bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations
Authors: Hosseini Shahab , Gordan Behrouz , Kalkan Erol 
Published: May 2024

Abstract Precise bearing capacity prediction of circular foundations is essential in civil engineering design and construction. The bearing capacity is affected by factors such as depth, density of soil, internal angle of friction, cohesion of soil, and foundation radius. In this paper, an innovative perspective on a fuzzy inference system (FIS) was proposed to predict bearing capacity. The uncertainty of fuzzy rules is eliminated by using Z-number theory. The effective parameters, i.e., depth, density of soil, internal angle of friction, cohesion of soil, and foundation radius were considered as inputs to the proposed model. To compare regression and FIS model with Z-based FIS, statistical indices such as the coefficient of determination (R2), root mean square error (RMSE), and variance account for (VAF) were employed. For training and testing Z-FIS, the R2was (0.977 and 0.971), the RMSE was (1.645 and 1.745), and the VAF was (98.549% and 98.138), whereas for the FIS method, the values were (0.912 and 0.904), (5.962 and 6.76), and (90.12% and 88.49%). It should be mentioned that Z theory decreased the computational time by 89.28% (174.04 s to 18.65 s). The comparison of the statistical indicators of the presented models revealed the superiority of the Z-FIS model over the FIS. Notably, sensitivity analysis revealed that the most effective parameters on bearing capacity are internal angle of friction, depth, and soil density.
Fragility of Indonesian houses: scenario damage analysis of the 2006 Yogyakarta and 2009 Padang earthquakes
Authors: Weber Rikki , Cummins Phil , Edwards Mark 
Published: May 2024

AbstractIndonesia is located in one of the most seismically active regions in the world and often experiences damaging earthquakes. In the past the housing sector has sustained higher earthquake related damage and losses than other sectors. This is often attributed to the fact that the most common houses in Indonesia are non-engineered, built with poor quality workmanship, poor quality materials and without resilient seismic design features. However little effort has been made to quantify how fragile Indonesian houses are, or how their fragility may vary according to the population density or relative wealth of a region. It is not possible to derive empirical fragility functions for Indonesia due to insufficient damage data. The aim of this study is to determine whether existing earthquake fragility functions can be applied to common house types in Indonesia. Scenario damage analyses simulating the 2006 Yogyakarta and 2009 Padang events were undertaken several times testing different fragility functions. The simulated damage results were then compared to the damage observed post event to determine whether an accurate damage prediction could be achieved. It was found that the common house types in Yogyakarta and Central Java vary according to age of construction, location and relative wealth of a region and can be reasonably well represented by existing fragility functions. However, the houses in Padang and surrounding West Sumatra did not vary in a predictable manner and are more fragile than anticipated. Therefore, the fragility of the most common house types in Indonesia differs between Central Java and West Sumatra. This has important implications for seismic damage and risk assessment undertaken in Indonesia.
Long-term outcomes of neoadjuvant trastuzumab emtansine + pertuzumab (T-DM1 + P) and docetaxel + carboplatin + trastuzumab + pertuzumab (TCbHP) for HER2-positive primary breast cancer: results of the randomized phase 2 JBCRG20 study (Neo-peaks)
Authors: Takano Toshimi , Masuda Norikazu , Ito Mitsuya , Inoue Kenichi , Tanabe Yuko , Kawaguchi Kousuke , Yasojima Hiroyuki , Bando Hiroko , Nakamura Rikiya , Yamanaka Takashi , Ishida Kazushige , Aruga Tomoyuki , Yanagita Yasuhiro , Tokunaga Eriko , Aogi Kenjiro , Ohno Shinji , Kasai Hiroi , Kataoka Tatsuki R. , Morita Satoshi , Toi Masakazu 
Published: May 2024

Abstract
Purpose
The randomized phase 2 Neo-peaks study examined usefulness of neoadjuvant trastuzumab emtansine + pertuzumab (T-DM1 + P) following docetaxel + carboplatin + trastuzumab + pertuzumab (TCbHP) as compared with the standard TCbHP regimen. We previously reported that pCR rate after neoadjuvant therapy tended to be higher with TCbHP followed by T-DM1 + P. We conducted an exploratory analysis of prognosis 5 years after surgery.

