bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing Bilingual Special Education: Translanguaging in Content-Based Story Retells for Distinguishing Language Difference from Disability
Authors: PRZYMUS STEVE DANIEL , ALVARADO MANUEL 
Published: March 2023

Abstract
Many existing assessments for deciding the potential special education needs of emergent bilingual youth are either normed on monolingual students or normed on bilingual students through monolingual data collection (Hamayan, Marler, Sánchez-López, & Damico, 2013; Otheguy, García, & Reid, 2015; Perkins, 2005). To address this issue, we describe a recent study using translanguaging in dynamic assessment with six middle school emergent bilingual youth. Using bilingual language sample analysis of content-based story retells, coded with the Systematic Analysis of Language Transcripts software, we demonstrate how emergent bilingual youth are able to produce more language and content knowledge when given the freedom to translanguage. These quantitative data may improve decisions distinguishing language difference from disability and address issues of disproportionality in special education.
PENGEMBANGAN MULTI MEDIA INTERAKTIF DENGAN MODAL SAVI (SOMATIS, AUDITORY, VISUAL DAN INTELEKTUAL) PADA PESERTA DIDIK SMP
Authors: Nati Yudiana , Ralmugiz Uke , Ambao Nikmatul Ajizah 
Published: March 2023

The aim of this study was to develop multimedia interactive with savi model(Somatis, Auditory, Visual Dan Intelektuall ). Learning material here was geometry of flat side for students of junior high school. This study was research and development in ( R & N ) and teh development design using was 4D ( Devine, Design, Development, and Dessemination ). The research of this study was conducted on March until May in junior high school Muhammadiyah Kupangv with the test subject. The data were collected using validation sheets, questionary and study test. Data were analyzed quantitively, that consisted of validation practical, and effectiveness analysis. The result showed that development of mathematics learning media with 4D model that has modivied to 3D model in this research was valid based on validation sheets from expert media and expert material and the score was 87,5%. The practikal result from students responsive questionary got practical category and the average score was 73,7%. The effectiveness of this mathematical learning media got score of 75% and effective category. Therefore, it can be consluded that the developing learning media in this study was valid, practical, and effective, so it can be implemented in mathematics learning to improve students learning out comes.
PENGEMBANGAN PERANGKAT PEMBELAJARAN MATEMATIKA DENGAN MODEL DISCOVERY LEARNING TERHADAP HASIL BELAJAR SISWA SMP
Authors: Lopsau Atriana , Yusuf St. Muthmainnah , Ralmugiz Uke 
Published: March 2023

This study aims to develop mathematical learning media with the Discovery Learning model on valid, practical and effective junior high school students' learning outcomes. This research is a Research and Development (R&D) study. The product developed ar learning media in the form of lesson plans and worksheets using the Discovery Learning model on students' mathematics learning outcomes. The R&D research design used in this study is ADDIE which consists of 5 stages, namely: Analyze, Design, Development, Implement, and Evaluate. The data collection instruments are Validation Sheet, Student Response Questionnaire and Concept Understanding Test Sheet. The data analysis techniques for the development of each learning media were in valid, practical and effective criteria. The study showed that, in terms of validity, the average of validation learning media was 3.65 with valid criteria. In terms of practicality, based on practicality trials, it was found that the results of the students’ response questionnaire to the learning media reached an average of 88.75% and was considered practical so that it was feasible to use. As for the results of the completeness level of the effectiveness analysis reached 80% with very effective criteria. Based on the above, it can be concluded that the development of learning media with discovery learning learning models on mathematics learning outcomes for junior High school of Muhammadiyah Kupang students was valid, practical and effective and can be used in learning.
EFEKTIVITAS PEMBELAJARAN DARING SELAMA MASA PANDEMIC PADA MATA PELAJARAN MATEMATIKA
Authors: Chika Yasika Egi Putri 
Published: March 2023

