Attractive Field Research Articles

Global research trend on yoga intervention in educational systems

Yoga is being used as a mind-body complementary and alternative medicine intervention to help people with specific physical and mental health issues. In terms of the study area, yoga is an attractive field with various scopes and also contributes to scientific research. In this context, the current study is simply aimed at fully identifying the function of yoga intervention on students in academic institutions, as well as evaluating the available research data in this sector. A search query of relevant keywords was strategized and optimized to extract the information of research articles published from 1992 to 2021 from the “Dimention.ai” database. The obtained dataset was analyzed using PRISMA to evaluate the effect of interventions. The results indicate that the United States has published the maximum number of scholarly publications (553) among all countries. If we talk about organisation Swami Vivekananda Yoga Anusandhana Samsthana from India has published the most of the articles (39) in the field of yoga education. The journal “Mindfulness” (14) and author “Shirley Telles” (14) from the “Patanjali Research Foundation-India” have published the highest scholarly articles. In the bibliometric coupling of distinct clusters, the strongest link strengths among the authors, countries, and organizations were observed for “Khalsa, Satbir S.” (4915), “The United States” (47347), and “Harvard University” (8485), respectively. The current study indicated that yoga education studies have a huge spectrum of publications. Moreover, these bibliometric indicators provide significant endpoints to evaluate research output productivity and quality. The study's findings aid in developing a framework for additional research in the field of yoga and its usage in the academic environment.

Mushrooms as a Resource for Mibyou-Care Functional Food; The Role of Basidiomycetes-X (Shirayukidake) and Its Major Components

Mibyou has been defined in traditional oriental medicine as a certain physiological condition whereby an individual is not ill but not healthy; it is also often referred to as a sub-healthy condition. In a society focused on longevity, “Mibyou-care” becomes of primary importance for healthy lifespan expenditure. Functional foods can play crucial roles in Mibyou-care; thus, the search for novel resources of functional food is an important and attractive research field. Mushrooms are the target of such studies because of their wide variety of biological functions, such as immune modulation and anti-obesity and anticancer activities, in addition to their nutritional importance. Basidiomycetes-X (BDM-X; Shirayukidake in Japanese) is a mushroom which has several attractive beneficial health functions. A metabolome analysis revealed more than 470 components of both nutritional and functional interest in BDM-X. Further isolation and purification studies on its components using radical scavenging activity and UV absorbance identified ergosterol, (10E,12Z)-octadeca-10,12-dienoic acid (CLA), 2,3-dihydro-3,5-dihydroxy-6-methyl-4H-pyran-4-one (DDMP), formyl pyrrole analogues (FPA), including 4-[2-foemyl-5-(hydroxymethyl)-1H-pyrrole-1-yl] butanamide (FPAII), adenosine and uridine as major components. Biological activities attributed to these components were related to the observed biological functions of BDM-X, which suggest that this novel mushroom is a useful resource for Mibyou-care functional foods and medicines.

Mass transfer effects on mucus fluid in the presence of chemical reaction

The mucus fluid vehicle is impacted by the synthetic response that changes the physical science of liquid due to the thickness of the bodily fluid. Additionally, various issues in the respiratory system might happen because of bodily fluid adequacy. A central point of transportation of immunizations to forestall COVID-19 is the concentration level expected during movement, stockpiling, and dispersion. The current review stated that mucus fluid transportation is restrained through magnetic force originating due to heat variation. Permeable channel over respiratory disease and chemicals due to mass reaction–diffusion variation. The bodily fluid development is surveyed by the force, energy, and diffusion condition influence of body powers because of attractive field, source of heat cause of thermal conduction, resistance due to disease chemical reaction cause of concentration profile. The nonlinear arrangement of incomplete differential conditions is addressed by the Laplace transform technique, and MATLAB programming outcomes are initiated for momentum, temperature, and diffusion fields and inferred that the bodily fluid stream decelerates due to magnetic force. The skin friction, Nusselt number, Sherwood number, and the microorganism’s thickness are assessed and explained exhaustively. Furthermore, microorganisms are occupied in different elements to survey the mucus fluid mechanism.

