bluuebunny/crossref_metadata_2025_split huggingface dataset:
A synthetic population for agent-based modelling in Canada
Authors: Prédhumeau Manon , Manley Ed 
Published: March 2023

AbstractIn order to anticipate the impact of local public policies, a synthetic population reflecting the characteristics of the local population provides a valuable test bed. While synthetic population datasets are now available for several countries, there is no open-source synthetic population for Canada. We propose an open-source synthetic population of individuals and households at a fine geographical level for Canada for the years 2021, 2023 and 2030. Based on 2016 census data and population projections, the synthetic individuals have detailed socio-demographic attributes, including age, sex, income, education level, employment status and geographic locations, and are related into households. A comparison of the 2021 synthetic population with 2021 census data over various geographical areas validates the reliability of the synthetic dataset. Users can extract populations from the dataset for specific zones, to explore ‘what if’ scenarios on present and future populations. They can extend the dataset using local survey data to add new characteristics to individuals. Users can also run the code to generate populations for years up to 2042.
Probing the behavior and kinetic studies of amphiphilic acrylate copolymers with bovine serum albumin
Authors: Mushtaq Shehla , Abbas Muhammad Asad , Nasir Habib , Mahmood Azhar , Iqbal Mudassir , Janjua Hussnain A. , Ahmad Nasir M. 
Published: March 2023

AbstractThis article presents that acrylate copolymers are the potential candidate against the adsorption of bovine serum albumin (BSA). A series of copolymers poly(methyl methacrylate) (pMMA), poly(3-sulfopropyl methacrylate-co-methyl methacrylate) p(SPMA-co-MMA), and poly(dimethylaminoethyl methacrylate-co-methyl methacrylate) p(DMAEMA-co-MMA) were synthesized via free radical polymerization. These amphiphilic copolymers are thermally stable with a glass transition temperature (Tg) 50–120 °C and observed the impact of surface charge on amphiphilic copolymers to control interactions with the bovine serum albumin (BSA). These copolymers pMD1 and pMS1 have surface charges, − 56.6 and − 72.6 mV at pH 7.4 in PBS buffer solution that controls the adsorption capacity of bovine serum albumin (BSA) on polymers surface. Atomic force microscopy (AFM) analysis showed minimum roughness of 0.324 nm and 0.474 nm for pMS1 and pMD1. Kinetic studies for BSA adsorption on these amphiphilic copolymers showed the best fitting of the pseudo-first-order model that showed physisorption and attained at 25 °C and pH 7.4 within 24 h.
The efficiency of tumble finishing as a final post-treatment for fatigue enhancement of notched laser powder bed fusion AlSi10Mg
Authors: Maleki Erfan , Bagherifard Sara , Unal Okan , Revuru Manoj , Bandini Michele , Guagliano Mario 
Published: March 2023

AbstractA hybrid post-treatment combining tumble finishing as a final step after shot peening and heat treatment was developed to alleviate the adverse effects of internal and surface defects on the fatigue performance of laser powder bed fusion AlSi10Mg samples. The effects of each post-treatment were investigated individually and synergistically on microstructure, surface morphology and roughness, hardness, residual stresses, porosity, and rotating bending fatigue behavior of V-notched AlSi10Mg samples. The results reveal that tumble finishing can highly reduce surface roughness by 28 and 32% compared to the as-built and heat-treated states while inducing extra surface layer hardening and compressive residual stresses. The hybrid post-treatment of heat treatment + shot peening + tumble finishing significantly increased the fatigue life of the samples by over 500 times higher compared to the as-built series.
An econometric analysis for the determinants of flight speed in the air transport of passengers
Authors: de Almeida Eric Eduardo , Oliveira Alessandro V. M. 
Published: March 2023

AbstractAccurately determining an aircraft's flight speed is crucial for optimizing airline performance, as it directly impacts factors such as fuel consumption and emissions. Flying at speeds higher than what is recommended by the manufacturer can result in increased fuel burn. However, flying at slower speeds may lead to longer flight times and competitive disadvantages for airlines as passengers typically prefer shorter travel times. This study empirically investigates the driving forces in the decision-making process of airlines when setting flight speeds to reduce costs while maintaining the quality of service provided to customers. We develop econometric models of planned flight cruise speed and actual mean flight speed. We analyze a vast amount of data, comprising millions of domestic flights within Brazil. Our results allow for policy recommendations that identify opportunities for improvements in airline flight operations optimization, with implications for the environmental footprint of commercial aviation.
Use of laboratory-developed assays in global HIV-1 treatment-monitoring and research
Authors: Malisa Jemima , Manak Mark , Michelo Clive , Imami Nesrina , Kibirige Catherine N. 
Published: March 2023

