bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO
Authors: Velten Britta , Braunger Jana M. , Argelaguet Ricard , Arnol Damien , Wirbel Jakob , Bredikhin Danila , Zeller Georg , Stegle Oliver 
Published: January 2022

AbstractFactor analysis is a widely used method for dimensionality reduction in genome biology, with applications from personalized health to single-cell biology. Existing factor analysis models assume independence of the observed samples, an assumption that fails in spatio-temporal profiling studies. Here we present MEFISTO, a flexible and versatile toolbox for modeling high-dimensional data when spatial or temporal dependencies between the samples are known. MEFISTO maintains the established benefits of factor analysis for multimodal data, but enables the performance of spatio-temporally informed dimensionality reduction, interpolation, and separation of smooth from non-smooth patterns of variation. Moreover, MEFISTO can integrate multiple related datasets by simultaneously identifying and aligning the underlying patterns of variation in a data-driven manner. To illustrate MEFISTO, we apply the model to different datasets with spatial or temporal resolution, including an evolutionary atlas of organ development, a longitudinal microbiome study, a single-cell multi-omics atlas of mouse gastrulation and spatially resolved transcriptomics.
The preference for sugar over sweetener depends on a gut sensor cell
Authors: Buchanan Kelly L. , Rupprecht Laura E. , Kaelberer M. Maya , Sahasrabudhe Atharva , Klein Marguerita E. , Villalobos Jorge A. , Liu Winston W. , Yang Annabelle , Gelman Justin , Park Seongjun , Anikeeva Polina , Bohórquez Diego V. 
Published: January 2022

AbstractGuided by gut sensory cues, humans and animals prefer nutritive sugars over non-caloric sweeteners, but how the gut steers such preferences remains unknown. In the intestine, neuropod cells synapse with vagal neurons to convey sugar stimuli to the brain within seconds. Here, we found that cholecystokinin (CCK)-labeled duodenal neuropod cells differentiate and transduce luminal stimuli from sweeteners and sugars to the vagus nerve using sweet taste receptors and sodium glucose transporters. The two stimulus types elicited distinct neural pathways: while sweetener stimulated purinergic neurotransmission, sugar stimulated glutamatergic neurotransmission. To probe the contribution of these cells to behavior, we developed optogenetics for the gut lumen by engineering a flexible fiberoptic. We showed that preference for sugar over sweetener in mice depends on neuropod cell glutamatergic signaling. By swiftly discerning the precise identity of nutrient stimuli, gut neuropod cells serve as the entry point to guide nutritive choices.
Thermoelectric properties plus phonon and de Haas–van Alphen frequencies of hole/electron-doped $$\hbox {CeIn}_3$$
Authors: Yazdani-Kachoei M. , Rahimi S. , Ebrahimi-Jaberi R. , Nematollahi J. , Jalali-Asadabadi S. 
Published: January 2022

AbstractWe investigate temperature, pressure, and localization dependence of thermoelectric properties, phonon and de Haas–van Alphen (dHvA) frequencies of the anti-ferromagnetic (AFM) CeIn$$_3$$

3

using density functional theory (DFT) and local, hybrid, and band correlated functionals. It is found that the maximum values of thermopower, power factor, and electronic figure of merit of this compound occur at low (high) temperatures provided that the 4f-Ce electrons are (not) localized enough. The maximum values of the thermopower, power factor, electronic figure of merit (conductivity parameters), and their related doping levels (do not) considerably depend on the localization degree and pressure. The effects of pressure on these parameters substantially depend on the degree of localization. The phonon frequencies are calculated to be real which shows that the crystal is dynamically stable. From the phonon band structure, the thermal conductivity is predicted to be homogeneous. This prediction is found consistent with the thermal conductivity components calculated along three Cartesian directions. In analogous to the thermoelectric properties, it is found that the dHvA frequencies also depend on both pressure and localization degree. To ensure that the phase transition at Néel temperature cannot remarkably affect the results, we verify the density of states (DOS) of the compound at the paramagnetic phase constructing a non-collinear magnetic structure where the angles of the spins are determined so that the resultant magnetic moment vanishes. The non-collinear results reveal that the DOS and whence the thermoelectric properties of the compound are not changed considerably by the phase transition. To validate the accuracy of the results, the total and partial DOSs are recalculated using DFT plus dynamical mean-field theory (DFT+DMFT). The DFT+DMFT DOSs, in agreement with the hybrid DOSs, predict the Kondo effect in this compound.
Interocular symmetry of optical coherence tomography parameters in healthy children and adolescents
Authors: Song Mi Yeon , Hwang Young Hoon 
Published: January 2022

