bluuebunny/crossref_metadata_2025 huggingface dataset:
Tertiary Care Center Trends in Colonic Stent Placement over the Past Decade
Authors: Juakiem Wassem Y. , Singh Kelita , Ofosu Andrew , Ramai Daryl , Persaud Alana , Tabibian James H. , Rodrigues-Pinto Eduardo , Girotra Mohit , Barakat Monique T.
Published: September 2024

Introduction: Colonic endoluminal stent placement is a commonly utilized and effective endoscopic approach for the management of malignant large bowel obstruction and is an emerging approach for the management of some benign etiologies of large bowel obstruction. However, recent studies evaluating the evolution of clinical scenarios and patient populations for which stenting is performed in real-world practice are lacking. Methods: We assessed colonic stent utilization patterns in a tertiary care academic medical center over the past 10 years. We analyzed the demographics and patient and procedure characteristics of the initial (first half of study period) and latter (second half of the study period) procedures to assess trends over time using standard descriptive statistics. Results: Our analysis was notable due to its provision of some novel insights. The frequency of colonic stent placement procedures increased significantly over time by comparison of the procedure volume for the initial 5-year interval (22 colonic stent procedures) relative to the latter 5-year interval (49 colonic stent procedures) (p = 0.03). The median age of patients who underwent colonic stent placement was significantly lower in the latter 5 years, compared with the initial 5 years of the study period (mean of 81.41 vs. 58.73 years, respectively, p < 0.001). The increased diversity of indications for colonic stent placement was also noted over time. Conclusions: Our data highlight the evolution of colonic stent placement in tertiary care practice over time and are notable for some interesting trends, including the increased utilization of colonic stent placement over time, the broadening of indications for colonic stent placement to include benign indications, and lower patient age at the time of colonic stent placement over time. These findings will help inform the clinical practice of colonic stent placement and provide a foundation to guide future research on the topic.
Biosynthesis and Extraction of Chlorophyll, Carotenoids, Anthocyanins, and Betalaine In Vivo and In Vitro
Authors: Yu Xinxin , Wang Hao , Xiang Xingchun , Fu Jingjing , Wang Xin , Zhou Yuanhang , Xing Wang
Published: September 2024

As natural bioactive compounds, plant pigments play crucial roles not only in plant phenotype, growth, development, and adaptation to stress but also hold unique value in biotechnology, healthcare, and industrial applications. There is growing interest in the biosynthesis and acquisition of plant pigments. Thus, this paper explores emerging extraction methods of natural pigments and elucidates the biosynthesis pathways of four key plant pigments, chlorophylls, carotenoids, anthocyanins, and betalaine in vivo and in vitro. We comprehensively discuss the application of solvent, supercritical fluid [extraction], ultrasonic, and microwave-assisted extraction techniques, as well as introducing key enzymes, precursors, and synthetic pathways involved in pigment synthesis. δ-Aminolevulinic acid represents a pivotal initiating enzyme for chlorophyll synthesis, whereas isopentenylpyrophosphate, (IPP) and dimethylallyl pyrophosphate, (DMAPP) are closely associated with carotenoid biosynthesis. Phenylalanine and tyrosine are critical substances for anthocyanin and betalaine synthesis, respectively. Hence, crucial genes such as chlI, crtB, PGT8, CYP76AD1, and BvDODA can be employed for heterologous biosynthesis in vitro to meet the demand for increased plant pigment amount. As a pivotal determinant of plant coloration, an in-depth exploration into the high-quality acquisition of plant pigments can provide a basis for developing superior pigments and offer new insights into increasing pigment yield.
The Potential of Intra-Articular Therapies in Managing Knee Osteoarthritis: A Systematic Review
Authors: Pojala Ciprian Vasile , Toma Sebastian , Costache Cristea , Peter Tunde , Pojala Cristiana Elena , Roman Nadinne Alexandra , Dima Lorena
Published: September 2024

Background: Knee osteoarthritis (KOA) is a common degenerative and progressive joint disorder that negatively influences patients’ quality of life. Intra-articular therapies, such as hyaluronic acid (HA) and platelet-rich plasma (PRP), have garnered attention for their potential to manage osteoarthritis OA symptoms effectively. This systematic review aims to identify the effectiveness and safety of HA and PRP treatment modalities in treating KOA. Methods: A literature search was conducted across MEDLINE (PubMed), Web of Science Core Collection, and Science Direct Collection Elsevier. Twenty-three randomized controlled trials, cohort studies, and observational studies were included in the review. The selection criteria focused on studies published in English within the last 10 years, involving subjects with KOA treated with intra-articular injections of HA or PRP and reporting on pain, function, or overall treatment efficacy outcomes. Results: The analysis showed that both HA and PRP significantly improve functionality and reduce pain in KOA patients. High molecular weight HA consistently reduced pain and improved joint mobility in various studies. PRP had better long-term outcomes when combined with HA, leading to greater pain reduction and functional improvement. Both therapies had generally favorable safety profiles, with only minor adverse events reported. However, there were potential biases identified across the studies, such as selection, performance, detection, and reporting biases, which impacted the reliability of the results. Conclusions: Intra-articular treatments with HA and PRP show promise in managing knee osteoarthritis, with personalized treatment plans and further research needed to confirm these findings.
Aesthetical and Functional Rehabilitation for an Ankylosed Maxillary Canine—A Case Report
Authors: Roman Tatiana , Delarue Maxime , Esquenet Matthieu , Rafflenbeul Frédéric , Petit Catherine , Kharouf Naji , Etienne Olivier
Published: September 2024

