bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of a physiologically based pharmacokinetic model in predicting captopril disposition in children with chronic kidney disease
Authors: Khalid Sundus , Rasool Muhammad Fawad , Masood Imran , Imran Imran , Saeed Hamid , Ahmad Tanveer , Alqahtani Nawaf Shalih , Alshammari Fahad Ali , Alqahtani Faleh 
Published: February 2023

AbstractOver the last several decades, angiotensin-converting enzyme inhibitors (ACEIs) have been a staple in the treatment of hypertension and renovascular disorders in children. One of the ACEIs, captopril, is projected to have all the benefits of traditional vasodilators. However, conducting clinical trials for determining the pharmacokinetics (PK) of a drug is challenging, particularly in pediatrics. As a result, modeling and simulation methods have been developed to identify the safe and effective dosages of drugs. The physiologically based pharmacokinetic (PBPK) modeling is a well-established method that permits extrapolation from adult to juvenile populations. By using SIMCYP simulator, as a modeling platform, a previously developed PBPK drug-disease model of captopril was scaled to renally impaired pediatrics population for predicting captopril PK. The visual predictive checks, predicted/observed ratios (ratiopred/obs), and the average fold error of PK parameters were used for model evaluation. The model predictions were comparable with the reported PK data of captopril in mild and severe chronic kidney disease (CKD) patients, as the mean ratiopred/obs Cmax and AUC0−t were 1.44 (95% CI 1.07 − 1.80) and 1.26 (95% CI 0.93 − 1.59), respectively. The successfully developed captopril-CKD pediatric model can be used in suggesting drug dosing in children diagnosed with different stages of CKD.
Exploring user experience and performance of a tedious task through human–agent relationship
Authors: Zhou Chao , Bian Yulong , Zhang Shu , Zhang Ziyang , Wang Yaoyuan , Liu Yong-Jin 
Published: February 2023

AbstractPositive human–agent relationships can effectively improve human experience and performance in human–machine systems or environments. The characteristics of agents that enhance this relationship have garnered attention in human–agent or human–robot interactions. In this study, based on the rule of the persona effect, we study the effect of an agent’s social cues on human–agent relationships and human performance. We constructed a tedious task in an immersive virtual environment, designing virtual partners with varying levels of human likeness and responsiveness. Human likeness encompassed appearance, sound, and behavior, while responsiveness referred to the way agents responded to humans. Based on the constructed environment, we present two studies to explore the effects of an agent’s human likeness and responsiveness to agents on participants’ performance and perception of human–agent relationships during the task. The results indicate that when participants work with an agent, its responsiveness attracts attention and induces positive feelings. Agents with responsiveness and appropriate social response strategies have a significant positive effect on human–agent relationships. These results shed some light on how to design virtual agents to improve user experience and performance in human–agent interactions.
Predicting monthly hospital outpatient visits based on meteorological environmental factors using the ARIMA model
Authors: Bai Lu , Lu Ke , Dong Yongfei , Wang Xichao , Gong Yaqin , Xia Yunyu , Wang Xiaochun , Chen Lin , Yan Shanjun , Tang Zaixiang , Li Chong 
Published: February 2023

AbstractAccurate forecasting of hospital outpatient visits is beneficial to the rational planning and allocation of medical resources to meet medical needs. Several studies have suggested that outpatient visits are related to meteorological environmental factors. We aimed to use the autoregressive integrated moving average (ARIMA) model to analyze the relationship between meteorological environmental factors and outpatient visits. Also, outpatient visits can be forecast for the future period. Monthly outpatient visits and meteorological environmental factors were collected from January 2015 to July 2021. An ARIMAX model was constructed by incorporating meteorological environmental factors as covariates to the ARIMA model, by evaluating the stationary $${R}^{2}$$

R

2

, coefficient of determination $${R}^{2}$$

R

2

, mean absolute percentage error (MAPE), and normalized Bayesian information criterion (BIC). The ARIMA $${(0, 1, 1) (0, 1, 0)}_{12}$$

(
0
,
1
,
1
)
(
0
,
1
,
0
)

12

model with the covariates of $$\text{SO}_{2}$$

SO
2

, $${PM}_{2.5}$$

PM

2.5

, and $$\text{CO}$$
CO
was the optimal model. Monthly outpatient visits in 2019 can be predicted using average data from past years. The relative error between the predicted and actual values for 2019 was 2.77%. Our study suggests that $$\text{SO}_{2}$$

