bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of timing of relapse in dogs with nonassociative immune‐mediated hemolytic anemia, thrombocytopenia, or polyarthritis
Authors: Sparrow Richard , Swann James W. , Glanemann Barbara
Published: February 2024

Background

Relapse is a clinical concern in dogs diagnosed with immune‐mediated hemolytic anemia (IMHA), thrombocytopenia (ITP), or polyarthritis (IMPA). The average time to relapse is unknown, and evidence that vaccination is associated with disease relapse is lacking.

Hypothesis/Objectives

Compare the incidence of relapse in groups of dogs with IMHA, ITP, or IMPA over a 24‐month period after diagnosis and compare proportions of dogs that received vaccines in those dogs that did and did not relapse.

Animals

One hundred sixty client‐owned dogs (73 with IMHA, 55 with ITP, 32 with IMPA).

Methods

Medical records of dogs were reviewed with the goal of following cases for a minimum of 2 years. Incidence of relapse was calculated for each disease, and relapse rates in dogs that were or were not vaccinated after diagnosis were compared.

Results

Relapse rates at 12 months differed significantly among disease groups (P = .02), with a higher rate for IMPA (35%) compared to IMHA (11%) or ITP (11%). Relapse rate at 24 months was 41% for IMPA, 18% for IMHA, and 23% for ITP. Ninety percent of IMPA relapses occurred in the first 12 months after diagnosis, compared with 56% for IMHA and 50% for ITP. Vaccine administration after diagnosis was not associated with relapse (P = .78).

Conclusions and Clinical Importance

Risk of disease relapse in IMPA is highest in the first year after diagnosis, with a higher relapse rate compared with IMHA and ITP. The role of vaccination in disease relapse remains unclear.
14C and 14C‐10Be terrestrial age dating system for meteorites—New data for four recently fallen meteorites
Authors: Tauseef Mohammad , Leya Ingo , Gattacceca Jérôme , Hofmann Beda , Szidat Sönke , Braucher Régis ,   ASTER Team
Published: February 2024

We perform a systematic and detailed study of the 14C and 14C‐10Be dating systems for meteorite terrestrial ages. Physical model calculations indicate that neither the 14C production rates nor the 14C/10Be production rate ratios are constant enough to be reasonably approximated by average values. By using simple averages, one introduces a significant size‐dependent bias into the database for meteorite terrestrial ages. By combining modeled 14C production rates and 14C/10Be production rate ratios with (22Ne/21Ne)cos ratios and assuming ~80% ablation losses, relatively easy to use correlations of 14C production rates and 14C/10Be production rate ratios as a function of (22Ne/21Ne)cos are established. The new correlations enable the determination of terrestrial ages that are more accurate than ages based solely on average values for 14C and/or 14C/10Be. We validate the model predictions by measuring 14C activity concentrations, 14C/10Be production rate ratios, 21Necos concentrations, and (22Ne/21Ne)cos ratios in four recently fallen meteorites: Mt. Tazerzait, Boumdeid (2011), Bensour, and SaU 606. The experimental data confirmed the model predictions, although the available data are insufficient to be conclusive. More data from freshly fallen meteorites are needed for validating the model predictions for different chondrite sizes and chondrite types.
Development of an Advanced Robotic System with Line Tracking and Sanitization in Healthcare Industry
Authors: Kevin Ng Zhi Hao , Yu Jia Qi , Mohamad Zaini Nur Aisyah Maisarah , Omar Arm Omar Fahmi , Jamaludin Julia Jais , Hau Yuan Wen
Published: February 2024

COVID-19 is highly transmittable, especially for frontline healthcare workers. Far-UVC light at 222 nm wavelength effectively inactivates the virus and is safe for human skin and eyes. To reduce the contact between healthcare workers and infected patients while sanitizing the area, this work introduces UVood, an advanced robotic system with automated line tracking and sanitizer to enhance the safety of frontline healthcare workers during the COVID-19 pandemic. Utilizing far-UVC light, the system achieves effective sanitization without harm to humans. Controlled by an Arduino Mega microcontroller and incorporating infrared (IR) and passive infrared (PIR) sensors, UVood allows precise navigation and continuous disinfection. This prototype also integrates a touchscreen as a user interface for user control. Through the functionality verification, the developed proof-of-concept prototype has successfully demonstrated its great potential in healthcare automation and infection prevention.
Improving Classroom Chairs for Student Comfort and Health: An Ergonomic Approach
Authors: Ahmad Nooraziah , Ismail Ahmad Rasdan , Mohamad Darliana , Sonie Palate Nur Syakina , Kamaruzzaman Azmul Fadhli
Published: February 2024

This research addresses the critical issue of discomfort and health challenges experienced by students due to non-ergonomic chairs in university classrooms. Students spend a significant portion of their day in classrooms, leading to discomfort and potential health issues stemming from improper chair design. This study identifies problems with existing tablet armchairs. By analysing data from 64 university students and conducting RULA assessments, discomfort areas and posture issues were identified. Anthropometric measurements from the students aided in developing a more ergonomic chair design. The study's methodology involves subjective evaluations, interviews, RULA assessments, and anthropometric measurements. It concludes in designing and developing an improved tablet armchair, addressing the identified issues. The newly designed chair dimensions align with anthropometric measurements to enhance student comfort and well-being. The study underscores the significance of ergonomics in product design, specifically in educational settings, to minimize musculoskeletal risks and enhance user comfort. This research presents a foundational step towards implementing ergonomic solutions in educational environments for better student well-being and comfort.
Baby Crying Sound Classification using Convolutional Neural Network
Authors: Muhammad Naufal Fikri , Dewan Raimi , Pusppanathan Jaysuman , Suryanata Faishal Adilah
Published: February 2024

