bluuebunny/crossref_metadata_2025 huggingface dataset:
(Digital Presentation) In-Depth Analysis of Interfacial Processes between Lithium Metal and Polymer Electrolyte Using Electrochemical Impedance Spectroscopy and Distribution of Relaxation Times
Authors: Lennartz Peter , Chiou Min-Huei , Thienenkamp Johannes H. , Winter Martin , Brunklaus Gunther
Published: November 2022

Rechargeable solid-state lithium metal batteries are highly promising systems beyond lithium-ion technology, potentially affording high gravimetric and volumetric energy densities. Despite substantial progress in this field, significant challenges remain, including interfacial changes upon cell operation and achievement of reversible lithium inventory. Here, polymer electrolytes may offer flexible solutions and operational safety, providing compromises among conflicting demands of mechanical robustness and sufficient ionic conductivity, though advancements and tailored design of future polymer materials of functional layers and cell designs require input from insights into interfacial processes, characteristic charge transfer rates and associated resistances at electrode|electrolyte interfaces, respectively.

In this work, electrochemical impedance spectroscopy (EIS) is therefore carefully exploited for the analysis of relevant charge transfer processes in case of introduced polymer electrolytes[1], invoking a distribution of relaxation times (DRT) approach. The obtained complex permittivity and conductivity of the materials upon variation of temperature as well as explicit modification of the thin lithium metal electrodes with artificial polymer layers yield characteristic data of the evolution of interfacial resistances and the corresponding charge transfer reactions, in this way demonstrating the significant diagnostic strength of EIS/DRT analysis for future developments. In addition, operando EIS/DRT analysis is done upon plating of lithium metal, complemented by 7Li solid-state NMR spectra acquired at various states during lithium deposition, thereby revealing occurring species and their microstructures based on the 7Li NMR chemical shifts.

In summary, EIS/DRT analysis is utilized as powerful diagnostic technique, highlighting how to exploit observable trends of characteristic parameters at electrode|electrolyte interfaces for future design of polymer-based materials as well as high performance cell concepts.

[1]Chiou et al., Journal of Power Sources 538 (2022) 231528

Figure 1
Incorporating Heteroatom-Doped Graphene in Electrolyte for High-Performance Lithium-Sulfur Batteries
Authors: Shah Vaidik , Joo Yong Lak
Published: November 2022

Despite dominating the current commercial energy storage landscape, Li-ion batteries are fast approaching their theoretical limit. Meanwhile, Lithium Sulphur (Li-S) batteries, owing to their ultrahigh theoretical energy density of about 2600 Whkg-1, low-cost, Earth-abundant, and environmentally friendly sulfur (S) cathode, are seen as promising replacements to realize energy densities beyond 500 Whkg-1. Despite these advantages, the large-scale implementation of Li-S technology has been stymied due to several issues, one of the most deleterious of them is the dissolution and shuttling of polysulfide intermediates during cycling resulting in severe self-discharge, lowered S utilization and coulombic efficiency. Over the past decades, substantial amount of research towards mitigating ‘polysulfide shuttling’ shuttling has been focused on cathodic modification strategies such as infiltration of S in porous carbon, metal oxide or conducting polymer scaffold matrix which retard the mobility and loss of active material. However, such simple confinement strategies have been shown to be lacking over long cycling due to the relatively weak intermolecular interactions between the host and polysulfide molecules. An effective solution comes in the form of engineering ‘sulfiphilic’ materials that adsorb polysulfide species. For example, surface modification of cathodes with rGO and functionalized carbon species have shown success in reducing the redox shuttling. However, these approaches require elaborate preparation and hence, are limited in their practical usage.

To overcome this, we propose a facile approach to improve cell performance via incorporation of functionalized graphenic species in the Li-S electrolyte. In this work, we have probed the impact of using tailored single-layer, heteroatom-doped graphene as electrolyte additives. We have studied the impact of their morphology and functionalization on the electrochemical performance of the cell. Results show a marked improvement in the discharge capacity and a high capacity retention of 84% over 105 cycles at 0.2 C cycling rate. The GCD cycle analysis showed an improvement in first cycle discharge plateau suggesting improved S utilization which was further substantiated by extensive postmortem analysis and polysulfide adsorption testing. Further, the electrolyte-modified cells showed an impressive three-fold and two-fold improvement in capacity at 1C and 2C cycling rates, respectively.

These results demonstrated that tailored heteroatom-doped graphene in the form of electrolyte additive is an effective strategy to improve electrochemical performance via enhanced polysulfide encapsulation, cell conductivity and anode stabilization. Finally, we will present the effect of heteroatom-doped graphenic species on mitigation of polysulfide shuttling and cell performance when they are incorporated in the gel electrolyte system.
Unique Decoration of NiO Nanostructures on the Electrospun Carbon Nanofibers for High Performance Supercapacitor
Authors: Doo Chan , Akhtar M. Shaheer , Yang O-Bong
Published: November 2022

