bluuebunny/crossref_metadata_2025_split huggingface dataset:
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography
Authors: Cho Kyungjin , Kim Ki Duk , Jeong Jiheon , Nam Yujin , Kim Jeeyoung , Choi Changyong , Lee Soyoung , Hong Gil-Sun , Seo Joon Beom , Kim Namkug 
Published: February 2024

AbstractRecent advances in contrastive learning have significantly improved the performance of deep learning models. In contrastive learning of medical images, dealing with positive representation is sometimes difficult because some strong augmentation techniques can disrupt contrastive learning owing to the subtle differences between other standardized CXRs compared to augmented positive pairs; therefore, additional efforts are required. In this study, we propose intermediate feature approximation (IFA) loss, which improves the performance of contrastive convolutional neural networks by focusing more on positive representations of CXRs without additional augmentations. The IFA loss encourages the feature maps of a query image and its positive pair to resemble each other by maximizing the cosine similarity between the intermediate feature outputs of the original data and the positive pairs. Therefore, we used the InfoNCE loss, which is commonly used loss to address negative representations, and the IFA loss, which addresses positive representations, together to improve the contrastive network. We evaluated the performance of the network using various downstream tasks, including classification, object detection, and a generative adversarial network (GAN) inversion task. The downstream task results demonstrated that IFA loss can improve the performance of effectively overcoming data imbalance and data scarcity; furthermore, it can serve as a perceptual loss encoder for GAN inversion. In addition, we have made our model publicly available to facilitate access and encourage further research and collaboration in the field.
Breast cancer diagnosed after age 70 years in Israeli BRCA1/BRCA2 pathogenic sequence variant carriers: a single institution experience
Authors: Bufman Hila , Faermann Renata , Halshtok-Neiman Osnat , Shalmon Anat , Gotlieb Michael , Samoocha David , Yagil Yael , Feldman Dana Madorsky , Friedman Eitan , Sklair-Levy Miri 
Published: February 2024

Abstract
Purpose
A semi-annual surveillance scheme from age 25 to 30 years is offered to BRCA1/BRCA2 pathogenic sequence variants (PSVs) carriers for early detection of breast cancer (BC). There is a paucity of data on the yield of adhering to this scheme beyond 70 years of age.

Methods
Female BRCA1/BRCA2 PSV carriers followed at the Meirav high-risk clinic, Sheba Medical center, Israel were eligible. Type and frequencies if use of Imaging modalities, breast biopsies and histological outcomes for participants after age 70 years were retrieved and analyzed.

Results
Overall, the study encompassed 88 consenting participants (46 BRCA1 carriers) mean age ± SD 73.7 ± 3.3 years (range 70–90 years), followed for an average of 3.8 years (range 1–11 years). Ten carriers (11.3%) were diagnosed with BC after age 70 years (mean age at diagnosis 72 ± 2 years) and an additional case was diagnosed with breast lymphoma. The imaging modality that has led to most diagnoses was MRI (8/11 cases). Eight of these ten cases were previously diagnosed with BC prior to age 70 and in six, BC past 70 years was in the contralateral breast. The lesions size averaged 1.29 ± 0.75 cm, with IDC and DCIS diagnosed in five cases each, and none had lymph node involvement.

Conclusion
In ~10% of BRCA1/BRCA2 PSV carriers BC is diagnosed by breast imaging after age 70 years. If these results are validated in a larger study, the guidelines for the maximum age for BC surveillance in high risk women should be revisited and set at 75 years.
Event-Based Guidance and Incremental Control with Application to Fixed-wing Unmanned Aerial Vehicle Perched Landing Maneuvers
Authors: Song Yansui , Sun Shaoshan , Tao Chenggang , He Zhen , Xu Bin 
Published: February 2024

