bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing rainfall radar errors with an inverse stochastic modelling framework
Authors: Green Amy Charlotte , Kilsby Chris G. , Bárdossy András
Published: January 2024

Abstract. Weather radar is a crucial tool in rainfall estimation, providing high-resolution estimates in both space and time. Despite this, radar rainfall estimates are subject to many error sources – including attenuation, ground clutter, beam blockage and the drop-size distribution – with the true rainfall field unknown. A flexible stochastic model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard weather radar processing methods, imposing path-integrated attenuation effects, a stochastic drop-size distribution field, along with sampling and random errors. This can provide realistic weather radar images, of which we know the true rainfall field, and the corrected ‘best guess’ rainfall field which would be obtained if they were observed in the real-world case. The structure of these errors is then investigated, with a focus on frequency and behaviour of ‘rainfall shadows’. Half of simulated weather radar images have at least 3 % of significant rainfall rates shadowed and 25 % had at least 45 km2 containing rainfall shadows, resulting in underestimation of potential impacts of flooding. A model framework for investigating the behaviour of errors relating to the radar rainfall estimation process is demonstrated, with the flexible and efficient tool performing well at generating realistic weather radar images visually, for a large range of event types.
آلية التصنيف في المعاجم الالكترونيّة
Authors: سعاد بنت المختار بن محمود الخرّاط
Published: January 2024

أنتجت اللسانيّات الحاسوبيّة منذ البدء في الاشتغال عليها نظريّات لسانيّة ارتبطت بالحاسوب وبالنظم الإعلاميّة للحاسوب وسعت إلى برمجة اللغة برمجة الكترونيّة وإقامة المعاجم المختصّة والترجمة الآليّة. وأفرزت كذلك جملة من المصطلحات اقترنت بمنهج البحث، ومن بين هذه المصطلحات التي يمكن الاشتغال عليها في وضع المعاجم مصطلح الأسماء التصنيفيّة وهي آلية لسانيّة معتمدة في وضع المعاجم الالكترونيّة. وقد ظهر هذا المصطلح في اللسانيّات الحاسوبيّة خاصّة مع موريس قروس في نظريّة النحو المعجم وكذلك مع نظريّة الأصناف الدلالية لقاستون قروس صاحب نظريّة الأقسام الدلاليّة المتفرّعة عنها. وهاتان النظريّتان تهتمّان بوضع المعجم الالكتروني.

نسعى في هذا البحث إلى تسليط الضوء على هذه الآليّة اللسانيّة لا من الناحية النظريّة فحسب بل وأيضا من الناحية التطبيقيّة فنتناول مسألة التصنيف للأسماء في المعجم العربيّ قديما وحديثا، وذلك بالوقوف على بعض الأمثلة من قبيل "الغذاء" لنسلّط الضوء على كيفيّة تواردها مع مسانيدها وتقاطعها فيما بينها، ونميّز بين الاسم في الشاهد الاستعمالي والاسم التصنيفيّ.
توظيف التطبيقات التكنولوجية في تنمية المهارات اللغوية لدى طلبة كليتي الآداب واللغات بجامعة سبها
Authors: ميز محمد خليفة ضو  , علي إدريس علي أبوريمة
Published: January 2024

