bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Authors: Szymczak Paulina , Możejko Marcin , Grzegorzek Tomasz , Jurczak Radosław , Bauer Marta , Neubauer Damian , Sikora Karol , Michalski Michał , Sroka Jacek , Setny Piotr , Kamysz Wojciech , Szczurek Ewa 
Published: March 2023

AbstractAntimicrobial peptides emerge as compounds that can alleviate the global health hazard of antimicrobial resistance, prompting a need for novel computational approaches to peptide generation. Here, we propose HydrAMP, a conditional variational autoencoder that learns lower-dimensional, continuous representation of peptides and captures their antimicrobial properties. The model disentangles the learnt representation of a peptide from its antimicrobial conditions and leverages parameter-controlled creativity. HydrAMP is the first model that is directly optimized for diverse tasks, including unconstrained and analogue generation and outperforms other approaches in these tasks. An additional preselection procedure based on ranking of generated peptides and molecular dynamics simulations increases experimental validation rate. Wet-lab experiments on five bacterial strains confirm high activity of nine peptides generated as analogues of clinically relevant prototypes, as well as six analogues of an inactive peptide. HydrAMP enables generation of diverse and potent peptides, making a step towards resolving the antimicrobial resistance crisis.
The dietary sweetener sucralose is a negative modulator of T cell-mediated responses
Authors: Zani Fabio , Blagih Julianna , Gruber Tim , Buck Michael D. , Jones Nicholas , Hennequart Marc , Newell Clare L. , Pilley Steven E. , Soro-Barrio Pablo , Kelly Gavin , Legrave Nathalie M. , Cheung Eric C. , Gilmore Ian S. , Gould Alex P. , Garcia-Caceres Cristina , Vousden Karen H. 
Published: March 2023

AbstractArtificial sweeteners are used as calorie-free sugar substitutes in many food products and their consumption has increased substantially over the past years1. Although generally regarded as safe, some concerns have been raised about the long-term safety of the consumption of certain sweeteners2–5. In this study, we show that the intake of high doses of sucralose in mice results in immunomodulatory effects by limiting T cell proliferation and T cell differentiation. Mechanistically, sucralose affects the membrane order of T cells, accompanied by a reduced efficiency of T cell receptor signalling and intracellular calcium mobilization. Mice given sucralose show decreased CD8+ T cell antigen-specific responses in subcutaneous cancer models and bacterial infection models, and reduced T cell function in models of T cell-mediated autoimmunity. Overall, these findings suggest that a high intake of sucralose can dampen T cell-mediated responses, an effect that could be used in therapy to mitigate T cell-dependent autoimmune disorders.
The impact of contextual information on aesthetic engagement of artworks
Authors: Darda Kohinoor M. , Chatterjee Anjan 
Published: March 2023

AbstractArt is embedded in its historical, social, political, and cultural context, and rarely evaluated in isolation. The semantic context created by providing text-based information about an artwork influences how an artwork will be evaluated. In the current study, we investigated how contextual information influences the aesthetic appreciation of artworks. Experiment 1 explored whether contextual information such as artist or technique information influenced aesthetic judgments of abstract artworks by Jackson Pollock. The combination of artist and technique information increased liking and interest for the artworks. Experiment 2 investigated whether contextual information about the artist, technique, or content of representational artworks by Indian and European/American artists influenced aesthetic responses of Northern American participants. We found that artist, content, and technique information compared to no information influenced the aesthetic experience of representational artworks. For both experiments, the effect of contextual information was stronger in participants with little art experience, and those more open to experience, and for artworks from another culture compared to one’s own. In sum, along-with theories of empirical and neuro-aesthetics, the current findings also have implications for aesthetics education and museum curation. It seems crucial to consider the type of artwork, the type of contextual information, its potential to enhance aesthetic experience, and the curatorial background of the museum or exhibition, as well as individual differences of viewers. Artworks that are unfamiliar to its viewers might require more contextual information to have an impact on the viewers, and may lower viewers’ prejudices against artworks/artists originating from an out-group.
Temperature-controlled porcine eye holder for observing intraocular temperature during cataract surgery
Authors: Minami Keiichiro , Yaguchi Saori , Bissen-Miyajima Hiroko 
Published: March 2023