Tailoring Natural-Based Oleogels Combining Ethylcellulose and Virgin Coconut Oil

Oleogels are becoming an attractive research field, since they have recently been shown to be feasible for the food and pharmaceutical sectors and provided some insights into the biomedical area. In this work, edible oleogels were tailored through the combination of ethylcellulose (EC), a gelling agent, with virgin coconut oil (VCO), vegetable oil derived from coconut. The influence of the different EC and VCO ratios on the structural, physical, and thermal properties of the oleogels was studied. All EC/VCO-based oleogels presented a stable network with a viscoelastic nature, adequate structural stability, modulable stiffness, high oil-binding capability, antioxidant activity, and good thermal stability, evidencing the EC and VCO’s good compatibility.

Behavior Competence in Sport Management

Sports management is the process of working with people and material resources to effectively accomplish the goals of sports organizations. An intriguing paradox makes sports management an attractive field to be studied: Business Management competing with People Management. The highlight that can be made is that people management reflects how much leaders are able to perceive the individual and collective characteristics of the members of the work teams and their value in enabling personal and organizational results. The perceived studies were obtained through a systematic literature review about behavioral skills in sports management from the perspective of leadership in the reality of Sports Management as a whole. Objective: To identify the behavioral competencies described in the literature in managers working in the field of sport. Results: behavioral competencies are diagnosed through conceptual maturation, reflections on actions aligned with the conceptions of organizations and values of the sport. Conclusion: Behavioral competencies were identified in several referring terms, such as interpersonal skills, human formation process, self-awareness, emotional attachment, and leadership attitudes. There is a considerable gap in the investigation of the performance of sports managers with regard to their relationship with their peers. There is still a tendency toward diagnostic identification of process management to the detriment of people management. Keywords: Leadership, sport, sports teams, behavioral skills, sport management.

Emerging application for stimuli-sensitive materials in theranostic

Upsurge appropriate to novel nanomaterial’s and nanotechnologies has enlivened specialists who are making progress toward planning more securemore proficient medication conveyance frameworks inasmuch as malignant growth treatment. Improvements responsive nanomaterial offeredchoice towards plan controllable medication conveyance framework by virtue appropriate to its spatiotemporally controllable properties. Furthermore, outside improvements (light, attractive field and ultrasound) could form into theranosticapplications inasmuch as customized medication use as result appropriate to their one appropriate to kind qualities. Include this survey, we give concise outline aboutcritical advances difficulties appropriate to certain external stimuli responsive frameworks that have been broadly researched include drug conveyance theranostics insidemost recent couple appropriate to years.

Effects of ammonium persulfate on coconut wood (Cocos nucifera L.) cellulose, hemicellulose, and lignin polymers: Improved sound absorption capacity

AbstractThe rational design of sound absorption boards made of wood materials is an attractive field of research. This article describes a simple and low‐cost ammonium persulfate treatment on coconut wood cell walls (Cocos nucifera L.). Reaction parameters such as concentration of reactant and reaction time were optimized. The results of different instrumental characterization such as X‐ray photoelectron spectroscopy, X‐ray diffraction, attenuated total reflectance–Fourier transforms infrared spectroscopy, and scanning electron microscope supports the chemical alterations of the wood cell wall. The quantitative analysis of hemicellulose, cellulose, and lignin was performed. The significant changes in cell‐walls enhanced average sound absorption coefficient at each frequency range: 60.4% at 500–1000 Hz (t = −10.593 and p < 0.001), 80.8% at 1000–2000 Hz (t = −4.798 and p < 0.001), 96.2% at 2000–4000 Hz (t = −58.527 and p < 0.001) and 83.0% at 500–64000 Hz (t = −51.261 and p < 0.001). It is due to the increment of gas permeability (288.3%, p = <0.001). These results could be beneficial for new research on wood‐based sound absorption materials to regulate the acoustic environment in houses.

