bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distance to public transit predicts spatial distribution of dengue virus incidence in Medellín, Colombia
Authors: Shragai Talya , Pérez-Pérez Juliana , del Pilar Quimbayo-Forero Marcela , Rojo Raúl , Harrington Laura C. , Rúa-Uribe Guillermo 
Published: May 2022

AbstractDengue is a growing global threat in some of the world’s most rapidly growing landscapes. Research shows that urbanization and human movement affect the spatial dynamics and magnitude of dengue outbreaks; however, precise effects of urban growth on dengue are not well understood because of a lack of sufficiently fine-scaled data. We analyzed nine years of address-level dengue case data in Medellin, Colombia during a period of public transit expansion. We correlate changes in the spread and magnitude of localized outbreaks to changes in accessibility and usage of public transit. Locations closer to and with a greater utilization of public transit had greater dengue incidence. This relationship was modulated by socioeconomic status; lower socioeconomic status locations experienced stronger effects of public transit accessibility and usage on dengue incidence. Public transit is a vital urban resource, particularly among low socioeconomic populations. These results highlight the importance of public health services concurrent with urban growth.
Kendall transformation brings a robust categorical representation of ordinal data
Authors: Kursa Miron Bartosz 
Published: May 2022

AbstractKendall transformation is a conversion of an ordered feature into a vector of pairwise order relations between individual values. This way, it preserves ranking of observations and represents it in a categorical form. Such transformation allows for generalisation of methods requiring strictly categorical input, especially in the limit of small number of observations, when quantisation becomes problematic. In particular, many approaches of information theory can be directly applied to Kendall-transformed continuous data without relying on differential entropy or any additional parameters. Moreover, by filtering information to this contained in ranking, Kendall transformation leads to a better robustness at a reasonable cost of dropping sophisticated interactions which are anyhow unlikely to be correctly estimated. In bivariate analysis, Kendall transformation can be related to popular non-parametric methods, showing the soundness of the approach. The paper also demonstrates its efficiency in multivariate problems, as well as provides an example analysis of a real-world data.
Quantifying local pH changes in carbonate electrolyte during copper-catalysed $$\hbox {CO}_2$$ electroreduction using in operando $$^{13}\hbox {C}$$ NMR
Authors: Schatz Michael , Jovanovic Sven , Eichel Rüdiger-A. , Granwehr Josef 
Published: May 2022

AbstractThe electrochemical carbon dioxide reduction on copper attracted considerable attention within the last decade, since Cu is the only elemental transition metal that catalyses the formation of short-chain hydrocarbons and alcohols. Research in this field is mainly focused on understanding the reaction mechanism in terms of adsorbates and intermediates. Furthermore, dynamic changes in the micro-environment of the catalyst, i.e. local pH and $$\hbox {CO}_2$$

CO
2

concentration values, play an equivalently important role in the selectivity of product formation. In this study, we present an in operando$$^{13}\hbox {C}$$

13

C

nuclear magnetic resonance technique that enables the simultaneous measurement of pH and $$\hbox {CO}_2$$

CO
2

concentration in electrode vicinity during electroreduction. The influence of applied potential and buffer capacity of the electrolyte on the formation of formate is demonstrated. Theoretical considerations are confirmed experimentally and the importance of the interplay between catalyst and electrolyte is emphasised.
Barcoding and species delimitation of Iranian freshwater crabs of the Potamidae family (Decapoda: Brachyura)
Authors: Rezaei Tavabe Kamran , Tavana Mina , Mirvaghefi Ali Reza , Jouladeh-Roudbar Arash , Rahimi Paniz , Doadrio Ignacio , Ghanavi Hamid Reza 
Published: May 2022

AbstractFreshwater ecosystems are under multiple threats in modern times such as water extraction for human consumption, industries and agricultural activities, water contamination and habitat destruction for example. At the same time the biodiversity of these ecosystems are often poorly studied, especially in arid countries such as Iran. In this work, we study one of the ecologically important members of Iranian freshwater fauna, freshwater crab species of the genus Potamon. Here, we barcoded the different populations occurring in the country and delimited the species to allow for a better understanding of their distribution and taxonomy. In this study, we evaluated the taxonomical statues of Potamon species in Iran using genetic data. In addition, we created the first barcoding reference for Iranian freshwater crabs, which is an important resource for future environmental and conservation studies.
An air quality index prediction model based on CNN-ILSTM
Authors: Wang Jingyang , Li Xiaolei , Jin Lukai , Li Jiazheng , Sun Qiuhong , Wang Haiyao 
Published: May 2022

