bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
Authors: de la Asunción-Nadal Víctor , Pacheco Marta , Jurado-Sánchez Beatriz , Lapeira Estela , Aginagalde Maialen , Bou-Ali M. Mounir , Escarpa Alberto 
Published: March 2024

AbstractThermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive thermohydrodynamic approach for fast cell manipulation using a microfluidic open-to-air device. Cell discrimination is achieved by simply changing the temperature gradient toward the control of the convective effect on their displacement. First, the size and morphology/roughness-based motion capabilities were modeled using polystyrene (PS) microparticles with different sizes (5 and 20 μm) and polycaprolactone (PCL) microspheres, respectively. Computational fluid dynamics simulations of the generated flow were also carried out to demonstrate the influence of both the thermohydrodynamic and Marangoni effects in the PS particle displacement, where the thermally induced convective effect was not enough to move the microparticles inside the channel, but the combination of thermally induced convection together with the Marangoni effect. Indeed, small particles (5 μm) followed a full convective path, whereas the bigger ones (20 μm) exhibited a rolling motion on the substrate from the cold side to the hot side. Also, the relationship between in-flow speed and PCL (≈ 20 μm) surface roughness confirmed the driving force of this convection-based approach. Then, the microfluidic device was successfully used to separate Henrietta Lacks cancer cells (HeLa) from red blood (RBCs) and fibroblast (HFF-1) cells. To this end, thermal gradients were tailored to achieve the desired thermohydrodynamic effect, showing a highly versatile performance. Both cell models (HeLa-RBCs and HeLa-HFF-1), due to rationale tweaking of the imposed temperature gradients (ΔT = 10 K, 303–293 K, and ΔT = 5 K, 303–298 K), were efficiently separated in less than 5 and 60 s, respectively; with excellent cell viabilities. The proposed microfluidic approach holds considerable promise for thermohydrodynamic sorting and manipulation of biological material by non-invasive methods using portable instrumentation. The potential parallelization of the thermal-convective approach opens new avenues for early disease diagnosis (liquid biopsies) or the study of biological systems, even at physiological temperatures with a potential impact in cell (organ)-on-a-chip technologies.
Thermal deformation monitoring of a highway bridge: combined analysis of geodetic and satellite-based InSAR measurements with structural simulations
Authors: Lorenz R. , Petryna Y. , Lubitz C. , Lang O. , Wegener V. 
Published: March 2024

AbstractStructural Health Monitoring (SHM) of civil engineering structures is experiencing an increasing progress in the last decades. The present work focuses on the static behavior of a highway bridge due to environmental temperature effects. The goal of the present study was to test the applicability of the satellite-based synthetic aperture radar interferometry (InSAR) for deformation monitoring of a large, curved highway bridge and to compare the obtained results with alternative measurement techniques like classical geodesy surveying and with an advanced computer simulation. Such a comparison is quite rare and provides an important insight into the accuracy, efficiency and limitations of the InSAR technique in the context of SHM. Especially interesting was the question whether the InSAR technique is suitable for blind monitoring of a cluster of bridges in the region of interest. The present study shows that a pre-knowledge about each structure can be very important for a reliable interpretation of the InSAR measurement results. The second challenge of the study was to overcome several objective difficulties of combining and comparing quite different monitoring techniques that result from different sampling rates, measurement points and other specific features and sensitivities. Nevertheless, a suitable approach has been developed and implemented in the present study for the InSAR and total station measurements, providing new results and important knowledge about novel SHM techniques.
Relative controllability of linear state-delay fractional systems
Authors: Mahmudov Nazim I. 
Published: March 2024

