bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penyerapan Karbon Pada Vegetasi Lamun Di Pantai Legon Bajak Pulau Kemujan, Taman Nasional Karimunjawa
Authors: Rahmadanti Karla Lutfia , Santosa Gunawan Widi , Pramesti Rini 
Published: August 2023

Gas karbondioksida yang tinggi di atmosfer dapat memicu pemanasan global. Upaya mitigasi diperlukan untuk mengurangi dampak buruk, salah satunya dengan pemanfaatan lamun sebagai penyerap karbon yang dikenal dengan blue carbon. Penelitian ini bertujuan mengetahui estimasi biomassa dan kandungan karbon pada vegetasi lamun di Pantai Legon Bajak Pulau Kemujan, Taman Nasional Karimunjawa. Penelitian dilakukan pada 28 – 29 November 2021 dengan dua stasiun. Analisis vegetasi dilakukan menggunakan metode line transect quadrant, yang mengacu pada buku Panduan Monitoring Padang Lamun LIPI. Pengambilan sampel lamun menggunakan seagrass core. Biomassa lamun terbagi menjadi bagian atas substrat (daun) dan bawah substrat (akar dan rhizoma). Nilai biomassa lamun ditentukan melalui berat kering dari dengan cara pengeringan. Nilai kandungan karbon diperoleh melalui metode LOI (Loss of Ignition) atau pengabuan kering.Hasil penelitian diperoleh 5 jenis lamun, antara lain Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, Halophila ovalis dan Halodule uninervis. Kondisi padang lamun tergolong memiliki penutupan sedang. Nilai biomassa yang terdapat di bawah substrat (585 g/m2) lebih besar dibandingkan yang terdapat di atas substrat (346,73 g/m2), diikuti dengan kandungan karbon di bawah substrat (182,54 gC/m2)yang lebih besar dibandingkan atas substrat (119,43 gC/m2). Vegetasi lamun di lokasi penelitian berpotensi menyimpan karbon sebesar 301,97 gC/ m2. The high level of carbondioxide gas in the atmosphere can trigger global warming. Mitigation efforts are needed to reduce adverse impacts, such as by the optimization of seagrass as a carbon sink which is known as blue carbon. This study aims to determine the estimation of biomass and carbon content in seagrass vegetation at Legon Bajak Beach, Kemujan Island, Karimunjawa National Park. The research was conducted on 28 – 29 November 2021 at two stations. Vegetation analysis was conducted by using the line transect quadrant method, which refers to the LIPI Seagrass Monitoring Guidebook. Seagrass sample was collected by using seagrass core. Seagrass biomass is divided into above substrate (leaves) and below substrate (roots and rhizomes). The value of seagrass biomass was determined through dry weight by drying process in the oven. The value of carbon content in seagrasses is obtained through the LOI (Loss of Ignition) method or dry ignition.The results o the study obtained 5 species of seagrasses, including E. acoroides, T. hemprichii, C. rotundata, H. ovalis and H. uninervis. The condition of seagrass meadows is classified as having moderate cover. The value of the biomass below substrate (585 g/m2) is greater than the value of biomass above the substrate (346.73 g/m2), followed by the value of carbon content below the substrate (182.54 gC/m2) which is greater than above substrate (119.43 gC/m2). Seagrass vegetation in the study site has the potential to store 301.97 gC/m2 of carbon.
Consumer Trust as a Mediator of the Link Between Promotional Mix and Customer’s Decision to Use Cellular Phone Service
Authors: Al-Qadasi Ahmed , Karim Fazida 
Published: August 2023

Customer’s (use) purchasing decision making have the crucial point of several marketing decision-makers in all type of businesses. Studies have suggested that ambiguity still exist in terms of variables capable of enhancing the indirect link between the promotional mix (PM) and customer’s purchasing (use) decision, specifically in the cellular communication sectors of most of the developing countries. This study is an attempt to explore the link between promotional mix (PM), consumer trust, and customer use decisions in the context of Yemen cellular communications sector. The hierarchy of effects theory is used as underlying theory, and quantitative cross-sectional survey method with questionnaire were used in collecting data. The random sampling method was used in distributing the questionnaire to 382 respondents . The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used in analyzing the data. The result shows that promotional mix and customer trust has significant and positive effect on customer use decisions, and customer trust mediate the link between promotion mix and customer use decisions. Finally, the study provided some useful suggestions for future studies.
Influence of Residential Internet Access and Patented Innovation on U.S. Non-store Retail Industries’ Employment
Authors: Khan Abdullah 
Published: August 2023