Methods
Neoadjuvant treatment with TCbHP (6 cycles; group A), TCbHP (4 cycles) followed by T-DM1 + P (4 cycles; group B), and T-DM1 + P (4 cycles; group C, + 2 cycles in responders) were compared. Group C non-responders after 4 cycles were switched to an anthracycline-based regimen. We evaluated 5-year disease-free survival (DFS), distant DFS (DDFS), and overall survival (OS).

Results
Data from 203 patients (50, 52, and 101 in groups A–C, respectively) were analyzed. No significant intergroup differences were found for DFS, DDFS, or OS. The 5-year DFS rates (95% CI) were 91.8% (79.6–96.8%), 92.3% (80.8–97.0%), and 88.0% (79.9–93.0%) in groups A–C, respectively. TCbHP followed by T-DM1 + P and T-DM1 + P with response-guided addition of anthracycline therapy resulted in similar long-term prognosis to that of TCbHP.

Conclusions
In patients who achieved pCR after neoadjuvant therapy with T-DM1 + P, omission of adjuvant anthracycline may be considered, whereas treatment should be adjusted for non-pCR patients with residual disease. T-DM1 + P with response-guided treatment adjustment may be useful for minimizing toxicity.

Trial registration number and date of registration
UMIN-CTR, UMIN000014649, prospectively registered July 25, 2014. Some of the study results were presented as a Mini Oral session at the ESMO Breast Cancer 2023 (Berlin, Germany, 11–13 May 2023).
University lecturers’ lived experiences of teaching critical thinking in Australian university: a hermeneutic phenomenological research
Authors: Manning Musa Nicholas John 
Published: May 2024

AbstractThe study explores insights into the phenomenon of Australian lecturers’ lived experiences of teaching standalone critical thinking units within associate degree courses at one university in Victoria, Melbourne, Australia. The study makes an original contribution by focusing upon the experiences of teaching staff in Australian universities in relation to teaching critical thinking, particularly from a Heideggerian hermeneutic phenomenological and Gadamerian hermeneutic theoretical and conceptual framework. At present, there are no unified methods, frameworks, or models of teaching critical thinking in Australian higher education. This problem for lecturers is an important aspect of a university education that is not well understood. This is a global educational issue and is a matter of teaching and learning concern worldwide in tertiary education (e.g. United States of America, New Zealand, Canada, and the UK). Although, several studies have been conducted on teaching critical thinking from the perspective of university lecturers. There is limited research that focus on teaching staff in Australian universities’ experience with teaching critical thinking that has used Heidegger’s hermeneutic phenomenology and Gadamer’s hermeneutic circle, interpretive approach in gathering data. Using interviews, data is conducted with three first-year undergraduate Australian university Ph.D. lecturers. During the analysis of the empirical data, three themes were significant in revealing the key findings: (a) Dwelling; (b) Sorge, and (c) Concern. The comprehensive understanding of the results was that the challenges university lecturers faced in developing students to thinking critically provided new pedagogical curriculum insights for the teaching and learning of a standalone critical thinking unit within the associate degree course.
Validation of the use of concept maps as an evaluation tool for the teaching and learning of mechanical and industrial engineering
Authors: Veiga Fernando , Gil-Del-Val Alain , Iriondo Edurne , Eslava Urko 
Published: May 2024

