bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microfluidic impedance flow cytometer leveraging virtual constriction microchannel and its application in leukocyte differential
Authors: Wang Minruihong , Zhang Jie , Chen Xiao , Li Yimin , Huang Xukun , Wang Junbo , Li Yueying , Huo Xiaoye , Chen Jian 
Published: December 2024

AbstractMicrofluidic impedance flow cytometry has been widely used in leukocyte differential and counting, but it faces a bottleneck due to the trade-off between impedance detection throughput and sensitivity. In this study, a microfluidic impedance flow cytometer based on a virtual constriction microchannel was reported, in which the virtual constriction microchannel was constructed by crossflow of conductive sample and insulated sheath fluids with underneath micro-electrodes for impedance measurements. Compared to conventional mechanical constriction microchannels, this virtual counterpart could effectively avoid direct physical contact between cells and the microchannel walls to maintain high throughputs, and significantly reduce the volume of the impedance detection region for sensitivity improvements. Using the developed microfluidic impedance flow cytometer, impedance pulses of three leukemia cell lines, K562, Jurkat, and HL-60, were detected, achieving a 99.8% differentiation accuracy through the use of a recurrent neural network. Furthermore, impedance pulses of four white blood cell subpopulations (neutrophils, eosinophils, monocytes, and lymphocytes) from three donors were detected, achieving a classification accuracy of ≥99.2%. A classification network model was established based on purified white blood cell and applied to impedance pulses of two white blood cell mixtures, resulting in proportional distributions of four leukocyte subpopulations within theoretical ranges. These results indicated that the developed microfluidic impedance flow cytometer based on the virtual constriction microchannel could achieve both high detection throughput and high sensitivity, showing great potentials for clinical diagnostics and blood analysis.
Comparing machine learning techniques for neonatal mortality prediction: insights from a modeling competition
Authors: Sullivan Brynne A. , Moreira Alvaro G. , McAdams Ryan M. , Knake Lindsey A. , Husain Ameena , Qiu Jiaxing , Mudireddy Avinash , Majeedi Abrar , Shalish Wissam , Lake Douglas E. , Vesoulis Zachary A. 
Published: December 2024

Abstract
Background
Predicting mortality risk in neonatal intensive care units (NICUs) is challenging due to complex, variable clinical and physiological data. Machine learning (ML) offers potential for more accurate risk stratification.

Objective
To compare the performance of various ML models in predicting NICU mortality using a team-based modeling competition.

Methods
We conducted a modeling competition with five neonatologist-led teams applying ML techniques—logistic regression, CatBoost, neural networks, random forest, and XGBoost—to a shared dataset from over 6,000 NICU admissions. The dataset included static demographic and clinical variables, alongside daily samples of heart rate and oxygen saturation. Each team developed models to predict mortality risk at baseline and within 7 days. Models were evaluated using the area under the receiver operator characteristic curve (AUC). Results were presented at a national meeting, where an audience poll ranked models before AUC results were revealed.

Results
The audience favored the most complex model (CNN) for real-world application, though logistic regression achieved the highest AUC on test data. Teams employed varied feature selection, tuning, and evaluation strategies.

Conclusions
Logistic regression outperformed more complex models, highlighting the importance of selecting modeling methods based on data characteristics, interpretability, and expertise rather than model complexity alone.

Impact

By demonstrating that model complexity does not necessarily equate to better predictive performance, this research encourages the careful selection of modeling approaches.
Noninvasive early identification of durable clinical benefit from immune checkpoint inhibition: a prospective multicenter study (NCT04566432)
Authors: Ai Xinghao , Jia Bo , He Zhiyi , Zhang Junping , Zhuo Minglei , Zhao Jun , Wang Zhe , Zhang Jiexia , Fan Zaiwen , Zhang Xiaotong , Li Chong , Jin Feng , Li Ziming , Ma Xia , Tang Hao , Yan Xiang , Li Wei , Xiong Yuanyuan , Yin Huan , Chen Rongrong , Lu Shun 
Published: December 2024

