bluuebunny/crossref_metadata_2025 huggingface dataset:
Earthquake Footprints for Predicting Events
Authors: Greer Kieran
Published: August 2023

This paper considers the problem of predicting earthquakes. It uses a small amount of information to create a descriptive key that can be used as a footprint to describe an event. A frequency grid clusters events that occurred at the same time and then the algorithm averages the history of these events over preceding days, in particular the gaps when the events did not occur. The gaps are measured for the clustered events only and can be used to create a description that is quite unique. Results suggest that seismic events can in fact be traced using this key and subsequently recognised again, if the same conditions reoccur. They also suggest that force direction may be more important than magnitude, after the initial cluster selections are made. Greek and USA datasets have been looked at and the prediction accuracy can be 70% or better. The author therefore suggests that this is an interesting method that deserves attention.
Tachyonic Neutrinos: From the Cosmic Rays to Extragalactic Supernovae
Authors: Ehrlich Robert
Published: August 2023

The question of whether some neutrinos are tachyons remains unresolved although various evidence from cosmic ray and other data exists that the electron neutrino has an effective $m_\nu^2\approx -0.25 eV^2,$ which would require that one or more mass states is also tachyonic. In 2013 the $3+3$ model of the neutrino masses, which includes one tachyonic mass state, was proposed based on supernova SN 1987A neutrino data. Here we update evidence for tachyonic electron neutrinos and the $3+3$ model and discuss one test which could prove conclusive. The update of earlier evidence includes many new elements, including new data which makes the earlier cosmic ray evidence more robust, new results on cosmic ray composition, the ankle of the spectrum, leptonic cosmic ray data, and the statistical significance of finding the three large neutrino masses stipulated in the $3+3$ model. Barring a galactic supernova, which occur only around twice a century, a decisive test of the $3+3$ model could involve observing an extragalactic supernova neutrino burst, that is a cluster of neutrinos in a specific time window well beyond what chance would predict. Even though existing searches for such bursts have yielded only upper limits on the extragalactic supernova frequency within a certain distance, it is shown that the choice of a one-day window for possible neutrino clusters in time might be far more sensitive. A search using a one day time window could be done using existing data, and if a signal is found it would confirm the $3+3$ model. Of course, the absence of any day-long neutrino burst would not disprove the model, since it could mean only that the nearest supernova during the period when detectors were active was simply too far to be detected. Finally, apart from testing the 3 + 3 model, an alternative type of search is suggested using existing hadronic cosmic ray data (from the IceCube Collaboration) that might verify the tachyonic neutrino hypothesis.
Unraveling the Impact of Human Activities on Water Quality of an Urban River in an Unplanned Zone of the Amazonian Coast
Authors: Pereira Luci Cajueiro Carneiro , Sousa Natália do Socorro da Silva , Silva Brenda Ribeiro Padilha da , Costa Ana Lucia Biondo da , Cavalcante Francielle Raquel Baltazar , Rodrigues Laiane Maria dos Santos , Costa Rauquírio Marinho da
Published: August 2023

This study focuses on the Cereja River, a Permanent Preservation Area located in Amazon coast. The hypothesis tested was that the water quality of the Cereja River has worsened over recent years due to unplanned urban growth. To assess changes in the water quality, seven campaigns were undertaken with data being collected at six fixed points, during two distinct periods (2013–2014 and 2018–2019). High-resolution satellite images from GoogleEarth (2012 and 2019) were used to register unplanned occupation. The DPSWR (Driver-Pressure-State-Welfare-Response) socioecological framework was used to identify potential measures for the management of environmental and anthropogenic problems. The increase in the number of households found on the Cereja margins between 2012-2019 has contributed to the river’s intense trophic condition, low concentrations of dissolved oxygen, high concentrations of pathogenic bacteria, and loss of vegetation cover. The water of the Cereja River is inadequate for any human use, and its contamination is one of the principal factors determining the reduction of the water quality of the Caeté estuary. According to the obtained results, the DPSWR model proved to be an excellent analytical tool for the evaluation of specific local scenarios, through the integrated analysis of socio-environmental issues. The scenario observed can be extrapolated to other rivers located within urban areas in the Amazon region that have relatively unplanned growth.
Detailed Comparative Analysis of Structural Stability and Electron-Phonon Properties of ZrO2: Mechanism of Water Adsorption on t-ZrO2 (101) and t-YSZ (101) Surfaces
Authors: Nematov Dilshod , Burkhonzoda Amondulloi , Kholmurodov Kholmirzo , Lyubchyk Andriy I. , Lyubchyk Sergiy
Published: August 2023

