Present Paper Research Articles

A Brief Insight into Nanotherapeutic Approaches in the Management of Analgesia

Background: Growing public awareness of chronic pain resulting from illness and injury has prompted pharmaceutical researchers and drug corporations to create better, more targeted painkillers. For effective pain management, prolonged analgesic medication delivery at the intended areas continues to be a major problem such as addiction, tolerance and other serious side effects, which can prolong suffering and decrease painkiller effectiveness. Objective: The present paper focuses on review of current advances in the field of pain treatment by different nanoparticles formulations of various drugs, by enhancing their pharmacokinetic factors and diminishing associated adverse effects. Results: According to literature survey, usage of nano-carriers enables the delivery of these drugs to target locations with less systemic toxicity. Nanotechnology for varied therapeutic purposes, different analgesics have been loaded onto different nano carriers, including those that are natural, synthetic, and polymeric and proven to be beneficial in pain management. Conclusion: Overall, new nano based preparations and new ways to utilize existing medications in a variety of circumstances is a multimodal approach to pain relief, have resulted in recent advancements in the pharmacological management of pain.

Quicklib: A Rapid Library Management Solution

QuickLib is a new kind of library management system that puts special focus on remote access features while streamlining resource monitoring, user administration, and cataloging. User convenience and accessibility are limited by the frequent lack of effective remote access options in traditional library management systems. QuickLib fills this need by enabling users to access library resources from any location with an internet connection. In comparison to conventional systems, QuickLib's efficiency, usability, and performance are highlighted in this paper's presentation of its architecture, implementation, and assessment. Findings show that QuickLib is more efficient in terms of speed, responsiveness, and user satisfaction than other solutions, which makes it a great tool for libraries and educational establishments looking to update their library services. Keywords— Library Management System, Remote Access, Efficiency, User-Centric Design

Energy consumption reduction in a building by free cooling using phase change material (PCM)

It is significantly important to implement energy storage systems nowadays. Latent heat thermal energy storage (LHTES) systems contain numerous advantages as a result of their small temperature variation and higher energy storage densities during storage. The present paper deals with the cooling load of a room in Zanjan, Iran using Carrier software. Then, a free cooling system using commercial paraffin RT25 was numerically analyzed as phase change material (PCM) while investigating the effects of the flow rate of the storage tank and inlet air temperature overcharging and discharging procedures. Based on cold energy storage simulation, by airflow with the temperature of 20°C at night, the paraffin is solidified in 4 h. Stored cold energy of 1.4 kW in PCM releases energy through a free cooling system within 2.1 h of July afternoon in the room.

Hermite subdivision schemes for manifold-valued Hermite data

This paper introduces a family of subdivision schemes that generate curves over manifolds from manifold-Hermite data. This data consists of points and tangent directions sampled from a curve over a manifold. Using a manifold-Hermite average based on the De Casteljau algorithm as our main building block, we show how to adapt a geometric approach for curve approximation over manifold-Hermite data. The paper presents the various definitions and provides several analysis methods for characterizing properties of both the average and the resulting subdivision schemes based on it. Demonstrative figures accompany the paper's presentation and analysis.

On the boundedness of $B$-Riesz potential and its commutators on generalized weighted $B$-Morrey spaces

In the present paper, we shall investigate a characterization for the boundedness of the $B$-Riesz potential and its commutators on the generalized weighted $B$-Morrey spaces. We also give a characterization for the generalized weighted $B$-Morrey spaces via the boundedness of the Riesz potential and its commutators generated by generalized translate operators associated with Laplace-Bessel differential operator.