يهدف هذا البحث الي معرفة درجة استخدام وتوظيف التطبيقات التكنولوجية وفعاليتها في تعزيز تنمية المهارات اللغوية لدى طلاب كليتي اللغات والآداب بجامعة سبها، وتضمن البحث مشكلة اللغة والوظائف التي تؤديها والتي تنعكس على ضعف الاداء اللغوي الذي يقدمه المتعلمون، ومعرفة إذا كان هنالك علاقة دات دلالة احصائية بين التطبيقات التكنولوجية المستخدمة والمهارات اللغوية الأربعة (الاستماع -الحديث -القراءة -الكتابة) تعزي لبعض المتغيرات (الفصل الدراسي-النوع – القسم الدراسي– التطبيق المستخدم-الكلية). وثم استخدام استبيانين "التطبيقات التكنولوجية" و " المهارات اللغوية الاربعة"، من اعداد الباحثان واشتملت عينة البحث علي (60) طالب وطالبة من كليتي اللغات والآداب؛ واسفرت النتائج علي انه توجد فروق ذات دلالة إحصائية في درجة توظيف التطبيقات التكنولوجية لتنمية المهارات اللغوية لدى طلبة كليتي الآداب واللغات بجامعة سبها؛ بين كبيرة ومتوسطة في فقرات الاستبانة التي تبين درجة توظيف التطبيقات التكنولوجية ودورها في تنمية المهارات اللغوية لدى طلبة كليتي الآداب واللغات بجامعة سبها، وأنه في جميع الابعاد التطبيقات التكنولوجية والكلي للمهارات اللغوية ومهارتين (القراءة والتحدث) والأداة ككل لا توجد فروق ذات دلالة إحصائية في درجة توظيف التطبيقات التكنولوجية في تنمية المهارات اللغوية لدى طلبة كليتي الآداب واللغات بجامعة سبها عند المقارنة بين متوسطات المجموعات العينة وفقاً لمتغير( الفصل الدراسي- الجنس، التطبيقات- الكلية) بينما توجد فروق ذات دلالة إحصائية في درجة توظيف التطبيقات التكنولوجية في تنمية المهارات اللغوية لدى طلبة كليتي الآداب واللغات بجامعة سبها عند المقارنة بين متوسطات المجموعات العينة وفقاً لمتغير القسم الدراسي.
ANNEALING EFFECT ON UV DETECTION PROPERTIES OF ZnO:Al STRUCTURES
Authors: Nagpal Rajat , Chiriac Maxim , Sereacov Alexandr , Birnaz Adrian , Ababii Nicolai , Lupan Cristian , Buzdugan Artur , Sandu Iulia , Siebert Leonard , Pauporté Thierry , Lupan Oleg
Published: January 2024

The aim of this study was to develop low-powered, highly selective UV sensor to continuously monitor personalized UV exposure as well as to study annealing effect on UV detection properties of the sensors. ZnO:Al structures were obtained by chemical growth method followed by thermal annealing at 625 °C for 2 h. The studied samples exhibit maximal UV response of 620/488 at 25 °C/50 °C to 370 nm UV radiation before/after annealing, respectively. Thermal annealing of sensor (250 °C for 1 h) led to improvement in fall time from 3860 seconds to 262 seconds at 25 °C and highest responsivity (~48 mA/W) came out for 370 nm wavelength at 75 °C operating temperatures. Consequently, excellent selectivity for 370 nm UV illumination can be ascribed as due to thermal annealing effect which increases the crystallinity, grain size, and roughness of the sensing film. The PL measurements reveals the suppression of structural defects, increase in intensity after annealing and enhanced UV response due to presence of Al content in films. Overall, these structures showed magnificent UV properties, before and especially after additional thermal annealing. UV sensing mechanism of such nanomaterial-based sensor were explained with physio-chemical processes take place on the surface of these structures. The obtained results on annealed ZnO:Al films-based devices is superior to reported performances of other nanostructures, proving new results for UV sensing applications at different operating temperatures in various fields.
Monnaie, magie, pharmacologie : l’argent sauvera-t-il le monde ?
Authors:   Département de sociologie Université de Montréal, BISSONNETTE Jean François
Published: January 2024

Based on a critical reading of Alf Hornborg’s recent work, the article seeks to problematize the role that money could play in the perspective of a degrowth economy. To this end, it develops a “pharmacological” conception of money, which takes into account the constitutive ambivalence of this social institution. While its current functioning drives the environmental crisis, its reform could lead to reversing these harmful effects. In this light, it contrasts Hornborg’s proposal, which relies on money’s function as a means of exchange to achieve a relocalization of the economy, with the idea of a democratization of credit. It argues that the latter could better steer the transformation of our mode of production, so as to bring about a more just and sustainable economy.
La transition vers une prospérité durable - Un modèle macroéconomique écologique stock-flux cohérent pour le Canada
Authors:   Centre for the Understanding of Sustainable Prosperity, University of Surrey, Guildford, UK, JACKSON Tim , A. VICTOR Peter ,   Faculty of Environmental Studies, York University, Toronto, Canada
Published: January 2024

