bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Open MRI Dataset For Multiscale Neuroscience
Authors: Royer Jessica , Rodríguez-Cruces Raúl , Tavakol Shahin , Larivière Sara , Herholz Peer , Li Qiongling , Vos de Wael Reinder , Paquola Casey , Benkarim Oualid , Park Bo-yong , Lowe Alexander J. , Margulies Daniel , Smallwood Jonathan , Bernasconi Andrea , Bernasconi Neda , Frauscher Birgit , Bernhardt Boris C. 
Published: September 2022

AbstractMultimodal neuroimaging grants a powerful window into the structure and function of the human brain at multiple scales. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends (also referred to as gradients) in brain microstructure and connectivity, offering an integrative framework to study multiscale brain organization. Here, we share a multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired in 50 healthy adults (23 women; 29.54 ± 5.62 years) who underwent high-resolution T1-weighted MRI, myelin-sensitive quantitative T1 relaxometry, diffusion-weighted MRI, and resting-state functional MRI at 3 Tesla. In addition to raw anonymized MRI data, this release includes brain-wide connectomes derived from (i) resting-state functional imaging, (ii) diffusion tractography, (iii) microstructure covariance analysis, and (iv) geodesic cortical distance, gathered across multiple parcellation scales. Alongside, we share large-scale gradients estimated from each modality and parcellation scale. Our dataset will facilitate future research examining the coupling between brain microstructure, connectivity, and function. MICA-MICs is available on the Canadian Open Neuroscience Platform data portal (https://portal.conp.ca) and the Open Science Framework (https://osf.io/j532r/).
SARS-CoV-2 pneumonia and bacterial pneumonia patients differ in a second hit immune response model
Authors: Moser Dominique , Feuerecker Matthias , Biere Katharina , Han Bing , Hoerl Marion , Schelling Gustav , Kaufmann Ines , Choukér Alexander , Woehrle Tobias 
Published: September 2022

AbstractSecondary infections have been shown to complicate the clinical course and worsen the outcome of critically ill patients. Severe Coronavirus Disease 2019 (COVID-19) may be accompanied by a pronounced cytokine release, and immune competence of these patients towards most pathogenic antigens remains uncompromised early in the disease. Patients with bacterial sepsis also exhibit excessive cytokine release with systemic hyper-inflammation, however, typically followed by an anti-inflammatory phase, causing immune paralysis. In a second hit immune response model, leukocyte activation capacity of severely ill patients with pneumonia caused by SARS-CoV-2 or by bacteria were compared upon ICU admission and at days 4 and 7 of the ICU stay. Blood cell count and release of the pro-inflammatory cytokines IL-2, IFNγ and TNF were assessed after whole-blood incubation with the potent immune stimulus pokeweed mitogen (PWM). For comparison, patients with bacterial sepsis not originating from pneumonia, and healthy volunteers were included. Lymphopenia and granulocytosis were less pronounced in COVID-19 patients compared to bacterial sepsis patients. After PWM stimulation, COVID-19 patients showed a reduced release of IFNγ, while IL-2 levels were found similar and TNF levels were increased compared to healthy controls. Interestingly, concentrations of all three cytokines were significantly higher in samples from COVID-19 patients compared to samples from patients with bacterial infection. This fundamental difference in immune competence during a second hit between COVID-19 and sepsis patients may have implications for the selection of immune suppressive or enhancing therapies in personalized medicine.
Dust mitigation by the application of treated sewage effluent (TSE) in Iran
Authors: Naeimi Maryam , Eftekhari Alireza , Khalifehzadeh Rostam , Dargahian Fatemeh , Zandifar Samira 
Published: September 2022