SO
2

, $${PM}_{2.5}$$

PM

2.5

, and $$\text{CO}$$
CO
concentration have a significant impact on outpatient visits. The model built has excellent predictive performance and can provide some references for the scientific management of hospitals to allocate staff and resources.
Structural equation modeling of direct and indirect associations of social media addiction with eating behavior in adolescents and young adults
Authors: Mohsenpour Mohammad Ali , Karamizadeh Malihe , Barati-Boldaji Reza , Ferns Gordon A. , Akbarzadeh Marzieh 
Published: February 2023

AbstractSocial media (SM) exerts important effects on health-related behaviors such as eating behaviors (EB). The present study was designed to determine the direct and indirect association of SM addiction with EB in adolescents and young adults through body image (BI). In this cross-sectional study, 12–22 years old adolescents and young adults, with no history of mental disorders or psychiatric medications usage were studied through an online questionnaire shared via SM platforms. Data were gathered about SM addiction, BI, and EB in its sub-scales. A single approach and multi-group path analyses were performed to find possible direct and indirect associations of SM addiction with EB through BI concerns. Overall, 970 subjects, 55.8% boys, were included in the analysis. Both multi-group (β = 0.484, SE = 0.025, P < 0.001) and fully-adjusted (β = 0.460, SE = 0.026, P < 0.001) path analyses showed higher SM addiction is related to disordered BI. Furthermore, the multi-group analysis showed one unit increment in SM addiction score was associated with 0.170 units higher scores for emotional eating (SE = 0.032, P < 0.001), 0.237 for external stimuli (SE = 0.032, P < 0.001), and 0.122 for restrained eating (SE = 0.031, P < 0.001). The present study revealed that SM addiction is associated with EB both directly and also indirectly through deteriorating BI in adolescents and young adults.
Efficient and accurate KRAS genotyping using digital PCR combined with melting curve analysis for ctDNA from pancreatic cancer patients
Authors: Tanaka Junko , Nakagawa Tatsuo , Harada Kunio , Morizane Chigusa , Tanaka Hidenori , Shiba Satoshi , Ohba Akihiro , Hijioka Susumu , Takai Erina , Yachida Shinichi , Kamura Yoshio , Ishida Takeshi , Yokoi Takahide , Uematsu Chihiro 
Published: February 2023

AbstractA highly sensitive and highly multiplexed quantification technique for nucleic acids is necessary to predict and evaluate cancer treatment by liquid biopsy. Digital PCR (dPCR) is a highly sensitive quantification technique, but conventional dPCR discriminates multiple targets by the color of the fluorescent dye of the probe, which limits multiplexing beyond the number of colors of fluorescent dyes. We previously developed a highly multiplexed dPCR technique combined with melting curve analysis. Herein, we improved the detection efficiency and accuracy of multiplexed dPCR with melting curve analysis to detectKRASmutations in circulating tumor DNA (ctDNA) prepared from clinical samples. The mutation detection efficiency was increased from 25.9% of the input DNA to 45.2% by shortening the amplicon size. The limit of detection of mutation was improved from 0.41 to 0.06% by changing the mutation type determination algorithm for G12A, resulting in a limit of detection of less than 0.2% for all the target mutations. Then, ctDNA in plasma from pancreatic cancer patients was measured and genotyped. The measured mutation frequencies correlated well with those measured by conventional dPCR, which can measure only the total frequency ofKRASmutants.KRASmutations were detected in 82.3% of patients with liver or lung metastasis, which was consistent with other reports. Accordingly, this study demonstrated the clinical utility of multiplex dPCR with melting curve analysis to detect and genotype ctDNA from plasma with sufficient sensitivity.
A novel transgenic mouse model expressing primate-specific nuclear choline acetyltransferase: insights into potential cholinergic vulnerability
Authors: AlQot H. E. , Rylett R. J. 
Published: February 2023

