bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Representation of Soil Moisture-Atmosphere Feedbacks across the Tibetan Plateau in CMIP6
Authors: Talib Joshua , Müller Omar V. , Barton Emma J. , Taylor Christopher M. , Vidale Pier Luigi 
Published: August 2023

AbstractThermal processes on the Tibetan Plateau (TP) influence atmospheric conditions on regional and global scales. Given this, previous work has shown that soil moisture–driven surface flux variations feed back onto the atmosphere. Whilst soil moisture is a source of atmospheric predictability, no study has evaluated soil moisture–atmosphere coupling on the TP in general circulation models (GCMs). In this study, we use several analysis techniques to assess soil moisture-atmosphere coupling in CMIP6 simulations including: instantaneous coupling indices; analysis of flux and atmospheric behaviour during dry spells; and a quantification of the preference for convection over drier soils. Through these metrics we partition feedbacks into their atmospheric and terrestrial components.Consistent with previous global studies, we conclude substantial inter-model differences in the representation of soil moisture–atmosphere coupling, and that most models underestimate such feedbacks. Focusing on dry spell analysis, most models underestimate increased sensible heat during periods of rainfall deficiency. For example, the model-mean bias in anomalous sensible heat flux is 10 W m−2 (≈25%) smaller compared to observations. Deficient dry-spell sensible heat fluxes lead to a weaker atmospheric response. We also find that most GCMs fail to capture the negative feedback between soil moisture and deep convection. The poor simulation of feedbacks in CMIP6 experiments suggests that forecast models also struggle to exploit soil moisture–driven predictability. To improve the representation of land–atmosphere feedbacks requires developments in not only atmospheric modelling, but also surface processes, as we find weak relationships between rainfall biases and coupling indexes.
Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study
Authors: von Mücke-Heim Iven-Alex , Pape Julius C. , Grandi Norma C. , Erhardt Angelika , Deussing Jan M. , Binder Elisabeth B. 
Published: August 2023

AbstractElectroconvulsive therapy (ECT) is commonly used to treat treatment-resistant depression (TRD). However, our knowledge of the ECT-induced molecular mechanisms causing clinical improvement is limited. To address this issue, we developed the single-center, prospective observational DetECT study (“Multimodal Biomarkers of ECT in TRD”; registered 18/07/2022, www.clinicalTrials.gov, NCT05463562). Its objective is to identify molecular, psychological, socioeconomic, and clinical biomarkers of ECT response in TRD. We aim to recruit n = 134 patients in 3 years. Over the course of 12 biweekly ECT sessions (± 7 weeks), participant blood is collected before and 1 h after the first and seventh ECT and within 1 week after the twelfth session. In pilot subjects (first n = 10), additional blood draws are performed 3 and 6 h after the first ECT session to determine the optimal post-ECT blood draw interval. In blood samples, multiomic analyses are performed focusing on genotyping, epigenetics, RNA sequencing, neuron-derived exosomes, purines, and immunometabolics. To determine clinical response and side effects, participants are asked weekly to complete four standardized self-rating questionnaires on depressive and somatic symptoms. Additionally, clinician ratings are obtained three times (weeks 1, 4, and 7) within structured clinical interviews. Medical and sociodemographic data are extracted from patient records. The multimodal data collected are used to perform the conventional statistics as well as mixed linear modeling to identify clusters that link biobehavioural measures to ECT response. The DetECT study can provide important insight into the complex mechanisms of ECT in TRD and a step toward biologically informed and data-driven-based ECT biomarkers.
Ocular manifestations of renal ciliopathies
Authors: Salehi Omar , Mack Heather , Colville Deb , Lewis Debbie , Savige Judy 
Published: August 2023