AbstractConsidering the presence of 274 dusty days in 2021 in Zabol city, Iran, the present study aimed to evaluate the feasibility of using treated sewage effluent (TSE) for dust mitigation with natural methods of increasing land cover. Hence, first of all, the identification of sewage treatment facilities along with the volume and chemical status was carried out and compared to the various national and international legislation. Then, field investigation on land use and land cover, along with literature review on dust origins, sand detachment areas, and sand corridors in the study area will be assisted for optimal area suggestion. Note that, in the present study it was assumed that the application of TSE for wetting the surface to vegetation restoration resulted in wind erosion control in critical foci. The results showed that, so far, a total of 39,000 m3/day could be treated, in the whole study area. The TSE volume calculated based on two scenarios consisting, (1) data obtained from the related organization, and (2) based the capacity of the wastewater plant is 2.8 and 5.1 mcm/year, respectively. Additionally, the study of TSE quality and its comparison to various regulation such as FAO, USEPA, INS, and CWQI indicated the applicability of transforming TSE to 14 km away from the WWT planet daily for rehabilitation of Hammon Hirmand through irrigation ofT.strictato increase the vegetation cover to above 30%.
Adsorption of Indigo Carmine Dye by Acacia nilotica sawdust activated carbon in fixed bed column
Authors: Gupta Tripti , Ansari Khalid , Lataye Dilip , Kadu Mahendra , Khan Mohammad Amir , Mubarak Nabisab Mujawar , Garg Rishav , Karri Rama Rao 
Published: September 2022

AbstractA continuous mode fixed-bed up-flow column adsorption analysis was conducted utilizing Acacia nilotica sawdust activated carbon (ASAC) as an adsorbent for the adsorption treatment of toxic Indigo Carmine Dye (ICD). The effect on the adsorption characteristics of ASAC of the influent ICD concentration, flow rate, and column bed depth has been investigated. According to the column study, the highest efficiency of ICD removal was approximately 79.01% at a preliminary concentration of 100 mg/L with a flow rate of 250 mL/h at a bed depth of 30 cm and adsorption power of 24.67 mg/g. The experimental work confirmed the dependency of break-through curves on dye concentration and flow rate for a given bed depth. Kinetic models were implemented by Thomas, Yoon–Nelson, and Bed-depth-service-time analysis along with error analysis to interpret experimental data for bed depth of 15 cm and 30 cm, ICD concentration of 100 mg/L and 200 mg/L and flow rate of 250 mL/h, and 500 mL/h. The analysis predicted the breakthrough curves using a regression basin. It indicated that all three models were comparable for the entire break-through curve depiction. The characteristic parameters determined by process design and error analysis revealed that the Thomas model was better followed by the BDST and Yoon–Nelson models in relating the procedure of ICD adsorption onto ASAC. B-E-T surface area and B-E-T pore volume of ASAC were 737.76 m2/g and 0.2583 cm3/g, respectively. S-E-M and X-R-D analysis reveal the micro-porous and amorphous nature of ASAC. F-T-I-R spectroscope indicate distinctive functional assemblies like -OH group, C–H bond, C–C bond, C–OH, and C–O groups on ASAC. It could be computed that the ASAC can be used efficiently as an alternative option for industrial wastewater treatment
Development of a numerical modelling method to predict the seismic signals generated by wind farms
Authors: Limberger Fabian , Rümpker Georg , Lindenfeld Michael , Deckert Hagen 
Published: September 2022

AbstractIn efforts to reduce greenhouse gas emissions, renewable energies have been increasingly leveraged to generate power; in particular, the number of wind turbines has risen sharply in recent years and continues to grow. However, being mechanically coupled to the earth, wind turbines also generate ground vibrations, which can have adverse effects on the capability of seismic observatories to detect and analyse earthquakes; nevertheless, the distances at which these signals modulate seismic records are disputed between the operators of wind farms and seismic observatories. Here, to quantify the noise signal amplitudes at distant seismometers, we develop the first numerical model to predict the seismic wavefield emitted by wind farms and simulate the complex effects of wavefield interferences, surface topography and attenuation. This modelling approach can reliably quantify the influences of multiple wind turbines on ground motion recordings and thus provide necessary information to aid decision-making in advance of wind farm installation.
Reports of acute adverse events in mRNA COVID-19 vaccine recipients after the first and second doses in Japan
Authors: Akaishi Tetsuya , Onodera Tamotsu , Takahashi Tatsuya , Harigae Hideo , Ishii Tadashi 
Published: September 2022