Abstract
This study aims to determine the effectiveness of online learning during the pandemic. This research is a qualitative research with descriptive method. The subjects of this study were 5 grade IX students of SMP Negeri 24 Tangerang. The data collection technique used a questionnaire questionnaire containing questions about student responses to online learning in mathematics. Data analysis in this study used descriptive statistical analysis. The results of the study are shown from the results of the calculation of the percentage of student responses to online learning in mathematics subjects is 60% with the qualification criteria "less effective". This happens because students are not motivated to participate in online learning, and when implementing online learning in mathematics there are still many problems faced by students including not all students have cellphones to carry out online learning, limited internet quota, unstable internet network, and students find it difficult to understand the material in mathematics. So, from the various problems faced by students during online learning, this is what makes the implementation of online learning less effective.
Keywords: Online Learning, Pandemic Period, and Math.

Abstrak
Penelitian ini bertujuan untuk mengetahui efektivitas pembelajaran daring selama masa pandemic. Penelitian ini merupakan penelitian kualitatif dengan metode deskriptif. Subjek penelitian ini adalah 5 siswa kelas IX SMP Negri 24 Tangerang. Teknik pengumpulan data menggunakan kusioner angket yang berisikan pertanyaan respon siswa terhadap pembelajaran daring pada mata pelajaran matematika. Analisis data dalam penelitian ini menggunakan analisis statistik deskriptif. Hasil Penelitian ditunjukkan dari hasil perhitungan persentase respon siswa terhadap pembelajaran daring pada mata pelajaran matematika adalah 60% dengan kriteria kualifikasi“kurang efektif”. Hal ini terjadi karena siswa tidak termotivasi mengikuti pembelajaran daring, dan pada saat pelaksanaan pembelajaran daring pada mata pelajaran matematika masih banyak permasalahan yang dihadapi siswa diantaranya tidak semua siswa mempunyai handphone untuk melaksanakan pembelajaran daring, kuota internet yang terbatas, jaringan internet yang kurang stabil, dan siswa sulit untuk memahami materi pada mata pelajaran matematika. Maka, dari berbagai permasalahan yang dihadapi siswa selama pembelajaran daring, hal inilah yang menjadi pelaksanaan pembelajaran daring menjadi kurang efektif.
Kata Kunci: Pembelajaran Daring, Masa Pandemic, Mata Pelajaran Matematika.
La construcción de una prosopografía: la Vita Mahometis de Onofre Micó
Authors: Gómez Puig Jesús 
Published: March 2023

Este artículo pretende analizar el fragmento dedicado a la figura de Muhammad confeccionado en clave biográfica por la pluma de Onofre Micó. La Lex euangelica contra Alcoranum de Onofre Micó se inicia con esta uita Mahometi, recurso usual en los textos cristianos de refutación de la doctrina musulmana. En estas notas, el autor trata de analizar la figura del fundador del islam y demostrar su origen impío y, en consecuencia, el de su doctrina. Por tanto, la obra se circunscribe en el ámbito de la polémica, respondiendo a las circunstancias políticas y religiosasEste del momento.
The image of the Greeks in the greek (codex H) and aragonese (Arag.) Chronicle of Morea
Authors: Kioridis Ioannis , Sourba Maria , Stratigopoulos Dimosthenis 
Published: March 2023

The study examines the image of the Greeks in two of the codices of the Chronicle of Morea, the H and the Arag ., texts of the 14th century, with the lost prototype tracing back to t he start of the same century. The image of the G reeks (which are usually called Ρωμα?οι and griegos respectively in the two texts )), is directly linked with the identity of the authors a nd the targeting of the texts ? composition The author of H aligns wit h the Franks, he disp arages the Greeks of Constantinople, while exhibiting a more positive attitude about the local Greeks of Morea. He does not hesitate to distort historical reality it self in order to achieve his goals, which are praising the Villehardouins and the nostalgic reminiscing of an era that had been lost for good. On the other hand, on the Aragonese text, the author’ s stance on the Greeks and the Franks is generally negative. He, same as before, is positive regarding the local Greeks of Morea . The author never align s himself with the Francs, which makes him more objective. He is mainly interested in the subjects that relate to the Kingdom of Aragon, while his stance is influenced by the fact that his work is completed not long after the described events, comissioned by an prominent ex administrator of Morea.
Membrane Technology
Authors: Ray Samit Kumar 
Published: March 2023