AbstractEvaluation of interocular asymmetry of optical coherence tomography (OCT) parameters is important for the glaucoma and optic neuropathies. This study was performed to evaluate the interocular asymmetry of OCT parameters in healthy children and adolescents. The circumpapillary retinal nerve fiber layer (RNFL) thickness, optic nerve head (ONH) parameters, and macular ganglion cell-inner plexiform layer (GCIPL) thickness were measured in 620 eyes of 310 healthy children and adolescents using Cirrus HD-OCT. The interocular asymmetry (right eye–left eye) in the OCT parameters was analyzed. The mean ± standard deviation age was 10.3 ± 3.7 years (range 5–17). The right eyes showed thinner superior quadrant RNFL, thicker nasal and temporal quadrant RNFL, lesser rim and disc areas, and thinner average, superior, and superonasal GCIPL than the left eyes (P < 0.05). The 2.5th and 97.5th percentile interocular difference tolerance limits were − 9.0 μm and 11.0 μm for average RNFL thickness, − 0.21 and 0.18 for average cup-to-disc ratio, and − 4.0 μm and 4.0 μm for average GCIPL thickness, respectively. Interocular differences were found in RNFL thickness, ONH parameters, and GCIPL thickness in healthy children and adolescents. These findings should be considered when comparing OCT parameters between the right and left eyes.
Diabetic macular edema and proliferative diabetic retinopathy treated with anti-vascular endothelial growth factor under the reimbursement policy in Taiwan
Authors: Hsieh Ming-Chieh , Cheng Chieh-Yin , Li Kun-Hsien , Chuang Chih-Chun , Wu Jian-Sheng , Lee Sheng-Ta , Lu Wei-Yang , Chiu Shin-Lin , Liu Yu-Ling , Chen San-Ni 
Published: January 2022

AbstractThe purpose of this retrospective interventional case series is to compare the functional and anatomical outcomes in eyes with diabetic macular edema (DME) and proliferative diabetic retinopathy (PDR) treated intravitreally with aflibercept or ranibizumab under the Taiwan National Insurance Bureau reimbursement policy. 84 eyes were collected and all eyes were imaged with spectral-domain optical coherence tomography (SD-OCT), color fundus photographs (CFPs), and fluorescein angiography (FA). At 24 months after therapy initiation, the logMAR BCVA improved from 0.58 ± 0.33 to 0.47 ± 0.38 (p < 0.01), the CRT decreased from 423.92 ± 135.84 to 316.36 ± 90.02 (p < 0.01), and the number of microaneurysms decreased from 142.14 ± 57.23 to 75.32 ± 43.86 (p < 0.01). The mean injection count was 11.74 ± 5.44. There was no intergroup difference in logMAR BCVA (p = 0.96), CRT (p = 0.69), or injection count (p = 0.81). However, the mean number of microaneurysms was marginally reduced (p = 0.06) in eyes treated with aflibercept at the end of the follow-up, and the incidence rates of supplementary panretinal photocoagulation (PRP) (p = 0.04) and subthreshold micropulse laser (SMPL) therapy sessions (p = 0.01) were also reduced. Multivariate analysis revealed that only initial logMAR BCVA influenced the final VA improvements (odds ratio (OR) 0.49, 95% confidence interval (CI) 0.21 ~ 0.93, p < 0.01); in contrast, age (OR − 0.38, 95% CI − 6.97 ~ − 1.85, p < 0.01) and initial CRT (OR 0.56, 95% CI 0.34 ~ 0.84, p < 0.01) both influenced the final CRT reduction at 24 months. To sum up, both aflibercept and ranibizumab are effective in managing DME with PDR in terms of VA, CRT and MA count. Eyes receiving aflibercept required less supplementary PRP and SMPL treatment than those receiving ranibizumab. The initial VA influenced the final VA improvements at 24 months, while age and initial CRT were prognostic predictors of 24-month CRT reduction.
Evaluation of multi-task learning in deep learning-based positioning classification of mandibular third molars
Authors: Sukegawa Shintaro , Matsuyama Tamamo , Tanaka Futa , Hara Takeshi , Yoshii Kazumasa , Yamashita Katsusuke , Nakano Keisuke , Takabatake Kiyofumi , Kawai Hotaka , Nagatsuka Hitoshi , Furuki Yoshihiko 
Published: January 2022