AbstractConsidering the nonlinearity and unknown dynamics of fixed-wing unmanned aerial vehicles in perched landing maneuvers, an event-based online guidance and incremental control scheme is proposed. The guidance trajectory for perched landing must be dynamically feasible therefore an event-based trapezoidal collocation point optimization method is proposed. Introduction of the triggering mechanism for the rational use of computing resources to improve PL accuracy. Furthermore, a filter-based incremental nonlinear dynamic inverse (F-INDI) control with state transformation is proposed to achieve robust trajectory tracking under high angle of attack (AOA). The F-INDI uses low-pass filters to obtain incremental dynamics of the system, which simplifies the design process. The state transformation strategy is to convert the flight-path angle, AOA and velocity into two composite dynamics, which avoids the sign reversal problem of control gain under high AOA. The stability analysis shows that the original states can be controlled only by controlling the composite state. Simulation results show that the proposed scheme achieves high perched landing accuracy and a reliable trajectory tracking control.
Photocatalytic Degradation of Methylene Blue Dye by Promising Zinc Copper Ferrite Nanoparticles for Wastewater Treatment
Authors: Abuzeyad Osama H. , El-Khawaga Ahmed M. , Tantawy Hesham , Gobara Mohamed , Elsayed Mohamed A. 
Published: February 2024

AbstractIn this work, crystalline copper-zinc ferrite nanoparticles were synthesized by a simple co-precipitation method. Morphological characterization of produced samples was done using a scanning electron microscope (SEM). A transmission electron microscope (TEM) was utilised for further identification and confirmation of the particle morphology and size. Moreover, Fourier transformation infrared (FTIR) spectroscopy and X-ray diffraction (XRD) was employed to examine crystalline structure, chemical structure, and surface area respectively. Optical properties were examined by UV–Vis spectroscopy. The results indicate that the Zn0.5Cu0.5Fe2O4 nanoparticles’ crystallite size was 28.5 nm. The experiments focused on the impact of various factors, such as pH levels, initial MB concentration, and nanocatalyst dosage, on the observed photocatalytic efficiency. The photocatalytic performance of Zn0.5Cu0.5Fe2O4 nanoparticles under UV light was evaluated by decolorization of Methylene Blue (MB) azo dye. Photocatalysis degradation of 10 ppm of MB adding 15 mg of Zn0.5Cu0.5Fe2O4 nanoparticles was 94% after 135 min at room temperature and pH value of 9. Further interpretation was carried out and a proposed mechanism for the MB photodegradation by Zn0.5Cu0.5Fe2O4 nanoparticles was suggested.
Coronary microthrombi in the failing human heart: the role of von Willebrand factor and PECAM-1
Authors: Kostin Sawa , Giannakopoulos Theodoros , Richter Manfred , Krizanic Florian , Sasko Benjamin , Ritter Oliver , Pagonas Nikolaos 
Published: February 2024

AbstractThe recognition of microthrombi in the heart microcirculation has recently emerged from studies in COVID-19 decedents. The present study investigated the ultrastructure of coronary microthrombi in heart failure (HF) due to cardiomyopathies that are unrelated to COVID-19 infection. In addition, we have investigated the role of von Willebrand factor (VWF) and PECAM-1 in microthrombus formation. We used electron microscopy to investigate the occurrence of microthrombi in patients with HF due to dilated (DCM, n = 7), inflammatory (MYO, n = 6) and ischemic (ICM, n = 7) cardiomyopathy and 4 control patients. VWF and PECAM-1 was studied by quantitative immunohistochemistry and Western blot. In comparison to control, the number of microthrombi was increased 7–9 times in HF. This was associated with a 3.5-fold increase in the number of Weibel–Palade bodies (WPb) in DCM and MYO compared to control. A fivefold increase in WPb in ICM was significantly different from control, DCM and MYO. In Western blot, VWF was increased twofold in DCM and MYO, and more than threefold in ICM. The difference between ICM and DCM and MYO was statistically significant. These results were confirmed by quantitative immunohistochemistry. Compared to control, PECAM-1 was by approximatively threefold increased in all groups of patients. This is the first study to demonstrate the occurrence of microthrombi in the failing human heart. The occurrence of microthrombi is associated with increased expression of VWF and the number of WPb, being more pronounced in ICM. These changes are likely not compensated by increases in PECAM-1 expression.
Classification of walnut dataset by selecting CNN features with whale optimization algorithm
Authors: Karadeniz Alper Talha , Başaran Erdal , Çelik Yüksel 
Published: February 2024