AbstractSeparation by membranes in chemical and allied industries has been of prime importance in the last few decades because of its low energy requirement and environment friendly process. In the last two decades, there has been significant development of this novel separation technology in academic research and industrial applications. Several new membranes such as new kinds of thin film composite membranes, nanocomposite membranes, metal–organic framework membranes, mixed matrix membranes, polyelectrolyte membranes, graphene and carbon nanotube‐based membranes, polymer inclusion membranes, and new kinds of liquid membranes have been developed for applications in reverse osmosis, nanofiltration, ultrafiltration, microfiltration, pervaporation, gas separation or facilitated transport with liquid membranes. Membranes based on functional polymers and composites of polymer and ceramic materials have shown significant improvement in flux, selectivity, or salt rejection. This article discusses elaborately on the basic principles of membrane separation, types of membranes/modules, synthesis, and characterization of new membrane materials with citation of recent works on this novel separation process.
Hyper‐inflammation and complement in COVID‐19
Authors: Pires Bruno G. , Calado Rodrigo T. 
Published: March 2023

AbstractCOVID‐19 is a complex disease manifesting in a broad severity spectrum and involving distinct organs and systems. Hyperinflammation, including complement over‐activation, has a pivotal role in severe COVID‐19 pathobiology, stimulating the inflammatory response, causing microangiopathy, platelet–neutrophil activation, and hypercoagulability. SARS‐CoV‐2 can directly activate the complement system by the classic, alternative, and lectin pathways, and infected cells can produce intracellular complement (the complesome). COVID‐19 severity appears to be associated with the degree of complement activation, and it has been hypothesized that patients with COVID‐19 may benefit from therapeutic complement inhibition. Different complement cascade molecules may be targeted with potential advantages and disadvantages. Which target(s) is the most effective and when is the best timing for intervention remain open questions. Early phase I and phase II clinical trials have shown promising but conflicting results, warranting phase III controlled randomized trials. Upstream complement inhibition appears to better and more effectively block hyperinflammation with potential clinical significance. Understanding how SARS‐CoV‐2 exploits the complement system can add precious information about the pathogenesis of other infections, inflammatory, and autoimmune diseases beyond COVID‐19.
A review of Bayesian dynamic forecasting models: Applications in marketing
Authors: Migon Helio S. , Alves Mariane Branco , Menezes André F. B. , Pinheiro Eduardo G. 
Published: March 2023

AbstractWe briefly review the main developments of Bayesian dynamic models. The emphasis is on marketing applications. Typical examples in this area are discussed. The concepts of monitoring and intervention are carefully explained with illustrative examples and open source computational routines. We avoid algebraic developments and instead use graphical examples to illustrate theoretical aspects. Two real‐world problems using Bayesian dynamic models are discussed. Finally, we describe recent developments and alternative proposals to formally address the dependence when dealing with the modeling of multiple time series.
A morphine reward generalization mouse model based on conditioned place preference and aversion
Authors: Hou Xue‐Fei , Zhao Ya‐Bo , Yang Yue‐Xiong , Zhu Jing , Zhu Li‐Su , Xu Lin , Zhou Qi‐Xin 
Published: March 2023

