bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic and pathophysiological substantiation of polyphenolic grape processing products’ application in the treatment of metabolic syndrome in the population of the Republic of Crimea
Authors: Shramko Iuliana , Ageeva Elizaveta , Maliy Konstantin , Repinskaya Irina , Gurtovaya Anna
Published: December 2021

Adipose tissue in abdominal obesity produces various cytokines, the most important of which is adiponectin (AN). Polymorphism of the AN receptor genes is associated with the risk of metabolic syndrome (MS) and type 2 diabetes mellitus (DM2) development. The aim of the study was to investigate the association of AN genes receptors’ polymorphism with the development of MS and DM2 in the Republic of Crimea as well as the possibility of named pathology correction with polyphenolic functional foods. The study included 100 patients with confirmed diagnosis of DM2 and MS. Genomic DNA was isolated from the whole blood of patients. Gene polymorphism amplification was performed by PCR real-time. The most common genotype of the ADIPOQ gene (rs1501299) among patients with DM2 and MS was GT polymorphism G276T. The most frequent genotypes of the ADIPOR1 gene were AC (rs2275737) – 53.3% and CT (rs2275738) - 50.0%. The most frequent combinations between ADIPOR1 and ADIPOQ genes were AC (rs2275737) /CT (rs2275738) and GT (rs1501299) – 28.6%, as well as AC (rs2275737)/CT (rs2275738) and GG (rs1501299) – 19.7%. Thus, in patients with MS and DM2 in the Republic of Crimea, associations of polymorphism of the genes of the AN receptors with the development of this pathology have been established. It is known that polyphenols of red grape varieties are epigenetic modifiers. Therefore, these products can be included in individual nutrition programs in population groups genetically predisposed to MS and DM2.
Comprehensive approach to assessing resource potential of rural territories (on the materials of the ishim district of the Tyumen region)
Authors: Evtushkova Elena , Lesnichaya Ekaterina
Published: December 2021

The article is devoted to the topical problem of rational and efficient use of rural areas. The development of rural areas depends on many factors: natural and climatic, socio-economic, environmental pollution, anthropogenic factors, etc. An integrated approach will determine the integral potential of the municipal district. Today, a comprehensive methodology is widely used in order to cover as many indicators as possible for a more detailed study of the current situation. The point score does not always reflect the required level of detail of the feature. Under the score, information is encoded that characterizes the feature to one degree or another. When using a point scale, components identical in characteristics are formed into one group. The methodology of an integrated approach to the assessment of rural areas has not been sufficiently studied, and it is also necessary to develop a set of measures to increase investment attractiveness, which will make it possible to make the right organizational and managerial decisions at the regional and local levels.
Effective low-noise technologies for the production of pile works in construction
Authors: Chernyuk Vladimir , Semenyuk Sergey , Yuskovich Vitaly
Published: December 2021

The article describes the environmental features of the production of pile works (noise, vibration), including by driving methods. They are the most unfavorable, the value of which exceeds the maximum permissible norms for noise and vibration by more than 2 times, and they are constantly growing from year to year, and this is the cause of many different diseases of people, including mental and neuralgic ones. In this regard, individual and collective methods of dealing with noise are recommended, as well as silent and low-noise methods of piling work, protected by the a.s.USSR and patents of the Republic of Belarus for inventions and utility models.
Research of the echo-impulse method of control of drilled pieces (non-destructive control)
Authors: Snezhkov Dmitry , Budrevich Neli
Published: December 2021

The results of field and computational experimental studies of the pulse echo method are presented. Typical reflectograms of bored piles are presented. The factors that complicate the interpretation of control data are noted. An analysis of the formation of the fronts of an acoustic pulse during its shock excitation is presented. Estimates of the influence of reinforcement on the estimates of the propagation velocity of an acoustic pulse are given.
Cold-formed Steel Framing of a Dairy Products Warehouse in Brest, Belarus
Authors: Stsepaniuk Vasili , Shuryn Andrei , Zhdanov Dmitry , Tsikhanchuk Pavel
Published: December 2021

The main advantages and disadvantages of cold-formed steel framed structures are discussed, and the basic principles for their analysis and design are considered. Some specific structural features of the thinwalled cold-formed steel framing of a dairy warehouse designed by Proektnauka LLC (Brest, RB), are described, and several recommendations so as to improve its structural design are given.
Investigation of causes of XCMG QY25К lorry-mounted crane accident
Authors: Verameichyk Andrei , Zheltkovich Andrei , Lugovskoy Michael , Khvisevich Vitaly , Holodar Boris
Published: December 2021

The article conducted a study of the causes of the accident of the XCMG QY25K lorry-mounted crane. Visual inspection of the emergency boom (boom in a critical condition) was carried out with the analysis of the state of the material in the broken section. The microstructure of steel in the crack zone was investigated. Chemical analysis of steel with a determination of the mass fraction of chemical elements was performed. Studies of the strength and hardness of material samples were carried out. Theoretically, the maximum tensile and compressive stresses in the section of the failed boom are determined. Comprehensive analysis of the obtained theoretical and experimental research results made it possible to establish the true cause of the accident of the lorry-mounted crane.
Applying constructional approach to second language teaching and learning
Authors: Ivanova Svetlana Viktorovna , Medvedeva Svetlana Nikolaevna
Published: December 2021