AbstractImmune checkpoint inhibitors (ICIs) have changed the treatment landscape for patients with non-small cell lung cancer (NSCLC). In spite of durable responses in some patients, many patients develop early disease progression during the ICI treatment. Thus, early identification of patients with no durable benefit would facilitate the clinical decision for these patients. In this prospective, multicenter study, 101 non-EGFR/ALK patients who received ICI treatment were enrolled after screening 328 stage III-IV NSCLC patients. At the date of cutoff, 83 patients were eligible for ICI efficacy evaluation, with 56 patients having progress-free survival (PFS) over 6 months, which was defined as durable clinical benefit (DCB). A multimodal model was established by integrating normalized bTMB, early dynamic of ctDNA and the first RECIST response. This model could robustly predict DCB with area under the curve (AUC) of 0.878, sensitivity of 79.2% at 86.4% specificity (accuracy = 80.0%). This model was further validated in the independent cohort of the DIREct-On study with AUC of 0.887, sensitivity of 94.7% at 85.3% specificity (accuracy = 90.3%). Patients with higher predict scores had substantially longer PFS than those with lower scores (training cohort: median PFS 13.6 vs 4.2 months, P < 0.001, HR = 0.24; validation cohort: median PFS 11.0 vs 2.2 months, P < 0.001, HR = 0.17). Taken together, these results demonstrate that integrating early changes of ctDNA, normalized bTMB, and the first RECIST response can provide accurate, noninvasive, and early prediction of durable benefits for NSCLC patients treated with ICIs. Further prospective studies are warranted to validate these findings and guide clinical decision-making for optimal immunotherapy in NSCLC patients.
Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems
Authors: EL Sayed Noura G. , Yousef Ali M. , El-Saady Gaber , Alanazi Meshari D. , Ziedan Hamdy A. , Abdelsattar Montaser 
Published: December 2024

AbstractLow Voltage Ride Through (LVRT) is considered one of the main and serious problems facing the electrical grid. It occurs due to three-phase symmetric faults and asymmetric faults such as a double line to ground fault that applies in this system. This paper applies Static Synchronous Compensators (STATCOM) to improve the LVRT capability and dynamic performance of an electrical grid linked to a Photovoltaic (PV)/Wind hybrid system through grid disturbances. A hybrid power system containing a PV station that produces 1 MW and a wind farm from type Doubly Fed Induction Generator (DFIG) that produces 9 MW is connected to STATCOM with 48 pulses at PCC bus and energized load. It compensates reactive power to improve LVRT that occurred due to fault. The applied STATCOM controller adjusts the voltage of the PCC bus during an occuring fault on the grid by compensating reactive power. STATCOM is controlled by a Proportional–Integral–Derivative (PID) and is compared with STATCOM controlled by Artificial Intelligence Control (AIC)-based on Proportional—Integral Fuzzy Logic Control (PI FLC). The Lightning Attachment Procedure Optimization Algorithm (LAPO) optimization method is used to adjust the parameters of the PI controller to reduce error signals. A simulation model of the suggested hybrid power system has been performed using Matlab/Simulink. The simulation results of STATCOM proved powerful and the effectiveness of STATCOM with PI FLC in reducing voltage dip, compensating active power of wind and PV farm, protecting DC-link voltage of PV and wind from overvoltage and oscillation that happens at three-phase fault and double line to ground fault as compared with PID STATCOM in enhancement LVRT capability, and power quality.
Nanobubble nucleation by pulsed laser illumination of colloidal gold nanoparticles
Authors: Sharma Yatha , Ohl Claus-Dieter , Rosselló Juan Manuel 
Published: December 2024

AbstractThis study expands upon a technique our team previously developed for generating nanobubbles on demand with a collimated pulsed laser beam. This work highlights how the controlled addition of gold nanoparticles enhances nanobubble generation efficiency in water, even at laser intensities well below the threshold for multiphoton ionization. Specifically, we investigated the influence of nanoparticles of three distinct sizes on the laser fluence threshold for bubble nucleation and the lifetime of the resultant nanobubbles. Our findings confirm that nanoparticles with a diameter of 60 nm exhibit the greatest nucleation efficiency, achieving nearly 45 % at a fluence threshold of around $$70\,(\pm \,11)\,\hbox {mJ/cm}^2$$. Interestingly, nanoparticle size did not impact the nanobubble lifetime.
TelAP2 links TelAP1 to the telomere complex in Trypanosoma brucei
Authors: Weisert Nadine , Majewski Verena , Hartleb Laura , Luko Katarina , Lototska Liudmyla , Krapoth Nils Christian , Ulrich Helle D. , Janzen Christian J. , Butter Falk 
Published: December 2024