AbstractSince many years ago, walnuts have been extensively available around the world and come in various quality varieties. The proper variety of walnut can be grown in the right area and is vital to human health. This fruit's production is time-consuming and expensive. However, even specialists find it challenging to differentiate distinct kinds since walnut leaves are so similar in color and feel. There aren't many studies on the classification of walnut leaves in the literature, and the most of them were conducted in laboratories. The classification process can now be carried out automatically from leaf photos thanks to technological advancements. The walnut data set was applied to the suggested deep learning model. There aren't many studies on the classification of walnut leaves in the literature, and the most of them were conducted in laboratories. The walnut data set, which consists of 18 different types of 1751 photos, was used to test the suggested deep learning model. The three most successful algorithms among the commonly utilized CNN algorithms in the literature were first selected for the suggested model. From the Vgg16, Vgg19, and AlexNet CNN algorithms, many features were retrieved. Utilizing the Whale Optimization Algorithm (WOA), a new feature set was produced by choosing the top extracted features. KNN is used to categorize this feature set. An accuracy rating of 92.59% was attained as a consequence of the tests.
Development of an Automated Experimental System for Thermomechanical and Electrical Characterization of NiTi Shape Memory Alloys
Authors: Rodinò S. , Siciliano M. , Curcio E. M. , Lamonaca F. , Carnì D. L. , Carbone G. , Maletta C. 
Published: February 2024

Abstract
Background
Comprehensive datasets quantifying the coupled thermo-mechanical and electrical properties of shape memory alloys (SMAs) are lacking, as are standardized techniques for robust characterization. This hampers accurate modeling and design of SMA-based components. Objective: This work develops an automated experimental system to enable simultaneous measurement of stress-strain-temperature behavior and electrical resistivity evolution in NiTi SMA wires under controlled stress conditions. Methods: Customized test frames apply precise mechanical stresses while allowing for in situ electrical measurements and infrared imaging during complete thermal cycling protocols. Specialized instrumentation including a Keithley 2002 multimeter, Agilent E3631A programmable power supply, and FLIR A615 thermal camera are integrated with LabVIEW-based software routines for complete automation of the characterization process. Rigorous metrology principles are implemented throughout the measurement procedure to improve accuracy, repeatability, and consistency compared to prior manual techniques. Results: Extensive datasets are generated which reveal pronounced stress-dependencies in key SMA material parameters including transformation temperatures, recoverable strain, and electrical resistivity. A 3D regression model describes the comprehensive relationship between resistivity, temperature, and applied stress across the entire characterization domain. Conclusions: The automated measurement framework and methodology establishes a foundation for high-fidelity, reliable acquisition of coupled SMA property data. This will enable more accurate modeling and design of components and systems incorporating SMA actuation or sensing functions.
Taking adaptive learning in educational settings to the next level: leveraging natural language processing for improved personalization
Authors: Mejeh Mathias , Rehm Martin 
Published: February 2024