An improved MOPSO algorithm for optimal sizing & placement of distributed generation: A case study of the Tunisian offshore distribution network (ASHTART)

Investigation of power distribution systems is an attractive field in the power system analysis. The location and size of Distributed Generation (DG) are important and an uncontrollable choice might result in a negative impact on the system’s behavior. This paper presents an improved approach for optimum simultaneous DG placement and sizing to reduce power loss and improve the voltage profile and the stability of distribution networks. Numerous methods have been used for solving this difficult combinatorial problem like Particle Swarm Optimization (PSO) algorithm used in this work. The suggested MOPSO method combined with MATPOWER toolbox was tested on standard IEEE 33-bus and IEEE 69-bus radial distribution networks (RDN) throw different scenarios. The major contribution of this paper was that the procedure was applied to the Tunisian electricity distribution network (ASHTART) of the SEREPT (Society for Research and Exploitation of Petroleum) to prove the efficiency of applying this method on real-world systems. This paper will also compare the proposed method with previous findings methods and the obtained results testify to the robustness and effectiveness of the improved MOPSO algorithm in terms of reduction in total active power losses (TAPL), maximization of a percentage of minimum voltage improvement (%MVI), amelioration in voltage profiles and also maximization in voltage stability index (VSI) while finding the optimal location and size of the DG units (OPSDG).

Facile synthesis of nanomaterials as nanofertilizers: a novel way for sustainable crop production.

Nutrient fertilization plays a major role in improving crop productivity and maintaining soil fertility. In the last few decades, the productivity of current agricultural practices highly depends on the use of chemical fertilizers. Major drawback of traditional fertilizers is their low crop nutrient use efficiency and high loss into water. Nanomaterial in agriculture is a multipurpose tool for increasing growth, development, and yield of plants. Nanotechnology facilitates the amplifying of agriculture production by reducing relevant losses and improving the input efficiency. Nanotechnology has emerged as an attractive field of research and has various agriculture applications, especially the use of nano-agrochemicals to increase nutrient use efficiency and agricultural yield. Nanofertilizers are more effective as compared to chemical fertilizers due to their cost-efficient, eco-friendly, non-toxic, and more stable in nature. Overall, this chapter focuses on synthesis of nanofertilizers through physical, chemical, and biological methods. This chapter will also explore the use of nano-enabled fertilizers to enhance the nutrient use efficiency for sustainable crop production, and global food safety.

DECISION-MAKING PROCESS DURING ONLINE GAMBLING: AN INTEGRATION OF GLOBAL APPROACHES AND OTHER FACTORS (A CASE OF GEORGIA)

Since the dawn of the computer and internet era, many online users have exploded, and more people are using the Internet to spend their money online. Georgia is well-known and well-positioned as a regional gambling hotspot. Gambling is a strategically vital and financially lucrative industry for the country. Gambling business plays a crucial role in the Georgian economy by contributing to its budget revenues via income generated from licenses and spending of foreign tourists and increasing employment by hiring a steadily increased number of employees in the field. Gambling is a steadily growing industry with an increasing number of players raises several behavioral questions on why so many people decide to play online and the main factors that determine and affect their choices. Even though online gambling is a strategically important and financially attractive field for Georgia, it is, at the same time, a source of many social problems such as gambling addiction, the involvement of adults, and financial problems. Gamblers maintain behavioral habits by attempting to deny concerns and a false sense of control. As a result, gambling becomes the most important activity in a person's life. Its nature is so broad that it complicates the process and makes it difficult for gamblers to recover. Therefore, this case requires a thorough study from various perspectives. These aspects lack scientific studies of the local market or other related research papers that add novelty to the Georgian online gambling segment. This research examines several traditional approaches to gambling behavior, their proclivity for problem gambling, and the primary elements that influence it.

A Novel Approach for Cyclic Decompositions of Balanced Complete Bipartite Graphs into Infinite Graph Classes

Graph theory is considered an attractive field for finding the proof techniques in discrete mathematics. The results of graph theory have applications in many areas of social, computing, and natural sciences. Graph labelings and decompositions have received much attention in the literature. Several types of graph labeling were proposed for solving the problem of decomposing different graph classes. In the present paper, we propose a technique for labeling the vertices of a bipartite graph G with n edges, called orthogonal labeling, to yield cyclic decompositions of balanced complete bipartite graphs K n , n by the graph G . By applying the proposed orthogonal labeling technique, we had constructed decompositions of K n , n by paths, trees, one factorization, disjoint union of cycles, complete bipartite graphs, disjoint union of trees, caterpillars, and so forth. From the constructed results, we can confirm that the proposed orthogonal labeling technique is effective.

