bluuebunny/crossref_metadata_2025 huggingface dataset:
Post-War Anomie in the Field of Management Leadership and Anomie Overcoming Models
Authors: Hakobyan Naira , Khachatryan Anna
Published: July 2022

This paper presents the results of a theoretical-methodological analysis of the post-war anomie phenomenon in management leadership. The main features of post-war anomie are shown. The paper investigates this topic in the following logical sequence: in a post-war society, where almost all areas of public life marginalize rapidly, a marginal type of manager becomes dominant. It is a kind of hybrid type of management, which occupies an intermediate position between the traditional (pre-war) and new (post-war) types. In a post-war society, a sense of security and confidence in the future is replaced by uncertainty. At every step, a contradictory situation arises, social tensions grow, and competition and interpersonal and intergroup conflicts become more widespread. The consequences of the war are felt more strongly, and the living conditions of people are deteriorating, which causes panic, shocks, stress, and psycho-physiological disorders. People do not even have a vague idea of where society is moving, their role in this process, and where their place is − all this gives rise to uncertainty in the future. It becomes difficult for many to adapt to new conditions psychologically. For the individual, the social world is collapsing in the truest sense. Traditional stereotypes of adaptation and rationalization are being destroyed − people do not understand what is happening in their environment. The research theoretically proves that specific models aim to overcome anomie in a post-war society. Overcoming anomie also suggests a strong influence, sometimes needed to move towards the chosen direction. The problem is that very often, strong effects can develop into distress, and accordingly, the formation of new social norms will suffer, possibly leading to a dysfunctional company. The results of the research can be helpful for the specialists in the fields of business ethics and leadership, contemporary approaches, and socio-psychological issues of human behavior in a post-war society.
Features of food design on a 3D printer. A review
Authors: Ulrikh E. V. , Verkhoturov V. V.
Published: July 2022

3D printing technology attracts considerable attention due to its versatility and possibility of using in different industries such as the aerospace industry, electronics, architecture, medicine and food industry. In the food industry, this innovative technology is called food design. 3D printing is a technology of additive manufacturing, which can help the food industry in the development of new and more complex food products and potentially help manufacture products adapted to specific needs. As a technology that create foods layer by layer, 3D printing can present a new methodology for creating realistic food textures by precise placement of structuring elements in foods, food printing from several materials and design of complex internal structures. In addition to appearance and taste, food consistency is an important factor of acceptability for consumers. The elderly and people with dysphagia not infrequently suffer from undernutrition due to visual or textual unattractiveness of foods. The aim of this review is to study the available literature on 3D printing and assess recent developments in food design technologies. This review considers available studies on 3D food printing and recent developments in food texture design. Advantages and limitations of 3D printing in the food industry, possibilities of printing based on materials and consistency based on models as well as future trends in 3D printing including technologies of food preparation by printing on food printers are discussed. In addition, key problems that prevent mass introduction of 3D printing are examined in detail.
Organoleptic, rheological and crystallization properties of confectionery glaze with beet powder
Authors: Mazukabzova E. V. , Zaytseva L. V.
Published: July 2022

The recipe composition of confectionary glaze determines its high caloricity upon the low content of physiologically significant substances. Introduction of fruit and vegetable raw materials makes it possible to increase a content of dietary fibers, vitamins, macro- and microelements in a product, as well as to reduce an amount of added sugar. This paper considers a technological possibility of introducing vegetable powders into the confectionary glaze recipe by the example of the beet powder. Physico-chemical indicators of the beet powder were studied in comparison with the classic recipe components of confectionary glaze. An effect of an amount of the beet powder (3–15%) introduced instead of part of sugar on the organoleptic, rheological and crystallization properties of glaze was studied. Organoleptic evaluation revealed that addition of the beet powder into the confectionary glaze recipe in an amount of more than 15% led to appearance of floury off-flavor. It was found that yield strength of glaze increased in the direct proportion to the content of beet powder in its composition (from 3.601 Pа to 4.446 Pa) and its value was in a range of the optimal values of 3÷7 Pа. Therefore, addition of the beet powder in an amount of up to 15% will not lead to technological difficulties. The study of the kinetics of the process of confectionary glaze structuring showed that addition of the beet powder led to a decrease in the solidification point and an increase in the time of glaze crystallization. The main crystallization parameters of the developed glaze were established: solidification point Tmax=28.0÷28.3°C, crystallization time τmax=8.2÷8.6 min. Based on the performed research, the following recipes were developed: vegetable-containing confectionary glaze with the beet powder content of 3 to 10%; vegetable confectionery glaze with the beet powder content of 13%.
Formation of uric acid in grain produced by rhyzopertha dominica (f.)
Authors: Zakladnoy G. A. , Yaitskikh A. V. , Stepanenko D. S.
Published: July 2022