AbstractEducational technology plays an increasingly significant role in supporting Self-Regulated Learning (SRL), while the importance of Adaptive Learning Technology (ALT) grows due to its ability to provide personalized support for learners. Despite recognizing the potential of ALT to be influential in SRL, effectively addressing pedagogical concerns about using ALT to enhance students’ SRL remains an ongoing challenge. Consequently, learners can develop perceptions that ALT is not customized to their specific needs, resulting in critical or dismissive attitudes towards such systems. This study therefore explores the potential of combining Natural Language Processing (NLP) to enhance real-time contextual adaptive learning within an ALT to support learners’ SRL. In addressing this question, our approach consisted of two steps. Initially, we focused on developing an ALT that incorporates learners’ needs. Subsequently, we explored the potential of NLP to capture pertinent learner information essential for providing adaptive support in SRL. In order to ensure direct applicability to pedagogical practice, we engaged in a one-year co-design phase with a high school. Qualitative data was collected to evaluate the implementation of the ALT and to check complementary possibilities to enhance SRL by potentially adding NLP. Our findings indicate that the learning technology we developed has been well-received and implemented in practice. However, there is potential for further development, particularly in terms of providing adaptive support for students. It is evident that a meaningful integration of NLP and ALT holds substantial promise for future enhancements, enabling sustainable support for learners SRL.
A Systematized Review on the Applications of Hyperspectral Imaging for Quality Control of Potatoes
Authors: Peraza-Alemán Carlos Miguel , López-Maestresalas Ainara , Jarén Carmen , Rubio-Padilla Niuton , Arazuri Silvia 
Published: February 2024

AbstractThe application of hyperspectral imaging (HSI) has gained significant importance in the past decade, particulary in the context of food analysis, including potatoes. However, the current literature lacks a comprehensive systematic review of the application of this technique in potato cultivation. Therefore, the aim of this work was to conduct a systematized review by analysing the most relevant compounds, diseases and stress factors in potatoes using hyperspectral imaging. For this purpose, scientific studies were retrieved through a systematic keyword search in Web of Science and Scopus databases. Studies were only included in the review if they provided at least one set of quantitative data. As a result, a total of 52 unique studies were included in the review. Eligible studies were assigned an in-house developed quality scale identifying them as high, medium or low risk. In most cases the studies were rated as low risk. Finally, a comprehensive overview of the HSI applications in potatoes was performed. It has been observed that most of the selected studies obtained better results using linear methods. In addition, a meta-analysis of studies based on regression and classification was attempted but was not possible as not enough studies were found for a specific variable.
Power-to-X strategies for Smart Energy Regions: a vision for green hydrogen valleys
Authors: Battaglia Vittoria , Vanoli Laura 
Published: February 2024

AbstractFuture energy systems will have to face the challenge of managing surplus electricity from renewable sources. In this context, technologies like electrolyzers could play a key role since they can convert this surplus into hydrogen. The study aims to develop an energy strategy for the Campania region, in Italy, aligning with 2050 European CO2 reduction targets. It utilizes detailed bottom-up modeling and dynamic simulations to propose a scenario emphasizing extensive integration of renewable energy sources, particularly using Power-to-Gas technologies to convert surplus electricity into hydrogen for the transportation sector. This approach leads to abating the significant surplus of around 2.4 TWh/year produced by renewables and enables it to cover about 10% of transport sector consumption by hydrogen, boosting the overall share of renewable energy.
Applying Participatory Research in the Development of Clinical Practice Recommendations for Incorporating Mindfulness into Mental Health Treatment with Youth at Risk for Psychosis
Authors: O’Shea Melissa , Reich Daniel , Evans Subhadra 
Published: February 2024

AbstractMindfulness is a promising adjunct strategy that clinicians can use with individuals at risk for psychosis to help manage their distressing symptoms and difficulties with daily functioning. This article explores how mental health clinicians can support young people to safely engage with mindfulness practices as part of their overall recovery through the development of specific guidance for the implementation of mindfulness programs within routine clinical care. A collaborative approach was taken to the development of the recommendations through the adoption of participatory research principles across three phases. The first two phases were published elsewhere. In Phase 3, initial recommendations were formulated, in consideration of the findings of Phases 1 (evidence mapping) and 2 (qualitative analysis of the perspectives of practitioners with experience working with young people at risk for psychosis, and youth at risk for psychosis,﻿ regarding the use of mindfulness as an adjunct to usual treatment) and existing mindfulness intervention protocols for psychosis. Initial recommendations were fed back to the practitioner group used in Phase 2 in a validation cycle to ensure recommendations matched their views and for final endorsement. Eight key recommendation areas with corresponding clinical practice points were endorsed, highlighting the practical utility of the recommendations. Recommendations included the benefit of youth-relevant mindfulness content and adapting mindfulness to young people’s needs, the importance of trauma-informed principles, the utility of compassion-based practices, and key ways to address barriers to mindfulness uptake for youth at risk for psychosis. It is anticipated that through the implementation of these recommendations, safe and effective implementation of mindfulness interventions within early intervention practice will improve outcomes for young people experiencing attenuated psychotic symptoms and associated morbidity.
Quantum ontology without textbooks. Nor overlapping
Authors: Lopez Cristian 
Published: February 2024

