bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing diverse ensemble architectures for automatic brain tumor classification
Authors: Bogacsovics Gergo , Harangi Balazs , Hajdu Andras 
Published: June 2024

AbstractBrain tumors pose a serious threat in our modern society, with a clear increase in global cases each year. Therefore, developing robust solutions that could automatically and reliably detect brain tumors in their early stages is of utmost importance. In our paper, we revisit the problem of building performant ensembles for clinical usage by maximizing the diversity of the member models during the training procedure. We present an improved, more robust, extended version of our framework and propose solutions that could be integrated into a Computer-Aided Diagnosis system to accurately classify some of the most common types of brain tumors: meningioma, glioma, and pituitary tumors. We show that the new framework based on the histogram loss can be seen as a natural extension of the former approach, as it also calculates the inner products of the latent vectors produced by each member to measure similarity, but at the same time, it also makes it possible to capture more complex patterns. We also present several variants of our framework to incorporate member models with varying dimensional feature vectors and to cope with imbalanced datasets. We evaluate our solutions on a clinically tested dataset of 3,064 T1-weighted contrast-enhanced magnetic resonance images and show that they greatly outperform other state-of-the-art approaches and the base architectures as well, achieving over 92% accuracy, 92% macro and weighted precision, 91% macro and 92% weighted $$F_{1}$$

F
1

score, and over 90% macro and 92% weighted sensitivity.
Quantum conference key agreement based on differential-phase-shift quantum key distribution
Authors: Inoue Kyo , Honjo Toshimori 
Published: June 2024

AbstractA quantum conference key agreement (QCKA) protocol based on differential-phase-shift quantum key distribution is presented, which provides a common secret key for secure communication between more than two parties. In the proposed protocol, one party simultaneously broadcasts a weak coherent pulse train with {0, π} phases to multiple parties that measure the phase differences between adjacent pulses using a delay interferometer followed by photon detectors, and the transmitter and receivers share secret key bits from the coincident counts in the receivers. The system setup and operation are simpler than those of conventional QCKA schemes that use a multipartite quantum entanglement state. The key creation performance is evaluated by considering the eavesdropping probability. The results indicate that the proposed scheme offers better performance than the conventional entanglement-based QCKA system.
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations
Authors: Bai Tianming , Teckentrup Aretha L. , Zygalakis Konstantinos C. 
Published: June 2024

AbstractThis work is concerned with the use of Gaussian surrogate models for Bayesian inverse problems associated with linear partial differential equations. A particular focus is on the regime where only a small amount of training data is available. In this regime the type of Gaussian prior used is of critical importance with respect to how well the surrogate model will perform in terms of Bayesian inversion. We extend the framework of Raissi et. al. (2017) to construct PDE-informed Gaussian priors that we then use to construct different approximate posteriors. A number of different numerical experiments illustrate the superiority of the PDE-informed Gaussian priors over more traditional priors.
Aerobic and anaerobic mineralisation of sediment organic matter in the tidal River Elbe
Authors: Gebert J. , Zander F. 
Published: June 2024

Abstract
Purpose
The share of microbially degradable sediment organic matter (SOM) and the degradation rate depend, among others, on the intrinsic properties of SOM as well as on the type and concentration of terminal electron acceptors (TEA). Next to its role as TEA, molecular oxygen enhances SOM decay by oxygenase-mediated breakdown of complex organic molecules. This research investigated long-term SOM decay (> 250 days) under aerobic and anaerobic conditions to (1) provide a basis for sediment carbon flux estimates from the River Elbe estuary and (2) assess the potential for carbon burial in relation to redox conditions and dredging interventions.

Methods
Long-term aerobic and anaerobic SOM decay in fluid mud, pre-consolidated and consolidated sediment layers was investigated over three years along a transect of ca. 20 km through the Port of Hamburg, starting at the first hydrodynamically determined hotspot of sedimentation after the weir in Geesthacht. Absolute differences between aerobic and anaerobic cumulative carbon mineralization were calculated, as well as their ratio. Findings were correlated to a suite of solids and pore water properties.

Results
SOM decay followed first order multi-phase exponential decay kinetics. The ratio between C release under aerobic and anaerobic conditions ranged around 4 in the short-term, converging to a value of 2 in the long term. Strong gradients in absolute C release along the upstream–downstream transect did not reflect in a corresponding gradient of the aerobic-anaerobic ratio. C release was most strongly correlated to the water-soluble organic matter, in particular humic acids. Contact of anaerobically stabilized sediment with the oxygenated water phase induced significant release of carbon.

