bluuebunny/crossref_metadata_2025_split huggingface dataset:
De invloed van het Aarhus Verdrag op de WAMCA
Authors: Peters F.M. , Brouwer D.R. , Nilwik N.C. 
Published: September 2023

De invloed van het Aarhus Verdrag op de WAMCA
Sinds 2020 geldt het WAMCA-regime voor collectieve en algemeen belangacties. Rechters kunnen ontvankelijkheid van belangenorganisaties sindsdien strenger toetsen. Tezelfdertijd lijkt de burgerlijke rechter vaker te worden aangezocht voor beoordeling van maatschappelijke kwesties. Centraal in deze bijdrage stellen de auteurs de vraag hoe een strenger ontvankelijkheidsregime zich verhoudt tot het Aarhus Verdrag uit 1998, dat toegang tot het recht voor milieuorganisaties beoogt te beschermen. Op grond van dat verdrag en jurisprudentie- en literatuuronderzoek wordt toegelicht dat de WAMCA niet geheel en niet streng mag worden toegepast op milieuorganisaties. De auteurs betogen dat het wenselijk is door wetswijziging de WAMCA in lijn te brengen met dit verdrag.
STRATEGI GURU PAI DALAM MELAKSANAKAN PEMBELAJARAN BERBASIS PENELITIAN TINDAKAN KELAS PADA SDN PERCONTOHAN TOLITOLI
Authors: Ni’mah Wahyuni  
Published: September 2023

This study discusses the PAI Teacher's Strategy in carrying out Classroom Action Research-based learning. This study aims (1) to find out how the PAI teacher's strategy is in carrying out Classroom Action Research-based learning at Tolitoli Pilot Elementary School, (2) to find out the inhibiting and supporting factors for implementing Classroom Action Research at Tolitoli Pilot Elementary School. The main problems studied in this research are; what is the PAI teacher's strategy in carrying out Classroom Action Research-based learning at Tolitoli Pilot Elementary School, the supporting and inhibiting factors for implementing Classroom Action Research at Tolitoli Pilot Elementary School.
This research is a qualitative descriptive research using the approach; pedagogical. The data sources in this study were: (1) school principals (2) Islamic Religious Education teachers and TU as complementary data. Data was collected using techniques, interviews, observation and documentation. The collected data is then processed and analyzed in three ways: data reduction, data display, verification or conclusion.
As the implications of research. PAI teachers can always conduct Classroom Action Research in order to improve the quality of learning both in class, themselves and others and can improve their professionalism as a teacher. finding solutions to solving teacher learning in the classroom.
Lecturer Professionalism Development Program Strategy
Authors: Rohman Abdul , Ulfatin Nurul , Arifi Imron , Imron Ali , Salim Nur Agus 
Published: September 2023

Purpose: This research aims to describe the strategy for the lecturer professionalism development program using a multi-case design.

Design/Methodology/Approach: The data was collected using interviews, observation and documentation. Informants in this study were members of the university senate, chancellors, vice-chancellors, leaders and secretaries of quality assurance institutions, and heads and secretaries of research and community service institutions. Data analysis was carried out through individual case data analysis and across cases.

Findings: The results of this study indicate that the strategy used by the university in the lecturer development program boils down to the university's long-term strategic plan (rastra); there is an institution in charge, forming a group of areas of expertise, there is a guidebook for managing lecturers, and has a philosophy as the spirit of development education. Development in education and teaching is carried out through sending doctoral programs further studies, mentoring/assistance, pedagogical training, foreign language training, other supporting training, and training in the integration of science and religion. In the field of research, qualitative and quantitative research training is carried out, forming orientations for the development of research fields, research schemes, classification and funding. In the service sector, lecturer development is done through debriefing and forming community service-based services.
Identifying the Level of Sustainability of Arabica Coffee Farming: Insights from Three Districts of Ainaro, Ermera, and Liquisa in Timor-Leste
Authors: Gomes Lucio Marcal , Ali Muhammad Saleh S. , Ala Haji Ambo , Salman Darmawan 
Published: September 2023

Objective: analyze the sustainability of Arabica coffee farming in the three districts of Ainaro, Ermera, and Liquisa.