AbstractDuring cataract surgery, the intraocular temperature changes when irrigating low-temperature fluid and ophthalmic viscosurgical devices (OVDs) are inserted in the anterior chamber, and such a temperature variation affects the unfolding of the intraocular lens (IOL). A porcine eye holder was developed for simulating temperature conditions in clinical surgery by maintaining the ocular temperature close to the body temperature. An aluminum holder was designed to fit porcine eyes and maintain the ocular temperature at approximately 36 °C, while surgery was performed at a room temperature of 20 °C. Intraocular temperature was monitored using a thermocouple sensor placed close to the posterior capsule in the vitreous cavity. Temperatures and microscopic image of the anterior chamber were simultaneously recorded. With the use of the eye holder system, the intraocular temperature unstable during surgery was observed, and there were significant reductions during hydrodissection, irrigation and aspiration, OVD insertion in the capsule, and OVD removal after IOL implantation.
Precise prediction of launch speed for athletes in the aerials event of freestyle skiing based on deep transfer learning
Authors: Jiang Daqi , Wang Hong , Chen Jichi , Dong Chuansheng 
Published: March 2023

AbstractAutomatically obtaining the launch speed are powerful guarantees for athletes in the aerials event of freestyle skiing to achieve good results. In most of the published studies describing athletes getting high scores, the assisting sliding distance depends entirely on the coach and even the athlete’s own experience, which may not be optimal. The main goal of the present paper is to use an acquisition system and develop an artificial neural network (ANN) model to automatically obtain the corresponding relationship between assisting sliding distance and speed. The influence of snow friction coefficient, wind speed, wind direction, slope, height and weight can be simulated in the Unity3D engine. The influence of temperature, humidity and tilt angle needs to be measured in real world by professional testers which is strenuous. The neural network is first trained by sufficient simulation data to obtain the encoded feature. Then, the information learned in simulation environment is transferred to another network. The second network uses the data taken from twenty professional testers. Compared with the model without transfer learning, the performance of proposed method has significant improvement. The mean squared error for the testing set is 0.692. It is observed that the speed predicted by the designed deep transfer learning (DTL) model is in good agreement with the experimental measurement results. The results indicate that the proposed transfer learning method is an efficient model to be used as a tool for predicting the assisting sliding distance and launch speed for athletes in the aerials event of freestyle skiing.
Relationship between electrically evoked compound action potential thresholds and behavioral T-levels in implanted children with cochlear nerve deficiency
Authors: Chao Xiuhua , Wang Ruijie , Luo Jianfen , Wang Haibo , Fan Zhaomin , Xu Lei 
Published: March 2023

AbstractIt is challenging to program children with cochlear nerve deficiency (CND) due to limited auditory and speech abilities or concurrent neurological deficits. Electrically evoked compound action potential (ECAP) thresholds have been widely used by many audiologists to help cochlear implant programming for children who cannot cooperate with behavioral testing. However, the relationship between ECAP thresholds and behavioral levels of cochlear nerve in children with CND remains unclear. This study aimed to investigate how well ECAP thresholds are related to behavioral thresholds in the MAP for children with CND. This study included 29 children with CND who underwent cochlear implantation. For each participant, ECAP thresholds and behavioral T-levels were measured at three electrode locations across the electrode array post-activation. The relationship between ECAP thresholds and behavioral T-levels was analyzed using Pearson’s correlation coefficient. The results showed that ECAP thresholds were significantly correlated with behavioral T-levels at the basal, middle, and apical electrodes. ECAP thresholds were equal to or higher than the behavioral T-levels for all tested electrodes, and fell within MAP’s dynamic range for approximately 90% of the tested electrodes. Moreover, the contour of the ECAP thresholds was similar to the contour of T-levels across electrodes for most participants. ECAP thresholds can help audiologists select stimulation levels more efficiently for children with CND who cannot provide sufficient behavioral response.
Longitudinal telomere dynamics within natural lifespans of a wild bird
Authors: Pepke Michael Le , Kvalnes Thomas , Wright Jonathan , Araya-Ajoy Yimen G. , Ranke Peter Sjolte , Boner Winnie , Monaghan Pat , Sæther Bernt-Erik , Jensen Henrik , Ringsby Thor Harald 
Published: March 2023