Conclusion
SOM degradability in the study area exhibited strong spatial gradients in relation to the organic matter source gradient but was mainly limited by the high extent of organic matter stabilization. Under these conditions, molecular oxygen as TEA provides little thermodynamic advantage. Carbon-sensitive sediment management, considering SOM reactivity patterns in stratified depositional areas, is a powerful strategy to reduce environmental impacts of dredging measures.
Cold Metal Transfer Welding of Ferritic and Austenitic Stainless Steel: Microstructural, Mechanical, and Electrochemical Studies
Authors: Gupta Santosh K. , Patil Awanikumar P. , Rathod Ramesh C. , Gupta Aman , Methani Hitesh , Tandon Vipin 
Published: June 2024

AbstractIn the present study, cold metal transfer arc welding was employed to weld the 304L austenitic stainless steel (ASS) and Ti-stabilized 439 ferritic stainless steel (FSS) using a 309L filler electrode. Dissimilar joints were prepared using low heat input (HI; W1 ~ 247 J/mm) and high HI (W2 ~ 282 J/mm). The solidification mode for both weldments were the ferritic-austenitic mode and the weld zone (WZ) regions of both the weldments consists of columnar austenites, lathy and skeletal ferrite phases. The interfaces between WZ and ASS base metal showed the unmixed zone, whereas a conventional heat-affected zone (HAZ) was formed between the WZ and FSS base metals. The formation of ferrite stringers were observed in the unmixed zone, whereas peppery features of chromium-rich carbides were observed in HAZ. Moreover, electron backscattered diffraction technique was used to distinguish the microstructural differences between W1 and W2 weldments. Increase in the HIs resulted in decreased ferrite fraction in WZ as well as decrease in the mechanical strength of the joints. The W1 weldment depicted higher values of average micro-hardness (WZ ≈ 334.32 HV) than W2 (WZ ≈ 310.92 HV)) weldment. The electrochemical behaviour of the weldments was analysed for both the base metals and WZ of weldments. The higher degree of sensitization (DOS ~ 9.24%) of W1-WZ showed lower intergranular corrosion resistance than W2-WZ (DOS ~ 7.77%), however, the opposite trend was observed for impedance and pitting resistance.
A Novel Fuzzy Model for Knowledge-Driven Process Optimization in Renewable Energy Projects
Authors: Huang Chicheng , Yüksel Serhat , Dinçer Hasan 
Published: June 2024

AbstractThis study is aimed at identifying key indicators to increase knowledge-based process optimization for renewable energy projects. Within this context, a novel fuzzy decision-making model is introduced that has two different stages. The first stage is related to the weighting of the knowledge-based determinants of process optimization in investment decisions by using quantum picture fuzzy rough sets (QPFR)-based multi-step wise weight assessment ratio analysis (M-SWARA). On the other side, the second stage consists of ranking the investment alternatives for process optimization in renewable energy projects via the QPFR-based technique for order preference by similarity (TOPSIS) methodology. The main contribution of this study is that a priority analysis is conducted for information-based factors affecting the performance of renewable energy projects. This situation provides an opportunity for the investments to implement appropriate strategies to increase the optimization of these investments. It is concluded that quality is the most essential indicator with respect to the process optimization of these projects. It can be possible to increase the efficiency of these projects by using better quality products. Innovation has an important role in ensuring the use of quality products in environmental sustainability. Owing to new technologies, it is easier to use more effective and innovative products. This condition also contributes to increasing the efficiency of the energy production process. Furthermore, the findings also denote that the most appropriate energy innovation alternative is the variety of clean energy sources. By focusing on different clean energy alternatives, the risk of interruptions in energy generation can be minimized. In other words, the negative impact of climatic conditions on energy production can be lowered significantly with the help of this situation.
Enhanced adsorption of lead (II) ions onto cellulose nanoparticles/chitosan composite based on loofah sponge: kinetic and thermodynamic studies
Authors: Matter E. A. , Hassan Asaad F. , Elfaramawy Nourhan M. , Esmail Ghada 
Published: June 2024