AbstractThe acetylcholine (ACh) synthesizing enzyme choline acetyltransferase (ChAT) is an important cholinergic neuronal marker whose levels and/or activity are reduced in physiological and pathological aging. One isoform of ChAT, 82-kDa ChAT, is expressed only in primates and found primarily in nuclei of cholinergic neurons in younger individuals, but this protein becomes mostly cytoplasmic with increasing age and in Alzheimer’s disease (AD). Previous studies suggest that 82-kDa ChAT may be involved in regulating gene expression during cellular stress. Since it is not expressed in rodents, we developed a transgenic mouse model that expresses human 82-kDa ChAT under the control of an Nkx2.1 driver. Behavioral and biochemical assays were used to phenotype this novel transgenic model and elucidate the impact of 82-kDa ChAT expression. The 82-kDa ChAT transcript and protein were expressed predominantly in basal forebrain neurons and subcellular distribution of the protein recapitulated the age-related pattern found previously in human necropsy brains. Older 82-kDa ChAT-expressing mice presented with better age-related memory and inflammatory profiles. In summary, we established a novel transgenic mouse expressing 82-kDa ChAT that is valuable for studying the role of this primate-specific cholinergic enzyme in pathologies associated with cholinergic neuron vulnerability and dysfunction.
The influence of the Asian summer monsoon on volcanic aerosol transport in the UTLS region
Authors: Wu Xue , Qiao Qi , Chen Bing , Wang Xin , Hoffmann Lars , Griessbach Sabine , Tian Yufang , Wang Yinan 
Published: February 2023

AbstractThis study analyses the influence of the Asian summer monsoon on volcanic aerosol transport. Realistic, altitude-resolved SO2emissions of a middle-latitude volcanic eruption (Sarychev 2009) and a tropical volcanic eruption (Nabro 2011) were retrieved and used to initialize the simulations of the long-range transport and dispersion of the sulfate aerosol plumes. The barrier effect of the Asian summer monsoon anticyclone (ASMA) isolated the Sarychev eruption plume outside of the ASMA but constrained the Nabro eruption plume inside of the ASMA, which is most evident in the UTLS region between isotropic surfaces of 360–420 K. Meanwhile, the ASMA could transport a fraction of the plume outside of ASMA quasi-horizontally to the tropical tropopause layer along the southeastern periphery of the anticyclonic circulation, and lift the volcanic plume inside the ASMA anticyclonically across the tropopause with an ascent rate of approximately 0.8 K/day. By enhancing the meridional transport in the UTLS region and lifting volcanic aerosols across the tropopause, the ASMA significantly expanded the potential effects of volcanic eruptions.
An ankylosaur larynx provides insights for bird-like vocalization in non-avian dinosaurs
Authors: Yoshida Junki , Kobayashi Yoshitsugu , Norell Mark A. 
Published: February 2023

AbstractA voice box (larynx) is unique for tetrapods and plays functional roles in respiration, airway protection, and vocalization. However, in birds and other reptiles, the larynx fossil is extremely rare, and the evolution of this structure remains largely unknown. Here we report the fossil larynx found in non-avian dinosaurs from ankylosaur Pinacosaurus grangeri. The larynx of Pinacosaurus is composed of the cricoid and arytenoid like non-avian reptiles, but specialized with the firm and kinetic cricoid-arytenoid joint, prominent arytenoid process, long arytenoid, and enlarged cricoid, as a possible vocal modifier like birds rather than vocal source like non-avian reptiles. Although bird-unique vocal source (syrinx) have never been reported in non-avian dinosaurs, Pinacosaurus could have employed bird-like vocalization with the bird-like large, kinetic larynx. This oldest laryngeal fossil from the Cretaceous dinosaur provides the first step for understanding the vocal evolution in non-avian dinosaurs toward birds.
Two odorant receptors regulate 1-octen-3-ol induced oviposition behavior in the oriental fruit fly
Authors: Xu Li , Jiang Hong-Bo , Yu Jie-Ling , Pan Deng , Tao Yong , Lei Quan , Chen Yang , Liu Zhao , Wang Jin-Jun 
Published: February 2023

AbstractThe oriental fruit fly Bactrocera dorsalis (Hendel) is a notorious pest of fruit crops. Gravid females locate suitable oviposition sites by detecting host plant volatiles. Here, we demonstrate that 1-octen-3-ol, a volatile from mango, guides the oviposition behavior of female flies. Two odorant receptors (BdorOR7a-6 and BdorOR13a) are identified as key receptors for 1-octen-3-ol perception by qPCR analysis, heterologous expression in Xenopus laevis oocytes and HEK 293 cells followed by in vitro binding assays, as well as CRISPR/Cas9 genome editing in B. dorsalis. Molecular docking and site-directed mutagenesis are used to determine major binding sites for 1-octen-3-ol. Our results demonstrate the potential of 1-octen-3-ol to attract gravid females and molecular mechanism of its perception in B. dorsalis. BdorOR7a-6 and BdorOR13a can therefore be used as molecular targets for the development of female attractants. Furthermore, our site-directed mutagenesis data will facilitate the chemical engineering of 1-octen-3-ol to generate more efficient attractants.
A non-canonical sensing pathway mediates Plasmodium adaptation to amino acid deficiency
Authors: Marreiros Inês M. , Marques Sofia , Parreira Ana , Mastrodomenico Vincent , Mounce Bryan C. , Harris Chantal T. , Kafsack Björn F. , Billker Oliver , Zuzarte-Luís Vanessa , Mota Maria M. 
Published: February 2023