Crying is a crucial means of communication for newborns, crying is a newborn's early form of communication. Many individuals are unable to recognise a baby's intention from cry unless they have the appropriate training or expertise, such as nurses, paediatricians, and childcare professionals. Accurately interpreting a baby's cry can be challenging. In this research paper, the study uses a method for classifying baby crying sounds using a Convolutional Neural Network (CNN) and the dataset includes belly pain, burping, discomfort, hungry, and tired for total of 3,495 one-second-long audio clips. The research methodology involves preprocessing the audio data, extracting Mel-Frequency Cepstral Coefficients (MFCC) as features, and training the CNN model. To determine the optimal architecture, two different configurations of the CNN model are evaluated. The settings for both configurations are the same, except for the layers. The first configuration utilizes 100, 200, and 100 neurons for the respective layers, while the second configuration employs 256, 512, and 256 neurons for each layer. the results have already been evaluated that the second configuration, with deeper and more complex layers, achieves higher accuracy (86%) compared to the first configuration (84%). The study demonstrates the effectiveness of CNNs in classifying baby cries and highlights the importance of model architecture in achieving accurate classification results. Future research could explore larger and more diverse datasets to improve generalizability.
Multitier regulation of the
E. coli
extreme acid stress response by CsrA
Authors: Gorelik Mark G. , Yakhnin Helen , Pannuri Archana , Walker Alyssa C. , Pourciau Christine , Czyz Daniel , Romeo Tony , Babitzke Paul
Published: February 2024

CsrA is an RNA-binding protein that regulates processes critical for growth and survival, including central carbon metabolism, motility, biofilm formation, stress responses, and expression of virulence factors in pathogens. Transcriptomics studies in
Escherichia coli
suggested that CsrA repressed genes involved in surviving extremely acidic conditions. Here, we examine the effects of disrupting CsrA-dependent regulation on the expression of genes and circuitry for acid stress survival and demonstrate CsrA-mediated repression at multiple levels. We show that this repression is critical for managing the trade-off between growth and survival; overexpression of acid stress genes caused by
csrA
disruption enhances survival under extreme acidity but is detrimental for growth under mildly acidic conditions.
In vitro
studies confirmed that CsrA binds specifically to mRNAs of structural and regulatory genes for acid stress survival, causing translational repression. We also found that translation of the top-tier acid stress regulator,
evgA
, is coupled to that of a small leader peptide,
evgL
, which is repressed by CsrA. Unlike dedicated acid stress response genes,
csrA
and its sRNA antagonists,
csrB
and
csrC,
did not exhibit a substantial response to acid shock. Furthermore, disruption of CsrA regulation of acid stress genes impacted host-microbe interactions in
Caenorhabditis elegans
, alleviating GABA deficiencies. This study expands the known regulon of CsrA to genes of the extreme acid stress response of
E. coli
and highlights a new facet of the global role played by CsrA in balancing the opposing physiological demands of stress resistance with the capacity for growth and modulating host interactions.

IMPORTANCE

To colonize/infect the mammalian intestinal tract, bacteria must survive exposure to the extreme acidity of the stomach.
E. coli
does this by expressing proteins that neutralize cytoplasmic acidity and cope with molecular damage caused by low pH. Because of the metabolic cost of these processes, genes for surviving acid stress are tightly regulated. Here, we show that CsrA negatively regulates the cascade of expression responsible for the acid stress response. Increased expression of acid response genes due to
csrA
disruption improved survival at extremely low pH but inhibited growth under mildly acidic conditions. Our findings define a new layer of regulation in the acid stress response of
E. coli
and a novel physiological function for CsrA.
Locally conformally product structures
Authors: Flamencourt Brice
Published: February 2024

A locally conformally product (LCP) structure on compact manifold [Formula: see text] is a conformal structure [Formula: see text] together with a closed, non-exact and non-flat Weyl connection [Formula: see text] with reducible holonomy. Equivalently, an LCP structure on [Formula: see text] is defined by a reducible, non-flat, incomplete Riemannian metric [Formula: see text] on the universal cover [Formula: see text] of [Formula: see text], with respect to which the fundamental group [Formula: see text] acts by similarities. It was recently proved by Kourganoff that in this case [Formula: see text] is isometric to the Riemannian product of the flat space [Formula: see text] and an incomplete irreducible Riemannian manifold [Formula: see text]. In this paper, we show that for every LCP manifold [Formula: see text], there exists a metric [Formula: see text] such that the Lee form of [Formula: see text] with respect to [Formula: see text] vanishes on vectors tangent to the distribution on [Formula: see text] defined by the flat factor [Formula: see text], and use this fact in order to construct new LCP structures from a given one by taking products. We also establish links between LCP manifolds and number field theory, and use them in order to construct large classes of examples, containing all previously known examples of LCP manifolds constructed by Matveev–Nikolayevsky, Kourganoff and Oeljeklaus–Toma (OT-manifolds).
Induced polar perturbations with stochastic effects in dense matter relativistic stars: A theoretical probe at intermediate sub-hydro mesoscopic scales
Authors: Satin Seema
Published: February 2024