The paper considers the issues of structural stability, electronic properties, and phonon dispersion of the cubic, tetragonal, and monoclinic phases of ZrO2. It was found that the monoclinic phase of zirconium dioxide is the most stable among the other two phases in terms of total energy, lowest enthalpy, highest entropy, and other thermodynamic values. The smallest negative modes were found for m-ZrO2. An analysis of the electronic properties showed that during the m–t phase transformation of ZrO2, the Fermi level first shifts by 0.125 eV towards higher energies, and then decreases by 0.08 eV in the t–c cross section. The band gap for c-ZrO2, t-ZrO2, and m-ZrO2 is 5.140 eV, 5.898 eV, and 5.288 eV, respectively. Calculations based on the analysis of the influence of doping 3.23, 6.67, 10.35 and 16.15 mol. %Y2O3 on the m-ZrO2 structure showed that the enthalpy of m-YSZ decreases linearly, which accompanies further stabilization of monoclinic ZrO2 and an increase in their defectiveness. In this case, the position of the Fermi level changes abruptly, and the energy gap decreases. It has been established that not only for pure systems, including those doped with Y2O3, the main contribution to the formation of the conduction band is made by the p-states of electrons. An analysis of the mechanism of water adsorption on the surface of t-ZrO2 (101) and t-YSZ (101) showed that H2O on unstabilized t-ZrO2 (101) is adsorbed dissociatively with an energy of -1.22 eV, as well as by the method of molecular chemisorption with an energy of -0.69 eV and the formation of a hydrogen bond with a bond length of 1.01 Å. In the case of t-YSZ (101), water is molecularly adsorbed onto the surface with an energy of -1.84 eV. Dissociative adsorption of water occurs at an energy of -1.23 eV, near the yttrium atom.
Krill Oil’s Protective Benefits against Ultraviolet B-Induced Skin Photoaging in Hairless Mice and In Vitro Experiments
Authors: Kim Jongkyu , Chun Yoon-Seok , Lee Sang-Hoon , Lee Namju , Ku Sae-kwang
Published: August 2023

Krill oil (KO) shows promise as a natural marine-derived ingredient for improving skin health. This study investigated its antioxidant, anti-inflammatory, anti-wrinkle, and moisturizing effects on skin cells and UVB-induced skin photoaging in hairless mice. In vitro assays on HDF, HaCaT, and B16/F10 cells, and in vivo experiments on 66 hairless mice, were conducted. Mice received oral KO administration (100, 200, or 400 mg/kg) once a day for 15 weeks and UVB radiation three times a week. In vitro, KO significantly countered UVB-induced oxidative stress, reduced wrinkles, and prevented skin water loss by enhancing collagen and hyaluronic synthesis. In vivo, all KO dosages showed dose-dependent inhibition of oxidative stress-induced inflammatory photoaging-related skin changes. Skin mRNA expressions for hyaluronan synthesis and collagen synthesis genes also increased dose-dependently after KO treatment. Histopathological analysis confirmed that Krill Oil (KO) ameliorated the damage caused by UVB-irradiated skin tissues. These findings suggest that KO may be a valuable intervention to mitigate UVB-induced skin photoaging and address various skin concerns.
Areas of Concern and Support among the Austrian General Population. A Qualitative Content Analytic Mapping of the Shift between Winter 2020/21 and Spring 2022
Authors: Gächter Afsaneh , Zauner Barbara , Haider Katja , Schaffler Yvonne , Probst Thomas , Pieh Christoph , Humer Elke
Published: August 2023

This study aimed to analyze areas of concern and support of the Austrian general population two years into the COVID-19 pandemic. A representative sample (N = 1,031) of the Austrian general population was surveyed online between April 19 and 26, 2022. A qualitative study design was used to explore the factors of most considerable current concern (question 1) and the most important sources of support (question 2). The responses to the two open-ended questions were evaluated using conventional content analysis and categories were formed according to the frequency of the answers. The analysis revealed that inflation and finances (30% of participants) and the war in Ukraine (22%) were the greatest sources of concern, followed by mental health (10%), and physical health (10%). Factors such as social contacts within and outside the family were mentioned most frequently as sources of support (36% of participants), followed by recreational activities (23%) and attitudes and abilities (22%). Compared to data collected at the end of the first year of the pandemic (between December 23, 2020, and January 4, 2021), concerns about one's financial situation was now mentioned more frequently (30,4% vs. 8,5%). On the other hand, different types of pandemic-related concerns were less often mentioned. Social contacts and recreation were mentioned as the most important sources of support at both time points (46% and 36% of the participants). Results suggest that the economic concerns are lagging behind the restrictions imposed by the pandemic. In addition, the impending war in Ukraine seems to have a relevant impact on mental health in Austria. Further nuanced qualitative research, particularly involving vulnerable groups like low-income individuals and the unemployed, is crucial.
A Knowledge Update of Rarely Reported Crustacean Species, Rissoides pallidus (Giesbrecht, 1910) (Stomatopoda, Squillidae), Caught in the Strait of Sicily Waters (Central Mediterranean Sea)
Authors: Sardo Giacomo , Geraci Michele Luca , Falsone Fabio , Okpala Charles Odilichukwu R. , Scannella Danilo , Titone Antonino , Vitale Sergio
Published: August 2023

The mantis shrimp Rissoides pallidus (Giesbrecht, 1910) is among the rarely reported crustacean species in the Central Mediterranean Sea. In December 2020, during a trawl survey off Mazara del Vallo harbour (Strait of Sicily), two specimens of R. pallidus were captured on coastal detritus and coastal terrigenous mud bottoms at about 132 and 152 m depths. This current note, therefore, updates the existing knowledge of R. pallidus in the Strait of Sicily. Additional information specific to biometrics, bottom types, depth preference, habitats, and geographic distribution of this crusta-cean species are provided.
Gaia BH1: A Key for Understanding the Demography of Low-q Binaries in the Milky Way Galaxy
Authors: Malkov Oleg
Published: August 2023