AbstractThere has been a surge in the emergence of HIV-1 drug resistance in Low and Middle-Income Countries (LMICs) due to poor drug-adherence and limited access to viral load testing, the current standard for treatment-monitoring. It is estimated that only 75% of people living with HIV (PLWH) worldwide have access to viral load testing. In LMICs, this figure is below 50%. In a recent WHO survey in mostly LMICs, 21 out of 30 countries surveyed found HIV-1 first-line pre-treatment drug resistance in over 10% of study participants. In the worst-affected regions, up to 68% of infants born to HIV-1 positive mothers were found to harbour first-line HIV-1 treatment resistance. This is a huge public health concern. Greater access to treatment-monitoring is required in LMICs if the UNAIDS “third 95” targets are to be achieved by 2030. Here, we review the current challenges of viral load testing and present the case for greater utilization of Laboratory-based assays that quantify intracellular HIV-1 RNA and/or DNA to provide broader worldwide access to HIV-1 surveillance, drug-resistance monitoring, and cure-research.
Extracellular vesicles are dynamic regulators of maternal glucose homeostasis during pregnancy
Authors: Zierden Hannah C. , Marx-Rattner Ruth , Rock Kylie D. , Montgomery Kristen R. , Anastasiadis Pavlos , Folts Lillian , Bale Tracy L. 
Published: March 2023

AbstractHomeostatic regulation of the maternal milieu during pregnancy is critical for maternal and fetal health. The placenta facilitates critical communication between maternal and fetal compartments, in part, through the production of extracellular vesicles (EVs). EVs enable tissue synchrony via cell–cell and long-distance communication and are at their highest circulating concentration during pregnancy. While much work has been done investigating how physiological challenges in pregnancy affect the fetus, the role of placental communication in maternal health has not been well examined. We previously identified placental O-glycosyl transferase (OGT), a glucose-sensing enzyme, as a target of maternal stress where OGT levels and activity affected the O-glycosylation of proteins critical for EV cargo loading and secretion. Here, we hypothesized that placental OGT plays an essential role in maternal homeostatic regulation during pregnancy via its regulation of maternal circulating EV concentrations. Our studies found that changes to key metabolic factors over the circadian cycle, including glucocorticoids, insulin, and glucose, were significantly associated with changes in circulating EV concentration. Targeting placental OGT in mice, we found a novel significant positive relationship between placental OGT and maternal circulating EV concentration that was associated with improving maternal glucose tolerance during pregnancy. Finally, an intravenous elevation in EVs, matching the concentration of EVs during pregnancy, shifted non-pregnant female glucose sensitivity, blunted glucose variance, and improved synchrony of glucose uptake. These data suggest an important and novel role for circulating EVs as homeostatic regulators important in maternal health during pregnancy.
Influence of altered serum and muscle concentrations of BDNF on electrophysiological properties of spinal motoneurons in wild-type and BDNF-knockout rats
Authors: Grzelak Norbert , Krutki Piotr , Bączyk Marcin , Kaczmarek Dominik , Mrówczyński Włodzimierz 
Published: March 2023