The study describes the peculiarities of the development of uric acid produced by lesser grain borers Rhizopertha dominica during their vital activities in the grain mass. Pollution of grain by insects makes it poisonous. The conventional determination of grain pollution by the number of insects in the intergrain space in several cases (for example, after grain separation) gives a false picture of its actual hazard for human nutrition, which is a possibility for introduction of falsified grain products to the market. This leads to provision of the population with low-quality primary products, which, subsequently, reduces the quality of foods produced from such grain. During their vital activities, insects pollute grain with uric acid, which analysis is proposed as an alternative to the conventional method. The present study is devoted to the determination of the quantitative dependence of uric acid formation in wheat grain on the number of Rhizopertha dominica. It is shown that uric acid formation in grain by this pest is conditioned by the character of its nutrition with the development of a large amount of excrements in a form of fine gray dust with the characteristic odor commonly referred to as “floury dust”. It was established experimentally that the main part of uric acid excreted by the pest is concentrated in “floury dust”. Grain without “floury dust” contains the insignificant amount of uric acid; however, it is closely linked with the density of its pollution with imago Rh. dominica. As grain before milling in milling plants is subjected to thorough cleaning, during which “floury dust” is removed along with other contaminants, it is recommended to sift “floury dust” from grain before determination of uric acid in it.
New types of sugar-containing raw materials for food production
Authors: Kuzmina E. I. , Egorova O. S. , Akbulatova D. R. , Sviridov D. A. , Ganin M. Yu. , Shilkin A. A.
Published: July 2022

The global concept of conscious consumption and healthy life-style affects the development of the food industry. As a consequence, over the last several decades, a production of sugar substitutes has been increased, a search for and creation of new sweetening substances have been carried out. The paper presents a review of the domestic and foreign studies devoted to the use of sugar substitutes in various branches of the food industry. The information about new types of sugar substitutes from natural starch-containing raw materials and their properties is given. A possibility of replacing crystalline sugar with sugar substitutes in food production is described, their effect on the physico-chemical, sensory and organoleptic properties of foods and beverages is demonstrated. The development of the technologies facilitates an extension of the range of well-known and widely used high-calorie sugar substitutes from starch-containing raw materials, characterized by different carbohydrate composition and properties. It has been noted that out of quite a large number of sugar substitutes applied in the food industry abroad, glucose-fructose syrups (GFS) are among most promising. They are full-value sucrose substitutes and have several advantages. A proportion of GFS in the total volume of sugar syrup consumption is increasing worldwide every year. The main raw material for production of GFS in the USA is corn starch; in the CIS countries, starch obtained from wheat and potato is also used. Studies aimed to investigation and development of bioprocesses that ensure production of competitive enzymatic GFS and other sweetening syrups from alternative sources are gaining in importance. The information is presented about the development of the innovative technologies for production of sugar syrups from Jerusalem artichoke and chicory, agave, yacon, sorghum and rice. The results of the study of properties of these syrups and their effect on the physical and sensory, rheological and microstructural properties of products, in which technologies these syrups were used, are described. Due to the different carbohydrate composition, as well as physico-chemical properties (a degree of hygroscopicity, anti-crystallization properties, a level of sweetness, glycemic index and so on), sugar substitutes acquire increasing popularity among producers and consumers, and can be used in food and beverage manufacturing as a more technological replacement of crystalline sugar.
Study of the antioxidant potential of oat drinks enriched with plant components
Authors: Kupaeva N. V. , Ilina M. A. , Svetlichnaya M. V. , Zubarev Yu. N.
Published: July 2022

Oxidative stress, to which many modern people are subjected, promotes the development of neurodegenerative, cardiovascular, inflammatory, oncological and other socially important diseases. The antioxidant system consisting in the endogenous and exogenous antioxidants exists in the body to regulate the action of free radicals and reactive oxygen species. The main source of exogenous antioxidants is food and this conditions an increase in the demand for functional foods. The market of functional drinks based on teas, cereal products, fruit and vegetable juices is developing especially actively. Drinks based on oat flakes with addition of plant components are distinguished by the high nutrition value being a rich source of dietary fibers, vitamins, minerals and antioxidants. During the experiment, a functional drink based on oat flakes and enriched with bananas, blueberry berries and a powder of elder (Sambucus nigra L.) berries recognized for the high content of anthocyanins was developed. The antioxidant potential of the experimental product was assessed by measuring the total antioxidant capacity (TAC) by the FRAP method and determining the antiradical activity (ARA) by the DPPH method. The TAC values for the aqueous and methanol extracts were 807.3±18.0 µmol quercitin equivalents /L and 948.7±47.9 µmol quercitin equivalents/L, respectively, which significantly exceeded the similar values in the control sample (by 2.44 and 1.69 times, respectively). The ARA of the methanol extract of the experimental drink was 86.49±2.01%, which was 1.9 times higher than the ARA of the control sample. It was established that about 10% of fat-soluble antioxidants are lost upon preparation of oat-based functional drinks with addition of elder berries.
Is the Unity of Goodness and Beauty the Distinctive Feature of Confucian Aesthetics?
Authors: Fu Xiaowei , Wang Yi , Pickus David
Published: July 2022