AbstractMass vaccination against coronavirus disease 2019 (COVID-19) is ongoing in many countries worldwide. This study reports the occurrence of acute adverse events among vaccine recipients at a mass vaccination center in Japan. Between August and November 2021, approximately 130,000 individuals received two mRNA vaccine doses (mRNA-1273; Moderna) at the vaccination center. Acute adverse events at the site were observed in 1.1% of the recipients after the first dose and in 0.4% of the recipients after the second dose. The most common event was vasovagal syncope/presyncope, followed by acute allergic reactions. The occurrence rate of vasovagal syncope/presyncope was highest in the young population of those aged 16–29 years, but such age-dependency was not apparent in acute allergic reactions. Both symptoms were more prevalent in women than in men. Vasovagal syncope/presyncope occurred mainly within 20 min of the injection, whereas nearly half of the episodes of acute allergic reactions occurred after 20 min. The vaccine being injected while the recipient was in the supine position effectively reduced the occurrence of vasovagal syncope/presyncope. In summary, the suggested risk factors for vasovagal syncope/presyncope included a young age and female sex. The vaccine being injected while the recipient was in the supine position would reduce the risk of vasovagal syncope/presyncope.
Thermomechanical characterization of bioplastic films produced using a combination of polylactic acid and bionano calcium carbonate
Authors: Gbadeyan O. J. , Linganiso L. Z. , Deenadayalu N. 
Published: September 2022

AbstractThe present study focuses on the thermomechanical investigation of bioplastic firms produced from a combination of polylactic acid (PLA) and nano-calcium carbonated (nano-CaCO3) synthesized from the Achatina Fulica snail shell. The bioplastic films fabricated with nano-CaCO3 content ranging from 1 to 5 wt% were prepared using a solvent casting method. Thermal stability and degradation with temperature-dependent mechanical properties such as stiffness, storage modulus, and loss modulus of the developed bioplastic films were determined. The conformation changes in the functional group of the developed bioplastic films after incorporating nano-CaCO3 were also investigated. It was observed that incorporating nano-CaCO3 improved the thermal stability and temperature-dependent mechanical properties of neat PLA, regardless of the percentage weight added. An 85.67% improvement in thermal stability was observed. The temperature-dependent stiffness increased by 84%, whereas the storage modulus improved by 240%. On the other hand, loss modulus improved by 50% due to nano-CaCO3 incorporation into PLA. The FTIR curves of bioplastic films incorporated with nano-CaCO3 present insignificant conformation changes in the functional group of the resulting bioplastic films. This is presumable due to the compatibility of the matrix and the reinforcement. As a result, the resulting materials' thermal and temperature-dependent mechanical properties improved significantly, demonstrating that the developed bioplastic films could be used for package applications.
Positive feedback mechanism between biogenic volatile organic compounds and the methane lifetime in future climates
Authors: Boy Michael , Zhou Putian , Kurtén Theo , Chen Dean , Xavier Carlton , Clusius Petri , Roldin Pontus , Baykara Metin , Pichelstorfer Lukas , Foreback Benjamin , Bäck Jaana , Petäjä Tuukka , Makkonen Risto , Kerminen Veli-Matti , Pihlatie Mari , Aalto Juho , Kulmala Markku 
Published: September 2022

AbstractA multitude of biogeochemical feedback mechanisms govern the climate sensitivity of Earth in response to radiation balance perturbations. One feedback mechanism, which remained missing from most current Earth System Models applied to predict future climate change in IPCC AR6, is the impact of higher temperatures on the emissions of biogenic volatile organic compounds (BVOCs), and their subsequent effects on the hydroxyl radical (OH) concentrations. OH, in turn, is the main sink term for many gaseous compounds including methane, which is the second most important human-influenced greenhouse gas in terms of climate forcing. In this study, we investigate the impact of this feedback mechanism by applying two models, a one-dimensional chemistry-transport model, and a global chemistry-transport model. The results indicate that in a 6 K temperature increase scenario, the BVOC-OH-CH4feedback increases the lifetime of methane by 11.4% locally over the boreal region when the temperature rise only affects chemical reaction rates, and not both, chemistry and BVOC emissions. This would lead to a local increase in radiative forcing through methane (ΔRFCH4) of approximately 0.013 Wm−2per year, which is 2.1% of the current ΔRFCH4. In the whole Northern hemisphere, we predict an increase in the concentration of methane by 0.024% per year comparing simulations with temperature increase only in the chemistry or temperature increase in chemistry and BVOC emissions. This equals approximately 7% of the annual growth rate of methane during the years 2008–2017 (6.6 ± 0.3 ppb yr−1) and leads to an ΔRFCH4of 1.9 mWm−2per year.
Structural and mutational analysis of MazE6-operator DNA complex provide insights into autoregulation of toxin-antitoxin systems
Authors: Kumari Khushboo , Sarma Siddhartha P. 
Published: September 2022