Carbon materials having fibrous structures and large specific surface area have shown the great utility value as an electrode material and catalyst support because they present excellent chemical stability, good ionic fluidity and electrical conductivity. Recently, the combination of carbon nanofibers (CNFs) and transition metal oxides such as NiO are received a great deal of interest as effective electrode materials for high performance electrochemical. In the present work, NiO decorated CNFs materials were prepared by the hydrothermal growth of NiO on the surface of electrospun CNFs at low temperature. For CNFs preparation, the electrospinning method was adopted by using 10% PAN solution with the electrospinning conditions like stock feeding rate of 0.5 ml/h and supplying a constant voltage of 15 kV. The obtained PAN mat was first under gone by stabilization at 280oC for 2h and then performed the carbonization in a tube furnace under N2 atmosphere at 800°C for 2 h. The prepared electrospun CNFs and decorated NiO/CNFs were extensively analyzed by various experimental tools such as FE-SEM, TEM, XRD, FTIR and Raman analysis. The structural and crystalline observations deduced the significant and uniform decoration of NiO nanostructures on electrospun CNFs. The decorated NiO/CNFs were applied as electrode for fabricating the electrochemical supercapacitor by measuring cyclicvoltametry (CV) and galvanostatic charge/discharge (GCD). The decorated NiO/CNFs electrode attained the good specific capacitance with excellent rate capability in 1M Na2SO4 solution as electrolyte. Therefore, the decorated NiO/CNFs would be highly promising material for high performance supercapacitors.
Hierarchical Carbon Composites for High-Reliability Supercapacitors
Authors: Patra Jagabandhu , Chang Jeng-Kuei
Published: November 2022

The reliability of electric double-layer capacitors (EDLCs), long overlooked, is important for practical applications. For instance, issues like leakage current (leading to energy loss and heat generation), gassing (increasing internal pressure), and aging (causing capacity fading and cell resistance to rise) greatly affect the applicability of EDLCs. A hierarchical electrode design is developed in the present work to deal with these problems. The hierarchical carbon composites that consist of activated carbon (AC), zero-dimensional carbon nanospheres (CNSs) and one-dimensional CNTs are fabricated using a facile and cost-effective method, which can be easily scaled up for mass production. The charge-discharge properties, operation voltage, temperature profile during charging/discharging, leakage current, gas evolution, and self-discharge of the EDLCs are systematically investigated. The electronic conductivity of the electrodes is found to crucially influence the EDLC overall performance. A hierarchical carbon architecture with an appropriate AC/CNS/CNT constituent ratio can significantly improve charge-discharge capacitances, increase cell reliability, and decrease the aging-related degradation rate.
Onion-like Carbon (OLC), Iron, Cobalt and Nitrogen X-Ray Absorption Spectroscopy (XAS) Data Analysis
Authors: Vicente Ramos Kelvin J , Vargas Brenda L , Hiram Lopez-Astacio Hiram J , Cunci Lisandro
Published: November 2022

This project was about analyzing the data of the X-Ray Absorption Spectroscopy (XAS) of several synthesis of modified Onion-like Carbon (OLC) nanoparticles with nitrogen conductive polymers to study different catalysts for the Oxygen Reduction Reaction (ORR). Also, observing differences in the oxidation state, geometry, iron and cobalt bonds, and structures between the samples at different potentials were some of the objectives in this investigation. The PyMca program was used to normalized the samples and transferred the scan’s data. In Athena for the X-Ray Absorption Near Edge Structure (XANES) region, the scans were merged for every sample individually by adjusting the pre-edge, post-edge, spline range in “k”, and the normalization order parameters. Subsequently, Artemis for the Extended X-Ray Absorption Fine Structure (EXAFS) region was used to fit the first and second shell of the samples used in Athena. Here we used a FEFF calculations file from a Cobalt Oxide and Iron Oxide compounds that have similar elements to the ones in our samples. As results, we have been able to fit the N-OLC/FeCo (1:3)-Co and N-OLC/FeCo(1:3)-Fe. In both cases the fits from the first shell were from Co-O and Fe-O bonding interactions and the fits from the second shell were from Co-Co and Fe-Fe bonding interactions between the atoms.
Heterostructured Carbon Mesonetworks By Electrospinning
Authors: Texter John , Li Qi , Yan Feng
Published: November 2022

Thermodynamically stable dispersions of carbon nanotubes and graphene in water are prepared at high concentrations (6-17 % by weight) by scalable liquid phase exfoliation processing using polymerized ionic liquid (PIL) stabilizers (nanolatexes, nanoparticles). This stability emanates from stabilizers that are based on imidazolium moieties that provide strong binding to the sp2 surfaces of nanocarbons while exhibiting high solvation by water. These dispersions provide means to make advanced materials and coatings exhibiting ultra-high thermal conductivity, shear switchable rheo-optical fluids, and heterostructured and high specific surface area coatings. Such advanced coatings provide a platform for catalytic membranes and electrocatalytic electrodes derived by electrospinning and further extend the utility and potential of 2D materials. We demonstrate how nonwoven mats made by electrospinning can dimensionally grow beyond the inherent 1D fibers, intrinsic to electrospinning, to provide 2D- heterostructured networks. These networks are obtained by operating close to an instability boundary, the Rayleigh instability, where fluid (electrospinning) streams decompose into droplets. Two classes of such networks are demonstrated and discussed, wherein the carrier fluid is an aqueous solution of poly(vinyl alcohol), PVA:

(i) The first is derived from aqueous graphene (2D) dispersions stabilized by 0D PIL nanolatexes (NLs) 20-30 nm in diameter. As the Plateau-Rayleigh instability is approached, the usual 1D fiber morphology transforms to (preserve) reveal the intrinsic 2D morphology of individual nanoplatelets that are connected by nanofibers.