A linear response relation between metric and fluid perturbations driven by a background internal noise source is used as a framework for addressing stochastic effects in order to establish a mesoscopic theory for dense matter relativistic stars. In this paper, nonradial polar perturbations are worked out, which are important from the point of view of detection in future. We present qualitative first results in this paper, numerical estimates have to await further progress in theoretical modeling. These perturbations carry a new generalized stochastic nature and are obtained as solutions of the classical Einstein–Langevin equation which has been recently proposed. The significance of these stochastic nonradial polar perturbations lies at probing the intermediate sub-hydro scales inside the dense fluid. This formalism extends towards a mesoscopic scale nonequilibrium/near-equilibrium statistical mechanics study for relativistic star interiors. The generalized stochastic noise originates as the remnant of collapse mechanism and dynamical effects at intermediate scales in isolated massive stars which drives these polar perturbations. More specifically, for cold dense matter which is our focus in this paper, it is either the interplay between the degeneracy pressure and the gravitational pressure, or the multiscale phenomena like turbulences giving rise to the seeds of stochastic effects in the gravitating body. Characterizing such stochastic effects can lead to an improved understanding of the nature of dense matter and help to probe multiple scales which are yet untouched.
An empirical formula for the half-lives of one- and two-proton radioactivity
Authors: Saeed Abdulla N. P. , Rajan M. K. Preethi , Biju R. K.
Published: February 2024

We have proposed an empirical formula for one- and two-proton decays, including the angular momentum term. While investigating the first term in the Viola–Seaborg formula, we found a linear relationship between the logarithmic half-life and the expression [Formula: see text] for each angular momentum state. Furthermore, we obtained a linear relationship between the slope and intercept as functions of the angular momentum (l). Using these relations, we proposed a generalized empirical formula for the half-lives of one- and two-proton radioactivity for all angular momentum states. We analyzed the accuracy of the formula predictions by computing the standard deviation between the predicted and experimental decay half-lives. For the decay of one proton, the standard deviation of the proposed formula is 0.389, while that of the generalized formula is 0.400. These values represent the lowest standard deviations compared to previous models and the empirical formula. In the case of two-proton decay, the standard deviation for the current formula is 1.31, and the generalized formula also exhibits a lower standard deviation of 1.32. This lowest standard deviation value indicates that the proposed formula is suitable for reproducing the experimental half-life. We extended the half-life predictions to another 207 nuclei for one-proton decay and 42 nuclei for two-proton decay cases, which are energetically possible. The estimated half-lives for both one- and two-proton decays agree well with other theoretical predictions.
A fractional approach to cluster radioactivity
Authors: Yörük Ezgi , Çalık Abdullah Engin , Atman Kazım Gökhan , Şirin Hüseyin
Published: February 2024

The cluster radioactivity of [Formula: see text]Ra, [Formula: see text]Ac, [Formula: see text]U, [Formula: see text]Pu, [Formula: see text]U, [Formula: see text]U and [Formula: see text]Th isotopes which emitted [Formula: see text]C, [Formula: see text]Ne, [Formula: see text]Mg, [Formula: see text]Ne, [Formula: see text]Mg, [Formula: see text]Ne, respectively, has been analyzed with the help of fractional calculus for investigating the connection between order of the fractional derivative and nuclear structure. When the neutron number of daughter nuclei is equal to magic number, order of the fractional derivative shows a maximum. It is shown that there is a relationship between the order of fractional derivative and shell effect. This order has a similar role to the preformation factor in cluster radioactivity.
Modeling and Analysis of 1:3 Internal Resonance of Suspension Bridge Under Boundary Excitations
Authors: Cheng Peng , Kang Houjun
Published: February 2024

This study investigated the nonlinear dynamic behavior of suspension bridge subjected to multi-frequency boundary excitations. Firstly, the nonlinear dynamic model of the suspension bridge subjected to multi-frequency boundary excitations is established. The in-plane vibration equations are derived based on Hamilton’s principle, taking into account the effects of geometric nonlinearity of the girder-deck and main cable as well as the stiffness of hangers. Secondly, the Galerkin method is used to solve for the frequencies and corresponding mode shape functions. Thirdly, the corresponding modulation equations are obtained based on the multiple scales method, and the 3:1 internal resonance between two symmetrical modes is analyzed. Combined with numerical analysis, the nonlinear dynamic behavior between modes of the suspension bridge is demonstrated through the frequency–response, force–response, and time history curves. The results indicate that the drift phenomenon appears when perturbing the amplitude and frequency of the different excitations, and the system exhibits intricate dynamic responses.
On the schematicness of some Ore polynomials of higher order generated by homogenous quadratic relations
Authors: Chacón Andrés , Reyes Armando
Published: February 2024

In this paper, we investigate the property of schematicness introduced by Van Oystaeyen and Willaert [F. Van Oystaeyen and L. Willaert, Grothendieck topology, coherent sheaves and Serre’s theorem for schematic algebras, J. Pure Appl. Algebra 104(1–3) (1995) 109–122] in the setting of skew Ore polynomials of higher order generated by homogenous quadratic relations defined by Golovashkin and Maksimov [A. V. Golovashkin and V. M. Maksimov, Skew Ore polynomials of higher orders generated by homogeneous quadratic relations, Russian Math. Surveys 53(2) (1998) 384–386]. We establish sufficient conditions to guarantee whether some of these algebras are schematic or not.
COMPARISON OF DIFFERENT MATERIAL CONSTITUTIVE MODELS FOR PREDICTING AORTIC BIOMECHANICAL RESPONSE AND INJURY IN BLUNT SIDE IMPACTS
Authors: MA ZHENGWEI , CHEN JIQING , DU TIANYA
Published: February 2024