AbstractRenal ciliopathies are a common cause of kidney failure in children and adults, and this study reviewed their ocular associations. Genes affected in renal ciliopathies were identified from the Genomics England Panels. Ocular associations were identified from Medline and OMIM, and the genes additionally examined for expression in the human retina (https://www.proteinatlas.org/humanproteome/tissue) and for an ocular phenotype in mouse models (http://www.informatics.jax.org/). Eighty-two of the 86 pediatric-onset renal ciliopathies (95%) have an ocular phenotype, including inherited retinal degeneration, oculomotor disorders, and coloboma. Diseases associated with pathogenic variants in ANK6, MAPKBP1, NEK8, and TCTN1 have no reported ocular manifestations, as well as low retinal expression and no ocular features in mouse models. Ocular abnormalities are not associated with the most common adult-onset "cystic" kidney diseases, namely, autosomal dominant (AD) polycystic kidney disease and the AD tubulointerstitial kidney diseases (ADTKD). However, other kidney syndromes with cysts have ocular features including papillorenal syndrome (optic disc dysplasia), Hereditary Angiopathy Nephropathy, Aneurysms and muscle Cramps (HANAC) (tortuous retinal vessels), tuberous sclerosis (retinal hamartomas), von Hippel-Lindau syndrome (retinal hemangiomas), and Alport syndrome (lenticonus, fleck retinopathy). Ocular abnormalities are associated with many pediatric-onset renal ciliopathies but are uncommon in adult-onset cystic kidney disease. However the demonstration of ocular manifestations may be helpful diagnostically and the features may require monitoring or treatment.
Current treatment status of IgA nephropathy in Japan: a questionnaire survey
Authors: Matsuzaki K. , Suzuki H. , Kikuchi M. , Koike K. , Komatsu H. , Takahashi K. , Narita I. , Okada H. ,   Committee of Clinical Practical Guideline for IgA Nephropathy 2020
Published: August 2023

Abstract
Background
In 2020, the Committee of Clinical Practical Guideline for IgA Nephropathy (IgAN) revised the clinical practice guidelines. Herein, we conducted a questionnaire survey to assess the potential discrepancies between clinical practice guidelines and real-world practice in Japan.

Methods
A web-based survey of members of the Japanese Society of Nephrology was conducted between November 15 and December 28, 2021.

Results
A total of 217 members (internal physicians: 203, pediatricians: 14) responded to the questionnaire. Of these respondents, 94.0% answered that the clinical practice guidelines were referred to “always” or “often.” Approximately 66.4% respondents answered that histological grade (H-Grade) derived from the “Clinical Guidelines for IgA nephropathy in Japan, 3rd version” and the “Oxford classification” were used for pathological classification. Moreover, 73.7% respondents answered that the risk grade (R-grade) derived from the “Clinical Guidelines for IgA nephropathy in Japan, 3rd version” was referred to for risk stratification. The prescription rate of renin–angiotensin system blockers increased based on urinary protein levels (> 1.0 g/day: 88.6%, 0.5–1.0 g/day: 71.0%, < 0.5 g/day: 25.0%). Similarly, the prescription rate of corticosteroids increased according to proteinuria levels (> 1.0 g/day: 77.8%, 0.5–1.0 g/day: 52.8%, < 0.5 g/day: 11.9%). The respondents emphasized on hematuria when using corticosteroids. In cases of hematuria, the indication rate for corticosteroids was higher than in those without hematuria, even if the urinary protein level was 1 g/gCr or less. Few severe infectious diseases or serious deterioration in glycemic control were reported during corticosteroid use.

Conclusion
Our questionnaire survey revealed real-world aspects of IgAN treatment in Japan.
Improved versions of crow search algorithm for solving global numerical optimization problems
Authors: Sheta Alaa , Braik Malik , Al-Hiary Heba , Mirjalili Seyedali 
Published: August 2023