AbstractBackgroundConditioned place preference (CPP) is a common behavioral paradigm for studying the association of unconditioned stimulus reward memory with context. Generalization is a flexible memory recall pattern developed on the basis of original memory. Drug‐seeking behaviors in substance use disorders (SUDs) exhibit diversity, which we generally attribute to the highly generalized features of SUD memory. However, to date, there are no animal models for SUD generalization studies.MethodsWe design the generalization box (G‐box) and the generalization retrieval process based on the conditioned place preference (CPP) model. In the memory retrieval stage, we replaced the conditioning CPP box (T‐box) with a generalization box (G‐box) to study drug generalization memory. For appearance, the generalized boxes have different angles and numbers of sides compared to the conditioning boxes. For the visual cues, the shapes of the symbols are different (triangle icons for the hexagonal chamber and dot icons for the round chamber), but the orientation information remains the same. To establish CPP generalization, the mice received morphine on the vertical or horizontal side of a conditioning box (T‐box) and saline on the other side. Then, after CPP conditioning, the generalization test was performed in a generalization box (G‐box: hexagonal chamber and Gr‐box: round chamber) 21 days later.ResultsCPP‐conditioned mice still displayed a clear preference for similar visual information in the G‐box. CPA‐conditioned mice behaved similarly to CPP, with mice consistently avoiding similar visual information in the G‐box. We further observed that the generalization results are similar using two generalization boxes (G‐box and Gr‐box).ConclusionIn this study, we succeeded in creating a simple and effective generalization model for morphine reward. The establishment of this model provides a new tool for generalization studies of SUD and therapy in humans.
Adapting Strauss and Corbin's grounded theory in clinical case study research in the field of counselling
Authors: Fleet Doreen , Reeves Andrew 
Published: March 2023

AbstractCase study can be adopted when aiming to understand an individual's lived experience. Such experience produces rich and complex qualitative data for analysis, conducive to counselling and psychotherapy research. Furthermore, grounded theory (GT) can be adopted to produce a theory from qualitative data, fitting well with case study research that explores complex experiences regarding social, psychological and phenomenological processes. This paper aims to guide the counselling researcher to incorporate Strauss and Corbin's model into the main arena of qualitative counselling research. In addition, this paper draws on a multiple case study that adopted Strauss and Corbin's method and identified various phases in the GT process. The aim is to inform the reader how to put the iterative process and pragmatic theoretical sampling into practice to produce a robust theory from clinical case study data.
Use of surgical lasers in small animal dermatology
Authors: Pieper Jason 
Published: March 2023

Background:Use of lasers in veterinary medicine has significantly increased over the past decade. What was once a piece of equipment, almost exclusively used by veterinary specialists, has now become a common piece of equipment in general veterinary practices. It is imperative to know the appropriate situations and diseases for which lasers can be used.Aim of the article:This article covers the basics of lasers, including discussion of both diode and CO2lasers. It also discusses several skin diseases and/or conditions in which lasers are commonly used.
Biologically inspired 3Fe4S cluster as structural mimics of FeMoco M‐cluster
Authors: Lai Ting Yi , Chen Chang‐Ting , Chu Kai‐Ti , Chien Su‐Ying , Ong Tiow‐Gan , Chiang Ming‐Hsi 
Published: March 2023

AbstractA 3Fe4S cluster related to M‐cluster of Mo‐nitrogenase is reported. [K(THF)5][Fe3(μ‐bdt)2(μ‐PPh2)(CO)5] (1) is synthesized from photo‐assisted structural rearrangement of [K(THF)2][(μ,κ2‐bdt)Fe2(μ‐PPh2)(CO)5] under visible light irradiation. The molecular structure of 1 consists of a Fe3 core bearing one dithiolate bridge and the second dithiolate group capping onto the metallic plane. The structural motif of 1 is analogous to that of Mo‐participated 3Fe4S unit in M‐cluster of Mo‐nitrogenase, with the similar Fe‐Fe and Fe‐S bond distances. Upon protonation in 193 K, a Fe‐hydride species (1H) is generated and characterized to possess the bridging hydride group (δ = −12.57 ppm) by 1H‐NMR spectroscopy and DFT calculation. In CH3CN solution, complex 1 exhibits a reversible reduction and oxidation process at = −1.94 V and = −0.18 V, respectively, at 273 K. The reduction behavior of 1 in CH2Cl2 solution at 243 K displays a slight modification in the presence of trifluoroacetic acid, revealing a moderate anodic potential shift (~50 mV). The current amplitude of the reduction wave is linearly increased with the increasement of acid added, indicative of the catalytic event.
Do job crafting opportunities help to win talent? Disentangling and contextualizing the effects of job crafting opportunities on applicant attraction
Authors: Schüler Jens , Franzke Sonja , Boehnlein Philipp , Baum Matthias 
Published: March 2023

