bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Skills of Management Accountants: A Comparative Analysis across EU Countries
Authors:   Bucharest University of Economic Studies, Romania, RÎNDASU Sînziana-Maria , IONESCU-FELEAGA Liliana ,   Bucharest University of Economic Studies, Romania, IONESCU Bogdan-Stefan ,   Bucharest University of Economic Studies, Romania, TOPOR Ioan Dan ,   1 Decembrie 1918 University, Alba-Iulia, Romania
Published: November 2023

The Fourth Industrial Revolution is bringing significant changes to the digital skill set required of management accountants. Thus, to continue ensuring the profession's relevance, academia and professional bodies constantly seek to update their curricula to meet the business environment's necessities. Thus, the present research aims to identify the digital skills management accounting practitioners need by examining the companies' requirements and determining whether there are significant differences between European Union (EU) member states regarding the countries' digital performance. This study adopts a mixed-methods approach by combining qualitative and quantitative research methods to achieve this objective. The results obtained from the undertaken analyses reveal that most companies consider necessary basic digital skills, such as the effective use of spreadsheet software and competencies related to integrated systems, Business Intelligence, database management systems, and data warehouse management systems. In addition, the comparative review reveals that in countries with a high level of digital performance there is a significant impact on the professional requirements, with no differences being identified between countries with a medium and low level of digital performance, emphasising the changing role of practitioners as a result of the extensive management accounting processes' digitalisation. The research findings consequently have a series of implications for academia,professional bodies, and companies.
Open-Source Flexible Materials Tensile Testing Apparatus
Authors: Woods Morgan C. , Nauta Nathan , Pearce Joshua M.
Published: November 2023

Alternative food sources are essential in both low-resource settings or during emergencies like abrupt sunlight reduction scenarios. Seaweed presents a promising option but requires investigation into the viability of unconventionally sourced ropes for harvesting. As such, a low-cost reliable method to test the tensile strength of rope is needed to validate alternative materials for use in harvesting seaweed. Unfortunately, commercial rope testing jigs alone range in price from several thousand to tens of thousands of dollars. To fill this need, this article reports on an open-source design for tensile strength rope testing hardware. The hardware design focuses on using readily available parts that can be both sourced from a hardware store and manufactured with simple tools to provide for the greatest geographic accessibility. The jig design, which can be fabricated for CAD$20 is two to three orders of magnitude less expensive than commercially available solutions. The jig was built and tested using a case study example investigating denim materials (of 1 5/8”, 3 1/4", 4 7/8”, 6 1/2", and 8 1/8” widths) as a potential alternative rope material for seaweed farming. Denim demonstrated strength up to 1.65kN for the widest sample and the jig demonstrated sufficient strength and stiffness for operating at forces below 4kN. The results are discussed and areas for future improvements are outlined to adapt the device to other circumstances and increase the strength of materials that can be tested.
Time Convolutional Network Based Maneuvering Target Tracking with Azimuth-Doppler Measurement
Authors: Jianjun Huang , Hu Haoqiang , Li Kang
Published: November 2023

In the field of maneuvering target tracking, the combined observations of azimuth and Doppler may cause weak observation or non-observation in the application of traditional target tracking algorithms. Additionally, traditional target-tracking algorithms require pre-defined multiple mathematical models to accurately capture the complex motion states of targets, while model mismatch and unavoidable measurement noise lead to significant errors in target state prediction. To address those above challenges, in recent years, the target-tracking algorithms based on neural networks, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and Transformer architectures, have been widely used for their unique advantages to achieve accurate predictions. To better model the nonlinear relationship between the observation time series and the target state time series, as well as the contextual relationship among time series points, we present a deep learning algorithm called recursive downsample-convolve-interact neural network (RDCINN) based on convolutional neural network (CNN) that downsamples time series into sub-sequences and extracts multi-resolution features to enable the modeling of complex relationships between time series, which overcomes the shortcomings of traditional target-tracking algorithms in using observation information inefficiently due to weak observation or non-observation. The experimental results show that our algorithm outperforms other existing algorithms in the scenario of strong maneuvering target tracking with the combined observations of azimuth and Doppler.
Supporting the Transition Towards Zero-Emission Recyclables Collection Using MARKAL-based Approach
Authors: Bieda Bogusław , Ksiazek Roger , Gdowska Katarzyna , Korcyl Antoni
Published: November 2023

Municipal Solid Waste Management (MSWM) struggles with significant policy and operational challenges, particularly concerning recyclables collection routes and fleet composition. Within the European Union, phasing out traditional fuel-based vocational vehicles, like garbage trucks, in favor of zero-emission alternatives is mandatory to achieve sustainable development objectives. Integrating electric solid waste collection vehicles into municipal fleets presents challenges due to differences in range, capacity, and noise levels. The emission is even more crucial in the systems where recyclables are collected separately, which requires a greater number of trips to be performed. This study addresses MSWM’s strategic aspect by minimizing the total cost of replacing waste collection vehicles while meeting emission constraints. The Fleet Transition Problem (FTP) was formulated and solved using a MARKAL-based approach. The objective of the FTP and a mixed integer linear program used to solve it is minimizing the overall cost of fleet modernization throughout a multi-phase planning horizon so that the sustainable transition of the fleet can be assured. Computational experiments affirmed the model’s effectiveness in strategizing fleet transition. This research outlines a multi-period model for transitioning to a zero-emission fleet and demonstrates the FTP’s potential for strategic decision-making. Notably, the study observes a consistent reduction in permissible emissions across the planning horizon.
Oilfield Reservoir Parameter Inversion Based on Ground Deformation 2D Measurements Acquired by Msbas Time Series InSAR Method
Authors: Liu Anmengyun , Zhang Rui , Yang Yunjie , Wang Tianyu , Wang Ting , Shama Age , Zhan Runqing , Bao Xin
Published: November 2023