AbstractPell and Gregory, and Winter’s classifications are frequently implemented to classify the mandibular third molars and are crucial for safe tooth extraction. This study aimed to evaluate the classification accuracy of convolutional neural network (CNN) deep learning models using cropped panoramic radiographs based on these classifications. We compared the diagnostic accuracy of single-task and multi-task learning after labeling 1330 images of mandibular third molars from digital radiographs taken at the Department of Oral and Maxillofacial Surgery at a general hospital (2014–2021). The mandibular third molar classifications were analyzed using a VGG 16 model of a CNN. We statistically evaluated performance metrics [accuracy, precision, recall, F1 score, and area under the curve (AUC)] for each prediction. We found that single-task learning was superior to multi-task learning (all p < 0.05) for all metrics, with large effect sizes and low p-values. Recall and F1 scores for position classification showed medium effect sizes in single and multi-task learning. To our knowledge, this is the first deep learning study to examine single-task and multi-task learning for the classification of mandibular third molars. Our results demonstrated the efficacy of implementing Pell and Gregory, and Winter’s classifications for specific respective tasks.
Quantum Fourier transform to estimate drive cycles
Authors: Dixit Vinayak , Jian Sisi 
Published: January 2022

AbstractDrive cycles in vehicle systems are important determinants for energy consumption, emissions, and safety. Estimating the frequency of the drive cycle quickly is important for control applications related to fuel efficiency, emission reduction and improving safety. Quantum computing has established the computational efficiency that can be gained. A drive cycle frequency estimation algorithm based on the quantum Fourier transform is exponentially faster than the classical Fourier transform. The algorithm is applied on real world data set. We evaluate the method using a quantum computing simulator, demonstrating remarkable consistency with the results from the classical Fourier transform. Current quantum computers are noisy, a simple method is proposed to mitigate the impact of the noise. The method is evaluated on a 15 qubit IBM-q quantum computer. The proposed method for a noisy quantum computer is still faster than the classical Fourier transform.
De-novo fabrication of sunlight irradiated silver nanoparticles and their efficacy against E. coli and S. epidermidis
Authors: Arshad Hammad , Sadaf Saima , Hassan Umer 
Published: January 2022

AbstractSilver nanoparticles (AgNPs) gained significant attention due to their activity against microbial pathogens, cancer cells, and viral particles etc. Traditional fabrication methods require hazardous chemicals as reducing agents and their usage and disposal pose a significant hazard to environmental ecosystem. Here, a de novo, robust, cost effective and an eco-friendly method is reported to fabricate AgNPs irradiated with sunlight (SL) while using Salvadora persica root extract (SPE) as reducing agent. Sunlight (SL) irradiated S. persica silver nanoparticles (SpNPs) i.e., SL-SpNPs were characterized using multiple techniques and their antibacterial efficacy was evaluated. The SL-SpNPs were synthesized in 10 min. Field emission scanning electron microscopy (FE-SEM) and transmission electron microscopy (TEM) analysis revealed their spherical morphology with a size range of 4.5–39.7 nm, while surface plasmon resonance (SPR) peaked at 425 nm. Fourier transform infrared spectroscopy (FTIR) analysis suggested that the reduction of SL-SpNPs was due to the presence of phytochemicals in the SPE. Furthermore, X-ray powder diffraction (P-XRD) pattern depicted the crystal structure of SL-SpNPs, hence proving the presence of AgNPs. Further the antibacterial studies were carried out against Escherichia coli (ATCC 11229) and Staphylococcus epidermidis (ATCC 12228) using Kirby Bauer method. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) for E. coli were determined to be 1.5 μg/mL and 3.0 μg/mL respectively while MIC and MBC values for S. epidermidis were found to be 12.5 μg/mL and 25 μg/mL respectively. The solar irradiation-based fabrication method and resulting SL-SpNPs can find their utility in many biomedical and environmental applications.
Field canalization using anisotropic 2D plasmonics
Authors: Chang Po-Han , Lin Charles , Helmy Amr S. 
Published: January 2022