AbstractOf the 10 paralogs of MazEF Toxin-Antitoxin system in Mycobacterium tuberculosis, MazEF6 plays an important role in multidrug tolerance, virulence, stress adaptation and Non Replicative Persistant (NRP) state establishment. The solution structures of the DNA binding domain of MazE6 and of its complex with the cognate operator DNA show that transcriptional regulation occurs by binding of MazE6 to an 18 bp operator sequence bearing the TANNNT motif (-10 region). Kinetics and thermodynamics of association, as determined by NMR and ITC, indicate that the nMazE6-DNA complex is of high affinity. Residues in N-terminal region of MazE6 that are key for its homodimerization, DNA binding specificity, and the base pairs in the operator DNA essential for the protein-DNA interaction, have been identified. It provides a basis for design of chemotherapeutic agents that will act via disruption of TA autoregulation, leading to cell death.
Clinical Practice Patterns in Childhood Apraxia of Speech and Augmentative and Alternative Communication: Implications for Speech-Language Pathology Education
Authors: Hayes Sydney , Riccardi Jessica Salley , Lewis Barbara 
Published: September 2022

Purpose:
The purpose of this study was to describe speech-language pathologists' (SLPs') clinical practice patterns related to childhood apraxia of speech (CAS) and augmentative and alternative communication (AAC).

Method:
A survey study was conducted with a total of 52 SLPs. Survey questions were related to SLPs' education, clinical experiences, and perceptions of CAS and AAC and implementation of AAC.

Results:

Most SLPs reported having had a dedicated AAC class during graduate school and are regularly pursuing continuing education in both CAS and AAC. SLPs reported varied clinical experiences, perceptions, and implementation of AAC in clients with CAS, with 86.54% reporting recommending AAC at some point to a client with CAS. The percentage of clients with CAS who were recommended AAC was significantly less for clinicians who pursued less continuing education in CAS (
p
= .023). SLPs were significantly more likely to report comfort with AAC if they pursued continuing education in AAC (
p
= .025) or had an AAC class in graduate school (
p
= .007).

Conclusions:
SLPs' educational and clinical experience influence their clinical practice patterns related to clients with CAS and implementation of AAC. Based on the needs and skills of clients with CAS, graduate clinical education and continuing education courses regarding treatment of CAS should include information on AAC, particularly in the context of supporting receptive and expressive language skills, alongside speech development.
Resolution independent person re‐identification network
Authors: Zhang Li , Xu Yunjie , Zhao Liaoying , Qin Feiwei 
Published: September 2022

AbstractDoes a query image with much higher resolution than that of the gallery image also affect the pedestrian re‐identification performance? If so, and how does it affect performance? The study proposes a novel framework for performing high‐resolution image reconstruction and pedestrian re‐identification tasks, independent of the query image resolution. More precisely, an end‐to‐end trainable Resolution Independent person Re‐identification network is proposed. It is composed of our designed Cross‐Resolution GAN and Embedding Batch Normalisation layers. The model is then compared with the traditional low‐resolution pedestrian recognition algorithm and the hybrid method of high‐resolution reconstruction and pedestrian re‐identification. The results demonstrate that the proposed method outperforms the state‐of‐the‐art methods in the pedestrian re‐identification task based on our expanded benchmark dataset. It also reaches an equivalent performance to the existing methods in the high‐resolution image reconstruction task.
Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring
Authors: Al‐Hashimi Muhaned , Mohammed Jameel Shymaa , Husham Almukhtar Firas , Abdul Zahra Musaddak Maher , Adnan Jaleel Refed 
Published: September 2022