GENOMIC, EPIGENOMIC AND PROTEOMIC LANDSCAPING OF HEPATOCELLULAR CARCINOMA

Hepatocellular carcinoma (HCC) is one of the most common and fatal malignancy in humans and proves to be the third most common cause of cancer-related death. Thus, HCC contributes to major international health problem because its incidence is exponentially increasing in many countries. One of the main reasons for the lethality of HCC is the lack of diagnostic markers for early detection of the disease. At late stages, HCC shows a high clinical heterogeneity with poor prognosis i.e. high tumor recurrence is observed in 60-70% of cases within 5 years after surgery. One of the major reasons is that most patients with HCC were diagnosed at advanced stages. It is crucial to find out new therapeutic targets and novel diagnostic biomarkers for the early diagnosis and timely treatment of HCC and to develop preventive strategies and therapeutic interventions based on an improved understanding of molecular hepato carcinogenesis. Therefore, it is still urgent to further explore the exact molecular mechanisms of the development, progression, invasion, and metastasis of HCC. It has been shown that both genetic and epigenetic alterations are crucial for the initiation of HCC, thus making epigenetics a promising and attractive field for identifying the subset of patients at a high risk of recurrence and with dismal survival outcomes.However, the underlying molecular mechanisms remain unknown. Thus, it is urgent and important to dig the hub molecules and to uncover the key molecular mechanisms. Due to the advances made in research based on next generation sequencers, it is now possible to detect and analyse epigenetic abnormalities associated with cancer. In this review article we are trying to explore previously reported to play key role in HCC development and progression such as, DNA methylation, various histone modifications, chromatin remodelling, and non-coding RNA associated gene silencing are considered to be transcriptional regulatory mechanisms associated with gene expression changes.

Numerical investigation of design and operating parameter effects on permeability-differentiated alkaline fuel cell with metal foam flow field

• Effect of design and operating parameters are investigated and optimized numerically. • Temperature and pressure have different effect in different current density regions. • Anode metal foam thickness has significant effect while cathode is negligible. • Lower anode and higher cathode permeability lead to better performance. • Permeability-differentiated layout of metal foam flow fields is originally proposed. Metal foam (MF) material is recognized as an attractive flow field for the alkaline anion exchange membrane fuel cell (AAEMFC). In this paper, the effect of design parameters (MF thickness and permeability) and operating parameters (operating temperature and back pressure) are investigated and optimized through the numerical study. The maximum temperature of the AAEMFC with MF flow field is lower and temperature distribution is more uniform compared to that of AAEMFC with serpentine flow field. In general, the higher operating temperature decreases the cell performance slightly in the low current density region but enhances the cell performance obviously in the medium and high current density regions. The higher back pressure promotes the cell performance in the low current density region but decreases the cell performance in the high current density region. The anode MF thickness has the significant effect on the cell performance, and the thinner anode MF thickness benefits the cell performance. However, the effect of cathode MF thickness is relatively negligible. The lower permeability of the anode MF and higher permeability of cathode MF lead to the better performance. The permeability-differentiated layout of MFs in anode and cathode sides is proposed for the first time, and it is proven to improve the cell performance effectively due to the enhanced hydraulic permeation and membrane hydration. Electrochemical kinetics, thermal and water transport characteristics (including pressure drop, liquid water transport, membrane water distribution and ohmic loss) are analyzed in detail to explain the cell performance improvement.