Tvrdnju da je jedinstvo ljepote i dobrote (美善合一) karakteristično obilježje konfucijanske estetike, estetičari su previše lako uzeli za aksiomatsku i na osnovi toga pretpostavili da je teorijski temelj konfucijanske estetike i obrazovanja. U suvremenim kineskim akademskim krugovima ovaj je stav dobio tako veliku podršku da se pojavio implicitni konsenzus, dajući dojam da jedva da postoji potreba za filozofskim argumentom koji bi opravdao ili na drugi način osporio izvornu tvrdnju. Da bismo promaknuli novo stajalište povratkom na drevne tekstove, pokazat ćemo da su u starokineskom znakovi 美 i 善 sinonimni, te da su estetske misli Konfucija i ranih konfucijanaca češće izraženi izrazom yue (樂), nego mei (美), dok se njihova ideja o odnosu između lijepoga i dobrote iskazuje terminima li (禮) i yue (樂), umjesto shan (善) i mei (美). Zatim pokušavamo dokazati da dva najčešće citirana dokazna teksta za pretpostavku da postoji jedinstvo dobrote i lijepoga u drevnoj tradiciji, točnije jedan odlomak iz Mencija i drugi iz Analekata, zapravo ne govore o jedinstvu lijepoga i dobrote. Zaključujemo kratkim prikazom značaja ovog argumenta za proučavanje kineske i svjetske estetike.
Impact of W and Z Production Data and Compatibility of Neutrino DIS Data in Nuclear Parton Distribution Functions
Authors: Muzakka Khoirul Faiq , Duwentäster Pit , Hobbs Timothy , Ježo Tomaš , Klasen Michael , Kovarik Karol , Kusina Aaleksader , Morfín Jorge G. , Olness Frederick , Ruiz Richard , Schienbein Ingo , Yu Ji-Young
Published: July 2022

Vector boson production and neutrino deep-inelastic scattering (DIS) data are crucial for constraining the strange quark parton distribution function (PDF) and more generally for
flavor decomposition in PDF extractions. We extend the nCTEQ15 nuclear PDFs (nPDFs) by adding the recent W and Z production data from the LHC in a global nPDF fit. The new nPDF set, referred to as nCTEQ15WZ, is used as a starting point for a follow-up study in which we assess the compatibility of neutrino DIS data with charged lepton DIS data. Specifically, we re-analyze neutrino DIS data from NuTeV, Chorus, and CDHSW, as well as dimuon data from CCFR and NuTeV. To scrutinize the level of compatibility, different kinematic regions of the neutrino data are investigated.
Fits to the neutrino data alone and a preliminary global fit are performed and compared to nCTEQ15WZ.
Study of Short-Range nuclear Correlations in light nuclei using the BeAGLE event generator
Authors: Tu Zhoudunming
Published: July 2022

Nuclear dynamics at short distances among nucleons is one of the most
outstanding phenomena in nuclear physics. Understanding the role of QCD
in generating nuclear forces is important for uncovering the underlying
physics of Short-Range Correlations (SRCs). In recent years, SRCs has
been observed from light to heavy nuclei using fixed target experiments
at Jefferson lab via high energy electron-nucleus scattering. In this
talk, I will talk about the opportunity of studying SRCs using light
nuclei with collider experiments, e.g., the Electron-Ion Collider (EIC).
The experimental technique of studying the light nuclei can be based on
exclusive processes with tagging final-state particles, in order to
fully control the initial state of the target wavefunction. In
particular, incoherent diffractive production of
J/\psiJ/ψ
particle off deuteron will be presented. In addition, the spectral
function in light nuclei has been recently modeled in the BeAGLE event
generator, where the decay kinematics of the light nuclei and their
influence on the very forward detector design at the EIC will be
discussed.
Multi-particle production in proton-nucleus collisions in the Color Glass Condensate
Authors: Agostini Infante Pedro Augusto , Altinoluk Tolga , Armesto Nestor
Published: July 2022

We compute multi-gluon production in the Color Glass Condensate approach in dilute-dense collisions, pA. We include the contributions that are leading in the overlap area of the collision but keep all orders in the expansion in the number of colors. We use a form of the Lipatov vertices that leads to the Wigner function approach for the projectile previously employed, that we generalise to take into account quantum correlations in the projectile wave function. We compute four gluon correlations and we find that the second order four particle cumulant is negative, so a sensible second Fourier azimuthal coefficient can be defined.
Non-zero transverse single spin asymmetry of very forward $\pi^0$ in polarized $p + p$ collisions at $\sqrt{s} = 510$ GeV
Authors: Kim Minho
Published: July 2022

The RHICf experiment measured transverse single spin asymmetry of
very forward (\eta > 6η>6)
\pi^0π0
from polarized p + pp+p
collisions at \sqrt{s} = 510s=510
GeV. In order to measure it precisely, we installed a new
electromagnetic calorimeter at zero-degree area of the STAR experiment
at the Relativistic Heavy Ion Collider (RHIC) and measured the
\pi^0π0s
over the kinematic range of x_F > 0.25xF>0.25
and 0 < p_T < 10<pT<1
GeV/cc
in June 2017. A clear non-zero asymmetry was observed even in low
p_T < 1pT<1
GeV/cc
showing a similar x_FxF
dependence with that of the forward (2 < \eta < 42<η<4)
\pi^0π0.
A possible diffractive contribution may need to be taken into account to
explain the very forward \pi^0π0
asymmetry. RHICf-STAR combined analysis and follow-up experiment will
give a clue to understand it qualitatively.
Physics from Photons at the LHC
Authors: Harland-Lang Lucian
Published: July 2022