(ii) The second is derived from aqueous MWCNT (1D) dispersions stabilized by 0D NLs. As the Plateau-Rayleigh instability is approached, on drying a heterostructured 2D network is formed, where 0D (NL) + 1D (MWCNT) yields 2D networks. These 2D “microfilms” form from collapse of multiphase fluid menisci comprising aqueous PVA solution and NLs shed from MWCNT surfaces and are supported by mini-networks of MWCNTs.

Morphology tuning, modulation of ionic and electrical conductivities, and directions for future applications are discussed. These examples provide bases for increasing network dimensionality using colloidal re-equilibration, rather than by diffusion-limited aggregation.
Effect of Two Dimensional Additives on the Charge Storage Performance of All Solid-State Carbon Nanotube Based Flexible Supercapacitors.
Authors: Lonkar Sunil , Busa Chiara
Published: November 2022

Flexible and miniaturized electronic devices have attracted widespread attention due to their potential for future hand-held, portable consumer, and wearable electronics. This has incited a growing interest in the development of compact yet efficient power sources that are flexible and holds the potential to be implemented in confined space for newer applications. In the present work, we report the CNT (Carbon NanoTubes) buckypaper integrated with electroactive 2D materials such as graphene, graphene oxide (GO), and the transition metal sulphides (TMDs) especially, tin sulphide (SnS2). The flexible and free-standing, interface-enhanced CNT paper having homogeneously dispersed 2D materials was prepared using a traditional scalable casting method. The hybridized CNT films were thoroughly characterized to elucidate their structural and surface properties. Finally, such hybrid CNT films were used as, free-standing electrodes without any binder for the fabrication of flexible-solid-state supercapacitor (FSSSs) devices. In the FSSS, the electrochemical interactions between hybrid CNT paper electrodes and polymer gel electrolyte were studied. In the symmetric configuration, the CNT-SnS2 electrodes reach the highest areal and volumetric capacitance, and almost 4 times that of pristine CNT electrodes, whereas CNT-GO-based electrodes display high-rate capability. The CNT-SnS2-based symmetric FSSS devices exhibit an extended voltage window of 1.5 V with a high capacitance of 133 mF/cm2 and show high cyclic stability for 5000 cycles under 180 ⁰ bending.
Maternal electronic cigarette use during pregnancy affects long-term arterial function in offspring
Authors: Aboaziza Eiman , Feaster Kimberly , Hare Lance , Chantler Paul D. , Olfert I. Mark
Published: November 2022

We observe a significant alteration in arterial structure and function in adolescent and adult offspring due to developmental exposure to toxicants resulting from perinatal maternal vaping. Taken together with previous work that described lasting dysfunction in cerebral microvasculature in offspring, these data underscore the adverse consequences of maternal exposure to electronic cigarette aerosol in conduit and resistance vessels alike, irrespective of nicotine content.
Targeting drug or gene delivery to the phrenic motoneuron pool
Authors: Thakre Prajwal P. , Rana Sabhya , Benevides Ethan S. , Fuller David D.
Published: November 2022

Phrenic motoneurons (PhrMNs) innervate diaphragm myofibers. Located in the ventral gray matter (lamina IX), PhrMNs form a column extending from approximately the third to sixth cervical spinal segment. Phrenic motor output and diaphragm activation are impaired in many neuromuscular diseases, and targeted delivery of drugs and/or genetic material to PhrMNs may have therapeutic application. Studies of phrenic motor control and/or neuroplasticity mechanisms also typically require targeting of PhrMNs with drugs, viral vectors, or tracers. The location of the phrenic motoneuron pool, however, poses a challenge. Selective PhrMN targeting is possible with molecules that move retrogradely upon uptake into phrenic axons subsequent to diaphragm or phrenic nerve delivery. However, nonspecific approaches that use intrathecal or intravenous delivery have considerably advanced the understanding of PhrMN control. New opportunities for targeted PhrMN gene expression may be possible with intersectional genetic methods. This article provides an overview of methods for targeting the phrenic motoneuron pool for studies of PhrMNs in health and disease.
Can moving in a redundant workspace accelerate motor adaptation?
Authors: Esfandiari Jahangir , Razavizadeh Seyedsina , Stenner Max-Philipp
Published: November 2022

Interindividual differences in motor adaptation are partly explained by differences in movement variability. Movement variability is higher in a redundant workspace. Can workspace redundancy increase adaptation? In a within-subject experiment, we show that moving in a workspace that permits versus constrains movement variability in a given spatial dimension modulates adaptation rate in that dimension, at least in part of the workspace where initial movement trajectories vary most, indicating planning noise. Redundant workspaces might aid rehabilitation.
Molecular Dynamics Simulation of Ligands from Anredera cordifolia (Binahong) to the Main Protease (Mpro) of SARS-CoV-2
Authors: Fatriansyah Jaka Fajar , Boanerges Ara Gamaliel , Kurnianto Syarafina Ramadhanisa , Pradana Agrin Febrian , Fadilah  , Surip Siti Norasmah
Published: November 2022