The recently discovered Gaia BH1 binary system,
a Sun-like star and a dark object (presumably a black hole),
may significantly change our understanding of the population of low-q binaries.
The paper presents the components mass ratio distributions of binary systems of different observational classes.
They all demonstrate a significant shortage of low-q systems.
It is shown that this shortage can be filled with the help of search and study of objects like Gaia BH1.
Seismological Problem, Seismic Waves and the Seismic Mainshock
Authors: Apostol Bogdan Felix
Published: August 2023

The elastic wave equation with the seismic tensorial force is
solved in a homogeneous and isotropic medium (the Earth).
Spherical-shell waves are obtained, which are associated to the
primary P and S seismic waves. It is shown that these waves
produce secondary waves with sources on the plane surface of a
half-space, which have the form of abrupt walls with a long tail,
propagating in the interior and on the surface of the half-space.
These secondary waves are associated to the seismic mainshock.
The results, previously reported, are re-derived by using Fourier
transformations and specific regularization procedures. The
relevance of this seismic motion for the ground motion, the
seismographs' recordings and the effect of the inhomogeneities in
the medium are discussed.
The Accuracy and Absolute Reliability of a Knee Surgery Assistance System Based on ArUco-Type Sensors
Authors: León-Muñoz Vicente J. , Santonja-Medina Fernando , Lajara-Marco Francisco , Lisón-Almagro Alonso J. , Jiménez-Olivares Jesús , Marín-Martínez Carmelo , Amor-Jiménez Salvador , Galián-Muñoz Elena , López-López Mirian , Moya-Angeler Joaquín
Published: August 2023

Background: Recent advances allow the usage of Augmented Reality (AR) for many medical procedures. We perform different AR-assisted knee surgery techniques using optical surgical navigation with ArUco-type artificial marker sensors. Our study aimed to evaluate the system’s accuracy using an in vitro protocol. We hypothesised that the system’s accuracy was equal to or less than 1mm and 1° for distance and angular measurements, respectively. Methods: Our research was an in-vitro laboratory with a 316 L steel model. We evaluated absolute reliability according to the Hopkins criteria with seven independent evaluators. Each observer measured the thirty palpation points and the trademarks to acquire direct angular measurements on three occasions separated by at least two weeks. Results: The accuracy of the system to assess distances had a mean error of 1.203mm and an un-certainty of 2.062, and for the angular values, a mean error of 0.778° and an uncertainty of 1.438. The intraclass correlation coefficient was for all intra-observer and inter-observer almost perfect or perfect. Conclusions: The mean error for the distance’s determination has been statistically larger than 1mm (1.203mm) but with a trivial effect size. The mean error assessing angular values was sta-tistically minor than 1°. Our results are similar to those published by other authors in accuracy analyses of AR systems.
Enhancing the Hydrolytic Activity of a Lipase towards Larger Triglycerides through Lid Domain Engineering
Authors: Fernandez-Lopez Laura , Roda Sergi , Robles-Martín Ana , Muñoz-Tafalla Rubén , Almendral David , Ferrer Manuel , Guallar Víctor
Published: August 2023

Lipases have tremendous potential for industrial use, particularly, those mostly active against water-insoluble substrates, such as triglycerides composed of long-chain fatty acids. However, in most cases, mutants often need to be constructed to achieve optimal performance for such substrates. Protein engineering techniques have been reported as strategies for improving lipase characteristics by introducing specific mutations in the cap domain of esterases or in the lid domain of lipases, or through lid domain swapping. Here, we have improved the lipase character of a lipase, retrieved from the Marine Metagenomics MarRef Database and assigned to the Actinoalloteichus genus (WP_075743487.1), through site-directed mutagenesis and by substituting its lid domain (FRGTEITQIKDWLTDA) by the one of Rhizopus delemar (previously Rhizopus oryzae) lipase (FRGTNSFRSAITDIVF). Results demonstrated that the redesigned mutants gain activity against bulkier triglycerides such as glyceryl tridecanoate and tridodecanoate, olive oil, coconut oil, and palm oil. The absence of a residue in the new lid, present in the original lid, appears to be a key aspect to the increase in lipase character, although full activity recovery is only obtained with lid swapping.
Innate Immune Gene Polymorphisms and COVID‐19 Prognosis
Authors: Bakaros Evangelos , Voulgaridi Ioanna , Paliatsa Vassiliki , Gatselis Nikolaos , Germanidis Georgios , Asvestopoulou Evangelia , Alexiou Stamatia , Botsfari Elli , Lygoura Vasiliki , Tsachouridou Olga , Mimtsoudis Iordanis , Tseroni Maria , Sarrou Styliani , Mouchtouri Varvara A. , Dadouli Katerina , Kalala Fani , Metallidis Simeon , Dalekos George , Hadjichristodoulou Christos , Speletas Matthaios
Published: August 2023

