bluuebunny/crossref_metadata_2025 huggingface dataset:
Remarks on Regularized Stokeslets in Slender Body Theory
Authors: Ohm Laurel
Published: August 2021

We remark on the use of regularized Stokeslets in the slender body theory (SBT) approximation of Stokes flow about a thin fiber of radius ϵ>0. Denoting the regularization parameter by δ, we consider regularized SBT based on the most common regularized Stokeslet plus a regularized doublet correction. Given sufficiently smooth force data along the filament, we derive L∞ bounds for the difference between regularized SBT and its classical counterpart in terms of δ, ϵ, and the force data. We show that the regularized and classical expressions for the velocity of the filament itself differ by a term proportional to log(δ/ϵ); in particular, δ=ϵ is necessary to avoid an O(1) discrepancy between the theories. However, the flow at the surface of the fiber differs by an expression proportional to log(1+δ2/ϵ2), and any choice of δ∝ϵ will result in an O(1) discrepancy as ϵ→0. Consequently, the flow around a slender fiber due to regularized SBT does not converge to the solution of the well-posed slender body PDE which classical SBT is known to approximate. Numerics verify this O(1) discrepancy but also indicate that the difference may have little impact in practice.
The Development and Psychometric Properties of an Education Well-Being Scale among Elementary School Students
Authors: Chen Po-Lin
Published: August 2021

The purpose of this study is to develop a tool that can measure the educational well-being of elementary school students and to analyze the fit of the developed instrument. The measurement tool was based on four levels which include: (1) parents’ support, (2) teachers’ care, (3) students’ care in school, and (4) peer cooperation. It also had eight facets which include: (1) basic need, (2) family companionship, (3) happy learning, (4) teacher-student interaction, (5) safety protection, (6) school rules, (7) peer learning, and (8) peer interaction. The participants of this study were grades 5 and 6 students in Taiwan. Pre-testing with 197 grade 6 students was done to assess the validity and reliability of the developed scale. For the formal study, a total of 960 grade 6 students and 834 grades 5 and 6 students were recruited to join. The data collected underwent item analysis, reliability estimation, and confirmatory factor analysis. The results of the analyses were as follows: (1) the confirmatory factor analysis supported the four latent factors of the educational well-being scale; (2) the Cronbach’s alpha ranged from 0.73 to 0.89 for the elementary school students; (3) the cross-validation analysis with split-half samples implies that the study had a well-constructed stability model and that the scale had construct validity; and (4) the average scores of grade 5 students on the 8 facets and their overall score on educational well-being were all significantly higher than that of grade 6 students. Finally, several suggestions were proposed for future studies based on the results obtained.
Resilience of Medication Adherence Practices in Response to Life Changes: Learning from Qualitative Data Obtained during the COVID-19 Pandemic
Authors: Ahmed Mushfique , Wheeler Carly , Franklin Bryony Dean , Begum Rabia , Garfield Sara
Published: August 2021

Nonadherence to medicines is widespread and can adversely affect health outcomes. Previous research has identified that patients develop their own strategies to assist with adherence. However, such research has not focused on how the helpfulness of these strategies may change in response to changes in patients’ circumstances. This study aimed to explore resilience of medication adherence to life changes. It involved secondary thematic analysis of the verbatim transcripts of 50 semi-structured interviews that were conducted with adults who were advised to shield or were over the age of 70 during the first wave of the COVID-19 pandemic in the UK. Interview data suggested that resilience of medication adherence varied between participants. Participants either reported that they had not used any specific strategies to remind them to take their medicines prior to the pandemic, that the strategies that they had employed prior to the pandemic remained effective during the pandemic, that they had needed to make some adjustments to the strategies used, or that the strategies they had used were no longer effective. In addition, beliefs about medicines and motivation to take them were altered for some participants. These findings suggest that challenges associated with medication adherence do not always remain stable over time and that healthcare professionals need to continue to monitor and support medication adherence long-term.
Detection of Early Onset Carnitine Palmitoyltransferase II Deficiency by Newborn Screening: Should CPT II Deficiency Be a Primary Disease Target?
Authors: Mador-House Rachel , Liu Zaiping , Dyack Sarah
Published: August 2021

Early-onset carnitine palmitoyltransferase II deficiency (CPT II deficiency) (OMIM 600650) can result in severe outcomes, which are often fatal in the neonatal to infantile period. CPT II deficiency is a primary target in the Maritime Newborn Screening Program. We report a case of neonatal-onset CPT II deficiency identified through expanded newborn screening with tandem mass spectrometry. Identification through newborn screening led to early treatment interventions, avoidance of metabolic decompensation, and a better clinical outcome. Newborn screening for CPT II deficiency is highly sensitive and specific with no false positives identified. The only screen positive case detected identified a true positive case. This experience illustrates the importance of newborn screening for CPT II deficiency and demonstrates why reconsideration should be taken to add this disease as a primary newborn screening target.
A Node Localization Algorithm for Wireless Sensor Networks Based on Virtual Partition and Distance Correction
Authors: Meng Yinghui , Zhi Qianying , Dong Minghao , Zhang Weiwei
Published: August 2021

