Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Intubation Success Rate using Airtraq Laryngoscope and Intubating Laryngeal Mask Airway in Novice Users with Prior Airway Management Experience: A Prospective Randomised Study

Abstract Background and Aims Securing the airway without morbidity is of prime importance. The difficult airway cart should have some advanced airway aids if not all. In this study we evaluated Airtraq laryngoscope and Intubating Laryngeal Mask Airway (ILMA) as intubating devices in novice users who were well accomplished in intubation using direct laryngoscope with Macintosh blade. Both the devices were used because of relatively lesser cost, portability and all in one compact design not requiring any setup. Methods: 60 consenting American Society of Anaesthesiology (ASA) Grade I and II patients, weighing 50 to 70 were randomly assigned to be intubated by Airtraq or ILMA. Primary Aim was to compare success rate and intubation time. Comparison of ease of intubation and postoperative pharyngeal morbidity were the secondary end points. Results Success rate of intubation was higher in ILMA group (100%) than Airtraq (80%) [P = 0.0237]. However, in successful intubations the time for intubation was significantly less with Airtraq (Group A = 45.37 ± 27.55, Group I = 77.6 ± 31.85; P = 0.0003). No significant difference was noted in ease of intubation, number of optimizing manoeuvres to facilitate intubation and postoperative pharyngeal morbidity. Conclusion In Clinicians who are well versed with laryngoscopy using Macintosh blade but new to Airtraq and ILMA, success rate of intubation is higher with ILMA. Prolonged intubation time in ILMA should not deter its use in difficult airway scenarios because of the ability to ventilate through it.
A human stomach cell type transcriptome atlas

The identification of cell type-specific genes and their modification under different conditions is central to our understanding of human health and disease. The stomach, a hollow organ in the upper gastrointestinal tract, provides an acidic environment that contributes to microbial defence and facilitates the activity of secreted digestive enzymes to process food and nutrients into chyme. In contrast to other sections of the gastrointestinal tract, detailed descriptions of cell type gene enrichment profiles in the stomach are absent from the major single cell sequencing-based atlases. Here, we use an integrative correlation analysis method to predict human stomach cell type transcriptome signatures using unfractionated stomach RNAseq data from 359 individuals. We profile parietal, chief, gastric mucous, gastric enteroendocrine, mitotic, endothelial, fibroblast, macrophage, neutrophil, T-cell and plasma cells, identifying over 1600 cell type-enriched genes. We uncover the cell type expression profile of several non-coding genes strongly associated with the progression of gastric cancer and, using a sex-based subset analysis, uncover a panel of male-only chief cell-enriched genes. This study provides a roadmap to further understand human stomach biology.
Structural theorems for quasiasymptotics of distributions at the origin

An open question concerning the quasiasymptotic behavior of distributions at the origin is solved. The question is the following: Suppose that a tempered distribution has quasiasymptotic at the origin in S ′(ℝ), then the tempered distribution has quasiasymptotic in D ′(ℝ), does the converse implication hold? The second purpose of this article is to give complete structural theorems for quasiasymptotics at the origin. For this purpose, asymptotically homogeneous functions with respect to slowly varying functions are introduced and analyzed (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Human-specific features and developmental dynamics of the brain N-glycome

Comparative “omics” studies have revealed unique aspects of human neurobiology, yet an evolutionary perspective of the brain N-glycome is lacking. Here, we performed multi-regional characterization of rat, macaque, chimpanzee, and human brain N-glycomes using chromatography and mass spectrometry, then integrated these data with complementary glycotranscriptomic data. We found that in primates the brain N-glycome has evolved more rapidly than the underlying transcriptomic framework, providing a mechanism for generating additional diversity. We show that brain N-glycome evolution in hominids has been characterized by an increase in complexity and α(2-6)-linked N-acetylneuraminic acid along with human-specific cell-type expression of key glycogenes. Finally, by comparing the prenatal and adult human brain N-glycome, we identify region-specific neurodevelopmental pathways that lead to distinct spatial N-glycosylation profiles in the mature brain. One-Sentence Summary Evolution of the human brain N-glycome has been marked by an increase in complexity and a shift in sialic acid linkage.
The n-Queens Problem