A corpus-based study of word-formation creativity in Facebook Philippine English

<span lang="EN-US">This paper is a study of English as a second language (ESL) teachers’ and students’ newly coined Facebook (FB) lexical items and expressions. It presents sample FB Philippine English (PhilE) words found in ESL teachers’ and students’ FB posts and messages and the formation mechanisms evident in the lexical items. The lexical items are culled from the researchers-built 50,000-word corpus of FB and FB Messenger conversations posted and sent by the mentioned texts’ contributors from the last quarter of 2016 to 2022. The PhilE neologisms are identified from their surrounding English lexical items and analyzed based on a proposed framework for PhilE word-formation processes, and ESL Englishes well-motivated innovations and criteria in standardizing its usages. Data analysis reveals over a hundred PhilE lexical items that are coined through the analytical frameworks used with the present paper’s additional proposed processes for FB lexical formation, hypocoristic extension, and anagrammatic transposition or backward spelling. The lexical items, in general, are colloquial, marking the informality of the FB PhilE register, although written in English. In terms of lexicon, it is advanced that FB English in the country is a variety of Internet PhilE, which should be taught in Sociolinguistics and ESL classrooms.</span>

Update of SB9 orbits using HERMES/Mercator radial velocities

Aims. By combining astrometric orbits (delivered in large numbers by the Gaίa mission) with spectroscopic orbits for systems with two observable spectra (SB2), it is possible to derive the masses of both stellar components. However, to get masses with a good accuracy requires accurate spectroscopic orbits, which is the primary aim of the present paper. A subsidiary aim is to discover SB2 systems hiding among known SB1 systems and even though this search may often prove unsuccessful, the acquired radial velocities may still be used to improve the existing spectroscopic orbits. Methods. New radial velocities for 58 binary systems from the Ninth Catalogue of Spectroscopic Binary Orbits (SB9), obtained using the high-resolution HERMES spectrograph installed on the 1.2 m Mercator telescope, were used to possibly identify hitherto undetected SB2 systems. For SB1 systems with inaccurate orbits, we used these new radial-velocity measurements to improve the orbital accuracy. Results. This study provides 51 orbits (41 SB1 and 10 SB2) that have been improved with respect to the solution listed in the SB9 catalogue, out of the 58 SB9 orbits studied, which belong to 56 stellar systems. Among them, there are five triple and four quadruple systems. Despite the high resolution of HERMES, the only system we detected as anew SB2 system is HIP 115142 A. The B component of the visual binary HIP 92726 has now been found to be a spectroscopic system as well, which makes HIP 92726 a newly discovered quadruple system (SB 1+SB 1). Moreover, the high resolution of HERMES has enabled us to better isolate the signature of the secondary component of HIP 12390, HIP 73182, and HIP 111170. Thus, we derived more accurate masses for them. Among the 30 SB also present in Gaia Data Release 3 (DR3), with periods shorter than the Gaia DR3 time span (~1000 d), only five had been flagged as binaries by DR3. Various DR3 selection criteria are responsible for this discrepancy.

Electrical discharge reproduction in rod-barrier-plane system

The present paper deals with new modeling to reproduce the electric discharge in the rod-plane air gap system with rubber insulating barrier under AC and impulse voltage. This model considers the randomness character of discharge evolution which is governed by the electric field. The discharges shape obtained by this model are compared with ones given by experimental tests. The established model reproduces correctly the forms of discharges obtained by experimental tests under AC voltage. It is found that the behavior of the electrical discharge depends not only on the dimension (thickness and width) of the insulating barriers but on its positions in the air gap as well. It is to highlight that the mode of applied voltage is of key importance barrier. Experimental investigation shows that the developed arc can evolve on 1 to 4 channels. The generated discharges in AC voltage distinguish by the formation of a multiple-channel arc. Whereas, the discharge under lightning impulse voltage found to progress in a single channel whatever the barrier position and dimensions. The model confirms that electric field is the most important factor in the behavior of the rod-insulating barrier-plane system submitted to high voltage.

