bluuebunny/crossref_metadata_2025_split huggingface dataset:
Black phosphorus unipolar transistor, memory, and photodetector
Authors: Kumar Arun , Viscardi Loredana , Faella Enver , Giubileo Filippo , Intonti Kimberly , Pelella Aniello , Sleziona Stephan , Kharsah Osamah , Schleberger Marika , Di Bartolomeo Antonio 
Published: January 2023

AbstractWe report the fabrication, electrical, and optical characterizations of few-layered black phosphorus (BP)-based field-effect transistor (FET). The fabricated device exhibits a p-type transport with hole mobility up to 175 cm2 V−1 s−1 at Vds = 1 mV. The transfer characteristics show a large hysteresis width that depends linearly on the gate voltage and decreases with the increasing drain bias. The fabricated device also ensures a non-volatile charge-trap memory behaviour, with a stable and long retention time. The material’s photodetection capabilities enhance the functionality of the device making it controllable by light. The photocurrent was observed to be linearly increasing with the light incident power and exposure time. As a photodetector, the transistor reaches a responsivity and detectivity up to 340 mA W−1 and 6.52 × 1011 Jones under white light at 80 $$\mathrm{mW}$$
mW
, respectively. Time-resolved measurements provide evidence of a long single exponential decay process through deep intra-gap states. Our results highlight the potential of a few layers BP as a nanomaterial for field-effect, memory, and optoelectronic devices.
Graphical Abstract
Words matter: how ecologists discuss managed and non-managed bees and birds
Authors: Argueta-Guzmán Magda , West Mari , Gaiarsa Marilia P. , Allen Christopher W. , Cecala Jacob M. , Gedlinske Lauren , McFrederick Quinn S. , Murillo Amy C. , Sankovitz Madison , Rankin Erin E. Wilson 
Published: January 2023

AbstractEffectively promoting the stability and quality of ecosystem services involves the successful management of domesticated species and the control of introduced species. In the pollinator literature, interest and concern regarding pollinator species and pollinator health dramatically increased in recent years. Concurrently, the use of loaded terms when discussing domesticated and non-native species may have increased. As a result, pollinator ecology has inherited both the confusion associated with invasion biology’s lack of a standardized terminology to describe native, managed, or introduced species as well as loaded terms with very strong positive or negative connotations. The recent explosion of research on native bees and alternative pollinators, coupled with the use of loaded language, has led to a perceived divide between native bee and managed bee researchers. In comparison, the bird literature discusses the study of managed (poultry) and non-managed (all other birds) species without an apparent conflict with regard to the use of terms with strong connotations or sentiment. Here, we analyze word usage when discussing non-managed and managed bee and bird species in 3614 ecological and evolutionary biology papers published between 1990 and 2019. Using time series analyses, we demonstrate how the use of specific descriptor terms (such as wild, introduced, and exotic) changed over time. We then conducted co-citation network analyses to determine whether papers that share references have similar terminology and sentiment. We predicted a negative language bias towards introduced species and positive language bias towards native species. We found an association between the terminvasiveand bumble bees and we observed significant increases in the usage of more ambiguous terms to describe non-managed species, such aswild. We detected a negative sentiment associated with the research area of pathogen spillover in bumble bees, which corroborates the subjectivity that language carries. We recommend using terms that acknowledge the role of human activities on pathogen spillover and biological invasions. Avoiding the usage of loaded terms when discussing managed and non-managed species will advance our understanding and promote effective and productive communication across scientists, general public, policy makers and other stake holders in our society.
Children’s perspective on fears connected to school transition and intended coping strategies
Authors: Stiehl Katharina A. M. , Krammer Ina , Schrank Beate , Pollak Isabella , Silani Giorgia , Woodcock Kate A. 
Published: January 2023