AbstractIn this paper, our focus is on exploring the relative controllability of systems governed by linear fractional differential equations incorporating state delay. We introduce a novel counterpart to the Cayley-Hamilton theorem. Leveraging a delayed perturbation of the Mittag-Leffler function, along with a determining function and an analog of the Cayley-Hamilton theorem, we establish an algebraic Kalman-type rank criterion for assessing the relative controllability of fractional differential equations with state delay. Moreover, we articulate necessary and sufficient conditions for relative controllability criteria concerning linear fractional time-delay systems, expressed in terms of a new $$\alpha $$
α
-Gramian matrix and define a control which transfer the system from any initial state to any final state within a given time. The theoretical findings are exemplified through the presentation of illustrative examples.
Incidence and Mitigation of Corneal Pseudomicrocysts Induced by Antibody–Drug Conjugates (ADCs)
Authors: Lindgren Ethan S. , Yan Rongshan , Cil Onur , Verkman Alan S. , Chan Matilda F. , Seitzman Gerami D. , Farooq Asim V. , Huppert Laura A. , Rugo Hope S. , Pohlmann Paula R. , Lu Janice , Esserman Laura J. , Pasricha Neel D. 
Published: March 2024

Abstract
Purpose of Review
This study is to highlight the incidence of corneal pseudomicrocysts in FDA-approved antibody–drug conjugates (ADCs), and success of preventive therapies for pseudomicrocysts and related ocular surface adverse events (AEs).

Recent Findings
ADCs are an emerging class of selective cancer therapies that consist of a potent cytotoxin connected to a monoclonal antibody (mAb) that targets antigens expressed on malignant cells. Currently, there are 11 FDA-approved ADCs with over 164 in clinical trials. Various AEs have been attributed to ADCs, including ocular surface AEs (keratitis/keratopathy, dry eye, conjunctivitis, blurred vision, corneal pseudomicrocysts). While the severity and prevalence of ADC-induced ocular surface AEs are well reported, the reporting of corneal pseudomicrocysts is limited, complicating the development of therapies to prevent or treat ADC-related ocular surface toxicity.

Summary
Three of 11 FDA-approved ADCs have been implicated with corneal pseudomicrocysts, with incidence ranging from 41 to 100% of patients. Of the six ADCs that reported ocular surface AEs, only three had ocular substudies to investigate the benefit of preventive therapies including topical steroids, vasoconstrictors, and preservative-free lubricants. Current preventive therapies demonstrate limited efficacy at mitigating pseudomicrocysts and other ocular surface AEs.
Narrative review of data supporting alternate first-line therapies over metformin in type 2 diabetes
Authors: Andraos John , Smith Shawn R. , Tran Amanda , Pham David Q. 
Published: March 2024

Abstract
Purpose
Metformin has been the first-line treatment for type 2 diabetes mellitus as monotherapy or concomitantly with other glucose-lowering therapies due to its efficacy, safety, and affordability. Recent studies on the cardioprotective and renoprotective benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have influenced guidelines on diabetes management to consider these newer agents as alternative first-line therapies. This paper explores the literature supporting the use of these newer medications alone as a first-line agent in place of metformin.

Methods
A review of citations from the most recent guidelines along with a literature search via PubMed was completed to review (1) what, historically, made metformin first-line (2) if newer agents’ benefits remain when used without metformin (3) how newer agents compare against metformin when used without it.

Results
Evaluation of the historical literature was completed to summarize the key findings that support metformin as a first-line therapy agent. Additionally, an assessment of the literature reveals that the benefits of these two newer classes are independent of concomitant metformin therapy. Finally, studies have demonstrated that these newer agents can be either non-inferior or sometimes superior to metformin when used as monotherapy.

Conclusion
GLP-1 RA and SGLT-2i can be considered as first line monotherapies for select patients with high cardiovascular risks, renal disease, or weight loss requirements. However, pharmacoeconomic considerations along with lesser long-term safety outcomes should limit these agents’ use in certain patients as the management of diabetes continues to transition towards shared-decision making.
Public Health Risks of PFAS-Related Immunotoxicity Are Real
Authors: Bline Abigail P. , DeWitt Jamie C. , Kwiatkowski Carol F. , Pelch Katherine E. , Reade Anna , Varshavsky Julia R. 
Published: March 2024

Abstract
Purpose of Review
The discovery of per- and polyfluoroalkyl substances (PFAS) in the environment and humans worldwide has ignited scientific research, government inquiry, and public concern over numerous adverse health effects associated with PFAS exposure. In this review, we discuss the use of PFAS immunotoxicity data in regulatory and clinical decision-making contexts and question whether recent efforts adequately account for PFAS immunotoxicity in public health decision-making.