Traumatic rupture of the aorta (TRA) is highly lethal in motor vehicle collisions (MVCs). Human body biomechanical models (HUBMs) show promise as useful tools for better comprehension of the mechanical response and injury mechanism of TRA. However, the prediction accuracy largely depends on its material modeling. This study investigated the performance of the isotropic elastic material constitutive model (Mat_001) and the orthotropic elastic material constitutive model (Mat_002) for predicting aortic dynamic response and injury in blunt side impacts, via simulations against vertical and oblique side impact cadaver tests with previously developed HUBM. The aortic strain response, peak intraluminal pressure, thoracic deflections and injury distributions were compared. It was found that both Mat_001 and Mat_002 could be used to model aortic tissue, but Mat_002 presented more sensitivity to blunt side impacts in terms of strain responses. The thoracic rib cage and internal organs sustained more severe injuries under the oblique left side impact (AIS 5+) than those under the vertical left side impact (AIS 4+), whereas the aortic peri-isthmus exhibited a higher TRA risk in the vertical side impact than that in the oblique side impact, with regard to the peak longitudinal strain. The TRA could result from the aorta’s sudden stretch, and the peak longitudinal strain could be regarded as a main contributing factor to it. This study enhances our understanding of the aortic material modeling and injury mechanisms.
GENERATIVE REINFORCEMENT LEARNING-BASED METHOD FOR OPTIMIZING THE MULTIPLE ACUPOINT SEQUENCE FOR ACUPUNCTURE TREATMENT OF DEPRESSIVE INSOMNIA
Authors: SU CHONG , CHEN ZIYI , MA XURI , ZHANG JINLING , RONG PEIJING
Published: February 2024

Acupuncture treatment (AT) of depressive insomnia by traditional Chinese medicine has the advantages of fewer side effects, quicker results, and lower prices compared to medication and psychological and cognitive therapy. Clinicians often select multiple acupoints, such as Bai Hui (GV20), San Yin Jiao (SP6), and Shen Men (HT7), for combined treatment in a single AT session to improve sleep quality. Since the ancient literature on AT often only records the general order of acupoints, there needs to be more discussion on the influence of the multiple acupoint sequence on the priority of efficacy for a specific disease. At the same time, determining the ranking of acupoints in-patient treatment in clinical practice is mainly dependent on the treatment experience of practitioners, and there is no transparent quantitative model or evaluation method for generating credible acupoint sequences from a small and limited scale of cases. Therefore, it is essential to explore the optimization of the order of multiple acupoints in treating depressive insomnia by Traditional Chinese Medicine acupuncture both for the symptom relief of depressive insomnia patients and for the efficient use of national health care resources. This paper proposes a reinforcement learning-based method for optimizing the acupoint sequence for depressive insomnia AT to address these issues. This paper provides a post-AT EEG signal prediction model with related interpretable models to construct a reinforcement learning framework to represent the state transfer of the AT environment and a quantitative EEG signal-based AT efficacy model to represent the reward function. Finally, 30 patients with depressive insomnia were recruited to collect EEG signals during AT for depressive insomnia, and the case data were used to quantify the efficacy of AT and to model the post-AT EEG signal prediction. The above two models were applied to optimize the acupoint sequence based on reinforcement learning. Satisfactory results were obtained, verifying the effectiveness and feasibility of the method proposed in this paper.
RESEARCH ON HUMAN POSTURE RECOGNITION METHOD BASED ON DEEP LEARNING
Authors: SHAN ZIRAN , LI ZHIPENG , SONG WENLI
Published: February 2024

The dynamic recognition of human posture has very broad application prospects in fields such as human–computer interaction and virtual reality. A new method for dynamic recognition of human posture is proposed within the theoretical framework of deep learning. In our method, historical image information of human posture, current image information of human posture, and association information between each image are included as inputs in the deep learning process. Afterwards, the input information is formed into time series information and feature series information, which are then fused by the attention mechanism module. Finally, the dynamic recognition results of human posture are obtained through convolution operation. Experimental research was conducted on the AMASS dataset, and the results showed that our method can achieve better results in dynamic recognition of human posture, with both indicators superior to the other three methods. At the same time, our method has a fast convergence speed and the loss function remains low and continuously decreases during the deep learning process.
AN EEG-BASED EMOTION RECOGNITION MODEL USING AN INTERACTION DESIGN FRAMEWORK AND DEEP LEARNING
Authors: WANG LI , GO JUNGWOOK , CHEN XIANG
Published: February 2024

This research makes significant advances in the field of emotion recognition by presenting a new generative adversarial network (GAN) model that integrates deep learning with electroencephalography (EEG). To achieve more accurate data production and real data matching, the model utilizes self-attention and residual neural networks. Additionally, this process is accomplished by substituting an autoencoder for the discriminator in the GAN, and incorporating a reconstruction loss function. We include the self-attention mechanism and residual block in the building of the model to overcome the vanishing gradient problem. This allows the model to acquire information related to emotions in a more in-depth manner, which ultimately results in an improvement in the emotion detection accuracy. The DEAP and MAHNOB-HCI datasets are chosen for the experimental validation portion of this research. These datasets are subsequently compared and analyzed with traditional deep learning methods and well-known emotion identification algorithms. Based on these findings, it is evident that the model that we propose performs exceptionally well on the emotion recognition test, which offers substantial support for studies and applications in this field. In addition, within the context of emotion detection systems, this study places particular emphasis on the crucial role that interaction design frameworks play in enhancing both the user experience and the usability of the system. By pushing the emotion recognition technology boundaries, a new paradigm for the application of deep learning in EEG emotion recognition is provided with this comprehensive research contribution.
Mechanical Behavior of Nanotwinned Cu–Ag Alloys with Solute Atomic Gradient Analysis Under the Influence of Twinning Spacing
Authors: Zhi Youran , Tang Qiaoyun , Zhang Feng , Wang Deyong
Published: February 2024

