bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solvent-assisted salt-free reactive dyeing of cotton fabric
Authors: Periyasamy Aravin Prince , Dutta Shubhajit , Tehrani-Bagha Ali R. 
Published: July 2024

AbstractThe objective of this study was to establish a solvent-assisted salt-free dyeing method for cotton fabric utilizing commercially available reactive dyes. In this study, the feasibility of substituting water as the dyeing medium with environmentally friendly solvents, specifically ethanol (EtOH), isopropyl alcohol (IPA), and propanol (PrOH), was investigated. Eight commercial reactive dyes, each possessing distinct chemical structures, were examined with various dyeing characteristics including exhaustion, fixation, and fastness properties, in the presence of various alcohols. However, solvent-assisted dyeing exhibited comparable or enhanced color strength (K/S) values, exhaustion, and fixation rates compared to conventional aqueous dyeing. For instance, the RR35 dye demonstrated a substantial increase in K/S values with PrOH, EtOH, and IPA, ranging from 115 to 369% improvement. The substitution of alcohol for water did not affect the wash, rub, and light-color fastness properties, as these properties remained consistently excellent. Solvent-assisted salt-free dyeing of cotton fabrics offers a promising solution to address the environmental impacts of traditional water-based dyeing methods by eliminating the requirement for water and salt. Overall, this study presents a solvent-assisted salt-free dyeing technique and contributes to the field by offering detailed insights into its mechanisms and performance. Our research has the potential to reduce water consumption, eliminate salt usage, and mitigate environmental pollution.
Certified Peer Support in the Field of Homelessness: Stories Behind the Work
Authors: de Zeeuw Wright Margriet , Morgan Candice 
Published: July 2024

AbstractCertified peer support specialists (CPSS) are used as a paraprofessional workforce to engage hard-to-reach populations, including people experiencing homelessness. Thematic analysis was used to explore with CPSS (N = 7) what contributed to their effectiveness when working with this population. Participants were recruited at a HUD lead organization in the southeastern United States. Open-ended semi-structured questions were used in online, synchronous interviews. Themes related to three areas, experience, competence, and the organization, contributed to participants being effective. Specifically, interviewees observed that their lived experiences and abilities to speak a common language with clients contributed to their effectiveness. They identified how personal qualities and unique skillsets suited them for the work. Participants also valued the training they received; certification helped them to develop competencies and to balance vulnerability, empathy, and connection. Finally, participants attributed their effectiveness to clarity about their roles within the organization, supervision, attention to self-care, and co-worker support. Findings from this study may have implications for the value of lived and learned knowledge coexisting in organizations serving those who experience homelessness.
Mesorhizobia strain and chickpea variety drive phenotypic plasticity of plant growth and nodulation
Authors: Iqbal Nasir , Zhou Yi , Denton Matthew D. , Sadras Victor O. 
Published: July 2024

AbstractChickpea (Cicer arietinum) establishes symbiotic relationships with several Mesorhizobium species and the three-way interaction between chickpea variety, Mesorhizobium strain, and environment, drives plant growth and nitrogen fixation. Here we quantified the phenotypic plasticity for shoot dry weight, nodule dry weight, nodules per plant, nodule colour, symbiotic effectiveness, and nitrogen cost in a factorial experiment combining five chickpea varieties, seven Mesorhizobium strains and three photothermal regimes. Plant growth and nitrogen fixation traits varied with variety, Mesorhizobium strain, photothermal environment and their interaction. Phenotypic plasticity was larger for nodules per plant (7.3-fold) than for shoot dry weight (2.7-fold), verifying a hierarchy of plasticities between these traits. Strain-driven plasticity of plant growth and nitrogen fixation traits was larger than variety-driven plasticity for our combination of varieties, strains, and photothermal environments, with strain-driven phenotypic plasticity being 2.7-fold vs 1.4-fold for shoot dry matter, 2.5-fold vs 1.7-fold for nodule dry weight, 7.3-fold vs 2.1-fold for nodules per plant, 3.7-fold vs 1.7-fold for nodule color, 2.9-fold vs 1.6-fold for symbiotic effectiveness, and 2.3-fold vs 1.6-fold for nitrogen cost. Our study provides insights on the phenotypic plasticity of the legume-rhizobia interaction by considering the plants as part of the rhizobia environment and vice-versa.
Validation of the Scientific Reasoning Competencies Instrument: Relationships with Epistemological Beliefs and Analytical Thinking
Authors: Küçükaydın Menşure Alkış , Ayaz Elçin 
Published: July 2024

