bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why have Liberal-Progressive Philosophies of Education Caused Little Liberation or Progression for Māori?
Authors: Hetaraka Maia 
Published: February 2024

AbstractThere is much to celebrate about the liberal-progressive approach championed by New Zealand, which continues to be a prized feature of New Zealand education. Many liberal-progressive practices developed in New Zealand and contextualised for New Zealand students that sought to expand and enrich education were borrowed from Native Schools, Māori teachers, and Pākeha perceptions of preferred Māori pedagogies, giving rise to the perception that New Zealand education is bi-cultural in nature. This article offers critique of the key philosophies that have underpinned New Zealand education for the past 100 years to consider some of the challenges of liberal-progressive education for Māori. The philosophical foundations of a cutting-edge, creative, student-centred schooling system remain problematic for Māori and have been largely unsuccessful in expanding or enriching schooling for many Māori. A te ao Māori perspective of the foundational education philosophies highlights that the negative socio-political and educational positioning of Māori in New Zealand has been purposeful and well-coordinated.
Fast autonomous exploration with sparse topological graphs in large-scale environments
Authors: Wei Changyun , Wu Jianbin , Xia Yu , Ji Ze 
Published: February 2024

AbstractExploring large-scale environments autonomously poses a significant challenge. As the size of environments increases, the computational cost becomes a hindrance to real-time operation. Additionally, while frontier-based exploration planning provides convenient access to environment frontiers, it suffers from slow global exploration speed. On the other hand, sampling-based methods can effectively explore individual regions but fail to cover the entire environment. To overcome these limitations, we present a hierarchical exploration approach that integrates frontier-based and sampling-based methods. It assesses the informational gain of sampling points by considering the quantity of frontiers in the vicinity, and effectively enhances exploration efficiency by utilizing a utility function that takes account of the direction of advancement for the purpose of selecting targets. To improve the search speed of global topological graph in large-scale environments, this paper introduces a method for constructing a sparse topological graph. It incrementally constructs a three-dimensional sparse topological graph by dynamically capturing the spatial structure of free space through uniform sampling. In various challenging simulated environments, the proposed approach demonstrates comparable exploration performance in comparison with the state-of-the-art approaches. Notably, in terms of computational efficiency, the single iteration time of our approach is less than one-tenth of that required by the recent advances in autonomous exploration.
Deep Learning-Based Detection of Defects in Wafer Buffer Zone During Semiconductor Packaging Process
Authors: Kim Tae-Yeon , Park Sunjae , Lim Chang-Kue , Choi Jae-Hyuk , An Chang-Hyun , Song Lak-Hyun , Kim Do-Nyun 
Published: February 2024

AbstractEffectively detecting defects in wafer buffer zones is crucial in semiconductor manufacturing processes. If defects are not detected in the middle of the semiconductor manufacturing process, the semiconductor eventually becomes a defective product after all processes are completed. To solve this problem, rule-based vision algorithms have been used to identify defects in the wafer buffer zone. After photographing the wafer buffer zone using a high-speed camera, defects are detected using the pixel values of the images. However, because of the resin bleed in the wafer, which is an epoxy compound, it is difficult to detect defects. Therefore, we introduced a deep learning method for semiconductor inspection and created a high-performance semiconductor inspection algorithm. The defects in the wafer buffer zone should be detected accurately and quickly. Furthermore, the approximate size of the defects must be extracted. We modified the Xception model to fit the wafer data characteristics considering both accuracy and speed. We proposed to extract the size of the defect using class activation mapping (CAM). We obtained an accuracy of 96.9% from the actual wafer dataset through this framework, and then managed to extract the size of the defect through CAM.
Interval Type-2 Mutual Subsethood Cauchy Fuzzy Neural Inference System (IT2MSCFuNIS)
Authors: Hefny Hesham A. , Amer Nelly S. 
Published: February 2024