AbstractAir quality index (AQI) is an essential measure of air pollution evaluation, which describes the air pollution degree and its impact on health, so the accurate prediction of AQI is significant. This paper presents an AQI prediction model based on Convolution Neural Networks (CNN) and Improved Long Short-Term Memory (ILSTM), named CNN-ILSTM. ILSTM deletes the output gate in LSTM and improves its input gate and forget gate, and introduces a Conversion Information Module (CIM) to prevent supersaturation in the learning process. ILSTM realizes efficient learning of historical data, improves prediction accuracy, and reduces the training time. CNN extracts the eigenvalues of input data effectively. This paper uses air quality data from 00:00 on January 1, 2017, to 23:00 on June 30, 2021, in Shijiazhuang City, Hebei Province, China, as experimental data sets, and compares this model with eight prediction models: SVR, RFR, MLP, LSTM, GRU, ILSTM, CNN-LSTM, and CNN-GRU to prove the validity and accuracy of CNN-ILSTM prediction model. The experimental results show the MAE of CNN-ILSTM is 8.4134, MSE is 202.1923, R2 is 0.9601, and the training time is 85.3 s. In this experiment, the performance of this model performs better than other models.
Preliminary study of reliability of transcutaneous sensors in measuring intraabdominal pressure
Authors: Kušar Maša , Djokić Mihajlo , Djordjević Srdjan , Hribernik Marija , Krašna Simon , Trotovšek Blaž 
Published: May 2022

AbstractEarly recognition of elevated intraabdominal pressure (IAP) in critically ill patients is essential, since it can result in abdominal compartment syndrome, which is a life-threatening condition. The measurement of intravesical pressure is currently considered the gold standard for IAP assessment. Alternative methods have been proposed, where IAP assessment is based on measuring abdominal wall tension, which reflects the pressure in the abdominal cavity. The aim of this study was to evaluate the feasibility of using patch-like transcutaneous sensors to estimate changes in IAP, which could facilitate the monitoring of IAP in clinical practice. This study was performed with 30 patients during early postoperative care. All patients still had an indwelling urinary catheter postoperatively. Four wearable sensors were attached to the outer surface of the abdominal region to detect the changes in abdominal wall tension. Additionally, surface EMG was used to monitor the activity of the abdominal muscles. The thickness of the subcutaneous tissue was measured with ultrasound. Patients performed 4 cycles of the Valsalva manoeuvre, with a resting period in between (the minimal resting period was 30 s, with a prolongation as necessary to ensure that the fluid level in the measuring system had equilibrated). The IAP was estimated with intravesical pressure measurements during all resting periods and all Valsalva manoeuvres, while the sensors continuously measured changes in abdominal wall tension. The association between the subcutaneous thickness and tension changes on the surface and the intraabdominal pressure was statistically significant, but a large part of the variability was explained by individual patient factors. As a consequence, the predictions of IAP using transcutaneous sensors were not biased, but they were quite variable. The specificity of detecting intraabdominal pressure of 20 mmHg and above is 88%, with an NPV of 96%, while its sensitivity and PPV are currently far lower. There are inherent limitations of the chosen preliminary study design that directly caused the low sensitivity of our method as well as the poor agreement with the gold standard method; in spite of that, we have shown that these sensors have the potential to be used to monitor intraabdominal pressure. We are planning a study that would more closely resemble the intended clinical use and expect it to show more consistent results with a far smaller error.
In vitro anti-tuberculosis effect of probiotic Lacticaseibacillus rhamnosus PMC203 isolated from vaginal microbiota
Authors: Rahim Md Abdur , Seo Hoonhee , Kim Sukyung , Tajdozian Hanieh , Barman Indrajeet , Lee Youngkyoung , Lee Saebim , Song Ho-Yeon 
Published: May 2022