This paper presents a stock-flow consistent (SFC) macroeconomic simulation model for Canada. We use the model to generate three very different stories about the future of the Canadian economy, covering the half century from 2017 to 2067: a Base Case Scenario in which current trends and relationships are projected into the future, a Carbon Reduction Scenario in which measures are introduced specifically designed to reduce Canada's carbon emissions, and a Sustainable Prosperity Scenario which incorporates additional measures to improve environmental, social and financial conditions across society. The performance of the economy is tracked using two composite indicators constructed especially for this study: an environmental burden index (EBI) which describes the environmental performance of the model; and a composite sustainable prosperity index (SPI) which is based on a weighted average of seven economic, social and environmental performance indicators. Contrary to the widely accepted view, the results suggest that ‘green growth’ (in the Carbon Reduction Scenario) may be slower than ‘brown growth’. More importantly, we show (in the Sustainable Prosperity Scenario) that improved environmental and social outcomes are possible even as the growth rate declines to zero.
An Exploratory Study of Compensation Management of International Organizations: Focused on the UNMCK Case
Authors:   APEC Studies Association of Korea, Choi Gyoung-Gyu , Kim Jung-Jin
Published: January 2024

This paper compares the UN organization's employee compensation system to Korean government officials' wages, focusing on fairness perceptions among UN-affiliated employees. It analyzes how the International Management Committee's decisions on the compensation level of the UN Memorial Cemetery in Korea (UNMCK) influence employee expectations. Factors like work valuation, capacity, achievement, and pension payments shape fairness perceptions. The study highlights the importance of considering job types in cross-country pay comparisons and emphasizes assessing expertise in reference group formation. Findings reveal UNMCK employees' remuneration exceeds agreed levels for Korean officials due to recruitment methods, rank determination, and wage increases. Critical insufficiencies in severance pay regulations, provided without individual contributions, are noted. The paper recommends a new, fair, and rational compensation system, emphasizing transparency, accountability, and audit practices within extraterritorial jurisdiction. Further research on international organizations' human resource management, aligned with the Korean government's strategies, is proposed for talent attraction and management. In conclusion, the study underscores the importance of a fair UN compensation system, offering implications for international organizations and APEC member economies, emphasizing transparent and accountable compensation systems and effective governance.
A Study of Cultural Openness and Attitudes towards Global Brands among Chinese Consumers
Authors:   APEC Studies Association of Korea, f f , Han Bangwool
Published: January 2024

The purpose of this research is to investigate how cultural openness influences Chinese consumers’ attitudes towards global brands. This study further examines the moderating role of perceived brand quality and conspicuous consumption on the relationship between consumer cultural openness and attitudes towards global brands. Data was collected by conducting a survey among consumers in China. Linear regression was employed to examine the main effects of cultural openness and attitudes towards global brands. To test the moderating effects of perceived brand quality and conspicuous consumption, the PROCESS Macro model 1 was used. The results of this study show that consumers’ cultural openness positively influences their attitudes towards global brands while this effect is moderated by conspicuous consumption, with the positive influence of cultural openness strengthening for individuals with higher levels of conspicuous consumption. Additionally, the findings indicate that consumer perceptions of brand quality play a moderating role in the relationship between cultural openness and attitudes, resulting in a negative effect for consumers with high perceived brand quality. This research makes a valuable contribution to the field of international business and global marketing by exploring the relationships between consumer cultural factors and attitudes towards global brands. Additionally, the findings of this study provide international brand managers operating in developing markets meaningful insights when targeting specific market segments.
The Structural Shifts in Bitcoin’s Role as a Predictor of the KOSPI Index
Authors:   APEC Studies Association of Korea, Kim Jaeho , Park Sangmin
Published: January 2024