To investigate the impact of Twinning Boundary Spacing (TBS) on the mechanical characteristics and deformation behavior of nanotwinned Cu–Ag alloys with solute gradient segregation structure during nanoindentation, Voronoi’s method is utilized to create a nanotwinned Cu–Ag alloy model with solute gradient segregation structure. Then, the indentation process of the indenter pressed into the model with varying TBS is simulated using the Molecular Dynamics (MD) simulation, yielding depth-stress curves of the corresponding indenter. According to the findings, yield stresses are lower in Cu–Ag alloys with smaller twin spacing. Grain boundary activities play a governing role in the plastic deformation of the matrix during the small deformation stage, although dislocations also play a part. Grain boundaries have less of an impact on material deformation during the big deformation stage, and dislocations are primarily responsible for the matrix’s plastic deformation. The stacking faults and deformation twin are more prone to occur inside grains with higher solute-atom concentrations compared to grain boundaries with lower solute-atom concentrations.
Final size of an n-group SEIR epidemic model with nonlinear incidence rate
Authors: Lin Yi , Zang HuiPing , Liu Shengqiang
Published: February 2024

Calculation of the final infection size has become a topic of significant interest in recent years. Despite considerable progress, determining the final infection size in a heterogeneous infectious disease model with nonlinear incidence rate on short-time scales remains a challenging problem. In this paper, we investigate a heterogeneous [Formula: see text] epidemic model with nonlinear incidence rate. We establish both the existence and uniqueness of the solution regarding final size, and based on which, we are able to introduce a computational algorithm to calculate the final infection size. Furthermore, we apply our findings to study the early phase of the COVID-19 endemic in New York County and present a numerical simulation to illustrate the practical implications of our approach.
Simulation and modeling of deep adversarial probabilistic neural network-based intrusion prevention system in cloud computing for smart grid cyber physical systems
Authors: Jasmine Selvakumari Jeya I. , Ramya Devi M. , Sivaraju S. S. , Sureshseetharaman
Published: February 2024

Smart Grid Cyber Physical Systems (SG-CPS) have a substantial impact on power grid infrastructure upgrading. Nonetheless, due to the sophisticated nature of the infrastructure and the critical demand for resilient intrusion prevention systems, the task of protecting its security against data integrity attacks is a significant challenge. The simulation and assessment of security performance in SG-CPS present substantial hurdles in real-world power grid systems, owing mostly to experimental constraints. This necessitates the development of novel ways to improve distribution chain security. This research introduces a novel approach, employing a Deep Adversarial Probabilistic Neural Network (DAPNN)-based Intrusion prevention system in a cloud environment. Combining Bayesian Probabilistic Neural Networks (BEPNNs) with adversarial training and rule-based decision-making enhances precision and resilience. The major goal of this research is to detect and counteract false data injection (FDI) attacks that have the potential to compromise the integrity of power grid data. This paper proposes a novel methodology for intrusion detection in SG-CPS that combines BEPNNs with adversarial training. The addition of rule-based decision-making improves the system’s precision and resilience. The IEEE 24-bus system provides the foundation for providing data points relevant to normal operating conditions, contingency scenarios, and intentional attacks. The training procedure includes the use of a BEPNN for feature extraction, as well as the use of adversarial training approaches. The intrusion detection system has decision-making logic based on rules. The cloud infrastructure solution used in the study is Microsoft Azure. The results show that the DAPNN-based Intrusion Prevention System is effective in detecting and mitigating FDI attacks in SG-CPS. The system outperforms in terms of accuracy, precision, recall and F-measure, hence improving the security of the power grid infrastructure.
Thermosensitive In Situ Gel of Nanosized Apremilast: Development and Assessment for Rheumatoid Arthritis Treatment
Authors: Deshmukh Rohitas , Rahman Mohammad Akhlaquer , Dewangan Bhuvaneshwari , Harwansh Ranjit Kumar , Paul Swarnali Das , Kanwar Indu Lata , Garg Akash
Published: February 2024

Rheumatoid arthritis, in short called as RA, is a severe auto-immune condition characterized by thickening of the synovium joints, inflammation and soreness of joints, which subsequently destroys the articular structures. The drug used to treat RA requires the delivery of a formulation in intact form to synovial joints and release of a whole amount of medicine into synovial fluids. Apremilast is an anti-inflammatory drug used to treat arthritis, but its oral drug delivery is limited because of its low bioavailability and side effects. The nanoparticle-based in situ gel helps in prolonged formulation retention, which enables drug release within specific tissues such as cartilage and synovium. The purpose of this research is to formulate and assess the efficacy of a thermosensitive in situ gel of nanosized apremilast for managing RA. A total of nine apremilast- loaded nanoparticles in situ gels designated as F1–F9 were prepared with different ratios of Eudragit RSPO and polyvinyl alcohol using 25% w/v poloxamer 407 and poloxamer 188 as gelling agents. Among the various formulations, F5 showed a particle size of 119 nm, 80.8% EE, 27.54% DL, 37.5 ± 1.7∘C gelation temperature, 55 ± 1.0 second gelation time and 866 ± 13 cps viscosity, with a better in vitro drug release profile of 75.54% for 24 h by non-Fickian diffusion mechanism; thus, it was chosen as the most productive formulation. In an in vivo study in rats, the optimized formulation reduced inflammation at the test site. The developed nanoparticles in situ gel will be a novel carrier system for drugs used to treat RA.
Design and Implementation of Novel H-Shaped Self-Diplexing SIW Rectangular Cavity-Backed Antenna with Harmonic Suppression for Terrestrial Communications
Authors: Asaithambi Ravindiran , Kumar Rajkishor
Published: February 2024