Abstract
This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as individual and team map building, student progressive knowledge level, and map complexity. Concerning the complexity analysis, the focus is qualitative, and it is based on the data extracted from the concept maps elaborated by the students. The study, conducted during the 2018–2019 academic year, included students from various academic levels and institutions, such as the Public University of Navarra UPNA and the University of the Basque Country UPV-EHU, covering first-degree students of Bachelor's Degree in Mechanical Engineering and first-degree students of Master's Degree in Industrial Engineering at UPNA, third-degree students of Bachelor's Degree in Mechanical Engineering at UPV-EHU. The data collected from 37 individual maps in Industrial Drawing, 31 group maps in Industrial Drawing, 12 individual maps in Design of Machinery, and 12 group maps in Design of Machinery, along with a control group of 79 students who did not participate in any activity, provided valuable insights into the effectiveness of concept maps for evaluating understanding levels and learning outcomes across various engineering subjects and academic levels. The learning outcome of the students is treated to obtain the level of understanding of complex systems shown by the students through the concept maps previously drawn and the questionnaire answered by each student about the achievement of learning results through the use of concept maps. This work shows the research methodology established and the learning results achieved qualitatively: measuring the maps by means of a rubric, self-assessment based on a survey, and through the questionnaires. Also, the results obtained in the final exams have been compared. From the observed results, this methodology is presented as a suitable alternative for evaluating the correct acquisition of concepts in online teaching situations.
Oocyte retrieval in social fertility preservation: challenging traditional beliefs on gonadotropin dosing and follicular size
Authors: Herzberger Einat Haikin , Semo Mor , Soifer Kim , Miller Netanella , Gepstein Nitzan Goren , Rahav Roni , Levi Mattan , Wiser Amir 
Published: May 2024

Abstract
Objectives
To investigate treatment approaches for fertility preservation patients, with a focus on timing of oocyte retrieval, and to determine whether their characteristics differ from those of other IVF patients. Additionally, to evaluate the significance of follicle size on triggering day in the context of fertility preservation.

Methods
This retrospective cohort study was conducted in a tertiary, university-affiliated medical center. It compared 140 matched patients undergoing social fertility preservation to 140 patients undergoing IVF treatment due to male factor infertility.

Results
Patients undergoing fertility preservation received a higher initial gonadotropin dose and had more oocytes retrieved than the control group. Within the fertility preservation cohort, a negative correlation was observed between the rate of large follicles and the number of retrieved oocytes. While there was no significant association between rate of large follicles and oocyte maturation rate in the entire group, age-stratified analysis revealed a negative relationship. Analysis revealed that although traditional treatment determinants such as follicular size and gonadotropin dosing were considered, peak estradiol levels were consistently identified as significant predictors of treatment outcomes.

Conclusions
Physicians may modify treatments for fertility preservation, emphasizing a higher gonadotropin dosage to maximize oocyte retrieval. Elevated estradiol levels can serve as a real-time predictive marker for the number of mature oocytes. While treatment strategies can influence outcomes, intrinsic patient factors, particularly baseline ovarian function, remain crucial. These results challenge beliefs regarding the importance of larger follicles and suggest the need for a tailored approach, considering patient age and specific fertility preservation objectives.
Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps
Authors: Altantawy Doaa A. , Yakout Mohamed A. 
Published: May 2024

AbstractDue to the complexity and dynamics of the semiconductor manufacturing processes, wafer bin maps (WBM) present various defect patterns caused by various process faults. The defect type detection on wafer maps provides information about the process and equipment in which the defect occurred. Recently, automatic inspection has played a vital role in meeting the high-throughput demand, especially with deep convolutional neural networks (DCNN) which shows promising efficiency. At the same time, the need for a large amount of labeled and balanced datasets limits the performance of such approaches. In addition, complex DCNN in recognition tasks can provide redundant features that cause overfitting and reduce interpretability. In this paper, a new hybrid deep model for wafer map fault detection to get over these challenges is proposed. Firstly, a new convolutional autoencoder (CAE) is employed as a synthetization model to fix the high imbalance problem of the dataset. Secondly, for efficient dimensionality reduction, an embedding procedure is applied to the synthesized maps to get sparse encoded wafer maps by reinforcing a sparsity regularization in an encoder-decoder network to form a sparsity-boosted autoencoder (SBAE). The sparse embedding of wafer maps guarantees more discriminative features with 50% reduction in spatial size compared to the original wafer maps. Then, the 2D encoded sparse maps are converted to 1D sinograms to be fed later into another aggressive feature reduction stage using a new modified red deer algorithm with a new tinkering strategy. The resultant feature pool is reduced to ~ 25 1D feature bases, i.e., ~ 1.5% of the initial size of the 2D wafer maps. Finally, for the prediction stage, a simple 1DCNN model is introduced. The proposed inspection model is tested via different experiments on real-world wafer map dataset (WM-811K). Compared to state-of-the-art techniques, the proposed model outperforms their performance even with small-sized 1D feature pool. The average testing accuracy are 98.77% and 98.8% for 9 and 8 types of faults, respectively.
A Plural Nomos: Law, Life, and Knowledge
Authors: Davies Margaret 
Published: May 2024