AbstractThe transition from primary to secondary school comes with major changes in the lives of children. There is a shortage of in-depth analyses of young people’s perspectives concerning their fears and strategies to address these. This qualitative study aims to gain first-hand understanding of children’s fears and the intended coping strategies used during school transition. Data from 52 workshops were analysed, with a total of 896 students (M age = 10.40,SD = .839) in lower Austria. First, in the classroom setting, a vignette story about a child facing fears about school transition from primary to secondary school was developed with pupils in a brainstorming session. This was followed by self-selected small group discussions, where pupils proposed strategies to help cope with these fears. A thematic analysis was carried out. Major thematic clusters distinguished between four types of fears: peer victimisation, being alone, victimisation by authority figures, and academic failure. Three additional thematic clusters described strategies for countering the fears: enacting supportive networks, personal emotion regulation, and controlling behaviour. In addition to these connected clusters, two further themes were identified: strategy outcomes and consequences, i.e., personal experiences with using specific strategies, and the discussion of participants about contradictions and questionable usefulness of identified strategy outcomes. In conclusion, the children in our study reported more social fears as compared to academic fears. Children seem reasonably competent at naming and identifying strategies; however, maladaptive strategies, as well as controversies within the described strategies may indicate a lack of certainty and competence at engaging with these strategies on a practical level.
Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models
Authors: Chen Yinghan , Culpepper Steven Andrew , Chen Yuguo 
Published: January 2023

The specification of the Q\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\varvec{Q}}$$\end{document} matrix in cognitive diagnosis models is important for correct classification of attribute profiles. Researchers have proposed many methods for estimation and validation of the data-driven Q\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\varvec{Q}}$$\end{document} matrices. However, inference of the number of attributes in the general restricted latent class model remains an open question. We propose a Bayesian framework for general restricted latent class models and use the spike-and-slab prior to avoid the computation issues caused by the varying dimensions of model parameters associated with the number of attributes, K. We develop an efficient Metropolis-within-Gibbs algorithm to estimate K and the corresponding Q\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\varvec{Q}}$$\end{document} matrix simultaneously. The proposed algorithm uses the stick-breaking construction to mimic an Indian buffet process and employs a novel Metropolis–Hastings transition step to encourage exploring the sample space associated with different values of K. We evaluate the performance of the proposed method through a simulation study under different model specifications and apply the method to a real data set related to a fluid intelligence matrix reasoning test.
Entry Mode Choice: A Meta-Analysis of Antecedents and Outcomes
Authors: Wan Chenxi , Sousa Carlos M. P. , Lengler Jorge , Tan Qun 
Published: January 2023

AbstractThe entry mode decision is a critical topic in international business. Several studies have tested the antecedents of entry mode choices and compared the outcomes after entry. However, the results reported in these studies are contradictory and difficult to explain. Furthermore, the reviews using qualitative approaches cannot statistically combine empirical results and fail to fully discuss these relationships. Additionally, the mediating effects remain unexamined in the existing studies. Drawing upon transaction cost economics and the resource-based view, this paper presents a meta-analysis that combines entry mode choices, antecedents and post-entry outcomes to address these issues. This meta-analysis is based on 1499 effect sizes from 230 published empirical studies. This study focuses on 15 antecedents as well as post-entry performance and survival of entry mode choices. In addition to bivariate relationships (i.e. how a single antecedent affects entry mode choices), the paper uses meta-analytic structural equation modelling to analyse the mediating effects of entry mode choices on the antecedent - outcome relationship.
Stability and Physical Properties of the L12-γ′ Phase in the CoNiAlTi-System
Authors: Pyczak F. , Liang Z. , Neumeier S. , Rao Z. 
Published: January 2023