The inevitability of addressing constructional approach in modern linguodidactics is caused by the crisis in teaching practices aimed at providing students with a set of static information. The ever- and fast-changing nature of the modern system of knowledge leads to the necessity of teaching students how to search for, analyze and critically assess actual language data. The paper discusses problems and prospects of applying constructional approach in second language teaching and learning and posits an algorithm of studying construction semantics of the ‘noun + get + adjective’ construction as an example. The research methods include analysis and synthesis for identifying problems and prospects of introducing constructional approach in second language learning. A set of resultative meanings of the ‘noun + get + adjective’ construction is obtained by way of semantic clusterisation. As a result, major advantages and challenges of applying constructional approach to second language teaching and learning are established. The paper emphasizes the need for students to have a sufficient theoretical basis in language typology and corpus linguistics. The current research also offers an algorithm of construction analysis and includes a listing of key resultative meanings of the ‘noun + get + adjective’ construction and its restrictions. The results can be of certain interest for corpus linguistics and construction semantics. Prospects for the future research in this field reside in developing strategies aimed at introducing construction grammar in the learning process and cataloguing constructions within different types of languages as well as identifying dependencies between constructional patterns and types of languages.
Lexical acquisition of foreign languages by Russian native speakers
Authors: Bhatti Natalia Viktorovna , Gorbacheva Olga Aleksandrovna , Ivanova Natalia Anatolievna , Savchenko Elena Pavlovna , Kharitonova Elena Yurievna
Published: December 2021

Global situation requires fluency in more than two languages nowadays. Professionals knowing several languages and aware of the lingvo-cultural aspects of global communication are of high value in the modern world due to economic, political and social – factors. Vocabulary proficiency determines an individual’s mastery of the native or the second (third) language owing to the fact that lexical skills include understanding of semantics of language elements, their potential compatibility with other units and phonological characteristics of words in speech. The present research deals with the lexical characteristics of simultaneous English and German acquisition as L2 and L3 respectively by the senior students of linguistics department majoring in History and Culture of the Countries of the Studied Languages of the Institute of linguistics and cross-cultural communication of Moscow State Regional University. The authors explore the factors of mutual influence of lexical systems of both languages in the process of their study by Russian native speakers and evaluate the impact of the native language on L2 and L3 acquisition. Having analyzed the specifics of such polylingual learning environment the authors offer а method of teaching vocabulary to advanced students based on the primary importance of the native language in the second or third language acquisition. The experiment carried out within the scope of the survey proves the efficiency of the suggested technique.
Academic writing skills in Russian of foreign students
Authors: Klimova Yuliya Aleksandrovna , Romero Intriago Dina Ivanovna , Subbotina Irina Mikhailovna , Droga Marina Anatolievna
Published: December 2021

The article analyzes the types of exercises for foreign students in order to develop academic skills. In particular, we are talking about foreign medical students. Speaking about the current trends towards updating the content of foreign language teaching and the new requirements of individual universities for the implementation of professional training in foreign languages, we have to state that due to the novelty and multidimensional nature of the phenomenon, this problem in the conditions of domestic higher combined education has been developed only to a small extent. In the context of distance learning, it is quite difficult for foreign students of medical faculties to read the text in their specialty and extract the information necessary to solve a specific speech problem. The article deals with the peculiarities of teaching academic writing in Russian as one of the types of speech activity. Special attention is paid to the distinctive features of the written speech by students of medical specialties; several stages of work based on structural and semantic analysis of the text material are highlighted and described. The development and implementation of adapted special texts and exercises in the educational process allow foreign students to understand the content of articles, accurately determine the main and secondary information in the material, reproduce its main content using the skills of summarizing, annotating, note-taking.
National and cultural semantics of Russian anthropometaphors
Authors: Denisenko Elena Nikolaevna
Published: December 2021

The article belongs to the field of cognitive-oriented research and examines the role of humans in language and culture and the need to study their close relationships. Each culture generates certain types of anthropometaphors, and each such nomination reflects the elements of this culture. Lexical units in a figurative sense, being “universals of consciousness”, can have vivid national and cultural markings or function as globally precedent names. Anthropometaphors are an important source of not only linguistic but also historical and cultural knowledge. The article provides examples of the deconstruction of anthroponyms, filling them with the expressiveness of the appellative, and indicates the main factors in their rethinking.
Lärm und Herz-Kreislauf-Erkrankungen
Authors: Hahad Omar , Röösli Martin , Daiber Andreas , Münzel Thomas
Published: December 2021

