bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiparameter critical quantum metrology with impurity probes
Authors: Mihailescu George , Bayat Abolfazl , Campbell Steve , Mitchell Andrew K 
Published: April 2024

AbstractQuantum systems can be used as probes in the context of metrology for enhanced parameter estimation. In particular, the delicacy ofcriticalsystems to perturbations can make them ideal sensors. Arguably the simplest realistic probe system is a spin-12impurity, which can be manipulated and measuredin-situwhen embedded in a fermionic environment. Although entanglement between a single impurity probe and its environment produces nontrivial many-body effects, criticality cannot be leveraged for sensing. Here we introduce instead the two-impurity Kondo model as a novel paradigm for critical quantum metrology, and examine the multiparameter estimation scenario at finite temperature. We explore the full metrological phase diagram numerically and obtain exact analytic results near criticality. Enhanced sensitivity to the inter-impurity coupling driving a second-order phase transition is evidenced by diverging quantum Fisher information (QFI) and quantum signal-to-noise ratio (QSNR). However, with uncertainty in both coupling strength and temperature, the multiparameter QFI matrix becomes singular—even though the parameters to be estimated are independent—resulting in vanishing QSNRs. We demonstrate that by applying a known control field, the singularity can be removed and measurement sensitivity restored. For general systems, we show that the degradation in the QSNR due to uncertainties in another parameter is controlled by the degree of correlation between the unknown parameters.
Evaluating perovskite solar panels for thermal stability and inclination performance through finite element modelling
Authors: Wang Ranfu , Liu Xinzhi , Shafie Suhaidi 
Published: April 2024

Abstract
This paper presents a foresight simulation of perovskite solar modules, focusing on their behavior under different wind velocities and the thermal effects of varying solar irradiance conditions. Despite the burgeoning interest in Perovskite solar panels (PSPs) due to their lower material costs and promising efficiencies, there exist significant research gaps, particularly in the interaction between wind flow and thermal variations, as well as the performance dynamics under distinct wind velocities. To address these gaps, Finite Element Modelling (FEM) simulations were conducted to analyze the thermal stability and wind stress resistance of PSPs, employing a structural design analogous to commercial silicon PV panels. The simulations revealed that the implementation of a cooling system effectively lowered the average temperature of the perovskite layer by a factor of 2.46, significantly reducing the risk of thermal degradation. Additionally, wind stress simulations demonstrated a direct proportionality between the vertical pressure on the panels and their inclination angles, suggesting that lower angles could minimize wind-induced damage while considering daily solar azimuth. The study’s outcomes contribute to the understanding of PSPs’ mechanical and thermal resilience, proposing an optimized design approach for enhanced durability and efficiency in real-world applications. However, the segregation of thermal and wind flow simulations suggests an area for further integrated studies to fully comprehend the simultaneous effects of environmental factors on PSP performance.
An improved nested 3-phase 5-level MLI design with optimized output voltage and total harmonic distortion
Authors: S Sivamani , S P Mangaiyarkarasi , S Senthilkumar 
Published: April 2024

Abstract
Multilevel Inverters (MLIs) have advanced progressively and demonstrated enormous capacity in power electronics. To provide a 5-level voltage output with a 3-phase full-bridge arrangement and an additional bi-directional switch, a dc voltage input was split by two capacitors. This setup has two issues namely the output voltage limiting the magnitude of the input supply voltage and the voltage disparity between the isolating capacitors. This study suggests an improved nested 3-phase 5-level MLI design with a voltage level and total harmonic distortion (THD) that are both optimized. The suggested arrangement has the features of a lower proportion of passive elements and separated DC sources as it is constructed with a cascade linking of nested two-level cells (NTCs). The suggested unit cell was found to produce a 9-level output voltage (line) by producing a 5-level output voltage (phase) with a peak value that is double the level of the input voltage. The output voltage increasing the capacity of the suggested circuit is its prominent advantage, and the efficacy of the suggested design is 95% and validated by the simulated resultsKeywords: Multilevel Inverters (MLIs), Total harmonic distortion (THD), Voltage level.
A Biological Approach to Periorbital Aesthetics in Caucasian Females: A Review of the Literature
Authors: Zanchetta-Balint Erik , Hersant Barbara , Hanan Lyor , Meningaud Jean Paul 
Published: April 2024

