bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing sensitivity towards electrochemical miRNA detection using an affordable paper-based strategy
Authors: Cimmino Wanda , Raucci Ada , Grosso Sara Pia , Normanno Nicola , Cinti Stefano 
Published: June 2024

AbstractIn the era of liquid biopsy, microRNAs emerge as promising candidates for the early diagnosis and prognosis of cancer, offering valuable insights into the disease’s development. Among all the existing analytical approaches, even if traditional approaches such as the nucleic acid amplification ones have the advantages to be highly sensitive, they cannot be used at the point-of-care, while sensors might be poorly sensitive despite their portability. In order to improve the analytical performance of existing electroanalytical systems, we demonstrate how a simple chromatographic paper-based disk might be useful to rationally improve the sensitivity, depending on the number of preconcentration cycles. A paper-based electrochemical platform for miRNA detection has been developed by modifying a paper-based electrode with a methylene blue (MB)-modified single-stranded sequence (ssDNA) complementary to the chosen miRNA, namely miR-224 that is associated with lung cancer. A detection limit of ca. 0.6 nM has been obtained in spiked human serum samples. To further enhance the sensitivity, an external chromatographic wax-patterned paper-based disk has been adopted to preconcentrate the sample, and this has been demonstrated both in standard and in serum solutions. For each solution, three miR-224 levels have been preconcentrated, obtaining a satisfactory lowering detection limit of ca. 50 pM using a simple and sustainable procedure. This approach opens wide possibilities in the field of analytical and bioanalytical chemistry, being useful not only for electrochemistry but also for other architectures of detection and transduction.
Arithmetic fundamental lemma for the spherical Hecke algebra
Authors: Li Chao , Rapoport Michael , Zhang Wei 
Published: June 2024

AbstractWe define Hecke correspondences and Hecke operators on unitary RZ spaces and study their basic geometric properties, including a commutativity conjecture on Hecke operators. Then we formulate the arithmetic fundamental lemma conjecture for the spherical Hecke algebra. We also formulate a conjecture on the abundance of spherical Hecke functions with identically vanishing first derivative of orbital integrals. We prove these conjectures for the case $$\textrm{U} (1)\times \textrm{U} (2)$$

U
(
1
)
×
U
(
2
)

.
Quality of life assessment in diffuse large B-cell lymphoma (DLBCL) in REFLECT: a prospective, non-interventional, multicenter, German study, assessing Sandoz rituximab in combination with CHOP
Authors: Kubuschok Boris , Otremba Burkhard , Welslau Manfred , Topaly Julian , Wolff Thomas , Lenz Georg , Grau Michael , Bittencourt da Silva Larissa , Brückmann Ines , Foierl Tobias 
Published: June 2024

AbstractHealth-related quality of life (HRQoL) data are important indicators of health status in patients with lymphoma. The objective of this analysis was to assess the impact of treatment with Sandoz rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) on HRQoL in treatment-naïve adult patients with diffuse large B-cell lymphoma (DLBCL) included in the prospective, real-world REFLECT study. REFLECT is the first prospective study to assess HRQoL in patients with DLBCL treated with a rituximab biosimilar. HRQoL was assessed via the patient-reported European Organization for Research and Treatment of Cancer Core Quality of Life questionnaire at baseline, mid-treatment (month 3), end of treatment (month 6), and follow-up (months 9 and 12). Subgroup analyses were performed to evaluate the influence of baseline characteristics on HRQoL, and associations between baseline HRQoL and treatment response. HRQoL was assessed in 169 patients. Mean global health status score remained stable from baseline (54.8) to mid-treatment (month 3; 54.7), before steadily improving through to end of treatment (month 6; 61.4), and follow-up month 9 (64.9) and month 12 (68.8). Similar trends were observed across most functional and symptom subscales. Higher cognitive, physical, or role functioning, and less appetite loss, diarrhea, fatigue, or pain at baseline, were all associated with an improved likelihood of reaching a complete versus partial response at the end of treatment. Overall, these findings confirm the HRQoL benefits of R-CHOP therapy in treatment-naïve adult patients with DLBCL, and suggest that baseline HRQoL may be predictive of treatment response.
Homeostasis in networks with multiple inputs
Authors: de Oliveira Madeira João Luiz , Antoneli Fernando 
Published: June 2024

