bluuebunny/crossref_metadata_2025 huggingface dataset:
Earthquakes Reconnaissance Data Sources, a Literature Review
Authors: Contreras Mojica Diana Maria , Wilkinson Sean , James Philip
Published: October 2021

Earthquakes are one of the most catastrophic natural phenomena. After an earthquake, earthquake reconnaissance enables effective recovery by collecting building damage data and other impacts. This paper aims to identify state-of-the-art data sources for building damage assessment and provide guidance for more efficient data collection. We have reviewed 38 articles that indicate the sources used by different authors to collect data related to damage and post-disaster recovery progress after earthquakes between 2014 and 2021. The current data collection methods have been grouped into seven categories: fieldwork or ground surveys, omnidirectional imagery (OD), terrestrial laser scanning (TLS), remote sensing (RS), crowdsourcing platforms, social media (SM) and closed-circuit television videos (CCTV). The selection of a particular data source or collection technique for earthquake reconnaissance includes different criteria depending on what questions are to be answered by this data. We conclude that modern reconnaissance missions can not rely on a single data source and that different data sources should complement each other, validate collected data, or systematically quantify the damage. The recent increase in the number of crowdsourcing and SM platforms used to source earthquake reconnaissance data demonstrates that this is likely to become an increasingly important source of data.
Percutaneous Radiofrequency Ablation with or without Chemolipiodolization for Early-stage Hepatocellular Carcinoma: A Propensity Score-matched Analysis
Authors: Takaki Kota , Nakano Masahito , Fukumori Kazuta , Yano Yoichi , Zaizen Yuki , Niizeki Takashi , Kuwaki Kotaro , Fukahori Masaru , Sakaue Takahiko , Yoshimura Sohei , Nakazaki Mika , Torimura Takuji
Published: October 2021

We aimed to compare prognostic factors for overall survival (OS) following percutaneous radiofrequency ablation (PRFA) with or without chemolipiodolization (CL) for early-stage hepatocellular carcinoma (HCC) using propensity score-matched analysis. We enrolled 221 patients with early-stage HCC who received PRFA with (n = 76) or without (n = 145) CL in Saga Central Hospital between April 2004 and December 2020. No significant difference was observed in OS between PRFA with and without CL cohorts (median survival time [MST]: 5.4 vs. 4.5 years; p = 0.0806). To reduce confounding effects, 108 patients were selected using propensity score-matched analysis (n = 54 for each treatment). No significant difference was observed in OS between the cohorts (MST: 3.6 vs. 4.0 years; p = 0.5474). After stratification according to tumor size, no significant difference was observed in OS for patients with tumor size ≥20 mm between PRFA with and without CL cohorts (MST: 3.4 vs. 3.5 years; p = 0.8236). PRFA with CL was not a significant prognostic factor in both univariate and multivariate analyses (p = 0.5477 and 0.9600, respectively). Our findings suggest that PRFA with CL does not demonstrate longer prognostic effects than PRFA without CL in early-stage HCC, regardless of tumor size.
Evaluating the Death and Recovery of Lateral Line Hair Cells Following Repeated Neomycin Treatments
Authors: Venuto Alexandra , Erickson Timothy
Published: October 2021

Acute chemical ablation of lateral line hair cells is an important tool to understand lateral line-mediated behaviors in free-swimming fish larvae and adults. However, lateral line-mediated behaviors have not been described in fish larvae prior to swim bladder inflation, possibly because single doses of ototoxin do not effectively silence lateral line function at early developmental stages. To determine if ototoxins can effectively silence the lateral line during early development, we repeatedly expose zebrafish larvae to the ototoxin neomycin during a 36-hour period from 3-4 days post-fertilization (dpf). We use simultaneous transgenic and vital dye labeling of hair cells to compare 6- hour and 12-hour repeated treatment timelines and neomycin concentrations between 0–400 µM in terms of larval survival, hair cell death, regeneration, and functional recovery. Following exposure to neomycin, we find that the emergence of newly functional hair cells outpaces cellular regeneration, likely due to the maturation of ototoxin-resistant hair cells that survive treatment. Furthermore, hair cells of 4 dpf larvae exhibit faster recovery compared to 3 dpf larvae. Our data suggest that the rapid functional maturation of ototoxin-resistant hair cells limits the effectiveness of chemical-based methods to disrupt lateral line function. Furthermore, we show that repeated neomycin treatments can continually ablate lateral line hair cells between 3–4 dpf in larval zebrafish.
Super RaSE: Super Random Subspace Ensemble Classification
Authors: Zhu Jianan , Feng Yang
Published: October 2021

We propose a new ensemble classification algorithm, named Super Random Subspace Ensemble (Super RaSE), to tackle the sparse classification problem. The proposed algorithm is motivated by the Random Subspace Ensemble algorithm (RaSE). The RaSE method was shown to be a flexible framework that can be coupled with any existing base classification. However, the success of RaSE largely depends on the proper choice of the base classifier, which is unfortunately unknown to us. In this work, we show that Super RaSE avoids the need to choose a base classifier by randomly sampling a collection of classifiers together with the subspace. As a result, Super RaSE is more flexible and robust than RaSE. In addition to the vanilla Super RaSE, we also develop the iterative Super RaSE, which adaptively changes the base classifier distribution as well as the subspace distribution. We show the Super RaSE algorithm and its iterative version perform competitively for a wide range of simulated datasets and two real data examples. The new Super RaSE algorithm and its iterative version are implemented in a new version of the R package RaSEn.
Synthesis of Hydrogel Films Based on PVA, PVP, Starch and Keratin Extracted From Chicken Feathers Wastes for the Potential Biomedical Applications
Authors: Husain Mohamed Saad Bala , Al-Ashwal Basma Yahya , Gupta Arun , Sharma Swati , Reddy Venugopal Jayarama , Elhag Husam Eldin Elhag Abugabr , Soubam Triveni
Published: October 2021

