bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Eutectic Mn(NO3)2−H2O Binary System as a Safe, Cost‐Effective, and Efficient Electrolyte for Supercapacitor Applications
Authors: Raghibi Mohamed , Nikiforidis Georgios , Anouti Mérièm 
Published: June 2023

AbstractDeep eutectic solvents (DESs) have proved to be an effective substitute for conventional electrolytes for energy storage applications because of their unique properties and ability to adapt them to specific applications. In this regard, this study examines an easy‐to‐produce, widely available and cheap manganese nitrate concentrated electrolyte that holds DES traits. The electrolyte (i. e., manganese nitrate; (Mn(NO3)2 ⋅ 6H2O with a weight composition of 42 %) revealed its eutectic behaviour by benchmarking the eutectic distance (53 °C), thermal expansion coefficient (3.9×10−4 K), activation energy for conductivity (∼2.45 kJ mol−1), and viscosity (14 kJ mol−1). What's more, it was successfully incorporated into a two‐electrode symmetric supercapacitor comprising activated carbon electrodes and demonstrated specific capacitance retention of 93 % (170 F g−1) through 2000 consecutive galvanostatic charge‐discharge cycles at 25 and −20 °C.
Ex situ/Operando X‐Ray Absorption Spectroscopy on Fe0.07Zr0.93O2‐δ/C vs. Fe−N−C as Pt‐Group‐Metal‐Free Oxygen Reduction Reaction Catalysts in Proton Exchange Membrane Fuel Cells
Authors: Damjanović Ana Marija , Freiberg Anna Theresa Sophie , Siebel Armin , Koyutürk Burak , Menga Davide , Krempl Kevin , Madkikar Pankaj , Proux Olivier , Gasteiger Hubert Andreas , Piana Michele 
Published: June 2023

AbstractIn this study, ex situ and operando X‐ray absorption spectroscopy (XAS) is employed to shed light on structure and degradation mechanism of Fe‐based catalysts for the oxygen reduction reaction (ORR) in proton exchange membrane fuel cells (PEMFCs). Ex situ XAS on pristine Fe0.07Zr0.93O2‐δ/C catalyst confirms the incorporation of Fe3+ in the ZrO2 structure and clearly exclude any significant presence of Fe−N−C‐type structures. The edge shift in data on in‐house aged samples demonstrates a mixed oxidation state of Fe (Fe3+ and Fe2+), consistent with Fe demetalation from the ZrO2 structure. Furthermore, a more symmetric coordination in the pre‐edge shape points towards the formation of oxidic Fe clusters upon aging. Fe demetalation is inferred also from the edge shift to higher energy (presence of Fe3+) in operando XAS data at 0.3 V, due to Fe phases not electrically polarizable/reducible at the applied voltage. Electrochemical data exclude any correlation between extent of aging and type of test, also for a commercial Fe−N−C catalyst by Pajarito Powder. The observed faster aging for Fe0.07Zr0.93O2‐δ compared to Fe−N−C is attributed to an improved mass transport to/from active sites, manifest also in very similar initial current densities at 0.3 V, despite much higher catalyst activity for Fe−N−C.
Overview of glottic laryngeal cancer treatment recommendation changes in the NCCN guidelines from 2011 to 2022
Authors: Arboleda Lady Paola Aristizabal , Neves Aline Borburema , Kohler Hugo Fontan , Vartanian José Guilherme , Candelária Letícia Miliano , Borges Matheus Ferraz , Fernandes Gisele Aparecida , de Carvalho Genival Barbosa , Kowalski Luiz Paulo , Brennan Paul , Santos‐Silva Alan Roger , Curado Maria Paula 
Published: June 2023