LHC collisions can act as a source of photons in the initial state. This mechanism plays an important role in the production of particles with electroweak couplings, and a precise account of photon-initiated (PI) production at the LHC is a key ingredient in the LHC precision physics programme. I will discuss the possibility of modelling PI processes directly via the structure function approach. This can provide percent level precision in the production cross sections, and is therefore well positioned to account for LHC precision requirements. This formalism in addition allows one to make use of another useful feature of photons, namely that they are colour-singlet and can often be emitted elastically (or quasi-elastically) from the proton. I will discuss recent work on applications of the structure function approach to precision calculations of PI production in the inclusive mode, and to `exclusive' processes with rapidity gaps, which can provide a unique probe of the Standard Model and physics beyond it.
Spin Density Matrix Elements for Exclusive $\rho^{0}$ Meson Muoproduction at COMPASS
Authors: Augustyniak Witold
Published: July 2022

Spin density matrix elements were extracted from COMPASS data for
exclusive \rho^{0}ρ0
meson muoproduction on a liquid hydrogen target. The measurement cover
the
kinematic range of 1.0 (GeV/cc)^22< Q^{2} <<Q2<
10.0 (GeV/cc)^22,
5.0 GeV/c^2c2< W <<W<
17.0 GeV/c^2c2
and 0.01 (GeV/cc)^22<p^{2}_{T}<<pT2< 0.5 (GeV/cc)^22.
Here, WW
denotes the mass of the final hadronic system,
Q^{2}Q2
the virtuality of the exchanged photon and
p_{T}pT
the transverse momentum of the \rho^{0}ρ0
meson with respect to the virtual-photon direction. We observe a
violation of s-channel helicity conservation for the transition
\gamma^{*}_{T} \to \rho^{0}_{L}γT*→ρL0.
Additionally, we find a dominant contribution of the
natural-parity-exchange transitions.
Can $\overline{MS}$ parton distributions be negative?
Authors: Candido Alessandro , Forte Stefano , Hekhorn Felix
Published: July 2022

We review our recent paper, where we proved Parton distributions
functions (PDFs) to be positive at NLO in the
\overline{MS}MS¯
factorization scheme. We present some additional material that was
useful in completing the steps for the actual proof, but we won’t
attempt to report on the full proof, but referring the reader to the
paper itself.
NLO collinear factorization of large mass diphoton photoproduction amplitude
Authors: Grocholski Oskar , Pire Bernard , Sznajder Paweł , Szymanowski Lech , Wagner Jakub
Published: July 2022

We calculate large mass diphoton exclusive photoproduction in the
framework of collinear QCD factorization at next to leading order in
\alpha_sαs
and at leading twist. Collinear divergences of the coefficient function
are absorbed by the evolution of the generalized parton distributions
(GPDs). This result enlarges the existing factorization proofs to
2 \to 32→3
processes, opening new reactions to a trustable extraction of GPDs.
Measurements of jet substructure and jet fragmentation using the ATLAS detector
Authors: Llorente Merino Javier
Published: July 2022

Measurements of the internal properties of jets at the LHC
interaction scale allow QCD to be studied in a new energy regime. In
this talk, we discuss recent measurements of jet substructure and jet
fragmentation, which were performed using data collected by the ATLAS
experiment at a centre-of-mass energy of \sqrt{s}=13s=13
TeV. The fragmentation properties of jets, such as the jet charge and
summed fragmentation function, are measured using charged particles. A
comprehensive suite of jet substructure observables is also measured for
jets reconstructed with the soft-drop algorithm applied. In addition, a
measurement of the Lund plane is performed using charged particles. All
of the measurements are corrected for detector effects and are compared
to the predictions of state-of-the-art Monte Carlo event generators.
Central dileption production in proton-proton collisions with rapidity gap and with forward protons
Authors: Szczurek Antoni , Linek Barbara , Luszczak Marta
Published: July 2022

We discuss photon-photon fusion mechanisms of dilepton production
in proton-proton collisions with rapidity gap in the main detector
and one forward proton in the forward proton detectors.
This is relevant for the LHC measurements by ATLAS+AFP and CMS+PPS.
Transverse momenta of the intermediate photons are taken into account
and photon fluxes are expressed in terms of
proton electromagnetic form factors and structure functions.
Both double-elastic and single-dissociative processes are included
in the analysis. Different parametrizations of the structure functions
are used.
Some differential distributions are presented.
Some differences with respect to the results without proton
measurement are discussed.
Implementation of Information Technology, Opportunity, and Tendency of Fraud
Authors: Novianti Nurlita , Firmanto Yuki
Published: July 2022