Analysis of preferences of households for choosing heating and cooling systems: A discrete choice analysis in Iran

The residential sector uses a large fraction of energy for heating and cooling to provide comfort conditions for households. Technical features of appliances are determining factors of the demand for energy. The present paper thus aims to study the determinants of household adoption decision by applying the discrete choice model. Households face with unordered choice, and multinomial and mixed logit models are employed to study the heterogeneity of choices of households related to heating and cooling technologies. While most of the research works have considered preferences based on cross-sectional data collected through discrete choice experiments, the present study employs micro-level household survey data including observed preferences in order to contribute to better understanding of the actual choice behavior of households. In addition, the dynamic effect of variation of variables on the household preferences have been investigated over time. The results show that heterogenous preferences of families in choosing appliances are affected by socio-demographic characteristics. Analysis of marginal effects indicate that urbanization, education, building type and households expenditure are the most effective parameters. The level of education has the most positive impact on the adoption of wall-mounted package and split air conditioner where the probability of using them has increased by 1.65% and 4.87%, respectively. On the other hand, high education level reduces the probability of gas heater and fan adoption by 3.49% and 3.43%. The estimated results show that urbanization increases the probability of choosing central heating by 3.73% and split air conditioner by 6.1% while it decreases the adoption probability of oil heater by 5.02% and fan as by 8.9%.

Optimising O&M scheduling in offshore wind farms considering weather forecast uncertainty and wake losses

Offshore wind farms, while strategically positioned to maximise wind energy capture, are exposed to harsh environments, impacting their reliability and accessibility. Low reliability and accessibility in turn translate into high Operation and Maintenance (O&M) costs, which represent approximately 30% of the total lifetime costs of the project. One approach to reduce O&M costs is to improve maintenance planning decisions. The present paper presents a novel O&M scheduling methodology for offshore wind farm operations based on wind and wave forecasts. The methodology forecasts farm yield considering farm wake effects to identify optimal operation schedules, vessel routing, and turbine maintenance sequences that minimise costs and revenue losses due to downtime. Weather forecast uncertainty is modelled and integrated into the decision-making process to minimise weather risks. A case study inspired by the WindFloat Atlantic floating wind project was used to demonstrate the optimisation potential. Results suggest that adopting the proposed methodology over business-as-usual scheduling significantly boosts offshore wind farm operational profits during the forecasted period, with increases ranging from 2% to 24%, depending on the scenario considered. It was found that integrating the wind farm wake losses into the scheduling decisions can improve the optimal scheduling solution and further minimise total operation costs.

Psychedelic-assisted therapy for people with gambling disorder?

Gambling disorder is a severe mental health and behavioural problem with harmful consequences, including financial, relationship and mental health problems. The present paper initiates discussion on the use of psychedelics combined with psychotherapeutic support as a potential treatment option for people living with a gambling disorder. Recent studies have shown promising results using psychedelic-assisted therapy (PAT) to treat anxiety, depression, post-traumatic stress disorder, and various substance use disorders. Considering the similarities in the underlying psychosocial and neurobiological mechanisms of gambling disorder and other addictive disorders, the authors suggest that psychedelic-assisted therapy could be effective in treating gambling disorder. The paper also underscores the need for further research into the viability and effectiveness of psychedelic-assisted therapy for gambling disorder.

Effects of e-learning on master EFL students’ academic achievement: A case study

The rationale of the present paper is to investigate the effectiveness of e-learning anent the students' academic achievement in English a a foreign language. A case study has been conducted  at the Department of Letters and English Language by taking into consideration the students from two different Master sections at Ain-Temouchent university namely, 'Didactics and Applied Linguistics' and 'Literature and Civilization'. Through the use of an online questionnaire, the results revealed that the majority of the respondents under investigation approve the idea that e-learning has a positive impact on the academic performance and success of the learners, and that e-learning can be a complementary aspect to classroom learning for the best possible outcomes as regards academic achievement. 

A comprehensive parametric study and multi-objective optimization of turbulent jet array impingement for uniform cooling of gas turbine blades with minimized compression power