The aim of this research study was to develop hydrogels samples for using in potential biomedical applications. Hydrogels consisting of different volumes of keratin, polyvinyl alcohol (PVA), Polyvinylpyrrolidone (PVP), and starch. The keratin is derived from the chicken was the primary material on the hydrogels due to attractively for the potential wound healing application. The hydrogel samples were made by using the freeze‑thawing method, and they were examined using the Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), porosity amusement, swelling ratio and keratin release kinetic models that analyzed using (zero-order, first-order Higuchi and Korsmeyer-Peppas models). These results were indicated that feather keratin could use with formulated hydrogels suitably for controlled keratin release studies .
How is the Digital Surgical Environment Evolving? The Role of Augmented Reality in Surgery and Surgical Training
Authors: Georgi Maria , Patel Sonam , Tandon Devansh , Gupta Ayush , Light Alexander , Nathan Arjun
Published: October 2021

Background Augmented reality (AR) in surgery can offer an enhanced view of reality through the superimposition of computer-generated digital images on the real environment. It allows surgeons to integrate image visualisation, improving operative efficiency, surgical outcomes, surgical training and patient education. This review aims to evaluate the current status of augmented reality in surgery, surgical training and potential future applications. Methods We performed a non-systematic review of available literature from January 2005 to August 2021 by searching PubMed, EMBASE and the Cochrane library using a combination of terms “augmented reality”, “virtual reality”, “surgery”, “simulation” and “training”. Articles considered for this review were identified by relevant search criteria including title, keywords, abstract, and full-text. Conclusions AR technologies present an exciting new trend with multiple potential applications in surgery. Intraoperative AR systems have shown promise in specialties involving fine movement of organs during surgical procedures, including Neurosurgery, Ears, Nose and Throat and Orthopaedic Surgery. AR has also exhibited the potential to enhance surgical training and improve knowledge acquisition; it can foster international collaborations via telesurgery and telepresence. In the near future, AR will likely work in symbiosis with surgeons, serving as a complex computer-human coalition which can improve patient outcomes, patient education and surgical training.
Enthalpies of Adduct Formation between Boron Trifluoride and Selected Organic Bases in Solution: Toward an Accurate Theoretical Entry to Lewis Basicity
Authors: Gal Jean-François , Maria Pierre-Charles , Yáñez Manuel , Mó Otilia
Published: October 2021

The Lewis basicity of selected organic bases, modeled by the enthalpies of adduct formation between gaseous BF3 and the bases in dichloromethane (DCM) solution, is critically examined. Although experimental enthalpies for a large number of molecules have been reported in the literature, it may be desirable to estimate missing or uncertain data for important Lewis bases. We have decided to use high-level ab initio procedures, combined with a polarized continuum solvation model, in which the solvated species are the clusters formed by specific hydrogen bonding of DCM with the Lewis base and the Lewis base/BF3 adduct. This mode of interaction with DCM corresponds to a specific solvation model (SSM). The results actually show that the enthalpy of BF3 adduct formation in DCM solution is clearly influenced by specific interactions, DCM acting as hydrogen-bonding donor (HBD) molecule in two ways: base/DCM and adduct/DCM, confirming that specific solvation is an important contribution to experimentally determined Lewis basicity scales. This analysis allows us to conclude that there are reasons to suspect some gas-phase values to be in error by more than the stated experimental uncertainty. Some experimental values in DCM solution that were uncertain because of identified reasons can be complemented by the computed values.
Crystal Nucleation and Growth in Cross-Linked Poly(ε-Caprolactone) (PCL)
Authors: Mukhametzyanov Timur , Schmelzer Jürn W.P. , Yarko Egor , Abdullin Albert , Ziganshin Marat , Sedov Igor , Schick Christoph
Published: October 2021

The crystal nucleation and overall crystallization kinetics of cross-linked poly(ε-caprolactone) was studied experimentally by fast scanning calorimetry in a wide temperature range. With an increasing degree of cross-linking, both the nucleation and crystallization half-times increase. Concurrently, the glass transition range shifts to higher temperatures. In contrast, the temperatures of the maximum nucleation and the overall crystallization rates remain the same independent of the degree of cross-linking. The cold crystallization peak temperature generally increases as a function of heating rate, reaching an asymptotic value near the temperature of the maximum growth rate. A theoretical interpretation of these results is given in terms of classical nucleation theory. In addition, it is shown that the average distance between the nearest cross-links is smaller than the estimated lamellae thickness, which indicates the inclusion of cross-links in the crystalline phase of the polymer.
Synthesis Method and Thermodynamic Characteristics of Anode Material Li3FeN2 for Application in Lithium-Ion Batteries
Authors: Popovich Anatoliy , Novikov Pavel , Aleksandrov Daniil , Pushnitsa Konstantin , Wang Qingsheng
Published: October 2021