Umgebungslärm stellt einen bedeutsamen umweltbezogenen Risikofaktor für die öffentliche Gesundheit dar. Die Europäische Umweltagentur gibt an, dass mindestens 20% der europäischen Bevölkerung schädlichen Tag-Abend-Nacht-Lärmpegeln von 55 Dezibel (dB) ausgesetzt sind, wobei die Weltgesundheitsorganisation zum Schutz der Bevölkerung, abhängig von der Lärmquelle, bis zu 10 dB tiefere Grenzwerte empfiehlt. Chronischer Lärm kann mit alltäglichen Aktivitäten und dem Schlaf interferieren und mentale sowie physiologische Stressreaktionen auslösen, die langfristig das Risiko für Herz-Kreislauf-Erkrankungen erhöhen können. Daher sind zwingend präventive Maßnahmen an der Quelle inklusive lärmreduzierender bautechnischer Veränderungen notwendig, um die Einhaltung von Lärmgrenzwerten zu gewährleisten und die Bevölkerung vor den negativen gesundheitlichen Auswirkungen des Lärms zu schützen.
Oral Hygiene Practice among 18-year-old Norwegian Adolescents Using Health Belief Model: A Cross-Sectional Study
Authors: Nasir Elwalid Fadul , Vu Johnny
Published: December 2021

Objectives The aim was to compare oral hygiene practice (brushing/flossing) among 18 years old from two regions, Hordaland County, Norway, and possible perceptional correlates using the Health Belief Model.

Materials and Methods The participants from six municipalities from the south district with high prevalence of dental caries to six municipalities from the rest of Hordaland county, with low prevalence of dental caries (control), using a web-based questionnaire. Statistical analyses: the Mann–Whitney U test was used and the t-test for independent samples. Bivariate and logistic regression analyses to examine associations.

Results A total of 416 people participated. The south district’s participants had lesser percentage brushing twice a day and flossing at least once a day, they significantly visited lesser the dental service, perceived more susceptibility to dental caries, and lower benefits of brushing/flossing compared with the controls. Girls (odds ratio [OR]: 0.34) who perceived higher severity of dental caries (OR: 1.86), higher self-identity (OR: 2.14), and lesser barriers to brushing (OR: 0.14) had higher odds to brushing twice a day compared with their counterparts. Girls (OR: 0.34) who perceived higher severity of dental caries (OR: 2.34), higher benefits (OR = 2.8), and lesser barriers to flossing (OR = 0.23) had higher odds to flossing at least once a day compared with their counterparts.

Conclusion South district’s participants significantly had some of risk factors to the recommended brushing/flossing practice compared with the control and these might help in explaining the difference in oral hygiene practice.
Role of Advanced MRI Techniques in the Quantitative Assessment of Liver Fat—A Multimodality-Based Comparative Study of Diagnostic Performance in a Tertiary Care Institute
Authors: Patil Santosh B. , Cannane Seetharaman , Poyyamoli Santhosh , Anand Rinoy R. , Kasi Venkatesh
Published: December 2021

Objective To evaluate the accuracy of noninvasive imaging methods including gray-scale ultrasound, ultrasound shear wave elastography, unenhanced computed tomography (CT), and proton density fat fraction (PDFF) on magnetic resonance imaging (MRI) using three-dimensional (3D) multiecho multipoint chemical shift–encoded spoiled gradient echo (q-DIXON) sequence in the quantification of hepatic steatosis, with proton MR spectroscopy (H1-MRS) as the reference standard in Indian population.

Methods Our study included 100 consecutive adult patients referred to the department of radiology in our hospital for imaging of liver. Fat content of liver was recorded using MRI (H1-MRS and q-DIXON), unenhanced CT (average liver attenuation [ALI] and liver attenuation index [LAI]) and ultrasonography (USG) (gray-scale grading and shear wave elastography [SWE]). Data were analyzed by linear regression and Bland–Altman analysis for each technique compared with H1-MRS. The diagnostic performances of all the methods were compared using DeLong test, for detection of mild and moderate-to-severe hepatic steatosis, separately.

Results MRI q-DIXON PDFF showed excellent correlation (r = 0.917, r2 = 0.840) and strong agreement (1.48 ±3.01) with H1-MRS-derived PDFF measurements. Unenhanced CT-based methods showed moderate correlation with modest agreement (r = −0.826, r2 = 0.681, −40.18 ± 16.05 for ALI and r = −0.858, r2 = 0.735, 13.4 ± 15.3 for LAI) whereas USG gray-scale assessment showed low correlation (weighted Kappa value 0.366) with H1-MRS PDFF. No correlation was found between USG-SWE results and PDFF measured with H1-MRS. Comparison of areas under curve (AUCs) using DeLong test revealed that MRI q-DIXON method performed the best for diagnosis of hepatic steatosis compared with rest. For moderate to severe steatosis, MRI q-DIXON and unenhanced CT-based methods had comparable diagnostic performance with AUCs not showing statistically significant differences.

Conclusion MRI q-DIXON shows strongest correlation with MRS and should be preferred for estimation of hepatic fat, especially when MRS is not available. Unenhanced CT shows limited diagnostic performance in detecting mild steatosis; however, it certainly has a role in diagnosing moderate-to-severe hepatic steatosis, such as evaluating donor candidates for living donor liver transplantation. USG, using both the traditional four-grade visual assessment and elastography in the present form, appears to have limited role in liver fat quantification.
Low Efficacy of Medication Shortage Clinical Decision Support Alerts
Authors: Benson Nicole M. , Belisle Caryn , Bates David W. , Salmasian Hojjat
Published: December 2021

Objective We examined clinical decision support (CDS) alerts designed specifically for medication shortages to characterize and assess provider behavior in response to these short-term clinical situations.