COVID-19 in Indonesia is considered to be entering the endemic phase, and the population is expected to live side by side with the SARS-CoV 2 viruses and their variants. In this study, procyanidin, oleic acid, methyl linoleic acid, and vitexin, four compounds from binahong leaves-tropical/subtropical plant, were examined for their interactions with the major protease (Mpro) of the SARS-CoV 2 virus. Molecular dynamics simulation shows that procyanidin and vitexin have the best docking scores of −9.132 and −8.433, respectively. Molecular dynamics simulation also shows that procyanidin and vitexin have the best Root Mean Square Displacement (RMSD) and Root Mean Square Fluctuation (RMSF) performance due to dominant hydrogen, hydrophobic, and water bridge interactions. However, further strain energy calculation obtained from ligand torsion analyses, procyanidin and vitexin do not conform as much as quercetin as ligand control even though these two ligands have good performance in terms of interaction with the target protein.
Coupled Fixed Point Theorem for the Generalized Langevin Equation with Four-Point and Strip Conditions
Authors: Salem Ahmed , Mshary Noorah
Published: November 2022

By considering a metric space with partially ordered sets, we employ the coupled fixed point type to scrutinize the uniqueness theory for the Langevin equation that included two generalized orders. We analyze our problem with four-point and strip conditions. The description of the rigid plate bounded by a Newtonian fluid is provided as an application of our results. The exact solution of this problem and approximate solutions are compared.
X-Ray Breast Images Denoising Method Based on the Convolutional Autoencoder
Authors: Yang Chensheng , Ye Junbo , Wang Yanwei , Song Chengling
Published: November 2022

Considering the potential risk of X-ray to patients, denoising of low-dose X-ray medical images is imperative. Inspired by deep learning, a convolutional autoencoder method for X-ray breast image denoising is proposed in this paper. First, image symmetry and flip are used to increase the number of images in the public dataset; second, the number of samples is increased further by image cropping segmentation, adding simulated noise, and producing the dataset. Finally, a convolutional autoencoder neural network model is constructed, and clean and noisy images are fed into it to complete the training. The results show that this method effectively removes noise while retaining image details in X-ray breast images, yielding higher peak signal-to-noise ratio and structural similarity index values than classical and novel denoising methods.
A New Model of Environmental-Economic Coordination Prediction Using Credible Neural Network Integration and Big Data Analysis
Authors: Yang Guangli , Li Xia , Yu Tingfang , Wu Shaoping , Liu Yingting
Published: November 2022

Currently, a significant portion of sustained economic growth still depends on a high input of resources. We must fully understand the significance, difficulty, and long-term nature of resource conservation and environmental protection. We must also intensify our efforts to protect the ecological environment. We must gradually form a production mode, lifestyle, and consumption mode conducive to environmental protection. We must also establish a benign interactive relationship with the environment. This study offers a big data analysis and neural network integration optimization design strategy for a new kind of environmental and economic coordination prediction model. The data of the new type of environmental and economic impact with numerous parameters are preprocessed using big data analysis and principal component analysis. A neural network integration system is used to create the prediction model, and prediction research and error analysis are conducted to enhance the new kind of environmental and economic model. The simulation test analysis is completed lastly. According to the simulation findings, the proposed arithmetic has an accuracy that is 8.56% higher than that of the conventional arithmetic. A sustainable improvement management system with environmental objectives, environmental management planning plans, and environmental monitoring systems can be established with help from the new environmental and economic coordination prediction model, which can also assist in predicting the potential environmental impact caused by economic development activities. This will ensure sustainable development as a result of the mechanism.
Preference for Stronger Taste Associated with a Higher Risk of Hypertension: Evidence from a Cross-Sectional Study in Northwest China
Authors: Liu Huimeng , Wang Yutong , Zhang Binyan , Huo Yating , Cao Suixia , Liu Jingchun , Zeng Lingxia , Yan Hong , Dang Shaonong , Mi Baibing
Published: November 2022

Background. Dietary modulation is a primary lifestyle approach for reducing the risk of hypertension. However, evidence of the potential role that a dietary taste preference plays in the risk of hypertension remains limited. Methods. A cross-sectional analysis was conducted based on the Shaanxi baseline survey of the Regional Ethnic Cohort Study. We used self-reported salt consumption and intensity preferences for sourness and spiciness to calculate the taste preference score, which was categorized into bland, moderate, and strong. A generalized linear mixed model and quantile regression were performed to estimate associations between taste preferences and hypertension/blood pressure. Results. Among 27,233 adults, 72.2% preferred a moderate taste and 21.4% preferred a strong taste. Compared with a bland taste, a stronger taste preference might be associated with a higher risk of hypertension (adjusted OR for a moderate taste = 1.25, 95% CI: 1.06, 1.49; adjusted OR for a strong taste = 1.41, 95% CI: 1.15, 1.71; Ptrend = 0.002), especially in females (adjusted OR for a moderate taste = 1.43, 95% CI: 1.24, 1.66; adjusted OR for a strong taste = 1.55, 95% CI: 1.32, 1.83;

P

t
r
e
n
d

<
0.001

). Quantile regression showed that the taste preference was positively associated with diastolic blood pressure (DBP) (P5-P80) in females, with an average increase of 3.31 mmHg for a strong taste (β = 3.31,

P
<
0.001

) and 1.77 mmHg for a moderate taste (β = 1.77, P = 0.008). Conclusions. A preference for stronger multitastes of salty, sour, and spicy might be associated with a higher risk of hypertension, especially in females. This relationship possibly occurs through increasing DBP. Dietary modulation with the promotion of a bland taste is encouraged.
Research on Boruta-ET-Based Anomalous Traffic Detection Model
Authors: He Hongyan , Huang Guoyan , Zhang Bing , Qin Lewei
Published: November 2022