AbstractOver recent decades, research in Artificial Intelligence (AI) has developed a broad range of approaches and methods that can be utilized or adapted to address complex optimization problems. As real-world problems get increasingly complicated, this requires an effective optimization method. Various meta-heuristic algorithms have been developed and applied in the optimization domain. This paper used and ameliorated a promising meta-heuristic approach named Crow Search Algorithm (CSA) to address numerical optimization problems. Although CSA can efficiently optimize many problems, it needs more searchability and early convergence. Its positioning updating process was improved by supporting two adaptive parameters: flight length (fl) and awareness probability (AP) to tackle these curbs. This is to manage the exploration and exploitation conducts of CSA in the search space. This process takes advantage of the randomization of crows in CSA and the adoption of well-known growth functions. These functions were recognized as exponential, power, and S-shaped functions to develop three different improved versions of CSA, referred to as Exponential CSA (ECSA), Power CSA (PCSA), and S-shaped CSA (SCSA). In each of these variants, two different functions were used to amend the values offlandAP. A new dominant parameter was added to the positioning updating process of these algorithms to enhance exploration and exploitation behaviors further. The reliability of the proposed algorithms was evaluated on 67 benchmark functions, and their performance was quantified using relevant assessment criteria. The functionality of these algorithms was illustrated by tackling four engineering design problems. A comparative study was made to explore the efficacy of the proposed algorithms over the standard one and other methods. Overall results showed that ECSA, PCSA, and SCSA have convincing merits with superior performance compared to the others.
Truthful meta-explanations for local interpretability of machine learning models
Authors: Mollas Ioannis , Bassiliades Nick , Tsoumakas Grigorios 
Published: August 2023

AbstractAutomated Machine Learning-based systems’ integration into a wide range of tasks has expanded as a result of their performance and speed. Although there are numerous advantages to employing ML-based systems, if they are not interpretable, they should not be used in critical or high-risk applications. To address this issue, researchers and businesses have been focusing on finding ways to improve the explainability of complex ML systems, and several such methods have been developed. Indeed, there are so many developed techniques that it is difficult for practitioners to choose the best among them for their applications, even when using evaluation metrics. As a result, the demand for a selection tool, a meta-explanation technique based on a high-quality evaluation metric, is apparent. In this paper, we present a local meta-explanation technique which builds on top of the truthfulness metric, which is a faithfulness-based metric. We demonstrate the effectiveness of both the technique and the metric by concretely defining all the concepts and through experimentation.
Black Pastors’ Experiences of Occupational and Life Stress During COVID-19 in the USA
Authors: Rogers Robert C. , Tinsley Taunya M. 
Published: August 2023

AbstractThis study sought to identify the occupational stressors Black pastors experience, who serve in Black Church denominations and Black nondenominational churches. A total of 218 pastors completed the survey out of 2786 for a response rate of 10.1%. Black pastors identified their most challenging stressors as member dynamics, financial stress, leading a church to fulfill its mission, and pastor's workload. Black women pastors faced the additional stressor of having their pastoral leadership challenged by male congregants. Black pastors faced more stressors during the COVID-19 pandemic including church closures, transitioning to virtual services, unexpected deaths, and an increased workload with 72.5% of pastors reporting moderate to extreme stress levels. Approximately 77% of pastors acknowledged experiencing from moderate to extreme stress levels during social protests for the deaths of Black people by law enforcement. Black pastors further acknowledged experiencing an additional three to six life stressors outside of their pastoral roles.
Ammonium perchlorate catalyzed with novel porous Mn-doped Co3O4 microspheres: superior catalytic activity, advanced decomposition kinetics and mechanisms
Authors: Ismael Shukri , Deif A. , Maraden Ahmed , Yehia M. , Elbasuney Sherif 
Published: August 2023

AbstractMn-doped Co3O4 nanoparticles of 15 nm were developed via solvothermal synthesis. Mn@Co3O4 microspheres were developed via controlled annealing treatment at 600 °C. Mn@Co3O4 microspheres demonstrated an average diameter of 5.5 µm, with specific area (BET) of 73.7 m2 g−1. The pore diameter was centered at 13.1 nm, and the mean pore size was 16 nm; porous structure could secure extensive interfacial surface area. Mn@Co3O4 microspheres were integrated into ammonium perchlorate (AP) matrix. The catalytic activity of Mn@Co3O4 on AP decomposition was assessed via DSC and TGA/DTG. Whereas Mn@Co3O4/AP nanocomposite demonstrated decomposition enthalpy of 1560 J g−1, pure AP demonstrated 836 J g−1. While Mn@Co3O4/AP nanocomposite demonstrated one decomposition temperature at 310 °C,pure AP exposed two decomposition stages at 298 °C, and 453 °C. Decomposition kinetics was investigated via isoconversional (model free) and model fitting. Kissinger, Kissinger–Akahira–Sunose (KAS), integral isoconversional method of Ozawa, Flyn and Wall (FWO), and differential isoconversional method of Friedman. Mn@Co3O4/AP demonstrated apparent activation energy of 149.7 ± 2.54 kJ mol−1 compared with 173.16 ± 1.95 kJ mol−1 for pure AP. While AP demonstrated sophisticated decomposition models starting with F3 followed by A2, Mn@Co3O4/AP nanocomposite demonstrated A3 decomposition model. Mn@Co3O4 can expose active surface sites; surface oxygen could act as electron donor to electron deficient perchlorate group. Furthermore, Mn@Co3O4/AP could act as adsorbent of released NH3 gas with efficient combustion. This study shaded the light on Mn@Co3O4 as potential catalyst for AP decomposition.
It’s a problem, but not mine: Exploring bias-related message acceptance among teachers
Authors: Doyle Lewis , Easterbrook Matthew J. , Harris Peter R. 
Published: August 2023