A novel and low profile, planar, rectangular cavity-backed self-diplexing substrate integrated waveguide (SIW) antenna with H-shaped slot for dual-band wireless services was designed and demonstrated. The proposed antenna structure radiates from H-shaped slot, which is etched on top of the SIW rectangular cavity, and is excited by two separate 50 Ω microstrip feed lines. The H-shaped slot is a combination of two vertical slots and one horizontal slot; because of that the presented antenna radiates at two distinct frequency bands around 8.95 GHz and 10 GHz, simultaneously. The design methodology results show that the H-shaped slot is significantly more effective than various other slots in the proposed geometry to suppress the unwanted harmonics, attaining good impedance matching and bandwidths and achieving better isolation between these two ports. Hence, the complete design mechanism helped to achieve self-diplexing characteristics. Furthermore, a self-diplexing H-shaped SIW rectangular cavity-backed antenna was fabricated and characterized for the complete demonstration purpose and found good covenants between the simulated one. Measured results show that the presented designed has impedance bandwidths for the lower and upper frequency bands of around 2.0% (8.89–9.03 GHz) and 3.1% (10.01–10.32 GHz), respectively, and obtained maximum measured gain of 5.11 dBi and 5.41 dBi at 8.95 GHz and 10.15 GHz, respectively. The proposed self-diplexing SIW rectangular cavity-backed structure shows that front-to-back ratios (FTBRs) are more than 21 dB, and on the other side, it provides good isolation between the two ports, which is more than 20 dB.
Impact of Introducing PROMPT on Permanent Brachial Plexus Injury and Tears III°/IV° in Shoulder Dystocia: The Hanover Cohort Study
Authors: Papageorgiou Spyridon , Brodowski Lars , Huppertz Halina , Bohnhorst Bettina , Flentje Markus , von Kaisenberg Constantin
Published: February 2024

Objective. To test the hypothesis that PROMPT reduces permanent brachial plexus palsy and perineal tears. Design. A prospective/retrospective cohort study. Setting. Hanover Medical School, Germany. Population/Sample. A self‐selected population. Methods. The training period is from November 9th, 2017, until December 31st, 2019; control: January 1st, 2004, until November 8th, 2017. Main Outcome Measures. Shoulder dystocia, nonpermanent and permanent brachial plexus injuries (BPIs), perineal tears III°/IV°, manual manoeuvres, and asphyxia. Results. There was a total of 22,640 births, and shoulder dystocia increased from 48/18,031 (0.27%) to 23/4,609 (0.50%) ((p = 0.017), OR: 1.88, 95% CI: (1.14; 3.09)), whereas BPIs decreased from 7/48 (14.6%) to 1/23 (4.3%) (p = 0.261). There was 1/7 (14.2%) of permanent BPI before and 0/1 (0%) case after. Perinatal asphyxia increased from 3/48 (6.3%) to 4/23 (17.4%) (p = 0.23). However, adverse outcomes after one year were zero. McRoberts’ manoeuvre increased from 37/48 (77.1%) to 23/23 (100%) ((p = 0.013), OR: 1.62, 95% CI: (1.33; 1.98)), and internal rotation manoeuvres and manual extraction of the posterior arm from 6/48 (12.5%) to 5/23 (21.7%) (p = 0.319). Episiotomies decreased from 5,267/18,031 (29.2%) to 836/4,609 (18.1%) ((p < 0.001), OR: 0.54, 95% CI: (0.49, 0.58)), whereas perineal tears III°/IV° associated with shoulder dystocia increased from 1/48 (2.1%) to 1/23 (4.8%) (p = 0.546). Vaginal operative deliveries remained constant (6.5% vs. 7%). Conclusions. PROMPT significantly improves the management of shoulder dystocia and decreases permanent brachial plexus injuries but not perineal tears III°/IV°.
Supplemental Table 2 from The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans
Authors: Woodard Nathaniel , Butler James , Ghosh Debarchana , Green Kerry M. , Knott Cheryl L.
Published: February 2024

Supplemental Table 2 reports the State Structural Racism Index and Dimension Scores by State
Supplementary Table S3 from Sugar-Sweetened Beverages Consumption and Breast Cancer in Premenopausal and Postmenopausal Women
Authors: Garduño-Alanis Adriana , Ángeles-Llerenas Angélica , Sánchez-Zamorano Luisa María , Flores-Luna Lourdes , Flores-Aldana Mario , Torres-Mejía Gabriela
Published: February 2024

Supplementary Table S3 shows Sugar-sweetened beverages consumption and the risk of breast cancer model adjusted for kilocalories in Postmenopausalwomen.
Supplementary Table S1 from Genetic Factors and Long-term Treatment-Related Neurocognitive Deficits, Anxiety, and Depression in Childhood Leukemia Survivors: An Exome-Wide Association Study
Authors: Petrykey Kateryna , Lippé Sarah , Sultan Serge , Robaey Philippe , Drouin Simon , Affret-Bertout Laurence , Beaulieu Patrick , St-Onge Pascal , Baedke Jessica L. , Yasui Yutaka , Hudson Melissa M. , Laverdière Caroline , Sinnett Daniel , Krajinovic Maja
Published: February 2024

PLINK results for the Trail making test.
Supplementary Table S4 from Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study
Authors: Mezzacappa Catherine , Rossi Raiza , Jaffe Ariel , Taddei Tamar H. , Strazzabosco Mario
Published: February 2024

Supplementary Table S4: Correlations between individual community-level predictors of HCC incidence.
Table S4 from Correlates of Circulating Osteoprotegerin in Women with a Pathogenic or Likely Pathogenic Variant in the BRCA1 Gene
Authors: Park Sarah Sohyun , Zaman Tasnim , Kim Shana J. , Brooks Jennifer D. , Wong Andy Kin On , Lubiński Jan , Narod Steven A. , Salmena Leonardo , Kotsopoulos Joanne
Published: February 2024