Materials and Methods We conducted a retrospective analysis of the usage of medication shortage alerts (MSAs) that included at least one alternative medication suggestion and were active for 60 or more days during the 2-year study period, January 1, 2018 to December 31, 2019, in a large health care system. We characterized ordering provider behavior in response to inpatient MSAs. We then developed a linear regression model to predict provider response to alerts using the characteristics of the ordering provider and alert frequency groupings.

Results During the study period, there were 67 MSAs in use that focused on 42 distinct medications in shortage. The MSAs suggested an average of 3.9 alternative medications. Adjusting for the different alerts, fellows (p = 0.004), residents (p = 0.03), and physician assistants (p = 0.02) were less likely to accept alerts on average compared with attending physicians. Further, female ordering clinicians (p < 0.001) were more likely to accept alerts on average compared with male ordering clinicians.

Conclusion Our findings demonstrate that providers tended to reject MSAs, even those who were sometimes flexible about their responses. The low overall acceptance rate supports the theory that alerts appearing at the time of order entry may have limited value, as they may be presented too late in the decision-making process. Though MSAs are designed to be attention-grabbing and higher impact than traditional CDS, our findings suggest that providers rarely change their clinical decisions when presented with these alerts.
Stark–Zeeman line-shape model for multi-electron radiators in hot dense plasmas subjected to large magnetic fields
Authors: Ferri Sandrine , Peyrusse Olivier , Calisti Annette
Published: December 2021

We present a Stark–Zeeman spectral line-shape model and the associated numerical code, PPPB, designed to provide fast and accurate line shapes for arbitrary atomic systems for a large range of plasma conditions. PPPB is based on the coupling of the PPP code—a Stark-broadened spectral line-shape code developed for multi-electron ion spectroscopy in hot dense plasmas—and the MASCB code developed recently to generate B-field-dependent atomic physics. The latter provides energy levels, statistical weights, and reduced matrix elements of multi-electron radiators by diagonalizing the atomic Hamiltonian that includes the well know B-dependent term. These are then used as inputs to PPP working in the standard line-broadening approach, i.e., using the quasi-static ion and impact electron approximations. The effects of ion dynamics are introduced by means of the frequency fluctuation model, and the physical model of electron broadening is based on the semi-classical impact approximation including the effects of a strong collision term, interference, and cyclotron motion. Finally, to account for polarization effects, the output profiles are calculated for a given angle of observation with respect to the direction of the magnetic field. The potential of this model is presented through Stark–Zeeman spectral line-shape calculations performed for various experimental conditions.
A study on the diffusion properties of oxygen in Al and W-doped λ-Ta2O5
Authors: Wu Xinghui , Cui Nana , Zhang Qiuhui , Wang Wenju , Xu Qixing
Published: December 2021

The formation energy of an oxygen vacancy and the diffusion barrier of an oxygen ion have a significant impact on the operating voltage and other parameters of resistive random access memory. In this research, n-type dopants and p-type dopants were, respectively, used to make comparative research on the formation energy of the oxygen vacancy and the diffusion barrier of the oxygen ion in orthorhombic λ-Ta2O5 taking first-principles methods. The band unfolding calculation results show that the donor level and acceptor level are, respectively, formed in the bandgap after the doping of W and Al. After the doping of Al, the formation energy of the oxygen vacancy decreases as the doping concentration increases. Instead, after the doping of W, the formation energy of the oxygen vacancy only undergoes an increase of 0.2 eV, and the diffusion barrier increases first and then decreases with the increase in the concentration of the doped W. After the doping of Al and W, the diffusion barriers of oxygen ions change within the ranges of 0.3–1.6 and 0.12–1.23 eV, respectively.
Simultaneous measurement of gas pressure and temperature based on Fabry–Pérot cavity cascading fiber Bragg grating
Authors: Huang Huiling , Chen Hailin , Jiang Chao , Guo Xiaoshan , Sun Simei
Published: December 2021

A novel optical fiber sensor with the ability to simultaneously measure gas pressure and temperature is proposed and experimentally demonstrated. The sensor comprises a fiber Bragg grating (FBG) and Fabry–Pérot interferometer (FPI) cascading; the FPI consists of two sections of single mode fiber splicing a short quartz capillary with a gas channel prepared by femtosecond laser micromachining that circulates the Fabry–Pérot cavity with external gas. Because the open cavity FPI is only sensitive to gas pressure and extremely less sensitive to temperature, while FBG is only sensitive to temperature and insensitive to gas pressure, an extremely simple diagonal matrix of sensitivity is obtained. The diagonal matrix elements are temperature and gas pressure sensitivity, corresponding to 0.012 nm/°C and 4.14 nm/MPa, respectively. Experimental results show that the sensor structure can realize the simultaneous measurement of gas pressure and temperature and eliminate the cross sensitivity between the gas pressure and temperature. The proposed sensor has the advantages of compact structure, simple fabrication, and convenient packaging and has a wide application prospect in the field of simultaneous measurement of gas pressure and temperature.
Optical pump assisted broadband terahertz frequency comb
Authors: Wang Kai , Yang Ning , Bai Peng , Chu Weidong , Li Yuanyuan , Wang Jian
Published: December 2021