AbstractEven in its limited state-based form, human law owes its existence to the natural physical world with its self-created value systems. What is understood as human law is grounded in human-nonhuman entanglements, themselves a subset of a multi-dimensional natural nomos consisting of the intricately connected normative worlds of animals, plants, earth, and cosmos. Complex and intersecting plural normative fields include those associated with the nonliving world, the multiple ontological worlds produced by life forms, and the many strata of human becoming – cultural, cognitive, social, and representational. As plural the nomos contains many irreducible dimensions. Normative fields intersect, hybridise, and clash; they can mutually strengthen and also negate other normativities. In this article, I set out and explore some dimensions of the plural nomos with a focus on living beings, notably the connectedness of being, knowing and normativity. The living nomos co-emerges with being and with the embodied knowledge of even the simplest forms of life. Life is both cognitive and normative; living beings inherit ancestral norms but, in living and adapting, life creates new norms, biological, cultural, and behavioural. The living-knowing being is always normative – produced by the norming processes and constraints of life and matter at large. Normative elements are a critical part of the ontological and epistemological embeddedness of human beings in more than human worlds. Before law (or knowledge) can be about life, it is also of or from life. Expanding the analytical frame of law in this way is one method by which we might reshape western narratives of law, with the aims of promoting better openness to First Nations laws, discouraging western cultural superiority and human exceptionalism, and moving toward a more eco-sensitive view of the continuity between human law-culture-society and the natural world.
DFT analysis of the electronic, optical, phonon, elastic, and mechanical features of ternary Rb2XS3 (X = Si, Ge, Sn) chalcogenides
Authors: Uğur Şule , Güler Melek , Özdemir Alptuğ , Güler Emre , Uğur Gökay 
Published: May 2024

AbstractDensity functional theory (DFT) calculations were executed for the titled features of hitherto unreported Rb2XS3 (X = Si, Ge, Sn) chalcogen compounds. All compounds were found to be in semiconducting character where they demonstrate high-k dielectric properties, high optical conductivity, high refractivity and reasonable absorbance. In addition, obtained phonon dispersion curves of all compounds with positive phonon frequencies stipulate the dynamical stability. Also, computed elastic stiffness constants prove mechanical stability and bilateral agreement between Pugh ratio analyses with Poisson ratio results confirms the ductile mechanical feature of all addressed compounds. Overall, with satisfactory optical, elastic and mechanical aspects, Rb2XS3 (X = Si, Ge, Sn) chalcogenides can be promising materials for recent optoelectronics and microelectronics with diverse applications.
Headache in patients with non-functioning pituitary adenoma before and after transsphenoidal surgery – a prospective study
Authors: Hantelius Victor , Ragnarsson Oskar , Johannsson Gudmundur , Olsson Daniel S. , Jakobsson Sofie , Thurin Erik , Farahmand Dan , Skoglund Thomas , Hallen Tobias 
Published: May 2024

Abstract
Purpose
To study the long-term effect of transsphenoidal surgery (TSS) on headache in patients with non-functioning pituitary adenoma (NFPA) and identify factors predicting headache relief following TSS.

Methods
We evaluated headache in 101 consecutive patients with NFPA who underwent TSS from September 2015 to December 2021, preoperatively and 12-months post-surgery, by using the Migraine Disability Assessment (MIDAS) questionnaire. Health-related quality of life (QoL) was assessed using the EQ-5D visual analogue scale (EQ-VAS).