AbstractBackgroundThe treatment of glottic cancer remains challenging, especially with regard to morbidity reduction and larynx preservation rates. The National Comprehensive Cancer Network (NCCN) has published guidelines to aid decision‐making about this treatment according to the tumor site, clinical stage, and patient medical status.AimThe present review was conducted to identify changes in the NCCN guidelines for glottic cancer treatment made between 2011 and 2022 and to describe the published evidence concerning glottic cancer treatment and oncological outcomes in the same time period.Methods and ResultsClinical practice guidelines for head and neck cancer published from 2011 up to 2022 were obtained from the NCCN website (www.NCCN.org). Data on glottic cancer treatment recommendations were extracted, and descriptive analysis was performed. In addition, a review of literature registered in the PubMed database was performed to obtain data on glottic cancer management protocols and treatment outcomes from randomized controlled trials, systematic reviews, and meta‐analyses published from 2011 to 2022. In total, 24 NCCN guidelines and updates and 68 relevant studies included in the PubMed database were identified. The main guideline changes made pertained to surgical and systemic therapies, the consideration of adverse features, and new options for the treatment of metastatic disease at initial presentation. Early‐stage glottic cancer received the most research attention, with transoral endoscopic laser surgery and radiotherapy assessed and compared as the main treatment modalities. Reported associations between treatment types and survival rates for this stage of glottic cancer appear to be similar, but functional outcomes can be highly compromised.ConclusionNCCN panel members provide updated recommendations based on currently accepted treatment approaches for glottic cancer, constantly reviewing new surgical and non‐surgical techniques. The guidelines support decision‐making about glottic cancer treatment that should be individualized and prioritize patients' quality of life, functionality, and preferences.
How to assess and analyse session‐specific effects and predictors: An example with the Metacognitive Training for Obsessive‐Compulsive Disorder intervention
Authors: Miegel Franziska , Rubel Julian , Ching Terence H. W. , Yassari Amir‐H. , Bohnsack Frances , Duwe Maren , Jelinek Lena 
Published: June 2023

AbstractIt is essential to understand the effects of specific therapy elements (i.e., mechanisms of change) to optimize the efficacy of available treatments. There are, however, existing challenges in the assessment and analysis of constructs of interest. The present study aims to improve research on the effects of specific therapy elements using the example of the Metacognitive Training for Obsessive‐Compulsive Disorder (MCT‐OCD) intervention. Specifically, we introduce an innovative analytical method to identify predictors of treatment outcome and expand the assessment of common factors (e.g., coping expectations). A sample of 50 day‐ and inpatients with OCD was assessed before and after participation in an 8‐week MCT‐OCD programme. We investigated within‐session change in scores on revised questionnaires administered before and after each session. Linear mixed models (for session‐effects) and lasso regression (for prediction analyses) were used to analyse data. The revised assessments and data analyses showed greater improvement in dysfunctional (meta‐)cognitive beliefs over the time of the intervention and within sessions compared to previous MCT‐OCD studies. Some predictors, for example, improvement in coping expectation after the module on overestimation of threat for treatment outcome, were identified. The present study contributed to a better understanding of how to assess and analyse data of a modular intervention and demonstrated the strengths and weaknesses of different analytic approaches. Moreover, the analyses provided a deeper understanding of the specific effects and mechanisms of change of MCT‐OCD modules, which can be refined and examined in future studies.
Proteome‐Derived Peptide Libraries for Deep Specificity Profiling of N‐terminal Modification Reagents
Authors: Bridge Haley N. , Weeks Amy M. 
Published: June 2023