With the rapid development of networks, intrusion detection has received increasing attention. In order to solve the problems of large dimensionality of intrusion detection data, unbalanced data samples, and large dispersion of datasets, which seriously affect the classification performance, this study proposes an anomaly detection based on Boruta and extreme tree (Boruta-ET) model. First, the network traffic data are preprocessed, which includes data cleaning, numerical and normalization processes, as well as equalization of the attack categories for a small number of samples by random oversampling at the data level; second, the traffic features are dimensionality reduced using the Boruta-based algorithm. The goal of Boruta dimensionality reduction is to extract all the features related to the dependent variable with a global dimension and find the optimal subset of features containing the most information; finally, the optimal feature subset is used as the input parameters of the extreme tree (ET) algorithm model for training and testing. Experiments were conducted on the real network traffic dataset CICIDS2017, and by evaluating the classification performance of several different machine learning algorithms, the experimental results show that the Boruta-ET model has the best performance with an accuracy rate of 99.80%, which can effectively improve the detection rate and achieve an effective recall rate for attack types with a small number of samples.
An overview of the potential of Citrus hystrix (kaffir lime) essential oil as mosquito repellent
Authors: Md Zaki Nurul Asyikin , Jai Junaidah , Shahrizan Izzat Syahmi Kamal , Fardhyanti Dewi Selvia , Megawati Megawati , Imani Nadya Alfa Cahaya
Published: November 2022

A chemical-based insect repellent such as N, N-diethyl-3-methylbenzamide (DEET) is commonly used against all insects despite its toxicity in humans. Hence, a repellent agent from natural sources of plant essential oil was introduced. Some of the plants which have the repellent potential are catnip, hairy basil, citronella, vetiver, clove, and citrus. Citronellal, citronellol, geraniol, eugenol, eugenol-acetate, and beta-caryophyllene are among the repellent active components in these plants. Citrus hystrix (kaffir lime) was known for several applications in food, health, and skincare, but its potential as mosquito repellent is still new. This overview paper highlights the potential of kaffir lime essential oil as a mosquito repellent and the encapsulation of essential oil related to mosquito repellent. Several studies on kaffir lime essential oil as mosquito repellent was conducted and revealed that the major repellent active components are citronellol and limonene. Pure kaffir lime essential oil provides one-hour repellent protection against the mosquito. However, an addition of 5% vanillin prolongs the protection time to three hours. Essential oil is easily vaporized at room temperature which shortens its effectiveness time. Encapsulation of the essential oil would control the vaporization process and hence prolong its efficiency. Nonetheless, almost no research work reported on the encapsulation of kaffir lime essential oil and the release mechanism of the encapsulated kaffir lime.
Análise da atratividade turística do litoral piauiense: atualização da avaliação dos atrativos turísticos, entre 2010 e 2020
Authors: Braga Solano de Souza , Guzzi Anderson , Perinotto André Riani Costa , Malta Guilherme Augusto Pereira
Published: November 2022

O diálogo proposto sobre o potencial dos atrativos turísticos e as políticas públicas adotadas no estado do Piauí aborda algumas das questões para o turismo não se refletir em desenvolvimento nos quatro municípios do litoral piauiense, sendo eles de Ilha Grande, Luís Correia, Parnaíba e Cajueiro da Praia. A inadequação ou desconhecimento dos atrativos turísticos e do tipo de turismo planejado e pretendido pelos governos e empresários foram considerados os fatores de destaque. Para a compreensão deste cenário, optou-se pela reavaliação do potencial dos atrativos turísticos naturais e culturais com base no Inventário da Oferta Turística conduzido nos anos de 2019 e 2020. O objetivo foi comparar com o diagnóstico semelhante realizado em 2010 no Plano de Desenvolvimento Integrado do Turismo Sustentável Costa do Delta financiado pela Secretaria de Estado de Turismo do Piauí para direcionar as políticas públicas do setor.  Após a análise dos dados notou-se que a espacialização da infraestrutura turística está concentrada em alguns pontos da costa e a maioria dos atrativos turísticos localizados fora desta faixa territorial foram ignorados pelos empresários e pelo poder público. Observou-se, ainda, a existência da aposta no Turismo de Sol e Praia como a única forma de atrair turistas para os municípios do litoral piauiense. Espera-se que este estudo possa ser considerado para a elaboração dos planos municipais de turismo e para o Plano de Turismo do Polo Costa do Delta, pois o Piauí tem grande e diversificado potencial para o Ecoturismo.
Peripheral Eosinophil Count Is Associated With the Prognosis of Patients With Type B Aortic Dissection Undergoing Endovascular Aortic Repair: A Retrospective Cohort Study
Authors: Zhao Kaiwen , Zhu Hongqiao , Ma Jiqing , Zhao Zhiqing , Zhang Lei , Zeng Zan , Du Pengcheng , Sun Yudong , Yang Qin , Zhou Jian , Jing Zaiping
Published: November 2022

Background

Eosinophil count (EOS) has been proposed to provide prognostic information in multiple cardiovascular disorders. However, few researchers have investigated the predictive value of EOS for patients with type B aortic dissection who had thoracic endovascular repair.