Abstract
Scientific reasoning competencies (SRC) are an area of competence emphasized in science education and are considered essential in the world of 21st Century skills. Developing these competencies is important for all levels of education, from primary school to university. However, to accurately measure them, measurement tools with validity and reliable evidence are needed. The current study was conducted with two different sample groups. In Study-1 (n = 155), the SRC test consisting of 21 items was adapted into Turkish, and evidence of its validity and reliability was presented. To this end, the Turkish adaptation of the SRC test, which was previously developed and tested for validity in different languages, was conducted in a sample of primary school teacher candidates. In Study-2 (n = 483), the relationship between SRC and epistemological beliefs and analytic thinking skills was examined. Regression analysis showed that epistemological beliefs and analytic thinking were significant predictors of SRC. The study and discussion offer implications for future research on the relationship between SRC and other thinking skills not examined in this research.
Learning from Bitter Memories: Frequency and Resolution of Interparental Financial Conflicts, Financial Beliefs and Behaviors, and Well-Being among Hong Kong Young Adults
Authors: Li Xiaomin , Khan Muhammad Aamir , LeBaron-Black Ashley B. , Curran Melissa A. 
Published: July 2024

AbstractDrawing from family systems theory and family financial socialization theory, we examined associations among interparental financial conflicts (IPFC), financial beliefs and behaviors, and well-being for 312 Hong Kong young adults (aged 18–30 years old). The sample was relatively diverse in age, income level, and education level; the data were collected in March and April of 2022. IPFC consisted of frequency and three types of resolution strategies: negotiation, hostility, and triangulation. Financial beliefs and behaviors consisted of money vigilance and healthy money management. Well-being consisted of financial well-being and life satisfaction. Conducting structural equation modeling and calculating indirect effects, we identified two key findings. First, IPFC strategies (but not IPFC frequency) spill over into offspring’s financial beliefs and well-being. Second, young adults’ financial beliefs mediated associations between IPFC strategies and young adults’ well-being. Collectively, our study extended family systems theory and family financial socialization theory in demonstrating that (a) family interactions and relationships—including IPFC— are a vital component of the financial socialization process, and (b) these processes are associated with young adults’ financial beliefs, and in turn, well-being.
Evaluating Artificial Intelligence on the Efficacy of Preference Assessments for Preservice Speech-Language Pathologists
Authors: Griffen Brenna , Lorah Elizabeth R. , Holyfield Christine , Caldwell Nicolette , Nosek John 
Published: July 2024

AbstractIndividuals with intellectual and developmental disabilities (IDD) face many barriers to meaningful inclusion, including limited language and communication skills. Professionals, such as speech-language pathologists (SLPs), can provide personalized instruction to promote skill development and inclusion. Providing opportunities for individuals to express preferences and choice, such as the multiple stimulus without replacement preference assessment (MSWO; DeLeon & Iwata 1996), within these programs, further increases skill acquisition and social interaction. However, limitations in professionals’ knowledge and skills in performing assessments can be another barrier to meaningful inclusion for individuals with IDD and traditional training methods can be challenging and time consuming. The purpose of the current study was to compare the use of artificial intelligence with traditional pen and paper self-instructional MSWO training methods for five preservice SLPs. Fidelity of implementation and duration of assessment were measured. Results demonstrated a large increase in implementation fidelity for two participants, a moderate increase for two participants and a slight increase for the remaining participant while using artificial intelligence. All participants demonstrated a decrease in scoring errors using artificial intelligence. Regarding duration of implementation, artificial intelligence resulted in a significant reduction for four participants and a moderate reduction for the remaining participant. Results of the follow-up survey suggest that all adult participants and both child participants found that artificial intelligence had a higher treatment acceptability and was more effective at producing socially significant outcomes than traditional methods. Recommendations for clinicians and future research are discussed.
The shape of the wealth distribution and differences in wealth inequality across Euro area countries
Authors: Biewen Martin , Glaisner Stefan , Kleimann Rolf 
Published: July 2024