The coordinates of nodes are very important in the application of wireless sensor networks (WSN). The range-free localization algorithm is the best method to obtain the coordinates of sensor nodes at present. Range-free localization algorithm can be divided into two stages: distance estimation and coordinate calculation. For reduce the error in the distance estimation stage, a node localization algorithm for WSN based on virtual partition and distance correction (VP-DC) is proposed in this paper. In the distance estimation stage, firstly, the distance of each hop on the shortest communication path between the unknown node and the beacon node is calculated with the employment of virtual partition algorithm; then, the length of the shortest communication path is obtained by summing the distance of each hop; finally, the unknown distance between nodes is obtained according to the optimal path search algorithm and the distance correction formula. This paper innovative proposes the virtual partition algorithm and the optimal path search algorithm, which effectively avoids the distance estimation error caused by hop number and hop distance, and improves the localization accuracy of unknown nodes.
Dynamic Response Analysis of a Bulk Carrier by Nonlinear Hydroelastic Method
Authors: Chen Zhanyang , Gui Hongbin , Liao Xiyu , Du Mengchao
Published: August 2021

With increasing demands for huge ship dimensions and the wide use of high-strength steel, the influence of slamming and elastic structure on structural strength cannot be ignored. Therefore, in this paper, a three-dimensional (3D) nonlinear hydroelastic theory is introduced, in which the nonlinear hydrostatic restoring force caused by instantaneous wetted surface as well as slamming force are taken into consideration, and the bending moments with/without slamming effects are calculated, respectively. Numerical simulations of the dynamic response of a flexible hull at different speeds are carried out using the finite element analysis software MSC/PATRAN. By comparison with the results of classical beam theory, the accuracy of the dynamic analysis method is studied. Finally, the dynamic response method is compared with the quasi-static method and classical beam theory. By analyzing and quantifying the influence of forward speed and nonlinear factors on structural responses, the reasonable applicable conditions for different methods are discussed, which can be used as reference in the structure design of bulk carriers.
Pharmacogenomics: From Basic Research to Clinical Implementation
Authors: Scheinfeldt Laura B.
Published: August 2021

The established contribution of genetic variation to drug response has the potential to improve drug efficacy and reduce drug toxicity [...]
Phase Formation, Microstructure and Permeability of Fe-Deficient Ni-Cu-Zn Ferrites, (I): Effect of Sintering Temperature
Authors: Priese Christoph , Töpfer Jörg
Published: August 2021

We have studied the densification, phase formation, microstructure, and permeability of stoichiometric and Fe-deficient Ni-Cu-Zn ferrites of composition Ni0.30Cu0.20Zn0.50+zFe2-zO4-(z/2) with 0 ≤ z ≤ 0.06 sintered at temperatures from 900 °C to 1150 °C. The shrinkage is shifted from 1000 °C for z = 0 towards lower temperatures and reaches its maximum rate at 900 °C for z = 0.02. Stoichiometric ferrites show regular growth of single-phase ferrite grains if sintered at Ts ≤ 1100 °C. Sintering at 1150 °C leads to the formation of a small amount of Cu2O, triggering exaggerated grain growth. Fe-deficient compositions (z > 0) form Cu-poor stoichiometric ferrites coexisting with a minority CuO phase after sintering at 900–1000 °C. At Ts ≥ 1050 °C, CuO transforms into Cu2O, and exaggerated grain growth is observed. The formation of Cu oxide second phases is investigated using XRD, SEM, and EDX. The permeability of the ferrites increases with sintering temperature up to a maximum permeability of µ = 230 for z = 0 or µ = 580 for z = 0.02, respectively, at Ts = 1000 °C. At higher sintering temperatures, the permeability decreases, which is due to the formation of a microstructure with intra-crystalline porosity in large grains, and a non-magnetic Cu oxide grain boundary phase.
An Asymptotic Solution for Call Options on Zero-Coupon Bonds
Authors: Tomas Michael J. , Yu Jun
Published: August 2021

We present an asymptotic solution for call options on zero-coupon bonds, assuming a stochastic process for the price of the bond, rather than for interest rates in general. The stochastic process for the bond price incorporates dampening of the price return volatility based on the maturity of the bond. We derive the PDE in a similar way to Black and Scholes. Using a perturbation approach, we derive an asymptotic solution for the value of a call option. The result is interesting, as the leading order terms are equivalent to the Black–Scholes model and the additional next order terms provide an adjustment to Black–Scholes that results from the stochastic process for the price of the bond. In addition, based on the asymptotic solution, we derive delta, gamma, vega and theta solutions. We present some comparison values for the solution and the Greeks.
Applications of Membranes for Sustainability
Authors: Jegatheesan Veeriah , Visvanathan Chettiyappan , Shu Li , Hai Faisal I. , Dumée Ludovic F.
Published: August 2021

Applications of membranes in water and wastewater treatment, desalination, as well as other purification processes, have become more widespread over the past few decades [...]
Modified Zeolite/Polysulfone Mixed Matrix Membrane for Enhanced CO2/CH4 Separation
Authors: Anbealagan Lanisha Devi , Ng Tiffany Yit Siew , Chew Thiam Leng , Yeong Yin Fong , Low Siew Chun , Ong Yit Thai , Ho Chii-Dong , Jawad Zeinab Abbas
Published: August 2021