AbstractIn this paper, I critically assess two recent proposals for an interpretation-independent understanding of non-relativistic quantum mechanics: the overlap strategy (Fraser & Vickers, 2022) and the textbook account (Egg, 2021). My argument has three steps. I first argue that they presume a Quinean-Carnapian meta-ontological framework that yields flat, structureless ontologies. Second, such ontologies are unable to solve the problems that quantum ontologists want to solve. Finally, only structured ontologies are capable of solving the problems that quantum ontologists want to solve. But they require some dose of speculation. In the end, I defend the conservative way to do quantum ontology, which is (and must be) speculative and non-neutral.
Spatio-temporal distribution of adults and eggs of the West Indian sweetpotato weevil Euscepes postfasciatus (Coleoptera: Curculionidae) on sweet potato stems
Authors: Urasaki Kimiko , Matsumura Kentarou , Miyatake Takahisa 
Published: February 2024

AbstractThe West Indian sweetpotato weevil, Euscepes postfasciatus, a serious pest of sweet potatoes, is being eradicated by sterile insect technique (SIT) in the south-western islands of Japan. Information on the diurnal movement of the target pests on host plants and where mating and egg-laying behavior occurs on the host is important for the application of SIT, which eradicates the target pest through mating of released sterile males and wild females. However, little such information is available on this species. In this study, male and female adults were released on host plants to examine the diurnal distribution on seedlings according to sex, as well as the sites where mounting behavior and egg laying occurs. The results showed that females left the host plant more frequently at night, whereas males were more likely to remain on the host plant at night. Both males and females stayed on the nodes of the host plant during the daytime. Mounting behavior also tended to occur more often at nodes. Furthermore, compared to unmated females, mated females stayed at the vertical top of the seedlings. However, it was found that eggs were often laid close to the roots rather than at the top of the vertical stems, even when the seedlings were placed upside down. The results of previous studies and this study will be discussed from the perspective of the application of SIT against E. postfasciatus.
An Overview of Office Hysteroscopy
Authors: Wright Kelly N. , Hamilton Kacey , Kosturakis Alyssa 
Published: February 2024

Abstract
Purpose of Review
Office hysteroscopy (OH) is safe and effective for diagnosing and managing intrauterine pathology. Newer technology like smaller cameras, improved tissue removal devices, and recommendations for pain control now make OH comfortable for both the physician and patient, with OH having a very high level of patient satisfaction. Despite these benefits, OH remains significantly underutilized in the United States. This review aims to outline the current capabilities, technology, and patient and physician factors associated with successful OH.

Recent Findings
OH aids in the diagnosis of abnormal uterine bleeding, the most common reason for visits to the gynecologist, and can treat some causes in the same visit. Pathology most conducive to treatment with OH includes endometrial polyps, uterine septa, retained products of pregnancy, adhesions, and retained intrauterine devices (IUDs). When performing OH, equipment selection should be based on the type of procedure planned. Care should be taken to attempt to reduce pain and anxiety during OH, with recommended methods including preprocedural NSAIDs, vaginoscopy, and appropriate counseling and anxiety reduction.

Summary
Appropriate patient selection is essential for both patient and physician comfort when performing OH. Further research and technology improvement can continue to increase comfort and performance in the office.