bluuebunny/crossref_metadata_2025_split huggingface dataset:
Polyandry and sperm competition in two traumatically inseminating species of Strepsiptera (Insecta)
Authors: Jandausch Kenny , Wanjura Nico , Escalona Hermes , Sann Manuela , Beutel Rolf G. , Pohl Hans , Niehuis Oliver 
Published: May 2024

AbstractPolyandry, the practice of females mating with multiple males, is a strategy found in many insect groups. Whether it increases the likelihood of receiving beneficial genes from male partners and other potential benefits for females is controversial. Strepsiptera are generally considered monandrous, but in a few species females have been observed copulating serially with multiple males. Here we show that the offspring of a single female can have multiple fathers in two Strepsiptera species: Stylops ovinae (Stylopidae) and Xenos vesparum (Xenidae). We studied female polyandry in natural populations of these two species by analysis of polymorphic microsatellite loci. Our results showed that several fathers can be involved in both species, in some cases up to four. Mating experiments with S. ovinae have shown that the first male to mates with a given female contributes to a higher percentage of the offspring than subsequent males. In X. vesparum, however, we found no significant correlation between mating duration and offspring contribution. The prolonged copulation observed in S. ovinae may have the advantage of reducing competition with sperm from other males. Our results show that monandry may not be the general pattern of reproduction in the insect order Strepsiptera.
Longitudinal change of serum AIM2 levels after aneurysmal subarachnoid hemorrhage and its prognostic significance: a two-center prospective cohort study
Authors: Chen Ziyin , Zou Shengdong , Shan Hao , Liu Jin , Tian Da , Wu Xiaoyu , Du Quan , Dong Xiaoqiao , Yang Dingbo 
Published: May 2024

AbstractAbsent in melanoma 2 (AIM2) is implicated in neuroinflammation. Here, we explored the prognostic significance of serum AIM2 in human aneurysmal subarachnoid hemorrhage (aSAH). We conducted a consecutive enrollment of 127 patients, 56 of whom agreed with blood-drawings not only at admission but also at days 1, 2, 3, 5, 7 and 10 days after aSAH. Serum AIM2 levels of patients and 56 healthy controls were measured. Disease severity was assessed using the modified Fisher scale (mFisher) and World Federation of Neurological Surgeons Scale (WFNS). Neurological outcome at poststroke 90 days was evaluated via the modified Rankin Scale (mRS). Univariate analysis and multivariate analysis were sequentially done to ascertain relationship between serum AIM2 levels, severity, delayed cerebral ischemia (DCI) and 90-day poor prognosis (mRS scores of 3–6). Patients, in comparison to controls, had a significant elevation of serum AIM2 levels at admission and at days 1, 2, 3, 5, 7 and 10 days after aSAH, with the highest levels at days 1, 2, 3 and 5. AIM2 levels were independently correlated with WFNS scores and mFisher scores. Significantly higher serum AIM2 levels were detected in patients with a poor prognosis than in those with a good prognosis, as well as in patients with DCI than in those without DCI. Moreover, serum AIM2 levels independently predicted a poor prognosis and DCI, and were linearly correlated with their risks. Using subgroup analysis, there were no significant interactions between serum AIM2 levels and age, gender, hypertension and so on. There were substantially high predictive abilities of serum AIM2 for poor prognosis and DCI under the receiver operating characteristic curve. The combination models of DCI and poor prognosis, in which serum AIM2, WFNS scores and mFisher scores were incorporated, showed higher discriminatory efficiencies than anyone of the preceding three variables. Moreover, the models are delineated using the nomogram, and performed well under the calibration curve and decision curve. Serum AIM2 levels, with a substantial enhancement during early phase after aSAH, are closely related to bleeding severity, poor 90-day prognosis and DCI of patients, substantializing serum AIM2 as a potential prognostic biomarker of aSAH.
A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations
Authors: Fettah Khaled , Guia Talal , Salhi Ahmed , Betka Abir , Saidi Abdelaziz Salah , Teguar Madjid , Ali Enas , Bajaj Mohit , Mohammadi Shir Ahmad Dost , Ghoneim Sherif S. M. 
Published: May 2024