Graph-based modeling using association rule mining to detect influential users in social networks

Information diffusion is an important and attractive field of research in the area of social network analysis, and is at the heart of many studies and applications of knowledge extraction and prediction. Most of these studies have focused on identifying the most influential users and predicting user participation. Nevertheless, despite the extensive research efforts that have been made to tackle these issues, there is still a need for approaches based on association rules mining and graph theory. In this study, we contribute to research in this field by introducing a novel graph-based approach that applies association rules mining to detect influential users. We argue that users influence each other, and that it is possible to predict a user’s interests and participation based on previous interactions in the social network. We introduce new concepts and algorithms for more efficient characterization of influential users, and develop an effective approach for the discovery of influencers by using association rule techniques to extract the hidden relationships between users. To evaluate the feasibility and effectiveness of our approach, we propose a new centrality measure called the completeness centrality, and perform an evaluation based on a case study selected from the literature. We then evaluate the effectiveness of the proposed centrality measure by using the susceptible-infected-recovered model and the overlapping similarity measure. The results demonstrate that our measure is feasible and effective for use in identifying influential spreaders, based on a comparison with existing centrality measures such as degree, betweenness, closeness, and eigenvector methods. Finally, to illustrate the efficiency of our approach, experiments were run on 25 generated diffusion graphs, and the results showed that our approach could achieve a high level of performance in terms of computational time for large-scale networks.

Facile synthesis of mesoporous nano Ni/NiO and its synergistic role as super adsorbent and photocatalyst under sunlight irradiation

Tailoring a material that has a synergistic role as an adsorbent and a photocatalyst for environmental application is an attractive field for research. This article presents a study of facile synthesis of NiO and Ni/NiO with a synergistic role as super adsorbents in the lake of light and photocatalysts under light irradiation. Nano flower-like mesoporous NiO and Ni/NiO were synthesized by the co-precipitation method. XRD, SEM, EDAX, XPS, BET, and DR/UV–Vis spectroscopy techniques were employed for samples’ analysis. The point of zero surface charge of prepared samples was detected by the batch equilibrium method. The adsorption efficiency was investigated in the absence of light using aniline blue as a pollutant model dye. The synergistic effect as an adsorbent and a photocatalyst was investigated under UV and sunlight irradiation. Different parameters affecting the adsorption in the dark have been optimized. The results showed that in the absence of light, the prepared samples are super adsorbents with a maximum adsorption capacity ranging from 210 to 230 mg g−1 and a removal % ranging from 95 to 100% within 2 h. Under UV or sunlight irradiation, the adsorbent/photocatalyst attained a dye removal % of 99.8% within 30 min. The adsorption data matched the pseudo-second-order model, and the equilibrium adsorption data showed compatibility with Langmuir model. The findings of experiments revealed that the adsorption is spontaneous, exothermic, and results in less entropy. Under sunlight irradiation, the dye removal efficiency increased by 19% in the case of Ni/NiO hybrid; it showed a removal efficiency of 99.5% within 30 min under sunlight irradiation versus 80% after 120 min in the dark.

Self-interacting particle-antiparticle system of bosons

The thermodynamic properties of a system of interacting boson particles and antiparticles at finite temperatures are studied within the framework of the thermodynamically consistent Skyrme-like mean-field model. The mean field contains both attractive and repulsive terms. Self-consistency relations between the mean field and thermodynamic functions are derived. We assume a conservation of the isospin density for all temperatures. It is shown that, independently of the strength of the attractive mean field, at the critical temperature ${T}_{\mathrm{c}}$ the system undergoes the phase transition of second order to the Bose-Einstein condensate, which exists in the temperature interval $0\ensuremath{\le}T\ensuremath{\le}{T}_{\mathrm{c}}$. We obtained that the condensation represents a discontinuity of the derivative of the heat capacity at $T={T}_{\mathrm{c}}$, and condensate occurs only for the component with a higher particle-number density in the particle-antiparticle system.