Results
Of 101 patients, 27 (27%) experienced disabling preoperative headache. Among these, the median total MIDAS score improved from 60 (interquartile range (IQR): 19–140) to 10 (IQR: 0–49) (P = 0.004). Additionally, headache frequency over a 90-day period decreased from 45 (IQR: 25–83) to 6 (IQR: 3–36) days (P = 0.002), and headache intensity decreased from 5 (IQR: 4–7) to 4 (IQR: 2–7) (P = 0.016) at 12-months post-surgery. At 12 months post-surgery, 18 (67%) of 27 patients with preoperatively disabling headache showed clinically relevant improvement of their headache, 4 (15%) showed deterioration, and 5 (19%) remained unchanged. In patients with clinically relevant improvement of their headache, the EQ-VAS score improved from 50 (IQR: 30 − 7) to 80 (IQR: 65–86) (P < 0.001). Of the 74 patients with no preoperative headache, 11 (15%) developed postoperative headache. We identified no clinical factors predicting postoperative headache relief.

Conclusion
The study supports that clinically significant and long-lasting improvements of disabling headache and QoL can be achieved with TSS in a substantial number of patients with NFPA.
Using Power Analysis to Choose the Unit of Randomization, Outcome, and Approach for Subgroup Analysis for a Multilevel Randomized Controlled Clinical Trial to Reduce Disparities in Cardiovascular Health
Authors: Harrall Kylie K. , Sauder Katherine A. , Glueck Deborah H. , Shenkman Elizabeth A. , Muller Keith E. 
Published: May 2024

AbstractWe give examples of three features in the design of randomized controlled clinical trials which can increase power and thus decrease sample size and costs. We consider an example multilevel trial with several levels of clustering. For a fixed number of independent sampling units, we show that power can vary widely with the choice of the level of randomization. We demonstrate that power and interpretability can improve by testing a multivariate outcome rather than an unweighted composite outcome. Finally, we show that using a pooled analytic approach, which analyzes data for all subgroups in a single model, improves power for testing the intervention effect compared to a stratified analysis, which analyzes data for each subgroup in a separate model. The power results are computed for a proposed prevention research study. The trial plans to randomize adults to either telehealth (intervention) or in-person treatment (control) to reduce cardiovascular risk factors. The trial outcomes will be measures of the Essential Eight, a set of scores for cardiovascular health developed by the American Heart Association which can be combined into a single composite score. The proposed trial is a multilevel study, with outcomes measured on participants, participants treated by the same provider, providers nested within clinics, and clinics nested within hospitals. Investigators suspect that the intervention effect will be greater in rural participants, who live farther from clinics than urban participants. The results use published, exact analytic methods for power calculations with continuous outcomes. We provide example code for power analyses using validated software.
Comparing Tier 1 reading instruction with Tier 3 or special education intervention through an observational snapshot of school-implemented response to intervention across Grades 1–5
Authors: Al Otaiba Stephanie , Stewart Jennifer , van Dijk Wilhelmina , Conner Carlin , Freudenthal Dayna Russell , Rivas Brenna , Yovanoff Paul , Allor Jill 
Published: May 2024

AbstractThere is limited research about Tier 3 interventions provided during typical school Response to Intervention (RTI) implementation. As part of a larger RTI exploration study designed to focus on students with the most intensive reading needs, our goal was to contrast their Tier 1 core reading instruction with their Tier 3 intervention. Schools identified participating students as receiving Tier 3 or special education for reading. We aimed to provide a snapshot of differences in Tier 1 and intensive interventions delivered to 264 students from 32 elementary schools. Our research team used the Instructional Content Emphasis-Revised (ICE-R; Edmond & Briggs, 2003) to observe differences in group size and the amounts and types of curricular content (e.g., code vs. meaning-focused) students received during both tiers. We explored whether these patterns were consistent across Grades 1–5 and if they differed in relation to students’ disability (reading disability vs. other disability vs. no disability). We also examined whether the Tier 3 observation data was consistent with administrators’ reports about RTI implementation within their school. Across the grades, we found significantly more small-group than whole-class instruction during Tier 3 than in Tier 1. We observed significantly lower proportions of code-focused instruction than meaning-focused instruction, particularly during Tier 1. Generally, code-focused instruction decreased across the grades in both tiers. Although we found a trend suggesting students with reading disabilities may have received higher proportions of code-focused instruction than other students, this was not significant after multiple comparisons. We discuss some similarities and differences between our observations and administrator data. We discuss implications, limitations, and directions for future research.