bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization strategies for operational parameters of Rydberg atom-based amplitude modulation receiver
Authors: Wu 吴 Yuhao 宇豪 , Xiao 肖 Dongping 冬萍 , Zhang 张 Huaiqing 淮清 , Yan 阎 Sheng 晟 
Published: October 2024

Abstract
The Rydberg atom-based receiver, as a novel type of antenna, demonstrates broad application prospects in the field of microwave communications. However, since Rydberg atomic receivers are nonlinear systems, mismatches between the parameters of the received amplitude modulation (AM) signals and the system’s linear workspace and demodulation operating points can cause severe distortion in the demodulated signals. To address this, the article proposes a method for determining the operational parameters based on the mean square error (MSE) and total harmonic distortion (THD) assessments and presents strategies for optimizing the system’s operational parameters focusing on linear response characteristics (LRC) and linear dynamic range (LDR). Specifically, we employ a method that minimizes the MSE to define the system’s linear workspace, thereby ensuring the system has a good LRC while maximizing the LDR. To ensure that the signal always operates within the linear workspace, an appropriate carrier amplitude is set as the demodulation operating point. By calculating the THD at different operating points, the LRC performance within different regions of the linear workspace is evaluated, and corresponding optimization strategies based on the range of signal strengths are proposed. Moreover, to more accurately restore the baseband signal, we establish a mapping relationship between the carrier Rabi frequency and the transmitted power of the probe light, and optimize the slope of the linear demodulation function to reduce the MSE to less than 0.8 × 10−4. Finally, based on these methods for determining the operational parameters, we explore the effects of different laser Rabi frequencies on the system performance, and provide optimization recommendations. This research provides robust support for the design of high-performance Rydberg atom-based AM receivers.
Neural decoding and feature selection methods for closed-loop control of avoidance behavior
Authors: Liu Jinhan , Younk Rebecca , M Drahos Lauren , S Nagrale Sumedh , Yadav Shreya , S Widge Alik , Shoaran Mahsa 
Published: October 2024

Abstract

Objective. Many psychiatric disorders involve excessive avoidant or defensive behavior, such as avoidance in anxiety and trauma disorders or defensive rituals in obsessive-compulsive disorders. Developing algorithms to predict these behaviors from local field potentials (LFPs) could serve as the foundational technology for closed-loop control of such disorders. A significant challenge is identifying the LFP features that encode these defensive behaviors. Approach. We analyzed LFP signals from the infralimbic cortex and basolateral amygdala of rats undergoing tone-shock conditioning and extinction, standard for investigating defensive behaviors. We utilized a comprehensive set of neuro-markers across spectral, temporal, and connectivity domains, employing SHapley Additive exPlanations for feature importance evaluation within Light Gradient-Boosting Machine models. Our goal was to decode three commonly studied avoidance/defensive behaviors: freezing, bar-press suppression, and motion (accelerometry), examining the impact of different features on decoding performance. Main results. Band power and band power ratio between channels emerged as optimal features across sessions. High-gamma (80–150 Hz) power, power ratios, and inter-regional correlations were more informative than other bands that are more classically linked to defensive behaviors. Focusing on highly informative features enhanced performance. Across 4 recording sessions with 16 subjects, we achieved an average coefficient of determination of 0.5357 and 0.3476, and Pearson correlation coefficients of 0.7579 and 0.6092 for accelerometry jerk and bar press rate, respectively. Utilizing only the most informative features revealed differential encoding between accelerometry and bar press rate, with the former primarily through local spectral power and the latter via inter-regional connectivity. Our methodology demonstrated remarkably low training/inference time and memory usage, requiring

<

310 ms for training,

<

0.051 ms for inference, and 16.6 kB of memory, using a single core of AMD Ryzen Threadripper PRO 5995WX CPU. Significance. Our results demonstrate the feasibility of accurately decoding defensive behaviors with minimal latency, using LFP features from neural circuits strongly linked to these behaviors. This methodology holds promise for real-time decoding to identify physiological targets in closed-loop psychiatric neuromodulation.
The 140 GHz notch filter development for millimeter-wave diagnostics protection on the stellarator Wendelstein 7-X
Authors: Himes Logan , Qiu Shasha , Domier Calvin , Li Xiaoliang , Zhu Yilun , Jr Neville Luhmann 
Published: October 2024