In the present paper, a comprehensive parametric study and multi-objective optimizations on jet array impingement cooling are conducted for mid-chord sections of gas turbine blades to maximize the heat transfer uniformity on the target plate and minimize the air compression power consumption at different desired Nusselt numbers. The validated numerical method based on RANS equations is utilized to determine the effects of Reynolds number (2500≤Re≤35000), jet spacings (3≤Px,Py≤8), and the jet-to-target distance (0.75≤Pz≤3) on air compression power (Wc), average Nusselt number (Nu‾), and heat transfer uniformity index (UI). According to the parametric study, the increase of Re improves Nu‾ and UI, while intensively increasing Wc. The effect of jet-to-target distance is a function of jet spacings; with the increase of Pz at low jet spacings, Wc,Nu‾, and UI are reduced. Although, at large spacings, Nu‾ and UI increase with Pz, and Wc is independent of Pz. Additionally, the increase of Px decreases Wc, Nu‾, and UI. Increasing Py reduces Nu‾ and Wc. But at small Px and Pz, the UI is descending; while at large Px and Pz, the UI tends to ascend. Three high-accuracy surrogate models are developed using backpropagation artificial neural networks (ANN) for estimating Wc, Nu‾, and UI for input design variables. Sobol global sensitivity analysis is also performed based on the developed models for quantifying the influence of design variables and their interactions on objective functions. As expected, the results indicate that Wc and Nu‾ are the most sensitive to Re, and UI is mainly affected by Px, whereas Py is more affecting the uniformity index rather than compression power. Finally, to find out the best design and flow conditions, optimizations are conducted by the NSGA-II algorithm. The optimal Pareto frontier and final decided solutions by TOPSIS and LINMAP methods are then demonstrated for the desired Nusselt number (NuD) of 70. The TOPSIS method indicates Px=4.70, Py=3.25, Pz=1.40, and Re = 13800 as the best compromise for optimization. The analysis of Pareto solutions in the range of NuD from 35 to 130 suggests a variety of optimal flow and geometrical arrangements for a trade-off between objective functions; therefore, at most, 50% less compression power or 5% more uniformity is approachable corresponding to the design requirements.

A Proposal for the Identity of the Inner Asian City of Ornas (Hornach) Mentioned in Thirteenth-Century Latin Sources

Ornas (also Hornach) appears in the mentions of several Latin authors in the mid-thirteenth century as an important city deep in Asia that had been conquered by the Mongols. There have been several past suggestions by scholars for its identity; the scattered mentions of Ornas (Hornach) have been variously suggested to refer to Tana, Otrar, or Konye-Urgench. The present paper argues that these references, though confused on matters of geography since the Western European authors were writing about largely unknown regions that they did not personally visit, are typically references to the city of Konye-Urgench. The Latin authors’ descriptions of its fall to the Mongols unquestionably draw parallels with Middle Eastern, Rus’, Chinese, and Mongol accounts. This paper argues that the Latin references to Ornas’ proximity to a nearby sea are related to the Aral Sea which had southerly stretches very close to Konya-Urgench as is indicated, for instance from Russian survey maps of the nineteenth century. This identification allows us to place John of Plano Carpini’s description of the fall of Ornas within a larger, cohesive narrative which, though confused on points, offers insights on the fall of the Khwarazmian Empire in the early 1220s.

Uncovering the interactions and potentials of magnesium and boron nitride nanostructures for magnesium-ion batteries

In present research paper, relationships between a magnesium atom and a magnesium ion (Mg2+) were examined with four different nanostructures: a boron nitride nanotube and a boron nitride nanocone. Our goal was to determine cell voltage (V) values for Mg-ion batteries (MIBs). We conducted calculations employing ωB97XD level of theory and 6-31G(d) basis set to analyze total energy, optimize the geometry, and examine the frontier molecular orbitals. The DFT calculations provided clarification regarding the energy adsorption changes (Ead) between the Mg2+ ion and nanostructures, indicating that the order of Ead is BN tube > BN cone. However, the nanocone exhibits the highest Vcell value, and alterations in Vcell for Mg-ion batteries follow order of BN cone > BN tube. Present research provides theoretical insights into the potential of magnesium as an anode material in batteries, highlighting its favorable Vcell.