This paper studies employment trends of the U.S. nonstore retail industries at multi-jurisdictional levels (States, Census Regions, Census Division, and the nation) for years 2001 through 2021. The nonstore retail industry is a growing subsector of the overall retail industry. With no or skeletal ‘brick- and-mortar presence’, nonstore retailers are poised for leveraging information and communication technologies and innovations from the inception of their business operations. With the need for scaling up in the backdrop of limited or zero ‘on-site’ customer-interactions, the nonstore retailers are inclined to find novel ways to interact and transact with existing and prospective customers. As more and more brick-and-mortar stores begin to offer electronic shopping opportunities from their web-based stores, traditional nonstore retailers face steeper competition. Utilizing panel data regressions this paper explores marginal impacts of residential internet access, patented innovations, and other fiscal and macroeconomic variables on nonstore retail industry (NAICS Code 454). The regression results suggest that residential internet access is a positive influence on both nonstore retail employment and number of nonstore retail entities. The results also suggest that utility patents and design patents are positive factors for growth of nonstore retail industry’s employment and business entities.
Supporting first-year students in learning molecular orbital theory through a digital learning unit
Authors: Hauck David Johannes , Steffen Andreas , Melle Insa 
Published: August 2023

Abstract
A large number of chemistry students drop out of their studies, often because of high requirements for content knowledge. Quantum chemical models of atomic bonding such as molecular orbital (MO) theory are particularly challenging. We aimed to develop an intervention on MO theory based on the Computer-Supported Collaborative Learning framework. First, students work independently with interactive learning videos. Then, they create concept maps about core concepts of MO theory. In this paper, we present the evaluation of this intervention in terms of content knowledge, considering person-specific characteristics. Additionally, we compare three different treatment groups with varying materials and group arrangements, and prospective chemistry teachers with other first-year students. Our results show that students can answer single-choice questions well with the prior knowledge from their first-year chemistry course. Answering open-ended questions is more difficult. Nevertheless, they can improve significantly in both categories by working with the learning videos; creating concept maps does not lead to significant content knowledge changes. There are also no significant differences between the three treatment groups, or between teacher students and other chemistry freshmen. Regarding prior knowledge, differences depending on gender and school-leaving grades can be measured, whereas the choice of courses in school has no effect.
Lipid-based nanoparticles for cancer immunotherapy
Authors: Fan Shumin , Han Huize , Yan Zhicheng , Lu Yao , He Bing , Zhang Qiang 
Published: August 2023

Abstract
As the fourth most important cancer management strategy except surgery, chemotherapy and radiotherapy, cancer immunotherapy has been confirmed to elicit durable antitumor effects in the clinic by leveraging the patient’s own immune system to eradicate the cancer cells. However, the limited population of patients who benefit from the current immunotherapies and the immune related adverse events hinder its development. The immunosuppressive microenvironment is the main cause of the failure, which leads to cancer immune evasion and immunity cycle blockade. Encouragingly, nanotechnology has been engineered to enhance the efficacy and reduce off-target toxicity of their therapeutic cargos by spatiotemporally controlling the biodistribution and release kinetics. Among them, lipid-based nanoparticles are the first nanomedicines to make clinical translation, which are now established platforms for diverse areas. In this perspective, we discuss the available lipid-based nanoparticles in research and market here, then describe their application in cancer immunotherapy, with special emphasis on the T cells-activated and macrophages-targeted delivery system. Through perpetuating each step of cancer immunity cycle, lipid-based nanoparticles can reduce immunosuppression and promote drug delivery to trigger robust antitumor response.
“Las células se dibujan a mano alzada”. Construcción de contenidos biológicos en cursos digitales
Authors: Montero Vargas Rene , Zambrano Montilla Jeniffer 
Published: August 2023