Li3FeN2 material was synthesized by two-step solid-state method from Li3N (adiabatic camera) and FeN2 (tube furnace) powders. Phase investigation of Li3N, FeN2 and Li3FeN2 were carried out. Discharge capacity of Li3FeN2 is 343 mAh g-1, that is about 44.7% of theoretic capacity. The molar heat capacity of Li3FeN2 at constant pressure in the temperature range 298-900 K should be calculated as Cp,m = 77,831 + 0,130 × T – 6,289 × T-2, where T is absolute temperature, . Thermodynamic characteristics of Li3FeN2 were determined as next: entropy S0298 = 116.2 J mol-1 K-1, molar enthalpy of dissolution ΔdHLFN = ˗ 206,537 ± 2,8 kJ mol−1, the standard enthalpy of formation ΔfH0 = ˗ 291.331 ± 5.7 kJ mol−1, entropy S0298 = 113.2 J mol-1 K-1 (Neumann-Kopp rule) and 116.2 J mol-1 K-1 (W.Herz rule), the standard Gibbs free energy of formation ∆f G0298 = ˗276,7 kJ mol-1.
RFID Technology Serving Honey Bee Research: A Comprehensive Description of a 32-Antenna System to Study Honey Bee and Queen Behavior
Authors: Alburaki Mohamed , Madella Shayne , Corona Miguel
Published: October 2021

The fields of electronics and information technology have witnessed rapid development during the last decades, providing significant technical support to the field of biological sciences. Radio-Frequency Identification (RFID) technology has been used to automate the monitoring of animal location and behaviors in a wide range of vertebrate and invertebrate species, including social insects such as ants and honey bees (Apis mellifera L.) This technology relies on electromagnetic fields to identify and track transponders attached to objects automatically. Implementing new technologies to serve research purposes could be time-consuming and require technical expertise from entomologists and researchers. Herein, we present a detailed description on how to harness RFID technology to serve honey bee research effectively. We describe how to build and operate a 32-antenna RFID system used to monitor various honey bee behaviors such as foraging, robbing, queen and drone mating, which can be used in other social insects as well. Preliminary data related to queen nuptial flights were obtained using this unit and presented in this study. Virgin queens labeled with ~5mg transponders performed multiple (1-4) nuptial/orientation flights a day (9 am to 5 pm) ranging from 8 to 145 seconds each. Contrary to virgin queens, no hive exit was recorded for mated-queens. At full capacity, this unit can monitor up to 32 honey bee colonies concurrently and is self-sustained by a solar panel to work in remote areas. All materials, hardware and software needed to build and operate this unit are detailed in this study, offering researchers and beekeepers a practical solution and a comprehensive source of information enabling the implementation of RFID technology in their research perspective.
Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values
Authors: Karim Abdul , Su Zheng , K.West Phillip , Keon Matthew , ALS Consortium The NYGC , Shamsani Jannah , Brennan Samuel , Wong Ted , Milicevic Oggy , Teunisse Guus , Nikafshan Rad Hima , Sattar Abdul
Published: October 2021

Amyotrophic Lateral Sclerosis (ALS) is a prototypical neurodegenerative disease characterized by progressive degeneration of motor neurons to severely effect the functionality to control voluntary muscle movement. Most of the non additive genetic aberrations responsible for ALS make its molecular classification very challenging along with limited sample size, curse of dimensionality, class imbalance and noise in the data. Deep learning methods have been successful in many other related areas but have low minority class accuracy and suffer from the lack of explainailbilty when used directly with RNA expression features for ALS molecular classification. In this paper we propose a deep learning based molecular ALS classification and interpretation framework. Our framework is based on training a convolution neural network (CNN) on images obtained from converting RNA expression values into pixels based on DeepInsight similarity technique. Then we employed Shapley Additive Explanations (SHAP) to extract pixels with higher relevance to ALS classifications. These pixels were mapped back to the genes which made them up. This enabled us to classify ALS samples with high accuracy for a minority class along with identifying genes that might be playing an important role in ALS molecular classifications. Taken together with RNA expression images classified with CNN, our preliminary analysis of the genes identified by SHAP interpretation demonstrate the value of utilising Machine Learning to perform molecular classification of ALS and uncover disease-associated genes.
RNAi Crop Protection Advances
Authors: Hernández-Soto Alejandro , Chacón-Cerdas Randall
Published: October 2021

RNAi technology is a versatile, effective, safe, and eco-friendly alternative for crop protection. There is plenty of evidence of its use through Host-induced gene silencing (HIGS) and spray-induced gene silencing (SIGS) techniques to control viruses, bacteria, fungi, insects, and nematodes. As for SIGS, its most significant challenge is achieving stability and avoiding premature degradation of RNAi in the environment or during its absorption in the target organism. One alternative is the encapsulation in liposomes, virus-like particles, polyplex nanoparticles, and bio-clay, which can be obtained through the recombinant production of RNAi in vectors, transgenesis, and micro/nanoencapsulation. The materials must be safe, biodegradable, and stable in multiple chemical environments favoring the controlled release of RNAi. Most of the current research of encapsulated RNAi focuses primarily on oral delivery to control insects by silencing essential genes. The regulation of RNAi technology focuses on risk assessment from different approaches; however, this technology has positive characteristics for its use in agriculture from the economic, environmental, and human health implications. The emergence of alternatives combining RNAi gene silencing with the induction of resistance in crops by elicitation and metabolic control is expected, as well as multiple silencing and biotechnological optimization of its large-scale production.
The Era of Digital Transition in the Prism of the Existential Threat of Job Loss: Corporate Social Responsibility
Authors: Shestakova Irina G.
Published: October 2021