AbstractMycobacterium tuberculosis (M. tb), the etiological agent of tuberculosis (TB), poses a severe challenge for public health and remains the number one cause of death as a single infectious agent. There are 10 million active cases of TB per year with 1.5 million deaths, and 2–3 billion people are estimated to harbor latent M. tb infection. Moreover, the emergence of multi-drug-resistant (MDR), extremely-drug-resistant (XDR), and the recent totally drug-resistant (TDR) M. tb is becoming a global issue that has fueled the need to find new drugs different from existing regimens. In these circumstances, probiotics can be a potential choice, so we focused on developing them as an anti-tuberculosis drug candidate. Here, we report the anti-tubercular activities of Lacticaseibacillus rhamnosus PMC203 isolated from the vaginal microbiota of healthy women. PMC203 exhibited a promising intracellular killing effect against both drug-sensitive and resistant M. tb infected murine macrophage cell line RAW 264.7 without showing any cytotoxicity. Additionally, it also inhibited the growth of M. tb under broth culture medium. PMC203 did not cause weight change or specific clinical symptoms in a 2-week repeated oral administration toxicity test in a guinea pig model. Here, we also found that PMC203 induces autophagy in a dose dependent manner by increasing the signal of well-known autophagy gene markers, suggesting a possible intracellular killing mechanism.
NMR-based metabolomic profiling can differentiate follicular lymphoma from benign lymph node tissues and may be predictive of outcome
Authors: Banoei Mohammad Mehdi , Mahé Etienne , Mansoor Adnan , Stewart Douglas , Winston Brent W. , Habibi Hamid R. , Shabani-Rad Meer-Taher 
Published: May 2022

AbstractFollicular lymphoma (FL) is a cancer of B-cells, representing the second most common type of non-Hodgkin lymphoma and typically diagnosed at advanced stage in older adults. In contrast to the wide range of available molecular genetic data, limited data relating the metabolomic features of follicular lymphoma are known. Metabolomics is a promising analytical approach employing metabolites (molecules < 1 kDa in size) as potential biomarkers in cancer research. In this pilot study, we performed proton nuclear magnetic resonance spectroscopy (1H-NMR) on 29 cases of FL and 11 control patient specimens. The resulting spectra were assessed by both unsupervised and supervised statistical methods. We report significantly discriminant metabolomic models of common metabolites distinguishing FL from control tissues. Within our FL case series, we also report discriminant metabolomic signatures predictive of progression-free survival.
Atmospheric rivers impacting western North America in a world with climate intervention
Authors: Shields Christine A. , Richter Jadwiga H. , Pendergrass Angeline , Tilmes Simone 
Published: May 2022

AbstractAtmospheric rivers (ARs) impacting western North America are analyzed under climate intervention applying stratospheric aerosol injections (SAI) using simulations produced by the Whole Atmosphere Community Climate Model. Sulfur dioxide injections are strategically placed to maintain present-day global, interhemispheric, and equator-to-pole surface temperatures between 2020 and 2100 using a high forcing climate scenario. Three science questions are addressed: (1) How will western North American ARs change by the end of the century with SAI applied, (2) How is this different from 2020 conditions, and (3) How will the results differ with no future climate intervention. Under SAI, ARs are projected to increase by the end of the 21st century for southern California and decrease in the Pacific Northwest and coastal British Columbia, following changes to the low-level wind. Compared to 2020 conditions, the increase in ARs is not significant. The character of AR precipitation changes under geoengineering results in fewer extreme rainfall events and more moderate ones.
Subpolar Atlantic Ocean mixed layer heat content variability is increasingly driven by an active ocean
Authors: Josey Simon A. , Sinha Bablu 
Published: May 2022