Background: As the functional and aesthetical importance of the canine cannot be overstated, the management of a missing canine is challenging. This case report describes the treatment of an infra-occluded ankylosed maxillary canine in a patient with previously failed orthodontic treatment. Case description: A 20-year-old patient sought a second opinion for orthodontic treatment failure. The patient presented with an impacted, ankylosed, and severely infra-occluded right maxillary canine, as well as an iatrogenic clockwise cant of the maxillary occlusal plane and several root resorptions. The treatment corrected the cant of the occlusal plane while avoiding further root resorption, partially extracted the upper right canine, improved the quality and quantity of the soft tissue in the newly edentulous area, and provided a prosthetic rehabilitation using a lithium disilicate ceramic resin-bonded cantilever bridge. Conclusions: The use of a cantilevered bridge resulted in an aesthetically pleasing and minimally invasive rehabilitation. This technique is reversible, does not affect pulp vitality, and is a viable solution for rehabilitating the smiles of young patients. Clinical significance: The smile rehabilitation for an ankylosed maxillary canine, especially in the case of a previously failed orthodontic treatment, is an important clinical challenge. A minimally invasive long-term restoration with a cantilever bridge is a viable solution. Functional and aesthetically pleasant results can be achieved with a multidisciplinary approach.
Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling
Authors: Tsitsiashvili Gurami
Published: September 2024

This paper considers two models of queuing with a varying structure based on the introduction of additional transient intensities into known models or their combinations, which create stationary distributions convenient for calculation. In the first model, it is a probabilistic mixture of known stationary distributions with given weights. In the second model, this uniform distribution is repeatedly used in physical statistics. Both models are based on the selection of states, between which additional transient intensities are introduced. The algorithms used in this paper for introducing new transient intensities are closely related to the concept of flow in a deterministic transport network. The introduced controls are selected so that the marginal distribution of the combined system is a mixture of the marginal distributions of the combined systems with different weights determined by the introduced transient intensities. As a result, the process of functioning of the combined system is obtained by switching processes corresponding to different combined systems at certain points in time.
SVX Spider Silk-Inspired Biopolymer and Enhanced Cosmetics Efficacy
Authors: Press Konstantin , Hadar Noa , Sklan Ella , Meir Alon , Idelson Gregory , Karakouz Tanya , Gubelbank Miriam , Abu Znaid Ali , Shen Shlomzion
Published: September 2024

The cosmetics industry is undergoing a shift towards sustainability and efficacy, driven by consumer demand for eco-friendly and safe products. This paper introduces SVX, a spider silk-inspired raw material intended to transform cosmetic formulations. Produced through fermentation, SVX is a biopolymer composed of self-assembled proteins characterized by a porous structure for delivering active ingredients safely to the skin. The study utilized in vitro and ex vivo methods to assess SVX’s ability to protect against oxidative stress, enhance skin hydration, and support ingredient delivery. Safety assays, including the HET-CAM, patch test, and HRIPT, demonstrated that SVX is non-irritating and safe for topical application. Additionally, FTIR analysis confirmed SVX’s capacity for sustained release of active ingredients, such as hyaluronic acid, over an 8 h period. Results showed that SVX significantly improved skin barrier protection and exhibited superior antioxidant properties compared to control formulations. Its biocompatibility, along with a vegan and biodegradable composition, aligns with the principles of sustainability, with over 60% biodegradability achieved within 10 days. Furthermore, SVX displayed antioxidant efficacy approximately 130 times greater than L-ascorbic acid, based on DPPH assay results. These findings suggest that SVX offers a versatile and sustainable solution for skincare formulations, combining environmental responsibility with benefits for skin health and performance.
Medical Student Voices on the Effect of the COVID-19 Pandemic and Motivation to Study: A Mixed-Method Qualitative Study
Authors: Mayers Thomas , Okamura Yui , Kanaji Mai , Shimoda Tomonari , Maki Naoki , Maeno Tetsuhiro
Published: September 2024