AbstractTelomeres, the nucleotide sequences that protect the ends of eukaryotic chromosomes, shorten with each cell division and telomere loss may be influenced by environmental factors. Telomere length (TL) decreases with age in several species, but little is known about the sources of genetic and environmental variation in the change in TL (∆TL) in wild animals. In this study, we tracked changes in TL throughout the natural lifespan (from a few months to almost 9 years) of free-living house sparrows (Passerdomesticus) in two different island populations. TL was measured in nestlings and subsequently up to four times during their lifetime. TL generally decreased with age (senescence), but we also observed instances of telomere lengthening within individuals. We found some evidence for selective disappearance of individuals with shorter telomeres through life. Early-life TL positively predicted later-life TL, but the within-individual repeatability in TL was low (9.2%). Using genetic pedigrees, we found a moderate heritability of ∆TL (h2 = 0.21), which was higher than the heritabilities of early-life TL (h2 = 0.14) and later-life TL measurements (h2 = 0.15). Cohort effects explained considerable proportions of variation in early-life TL (60%), later-life TL (53%), and ∆TL (37%), which suggests persistent impacts of the early-life environment on lifelong telomere dynamics. Individual changes in TL were independent of early-life TL. Finally, there was weak evidence for population differences in ∆TL that may be linked to ecological differences in habitat types. Combined, our results show that individual telomere biology is highly dynamic and influenced by both genetic and environmental variation in natural conditions.
A high concentration CO2 pool over the Indo-Pacific Warm Pool
Authors: Peter R. , Kuttippurath J. , Chakraborty Kunal , Sunanda N. 
Published: March 2023

AbstractAnthropogenic emissions have produced significant amount of carbon dioxide (CO2) in the atmosphere since the beginning of the industrial revolution. High levels of atmospheric CO2 increases global temperature as CO2 absorbs outgoing longwave radiation and re-emits. Though a well-mixed greenhouse gas, CO2 concentration is not uniform in the atmosphere across different altitudes and latitudes. Here, we uncover a region of high CO2 concentration (i.e. CO2 pool) in the middle troposphere (500–300 hPa) over the Indo-Pacific Warm Pool (IPWP, 40° E–140° W, 25° S–25° N), in which the CO2 concentration is higher than that of other regions in the same latitude band (20° N–20° S), by using CO2 satellite measurements for the period 2002–2017. This CO2 pool extends from the western Pacific to the eastern Indian Ocean. Much of the CO2 pool is over the western Pacific Ocean (74.87%), and the remaining lies over the eastern Indian Ocean (25.13%). The rising branch of Walker circulation acts as a “CO2 Chimney” that constantly transports CO2 released from the natural, human-induced and ocean outgassing processes to the middle and upper troposphere. The CO2 pool evolves throughout the year with an average annual trend of about 2.17 ppm yr−1, as estimated for the period 2003–2016. Our analysis further reveals that La Niña (El Niño) events strengthen (weaken) the CO2 pool in the mid-troposphere. The radiative forcing for the CO2 pool suggests more warming in the region and is a grave concern for global warming and climate change.
The effect of 1,2-dioleoyl-3-trimethylammonium propane (DOTAP) Addition on the physical characteristics of β-ionone liposomes
Authors: Miatmoko Andang , Asmoro Febe Harum , Azhari Andre Alwi , Rosita Noorma , Huang Chin-Shiu 
Published: March 2023