SummaryWe argue that job crafting opportunities are not only helpful to motivate and enable the existing workforce but that they can also function as a signal to attract talent. With the help of two empirical studies (Study 1 – a conjoint experiment and Study 2 – a vignette study), we show that (a) a signaled opportunity for job crafting helps to attract job seekers; (b) job crafting signals can trigger positive as well as negative expectations of central job demands and resources that inform job acceptance intentions, and; (c) a proactive personality strengthens most of the positive expectations of job crafting signals while buffering adverse effects.
Personalized antiseizure medication therapy in critically ill adult patients
Authors: Almohaish Sulaiman , Cook Aaron M. , Brophy Gretchen M. , Rhoney Denise H. 
Published: March 2023

AbstractPrecision medicine has the potential to have a significant impact on both drug development and patient care. It is crucial to not only provide prompt effective antiseizure treatment for critically ill patients after seizures start but also have a proactive mindset and concentrate on epileptogenesis and the underlying cause of the seizures or seizure disorders. Critical illness presents different treatment issues compared with the ambulatory population, which makes it challenging to choose the best antiseizure medications and to administer them at the right time and at the right dose. Since there is a paucity of information available on antiseizure medication dosing in critically ill patients, therapeutic drug monitoring is a useful tool for defining each patient's personal therapeutic range and assisting clinicians in decision‐making. Use of pharmacogenomic information relating to pharmacokinetics, hepatic metabolism, and seizure etiology may improve safety and efficacy by individualizing therapy. Studies evaluating the clinical implementation of pharmacogenomic information at the point‐of‐care and identification of biomarkers are also needed. These studies may make it possible to avoid adverse drug reactions, maximize drug efficacy, reduce drug–drug interactions, and optimize medications for each individual patient. This review will discuss the available literature and provide future insights on precision medicine use with antiseizure therapy in critically ill adult patients.
Mpox impact on different organ systems: Complications, mechanisms, and management
Authors: Reda Abdullah , Dhama Kuldeep 
Published: March 2023

AbstractMpox (previously known as monkeypox) continues to raise concerns since many cases are still being recorded globally. Various reports have shown changing epidemiology of the disease, together with different atypical clinical characteristics of affected patients. The condition has reportedly been self‐limited since most patients do not usually require hospitalisation. However, recent reports showed that some patients might suffer from related complications and require hospitalisation. Different systems were reportedly affected, including cardiac, neurological, respiratory, and renal events. In the present literature review, we aim to review these complications, discuss their potential mechanisms, and provide insight into the currently recommended diagnostic and management practices.
Object Detector Differences when Using Synthetic and Real Training Data
Authors: Ljungqvist Martin Georg , Nordander Otto , Skans Markus , Mildner Arvid , Liu Tony , Nugues Pierre 
Published: March 2023

AbstractTo train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingly difficult and annotating these large datasets is both a resource-heavy and time-consuming task. An approach to overcome these difficulties is to use synthetic data since it is inherently scalable and can be automatically annotated. However, how training on synthetic data affects the layers of a neural network is still unclear. In this paper, we train the YOLOv3 object detector on real and synthetic images from city environments. We perform a similarity analysis using Centered Kernel Alignment (CKA) to explore the effects of training on synthetic data on a layer-wise basis. The analysis captures the architecture of the detector while showing both different and similar patterns between different models. With this similarity analysis, we want to give insights on how training synthetic data affects each layer and to give a better understanding of the inner workings of complex neural networks. The results show that the largest similarity between a detector trained on real data and a detector trained on synthetic data was in the early layers, and the largest difference was in the head part. The results also show that no major difference in performance or similarity could be seen between frozen and unfrozen backbone.