The research investigates the impact of fraud in Indonesian public sector by using information technology phenomenon. The study investigates the impact of information technology on the tendency of fraud through mediation to construct an opportunity. Based on the logical thinking of information technology provides capabilities for companies that could potentially open up an opportunity for fraud perpetrators to commit fraud. Therefore, the first test of the research examines the effect of information technology to construct an opportunity. The second test, the research explores the information technology that influence the tendency of fraud without mediation to construct an opportunity. The research uses a group of 58 person who experienced in finance and procurement departments using the judgment sampling method. Partial Least Squares was used to analyze the data. The findings indicate that the existence of information technology within an agency to provide the benefits of information technology capability that was conceived as a media and, therefore, information technology capability will also be able to provide a loophole for fraud perpetrators to do fraud.
Resistance and Ungendering: Poetry of Mona Zote and Monalisa Changkija
Authors:   Associate Professor of English, Biswas Debajyoti ,   Bodoland University, Kokrajhar, Assam, India, Pramanik Pratyusha ,   Senior Research Fellow; Department of Humanistic Studies, Indian Institute of Technology (BHU) Varanasi, India
Published: July 2022

While the academic world talks of different waves of feminism that have emerged in Europe and the US in the past few centuries, the feminists from the third world countries have reservations on the use of a western framework of feminism in investigating the challenges faced by the women from third world countries. The structural discrimination that permeates the gender divide in India is so variegated that a homogenous reprisal will be inadequate to understand the problems that persist among several ethnic communities in a postcolonial context. Neither religion nor education could erase the structural discrimination that continues to exist in these ethnic societies because of the persistence of regressive “customary laws” that allow male domination. This essay argues that the emerging feminist voices like Monalisa Chankija and Mona Zote from India’s north-east have used “performativity” as a tool to counter these gendered societies on one hand, and on the other hand it has also un-gendered the “essence” of cultural constructs putting it under suspension. However, the success of this effort seems limited only to the literary world as efforts are still underway to bring substantial changes into the political world.
Under the Canopy of Sal Trees: A New Vocabulary of Performance in Sukracharya Rabha’s Minimal Theatre
Authors:   North-Eastern Hill University, Tura Campus, Meghalaya, India, Pathak Namrata
Published: July 2022

This paper would be structuring and documenting Rabha’s theories of performance which are heavily laced with ecological concerns, and also his penchant for body-centric performances that explore the contact point between man and nature, the given and made, public zones and biospheres. The paper aims to capture the nuances of his unique ensemble called “green theatre,” something that is akin to a search for roots, a drive to cultivate an “intrinsic rural mechanism”, in the words of H. Kanhailal, a renowned theatre exponent and Rabha’s mentor. There is an urge to capture the ebb and flow of country life, humankind’s vital affinity with nature. Rabha fuses lifeworlds, bio-forms, and landscapes. He gives birth to new grammar and vocabulary of “physical theatre” by weaving the synergy of life into the fabric of performance.
The Influence of Oil Contamination on Flow Control Valve Operation
Authors: DOMAGALA M.
Published: July 2022

Abstract. This study presents CFD simulations of the flow of contaminated oil inside a control valve to investigate the influence of solid contaminants on the valve operational features. The Euler-Lagrange approach has been used to simulate the flow of oil contaminated with solid particles. The CFD simulations allowed determining the effect of solid contamination on the value of hydrodynamic force and a pressure drop for different contamination levels and valve opening.
Evaluation of the Influence of Laboratory Weathering of Paint Systems used in Rolling Stock on Selected Mechanical Properties
Authors: GARBACZ M.
Published: July 2022

Abstract. This paper evaluates the results of selected mechanical properties of outdoor painting systems used in the railway industry and the influence of laboratory weathering (simulation of outdoor conditions) with sunlight, temperature, and moisture on the change of these properties. The impact of the above-mentioned weather parameters, particularly solar radiation, was briefly described on the degradation of coating systems of weathering on selected mechanical properties such as hardness, resistance to gradual deformation (cupping test), and adhesion (fracture strength) was evaluated. The tests were carried out at the Railway Institute, Materials and Construction Laboratory, using two weathering methods: ISO 16474-2 [1] and the in-house method described in DN 001/08/A2/16 paragraph 4.1.8 [2].
Virtual Methods of Testing Automatically Generated Camouflage Patterns Created Using Cellular Automata
Authors: PRZYBYŁ W.
Published: July 2022

Abstract. The article presents a method of designing and assessing the camouflage effectiveness of a novel camouflage pattern used in military uniforms. “Artificial intelligence”, namely cellular automata, which, based on terrain imaging, allowed the authors to obtain dedicated, tailor-made, or universal camouflage patterns, was used as the design method. On the other hand, the study on camouflage effectiveness was based on tests with the participation of observers in a virtual environment using a personal computer.
Corrosion of the S235JR Carbon Steel after Normalizing and Overheating Annealing in 2.5% Sulphuric Acid at Room Temperature
Authors: LIPIŃSKI T.
Published: July 2022