AbstractHomeostasis, also known as adaptation, refers to the ability of a system to counteract persistent external disturbances and tightly control the output of a key observable. Existing studies on homeostasis in network dynamics have mainly focused on ‘perfect adaptation’ in deterministic single-input single-output networks where the disturbances are scalar and affect the network dynamics via a pre-specified input node. In this paper we provide a full classification of all possible network topologies capable of generating infinitesimal homeostasis in arbitrarily large and complex multiple inputs networks. Working in the framework of ‘infinitesimal homeostasis’ allows us to make no assumption about how the components are interconnected and the functional form of the associated differential equations, apart from being compatible with the network architecture. Remarkably, we show that there are just three distinct ‘mechanisms’ that generate infinitesimal homeostasis. Each of these three mechanisms generates a rich class of well-defined network topologies—called homeostasis subnetworks. More importantly, we show that these classes of homeostasis subnetworks provides a topological basis for the classification of ‘homeostasis types’: the full set of all possible multiple inputs networks can be uniquely decomposed into these special homeostasis subnetworks. We illustrate our results with some simple abstract examples and a biologically realistic model for the co-regulation of calcium ($$\textrm{Ca}$$
Ca
) and phosphate ($$\textrm{PO}_4$$

PO
4

) in the rat. Furthermore, we identify a new phenomenon that occurs in the multiple input setting, that we call homeostasis mode interaction, in analogy with the well-known characteristic of multiparameter bifurcation theory.
Incorporation of RCM-simulated spatial details into climate change projections derived from global climate models
Authors: Ruosteenoja Kimmo , Räisänen Jouni 
Published: June 2024

AbstractRegional climate models (RCMs) exhibit greater potential than global models (GCMs) in capturing geographical details of climate change arising from orography and land–water distribution, but dynamical downscalings are only available for a limited number of GCMs. The full GCM ensembles are much more representative. Furthermore, the current EURO-CORDEX RCM runs most likely underestimate future warming. Thus, neither GCMs nor RCMs as such constitute an ideal tool for preparing reliable spatially detailed climate projections. This study introduces an easy-to-use GCM-RCM hybrid method that takes advantage of the best properties of both model categories. The large-scale response is adopted from GCM simulations, but the pattern is enriched with RCM-simulated details. For temperature projections, the procedure resembles the conventional pattern-scaling technique. However, the spatial averages of temperature change used for scaling are calculated over an area surrounding each grid point, either by giving an equal weight to the entire area or by taking into account the land–sea distribution. For precipitation, a linearised version of the method has been formulated. The method is demonstrated by integrating spatial details from 12 EURO-CORDEX RCM simulations with the CMIP6 multi-GCM mean projection. The resulting temperature responses include RCM-generated spatial details of up to $$\sim$$
∼
1 $$^\circ$$

∘

C while effectively correcting the general tendency of RCMs to underestimate warming in Europe. For precipitation, geographical details originating from the different CORDEX runs tend to diverge, resulting in a low signal-to-noise ratio. This probably reflects the substantial impact of internal variability on small-scale changes in precipitation.
Prehospital time and mortality in pediatric trauma
Authors: Rickenbach Olivia Nieto , Aldridge Joshua , Tumin Dmitry , Greene Erika , Ledoux Matthew , Longshore Shannon 
Published: June 2024

Abstract
Purpose
The “Golden Hour” of transportation to a hospital has long been accepted as a central principal of trauma care. However, this has not been studied in pediatric populations. We assessed for non-linearity of the relationship between prehospital time and mortality in pediatric trauma patients, redefining the threshold at which reducing this time led to more favorable outcomes.

Methods
We performed an analysis of the 2017–2018 American College of Surgeons Trauma Quality Improvement Program, including trauma patients age < 18 years. We examined the association between prehospital time and odds of in-hospital mortality using linear, polynomial, and restricted cubic spline (RCS) models, ultimately selecting the non-linear RCS model as the best fit.