This study explores the impact of the COVID-19 pandemic on the motivation of medical students using a mixed-method, user-led approach with students as both participants and researchers. Data were collected in 2021 through essays describing students’ motivation during the pandemic. The essays were coded, categorized, quantified, and statistically analyzed for gender-based differences. Results showed that while 71% of students reported increased motivation, female students more often experienced fluctuating motivation levels. Key motivational factors included career aspirations and educational purpose, whereas demotivational factors involved disruptions to college life and mental health struggles. Notably, female students disproportionately expressed doubts about the medical profession. The study also utilized a collaborative autoethnographic method to explore the researchers’ own pandemic experiences, revealing long-term positive effects and resonating with initial findings. This research contributes to understanding the pandemic’s long-term impact on medical students and offers insights into nurturing resilient future doctors capable of handling healthcare crises.
Pressure Effects on the Thermodynamic Properties of MgSiO3 Akimotoite
Authors: Su Chang , Song Wei , Yang Guang , Liu Yonggang , Li Qingyi
Published: September 2024

The thermodynamic properties of MgSiO3 akimotoite at high temperatures and high pressures are important for investigating the phase equilibria of the Earth’s transition zone and the upper part of the lower mantle. In this paper, we present the self-consistent unit-cell volume, elastic properties, and in particular, thermodynamic properties including thermal expansion, heat capacity, entropy, and Grüneisen parameter of MgSiO3 akimotoite at pressures up to 30 GPa and temperatures to 2000 K using an iterative numerical method and available experimental data, which are consistent with the previous studies. The results show that the determined thermal expansion, heat capacity, entropy, and Grüneisen parameter exhibit a nonlinear and negative relationship with increasing pressure. Additionally, the pressure derivatives of these thermodynamic parameters along with the temperature are also presented.
Growth and Faceting of Tungsten and Oxides in Scandate Cathode Particles during In Situ Heating in the Scanning Electron Microscope
Authors: Bai Huanhuan , Balk Thomas John
Published: September 2024

Tungsten-based scandate dispenser cathodes are promising next-generation thermionic electron sources for vacuum electron devices, due to their excellent emission performance at temperatures lower than those required for conventional cathodes. There has been a significant recent effort to understand scandate cathode performance and to characterize the tungsten and other materials on the emitting surface, primarily via the study of cathodes before and after emission testing. Moreover, these scandate cathodes have typically been characterized at room temperature only. In situ observations of scandate cathodes is challenging, as these devices are thermionic emitters that operate in a high-vacuum environment, and because the sizes of relevant material features range from the micron (2.0 µm) to the nanometer (<50 nm diameter) length scales. In the current study, a series of in situ heating experiments was conducted on un-activated impregnated scandate cathode fragments, utilizing a micro-electro-mechanical system-based heater chip in a scanning electron microscope, enabling the real-time observation of cathode material evolution at elevated temperature (up to 1200 °C) under a pressure of 10−6 to 10−7 mbar. This study revealed how impregnant materials grow and migrate within the cathode matrix at elevated temperatures, and these observations are key to a thorough understanding of the behavior of scandate cathode materials. It also enabled direct observation of the incipient faceting of tungsten surfaces at high temperature while surrounded by impregnant materials. These are the first in situ observations of scandate cathode material evolution in relevant environmental conditions and at sufficiently high resolution to provide insights into the morphological and phase changes that occur in the near-surface regions of scandate cathodes.
Growth of Al-Cu Thin Films on LiNbO3 Substrates for Surface Acoustic Wave Devices Based on Combinatorial Radio Frequency Magnetron Sputtering
Authors: Eom Junseong , Kim Tae-Won , Puneetha Peddathimula , Park Jae-Cheol , Mallem Siva
Published: September 2024

Al-Cu thin films were fabricated by RF magnetron sputtering from aluminum (Al) and copper (Cu) metal targets to improve the acoustic performance of SAW devices on LiNbO3 substrates. To optimize the electrode material for SAW devices, Al-Cu films with various compositions were fabricated and their electrical, mechanical, and acoustic properties were comprehensively evaluated. The Al-Cu films exhibited a gradual decrease in resistivity with increasing Al content. The double-electrode SAW devices composed of Al-Cu films demonstrated a resonant frequency of 70 MHz and an average insertion loss of −16.1 dB, which was significantly lower than that of devices made with traditional Au or Al electrodes. Additionally, the SAW devices showed an increase in the FWHM values of the resonant frequency and a decrease in the insertion loss as the Al content in the IDT electrode decreased. These findings indicate that improving the performance of SAW devices can be achieved by reducing the density of the IDT electrodes, rather than focusing solely on their electrical characteristics.
A Preliminary Analysis of Circulating Tumor Microemboli from Breast Cancer Patients during Follow-Up Visits
Authors: Lai Hung-Chih , Huang Hsing-Hua , Hao Yun-Jie , Lee Hsin-Ling , Wang Chiao-Chan , Ling Thai-Yen , Wu Jen-Kuei , Tseng Fan-Gang
Published: September 2024