AbstractProtein and peptide N termini are important targets for selective modification with chemoproteomics reagents and bioconjugation tools. The N‐terminal ⍺‐amine occurs only once in each polypeptide chain, making it an attractive target for protein bioconjugation. In cells, new N termini can be generated by proteolytic cleavage and captured by N‐terminal modification reagents that enable proteome‐wide identification of protease substrates through tandem mass spectrometry (LC‐MS/MS). An understanding of the N‐terminal sequence specificity of the modification reagents is critical for each of these applications. Proteome‐derived peptide libraries in combination with LC‐MS/MS are powerful tools for profiling the sequence specificity of N‐terminal modification reagents. These libraries are highly diverse, and LC‐MS/MS enables analysis of the modification efficiencies of tens of thousands of sequences in a single experiment. Proteome‐derived peptide libraries are a powerful tool for profiling the sequence specificities of enzymatic and chemical peptide labeling reagents. Subtiligase, an enzymatic modification reagent, and 2‐pyridinecarboxaldehyde (2PCA), a chemical modification reagent, are two reagents that have been developed for selective N‐terminal peptide modification and can be studied using proteome‐derived peptide libraries. This protocol outlines the steps for generating N‐terminally diverse proteome‐derived peptide libraries and for applying these libraries to profile the specificity of N‐terminal modification reagents. Although we detail the steps for profiling the specificity of 2PCA and subtiligase in Escherichia coli and human cells, these protocols can easily be adapted to alternative proteome sources and other N‐terminal peptide labeling reagents. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Generation of N‐terminally diverse proteome‐derived peptide libraries from E. coliAlternate Protocol: Generation of N‐terminally diverse proteome‐derived peptide libraries from human cellsBasic Protocol 2: Characterizing the specificity of 2‐pyridinecarboxaldehyde using proteome‐derived peptide librariesBasic Protocol 3: Characterizing the specificity of subtiligase using proteome‐derived peptide libraries
Neutrality in Spain and Chile from the perspective of mediators: A literature review
Authors: Munuera Gómez Pilar , Valdebenito Larenas Caterine , Alemán Bracho Carmen , Molina Cano Jerónimo 
Published: June 2023

AbstractThis paper is based on the analysis of the importance given to neutrality in the intervention of mediators, with special emphasis on the legislation and codes of conduct followed by mediators in Spain and Chile. For this purpose, a review of the literature on neutrality has been carried out using various scientific databases and an analysis of the legislation in these countries. The aim of this analysis was to highlight the research carried out by mediation professionals on this issue and to propose possible solutions. Among the results achieved is the affirmation that neutrality is in the mediation process and not in the mediator. This reality is not reflected in ethical codes of conduct or in legislation. Therefore, it is proposed the need to elaborate a universal and accredited code of ethics, which would help to consolidate the current polyphony of voices on mediator neutrality in the countries where mediation is used. As mediation as a profession becomes more and more established, it is essential that the principle of neutrality be understood unambiguously. In contrast to the rules that appear in current legislation and in certain codes of conduct, mediators should not be subject to the constraints of achieving personal neutrality.
Stabilization of DC‐link voltage in single‐phase AC/DC converter with power factor correction using predictive control algorithm
Authors: Ojha Sandeep , Gupta Rajesh 
Published: June 2023

SummaryThis paper proposes a power factor correction (PFC) method in a single‐phase AC/DC converter using a predictive control algorithm (PCA) through a boost DC/DC converter. The minimum value of the DC‐link capacitor has been evaluated on the DC distribution side for stable operation of the converter. The proposed technique can be applied to the cascade connection of the converters, that is, the uncontrolled rectifier with boost converter and load. The value of the minimum capacitance is obtained as a function of the reference voltage of the DC‐link capacitor, the frequency of the supply, the input power, and the maximum DC‐link voltage. The proposed design is applied to control the boost converter for PFC applications using PCA at the minimum DC‐link capacitor value. The calculated value of DC‐link capacitance has been reduced to a greater extent as compared to the conventional calculation of DC‐link capacitance. The converter operation with the designed value of DC‐link capacitance has been verified through the MATLAB and Typhoon Simulink environment, and an experimental prototype model is used for the validation by using the FPGA based Typhoon HIL‐402 kit.
Gut brain regulation using psychobiotics for improved neuropsychological illness
Authors: Deepika  , Shukla Adarsh Kumar , Kumari Anita , Kumar Ashwani 
Published: June 2023

Abstract“Psychobiotics” are a novel class of probiotics that are beneficial to the health and functional efficiency of our brain and psychology. The main hold on command in ill conditions of the brain and psychology is overtaken by these psychobiotic bacteria (a dietary supplement) via the action/determined role of bacterial neurochemicals or neuroactive substances that are released by them in the intestinal epithelium after their ingestion. Although these psychobiotics flourish in the gut of the host consuming them, the effect is widely spread to the brain due to the communication between the gut and the brain via the bidirectional gut–brain axis. The nervous system involved in this directional process includes both the enteric nervous system and the central nervous system. With time, several corroborations have proved the effectiveness of psychobiotics in terms of mental illnesses and brain disorders. In the prevailing situation of the coronavirus pandemic, psychobiotics may serve as an aid because a majority of the population worldwide is already suffering from psychological issues due to changes in lifestyle and dietary habits, and in need of an immediate solution to cope with it. Moreover, the in silico approach is also vital for the development of biological relevance to neurosubstances.
Association of sleep quality, its change and sleep duration with the risk of type 2 diabetes mellitus: Findings from the English longitudinal study of ageing
Authors: Song Yanjun , Chang Zhen'ge , Song Chenxi , Cui Kongyong , Yuan Sheng , Qiao Zheng , Bian Xiaohui , Gao Ying , Dou Kefei 
Published: June 2023