Abstract
The notch filter plays a crucial role as a protective
component in microwave diagnostics, primarily by addressing issues
related to catastrophic interference. Designed for millimeter-wave
diagnostics on the stellarator Wendelstein 7-X (W7-X), a WR-6
waveguide-based notch filter has been successfully developed to
effectively isolate leakage from auxiliary heating gyrotrons
operating at 140 GHz. The filter incorporates cylindrical cavities
resonating at 140 GHz for the TE11p mode, with coupling
structures that are designed and optimized for high-efficiency
coupling. This configuration simplifies fabrication, thereby
ensuring high-yield production. Experimental fabrication and
in-house characterization confirm the notch filter's exceptional
performance, with over 60 dB rejection in the vicinity of 140 GHz
and low insertion loss (< 2 dB) above and below the notch
frequency across a broad frequency bandwidth (121–138 GHz,
142–163 GHz). The utilization of this high-frequency structure
fabrication technology can be applied to millimeter-wave diagnostics
on other machines. In addition to the design elements of the notch
filter, this paper also provides a detailed discussion of the
fabrication process and methodology.
The natural history and multitrophic ecological network of the highly restricted butterfly Catasticta truncata (Lepidoptera Pieridae) from urban areas of Loja, Ecuador
Authors: Padrón Pablo Sebastián 
Published: October 2024

Abstract
This study describes the natural history and multitrophic interactions of the highly restricted Andean butterfly species Catasticta truncata (Lathy & Rosenberg, 1912) from the urban and surrounding areas of Loja in southern Ecuador. The immature stages of the butterfly are described and illustrated, and the host plant is identified as Phoradendron nervosum Oliv. (Viscaceae), an aerial-stem hemiparasitic shrub that parasitizes trees of Salix humboldtiana (Willd) (Salicaceae). Multitrophic interactions that this species maintains in the urban ecosystem are described. One interaction includes a predator, Ambastus villosus Stal, 1872 (Reduvidae). In addition, and for the first time for the genus Catasticta Butler, 1870, the presence of an endoparasitoid wasp (Ichneumonidae) and a hyperparasitoid (secondary parasitoid) wasp Pediobius sp. (Eulophidae), both potentially undescribed species, are documented. Flowers from plants in the Asteraceae family are visited by adults of C. truncata. This new information highlights the ecological roles of these butterflies in the green areas within the city of Loja. Finally, due to the highly restricted distribution of this species within Loja’s green areas and the striking beauty of adults, along with this butterfly being a component within 4 trophic levels in the urban ecological network, this butterfly could be a flagship for the city of Loja. Local actions that help the conservation of this species should positively affect the organisms that interact with it and positively influence the well-being of the city’s inhabitants in general.
Effect of disability, homelessness, and neighborhood marginalization on risk-adjustment for hospital performance measurement
Authors: Roberts Surain B , Colacci Michael , Shi Jiamin , Brown Hilary K , Asrhaf Mahliqa , Stukel Therese , Razak Fahad , Verma Amol A 
Published: October 2024

Abstract
Background
It is not known how disability, homelessness, or neighborhood marginalization influence risk-adjusted hospital performance measurement in a universal health care system.
Methods
We evaluated the effect of including these equity-related factors in risk-adjustment models for in-hospital mortality, and 7- and 30-day readmission in 28 hospitals in Ontario, Canada. We compared risk-adjustment with commonly-used clinical factors to models that also included homelessness, disability, and neighborhood indices of marginalization. We evaluated models in historical data using internal-external cross-validation. We calculated risk-standardized outcome rates for each hospital in a recent reporting period using mixed-effects logistic regression.
Results
The cohort included 544,805 admissions. Adjustment for disability, homelessness, and neighborhood marginalization had little impact on discrimination or calibration of risk-adjustment models. However, it influenced comparative hospital performance on risk-standardized 30-day readmission rates, resulting in 5 hospitals being reclassified between below-average, average, and above-average groups. No hospitals were reclassified for mortality and 7-day readmission.
Conclusion
In a system with universally insured hospital services, adjustment for disability, homelessness, and neighborhood marginalization influenced estimates of hospital performance for 30-day readmission but not 7-day readmission or in-hospital mortality. These findings can inform researchers and policymakers as they thoughtfully consider when to adjust for these factors in hospital performance measurement.
Associations between pre-diagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort
Authors: Gunchick Valerie , Jia Guochong , Wen Wanqing , Long Jirong , Shu Xiao-Ou , Zheng Wei 
Published: October 2024