AbstractTeachers’ judgements and interactions may be influenced by the backgrounds of their students, yet research shows that they may be reluctant to accept evidence relating to such biases. We investigated teachers’ perceptions of their own and others’ biases and explored whether a brief self-affirmation manipulation—which tends to reduce defensive responding— could increase their acknowledgement of personal and institutional bias. UK-based teachers (N = 288) completed either a values affirmation or control task before reading a mildly threatening research-based article about unconscious bias in education. Overall, teachers exhibited a bias blind spot, whereby they were more likely to perceive unconscious bias as an issue for other teachers to contend with rather than as a concern for themselves. Self-affirmed teachers were more likely to agree to have their teaching filmed to explore if/where personal biases may exist. Nevertheless, the self-affirmation did not alter levels of overall acceptance of the issue or perceptions of personal relevance. Exploratory analyses suggested that greater support for equity-enhancing teaching practices among teachers was associated with increased acknowledgement of bias and support for anti-bias initiatives. The findings suggest that self-affirmation may offer limited scope for improving acknowledgement of biases and that more work needs to be done to challenge and change the narrative of prejudice in schooling, from one that concerns only a few ‘bad apples’ to one that is accepted as an issue for all educators to be aware of and responsible for.
The misappropriation of “woke”: discriminatory social media practices, contributory injustice and context collapse
Authors: Allen Nicholas D. C. 
Published: August 2023

AbstractThis article aims to give an analysis of the phenomena of unjust misappropriation of marginalised groups’ terms online, using the example misappropriation of ‘woke’ from the Black community on Twitter. I argue that using terms such as these outside their original context warps their meaning, decreasing the intelligibility of the experiences of the marginalised agents who use them when attempting to express themselves both within their community and without. I intend to give an analysis of this phenomena, with the expectation that understanding it better will provide a crucial step in combatting it. To this end, I argue it can be understood as a specialised form of what Kristie Dotson calls ‘contributory injustice’, injustices which involve the suppression of a marginalised community’s existing hermeneutical resources, combined with a specific consequence of what Boyd and Marwick call ‘context collapse’, the removal of social norms created through the homogenising effect of social media sites like Twitter. The result is a novel misappropriation phenomenon, I label ‘Context-Collapsed Contributory Injustice’ or ‘CC.CI’. This type of misappropriation is particularly harmful due to it being faster-acting than historical varieties of misappropriation. Furthermore, unchecked continual cases of CC.CI can cause a novel from of what Miranda Fricker calls ‘hermeneutical injustice’, which is demarcated from standard cases by its ability to reintroduce conceptual lacunas through undermining existing hermeneutical resources. I finish by disambiguating cases of CC.CI from natural meaning change and critically analysing some existing philosophical treatments of “woke”.
Psychological motivations for collectivist behavior: comparison between Japan and the U.S
Authors: Hirota Shinichi , Nakashima Kiyotaka , Tsutsui Yoshiro 
Published: August 2023