Methods and Results

The authors reviewed the records of 912 patients with type B aortic dissection who were treated with thoracic endovascular repair in Changhai Hospital, Shanghai. By using receiver operating characteristic curve analysis, patients were divided into 2 groups based on the admission EOS cutoff value (<7.4×10
6
/L [n=505] and ≥7.4×10
6
/L [n=407]). To reduce selection bias, propensity score matching was applied. Multivariable regression analysis and Kaplan–Meier curves were performed to assess the association between EOS and long‐term outcomes. Furthermore, we investigated nonlinear correlations between EOS and outcomes using general additive models with restricted cubic splines. In the matched population, lower EOS was associated with significantly higher 30‐day mortality (4.1% vs 0%,
P
=0.007). There was no statistically difference in 30‐day adverse events between the 2 groups (all
P
>0.05). Kaplan–Meier analysis revealed that patients with an EOS <7.4×10
6
/L had a higher incidence of 1‐year all‐cause death (7.95% vs. 2.34%,
P
=0.008) and aortic‐related death (5.98% vs 1.81%,
P
=0.023) than those with higher EOS. Multivariable Cox analysis showed that continuous EOS was independently associated with 1‐year mortality (hazard ratio, 3.23 [95% CI, 1.20–8.33],
P
=0.019). In addition, we discovered a nonlinear association between EOS and 1‐year outcomes.

Conclusions

Lower admission EOS values predict higher short‐ and long‐term mortality after thoracic endovascular repair.
Brain Aneurysm Biology: What Can We Learn From Imaging?
Authors: Samaniego Edgar A.
Published: November 2022

Aneurysmal subarachnoid hemorrhage portends a high risk of mortality and disability. The clinical and radiological assessment of the risk of a brain aneurysm rupture would aid clinicians in triaging patients for treatment versus observation. However, the specific mechanism underlying the formation, growth, and rupture of brain aneurysms is not known. The development of high‐resolution magnetic resonance imaging and the refinement of postacquisition processing protocols have made it possible to analyze the aneurysm wall in detail. The 7T and 3T magnetic resonance imaging scanners provide high spatial resolution images with a high signal‐to‐noise ratio. The structure, morphology, location, and enhancement features of the aneurysm wall can be characterized with this level of detailed images. Abnormal wall characteristics can then be correlated with blood flow parameters, presence of inflammation, and pathological conditions of the wall. These imaging and analysis tools provide a unique opportunity to estimate the risk of aneurysm development and growth and to better identify novel markers of intracranial aneurysm instability. Morphological analysis of individual aneurysms combined with detailed characterization of the aneurysm wall, and clinical patient information could lead to an accurate and personalized risk prediction of aneurysm rupture.
Public Leaderboard Feedback in Sampling Competition: An Experimental Investigation
Authors: Hudja Stanton , Roberson Brian , Rosokha Yaroslav
Published: November 2022

We investigate the role of performance feedback, in the form of a public leaderboard, in a sequential-sampling contest with costly observations. We show theoretically that for contests with a fixed ending date (i.e., finite horizon), providing public performance feedback may result in fewer expected observations and a lower expected value of the winning observation. We conduct a controlled laboratory experiment to test the theoretical predictions and find that the experimental results largely support the theory. In addition, we investigate how individual characteristics affect competitive sequential-sampling activity.
Peer Advice on Financial Decisions: A Case of the Blind Leading the Blind?
Authors: Ambuehl Sandro , Bernheim B. Douglas , Ersoy Fulya , Harris Donna
Published: November 2022

We investigate the impact of peer interaction on the quality of financial decision making in a laboratory experiment. Face-to-face communication with a randomly assigned peer significantly improves the quality of subsequent private decisions even though simple mimicry would have the opposite effect. We present evidence that the mechanism involves general conceptual learning (because the benefits of communication extend to previously unseen tasks), and that the most effective learning relationships are horizontal rather than vertical (because people with weak skills benefit most when their partners also have weak skills). The benefits of demonstrably effective financial education do not propagate to peers.
Worker Earnings, Service Quality, and Firm Profitability: Evidence from Nursing Homes and Minimum Wage Reforms
Authors: Ruffini Krista
Published: November 2022

This paper examines whether higher earnings for frontline workers affects the quality of employees’ output. I leverage increases in the statutory minimum wage, combined with worker, consumer, and firm outcomes in the nursing home sector. I find that higher minimum wages increase income and retention among low-wage employees and improve consumer outcomes, measured by fewer inspection violations; lower rates of adverse, preventable health conditions; and lower resident mortality. Firms maintain profitability by attracting consumers with a greater ability to pay and increasing prices for these individuals.
Decontextualized Instruction or Disembodied Reading?
Authors: Currier Elizabeth
Published: November 2022

Scholars agree that the book of Proverbs cannot be related to an actual performance context. Many identify literarily staged performance contexts and, therefore, speech performances in the book. The idea of an actual performance context is dismissed on the ground that no oral-performance setting can be reconstructed for any part of Proverbs. In this article, I suggest that cognitive research into how humans process language fills theoretical lacunae in approaches that limit performance context and speech performance to ancient oral settings. I propose conceptual models of performance context and speech performance that account for interpretations common among scholars that Proverbs was produced to influence readers, in spite of our inability to reconstruct ancient oral performance settings. In sum, I suggest that the communicative (if asynchronous) interaction between producers and readers (ancient to modern) can be seen as the actual (if composite and entirely cognitive) performance context of the book.
The Beatitude אַשְׁרֵי and the Confession of Sins in Psalms 32–41
Authors: van der Lugt Pieter
Published: November 2022