Background: Most breast cancer-related deaths are caused by distant metastases and drug resistance. It is important to find appropriate biomarkers to monitor the disease and to predict patient responses after treatment early and accurately. Many studies have found that clustered circulating tumor cells, with more correlations with metastatic cancer and poor survival of patients than individual ones, are promising biomarkers. Methods: Eighty samples from eleven patients with breast cancer during follow-up visits were examined. By using a microfluidic chip and imaging system, the number of circulating tumor cells and microemboli (CTC/CTM) were counted to assess the distribution in stratified patients and the potential in predicting the disease condition of patients after treatments during follow-up visits. Specific components and subtypes of CTM were also preliminarily investigated. Results: Compared to CTC, CTM displayed a distinguishable distribution in stratified patients, having a better AUC value, in predicting the disease progression of breast cancer patients during follow-up visits in this study. Four subtypes were categorized from the identified CTM by considering different components. In combination with CEA and CA153, enumerated CTC and CTM from individual patients were applied to monitor the disease condition and patient response to the therapy during follow-up visits. Conclusions: The CTM and its subtypes are promising biomarkers and valuable tools for studying cancer metastasis and longitudinally monitoring cancer patients during follow-up visits.
Number of Retrieved Lymph Nodes during Esophagectomy Affects the Outcome of Stage III Esophageal Cancer in Patients Having Had Pre-Operative Chemo-Radiation Therapy
Authors: Ho Wei , Li Shau-Hsuan , Liang Shih-Ting , Chen Yu , Chen Li-Chun , Chen Yen-Hao , Lu Hung-I , Lo Chien-Ming
Published: September 2024

Background: Lymphadenectomy plays a crucial role in the surgical management of early- stage esophageal cancer. However, few studies have examined lymphadenectomy outcomes in advanced stages, particularly in patients who initially underwent concurrent chemoradiation therapy. This retrospective study investigates the effect of lymphadenectomy in patients diagnosed with AJCC 8th-edition clinical stage III esophageal squamous cell carcinoma who received concurrent preoperative chemoradiation. Methods: Data from 1994 to 2023 were retrieved from our retrospective database. All patients underwent a uniform evaluation and treatment protocol, including preoperative concurrent chemoradiation therapy comprising cisplatin and 5-fluorouracil, followed by esophagectomy. The analysis encompassed clinical T and N stages, tumor location, tumor grade, pathological T and N stages, pathological stage, and the extent of lymph node dissection. Overall survival, “Free-To-Recurrence”, and disease-free survival were assessed via Kaplan–Meier survival curves and the Cox regression model for multivariate analysis. Results: The dataset was stratified into two groups according to extent of lymph node dissection, with one group having <15 dissected nodes and the other having ≥15 dissected nodes. The group with <15 nodes exhibited a shorter “Free-To-Recurrence”, worse disease-free survival, and lower overall survival. In multiple-variate analysis (Cox regression model), the number of dissected lymph nodes emerged as a significant factor influencing overall survival and freedom from recurrence. Conclusions: The quantity of lymphadenectomy is a crucial determinant for patients with AJCC 8th-edition clinical stage III esophageal squamous cell carcinoma receiving preoperative concurrent chemoradiation.
Prevalence and Correlates of Depressive Symptoms among Patients with Cancer: A Cross-Sectional Study
Authors: Yu Wei-Zhen , Wang Hsin-Fang , Huda Nurul , Yen Yun , Liu Yen-Lin , Li Chia-Sui , Ho Yen-Chung , Chang Hsiu-Ju
Published: September 2024

The purpose of this study was to identify the correlates of depressive symptoms and the prevalence of depression, distress, and demoralization among patients with cancer in Taiwan in relation to their sociodemographics. A cross-sectional study design with convenience sampling was used to recruit 191 consecutive patients with cancer from the Cancer Center of a teaching hospital in northern Taiwan. Multiple linear regression was applied to analyze the determinants of depressive symptoms. The prevalence rates of depression (including suspected cases), distress, and demoralization were 17.8%, 36.1%, and 32.5%, respectively. The regression model explained 42.2% of the total variance, with significant predictors including marital status, life dependence, comorbidity, demoralization, and distress. The results demonstrated that higher levels of distress and demoralization were associated with more depressive symptoms. Demoralization and distress played vital roles in moderating depressive symptoms among patients with cancer. Nursing interventions should integrate appropriate mental health services, such as alleviating distress and demoralization, to prevent the occurrence of depression in patients with cancer.
Multi-Biomarker Analysis Uncovers High Spatio-Temporal Stability of a Subarctic Rhodolith (Lithothamnion glaciale) Bed Food Web
Authors: Hacker Teper Sean , Parrish Christopher C. , Gagnon Patrick
Published: September 2024