Results
60,670 patients were included in the study, of whom 1525 died and 3074 experienced complications. Prolonged prehospital time was associated with lower mortality and fewer complications. Both models demonstrated that mortality risk was lowest at 45–60 min, after which time was no longer associated with reduced probability of mortality.

Conclusions
The demonstration of a non-linear relationship between pre-hospital time and patient mortality is a novel finding. We highlight the need to improve prehospital treatment and access to pediatric trauma centers while aiming for hospital transportation within 45 min.
Using wearable technology for Posture Regulation to Improve Surgical Ergonomics in the paediatric operating room: the UPRISE trial: a pilot study
Authors: Soni Suvarna , Ritchie Angus M. A. , Liu Sue , Pacilli Maurizio , Nataraja Ramesh M. 
Published: June 2024

Abstract
Background
The rising prevalence of work-related musculoskeletal disorders has numerous physical, financial, and mental repercussions for surgeons. This study aims to establish whether the use of a wearable posture device can improve the operating time spent in suboptimal, high-risk postures.

Methods
Surgeons were recruited in Phase 1 of this prospective randomised study and baseline postural data was obtained. In Phase 2, participants were randomised to receive either a traditional educational workshop or intraoperative vibrations from the device to correct postural lapses. During minor elective day cases, intraoperative postural data was collected and stratified by forward flexion angle, into five risk categories (negligible to very high). Participants’ experience with the sensor was also assessed.

Results
A total of 100 surgical procedures (Phase 1: n = 50; Phase 2: n = 50) were performed by eight surgeons of varying seniority. Exposure to the educational intervention increased time spent in suboptimal posture (Phase 1 vs. Phase 2); 47.5% vs. 67.8%, p = 0.05. However, the vibrational intervention significantly reduced this time; 50.0% vs. 20.7%, p = 0.005. Procedure type didn’t influence posture although, laparoscopic interventions spent most time in negligible-risk postures; 47.7% vs. 49.3%, compared to open procedures. Surgical consultants spent less time in suboptimal posture compared to fellow/registrars; 30.3% vs. 72.6% (Phase 1) and 33.8% vs. 65.3% (Phase 2).

Conclusion
Vibrational intervention from the device significantly decreased the time spent in suboptimal, high-risk postures. As procedure type wasn’t correlated with postural changes, surgeon-specific factors in regulating posture are paramount. Finally, surgeon experience was positively correlated with improved surgical ergonomics.
Existence of singular isoperimetric regions in 8-dimensional manifolds
Authors: Niu Gongping 
Published: June 2024

AbstractIt is well known that isoperimetric regions in a smooth compact $$(n+1)$$

(
n
+
1
)

-manifold are themselves smooth, up to a closed set of codimension at most 8. In this note, we construct an 8-dimensional compact smooth manifold whose unique isoperimetric region with half volume that of the manifold exhibits two isolated singularities. This stands in contrast with the situation in which a manifold is a space form, where isoperimetric regions are smooth in every dimension.
Relationship of disc degeneration after pubertal growth spurt to future low back pain: a longitudinal cohort study
Authors: Aavikko Anni , Ristolainen Leena , Kautiainen Hannu , Lohman Martina , Schlenzka Dietrich , Lund Teija 
Published: June 2024

Abstract
Purpose
In this longitudinal cohort study, we investigated the relationship of disc degeneration (DD) after pubertal growth spurt to future low back pain (LBP).

Methods
A group of healthy volunteers underwent a semi-structured interview about LBP without trauma and a 1.5T lumbar MRI at ages 18 and 34. A Pfirrmann Summary Score (PSS) was calculated by adding up the Pfirrmann grades of the three lowest lumbar discs of each subject (range 3–15). The relationship of PSS at age 18 to LBP at age 34 was analyzed.

Results
Forty-one participants had full data at both time points. Mean PSS at age 18 was 6.8 (SD 1.1) and 5.6 (SD 1.2) for participants with or without LBP at age 34, respectively (p = 0.009). The OR (95% CI) of PSS at age 18 for LBP at age 34 was 5.46 (1.22 to 24.47) when adjusted for sex, BMI, smoking and physical activity. All participants but one with PSS greater than 6 at age 18 reported LBP at age 34.