COVID-19 is characterized by a heterogeneous clinical presentation and prognosis. Risk factors contributing to the development of severe disease include old age and the presence of comorbidities. However, the genetic background of the host has also been recognized as an important determinant of disease prognosis. Considering the pivotal role of innate immunity in the control of SARS-CoV-2 infection, we analyzed the possible contribution of several innate immune gene polymorphisms (including TLR2-rs5743708, TLR4-rs4986790, TLR4-rs4986791, CD14-rs2569190, CARD8-rs1834481, IL18-rs2043211 and CD40-rs1883832) in disease severity and prognosis. A total of 249 individuals were enrolled and further divided into five (5) groups, according to the clinical progression scale provided by the World Health Organization (WHO) (asymptomatic, mild, moderate, severe and critical). We identified that elderly patients with obesity and/or diabetes mellitus were more susceptible to developing pneumonia and respiratory distress syndrome after SARS-CoV-2 infection, while the IL18-rs1834481 polymorphism was an independent risk factor for developing pneumonia. Moreover, individuals carrying either the TLR2-rs5743708 or the TLR4-rs4986791 polymorphisms exhibited a 3.6- and 2.5-fold increased probability for developing pneumonia and a more severe disease, respectively. Our data supports the notion that the host’s genetic background can significantly affect COVID-19 clinical phenotype, also suggesting that the IL18-rs1834481, TLR2-rs5743708 and TLR4-rs4986791 polymorphisms may be used as molecular predictors of COVID-19 clinical phenotype.
Enhancing the Fault Tolerance of a Multi-Layered IoT Network through Rectangular and Interstitial Mesh in the Gateway Layer
Authors: Jammalamadaka Sastry , CH Bhupati , Jammalamadaka Sasi Bhanu , Duvvuri Kamesh Balakrishna , Budaraju Raja Rao
Published: August 2023

Most IoT systems meant for implementing mission-critical systems are multi-layered based. The majority of the computing is done in the services and gateway layer. The Gateway layer connects the Internal section of the IoT to the cloud through the Internet. The failure of any node between the services servers and the gateways will isolate the entire network leading to zero tolerance. A networking topology is required to connect the service servers to the gateways, yielding 100% fault tolerance. Empirical formulation of the model chosen to connect the service’s servers to gateways through routers is required to compute the fault tolerance of the network. Rectangular and Interstitial Mesh have been proposed in this paper to connect the service servers to the gateways through the servers that yield 0.999 fault tolerance of the IoT network. An empirical formulation is also presented using which the Fault tolerance of the IoT network can be computed. An enhancement of 11% in the fault tolerance capability of an IoT network has been achieved by implementing Rectangular and Interstitial Mesh in the gateway layer of the network.
FPGA-based Feature Extraction and Tracking Accelerator for Real-Time Visual SLAM
Authors: Zhang Jie , Xiong Shuai , Liu Cheng , Geng Yongchao , Xiong Wei , Cheng Song , Hu Fang
Published: August 2023

Due to the advantages of low latency, low power consumption and high flexibility of FPGA-based acceleration technology, it has been more and more widely studied and applied in the field of computer vision in recent years. An FPGA-based feature extraction and tracking accelerator for real-time visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) is proposed, which can realize the complete acceleration processing capability of the image front-end and directly output the feature point ID and coordinates to the backend. The accelerator consists of image preprocessing, pyramid processing, optical flow processing, and feature extraction and tracking modules. For the first time, it implements a hardware solution that combines features from accelerated segment test (FAST) corners with Gunnar Farneback (GF) dense optical flow, to achieve better feature tracking performance and provide more flexible technical route selection. In order to solve the scale invariance and rotation invariance lacking problem of FAST features, an efficient pyramid module with a five-layer thumbnail structure is designed and implemented. The accelerator is implemented on a modern Xilinx Zynq FPGA. The evaluation result shows that the accelerator can achieve stable tracking of features of violently shaking images, and is consistent with the results of MATLAB code running on PC. When operating at 100MHz, the accelerator can process 108 frames per second for 720P images and 48 frames per second for 1080P images. Compared to PC CPUs that consume seconds of time, the processing latency is greatly reduced to the order of milliseconds, making GF dense optical flow an efficient and practical technical solution on the edge side.
Cardiovascular and Respiratory Effects of Increased Intra-abdominal Pressure with and without Dexmedetomidine in Anesthetized Dogs
Authors: Kim Dongseok , Seo Minjun , Choi Geonho , Lee Sungin , Lee Sang-Kwon , Lee Won-Jae , Yun Sung-Ho , Kwon Young-Sam , Jang Min
Published: August 2023

Intra-abdominal pressure (IAP) elevation during capnoperitoneum can cause adverse cardiovascular and respiratory effects. This study aimed to determine if a sequentially increased IAP affects cardiovascular and respiratory variables in anesthetized dogs and evaluate the effects of constant rate infusion of dexmedetomidine (Dex) on cardiovascular and respiratory variables with increased IAP. Five dogs were anesthetized, instrumented, and the Veress needle was equipped to adjust the IAP using a carbonic anhydrase insufflator. Stabilization was conducted for 1 h, and physiological variables were measured in IAPs of 0, 5, 10, 15, and 20 mmHg and after desufflation. After the washout period, the dogs underwent similar procedures along with constant rate infusion of dexmedetomidine. Cardiovascular effects of increased IAP up to 20 mmHg were not significant in healthy beagle dogs and those administered with dexmedetomidine. In the control group, the arterial pressure slightly increased, but not statistically significant, at an IAP of 20 mmHg compared with that at baseline (mean arterial blood pressure, p = 0.399; systolic arterial blood pressure, p = 0.293; diastolic arterial blood pressure, p = 0.141). When comparing the control and dexmedetomidine groups, overall significant effects of dexmedetomidine were noted on heart rate, cardiac output, and systemic vascular resistance during the experiment. Respiratory effects were not affected by abdominal insufflation when compared between different IAPs and between the two groups. Overall, an increased IAP of until 20 mmHg did not significantly affect cardiovascular and respiratory variables in both control and dexmedetomidine groups. This study suggests that dexmedetomidine infusion administration is applicable in laparoscopic procedures in healthy dogs.
Nonlinear Optical Absorption of Impurities in Hexagonal Quantum Wires: Electric and Magnetic Field Effects
Authors: Giraldo-Neira Anna Sofía , Sosa-Giraldo Tomas , Vinascos-Sánchez Juan Alejandro , Morales Aramburo Álvaro Luis , Duque Echeverri Carlos Alberto , Mora-Ramos Miguel Eduardo , Restrepo Arango Ricardo León
Published: August 2023

