Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? by Gleb DANILOV, Andrey POSTNOV, Diana KALAEVA, Nina VIKHROVA, Tatyana KOBYAKOVA

“…Three datasets were used to predict EGFR amplification status via machine learning: 1) Radiomic features calculated as time series for each image biomarker; 2) Dynamic tumor-to-normal brain ratio (T/N) of radiopharmaceutical uptake - time series of T/N peak for 26 frames; 3) Static T/N - peak, max, and average T/N for static images. …”
Get full text

Web-Based Exercise and Nutrition Intervention to Improve Leg Muscle Strength and Physical Functioning in Older Adults: Pre-Post Pilot Study by Berber Gijsbertha Dorhout, Nick Wezenbeek, Lisette C P G M de Groot, Pol Grootswagers

“…In addition, older adults were advised on increasing protein intake via two web-based consultations by a dietitian in the first 12 weeks and via an e-learning course in the second 12 weeks. Intervention adherence and acceptance was measured in week 25. …”
Get full text

Effect of Prenatal Protein Malnutrition on Long-Term Potentiation and BDNF Protein Expression in the Rat Entorhinal Cortex after Neocortical and Hippocampal Tetanization by Alejandro Hernández, Héctor Burgos, Mauricio Mondaca, Rafael Barra, Héctor Núñez, Hernán Pérez, Rubén Soto-Moyano, Walter Sierralta, Victor Fernández, Ricardo Olivares, Luis Valladares

“…Impaired capacity of the EC of prenatally malnourished rats to develop LTP and to increase BDNF levels during adulthood may be an important factor contributing to deficits in learning performance having adult prenatally malnourished animals.…”
Get full text

USABILITY OF PROGRAM INTERFACES FOR TEACHING 3D GRAPHICS IN A SCHOOL COURSE OF INFORMATICS by Oleksandr O. Mosiiuk, Yaroslava B. Sikora, Olena Yu. Usata

“…Considering that the complexity of organizing the interaction between the user and the control elements is inherent in the vast majority of graphic 3D programs, the purpose of the exploratory research was to study this very issue only in the context of the educational learning process. When choosing software for testing, the following selection criteria were followed: the software must be distributed on the basis of the open GPL license, and online services must be able to be freely registered and used in work; it is necessary that graphic complexes of three-dimensional graphics satisfy sufficiently democratic system requirements of school computers; the presence of a large number of localizations is also important, and in terms of functionality, 3D programs should approach similar leading commercial software tools and corresponding online services. …”
Get full text

Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya by Keiji Jindo, Keiji Jindo, Golaleh Ghaffari, Manisha Lamichhane, Asher Lazarus, Yoshito Sawada, Hans Langeveld

“…A decision-tree machine learning model identified farm characteristics favorable for maize stover use in biogas production.ResultsLarger households were found to consume more energy per capita, while proximity to forests did not significantly influence firewood or charcoal consumption. …”
Get full text

Improving general practitioners’ approaches to functional somatic syndromes: a pilot training program with a focus on compassion and communication by Gonthier Ariane, Linder Audrey, Sommer Johanna, Despland Jean-Nicolas, Ambresin Gilles

“…The educational framework of the training session is multimodal and includes theory on the pathophysiology of functional somatic syndromes, communication skills, and introspective learning including an introduction to compassion meditation. 20 physicians attended the pilot training session. 10 of them participated in the qualitative study. …”
Get full text

A potential electric vehicle curriculum development argument in Malaysia based on database analysis: a review by Azizul Qayyum Basri, Ahmad Shah Hizam MD Yasir, Awangku Zaini Awang Zainal, Jin Peng, Nik Mohd Zuki Nik Mohamed, Mohd Nazri Abdul Raji, N. Nelfiyanti, Muhammad Azri Othman

“…According to the data analysis results, Research Cluster 2 (RC2), Research and Development (R&D), and Project-Based Learning (PBL) are the most commonly used research methodologies in the past (RQ1); there are differences between ‘developed’ and ‘developing’ countries concerning the policy, finance, teachers, knowledge, facilities, and students’ preparedness for multidisciplinary studies (RQ2); graduate degrees in electrical, mechanical, and mechatronic engineering are a suitable educational level to be integrated with EV education (RQ3). …”
Get full text

Improving the Teaching of Persian Verse Literature for non-Persian Speakers: A Comprehensive Evaluation of Educational Materials by Amirreza Vakilifard, Fatemeh Janatirad, Zoya Rezaei Mahalati

“…The assessment of textbooks, thoughtfully considering the requirements and aims inherent to the realms of pedagogy and learning, plays a pivotal role in refining the educational process. …”
Get full text

Novice Inter-Rater Reliability on the Selective Functional Movement Assessment (SFMA) After a 4-Hour Training Session by Brent Harper, Adrian Aron

“…Variation between novice raters may reflect the amount of previous exposure assessing movement and suggests that some may require more time learning and practicing in order to identify non-optimal movement patterns that may require further assessment…”
Get full text

Transformer-based model for predicting length of stay in intensive care unit in sepsis patients by Jeesu Kim, Jeesu Kim, Geun-Hyeong Kim, Geun-Hyeong Kim, Jae-Woo Kim, Jae-Woo Kim, Ka Hyun Kim, Ka Hyun Kim, Jae-Young Maeng, Yong-Goo Shin, Seung Park, Seung Park