Abstract

The face plays an important role in human interactions, and the periorbital region is particularly important for recognition and attractiveness. There are several studies on the beauty of the periorbital region with a variety of methodologies, but few articles consider the attractiveness factors derived from evolutionary psychology such as symmetry, dimorphism, age and average, neoteny, and facial expression. The aim of this study was to identify periorbital attractiveness criteria in Caucasian females based on experimental studies and to interpret them in the light of studies on biological attractiveness factors. A review of literature was conducted with PubMed, the Cochrane Library Database, and EMBASE. Studies published after March 20, 2022, were analyzed, and no date limit was applied to reference papers. The search strategy was focused on 3 main concepts: attractiveness AND evaluation AND facial feature of periorbital region. A total of 780 articles were identified with this search strategy; 534 were excluded based on title and abstract and another 110 after full text assessment. Eighteen articles were finally included in the analysis. The main factors identified were an ascending intercanthal axis and eyebrow axis, a regular pretarsal plate and a well-defined upper lid crease, no scleral show, and an open eye fissure exposing the upper half of the iris. In our review we were able to identify objective anthropometric characteristics linked to biological attractiveness criteria that may be helpful in preoperative planning and assessment of the periorbital region of patients.

Level of Evidence: 3
Analysis of Emerging Variants of Turkey Reovirus using Machine Learning
Authors: KafiKang Maryam , Abeysiriwardana Chamudi , Singh Vikash K , Young Koh Chan , Prichard Janet , Mor Sunil K , Hendawi Abdeltawab 
Published: April 2024

Abstract
Avian reoviruses continue to cause disease in turkeys with varied pathogenicity and tissue tropism. Turkey enteric reovirus has been identified as a causative agent of enteritis or inapparent infections in turkeys. The new emerging variants of turkey reovirus, tentatively named turkey arthritis reovirus (TARV) and turkey hepatitis reovirus (THRV), are linked to tenosynovitis/arthritis and hepatitis, respectively. Turkey arthritis and hepatitis reoviruses are causing significant economic losses to the turkey industry. These infections can lead to poor weight gain, uneven growth, poor feed conversion, increased morbidity and mortality and reduced marketability of commercial turkeys. To combat these issues, detecting and classifying the types of reoviruses in turkey populations is essential. This research aims to employ clustering methods, specifically K-means and Hierarchical clustering, to differentiate three types of turkey reoviruses and identify novel emerging variants. Additionally, it focuses on classifying variants of turkey reoviruses by leveraging various machine learning algorithms such as Support Vector Machines, Naive Bayes, Random Forest, Decision Tree, and deep learning algorithms, including convolutional neural networks (CNNs). The experiments use real turkey reovirus sequence data, allowing for robust analysis and evaluation of the proposed methods. The results indicate that machine learning methods achieve an average accuracy of 92%, F1-Macro of 93% and F1-Weighted of 92% scores in classifying reovirus types. In contrast, the CNN model demonstrates an average accuracy of 85%, F1-Macro of 71% and F1-Weighted of 84% scores in the same classification task. The superior performance of the machine learning classifiers provides valuable insights into reovirus evolution and mutation, aiding in detecting emerging variants of pathogenic TARVs and THRVs.
The volumetric ADC histogram analysis in differentiating stage IA endometrial carcinoma from endometrial polyp
Authors: Zhao Yujiao , You Cong , Zhou Xin , Li Xiaotian , Zhang Cheng , Wu Yanhong , Shen Wen 
Published: April 2024

Abstract

Objective
This study aimed to explore the value of apparent diffusion coefficient (ADC) histogram based on whole lesion volume in distinguishing stage IA endometrial carcinoma from the endometrial polyp.

Methods
MRI of 108 patients with endometrial lesions confirmed by pathology were retrospectively analysed, including 65 cases of stage IA endometrial carcinoma and 43 cases of endometrial polyp. The volumetric ADC histogram metrics and general imaging features were evaluated and measured simultaneously. All the features were compared between the 2 groups. The receiver operating characteristic curve was utilized to evaluate the diagnostic performance.

