bluuebunny/crossref_metadata_2025_split huggingface dataset:
A roadmap to reduce the incidence and mortality of breast cancer by rethinking our approach to women’s health
Authors: Leggat-Barr Katherine , Yee Douglas , Duralde Erin , Hodge Caroline , Borges Virginia , Baxter Molly , Valdez Jessica , Morgan Tamandra , Garber Judy , Esserman Laura 
Published: November 2024

Abstract
Despite progress, breast cancer remains the most feared disease among women. In the USA alone, the incidence is now almost 300,000 new cancers per year, a rate that has nearly doubled in the last 30 years. Most women survive, but over 40,000 women a year still die of their disease [99]. It is the most diagnosed cancer among women and the second leading cause of cancer death. Important disparities exist in breast cancer outcomes among African American women, where women die of breast cancer at higher rates, are diagnosed younger, and at a more advanced stage. We are proposing a radical shift in our thinking about breast cancer prevention with an aspiration to dramatically lower breast cancer incidence. Most breast cancers are driven by steroid hormones. Throughout the life course, women are offered an array of hormonal treatments for menstrual cycle control, family planning, in vitro fertilization, postpartum weaning, and menopausal symptom management. There are mixed data on the extent to which each of these may contribute to increased or decreased risk for breast cancer. These endocrine manipulations could represent a great opportunity to potentially reduce breast cancer incidence and improve quality of life for survivors. To date, they have not been designed to explicitly reduce breast cancer risk. A new holistic approach will require scientists, drug developers, breast oncologists, obstetricians, gynecologists, endocrinologists, radiologists, and family medicine/internists to work together toward the common goal of reducing breast cancer risk while addressing other critical issues in women’s health.
Automatic detection of Android crypto ransomware using supervisor reduction
Authors: Chew Christopher Jun Wen , Malik Robi , Kumar Vimal , Patros Panos 
Published: November 2024

AbstractThis paper proposes a finite-state machine based approach to recognise crypto ransomware based on their behaviour. Malicious and benign Android applications are executed to capture the system calls they generate, which are then filtered and tokenised and converted to finite-state machines. The finite-state machines are simplified using supervisor reduction, which generalises the behavioural patterns and produces compact classification models. The classification models can be implemented in a lightweight monitoring system to detect malicious behaviour of running applications quickly. An extensive set of cross validation experiments is carried out to demonstrate the viability of the approach, which show that ransomware can be classified accurately with an F1 score of up to 93.8%.
Secondary school students’ strategies when interpreting histograms and case-value plots: an eye-tracking study
Authors: Boels Lonneke , Bakker Arthur , Van Dooren Wim , Drijvers Paul 
Published: November 2024

Abstract
Many students persistently misinterpret histograms. This calls for closer inspection of students’ strategies when interpreting histograms and case-value plots (which look similar but are different). Using students’ gaze data, we ask: How and how well do upper secondary pre-university school students estimate and compare arithmetic means of histograms and case-value plots? We designed four item types: two requiring mean estimation and two requiring means comparison. Analysis of gaze data of 50 students (15–19 years old) solving these items was triangulated with data from cued recall. We found five strategies. Two hypothesized most common strategies for estimating means were confirmed: a strategy associated with horizontal gazes and a strategy associated with vertical gazes. A third, new, count-and-compute strategy was found. Two more strategies emerged for comparing means that take specific features of the distribution into account. In about half of the histogram tasks, students used correct strategies. Surprisingly, when comparing two case-value plots, some students used distribution features that are only relevant for histograms, such as symmetry. As several incorrect strategies related to how and where the data and the distribution of these data are depicted in histograms, future interventions should aim at supporting students in understanding these concepts in histograms. A methodological advantage of eye-tracking data collection is that it reveals more details about students’ problem-solving processes than thinking-aloud protocols. We speculate that spatial gaze data can be re-used to substantiate ideas about the sensorimotor origin of learning mathematics.
Enhancement of heat tolerance by salt stress in Tetraselmis striata CTP4: impacts on HSP gene expression, pigments, and proximal composition
Authors: Santos Tamára F. , Pereira Hugo , Schüler Lisa , Maia Inês B. , Jacinto Rita , Bombo Gabriel , Pinheiro Filipa , Barreira Luísa , Varela João 
Published: November 2024