Theoretical framework: This review examines tourism as a comprehensive, multidimensional activity involving travelers, local communities, governments, and entrepreneurs. Indonesia's Law No. 10 of 2009 underscores its pivotal role in economic growth, poverty reduction, cultural preservation, and international collaboration (Sharma et al., 2008; Frey & George, 2010; GhulamRabbany et al., 2013; Ibnou-Laaroussi et al., 2020; Raftopoulos, 2020).

Method/design/approach: This research was conducted in nine sub-districts which took place in three districts from January 2021 to January 2022. Sampling/respondents were taken randomly from as many as 180 farmers. The data obtained were analyzed using the Multi-dimensional Scaling (MDS) purposive sampling approach, namely the development of farming is less profitable for farmers because the income per month for arabica coffee is approximately U$. 140.98 and for Arabica coffee (stem) income per month is U$. 439,68, which is far below the Ermera district Timor Leste Minimum Wage (MW) of US$. 243.55 per month.

Results and conclusion: Development of natural and organic arabica coffee farming based on 6 (six) namely ecological dimension, economic dimension, socio-cultural dimension, clean energy technologies, unsustainable legal and institutional dimension.

Research implications: The implications of the above study highlight the challenges faced by farmers in the sub-districts and districts under examination during the period from January 2021 to January 2022. These findings indicate that agricultural development, particularly in the cultivation of arabica coffee, results in less profitable income for the farmers. As such, this research reveals the financial difficulties experienced by farmers in the context of arabica coffee cultivation. The implication is the need for strategies and concrete steps to enhance the profitability of coffee farming and improve the well-being of the farmers. This may involve efforts to increase productivity, improve access to better markets, or implement more profitable agricultural practices. Through these means, it is hoped that the economic well-being of the local farming community can be elevated.
Educational prerequisites to ensure the use of students’ reflection practice in the learning process
Authors: Jurs Pavels , Spehte Elita , Samusevica Alida , Kulberga Inta 
Published: September 2023

Purpose: The objective of this study is to analyse the relationship between teachers and the pedagogical requirements of the learning process that ensure that students use reflective practice in the learning process by studying the theoretical framework of the concept of reflection.
Design/Methodology/Approach: A phenomenological research design was chosen which is based on the paradigm of humanistic research. The method of inductive content analysis was chosen for the analysis of qualitative data.
Findings: The empirical findings of the research indicate that setting goals is essential for the reflection process. Students must actively participate in the process by focussing on, evaluating and applying critical thinking to specific content in order to achieve those goals.
Conclusion: The study highlights the importance of reflection activities in the learning process which allow students to base their decisions on their previous experiences, choose and verify the correctness of learning concepts, focus on growth, improve research skills and create new experiences. Teachers need to incorporate this into practice by actively involving students in the learning process to facilitate the reflection process.
Practical Implication: The result indicates that reflection practice is crucial in the learning process. Teachers need to incorporate this into a practice that allows the students to be actively involved in the learning process and take responsibility for their progress.
Cost-Effectiveness and Return on Investment Analysis of an In-house HemosIL Heparin-Induced Thrombocytopenia Antibody Assay at a Mid-Sized Institution
Authors: Raymond Caitlin , Dell'Osso Liesel , Golding Charles , Zahner Christopher 
Published: September 2023

Context.—
Laboratories face the challenge of providing quality patient care while managing costs and turnaround times (TATs). To this end, we brought the heparin-induced thrombocytopenia (HIT) antibody test in-house with the goal of reducing costs and the time to diagnosis.

Objectives.—
To determine the cost-effectiveness and return on investment of our in-house HIT antibody test by comparing it to send-out assays with TATs of 2, 3, or 4 days.