Results
The mean, max, min, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values of endometrial carcinoma were significantly lower than that of polyp (all P &lt; .05). The skewness and kurtosis of ADC values in the endometrial carcinoma group were significantly higher than those in the endometrial polyp group, and the variance of ADC values in the endometrial carcinoma group was lower than those in the endometrial polyp group (all P &lt; .05). Endometrial carcinoma demonstrated more obvious myometrial invasion combined with intralesion haemorrhage than polyp (all P &lt; .05). The 25th percentile of ADC values achieved the largest areas under the curve (0.861) among all the ADC histogram metrics and general imaging features, and the sensitivity and specificity were 83.08% and 76.74%, with the cut-off value of 1.01 × 10−3 mm2/s.

Conclusion
The volumetric ADC histogram analysis was an effective method in differentiating endometrial carcinoma from an endometrial polyp. The 25th percentile of ADC values has satisfactory performance for detecting malignancy in the endometrium.

Advances in knowledge
The ADC histogram metric based on whole lesion is a promising imaging-maker in differentiating endometrial benign and malignant lesions.
Phase transitions and degradation/oxidation mechanisms in lead-free CsSnI3 halide perovskites
Authors: Ivanova Alexandra , Golikova Margarita , Luchnikov Lev , Gostishchev Pavel , Shetinin Igor , Voronov Victor , Saranin Danila , Khovaylo Vladimir 
Published: April 2024

Abstract
Halide perovskites possess ultra-low thermal conductivity and show high potential for thermoelectric devices. The chemical properties and molecular structure of halide perovskite materials are not completely stable under ambient conditions, which hinders their use in thermoelectric generators. Changes in the properties of bulk halide perovskite thermoelectrics are accompanied by partial phase transitions and surface oxidation processes. In this paper, we conducted a comprehensive study of the transport and structural properties of CsSnI3, which were pristine by vacuum melting followed by spark plasma sintering. The research results on the electrical transport of these materials revealed that exposure to an inert atmosphere does not deteriorate stability and the properties of the materials remain unchanged. However, prolonged exposure to air leads to a significant degradation of the electrical transport properties. Contrary to thin-film samples, the shift to the double perovskite structure from the perovskite one is limited to a specific surface layer. This change significantly influences the electrical transport of the material while maintaining the essential properties of both perovskite types.
Technological parameters of thin-film pulsed laser scribing for perovskite photovoltaics
Authors: Ishteev Rustam , Gostishchev Pavel , Tiukhova Mariia , Sorokin Anton , Ishteev Arthur , Kondratenko Vladimir 
Published: April 2024

Abstract
Over the past decade, the power conversion efficiency of halide perovskite solar cells has shown a rapid increase to 26.1%. The significant efficiency growth and the relative simplification of the technology for obtaining thin-film solar cells due to liquid printing methods determine the high potential for the low-cost perovskite solar cells manufacturing. However, efficient use of cell geometry is comparable to the size of standard crystalline-Si wafers (156:156 mm and more). Therefore, modular geometry similar to amorphous-Si solar cell approaches is used to scale perovskite solar cells. Serial electrical connection of thin-film cells requires precise processing of the conductive layers that form the device p-i-n structure. The subject of research is the development of a full pulsed laser scribing cycle for inverted perovskite solar cells. In this work, we propose a study of a laser-patterning technology In2O3:SnO2 (ITO) conductive layer and a photoactive perovskite layer Cs0,2(CH(NH2)2)0,8PbI3. Process regimes of transparent conducting electrodes based on ITO and halide perovskite layer Cs0,2(CH(NH2)2)0,8PbI3 laser patterning were obtained. The optimal parameters for the multipass mode processing of ITO and perovskite layer were determined. The cell was electrically isolated at a scribe line width of 30 μm.
Association of perioperative oral swallowing function with post-esophagectomy outcomes and nutritional statuses in patients with esophageal cancer
Authors: Matsumoto Sohei , Wakatsuki Kohei , Nakade Hiroshi , Kunishige Tomohiro , Miyao Shintaro , Aoki Satoko , Tsujimoto Akinori , Tatsumi Takanari , Soga Masahiro , Sho Masayuki 
Published: April 2024