“…A transformer-based deep learning model was developed to predict ICU length of stay (LOS). …”
Get full text

Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

“…To address these challenges, we present Deep-TEMNet, an advanced deep learning framework specifically designed for two-dimensional TEM forward modeling. …”
Get full text

Voices on academic accreditation: lived experiences of nurse educators, administrators, students, and alumni in nursing education by Ebtsam Aly Abou Hashish, Hend Alnajjar, Hawazen Rawas

“…Faculty and alumni emphasized the role of accreditation in enhancing program reputation and credibility, while students highlighted its influence on their learning experiences, though they expressed a desire for more engagement and transparency in the process. …”
Get full text

Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach by Nafiseh Hosseini, Sara Saffar Soflaei, Pooria Salehi-Sangani, Mahdiyeh Yaghooti-Khorasani, Bahram Shahri, Helia Rezaeifard, Habibollah Esmaily, Gordon A. Ferns, Mohsen Moohebati, Majid Ghayour-Mobarhan

“…The association of hematological factors with PVC was evaluated using different machine learning (ML) algorithms, including logistic regression (LR), C5.0, and boosting decision tree (DT). …”
Get full text

A qualitative investigation of the influences of gender among low-socioeconomic status students’ motivations to study biology by Svetlana Masjutina, Elizabeth Stearns

“…Results Using interview data from LSES students who were participants in an externally funded scholarship program, we found that personal interests, positive learning experiences, and particularly medical career opportunities were highly influential for shaping major-related choices for LSES students, comparable to the motivations seen among biology students from all demographic groups. …”
Get full text

Australian general practice registrars’ experiences of training, well-being and support during the COVID-19 pandemic: a qualitative study by Lucie Walters, Jill Benson, Isabella White, Taryn Elliott

“…This study aims to explore the experiences of Australian GP registrars with learning, well-being and support from their training organisation during the COVID-19 pandemic, and to guide training organisation efforts to support registrars through future disasters.Setting Interviews were conducted via Zoom.Participants Fifteen GP registrars from South Australia, Victoria and New South Wales who had experienced community-based GP training in both 2019 (prepandemic) and 2020 (early pandemic).Outcome measures Training, well-being and support experiences were explored. …”
Get full text

A Reproducible Method for Donor Site Computed Tomography Measurements in Abdominally Based Autologous Breast Reconstruction by Damini Tandon, MD, Arthur Sletten, MD, PhD, Austin Ha, MD, Gary B. Skolnick, BA, MBA, Paul Commean, BEE, Terence Myckatyn, MD

“…Larger patient cohorts must be leveraged to determine correlations between abdominal CT scan findings and donor site outcomes using machine learning algorithms that generate models for predicting abdominal donor site complications.…”
Get full text

The Phenox Clot Retriever as Part of a Multimodal Mechanical Thrombectomy Approach in Acute Ischemic Stroke: Single Center Experience in 56 Patients by Sascha Prothmann, Hannah Lockau, Franziska Dorn, Holger Poppert, Annette Förschler, Claus Zimmer, Thomas Liebig

“…Both effects are partially attributable to our institutional learning curve. NIHSS improvement could be seen in 54% (𝑛=28) overall and in 73% (𝑛=15) of MCA recanalizations. …”
Get full text

Neural correlates of the non-optimal price: an MEG/EEG study by Aleksei Gorin, Elizaveta Kuznetsova, Andrew Kislov, Egor Levchenko, Vasily Klucharev, Victoria Moiseeva, Anna Yurchenko, Alexander Luzhin, Natalia Galkina, Anna N. Shestakova

“…The MEG experiment extended these findings by localizing the brain source of the price-related, M400-like response, the magnetic counterpart to the N400 component, in the ventromedial prefrontal cortex (vmPFC) and anterior cingulate cortex (ACC) implicated in value-based and reward-based learning, respectively. Our results demonstrate that both the brain sources and the timing of the price-related M400 response differed from those of the standard M400 evoked by semantically incongruent words.DiscussionOverall, our results suggest that the N400-like response can serve as a neural marker of price-product incongruity, with potential applications in consumer research.…”
Get full text

Benign regulation of short-chain fatty acids: the underlying mechanism of the beneficial effects of manual acupuncture on cognitive ability and the intestinal mucosal barrier in AP... by Ning Ding, Xin Hao, Yue Zhang, Yanxiang Zhang, Zhigang Li

“…Alterations in spatial learning and memory, intestinal barrier function, SCFAs in feces and serum, the expression of FFAR3 and NF-κB, and inflammatory cytokines were evaluated in each group.ResultsCompared with those in the C57BL/6 control (Cc) group, cognitive ability was significantly decreased, SCFAs and FFAR3 expression were obviously decreased, intestinal barrier integrity was drastically impaired, and the expression of NF-κB and the levels of intestinal IL-1β and TNF-α were increased in the APP/PS1 control (Ac) group. …”
Get full text

IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…Most existing methods for predicting IL-6-induced peptides use traditional machine learning methods, whose feature selection is based on prior knowledge. …”
Get full text