AbstractBased on data from the Eurosystem Household Finance and Consumption Survey (HFCS), we revisit the question of how differences in household characteristics can account for cross-country differences in wealth inequality. We first show that commonly used RIF-decompositions are typically tested positive for specification error due to the large differences in household characteristics between countries. We then present an alternative analysis for which we introduce a convenient graphical representation of the wealth distribution. Our results show that not only differences in wealth inequality but also differences in distributional shape can be largely accounted for by differences in homeownership across countries, but that, for some country comparisons, differences in household incomes also matter.
Sequent Calculi for First-order $$\textrm{ST}$$
Authors: Paoli Francesco , Přenosil Adam 
Published: July 2024

AbstractStrict-Tolerant Logic ($$\textrm{ST}$$
ST
) underpins naïve theories of truth and vagueness (respectively including a fully disquotational truth predicate and an unrestricted tolerance principle) without jettisoning any classically valid laws. The classical sequent calculus without Cut is sometimes advocated as an appropriate proof-theoretic presentation of $$\textrm{ST}$$
ST
. Unfortunately, there is only a partial correspondence between its derivability relation and the relation of local metainferential $$\textrm{ST}$$
ST
-validity – these relations coincide only upon the addition of elimination rules and only within the propositional fragment of the calculus, due to the non-invertibility of the quantifier rules. In this paper, we present two calculi for first-order $$\textrm{ST}$$
ST
with an eye to recapturing this correspondence in full. The first calculus is close in spirit to the Epsilon calculus. The other calculus includes rules for the discharge of sequent-assumptions; moreover, it is normalisable and admits interpolation.
Explicit constructions of Diophantine tuples over finite fields
Authors: Kim Seoyoung , Yip Chi Hoi , Yoo Semin 
Published: July 2024

AbstractA Diophantine m-tuple over a finite field $${\mathbb F}_q$$

F
q

is a set $$\{a_1,\ldots , a_m\}$$

{

a
1

,
…
,

a
m

}

of m distinct elements in $$\mathbb {F}_{q}^{*}$$

F

q

∗

such that $$a_{i}a_{j}+1$$

a
i

a
j

+
1

is a square in $${\mathbb F}_q$$

F
q

whenever $$i\ne j$$

i
≠
j

. In this paper, we study M(q), the maximum size of a Diophantine tuple over $${\mathbb F}_q$$

F
q

, assuming the characteristic of $${\mathbb F}_q$$

F
q

is fixed and $$q \rightarrow \infty $$

q
→
∞

. By explicit constructions, we improve the lower bound on M(q). In particular, this improves a recent result of Dujella and Kazalicki by a multiplicative factor.
How do underwriting and investment activities affect P&C insurers’ capital adjustments? Evidence from Canada
Authors: Guidara Alaa , Lai Van Son , Yu Min-Teh , Zhao Yang 
Published: July 2024

Abstract
Using a sample of 83 Canadian property-casualty insurance companies from 1996 to 2010, we examine the impact of underwriting and investment choices on the insurers’ capital level and adjustment speed. An aggressive investment policy (risky equity investments) and a heavy reliance on reinsurance underwriting activities have the opposite effect on insurers’ capital level, though both lead to a slower capital adjustment speed. Meanwhile, insurers reshuffling their underwriting and investments significantly change their capital. With an integrated framework that considers underwriting cycles and regulatory pressure, insurers are slower in their capital adjustments in hard markets of the underwriting cycle, and higher regulatory pressure for an insurer moderates the positive relationship between capital level and adjustment speed.
Hybrid Beamforming for mm-Wave Massive MIMO Systems with Partially Connected RF Architecture
Authors: Majidzadeh Mohammad , Kaleva Jarkko , Tervo Nuutti , Pennanen Harri , Tölli Antti , Latva-aho Matti 
Published: July 2024