A broadband terahertz (THz) frequency comb assisted by an optical pump in THz quantum cascade lasers (QCLs) is investigated theoretically and numerically through a Maxwell–Bloch model combined with the coupled wave theory. When an optical pump is injected into the laser cavity with dispersion, the intrinsic four-wave-mixing nonlinear process becomes not only an important elementary phase-locking mechanism during the mode proliferating process, but also the bandwidth of the frequency comb is increased and the power is amplified through the nonlinear parametric process. The relative shift between the frequency of the optical pump and the zero-dispersion frequency of THz QCLs tremendously affects the conversion efficiency of the nonlinear parametric process. The simulation results show that appropriately optical pumping could assist in generating the broadband THz frequency comb with over 1 THz and more than 80 lines, which may open many potential applications in designing and optimizing high resolution THz spectroscopy sources.
Calculated optical properties of donor molecules based on benzo[1,2-b:4,5-b′]dithiophene and its derivatives
Authors: Paternò Giuseppe M. , Farina Andrea , Scotognella Francesco
Published: December 2021

In this work, we study the light absorption properties of different novel molecules based on benzo[1,2-b:4,5-b′]dithiophene (BDT), namely, BT-2F, BTRCl, and BTTzR, which hold great promise as electron-donor materials in organic solar cells. By employing density functional theory, we study the electronic states and related transitions in these systems. Moreover, in the case of BTTzR, we observe that the addition of two and three oligothiophene chains to the central benzene ring of the BDT unit leads to both a red-shift of the existing peaks and, interestingly, the development of new blue-shifted features, an effect that permits to enhance the panchromaticity of the molecule in the visible spectral range, thus rendering these new derivatives highly appealing as light absorbers in organic solar cells.
Reproductive biology of female blue swimmer crabs in the temperate estuaries of south-eastern Australia
Authors: Nolan Samuel E. F. , Johnson Daniel D. , Hanamseth Roshan , Suthers Iain M. , Taylor Matthew D.
Published: December 2021

The blue swimmer crab (BSC, Portunus armatus) is an economically and culturally important species distributed throughout the coastal waters of the Indo-Pacific region. Reproduction of BSC is poorly understood in south-eastern Australia, a region that is experiencing substantial tropicalisation from global warming. We examined gonadal development, egg–mass relationships, and the influence of temperature on gonadal development and egg production within five different estuaries spanning ~2.5° of latitude. A negative correlation between the gonadosomatic index (GSI, an index of gonadal development and reproductive investment) and hepatosomatic index (HSI, an index of energy storage) was observed in only the final stages of ovarian development. The weight of the egg mass increased logarithmically with body mass, accounting for up to 55% of total body mass, which was significantly larger than observed in other studies. Thermal performance curves showed a peak in individual reproductive output at a mean monthly temperature of ~24°C, at which the individual egg mass weight reached a maximum and the HSI reached a minimum. Environmentally driven variation in BSC reproduction has implications for population productivity and inter-annual variation in recruitment.
Periodised Carbohydrate Intake Does Not Affect Substrate Oxidation but May Contribute to Endurance Capacity
Authors: Salokannel Meri M. , Hakulinen Oona‐Mari , Ahtiainen Juha P.
Published: December 2021

The aim of this study was to investigate whether periodising carbohydrate intake around specific training sessions will enhance endurance training adaptations.

Seventeen healthy recreationally endurance‐trained males (n = 5) and females (n = 12) (27.5 ± 5.4 years) participated in a four‐week training intervention. Participants were divided into two groups: FASTED (stayed fasted between evening high‐intensity interval training session and low‐intensity training session in the following morning) and FED (no restriction in food intake). Pre‐ and post‐testing included peak oxygen uptake (VO2peak), anaerobic capacity, and 60 min submaximal running tests. Fasted venous blood samples were drawn for the determination of triglyceride and glucose concentrations.

VO2peak increased in both FASTED (4.4 ± 3.0%, p = 0.001) and FED (4.6 ± 4.2%, p = 0.017), whereas maximal running velocity increased only in the FASTED (3.5 ± 2.7%, p = 0.002). Lactate concentrations in the anaerobic test after intervention were greater in FASTED than FED (p = 0.025‐0.041). Running time in the anaerobic test was improved in FASTED (from 64.1 ± 15.6–86.3 ± 23.2 s, p < 0.001) but not in FED (from 56.4 ± 15.2–66.9 ± 21.3 s, p = 0.099). Substrate oxidation did not change after intervention in either of the groups (p = 0.052–0.597). Heart rate was lower in the submaximal running test in FASTED (p < 0.001) but not in FED (p = 0.097).