We used lipid, fatty acid, and stable isotope analyses to investigate variation, over nine months, in the trophodynamics of 10 dominant cryptofaunal, macroalgal/algal, and environmental components from two sites within a rhodolith (Lithothamnion glaciale) bed in southeastern Newfoundland (Canada). There was an overall shift from a diatom-based food web following the spring phytoplankton bloom to a kelp/algae-based food web during fall, accompanied by preferred use of EPA (20:5ω3) over DHA (22:6ω3) in most cryptofauna. The food web contained three trophic levels that encompassed: (1) direct feeding relationships from primary producers (e.g., rhodoliths, macroalgae) to second-order consumers (e.g., sea stars, polychaetes); (2) trophic subsidy from within and outside the rhodolith bed via settlement, resuspension, and consumption of macroalgal fragments and other detrital organic matter; and (3) strong pelagic/benthic coupling. Riverine input did not affect cryptofaunal diets, as shown by the lack of terrestrial biomarkers at the study site nearest to the riverine input, and there were minor differences in trophodynamics between both study sites. The present study’s findings, applicable to relatively broad spatial and temporal domains, as well as those of complementary studies of the same rhodolith bed, uncover high spatio-temporal stability of the rhodolith bed framework and of resident cryptofaunal abundance, diversity, and trophodynamics.
Uses of African Plants and Associated Indigenous Knowledge for the Management of Diabetes Mellitus
Authors: Asong John Awungnjia , Ndhlovu Peter Tshepiso , Olatunde Ahmed , Aremu Adeyemi Oladapo
Published: September 2024

Diabetes mellitus (DM) is a common non-communicable and chronic metabolic disorder regarded as a global epidemic with high morbidity and mortality. Although, conventional medicines are available for the management of DM, Indigenous knowledge, including the use of botanicals, has contributed to the management of this life-threatening disease in Africa. This is due to the perceived effectiveness and minimal side effects associated with plants and plant-derived compounds as an affordable remedy against DM. This review focuses on the contribution of Indigenous African plants to the management of DM. Relevant literatures were reviewed from online scientific databases, such as PubMed, ScienceDirect, and Google Scholar, using keywords singly and in combination. The review revealed that Indigenous health practitioners use several medicinal plants in the management of DM, with a range of 14–255 botanicals recorded. Approximately 80 compounds with antidiabetic potency have been isolated from different parts of African medicinal plants, with the majority belonging to flavonoids and terpenoids. Particularly, compounds such as apigenin, combretin B, convallatoxin, kaempferol, and quercetin remain the most promising antidiabetic compounds isolated from African medicinal plants. Limited clinical trials have been conducted on these compounds despite these milestones. There is, therefore, the need for further investigations to explain their antidiabetic effects, particularly under clinical conditions. Plants from which these compounds were isolated were selected based on ethnopharmacological knowledge. With these developments, medicinal plants and Indigenous knowledge remain an integral part of the global strategy to combat DM.
A Bayesian Approach for Modeling and Forecasting Solar Photovoltaic Power Generation
Authors: Flesch Mariana Villela , de Bragança Pereira Carlos Alberto , Saraiva Erlandson Ferreira
Published: September 2024

In this paper, we propose a Bayesian approach to estimate the curve of a function f(·) that models the solar power generated at k moments per day for n days and to forecast the curve for the (n+1)th day by using the history of recorded values. We assume that f(·) is an unknown function and adopt a Bayesian model with a Gaussian-process prior on the vector of values f(t)=f(1),…, f(k). An advantage of this approach is that we may estimate the curves of f(·) and fn+1(·) as “smooth functions” obtained by interpolating between the points generated from a k-variate normal distribution with appropriate mean vector and covariance matrix. Since the joint posterior distribution for the parameters of interest does not have a known mathematical form, we describe how to implement a Gibbs sampling algorithm to obtain estimates for the parameters. The good performance of the proposed approach is illustrated using two simulation studies and an application to a real dataset. As performance measures, we calculate the absolute percentage error, the mean absolute percentage error (MAPE), and the root-mean-square error (RMSE). In all simulated cases and in the application to real-world data, the MAPE and RMSE values were all near 0, indicating the very good performance of the proposed approach.
Table Games as a Tool to Learn about Material Science in Engineering and Architecture Studies
Authors: Riquelme Ainhoa , de Prado Javier , Bonache María Victoria , Rams Joaquín , Sánchez María , Torres Belén , Rodriguez María Dolores Escalera , Rodrigo Pilar , Muñoz Bianca Karelia
Published: September 2024

The project involved applying gamification methodology in the teaching of engineering and materials science through the creation of a board game. This game facilitated the active study of the subject, encouraged self-assessment, and developed general competencies such as teamwork and interdisciplinary collaboration, as well as specific competencies in the structure, description, and characterization of materials and manufacturing processes. During the course, students created questions and tests for the game, which were reviewed by the faculty and used to print and manufacture the game. Students utilized the game to study actively, interact with their peers, and reflect on the course topics. There are plans to extend the project to more specialized subjects within the Materials Engineering degree program. The creation of these contents promotes active student learning, reinforces their knowledge, enhances information retention, and motivates students through gamification.
Examining the Relationship between Broadband Access, Parent Technology Beliefs, and Student Academic Outcomes
Authors: Xin Zhexun , Bebell Damian , Cleveland Gareth
Published: September 2024