Intraband energy transitions of an electron in GaAs/AlGaAs hexagonal quantum well wires in the presence of external electric and magnetic fields are presented. We consider the effects of the revolve of the quantum well wires via a geometric factor that converts the quantum wires straight and symmetric with respect to the z−axis, into a curved wires that no longer has this symmetry. In addition, the influence of having a shallow donor impurity on (off) is calculated. The shape of this quantum string corresponds to the core/shell structure. The energy levels and wave functions of the electron in the heterostructure with a finite potential between the shells are calculated using the effective mass approximation and the finite element method. The calculations of the optical properties are obtained from the compact density matrix and an iterative method. The direction of the applied external fields is parallel (anti-parallel) to the z−direction. The results reveal a significant dependence of the physical properties calculated with the deformation parameter, the dimensions of the quantum well wires and the presence or not of the impurity. The electronic transitions are in a range between 4.90 meV to 41.50 meV under the effect of the electric field, this corresponds to a range of frequencies of optical responses between 1.20 to 10 THz, that is, the mid-infrared. For the magnetic field the range is between 1.24 meV to 14 meV, that is, in frequencies from 0.36 to 3.38 THz, that is, in the far-infrared.
Cervical Pessary in Preterm Birth Prevention among Singleton Pregnant Women with a Short Cervix and Obtuse Uterocervical Angle: A Quasi-experimental Study
Authors: Nguyen Thi Hoang Trang , Vu Van Tam , Nguyen Vu Quoc Huy
Published: August 2023

(1) Background: This study aimed to evaluate the role of cervical pessary for preventing preterm birth in singleton pregnant women with a cervical length (CL) ≤25 mm and a uterocervical angle (UCA) ≥95o and ≥105o. (2) Methods: A quasi-experimental study was conducted on 225 singleton pregnant women with a gestational age of 16+o-23+6 weeks and transvaginal ultrasound CL measurements ≤25 mm, whose pregnancy was man-aged at the Haiphong Hospital of Obstetrics and Gynecology, Vietnam, from September 2020 to September 2022. Participants were allocated into two groups: prophylactic treatment with progesterone (123 pregnant women) and combined with a cervical pessary (102 pregnant women). The UCAs measured via transvaginal ultrasound by a single sonographer were divided into groups with UCA measurements ≥95o and ≥105o. The gestational age at birth was classified into full-term and preterm <37 weeks and <34 weeks. A binary regression model assessed the association between CL, UCA, and pre-term birth outcomes. The difference was statistically significant, with p<0.05. (3) Results: There was no statistically significant difference in the rate of preterm birth <37 weeks and <34 weeks between the two groups (16.3% vs. 11.8% and 6.5% vs. 4.9%, p>0.05). The probability of preterm birth <37 weeks in the group of pregnant women with a UCA ≥95o treated via cervical pessary plus progesterone decreased by 60.6%, OR (95% CI) of 0.394 (0.165-0.941), p<0.05. In the group of pregnant women with a UCA ≥105o, there was a significant association in the group of progesterone treatment combined with a cervical pessary, with the lower rate of PTB <37 weeks and <34 weeks, with OR (95% CI) of 0.028 (0.005-0.146), p<0.001, and 0.141 (0.030-0.664), p<0.05, respectively. (4) Conclusion: The results of this study suggest that cervical pessary is beneficial to the prevention of preterm birth in singleton pregnant women with an obtuse uterocervical angle. Further randomized studies among pregnant women with obtuse uterocervical angles will be needed to clarify the role of a cervical pessary in preventing preterm birth.
Singular Points of the Tremor of the Earth’s Surface
Authors: Lyubushin Alexey
Published: August 2023

A method for studying properties of the earth's surface tremor, measured by means of GPS, is proposed. Four characteristics of tremor are considered: the entropy of the distribution of wavelet coefficients, the Donoho-Johnston wavelet index, and two estimates of the spectral slope. The anomalous areas of tremor are determined by estimating the probability densities of extreme values of the studied properties. The criteria for abnormal tremor behavior are based on the proximity to, or the difference between, tremor properties and white noise. The greatest deviation from the properties of white noise is characterized by entropy minima and spectral slope and DJ index maxima. This behavior of the tremor is called "active". The "passive" tremor behavior is characterized by the maximum proximity to the properties of white noise. The principal components approach provides weighted averaged density maps of these 2 variants of extreme distributions of parameters in a sliding time window of 3 years are considered. Singular points are the points of maximum average densities. The method is applied to the analysis of daily time series from a GPS network in the West USA in 2009-2022. It turned out that singular points of tremor form well-defined clusters.
Case Report: Two Case Reports of Acute Pulmonary Hypertension After mRNA COVID-19 Vaccine
Authors: Sullivan Robert D. , Shults Nataliia V. , Suzuki Yuichiro J.
Published: August 2023