AbstractAn interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of 3-layers with all connection weights being IT2 Cauchy fuzzy membership functions (CMFs). The crisp inputs to the system are fuzzified into IT2CMFs with fixed centers and uncertain spreads. The hidden layer represents the rule-based knowledge. The firing degree of the antecedent part of each rule at the hidden layer is computed by aggregating the product of the mutual subsethood similarity measures between the inputs and the connection weights. A volume defuzzification is used to compute the numeric output. A gradient descent back-propagation algorithm is used to train the model. The novelty of the proposed model is threefold. First, is enriching the theory of the mutual subsethood fuzzy neural models by adopting the Cauchy membership function (CMF) as another powerful fuzzy basis function (FBF) rather than the classical choice of Gaussian fuzzy membership functions (GMFs). Second, is the success of computing the mutual subsethood similarity measure between the IT2CMFs and all the model parameters’ updating equations in analytic closed-form formulas, not numerically or approximately. Third, is the ability to extract the type-1 (T1) mutual subsethood Cauchy fuzzy neural inference system (T1MSCFuNIS) with all its analytic closed-form formulas directly as a special case from the general formulas of IT2MSCFuNIS model. Such a novelty makes the proposed model a concrete and effective development of the theory of mutual subsethood fuzzy neural models. Both IT2MSCFuNIS and T1MSCFuNIS models have been tested using different examples from the domains of function approximation, classification, and prediction. The results ensure the efficacy of both models compared with other models reported in the literature.
Epidemiology of Osteoporosis in Patients with Chronic Obstructive Pulmonary Disease in Taiwan
Authors: Liao Kuang-Ming , Shen Chuan-Wei , Chiu Kai-Lin , Lu Chun-Hui , Fang Chih-Wun , Chen Chung-Yu 
Published: February 2024

Abstract
Background
Chronic obstructive pulmonary disease (COPD) is a preventable and treatable chronic condition characterized by progressive, partially reversible airflow obstruction. Osteoporosis represents a significant comorbidity in individuals with COPD. However, the incidence and prevalence of osteoporosis among the COPD population remain unclear in Taiwan. Therefore, our objective is to investigate the incidence and prevalence of osteoporosis in patients with COPD.

Methods
In this cross-sectional study, we enrolled a COPD population retrieved from the Taiwan National Health Insurance Research Database (NHIRD) spanning the years 2003 to 2016. Osteoporosis patients were identified using diagnosis codes. The study included newly diagnosed COPD patients from 2003 to 2016. The case group comprised patients who developed osteoporosis or osteoporotic fractures after their COPD diagnosis. We calculated the prevalence and incidence of osteoporosis in individuals with COPD and conducted trend tests.

Results
A total of 1,297,579 COPD patients were identified during the period from 2003 to 2016, with 275,233 of them in the osteoporosis group. The average prevalence of osteoporosis among individuals with COPD was 21.21% from 2003 to 2016 in Taiwan. The number of osteoporosis cases increased from 6,727 in 2003 to 24,184 in 2016. The prevalence of osteoporosis among COPD patients increased from 3.62% in 2003 to 18.72% in 2016. The number of osteoporosis cases among individuals with COPD continued to rise over the years, reaching its highest point in 2016 with 24,184 new cases. The incidence of osteoporosis fluctuated during the study period but generally remained around 3,000 cases per 100,000 person-years. Notably, there was a significant upward trend in incidence from 2003 to 2006, after which the trend stabilized and remained relatively constant.

Conclusions
Our study highlights an increase in both the prevalence and incidence of osteoporosis in individuals with COPD. Given the significant medical, economic, and social implications associated with osteoporosis, a comprehensive and robust assessment of its healthcare burden can offer valuable insights for healthcare system planning and policymaking.
Dynamics of Malaria Incidence in Khyber Pakhtunkhwa, Pakistan: Unveiling Rapid Growth Patterns and Forecasting Future Trends
Authors: Khan Muhammad Imran , Qureshi Humera , Bae Suk Joo , Shah Adil , Ahmad Naveed , Ahmad Sadique , Asim Muhammad 
Published: February 2024

Abstract
Background
Malaria remains a formidable worldwide health challenge, with approximately half of the global population at high risk of catching the infection. This research study aimed to address the pressing public health issue of malaria’s escalating prevalence in Khyber Pakhtunkhwa (KP) province, Pakistan, and endeavors to estimate the trend for the future growth of the infection.