Time series ground deformation monitoring and reservoir parameter inversion are crucial for the dynamic assessment of oilfield resources and sustainable exploitation in an oilfield. As one of the regions with the richest oil reserves in China, the oilfield areas in the western Qaidam Basin are selected as a typical study area. Firstly, we used SAR images collected by the Sentinel-1A satellite from January 2021 to December 2022 and applied the Multidimensional Small Baseline Subset (MSBAS) method to obtain vertical and east-west deformation measurements. On this basis, a nonlinear Bayesian inversion method was applied to model the shallow reservoir in a series of complex deformation areas, based on a single-source model and a multi-source model, respectively. As a result, the ground deformation monitoring results obtained by long time series InSAR clearly reflect the uneven ground deformation caused by the oil extraction and water injection operation process. There is slight subsidence in the Huatugou oilfield, while significant uplift deformation occurred in the Ganchaigou oilfield and the Youshashan oilfield, with a maximum uplift rate of 48 mm/year. Further analysis indicates that the introduction of the 2D deformation field helps to improve the robustness of oilfield reservoir parameter inversion. Moreover, the dual-source model is more suitable than the single-source model for inverting complex deformation reservoir parameters. This study not only fills the blank of InSAR deformation monitoring for the oilfields in the western Qaidam Basin but also provides a theoretical reference for model and method selection of reservoir parameter inversion in other oilfields.
Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure
Authors: Alidaee Bahram , Wang Haibo , Huang Jun , Sagbansua Lutfu
Published: November 2023

It is a critical issue to allocate redundancy to critical smart grid infrastructure for disaster recovery planning. In this study, we present a framework to combine statistical prediction methods and optimization models for the optimal redundancy allocation problem. First, we develop statistical simulation methods to identify critical nodes of very large-scale smart grid infrastructure based on the topological features of embedding networks, and then present a linear integer programming model based on generalized assignment problem (GAP) for redundancy allocation of critical nodes in smart grid infrastructure. The model is specifically implemented in the context of smart grid infrastructure. The findings demonstrate that the combined approach of statistical simulation and optimization effectively addresses the size limitations inherent in a sole optimization approach. Notably, the optimal solutions for redundancy allocation in very large grid systems highlight that the cost of redundancy is only a fraction of the economic losses incurred due to weather-related outages.
Preparation, Stimulus-Response Mechanisms and Applications of Micro-Nanorobots
Authors: He Tao , Yang Yonghui , Chen Xue-Bo
Published: November 2023

Micro/Nano Robot is an intelligent and efficient microrobot that can perform specific tasks under the influence of external stimuli. Depending on the application scenarios, the microrobot can adaptively transform into appropriate functional forms under different external stimuli, thus perfectly matching the needs. To date, microbots have been widely used in targeted therapy, drug delivery, tissue engineering, environmental remediation, and other fields. Although the applications of microrobots are promising, there are only a few reviews that can focus on the preparation methods and driving mechanisms. Therefore, it is necessary to outline the current status of the development of these microrobots in order to provide some new insights for the further development of the field. Therefore, this paper reviews the research progress of microrobots in terms of preparation methods, stimulus response mechanisms and applications, and highlights the applicability of different preparation methods and stimulus types. Finally, the current challenges faced by microrobots are highlighted and possible solutions are proposed to facilitate the practical application of microrobots.
Advanced Driver Information System at Critical Points of the Multimodal Traffic Network
Authors: Tonec Vrančić Maja , Škorput Pero , Vidović Krešimir
Published: November 2023

Enhancing traffic safety is one of the fundamental objectives of Intelligent Transport Systems (ITS), and it aligns closely with the principles of sustainable transport. Due to specific differences in infrastructure, vehicles, and users’ behaviour, places where different modes of traffic intersect are recognized as critical points of the traffic system, making them crucial aspects of Sustainable Urban Mobility Plans (SUMPs) implementation. The SUMPs aim to create urban mobility that is not only environmentally friendly and efficient but also safe for all users. The continuous development and widespread adoption of innovative ITS technologies have paved the way for a system that could provide drivers with real-time information about both immediate and potential dangers at these critical points. This paper provides an overview of previous research in the field, investigating the impact of information systems on drivers’ behaviour, various detection and communication solutions that can be effectively integrated into such a system, as well as a brief overview of models and solutions that have been developed to warn drivers in a similar context. The reviewed literature offered valuable insights on which a novel driver information system architecture framework is proposed. This framework can contribute to the ongoing safety improvement in multimodal transport networks within the context of sustainable transport.
Vibration-Based SHM in the Synthetic Mooring Lines of the Semi-Submersible OO-Star Wind Floater Under Varying Environmental and Operational Conditions
Authors: Anastasiadis Nikolas P. , Sakaris Christos S. , Schlanbusch Rune , Sakelariou John S.
Published: November 2023