AbstractThe extracellular parasite Trypanosoma brucei evades the immune system of the mammalian host by periodically exchanging its variant surface glycoprotein (VSG) coat. Hereby, only one VSG gene is transcribed from one of 15 subtelomeric so-called bloodstream form expression sites (BES) at any given timepoint, while all other BESs are silenced. VSG gene expression is altered by homologous recombination using a large VSG gene repertoire or by a so-called in situ switch, which activates a previously silent BES. Transcriptional activation, VSG switching and VSG silencing during developmental differentiation from the bloodstream form to the procyclic form present in the tsetse fly vector are tightly regulated. Due to their subtelomeric position, telomere-associated proteins are involved in the regulation of VSG expression. Three functional homologs of mammalian telomere complex proteins have been characterized thus far, and novel telomere-interacting proteins, such as telomere-associated protein 1 (TelAP1), have recently been identified. Here, we used mass spectrometry-based proteomics and interactomics approaches, telomere pull-down assays with recombinant material and immunofluorescence analysis to elucidate the interactions of 21 other putative TelAPs. We investigated the influence on VSG expression and showed that depletion of TelAPs does not ultimately lead to changes in VSG expression. Additionally, we examined the interaction patterns of four TelAPs with the TbTRF/TbTIF2/TbRAP1 telomere complex by reciprocal affinity purification. We further propose that TelAP1 interacts with Tb927.6.4330, now called TelAP2, and that TelAP1 depends on this interaction to form a complex with the telomeric proteins TbTRF, TbTIF2 and TbRAP1.
Spinal instrumentation length affects adjacent segment range of motion and intradiscal pressure
Authors: Liebsch Christian , Obid Peter , Vogt Morten , Schlager Benedikt , Wilke Hans-Joachim 
Published: December 2024

AbstractScoliosis instrumentation length depends on the type and degree of deformity and the individual preference of the surgeon. This in vitro study aimed to explore effects of increasing instrumentation length on adjacent segment mobility and intervertebral disc loading. Six fresh frozen human spine specimens (C7-sacrum) with entire rib cage from young adult donors (26–45 years) were loaded with pure moments of 5 Nm. Range of motion (ROM) of all segments was determined using optical motion tracking. Lumbar intradiscal pressure (IDP) was measured using flexible pressure sensors from L1 to L5. The specimens were tested in two groups with increasing posterior instrumentation length in proximal (group 1) and distal direction (group 2). Significant (p < 0.05) adjacent segment ROM increases compared to the condition without any instrumentation and compared to other instrumentations were primarily found proximally to the instrumentation in lateral bending. IDP significantly (p < 0.05) increased in flexion in the distal adjacent segment for T4-L1 instrumentation and by up to 550% at instrumented levels compared to the condition without instrumentation. These findings may explain clinical complications such as adjacent segment disease and associated proximal and distal junctional kyphosis. To reduce loads on adjacent segments, instrumentation should therefore be applied as short as reasonable.
Anogenital distance on MRI does not correlate to surgical diagnosis of endometriosis in patients without prior abdominal surgery
Authors: Harth Sebastian , Metze Lena , Leufkens Daniel , Roller Fritz C. , Brose Alexander , Zeppernick Felix , Meinhold-Heerlein Ivo , Krombach Gabriele A. 
Published: December 2024

AbstractAnogenital distance (AGD) is regarded as a potential biomarker for endometriosis, and a measurement on MRI images has been found to be promising. This study aimed to evaluate the measurement of AGD on MRI to predict the surgical diagnosis of endometriosis. We included 127 patients who received an MRI for endometriosis between October 2018 and February 2023. AGD was measured on MRI by two readers (MRI-AGD-AC: clitoris to anus; MRI-AGD-AF: posterior fourchette to anus). The feasibility and interobserver reliability of AGD measurements were evaluated. Differences in AGD between patient groups were analyzed. The intraclass correlation coefficient estimates indicated a good to excellent reliability of MRI-AGD-AC (0.92; 95% CI: 0.83–0.95) and a poor to good reliability of MRI-AGD-AF (0.68; 95% CI: 0.27–0.83). No statistically significant differences in the mean MRI-AGD-AC and MRI-AGD-AF in patients with and without surgical diagnosis of DIE (p = 0.413; p = 0.110), peritoneal endometriosis with and without DIE (p = 0.641; p = 0.323), and ovarian endometriosis (p = 0.155; p = 0.150) were found. The AUC ranged from 0.475 (95% CI: 0.365–0.584) to 0.586 (95% CI: 0.454–0.718). Thus, AGD does not constitute a valuable biomarker for patients with clinically suspected endometriosis.
Optimal cerebral perfusion pressure during induced hypertension and its impact on delayed cerebral infarction and functional outcome after subarachnoid hemorrhage
Authors: Kranawetter Beate , Tuzi Sheri , Moerer Onnen , Mielke Dorothee , Rohde Veit , Malinova Vesna 
Published: December 2024