Objetivo: Este artículo de investigacion busca identificar formas en que sucede la construcción de conocimientos biológicos entre estudiantes que desarrollan programas de formación en cursos digitales. Metodología: Se asume una perspectiva etnográfica digital y de análisis del discurso sobre datos empíricos tomados directamente de los foros de trabajo de cada una de las actividades donde interactuaron los estudiantes y sus docentes. Resultados: Los análisis permiten señalar que la construcción disciplinar en el caso de los ambientes digitales se sustentó principalmente en reproducción de modelos, comparaciones y resolución de problemas, estrategias que se comparten con procesos educativos presenciales; lo cual da lugar a cuestionamientos frente al asumir el carácter innovador de los procesos educativos digitales por el solo uso de tecnologías. Conclusiones: En este estudio se resalta un llamado desde la investigación educativa a conitnuar indagando el aporte de la incorporación de tecnologías en procesos formativos frente al manejo disciplinar, aspecto que, desde la perspectiva de esta investigación, aún requiere mayores análisis.
Producción de video de divulgación científica como profundización de aula magistral en medicina
Authors: Triana Vidal Luz Elena , Suaza Frank , Jaramillo Diana , Guerrero Alejandro 
Published: August 2023

Resume
Objetivo general: El presente escrito pretende compartir dos experiencias, la primera en febrero del año 2019 y la segunda en junio de 2022; donde se articula la clase magistral, la resolución de problemas basado en evidencia y la elaboración de contenido audiovisual en torno al desarrollo de las siguientes preguntas ¿Por qué es tan difícil encontrar una vacuna en malaria? y ¿Qué síntomas son relevantes en el diagnóstico de enfermedades tropicales?
Metodología: La didáctica inicia con conceptos expuestos en clase magistral, planteamiento de manera grupal de una pregunta problema y resolución mediante evidencia bibliográfica, para finalmente ser divulgada como video en youtube o tick tock.
Resultados: En el año 2019, se divulgó el contenido audiovisual en el canal youtube, en el programa ¿sabías que? de la institución: https://youtu.be/Fno8xrEF-DY.En el año 2021, los estudiantes crearon y desarrollaron el video de tick tock https://www.tiktok.com/@medicinagrupoa1/video/7108368724423494918?is_from_webapp=1&sender_device=pc&web_id=7121711221762229765
Conclusiones: La elaboración del video permite que los estudiantes fortalezcan capacidades como: trabajo en equipo, toma de decisiones, análisis, síntesis y autocrítica; ya que deben evaluar los posibles perjuicios de utilizar vocabulario científico impreciso y reforzar continuamente los conceptos desarrollados en clase, para lograr sintetizar sus conocimientos y expresarlos en el breve tiempo que dura el video.
Palabras clave: Enseñanza en medicina, pregunta problema, resolución basado en evidencia, video, tik tok, youtube, apropiación del conocimiento.
On the Relationship of Iranian EFL Learners’ Engagement and Self-regulation with Their Learning Outcomes
Authors: Ghelichli Yahya , Seyyedrezaei Seyyed Hassan , Seyyedrezaei Zari Sadat 
Published: August 2023

Background. Language learning is a long and tedious process and some students may lose their initial interest, so their learning achievement might in turn decrease. Student engagement and self-regulation can be seen as influential in helping them to restore their enthusiasm and motivation. Engagement can assist students to be actively involved in their school work in order to become more motivated and interested in language learning. Further, self-regulation also seems to contribute to have students regulate their learning behavior and engagement, which could possibly play a role in their learning outcomes.
Purpose. The purpose of this study was thus to investigate the relationships of self-regulation and student engagement with learning outcomes.
Method. The participants, selected through convenience sampling, included 146 language learners learning English at the Iran Language Institute (ILI) Gorgan, Iran. They were given two questionnaires and a language proficiency test.
Results. The obtained data were analyzed by using SPSS, version 26. The results of Spearman’s rho correlation tests indicated that there were statistically significant relationships of self-regulation and student engagement with learning outcomes, with student engagement having a stronger association with learning outcomes. Moreover, student engagement as a global construct was a better predictor of learning outcomes.
Conclusion. Since student engagement is comparatively new in the realm of language education, the findings can contribute to our understanding of its role in learning outcomes. Besides, the results have pedagogical implications for language learners and language teachers alike.
An Investigation into the Effect of Problem-based Learning on Learners’ Writing Performance, Critical and Creative Thinking Skills
Authors: Helaluddin Helaluddin , Mannahali Misnah , Purwati Duwi , Alamsyah Alamsyah , Wijaya Hengki 
Published: August 2023