Design.—
We performed a retrospective chart review of all patients with a HIT antibody assay and analysis of laboratory financial records. Analysis included the percentage of patients receiving alternative treatment, cost of treatment, startup costs of bringing the test in-house, and average TAT of the in-house test.

Results.—
We found significant reductions in the cost of treatment for patients and the overall cost to the health care system. The in-house assay became cost-effective at between 8 and 20 tests, with a return on investment of up to 298%.

Conclusions.—
Bringing the HIT antibody assay in-house becomes cost-effective at a very low test volume with excellent return on investment. This novel analysis can provide a framework for other laboratory medicine professionals to analyze the benefits of bringing this and other assays in-house.
Emotional Classification Based on Facial Expression Recognition Using Convolutional Neural Network Method
Authors: Setiaji Arif Pami , Firmansyah Gerry , Akbar Habibullah , Tjahjono Budi , Widodo Agung Mulyo 
Published: September 2023

In recent years, the development of human-computer interaction technology has reached remarkable levels, particularly in the field of facial expression recognition. This technology utilizes human facial images to identify and classify emotional expressions such as happiness, sadness, fear, and more through computer image processing. Active research in facial expression recognition yields substantial benefits for individual and societal advancement, especially in the context of its application within Smart City environments. This study demonstrates that well- configured Convolutional Neural Network (CNN) models empowered by TensorFlow exhibit higher accuracy compared to models utilizing PyTorch. The TensorFlow model achieves the highest accuracy of 93% in recognizing emotional expressions, whereas the PyTorch model achieves 69% accuracy. The TensorFlow model also displays lower accuracy loss and shorter training times compared to the PyTorch model. In the context of calculating happiness indices within Smart City environments, the appropriate choice of technology significantly influences measurement accuracy and efficiency. Therefore, the TensorFlow platform, proven to deliver superior performance in this study, can be a strategic choice for integrating facial expression detection technology into happiness index measurements in such locations
A Self‐Renewing Biomimetic Skeletal Muscle Construct Engineered using Induced Myogenic Progenitor Cells
Authors: Kim Inseon , Lee Seunghun S. , Ghosh Adhideb , Ferguson Stephen J. , Bar‐Nur Ori 
Published: September 2023

AbstractSkeletal muscle represents a highly organized tissue that primarily regenerates by myogenic stem cells. Mimicking an in vitro skeletal muscle differentiation program that contains self‐renewing muscle stem cells and aligned myotubes is considered challenging. This study presents the engineering of a biomimetic muscle construct that can self‐regenerate and produce aligned myotubes using induced myogenic progenitor cells (iMPCs), a heterogeneous culture consisting of skeletal muscle stem, progenitor, and differentiated cells. Utilizing electrospinning, polycaprolactone (PCL) substrates are fabricated to facilitate iMPC‐differentiation into aligned myotubes by controlling PCL fiber orientation. Newly‐conceived constructs contain organized multinucleated myotubes alongside self‐renewing stem cells, whose differentiation capacity is augmented by Matrigel supplementation. Furthermore, this work utilizes single‐cell RNA‐sequencing (scRNA‐seq) to demonstrate that iMPC‐derived constructs faithfully recapitulate a step‐wise myogenic differentiation program. Notably, when subjected to a damaging myonecrotic agent, self‐renewing stem cells rapidly differentiate into aligned myotubes within the constructs, akin to skeletal muscle repair in vivo. Finally, this study demonstrates that the iMPC derivation protocol can be adapted to engineer human myoblast‐derived muscle constructs containing aligned myotubes, showcasing potential for translational applicability. Taken together, this work reports a novel in vitro system that mirrors myogenic regeneration and skeletal muscle alignment for basic research and regenerative medicine.
Novel Diffusion‐Regulated Layering Methodology to Improve Blend Miscibility and Thermal Stability of Organic Photovoltaics
Authors: Lee Chihyung , Jo Hyeon‐Yeong , Nam Minwoo , Hong Janghee , Kim Gyu‐Hee , Lee Hyun Hwi , Kim Jehan , Chang Rakwoo , Ko Doo‐Hyun 
Published: September 2023