This question was first posed for the ordinary 8 x 8 chessboard as an anonymous problem [3], later attributed to Max Bezzel [1, p. 211]. The problem received wide attention, however, when posed by Franz Nauck in 1850 [22]. Writing about the problem in a letter to the astronomer Schumacher, Gauss conjectured that there were 72 solutions [9]. Soon after this 92 solutions were published which convinced Gauss that he had been incorrect. The 92 solutions are commonly represented by 12 "fundamental" solutions, that is, solutions that are not reflections and rotations of each other (see Figure 2). That 92 was the right answer, however, was not proved formally until 1874 by Dr. Glaisher [10], [27], using an idea of Gunther (see Section 5). For a history of early results see [1] and the bibliography of [28].
Two RNA-binding proteins mediate the sorting of miR223 from mitochondria into exosomes

Fusion of multivesicular bodies (MVBs) with the plasma membrane results in the secretion of intraluminal vesicles (ILVs), or exosomes. The sorting of one exosomal cargo RNA, miR223, is facilitated by the RNA-binding protein, YBX1 (Shurtleff et al., 2016). We found that miR223 specifically binds a “cold shock” domain (CSD) of YBX1 through a 5’ proximal sequence motif UCAGU that may represent a binding site or structural feature required for sorting. Prior to sorting into exosomes, most of the cytoplasmic miR223 resides in mitochondria. An RNA-binding protein localized to the mitochondrial matrix, YBAP1, appears to serve as a negative regulator of miR223 enrichment into exosomes. miR223 levels decreased in the mitochondria and increased in exosomes after loss of YBAP1. We observed YBX1 shuttle between mitochondria and endosomes in live cells. YBX1 also partitions into P body granules in the cytoplasm (Liu et al., 2021). We propose a model in which miR223 and likely other miRNAs are stored in mitochondria and are then mobilized by YBX1 to cytoplasmic phase condensate granules for capture into invaginations in the endosome that give rise to exosomes.
Not all Notch pathway mutations are equal in the embryonic mouse retina

In the vertebrate retina, combinations of Notch ligands, receptors, and ternary complex components determine the destiny of retinal progenitor cells by regulating Hes effector gene activity. Owing to reiterated Notch signaling in numerous tissues throughout development, there are multiple vertebrate paralogues for nearly every node in this pathway. These Notch signaling components can act redundantly or in a compensatory fashion during development. To dissect the complexity of this pathway during retinal development, we used seven germline or conditional mutant mice and two spatiotemporally distinct Cre drivers. We perturbed the Notch ternary complex and multiple Hes genes with two overt goals in mind. First, we wished to determine if Notch signaling is required in the optic stalk/nerve head for Hes1 sustained expression and activity. Second, we aimed to test if Hes1, 3 and 5 genes are functionally redundant during early retinal histogenesis. With our allelic series, we found that disrupting Notch signaling consistently blocked mitotic growth and overproduced ganglion cells, but we also identified two significant branchpoints for this pathway. In the optic stalk/nerve head, sustained Hes1 is regulated independent of Notch signaling, whereas during photoreceptor genesis both Notch-dependent and -independent roles for Rbpj and Hes1 impact photoreceptor genesis in opposing manners.
Production of β-PheRS fragments correlates with food avoidance and slow growth, and is suppressed by the appetite-inducing hormone CCHa2