AbstractDisturbed cerebral autoregulation (CA) increases the dependency of cerebral blood flow (CBF) on cerebral perfusion pressure (CPP). Thus, induced hypertension (IHT) is used to prevent secondary ischemic events. The pressure reactivity index (PRx) assesses CA and can determine the optimal CPP (CPPopt). This study investigates CPPopt in patients with subarachnoid hemorrhage (SAH) treated with IHT and its impact on delayed cerebral infarction and functional outcome. This is a retrospective observational study including SAH patients treated between 2012 and 2020. PRx defines the correlation coefficient of intracranial pressure (ICP) and the mean arterial pressure (MAP). The CPP corresponding to the lowest PRx-value describes CPPopt. Primary outcome parameters were deleayed cerebral infarction and functional outcome. In patients without IHT, higher deviations of measured CPP from CPPopt were associated with delayed cerebral infarction (p = 0.001). Longer time spent with a CPP below the calculated CPPopt during IHT led to an increased risk of developing delayed cerebral infarction (r = 0.39, p = 0.002). A larger deviation of measured CPP from CPPopt correlated with an unfavorable outcome in patients treated with IHT (p = 0.04) and without IHT (p = 0.0007). Patients with severe aneurysmal SAH may benefit from an individualized CPP management and the calculation of CPPopt may help to guide IHT.
Protective effect of interferon type I on barrier function of human airway epithelium during rhinovirus infections in vitro
Authors: Boland Helena , Endres Adrian , Kinscherf Ralf , Schubert Ralf , Wilhelm Beate , Schwarzbach Hans , Jonigk Danny , Braubach Peter , Rohde Gernot , Bellinghausen Carla 
Published: December 2024

AbstractThe airway epithelium provides a crucial barrier against infection with respiratory pathogens. This barrier can be impaired following viral infection, paving the way for bacterial superinfections. Type I interferons (IFNs) are important antiviral mediators, and inhaled formulations of these glycoproteins are considered a potential approach for the treatment of respiratory viral infections. To investigate if type I IFNs can also protect against virus-induced epithelial barrier dysfunction, differentiated primary bronchial epithelial cells were pre-treated with IFN-β1a and subsequently infected with human rhinovirus (HRV) for 24 to 72h. Moreover, to functionally assess the effects of IFN-β1a pre-treatment on barrier integrity, we conducted co-infection experiments, in which cells were initially infected with HRV, and superinfected with Streptococcus pneumoniae 24 to 72 h later. In untreated cells, HRV infection significantly damaged ZO-1 positive tight junctions and cilia, and transiently increased permeability, whereas the barrier of cultures pre-treated with IFN-β1a remained intact. In co-infection experiments, bacteria were able to penetrate deeper into the cell layers of HRV-infected cultures than into those of uninfected cells. IFN-β1a pre-treatment abrogated virus-induced damage to the epithelial barrier. Taken together, these data demonstrate a beneficial effect of IFN-β in protecting epithelial barrier function in addition to its antiviral effects.
Hour-glass spectra due to oxygen doping in cobaltates
Authors: Peng W. , Guo H. , Schmidt W. , Piovano A. , Luetkens H. , Chen C.-T. , Hu Z. , Komarek A. C. 
Published: December 2024