Conclusion
This is the first study to suggest that DD may be associated with future LBP and the critical time frame seems to be the pubertal growth spurt. Every 1-point increase in Pfirrmann grade at age 18 increased the risk of LBP 5.5-fold at age 34 when adjusted for sex, BMI, smoking and physical activity at age 34. All participants but one with at least one disc with Pfirrmann grade 3 or higher at age 18 reported LBP at age 34.
Lichtenstein technique for inguinal hernia repair: ten recommendations to optimize surgical outcomes
Authors: Messias Bruno Amantini , Nicastro Rafael Gonçalves , Mocchetti Erica Rossi , Waisberg Jaques , Roll Sergio , Junior Marcelo Augusto Fontenelle Ribeiro 
Published: June 2024

Abstract
Purpose
Approximately 20 million individuals worldwide undergo inguinal hernia surgery annually. The Lichtenstein technique is the most commonly used surgical procedure in this setting. The objective of this study was to revisit this technique and present ten recommendations based on the best practices.

Methods
PubMed and Scientific Electronic Library Online were used to systematically search for articles about the Lichtenstein technique and its modifications. Literature regarding this technique and surgical strategies to prevent chronic pain were the basis for formulating ten recommendations for best practices during Lichtenstein surgery.

Results
Ten recommendations were proposed based on best practices in the Lichtenstein technique: neuroanatomical assessment, chronic pain prevention, pragmatic neurectomy, spermatic cord structure management, femoral canal assessment, hernia sac management, mesh characteristics, fixation, recurrence prevention, and surgical convalescence.

Conclusion
The ten recommendations are practical ways to achieve a safe and successful procedure. We fell that following these recommendations can improve surgical outcomes using the Lichtenstein technique.
Blocking the TRAIL-DR5 Pathway Reduces Cardiac Ischemia–Reperfusion Injury by Decreasing Neutrophil Infiltration and Neutrophil Extracellular Traps Formation
Authors: Wang Xuance , Xie Ran , Zhao Dan , Wang Guiling , Zhang Lijie , Shi Wei , Chen Yanyan , Mo Tingting , Du Yuxin , Tian Xuefei , Wang Wanjun , Cao Run , Ma Yuanfang , Wei Yinxiang , Wang Yaohui 
Published: June 2024

Abstract
Purpose
Acute myocardial infarction (AMI) is a leading cause of mortality. Neutrophils penetrate injured heart tissue during AMI or ischemia–reperfusion (I/R) injury and produce inflammatory factors, chemokines, and extracellular traps that exacerbate heart injury. Inhibition of the TRAIL-DR5 pathway has been demonstrated to alleviate cardiac ischemia–reperfusion injury in a leukocyte-dependent manner. However, it remains unknown whether TRAIL-DR5 signaling is involved in regulating neutrophil extracellular traps (NETs) release.

Methods
This study used various models to examine the effects of activating the TRAIL-DR5 pathway with soluble mouse TRAIL protein and inhibiting the TRAIL-DR5 signaling pathway using DR5 knockout mice or mDR5-Fc fusion protein on NETs formation and cardiac injury. The models used included a co-culture model involving bone marrow-derived neutrophils and primary cardiomyocytes and a model of myocardial I/R in mice.

Results
NETs formation is suppressed by TRAIL-DR5 signaling pathway inhibition, which can lessen cardiac I/R injury. This intervention reduces the release of adhesion molecules and chemokines, resulting in decreased neutrophil infiltration and inhibiting NETs production by downregulating PAD4 in neutrophils.

Conclusion
This work clarifies how the TRAIL-DR5 signaling pathway regulates the neutrophil response during myocardial I/R damage, thereby providing a scientific basis for therapeutic intervention targeting the TRAIL-DR5 signaling pathway in myocardial infarction.
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm
Authors: Rabieyan Reza , Yahyapour Ramin , Jahnke Patrick 
Published: June 2024