The housekeeping tRNA synthetases play many non-canonical roles with diverse functions. The phenylalanyl-tRNA synthetase (PheRS/FARS) is an α2β2 tetramere. Recently, human patients with mutations in FARSB, the homolog of β-PheRS in Drosophila, have been reported to display problems gaining weight. Here, we show in Drosophila that overexpressing the β subunit in the context of the complete PheRS leads to larval roaming, food avoidance, slow growth, and a developmental delay that can last several days and even prevents pupation. Narrowing down the tissue involved in this behavioral and developmental effect revealed that expression in CCHa2+ and Pros+ cells induced this phenotype. Simultaneous expression of β-PheRS, α-PheRS, and the appetite-inducing CCHa2 peptide rescued these phenotypes, linking this β-PheRS activity to the appetite-controlling pathway. The fragmentation dynamics of the excessive β-PheRS points to a β-PheRS fragment as a likely candidate inducer of these phenotypes. Fragmentation of PheRS (FARS) has also been observed in humans and mutations in human β-PheRS (FARSB) can lead to problems in gaining weight. This study, therefore, points to a potential mechanism for the human phenotype and to possible novel approaches to research ways to correct the balance between hunger and satiety signals in the context of obesity.
A Practical Assessment of the Errors Associated with Full-Depth LADCP Profiles Obtained Using Teledyne RDI Workhorse Acoustic Doppler Current Profilers

Abstract Lowered acoustic Doppler current profilers (LADCPs) are commonly used to measure full-depth velocity profiles in the ocean. Because LADCPs are lowered on hydrographic wires, elaborate data processing is required to remove the effects of instrument motion from the velocity measurements and to transform the resulting relative velocity profiles into a nonmoving reference frame. Two fundamentally different methods are used for this purpose: in the velocity inversion method, a set of linear equations is solved to separate the ocean and instrument velocities while simultaneously applying a combination of velocity-referencing constraints from navigational data, shipboard ADCP measurements, and bottom tracking. In the shear method, a gridded profile of velocity shear, which is not affected by instrument motion, is vertically integrated and referenced using a single constraint. The main goals of the present study consist in estimating the accuracy of LADCP-derived velocity profiles and determining which p.
Parametric Excitation of Transverse Waves in a Plasma

It is shown that an externally‐imposed, oscillating electric field excites transverse electromagnetic waves propagating perpendicularly to it, in a cold plasma. The mechanism is closely related to the parametric excitation of longitudinal plasma oscillations recently predicted by Aliev and Silin. The problem provides an application of nonsecular perturbation methods, when the equations of motion are expanded in powers of the external electric field. Arbitrarily small perturbations which arise spontaneously in the plasma are amplified by the action of the electric field, for a certain range of the driving frequency. The growth rate of the oscillations is calculated.
Adopting Haar Cascade Algorithm on Mask Detection System Based on Distance

COVID-19 which has hit almost the whole world, including Indonesia, which has become an epidemic in early 2020. Many cities and districts have enforced to comply with health protocols by using masks. All cities and regencies in South Sumatra are also required to follow health protocols by wearing masks and maintaining distance. So that the Mask Detection System program is a way to overcome public awareness, especially Bina Darma University that the importance of using masks today. In the case of making this mask detection system program using Python and using the Haar Cascade Algorithm. From experiments using the Haar Cascade method, the results show that this system can detect people who use masks and do not use masks. This test is also done by inputting images or videos. Futhermore, in testing this detection system, the approximate distance and angle also need to be considered because it will be very influential.
Spatio-Temporal Attention with Symmetric Kernels for Multivariate Time Series Forecasting

Multi-horizon time series forecasting is a dynamic research area with applications in diverse sectors. Existing forecasting and classifier models assume the availability of training data at one node without any abstraction to account for disparate computing infrastructures, which results in lack of effective identification of long term and short term dependencies. To fill this gap, this paper contributes a novel Spatio-Temporal Attention mechanism building on a divide and conquer strategy. The objective is to train an end-to-end model exploiting longer and shorter term dependencies and inter-relationship among time series, thus improving time complexity and exploiting distributed computational resources. The combination of static covariate encoders, local recurrent encoders and global decoders enables the model to give competitive results against certain other state-of-the-art methods, with the additional advantage of interpretable attention weights and resource complexity reduction. Further, the novel symmetric kernel is also shown to offer accelerated inference suitable for real time applications. Effectiveness of the novel architecture is demonstrated on three public datasets with comprehensive experiments.
Smart Antenna System for Wireless Communication: A Review