Synthetic fiber ropes are frequently used as mooring lines in floaters supporting Floating Offshore Wind Turbines (FOWTs) due to their various advantages. Damages in these lines can lead to the disruption of the FOWTs normal operation and thus their early detection is crucial. Currently, this damage detection problem has been investigated exclusively for FOWT chain mooring lines. This study focuses on the damage detection in FOWT synthetic mooring lines under varying environmental-operational conditions (EOCs) via two types of vibration-based Structural Health Monitoring methods: those based on Multiple Models and those based on a single Functional Model. The methods are based on multivariate AutoRegressive or on scalar Transmittance Function (TF) AutoRegressive with eXogenous input models. All methods are evaluated through a Monte Carlo study involving 390 simulations with a 10MW wind turbine mounted on the semi-submersible OO-Star wind floater and two damage scenarios (10%, 14% stiffness reduction) to a single mooring line. The results using acceleration signals from only two measuring positions on the mooring line, indicate the great potential for robust SHM in FOWTs synthetic mooring lines with the TF model-based methods successfully detecting the considered early stage damage scenarios, even for EOCs not encountered in the methods training.
Taxonomic Structure and Wing Pattern Evolution in the Parnassius mnemosyne Species Complex (Lepidoptera, Papilionidae)
Authors: Lukhtanov Vladimir A. , Zakharov Evgeny
Published: November 2023

In our work, using the analysis of DNA barcodes and morphology (wing color, male genitalia, sphragis shape in females), we show that the group of species close to P. mnemosyne is represented by two phylogenetic lineages, the western and eastern ones. The eastern lineage includes P. stubbendorfii, P. glacialis and P. hoenei. The western lineage includes three morphologically similar species, P. mnemosyne (Western Eurasia), P. turatii (southwestern Europe) and P. nubilosus stat. nov. (Turkmenistan and NE Iran), as well as P. ariadne (Altai). The latter species differs from the rest of the group in the presence of red spots on the wings. Parnassius mnemosyne s.s. is represented by four differentiated mitochondrial clusters that show clear association with specific geographic regions. We propose to interpret them as subspecies: P. mnemosyne mnemosyne (Central and Eastern Europe, N Caucasus, N Turkey), P. mnemosyne adolphi (the Middle East), P. mnemosyne orientalis (Tian Shan) and P. mnemosyne gigantea (Gissar-Alai in Central Asia). We demonstrate that in P. ariadne the red spots on the wing evolved as a reversion to the ancestral wing pattern. This reversion is observed in Altai, where the distribution areas of the western lineage, represented by P. ariadne, and the eastern lineage, represented by P. stubbendorfii, overlap. These two species hybridize in Altai, and we hypothesize that the color change in P. ariadne is the result of reinforcement of prezygotic isolation in the contact zone. Lectotype of Parnassius mnemosyne var. nubilosus Christoph, 1873 is designated.
Sensor-Based Assessment of Time-of-Day Dependent Physiological Responses and Physical Performance during a Walking Football Match in Higher Weight Men
Authors: Hidouri Sami , Driss Tarak , Tagougui Semah , Kammoun Noureddine , Chtourou Hamdi , Hammouda Omar
Published: November 2023

In conclusion, the present study demonstrated the safety of practicing WFM at different TOD. Furthermore, it appears that practicing WF in the evening is safer, as indicated by HRR60s, [Gl], and MBP findings. The utilization of digital biomarkers for monitoring health status during WFM has been shown to be efficient.
Impact of Exchange Rate Volatility on South Africa's Exports: New Evidence from NARDL and STR Models
Authors: Pamba Dumisani
Published: November 2023

This research paper aimed to examine the impact of exchange rate volatility on South Africa's exports from 1994 Q1 to 2023 Q2. The study used the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests to test for stationarity. The nonlinear autoregressive distributed lag (NARDL) model and smooth threshold regression (STR) are employed to analyse the relationship between exchange rate volatility and exports. The GARCH (1.1) technique is used to construct the exchange rate volatility data. The results of the stationarity tests reveal that variables are either integrated in order I(0) or I(1). This implies that the variables used in this study are stationary, which is crucial for conducting accurate analyses. Moreover, the NARDL test approach provided insights into the long-run effects of exchange rate volatility on South Africa's exports. Based on the NARDL test, positive shocks have a greater but statistically insignificant effect on exports than negative shocks. Therefore, a greater level of exchange rate volatility may lead to increased exports from South Africa. Furthermore, the STR also reveals that the impact of exchange rate volatility is insignificant. These findings provide valuable insights for policymakers and firms to make informed decisions regarding exchange rate management and export strategies in South Africa.
Stability of the Macrocyclic Gd-DOTA Contrast Agent (DOTAREM) under Different Estuarine Environmental Conditions
Authors: Guerreiro Ana , Brito Pedro
Published: November 2023