Abstract
Dysphagia after esophagectomy is a serious complication; however, no method has been established to accurately assess swallowing function. We evaluated the association of swallowing function tests with patients’ post-esophagectomy complications and nutritional statuses. We retrospectively reviewed the data of 95 patients with esophageal cancer who underwent esophagectomy between 2016 and 2021. We performed perioperative swallowing function tests, including the repetitive saliva swallowing test (RSST), maximum phonation time (MPT), and laryngeal elevation (LE). Patients with recurrent laryngeal nerve palsy (RLNP) and respiratory complications (RC) had significantly lower postoperative RSST scores than patients without them; the scores in patients with or without anastomotic leakage (AL) were similar. Postoperative MPT in patients with RLNP was shorter than that in patients without RLNP; however, it was similar to that in patients with or without AL and RC. LE was not associated with any complications. Patients with an RSST score ≤2 at 2 weeks post-esophagectomy had significant weight loss at 1, 6, and 12 months postoperatively compared with patients with an RSST score ≥3. The proportion of patients with severe weight loss (≥20% weight loss) within 1 year of esophagectomy was significantly greater in patients with RSST scores ≤2 than in those with RSST scores ≥3. Multivariate analysis showed that an RSST score ≤2 was the only predictor of severe post-esophagectomy weight loss. RSST scoring is a simple tool for evaluating post-esophagectomy swallowing function. A lower RSST score is associated with postoperative RLNP, RC, and poor nutritional status.
Non-invasive imaging in acute decompensated heart failure with preserved ejection fraction
Authors: Dhont Sebastiaan , Verbrugge Frederik H , Verwerft Jan , Bertrand Philippe B 
Published: April 2024

Abstract
Non-invasive imaging plays an increasingly important role in emergency medicine, given the trend towards smaller, portable ultrasound devices, the integration of ultrasound imaging across diverse medical disciplines, and the growing evidence supporting its clinical benefits for the patient. Heart failure with preserved ejection fraction (HFpEF) provides a compelling illustration of the impactful role that imaging plays in distinguishing diverse clinical presentations of heart failure with numerous associated comorbidities, including pulmonary, renal, or hepatic diseases. While a preserved left ventricular ejection fraction might misguide the clinician away from diagnosing cardiac disease, there are several clues provided by cardiac, vascular, and lung ultrasonography, as well as other imaging modalities, to rapidly identify (decompensated) HFpEF. Congestion remains the primary reason why patients with heart failure (irrespective of ejection fraction) seek emergency care. Furthermore, comprehensive phenotyping is becoming increasingly important, considering the development of targeted treatments for conditions exhibiting HFpEF physiology, such as cardiac amyloidosis. Timely recognition in such cases has lasting implications for long-term outcomes.
Can wage transparency alleviate gender sorting in the labour market?
Authors: Bamieh Omar , Ziegler Lennart 
Published: April 2024

SUMMARY
A large share of the gender wage gap can be attributed to occupation and employer choices. If workers are not well informed about these pay differences, increasing wage transparency might alleviate the gender gap. We test this hypothesis by examining the impact of mandatory wage postings. In 2011, Austria introduced a policy that requires firms to provide a minimum wage offer in job postings. To compare the pay prospects of vacancies before and after the introduction, we predict posted wages using detailed occupation–firm cells, which explain about 75% of the variation in wage postings. While we estimate a substantial gender gap of 15 log points, mandatory wage postings do not affect gender sorting into better-paying occupations and firms.
Shared Features Underlying Compact Genomes and Extreme Habitat Use in Chironomid Midges
Authors: Nell Lucas A , Weng Yi-Ming , Phillips Joseph S , Botsch Jamieson C , Book K Riley , Einarsson Árni , Ives Anthony R , Schoville Sean D 
Published: April 2024