Training with periodised carbohydrate availability does not have any effect on substrate oxidation. However, it seems to enhance the capacity to perform high‐intensity exercise.
Signatures of intrinsic decoherence and weak measurement on quantum correlations
Authors: Bhuvaneswari S , Muthuganesan R , Radha R
Published: December 2021

In this article, we consider a pair of spin-1/2 particles with squeezing coupling serving as the physical carrier of quantum information. We then examine the dynamics of quantum correlation quantified by the entanglement and measurement-induced nonlocality (MIN) under the intrinsic decoherence. The impact of intrinsic decoherence on the dynamical behaviors of quantum correlations is investigated. We show that the MIN quantities are more robust, while intrinsic decoherence cause sudden death in entanglement. Besides, we highlight the role of spin squeezing coupling and external magnetic field on quantum correlation measures. Finally, we investigate the impact of weak measurement on MIN.
2nd International Conference on Computational Intelligence and Energy Advancements (ICCIEA-2021), September 11-12, 2021 Virtual Format
Authors: Gupta Nishu , Kumar Parvesh , Pali H. S.
Published: December 2021

International Conference on Computational Intelligence and Energy Advancements (ICCIEA-2021) is a prestigious event organized with a motivation to provide an excellent platform for the academicians, researchers, engineers, industrial participants and budding students around the world to share their research findings with the global experts. The conference aimed to provide researchers and attendees with prospects for global collaboration and networking among universities and corporate organizations for promoting research. ICCIEA-2021 was conducted in virtual format owing to the pandemic situation during 11th to 12th September 2021. It involved all classes of academia having research orientation.

The conference was organized jointly by departments of ECE and ME, Vaagdevi College of Engineering and King Abdulaziz University, Rabigh, Saudi Arabia. As it was an event conducted in cyber form, the presentations were delivered using an online platform. Five different and parallel technical sessions were scheduled based upon the tracks of the articles and a Best Paper was awarded in each session. A total of 38 articles were selected for presentation after double blind peer review process. This proceeding issue compiles oral presentations that were presented by the authors and rigorously reviewed by a special committee designated by the editor team of the conference.

The organizing and editorial committee of the ICCIEA-2021 hopes you enjoy reading the articles published in this volume of the JPCS. Besides, we wish to thank all the authors and participants for providing their valuable contributions for this proceeding as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. We are confident that this issue will serve as a reference for computational intelligence, industrial automation, energy advancements and sustainable technologies in the world of scientific research, engineering and technology.

List of Organizing Committee, Steering Committee, Technical Program Committee, Industry Experts Committee, Editorial Committee, Invited Speakers, Organizing Institutions, Academic Partner are available in this pdf.
Design of Quad feed end-fire microstrip patch antenna for Airborne Systems
Authors: Gnanalakshmi V , Raaj Rahul , Suresh Kumar V
Published: December 2021

To design a quad feed end-fire microstrip patch antenna for airborne systems. Basically these type of antennas are most helpful for avoiding mid-air collisions between aircraft. The microstrip patch antenna is very small in size and it is less in weight. Due to small size and less weight, it offers an easy design and fabrication process. The microstrip patch antenna has radiating patch on one side and ground on the other side. They operate at microwave frequencies. The low profile structure of microstrip antenna offers its wide use in wireless communication. They are used as communication antenna on missiles. Traffic alert and Collision Avoidance System (TCAS) is an airborne system which is utilized to provide the service as last defense equipment for avoiding mid-air collisions between the aircraft. 1.03 GHz and 1.09 GHz are the transmitting and receiving frequencies of the existing TCAS antenna respectively. In airborne systems, low aerodynamic drag is required. FR4 epoxy is chosen as the substrate material whose dielectric constant is 4.4. 1.06GHz is chosen as the design frequency, since it is centre frequency between 1.03GHz and 1.09GHz. Microstrip patch antenna always radiates in the broadside direction which is along elevation plane. Due to metallic cap, microstrip patch antenna can also radiate in the end fire radiation which is along the azimuth plane. The ground plane must have very large dimensions than the patch. This microstrip patch antenna working at UHF (Ultra High Frequency) band is designed and their parameters like gain, directivity, return loss, VSWR (Voltage Standing Wave Ratio) and radiation pattern have been analyzed and simulated using ANSYS HFSS (High Frequency Structure Stimulator).
Performance Analysis of Linear Precoding in Downlink Based on Polynomial Expansion on Massive MIMO Systems
Authors: Thurpati Sammaiah , Mudavath Mahesh , Muthuchidambaranathan P.
Published: December 2021

The performance of linear precoding schemes in downlink Massive MIMO systems is dealt with in this paper. Linear precoding schemes are incorporated with zero-forcing (ZF) and maximum ratio transmission (MRT), truncated polynomial expansion (TPE), regularized zero force (RZF) in Downlink massive MIMO systems. Massive MIMO downlink output is evaluated with linear precoding included. This paper expresses the performance of achievable sum-rate linear precoding with variable signal-to-noise (SNR) ratio and achievable sum rate and several transmitter-receiver antennas, such as imperfect CSI, less complex processing, and inter-user interference. The transmitter has complete state information on the channel. The information narrates how a signal propagates to the receiver from the transmitter and reflects, for example, the cumulative effect of distance scattering, fading, and power decay. They show that the performance analysis of two linear precoding techniques, i.e., Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) for downlink mMIMO output network over a perfect chain. The results show the improved ZF precoding achievable sum rate compared to the MRT precoding schemes and compared the average achievable rate RZF and TPE.
A smart Agriculture Irrigation System using sensor array based IOT
Authors: Murali Kola , Sridhar B.
Published: December 2021