AbstractExtensive research on bulk‐heterojunction (BHJ) optimization has advanced organic photovoltaics (OPVs). However, the need for research addressing the issue of morphological instability and ensuring long‐term durability remains a priority. Herein, a diffusion‐governed morphological modification methodology via a sequential deposition (SD) process comprising ternary components with low miscibility is demonstrated. Sequential coating of a high glass transition temperature (Tg) material and a host binary blend induces a concentration difference between successively coated layers, allowing for effective blending of immiscible materials during solvent evaporation. The enhanced miscibility of the SD‐processed BHJ layer facilitates molecular interactions between the high Tg material and the host materials, thereby increasing the Tg of the BHJ blend. The SD‐processed OPVs exhibit superior photovoltaic performance and suppressed glass transition under thermal stress compared to reference OPVs fabricated via a conventional method. After 500 h of thermal aging at 85 °C, the SD‐BHJ OPV retains over 80% of its initial efficiency, whereas the reference device shows a drastic drop to below 80% of its initial efficiency after only 80 h. This study provides a step toward efficient, long‐term stable OPVs by overcoming the limitations of blend miscibility and poor thermal durability of conventional BHJ systems via a SD process.
Electrocatalytic Water Oxidation Activity‐Stability Maps for Perovskite Oxides Containing 3d, 4d and 5d Transition Metals
Authors: Liang Xiao , Yan Wensheng , Yu Yinglong , Zhang Kexin , An Wei , Chen Hui , Zou Yongcun , Zhao Xiao , Zou Xiaoxin 
Published: September 2023

AbstractImproving catalytic activity without loss of catalytic stability is one of the core goals in search of low‐iridium‐content oxygen evolution electrocatalysts under acidic conditions. Here, we synthesize a family of 66 SrBO3 perovskite oxides (B=Ti, Ru, Ir) with different Ti : Ru : Ir atomic ratios and construct catalytic activity‐stability maps over composition variation. The maps classify the multicomponent perovskites into chemical groups with distinct catalytic activity and stability for acidic oxygen evolution reaction, and highlights a chemical region where high catalytic activity and stability are achieved simultaneously at a relatively low iridium level. By quantifying the extent of hybridization of mixed transition metal 3d‐4d‐5d and oxygen 2p orbitals for multicomponent perovskites, we demonstrate this complex interplay between 3d‐4d‐5d metals and oxygen atoms in governing the trends in both activity and stability as well as in determining the catalytic mechanism involving lattice oxygen or not.
Exploring the intensifying effect of periodate/hydroxylamine oxidation process for the effective mineralization of textile dyes effluents with consideration of environmental matrices
Authors: Belghit Aouattef , Merouani Slimane , Dehane Aissa 
Published: September 2023

AbstractThis study delved into the potential of periodate/hydroxylamine process (PI/HA) as an efficient method for the degradation and mineralization of textile dyes. The PI/HA process generates a range of reactive oxygen species (ROS), which can degrade organic pollutants. The effects of processing conditions, common minerals, organic components, including humic acid and surfactants, and various real environmental matrices, i.e. deionized water, seawater, natural mineral water and treated wastewater effluent, on the PI/HA process efficiency were examined. The results showed that the PI/HA process could remove over 50% of initial dyes concentration in just 10 s, with 80% removal achieved at 10 min using a PI/HA molar ratio of 1 (1.5/1.5 mM). Further adjustments could result in 100% removal in less than 5 min. The process efficiently abated organic matter, with total organic carbon (TOC) reductions exceeding 80% at 60 min and ~90% at 120 min. Radical scavengers showed that •OH played a dominant role (~76%), while 1O2 contributed to a lesser extent (~8.5%). The degradation was more efficient at lower pH, a higher PI to HA molar ratio. The process was unaffected by low concentrations of common mineral anions and surfactants. Higher degradation levels were observed in natural mineral water and seawater.
An adaptive feedback regulation method of wireless power transfer systems for compensating battery‐based source's fluctuations
Authors: Zhang Qiye , Cai Changsong , Zhao Yanpu , Wang Junhua , Zhang Fan , Luo Yang , Wu Xi 
Published: September 2023