Background: To our knowledge, the sudden onset of symptomatic pulmonary hypertension after COVID-19 vaccination has not been described. Both cases presented here resulted in functional limitations and likely permanent organ damage. Case Summary: We report two cases of acute onset pulmonary hypertension in previously healthy adult males within three weeks of receiving the second dose of the Pfizer (BNT162b2) mRNA COVID-19 vaccine from different lots. Both patients experienced the sudden onset of severe fatigue and dyspnea on exertion with negative COVID-19 PCR testing. The diagnosis was made by serial transthoracic echocardiography in the first case and by both transthoracic echocardiography and right heart catheterization in the second. Discussion: Pulmonary hypertension is a serious disease characterized by damage to lung vasculature and restricted blood flow through narrowed arteries from the right to left heart. The onset of symptoms is typically insidious, progressive and incurable, leading to right heart failure and premature death. The World Health Organization (WHO) classifies pulmonary hypertension into 5 categories and recently re-defined as a resting mean pulmonary artery pressure greater than 20 mmHg. Sudden onset pulmonary hypertension would only be expected in the settings of surgical pneumonectomy or massive pulmonary emboli with compromise of at least 50% of the lung vasculature.
The Appeal of the Circular Economy Revisited: On Track for Transformative Change or a Question of Moral Licensing?
Authors: Eickhoff Hans
Published: August 2023

The concept of an economy that is circular and without the need for material or energy input has an irresistible appeal to those who have recognized that planetary boundaries exist and that resources are not unlimited. Thus, in the public discourse its narrative outperforms other lines of arguments when it comes to keeping radical critics of destructive extractivism and the growth imperative in check and averting the uptake of diverging opinions by larger segments of the population and government bodies. Moreover, the myth of a circular economy has the additional benefit that it can win over parts of the environmental movement that dread radical and transformative change, particularly in the urban milieus of a middle-class that enjoys the privileges of the current social order.

In this paper I argue that the circular economy narrative tends to hinder the necessary systemic transformation while entailing a wide range of specific measures that deserve to be recognized for their merit.
The Impact of XRF Escape Process on the Energy Resolution of a NaI Scintillation Detector for Medical Imaging or Gamma-Ray Spectroscopy
Authors: Scafè Raffaele , Puccini Marco , Pellegrini Rosanna , Pani Roberto
Published: August 2023

Present work investigates, in photon energy domains of specific interest for medical imaging, the effect of the escape of X-ray fluorescence from the scintillator materials on the energy resolution of scintillation detector itself. Monolithic as well as pixelated crystals differently sized are considered, in the case of the NaI because it is the gold standard in the field. The volumetric ratio is introduced, as a figure of merit, taking into account, alongside the surface-to-volume ratio, the geometric shape, the elemental composition and also the mean-free-path for the given scintillator and energy. The inter-crystal XRF escape is finally suggested to be considered among the effects producing image blurring in segmented scintillatros due to the spread of events between the primary pixel and the first neighbors ones.
Reseek-Arrhythmia: Empirical Evaluation of Resnet Architecture for Detection of Arrhythmia
Authors: Por Lip Yee , UI Haq Shams , Ullah Bazai Sibghat , Fatima Ali , Marjan Shah , Yang Jing , Anjum Mohd , Shahab Sana , Ku Chin Soon
Published: August 2023

Arrhythmia is a cardiac condition characterized by an irregular heart rhythm that hinders the proper circulation of blood, posing a severe risk to individuals’ lives. Globally, arrhythmias are recognized as a significant health concern, accounting for nearly 12 percent of all deaths. As a result, there has been a growing focus on utilizing artificial intelligence for the detection and classification of abnormal heartbeats. In recent years, self-operated heartbeat detection research has gained popularity due to its cost-effectiveness and potential for expediting therapy for individuals at risk of arrhythmias. However, building an efficient automatic heartbeat monitoring approach for arrhythmia identification and classification comes with several significant challenges. These challenges include addressing issues related to data quality, determining the range for heart rate segmentation, managing data imbalance difficulties, handling intra- and inter-patient variations, distinguishing supraventricular irregular heartbeats from regular heartbeats, and ensuring model interpretability. In this study, we propose the Reseek-Arrhythmia model, which leverages deep learning techniques to automatically detect and classify heart arrhythmia diseases. The model combines different convolutional blocks and identity blocks, along with essential components such as convolution layers, batch normalization layers, and activation layers. To train and evaluate the model, we utilized the MIT-BIH and PTB datasets. Remarkably, the proposed model achieves outstanding performance with an accuracy of 99.35% and 93.50% and an acceptable loss of 0.688 and 0.2564, respectively.
Improving Photovoltaic MPPT Performance through PSO Dynamic Swarm Size Reduction
Authors: Baatiah Adel O. , Eltamaly Ali M. , Alotaibi Majed A.
Published: August 2023