AbstractAs the world average temperature is on the rise and heat waves are becoming more prevalent, microalgal producers have been facing significant challenges regarding the time periods during which they are able to grow less thermotolerant microalgae in outdoor production facilities. Therefore, it is urgent to explore how microalgae cope with thermal stress and under which growth conditions tolerance to temperatures close to or higher than their maximum thermal threshold is induced. For this purpose, Tetraselmis striata CTP4, a euryhaline microalga known for its thermotolerance, was selected. Tetraselmis striata belongs to the Chlorodendrophyceae, a clade that branched off early from other "core chlorophyte" clades, usually comprised of microalgae able to colonise freshwater habitats. Here, we present compelling evidence that the ability of this microalga to withstand otherwise lethal thermal upshifts to 40 °C is induced by exposure to higher salinity (35 ppt). In contrast, this response is abrogated at lower salinities. Concomitantly, the expression of genes encoding HSP70 and HSP100, two heat shock proteins known to mediate thermotolerance and tolerance to other stresses (e.g., salt stress) in fungi, animals and plants, was enhanced when exposed to both heat stress and higher salinities. This suggests that cross-protective mechanisms against abiotic stress appeared early during the evolution of the core chlorophytes and of Archaeplastida in general. This knowledge can be used to select novel strains and growth conditions that promote thermotolerance in microalgae that are grown in outdoor industrial production facilities in environments where heat waves are expected.
On the logical substantiveness of compositionality
Authors: Wehmeier Kai F. 
Published: November 2024

AbstractGiven any set E of expressions freely generated from a set of atoms by syntactic operations, there exist trivially compositional functions on E (to wit, the injective and the constant functions), but also plenty of non-trivially compositional functions. Here we show that within the space of non-injective functions (and so a fortiori within the space of non-injective and non-constant functions), compositional functions are not sufficiently abundant in order to generate the consequence relation of every propositional logic. Logical consequence relations thus impose substantive constraints on the existence of compositional functions when coupled with the condition of non-injectivity (though not without it). We ask how the apriori exclusion of injective functions from the search space might be justified, and we discuss the prospects of claims to the effect that any function can be “encoded” in a compositional one.
Organic Metalogue Across Spaces and Places to Rethink Species Relationships in a Community of Practice
Authors: McIntyre-Mills Janet Judy 
Published: November 2024

AbstractHow can we work with diverse cultures and diverse ways of knowing whilst enabling space for diversity? Metalogues can help to avoid (or remedy) misunderstanding, leaving ideas out, speaking for or over others. It provides breathing space between the stimulus of engagement and the process of coming up with an agreed upon output or outcome. This postcolonial and non-anthropocentric approach is rooted in collegiality and a recognition of our hybridity and interconnectedness with many species; as such it celebrates ‘entangled life’ (Sheldrake 2021) with Indigenous and non Indigenous academics, leaders and community practitioners, including farmers. The paper discusses the dynamic process. Could this process be considered multispecies neuroscience in action?
Gastric Pouch Resizing for Recurrent Weight Gain After Roux-en-Y Gastric Bypass—Does It Have Its Rational?
Authors: Hehl Stefanie Josefine , Birrer Dominique Lisa , Hauser Renward , Gero Daniel , Thalheimer Andreas , Bueter Marco , Widmer Jeannette 
Published: November 2024

Abstract
Introduction
The most effective treatment for obesity and associated comorbidities is metabolic-bariatric surgery (MBS). Nevertheless, recurrent weight gain is reported in up to 40% of patients after Roux-en-Y gastric bypass (RYGB), eventually with a recurrence of obesity-associated comorbidities. Gastric pouch resizing (GPR) is performed as a low-risk secondary surgery to cease weight regain. We herewith analyzed the effect of GPR after primary RYGB on long-term weight loss, course of comorbidities, safety, and patient satisfaction.