Recent Findings
Government and academic reviews confirm the strongest human evidence for PFAS immunotoxicity is reduced antibody production in response to vaccinations, particularly for tetanus and diphtheria. However, recent events, such as the economic analysis supporting the proposed national primary drinking water regulations and clinical monitoring recommendations, indicate a failure to adequately incorporate these data into regulatory and clinical decisions.

Summary
To be more protective of public health, we recommend using all relevant immunotoxicity data to inform current and future PFAS-related chemical risk assessment and regulation. Biological measures of immune system effects, such as reduced antibody levels in response to vaccination, should be used as valid and informative markers of health outcomes and risks associated with PFAS exposure. Routine toxicity testing should be expanded to include immunotoxicity evaluations in adult and developing organisms. In addition, clinical recommendations for PFAS-exposed individuals and communities should be revisited and strengthened to provide guidance on incorporating immune system monitoring and other actions that can be taken to protect against adverse health outcomes.
The need for the GREAT+ score to predict relapse in Graves’ disease: a questionnaire among patients and internal medicine specialists
Authors: Jansen H. I. , Heuveling van Beek C. , Bisschop P. H. , Heijboer A. C. , Bruinstroop E. , Boelen A. 
Published: March 2024

Abstract
Purpose
Graves’ disease (GD) is an auto-immune cause of hyperthyroidism. First-line treatment often consists of a 12–18 month course of antithyroid drugs (ATD). After discontinuation of ATD, GD relapses in approximately 50% of patients. The ‘Graves recurrent event after therapy+ ’ (GREAT+) score may predict individual relapse chances after ATD discontinuation more accurately based on clinical and laboratory parameters at diagnosis. We investigated the need for the GREAT+ score through an online questionnaire among GD patients and physicians treating GD.

Methods
An anonymous online questionnaire was distributed to patients and physicians between June 2022 and August 2023.

Results
The questionnaire was completed by 532 patients and 44 physicians. Results showed that 94% of patients were interested in knowing their GREAT+ score at the start of treatment. 55% would consider definite treatment (radioiodine/thyroidectomy) as first-line treatment in case of a high relapse chance. 98% of the physicians indicated the GREAT + score would support patient counseling. 84% may change their advice for first-line treatment if a patient has a high relapse chance based on the score.

Conclusion
Patients and physicians considered the GREAT+ score as a valuable addition to the current available information which could change treatment decisions. Therefore, external validation of the GREAT+ score is justified to implement this score in clinical practice.
Professional Development and Scholarly Activity Weeks to Enhance the Master Adaptive Learner and Foster Future Educators
Authors: Javed Britani , Allgood Aaron , Jaqua Breanne 
Published: March 2024

AbstractOne osteopathic medical school designated 4 weeks per year in the first-year curriculum to Professional Development and Scholarly Activity. The aim of these weeks is to foster the development of Master Adaptive Learners. This metacognitive learning theory promotes adaptive expertise which supports students as educators in a variety of settings.
Solvent Extraction of Manganese and Zinc from Chloride Leach Solution of Spent Zn–C Batteries with DEHPA in Benzene Diluent
Authors: Abdelraheem Mohamed Taha Osman , Aras Ali , Taner Hasan Ali , Agacayak Tevfik 
Published: March 2024