AbstractOptical devices capable of suppressing diffraction nature of light are of great technological importance to many nanophotonic applications. One important technique to achieve diffractionless optics is to exploit field canalization effect. However, current technological platforms based on metamaterial structures typically suffer from strict loss-confinement trade-off, or lack dynamic reconfigurability over device operations. Here we report an integrated canalization platform that can alleviate this performance trade-off. It is found that by leveraging material absorption of anisotropic 2D materials, the dispersion of this class of materials can flatten without increasing propagation losses and compromising confinement. The realization of such plasmon canalization can be considered using black phosphorus (BP), where topological transition from elliptic to hyperbolic curves can be induced by dynamically leveraging material absorption of BP. At the transition point, BP film can support long range, deeply subwavelength, near-diffractionless field propagation, exhibiting diffraction angle of 5.5°, propagation distance of 10λspp, and λspp < λ0/300.
Joint trajectory design and power allocation for unmanned aerial vehicles aided secure transmission in the presence of no‐fly zone
Authors: Yin Guoxiao , Zhou Xiaotian , Ma Piming , Fang Fang , Zhao Peng 
Published: January 2022

AbstractUnmanned aerial vehicles (UAVs) are widely considered as key enablers for future wireless networks due to their advantages, such as high mobility and flexible deployment. In this paper, the UAV assisted secure communication system is investigated, where the UAV is deployed as the mobile jammer to prevent the eavesdropper from overhearing the confidential message. With the objective of maximizing the secrecy rate, a joint optimization problem involving the trajectory and transmit power of UAV, as well as the transmit power of source node is formulated. Moreover, the effects of Non‐Fly Zone (NFZ) and imperfect estimation on the location of eavesdropper are also taken into consideration. As the original problem is hardly trackable, the worst case secrecy rate (WCSR) assumption is first employed to bypass the uncertainty brought by the estimation error. Then a block coordinate descent (BCD) based algorithm is proposed to decompose the problem into three sub‐ones, where the trajectory of UAV, the transmit power of UAV and the transmit power of source can be obtained in an iterative manner. Simulation results reveal that the proposed algorithm can improve the secrecy performance significantly. In addition, the robustness of the proposed algorithm under the estimation error can also be verified.
Centre including eccentricity algorithm for complex networks
Authors: Akhtanov S. , Turlykozhayeva D. , Ussipov N. , Ibraimov M. , Zhanabaev Z. 
Published: January 2022

AbstractIn this work, the authors propose a new centre including eccentricity algorithm, to define the fractal dimension of networks. The authors did the fractal analysis of the real Escherichia coli network and a model UV‐flower network and confirmed that these networks are fractals . The fractal dimensions () of these networks are calculated and = 2.485 for the real E. coli network and = 2.1 for the UV‐flower network is obtained. Also, the authors defined the fractal dimensions of real social networks and compared their method with Song's, Zhang's and Zheng's methods. Furthermore, the authors’ algorithm can solve situations with single‐node boxes at the edges of the network and can cover networks with minimum number of boxes. The authors believe that centre including eccentricity algorithm is competitive among existing algorithms and can be used to evaluate fractal properties of complex networks.
Expansion planning of electric vehicle charging stations considering the benefits of peak‐regulation frequency modulation
Authors: He Jun , Yang Xiao Ling , Deng ChangHong , Liu GuoGang , Huang WenTao , Zhu LiWen 
Published: January 2022

AbstractThe China Energy Administration has issued policies to encourage energy storage to participate in the electric auxiliary service market, which will provide ideas for electric vehicle charging stations (EVCSs) to collectively participate in peak‐regulation and frequency modulation (FM). Taking into account the benefits of EVs participating in peak‐regulation and FM, this paper studies expansion planning for EVCSs. First, the orderly scheduling strategy of EVs under vehicle‐to‐grid (V2G) technology is established in this paper. And a peak regulation method is proposed to maximize the economic benefits of charging and discharging during peak and valley periods. Second, based on the temporal and spatial prediction model of EV charging demand, the expansion planning model of EVCSs is constructed considering the benefits of peak‐regulation and FM. Aiming at minimizing the comprehensive annual social cost of charging stations, the expansion site selection and capacity scheme of EVCSs are obtained. Finally, taking the 24 nodes in Xiangzhou District of Zhuhai City as an example, the location and capacity of the final annual expansion plan are obtained. And the influence of main control parameters on the results of the whole model and method is analysed in detail, the feasibility and effectiveness of the whole model and method are verified.
The period-age relation of long-period variables
Authors: Trabucchi M. , Mowlavi N. 
Published: January 2022