Abstract
Nonbiting midges (family Chironomidae) are found throughout the world in a diverse array of aquatic and terrestrial habitats, can often tolerate harsh conditions such as hypoxia or desiccation, and have consistently compact genomes. Yet we know little about the shared molecular basis for these attributes and how they have evolved across the family. Here, we address these questions by first creating high-quality, annotated reference assemblies for Tanytarsus gracilentus (subfamily Chironominae, tribe Tanytarsini) and Parochlus steinenii (subfamily Podonominae). Using these and other publicly available assemblies, we created a time-calibrated phylogenomic tree for family Chironomidae with outgroups from order Diptera. We used this phylogeny to test for features associated with compact genomes, as well as examining patterns of gene family evolution and positive selection that may underlie chironomid habitat tolerances. Our results suggest that compact genomes evolved in the common ancestor of Chironomidae and Ceratopogonidae and that this occurred mainly through reductions in noncoding regions (introns, intergenic sequences, and repeat elements). Significantly expanded gene families in Chironomidae included biological processes that may relate to tolerance of stressful environments, such as temperature homeostasis, carbohydrate transport, melanization defense response, and trehalose transport. We identified several positively selected genes in Chironomidae, notably sulfonylurea receptor, CREB-binding protein, and protein kinase D. Our results improve our understanding of the evolution of small genomes and extreme habitat use in this widely distributed group.
Duplicate Gene Expression and Possible Mechanisms of Paralog Retention During Bacterial Genome Expansion
Authors: Garber Arkadiy I , Sano Emiko B , Gallagher Amy L , Miller Scott R 
Published: April 2024

Abstract
Gene duplication contributes to the evolution of expression and the origin of new genes, but the relative importance of different patterns of duplicate gene expression and mechanisms of retention remains debated and particularly poorly understood in bacteria. Here, we investigated gene expression patterns for two lab strains of the cyanobacterium Acaryochloris marina with expanding genomes that contain about 10-fold more gene duplicates compared with most bacteria. Strikingly, we observed a generally stoichiometric pattern of greater combined duplicate transcript dosage with increased gene copy number, in contrast to the prevalence of expression reduction reported for many eukaryotes. We conclude that increased transcript dosage is likely an important mechanism of initial duplicate retention in these bacteria and may persist over long periods of evolutionary time. However, we also observed that paralog expression can diverge rapidly, including possible functional partitioning, for which different copies were respectively more highly expressed in at least one condition. Divergence may be promoted by the physical separation of most Acaryochloris duplicates on different genetic elements. In addition, expression pattern for ancestrally shared duplicates could differ between strains, emphasizing that duplicate expression fate need not be deterministic. We further observed evidence for context-dependent transcript dosage, where the aggregate expression of duplicates was either greater or lower than their single-copy homolog depending on physiological state. Finally, we illustrate how these different expression patterns of duplicated genes impact Acaryochloris biology for the innovation of a novel light-harvesting apparatus and for the regulation of recA paralogs in response to environmental change.
Age Deficits in Associative Memory Are Not Alleviated by Multisensory Paradigms
Authors: Badham Stephen P , Atkin Christopher , Stacey Jemaine E , Henshaw Helen , Allen Harriet A , Roberts Katherine L 
Published: April 2024

AbstractObjectivesAge deficits in memory are widespread, this affects individuals at a personal level, and investigating memory has been a key focus in cognitive aging research. Age deficits occur in memory for an episode, where information from the environment is integrated through the senses into an episodic event via associative memory. Associating items in memory has been shown to be particularly difficult for older adults but can often be alleviated by providing support from the external environment. The current investigation explored the potential for increased sensory input (multimodal stimuli) to alleviate age deficits in associative memory. Here, we present compelling evidence, supported by Bayesian analysis, for a null age-by-modality interaction.MethodsAcross three preregistered studies, young and older adults (n = 860) completed associative memory tasks either in single modalities or in multimodal formats. Study 1 used either visual text (unimodal) or video introductions (multimodal) to test memory for name-face associations. Studies 2 and 3 tested memory for paired associates. Study 2 used unimodal visual presentation or cross-modal visual-auditory word pairs in a cued recall paradigm. Study 3 presented word pairs as visual only, auditory only, or audiovisual and tested memory separately for items (individual words) or associations (word pairings).ResultsTypical age deficits in associative memory emerged, but these were not alleviated by multimodal presentation.DiscussionThe lack of multimodal support for associative memory indicates that perceptual manipulations are less effective than other forms of environmental support at alleviating age deficits in associative memory.