Gadolinium-based contrast agents (GBCA) are complexes, highly stable in vivo, used in Magnetic Resonance Imaging (MRI), administered in patients and then eliminated via renal, passing through wastewater treatment plants (WWTP) before being discarded in the receiving medium, without apparent removal. In this study, it was studied if different exposure periods to several environmental parameters (solar radiation, different salinities, temperatures and pH) will influence the stability of these complexes, namely, the Gd-DOTA. Gd-DOTA solutions were processed in a seaFAST-pico saline matrix pre-concentration and elimination system and Gd concentrations were determined by ICP-MS. Results showed that the complex remained stable in fresh, brackish and saline water environments, even when exposed to extreme temperatures (40ºC) or slightly acidic to basic conditions (6-10), for an exposure period of 96h. A small increase in the free Gd concentration was observed after 18 days when exposed to pH<4, in all tested salinities (0, 18 and 36 PSU), with a degradation increase of up to 29%, after 5 weeks of exposure in freshwater. When exposed to direct solar radiation a low Gd-DOTA degradation (4%) was observed after 24h at salinity 18 PSU and remained constant until the end of the exposure period (96h), while the remaining salinities showed negligible values.
Performance of Ultra-High-Performance Concrete Enhanced with Sugarcane Bagasse Ash
Authors: Wang Yulin , Lian Jinkang , Fu Tengfei , Easa Said M
Published: November 2023

Although Sugarcane bagasse ash (SCBA) has good cementitious property, previous researchers have primarily aimed to improve the mechanical performance of conventional concrete or cement-based composites. Research is lacking on ultra-high performance concrete (UHPC), especially regarding tensile self-sensing properties. This paper aimed to comprehensively evaluate the SCBA effect on the UHPC’s mechanical, electrical, and tensile self-sensing properties. The results showed that SCBA below the critical incorporation concentration (CIC) improved the UHPC’s mechanical properties compared to steel fibers alone. Furthermore, adding 3.0wt% SCBA remarkably enhanced the UHPC mechanical properties where the compressive, flexural, and tensile strengths increased by 13.1%, 17.4%, and 20.6%, respectively. The SCBA content of 0.3wt% achieved the maximum UHPC electrical resistivity since values smaller or greater than this content decreased the resistivity. The SCBA-enhanced UHPC showed better tensile stress-sensing performance than UHPC without SCBA due to improved linearity and reversibility, lower hysteresis, higher sensitivity, and superior repeatability. UHPC with 0.3wt% SCBA achieved the best linearity, while UHPC with 0.9wt% SCBA showed the highest sensitivity, lowest hysteresis, and best repeatability. Overall, the content of 0.9wt% SCBA is the best in improving the overall mechanical, electrical, and tensile self-sensing performance.
Kompetensi Strategis Siswa SMP dalam Menyelesaikan Masalah Matematika Ditinjau dari Perbedaan Jenis Kelamin
Authors: Achmad Fachruddin  , Dwi Juniati
Published: November 2023

Penelitian ini merupakan penelitian deskriptif kualitatif. Tujuan dari penelitian ini adalah untuk mendeskripsikan kompetensi strategis siswa SMP peraih medali olimpiade matematika internasional dalam menyelesaikan masalah matematika khususnya pada topik aljabar. Kompetensi strategis merupakan kemampuan siswa dalam merumuskan, merepresentasikan, dan menyelesaikan masalah. Subjek penelitian adalah satu siswa laki-laki dan satu siswa perempuan SMP sederajat yang pernah mendapatkan medali olimiade matematika di tingkat internasional baik medali emas, perak, maupun perunggu dalam 2 tahun terakhir.  Pengumpulan data dilakukan melalui tugas pemecahan masalah, wawancara, observasi dan dokumentasi. Indikator yang dinilai mencakup merumuskan, merepresentasikan dan memecahkan masalah. Hasil penelitian menunjukkan bahwa pada tahap merumuskan masalah, kedua subjek membaca dan membayangkan situasi dan kondisi dari permasalahan yang ada, subjek laki-laki tidak menuliskan pada lembar jawaban tentang informasi apa saja yang diketahui di soal, sedangkan subjek perempuan menuliskan dengan lengkap informasi yang diketahui di soal. Pada tahap merepresentasikan, subjek laki-laki menuliskan dalam bentuk simbol atau sketsa matematis sedangkan subjek perempuan menuliskan semua kemungkinan bentuk aljabar yang memenuhi. Pada tahap memecahkan masalah, subjek laki-laki cenderung menggunakan cara yang lebih singkat dan efektif, sedangkan subjek perempuan bekerja lebih runtut dan rinci yaitu mendaftar semua kemungkikan biaya yang harus dikeluarkan, kedua subjek mendapatkan jawaban yang sama dan benar.
Analisis Berpikir Kritis Mahasiswa Dalam Mengkonstruksi Alat Peraga Pembelajaran Matematika
Authors: Soehoed Wiwin Sri Hidayati , Mokhamad Farid Hidayat  , Abd. Rozak
Published: November 2023

Tujuan penelitian untuk menganalisis proses berpikir kritis mahasiswa bergaya kognitif Field Dependent (FD) dan Field Independent (FI) dalam mengkonstruksi alat peraga pembelajaran matematika. Jenis penelitian ini adalah deskriptif kualitatif. Subjek penelitian 1 mahasiswa bergaya kognitif FD dan 1 mahasiswa bergaya kognitif FI prodi pendidikan matematika STKIP PGRI Jombang. Peneliti sebagai instrumen utama dan lembar observasi, pedoman wawancara serta alat perekam sebagai instrumen pendukung. Teknik pengumpulan data menggunakan observasi dan wawancara. Kredibilitas data dengan triangulasi waktu dan dianalisis secara mendalam. Hasil penelitian menunjukkakn bahwa: (1) Subjek bergaya kognitif FD dalam mengkonstruk alat peraga dimulai dengan membuat ide/gagasan, menganalisis kebutuhan dan karakteristik siswa, merumuskan tujuan, menentukan bahan/alat yang digunakan, melaksanakan pembuatan alat peraga dan melaksanakan implementasi. (2) Subjek FI dalam mengkonstruk alat peraga dimulai dengan membuat ide/gagasan, menganalisis kebutuhan dan karakteristik siswa, merumuskan tujuan, membuat sketsa, menentukan bahan/alat yang digunakan, melaksanakan pembuatan alat peraga, melakukan ujicoba/membuat miniatur dan melaksanakan implementasi.
Validity of Derivative Calculus Textbook to Increase Learning Motivation
Authors: Muhammad Taqwa
Published: November 2023