AbstractIn this study, we present a comprehensive optimization framework employing the Multi-Objective Multi-Verse Optimization (MOMVO) algorithm for the optimal integration of Distributed Generations (DGs) and Capacitor Banks (CBs) into electrical distribution networks. Designed with the dual objectives of minimizing energy losses and voltage deviations, this framework significantly enhances the operational efficiency and reliability of the network. Rigorous simulations on the standard IEEE 33-bus and IEEE 69-bus test systems underscore the effectiveness of the MOMVO algorithm, demonstrating up to a 47% reduction in energy losses and up to a 55% improvement in voltage stability. Comparative analysis highlights MOMVO's superiority in terms of convergence speed and solution quality over leading algorithms such as the Multi-Objective Jellyfish Search (MOJS), Multi-Objective Flower Pollination Algorithm (MOFPA), and Multi-Objective Lichtenberg Algorithm (MOLA). The efficacy of the study is particularly evident in the identification of the best compromise solutions using MOMVO. For the IEEE 33 network, the application of MOMVO led to a significant 47.58% reduction in daily energy loss and enhanced voltage profile stability from 0.89 to 0.94 pu. Additionally, it realized a 36.97% decrease in the annual cost of energy losses, highlighting substantial economic benefits. For the larger IEEE 69 network, MOMVO achieved a remarkable 50.15% reduction in energy loss and improved voltage profiles from 0.89 to 0.93 pu, accompanied by a 47.59% reduction in the annual cost of energy losses. These results not only confirm the robustness of the MOMVO algorithm in optimizing technical and economic efficiencies but also underline the potential of advanced optimization techniques in facilitating the sustainable integration of renewable energy resources into existing power infrastructures. This research significantly contributes to the field of electrical distribution network optimization, paving the way for future advancements in renewable energy integration and optimization techniques for enhanced system efficiency, reliability, and sustainability.
Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques
Authors: Zaukuu John-Lewis Zinia , Adams Zeenatu Suglo , Donkor-Boateng Nana Ama , Mensah Eric Tetteh , Bimpong Donald , Amponsah Lois Adofowaa 
Published: May 2024

AbstractDiscriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near infrared spectroscopy (NIRS). This study developed models to rapidly classify and predict 0, 10, 20, 30, 40, and 50% w/w of soybean and maize flour in red, black and yellow maca cultivars using a handheld spectrophotometer and chemometrics. Soy and maize adulteration of yellow MP was classified with better accuracy than in red MP, suggesting that red MP may be a more susceptible target for adulteration. Soy flour was discovered to be a more potent adulterant compared to maize flour. Using 18 different pretreatments, MP could be authenticated with R2CV in the range 0.91–0.95, RMSECV 6.81–9.16 g/,100 g and RPD 3.45–4.60. The results show the potential of NIRS for monitoring Maca quality.
Polysaccharide sulfotransferases: the identification of putative sequences and respective functional characterisation
Authors: Mistry Ravina , Byrne Dominic P. , Starns David , Barsukov Igor L. , Yates Edwin A. , Fernig David G. 
Published: May 2024

Abstract
The vast structural diversity of sulfated polysaccharides demands an equally diverse array of enzymes known as polysaccharide sulfotransferases (PSTs). PSTs are present across all kingdoms of life, including algae, fungi and archaea, and their sulfation pathways are relatively unexplored. Sulfated polysaccharides possess anti-inflammatory, anticoagulant and anti-cancer properties and have great therapeutic potential. Current identification of PSTs using Pfam has been predominantly focused on the identification of glycosaminoglycan (GAG) sulfotransferases because of their pivotal roles in cell communication, extracellular matrix formation and coagulation. As a result, our knowledge of non-GAG PSTs structure and function remains limited. The major sulfotransferase families, Sulfotransfer_1 and Sulfotransfer_2, display broad homology and should enable the capture of a wide assortment of sulfotransferases but are limited in non-GAG PST sequence annotation. In addition, sequence annotation is further restricted by the paucity of biochemical analyses of PSTs. There are now high-throughput and robust assays for sulfotransferases such as colorimetric PAPS (3′-phosphoadenosine 5′-phosphosulfate) coupled assays, Europium-based fluorescent probes for ratiometric PAP (3′-phosphoadenosine-5′-phosphate) detection, and NMR methods for activity and product analysis. These techniques provide real-time and direct measurements to enhance the functional annotation and subsequent analysis of sulfated polysaccharides across the tree of life to improve putative PST identification and characterisation of function. Improved annotation and biochemical analysis of PST sequences will enhance the utility of PSTs across biomedical and biotechnological sectors.
Montreal Cognitive Assessment Scores Do Not Associate With Communication Challenges Reported by Adults With Alzheimer's Disease or Parkinson's Disease
Authors: Stagge Faith , Lanzi Alyssa M. , Saylor Anna K. , Cohen Matthew L. 
Published: May 2024