This paper explores the efficiency of the KOSPI market by examining its predictability, with a focus on the influence of Bitcoin returns during non-trading hours. Utilizing predictive models incorporating many financial assets, we find a significant predictive value in the Bitcoin return for the KOSPI return. We also identify a gradual structural break in the KOSPI-Bitcoin relationship, a shift from traditional market efficiency paradigms. This gradual transition, influenced by recent economic and regulatory changes, underscores potential arbitrage opportunities.
Efficient Solvers for Nonlinear Partial Differential Equations in Computational Fluid Dynamics
Authors: Mishra Nidhi
Published: January 2024

Improving the computational efficiency of solving nonlinear partial differential equations (PDEs) is a key area of focus for this research, which has the ability to significantly impact computational fluid dynamics (CFD) simulations. The complexities of fluid flow phenomena can be difficult for traditional methods to handle, leading to simulations that are resource-intensive and computationally slow. The urgent requirement for improved computational tools capable of quickly and precisely simulating complex fluid dynamics scenarios is the driving force behind the significance of this research. New approaches are needed to solve nonlinear partial differential equations (PDEs) in computational fluid dynamics (CFD), which are characterized by turbulent flows, fluid-structure interactions, and high computing resource intensity. Adaptive mesh optimization and high-performance computing architectures are combined in the AMO-HPI technique, which provides a strategic solution. Adaptive Mesh Optimization based on High-Performance Integration (AMO-HPI) is suggested in this research as a way to improve the accuracy of solutions by focusing computational resources on regions of interest through adaptive mesh refinement and coarsening. Making effective use of shared-memory parallelism and message-passing interfaces (MPI) to divide up computational tasks. Improvements in engineering system performance, reliability, and safety can be achieved by the effective simulation of fluid dynamics processes, which opens up new design areas that were previously unreachable. When compared to other methods, AMO-HPI performs better in simulations due to its optimal resource utilization and decreased processing time. In addition to improving CFD methodology, this research could have far-reaching effects on engineering design processes in several industries, which would be great for innovation and sustainable development.
Randic Skew - Hermitian Matrix and Randic Skew - Hermitian Energy of Mixed Middle Graphs
Authors: N. Keerthana Et al.
Published: January 2024

Let 〖SH(M〗_di) be the matrix of Skew-Hermitian adjacency and let M_dibe an asymmetrical middle graph. A latterly weighed Skew-Hermitian connection matric can be obtained as we proceed assign a Randic the amount as to each curve and boundary in  〖SH(M〗_di). In light of here, we as a species describe the Randic Skew-Hermitian matrix using these Skew-Hermitian adjacency matrix features. 〖R^*〗_SH (M_di )=(〖r^*〗_SH )_xy within a asymmetrical graph M_di Whereas (〖r^*〗_SH )_xy=((-i)/√(d_x d_y ))  (i=√(-1)  if (v_x,v_y )) is an arc of M_di, (〖r^*〗_SH )_xy=(i/√(d_x d_y ))(i=√(-1)  if (v_x,v_y ))  is an arc of M_di, (〖r^*〗_SH )_xy=((-1)/√(d_x d_y )) if (v_x,v_y ) is an undirected edge of M_di, and  (〖r^*〗_SH )_xy=0 if   of M_di. The main purpose of this study is to calculate the Randic Skew-Hermitian matrix of a asymmetrical middle graph's characteristic polynomial. Moreover, we provide boundaries on the applicable asymmetrical middle graph's Randic Skew-Hermitian energy. Finally, we provide some findings regarding the asymmetrical middle graphs' Randic energy with skew-Hermitian .
Constructing a Precise Method to Control Non-Linear Systems Employing Special Functions and Machine Learning
Authors: S.K. Sahani Et al.
Published: January 2024

This paper is about finding the best way to control certain types of equations that describe heat and diffusion using methods that are not exact but close to the best solution. A new way to control things better is suggested using patterns we've seen before and computer learning. By employing the data gathered from the EEFs are computed using the Karhunen-Loève decompose in the PDE computer. The EEFs are used to convert the PDE system into a high-order ODE system. A smaller model (ROM) that may depict the primary behavior of the PDE subsystem is created using the SP approach. This facilitates understanding of the system. In order to reduce its size, a more basic model (ROM) that demonstrates the primary motions of the PDE system is created using the SP approach. Next, the optimal controller for the ROM is designed using the HJB technique. This ensures that the high-order ODE system is stable using the SP theory. By splitting the best way to control something into two sections, we can solve a math problem to figure out the first part and come up with a new equation for the second part. Third, a method is suggested for updating and controlling based on small improvements to solve a specific equation, and it has been proven to work effectively. Moreover, we use a technique called the NN approach to estimate the cost function. Finally, the simulation results demonstrate the effectiveness of the proposed optimum control approach when applied to a diffusion-reaction process using a unique spatially component.
Applications of Nonlinear Analysis Transforming Communication Paradigms for Seamless Connectivity
Authors: Nilesh P. Sable Et al.
Published: January 2024