AbstractEukaryotes have canonical pathways for responding to amino acid (AA) availability. Under AA-limiting conditions, the TOR complex is repressed, whereas the sensor kinase GCN2 is activated. While these pathways have been highly conserved throughout evolution, malaria parasites are a rare exception. Despite auxotrophic for most AA, Plasmodium does not have either a TOR complex nor the GCN2-downstream transcription factors. While Ile starvation has been shown to trigger eIF2α phosphorylation and a hibernation-like response, the overall mechanisms mediating detection and response to AA fluctuation in the absence of such pathways has remained elusive. Here we show that Plasmodium parasites rely on an efficient sensing pathway to respond to AA fluctuations. A phenotypic screen of kinase knockout mutant parasites identified nek4, eIK1 and eIK2—the last two clustering with the eukaryotic eIF2α kinases—as critical for Plasmodium to sense and respond to distinct AA-limiting conditions. Such AA-sensing pathway is temporally regulated at distinct life cycle stages, allowing parasites to actively fine-tune replication and development in response to AA availability. Collectively, our data disclose a set of heterogeneous responses to AA depletion in malaria parasites, mediated by a complex mechanism that is critical for modulating parasite growth and survival.
Probing the composition dependence of residual stress distribution in tungsten-titanium nanocrystalline thin films
Authors: Sinojiya Rahulkumar Jagdishbhai , Paulachan Priya , Chamasemani Fereshteh Falah , Bodlos Rishi , Hammer René , Zálešák Jakub , Reisinger Michael , Scheiber Daniel , Keckes Jozef , Romaner Lorenz , Brunner Roland 
Published: February 2023

AbstractNanocrystalline alloy thin films offer a variety of attractive properties, such as high hardness, strength and wear resistance. A disadvantage is the large residual stresses that result from their fabrication by deposition, and subsequent susceptibility to defects. Here, we use experimental and modelling methods to understand the impact of minority element concentration on residual stresses that emerge after deposition in a tungsten-titanium film with different titanium concentrations. We perform local residual stress measurements using micro-cantilever samples and employ machine learning for data extraction and stress prediction. The results are correlated with accompanying microstructure and elemental analysis as well as atomistic modelling. We discuss how titanium enrichment significantly affects the stress stored in the nanocrystalline thin film. These findings may be useful for designing stable nanocrystalline thin films.
Plasma-jet printing of colloidal thermoelectric Bi2Te3 nanoflakes for flexible energy harvesting
Authors: Manzi Jacob , Weltner Ariel E. , Varghese Tony , McKibben Nicholas , Busuladzic-Begic Mia , Estrada David , Subbaraman Harish 
Published: February 2023

Bi2Te3 nanoplates were synthesized to develop a water-based nanomaterial ink for a gravity-independent method of additive manufacturing. By optimization of the plasma-jet printer, deposited N-type thermoelectric legs showed significant flexibility.
Pressure-induced distinct excitonic properties of 2D perovskites with isomeric organic molecules for spacer cations
Authors: Wang Qingya , Ding Huafeng , Yang Tieshan , Xu Qinfeng , Mu Haifeng , Lu Taiping , Jiao Mengmeng , Zhang Jie , Cao Kunjian , Li Zhigang , Wang Honggang , Zhang Shufang , Wang Kai , Yang Chuanlu 
Published: February 2023

The evolution of the structural and photoluminescence (PL) properties of [CH3(CH2)4NH3]2PbI4 ((PA)2PbI4) and [(CH3)2CH(CH2)2NH3]2PbI4 ((PNA)2PbI4) with isomeric organic molecules for spacer cations.
Flexibility-driven 1D-structural preference in a bis-terpyridine-Fe(ii)-metallo-supramolecular polymer possessing potential tricolor electrochromism
Authors: Tripathi Shivani , Halder Sayan , Prusti Banchhanidhi , Chakraborty Chanchal , Chakravarty Manab 
Published: February 2023