Purposes:
Screening for cognitive-communication challenges in people with Alzheimer's disease (AD) or Parkinson's disease (PD) may benefit from multiple kinds of information about the client (e.g., patient-reported, performance-based). The purposes of this report are (a) to describe, using recently published score range descriptors (e.g., “mild,” “moderate”), the patient-reported communication challenges of people with AD or PD using the Communicative Participation Item Bank (CPIB) and the Aphasia Communication Outcome Measure (ACOM); and (b) to examine the relationships between the performance-based Montreal Cognitive Assessment (MoCA), a cognitive screener, and patient-reported CPIB and ACOM scores.

Method:
Participants were a convenience sample of 49 community-dwelling adults with AD or PD. Participants completed the measures in person as part of a larger assessment battery.

Results:
MoCA total scores ranged from 7 to 28. CPIB T-scores fell in the following ranges: 31% were “within normal limits,” 57% reflected “mildly” restricted participation, and 12% reflected “moderately” restricted participation. ACOM T-scores fell in the following ranges: 50% were either “within normal limits” or reflected “mild” impairment, 29% reflected “mild–moderately” impaired functional communication, and 21% reflected “moderately” impaired functional communication. There were only weak and nonsignificant correlations between T-scores on the ACOM or CPIB and scores on the MoCA, and there were no group differences on the ACOM or CPIB between individuals who screened positive versus negative on the MoCA.

Conclusion:
When screening individuals with AD or PD, patient-reported communication challenges seem to be complementary to information provided by the MoCA and perhaps most useful in screening for mild communication challenges.
Effects of Cervical Bracing on Elderly Patients With Dysphagia
Authors: Hernandez Jodi , Leverson Glen , Thibeault Susan L. 
Published: May 2024

Purpose:
This study aimed to determine if cervical bracing with a PMT collar increases risk of airway invasion and pharyngeal residue in elderly patients with dysphagia. Additionally, it aimed to identify patient preference for cervical bracing during deglutition.

Method:
Twenty-one patients underwent a videofluoroscopic swallow study. Thin liquid, nectar thick liquid, pudding, and cracker were administered with cervical collar on and off with order of condition randomized. The Penetration–Aspiration Scale (PAS) was used to grade swallows, with McNemar's test of symmetry used to determine whether the categorical PAS score was similar between conditions. Pharyngeal residue was measured following swallows. Patients were asked which condition they preferred, and which was more comfortable with “no difference” being a selection.

Results:

No significant difference in PAS categorization score was measured for any consistency (
p
= .317–.919). Significantly more pyriform sinus residue was measured in the collar off condition (
p
= .003), albeit amounts were within normative range, with no difference measured in vallecula residue between conditions (
p
= .939). Forty-five percent of participants preferred to swallow with the collar off, while 55% indicated no preference. Forty-one percent of participants indicated increased comfort with collar off, while 59% indicated no difference in comfort. No participant preferred swallowing or indicated increased comfort with the collar on.