One of the fastest growing correspondences regions is the brilliant antenna framework. This is an overview of a paper that describes the rule and operation of smart radio wires, as well as the style of their application in many domains such as the 5G communication framework, orthogonal frequency division multiple access, for example, is one of the finest multi-bearer modifications. Pointed radio cables in handheld communications improve the mobile and cell platform's capabilities, such as quicker remuneration, multi-use impedance, space division multiplexing (SDMA), increased run, spread spectrum mitigation, and lowering of blunders associated with multi blurring alongwith high system security. The flag emitted by a dazzling reception device cannot be tracked or picked up by another receiving wire, ensuring that the information transferred is secure. Presented study also shows the necessary calculations for pillar shape in reception equipment patterns.
Antecedents of the E-Learning Adoption in Adamson University during Pandemic COVID-19: The Higher Education Students’ Perspectives

This study aims to analyze the antecedents of e-learning adoption during the pandemic at Adamson University. This quantitative research uses Structural Equation Modeling Partial Least Square (SEM-PLS) to analyze the data obtained. The data was collected from Adamson University’s higher education students with an online questionnaire survey distributed from May until July 2022. In total, there are 207 respondents collected and valid to do measurement and further analysis. The study comprehensively demonstrates consistent results with the previous research. The results show that all hypotheses are accepted and supported by previous research. System Quality and Prior e-learning experience have a positive and significant direct effect on Perceived Usefulness and Perceived Ease of Use. Then. Perceived Usefulness and Perceived Ease of Use have a positive and significant effect on Attitude toward e-learning. Attitude towards e-learning has a positive direct effect on behavioral intention to use e-learning. Implications, limitations, and further research suggestions were well discussed.
AKN-FGD: Adaptive Kohonen Network Based Fine-Grained Detection of LDoS Attacks

Low-rate denial of service (LDoS) attacks exploit the security vulnerabilities of network protocols adaptive mechanisms to launch periodic bursts. These attacks result in the severe destruction of the quality of service of TCP applications. Therefore, detection of LDoS attacks is a concern among scientific communities. However, the existing coarse-scale detection methods yield poor detection performance and adaptability. To achieve the accurate detection of LDoS attacks, an adaptive Kohonen Network based fine-grained detection (AKN-FGD) model for LDoS attacks is proposed. Based on the burst and periodicity characteristics of attack traffic, the Smith-Waterman (SW) algorithm is used to estimate the pulse period, which is the length of the detection unit. Subsequently, cluster analysis is performed for each detection unit using the adaptive Kohonen network (AKN) algorithm because the discreteness of traffic suffering from LDoS attacks is more pronounced than that of legitimate traffic. Finally, the existence of LDoS attacks can be verified in view of a novel decision metric, denoted as the anomaly degree, based on the clustering results. We conducted experiments not solely in traditional networks using NS3 and in a test-bed environment but also in a software-defined network (SDN), with accuracies of 99.7%, 99.8%, and 95.6% for detecting LDoS bursts, respectively. The experimental results show that the AKN-FGD scheme not only enables accurate fine-grained detection, that is, it can detect every attack burst, but also estimates the start and end times of the attacks. Moreover, we have compared the AKN-FGD scheme with some other detection methods, and a comparison of the results show that our proposed approach displays better detection performance.
Machine Learning Assisted DL CSI Estimation for High-Mobility Multi-Antenna Users with Partial UL CSI Availability in TDD Massive MIMO Systems

Estimation of downlink (DL) channel state information (CSI) is necessary in massive multiple-input multiple-output (MIMO) systems to enable precoding and in general achieve high spectral efficiency. However, CSI estimation (both uplink (UL) and DL) is challenging in an environment with highly mobile users due to rapidly-varying fading. The estimation becomes even more challenging when the UL CSI knowledge is incomplete due to system constraints. In this work, we combine two machine learning techniques to tackle this twofold problem: 1) predicting DL CSI from earlier UL CSI estimates, and 2) estimating full UL CSI from its incomplete form. For the first sub-problem, we apply long short-term memory (LSTM) to capture the spatiotemporal correlation between CSI at different time instances and UE positions. For the second sub-problem, we use a conditional generative adversarial network (CGAN) to estimate the full UL CSI from its incomplete version. We study the normalized mean squared error performance of the proposed CGAN-LSTM method and compare the achieved spectral efficiency of the system with what is maximally achievable with full CSI knowledge.
Quantitative and Qualitative Analysis of PCC-based Change detection methods over Agricultural land using Sentinel-2 Dataset