AbstractThe purpose of this study was to determine whether altered serum and/or muscle concentrations of brain-derived neurotrophic factor (BDNF) can modify the electrophysiological properties of spinal motoneurons (MNs). This study was conducted in wild-type and Bdnf heterozygous knockout rats (HET, SD-BDNF). Rats were divided into four groups: control, knockout, control trained, and knockout trained. The latter two groups underwent moderate-intensity endurance training to increase BDNF levels in serum and/or hindlimb muscles. BDNF and other neurotrophic factors (NFs), including glial cell-derived neurotrophic factor (GDNF), neurotrophin-3 (NT-3), nerve growth factor (NGF), and neurotrophin-4 (NT-4) were assessed in serum and three hindlimb muscles: the tibialis anterior (TA), medial gastrocnemius (MG), and soleus (Sol). The concentrations of tropomyosin kinase receptor B (Trk-B), interleukin-15 (IL-15), and myoglobin (MYO/MB) were also evaluated in these muscles. The electrophysiological properties of lumbar MNs were studied in vivo using whole-cell current-clamp recordings. Bdnf knockout rats had reduced levels of all studied NFs in serum but not in hindlimb muscles. Interestingly, decreased serum NF levels did not influence the electrophysiological properties of spinal MNs. Additionally, endurance training did not change the serum concentrations of any of the NFs tested but significantly increased BDNF and GDNF levels in the TA and MG muscles in both trained groups. Furthermore, the excitability of fast MNs was reduced in both groups of trained rats. Thus, changes in muscle (but not serum) concentrations of BDNF and GDNF may be critical factors that modify the excitability of spinal MNs after intense physical activity.
Automation of flow analysis in scleral vessels based on descriptive-associative algorithms
Authors: Kerimkhan Bekzhan , Nedzved Alexander , Zhumadillayeva Ainur , Dyussekeyev Kanagat , Uskenbayeva Gulzhan , Sultanova Bakhyt , Rzayeva Leila 
Published: March 2023

AbstractBlood flow reflects the eye's health and is disrupted in many diseases. Many pathological processes take place at the cellular level like as microcirculation of blood in vessels, and the processing of medical images is a difficult recognition task. Existing techniques for measuring blood flow are limited due to the complex assumptions, equipment and calculations requirements. In this paper, we propose a method for determining the blood flow characteristics in eye conjunctiva vessels, such as linear and volumetric blood speed and topological characteristics of the vascular net. The method preprocesses the video to improve the conditions of analysis and then builds an integral optical flow for definition of flow dynamical characteristic of eye vessels. These characteristics make it possible to determine changes in blood flow in eye vessels. We show the efficiency of our method in natural eye vessel scenes. The research provides valuable insights to novices with limited experience in the diagnosis and can serve as a valuable tool for experienced medical professionals.
Neurochemical effects of sepsis on the brain
Authors: Barichello Tatiana , Giridharan Vijayasree V , Catalão Carlos Henrique R , Ritter Cristiane , Dal-Pizzol Felipe 
Published: March 2023

Abstract
Sepsis is a life-threatening organ dysfunction triggered by a dysregulated host immune response to eliminate an infection. After the host immune response is activated, a complex, dynamic, and time-dependent process is triggered. This process promotes the production of inflammatory mediators, including acute-phase proteins, complement system proteins, cytokines, chemokines, and antimicrobial peptides, which are required to initiate an inflammatory environment for eliminating the invading pathogen. The physiological response of this sepsis-induced systemic inflammation can affect blood–brain barrier (BBB) function; subsequently, endothelial cells produce inflammatory mediators, including cytokines, chemokines, and matrix metalloproteinases (MMPs) that degrade tight junction (TJ) proteins and decrease BBB function. The resulting BBB permeability allows peripheral immune cells from the bloodstream to enter the brain, which then release a range of inflammatory mediators and activate glial cells. The activated microglia and astrocytes release reactive oxygen species (ROS), cytokines, chemokines, and neurochemicals, initiate mitochondrial dysfunction and neuronal damage, and exacerbate the inflammatory milieu in the brain. These changes trigger sepsis-associated encephalopathy (SAE), which has the potential to increase cognitive deterioration and susceptibility to cognitive decline later in life.
Consumer Survey on Hearing Aid Benefit and Satisfaction
Authors: Bannon Larissa , Picou Erin M. , Bailey Abram , Manchaiah Vinaya 
Published: March 2023