The purpose of this research is to develop a valid textbook in fostering student learning motivation. This type of research is development research, namely the development of textbooks with the Plomp model: (1) initial investigation, (2) design, (3) realization/construction, (4) testing, evaluation and revision, (5) implementation. The subjects of this study were students of the Mathematics Education Study Program of STKIP Andi Matappa. Research instrument: textbook validation sheet. Research results: the content validity score of the coursebook is included in the high category. This shows that the derivative calculus textbook that has been developed meets the validity elements to foster student learning motivation.
Divergent Reconstructions of Aristotle's Train of Thought: Robert Grosseteste on Proclus' 'Elements of Physics'
Authors: Kiosoglou Socrates-Athanasios
Published: November 2023

The present paper discusses Grosseteste’s reception of Proclus’ Elements of Physics (EP) in his Commentary on Aristotle’s Physics VI. In the first section I examine the method with which Grosseteste reconstructs Aristotelian texts. The second section initiates a study of the way Grosseteste evaluates Proclus’ EP on the basis of this method. Thus, the third section brings out Grosseteste’s moderate criticism of Proclus’ treatment of certain Aristotelian conclusiones and assumptions. The fourth section extends this study to the conceptual relation between contiguity, continuity and succession. Finally, Grosseteste’s evaluation of Proclus’ tendency to omit, divide and merge Aristotelian conclusiones is studied in the fifth section. I conclude that Grosseteste is a careful and moderately critical reader of Proclus. He aptly grasps the dependence of the EP on Physics VI and conceives of Proclus’ EP as a forerunner of his own method of reconstructing Aristotelian texts.
Corporeity, corpus-substantia, and corpus-quantum in Grosseteste’s Commentaries on the Physics and Posterior Analytics
Authors: Lewis Neil
Published: November 2023

In medieval writers we find a distinction between body as a substance – corpus-substantia – and body as a quantity – corpus-quantitas (or quantum). One of the earliest uses of this distinction is in works written by Robert Grosseteste in the 1220s. In this paper I explore his use and understanding of this distinction. I argue that he understands corpus-substantia as such as a dimensionless composite of a first corporeal form, corporeity, and prime matter. Corporeity itself is an active power for three dimensions. Through its infinite and necessary self-multiplication corporeity extends the prime matter it informs into three dimensions, thereby resulting in corpus-quantum. I explore how Grosseteste’s conception of corporeity, though probably based on ideas found in Avicenna, diverges from different understandings of Avicenna’s conception of corporeity proposed by medieval and modern commentators.
Kaynak Bağımlılığının Örgütlerde Rekabet Avantajı Üzerine Etkisi: Kavramsal Bir İnceleme
Authors: ZENGİN Mehmet
Published: November 2023

Küreselleşme süreciyle birlikte küçük bir köy haline gelen dünyamızda örgütler, varlıklarını sürdürebilmek için kaynaklarını etkili ve verimli kullanmanın yanı sıra başarılı bir şekilde de yönetmek durumundadır. Örgüt kuramlarından Sistem Teorisi ve Durumsallık Teorisi ile ilişkilendirebileceğimiz Kaynak Bağımlılığı Kuramı, örgütlerin çevreleriyle olan ilişkisini “kaynak, bağımlılık ve güç” üçgeninde ele almakta, ona bir organizma metaforuyla bakmaktadır. Kaynak Bağımlılığı Kuramı’nın kurucuları olan Jeffrey Pfeffer ve Gerald Salancik, örgütlerin çevreleriyle olan ilişkilerine odaklanarak örgütlerin daha iyi anlaşılabileceğini savunmuşlardır. Bu çalışmada, örgütler/işletmeler ekseninde kaynak bağımlılığı; onu meydana getiren tarihsel süreç ve ilişkili olduğu temel kuramlarla birlikte incelenerek özellikle dış çevreyle birlikte irdelenmiş, bağımlılığa karşı izlenen ya da geliştirilen stratejik yöntemler çeşitli sektörlerdeki örnek araştırmalarla değerlendirilmiştir. Turizm, tekstil, hazır giyim, organize sanayi, sağlık ve otomotiv endüstrisinde yapılan nitel ve nicel içerikli bulgulardan yararlanılmış, elde edilen sonuçlardan bir çıkarımda ve önermelerde bulunulmuştur. Kaynak bağımlılığı, örgütlerin sürüdürülebilirliği açısından önem taşıdığından yönetimsel açıdan da ele alınmış ve bu kuramın rekabete olan etkileri kavramsal bir bakış açısı ile ortaya konmuştur. Görülmüştür ki bağımlılığı azaltmaya ya da denge kurmaya yönelik stratejiler faaliyette bulunulan sektöre göre farklılık göstermektedir. Bu çalışmanın alan araştırmacılarına yeni bir ufuk açması amaçlanmakta olup, literatürdeki eksikliğin de giderilmesi hedeflenmektedir.
Implications for Initial Teacher Education (ITE) programs in preparing mainstream teachers for culturally and linguistically diverse classrooms
Authors: Smith Jennifer , Downes Lynn
Published: November 2023