Efficient energy extraction in photovoltaic (PV) systems relies on the effective implementation of Maximum Power Point Tracking (MPPT) methods. Conventional MPPT techniques often suffer from slow convergence speeds and suboptimal tracking performance, particularly under dynamic variation of environmental conditions. Smart optimization algorithms (SOA) using metaheuristic optimization algorithms can avoid this limitation inherent in the conventional MPPT methods. The problem of slow convergence of the SOA is avoided in this paper using a novel strategy called Swarm Size Reduction (SSR) utilized with Particle Swarm Optimization (PSO) algorithm, specifically designed to achieve short convergence time (CT) while maintaining exceptional tracking accuracy. The novelty of the proposed MPPT method introduced in this paper is the dynamic reduction of the swarm size of the PSO for improved performance of the MPPT of the PV systems. This adaptive reduction approach allows the algorithm to efficiently explore the solution space of PV systems and rapidly exploit to identify the global maximum power point (GMPP) even under fast fluctuation of uneven solar irradiance and temperature. This pioneering ultra-fast MPPT method represents a significant advancement in PV system efficiency and promotes the wider adoption of solar energy as a reliable and sustainable power source. The novel adaptive PSO algorithm also opens new possibilities for further innovations in optimization-driven applications, extending its potential impact on a diverse range of real-world challenges. The results obtained from this proposed strategy are compared with several optimization algorithms to validate its superiority.
Introducing a New Mobile Electroencephalography System and Evaluating its Quality in Comparison to Clinical Electroencephalography
Authors: Samimisabet Paria , Krieger Laura , Nethar Themis , Pipa Gordon
Published: August 2023

Electroencephalography (EEG) is a crucial tool in cognitive neuroscience, enabling the study of neurophysiological function by measuring the brain's electrical activity. Its applications are included perception, learning, memory, language, decision-making and neural network mapping. Recently, interest has surged in extending EEG measurements to domestic environments. However, the high costs associated with traditional laboratory EEG systems have hindered accessibility for many individuals and researchers in education, research, and medicine. To tackle this, a mobile-EEG device named "DreamMachine” was developed. A more affordable alternative to both lab-based EEG systems and existing mobile-EEG devices. This system boasts 24-channels, 24-bit resolution, up to 6 hours of battery life, portability and a low price. Our open-source and open-hardware approach empowers cognitive neuroscience, especially in education, learning, and research, opening doors to more accessibility. This paper introduces the DreamMachine's design and compares it with the lab-based EEG system "asalabTM" in an eyes-open and eyes-closed experiment. The Alpha band exhibited higher power in the power spectrum during eyes-closed conditions, whereas the eyes-open condition showed increased power specifically within the Delta frequency range. Our analysis confirms that the DreamMachine accurately records brain activity, meeting the necessary standards when compared to the asalabTM system.
Young Women’s Attitudes and Concerns on Pornography and Their Sexual Experiences: A Qualitative Approach
Authors: Fernández-Ruiz Mónica , López-Entrambasaguas Olga María , Martínez-Linares Jose Manuel , Granero-Molina José
Published: August 2023

This study explores female university students' attitudes and concerns toward pornography, based on their experience watching it and on sexual encounters with men. It used a qualitative descriptive design. Individual semi-structured interviews were conducted with 22 participants between March and April 2020. Thematic data analysis was performed using COREQ reporting guidelines. Three themes emerged from the data: 1) the sexual learning process, 2) the role of pornography in women’s sexuality, and 3) sexual experiences. Participants reported how they learned about sexuality and how pornography influenced sexual experiences. Self-esteem issues and societal norms regarding hair removal, and difficulty saying “no” to unwanted or humiliating sexual practices were found. Young women were not comfortable with women’s representations in mainstream pornography. They blame pornography for negative sexual experiences and claim it influences them and young men. Participants usually assumed submissive roles during sex and permitted aggressive sexual behaviors. The study reveals valuable information on how young women learn about sex, difficulty in refusing unwanted sexual activities, and even aggressive practices. Sexual education programs should include assertiveness training to improve sexual health, consent, and well-being.
Cyberattack Detection on Social Networks Messages Based on Convolutional Neural Networks and NLP Techniques
Authors: Coyac-Torres Jorge Enrique , Sidorov Grigori , Aguirre-Anaya Eleazar , Hernández-Oregón Gerardo
Published: August 2023

Social networks have captured the attention of many people worldwide. However, these services have also attracted a considerable number of malicious users whose purpose is to compromise digital assets of other members by using messages as an attack vector to execute different variants of cyberattacks against them. Therefore, this work presents an approach based on Natural Language Processing tools and a Convolutional Neural Network architecture to detect and classify, on social network messages, four types of cyberattacks, such as malware, phishing, spam, and even one whose purpose is deceiving the user into spreading malicious messages to other users, which in this work is identified as bot attacks. One notable feature of this work is that it analyzes textual content without depending on any characteristics from a specific social network, making its analysis independent from particular data sources. Finally, this work was tested on real data, demonstrating its results in two stages. The first detects the existence of any of the four cyberattacks within the message, obtaining an accuracy value of 0.91. After detecting a message as a cyberattack, the next stage is to classify it into one of the four types of cyberattack, achieving an accuracy value of 0.82.
Combination of Engineered Expression of Polysialic Acid on Transplanted Schwann Cells and in Injured Rat Spinal Cord Promotes Significant Axonal Growth and Functional Recovery
Authors: Gao Fangyou , Zhang Yi , Wu Dongsheng , Luo Juan , Gushchina Svetlana , Bo Xuenong
Published: August 2023