This article explores the question of the rate of digital progress in the context of the labor market. Specific features of the current situation are indicated: temporality of socio-technological transformations, which is becoming less and less compatible with the harmonious development of man and society; the pace at which machines acquire intelligence; total devaluation of mental labor; unresolved issue of the role of man in the world of intelligent machines; the criticality of the problem of the labor market, due to its global nature, social significance and the rate of socio-technological changes. It is emphasized that these circumstances in the short term threaten the sustainable development of the global society, whose reactions to the transformation of technological and socio-economic infrastructure are significantly lagging behind. It is concluded that there is an urgent need to strengthen social responsibility, determined by the new ethics of relations between humans and machines with AI, supplemented by the primacy of the dignity of the social role of humans. The authors point out the urgent need to revise ideas about work as the main purpose of a person and about realization in the profession as the main factor that determines the self-esteem of an individual and his social status.
Preventing Multimorbidity with Lifestyle Interventions in Sub-saharan Africa: A New Challenge for Public Health in Low and Middle Income Countries.
Authors: Alkhatib Ahmad , Nyanzi Lawrence Achilles , Mujuni Brian , Amanya Geofrey , Ibingira Charles
Published: October 2021

Objectives: Low and Middle Income Countries (LMICs) are experiencing a fast-paced epidemiological rise in clusters of non-communicable diseases (NCDs) such as diabetes and cardiovascular disease, forming an imminent rise in multimorbidity (MMD). However, preventing MMD has received little attention in LMICs, especially in Sub-Saharan African Countries. Design: Narrative review which scoped the most recent evidence in LMICs about MMD determinants and appropriated them for potential MMD prevention strategies. Methods: MMD in LMICs is affected by several determinants including increased age, female gender, environment, lower socio-economic status, obesity, and lifestyle behavious, especially poor nutrition and physical inactivity. Results: MMD public health interventions in LMICs, especially Sub-Saharan are currently impeded by local and regional economic disparity, underdeveloped healthcare systems, and concurrent prevalence of communicable diseases. However, lifestyle interventions that are targeted towards preventing highly prevalent MMD clusters, especially hypertension, diabetes and cardiovascular disease, can provide an early prevention of MMD, especially within Sub-Saharan African countries with emerging economies and socio-economic disparity. Conclusion: Future public health initiatives should consider targeted lifestyle interventions and appropriate policies and guidelines in preventing MMD in LMICs.
Brain Tumor Epidemiology: Updates from USA, UK and Australia
Authors: Chatterjee Sumit , Roy Ranjan
Published: October 2021

A brain tumor is an abnormal mass of tissue found inside the brain that consists of cells that grow and multiply without any control and unchecked by the mechanisms that regulate normal cell growth. It is one of the leading causes of death in many different regions worldwide, affecting various ages, sex, race, or ethnicities. Besides being a life-threatening condition, it can also disrupt normal brain function leading to severe cognitive morbidity. Additionally, the cost associated with active treatment and palliative care of the brain tumor most often proves to be out of reach for many people. Over the past decades, even though we have several published literature showing the epidemiology and characteristics of brain tumors, up-to-date epidemiological data is yet to be published. This review will provide comparable recent statistics regarding the incidence of brain tumors in 3 different regions; - the USA, the UK, and Australia. Also, a focus will be given to brain tumor’s key characteristics, classifications, and treatment protocol.
Closing Connectivity Gap: An Overview of Mobile Coverage Solutions for Not-Spots in Rural Zones
Authors: Cabrera-Castellanos Diego Fernando , Aragón-Zavala Alejandro , Castañón-Ávila Gerardo
Published: October 2021

Access to broadband communications in different parts of the world has become a priority for some governments and regulatory authorities around the world in recent years. Building new digital roads and pursuing a connected society includes looking for easier access to the Internet. In general, not all the areas where people congregate are fully covered, especially in rural zones, thus restricting access to data communications and bringing inequality. In the present review article, we have comprehensively surveyed the use of three platforms to deliver broadband services to such remote and low-income areas are proposed: Unmanned Aerial Vehicles (UAV), Altitude Platforms (APS), and Low-Earth Orbit (LEO) satellites. These novel strategies support the connected and accessible world hypothesis. Hence UAVs are considered a noteworthy solution since their efficient maneuverability can aboard the rural coverage issues or not-spots.
A Brief Discussion on High-Entropy Alloys vs Compositionally Complex Alloys
Authors: Saha Mainak
Published: October 2021

High-entropy alloys (HEAs) are of great interest in the field of materials science and engineering. Unlike conventional alloys, which contain a maximum of two base metals, this new category of materials consists of multi-principle elements and the possible number of alloy compositions, in case of HEAs, is outstandingly higher than that for conventional alloys. Here, a review on the high-entropy alloys, has been provided, on the issue whether the earliest definition of High- Entropy alloys, proposed in 2004[2, 4], is consistent with one of the four-component equiatomic Compositionally complex alloys exhibiting a “High-entropy” effect.
Co-toxicity of Endotoxin and Indoxyl Sulfate, Gut-Derived Bacterial Metabolites, to Vascular Endothelial Cells in Coronary Arterial Disease Accompanied by Gut Dysbiosis
Authors: Choroszy Marcin , Sobieszczanska Beata , Litwinowicz Kamil , Laczmanski Lukasz , Chmielarz Mateusz , Walczuk Urszula , Roleder Tomasz , Radziejewska Jadwiga , Wawrzyńska Magdalena
Published: October 2021