With a rising percentage of English as an Additional Language or Dialect (EAL/D) learners in Australian schools and recent policy changes, increasingly these students find themselves learning curriculum content in mainstream classes without appropriate language learning support. Professional standards for teachers in Australia require graduates to demonstrate knowledge of teaching strategies that are responsive to the learning strengths and needs of students from diverse linguistic, cultural, religious, and socioeconomic backgrounds, including Indigenous learners. However, teachers report being ill-prepared for teaching in culturally and linguistically diverse classrooms. It seems that Initial Teacher Education (ITE) courses may not be consistently equipping preservice teachers with the necessary knowledge, dispositions, skills, and expertise to be responsive to EAL/D learners’ needs. This study analysed video-recordings of five practising EAL/D teachers responding to questions posed by ITE students from an Australian university. Using Fairclough's (2003) Critical Discourse Analysis (CDA) and a sociocultural lens, research results offer insights into knowledge and practical implications necessary for successful EAL/D student engagement in mainstream classrooms. This timely research presents five recommendations that will inform higher education institutions when developing ITE courses for preparing preservice teachers for culturally and linguistically diverse classrooms. Insights are shared for already practising mainstream classroom teachers.
Using teacher-researcher collaborations to respond to the demands of ‘real-world’ EAL/D learning contexts across the curriculum
Authors: Steele Carly , Dobinson Toni , Winkler Gerard
Published: November 2023

Despite the increasing levels of cultural and linguistic diversity represented in Australian classrooms, many universities do not adequately prepare teachers to teach English as an additional language or dialect (EAL/D). Moreover, in neoliberal educational regimes, teaching tends to remain steadfastly focused on monolingual conceptions of literacy development, and ‘evidence-based’ practices tend to reflect this stance. In this paper, we argue that due to the diversity and complexity of EAL/D learner cohorts, and current systemic constraints, teacher-researcher collaborations can be one avenue available to teachers to develop their knowledge and skills whilst simultaneously guiding future research. Drawing on ‘identity texts’ and arts-based approaches, we describe our collaboration with a teacher in a super-diverse primary school classroom setting to illustrate the ‘messiness’ of classroom research, the challenges, and the considerable opportunities to effectively respond to EAL/D learner needs whilst valuing and embracing their diverse linguistic repertoires.
Editorial: Teaching EAL/D learners across the curriculum
Authors: Veliz Leonardo , Bonar Gary , Premier Jessica
Published: November 2023

This Special Issue has two primary goals. Firstly, we aim to bring together diverse perspectives and voices from across Australia that showcase the remarkable efforts that teachers and educators are already doing to cater for the needs of EAL/D learners in schools and mainstream environments. Secondly, and while acknowledging these commendable efforts by educators, we argue that more work is needed to address the persistent challenges in providing tailored support that addresses the diverse linguistic and cultural backgrounds of EAL/D students. We acknowledge that catering for EAL/D learners’ needs in schools and mainstream classes involves more than just structural adjustments. It necessitates a paradigm shift in educational perspectives. Beyond the accommodation of linguistic diversity, there is a crucial need to challenge and disrupt dominant deficit views that may prevail in educational settings. The insights gathered from these articles illuminate the multifaceted and dynamic landscape of EAL/D education in Australia. They collectively underscore the necessity for an integrated approach that encompasses not only specialized pedagogies but also a deep understanding of the cultural and linguistic diversity present in our classrooms.
Redox evolution during arc magma differentiation revealed by mineral/melt Fe3+ and Fe2+ partitioning
Authors: Huang Fangfang , Wang Jintuan , Xiong Xiaolin
Published: November 2023

The oxidizing capacity of volcanic gases relies on both the redox state of the mantle and the redox evolution of mantle-derived magmas. Arc magmas transfer abundant volatiles from the mantle and undergo extensive differentiation before degassing. But how the magmatic redox state evolves during differentiation remains enigmatic. The redox evolution of a magma depends on the mineral/melt partition coefficients of Fe3+ and Fe2+ (DFe3+ and DFe2+). However, no systematic DFe3+ and DFe2+ are reported due to the difficulties in analyzing Fe3+ of silicate minerals. Here, we conducted hydrous experiments at 900−1100 °C and 1−2 GPa and determined systematically DFe3+ and DFe2+ using a novel method. With the obtained partition coefficients, we investigated the redox evolution by performing fractional crystallization modelling. The almost invariable redox state during arc magma differentiation implies an oxidizing mantle predated the Great Oxidation Event if it was triggered by the increasing oxidizing capacity of volcanic gases.
Determination of optimal machining strategy using trochoid geometry for micro-channel machining method
Authors: GÜNAYDIN Emre , Ozcelik Babur , Kuram Emel
Published: November 2023