Multivariable analysis of oral contraceptive use and hormone replacement therapy with OPG levels (pg/ml) stratified by menopausal status
Table S1 from Correlates of Circulating Osteoprotegerin in Women with a Pathogenic or Likely Pathogenic Variant in the BRCA1 Gene
Authors: Park Sarah Sohyun , Zaman Tasnim , Kim Shana J. , Brooks Jennifer D. , Wong Andy Kin On , Lubiński Jan , Narod Steven A. , Salmena Leonardo , Kotsopoulos Joanne
Published: February 2024

Sensitivity analysis: Multivariable analysis of selected characteristics with OPG levels (pg/ml) in all women
Supplementary Figure S4 from Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study
Authors: Mezzacappa Catherine , Rossi Raiza , Jaffe Ariel , Taddei Tamar H. , Strazzabosco Mario
Published: February 2024

Supplementary Figure S4: Correlation between average annual cases of HCC (y-axis) and proportion of adults with less than high school education (x-axis).
Supplementary Figure S1 from Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study
Authors: Mezzacappa Catherine , Rossi Raiza , Jaffe Ariel , Taddei Tamar H. , Strazzabosco Mario
Published: February 2024

Supplementary Figure S1: Correlation between average annual cases of HCC (y-axis) and proportion White race (x-axis).
Supplementary Table 1 from Evaluating the Impact of Race and Ethnicity on Health-Related Quality of Life Disparities in Patients with Esophageal Cancer: A SEER-MHOS National Database Study
Authors: Wu Trudy C. , Farrell Matthew J. , Karimi-Mostowfi Nicki , Chaballout Basil H. , Akingbemi Wisdom O. , Grogan Tristan R. , Raldow Ann C.
Published: February 2024

Multivariate Results comparing Individual Scales from the SF-36®/VR-12 in the Pre-Diagnosis Cohort
Supplementary Figure 2 from Increase in the Life Expectancy of Patients with Cancer in the United States
Authors: Devasia Theresa P. , Howlader Nadia , Dewar Ron A. , Stevens Jennifer L. , Mittu Karen , Mariotto Angela B.
Published: February 2024

Proportion of loss in expectation of life by cancer site, shown over year at diagnosis by sex and age at diagnosis.
TABLE 1 from FPFT-2216, a Novel Anti-lymphoma Compound, Induces Simultaneous Degradation of IKZF1/3 and CK1α to Activate p53 and Inhibit NFκB Signaling
Authors: Kanaoka Daiki , Yamada Mitsuo , Yokoyama Hironori , Nishino Satoko , Kunimura Naoshi , Satoyoshi Hiroshi , Wakabayashi Shota , Urabe Kazunori , Ishii Takafumi , Nakanishi Masato
Published: February 2024

IC50 values of FPFT-2216 and thalidomide derivatives against lymphoid tumor cell lines
Figure S1 from FPFT-2216, a Novel Anti-lymphoma Compound, Induces Simultaneous Degradation of IKZF1/3 and CK1α to Activate p53 and Inhibit NFκB Signaling
Authors: Kanaoka Daiki , Yamada Mitsuo , Yokoyama Hironori , Nishino Satoko , Kunimura Naoshi , Satoyoshi Hiroshi , Wakabayashi Shota , Urabe Kazunori , Ishii Takafumi , Nakanishi Masato
Published: February 2024

Figure S1 shows that FPFT-2216 activates p53 signaling pathway via CK1α degradation and enhances the anti-proliferative activity of MDM2 inhibitors.
Relato de caso de um cistadenoma seroso gigante de ovário em paciente com grande massa abdominal
Authors: Lessa Ruan Teixeira , Delgado Francesca Galvão de Moraes , Mesquita Francielle Bianca Moreira de , Cesar Marcelo Ribeiro , Avidago Enzo Amaral , Laizo Artur
Published: February 2024

Introdução: Cistos ovarianos são coleções de líquido comumente vistos em mulheres durante todo o tempo de vida. Na maioria dos casos, os cistos serão benignos e podem ser gerenciados de forma conservadora. Dentre os tumores epiteliais, os cistadenomas serosos são um dos mais comuns, correspondendo de 15 a 25% dos casos. Método: No presente estudo, foi relatada uma experiência rara obtida com paciente atendida no Hospital São Vicente de Paulo de Minas de Gerais (HSVP-MG), diagnosticada com um cisto ovariano gigante e discutido os aspectos fisiopatológicos, diagnósticos e terapêuticos do caso. Relato de caso: Paciente do sexo feminino, 42 anos, natural de Juiz de Fora - MG, foi submetida a uma cirurgia eletiva de herniorrafia umbilical no HSVP. Durante a cirurgia, no momento da incisão, identificou-se um volume na cavidade abdominal. Houve correção da hérnia e realização de uma tomografia, que constatou a massa medindo cerca de 27,7 x 19,6 x 26,2 (T x AP x L). Vinte dias depois, a paciente foi submetida à laparotomia exploradora com exérese do cisto detectado e aspiração de 13 litros de líquido do seu interior e do próprio ovário. Em seguida, foi realizada a biópsia do material colhido, que indicou ser um cistadenoma seroso, aderido à tuba e ao ovário esquerdo. Conclusão: A paciente se enquadra dentro dos casos de cistadenomas serosos, dentro da faixa etária de ocorrência para massas benignas e encontrava-se assintomática. O exame de escolha foi ultrassonografia para reconhecimento do tumor e laparotomia para melhor resolução do caso.
Utilização do secretoma como uma terapia regenerativa acelular no tratamento da pneumonia decorrente da infecção pela SARS-CoV-2 (COVID-19)
Authors: Santos Enrico Jardim Clemente , Mazzeo Angela
Published: February 2024