Providing cellular support and modifying the glial scar around the lesion are two key strategies for promoting axonal regeneration after spinal cord injury. We showed before that over-expressing polysialic acid (PSA) on Schwann cells (SCs) by lentiviral vector (LV)-mediated expression of polysialyltransferase (PST) facilitated their integration and migration in the injured spinal cord. We also showed that PSA over-expression in the injured spinal cord modified the glial scar and promoted the growth of ascending sensory axons. In this study, we combined the PST/SC transplantation with LV/PST injection in spinal cords after dorsal column transection and found the combined treatments led to faster and more profound locomotor functional recovery compared with animals receiving combined GFP/SC transplantation with LV/GFP injection. Histological examination showed significantly more injured corticospinal axons growing close to the lesion/transplant borders and into the caudal spinal cord in the PST group than in the GFP group. We also found over-expressing PSA around the lesion site did not cause allodynia and hyperalgesia in our injury model. These results demonstrate the promising therapeutic benefit of over-expressing PSA in transplanted SCs and spinal cord in promoting axonal growth and restoring motor function.
Establishment of Anti-dog PD-L1 Monoclonal Antibodies for Immunohistochemistry
Authors: Ouchida Tsunenori , Suzuki Hiroyuki , Tanaka Tomohiro , Kaneko Mika K , Kato Yukinari
Published: August 2023

Immune checkpoint blockade therapy has shown successful clinical outcomes in multiple human cancers. In dogs, several types of tumors resemble human tumors in many respects. Therefore, several groups have developed the anti-dog programmed cell death ligand 1 (dPD-L1) monoclonal antibodies (mAbs) and showed efficacy in several canine tumors. To examine the abundance of dPD-L1 in canine tumors, anti-dPD-L1 diagnostic mAbs for immunohistochemistry are required. In this study, we immunized the peptide in the dPD-L1 intracellular domain, and established anti-dPD-L1 mAbs, L1Mab-352 (mouse IgG1, kappa) and L1Mab-354 (mouse IgG1, kappa). In enzyme-linked immunosorbent assay, L1Mab-352 and L1Mab-354 showed high binding affinity to the dPD-L1 peptide, and the dissociation constants (KD) were determined as 6.9 ×10-10 M and 7.2 ×10-10 M, respectively. Furthermore, L1Mab-352 and L1Mab-354 were applicable for the detection of dPD-L1 in immunohistochemical analysis in paraffin-embedded dPD-L1-expressed cells. These results indicated that L1Mab-352 and L1Mab-354 are useful for detecting dPD-L1 in immunohistochemical analysis.
The Role of Big Five Personality Traits, Basic Psychological Need Satisfaction, and Need Frustration in Predicting Athletes' Organic Self-Talk
Authors: Karamitrou Aristea , Comoutos Nikos , Brisimis Evangelos , Latinjak Alexander T. , Hatzigeorgiadis Antonis , Theodorakis Yannis , Loules Georgios , Tzioumakis Yannis , Krommidas Charalampos
Published: August 2023

Good health and the promotion of well-being for all is the third of the 17 Global Goals included in the 2030 Agenda for Sustainable Development. Contributing to this goal, the current study aimed to examine the relationships between one kind of athletes’ well-being, namely state organic self-talk, with personality traits, and basic psychological need satisfaction and frustration within their sport. Athletes (N = 691; mean age 21.65) from a variety of individual (n = 270) and team sports (n = 421) completed a multisection questionnaire capturing the targeted variables. Three-step hierarchical regression analyses revealed that: In step 1, all personality traits were to some extent a significant predictor of athletes’ organic, spontaneous self-talk dimensions and goal-directed self-talk functions. In step 2, need satisfaction significantly contributed to all spontaneous self-talk dimensions and goal-directed self-talk functions (except for creating functional deactivated states) over and above personality. Finally, in step 3, need frustration significantly contributed to negative spontaneous self-talk dimensions, and to all goal-directed self-talk functions (except for instruction) over and above personality and need satisfaction. Overall, our results indicate the importance of personality traits as personal antecedents, and perceptions of basic psychological need satisfaction and frustration as social-environmental antecedents, in shaping athletes’ state organic self-talk.
Diatom Assemblages from the Daginsky Mud Volcano Sediments (Eastern Sakhalin) and Their Implication
Authors: Tsoy Ira , Sorochinskaya Anna
Published: August 2023

Diatom assemblages in mud volcanoes are quite rare and poorly studied. The finding of a rich diatom flora in the sediments of the Daginsky Mud Volcano (DMV), located in the tidal zone of the Nyisky Bay of the Sea of Okhotsk, is interesting for studying the conditions for the formation of host sediments in the zone of influence of various extreme factors, such as outflows of gases and water-mud mass, thermal springs, and tides, etc. For this purpose, the composition of diatoms and their concentration in DMV sediments were studied, a comparison was made with diatoms of geothermal springs of the Russian Far East associated with volcanic activity, and the stratigraphic distribution of the found extinct diatoms was analyzed, which is important for determining their source and age of mud volcano roots. Diatom assemblages from DMV sediments are mainly characterized by the predominance of Metascolioneis tumida, Paralia sulcata, Odontella aurita, Pinnunavis yarrensis, Petroneis marina, Cocconeis scutellum, and Navicula digitoradiata. They consist of diatoms of different biotopes and extinct species. The diversity and abundance of brackish water and marine species indicates the predominant influence of sea waters on the formation of DMV sediments. The diverse freshwater species were mainly introduced into sediments with river runoff, but it is likely that some of them, cosmopolitan alkaliphilic species, are inhabitants of geothermal springs. The presence of extinct species from the underlying Neogene sediments from where they were carried with gas-water-mud masses, is the most typical for diatom assemblages of the DMV.