In recent years, mixed matrix membranes (MMMs) have received worldwide attention for their potential to offer superior gas permeation and separation performance involving CO2 and CH4. However, fabricating defect-free MMMs still remains as a challenge where the incorporation of fillers into MMMs has usually led to some issues including formation of undesirable interfacial voids, which may jeopardize the gas separation performance of the MMMs. This current work investigated the incorporation of zeolite RHO and silane-modified zeolite RHO (NH2–RHO) into polysulfone (PSf) based MMMs with the primary aim of enhancing the membrane’s gas permeation and separation performance. The synthesized zeolite RHO, NH2–RHO, and fabricated membranes were characterized by X-ray diffraction (XRD) analysis, Fourier transform infrared-attenuated total reflection (FTIR-ATR), thermogravimetric analysis (TGA) and field emission scanning election microscopy (FESEM). The effects of zeolite loading in the MMMs on the CO2/CH4 separation performance were investigated. By incorporating 1 wt% of zeolite RHO into the MMMs, the CO2 permeability and ideal CO2/CH4 selectivity slightly increased by 4.2% and 2.7%, respectively, compared to that of a pristine PSf membrane. On the other hand, a significant enhancement of 45% in ideal CO2/CH4 selectivity was attained by MMMs incorporated with 2 wt% of zeolite NH2-RHO compared to a pristine PSf membrane. Besides, all MMMs incorporated with zeolite NH2-RHO displayed higher ideal CO2/CH4 selectivity than that of the MMMs incorporated with zeolite RHO. By incorporating 1–3 wt% zeolite NH2-RHO into PSf matrix, MMMs without interfacial voids were successfully fabricated. Consequently, significant enhancement in ideal CO2/CH4 selectivity was enabled by the incorporation of zeolite NH2–RHO into MMMs.
Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review
Authors: Wang Yannan , Cao Lingling , Cheng Zhongfu , Blanpain Bart , Guo Muxing
Published: August 2021

This paper focusses on three main numerical methods, i.e., the Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS) methods. The formulation and variation of different RANS methods are evaluated. The advantage and disadvantage of RANS models to characterize turbulent flows are discussed. The progress of LES with different subgrid scale models is presented. Special attention is paid to the inflow boundary condition for LES modelling. Application and limitation of the DNS model are described. Different experimental techniques for model validation are given. The consistency between physical experimentation/modelling and industrial cases is discussed. An emphasis is placed on the model validation through physical experimentation. Subsequently, the application of a turbulence model for three specific flow problems commonly encountered in metallurgical process, i.e., bubble-induced turbulence, supersonic jet transport, and electromagnetic suppression of turbulence, is discussed. Some future perspectives for the simulation of turbulent flow are formulated.
Readout Circuits for Capacitive Sensors
Authors: Yoo Yongsang , Choi Byong-Deok
Published: August 2021

The development of microelectromechanical system (MEMS) processes enables the integration of capacitive sensors into silicon integrated circuits. These sensors have been gaining considerable attention as a solution for mobile and internet of things (IoT) devices because of their low power consumption. In this study, we introduce the operating principle of representative capacitive sensors and discuss the major technical challenges, solutions, and future tasks for a capacitive readout system. The signal-to-noise ratio (SNR) is the most important performance parameter for a sensor system that measures changes in physical quantities; in addition, power consumption is another important factor because of the characteristics of mobile and IoT devices. Signal power degradation and noise, which degrade the SNR in the sensor readout system, are analyzed; circuit design approaches for degradation prevention are discussed. Further, we discuss the previous efforts and existing studies that focus on low power consumption. We present detailed circuit techniques and illustrate their effectiveness in suppressing signal power degradation and achieving lower noise levels via application to a design example of an actual MEMS microphone readout system.
Skin Wound Healing: Normal Macrophage Function and Macrophage Dysfunction in Diabetic Wounds
Authors: Aitcheson Savannah M. , Frentiu Francesca D. , Hurn Sheree E. , Edwards Katie , Murray Rachael Z.
Published: August 2021

Macrophages play a prominent role in wound healing. In the early stages, they promote inflammation and remove pathogens, wound debris, and cells that have apoptosed. Later in the repair process, they dampen inflammation and secrete factors that regulate the proliferation, differentiation, and migration of keratinocytes, fibroblasts, and endothelial cells, leading to neovascularisation and wound closure. The macrophages that coordinate this repair process are complex: they originate from different sources and have distinct phenotypes with diverse functions that act at various times in the repair process. Macrophages in individuals with diabetes are altered, displaying hyperresponsiveness to inflammatory stimulants and increased secretion of pro-inflammatory cytokines. They also have a reduced ability to phagocytose pathogens and efferocytose cells that have undergone apoptosis. This leads to a reduced capacity to remove pathogens and, as efferocytosis is a trigger for their phenotypic switch, it reduces the number of M2 reparative macrophages in the wound. This can lead to diabetic foot ulcers (DFUs) forming and contributes to their increased risk of not healing and becoming infected, and potentially, amputation. Understanding macrophage dysregulation in DFUs and how these cells might be altered, along with the associated inflammation, will ultimately allow for better therapies that might complement current treatment and increase DFU’s healing rates.
Bee Venom: From Venom to Drug
Authors: Khalil Abdelwahab , Elesawy Basem H. , Ali Tarek M. , Ahmed Osama M.
Published: August 2021