The dynamic nature of communication paradigms demands uninterrupted connectivity in order to achieve maximum functionality. It will take creative thinking to achieve this smoothness. It becomes clear that nonlinear analysis is a revolutionary methodology that provides original insights and solutions. In order to attain seamless connectedness, this study investigates how nonlinear analysis might be applied to revolutionise communication paradigms. A strong foundation for comprehending and improving communication systems is provided by nonlinear analysis, which has its roots in the study of complex systems. This paper delves into the fundamental concepts of nonlinear analysis and elucidates how they may be applied to the complicated dynamics of modern communication. Nonlinear analysis, which includes information theory, signal processing, and chaos theory, introduces a new paradigm in communication technology. Network congestion, signal distortion, and security holes are just a few of the issues plaguing today's communication infrastructure that cause disruptions in service. Nonlinear analysis is a useful technique for overcoming and reducing these challenges. The efficiency, dependability, and security of communication networks can all be improved by implementing nonlinear system dynamics. In this study, nonlinear analysis is applied to real-world problems in network security, wireless communication, and the Internet of Things (IoT) through several detailed case studies. Using these real-world examples, we can see how nonlinear methods can successfully alter established modes of communication and demonstrate their value. The implications of nonlinear analysis for future communication paradigms are far-reaching and extend beyond the capabilities of current technology. This essay delves into the future of communication technology, shedding light on emerging trends that may have profound impacts in the years ahead. It also examines the benefits and difficulties that come with employing nonlinear analysis to establish seamless communication. Nonlinear analysis is a potent instrument with potential applications in shifting communication paradigms, facilitating seamless connectivity, and paving the way for the creation of novel forms of communication technology. The study emphasises the significance of nonlinear techniques in addressing the challenges of modern communication systems and guiding them towards a more connected and successful future.
Machine Learning Enabled Inventory Control for Deteriorating Items with Carbon Emission and Trade Credit under Learning and Forgetting
Authors: Sushil Bhawaria Et al.
Published: January 2024

This research introduces a novel approach to inventory control, leveraging machine learning techniques to optimize inventory decisions for deteriorating items while accounting for carbon emissions and trade credit policies. In contemporary supply chain management, sustainability considerations have become increasingly vital. The carbon footprint associated with inventory management practices necessitates innovative solutions to minimize environmental impact. Moreover, trade credit offers financial flexibility but requires careful management to maintain profitability. To address these complex challenges, our proposed framework integrates machine learning algorithms into inventory control to enhance decision-making precision. The model incorporates dynamic learning and forgetting effects, allowing the system to adapt to changing demand patterns over time. This adaptability is particularly critical when dealing with deteriorating items that exhibit non-constant demand rates. Carbon emissions are assessed throughout the supply chain, and environmentally conscious decisions are made to minimize the carbon footprint. Additionally, trade credit terms are optimized to strike a balance between financial constraints and inventory performance. Our approach demonstrates superior performance in terms of minimizing costs, reducing carbon emissions, and enhancing supply chain resilience compared to traditional inventory management methods. Real-world case studies and simulations validate the effectiveness of our machine learning-enabled inventory control system, showcasing its practical applicability. This research contributes to the advancement of sustainable supply chain management by providing a comprehensive framework that combines AI-driven inventory control, carbon emission reduction, and trade credit optimization, ultimately fostering environmentally responsible and financially viable inventory decisions.
Applied Nonlinear Analysis and Machine Learning Transforming the Horizons of Communication Technology
Authors: Dilip Motwani Et al.
Published: January 2024