Abstractβ-ionone (ION) is a cyclic terpenoid compound that demonstrates considerable potential for the prevention and treatment of cancer. However, the water solubility of β-ionone is poor and the compound demonstrates low permeability. Liposomes have been reported as increasing both qualities. In this study, the development of β-ionone liposomes was initiated by adding 1,2-dioleoyl-3-trimethylammonium propane (DOTAP) to produce cationic liposomes as a means of enhancing binding to cancer cells. Liposomes composed of β-ionone, HSPC, cholesterol, and DSPE-mPEG2000 were prepared using the thin layer hydration method. Cellular uptake studies were carried out with HeLa cells incubated with β-ionone liposomes for two hours. The results indicated that the addition of DOTAP increased particle size and affected the spectroscopical and thermogram profiles of the liposomes, thereby confirming reduction in liposome crystallinity, while the zeta potential became positive. Moreover, the calcein release profile further showed that additional DOTAP increased both membrane fluidity and cellular uptake in HeLa cells In conclusion, adding DOTAP affected the physicochemical cationic properties of liposome and improved cellular uptake in HeLa cells.
Visual attention during neonatal pain assessment: A 2‐s exposure to a facial expression is sufficient
Authors: Orsi Rafael Nobre , Carlini Lucas Pereira , Heiderich Tatiany Marcondes , da Silva Giselle Valério Teixeira , Soares Juliana do Carmo Azevedo , Balda Rita de Cássia Xavier , Barros Marina Carvalho de Moraes , Guinsburg Ruth , Thomaz Carlos Eduardo 
Published: March 2023

AbstractNewborn infants are exposed to painful experiences, routinely practised clinically, that might increase their short‐ and long‐term morbidity and mortality. Facial expression has been widely used in clinical practice to assess pain in newborns. However, the inherent human visual attention required to make such vital inference is poorly understood. It is also unknown whether this inference occurs differently when comparing health professionals with non‐health ones. To investigate these issues, the authors have recorded and monitored the pupil size signal of 102 subjects (44 experts, 29 parents, and 29 non‐experts) while visually analyzing 20 frontal face images of 10 distinct newborns after a painful procedure (positive stimulus) and at painless rest (negative stimulus). Our experimental results show that neonatal pain assessment is more cognitively demanding when analyzing the presence of pain rather than its absence. In addition, the pupil responses for both positive and negative stimuli and all sample groups of subjects present experimentally a common temporal pattern, disclosing that a 2‐s exposure to a facial expression is sufficient to make this assessment, regardless of whether performed by health professionals or non‐health ones.
Operating principle and performance analysis of a novel flux–torque regulation hybrid excitation machine with axial–radial magnetic circuit using magnetic network
Authors: Qiu Hongbo , Zhang Yuqing , Ma Xiaolu , Yang Cunxiang 
Published: March 2023

AbstractIn order to solve the problem of the decreasing torque density caused by the complex structure of the hybrid excitation machine, a novel flux–torque regulation hybrid excitation machine with axial–radial magnetic circuit is proposed by the authors, which innovatively realises the increase of additional torque and the regulation of the magnetic field by an axial structure. In particular, the additional torque has a certain boost to the output torque under the flux‐weakening condition of the machine. Based on the equivalent magnetic network model, the flux regulation principle of the machine is analysed, and the expressions for the flux linkage and no‐load back electro‐motive force are given to obtain the important factors affecting the flux regulation. Based on the analysis of complex forces generated by the rotating permanent magnet in the coupling magnetic fields, the generation and control principle of the additional torque is expounded. The expression of the additional torque is derived by the Maxwell stress tensor method, which can determine the main influencing factors and these relationships. Finally, the rationality of the proposed hybrid excitation machine structure is verified by experiments.
Enhanced models with time‐series coefficients used for electric arc furnace
Authors: Babaei Zahra , Samet Haidar , Jalil Masoud 
Published: March 2023