The milling of micro-channels is a critical step in many of today’s electronics. In this study, the most appropriate trochoid geometry and machining strategy was determined for the milling of micro-channels. For the milling of the channel, various cutting direction strategies were used and 26 different geometries were created to figure out the best strate- gies. Using simulation results on four machines, which have different control units, the best geometry and NC output format were determined from each group with reference to the processing times. Experiments were carried out with a tool having a diameter of 0.8 mm. This tool cut a total of 3 channels of 1.2 mm width, 1 mm depth and 10 mm length. The channels were cut on DIN 2738 (40 CrMnNiMo8-6) material to determine optimum geometry by using the 4 geometries selected from the groups according to the simulation results. In current study, force, tool wear, geometric accuracy and surface roughness were evaluated. After the investigation, the appropriate trochoid geometry and machining strat- egy were determined. As a result, a reduction of about 67.5% was observed in the length of the tool path compared to the conventional method. In addition to the reduction in tool path length, the wear of the tool could be seen in the size of 20 µm*10 µm when viewed from the tool face profile.
Bioaerogels for Ultra-Broadband Perfect Acoustic Absorption
Authors: Wan Caichao , Chai Huayun , Shen Kuizhong , Li Xingong , Yang Yadong , Yuan Jianzhong , Cheng Wenjie , Yang Zhenxu , Zhou Zaiyang , Xie Yuzhong , Su Jiahui , Wei Song , Wu Yiqiang
Published: November 2023

Noise has become the world's second-largest environmental risk factor1-3. The simultaneous achievement of ultra-broadband and perfect acoustic absorption is a quite vital yet long-standing challenge4-11. Herein, we propose a new "gradient pore circulation (GPC)" strategy for building hierarchical ordered architecture of bioaerogels, by using highly active microfibers precisely dissociated from the wood S2 sublayer as basic units. The bioaerogels comprise anisotropic parallelly-layered microchannels, enriched with intricate multilevel pores within each layer, alongside abundant spring-shaped strips bridging these adjacent layers. Under the “GPC” strategy, the soundwaves effortlessly enter the parallelly-layered microchannels possessing moderate flow resistance, while the synergy of long microchannels, multilevel pores, and abundant interlamellar strips create plentiful closed loops, fostering a repetitive cyclic reflection‒friction‒dissipation of soundwaves. The bioaerogels achieve near-perfect acoustic absorption abilities, with a sound-absorption-coefficient of 0.95~1 across an ultra-broad frequency range of 520‒6300 Hz and a superb noise-reduction-coefficient of 0.82, the highest recorded to date. More importantly, the sound absorption properties retain almost unchanged at extreme temperatures (‒60~+60 ºC) over three months. The revolutionary bioaerogels hold great promise as sustainable sound absorption materials for diverse applications.
The Comparison of Placental Findings and Pregnancy Outcomes Before and During COVID-19 Pandemic
Authors: Waldon Christina , How Helen , Turnquest-Wells Mureena , Daniels Michael
Published: November 2023

Background: During the SARS-CoV-2 pandemic, pregnancy outcomes remain in question with relationship to individuals who tested positive for COVID-19. There is a plethora of evidence that pregnant people who become infected with the SARS-CoV-2 virus may be at increased risk for perinatal loss. These losses are believed to be due to the destruction of the placenta, which then deprives the fetus of oxygen.
Objective: This study aimed to compare placental findings and fetal outcomes between two 18-month periods, pre-COVID-19 and COVID-19, and to determine if there was an increase in abnormal placental findings and fetal complications during the COVID-19 period. The study hypothesized that pregnant individuals with COVID-19 positivity would have a higher risk of intrauterine fetal demise and FGR due to placental injury caused by the virus.
Study Design: The placental findings and fetal outcomes of 34,102 deliveries were retrospectively compared between two equal seasonal 18-month timeframes. The COVID-19 period was April 1, 2020, to September 30, 2021. The pre-COVID-19 period was April 1, 2018, to September 30, 2019, with a wash-out period of October 1, 2019, to March 31, 2020. Chi-squared statistical tests with odds ratios and 95% confidence intervals were used to contrast three placental findings and two fetal outcomes.
Results: The study found a significant increase in chorangiosis, chorioamnionitis, villitis, and FGR during the COVID-19 period compared to the pre-COVID-19 period. Additionally, there was a higher incidence of chorangiosis, chorioamnionitis, villitis, and marginally higher FGR in placentae from mothers with a history of COVID-19 infection compared to those without a positive test. There was no significant increase in intrauterine fetal demise among COVID-19-positive mothers.
Conclusion: The study concludes that antenatal testing is not warranted solely for positive COVID-19 infection without other comorbidities present because there was no significant increase in intrauterine fetal demise. However, the study found a rise in FGR among pregnant individuals with a positive COVID-19 test. We agree with the Society for Maternal-Fetal Medicine's recommendations that a repeat fetal growth ultrasound should be conducted four weeks after a positive COVID-19 test. We acknowledge that chorangiosis can occur due to other maternal comorbidities. In the absence of data regarding maternal demographics, we cannot conclude whether chorangiosis occurred due to COVID-19 or other conditions.
Adenocystitis with concomitant Crohn's disease leading to an outbreak of Crohn's disease with ulcerated external iliac vessels
Authors: Ronghua Wu , Ji Zheng , Gang Liu , Yun Zhang , Xubiao Nie
Published: November 2023