Insects of the order Hymenoptera have a defensive substance that contains many biologically active compounds. Specifically, venom from honeybees (Apis mellifera) contains many enzymes and peptides that are effective against various diseases. Different research papers stated the possibility of using bee venom (a direct bee sting or in an injectable form) in treating several complications; either in vivo or in vitro. Other reports used the active fractions of bee venom clinically or at labratory scale. Many reports and publications have stated that bee venom and its constituents have multiple biological activities including anti-microbial, anti-protozoan, anti-cancer, anti-inflammatory, and anti-arthritic properties. The present review aims to refer to the use of bee venom itself or its fractions in treating several diseases and counteracting drug toxicities as an alternative protocol of therapy. The updated molecular mechanisms of actions of bee venom and its components are discussed in light of the previous updated publications. The review also summarizes the potential of venom loaded on nanoparticles as a drug delivery vehicle and its molecular mechanisms. Finally, the products of bee venom available in markets are also demonstrated.
Green Multi-Platform Solution for the Quantification of Levodopa Enantiomeric Excess in Solid-State Mixtures for Pharmacological Formulations
Authors: Biancolillo Alessandra , Battistoni Stefano , Presutto Regina , Marini Federico
Published: August 2021

The aim of the present work was to develop a green multi-platform methodology for the quantification of l-DOPA in solid-state mixtures by means of MIR and NIR spectroscopy. In order to achieve this goal, 33 mixtures of racemic and pure l-DOPA were prepared and analyzed. Once spectra were collected, partial least squares (PLS) was exploited to individually model the two different data blocks. Additionally, three different multi-block approaches (mid-level data fusion, sequential and orthogonalized partial least squares, and sequential and orthogonalized covariance selection) were used in order to simultaneously handle data from the different platforms. The outcome of the chemometric analysis highlighted the quantification of the enantiomeric excess of l-DOPA in enantiomeric mixtures in the solid state, which was possible by coupling NIR and PLS, and, to a lesser extent, by using MIR. The multi-platform approach provided a higher accuracy than the individual block analysis, indicating that the association of MIR and NIR spectral data, especially by means of SO-PLS, represents a valid solution for the quantification of the l-DOPA excess in enantiomeric mixtures.
Coupling between Polymer Conformations and Dynamics Near Amorphous Silica Surfaces: A Direct Insight from Atomistic Simulations
Authors: Bačová Petra , Li Wei , Behbahani Alireza F. , Burkhart Craig , Polińska Patrycja , Doxastakis Manolis , Harmandaris Vagelis
Published: August 2021

The dynamics of polymer chains in the polymer/solid interphase region have been a point of debate in recent years. Its understanding is the first step towards the description and the prediction of the properties of a wide family of commercially used polymeric-based nanostructured materials. Here, we present a detailed investigation of the conformational and dynamical features of unentangled and mildly entangled cis-1,4-polybutadiene melts in the vicinity of amorphous silica surface via atomistic simulations. Accounting for the roughness of the surface, we analyze the properties of the polymer chains as a function of their distance from the silica slab, their conformations and the chain molecular weight. Unlike the case of perfectly flat and homogeneous surfaces, the monomeric translational motion parallel to the surface was affected by the presence of the silica slab up to distances comparable with the extension of the density fluctuations. In addition, the intramolecular dynamical heterogeneities in adsorbed chains were revealed by linking the conformations and the structure of the adsorbed chains with their dynamical properties. Strong dynamical heterogeneities within the adsorbed layer are found, with the chains possessing longer sequences of adsorbed segments (“trains”) exhibiting slower dynamics than the adsorbed chains with short ones. Our results suggest that, apart from the density-dynamics correlation, the configurational entropy plays an important role in the dynamical response of the polymers confined between the silica slabs.
Effect of Diet and Dietary Components on the Composition of the Gut Microbiota
Authors: Beam Ashley , Clinger Elizabeth , Hao Lei
Published: August 2021

Diet and dietary components have profound effects on the composition of the gut microbiota and are among the most important contributors to the alteration in bacterial flora. This review examines the effects the “Western”, “plant-based”, “high-fat”, “medical ketogenic”, and “Mediterranean” diets have on the composition of the gut microbiota in both mice and human subjects. We show that specific dietary components that are commonly found in the “plant-based” and “Mediterranean” diet play a role in shifting the microbial composition. This review further evaluates the bacterial metabolites that are associated with diet, and their role in systemic inflammation and metabolic endotoxemia. Furthermore, the associations between diet/dietary components and altering bacterial composition, may lead to potential therapeutic targets for type II diabetes, obesity, and inflammatory diseases.
Molecular Detection of Trypanosoma spp. in Questing and Feeding Ticks (Ixodidae) Collected from an Endemic Region of South-West Australia
Authors: Krige Anna-Sheree , Thompson R. C. Andrew , Seidlitz Anke , Keatley Sarah , Wayne Julia , Clode Peta L.
Published: August 2021

A growing number of indigenous trypanosomes have been reported to naturally infect a variety of Australian wildlife with some species of Trypanosoma implicated in the population decline of critically endangered marsupials. However, the mode of transmission of Australian trypanosomes is unknown since their vectors remain unidentified. Here we aimed to fill this current knowledge gap about the occurrence and identity of indigenous trypanosomes in Australian invertebrates by conducting molecular screening for the presence of Trypanosoma spp. in native ticks collected from south-west Australia. A total of 231 ticks (148 collected from vegetation and 83 retrieved directly from 76 marsupial hosts) were screened for Trypanosoma using a High-Resolution Melt (HRM) qPCR assay. An overall Trypanosoma qPCR positivity of 37% (46/125) and 34% (26/76) was detected in questing ticks and host-collected (i.e., feeding) ticks, respectively. Of these, sequencing revealed 28% (35/125) of questing and 28% (21/76) of feeding ticks were infected with one or more of the five species of trypanosome previously reported in this region (T. copemani, T. noyesi, T. vegrandis, T. gilletti, Trypanosoma sp. ANU2). This work has confirmed that Australian ticks are capable of harbouring several species of indigenous trypanosome and likely serve as their vectors.
A New Conformal Cooling System for Plastic Collimators Based on the Use of Complex Geometries and Optimization of Temperature Profiles
Authors: Mercado-Colmenero Jorge Manuel , Torres-Alba Abelardo , Catalan-Requena Javier , Martin-Doñate Cristina
Published: August 2021