Context. Pieces of empirical evidence suggest the existence of a period-age relation for long-period variables (LPVs). Yet, this property has hardly been studied on theoretical grounds thus far.
Aims. We aim to examine the period-age relation using the results from recent nonlinear pulsation calculations.
Methods. We combined isochrone models with theoretical periods to simulate the distribution of fundamental mode LPV pulsators, which include Miras, in the period-age plane, and we compared it with observations of LPVs in Galactic and Magellanic Clouds’ clusters.
Results. In agreement with observations, models predict that the fundamental mode period decreases with increasing age because of the dominant role of mass in shaping stellar structure and evolution. At a given age, the period distribution shows a non-negligible width and is skewed toward short periods, except for young C-rich stars. As a result, the period-age relations of O-rich and C-rich models are predicted to have different slopes. We derived best-fit relations describing age and initial mass as a function of the fundamental mode period for both O- and C-rich models.
Conclusions. The study confirms the power of the period-age relations to study populations of LPVs of specific types, either O-rich or C-rich, on statistical grounds. In doing so, it is recommended not to limit a study to Miras, which would make it prone to selection biases, but rather to include semi-regular variables that pulsate predominantly in the fundamental mode. The use of the relations to study individual LPVs, on the other hand, requires more care given the scatter in the period distribution predicted at any given age.
Comparison of Three Different Cord Clamping Techniques Regarding Oxidative–Antioxidative Capacity in Term Newborns
Authors: Kartal İshak , Abbasoglu Aslihan , Taysi Seyithan 
Published: January 2022

Objective As newborns are exposed to oxidative stress during delivery, cord clamping techniques play significant role on antioxidant status. In this study, we aimed to show the relationship between early cord clamping (ECC), delayed cord clamping (DCC), and cut–umbilical cord milking (C-UCM) techniques with total oxidant capacity (TOC), total antioxidant capacity (TAC), and peroxynitrite levels.
Study Design Sixty-nine term infants were selected with Apgar's score of 7 and above in the 1 minute and 5 minutes. The mothers of all infants had uncomplicated pregnancy, had no congenital anomaly, and delivered by cesarean section. Newborns were randomized to one of three groups: ECC (n: 23), DCC (n: 23), or C-UCM (n: 23). After all newborn babies were taken under radiant heater, blood samples were collected from the UC. The plasma samples were then frozen and stored at −80°C until analysis and TOC, TAC, and peroxynitrite levels were studied.
Results The ages of the mothers participating in the study were between 17 and 42 years, with an average of 29.14 ± 6.28. Thirty (43.5%) of the babies were girls and 39 (56.5%) were boys. The 5-minute Apgar's score of the babies in ECC group was significantly lower than the babies in DCC and cut cord milking group (p = 0.034; p = 0.034; p < 0.05). The TOC, oxidative stress index (OSI), and peroxynitrite measurements of three groups did not differ statistically. The TAC value of the C-UCM group was significantly higher than the patients with the ECC and DCC groups (p = 0.002; p = 0.019; p < 0.05).
Conclusion C-UCM and DCC would be feasible methods by increasing antioxidant status and providing protective effect on the future health of the term newborns.
Key Point
Synthesis of Seleno Oxindoles via Iodine-Induced Radical Cyclization of N-Arylacrylamides with Diorganyl Diselenides
Authors: Du Juan , Gui Qing-Wen , Jiang Hongmei , Shen Haicheng , Li Cehua , Jin Zheng , Shang Yanxue , Chen Yufeng , Yi Min 
Published: January 2022

AbstractA mild, radical cascade cyclization of N-arylacrylamides with diselenides for the preparation of oxindoles via iodine oxidation is disclosed that provides an environmentally friendly process for the construction of C–Se bonds. Twenty-five examples of N-arylacrylamide substrates were investigated, and excellent yields were achieved. The tandem cyclization of acrylamide with diphenyl disulfide was also applicable under the same conditions.