Different from the general opinion that Pss 25–34 and 35–41 represent individual cycles of poems, this article argues that the concluding cycle of Book I of the Psalter starts with Ps 32. The cycle Pss 32–41 is determined by the beatitude אַשְׁרֵי, which opens Pss 32 and 41. The cycle as a whole consists of eleven poems and represents a poetic tryptich: with its 42 poetic lines the alphabetic acrostic Ps 37 takes a central position and is framed by panels of five poems on both sides.
Phylogenetic position of Ptychaphelenchus eucalypticola Hodda, 2009 within the Aphelenchoidoidea Skarbilovich, 1947 (Siddiqi, 1980) inferred from partial 18S and 28S rDNA gene sequences
Authors: Huston Daniel C. , Khudhir Manda , Hodda Mike
Published: November 2022

At the time of description, the morphology of Ptychaphelenchus eucalypticola Hodda, 2009 indicated it could be assigned to either the Aphelenchoididae Skarbilovich, 1947 (Paramonov, 1953) or the Parasitaphelenchidae Ruehm, 1956 (Siddiqi, 1980) within the Aphelenchoidoidea Skarbilovich, 1947 (Siddiqi, 1980). Although P. eucalypticola was, tentatively, and remains assigned to the Aphelenchoididae, its relationships with other aphelenchoids have not been reassessed, and no molecular data were previously available for this species. We re-collected P. eucalypticola from its type host and locality, Eucalyptus macrorhyncha F. Muell. ex Benth., from Mount Ainslie, ACT, Australia. We performed Bayesian inference and maximum likelihood analyses of a concatenated 18S + 28S rDNA gene sequence dataset to determine the position of P. eucalypticola within the Aphelenchoidoidea, followed by 18S and 28S single-gene analyses to further assess relationships between this species and an expanded set of close relatives. All analyses indicated P. eucalypticola is correctly assigned to the Aphelenchoididae, in a clade comprising all species of Ficophagus Davies & Bartholomaeus, 2015 and some species presently assigned to Aphelenchoides Fisher, 1894, sister to Martininema Davies & Bartholomaeus, 2015 and additional species of Aphelenchoides. Our 18S single-gene analyses did not resolve the position of P. eucalypticola relative to Aphelenchoides and Ficophagus; however, our 28S single-gene analyses indicated a sister relationship between P. eucalypticola and Ficophagus. This sister relationship is plausible as the former species shares many characteristics with species of the latter genus; however, there are sufficient morphological differences to consider P. eucalypticola as representative of a distinct lineage within the Aphelenchoidoidea.
Human Rights During the Pandemic and the National Human Rights Commission of Bangladesh
Authors: Rafid Raihan Rahman
Published: November 2022

The covid-19 outbreak has brought forth the existing cracks and crevices in the governance of Bangladesh. At such a time, the National Human Rights Commission of Bangladesh (nhrcb), as the only State institution mandated to protect and promote human rights exclusively and impartially, is tasked with a crucial role to ensure respect for human rights. This article assesses the activities undertaken by the nhrcb during the pandemic and finds that the nhrcb evinced only a limited role in monitoring the violation of rights and provided formulaic recommendations to the government. It did not observe the implementation of their recommendations and has performed rather formalistically. While the country has experienced a deteriorating human rights situation, the nhrcb has failed to flex its muscles when compared to other national human rights institutions in South Asia. This article argues that the national human rights institutions (nhri s) in India, Nepal and Sri Lanka, embedded in a similar context and armed with almost identical mandates, have demonstrated a novel and strenuous effort intending to adapt to and fulfil their functions during the unprecedented crisis. The nhrcb may benefit by learning from these nhri s as well as taking lessons from its own past activities. Previously, it did not eschew politically sensitive issues and earmarked a strong leadership even with limited institutional capacities. The nhrcb has however responded to the changing dynamics and challenges posed by the covid-19 pandemic with silence. It needs to become more vibrant to enhance, regionally and internationally, the country’s image in upholding human rights norms and standards.
Systematics of Potamanthodes nanchangi Hsu, 1936 (Ephemeroptera: Potamanthidae)
Authors: LI WEN-JUAN , MU PENG-XU , ZHOU CHANG-FA
Published: November 2022

The enigmatic mayfly Potamanthodes nanchangi Hsu, 1936 was briefly described based on a male. Currently, this species has an unclear taxonomic position and no supporting type specimen, consequently its recognition, differentiation and classification is vague. In this study, by using fresh specimens from type locality in Jiangxi province at central China, this species is redescribed, photographed, and a neotype is designated. This species evidently belongs to the genus Potamanthodes Ulmer, 1920 by its short mandibular tusks (shorter than head), presence of setae row on forefemora of nymphs, slender and deeply bifurcated V-shaped penes, common base of MP2 and CuA of forewings. Significant morphological characters defining this species are relatively long penial tips, greatly bent R1 of hindwings and small compound eyes of the males, large mandibular tusks and long forelegs of the nymphs. Therefore, the P. nanchangi is indeed a valid and apomorphic species in the genus Potamanthodes.
Arsenic trioxide nanoparticles carrying miRNA-499 agonist activate PI3K/Akt signaling pathway by targeting Bak1 gene to reverse myocardial ischemia reperfusion injury
Authors: Meng Qingdong , Yang Linfang , Sun Xinxin
Published: November 2022