Purpose:There is unexplained variability in self-reported hearing aid outcomes. The aim of this study was to evaluate determinants of hearing aid benefit and satisfaction ratings using a large-scale customer survey and to analyze the relation between demographic variables, hearing aid attributes, benefit, and satisfaction.Method:The study used a retrospective design wherein 2,109 hearing aid users, recruited by Hearing Tracker and Hearing Loss Association of America, completed an online survey. The survey included questions about demographics, perceived hearing loss, devices, service delivery, cost, benefit, and satisfaction. The analytic approach included descriptive summaries and regression models to evaluate potential determinants of hearing aid benefit and satisfaction ratings.Results:Hearing aid sound quality, fit and comfort, and battery life were related to both benefit and satisfaction. Respondents who rated these outcomes favorably were also likely to benefit from, and be satisfied with, their hearing aids. Benefit was also related to degree of hearing loss, hearing aid experience, and cost. Hearing aid users with greater self-perceived hearing loss, more hearing aid experience, and more expensive hearing aids reported more benefit. Satisfaction was also related to age, employment status, and brand. Younger respondents, those who were students, and those using certain brands reported more satisfaction.Conclusions:The results highlight importance of good hearing aid outcomes (quality, fit/comfort, and battery life) for benefit and satisfaction ratings. Professionals who fit hearing aids should strive to focus on achieving these outcomes and researchers should strive to explain the remaining variability in ratings of benefit and satisfaction.Supplemental Material:https://doi.org/10.23641/asha.22280854
Medial Olivocochlear Reflex Strength in Ears With Low-to-Moderate Annual Noise Exposure
Authors: Lewis James D. , Goettl-Meyer Morgaine , Lee Donguk 
Published: March 2023

Purpose:
Studies in lower mammals demonstrate enhancement of the medial olivocochlear reflex (MOCR) following noise exposure. A similar effect may occur in humans, and there is some evidence of an individual's acoustic history affecting the MOCR. The current work evaluates the relationship between an individual's annual noise exposure history and their MOCR strength. Given the potential role of the MOCR as a biological hearing protector, it is important to identify factors associated with MOCR strength.

Method:
Data were collected from 98 normal-hearing young adults. Annual noise exposure history was estimated using the Noise Exposure Questionnaire. MOCR strength was assayed using click-evoked otoacoustic emissions (CEOAEs) measured with and without noise presented to the contralateral ear. MOCR metrics included the MOCR-induced otoacoustic emission (OAE) magnitude shift and phase shift. A CEOAE signal-to-noise ratio (SNR) of at least 12 dB was required for estimation of the MOCR metrics. Linear regression was applied to evaluate the relationship between MOCR metrics and annual noise exposure.

Results:
Annual noise exposure was not a statistically significant predictor of the MOCR-induced CEOAE magnitude shift. However, annual noise exposure was a statistically significant predictor of the MOCR-induced CEOAE phase shift—the MOCR-induced phase shift decreased with increasing noise exposure. Additionally, annual noise exposure was a statistically significant predictor of OAE level.

Conclusions:
Findings contrast with recent work that suggests MOCR strength increases with annual noise exposure. Compared with previous work, data for this study were collected using more stringent SNR criteria, which is expected to increase the precision of the MOCR metrics. Additionally, data were collected for a larger subject population with a wider range of noise exposures. Whether findings generalize to other exposure durations and levels is unknown and requires future study.
Audio–visual keyword transformer for unconstrained sentence‐level keyword spotting
Authors: Li Yidi , Ren Jiale , Wang Yawei , Wang Guoquan , Li Xia , Liu Hong 
Published: March 2023

AbstractAs one of the most effective methods to improve the accuracy and robustness of speech tasks, the audio–visual fusion approach has recently been introduced into the field of Keyword Spotting (KWS). However, existing audio–visual keyword spotting models are limited to detecting isolated words, while keyword spotting for unconstrained speech is still a challenging problem. To this end, an Audio–Visual Keyword Transformer (AVKT) network is proposed to spot keywords in unconstrained video clips. The authors present a transformer classifier with learnable CLS tokens to extract distinctive keyword features from the variable‐length audio and visual inputs. The outputs of audio and visual branches are combined in a decision fusion module. As humans can easily notice whether a keyword appears in a sentence or not, our AVKT network can detect whether a video clip with a spoken sentence contains a pre‐specified keyword. Moreover, the position of the keyword is localised in the attention map without additional position labels. Experimental results on the LRS2‐KWS dataset and our newly collected PKU‐KWS dataset show that the accuracy of AVKT exceeded 99% in clean scenes and 85% in extremely noisy conditions. The code is available at https://github.com/jialeren/AVKT.
Robust blind space‐time adaptive processing for measurement error mitigation in GNSS receivers
Authors: He Yuxin , Zhuang Xuebin , Hou Yanqing , Wu Linghua 
Published: March 2023