AbstractThe applicability of utilizing solvent extraction processes of manganese (Mn) and zinc (Zn) from chloride leachate of spent zinc–carbon (Zn–C) batteries has been studied by using di-2-ethylhexyl phosphoric acid (DEHPA) as an extractant agent. The effect of five factors (equilibrium pH, O/A ratio, temperature, extractant concentration, and diluent type) were investigated. According to the results gained, the appropriate solution pH level for DEHPA was found to be 6.5. With DEHPA (20%, v/v), 77.50% Mn and 100% Zn were extracted, within 15 min contact time at a 1:1 aqueous/organic ratio and 50 °C temperature. Also, a McCabe–Thiele diagram was drawn and one single-step extraction for Zn and a two-stage process for Mn were needed to achieve the highest extraction efficiency. ΔH as a thermodynamic parameter was calculated and found to be 18.39 kJ/mol for Mn and − 245.50 kJ/mol for Zn, respectively, indicating that the extraction process was endothermic for Mn and exothermic for Zn. A desirable stripping of Mn and Zn from the loaded organic phase could be obtained using a stripping solution of 6 M HCl.
Graphical Abstract
Thermodynamic Investigations for Combustion-Assisted Synthesis of Lithium Orthosilicate Powders
Authors: Benzeşik Kağan , Yücel Onuralp 
Published: March 2024

AbstractThe study investigates the combustion-assisted synthesis of lithium orthosilicate (Li4SiO4) powders for potential CO2 capture applications. Technical-grade lithium carbonate and metallic silicon powders were used as starting materials. Synthesis conditions were explored across temperatures ranging from 500 to 900 °C and different holding durations. Thermodynamic modeling using FactSage 8.2 software suggested that Li4SiO4 production is feasible at temperatures of 700 °C and higher with metallic silicon as the silicon source, which was confirmed experimentally. Characterization of the synthesized powders involved X-ray diffraction, specific surface area determination, particle size distribution analysis, scanning electron microscopy, and CO2 uptake tests. Despite having the lowest Li4SiO4 content as 83.7%, the sample synthesized at 700 °C with 45 min of holding time showed the best CO2 uptake performance as 12.80 wt% while having the lowest crystallite size value (126.58 nm), the highest specific surface area value (4.975 m2/g) and the lowest average particle size value (10.85 µm) which are highly effective on the CO2 uptake performance of such solid sorbents. The study concludes that while challenges remain in achieving optimal CO2 capture performance, it lays a foundation for utilizing lithium orthosilicate in carbon capture applications.
Graphical Abstract
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
Authors: Landgraf Steven , Wursthorn Kira , Hillemann Markus , Ulrich Markus 
Published: March 2024

AbstractThe intersection of deep learning and photogrammetry unveils a critical need for balancing the power of deep neural networks with interpretability and trustworthiness, especially for safety-critical application like autonomous driving, medical imaging, or machine vision tasks with high demands on reliability. Quantifying the predictive uncertainty is a promising endeavour to open up the use of deep neural networks for such applications. Unfortunately, most current available methods are computationally expensive. In this work, we present a novel approach for efficient and reliable uncertainty estimation for semantic segmentation, which we call Deep Uncertainty Distillation using Ensembles for Segmentation (DUDES). DUDES applies student-teacher distillation with a Deep Ensemble to accurately approximate predictive uncertainties with a single forward pass while maintaining simplicity and adaptability. Experimentally, DUDES accurately captures predictive uncertainties without sacrificing performance on the segmentation task and indicates impressive capabilities of highlighting wrongly classified pixels and out-of-domain samples through high uncertainties on the Cityscapes and Pascal VOC 2012 dataset. With DUDES, we manage to simultaneously simplify and outperform previous work on Deep-Ensemble-based Uncertainty Distillation.
Radical imagination and reimagining the space of curriculum for democracy
Authors: Davies Tanya 
Published: March 2024

AbstractSchool-level education in Australia, and in other parts of the world, is currently directed by forces of conformity and compliance. These forces are typically characterised by doctrines of standards and standardisation, and metrics of accountability and performance. Yet, education in Australia is simultaneously underwritten by values of democracy, equity and justice. The tension between conformity and compliance, and education for democracy produces an ethical and practical struggle for teachers. Recent research tells us that education driven by conformity and compliance de-democratises the experience of schooling for both teachers and young people, while also undermining efforts to cultivate democracy across generations. Drawing on Lefebvre, this paper offers a spatial account of curriculum that opens new spaces of possibility and imagination for doing curriculum work beyond compliance. Curriculum in this paper is theorised across a triad of conceived, perceived, and lived space. This theorisation offers a way to describe how the administrative and regulatory spaces of official curriculum and policy cut across and entangle with the everyday and lived curriculum spaces of teachers and young people. The situated intersections of these spaces shape the way curriculum is enacted and experienced in local settings. I bring bell hooks’ pedagogy of imagination into conversation with this theorisation to propose how the perceived and lived spaces of curriculum might be reimagined as radical spaces of possibility that enable an education that is at its heart democratic, and that works for democracy and social justice.
Expanding the phenotypic spectrum of LHCGR signal peptide insertion variant: novel clinical and allelic findings causing Leydig cell hypoplasia type II
Authors: Hassan Heba Amin , Mazen Inas , Elaidy Aya , Kamel Alaa K , Eissa Noura R. , Essawi Mona L. 
Published: March 2024