Methods
Forty-eight patients undergoing GPR between 2016 and 2020 at the University Hospital of Zurich were included. Data were collected from a prospective database. GPR was performed laparoscopically and included a resection of the enlarged gastric pouch and a redo of the gastrojejunostomy. Additionally, 37 patients participated in a survey to evaluate PROMs (patient-reported outcome measures).

Results
GPR followed RYGB after a mean time of 106.2 ± 45.5 months at a mean BMI of 39 ± 5.4 kg/m2. Mean follow-up was 55.9 ± 18.5 months with a mean BMI 1- and 5-years postoperative of 37 ± 5.5 kg/m2 and 35 ± 7.5 kg/m2, respectively. Obesity-associated comorbidities were resolved in 53% of patients at follow-up (p < 0.05). Minor postoperative complications occurred in 12.5% while major complications occurred in 10.4% of patients. The PROMs showed high levels of satisfaction after GPR.

Conclusion
GPR for recurrent weight gain after primary RYGB is a safe procedure resulting in weight stabilization and resolution of obesity-associated comorbidities. It is thus a valuable surgical option in well-selected patients.

Graphical Abstract
Mental constructions for the learning of the concept of vector space
Authors: Trigueros María , Cabrera Angel Can , Aguilar Mario Sánchez 
Published: November 2024

AbstractThis study contributes to the literature on linear algebra instruction by designing and researching a teaching sequence based on APOS Theory to introduce engineering students to vector spaces. The sequence offers students multiple opportunities to understand the concept. Another contribution is the evidence that introducing prerequisite concepts—such as equality, sets, and binary operations—before tackling vector space was crucial for grasping the role of proof in determining whether a set is a vector space. The findings confirm that, as other studies have shown, vector space is challenging for students. However, the results demonstrate that students were able to face this challenge. All students showed evidence of developing an understanding of the concept, with nine achieving a clear grasp of vector space and the role of proof by the end of the experience. Additionally, the progress observed—from having difficulties with symbols to successfully proving statements involving unconventional operations—underscores the effectiveness of the teaching approach.
Surface Functionalized Plasmonic Sensors for Uric Acid Detection With Gold-Graphene Stacked Nanocomposites
Authors: Onifade Olabisi Abdullahi , Mohamad Azri Dinie Dayana , Abu Bakar Muhammad Hafiz , Alresheedi Mohammed Thamer , Ng Eng Khoon , Mahdi Mohd Adzir , Muhammad Noor Ahmad Shukri 
Published: November 2024

AbstractThis study presented a surface-functionalized sensor probe using 3-aminopropyltriethoxysilane (APTES) self-assembled monolayers on a Kretschmann-configured plasmonic platform. The probe featured stacked nanocomposites of gold (via sputtering) and graphene quantum dots (GQD, via spin-coating) for highly sensitive and accurate uric acid (UA) detection within the physiological ranges. Characterization encompassed the field emission scanning electron microscopy for detailed imaging, energy-dispersive X-ray spectroscopy for elemental analysis, and Fourier transform infrared spectroscopy for molecular identification. Surface functionalization increased sensor sensitivity by 60.64%, achieving 0.0221 °/(mg/dL) for the gold-GQD probe and 0.035 5 °/(mg/dL) for the gold-APTES-GQD probe, with linear correlation coefficients of 0.8249 and 0.8509, respectively. The highest sensitivity was 0.070 6 °/(mg/dL), with a linear correlation coefficient of 0.993 and a low limit of detection of 0.2 mg/dL. Furthermore, binding affinity increased dramatically, with the Langmuir constants of 14.29 µM−1 for the gold-GQD probe and 0.000 1 µM−1 for the gold-APTES-GQD probe, representing a 142 900-fold increase. The probe demonstrated notable reproducibility and repeatability with relative standard deviations of 0.166% and 0.013%, respectively, and exceptional temporal stability of 99.66%. These findings represented a transformative leap in plasmonic UA sensors, characterized by enhanced precision, reliability, sensitivity, and increased surface binding capacity, synergistically fostering unprecedented practicality.
Techno-Economic Analysis of Grid-Connected Highway Solar EV Charging Station
Authors: Eom Dongguen , Choi Jihwan , Song Junseok , Park Byunghwa , Kim Sung Jae , Park Sangwook 
Published: November 2024