Gut dysbiosis, alongside with high-fat diet and cigarette smoking, is considered one of the factors promoting coronary arterial disease (CAD) development. The present study aimed to research whether gut dysbiosis can increase bacterial metabolites concentration in the blood of CAD patients and what impact these metabolites can exert on endothelial cells. The gut microbiome of 15 CAD patients and age-matched 15 healthy controls was analyzed by metagenome sequencing. The in vitro impact of LPS and indoxyl sulfate at concentrations present in patients sera on endothelial cells was investigated. A metagenome sequencing analysis revealed gut dysbiosis in CAD patients, further confirmed by elevated levels of LPS and indoxyl sulfate in patients sera. CAD was associated with depletion of Bacteroidetes and Alistipes. LPS and indoxyl sulfate in meager concentrations demonstrated co-toxicity to endothelial cells inducing reactive oxygen species, E-selectin, and monocyte chemoattractant protein-1 (MCP-1) production and promoting thrombogenicity of endothelial cells confirmed by monocyte adherence. The co-toxicity of LPS and indoxyl sulfate was associated with harmful effects on endothelial cells, strongly suggesting that gut dysbiosis-associated increased intestinal permeability can initiate or promote endothelial inflammation and atherosclerosis progression.
Determinants of the Intention to Buy Clothes in the Online Stores of the MiPyMe of Perú, Colombia and México
Authors: García-Salirrosas Elizabeth Emperatriz , Mejía Henao Paula Andrea , Zea Gordillo Reyna Esperanza , Olaya Molano Juan Carlos , Pajuelo Rodriguez James Aristides
Published: October 2021

With the recent coronavirus pandemic (Covid-19) online sales of clothing retail have become a necessity to survive in the market. It is for this reason that the objective of the research was to know the purchase intention of clothing by young consumers through the online channel of small and micro companies (MiPyMe) located in the countries of Mexico, Colombia and Peru. To do this, using a structural equations model, it was intended to analyze the relationships between the variables trust, satisfaction, perceived value, quality of interaction and image in the electronic context as antecedent variables of online purchase intention, in accordance with the theoretical framework. 638 surveys were applied to young consumers in Mexico, Colombia and Peru. Sociodemographic characteristics included gender, age, country, and knowledge of a MiPyMe online clothing store. The results reveal that, of the total of young people surveyed, 62.7% stated that they did not know of any online clothing store of a MiPyMe. The contrasting of the hypotheses indicates that the quality of interaction directly and positively influences perceived value, that the image directly and positively influences the satisfaction and purchase intention of the consumer of the MiPyMe of Colombia, Mexico and Peru. These results may be useful for entrepreneurs in this business sector to rethink their online business strategies, as well as for the governments of these nations to promote this sector with training and specialized technical assistance.
Engineering of Synthetic Transcriptional Switches in Yeast
Authors: Tominaga Masahiro , Kondo Akihiko , Ishii Jun
Published: October 2021

Genetic switches can be utilized for many purposes in synthetic biology including the assembly of complex genetic circuits to achieve sophisticated cellular systems and the construction of biosensors for real-time monitoring of intracellular metabolite concentrations. Although genetic switches have mainly been developed in prokaryotes to date, eukaryotic genetic switches are increasingly being reported as both rational and irrational engineering technologies mature. In this review, we describe genetic switches in yeast based on synthetic transcription factors and/or synthetic promoters. We also discuss directed evolution technologies for the rapid and robust construction of yeast genetic switches.
SARS-CoV-2 and MERS-CoV Share the Furin Site CGG-CGG Genetic Footprint
Authors: Romeu Antonio R.
Published: October 2021

At present, the polybasic furin cleavage site on the spike glycoprotein of the SARS-CoV-2 is still a missing link. Remarkably, the two arginine residues this of site are encoded by the CGG arginine codon, which is rare in Betacoronavirus proteins. Arginine dimers are common at viral furin sites, but are not CGG-CGG encoded. The question is: Is that genetic footprint, encoding arginine pairs, unique to the SARS-CoV-2? To address the issue, using Perl scripts, here I dissect in detail the NCBI Virus database in order to report the arginine dimers that exist in Betacoronavirus proteins. As main result, a set of Middle East respiratory syndrome-related coronavirus (MERS-CoV) (isolates: camel/Nigeria/NVx/2016, host: Camelus dromedarius) have the CGG-CGG encoded arginine pair in the spike protein polybasic furin cleavage site. In addition, CGG-CGG encoded arginine pairs were also found in the orf1ab polyprotein from HKU9 and HKU14 Betacoronavirus, as well as, in the nucleocapsid phosphoprotein from few SARS-CoV-2 isolates. To quantify the presence probability of CGG-CGG arginine-arginine in Betacoronavirus, a First-Order Markov Chain was defined. It is highly unlikely to find it in betacoronaviruses wildlife, but it is there. Collectively, results shed light on recombination as origin of the virus CGG-CGG arginine dimer in the S1/S2 cleavage site.
Multilayer Reflective Coatings for BEUV Lithography: A Review
Authors: Uzhoma Paul C. , Shabir Salman , Hu Huan , Okonkwo Paul C. , Penkov Oleksiy V.
Published: October 2021