Conclusions:
Presence of a cervical collar in elderly patients with dysphagia did not result in a significant difference in airway invasion or total pharyngeal residue. There was significantly more residue in the pyriform sinuses when cervical bracing was removed. The majority of patients did not indicate a difference in preference or comfort between collar on/off conditions.
A new covariance intersection based integrated SLAM framework for 3D outdoor agricultural applications
Authors: Kim Hann‐Gyoo , Lee Hea‐Min , Lee Seung‐Hwan 
Published: May 2024

AbstractThis letter introduces a novel integrated framework for simultaneous localization and mapping (SLAM) tailored for general agricultural applications. The framework combines a cutting‐edge SLAM method, LIO‐SAM, with covariance intersection for sensor fusion. Agricultural robots often operate in unstructured environments with sparse feature points and encounter repeated similar information, such as trees. Therefore, a fusion framework based on 3D SLAM augmented with additional information, such as feature‐independent GPS data, becomes essential. This study proposes an integrated SLAM framework by introducing a convergence strategy based on covariance analysis, incorporating a state‐of‐the‐art 3D SLAM technique. The convergence methods, namely “dynamic weight assignment” and “winner takes all”, are presented alternatively, tailored to seamlessly integrate with the proposed framework. Evaluations using a public dataset and an experiment demonstrate the effectiveness of the approach through numerical analysis and visual representation. The results illustrate that this method surpasses conventional approaches in accurately estimating the robot's position. In the future, this research will focus on automating crop cultivation and harvesting by integrating the proposed system with robot arm control.
Continuously wavelength‐tuneable general transmittance function in first‐order fibre multiwavelength filter based on composite combination of wave retarders
Authors: Jung Jaehoon , Lee Yong Wook 
Published: May 2024

AbstractThe wavelength tunability of a general transmittance function (GTF) is investigated in a first‐order fibre multiwavelength filter based on a polarisation‐diversified fibre loop, which utilised a composite combination of wave retarders. The filter consists of a polarisation beam splitter, two equal‐length high birefringence fibre (HBF) segments, and two different sets of wave retarders with each set positioned before each HBF segment. Specifically, a combination of a set of dual quarter‐wave retarders (QWRs) and another set of a QWR and a half‐wave retarder is focused upon. By considering the effect of the four wave retarders and two HBF segments on the output polarisation state (OPS) of each element in the filter, the four wave retarder angles (WRAs) are identified that caused all polarisation states on the OPS trace of the second HBF move in the direction of wavelength decrease, resulting in a redshift of the GTF. 360 WRA sets are derived that enabled tuning the GTF by one free spectral range SR. For eight sets chosen from the WRA sets, inducing a wavelength shift of SR/8 for each set order, wavelength‐shifted spectra are calculated. Finally, this theoretical prediction is experimentally verified, confirming the wavelength tunability of the GTF of the filter.
OCCASO
Authors: Carbajo-Hijarrubia J. , Casamiquela L. , Carrera R. , Balaguer-Núñez L. , Jordi C. , Anders F. , Gallart C. , Pancino E. , Drazdauskas A. , Stonkutė E. , Tautvaišienė G. , Carrasco J. M. , Masana E. , Cantat-Gaudin T. , Blanco-Cuaresma S. 
Published: May 2024

Context. Open clusters provide valuable information on stellar nucleosynthesis and the chemical evolution of the Galactic disk, as their age and distances can be measured more precisely with photometry than in the case of field stars.
Aims. Our aim is to study the chemical distribution of the Galactic disk using open clusters by analyzing the existence of gradients with Galactocentric distance, azimuth, or height from the plane and dependency with age.
Methods. We used the high-resolution spectra (R > 60 000) of 194 stars belonging to 36 open clusters to determine the atmospheric parameters and chemical abundances with two independent methods: equivalent widths and spectral synthesis. The sample was complemented with 63 clusters with high-resolution spectroscopy from literature.
Results. We measured LTE abundances for 21 elements: α (Mg, Si, Ca, and Ti), odd-Z (Na and Al), Fe-peak (Fe, Sc, V, Cr, Mn, Co, Ni, Cu, and Zn), and neutron-capture (Sr, Y, Zr, Ba, Ce, and Nd). We also provide non-local thermodynamic equilibrium abundances for elements when corrections are available. We find inner disk young clusters enhanced in [Mg/Fe] and [Si/Fe] compared to other clusters of their age. For [Ba/Fe], we report an age trend flattening for older clusters (age < 2.5 Ga). The studied elements follow the expected radial gradients as a function of their nucleosynthesis groups, which are significantly steeper for the oldest systems. For the first time, we investigate the existence of an azimuthal gradient, finding some hints of its existence among the old clusters (age > Ga).
Information content of JWST spectra of WASP-39b
Authors: Lueber Anna , Novais Aline , Fisher Chloe , Heng Kevin 
Published: May 2024