This study explores the relationship between community broadband access, parent technology use and beliefs, and student academic outcomes in a Southeastern U.S. school district during and after the COVID-19 pandemic. By applying a quantitative exploratory approach and multiple regression analysis, the research revealed that parents’ technology beliefs and use were significantly associated with students’ standardized Math and ELA scores. While parents’ positive beliefs about technology’s developmental impact showed an inverse relationship with student performance, greater concerns about familial challenges related to technology were associated with lower scores. The results explored persistent social inequities, whereby students who were identified as Black historically score lower than White-identified students, emphasizing the role and importance of digital equity to mitigate disparities and enhance outcomes. Both the methodology and results encourage researchers, educational leaders, and policymakers to deeply consider the role of parental access to and engagement with digital resources, and how they contribute to shaping student outcomes.
How Can Crosscutting Concepts Organize Formative Assessments across Science Classrooms? Results of a Video Study
Authors: Deverel-Rico Clarissa , Furtak Erin Marie , Student Sanford R. , Burkhardt Amy
Published: September 2024

Ambitious approaches to science teaching feature collaborative learning environments and engage students in rich discourse to make sense of their own and their peers’ ideas. Classroom assessment must cohere with and mutually reinforce these kinds of learning experiences. This paper explores how teachers’ enactment of formative assessment tasks can support such an ambitious vision of learning. We draw on video data collected through a year-long investigation to explore the ways that co-designing formative assessments linked to a learning progression for modeling energy in systems could help teachers coordinate classroom practices across high school physics, chemistry, and biology. Our analyses show that while there was some alignment of routines within content areas, students had differential opportunities to share and work on their ideas. Though the tasks were constructed for surfacing students’ ideas, they were not always facilitated to create space for teachers to take up and work with those ideas. This paper suggests the importance of designing and enacting formative assessment tasks to support ambitious reform efforts, as well as ongoing professional learning to support teachers in using those tasks in ways that will center discourse around students’ developing ideas.
Values Scale for Positive Youth Development in Sport
Authors: Berengüí Rosendo , Parra-Plaza Francisco J. , Castejón María Á.
Published: September 2024

Adolescence is a period of special significance for the development of personal and social values. Positive adolescent development (PYD) can be an ideal perspective from which to promote values in young people through their sports practice. The aim of the study was to adapt and analyse the measurement properties of the Values Scale for Positive Youth Development for use in the context of sport in young athletes. A total of 599 adolescents, competitors of different sports modalities, participated in the study. Confirmatory factor analysis and reliability and invariance analyses were performed. The results confirmed a good model fit, with adjustment indexes (CFI, GFI and AGFI) above 0.90 and error (RMSEA and SRMR) below 0.08. The factor loadings above 0.50 were obtained for all items. Adequate reliability of the scales was also confirmed, between 0.72 and 0.89, and gender, age and sport invariance were confirmed. In conclusion, the analysed scale is a valid and reliable instrument with adequate psychometric properties, which makes it an appropriate assessment tool to be used in sports contexts, based on the positive adolescent development approach.
A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna
Authors: Chhaule Nupur , Koley Chaitali , Mandal Sudip , Onen Ahmet , Ustun Taha Selim
Published: September 2024

A significant advancement in wireless communication has occurred over the past couple of decades. Nowadays, people rely more on services offered by the Internet of Things, cloud computing, and big data analytics-based applications. Higher data rates, faster transmission/reception times, more coverage, and higher throughputs are all necessary for these emerging applications. 5G technology supports all these features. Antennas, one of the most crucial components of modern wireless gadgets, must be manufactured specifically to meet the market’s growing demand for fast and intelligent goods. This study reviews various 5G antenna types in detail, categorizing them into two categories: conventional design approaches and machine learning-assisted optimization approaches, followed by a comparative study on various 5G antennas reported in publications. Machine learning (ML) is receiving a lot of emphasis because of its ability to identify optimal outcomes in several areas, and it is expected to be a key component of our future technology. ML is demonstrating an evident future in antenna design optimization by predicting antenna behavior and expediting optimization with accuracy and efficiency. The analysis of performance metrics used to evaluate 5G antenna performance is another focus of the assessment. Open research problems are also investigated, allowing researchers to fill up current research gaps.
A Novel Tsetlin Machine with Enhanced Generalization
Authors: Anjum Usman , Zhan Justin
Published: September 2024

The Tsetlin Machine (TM) is a novel machine learning approach that implements propositional logic to perform various tasks such as classification and regression. The TM not only achieves competitive accuracy in these tasks but also provides results that are explainable and easy to implement using simple hardware. The TM learns using clauses based on the features of the data, and final classification is done using a combination of these clauses. In this paper, we propose the novel idea of adding regularizers to the TM, referred to as Regularized TM (RegTM), to improve generalization. Regularizers have been widely used in machine learning to enhance accuracy. We explore different regularization strategies and their influence on performance. We demonstrate the feasibility of our methodology through various experiments on benchmark datasets.
The Role of Fully Coupled Computational Fluid Dynamics for Floating Wind Applications: A Review
Authors: Darling Hannah , Schmidt David P.
Published: September 2024