Abstract
There is a current interest in Co-based superalloys hardened by a L12-γ′ phase because Co has a higher melting point than Ni and is more resistant against sulfidation attack. However, the Co-Al-W system many of those γ′ hardened Co-based superalloys are based on, has a number of drawbacks. The γ′ phase Co3(Al,W) is not stable at high temperature, the density of the alloys is very high and the oxidation resistance is insufficient. Due to this, there is an ongoing interest to develop γ′-hardened Co-based superalloys based on other systems. Here, first principles calculations are presented to investigate the properties of the γ′ L12-(Co0.5,Ni0.5)3(Al0.5,Ti0.5) phase and related L12 structures. (Co0.5,Ni0.5)3(Al0.5,Ti0.5) exhibits a lower energy of formation than Co3Ti and Co3(Al0.5,W0.5). Nevertheless, Ni3(Al0.5,Ti0.5) has an even lower energy of formation which is further lowered if Ti is enriched on the second sublattice. This finding is supported by analyzing the electronic densities of states. Ni3(Al0.5,Ti0.5) and especially Ni3(Al0.25,Ti0.75) exhibit Fermi levels close to the gap between binding and antibinding states, which is an indicator for stability. In addition to the stability of the γ′-phase in dependence on Ni and Ti content, also the elastic properties were calculated. Ni3(Al0.25,Ti0.75) is less elastic anisotropic and has higher Young’s and shear modulus compared to Ni3(Al0.5,Ti0.5) and (Co0.5,Ni0.5)3(Al0.5,Ti0.5).
Biology as involving laws and inconceivable without them
Authors: Creath Richard 
Published: January 2023

AbstractThere is an old attempt to divide the sciences into sciences of laws and the historical sciences. More recently, John Beatty has drawn the distinction so that biology is a historical science and urged that there are no genuinely biological laws. This paper shows that there are indeed biological laws, specifically statistical ones, notably in evolutionary theory. Moreover, all or almost all other areas of biology involve laws as well. Even history involves laws. Finally, the paper shows that this pervasiveness of laws is compatible with the most basic commitments of those who, like Beatty, would claim that biology is only historical.
Exactly Solvable Quadratic Differential Equation Systems Through Generalized Inversion
Authors: Bácsi Ádám , Kocsis Albert Tihamér 
Published: January 2023

AbstractWe study the autonomous systems of quadratic differential equations of the form $${\dot{x}}_i(t)={\textbf{x}}(t)^T {\textbf{A}}_i {\textbf{x}}(t) + {\textbf{v}}_i^T {\textbf{x}}(t)$$

x
˙

i

(
t
)

=
x

(
t
)

T

A
i

x

(
t
)

+

v
i
T

x

(
t
)

with $${\textbf{x}}(t) = (x_1(t),$$

x

(
t
)

=
(

x
1

(
t
)

,

$$x_2(t), \ldots ,x_i(t),\dots )$$

x
2

(
t
)

,
…
,

x
i

(
t
)

,
⋯
)

which, in general, cannot be solved exactly. In the present paper, we introduce a subclass of analytically solvable quadratic systems, whose solution is realized through a multi-dimensional generalization of the inversion which transforms a quadratic system into a linear one. We provide a constructive algorithm which, on one hand, decides whether the system of differential equations is analytically solvable with the inversion transformation and, on the other hand, provides the solution. The presented results apply for arbitrary, finite number of variables.
A methodology for emotional intelligence testing in elderly people with low-cost EEG and PPG devices
Authors: Sánchez-Cifo Miguel Ángel , Montero Francisco , Lopez Maria Teresa 
Published: January 2023

AbstractEmotional intelligence (EI) is a basic concept in psychology that is gaining social importance. According to Goleman, it refers to the ability to be aware of and to handle one’s emotions in varying situations. Current research indicates that EI can be improved through training, leading to an increased awareness of how we can contribute to the emotional management. In this paper, a low-cost ElectroEncephaloGraphy (EEG) and PhotoPlethysmoGraphy (PPG) based proposal is introduced in order to assess the level of emotional intelligence among elderly people during cognitive stimulation sessions. Twenty-five older people , who were baby boomers (people born from 1946 to 1964), were recruited during 2 months, while they participated in a cognitive stimulation program. During those months, these participants were trained in different techniques of emotional management and they learned how to use several low-cost EEG and PPG devices. They were subjected to several emotional stimulation sessions where stress and anxiety scenarios were considered. By using our proposal, different supervised learning algorithms were evaluated in order to allow emotion detection, having the Support Vector Machine (SVM) technique as the one that reached better scores. Later, our solution supports emotional intelligence test and promising outcomes were achieved.
The survival rate of laryngeal squamous cell carcinoma: impact of IL1RAP rs4624606, IL1RL1 rs1041973, IL-6 rs1800795, BLK rs13277113, and TIMP3 rs9621532 single nucleotide polymorphisms
Authors: Pasvenskaite Agne , Liutkeviciene Rasa , Gedvilaite Greta , Vilkeviciute Alvita , Liutkevicius Vykintas , Uloza Virgilijus 
Published: January 2023