AbstractThe purpose of this work is to study the efficiency of lead ions removal via adsorption onto created solid nanomaterials. Three solid adsorbents were synthesized as cellulose nanoparticles (CN) extracted from plant loofah sponge using alkali treatment and acid hydrolysis techniques, chitosan beads (CZ), and cellulose nanoparticles/chitosan beads composite (CZC). The generated solid adsorbents were investigated using TGA, N2 adsorption/desorption, ATR-FTIR spectroscopy, SEM, TEM, XRD, and pHPZC. Based on our findings, CZC had a pHPZC of 7.2, a larger specific surface area (645.3 m2/g), and a total pore volume (0.372 cm3/g). The batch adsorption of lead ions was well-fitted by pseudo-second order, Elovich, Langmuir, Temkin, and Dubinin-Radushkevich on all the samples. Cellulose nanoparticles/chitosan composite had the highest Langmuir adsorption capacity (221.104 mg/g) at 47°C, 120 min as shaking time, 2 g/L as adsorbent dose, and pH 6.5. Nitric acid had the highest desorption percentage (92%). The thermodynamic investigation revealed that lead ion adsorption is endothermic, favorable, spontaneous, and physisorption. Our findings showed that CZC has a high adsorption capacity and rapid kinetics, indicating its potential for employment in water treatment.
Converting lignocellulosic biomass into mesoporous carbons for the assessment of single adsorption equilibrium: the competing role of moisture and temperature on gaseous benzene adsorption
Authors: Isinkaralar Kaan 
Published: June 2024

AbstractFor the present study, the activated carbon were obtained from Lotus corniculatus L. as waste biomass using carbonization at 700 °C and alkali potassium hydroxide (KOH) chemical activation technique. Single gaseous benzene (C6H6) adsorption (SGBA) experiments were performed to benchmark the efficiency of the L. corniculatus-derived activated carbons (LCACs), which were LCAC2 (609 m2 g−1, KOH 1:2 w/w), LCAC3 (742 m2 g−1, KOH 1:3 w/w), and LCAC4 (826 m2 g−1, KOH 1:4 w/w), respectively. Also, the physicochemical properties of LCACs were characterized by Fourier Transform Infrared Spectroscopy (FT-IR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and proximate-elemental assessment. The isotherm models (Langmuir and Freundlich) of C6H6 demonstrate the complex adaptation results of LCAC4 at different relative humidity (RH) levels, and Freundlich isotherm is highly suitable to C6H6/LCAC4 as multilayer adsorption. Kinetic behavior was also analyzed and showed that of C6H6 is well illustrated by the pseudo second order (PSOM). The C6H6 competitive adsorption of LCAC2, LCAC3, and LCAC4 at 25 °C + 0 RH%, 25 °C + 80 RH%, 45 °C + 0 RH%, and 45 °C + 80 RH% corresponds to reductions of 12.9–11.6%, 7.8–11.5%, and 9.9–18.4%. The LCAC4 is confirmed to be a perfect adsorbent in the elimination of a single gaseous stream at 45 °C + 0 RH%. Regeneration showed that the LCAC4 maintained more than 25% of the initial adsorption capacity after five repeated adsorption–desorption cycles. The promising properties of LCAC4 are recommended to be exploited for the other volatile organic compounds in the gas phase in indoor environments, under the best conditions.
Influence of state-of-the-art laboratory techniques on the phenotyping of women with polycystic ovary syndrome in the clinical setting
Authors: Luque-Ramírez M. , Martínez-García M. Á. , Insenser M. , Fernández-Durán E. , Quintero-Tobar A. , Fiers T. , Kaufman J-M. , García-Cano A. M. , Rosillo Coronado M. , Nattero-Chávez L. , Escobar-Morreale H. F. 
Published: June 2024

Abstract

Purpose
Evidence-based guidelines for the management of polycystic ovary syndrome (PCOS) recommend clinical laboratories use liquid chromatography-tandem mass spectrometry (LC–MS/MS) for diagnosing biochemical hyperandrogenism. However, automated immunoassays are still mostly used in routine laboratories worldwide. Another hurdle for PCOS phenotyping in the clinical setting is ultrasound assessment of polycystic ovarian morphology. We address the impact of using state-of-the-art (LC–MS/MS) and of an anti-müllerian hormone (AMH) assay on the diagnosis of PCOS in routine practice.