The paper presents a new design of conformal cooling channels, for application in collimator-type optical plastic parts. The conformal channels that are presented exceed the thermal and dynamic performance of traditional and standard conformal channels, since they implement new sections of complex topology, capable of meeting the high geometric and functional specifications of the optical part, as well as the technological requirements of the additive manufacturing of the mold cavities. In order to evaluate the improvement and efficiency of the thermal performance of the solution presented, a transient numerical analysis of the cooling phase has been carried out, comparing the traditional cooling with the new geometry that is proposed. The evolution of the temperature profile versus the thickness of the part in the collimating core with greater thickness and temperature, has been evaluated in a transient mode. The analysis of the thermal profiles, the calculation of the integral mean ejection temperature at each time of the transient analysis, and the use of the Fourier formula, show great improvement in the cycle time in comparison with the traditional cooling. The application of the new conformal design reduces the manufacturing cycle time of the collimator part by 10 s, with this value being 13% of the total manufacturing cycle of the plastic part. As a further improvement, the use of the new cooling system reduces the amount of thickness in the collimator core, which is above the ejection temperature of the plastic material. The improvement in the thermal performance of the design of the parametric cooling channels that are presented not only has a significant reduction in the cycle time, but also improves the uniformity in the temperature map of the collimating part surface, the displacement field, and the stresses that are associated with the temperature gradient on the surface of the optical part.
The Effect of Absorbable and Non-Absorbable Sutures on Nasal Width Following Cinch Sutures in Orthognathic Surgery
Authors: Wang Po-Fang , Pascasio Dax Carlo , Kwon Soo Ha , Chen Shih-Hsien , Chou Pang-Yun , Yao Chuan-Fong , Chen Ying-An , Lin Cheng-Hui , Chen Yu-Ray
Published: August 2021

Background: Non-absorbable materials (nylon) are always used in cinch sutures to maintain nasal width and to improve harmonious facial symmetry in orthognathic surgery. However, a few drawbacks of nylon materials have been clinically reported following orthognathic surgery, such as nasal irritation and exposure of the sutures. An absorbable material (PDS) has been proposed in cinch sutures, not only to avoid the complications of nylon but also to stabilize the nasal width for a long-term follow-up. Methods: Fifty-seven patients with Angle’s malocclusion classification III receiving orthognathic surgery were enrolled in this study. A non-absorbable material (nylon) and an absorbable material (PDS) were utilized for the cinch sutures. Pre-operative (T1) and post-operative six-month (T2) craniofacial 3D images were collected for all patients to measure the alar curvature (Ac) width and the alar base (Al) width. A significance level of p < 0.05 was applied in the statistical analysis. Results: With the approval of IRB, cinch suturing was performed with nylon in 29 patients and with PDS in 28 patients. Pre-operative Ac and Al distances showed no significant difference between these two groups. There were also no significant differences between the suture materials in the peri-operative change in nasal width, including Ac (nylon: 1.999 ± 1.40; PDS: 1.484 ± 0.97; p = 0.112) and Al (nylon: 1.861 ± 1.66; PDS: 1.115 ± 0.92; p = 0.056). Conclusions: For cinch sutures in orthognathic surgery, PDS can maintain the peri-operative nasal width similarly to nylon; additionally, it can be absorbed in a timely manner without the drawbacks of non-absorbable materials.
Comparative Assessment of Methods for Coupling Regional and Local Groundwater Flow Models: A Case Study in the Beijing Plain, China
Authors: Liu Sida , Zhou Yangxiao , Xie Mingzhao , McClain Michael , Wang Xu-Sheng
Published: August 2021

A coupled regional and local model is required when groundwater flow and solute transport are to be simulated in local areas of interest with a finer grid while regional aquifer boundary and major stresses should be retained with a coarser grid. The coupled model should also maintain interactions between the regional and local flow systems. In the Beijing Plain (China), assessment of managed aquifer recharge (MAR), groundwater pollution caused by rivers, capture zone of well fields, and land subsidence at the cone of depression requires a coupled regional and local model. This study evaluates three methods for coupling regional and local flow models for simulating MAR in the Chaobai River catchment in the Beijing Plain. These methods are the conventional grid refinement (CGR) method, the local grid refinement (LGR) method and the unstructured grid (USG) method. The assessment included the comparison of the complexity of the coupled model construction, the goodness of fit of the computed and observed groundwater heads, the consistency of regional and local groundwater budgets, and the capture zone of a well filed influenced by the MAR site. The results indicated that the CGR method based on MODFLOW-2005 is the easiest to implement the coupled model, capable of reproducing regional and local groundwater heads and budget, and already coupled with density and viscosity dependent model codes for transport simulation. However, the CGR method inherits shortcomings of finite difference grids to create multiple local models with inefficient computing efforts. The USG method based on MODFLOW-USG has the advantage of creating multi-scale models and is flexible to simulate rivers, wells, irregular boundaries, heterogeneities and the MAR site. However, it is more difficult to construct the coupled models with the unstructured grids, therefore, a good graphic user interface is necessary for efficient model construction. The LGR method based on MODFLOW-LGR can be used to create multiple local models in uniform aquifer systems. So far, little effort has been devoted to upgrade the LGR method for complex aquifer structures and develop the coupled transport models.
Socio-cultural adaptation of new religious organizations
Authors:   Faculty of Cultural Studies and Socio-Cultural Technologies of the Perm State Institute of Cultur, Goryunov D.V.
Published: August 2021