Abstract
Purpose
Results of laryngeal squamous cell carcinoma (LSCC) treatment and the 5 year survival rate of these patients remain poor. To purify therapeutic targets, investigation of new specific and prognostic blood-based markers for LSCC development is essential.

Methods
In the present study, we evaluated five single nucleotide polymorphisms (SNPs): IL1RAP rs4624606, IL1RL1 rs1041973, IL-6 rs1800795, BLK rs13277113, and TIMP3 rs9621532, and determined their associations with the patients’ 5 year survival rate. Also, we performed a detailed statistical analysis of different LSCC patients’ characteristics impact on their survival rate.

Results
Three hundred fifty-three LSCC patients and 538 control subjects were included in this study. The multivariable Cox regression analysis revealed a significant association between patients’ survival rate and distribution of IL1RAP rs4624606 variants: patients carrying AT genotype at IL1RAP rs4624606 had a lower risk of death (p = 0.044). Also, it was revealed that tumor size (T) (p = 0.000), tumor differentiation grade (G) (p = 0.015), and IL1RAP rs4624606 genotype (p = 0.044) were effective variables in multivariable Cox regression analysis prognosing survival of LSCC patients. The specific-LSCC 5 year survival rate was 77%.

Conclusions
In summary, our findings indicate that the genotypic distribution of IL1RAP rs4624606 influences the 5 year survival rate of LSCC patients. The results of the present study facilitate a more complete understanding of LSCC at the biological level, thus providing the base for the identification of new specific and prognostic blood-based markers for LSCC development.
Risk factors, uncertainty, and investment decision: evidence from mutual fund flows from India
Authors: Nedumparambil Elizabeth , Bhandari Anup Kumar 
Published: January 2023

AbstractAsset pricing theories provide an understanding of the risk factors that determine the price of assets. The identification of risk factors assists investors in seeking out profitable investment opportunities. The difficulty in observing how investors identify such opportunities and how they react to it has largely restricted the literature from determining the factors that matter to an investor. There is a paucity of empirical studies that give insight into the investment decision-making process of an investor. Some of the recent studies that seek to fill this gap have used mutual fund flows to infer which asset pricing model investors use. The fund flows are used as a measure of investors’ response for the identification of a positive net present value investment opportunity. These studies suggest that the Capital Asset Pricing Model (CAPM) is closest to the asset pricing model used by investors in the US market. Taking this literature forward, we enquire whether investors from Indian markets exhibit a similar pattern when making investment decisions. Using the fund flows to actively managed equity schemes, we have investigated the risk factors that matter for mutual fund investors in India for the period from April 2006 to December 2019. We use alternative performance measure and then evaluate the sensitivity of fund flows to each of the performance measures. Our results suggest that investors assess the performance of competing investment opportunities based on naïve measures. Further, though uncertainty has a negative impact on fund flow, the flow–performance relation is not sensitive to the level of uncertainty.
Boosting the performance of quantum annealers using machine learning
Authors: Brence Jure , Mihailović Dragan , Kabanov Viktor V. , Todorovski Ljupčo , Džeroski Sašo , Vodeb Jaka 
Published: January 2023