AbstractAimsThis study aimed to evaluate the association of sleep quality and its long‐term change with the risk of type 2 diabetes mellitus (T2DM) and to assess the relationship between sleep duration and the risk of T2DM according to categories of sleep quality.Materials and Methods5728 participants free of T2DM at wave 4 from the English Longitudinal Study of Ageing were included and received a follow‐up with a median time of 8 years. We created a sleep quality score to evaluate sleep quality, which was based on three Jenkins Sleep Problems Scale questions (the frequency of feeling hard to fall asleep, waking up at night, and feeling tired in the morning) and one question for rating overall sleep quality. Participants were allocated into three groups according to their baseline sleep quality scores (groups of good [4–8], intermediate [8–12], and poor quality [12–16]). Sleep duration was assessed by a self‐reporting sleep hours from each participant.Results411 (7.2%) T2DM cases were documented during the follow‐up. Compared with the good quality group, subjects with poor sleep quality showed a significantly higher risk of T2DM (hazard ratio (HR) 1.45, confidence interval (CI) 1.09, 1.92). In participants with good baseline sleep quality, those who experienced worsened sleep quality showed a significantly increased T2DM risk (HR 1.77, 95% CI 1.26, 2.49). Type 2 diabetes mellitus risk was not changed regardless of sleep duration in subjects with good quality. Short sleep duration (≤4h) was associated with an elevated T2DM risk in participants with intermediate sleep quality, and both short (≤4h) and prolonged sleep time (≥9h) were associated with an increased T2DM risk in the poor sleep quality group.ConclusionsPoor sleep quality is correlated with an increase in T2DM risk, and regulating sleep quality to a good range could potentially be an effective approach for preventing T2DM.
Excavation compensation theory and supplementary technology system for large deformation disasters
Authors: He Manchao , Sui Qiru , Tao Zhigang 
Published: June 2023

AbstractGiven the challenges in managing large deformation disasters in energy engineering, traffic tunnel engineering, and slope engineering, the excavation compensation theory has been proposed for large deformation disasters and the supplementary technology system is developed accordingly. This theory is based on the concept that “all destructive behaviors in tunnel engineering originate from excavation.” This paper summarizes the development of the excavation compensation theory in five aspects: the “theory,” “equipment,” “technology,” the design method with large deformation mechanics, and engineering applications. First, the calculation method for compensation force has been developed based on this theory, and a comprehensive large deformation disaster control theory system is formed. Second, a negative Poisson's ratio anchor cable with high preload, large deformation, and super energy absorption characteristics has been independently developed and applied to large deformation disaster control. An intelligent tunnel monitoring and early warning cloud platform system are established for remote monitoring and early warning system of Newton force in landslide geological hazards. Third, the double gradient advance grouting technology, the two‐dimensional blasting technology, and the integrated Newton force monitoring––early warning––control technology are developed for different engineering environments. Finally, some applications of this theory in China's energy, traffic tunnels, landslide, and other field projects have been analyzed, which successfully demonstrates the capability of this theory in large deformation disaster control.
Comparison of root morphology and rhizosphere microbial communities form moso‐bamboo in different forest types
Authors: Liu Jingyu , Liao Huixuan , Fan Minghua , Zhou Ting , Peng Shaolin 
Published: June 2023