We evaluated miRNA-499′s effect on myocardial ischemia reperfusion (IR) injury. Serum Creatine kinase (CK), malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH), and glutathione peroxidase (GSH-Px) levels, myocardial infarction area, miRNA-499, Bak1, PI3K, Akt Bcl-2, and Bax protein expressions were analyzed. CK levels in sham operation group were lowest after ischemia, while IR and negative control groups were highest, followed by the miR-499 group. IR and negative control groups showed highest MDA level, and lowest SOD, GSH and GSH-Px, followed by the miR-499 group. The IR group and negative control group showed significantly more infarct area than that of miR-499 group (p< 0.05). The lowest levels of Bak1, PI3K and Akt proteins were found in sham operation and miR-499 group, and the opposite was found in IR group (p< 0.05). Bcl-2 and Bax level expressions in sham-operation group and miR-499 group were lowest (p<0.05). Bak1 is a target for miR-499, and fluorescence intensity of mutant plasmid was increased (p< 0.05). In conclusion, miRNA-499 specifically binds to the target gene Bak1 and down-regulates Bak1 gene to activate the PI3K/Akt signaling pathway, therefore inhibiting myocardial apoptosis and ultimately ameliorating myocardial IR injury.
Single-Case-Design Research in Special Education: Next-Generation Guidelines and Considerations
Authors: Ledford Jennifer R. , Lambert Joseph M. , Pustejovsky James E. , Zimmerman Kathleen N. , Hollins Nicole , Barton Erin E.
Published: November 2022

Single-case design has a long history of use for assessing intervention effectiveness for children with disabilities. Although these designs have been widely employed for more than 50 years, recent years have been especially dynamic in terms of growth in the use of single-case design and application of standards designed to improve the validity and applicability of findings. This growth expanded possibilities and inspired new questions about the contributions this methodology can make to generalizable knowledge about intervention in special education. In this article, we discuss and extend previous standards for studies using single-case designs. We identify new suggestions for internal validity, generality and acceptability, and reporting. We also provide considerations for single-case synthesis and discuss the complexities of assessing accumulating evidence for a given practice.
Design and calibration of the accurate torque measurement systems of the precision robot reducer detector
Authors: Yu Zhen , Zhang Yuan , Yu Wancheng , Liu Xiaomin
Published: November 2022

The input and output torque testing is crucial for improving the quality of Industry robot reducers. In this study, the TMMISR and TMMOSR for a vertical-type robot reducer detector were designed. The length of measurement chain between the torque transducer and the tested reducer was shorten. The overall stiffness of this instrument has been improved through structural optimization. The characteristics of the two main parts of the torque-measurement errors were also analyzed. A high precision torque calibrator with a standard torque output is used to handle the torque calibration process. An error compensation method based on a backpropagation neural network was adopted for the error compensation process in this study. After error compensation, torque-measurement precision of 0.1% can be achieved by the reducer detector over the full torque measurement scale, and the instrument can be used for both static and dynamic measurements.
Novel Functional Peptide for Next-Generation Vital Pulp Therapy
Authors: Watanabe M. , Okamoto M. , Komichi S. , Huang H. , Matsumoto S. , Moriyama K. , Ohshima J. , Abe S. , Morita M. , Ali M. , Takebe K. , Kozaki I. , Fujimoto A. , Kanie K. , Kato R. , Uto K. , Ebara M. , Yamawaki-Ogata A. , Narita Y. , Takahashi Y. , Hayashi M.
Published: November 2022

Although vital pulp therapy should be performed by promoting the wound-healing capacity of dental pulp, existing pulp-capping materials were not developed with a focus on the pulpal repair process. In previous investigations of wound healing in dental pulp, we found that organic dentin matrix components (DMCs) were degraded by matrix metalloproteinase-20, and DMC degradation products containing protein S100A7 (S100A7) and protein S100A8 (S100A8) promoted the pulpal wound-healing process. However, the direct use of recombinant proteins as pulp-capping materials may cause clinical problems or lead to high medical costs. Thus, we hypothesized that functional peptides derived from recombinant proteins could solve the problems associated with direct use of such proteins. In this study, we identified functional peptides derived from the protein S100 family and investigated their effects on dental pulp tissue. We first performed amino acid sequence alignments of protein S100 family members from several mammalian sources, then identified candidate peptides. Next, we used a peptide array method that involved human dental pulp stem cells (hDPSCs) to evaluate the mineralization-inducing ability of each peptide. Our results supported the selection of 4 candidate functional peptides derived from proteins S100A8 and S100A9. Direct pulp-capping experiments in a rat model demonstrated that 1 S100A8-derived peptide induced greater tertiary dentin formation compared with the other peptides. To investigate the mechanism underlying this induction effect, we performed liquid chromatography–tandem mass spectrometry analysis using hDPSCs and the S100A8-derived peptide; the results suggested that this peptide promotes tertiary dentin formation by inhibiting inflammatory responses. In addition, this peptide was located in a hairpin region on the surface of S100A8 and could function by direct interaction with other molecules. In summary, this study demonstrated that a S100A8-derived functional peptide promoted wound healing in dental pulp; our findings provide insights for the development of next-generation biological vital pulp therapies.