The paper deals with the problem of socio-cultural adaptation of new religious organizations in a local object — in the Perm region. The highlighted aspect of this problem is the missionary activity of these religious organizations in the context of inter-confessional relations. A model of creative humanitarian interaction of new religious organizations with the public and authorities is proposed.
Comprehension of spiritual experience in Christianity in the works of I.A. Ilyin
Authors:   department “Theology” of the Slavic-Greek-Latin Academy, Panyshev A.L.
Published: August 2021

This paper is devoted to the theme of spiritual experience in the works of the Russian philosopher I.A. Ilyin. The books of this thinker emphasize that spiritual experience is subjective, unique and individual, which determines the personality in a person. These ideas are consistent with the fact that a feature of the religious worldview is the formation of the concept of personality. Meanwhile, for the post-industrial and information society, the factors that shape a person's personality are very important, especially in the modern world, where functional unit of social relations is a single person.
Plato's Gestalt. About the only book by Heinrich Friedemann translated into Russian
Authors:   Department of Theory and History of Culture, Russian State Pedagogical University named after A.I. Herze, Dokuchaev I.I.
Published: August 2021

The paper contains a review of the book by Heinrich Friedemann “Plato. His gestalt”, published in Russian translation by the publishing house “Vladimir Dal”. The only book by Friedemann, who was part of the circle of the German poet Stefan Gheorghe, is devoted to identifying the essence of the philosophical path — gestalt, which consists in overcoming the crisis of philosophical knowledge through the acquisition of its true subject — the world of ideas. Gestalt is a living knowledge of the essence of being, opposed to empirical observation and schematic abstraction carried out on the basis of such observations. The Gestalt of philosophy is concrete and living knowledge, because it represents the action and path of a philosopher. This path, once implemented by Plato, is interpreted by Friedemann as the path of humanity to perfection, associated with the unity of truth, goodness and beauty. Plato's Gestalt, recreated by Friedemann, is not only the task of philosophy, but also the goal of European and world culture.
On the question of studying the examination system during the reign of the Manchu Qing Dynasty. The image of a student in the stories of Pu Songling
Authors:   Department of Foreign History, Political Science and International Relations, Institute of History, Political and Social Sciences, Petrozavodsk State University, Smirnova Nataliya Vladimirovna
Published: August 2021

The stories of the Chinese writer Pu Songling about the extraordinary are well known all over the world: there are translations in English, French, German and Spanish. The article, based on the study of the stories of Pu Songling in the translations of the outstanding Russian orientalist Vasiliy Mikhailovich Alekseev (1881-1951), presents the image of a student and the features of the examination system (keju) during the reign of the Manchu Qing Dynasty in China (1644-1911). The importance of fiction in the study of the content of the institution of state examinations is emphasized. Artistic images help to see the uniqueness and specificity of the keju system. Highly qualified translations of Liao Zhai's stories and V.M. Alekseev's comments create the image of a student - "a criminal in prison", "a bee frozen by the end of autumn", "a sick bird released from a cage", "a monkey on a leash", "a fly that has drunk poison", "a turtle dove whose eggs have broken". The materials of the article can be useful in preparing for classes in "History" study field. These stories allow considering the system of state examinations (keju) during the Qing Dynasty as a specific phenomenon of Chinese culture. The author considers three types of exams in the period of the Manchu Qing Dynasty - county-regional, provincial and metropolitan with a specific system of tasks and levels of difficulty for each level.
Encoding Gene Expression Using Deep Autoencoders for Expression Inference
Authors: Bhukya Raju
Published: August 2021

Gene expression of an organism contains all the information that characterises its observable traits. Researchers have invested abundant time and money to quantitatively measure the expressions in laboratories. On account of such techniques being too expensive to be widely used, the correlation between expressions of certain genes was exploited to develop statistical solutions. Pioneered by the National Institutes of Health Library of Integrated Network-Based Cellular Signature (NIH LINCS) program, expression inference techniques has many improvements over the years. The Deep Learning for Gene expression (D-GEX) project by University of California, Irvine approached the problem from a machine learning perspective, leading to the development of a multi-layer feedforward neural network to infer target gene expressions from clinically measured landmark expressions. Still, the huge number of genes to be inferred from a limited set of known expressions vexed the researchers. Ignoring possible correlation between target genes, they partitioned the target genes randomly and built separate networks to infer their expressions. This paper proposes that the dimensionality of the target set can be virtually reduced using deep autoencoders. Feedforward networks will be used to predict the coded representation of target expressions. In spite of the reconstruction error of the autoencoder, overall prediction error on the microarray based Gene Expression Omnibus (GEO) dataset was reduced by 6.6%, compared to D-GEX. An improvement of 16.64% was obtained on cross platform normalized data obtained by combining the GEO dataset and an RNA-Seq based 1000G dataset.
Measure of Singular Value Decomposition (M-SVD) based Quality Assessment for Medical Images with Degradation
Authors: Elbasi Ersin
Published: August 2021