The role of Agriculture is important to build a nation, since more than 58% of the population in our country is dependent on agriculture that means half of the population is investing in agriculture. However, many farmers are unfamiliar with intelligent irrigation systems designed to improve the water used for their crops. The proposed system is to precisely monitor the distribution of the water to crops. This IOT based system has a distributed wireless network of soil moisture sensors to monitor soil moisture. Other sensors such as temperature, humidity, rain, IR, LDR, foot. The gateway device also processes the detector’s information and transmits the data to the farmer. An algorithm was developed using threshold values for soil moisture and nutrients, and these values were programmed into a node com-based gateway to control water for irrigation. Complete sensor data is sent to the free cloud using NODEMCU and displayed on websites and apps. This proposed work presents extensive research on irrigation systems in smart agriculture.
Aspects of programming for implementation of convolutional neural networks on multisystem HPC architectures
Authors: Pandey Sunil , Nagwani Naresh Kumar , Verma Shrish
Published: December 2021

The training of deep learning convolutional neural networks is extremely compute intensive and takes long times for completion, on all except small datasets. This is a major limitation inhibiting the widespread adoption of convolutional neural networks in real world applications despite their better image classification performance in comparison with other techniques. Multidirectional research and development efforts are therefore being pursued with the objective of boosting the computational performance of convolutional neural networks. Development of parallel and scalable deep learning convolutional neural network implementations for multisystem high performance computing architectures is important in this background. Prior analysis based on computational experiments indicates that a combination of pipeline and task parallelism results in significant convolutional neural network performance gains of up to 18 times. This paper discusses the aspects which are important from the perspective of implementation of parallel and scalable convolutional neural networks on central processing unit based multisystem high performance computing architectures including computational pipelines, convolutional neural networks, convolutional neural network pipelines, multisystem high performance computing architectures and parallel programming models.
A Novel Light Weight Approach For Identification of Psoriasis Affected Skin Lesion Using Deep Learning.
Authors: Arunkumar T R , Jayanna H S
Published: December 2021

Psoriasis is a skin disorder which affects the people physically, mentally and emotionally. It is characterized as rough elevated scaly skin which is evident from surrounding skin area. There are various types of psoriasis which include plaque psoriasis, nail psoriasis, guttate psoriasis, inverse psoriasis, pustular psoriasis, erythrodermic psoriasis and psoriatic arthritis. The common trend observed is that the people tend to face difficulties in differentiating and tracking the disorder which will worsen the situation of the affected skin. It is essential to keep track of the affected skin for the prognosis of the disorder. In this work, an attempt is made to identify the psoriasis affected area automatically using MobileNet machine learning model which will become an objective tool in accurate identification of the disorder which in turn helps in effective treatment of the disorder.
Employment of torque-hysteresis controller for DTC based induction motor drive
Authors: Borse Payai S. , Thakre Mohan P. , Shriwastava Rakesh
Published: December 2021

To acquire high enactment, Direct Torque Control (DTC) is a technique used in AC drive systems. In this paper, based on the hysteresis controller, a very simple improved DTC scheme is proposed for induction motor drive. Owing to its simple assembly & effective enactment, DTC is used for AC as well as DC drive as compared to other controlling schemes. the paper approaches mitigation of the ripples in torque by varying the predictable 3-level torque-hysteresis controller used in DTC. The expansion of distinctive switching approach has been generated for chosen voltage-vector. Based on ripple content simulation results carried out in MATLAB/SIMULINK for torque-hysteresis controller to minimize the ripples.
Development a Solar Dryer for low income group Farmers for sub cooled region
Authors: Ameta Ashutosh , Pinjara Mohammad Inayat , Dudhera Alok Kumar , Pali Harveer Singh
Published: December 2021

Solar dryer is a device that use solar energy to dry substances, especially food and agriculture product. Drying is one of the indispensable techniques for large-scale food preservation. There are already various types of solar dryer available but need a better performing solar dryer which can perform better in low sunshine hours and also in off sunshine hours. In present work combination of trapezoidal and tunnel type structured solar dryer developed for experimental trials. It showed better efficiency and effectiveness in compared to the existing solar dryers with respect to previous design available so far. After the experiments, it is found that maximum temperature rise was recorded 76°C however ambient temperature was 24 °C. At same time % reduction in weight was highly appreciable after three to four hour drying. Results of drying rates up to 50% after three hour drying. So present solar dryer is economical and potential solution to preserve the vegetables and crops to improve income of formers.
Synthesis and characterization of PEO and PVDF based polymer electrolytes with Mg(NO3)2 ionic salt as ionic conductivity improver
Authors: Ponam  , Singh Parshuram
Published: December 2021