AbstractCold conditions in the upper layer of the subpolar North Atlantic Ocean, at a time of pervasive warming elsewhere, have provoked significant debate. Uncertainty arises both from potential causes (surface heat loss and ocean circulation changes) and characteristic timescales (interannual to multidecadal). Resolution of these uncertainties is important as cold conditions have been linked to recent European weather extremes and a decline in the Atlantic overturning circulation. Using observations, supported by high resolution climate model analysis, we show that a surprisingly active ocean regularly generates both cold and warm interannual anomalies in addition to those generated by surface heat exchange. Furthermore, we identify distinct sea surface temperature patterns that characterise whether the ocean or atmosphere has the strongest influence in a particular year. Applying these new insights to observations, we find an increasing role for the ocean in setting North Atlantic mixed layer heat content variability since 1960.
Use of Speech-to-Text Biofeedback in Intervention for Children With Articulation Disorders
Authors: Findley Brooke R. , Gasparyan Diana 
Published: May 2022

Purpose:
This study was conducted to explore the effectiveness of speech to text as a form of biofeedback intervention for speech sound production in children with articulation disorders.

Method:
A multiple-baseline across-participants design was used for this study. Speech-to-text biofeedback was implemented with three children aged 7–9 years who demonstrated consonantal articulation errors. Data regarding accuracy of target phoneme production were repeatedly collected across baseline, treatment, and probe phases.

Results:
Based on the preliminary data collected and analyzed during this study, results suggest that speech to text is an effective approach for addressing speech sound production. All three participants demonstrated improvement in the production of their target phonemes. In addition, all of the participants maintained their skills posttreatment.

Conclusions:
The results of this study provide initial support for the use of speech to text for children who demonstrate articulation disorders. Implications for future research and practice based on the results are discussed.
Perioperative Echokardiografie der rechts- und linksventrikulären Funktion
Authors: Koeppen Michael , Keller Marius 
Published: May 2022

ZusammenfassungDie Echokardiografie erlaubt eine präzise und minimalinvasive Charakterisierung der rechtsventrikulären (RV) und linksventrikulären (LV) Funktion chirurgischer Patientinnen und Patienten.
Eine korrekte Handhabung und ein fundiertes Verständnis der Messungen sind unabdingbar für eine valide echokardiografische Untersuchung. Im folgenden Beitrag werden die gängigsten, aber auch
einige neue Parameter der RV- und LV-Funktion vorgestellt.
Pulsatiler Tinnitus nach Covid-19 Erkankung
Authors: Donnerer Corinna , Taxer Bernhard 
Published: May 2022

ZusammenfassungNach einer Covid-19 Erkrankung vor einem Monat sind bei einem Patienten extreme Schmerzen im Kopf- und Nackenbereich sowie ein sehr störender, pulssynchroner (pulsatiler) Tinnitus (NRS 6–7/10) als Symptome geblieben. In der physiotherapeutischen Befundaufnahme wird klar, dass der Patient nicht physiotherapeutisch weiterbehandelt werden kann, sondern erst weiter von ärztlicher Seite abgeklärt werden muss. Nach dieser Abklärung und Freigabe zur Fortsetzung der Physiotherapie wird ein Behandlungsplan erarbeitet, der vor allem die Stressbewältigung des Patienten in den Mittelpunkt stellt. Gleichzeitig werden unterstützend manualtherapeutische Techniken an der Halswirbelsäule und der Kieferregion sowie Edukationsmaßnahmen eingesetzt. Durch die erfolgreiche Zusammenarbeit zwischen ärztlicher Abklärung, Physiotherapie und Psychotherapie sowie durch die gute Kommunikation mit dem Patienten kann dieser erfolgreich begleitet und eine deutliche Reduktion der Symptome erreicht werden.
Kosmetische Aspekte in der Shuntchirurgie
Authors: Krönung Gerhard 
Published: May 2022

ZUSAMMENFASSUNGShunts können für den Patienten kosmetisch belastend sein. Oft kann die Belastung gemindert, in einigen Fällen auch beseitigt werden. Ein vertrauensvoller Dialog zwischen den Patienten und beteiligten Ärzten ist genauso entscheidend wie solide shuntchirurgische Expertise.
Versorgungsqualität in der außerklinischen Beatmung
Authors: Klingshirn Hanna , Schwarz Sarah B. 
Published: May 2022