AbstractTo satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive multiple input-multiple output (MIMO) technology with highly directive beamforming. Hybrid analog-digital beamforming has been recognised as a promising approach for large-scale MIMO implementations with a reduced number of costly and power-hungry radio frequency (RF) chains. In comparison to fully connected architecture, hybrid beamforming (HBF) with partially connected RF architecture is particularly appealing for the practical implementation due to less complex RF power division and combining networks. In this paper, we first formulate single- and multi-user rate maximization problems as weighted minimum mean square error (WMMSE) and derive solutions for hybrid beamformers using alternating optimization. The algorithms are designed for the full-array- and sub-array-based processing strategies of partially connected HBF architecture. In addition, we propose lower complexity sub-array-based zero-forcing algorithms. The performance of the proposed algorithms is evaluated in two different channel models, a simple geometric model and a realistic statistical model. The performance results of the WMMSE HBF algorithms are meant to reveal the potential of partially connected HBF and serve as upper bounds for lower complexity methods. Numerical results imply that properly designed partially connected HBF has the potential to provide an good compromise between hardware complexity and system performance in comparison to fully digital beamforming.
Communities of practice and the elevation of urban elementary teacher discourse about critical pedagogy of place
Authors: Richmond Gail , Hunter Roberta , Tal Tali , Tukurah Grace 
Published: July 2024

AbstractChildren who live in under-resourced communities and attend under-resourced schools deserve access to high-quality teachers and educational opportunities to support their success and well-being. This study emerged from a professional development (PD) for urban teachers working in such schools, to expand educational opportunities for elementary students through outdoor science teaching. Engaging frameworks of communities of practice (CoP) and critical pedagogy of place (CPP), this critical ethnographic study investigates how urban elementary teachers engage in discourse about critical issues of place. Additionally, the investigation seeks to understand how a CoP supports such discourse. The primary data for this study were multiple sets of researcher field notes collected from participant teachers during virtual spring and in-person summer PD. Over the course of the PD, participants shifted from viewing their outdoor teaching spaces with a deficit perspective to an asset-focused one. As they visited one another’s teaching sites, the CoP the teachers were a part of created opportunity for discourse about social justice linked to issues of place within their particular school neighborhoods. The ability of urban elementary teachers to connect social justice to issues of place and to the teaching of science has implications for countering the injustice that characterizes many urban communities in the USA and elsewhere.
Diagnostic performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” cases
Authors: Sonoda Yuki , Kurokawa Ryo , Nakamura Yuta , Kanzawa Jun , Kurokawa Mariko , Ohizumi Yuji , Gonoi Wataru , Abe Osamu 
Published: July 2024

Abstract
Purpose
Large language models (LLMs) are rapidly advancing and demonstrating high performance in understanding textual information, suggesting potential applications in interpreting patient histories and documented imaging findings. As LLMs continue to improve, their diagnostic abilities are expected to be enhanced further. However, there is a lack of comprehensive comparisons between LLMs from different manufacturers. In this study, we aimed to test the diagnostic performance of the three latest major LLMs (GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro) using Radiology Diagnosis Please Cases, a monthly diagnostic quiz series for radiology experts.

Materials and methods
Clinical history and imaging findings, provided textually by the case submitters, were extracted from 324 quiz questions originating from Radiology Diagnosis Please cases published between 1998 and 2023. The top three differential diagnoses were generated by GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro, using their respective application programming interfaces. A comparative analysis of diagnostic performance among these three LLMs was conducted using Cochrane’s Q and post hoc McNemar’s tests.

Results
The respective diagnostic accuracies of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro for primary diagnosis were 41.0%, 54.0%, and 33.9%, which further improved to 49.4%, 62.0%, and 41.0%, when considering the accuracy of any of the top three differential diagnoses. Significant differences in the diagnostic performance were observed among all pairs of models.