Abstract
Solar electric vehicle (EV) charging stations offer a promising solution to an environmental issue related to EVs by supplying eco-friendly electricity. Herein, we designed and analyzed a grid-connected highway solar EV charging station for 2022, 2030, and 2050 under two scenarios: Current policy scenario with restricted grid sales and policy mitigation scenario allowing grid sale. Future systems consider changes in EV charging station, grid CO2 emissions, carbon prices, and renewable costs. In 2022, high PV and battery costs led to a grid-only system. By 2030 and 2050, significant reductions in PV costs enabled systems with substantial PV capacity, especially under the policy mitigation scenario. Economic analysis showed that enabling grid sales reduces net present cost (NPC) by 40% in 2030 and 35% in 2050 compared to the current policy scenario, with significantly lower levelized cost of energy. CO2 emissions from EV operation are projected to be 44% and 3% of 2022 levels by 2030 and 2050, respectively. The policy mitigation scenario further reduces CO2 emissions by 22% in 2030 and 25% in 2050 compared to the current policy scenario. Sensitivity analyses reveal that increased grid sale capacity leads to higher renewable penetration and lower NPC but also increased grid congestion, highlighting the need for efficient grid management. Policymakers should consider revising regulations to support higher PV penetration and manage grid congestion. This study supports the transition to renewable systems and underscores the importance of policy measures in achieving sustainable energy goals.
The paramodular Hecke algebra
Authors: Johnson-Leung Jennifer , Parker Joshua , Roberts Brooks 
Published: November 2024

AbstractWe give a presentation via generators and relations of the local graded paramodular Hecke algebra of prime level. In particular, we prove that the paramodular Hecke algebra is isomorphic to the quotient of the free $${{\mathbb {Z}}}$$
Z
-algebra generated by four non-commuting variables by an ideal generated by seven relations. Using this description, we derive rationality results at the level of characters and give a characterization of the center of the Hecke algebra. Underlying our results are explicit formulas for the product of any generator with any double coset.
Matrices with hyperbolical Krein space numerical range
Authors: Bebiano N. , Lemos R. , Soares G. 
Published: November 2024

Abstract
This paper is devoted to matrices with hyperbolical Krein space numerical range. This shape characterizes the 2-by-2 case and persists for certain classes of matrices, independently of their size. Necessary and sufficient conditions for low dimensional tridiagonal matrices to have this shape are obtained involving only the matrix entries.
An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model
Authors: Sharma Vipul , Ahirwal Mitul Kumar 
Published: November 2024

AbstractIn this paper, a new cascade one-dimensional convolutional neural network (1DCNN) and bidirectional long short-term memory (BLSTM) model has been developed for binary and ternary classification of mental workload (MWL). MWL assessment is important to increase the safety and efficiency in brain–computer interface (BCI) systems and professions, where multi-tasking is required. Keeping in mind the necessity of MWL assessment, a two-fold study is presented, firstly binary classification is done to classify MWL into low and high classes. Secondly, ternary classification is applied to classify MWL into low, moderate, and high classes. The cascaded1DCNN-BLSTM deep learning architecture has been developed and tested over the Simultaneous task EEG workload (STEW) dataset. Unlike recent research in MWL, handcrafted feature extraction and engineering are not done, rather end-to-end deep learning is used over 14 channel EEG signals for classification. Accuracies exceeding the previous state-of-the-art studies have been obtained. In binary and ternary classification accuracies of 96.77% and 95.36%have been achieved with sevenfold cross-validation, respectively.
Coal structure evaluation and morphological properties that affect the coal usage in industries
Authors: Gaesenngwe Gaesenngwe , Danha Gwiranai , Mamvura Tirivaviri Augustine , Raghupatruni Prasad Ventaka Satya 
Published: November 2024