Abstract
Purpose
Leydig cell hypoplasia (LCH) type II is a rare disease with only a few cases reported. Patients presented with hypospadias, micropenis, undescended testes, or infertility. In this study, we report a new patient with compound heterozygous variants in the LHCGR gene and LCH type II phenotype. Methods: Whole exome sequencing (WES) was performed followed by Sanger sequencing to confirm the detected variants in the patient and his parents. Results: A novel missense variant (p.Phe444Cys) was identified in a highly conserved site and is verified to be in trans with the signal peptide’s 33-bases insertion variant. Conclusion: Our research provides a more comprehensive clinical and genetic spectrum of Leydig cell hypoplasia type II. It highlighted the importance of WES in the diagnosis of this uncommon genetic disorder as well as the expansion of the genotype of LCH type II.
The Next Horizon of Drug Development: External Control Arms and Innovative Tools to Enrich Clinical Trial Data
Authors: Zou Kelly H. , Vigna Chelsea , Talwai Aniketh , Jain Rahul , Galaznik Aaron , Berger Marc L. , Li Jim Z. 
Published: March 2024

AbstractConducting clinical trials (CTs) has become increasingly costly and complex in terms of designing and operationalizing. These challenges exist in running CTs on novel therapies, particularly in oncology and rare diseases, where CTs increasingly target narrower patient groups. In this study, we describe external control arms (ECA) and other relevant tools, such as virtualization and decentralized clinical trials (DCTs), and the ability to follow the clinical trial subjects in the real world using tokenization. ECAs are typically constructed by identifying appropriate external sources of data, then by cleaning and standardizing it to create an analysis-ready data file, and finally, by matching subjects in the external data with the subjects in the CT of interest. In addition, ECA tools also include subject-level meta-analysis and simulated subjects’ data for analyses. By implementing the recent advances in digital health technologies and devices, virtualization, and DCTs, realigning of CTs from site-centric designs to virtual, decentralized, and patient-centric designs can be done, which reduces the patient burden to participate in the CTs and encourages diversity. Tokenization technology allows linking the CT data with real-world data (RWD), creating more comprehensive and longitudinal outcome measures. These tools provide robust ways to enrich the CT data for informed decision-making, reduce the burden on subjects and costs of trial operations, and augment the insights gained for the CT data.
Excursus on modulation spaces via metaplectic operators and related time-frequency representations
Authors: Cordero Elena , Giacchi Gianluca 
Published: March 2024

AbstractWe provide a comprehensive overview of the theoretical framework surrounding modulation spaces and their characterizations, particularly focusing on the role of metaplectic operators and time-frequency representations. We highlight the metaplectic action which is hidden in their construction and guarantees equivalent (quasi-)norms for such spaces. In particular, this work provides new characterizations via the submanifold of shift-invertible symplectic matrices. Similar results hold for the Wiener amalgam spaces.
Anthropomorphism and AI hype
Authors: Barrow Nicholas 
Published: March 2024

AbstractAs humans, we have an innate tendency to ascribe human-like qualities to non-human entities. Whilst sometimes helpful, such anthropomorphic projections are often misleading. This commentary considers how anthropomorphising AI contributes to its misrepresentation and hype. First, I outline three manifestations (terminology; imagery; and morality). Then, I consider the extent to which we ought to mitigate it.