AbstractElectric arc furnace (EAF) is one of the most disturbing loads in the power system as it is highly time‐varying and nonlinear. In this paper, new models based on the instantaneous EAF voltage and current, recorded from EAFs in Mobarakeh steel company in Isfahan/Iran are proposed. The focus of this paper is on developing efficient models based on the Schwarz model where three modified types are proposed. The original Schwarz model has four constant parameters. Unlike the original Schwarz model which uses invariant parameters, the time‐varying nature of the arc's parameters is considered in the proposed models. The first modified model has two constant model orders and two time‐varying coefficients. Additionally, to further enhance the model's accuracy, in the second modified model, six parameters include three constant model orders, and three time‐varying coefficients exist. The third model uses all the original model's parameters as time‐series parameters. The parameters of the time‐varying model are derived using autoregressive moving average (ARMA) models. The accuracy of the proposed model is evaluated by calculating the active power, harmonics, instantaneous flicker, and short‐term flicker. Finally, three MATLAB codes are provided to generate the model parameters time series.
Postfault optimal islanding of smart grids using a reinforcement learning approach
Authors: Rezapour Hamed , Jamali Sadegh 
Published: March 2023

AbstractThis paper presents a method for optimal reconfiguration of smart grids following the occurrence of short circuit faults. Due to restoration delays, the aim of the proposed approach is to save the maximum possible number of loads by forming stable islands and serving loads with Distributed Energy Resources (DERs). The islanding plan aims to prevent island instability and to help DERs continue supplying the maximum number of loads by the optimal network reconfiguration. Fault isolation is carried out by the protection system and the proposed procedure is commenced right after the fault isolation by controlling the condition of the network remote‐controlled switches. The proposed islanding plan is a novel method by this paper in the management of the postfault conditions of smart grids. Furthermore, a Q‐learning reinforcement approach is presented as the optimization tool because of its great capability and fast response for the determination of optimal reconfiguration. Numerous simulation tests for various fault locations on a 6‐bus and a 33‐bus test networks show the effectiveness of the proposed method in the improvement of postfault network reliability and sustainability.
MaNGIA: 10 000 mock galaxies for stellar population analysis
Authors: Sarmiento Regina , Huertas-Company Marc , Knapen Johan H. , Ibarra-Medel Héctor , Pillepich Annalisa , Sánchez Sebastián F. , Boecker Alina 
Published: March 2023

Context. Modern astronomical observations give unprecedented access to the physical properties of nearby galaxies, including spatially resolved stellar populations. However, observations can only give a present-day view of the Universe, whereas cosmological simulations give access to the past record of the processes that galaxies have experienced in their evolution. To connect the events that happened in the past with galactic properties as seen today, simulations must be taken to a common ground before being compared to observations. Therefore, a dedicated effort is needed to forward-model simulations into the observational plane.
Aims. We emulate data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, which is the largest integral field spectroscopic galaxy survey to date with its 10 000 nearby galaxies of all types. For this, we use the latest hydro-cosmological simulations IllustrisTNG to generate MaNGIA (Mapping Nearby Galaxies with IllustrisTNG Astrophysics), a mock MaNGA sample of similar size that emulates observations of galaxies for stellar population analysis.
Methods. We chose TNG galaxies to match the MaNGA sample selection in terms of mass, size, and redshift in order to limit the impact of selection effects. We produced MaNGA-like datacubes from all simulated galaxies, and processed them with the stellar population analysis code pyPipe3D. This allowed us to extract spatially resolved maps of star formation history, age, metallicity, mass, and kinematics, following the same procedures used as part of the official MaNGA data release.
Results. This first paper presents the approach used to generate the mock sample and provides an initial exploration of its properties. We show that the stellar populations and kinematics of the simulated MaNGIA galaxies are overall in good agreement with observations. Specific discrepancies, especially in the age and metallicity gradients in low- to intermediate-mass regimes and in the kinematics of massive galaxies, require further investigation, but are likely to uncover new physical understanding. We compare our results to other attempts to mock similar observations, all of smaller datasets.
Conclusions. Our final dataset is released with this publication, consisting of ≳10 000 post-processed datacubes analysed with pyPipe3D, along with the codes developed to create it. Future work will employ modern machine learning and other analysis techniques to connect observations of nearby galaxies to their cosmological evolutionary past.