SummaryThis article proposes an adaptive feedback regulation method for wireless power transfer (WPT) systems, which can be applied to solve the problem of the drop in input voltage from the emergency power supply such as a battery‐based source. The whole WPT system transfers power mainly through the mutual inductance between the transmitter and receiver coils. The compensation coils are accessed to form the power feedback side, which can achieve constant voltage output by adjusting the duty cycle of the DC/DC converter. Furthermore, the finite element simulation result analyzes the constant voltage output characteristics of the proposed topology under different load conditions. Finally, an 85 kHz prototype based on the proposed method is built and tested to verify the performance and effectiveness of the design. The proposed method achieves a constant 48 V output when the load varies from 60 to 120 Ω and the horizontal offset distance varies from 20 to 80 mm.
Performance of polar codes with low complexity cyclic redundancy check aided bit‐flipping for successive cancellation list decoding over power line channels
Authors: Zhou Yu , Li Yue , Zhao Shuangshuang , Gao Fan , Zhou Chao , Mu Zhuowen 
Published: September 2023

SummaryPower lines have complex transmission characteristics and noise interference when used as information transmission channel, thus limiting their data‐carrying rate and reliability. Impulsive noise is the most dominant factor degrading the performance of communication systems over power lines. To combat the impulsive noise, polar codes are introduced into the orthogonal frequency division multiplexing (OFDM)‐based power line communication (PLC) system. Because the successive cancelation list bit‐flip (SCLF) decoding algorithm of polar codes has high decoding complexity, a low complexity segmented cyclic redundancy check (CRC)‐aided SCLF decoding is proposed to improve the decoding performance. The decoding process can be terminated early with segmented CRC, which can reduce the bit‐flip decoding complexity significantly with short and medium block lengths. Experimental results demonstrate that for various configurations, the proposed decoder outperforms the traditional CRC‐aided SCL decoder in terms of decoding performance and complexity, and the suggested polar codes‐based OFDM‐based PLC system can reduce the bit error rate of the system in the presence of impulsive noise.
Study on the dielectrophoretic characteristics of malaria‐infected red blood cells
Authors: Panklang Nitipong , Vijitnukoonpradit Kitipob , Putaporntip Chaturong , Chotivanich Kesinee , Nakano Michihiko , Horprathum Mati , Techaumnat Boonchai 
Published: September 2023

AbstractMalaria is a tropical disease caused by parasites in the genus Plasmodium, which still presents 241 million cases and nearly 627,000 deaths recently. In this work, we used the dielectrophoresis (DEP) to characterize red blood cells in a microchannel. The purpose of this work is to determine the difference between the normal and the malaria‐infected cells based on the DEP characteristics. The samples were infected cells and normal red blood cells, which were either prepared in culture or obtained from volunteers. Diamond‐shaped and curved micropillars were used to create different degrees of DEP in the gap between them. The DEP crossover frequencies were observed with the diamond‐shaped micropillars. The cell velocity under negative dielectrophoresis (nDEP) at a low frequency was examined with the curved micropillars. The measured lower crossover frequencies were remarkably different between the malaria‐infected cells and the normal cells, whereas the higher crossover frequencies were similar among the samples. The velocity under nDEP was lower for the infected cells than the normal cells. The results imply that the malaria infection significantly decreases the capacitance but increases the conductance of the cell membrane, whereas a change in cytoplasmic conductivity may occur in a later stage of infection.