To plan production, the sowing, and harvesting of a particular crop, and the performance of marketing activities information about yields is important for both the traders and producers. In this study, various efforts have been made to extract critical information for agriculture land use classification areas using Sentinel-2 datasets, which was not possible with the help of multi-spectral datasets. As part of the current work, the artificial neural networks (ANN) classifier is combined with the post-classification comparison (PCC), thereby predicting seasonal variability from satellite imagery. The ANN classifier is incorporated into the post-classification comparison procedure, called ANN-based change detection. As part of the demonstration, the datasets were acquired using Sentinel-2 datasets during the period 2017 – 2018 over the agricultural land in Block Khamanon, District Fatehgarh Sahib, Punjab State, India. This process cross-validated the performance of ANN with a conventional maximum likelihood classifier (MLC) for confirmation. In comparison with the conventional PCC-MLC model (classified maps have an average of 86 – 88.8%, and change maps have an average of 83.6 – 84.2%), the PCC-ANN model achieved accuracy (classified maps have an average of 90.4 – 93.4%, and change maps have an average of 87.4 – 90%). In addition to identifying water surfaces, crop types, and man-made features, this study can also help in performing a wide range of land-use patterns.
The first-order orbital equation

We derive the first-order orbital equation employing a complex variable formalism. We then examine Newton’s theorem on precessing orbits and apply it to the perihelion shift of an elliptic orbit in general relativity. It is found that corrections to the inverse-square gravitational force law formally similar to that required by general relativity were suggested by Clairaut in the 18th century.
Rate Splitting Multiple Access for Energy Efficient RIS-aided Multi-user Short-Packet Communications

This paper investigates a novel framework of resource allocation design in a reconfigurable intelligent surface (RIS)-aided rate-splitting multiple access (RSMA) system for energy-efficient short-packet communications (SPC). In particular, we focus on the joint design of the precoder at the base station (BS) and passive beamforming at the RIS for energy efficiency maximization of multi-user downlink (DL) RSMA the system under given information on packet size and packet-error probability. Due to the non-convexity of the formulated resource allocation problem, we proposed a sub-optimal iterative algorithm that effectively solves the joint optimization problem using an alternating optimization algorithm, Dinkelbach algorithm, and successive convex approximation techniques. Finally, numerical results are presented to validate the effectiveness and the superiority of the proposed RIS-aided RSMA scheme for SPC over conventional non-orthogonal multiple access (NOMA) and space-division multiple access (SDMA) schemes, while maintaining low packet size and high reliability.
Design of Magnetic Proof Mass for Broadening Spatial Resolution Energy Harvester from Current Carrying Wire

Energy harvesting from current carrying wires utilizing a piezoelectric cantilever with a magnetic proof mass has been examined from numerous perspectives in the recent years. However, one of the major practical challenges associated with this application is that the device performance is strongly dependent on the precise location of the magnet mass in relation to the wire, with typical single wires requiring a precise 45° angle placement. This study investigates altering the shape of the magnetic proof mass to distribute more uniformly the vertical and lateral torques applied to the cantilever, in order to broaden the spatial location demand. NdFeB magnets were custom created in the form a triangle, long rectangle, and short rectangle all having a 2.5 mm thickness. Among the various magnets, the triangular shaped mass demonstrated the broadest spatial demand demonstrating similar power values over the course of 14 mm. The experimental results were also verified by the finite element analysis results obtained from COMSOL Multiphysics. The results demonstrate that altering the magnets shape can help alleviate any error caused by misalignment.