AbstractThis study addresses the issue of power consumption in virtualized cloud data centers by proposing a virtual machine (VM) replacement model and a corresponding algorithm. The model incorporates multi-objective functions, aiming to optimize VM selection based on weights and minimize resource utilization disparities across hosts. Constraints are incorporated to ensure that CPU utilization remains close to the average CPU usage while mitigating overutilization in memory and network bandwidth usage. The proposed algorithm offers a fast and efficient solution with minimal VM replacements. The experimental simulation results demonstrate significant reductions in power consumption compared with a benchmark model. The proposed model and algorithm have been implemented and operated within a real-world cloud infrastructure, emphasizing their practicality.
Critical Mentorship in Undergraduate Research Experience BUILDs Science Identity and Self-Efficacy
Authors: Moon Sungmin , Guan Shu-Sha Angie , Vargas Jose H. , Lin Judith C. P. , Kwan Patchareeya , Saetermoe Carrie L. , Flores Gilberto , Chavira Gabriela 
Published: June 2024

Abstract
In 2014, the NIH Diversity Program Consortium (DPC) launched an initiative to implement and evaluate novel interventions at a variety of academic institutions across the country to engage undergraduate students from diverse backgrounds in biomedically-related research. The local intervention examined in the current study provides Critical Race Theory (CRT)-informed mentoring, more broadly called critical mentoring, for its participants. We examined the relationship between critical mentoring and student outcomes. In this study, student outcomes consisted of three components: (a) mentor satisfaction, (b) science identity, and (c) science self-efficacy. To determine student outcomes, we used the 2020 Student Annual Follow-up Survey (SAFS). We found that participants in the intervention program reported higher levels of critical mentoring than non-intervention participants and critical mentoring was, in turn, predictive of higher. mentorship satisfaction, science identity, and science self-efficacy. This finding implies that the CRT-informed intervention was more effective by developing an environment in which high-quality, critical mentors influenced students’ sense of science identity and self-efficacy. Additionally, we also found that intervention participants reported higher science identity and science self-efficacy than non-intervention participants, which suggests that the intervention cultivated science identity and self-efficacy in other ways outside of critical mentorship as well. The current study highlights how participation in an intervention program can increase science identity and self-efficacy, two factors predictive of science career intentions. The connection between critical mentoring practices and increased science identity and self-efficacy underscores the significance of culturally and racially relevant social support in science education.
Evaluation of Moisture Diffusivity from Pore Distribution Curves for a Ceramic Brick
Authors: Medved’ Igor , Černý Robert 
Published: June 2024

AbstractThe 1D moisture diffusivity of porous materials may strongly depend on the content of moisture in the materials, varying over an order of magnitude or more. In this paper we present a new model from which the diffusivity can be evaluated, using the pore size distribution and water absorption coefficient. We point out that this is a more efficient approach than the standard Boltzmann–Matano (BM) method, because measurements of pore curves and water absorption are much shorter and rather accurate compared to moisture profile experiments needed in the BM method. As an example, we apply our model to two samples of a ceramic brick for which experimental data on both pore curves and moisture profiles had been measured. A very good quantitative agreement in the diffusivity is obtained for early stage profiles. For later stages, however, the model predicts three to four times higher diffusivity than the BM method. The reasons for this discrepancy are discussed and further tasks to validate the effectiveness of the new model are proposed. We also compare our model with the pore models of Burdine and Mualem.
Cognitive manufacturing: definition and current trends
Authors: El Kalach Fadi , Yousif Ibrahim , Wuest Thorsten , Sheth Amit , Harik Ramy 
Published: June 2024

AbstractManufacturing systems have recently witnessed a shift from the widely adopted automated systems seen throughout industry. The evolution of Industry 4.0 or Smart Manufacturing has led to the introduction of more autonomous systems focused on fault tolerant and customized production. These systems are required to utilize multimodal data such as machine status, sensory data, and domain knowledge for complex decision making processes. This level of intelligence can allow manufacturing systems to keep up with the ever-changing markets and intricate supply chain. Current manufacturing lines lack these capabilities and fall short of utilizing all generated data. This paper delves into the literature aiming at achieving this level of complexity. Firstly, it introduces cognitive manufacturing as a distinct research domain and proposes a definition by drawing upon various preexisting themes. Secondly, it outlines the capabilities brought forth by cognitive manufacturing, accompanied by an exploration of the associated trends and technologies. This contributes to establishing the foundation for future research in this promising field.