AbstractThe magnetic excitation spectrum of most high-temperature superconducting (HTSC) cuprates is hour-glass shaped. The observation of hour-glass spectra in the isostructural Sr-doped cobaltates La2−xSrxCoO4 gives rise to a deeper understanding of these spectra. So far, hour-glass spectra have been only observed in those systems that evolve from incommensurate magnetic peaks. Here, we report on the appearance of hour-glass spectra in oxygen-doped cobaltates La2CoO4+δ. The high-energy part of the hour-glass spectrum of oxygen doped cobaltates is extremely anisotropic with a very prominent stripe-like appearance not seen that clearly in purely Sr-doped compounds. A charge stripe scenario is evidenced by (polarized) neutron diffraction measurements and also corroborated by spin wave simulations. Our results indicate that charge stripes are the origin of the anisotropic stripe- or diamond-shaped high-energy part of the hour-glass spectrum. A link between hour-glass spectra and charge stripes could be of relevance for the physics in HTSC cuprates.
Early Language, Social Communication, and Autism Characteristics of Young Toddlers at Elevated Likelihood for Autism Identified by the First Years Inventory–Lite
Authors: Artis Jonet , Nowell Sallie W. , Dubay Michaela , Grzadzinski Rebecca , Thompson Kelsey , Choi Elizabeth , Baranek Grace T. , Watson Linda R. 
Published: December 2024

Purpose:
The purposes of this article were (a) to compare the developmental skills of toddlers whose scores on the First Years Inventory–Lite (FYI-Lite), an early screening tool, indicated an elevated likelihood of a later diagnosis of autism (ELA) to the developmental skills of toddlers at a lower likelihood of a later diagnosis of autism (LLA) and (b) to examine how autism characteristics are correlated with communication measures in toddlers at an ELA.

Method:
We assessed the language, social communication (SC) skills, and characteristics of autism demonstrated by 45 toddlers at an ELA and 37 toddlers at an LLA between the ages of 11 and 18 months and compared group scores on these measures. We also examined the correlations between the characteristics of autism and language measures within the ELA group.

Results:
Toddlers at an ELA demonstrated lower scores on measures of global expressive and receptive language, receptive vocabulary, gestures, and response to joint attention bids as well as SC characteristics of autism when compared to those demonstrated by toddlers at an LLA. There were no significant differences between groups on expressive vocabulary, language profiles (i.e., the relationship between receptive and expressive scores), or restrictive and repetitive behaviors. Within the ELA group, the SC characteristics of autism were significantly associated with their global receptive and expressive language skills.

Conclusions:
On the basis of the FYI-Lite screening tool, toddlers at an ELA are demonstrating delays in language and SC skills when compared to toddlers identified with an LLA. For toddlers at an ELA, the SC characteristics of autism are significantly associated with early language skills.

Supplemental Material:

https://doi.org/10.23641/asha.27969444
Long-term properties of coronal off-limb structures
Authors: Bourgeois S. , Chierichini S. , Soós Sz. , Erdélyi R. , Liu J. , Korsós M. B. , Gafeira R. , Barata T. 
Published: December 2024

Context. Extracting plasma structures in the solar corona (e.g. jets, loops, prominences) from spacecraft imagery data is essential in order to ascertain their unique properties and for our understanding of their evolution.
Aims. Hence, our aim is to detect all coronal off-limb structures over a solar cycle and to analyse their statistical properties. In particular, we investigated the intensity and density evolution of these coronal structures, with a specific focus on active longitudes in the corona, that is, longitudinal regions where the solar activity is unequivocally dominant.
Methods. We developed a methodology based on mathematical morphology (MM) algorithms to extract these coronal structures from extreme ultraviolet (EUV) images taken by the Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) in the 304 Å wavelength channel during Solar Cycle (SC) 24.
Results. The resulting dataset consists of 877 843 structures spanning the whole period from June 2010 to December 2021 with a three-hour cadence. We assessed the main characteristics of these coronal off-limb structures, such as their length, width, area, perimeter, latitude, and longitude (evaluated at the centre of the structures), as well as their intensity corrected for the charge-coupled device (CCD) sensitivity degradation of the AIA instrument.
Conclusions. Regarding most of these properties, we find similar trends to the behaviour of the on-disk features, including the butterfly diagram and the structures that migrate towards the polar regions (also referred to as ‘rush-to-the-poles’ structures) expanding during the rising phase of SC 24 until the reversal of the magnetic field at the solar poles. We uncover an interesting distribution: lower-intensity coronal structures seem to behave differently with respect to higher-intensity structures. The butterfly diagram is clearly shaped by the high-intensity structures, while the lower-intensity structures are more dispersed and survive during the declining phase of SC 24. We also find evidence of the existence of active longitudes in the corona and of their dependence on differential rotation and latitude.