The combination of machine learning and applied nonlinear analysis has significantly changed the state of communication technology. The fundamental structure of communication networks has undergone a radical change as a result of this convergence. The convergence of machine learning and nonlinear analysis methods has yielded hitherto untapped possibilities for improving network optimisation, data transfer, and signal processing. Because it can describe complex systems, nonlinear analysis provides a greater understanding of the complex dynamics found in communication networks. Through the application of dynamical systems, fractal geometry, and chaos theory, it is possible to identify underlying patterns and behaviours in data, leading to more effective information processing and transmission. Machine learning is added to further enhance these skills. Communication systems are able to automatically optimise their performance, anticipating network behaviours and making real-time adjustments to changing circumstances thanks to algorithms that learn from data and adapt to it. In tasks ranging from resource allocation and interference mitigation to signal denoising and modulation categorization, machine learning approaches including neural networks, deep learning, and reinforcement learning have shown to be highly effective. Combining these two fields is accelerating the creation of communication systems that are more resilient, dependable, and flexible. Communication systems can overcome past constraints by utilising the complementary strengths of nonlinear analysis and machine learning. Massive data quantities may now be handled by them, along with the ability to reduce signal distortions, anticipate and avoid network congestion, and dynamically adjust to shifting communication settings.
Thermal stability of banana and strawberry flavouring food additives
Authors:   University of Craiova, Bogdan Tutunaru , Alina Voicu ,   University of Craiova
Published: January 2024

Food additives are substances or mixtures of substances added to food products in a set amount to maintain or increase their safety, freshness, taste, nutritional values, texture and appearance. Heat treatment is frequently used for food and consequently the processes in which the additive that is added to the raw material participates must also be studied. In this study, the results of the thermal analysis of two flavors used especially in the processing of confectionery products, banana and strawberry flavours, in an inert atmosphere of nitrogen gas are presented. Experimental results indicate a lower relative stability of banana flavor (180 °C) compared to strawberry flavor (225 °C).
Pyrite oxidation: Characteristics of (FeS2O)12 species, a possible reaction intermediate
Authors:   University of Craiova, Elena-Cristina Carstea , Paul Chirita ,   University of Craiova
Published: January 2024

We evaluated by quantum calculations the properties of pyrite-oxygen species (FeS2O)12 that can appear in the first stages of the oxidation process of pyrite with dissolved oxygen. The calculations were made with the Amsterdam Density Functional software. The obtained results suggest that (FeS2O)12 can be formed only after the dissociation of the oxygen molecule into much more reactive species.
Total phenolic content and antioxidant activity of Pisum sativum sprouts extract
Authors:   University of Craiova, Catalina Ionescu , Georgeta Ciobanu ,   University of Craiova
Published: January 2024

An aqueous extract of dried Pisum sativum sprouts (0.1g soluble substances/mL) has been obtained and analyzed. Total phenolic content of the extract was determined using the Folin-Ciocâlteu method and was found to be 138.98±3.16 µg of gallic acid equivalents/mL in the extract, corresponding to 416.9±9.52 mg gallic acid equivalents /100g DM of sprouts. The antioxidant activity of the extract was assayed using the DPPH method. It was expressed as IC50 value and was found to be 13.29 mg/mL.
Dioximates of transitional metals. Syntheses, characterizations, applications
Authors:   University of Craiova, Anca Ganescu , Andreea Simionescu ,   University of Craiova, Mihaela-Gabriela Dumitru ,   University of Craiova
Published: January 2024

Several derivates of α benzyldioxime with nickel, platinum and palladium are known to have been synthesized by Ciugaev, and later by F.P.Dwyer and D.P.Mallor. Recently, this reagent has found a wide use for the gravimetric determination of palladium and nickel, especially in semi-microanalysis, because the solubility of the respective chelate formed with α benzyldioxime is lower, and the gravimetric factor has a more appropriate value than in the case of analog derivates of dimethylglyoxime.
Antimicrobial activity study of some binuclear complexes with Schiff bases derived from an aromatic dialdehyde and some amino acids
Authors:   University of Craiova, Florina Ciolan
Published: January 2024