We use images in several important areas such as military, health, security, and science. Images can be distorted during the capturing, recording, processing, and storing. Image quality metrics are the techniques to measure the quality and quality accuracy level of the images and videos. Most of the quality measurement algorithms does not affect by small distortions in the image. Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Ultrasonic Imaging (UI) are widely used in the health sector. Because of several reasons it might be artifacts in the medical images. Doctor decisions might be affected by these image artifacts. Image quality measurement is an important and challenging area to work on. There are several metrics that have been done in the literature such as mean square error, peak signal-noise ratio, gradient similarity measure, structural similarity index, and universal image quality. Patient information can be an embedded corner of the medical image as a watermark. Watermark can be considered one of the image distortions types. The most common objective evaluation algorithms are simple pixel based which are very unreliable, resulting in poor correlation with the human visual system. In this work, we proposed a new image quality metric which is a Measure of Singular Value Decomposition (M-SVD). Experimental results show that novel M-SVD algorithm gives very promising results against Peak Signal to Noise Ratio (PSNR), the Mean Square Error (MSE), Structural Similarity Index Measures (SSIM), and 3.4. Universal Image Quality (UIQ) assessments in watermarked and distorted images such as histogram equalization, JPEG compression, Gamma Correction, Gaussian Noise, Image Denoising, and Contrast Change.
Glaucoma Detection using Tetragonal Local Octa Patterns and SVM from Retinal Images
Authors: Nawaz Marriam , Nazir Tahira , Masood Momina
Published: August 2021

Glaucoma is a fatal disease caused by the imbalance of intraocular pressure inside the eye which can result in lifetime blindness of the victim. Efficient screening systems require experts to manually analyze the images to recognize the disease. However, the challenging nature of the screening method and lack of trained human resources, effective screening-oriented treatment is an expensive task. The automated systems are trying to cope with these challenges; however, these methods are not generalized well to large datasets and real-world scenarios. Therefore, we have introduced an automated glaucoma detection system by employing the concept of the Content-Based Image Retrieval (CBIR) domain. The Tetragonal Local Octa Pattern (T-LOP) is used for features computation which is employed to train the SVM classifier to show the technique significance. We have evaluated our method over challenging datasets namely, Online Retinal Fundus Image (ORIGA) and High-Resolution Fundus (HRF). Both the qualitative and quantitative results show that our technique outperforms the latest approaches due to the effective localization power of T-LOP as it computes the anatomy independent features and ability of Support Vector Machine (SVM) to deal with over-fitted training data. Therefore, the presented technique can play an important role in the automated recognition of glaucoma lesions and can be applied to other medical diseases as well.
Avanzâde Mehmet Süleyman'ın Muabbir yahut Yeni ve Mükemmel Tabirname'si
Authors: ERDOĞAN ÇELTİK Seher
Published: August 2021

Rüya insanlık için hâlâ bilinmezliklerini korur. Tarihe bakıldığında, hem Doğu'da hem de Batı'da rüyaya özel bir yer verildiği görülür. Özellikle Doğu ve Batı toplumlarındaki zihniyetin farkını ortaya koyması açısından rüya tabiri önem arz eder. Doğu'da ve Batı'da rüyalar üzerine hazırlanmış kayda değer çalışmalar bulunmaktadır. Bu çalışmalar incelendiğinde Doğu ve Batı'nın rüyaya değer vermiş olmakla birlikte ona yükledikleri mananın farklı boyutta olduğu da anlaşılır. İbni Sirin'in yedinci yüzyıldaki çalışmasından başlayarak günümüze kadar rüyaları yorumlayan tabirname isimli eserler kaleme alınmıştır. Türk edebiyatında da genellikle rüyaların tasavvufi yorumlarına dayanan eserler yazılmıştır. Batıda ise rüya bilimsel bir temele dayandırılmaya çalışılmıştır.Bu tek yönlü çalışmalar yanında Doğu ve Batı'nın rüyaya bakışını topluca değerlendiren çok yönlü alışmalara ihtiyaç vardır. Bu ihtiyacı karşılamak üzere Meşrutiyet dönemi aydınlarından Avanzâde Mehmet Süleyman'ın Muabbir yahut Yeni ve Mükemmel Tâbirname ismiyle bir eser yazdığını görmekteyiz. Yazar, bu dönemde eczacılıktan sağlığa, popüler bilimden gizli ilimlere, edebiyattan popüler tarihe kadar uzanan geniş alanda kalem oynatmış ve böylece halkı eğitmeyi amaçlamıştır. Söz konusu eseri de bu bağlamda değerlendirmek gerekir.Bu çalışmada Avanzâde Mehmet Süleyman'ın Muabbir yahut Yeni ve Mükemmel Tâbirname adlı eseri üzerinde durulmuştur. Yazarın neden böyle bir eser kaleme aldığı, bu eseri yazarken hangi kaynaklardan yararlandığı, eserin toplum açısından nasıl bir amaca hizmet ettiği gibi soruların cevapları ortaya konmaya çalışılmıştır.
Geç Dönem Çağatay Türkçesiyle Yazılmış Bir El Yazmasının Yazım, Ses ve Yapı Özellikleri Üzerine (Yazıçevrimli Metin–İnceleme)
Authors: KARASU Muhammed
Published: August 2021