Conclusion
Claude 3 Opus outperformed GPT-4o and Gemini 1.5 Pro in solving radiology quiz cases. These models appear capable of assisting radiologists when supplied with accurate evaluations and worded descriptions of imaging findings.
Führungskräfte-Coaching im Rahmen digitaler Transformationsprozesse
Authors: Lauer Thomas 
Published: July 2024

ZusammenfassungDigitalisierung ist ein Megatrend, dessen Geschwindigkeit – auch von Unternehmen – oft unterschätzt wird. In vielen Fällen kommen Unternehmen aber nicht um die Adoption digitaler Technologien herum, wollen sie am Markt erfolgreich bestehen. Die Einführung von digitalen Technologien stößt dabei intern aber nicht selten auf Widerstände seitens der Mitarbeitenden, bisweilen auch des mittleren Managements. Der Artikel arbeitet heraus, worin diese Widerstände begründet sind und wie personenzentriertes Coaching Führungskräfte dabei unterstützen kann, sich besser auf Digitalisierung einzustellen und die Widerstände bei der eigenen Belegschaft konstruktiv zu überwinden.
A Review of the Hydrodynamic Damping Characteristics of Blade-like Structures: Focus on the Quantitative Identification Methods and Key Influencing Parameters
Authors: Zeng Yongshun , Qian Zhaohui , Zhang Jiayun , Yao Zhifeng 
Published: July 2024

Abstract
Ocean energy has progressively gained considerable interest due to its sufficient potential to meet the world’s energy demand, and the blade is the core component in electricity generation from the ocean current. However, the widened hydraulic excitation frequency may satisfy the blade resonance due to the time variation in the velocity and angle of attack of the ocean current, even resulting in blade fatigue and destructively interfering with grid stability. A key parameter that determines the resonance amplitude of the blade is the hydrodynamic damping ratio (HDR). However, HDR is difficult to obtain due to the complex fluid–structure interaction (FSI). Therefore, a literature review was conducted on the hydrodynamic damping characteristics of blade-like structures. The experimental and simulation methods used to identify and obtain the HDR quantitatively were described, placing emphasis on the experimental processes and simulation setups. Moreover, the accuracy and efficiency of different simulation methods were compared, and the modal work approach was recommended. The effects of key typical parameters, including flow velocity, angle of attack, gap, rotational speed, and cavitation, on the HDR were then summarized, and the suggestions on operating conditions were presented from the perspective of increasing the HDR. Subsequently, considering multiple flow parameters, several theoretical derivations and semi-empirical prediction formulas for HDR were introduced, and the accuracy and application were discussed. Based on the shortcomings of the existing research, the direction of future research was finally determined. The current work offers a clear understanding of the HDR of blade-like structures, which could improve the evaluation accuracy of flow-induced vibration in the design stage.
Focal Therapy in Grade Group 3 Prostate Cancer
Authors: Pressler Lee , Pressler Mariel 
Published: July 2024

Abstract
Purpose of this Review
Treatment of intermediate risk prostate cancer remains controversial. Clearly some patients with low volume favorable intermediate risk can be followed with active surveillance. Those with high volume bilateral disease need more radical whole gland therapy. The question remains on how to best treat low volume localized unfavorable intermediate risk prostate cancer (GG3) while maintaining quality of life. Focal therapy has been becoming a popular option for many patients with localized prostate cancer. Most studies looking at focal therapy for prostate cancer have been limited to GG1 and GG2, many of whom may not need treatment. We set out to review the literature evaluating the safety and efficacy of focal therapy for GG3 prostate cancer.

Recent Findings
We reviewed multiple peer review articles obtained from a PubMed search. While in field biopsy recurrence rates approach 20%, failure free survival and overall survival exceeds 90%.

Summary
While focal therapy for unfavorable GG3 intermediate risk prostate cancer may have higher rates of local recurrence with appropriate post procedure follow up, patients who need salvage therapy are easily identified and survival rates are very high. Focal therapy is a good option for patients with localized low volume GG3 prostate cancer without compromising cancer survival and preserving quality of life.