Abstract. The low-carbon steels offer economical properties of mean hardness, strength, and low corrosion resistance, but the steel can be welded without restrictions, usually. The structural low carbon steels have a ferritic-perlitic microstructure. The microstructure depends on the manufacturing technology and heat treatments of steel. This steel is not intended for heat treatment. However, due to the technological process, which is welding, the material often overheats. This overheating causes microstructure growth. The effect of larger grains of the steel microstructure is the reduction of its functional properties. Corrosion resistance is an essential factor in structural steel’s quality and application. The purpose of this article is to investigate corrosion resistance using weight loss and profile roughness parameters of typical structural steel in grade S235JR in 2.5% sulphuric acid solution in distilled water. Samples were tested after normalizing and superheating annealing. Corrosion tests show that continued corrosion characterizes tested steel in both corrosive environments. Roughness parameters for every one of the research times determine the size of steel corrosion.
The Influence of the Solvent on the Corrosion Resistance of Vinyltrimethoxysilane Based Coatings Deposited on X20Cr13 Steel
Authors: KUCHARCZYK A.
Published: July 2022

Abstract. The paper presents the results of research on the anti-corrosion properties of coatings based on vinyltrimethoxysilane, alcohol, and acetic acid in sulfate solutions with or without chloride ions (pH = 2). The experiment investigated the influence of a solvent (methanol, ethanol, butanol, propanol) on anti-corrosion properties, surface morphology, and adhesion to the steel substrate. The coatings were deposited on X20Cr13 stainless steel using the sol-gel dip method.
Study of the Impact of –NH2 Modification on Adsorptive Properties of Graphene Oxide
Authors: KWAK A.
Published: July 2022

Abstract. Graphene oxide is a nanomaterial of very high adsorption capabilities due to its vast surface area. Moreover, numerous oxygen functional groups present on the surface of graphene oxide enable its modifications to be performed. The authors aimed to create adsorbents based on activated carbon impregnated with amine-modified graphene oxide. The study showed that the amino group functionalisation, both with the use of ethylenediamine (GO-EDA) and using polyaniline (GO-PANI), causes the adsorbent to remove lead, mercury, copper, and iron ions from aqueous solutions very efficiently. Both adsorbents also reduce the cadmium, nickel, zinc, and arsenic ion content, however to a lesser extent but nevertheless still significantly. The two sorbents can be applied in field water treatment to remove specific contaminants.
Improving the Non-Destructive Testing Process of the Outer Bearing Ring
Authors: SIWIEC D.
Published: July 2022

Abstract. The aim was to identify the unconformities in the product with the magnetic-powder method and extension of the analysis process about selected quality management techniques in order to identify the root of unconformities. The product subject to magnetic-powder testing was the outer ring of the four-point ball bearing. On the product, the cracks were identified, so in order to point to the root of unconformities, the techniques like Ishikawa diagram and the 5Why method were implemented. Analyses showed that the source of the cracks on the outer bearing ring was defective material from the supplier. The proposed process of using quality management techniques together with non-destructive testing can be used in any enterprise to detect the unconformities of the products and the reasons for their creation.
Microstructure and Mechanical Properties of Dissimilar Friction Welded B500B-1.4021 Steel Joint
Authors: OSTROMĘCKA M.
Published: July 2022

Abstract. In this study, unalloyed reinforcing steel (B500B) is merged with martensitic stainless steel (1.4021). The paper presents microstructural observation, hardness measurements, and tensile test results of this dissimilar joint as-welded. In this specific case, no heat treatment is demanded. The joint is a part of the pile foundation for railway traction lines.
Literatura D(ó) R(é) Mi(x)
Authors: Gonzalez Stella Maris de Carvalho , Vieira Miriam de Paiva
Published: July 2022

Este artigo tem como objetivo compreender como o procedimento midiático remix é utilizado na literatura para atribuir nova roupagem a reescritas de obras literárias. Para tal, situamos as noções de adaptação e apropriação como formas de reescrita a partir das propostas de Linda Hutcheon (2013), Julie Sanders (2006) e Adrienne Rich (1972). Apresentamos, então, o conceito de remix dentro de uma cultura de atividade global, de acordo com Eduardo Navas (2012, 2018), David J. Gunkel (2016) e Owen Gallagher (2018). Devido a sua abrangência, associamos o remix com a noção de “travelling concept”, nos moldes de Mieke Bal (2002). Por fim, delimitamos as especificidades, conforme proposto por Lars Elleström (2017), do remix musical, investigando como características ligadas à remixagem musical são transportadas para a literatura. Para tal, analisamos samples transportados de Orgulho e Preconceito (1813), de Jane Austen, para o remix literário Orgulho (2019), de Ibi Zoboi.
Male fertility: summary overview of the publications January – March 2022
Authors: Rogozin D. S.
Published: July 2022