O campo da ciência relacionado a biologia das células-tronco tem se mostrado extremamente promissora nos últimos anos. Dentre os diversos ramos, a abordagem terapêutica que envolve as moléculas bioativas secretadas pelas células-tronco mesenquimais (CTMs) mais comumente chamado de secretoma, vem sendo alvo de especial atenção. O fato de ser uma abordagem acelular tem levado os pesquisadores a torná-la mais eficaz. Dentre os possíveis alvos estão as lesões respiratórias na qual se inclui a pneumonia característica clínica decorrente da infecção por coronavírus (CoVs). Neste trabalho abordamos o estado da arte e o potencial terapêutico do secretoma no tratamento de pacientes acometidos por pneumonia em decorrência da infecção pela SARS-CoV-2 (severa síndrome respiratória aguda derivada do coronavírus 2).
Automedicação em pacientes com odontalgia aguda durante a pandemia da COVID-19
Authors: Duarte Felipe de Souza , Freitas Leonardo Oliveira , Silva Silvio Rocha Correa da
Published: February 2024

A pandemia da COVID-19 gerou diversas mudanças nos hábitos e comportamentos da população mundial. Durante o período da pandemia, alguns serviços de atendimento médico estavam fechados e diversas pessoas evitaram ir até estabelecimentos de saúde para eventuais consultas por medo de contraírem a infecção, optando assim por se automedicarem em uma situação de dor. A automedicação é uma prática comum em situações de dores agudas. O presente estudo teve por objetivo avaliar as características e as motivações da automedicação em pacientes que apresentaram dor aguda de origem odontogênica durante o período da pandemia da COVID-19. O estudo do tipo descritivo e transversal foi realizado por meio da aplicação de um questionário digital através da plataforma “Google Forms” com 11 questões objetivas e discursivas, em um processo de amostragem aleatória. Foram analisados os seguintes parâmetros: a) os principais medicamentos utilizados por conta própria em uma situação de dor aguda; b) a quantidade e frequência de uso desses fármacos; c) possíveis reações adversas relatadas pelo uso desses medicamentos. A amostra foi composta por 111 pessoas e por meio dos resultados, inferiu-se que a prática da automedicação ocorreu em maior número em pessoas que possuem ensino superior (42,3%). A queixa principal que levou os pacientes a se automedicarem foram situações de dor de origem endodôntica (45,1%) e a maioria da amostra classificou a dor como sendo de forte intensidade (40,5%). Os principais medicamentos utilizados foram dipirona sódica, paracetamol e nimesulida. Cerca de 48% da amostra não leram a bula antes da ingestão desses fármacos e somente 5,6% deles relataram reações adversas como desconforto gástrico e sonolência. Com base nos resultados supracitados, conclui-se que a prática da automedicação foi alta durante o período observado e deve ser desencorajada por todos os profissionais da saúde, buscando o desenvolvimento de uma consciência social a respeito do tema.
Descrever para não explicar: o papel fundador de Anamorfas para a pesquisa em Poéticas Visuais
Authors: Mariotti Gilberto
Published: February 2024

Por meio da análise de seu posicionamento e de suas estratégias de inserção na Universidade, o presente artigo coloca em perspectiva o papel fundador do trabalho de mestrado Anamorfas, da Profa. Dra. Regina Silveira, em relação à pesquisa em Poéticas Visuais na ECA-USP, como referência metodológica fundante para o programa de pós-graduação em Artes Visuais e seu desenvolvimento posterior, bem como para a problematização das formas de arquivo e circulação de produção acadêmica.
Corpo, ambiente e luta: usos da terra na arte contemporânea
Authors: Simões Gabrieli Priscila
Published: February 2024

O presente artigo tem como objetivo explorar três diferentes eixos em relação ao uso de terra na arte produzida desde o segundo pós-guerra: corpo, ambiente e luta. A partir da premissa de que o empenho em fazer da terra objeto, linguagem e suporte artístico tem sido uma tendência que cruza fronteiras geográficas e culturais, é proposta uma análise centrada na agência da matéria e em diálogo com o novo materialismo.
Vanguardas, desmaterialização, tecnologias na arte: as reflexões de Walter Zanini
Authors: Jesus Eduardo de
Published: February 2024

O ensaio explora a trajetória de Walter Zanini, enfocando sua pesquisa interrompida em 2006, que buscava uma abordagem inovadora da história da arte ao considerar a influência das tecnologias na desmaterialização da obra artística. Suas escolhas revelam seu pensamento crítico e curatorial, bem como suas significativas contribuições para a arte brasileira.
Actinella gessneri Hustedt (Eunotiaceae, Bacillariophyceae), a rare and endemic species in Amazonian blackwater, Brazil
Authors: COÊLHO JOÃO MARCOS SOUZA , LEHMKUHL ELTON A. , ARAÚJO CAMILA CARIME AZEVEDO DE , LUDWIG THELMA A. V. , SILVA-LEHMKUHL ANGELA M. DA
Published: February 2024

Actinella gessneri Hustedt is a rare and poorly known Amazonian diatom species. Low records and restricted distribution to acid waters suggest that this species may be threatened with extinction. We record a new occurrence of Actinella gessneri Hustedt in Amazonian blackwaters, providing detailed images on LM and SEM, and approaching ecological aspects concerning habitat, quality water and hydrological periods.