AbstractEverything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs, increasing efficiency, accurate analysis of data and better care for patient. Meta‐heuristic algorithms are now effective modelling and optimisation tools. The proposed framework offers hybrid meta‐heuristic and mining algorithms to solve the optimisation and analysis issues. Grey Wolf Optimisation (GWO) applies a spiral‐shaped path to assure diversity and convergence. To encourage convergence, the Genetic Algorithm (GA) is introduced. Also, we applied a support vector machine and Naïve Bayes for extracting and analysing important information for heart collected from sensors. The goals are to build Electronic Healthcare (E‐Health), which includes establishing a link between patients and health providers to monitor, diagnose and save useful information. It is the foundation for accomplishing efficient and robust monitoring. The results offer that the IoTs framework is optimised and enhanced using the hybrid algorithm, which outperforms the GWO and GA, and the mining algorithms are more accurate with a hybrid algorithm than used mining with only GWO or GA.
Impact of the COVID-19 Pandemic Regulations on the Health Status and
Medical Care of Children with Trisomy 21
Authors: Niemann Annika , Boudriot Anett , Brett Birgit , Fritzsch Christiane , Götz Dorit , Haase Roland , Höhne Sibylle , Jorch Gerhard , Köhn Andrea , Lux Anke , Zenker Martin , Rissmann Anke 
Published: September 2022

Abstract
Background While children are considered at low risk for COVID-19, little
is known about the impact of SARS-CoV-2 on paediatric risk patients like
children with Trisomy 21 (T21). As these children often need regular therapy and
various medical appointments, this study aimed to investigate the possible
impact of the COVID-19 pandemic on children with T21.
Patients and Methods Parents of children with T21 in the age of
0–12 years in Saxony-Anhalt were interviewed via phone in June 2021
regarding the health status and medical care of their children during the past
15 months of pandemic.
Results 37 children with mean age of 6.1 years (min 0; max 12) were
included in the study. The majority did not have any additional congenital
anomalies. Surveyed parents hardly reported adverse changes of health status
during the pandemic, but rather improvements, such as decreased number of
respiratory infections and more time spend with their children. Outpatient
appointments and therapy were cancelled or postponed at the onset of the
pandemic, but parents reported low impact on their child’s health and
development. The main concern seemed to be lack of childcare during school and
day-care closures and uncertainty concerning possible health impacts of an
infection on their children.
Conclusion There was low impact of the COVID-19 pandemic on health and
medical care of children with T21 in our study population. Further research is
needed to help weigh the child’s individual risk of infection against
the need for medical treatment and therapy when dealing with paediatric risk
patients.
Noise and Critical Sound Levels During Non-Invasive Ventilation of a
Preterm Infant in the Incubator
Authors: Kaiser Elisabeth , Stutz Regine , Goedicke-Fritz Sybelle , Bous Michelle , Zemlin Michael , Adams Christian 
Published: September 2022

Abstract
Background Preterm birth and the subsequent necessary treatment in
neonatal intensive care units (NICU) subjects the preterm infant to
non-physiological noise exposure with potentially adverse consequences for
short- and long-term development. Adjusters to improve the acoustic environment
for the preterm infant need to be defined.
Methods Sound pressure level measurements during routine procedures in a
NICU were performed by ¼” microphones placed inside and outside
the incubator. The microphones need to be suitably positioned to measure sound
pressure levels that are representative for the sound field inside and outside
the incubator. The sound pressure level spectra generated by respiratory support
and corresponding monitor alarms were compared.
Results Inside the incubator, higher sound level pressures (in dBA) were
generated primarily by the use of the system components of the incubator itself
than outside, whereas when the incubator was closed, it had an insulating effect
on sounds generated in the NICU. Non-invasive ventilation resulted in an
increase in sound pressure levels from 50 to 60 dBA in the neonate’s
environment, with sound pressure levels increasing particularly in the frequency
range above 1 kHz.
Conclusion Preterm infants are exposed to high sound levels, especially in
the non-physiological high-frequency range, particularly during non-invasive
ventilation. The continuous sound exposure could be further reduced to some
extent by an optimized design of the incubator.