The article presents an overview of the most significant publications on the topic of male infertility. The main selection criteria were the practical significance of the article, as well as the impact factor of the journal in which it was published, according to the SCImago Journal Rank (SJR). As a result, a list of 10 papers published in the first quarter (January – March) of 2022 was compiled. The review includes articles on the following issues: the role of coronavirus infection in male infertility, the effectiveness of aromatase inhibitors in infertile men, the effect of assisted reproductive technologies on the reproductive health of descendants, recurrent miscarriage, the effect of antibiotic therapy on the DNA fragmentation index, the role of antisperm antibodies in male infertility, the incidence of idiopathic male infertility, the Sixth Edition WHO guidelines for the ejaculate processing, as well as the relationship of depression with male infertility.
Experiences of Patients With Hashimoto Thyroiditis Through the Lens of Compassion
Authors:   Independent Researcher, Leiden, The Netherlands, Portokalidou Zoi , Huysse-Gaytandjieva Anna ,   Psychotherapie Praktijk Limburg; Hashimoto.Help, Brightlands Health Campus, Gaetano Martinolaan 85, 6229 GS, Maastricht, The Netherlands, Peters Madelon L. ,   Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40 6229 ER Maastricht, The Netherlands
Published: July 2022

Hashimoto thyroiditis (HT) is an autoimmune disease affecting mainly middle-aged women. Hormonal replacement is the most common therapy; however, it tackles only the functionality of the thyroid and not the autoimmunity components. Thus, patients experience persistent somatic and psychological symptoms, thereby affecting their quality of life. The cause of HT remains uncertain. Primary evidence suggests that adverse experiences in childhood are associated with autoimmune disease manifestation in adulthood; therefore, the effect of early adverse events on disease course needs to be explored. This paper explored patients’ early life events and everyday experiences through the lens of compassion, as defined in compassion-focused therapy (CFT). In this study, nine participants were interviewed, and the transcribed interviews were analyzed using Thematic Analysis. Qualitative analysis indicated that patients exhibited increased psychological distress and a lack of understanding from others. Common patterns of experiences and behaviors were identified, such as the lack of compassion and affiliation between significant others and themselves. Therefore, including psychological care in the therapeutic process of HT would improve patients’ well-being and quality of life. In particular, cultivating compassion could be a promising strategy for disease prevention and the healthy functioning of patients.
Modeling the Omicron Dynamics and Development in China:
with a Deep Learning Enhanced Compartmental Model (Preprint)
Authors: Deng Qi
Published: July 2022

BACKGROUND

Compartmental models dominate epidemic modeling. Estimations of transmission parameters between compartments are typically done through stochastic parameterization processes that depend upon detailed statistics on transmission characteristics, which are economically and resource-wide expensive to collect.

OBJECTIVE

We apply deep learning techniques as a lower data dependency alternative to estimate transmission parameters of a customized compartmental model, for the purpose of simulating the dynamics of the Omicron phase of the COVID-19 epidemics and projecting its further development in China and subregions within the country.

METHODS

We construct a compartmental model, and develop a multivariate, multistep deep learning methodology to estimate the model’s transmission parameters. We then feed the estimated transmission parameters to the compartmental model to predict the development of the COVID-19 epidemics in China and subregions within the country for 28 days.

RESULTS

In China (excluding Hong Kong and Taiwan), the daily Omicron infection increase is between 60 and 260 in the 28-day forecast period between June 4 and July 1, 2022. On July 1, 2022, there would be 768,622 cumulative confirmed cases and 591 cumulative deceased cases. The CFR would stabilize at 0.077%0.00025%. Assuming a 25% infection rate, the total deaths with Omicron would be up to 280,000 without non-pharmaceutical intervention (NPI).

CONCLUSIONS

Current compartmental models require stochastic parameterization to estimate the transmission parameters. These models’ effectiveness depends upon detailed statistics on transmission characteristics. As an alternative, deep learning techniques are effective in estimating these stochastic parameters with greatly reduced dependency on data particularity.
STOBE: A Long-COVID Syndromic Study using Real-World data in Brazil (Preprint)
Authors: Cavalini Heitor , Neves Victor Ribeiro , Qin Zhenni , Zeng Yutian , Shetty Ashish , Phiri Peter , Shi Jian Qing , Delanerolle Gayathri
Published: July 2022

BACKGROUND

Patients that tested positive to COVID-19 led to a sub-population of patients who continue to demonstrate acute COVID-19 symptoms. Those demonstrating COVID-19 symptomatologies post 90 days are considered as potential long-COVID-19 (LC) patients. Identifying and managing patients with long-Covid continues to be a challenge, especially in areas where surveillance data and resources are scarce, such as Brazil.

OBJECTIVE

The primary aim of this study is to show the prevalence of LC in the city one of the largest municipalities in Northern Brazil, Petrolina. The results of this study can help strengthen our understanding of the prevalence and symptomatology of LC.

METHODS

A cross sectional study design was used with a real-world dataset. The sample size was 1,164 LC patients. A study specific database was created using Microsoft Excel. Comparative and subgroup analyses were conducted to evaluate demographics, comorbidities, clinical symptoms, and mortality.

RESULTS

Pain and neuropsychological symptoms were commonly reported. The prevalence of physical, pain and autonomic symptoms increased with age. Male patients reported a higher prevalence of physical and pain symptoms than females’ patients. Patients belonging to Black and Caucasian racial groups were more likely to experience physical and pain symptoms compared to Pardo patients.