Methods
In a cross-sectional study, we included 359 premenopausal women consecutively evaluated because of symptoms of functional androgen excess or hyperandrogenemia, and finally diagnosed with PCOS. Patients were submitted to routine phenotyping based on serum androgen measurements by immunoassays and an ovarian ultrasound when necessary. Samples of all patients were also assayed by LC–MS/MS for hyperandrogenemia and for circulating AMH.

Results
The observed agreement between immunoassays and LC–MS/MS in identifying hyperandrogenemia was poor [78.0%; k(95%CI): 0.366 (0.283;0.449)]. The observed agreement between ultrasound and increased AMH was 27.3% [(95%CI): 0.060 (0.005; 0.115)]. Using LC–MS/MS changed PCOS phenotypes in 60(15.8%) patients. Fifty-two (18.3%) individuals with hyperandrogenemia by routine immunoassays no longer presented with androgen excess by LC–MS/MS. Overall diagnostic agreement between routine assessment using immunoassays and ultrasound and that derived from LC–MS/MS and the addition of AMH to US was moderate [weighted κ (linear weights): 0.512 (0.416;0.608)].

Conclusions
Immunoassays used in routine practice are unacceptably inaccurate for phenotyping women with PCOS. Our data cast some doubts upon the interchangeability of serum AMH and ultrasound examination for the diagnosis of PCOS.
Air pollution and kidney cancer risk: a systematic review and meta-analysis
Authors: Dahman Lina , Gauthier Victoria , Camier Aurore , Bigna Jean Joel , Glowacki François , Amouyel Philippe , Dauchet Luc , Hamroun Aghiles 
Published: June 2024

Abstract
Background
Although several risk factors of kidney cancer have already been well-addressed, many remain underappreciated, such as chronic exposure to air pollution. This systematic review and meta-analysis aims to assess the association between air pollutant exposure and the risk of kidney cancer.

Methods
With an exhaustive search equation including keywords related to air pollution and kidney cancer on EMBASE, PubMed, Web of science, Cochrane Library and CINAHL database, we identified all relevant articles published before March 23rd, 2023 (Prospero registration number: CRD42020187956). Using random-effects meta-analysis, we present pooled hazard ratios (with their respective 95% confidence interval) associated with a 10 µg/m3 increase in each pollutant level. Heterogeneity was quantified by the I2 statistic. Risks of methodological and publication bias were also both assessed using appropriate tools.

Results
Of the 1919 records identified, our review included 19 articles (13 cohort, 5 registry-based and 1 case–control studies), of which 9 were suitable for the meta-analysis. We found a significantly increased risk of kidney cancer incidence for a 10 μg/m3 elevation of both particulate matter of less than 10 µm (PM10) (HR = 1.29 [1.10; 1.51], I2 = 0%, p = 0.002) and nitrogen dioxide (NO2) (HR = 1.10 [1.03; 1.18], I2 = 20%, p = 0.004). Secondary analyses also suggest an increased risk of kidney cancer-related morbidity-mortality associated with PM10 exposure.

Conclusions
Overall, our findings suggest a potential association between exposure to increased levels of PM10 and NO2 and the risk of kidney cancer. These results should nonetheless be interpreted with caution due to the limited number of included studies and their significant risk of methodological bias.

Graphical abstract
Enhancing robustness in asynchronous feature tracking for event cameras through fusing frame steams
Authors: Xu Haidong , Yu Shumei , Jin Shizhao , Sun Rongchuan , Chen Guodong , Sun Lining 
Published: June 2024

AbstractEvent cameras produce asynchronous discrete outputs due to the independent response of camera pixels to changes in brightness. The asynchronous and discrete nature of event data facilitate the tracking of prolonged feature trajectories. Nonetheless, this necessitates the adaptation of feature tracking techniques to efficiently process this type of data. In addressing this challenge, we proposed a hybrid data-driven feature tracking method that utilizes data from both event cameras and frame-based cameras to track features asynchronously. It mainly includes patch initialization, patch optimization, and patch association modules. In the patch initialization module, FAST corners are detected in frame images, providing points responsive to local brightness changes. The patch association module introduces a nearest-neighbor (NN) algorithm to filter new feature points effectively. The patch optimization module assesses optimization quality for tracking quality monitoring. We evaluate the tracking accuracy and robustness of our method using public and self-collected datasets, focusing on average tracking error and feature age. In contrast to the event-based Kanade–Lucas–Tomasi tracker method, our method decreases the average tracking error ranging from 1.3 to 29.2% and boosts the feature age ranging from 9.6 to 32.1%, while ensuring the computational efficiency improvement of 1.2–7.6%. Thus, our proposed feature tracking method utilizes the unique characteristics of event cameras and traditional cameras to deliver a robust and efficient tracking system.
Training in Trauma-Responsive and Anti-racist Telehealth: A Model for Behavioral Health Clinicians and Providers
Authors: Rubio Ritchie J. 
Published: June 2024