Methods
The data were collected from the IDSRS of KP, covering a period of 5 years from 2018 to 2022. We proposed a hybrid model that integrated Prophet and TBATS methods, allowing us to efficiently capture the complications of the malaria data and improve forecasting accuracy. To ensure an inclusive assessment, we compared the prediction performance of the proposed hybrid model with other widely used time series models, such as ARIMA, ETS, and ANN. The models were developed through R-statistical software (version 4.2.2).

Results
For the prediction of malaria incidence, the suggested hybrid model (Prophet and TBATS) surpassed commonly used time series approaches (ARIMA, ETS, and ANN). Hybrid model assessment metrics portrayed higher accuracy and reliability with lower MAE (8913.9), RMSE (3850.2), and MAPE (0.301) values. According to our forecasts, malaria infections were predicted to spread around 99,301 by December 2023.

Conclusions
We found the hybrid model (Prophet and TBATS) outperformed common time series approaches for forecasting malaria. By December 2023, KP’s malaria incidence is expected to be around 99,301, making future incidence forecasts important. Policymakers will be able to use these findings to curb disease and implement efficient policies for malaria control.
The Archaeology of the Pampas and Patagonia
Authors: Politis Gustavo G. , Borrero Luis A. 
Published: February 2024

In this book, Gustavo G. Politis and Luis A. Borrero explore the archaeology and ethnography of the indigenous people who inhabited Argentina's Pampas and the Patagonia region from the end of the Pleistocene until the 20th century. Offering a history of the nomadic foragers living in the harsh habitats of the South America's Southern Cone, they provide detailed account of human adaptations to a range of environmental and social conditions. The authors show how the region's earliest inhabitants interacted with now-extinct animals as they explored and settled the vast open prairies and steppes of the region until they occupied most of its available habitats. They also trace technological advances, including the development of pottery, the use of bows and arrows, and horticulture. Making new research and data available for the first time, Politis and Borrero's volume demonstrates how geographical variation in the Southern Cone generated diverse adaptation strategies.
Climate Change Education, Globalisation and the Nation State: A Commentary on Ghana’s Science Curriculum
Authors: Asante Christian Konadu , Yalley Edward , Amissah Gideon 
Published: February 2024

AbstractIn this paper, we offer a commentary on the climate change content in Ghana’s primary and junior high school science curriculum. Since 2019, the government of Ghana has mandated climate change education at multiple levels of the school system. However, there is very little analysis of these curricula. This paper fills an important gap by critically reviewing the climate change content in the science curriculum in a country with a complex and tenuous past regarding capitalist and colonialist expansion and exploitation. We note that while the curriculum attends to technical details of greenhouse gas emissions and climate impacts, it elides the larger global context that has led to the rise in carbon emissions and anthropogenic climate change. We make the case for a climate change curriculum that integrates culture, language and histories, and tackles the complexities of globalisation.
The Path to Judicial Management in Malaysia is Paved with Obstacles: Lessons from Singapore and the United Kingdom
Authors: Chen Thim Wai , Azmi Ruzita , Abdul-Rahman Rohana 
Published: February 2024

AbstractIn embracing corporate rescue, Malaysia introduced Judicial Management (JM) into its company law framework on 1 March 2018. The mechanism was modelled on Singapore's Judicial Management, which itself was based on the United Kingdom (UK) Administration Procedure. Despite its laudable objective of facilitating the rescue of financially distressed companies, the path to JM is paved with obstacles. This article identifies some of these obstacles and examines the issues that give rise to them. At the same time, the article proposes legislative reforms, drawing on comparative laws in Singapore and the UK. For the purposes of this article, three obstacles are examined: first, the power of a secured creditor or debenture holder to veto the JM application; second, the stringent and prohibitive burden imposed on an applicant company caused by the judicial interpretation, at times conflicting, of the provisions governing the application of a JM order; and third, the higher threshold imposed by legislative requirements on creditors’ meeting to approve the JM proposal. These obstacles are encountered at three stages of a JM application: first, at the initial stage of the application; second, in considering the merits of the JM; and third, when the creditors vote to approve the application.
The impact of badmouthing of medical specialities to medical students
Authors: Viani Walsh Dylan , Murphy Niamh , Evans Shane , Murphy Kieran C. , Guerandel Allys , Doherty Anne M. , Hallahan Brian , Lally John 
Published: February 2024