We report a flexible and electron-rich N-hexyldiphenylamine-based angular ditopic terpyridine ligand that contrarily affords a 1-D linear metallosupramolecular polymer, exhibiting tricolour electrochromism with decent colouration efficiency.
Transactive energy management systems: Mathematical models and formulations
Authors: Thangavelu Vidyamani , K Shanti Swarup 
Published: February 2023

AbstractRestructuring the power system with higher penetration of distributed energy resources (DERs) and intelligent devices offers the potential for more efficient, reliable, and better resource utilisation of power systems through the transactive energy framework (TEF). This article provides a general overview of the mathematical models and formulations of the TEF reported in the literature. TEF concepts can be applied to various levels of the power system. Here, the TEF‐related literature is divided into individual DER‐, building‐, microgrid‐, and macrogrid‐level TEF. The mathematical models of transactive agents corresponding to each level and power system network models are presented. Furthermore, TEF models for energy management and trading of integrated multi‐energy systems are analysed. Finally, the potential challenges and future research directions for transactive energy are discussed.
Dynamic network tariffs: Current practices, key issues and challenges
Authors: Wang Kun , Lai Xinyi , Wen Fushuan , Singh Praveen Prakash , Mishra Sambeet , Palu Ivo 
Published: February 2023

AbstractWith the ever‐growing demand for electricity, fast development of intermittent renewable energy generation, and evolving electricity pricing mechanisms, different network tariff schemes are implemented in various countries to address emerging challenges in power system planning and operation as well as electricity market evolution. Given this background, a survey of current practices on dynamic network tariffs in some representative countries is first presented. Subsequently, key issues of dynamic network tariffs including prerequisite, implementation and effects are described. Finally, from the perspective of electricity consumers, distribution system operators and regulatory authorities, the challenges associated with the implementation of dynamic network tariffs are discussed.
Optimized planning of chargers for electric vehicles in distribution grids including PV self‐consumption and cooperative vehicle owners
Authors: Mukherjee Biswarup , Sossan Fabrizio 
Published: February 2023

AbstractThis paper presents a mathematical model to site and size the charging infrastructure for electric vehicles (EVs) in a distribution grid to minimize the required capital investments and maximize self‐consumption of local photovoltaic generation jointly. The formulation accounts for the operational constraints of the distribution grid (nodal voltages, line currents, and transformers' ratings) and the recharging times of the EVs. It explicitly models the EV owners' flexibility in plugging and unplugging their vehicles to and from a charger to enable optimal utilization of the charging infrastructure and improve self‐consumption (cooperative EV owners). The problem is formulated as a mixed‐integer linear program, where non‐linear grid constraints are approximated with linearized grid models.
A comparative case study between shallow and deep neural networks in induction motor's fault diagnosis
Authors: Gholaminejad Azadeh , Jorkesh Saeid , Poshtan Javad 
Published: February 2023

AbstractHere, performance of auto‐encoder deep neural networks in detection and isolation of induction motor states (healthy, bearing outer race fault, stator winding short circuit and broken rotor bar) in the presence of unbalanced power supply and electro‐pump dry running disturbances is investigated. Easily available three‐phase electrical current signals are denoised using independent component analysis, and then the frequency‐domain signal is used to train a neural network. A comparison is made between shallow and deep neural networks and also between the conventional structure of deep methods and the encoder–decoder structure in terms of training and test accuracy and robustness. In fact, the depth is increased and the effectiveness is investigated. At the end, it is shown that an encoder–decoder structure leads to the best result in terms of accuracy and robustness. The algorithms are examined experimentally, and the results show that the auto‐encoder deep neural network can detect the aforementioned faults with a high reliability in the presence of disturbances.
Transfusionsmedizin in der Krise
Authors: Klüter Harald 
Published: February 2023

Krise ist ein produktiver Zustand. Man muss ihm nur den Beigeschmack der
Katastrophe nehmen.

Max Frisch
Sehr geehrte Leserinnen und Leser, liebe Kolleginnen und Kollegen,täglich erreichen uns Nachrichten über immer neue Krisenszenarien.
Krisen scheinen die Welt in unserer Zeit zu bestimmen. Wie sind wir diesen
Herausforderungen gewachsen?