Following the operational success of the Hywind Scotland, Kincardine, WindFloat Atlantic, and Hywind Tampen floating wind farms, the floating offshore wind industry is expected to play a critical role in the global clean energy transition. However, there is still significant work needed in optimizing the design and implementation of floating offshore wind turbines (FOWTs) to justify the widespread adoption of this technology and ensure that it is commercially viable compared to other more-established renewable energy technologies. The present review explores the application of fully coupled computational fluid dynamics (CFD) modeling approaches for achieving the cost reductions and design confidence necessary for floating wind to fully establish itself as a reliable and practical renewable energy technology. In particular, using these models to better understand and predict the highly nonlinear and integrated environmental loading on FOWT systems and the resulting dynamic responses prior to full-scale implementation is of increased importance.
Electric Vehicle Charging Load Prediction Considering Spatio-Temporal Node Importance Information
Authors: Hou Sizu , Zhang Xinyu , Yu Haiqing
Published: September 2024

The rapid development of electric vehicles (EVs) has brought great challenges to the power grid, so improving the EV load prediction accuracy is crucial to the safe operation of the power grid. Aiming at the problem of insufficient consideration of spatial dimension information in the current EV charging load forecasting research, this study proposes a forecasting method that considers spatio-temporal node importance information. The improved PageRank algorithm is used to carry out the importance degree calculation of the load nodes based on the historical load information and the geographic location information of the charging station nodes, and the spatio-temporal features are initially extracted. In addition, the attention mechanism and convolutional network techniques are also utilized to further mine the spatio-temporal feature information to improve the prediction accuracy. The results on a charging station load dataset within a city in the Hebei South Network show that the model in this study can effectively handle the task of forecasting large fluctuations and long time series of charging loads and improve the forecasting accuracy.
User Behavior in Fast Charging of Electric Vehicles: An Analysis of Parameters and Clustering
Authors: Capeletti Marcelo Bruno , Hammerschmitt Bruno Knevitz , Silva Leonardo Nogueira Fontoura da , Knak Neto Nelson , Passinato Sausen Jordan , Barriquello Carlos Henrique , Abaide Alzenira da Rosa
Published: September 2024

The fast charging of electric vehicles (EVs) has stood out prominently as an alternative for long-distance travel. These charging events typically occur at public fast charging stations (FCSs) within brief timeframes, which requires a substantial demand for power and energy in a short period. To adequately prepare the system for the widespread adoption of EVs, it is imperative to comprehend and establish standards for user behavior. This study employs agglomerative clustering, kernel density estimation, beta distribution, and data mining techniques to model and identify patterns in these charging events. They utilize telemetry data from charging events on highways, which are public and cost-free. Critical parameters such as stage of charge (SoC), energy, power, time, and location are examined to understand user dynamics during charging events. The findings of this research provide a clear insight into user behavior by separating charging events into five groups, which significantly clarifies user behavior and allows for mathematical modeling. Also, the results show that the FCSs have varying patterns according to the location. They serve as a basis for future research, including topics for further investigations, such as integrating charging events with renewable energy sources, establishing load management policies, and generating accurate load forecasting models.
Microwave-Assisted Pyrolysis of Forest Biomass
Authors: Fernández I. , Pérez S. F. , Fernández-Ferreras J. , Llano T.
Published: September 2024

The global increase in energy consumption, driven by population growth and improved living standards, has led to a heavy reliance on fossil fuels, causing significant environmental concerns. This has prompted a shift toward sustainable energy sources, with biomass, especially lignocellulosic forest biomass, emerging as a key alternative due to its abundance and carbon-neutral potential. Microwave-assisted pyrolysis (MAP) is an efficient method for converting forest biomass into valuable bioproducts and bioenergy with reduced energy use. This review introduces biomass types, focusing on forest biomass and its role in global energy production. It compares MAP to conventional pyrolysis, highlighting the benefits of rapid, uniform heating and improved product yields. Key operational conditions, such as temperature, microwave power, biomass size, and catalyst ratios, are discussed in relation to their impact on product quality and yield. Despite its advantages, MAP faces challenges, particularly in temperature control, which can affect bio-oil yield and quality. High temperatures may cause unwanted secondary reactions, while low temperatures can lead to incomplete decomposition. Research into biomass dielectric properties and process modeling is essential in order to optimize MAP and scale it up for industrial use. Addressing bio-oil quality issues through catalytic upgrading is also critical for broader adoption.
Enhancing Heat and Mass Transfer in Adsorption Cooling and Desalination Systems Using Ionic Liquid and Graphene Consolidated Composites
Authors: Banda Handsome , Rezk Ahmed
Published: September 2024