Catalytic Routes to Produce Polyphenolic Esters (PEs) from Biomass Feedstocks

Polyphenolic esters (PEs) are valuable chemical compounds that display a wide spectrum of activities (e.g., anti-oxidative effects). As a result, their production through catalytic routes is an attractive field of research. The present review aims to discuss recent studies from the literature regarding the catalytic production of PEs from biomass feedstocks, namely, naturally occurred polyphenolic compounds. Several synthetic approaches are reported in the literature, mainly bio-catalysis and to a lesser extent acid catalysis. Immobilized lipases (e.g., Novozym 435) are the preferred enzymes thanks to their high reactivity, selectivity and reusability. Acid catalysis is principally investigated for the esterification of polyphenolic acids with fatty alcohols and/or glycerol, using both homogeneous (p-toluensulfonic acid, sulfonic acid and ionic liquids) and heterogeneous (strongly acidic cation exchange resins) catalysts. Based on the reviewed publications, we propose some suggestions to improve the synthesis of PEs with the aim of increasing the greenness of the overall production process. In fact, much more attention should be paid to the use of new and efficient acid catalysts and their reuse for multiple reaction cycles.

The Important Double-Edged Role of Astrocytes in Neurovascular Unit After Ischemic Stroke.

In recent years, neurovascular unit (NVU) which is composed of neurons, astrocytes (Ast), microglia (MG), vascular cells and extracellular matrix (ECM), has become an attractive field in ischemic stroke. As the important component of NVU, Ast closely interacts with other constituents, which has been playing double-edged sword roles, beneficial or detrimental after ischemic stroke. Based on the pathophysiological changes, we evaluated some strategies for targeting Ast in treating ischemic stroke. The present review is focused on the roles of Ast in NVU and its complex signaling molecular network after ischemic stroke, which may be a prospective approach to the treatment of ischemic diseases in central nervous system.

A Funnel Type PVDF Underwater Energy Harvester with Spiral Structure Mounted on the Harvester Support.

For the purpose of stably supplying electric power to the underwater wireless sensor, the energy harvesting technology in which a voltage is obtained by generating displacement in a piezoelectric material using flow-induced vibration is one of the most attractive research fields. The funnel type energy harvester (FTEH) with PVDF proposed in this study is an energy harvester in which the inlet has a larger cross-sectional area than the outlet and a spiral structure is inserted to generate a vortex flow at the inlet. Based on numerical analysis, when PVDF with L = 100 mm and t = 1 mm was used, the electric power of 39 μW was generated at flow velocity of 0.25 m/s. In experiment the average RMS voltage of FTEH increased by 0.0209 V when the flow velocity increased by 1 m/s. When measured at 0.25 m/s flow velocity for 25 s, it was shown that voltage doubler rectifier (VDR) generated a voltage of 133.4 mV, 2.25 times larger than that of full bridge rectifier (FBR), and the energy charged in the capacitor was 44.3 nJ, 14% higher in VDR than that of the FBR. In addition, the VDR can deliver power of 17.75 μW for 1 k load. It is shown that if the voltage generated by the FTEH using the flow velocity is stored using the VDR electric circuit, it will greatly contribute to the stable power supply of the underwater wireless sensor.

Modeling the First-Order Molecular Hyperpolarizability Dispersion from Experimentally Obtained One- and Two-Photon Absorption.

The search for optical materials, particularly organic compounds, is still an attractive and essential field for developing several photonic devices and applications. For example, some applications are based on light scattering with twice the energy of the incoming photon for selected compounds, that is, the nonlinear optical effect related to the second-order susceptibility term from the electronic polarization expression. The microscopic interpretation of this phenomenon is called the first-order molecular hyperpolarizability or incoherent second harmonic generation of light. Understanding such phenomena as a function of the incoming wavelength is crucial to improving the optical response of future materials. Still, the experimental apparatus, hyper-Rayleigh scattering, apparently simple, is indeed a challenging task. Therefore, we proposed a proper alternative to obtain the dispersion of the first-order hyperpolarizability using the well-known one- and two-photon absorption techniques. By the spectral analysis of both the spectra, we gathered spectroscopic parameters and applied them for predicting the first-order hyperpolarizability dispersion. This prediction is based on an n-level energy system, taking into account the position and magnitude of transition dipole moments and the difference between the permanent dipole moment of the n-excited states. Moreover, using the presented method, we can avoid underestimating the first-order hyperpolarizability by not suppressing higher-energy transitions. Quantum chemical calculations and the hyper-Rayleigh scattering technique were used to validate the proposed method.