We report a case of a young 36-year-old female patient who presented to our hospital with a diagnosis of adenocystitis presenting as a vesicovaginal fistula after cystoscopic biopsy at a local hospital because of ineffective anti-inflammatory urinary frequency and urgency and pain. The patient underwent laparoscopic vesicovaginal fistula repair after cystoscopy confirmed a vesicovaginal fistula and postoperatively developed a Crohn's disease outbreak with multiple small bowel fistulas and erosion of the external iliac vessels that ruptured to form an external iliac vessel small bowel fistula. The case was confirmed by surgical exploration, and the patient eventually died.
Global patterns of nitrogen saturation in forests
Authors: He Nianpeng , Cen Xiaoyu , Sundert Kevin Van , Terrer César , Yu Kailiang , Li Mingxu , Xu Li , He Liyin , Butterbach-Bahl Klaus
Published: November 2023

Since the industrial revolution, accelerated atmospheric nitrogen (N) deposition by human activities have increased N availability in forest ecosystems close to human settlements, potentially causing many nitrogen-limited forests to become nitrogen-saturated, with significant effects on productivity, biodiversity, and biogeochemical cycles. Four decades after recognizing the N saturation problem, however, global patterns of N saturation in forests still remain uncertain. In N-saturated forests, oversupply of N leads to higher N losses including those in form of N2O as compared to N-limited forests, suggesting that the sensitivity of soil N2O emission to N deposition (sN) might be used as an indicator of N saturation. In this study, we modeled the sN of global forests using data from N addition experiments. Testing with field observations on N saturation status, the global patterns of N-limited and N-saturated forests indicated by sN show an accuracy above 70% on global and geographic-regional scales. Our results suggest that 43% of global forests are N-saturated, and the proportions of forests being N-saturated are particularly high in East Asia and Western Europe (over 60%). The produced global map of N-saturated forests sheds light on the spatially varying N availability in forests, which founds a basis for predicting the influence of changing N deposition on forest greenhouse gas emissions and productivity, facilitating optimized environmental management practices for different regions.
Deriving an efficient and stable microenvironment for a CO2 MEA electrolyzer by reverse osmosis
Authors: Oh Hyung-Suk , Park Jaeyong , Kim Eung-Dab , Kim Sangkuk , Lim Chulwan , Kim Hyunchul , Ko Young-Jin , Choi Jae-Young , Lee Woong Hee
Published: November 2023

In a membrane electrode assembly (MEA) electrolyzer based on a cation exchange membrane, achieving an efficient and stable CO2 reduction reaction (CO2RR) is challenging because the transport of protons, cations, and electroosmotic water from the anode changes the balance of ions. Herein, we derived a microenvironment for stable and efficient CO2RR performance using two strategies. First, mixture of carbon and anion- exchange ionomer buffer layers is used to hold cations while managing water in local alkaline media. The second strategy involves pressurizing only the cathode side, resulting in a high local CO2 concentration and enhanced the reverse osmosis phenomenon. The synergistic effects of these two strategies create an efficient microenvironment by managing water and cations, leading to stable and efficient CO2RR operation. Our approach to utilize reverse osmosis to balance cations and water is viable for industrial applications because pressurized CO2 and MEA systems are efficient processes that can be commercialized.
Efficacy of Whole-Brain Radiotherapy Plus Simultaneous Integrated Boost (SIB-WBRT) for brain metastases
Authors: BI Qian , LIAN Xin , SHEN Jing , ZHANG Fuquan , Xu Tao
Published: November 2023

Objective: To investigate the outcomes of SIB-WBRT in patients with brain metastases and analyze the impact of some factors on prognosis.
Methods: This single-arm retrospective study analyzed patients with brain metastases treated with received SIB-WBRT (40 Gy/20 doses of whole brain tissue and tumor tissue pushed to 56-60 Gy/20 doses) at Peking Union Medical College Hospital from September 2015 to December 2021. The primary endpoint was intracranial progression free survival (iPFS). Secondary endpoints included overall survival (OS), intracranial new foci, and tumor control. The Kaplan-Meier method was then used to depict and estimate iPFS, OS, intracranial new incidence, and tumor control. Finally, the Cox model was used to analyze the association between some relevant factors and outcomes.
Results: A total of 107 patients were included and the median iPFS in these patients treated with SIB-WBRT was 13.4 (95% CI: 4.2-22.6) months, with 66.3% (95% CI: 56.0%-77.0%) and 48.5% (95% CI: 36.0%-61.0%) iPFS at 6- and 12-months. The median local control was 37.6 (95% CI: 28.3-46.8) months, with local control rates of 83.9% (95% CI: 80.0%-88.0%) and 72.6% (95% CI: 67.0%-78.0%) at 6- and 12-months. The median time to appearance of new intracranial foci was 17.4 (95% CI: 17.1-20.8) months, and the 6- and 12-month control rates were 72.6% (95% CI: 62.0%-83.0%) and 58.8% (95% CI: 46.0%-72.0%). The number of brain metastases in patients before treatment was significantly associated with iPFS (HR=0.4, 95% CI: 0.1-0.9, P=0.0430).
Conclusions: The iPFS, local control, and intracranial new foci of patients with brain metastases after treatment with SIB-WBRT were acceptable. In addition, the number of brain metastases in patients before treatment may be associated with iPFS.
RETRACTED: Antifungal activity, synergism with fluconazole or amphotericin B and potential mechanism of direct current against Candida albicans biofilms and persisters
Authors: Luan Qingxian , Zou Peihui , Liu Jia , Li Peng
Published: November 2023

The authors have requested that this preprint be removed from Research Square.