Abstract
Biliary tract cancer (BTC) is potentially influenced by metabolic dysregulation yet previous metabolomic evaluations are limited. To address this gap, we prospectively investigated associations of blood metabolites and BTC risk in the UK biobank cohort study. We used Cox proportional hazards models to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) between 249 plasma metabolites per standard deviation and BTC risk in 232,781 participants. We implemented exploratory factor analyses and evaluated associations between factors and BTC risk. Associations at p-value&lt;0.001 were considered statistically significant after multiple comparison adjustments. In a median follow-up of 11.8 years, we identified 268 first primary incident BTC cases. Of 49 biomarkers significantly associated with BTC risk, 12% were fatty acids, and 49%, 31%, and 8% were cholesterol, triglyceride, and phospholipid to total lipids ratios, respectively. Multiple cholesterol ratios were inversely associated with BTC with HRs (95% CIs) of 0.74 (0.65-0.84), p&lt;6.0x10-6. Conversely, a triglyceride ratio was positively associated with BTC with an HR (95% CI) of 1.40 (1.22-1.61), p=2.5x10-6. Congruently, a factor high in cholesterol measures and low in triglyceride measures was inversely associated with BTC. Multiple metabolite biomarkers were associated with BTC risk, suggesting metabolism has a substantial role in BTC etiology.
Assessing the utilization of Current Procedural Terminology codes in pharmacists’ services using MarketScan data
Authors: Rawal Smita , Xu Jianing , Chen Xianyan , Hall Daniel B , Ricabal Lazara Cabrera , Young Henry N , Caballero Joshua 
Published: October 2024

Abstract

Purpose
The Medicare Prescription Drug, Improvement, and Modernization Act and Centers for Medicare and Medicaid Services affirmation enabled pharmacists to use Current Procedural Terminology (CPT) codes for documentation and billing of clinical services. Despite legislative support and potential availability of pharmacists’ clinical services, a gap may exist between the reported availability and actual prevalence of these services in real-world settings. The objective was to assess the prevalence of selected CPT codes (99605-99607, 98966-989968, and 99211-99215) in documenting and billing potential pharmacists’ clinical services using recent available data.

Methods
This retrospective study utilized the Merative MarketScan Medicare database from the period January 1, 2016, to December 31, 2020. The dataset included deidentified patient information and CPT codes. Patients with CPT codes for face-to-face medication therapy management (MTM) services (99605-99607), codes for telephonic assessment and management (A/M) services (98966-98968), and/or codes for evaluation and management (E/M) services (99211-99215) were identified from outpatient claims. Descriptive statistics, including prevalence rates, were calculated. This study was approved by an institutional review board and followed STROBE guidelines.

Results
There were claims data for 2,784,629 enrollees from 2016 through 2020. Prevalence rates varied during this period, with lower rates for MTM face-to-face CPT codes (0.06%) and telephonic A/M codes (0.58%), while E/M CPT codes showed higher prevalence rates (87%).

Conclusion
Study findings exhibited a limited adoption rate for MTM CPT codes for billing pharmacists’ clinical services. Future research may focus on assessing pharmacists’ perceptions and identifying facilitators and barriers to using CPT codes in billing clinical services.
scMGATGRN: a multiview graph attention network–based method for inferring gene regulatory networks from single-cell transcriptomic data
Authors: Yuan Lin , Zhao Ling , Jiang Yufeng , Shen Zhen , Zhang Qinhu , Zhang Ming , Zheng Chun-Hou , Huang De-Shuang 
Published: October 2024