ZusammenfassungDie außerklinische Beatmung zeigt eine rasante Entwicklung in den letzten 20 Jahren. Die heute vorherrschende Positivdruckbeatmung kann hierbei entweder nicht-invasiv über Gesichtsmasken oder invasiv mittels endotrachealer Intubation oder Trachealkanüle erfolgen. Insbesondere die nicht-invasive Beatmung (noninvasive ventilation = NIV) hat in den letzten Jahren an Bedeutung gewonnen, da sich die positive Evidenz zu einer Vielzahl an Indikationen zur außerklinischen Beatmung zunehmend mehrt. Um bei der stetig steigenden Anzahl an Patient:innen eine hohe Behandlungsqualität zu gewährleisten, wurden spezifische Leitlinien für die unterschiedlichen Patient:innengruppen verfasst und regelmäßig aktualisiert. Hierbei werden die geeigneten Versorgungsstrukturen dieser teils multimorbiden Patient:innenkohorten stark diskutiert, da durch die rasante Entwicklung in der außerklinischen Beatmung Kapazitätsgrenzen der bestehenden Versorgungsstruktur erreicht werden. Diese Entwicklung zeigt, dass es einer kritischen Evaluation der bestehenden Versorgungsstrukturen bedarf, um auf deren Grundlagen und unter Berücksichtigung der nationalen Charakteristika des deutschen Gesundheitssystems eine patient:innenzentrierte, bedarfsgerechte und ressourcenschonende Versorgungsstruktur zu entwickeln.
Reversing anterior insular cortex neuronal hypoexcitability attenuates compulsive behavior in adolescent rats
Authors: Jadhav Kshitij S. , Bernheim Aurélien P. , Aeschlimann Léa , Kirschmann Guylène , Decosterd Isabelle , Hoffman Alexander F. , Lupica Carl R. , Boutrel Benjamin 
Published: May 2022

SignificanceClinical evidence suggests that adolescents engage in dangerous activities despite understanding the risks involved, questioning the theory of decreased top-down control of the immature prefrontal cortex promoting adolescent disinhibited behaviors. In the present study, we report that adolescent rats show a much higher degree of inflexible behavior when making decisions under conflict compared to adults. Unexpectedly, we identified a lower excitability of layer 5 pyramidal neurons in the anterior insular cortex (AIC) of adolescent rats and smaller synaptic glutamatergic inputs to these cells but no difference in layer 5 prefrontal cortex pyramidal neurons. Chemogenetic activation of AIC neurons reduced persistent reward-seeking despite punishment, suggesting that the delayed maturation of the insula may promote inflexible reward-related behaviors in adolescent rats.
Connection between water’s dynamical and structural properties: Insights from ab initio simulations
Authors: Herrero Cecilia , Pauletti Michela , Tocci Gabriele , Iannuzzi Marcella , Joly Laurent 
Published: May 2022

Significance
First-principles calculations, which explicitly account for the electronic structure of matter, can shed light on the molecular structure and dynamics of water in its supercooled state. In this work, we use density functional theory, which relies on a functional to describe electronic exchange and correlations, to evaluate which functional best describes the temperature evolution of bulk water transport coefficients. We also assess the validity of the Stokes–Einstein relation for all the functionals in the temperature range studied, and explore the link between structure and dynamics. Based on these results, we show how transport coefficients can be computed from structural descriptors, which require shorter simulation times to converge, and we point toward strategies to develop better functionals.
Approaching multi-band and broadband high absorption based on one-dimensional layered structures containing monolayer MoS2
Authors: Liu Yang , Wang Zhiyong , Zhou Benyuan , Ming Liu , Deng Lei , Yu Li , Cheng Long 
Published: May 2022

Abstract
MoS2 has attracted considerable attention owing to its unusual and intriguing potential applications in optoelectronic devices. In this study, the absorption properties of a simple one-dimensional (1D) layered structure composed of monolayer MoS2 are analyzed by transfer matrix method. The dielectric permittivity of monolayer MoS2 is employed using the Lorentz model. The influences contributed to the period of the structure and the incident angle are numerically investigated. Our results indicate that a tunable multi-band (broadband) absorber can be achieved by using such a 1D layered structure. A multi-band (broadband) absorption phenomenon can be obtained by increasing the period of the structure. Furthermore, the absorption peaks and broadband absorptance spectra have blue-shifted as the incident angle increases.