CONCLUSIONS

A potential correlation between physical symptoms and an increased number of comorbidities were identified within the sample. The severity of long-Covid tends to elevate in line with an increase in the number of comorbidities, medications taken, and, in particular, the number of symptoms.
Bacterial Infections and Atherosclerosis – A Mini Review
Authors: Munusamy Gomathi , Shanmugam Ramesh
Published: July 2022

Atherosclerosis is the most challenging subsets of coronary artery disease in humans, in which risk factors emerge from childhood, and its prevalence increases with age. Experimental research demonstrates that infections due to bacteria stimulate atherogenic events. Atherosclerosis has complex pathophysiology that is linked with several bacterial infections by damaging the inner arterial wall and heart muscles directly and indirectly by provoking a systemic pro-inflammation and acute-phase protein. Repeated bacterial infections trigger an inflammatory cascade that triggers immunological responses that negatively impact cardiovascular biomarkers includes triglycerides, high-density lipoprotein, C-reactive protein, heat shock proteins, cytokines, fibrinogen, and leukocyte count. Herein, we intended to share the role of bacterial infection in atherosclerosis and evaluate existing evidence of animal and human trials on the association between bacterial infections and atherosclerosis on update.
Isolation, Screening and Identification of Lignin Degraders from the Gut of Termites Odontotermes obesus
Authors: Rajan Revathy , Sudhakaran Ajith , Ravindranath Anita , Sivalingam Rajathy , Kumar Ratheesh
Published: July 2022

The mounting disquiets about the usage of precarious chemicals in the textile industry have steered to the development of eco-friendly and biological methods of fiber processing in the ever-escalating horizon of textile fibers. The current study targets the isolation, identification, and screening of lignin-degrading bacteria from termite gut microflora which could be employed in the textile trade, especially in coir industries for developing a biological method for softening coir fibers. Based on the morphology and taxonomic keys, termites used in the study were identified as Odontotermes obesus. The bacteria isolated from the termite gut having lignolytic activity were picked by using the methylene blue dye decolorizing method. The same was confirmed by using tannic acid. The isolates were then identified as Kosakonia oryzendophytica and Pseudomonas chengduensis by 16s rRNA sequencing. The isolates were further checked for their ability to produce extracellular lignolytic enzymes. The enzyme concentration was found to be significantly higher in the medium containing the microbial consortium than in those with the individual cultures. The consortium filtrate has MnP activity of 41.6 U/mL, LiP activity of 114.3 U/mL, and laccase activity of 61.85 U/mL at 72 hours of incubation. It was found that the enzyme activities were increased considerably until 72 hours of incubation but showed an insignificant increase at 96 hours.
Microstrip Patch Antenna
Authors: Kumar Pradeep , Gangwar Rachit , Yadav Nishant Kumar
Published: July 2022

Abstract: Performance parameters like return loss, voltage standing wave ratio, gain, and radiation pattern are calculated. Design frequency is 2.4 GHz, the copper-coated substrate material is RT Duroid 5880 having dielectric constant ε=2.2 and thickness is 1.6 mm. The feeding technique, employed in Microstrip patch Antenna is Microstrip 50 Ω feed line. employing a parametric study found that the proposed antenna design are useful for ISM band applications like Wi-Fi, Bluetooth, 2G/3G/LTE mobile communication systems.
Artificial Intelligence
Authors: Singh Anant Manish
Published: July 2022

Abstract: Artificial intelligence (A.I.) is a multidisciplinary field aimed at automating tasks that currently need human intelligence. Despite its lack of general familiarity, artificial intelligence (AI) is a technology that is revolutionizing every aspect of life. This article aims to educate laypeople about AI and encourage them to utilize it as a tool in many disciplines to rethink how we combine data, analyze it, and make choices. We quickly covered what artificial intelligence (AI) is, how it works, and how it may be applied in our daily lives in this article.
Detection of Fake Online Reviews using Semi-supervised and Supervised learning
Authors: D M Yashaswini
Published: July 2022

Abstract: Nowadays, when somebody wants to make some decisions about a product or a service everyone goes with the reviews as it has become an essential part of decision making. When a customer wants to order a product on an e commerce website firstly everyone checks the review section in detail and further proceeds for decision making about the product. If the reviews posted were satisfactory for the customer he may order the product thus reviews become a reputed parameter for the businesses and companies and also a great source of information for the customers. Every customer thinks that the reviews he/she is seeing is authentic and any manipulation in that from any individuals or any rival companies which may lead to fake data which will be labeled as fake reviews. This type of attempt if not noticed may let us think about the gen-unity of the data. So these reviews are the most important parameter for the businesses and companies. There exist some groups or persons who make use of these reviews to forge customers for their own interest or damage their competitors reputation. In order to solve this problem we uses Machine learning techniques(Supervised and semi-supervised) to detect whether the given review is fake or not with high accuracy. Along with this objective we also focus on developing models which need less data to train.Since we can’t always be able to get labeled data we use semi-supervised machine learning to make use of unlabeled data.It is understandable our model should be capable of giving results in reasonably less time. .In this paper we proposed many classification algorithm like Support Vector Machine algorithm (SVM) , Random Forest algorithm (RF) and deep neural network