AbstractThe contemporary research article is central to understanding coal structure evaluation and the morphological development impacting its utilization in different applications. Through Mineral Liberation Analysis (MLA) designs high content phyllosilicates minerals and swelling clay minerals were rationalized to provides a novel insight into enhanced coal beneficiation and the benefits of coal by-product re-utilization progressions that encourage safer environments and economic sustainability. This work commences with collection of five (5) different coal samples from the central district region in Botswana, sample characterization deploying Thermogravimetric coal analysis (TGA), x-ray fluorescence spectroscopy (XRF), x-ray diffraction (XRD), scanning electron microscopy (SEM) and the Hardgrove Grindability Index (HGI) test that was directed to quantification of the coal hardness and fracture toughness during milling. The cumulative objective was to understand the correlation that exists between the natural composition of the coal sample and their adaptation and application in various carbonaceous products. A solid connection was thus identified in the sulfur and phosphorus weight percentage inclusions in all the coal materials hence higher significance in sphalerite mineral phases (Zn, Fe) S critically increased the fracture toughness and hardness properties. Moreover, mineral amalgams intrinsic to the coal maceral such as aluminum oxides (Al2O3), silicate (SiO2), calcites (CaO), Iron oxide (Fe2O3), potassium feldspars (K − AlSi3O8), albite (Na − AlSi3O8), and anorthite (Ca − Al2Si2O8) compounds in alkali feldspars were detected in larger quantities. The coal industry has attracted much industrial attention to manufacturing foundations producing cement, ceramic tiles, paving bricks, and material synthesis and will continue to supply other economic sectors in the conceivable future.
Graphical Abstract
Human and Nature in Physical Education and Health: A Diffractive Analysis of Policy Documents
Authors: Isaksson Karin , Backman Erik 
Published: November 2024

AbstractThe research field of physical education and health (PEH) holds a great potential for exploring environmental issues, but the interest has been scarce. In this paper, we aim to trouble the separation of humans and nature, which has long been reproduced in PEH research and practice. To frame the problem, we turn to environmental education (EE) research, where scholars have argued that the human/nature divide serves as a foundation for environmental degradation. Drawing on Karen Barad’s posthumanist framework of agential realism, we explore the emerging conceptualisations of humans and nature when Swedish PEH policy documents are diffractively read through previous research, the concept of agential cuts and our own historicities. The analysis is presented through three diffraction patterns emerging around movement, health and indoors/outdoors, phenomena which are central not only to PEH but also to EE. We conclude that thinking with diffraction can open spaces within PEH educational policy for reimagining existing binaries between humans and nature. In this way, PEH practice might contribute to troubling the foundations for environmental injustices and issues of unsustainability.
Virtuous Misanthropes
Authors: HALWANI RAJA 
Published: November 2024

ABSTRACT
Recent discussions of misanthropy consider misanthropy to be cognitive at its core, consisting of the judgment that humanity is a failure. If this judgment is justified, then one question is whether one can be both a misanthrope and virtuous. This article argues that cognitive misanthropes can adopt a sympathetic outlook on humanity which is a necessary step for being virtuous. This is because the sympathetic outlook requires the virtue of practical wisdom, a special virtue in being either necessary or necessary and sufficient for other virtues. The article then argues that virtue is open to even some misanthropes whose misanthropy is also affective. Given that dislike is a common affective state among misanthropes, the article focuses on misanthropes who dislike humanity (as opposed to those who, say, hate it or view it with contempt) and argues that dislike is compatible with virtue. Misanthropes are thus not condemned to non-virtuous lives.
Supererogation, Suberogation, and Maximizing Expected Choiceworthiness
Authors: Sung Leora Urim 
Published: November 2024

AbstractRecently, several philosophers have argued that, when faced with moral uncertainty, we ought to choose the option with the maximal expected choiceworthiness (MEC). This view has been challenged on the grounds that it is implausibly demanding. In response, those who endorse MEC have argued that we should take into account the all-things-considered choiceworthiness of our options. I argue that this gives rise to another problem: acts that we consider to be supererogatory are rendered impermissible, and acts that we consider to be suberogatory are rendered obligatory, under MEC. I suggest a way to reformulate MEC to solve this problem.