Many metal complexes with amino acid derived Schiff bases have been synthesized and tested for their biological activity. Thus, the aim of the present study was to evaluate the antimicrobial activity of some binuclear complexes with Schiff bases derived from an aromatic dialdehyde and some amino acids by studying the influence of the tested compounds on the development of microbial biofilms on an inert substrate. The biofilms developed on inert substrate by Klebsiella pneumoniae ESBL+, Citrobacter freundii 1748, Bacillus sp., Serratia marcescens 0804, Staphylococcus aureus ATCC 25923 and Escherichia coli 1576 strains were inhibited at concentrations of the tested compounds between 250 μg∙mL-1 and 500 μg∙mL-1. The results of determining the influence of the tested compounds on the development of microbial biofilms showed that they have an inhibitory effect on microbial adhesion.
Synthesizing, preliminary analyzing and investigating the potential veterinary use of two structurally related Zn(II) complexes with ligands of the benzenesulfonamides' class
Authors:   University of Craiova, Liana-Simona Sbîrnă , Clementina Moldovan ,   University of Petroșani
Published: January 2024

As a consequence of the fact that most bacteria types show increasing resistance to the conventional drugs, chemists and biochemists keep on trying to synthesize new potential medicines and to test their antibacterial activity. Under these circumstances, the present work’s goal is to present the synthesis, the preliminary analysis and antibacterial tests’ results for two structurally-related ligands belonging to the benzenesulfonamides' class, as well as for the two complex compounds formed by them through coordination to divalent zinc. Because of the usually high hepatotoxicity exhibited by benzenesulfonamides, they are unlikely suitable for human medical purposes, but they might present possibilities to be used as veterinary drugs. Consequently, we have focused on the possibility for our newly synthesized substances to be used in the treatment of urinary- and gastrointestinal tract bacterial infections, as well as galactophore channels’ infections, on equine and cattle; actually, for that matter, all pathogenic agents were sampled from horses or cows suffering from different infectious diseases (from urinary- or gastrointestinal tract or from females’ galactophore channels).
Islamic Political Economy of Accounting: Konsep Kemaslahatan Manusia dan Semesta
Authors: Sokarina Ayudia
Published: January 2024

Dalam buku ini, penulis secara eksplisit mengungkapkan keterbatasan dari Political Economy of Accounting (PEA) yang mengandung materialisme dan model homo sociologicus. Islamic Political Economy of Accounting (IPEA) yang diajukan dalam buku ini merupakan konsep akuntansi berbasis pemikiran akuntansi syariah dari Iwan Triyuwono, pemikiran ekonomi dari Ibnu Taimiyah, dan pemikiran politik dari HOS Tjokroaminoto. Buku ini berbicara pada tataran filosofis dengan menurunkan nilai-nilai yang selanjutnya diharapkan dapat diimplementasikan dalam teknik-teknik akuntansi. Oleh karena itu, buku ini berkontribusi memantik kesadaran spiritual manusia [akuntan]si dalam ber-akuntansi.
Docile or Not-So-Docile Women:A Foucauldian Reading of Ismat Chughtai’s “Gainda,” “Gharwali” and “Chui-Mui”
Authors: Sen Rishiraj , Jha Shweta
Published: January 2024

Ismat Chughtai is one of the most celebrated South Asian women writers from the past century. Hence, most of the scholarship based on her few female characters from a select few stories largely deals with analysing the nature of female desire and sexuality. In this paper, we have extended the focus from sexual repression to the analysis of the power-paradigm in the space called zenana (domestic space)and its role in producing docile bodies. By using a Foucauldian framework in her lesser-explored short stories, namely, “Gainda” (transl. “Gainda”), “Gharwali” (transl. “The Homemaker”), and “Chui-Mui” (transl. “Touch-me-not”), we aim to explore the themes of surveillance, norms, and punishment and how these play a role in training individuals to be obedient to power structures and institutions. Moreover, we want to explore whether they always produce homogenised bodies or if there is a space for individual agency.
Rizoma interseccional. Una mirada hacia el género en los estudios afrodescendientes en Chile
Authors: Araya Isabel , Ríos Yanina
Published: January 2024