Bu çalışmada, Geç Dönem Çağatay Türkçesiyle yazılmış bir hikâye güldestesi yazım, ses ve yapı özellikleri bakımından ele alınmıştır. Eser, Hicrî 1347 / Miladî 1929 yılında İsveçli misyoner ve dilbilimci Gunnar Hermansson tarafından çoğaltılmıştır. Doğu Türkistan kökenli eser, Lund Üniversitesi Kütüphanesi Jarring Koleksiyonunda bulunmaktadır. Çalışmamızda eserin bilgisayar ortamındaki biçiminden yararlanılmıştır.Giriş’te, çalışmamızın amacı ve kapsamı belirlenmiş, öneminden bahsedilmiştir. Çalışma yöntemi ve yazı çevirim kuralları da Giriş’e dâhil edilmiştir. Ardından incelenen eserin dış ve iç özellikleri ayrıntısıyla tanıtılmıştır. Yazı çevirimli metin, Türkiye’deki yazı çevirim kurallarına yakın olmakla birlikte metnimizde farklı yazı çevirim işaretleri de kullanılmıştır. Eserin yazı çevirimli metni kurulduktan sonra dil incelemesine geçilmiştir.İnceleme’de, yazı çevirimli metinden elde ettiğimiz bulgular değerlendirilmiştir. İnceleme üç kısımdan oluşmaktadır. Yazım, ses ve yapı özellikleri ayrı başlıklar altında toplanmıştır. Çağatay Türkçesinin dilbilgisi kurallarını tekrar etmek yerine eserde karşılaştığımız çarpıcı ve sıra dışı örneklere yer verilmiştir. İnceleme’de yazı çevirimli metinden yararlanıldığı gibi yer yer harf çevirime de başvurulmuştur.Sonuç’ta, eser hakkındaki çıkarımlar madde madde sıralanmıştır. Bu çıkarımlar bulgulardan elde edilen genel yorumları ifade etmektedir. Eserin tıpkıbasımına internet üzerinden ulaşılabildiği için burada yer verilmemiştir.
Karaçelebi-zâde Abdülazîz Efendi’nin Süleymân-nâmesi’ndeki Âlim Biyografilerinin Anlatım Özellikleri
Authors: KARAGÖZLÜ Volkan
Published: August 2021

Karaçelebi-zâde Abdülazîz Efendi’nin yazdığı Süleymân-nâme sadece tarih eseri olarak değerlendirilemeyecek özelliklere sahiptir. Kaynakların anlatımının hoş olduğu, süslü bir anlatıma sahip olduğu gibi değerlendirmelerle ele aldığı eser, Kanûnî Sultan Süleymân’ın tahta çıkışından ölümüne kadar olan olayları anlatır. Bunun yanında Kanûnî devri vezirler ve ulemânın hayatlarından da bahsedilen 17. yy.da yazılmış tek Süleymân-nâmedir. Çalışmada eserin son bölümü olan ulemâ biyografileri, anlatım özellikleri ve biyografilerin bilgiyi sunma biçimi bakımından incelenmiştir. Biyografilerde Osmanlı âlimlerinin hayatları kısa, orta uzun yazılarla anlatılmıştır. Bilginin sunulma biçimleri ve anlatım biçimleri olarak iki ana başlıkta incelenen biyografilerin birbirlerinden farklı olup olmadığı sogulanmıştır. Böylelikle eserin tamamının bir bütün olarak aynı anlatım biçimi ile yazılıp yazılmadığına karar verilecektir. Bu eser bağlamında, eser içinde veya bölümlerinde farklı anlatım biçimleri varsa eserin tamamının belirli, tek bir üslup ile yazıldığını ifade etmenin doğru olup olmadığı ile ilgili görüşler sunulacaktır. Bu görüşler ışığında klasik Türk edebiyatı mensur eserleri için sade, orta, süslü tabirlerinin kullanımı sorgulanacaktır.
Challenges for the Land Corridors of the ‘One Belt, One Road’ Project Challen
Authors: Śliwa Zdzisław
Published: August 2021

The paper aims to analyse the status and challenges related to the land corridors of the visionary ‘One Belt, One Road’ concept promoted by China. Its importance is connected with the global reach creating enormous opportunities for involved nations, and the thesis is that it will continue although there are significant obstacles to specific land corridors. The paper utilises qualitative research based on official documents and data related to the project applying analysis, critical synthesis, desk research, and comparative studies methods. Quantitative data are used only for case studies. The paper will allow comprehending the respective corridors and the whole project concerning security and corresponding nations’ interests.
The Influence of Contemporary Forms of Deviant Behavior on Public Security Aspects
Authors: Polyakova Irina
Published: August 2021

The author makes an attempt to describe the problem of developing the concept of risk assessment of people’s deviant online behavior, especially regarding children and young adults in social networks. The article emphasises risk factors, vulnerability, and deviant patterns in the context of such phenomena as aggressive, asocial, auto-aggressive, self-mutilating, suicidal, risk-taking and victim online behavior. Such behavioural disorders that mostly derive from “New digital reality”, definitely influence public security aspects and threaten the social sustainability. The novelty of the article is in an analysis of the spheres of social life where the government should adapt legislation to new realities of Russian society so as to decrease and prevent both deviant and delinquent behaviour.