AbstractObjectives:This study aimed to evaluate the proportion of Irish medical students exposed to ‘badmouthing’ of different specialities and to ascertain: the degree of criticism of specialities based on the seniority of clinical or academic members of staff; if ‘badmouthing’ influenced student career choice in psychiatry; and attitudes of medical students towards psychiatry as a speciality and career choice.Methods:Medical students in three Irish universities were invited to complete an online survey to determine the frequency and effect of non-constructive criticism on choice of medical specialty. The online questionnaire was distributed to Royal College of Surgeons in Ireland (RCSI), University of Galway (UoG) and University College Dublin (UCD) in the academic year 2020–2021.Results:General practice (69%), surgery (65%) and psychiatry (50%) were the most criticised specialties. Criticism was most likely to be heard from medical students. 46% of students reported reconsidering a career in psychiatry due to criticism from junior doctors. There was a positive perception of psychiatry with 27% of respondents considering psychiatry as a first-choice specialty.Conclusions:Criticism of psychiatry by doctors, academics and student peers negatively influences students’ career choice, which could be contributing to recruitment difficulties in psychiatry.
COVID-19-induced neuropsychiatric symptoms can persist long after acute infection: a 2-year prospective study of biobehavioral risk factors and psychometric outcomes
Authors: Colizzi Marco , Comacchio Carla , De Martino Maria , Peghin Maddalena , Bontempo Giulia , Chiappinotto Stefania , Fonda Federico , Isola Miriam , Tascini Carlo , Balestrieri Matteo , Palese Alvisa 
Published: February 2024

AbstractObjectives:To assess the prevalence of neuropsychiatric symptoms 2 years after the COVID-19 acute phase and to identify biobehavioral risk factors.Methods:This 2-year prospective study assessed adult individuals with COVID-19 via face-to-face interview and laboratory testing at onset, and via telephone interview at 2-year follow-up. Data collected included COVID-19 severity and management at onset, as well as depression, anxiety, insomnia, cognitive failure, and fatigue at follow-up using standardized assessment tools.Results:Out of 1,067 screened COVID-19 patients, 230 completed the 2-year follow-up (female, 53.5%; aged>40, 80.9%; native Italian, 94.9%; medical comorbidity, 53.5%; chronic medication, 46.3%; moderate to severe COVID-19, 24.9%; hospital admission, 28.7%; ICU, 5.2%). At follow-up, 9.1% had anxiety, 11.3% depression, 9.1% insomnia, 18.3% cognitive failure, and 39.1% fatigue, of clinical relevance. Headache (OR = 2.49, 95% CI = 1.01–6.16, p = 0.048), dyspnea (OR = 2.55, 95% CI = 1.03–6.31, p = 0.043), and number of symptoms (OR = 1.23, 95% CI = 1.01–1.51, p = 0.047) at onset were associated with anxiety at follow-up; dyspnea at onset was associated with depression at follow-up (OR = 2.80, 95% CI = 1.22–6.41, p = 0.015); number of comorbidities at onset was associated with insomnia at follow-up (OR = 1.48, 95% CI = 1.06–2.08, p = 0.022); female gender (OR = 2.39, 95% CI = 1.14–5.00, p = 0.020) and number of symptoms (OR = 1.20, 95% CI = 1.02–1.42, p = 0.026) at onset was associated with cognitive failure at follow-up; number of comorbidities (OR = 1.33, 95% CI = 1.03–1.73, p = 0.029) and symptoms (OR = 1.19, 95% CI = 1.04-1.37, p = 0.013) and raised interleukin 6 levels (OR = 4.02, 95% CI = 1.42–11.36, p = 0.009) at onset was associated with fatigue at follow-up.Conclusions:COVID-19 survivors, especially if female, with preexisting health problems, and with a more severe acute phase, may present with long-lasting neuropsychiatric sequalae, urging interventions to sustain recovery particularly in these higher risk individuals.
Finno-Ugric Identity in Estonia: Visual and Discursive Analysis
Authors: Makarychev Andrey , Terry George Spencer , Siva Sami 
Published: February 2024