AbstractTelehealth's uptake in behavioral health services has been accelerated by the COVID-19 pandemic. However, many clinicians continue to lack focused training in providing trauma-informed and culturally-responsive telehealth care. This article outlines a model curriculum that was created to instruct and coach behavioral health providers in California on how to integrate anti-racist and trauma-responsive techniques into telehealth. Topics like evidence-based trauma therapies, racial/ethnic trauma, marginalized communities, digital divide, and provider selfcare were all covered in the nine-part curriculum. Every three-hour session included evidence-informed didactic content, telehealth skills practice, and concrete planning for implementation. Trauma-responsive frameworks such as the tri-phasic model of trauma recovery (Herman in Trauma and recovery: The aftermath of violence—From domestic abuse to political terror, Basic Books, 2015) and the neurosequential model of therapeutics (Perry in The handbook of therapeutic care for children, Jessica Kingsley Publishers, London, 2020) served as the foundation for the sessions. The Tools to Improve Practice (TIPs) website was created as a supplementary digital resource portal to support clinicians with continuous implementation. This model illustrates a replicable approach to strengthening workforce capacity and competence in trauma-responsive, anti-racist telehealth practices.
Evaluation of indigenous isolates of Beuveria bassiana (Balsamo) Vuillemin (Deuteromycotina: Hyphomycetes) against the cotton aphid Aphis gossypii Glover
Authors: Baki Derya , Erler Fedai 
Published: June 2024

AbstractThe cotton aphid, Aphis gossypii Glover (Hemiptera: Aphididae), is one of the most important pests and causes major damage to cultivated plants in Turkey. It has recently become a serious problem in Antalya (southwestern Turkey) due to its high resistance to insecticides used. To address this problem, the present study aimed to evaluate the pathogenicity of five indigenous Beuveria bassiana (Balsamo) Vuillemin (Deuteromycotina: Hyphomycetes) isolates (BbFn-2, BbKm-2, BbSr-2, BbDs-4, and BbDm-2) with high virulence in previous studies against the pest. All the isolates were tested at five different conidial concentrations (1 × 105, 1 × 106, 1 × 107, 1 × 108 and 1 × 109 conidia mL−1) against the nymphs and adults of A. gossypii using Petri dish and pot trials in the laboratory. The results from the bioassays showed that virulence of the isolates increased significantly with elapsed time up to 10 days after inoculation. All five B. bassiana isolates at the highest concentration (1 × 109 conidia mL−1) caused mortalities ranged from 83.3% to 100% in both nymphs and adults 10 days post-treatment. While the LT50 and LT95 values of the isolates were 1.72–2.12 days and 4.81–8.49 days, respectively, for the nymphs, they were calculated for the adults as 1.65–2.54 days and 4.66–12.93 days, respectively. Results of the phylogenetic analysis showed that these five B. bassiana isolates had high similarities (ranging from 99 to 100%) with the other B. bassiana isolates in GenBank. All the results suggest that above-mentioned five indigenous B. bassiana isolates have significant biocontrol potential against A. gossypii.
Fast topological signal identification and persistent cohomological cycle matching
Authors: García-Redondo Inés , Monod Anthea , Song Anna 
Published: June 2024

AbstractWithin the context of topological data analysis, the problems of identifying topological significance and matching signals across datasets are important and useful inferential tasks in many applications. The limitation of existing solutions to these problems, however, is computational speed. In this paper, we harness the state-of-the-art for persistent homology computation by studying the problem of determining topological prevalence and cycle matching using a cohomological approach, which increases their feasibility and applicability to a wider variety of applications and contexts. We demonstrate this approach on a wide range of real-life, large-scale, and complex datasets. We extend existing notions of topological prevalence and cycle matching to include general non-Morse filtrations. This provides the most general and flexible state-of-the-art adaptation of topological signal identification and persistent cycle matching, which performs comparisons of orders of ten for thousands of sampled points in a matter of minutes on standard institutional HPC CPU facilities.