AbstractMoso‐bamboo (Phyllostachys edulis), with the favor of human disturbance, rapidly invades adjacent forests to form monocultures in East Asia. Moso‐bamboo not only intrudes the broadleaf forests but also the coniferous, and it could impact by above‐ and below‐ground pathways. However, it still remains unclear whether the below‐ground performance of moso‐bamboo differs from broadleaf to coniferous forests, especially those differing in competitive and nutrient acquisition strategies. In this study, we investigated three types of forest stands in Guangdong, China, including a bamboo monoculture, a coniferous forest, and a broadleaf forest. We found that moso‐bamboo may suffer stronger soil P limitation (soil N/P = 18.16) and may be infected by more AMF in coniferous than broadleaf forests (soil N/P = 16.17). Based on our PLS‐path model analysis, soil P resource may be the key to differ moso‐bamboo root morphology and rhizosphere microbe in different forests: in broadleaf forests with weaker soil P limitation, may be realized through increasing specific root length and specific surface area, whereas in coniferous forests with stronger soil, P limitation may be realized through combining more AMF. Our study highlights the importance of underground mechanisms about moso‐bamboo expansion in different forest communities.
Combining multiple data sources with different biases in state‐space models for population dynamics
Authors: Polansky Leo , Mitchell Lara , Newman Ken B. 
Published: June 2023

Abstract

The resolution at which animal populations can be modeled can be increased when multiple datasets corresponding to different life stages are available, allowing, for example, seasonal instead of annual descriptions of dynamics. However, the abundance estimates used for model fitting can have multiple sources of error, both random and systematic, namely bias. We focus here on the consequences of, and how to address, differing and unknown observation biases when fitting models.

State‐space models (SSMs) separate process variation and observation error, thus providing a framework to account for different and unknown estimate biases across multiple datasets. Here we study the effects on the inference of including or excluding bias parameters for a sequential life stage population dynamics SSM using a combination of theory, simulation experiments, and an empirical example.

When the data, that is, abundance estimates, are unbiased, including bias parameters leads to increased imprecision compared to a model that correctly excludes bias parameters. But when observations are biased and no bias parameters are estimated, recruitment and survival processes are inaccurately estimated and estimates of process variance become biased high. These problems are substantially reduced by including bias parameters and fixing one of them at even an incorrect value. The primary inferential challenge is that models with bias parameters can show properties of being parameter redundant even when they are not in theory.

Combining multiple datasets into a single analysis by using bias parameters to rescale data can offer significant improvements to inference and model diagnostics. Because their estimability in practice is dataset specific and will likely require more precise estimates than might be expected from ecological datasets, we outline some strategies for characterizing process uncertainty when it is confounded by bias parameters.
Extra‐pair paternity, breeding density, and synchrony in natural cavities versus nestboxes in two passerine birds
Authors: Di Lecce Irene , Perrier Charles , Szulkin Marta , Sudyka Joanna 
Published: June 2023

AbstractMost of what is known about extra‐pair paternity in hole‐nesting birds derives from studies using artificial nesting sites, such as nestboxes. However, it has rarely been investigated whether inference drawn from breeding events taking place in nestboxes matches what would be observed under natural conditions, that is, in natural cavities. We here report on a variation in promiscuity in blue tits and great tits nesting in natural cavities and nestboxes in an urban forest in Warsaw, Poland. Specifically, we tested whether local breeding density, local breeding synchrony, and extra‐pair paternity (inferred from SNP data generated with a high‐throughput genotyping by sequencing method) differed between birds nesting in natural cavities and nestboxes. In both blue tits and great tits, the frequency of extra‐pair paternity was similar between the two cavity types. In blue tits, we observed shorter nearest neighbor distance, higher neighbor density, and higher synchronous neighbor density (i.e., density of fertile females) in nestboxes relative to natural cavities. No such pattern was found in great tits. Moreover, we detected a positive relationship between the proportion of extra‐pair offspring in the nest and neighbor density around the nest in blue tits. Our results revealed that the provisioning of nestboxes did not change rates of extra‐pair paternity, suggesting that conclusions drawn from nestbox studies might adequately represent the natural variation in extra‐pair matings in some species or sites. However, the observed differences in spatiotemporal components of breeding dynamics highlight the fact that these parameters should be carefully considered when comparing mating behavior across studies and/or sites.