Research Background: In addition to mastering writing skills, students must also be able to develop critical and creative thinking skills. These two skills play an important role so that students can survive and compete in the world of work in the era of the industrial revolution 4.0.
The gap in Knowledge and Purpose of the Study: Although there have been many experimental studies using problem-based learning in learning to write, the existing research is still inadequate in exploring the impact of this model on writing performance and critical and creative thinking skills.
Method: This study uses a sequential mix-method design that combines quantitative and qualitative data collection and analysis techniques. The participants of this study were students from the Islamic Banking Study Program at UIN Sultan Maulana Hasanuddin Banten, as many as 61 people. Data were collected using questionnaires, essay writing tests, assessment rubrics, and interviews. Quantitative data were analyzed using SPSS 25.00 by running paired sample t-tests and one-way ANCOVA. In addition, data from semi-structured interviews were analyzed qualitatively using thematic analysis techniques.
Findings and Value Added: research findings state that PBL positively influences writing performance and critical and creative thinking skills. The interviews showed that the students had positive attitudes and perceptions towards using the PBL method in learning to write to improve these three skills. The findings of this study are expected to increase knowledge about how students can improve writing performance, critical thinking, and creative thinking. In addition, it is also hoped that these findings can be an alternative in choosing writing learning methods.
Lexical Bundles in Indonesian EFL Textbooks: A Corpus Analysis
Authors: Ardi Priyatno , Oktafiani Yacinta Dinda , Widianingtyas Nugraheni , Dekhnich Olga V. , Widiati Utami 
Published: August 2023

Background. Lexical bundles in textbooks are of paramount importance in foreign language learning. They provide a framework for new vocabulary acquisition and help to build fluency. Despite many studies on lexical bundles, investigations into their usage in EFL textbooks in the Indonesian context are still rare.
Purpose. This corpus-based study examines the patterns and structural classifications of lexical bundles in EFL course textbooks for Indonesian senior high school students. As such, it could yield ready-made chunks of English which could be incorporated into students’ spoken and written communication.
Method. The AntConc software version 3.5.9 was used to extract lexical bundles from five Indonesian Senior High School English textbooks. These books were endorsed by the government to be used across the country. The corpus revealed that the textbooks had 54,009 lexical bundles. In addition, the bundles were categorized into patterns and structural classifications based on Biber et al. (1999).
Results. The results showed the patterns included three-word lexical bundles with 32,527 occurrences, four-word with 11,620, five-word with 6,073, and six-word with 3,789. Furthermore, eleven structural classifications of lexical bundles were found in the textbooks: “noun phrase + of phrase fragment” with 173 occurrences; “noun phrase + other post modifier fragment” with 44; “other noun phrases fragment” with 157; “prepositional phrase + of” with 13; “other prepositional phrases” with 243; “anticipatory it + verb phrase/adjective phrase” with 13; “passive verb + prepositional phrase” with 19; “copula be + noun phrase/ adjective phrase” with 30; “(verb phrase +) that- clause” with 59; and “(verb/adjective +) to- clause” with 239.
Conclusion. Three-word lexical bundles were the most frequent in the senior high English textbooks. High frequency implies repetition of the bundles. Also, the other prepositional phrase fragment was the most frequent structural classification. Short bundles may have been intended to help students to retain vocabulary and recall the bundles in the usage. This study, therefore, provides valuable insights into the most common groups of words used in the Indonesian EFL textbooks. Pedagogically speaking, repeated bundles in English textbooks can familiarize EFL students with the patterns, and they can use them in spoken and written communication.
A process-oriented data warehouse to support decision making process in crop production
Authors: Felföldi János , Botos Szilvia , Bálint Levente Péter , Sulyok Dénes , Csenki Sándor , Takács Viktor László 
Published: August 2023