AbstractThis paper explores the psychological motivations behind collectivist behavior in Japan and the U.S. Using data from a large-scale questionnaire survey, we examine the causes of collectivist behavior (i.e., group conformity) at workplaces and at home. Our key findings are as follows: (i) in Japan, people conform to their groups, both at work and at home, because they consider that cooperation with others will result in greater achievement; (ii) in both Japan and the U.S., people conform to their groups, both at work and at home, because behaving similarly to others makes them feel comfortable; and (iii) in both Japan and the U.S., people conform to their family’s opinion at home because they value cooperation with family members. Our findings suggest that institutional differences between Japan and the U.S. give rise to the differences in psychological motivations for collectivist behavior.
Part-time Parental Leave and Life Satisfaction: Evidence from the Netherlands
Authors: Dillenseger Laëtitia , Burger Martijn J. , Munier Francis 
Published: August 2023

AbstractThere is extensive literature on the relationship between having children and life satisfaction. Although parenthood can provide meaningfulness in life, parenting may increase obligations and decrease leisure time, reducing life satisfaction. In the Netherlands, parental leave is a part-time work arrangement that allows parents with young children to reconcile better work and family commitments. Using panel data from the Dutch Longitudinal Internet Studies for the Social Sciences (LISS), we estimated with fixed-effects models the impact of the part-time parental leave scheme in the Netherlands on the life satisfaction of parents with young children. We find that the legal framework of Dutch parental leave offering job-protected leave and fiscal benefits are conducive to parents’ life satisfaction. Our findings hold using different model specifications. Additionally, we did not find evidence for existing reverse causality and that shorter and more elaborate parental leave schemes are more beneficial for life satisfaction.
Advancing Bulk Metallic Glass Formation: Utilizing Rare-Earth Elements in Zr-Based Alloys
Authors: Pajor Krzysztof , Gondek Łukasz , Tyrała Dorota , Błyskun Piotr , Cieniek Łukasz , Kozieł Tomasz 
Published: August 2023

AbstractZr-based bulk metallic glasses (BMGs) are characterized by excellent glass-forming ability, combined with superior mechanical properties. However, oxygen impurities degrade both these aspects as oxides serve as heterogeneous nucleation sites during solidification. Rare-earth elements (REEs) are known to be good oxygen scavengers, binding oxygen to less harmful forms. The most stable rare-earth oxide (REO) is M2O3, which occurs in three polymorphic forms, depending on the radius of metal cation: cubic, hexagonal, and monoclinic. Here, we show the effect of Sc, Y, Lu, Nd, and Gd additions in relation to the oxygen content on the glass-forming ability of the Zr52.5Cu17.9Ni14.6Al10Ti5 alloy. Microscopic observations (SEM) supported by chemical analysis (EDS, WDS), structure identification (XRD), and thermal analysis (DTA) were carried out. The critical diameter for glass formation (Dc) in the high oxygen alloy doped with cubic oxide-forming elements (Sc, Y, and Lu) can be even higher (Dc = 9 mm) compared to the undoped alloy synthesized from low oxygen components. Therefore, we have demonstrated that it is feasible to produce BMG using low-purity constituents with REE-based oxygen scavengers. This bridges the gap between laboratory development and cost-effective commercial applications.
Graphical Abstract
DLTS Study of Defects in HgCdTe Heterostructure Photodiode
Authors: Majkowycz K. , Murawski K. , Manyk T. , Rutkowski J. , Kopytko M. , Martyniuk P. 
Published: August 2023

AbstractDeep-level transient spectroscopy (DLTS) measurements were performed on HgCdTe heterostructure photodiode grown by metal-organic chemical vapor deposition (MOCVD) on GaAs substrate. In order to extract defects from individual layers of the heterostructure, three consecutive etchings were performed. In the first experiment, the N+/T/p/T/P+/n+ structure was chemically etched to the N+ bottom contact to obtain a mesa-type detector. Six localized defects were extracted across the entire photodiode. In the second experiment, the bottom contact was made to the p-type absorber. Two localized defects were found in the p/T/P+/n+ structure. In the third experiment, the top layers were removed and N+/T/p type detector was made—the cap contact was made to the p-type absorber, the bottom to the N+ layer. Five defect levels were identified, three of which overlap with the first experiment. A deep-trap level located at 183 meV above the top of the valence band was identified within the absorber bandgap. This energy coincides with the activation energy determined from the Arrhenius plot for the dark currents. A defect at the level of ∼0.5Eg suggests that the dark current at low reverse bias voltage is dominated by the Shockley–Read–Hall (SRH) mechanism.