AbstractThis article seeks to discover how this contemporary Finno-Ugric identity has been politically instrumentalized and negotiated in Estonia. First, we look at how the Estonian state engages with the concept of Finno-Ugric world and inscribes it into Estonia’s foreign policy goals. Then, we delve into the role of Finno-Ugric traditionalism in Estonian populist and far-right discourses. Third, we discuss how local identity constitutes and cements community building initiatives and projects in the Seto region known for its local specificity and cultural peculiarity.
How Does Labor Mobility Affect Corporate Leverage and Investment?
Authors: Sanati Ali 
Published: February 2024

Abstract
I develop a dynamic model to investigate how labor mobility impacts firms’ decisions. In the model, firms make investment and financing decisions, hire labor with different skill and mobility levels, and set wages through bargaining. The model predicts that, in response to an increase in labor mobility, high-skill firms operate with lower financial leverage, become less responsive to investment opportunities, and invest at lower rates, while low-skill firms remain unaffected. I confirm these predictions in the data using shocks to workers’ mobility across firms. The results are useful in understanding the effects of labor mobility changes driven by government policies or technological shocks, such as the rise of remote work.
The development of postverbal subjects in L2 Italian: A multifactorial corpus analysis
Authors: Listanti Andrea , Torregrossa Jacopo 
Published: February 2024

AbstractMost studies on the acquisition of postverbal subjects (VS) in L2 Italian focus on a limited number of linguistic factors that tend to be associated with the production of VS in L1 (e.g., verb class and subject discourse status). Moreover, they analyze homogeneous groups of learners in terms of proficiency, mostly through controlled experiments. In this paper, we present a cross-sectional corpus study based on a multifactorial analysis of the L2 use of VS structures in semi-spontaneous speech. We analyze the production of VSs by learners of different levels of proficiency (A1-C2), considering linguistic factors that trigger the production of VS in L1, but have been unaccounted for in L2 studies (e.g., agentivity of the subject, syntactic configuration of the sentence, contrastive focus). We use a cumulative link mixed model to show how the features of verbs and subjects in VS structures change across proficiency levels. The results indicate learners’ progressive mastery of the mechanisms of assignment of the subject function to the postverbal constituent and increasing sensitivity to contrastive focus as a feature relevant for the use of VS. Furthermore, we observe that psychological verbs associated with the use of VS are produced from the earliest stages of L2 acquisition.
The role of cross-language orthography and phonology in translation recognition: an ERP study with Chinese–English bilinguals
Authors: Zhang Er-Hu , Cao Hong-Wen 
Published: February 2024

Abstract
This study investigated the electrophysiological correlates of cross-language orthographic and phonological processing in unbalanced Chinese (L1)–English (L2) bilinguals using a translation recognition task. The critical L1-L2 word pairs were incorrect translation equivalents but orthographically or phonologically related through translation (orthographic or phonological translation neighbor). Compared with the unrelated control, the recognition of L2 words showed comparable reaction time and accuracies when coupled with L1 orthographic or phonological translation neighbors. However, both orthographic and phonological translation neighbors elicited more negative event-related potential (ERP) waveforms in the bulk of the N400 component (300-600 ms) than the unrelated control. These findings were interpreted in the framework of the Bilingual Interactive Activation Plus model (BIA+ model), according to which cross-language orthographic and phonological representations were non-selectively accessed during the recognition of the L2 words, and top-down inhibitory control mechanism impacted the cross-language lexical competition and confliction between the two languages.