AbstractThe measurement errors induced by the space‐time adaptive processing (STAP) is gaining attention for its significant detriment to the precision of the global navigation satellite system (GNSS) receiver positioning. To mitigate measurement errors, the steering vector (SV) estimation method based on spreading is widely employed in measurement error mitigation algorithms. However, the hazard of the SV estimation fluctuation problem is ignored in these algorithms. In this paper, the specific harm of such SV estimation fluctuation problem is analysed. To alleviate such problem and to eliminate the measurement errors as much as possible, a robust STAP beamformer for GNSS receivers is proposed. First, to acquire a series of robust SVs in different integration times, a desired signal covariance (DSC) matrix is iteratively reconstructed to remove the disturbance from thermal noise and the residual jamming signals. Second, to eliminate measurement errors, a replacement matrix is formed to help guarantee the phase linearities of the tapped delay lines (TDLs). Numerical examples demonstrate that the method can achieve a set of stable SV estimations and linear phase TDLs, leading to a carrier‐to‐noise‐power ratio () of more than 50 dBHz and a code phase bias of less than 3.4 m, which outperform the methods used for comparison.
SS‐Norm: Spectral‐spatial normalization for single‐domain generalization with application to retinal vessel segmentation
Authors: Liu Yi‐Peng , Zeng Dongxu , Li Zhanqing , Chen Peng , Liang Ronghua 
Published: March 2023

AbstractRetinal vessel segmentation is an important computer vision task for eye retinopathy diagnosis. In the real scenarios, most datasets of source domain and target domain have distribution deviation, and the model often fails to generate accurate segmentation results due to the lack of data variation in single‐source domain, which damages the generalization ability to unseen target domains and may mislead doctors or artificial intelligence model in the following diseases diagnosis. Feature normalization is one feasible solution which can standardize data into uniform and stable distribution without additional data. However, the existing methods like batch normalization, uniform the data by global parameters. This leads to insufficient representation of important semantic information in the local region. To address this problem, the authors propose the spectral‐spatial normalization (SS‐Norm) module to enhance the generalization ability of the model. More specifically, the authors perform a discrete cosine transform (DCT) to decompose the feature into multiple frequency components and to analyze the semantic contribution degree of each component. By learning a spectral vector, the authors reweight the frequency components of features and therefore normalize the distribution in the spectral domain. Extensive experiments on six datasets prove the effectiveness of the authors’ methods.
A Step-by-Step Dissection of Cerebral Pathologies for Neurosurgical Trainees: The Middle Cerebral Artery Bifurcation Aneurysm
Authors: Sannwald Lennart Wilhelm , Moskopp Mats Leif , Moskopp Dag 
Published: March 2023

Abstract
Background Aneurysmal subarachnoid hemorrhage remains one of the most prevalent causes of strokes in the young causing a high socioeconomic damage. Both emergent and elective treatments of intracranial aneurysms remain essential challenges for neurovascular centers. We aim to present conceptual education on clip ligation of middle cerebral artery bifurcation aneurysms in an accessible and structured way to maximize the educational takeaway of residents from aneurysm cases.
Methods After 30 years of experience of the senior author in cerebrovascular surgery in three centers, we closely reviewed an exemplary case of elective right middle cerebral artery bifurcation aneurysm clipping and contrasted it to an alternative microneurosurgical approach to illustrate key principles of microneurosurgical clip ligation for neurosurgical trainees.
Results Dissection of the sylvian fissure, subfrontal approach to the optic-carotid complex, proximal control, aneurysm dissection, dissection of kissing branches, dissection of aneurysm fundus, temporary and permanent clipping, as well as aneurysm inspection and resection are highlighted as key steps of clip ligation. This proximal-to-distal approach is contrasted to the distal-to-proximal approach. Additionally, general principles of intracranial surgery such as use of retraction, arachnoid dissection, and draining of cerebrospinal fluid are addressed.
Conclusion Due to a constantly decreasing case load in the era of neurointerventionalism, the paradox of facing increased complexity with decreased experience must be met with a sophisticated practical and theoretical education of neurosurgical trainees early on and with a low threshold.