Abstract
The gene regulatory network (GRN) plays a vital role in understanding the structure and dynamics of cellular systems, revealing complex regulatory relationships, and exploring disease mechanisms. Recently, deep learning (DL)–based methods have been proposed to infer GRNs from single-cell transcriptomic data and achieved impressive performance. However, these methods do not fully utilize graph topological information and high-order neighbor information from multiple receptive fields. To overcome those limitations, we propose a novel model based on multiview graph attention network, namely, scMGATGRN, to infer GRNs. scMGATGRN mainly consists of GAT, multiview, and view-level attention mechanism. GAT can extract essential features of the gene regulatory network. The multiview model can simultaneously utilize local feature information and high-order neighbor feature information of nodes in the gene regulatory network. The view-level attention mechanism dynamically adjusts the relative importance of node embedding representations and efficiently aggregates node embedding representations from two views. To verify the effectiveness of scMGATGRN, we compared its performance with 10 methods (five shallow learning algorithms and five state-of-the-art DL-based methods) on seven benchmark single-cell RNA sequencing (scRNA-seq) datasets from five cell lines (two in human and three in mouse) with four different kinds of ground-truth networks. The experimental results not only show that scMGATGRN outperforms competing methods but also demonstrate the potential of this model in inferring GRNs. The code and data of scMGATGRN are made freely available on GitHub (https://github.com/nathanyl/scMGATGRN).
Post-uterine artery embolization: 3-day MRI changes and their predictive value for therapeutic efficacy in symptomatic uterine fibroids
Authors: Chen Xuan-Yi , Zhang Ming-Zhao , Wang Jun-Kang , Li Bo , Qin Rong-Qing , Zhang Yu-Bo , Wan Chen-Yu , Hu Ruo-Chen , Zhu Jia-Yang , Zhou Bing 
Published: October 2024

Abstract

Objectives
To summarize and discuss 3-day MRI changes after uterine artery embolization (UAE) and their predictive value for efficacy.

Methods
From August 2016 to April 2023, 52 patients underwent enhanced MRI within 3 days post-embolization. We retrospectively analysed clinical and imaging data, focusing on MR characteristics at the 3-day mark, comparing pre- and post-embolization images. Patients were categorized based on 3-day MR findings into complete and incomplete necrosis groups, with clinical efficacy compared over 6 months.

Results
Our study included 30 cases of multiple leiomyomas and 22 of single leiomyomas. Postoperative MRI revealed complete necrosis in 31 tumours and incomplete necrosis in 21 tumours. At 3 days, MR ADC imaging showed increased signals in necrotic areas, mildly increased signals on T2-weighted images, and minimal changes on T1-weighted images. Six-month follow-up showed no significant difference in symptom improvement between groups (P = .524, P = .587, P = .615). However, a significant difference was found in leiomyoma volume reduction, with 70.63 ± 15.53% in the complete necrosis group and 51.36 ± 25.20% in the incomplete necrosis group (P &lt; .001), highlighting the impact of necrosis extent on volumetric reduction.

Conclusion
Short-term MRI changes after UAE can reflect changes in blood supply to fibroids and normal uterine tissue, and have good predictive value for medium-term embolization efficacy.

Advances in knowledge
This study describes short-term MR manifestations of complete and incomplete embolism, aiding in predicting long-term outcome.
Disentangling gray matter atrophy and its neurotransmitter architecture in drug-naïve Parkinson’s disease: an atlas-based correlation analysis
Authors: Pang Huize , Li Xiaolu , Yu Ziyang , Yu Hongmei , Bu Shuting , Wang Juzhou , Zhao Mengwan , Liu Yu , Jiang Yueluan , Fan Guoguang 
Published: October 2024