The development of microelectronics is always driven by reducing transistor size and increasing integration, from the initial micron-scale to the current few nanometers. The photolithography technique for manufacturing the transistor needs to reduce the wavelength of the optical wave, from ultraviolet, deep, to the existing extreme ultraviolet light. One approach toward decreasing the working wavelength is using lithography based on beyond extreme ultraviolet radiation (BEUV) with a wavelength around 7 nm. The BEUV lithography relies on advanced reflective optics such as periodic multilayer film X-ray mirrors (PMMs). PMMs are artificial Bragg crystals having alternate layers of “light” and “heavy” materials. The periodicity of such a structure is relatively half of the working wavelength. Since a BEUV lithographical system contains at least 10 mirrors, optics’ reflectivity becomes a crucial point. The increasing of a single mirror's reflectivity by 10% will increase the system’s overall throughput by 6 times. In this work, the properties and development status of PMMs, particularly for BEUV lithography, were reviewed to gain a better understanding of their advantages and limitations. Emphasis was given to materials, design concepts, structure, deposition method, and optical characteristics of these coatings.
ATS Drug Classification by Using Whale Optimization Based Descriptors
Authors: Karri Chiranjeevi , Naidu M.S.R. , Manohar Vuppula , Suribabu Naick B. , Rameshbabu G
Published: October 2021

To improve the wrapper feature selection technique, swarm intelligence (SI) has been a preferred choice. The use of a binary whale optimization algorithm (BWOA) to handle the moleular descriptors selection problem in AMPHETAMINE-TYPE STIMULANTS (ATS) drug categorization has attracted this research. This work aims to improve the classifier's learning and prediction abilities in order to produce better classification results. BWOA are generated using S-shaped transfer functions, which are subsequently consolidated using a k-Nearest Neighbor (k-NN) classifier in the wrapper feature selection. Our goal is to see how different sigmoid transfer functions affect the significant feature selection and classification in BWOA. For performance assessment, several indicators and Wilcoxon's rank-sum test are used. The BWOA-S3 delivers performance improvements with the lowest fitness value, fast convergence, good classification accuracy, and a compact feature subset, according to experimental data. Three distinct classifiers also ratify the generalization of the best feature subset.
Fibropreventive and Antifibrotic Effects of Uncaria gambir on Rats with Pulmonary Fibrosis
Authors: Desdiani Desdiani , Rengganis Iris , Djauzi Samsuridjal , Setiyono Agus , Sadikin Mohamad , Jusman Sri Widia A. , Siregar Nuryati Chairani , Suradi Suradi , Eyanoer Putri C.
Published: October 2021

Pulmonary fibrosis causes scar tissue formation that disrupts the functioning of the lungs. Uncaria gambir (Hunter) Roxb (hereafter gambir)—a plant native to West Sumatra in Indonesia—contains flavonoid (+)-catechin and has strong antioxidant activity, and it can be used to combat pulmonary fibrosis. This random in vivo experimental study analyzed the antifibrotic effect of gambir on the lungs of rats with bleomycin-induced fibrosis. The subjects were 10 groups of 10-week-old male rats weighing around 200–250 g. All groups were terminated at the end of the seventh week or on day 50. The lungs were cleaned, and tissues were taken to analyze inflammatory cell counts and TGF-β1 levels using bronchoalveolar lavage (BAL) with ELISA; type I collagen and tissue inhibitor of metalloproteinase 1 (TIMP-1) levels using immunohistochemistry (IHC); and activation of NF-κB using ELISA and Western blot assays. The most severe histopathological characteristic based on the modified Ashcroft score was in the bleomycin group (BG), whereas the mildest was in the 262 mg/kg of bodyweight antifibrotic gambir-dosed group (AF G262). The results showed a significant difference in the BAL inflammatory cell count (p = 0.017; p < 0.05). AF G262 differed most from the other antifibrotic groups in terms of the number of inflammatory cells (0.63), TGF-β1 levels (3.80), and NF-κB levels (0.48), followed by the 131 mg/kg of bodyweight antifibrotic gambir-dosed group (AF G131), which also differed most from other antifibrotic groups in terms of NF-κB (0.48), TIMP-1 (11.74), and collagen I (14.50) levels. Western blot analysis showed that the fibropreventive and antifibrotic groups had a specific band size of p65, whereas no specific band binding existed in the control group. This study concluded that the administration of AF G262 could improve fibrosis by lysing the extracellular matrix (ECM) in rat lungs.
On the Additive and Subtractive Representation of Even Numbers from Primes
Authors: Shehu Ali , Uka Jetmira
Published: October 2021

We demonstrate a new quantitative method to the sieve of Eratosthenes, which is an alternative to the sieve of Legendre. In this method, every element of a given set is sifted out once only, and therefore, this method is free of the Mobius function and of the consequential parity barrier. Using this method, we prove that every sufficiently large even number is the sum of two primes, and that every even number is the difference of two primes in infinitely many ways.
Towards Robust Object detection in Floor Plan Images: A Data Augmentation Approach
Authors: Mishra Shashank , Hashmi Khurram Azeem , Pagani Alain , Liwicki Marcus , Stricker Didier , Afzal Muhammad Zeshan
Published: October 2021