AbstractNoisy intermediate-scale quantum (NISQ) devices are spearheading the second quantum revolution. Of these, quantum annealers are the only ones currently offering real world, commercial applications on as many as 5000 qubits. The size of problems that can be solved by quantum annealers is limited mainly by errors caused by environmental noise and intrinsic imperfections of the processor. We address the issue of intrinsic imperfections with a novel error correction approach, based on machine learning methods. Our approach adjusts the input Hamiltonian to maximize the probability of finding the solution. In our experiments, the proposed error correction method improved the performance of annealing by up to three orders of magnitude and enabled the solving of a previously intractable, maximally complex problem.
Phenomic Studies on Diseases: Potential and Challenges
Authors: Ying Weihai 
Published: January 2023

AbstractThe rapid development of such research field as multi-omics and artificial intelligence (AI) has made it possible to acquire and analyze the multi-dimensional big data of human phenomes. Increasing evidence has indicated that phenomics can provide a revolutionary strategy and approach for discovering new risk factors, diagnostic biomarkers and precision therapies of diseases, which holds profound advantages over conventional approaches for realizing precision medicine: first, the big data of patients' phenomes can provide remarkably richer information than that of the genomes; second, phenomic studies on diseases may expose the correlations among cross-scale and multi-dimensional phenomic parameters as well as the mechanisms underlying the correlations; and third, phenomics-based studies are big data-driven studies, which can significantly enhance the possibility and efficiency for generating novel discoveries. However, phenomic studies on human diseases are still in early developmental stage, which are facing multiple major challenges and tasks: first, there is significant deficiency in analytical and modeling approaches for analyzing the multi-dimensional data of human phenomes; second, it is crucial to establish universal standards for acquirement and management of phenomic data of patients; third, new methods and devices for acquirement of phenomic data of patients under clinical settings should be developed; fourth, it is of significance to establish the regulatory and ethical guidelines for phenomic studies on diseases; and fifth, it is important to develop effective international cooperation. It is expected that phenomic studies on diseases would profoundly and comprehensively enhance our capacity in prevention, diagnosis and treatment of diseases.
The Impact of China's AIIB on the World Bank
Authors: Qian Jing , Vreeland James Raymond , Zhao Jianzhi 
Published: January 2023

AbstractThe World Bank, under the stewardship of the United States, stands out as the global leader among international development organizations. Does China's establishment of the Asian Infrastructure Investment Bank (AIIB) undermine this status? Examining this question, we focus on the borrowing practices of a special set of countries: the founding members of the AIIB. These founders openly defied the public preference of the United States, arguably to create a potential rival to the World Bank. Using a new causal inference method, Pang, Liu, and Xu's Dynamic Multilevel Latent Factor Model—as well as several well-known estimation models as robustness checks—we document at least a temporary decrease in the number of World Bank infrastructure projects that the developing AIIB founders have entered into. This study presents the first systematic evidence that China's AIIB could unsettle the political influence the United States has enjoyed over developing countries through its leadership of the World Bank. An important set of countries may be parting ways with the World Bank and looking to a Chinese institution for leadership in the world of development.
Effectiveness of 1 and 2 per cent acetic acid solutions in the 2-week treatment of granular myringitis
Authors: Prakairungthong S , Werawatganon T , Chantarawiwat T , Warnpeurch L , Atipas S , Thongyai K , Suvarnsit K , Limviriyakul S 
Published: January 2023

AbstractObjectiveGranular myringitis is characterised by de-epithelialisation of the tympanic membrane. Patients present with intermittent otorrhoea, otalgia or itching. With improper or inadequate treatment, granular myringitis could cause ear canal fibrosis and stenosis. There are no standard topical ear drops for granular myringitis. Treatments have inconsistent success rates and variable timelines. This study aimed to compare the effectiveness of treating granular myringitis with 1 and 2 per cent acetic acid solutions for two weeks.MethodThis double-blind, randomised, controlled trial enrolled and randomly allocated 47 participants to 2 groups between October 2021 and June 2022.ResultsAfter two weeks, the groups’ treatment success rates did not differ significantly. There was a 10 per cent recurrence rate 8 weeks after treatment completion. All patients tolerated the diluted vinegar.ConclusionThere is no difference in the efficacy of 1 and 2 per cent diluted vinegar in treating granular myringitis for two weeks.