Abstract
Parkinson’s disease is characterized by multiple neurotransmitter systems beyond the traditional dopaminergic pathway, yet their influence on volumetric alterations is not well comprehended. We included 72 de novo, drug-naïve Parkinson’s disease patients and 61 healthy controls. Voxel-wise gray matter volume was evaluated between Parkinson’s disease and healthy controls, as well as among Parkinson’s disease subgroups categorized by clinical manifestations. The Juspace toolbox was utilized to explore the spatial relationship between gray matter atrophy and neurotransmitter distribution. Parkinson’s disease patients exhibited widespread GM atrophy in the cerebral and cerebellar regions, with spatial correlations with various neurotransmitter receptors (FDR-P &lt; 0.05). Cognitively impaired Parkinson’s disease patients showed gray matter atrophy in the left middle temporal atrophy, which is associated with serotoninergic, dopaminergic, cholinergic, and glutamatergic receptors (FDR-P &lt; 0.05). Postural and gait disorder patients showed atrophy in the right precuneus, which is correlated with serotoninergic, dopaminergic, gamma-aminobutyric acid, and opioid receptors (FDR-P &lt; 0.05). Patients with anxiety showed atrophy in the right superior orbital frontal region; those with depression showed atrophy in the left lingual and right inferior occipital regions. Both conditions were linked to serotoninergic and dopaminergic receptors (FDR-P &lt; 0.05). Parkinson’s disease patients exhibited regional gray matter atrophy with a significant distribution of specific neurotransmitters, which might provide insights into the underlying pathophysiology of clinical manifestations and develop targeted intervention strategies.
Establishment of characteristic fingerprint of volatile components in Batocera horsfieldi (Coleoptera: Cerambycidae) host plants and correlation analysis with climatic factors
Authors: Wei Xinju , Xu Danping , Liu Zhiqian , Wu Junhao , Zhuo Zhihang 
Published: October 2024

Abstract
Batocera horsfieldi is the primary stemboring pest of timber forests and economic forests in China, belonging to the Coleoptera Cerambycidae. In this study, gas chromatography-mass spectrometry was used to analyze the volatile components in the supplementary feeding hosts and oviposition hosts of B. horsfieldi, and characteristic fingerprints were constructed. A total of 168 compounds were detected, primarily consisting of terpenes, hydrocarbons, and aldehydes, with 75, 23, and 14 compounds, respectively. Hierarchical cluster analysis and principal component analysis yielded consistent results. The similarity evaluation results showed that the similarity range between healthy poplar tree bark and healthy poplar leaves was the highest, reaching 0.953–0.98, and 10 common peaks were identified. The analysis of the correlation with climatic factors shows that most compounds are positively correlated with mean annual humidity, mean annual temperature, mean annual minimum temperature, and mean annual maximum temperature. Only caryophyllene and alpha-guaiene are negatively correlated with temperature-related climatic factors. Pathway analysis also reveals differences in the direct effects of different compounds. These analytical results provide a theoretical basis for further studying the selection mechanism of B. horsfieldi on hosts and offer theoretical guidance for identifying plant-derived attractants with biological activity.
Effects of temperature on the development of Rachiplusia nu (Lepidoptera: Noctuidae) and Chrysodeixis includens (Lepidoptera: Noctuidae) and implications on population growth in Brazil
Authors: Pasqualotto Larissa , Alves Juarez da Silva , Pedó Helene , de Souza Trombim Michele , de Souza Trombim Mireli , Soares Vanessa Nogueira , Horikoshi Renato Jun , Miraldo Leonardo , Ovejero Ramiro , Berger Geraldo , Bernardi Daniel 
Published: October 2024

Abstract
Temperature is an elementary component in mathematical models for predicting the biotic potential of insects. In this study, the objective was to evaluate the impact of different constant temperatures of 8, 10, 15, 20, 25, 30, and 32°C on the biological parameters, lower temperature thresholds (TT), and estimating the number of annual generations (NAG) of Rachiplusia nu and Chrysodeixis includens, both pests associated with the soybean crop in Brazil. There was no development of the immature stages of R. nu at 8°C, as was also found for C. includens at 8 and 10°C. However, at 10°C all stages of R. nu developed. In general, temperatures of 20 and 25°C were the most suitable for the development of R. nu and C. includens, providing egg to adult viability of over 60% and the highest total fecundities. However, the temperature of 32°C negatively affected the parameters of the fertility life table. Rachiplusia nu showed the lowest TT (eggs: 4.9°C; larvae: 10.8°C; pupa: 14.1°C; and egg to adult: 8.9°C) when compared with C. includens (eggs: 7.5°C; larvae: 15.3°C; pupa: 16.1°C; and egg to adult: 11.3°C). Based on TT values, the NAG varied from 3.9 in cold regions to 7.5 in warm regions. However, for C. includens, we can infer that the species can reach up to 8.8 generations in warm regions. The results of the present study are important for understanding the occurrence of R. nu and C. includens in field conditions and can help with the implications of management strategies.