Object detection is one of the most critical tasks in the field of Computer vision. This task comprises identifying and localizing an object in the image. Architectural floor plans represent the layout of buildings and apartments. The floor plans consist of walls, windows, stairs, and other furniture objects. While recognizing floor plan objects is straightforward for humans, automatically processing floor plans and recognizing objects is a challenging problem. In this work, we investigate the performance of the recently introduced Cascade Mask R-CNN network to solve object detection in floor plan images. Furthermore, we experimentally establish that deformable convolution works better than conventional convolutions in the proposed framework. Identifying objects in floor plan images is also challenging due to the variety of floor plans and different objects. We faced a problem in training our network because of the lack of publicly available datasets. Currently, available public datasets do not have enough images to train deep neural networks efficiently. We introduce SFPI, a novel synthetic floor plan dataset consisting of 10000 images to address this issue. Our proposed method conveniently surpasses the previous state-of-the-art results on the SESYD dataset and sets impressive baseline results on the proposed SFPI dataset. The dataset can be downloaded from SFPI Dataset Link. We believe that the novel dataset enables the researcher to enhance the research in this domain further.
Tensor Rules in the Stochastic Organization of Genomes and Genetic Stochastic Resonance in Algebraic Biology
Authors: Petoukhov Sergey V.
Published: October 2021

The article is devoted to the new results of the author, which add his previously published ones, of studying hidden rules and symmetries in structures of long single-stranded DNA sequences in eukaryotic and prokaryotic genomes. The author uses the existence of different alphabets of n-plets in DNA: the alphabet of 4 nucleotides, the alphabet of 16 douplets, the alphabet of 64 triplets, etc. Each of such DNA alphabets of n-plets can serve for constructing a text as a chain of these n-plets. Using this possibility, the author represents any long DNA nucleotide sequence as a bunch of many so-called n-texts, each of which is written on the basis of one of these alphabets of n-plets. Each of such n-texts has its individual percents of different n-plets in its genomic DNA. But it turns out that in such multi-alphabetical or multilayer presentation of each of many genomic DNA, analyzed by the author, universal rules of probabilities and symmetry exist in interrelations of its different n-texts regarding their percents of n-plets. In this study, the tensor product of matrices and vectors is used as an effective analytical tool borrowed from the arsenal of quantum mechanics. Some additions to the topic of algebra-holographic principles in genetics are also presented. Taking into account the described genomic rules of probability, the author puts also forward a concept of the important role of stochastic resonances in genetic informatics.
Combined Ketogenic Diet and Walking Exercise Interventions in Community Older Groups
Authors: Wu Jia-Ping
Published: October 2021

The ketogenic diet and walking exercise training activity are two key public health lifestyle factors. The potential of combined lifestyle factors interventions focused on getting to compliance in forced exercise. A balanced ketogenic diet and regular exercise activity is a key modifiable factor to the prevention and management of chronic diseases. Influence health across the lifespan and reduction of the risk of premature death through several biological mechanisms. Community older group’s lifestyle factors interventions contribute identity in their natural living environment. While the older health benefits of walking exercise training strategies are commonly to study, combined ketogenic diet and walking exercise interventions have induced greater benefits in community older groups.
Scrutiny of the So-Called Einstein’s Causality
Authors: Hassani Mohamed Elmansour
Published: October 2021

In the present paper, the so-called Einstein’s causality is scrutinized and proven to be an illusion, a sort of mathematical fallacy. Causality as a well-established universal principle was and is absolutely valid for subluminal, luminal and superluminal signals under any natural and/or artificial circumstances. It is also shown that conceptually special relativity theory (SRT) is inapplicable to superluminality of physical phenomena since SRThas the light speed in vacuum as an upper limiting speed in its own proper domain of applications, and also because SRT is crucially based on the concept of inertial reference frames (IRFs) which are related to each other by Lorentz transformations, that is why the relative velocity of any two IRFs must be smaller than light speed.
A Novel Noninvasive Technique for Intracranial Pressure Waveform Monitoring in Critical Care
Authors: Brasil Sérgio , Solla Davi , Nogueira Ricardo de Carvalho , Jacobsen Teixeira Manoel , Malbouisson Luiz Marcelo Sá , Paiva Silva Wellingson
Published: October 2021

We validated a new noninvasive tool (B4C) to assess intracranial pressure waveform (ICPW) morphology in a set of neurocritical patients, correlating the data with ICPW obtained from invasive catheter monitoring. Materials and Methods: Patients undergoing invasive intracranial pressure (ICP) monitoring were consecutively evaluated using the B4C sensor. Ultrasound-guided manual internal jugular vein (IJV) compression was performed to elevate ICP from the baseline. ICP values, amplitudes, and time intervals (P2/P1 ratio and time-to-peak [TTP]) between the ICP and B4C waveform peaks were analyzed. Results: Among 41 patients, the main causes for ICP monitoring included traumatic brain injury, subarachnoid hemorrhage, and stroke. Bland-Altman’s plot indicated agreement between the ICPW parameters obtained using both techniques. The strongest Pearson’s correlation for P2/P1 and TTP was observed among patients with no cranial damage (r = 0.72 and 0.85, respectively) in detriment of those who have undergone craniotomies or craniectomies. P2/P1 values of 1 were equivalent between the two techniques (area under the receiver operator curve [AUROC], 0.9) whereas B4C cut-off 1.2 was predictive of intracranial hypertension (AUROC 0.9, p < 000.1 for ICP > 20 mmHg). Conclusion: B4C provided biometric amplitude ratios correlated with ICPW variation morphology and is useful for noninvasive critical care monitoring.
HIF-alpha Activation Impacts Macrophage Function During Murine Leishmania major Infection
Authors: Bettadapura Manjunath , Roys Hayden , Bowlin Anne , Venugopal Gopinath , Washam Charity L. , Fry Lucy , Murdock Steven , Wanjala Humphrey , Byrum Stephanie D. , Weinkopff and Tiffany
Published: October 2021