The demand for solid polymer electrolytes is increasing continuously because of their better mechanical properties, stability, and strength while compared with liquid or gel electrolytes. However, the polymers are having poor ionic conductivity that can be improved by adding ionic salt during solid electrolyte production. Further, not all the electrolytes are compatible with polymers also the concentration of ionic salt beyond some limit not only decrease the ionic conductivity of solid electrolyte but also decrease the strength as well. In the present work, the mixture of two different polymers (10% PEO and 90% PVDF) is selected as the parent polymer for the production of solid polymer electrolytes. Mg(NO3)2 is used as ionic salt to increase the ionic conductivity and other properties of electrolytes. The concentration of Mg(NO3)2 is taken in 10%, 15%, and 20% (w%w) to the parent polymer, and the effects are analyzed on ionic conductivity. It is found that the addition of Mg(NO3)2 improves the ionic conductivity of electrolytes with a higher rate initially but the rate of increase of ionic conductivity decreases after 15%. Further, better thermal conduction and other properties are observed for the electrolyte having a 15% Mg(NO3)2 concentration. The detailed results are given in the present work.
Drying of porous materials at pore scale using lattice Boltzmann and pore network models
Authors: Zhao Jianlin , Qin Feifei , Derome Dominique , Carmeliet Jan
Published: December 2021

Drying at macroscale shows a first drying period with constant drying rate followed by second drying period showing a receding moisture front, phenomena that can be tailored upon need. In order to study the drying of materials, we present a new hybrid computational method, where the dynamics of the liquid-vapor interfaces is modelled by lattice Boltzmann modelling (LBM) in the two-phase pores, while the single-phase flow in the pores filled solely by vapor or liquid is solved by pore network model (PNM). This hybrid method is validated by comparison with reference full LBM simulations. The hybrid method combines the advantages of both methods, i.e., accuracy and computational efficiency. LBM and the hybrid LBM-PNM method are used to study the drying of porous media at pore scale. We analyse two different pore structures and consider how capillary pumping effect can maximize the drying rate. Finally, we indicate how optimized drying rates are relevant when designing facade or pavement solutions that can mitigate higher surface temperatures in urban environments by evaporative cooling.
Hygrothermal performance of the building envelope with low environmental impact: case of a hemp concrete envelope
Authors: Kabore A , Maref W , Plamondon C O
Published: December 2021

This document is a case study of hemp-based materials integrated into the building envelope for African and North American’s applications. The objective is to evaluate the energy performance of hemp concrete for construction in Montreal, Canada, where heating predominates and in Dori, Burkina Faso, where air conditioning predominates. The effect of thermal and hygrothermal comfort of hemp concrete, glass wool, cement block and compressed earth brick walls were simulated to quantify the benefits on overheating during the hottest months for the city of Dori and the risk of mould growth in the walls of the building in winter for the city of Montreal.
Pitched unventilated wood frame roof with smart vapour barrier – field measurements
Authors: Bunkholt N S , Gullbrekken L , Time B , Kvande T
Published: December 2021

Unventilated wood-frame roofs may provide smaller roof thickness and less material use compared to conventional unventilated roofs with all the thermal insulation above the load bearing structure. Unventilated roofs are, however, normally built without wooden materials between the vapour barrier and roof membrane due to moisture safety. Field measurements on the pitched unventilated wood-frame roof of an office building in Norway is performed to demonstrate and document the performance of this type of roof construction. Through monitoring of moisture and temperature, the study aims to contribute to verification of simulations and laboratory measurements showing that unventilated wood-frame roofs may be built with wooden materials if a smart vapour barrier is used. The results show moisture levels below 15 weight-% on the warm side of the rafters throughout the first 15 months of measurements. On the cold side of the rafters, the moisture content increased during winter due to built-in moisture in the construction and reached levels close to 25 weight-%. The moisture content decreased to around 15 weight-% when summer arrived, which shows an expected redistribution of moisture and indicates possible drying of the construction. The measurements underline the importance of limiting built-in moisture to reduce the risk of mould growth, but the study also implies that for some given premises an unventilated pitched wood-frame roof may have acceptable moisture risk.
Impact of the 3D morphology on the hygro-thermal transfer of hygroscopic materials: application to spruce wood
Authors: Dahanni Hiam , Rima Aya , Abahri Kamilia , Hachem Chady El , Assoum Hassan
Published: December 2021

Spruce wood is a bio-based material that is well known in the building construction field because of its good thermal and acoustic properties. It has a heterogeneous anatomical structure and also hygroscopic nature which offers the possibility to swell or shrink–in accordance to–relative humidity solicitations. In this context, the aim of this paper is to investigate the influence of the microstructure of spruce wood on the mechanisms of heat and mass transfers. The novelty of this article is that a real 3D spruce wood structure is taken into account to model hygrothermal transfer within the material. A 3D X-ray micro-tomography was investigated for the reconstruction of the material at a resolution of 3.35 μm/pixel. Hygrothermal model was developed in order to predict the influence of the anatomical structure of wood on the material behaviour. The resulting 3D temperature and relative humidity profiles show a significant dependence on the morphological structure of the material and the mechanisms that are at the microscopic scale have an influence on the macroscopic scale.