AI-powered oral cancer detection: A breakthrough in dental diagnostics

Oral cancer is a global issue that poses challenges in both diagnosis and treatment. About 50% of cases are detected at an advanced stage, leading to a low 5-year survival rate. Visual assessments are conventionally employed in dental clinics for the detection of oral cancer, but, their precision is greatly influenced by the proficiency and knowledge of the practitioner, which can significantly differ. Furthermore, the subjective character of these tests might lead to inconsistencies in the diagnosis, hence increasing the probability of either an under- or overdiagnosis. Moreover, the diagnosis of oral cancer entails a substantial emotional burden as a result of protracted and intricate medical interventions, which in turn induces considerable worry in patients. In recent times, artificial intelligence has begun to assist in the diagnosis of oral cancer through many methods. AI-based diagnostic systems have the capability to analyse large amounts of data, including intraoral camera pictures, radiographs, and advanced imaging like MRI or CT scans. This allows them to detect even small changes and enhance image analysis. Thus, the present paper discusses the ways AI powered oral cancer detection can reduce the risks and increase accuracy to give better quality of life to patients.

Melatonin facts: Melatonin lacks immuno-inflammation boosting capacities at the molecular and cellular levels

Among the properties melatonin is claimed to possess, are the immuno-inflammation inductive capacities that would be responsible of some of the paramount of activities melatonin is reported to have in most of the human pathological conditions. In the present paper, we measured the effect of melatonin on established cellular models of immuno-inflammation, and found none. The discrepancies are discussed, especially because those properties are reported at pharmacological concentration (1 μM and beyond) at which the melatonin receptors are desensitized by internalization, leading to putative non-receptor-dependent mechanism of action.

The Build-Up Construction for Codes over a Commutative Non-Unitary Ring of Order 9

The build-up method is a powerful class of propagation rules that generate self-dual codes over finite fields and unitary rings. Recently, it was extended to non-unitary rings of order 4, to generate quasi self-dual codes. In the present paper, we introduce three such propagation rules to generate self-orthogonal, self-dual and quasi self-dual codes over a special non-unitary ring of order 9. As an application, we classify the three categories of codes completely in length at most 3, and partially in lengths 4 and 5, up to monomial equivalence.

Starlikeness and close-to-convexity involving certain differential inequalities

In the present paper, we study certain differential inequalities involving meromorphic functions in the open unit disk and obtain certain sufficient conditions for starlikeness and close-to-convexity of meromorphic functions. Mathematics Subject Classification (2010): 30C45, 30C80. Received 06 April 2021; Accepted 11 October 2022

The Analysis of Sub-Synchronous Resonance in a Wind Farm for a Doubly-Fed Induction Generator Using Modern Analytical Method

The occurrence of Sub-Synchronous Resonance (SSR) phenomena can be attributed to the interaction that takes place between wind turbine generators and series-compensated transmission lines. The Doubly-Fed Induction Generator (DFIG) is widely recognized as a prevalent generator form employed in wind energy conversion systems. The present paper commences with an extensive exposition on modal analysis techniques employed in a series of compensated wind farms featuring Doubly Fed Induction Generators (DFIGs). The system model encompasses various components, including the aerodynamics of a wind turbine, an induction generator characterized by a sixth-order model, a second-order two-mass shaft system, a series compensated transmission line described by a fourth-order model, controllers for the Rotor-Side Converter (RSC) and the Grid-Side Converter (GSC) represented by an eighth-order model, and a first-order DC-link model. The technique of eigenvalue-based SSR analysis is extensively utilized in various academic and research domains. The eigenvalue technique depends on the initial conditions of state variables to yield an accurate outcome. The non-iterative approach, previously employed for the computation of initial values of the state variables, has exhibited issues with convergence, lack of accuracy, and excessive computational time. The comparative study evaluates the time-domain simulation outcomes under different wind speeds and compensation levels, along side the eigenvalue analysis conducted using both the suggested and non-iterative methods. This comparative analysis is conducted to illustrate the proposed approach efficacy and precision. The results indicate that the eigenvalue analysis conducted using the proposed technique exhibits more accuracy, as it aligns with the findings of the simulations across all of the investigated instances. The process of validation is executed with the MATLAB program. Within the context of the investigation, it has been found that increasing compensation levels while simultaneously decreasing wind speed leads to system instability. Therefore, modifying the compensation level by the current wind speed is advisable.