Leishmanial skin lesions are characterized by inflammatory hypoxia alongside the activation of hypoxia inducible factors, HIF-1a and HIF-2a, and subsequent expression of the HIF-a target VEGF-A during Leishmania major infection. However, the factors responsible for HIF-a activation are not known. We hypothesize hypoxia and pro-inflammatory stimuli contribute to HIF-a activation during infection. RNASeq on leishmanial lesions found transcripts associated with HIF-1a signaling are induced. To determine whether hypoxia contributes to HIF-a activation, we followed the fate of myeloid cells infiltrating from the blood and into hypoxic lesions. Recruited myeloid cells experience hypoxia when they enter inflamed lesions, and the length of time in lesions increases their hypoxic signature. To determine whether pro-inflammatory stimuli in the inflamed tissue can also influence HIF-a activation, we subjected macrophages to various pro-inflammatory stimuli and measured VEGF-A. While parasites alone did not induce VEGF-A, and pro-inflammatory stimuli only modestly induce VEGF-A, HIF- stabilization increases VEGF-A during infection. HIF-a stabilization does not impact parasite entry, growth or killing. Alternatively, the absence of ARNT/HIF- signaling enhances parasite internalization. Altogether, these findings suggest HIF-a is active during infection, and while macrophage HIF-a activation promotes lymphatic remodeling through VEGF-A production, HIF-a activation does not impact parasite internalization or control.
Pathogenesis of Autoimmune Male Infertility: Juxtacrine, Paracrine and Endocrine Deregulation
Authors: Chereshnev Valeriy A. , Pichugova Svetlana V. , Beikin Yakov B. , Chereshneva Margarita V. , Iukhta Angelina I. , Stroev Yuri I. , Churilov Leonid P.
Published: October 2021

According to global data, there is a male reproductive potential decrease. Pathogenesis of male infertility often is associated with autoimmunity towards sperm antigens essential for fertilization. Antisperm autoantibodies (ASAs) have immobilizing and cytotoxic properties, impairing spermatogenesis, causing sperm agglutination, altering spermatozoa motility and acrosomal reaction, thus preventing ovum fertilization. Infertility diagnosis requires mandatory check for the ASAs. The concept of blood-testis barrier currently is re-formulated with emphasis of informational paracrine and juxtacrine effects, rather than simple anatomical separation. Aetiology of male infertility includes both autoimmune and non-autoimmune diseases, but equally develops through autoimmune links of pathogenesis. Varicocele commonly leads to infertility due to testicular ischemic damage, venous stasis, local hyperthermia, and hypoandrogenism. However, varicocelectomy can alter blood-testis barrier facilitating ASAs production as well. There are contradictory data on the role of ASAs in pathogenesis of varicocele-related infertility. Infection and inflammation both promote ASAs production due to “danger concept” mechanisms and because of antigen mimicry. Systemic pro-autoimmune influences like hyperprolactinemia, hypoandrogenism and hypothyroidism also facilitate ASAs production. Diagnostic value of various ASAs was not yet clearly attributed, and their cut-levels not agreed neither in sera nor in ejaculate. The assessment of the autoimmunity role in pathogenesis of male infertility is ambiguous.
Clinical Safety and Tolerability of A2NTX, a Novel Low Molecular Weight Neurotoxin Derived From Botulinum Toxin Subtype A2, in Comparison with Subtype A1 Toxins
Authors: Takeuchi Toshiaki , Okuno Tsuyoshi , Miyashiro Ai , Kohda Tomoko , Miyamoto Ryosuke , Izumi Yuishin , Kozaki Shunji , Kaji Ryuji
Published: October 2021

All the available botulinum type A neurotoxins for clinical uses are of A1 subtype. We developed a subtype A2 low molecular weight (150kD) neurotoxin (A2NTX), with less spread and faster entry into the motor nerve terminal than A1 in vitro and in vivo. Preliminary clinical studies showed its efficacy superior to A1 toxins. We conducted an open study exploring its safety and tolerability profile in comparison with A1LL (onabotulinumtoxinA) and low molecular weight (150kD) A1 neurotoxin (A1NTX). Those who had been using A1LL (n=90; 50-360 mouse LD50 units) or A1NTX (n=30; 50-580 units) were switched to A2NTX (n=120; 25-600 units) from 2010 till 2018 (number of sessions ~ 27, cumulative doses ~11,640 units per patient). Adverse events for A2NTX included weakness (n=1, ascribed to alcoholic polyneuropathy), dysphagia (1), local weakness (4), spread to other muscles (1), whereas those for A1LL or A1NTX comprised weakness (n=2, A1NTX), dysphagia (8), ptosis (6), local weakness (7) and spread to other muscles (15). After injections, 89 out of 120 patients preferred A2NTX to A1 for the successive sessions. The present study demonstrated that A2NTX had the clinical safety up to the dose of 500 units, and was well tolerated compared to A1 toxins.