Graphene nanoplatelets with high thermal diffusivity are being researched for their ability to improve the thermal characteristics of adsorbents. Similarly, ionic liquids with hydrophilic properties have shown promising sorption and thermal attributes. In this study, novel composite adsorbents are developed, comprising few-layered graphene nanoplatelets and specific ionic liquids (ethyl-methylimidazolium methanesulfonate (EMIMCH3SO3) and ethyl-methylimidazolium chloride (EMIMCl)), along with polyvinyl alcohol binder. The composites, known as GP-CL-30-CP and GP-CH3SO3-30-CP, each contain 30% ionic liquid content. The aim is to capitalise on the superior thermal properties of graphene nanoplatelets and the stability and solvation characteristics of ionic liquids to enhance water and cooling production in adsorption-based cooling and desalination processes, addressing challenges in the water–energy nexus. The findings revealed an improvement in the thermal diffusivity of the composites by 167%, which is 76 times higher than the baseline silica gel. There was an increase in water uptake from 0.3534 kg/kg for silica gel to 0.9648 kg/kg for the composites, representing a 174% enhancement in water sorption, and hence more freshwater water production.
How can Fossil-Energy-Free Technologies and Strategies (FEFTS) be adopted in European Farming?
Authors: Balafoutis Athanasios T. , Paris Bas
Published: September 2024

This paper provides policy recommendations for accelerating the adoption of Fossil-Energy-Free Technologies and Strategies (FEFTS) in the EU agricultural sector. Faster adoption of these technologies and strategies is crucial to achieving the medium- and long-term sustainability targets laid out in EU policy. The prepared policy recommendations originate out of the key outputs and findings of the Horizon 2020 project “AgroFossilFree”, including an assessment and evaluation of the current energy use status in EU agriculture, survey results on farmers’ needs, ideas and interests on the adoption of FEFTS, FEFTS categories identified through an online inventory of FEFTS called the AgEnergy platform, and key innovative processes through national and transnational workshops that combine expertise from hundreds of keys stakeholders (researchers, innovation brokers, policymakers, farmers, and industry representatives). The policy recommendations are synthesized and presented in the form of 19 policy briefs split into three main categories: those that are related to energy issues in farming and can be applied to any farm and FEFTS type; those that are specific to certain agricultural production systems; and those that are necessary for FEFTS integration in agriculture in general.
Sensorless Detection of Mechanical Unbalance in Servodrive with Elastic Coupling
Authors: Ewert Pawel , Pajchrowski Tomasz , Wicher Bartlomiej
Published: September 2024

The article focusses on detecting the unbalance of a mechanical component in the electric drive system of a two-mass servomechanism with a permanent magnet synchronous motor (PMSM), which is connected to the load via a long, flexible shaft. In the example analysed, the degree of unbalance was determined using the reference current signal from the speed controller of the field-orientated control (FOC) system. The authors presented a two-mass model with an unbalanced mechanical system. The short-time Fourier transform (STFT) transform was used to analyse the symptoms of unbalance, and an artificial neural network multi-layer perceptron (MLP) was used for system state inference. The effectiveness of the presented analysis, based on the reference current signal from the sensor embedded in the control system, was experimentally confirmed.
Characteristics of Biochar Obtained by Pyrolysis of Residual Forest Biomass at Different Process Scales
Authors: Santos Márcia , Morim Ana Carolina , Videira Mariana , Silva Flávio , Matos Manuel , Tarelho Luís A. C.
Published: September 2024

In this work, the pyrolysis process and the characteristics of biochar produced using a bench-scale fixed-bed reactor and a prototype-scale auger reactor were studied. Residual forest biomass (RFB) from acacia, broom, gorse, and giant reed was used as feedstock. Besides information on pyrolysis characteristics of these specific biomass species from the Iberian Peninsula, new knowledge on the understanding of how results from small-scale reactors can be used to predict the behavior of higher-scale and continuous-operation reactors is offered. Batch pyrolysis was carried out using 40 g of biomass sample in a fixed-bed reactor with a heating rate of 20 °C∙min−1, pyrolysis temperature of 450 and 550 °C, and a residence time of 30 min, while for the continuous process it was used a prototype of an auger reactor with continuous operation with a biomass flow rate up to 1 kg/h, with temperatures of 450 and 550 °C, and a solids residence time of 5 min. The biochar yield was in the range of 0.26 to 0.36 kg/kg biomass dry basis, being similar for both types of reactors and slightly lower when using the auger reactor. The proximate analysis of the biochar shows volatile matter in the range 0.10 to 0.27 kg/kg biochar dry basis, fixed carbon in the range 0.65 to 0.84 kg/kg biochar dry basis, and ash in the range 0.04 to 0.08 kg/kg biochar dry basis. The carbon, oxygen, and hydrogen content of the biochar was in the range of 0.71 to 0.81, 0.09 to 0.22, and 0.02 to 0.03 kg/kg biochar dry basis, respectively. The results show that the up-scaling of the reactor and regime of operation does not have an important influence on the yield and characteristics of the biochar produced. The biochar obtained in the two types of reactors has characteristics appropriate for environmental applications, such as an additive to improve soil properties. It is possible to see that the characteristics of the biochar are influenced by the type of biomass and the conditions and parameters of the process; therefore, it is of major importance to control and know of these conditions, especially when considering upscaling scenarios.