Context. The era of James Webb Space Telescope (JWST) transmission spectroscopy of exoplanetary atmospheres commenced with the study of the Saturn-mass gas giant WASP-39b as part of the Early Release Science (ERS) program. WASP-39b was observed using several different JWST instrument modes (NIRCam,, NIRISS, NIRSpec G395H and NIRSpec PRISM) and the spectra were published in a series of papers by the ERS team.
Aims. The current study examines the information content of these spectra measured using the different instrument modes, focusing on the complexity of the temperature-pressure profiles and number of chemical species warranted by the data. We examine if the molecules H2O, CO, CO2, K, H2S, CH4, and SO2 are detected in each of the instrument modes.
Methods. Two Bayesian inference methods are used to perform atmospheric retrievals: the standard nested sampling method, as well as the supervised machine learning method of the random forest (trained on a model grid). For nested sampling, Bayesian model comparison is used as a guide to identify the set of models with the required complexity to explain the data.
Results. Generally, non-isothermal transit chords are needed to fit the transmission spectra of WASP-39b, although the complexity of the temperature-pressure profile required is mode-dependent. The minimal set of chemical species needed to fit a spectrum is mode-dependent as well, and also depends on whether grey or non-grey clouds are assumed. When a non-grey cloud model is used to fit the NIRSpec G395H spectrum, it generates a spectral continuum that compensates for the water opacity. The same compensation is absent when fitting the non-grey cloud model to the NIRSpec PRISM spectrum (which has broader wavelength coverage), suggesting that it is spurious. The interplay between the cloud spectral continuum and the water opacity determines if sulphur dioxide is needed to fit either spectrum.
Conclusions. The inferred elemental abundances of carbon and oxygen and the carbon-to-oxygen (C/O) ratios are all mode- and model-dependent, and should be interpreted with caution. Bayesian model comparison does not always offer a clear path forward for favouring specific retrieval models (e.g. grey versus non-grey clouds) and thus for enabling unambiguous interpretations of exoplanet spectra.
Integrating the Rivet analysis tool into EPOS 4
Authors: Jahan Johannes , Werner Klaus , Vintache Damien 
Published: May 2024

EPOS 4 is the last version of the high-energy collision event generator EPOS, released publicly in 2022. It was delivered with improvements on several aspects, whether about the theoretical bases on which it relies, how they are handled technically, or regarding user’s interface and data compatibility.
This last point is especially important, as part of a commitment to provide the widest possible use. In this regard, a new output data format have been implemented, based on the HepMC standard libraries. This feature enables in particular the analysis of EPOS simulations with Rivet , an analysis and validation toolkit for Monte Carlo event generators, with recent major upgrades on concerning heavy-ion analysis methods. In order to take advantage of this, the use of Rivet has been implemented directly in the EPOS analysis machinery, ensuring an easy and fast solution for comparison with experimental data, beneficial for both developers and users. We will hence present here the details of this implementation and the results obtained thanks to it.
Measurements With A Quantum Vision Transformer: A Naive Approach
Authors: Pasquali Dominic , Grossi Michele , Vallecorsa Sofia 
Published: May 2024

In mainstream machine learning, transformers are gaining widespread usage. As Vision Transformers rise in popularity in computer vision, they now aim to tackle a wide variety of machine learning applications. In particular, transformers for High Energy Physics (HEP) experiments continue to be investigated for tasks including jet tagging, particle reconstruction, and pile-up mitigation.
An improved Quantum Vision Transformer (QViT) with a quantum-enhanced self-attention mechanism is introduced and discussed. A shallow circuit is proposed for each component of self-attention to leverage current Noisy Intermediate Scale Quantum (NISQ) devices. Variations of the hybrid architecture/model are explored and analyzed.
The results demonstrate a successful proof of concept for the QViT, and establish a competitive performance benchmark for the proposed design and implementation. The findings also provide strong motivation to experiment with different architectures, hyperparameters, and datasets, setting the stage for implementation in HEP environments where transformers are increasingly used in state of the art machine learning solutions.