The data available at the right time and in the right way and the economic calculations that can be produced from them, as well as the presentation of the produced information to managers, are crucial in the decision-making process for the organizations. Wide range of digital solutions has an important role to support the business activities and the decision making in the case of farm management as well.
It is important to determine the structure of the data required to base the economic calculations, build a data model and create a multidimensional database, this lays the foundation for the calculation of economic and financial indicators, which can help in making economic decisions.
In our article, we present the structure of a process-oriented data warehouse created according to the OLAP (online analytical processing) principle, which is suitable for displaying immediate results and creating analytical queries, as well as for displaying different combinations of variables for making economic decisions.
A new bone adhesive to fix mandible fractures in New Zealand Rabbits: cytotoxicity assay and comparison of bone formation with conventional plate and screw method
Authors: Sharifi Reza , Atai Mohammad , Aminishakib Pouyan , Bahrami Naghmeh , Nezaminia Sayna 
Published: August 2023

Statement of the Problem: Using plate and screws as the conventional bone fixation method in maxillofacial fractures leads to many complications as plate exposure, infection or unpleasant feeling on touching. Finding a substitute fixation method has been a far desire for many years.
Purpose: This study compared the new bone formation using an experimental bone adhesive containing a functional monomer (benzophenone tetracarboxylic di-methacrylate, BTDMA) and the conventional plate and screw in fractured mandibles of rabbit.
Materials and Method: This is an experimental animal study. The artificial fractures were induced at the mandibular angles of three male New Zealand rabbits. Screw and plate were used as control and titanium mesh with the resin-based bone adhesive containing 15 wt. % BTDMA monomer were applied as treatment. The mandible radiography were obtained and the density of the fracture line was compared to the control. The newly formed bone was assessed by a microscope.
Results: The results obtained from the MTT cytotoxicity assay showed that 70% of cells were able to grow in the presence of the adhesive. The radiographic density of mesh-adhesive specimens was 119.88±76.29, while conventional plate specimens' density was 120.38±73.89. The average new bone formation score in the mesh specimens and plate specimens was 3.67±4.62 and 7±4.36, respectively. There was no significant difference between the two groups. The application of bone adhesive containing 15% BTDMA monomer in a group of the rabbits showed lamellar bone formation.
Conclusion: Using bone adhesives containing BTDMA could lead to a new bone formation with high density in the case of adequate bonding to the fractured area.
Photophysical image analysis: parameter estimation, thresholding and segmentation for images from electron-multiplying charge-coupled devices
Authors: Ambjörnsson Tobias , Krog Jens , Dvirnas Albertas , Ström Oskar , Beech Jason , Tegenfeldt Jonas , Muller Vilhelm , Westerlund Fredrik 
Published: August 2023

Abstract
Images acquired in fluorescence microscopy are subject to two types of noise: stochasticity in the arrival of photons at the imaging camera and subsequent noise induced by the detection system of the camera. In here, we introduce the concept photophysical image analysis (PIA) and an associated pipeline for images recorded by electron-multiplying charge-coupled device (EMCCD) cameras. Our non-heuristic methods are based on the sole assumption that the background photon arrival to the detector are described by a stationary Poisson process. We make no assumption about the signal photon statistics. We base our approach on a new closed-form analytic expression for the characteristic function for the image count recorded in an EMCCD camera. Two common image analysis tasks are addressed: thresholding, i.e., separating the image pixels into background and signal pixels based on recorded counts in each pixel, and segmentation, i.e., identifying "objects" in the image. Our pipeline for tackling these tasks use a procedure for camera noise model parameter estimation and a novel method for estimation of the photon statistics parameters directly from an image which contains both background and signal pixels. Utilizing these parameter estimates, we then introduce a new probabilistic thresholding method, where the accuracy of the thresholding is benchmarked against the Otsu method. We lastly present a segmentation method which uses the thresholding results as input. We demonstrate how the pipeline can be successfully applied to segmentation of synthetic images and experimental images of fluorescent beads and lung cell nuclei. The associated publicly available software opens up for fully automated, unsupervised, probabilistic photophysical image analysis.