El presente artículo expone un estado del arte sobre los estudios de género en el campo de investigaciones sobre afrodescendencia. El objetivo central es estableces una genealogía sobre la perspectiva interseccional en los estudios afrodescendientes en Chile. Particularmente se discuten las reflexiones feministas en la investigación social sobre el movimiento afrochileno en el norte y la migración afrodescendiente en el país. Asimismo, se destaca el protagonismo que la categoría ha adquirido en los últimos años, concluyendo que, en un contexto de asentadas desigualdades sociales, el género y la perspectiva interseccional se vuelven un dispositivo teórico crucial para el estudio de los fenómenos en torno a la afrodescendencia.
Sporda Etkili Karar Verme Ölçeği (SEKVÖ): Geçerlik ve Güvenirlik Çalışması
Authors: ÇETIN Mehmet Çağrı , KARA Mehmet
Published: January 2024

The aim of this study is to develop a measurement tool that measures the level of influence in decision-making of licensed athletes aged 18 years and above who are active in sports. In the stages of creating the candidate form of the scale, writing essays by athletes, scale literature review, and interviews with focus groups were carried out within the scope of "qualitative steps", while hypothesis analyses and validity and reliability analyses were carried out within the scope of "quantitative steps". The expert opinion form prepared with 42 items in the item pool was presented to the experts for their evaluation according to the Lawshe technique. After the expert feedback, 15 items were removed, and 27 items remained. Trial scale form was administered online to 806 active licensed athletes aged 18 and over. Then, the basic assumptions of EFA were tested within the scope of quantitative steps; because of EFA, a 2 dimensional structure consisting of a total of 15 items was obtained. To examine the psychological construct validity of the SECVS, new data were obtained from 493 active licensed athletes by re-collecting data with the 15-item final form formed after EFA and CFA was performed. After CFA, the standardized loadings of the sub-dimensions, the estimated error variances of the variables, the T-values of all items and the goodness of fit values of the model were examined and it was determined that the 2 factor structure of the scale consisting of 15 items was confirmed as a model. In addition, when the convergent and divergent validity and convergent reliability values of the scale were examined after CFA, it was concluded that this scale had values in accordance with the criteria. Cronbach's alpha internal consistency coefficient was calculated as .87 for the ''External Decision Making'' sub-dimension and .85 for the ''Internal Decision Making'' sub-dimension. It was concluded that the SDEQ is a valid and reliable scale for measuring the decision-making effectiveness of athletes aged 18 and over.
Communicating health and science to the public: a role for scientists and academic researchers
Authors: Basseal Jocelyne Marie , McLaws Mary-Louise , Scott Sophie , Salmon Sharon
Published: January 2024

As seen through the COVID-19 pandemic, effective and impactful communications are the cornerstone to improved public health. Communications increase awareness about a health issue or solution and play a significant role in shifting social norms by influencing attitudes. However, scientists and academic researchers remain separate from the journalists and media that report to the wider community. We provide our perspective on the need to merge and weave the media and science worlds together for greater impact.
Circulation of influenza and other respiratory viruses during the COVID-19 pandemic in Australia and New Zealand, 2020–2021
Authors: O’Neill Genevieve , Taylor Janette , Kok Jen , Dwyer Dominic , Dilcher Meik , Hua Harry , Levy Avram , Smith David , Minney-Smith Cara , Wood Timothy , Jelley Lauren , Huang Q Sue , Trenholme Adrian , McAuliffe Gary , Barr Ian , Sullivan Sheena
Published: January 2024

Objective: Circulation patterns of influenza and other respiratory viruses have been globally disrupted since the emergence of coronavirus disease (COVID-19) and the introduction of public health and social measures (PHSMs) aimed at reducing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. Methods: We reviewed respiratory virus laboratory data, Google mobility data and PHSMs in five geographically diverse regions in Australia and New Zealand. We also described respiratory virus activity from January 2017 to August 2021. Results: We observed a change in the prevalence of circulating respiratory viruses following the emergence of SARS-CoV-2 in early 2020. Influenza activity levels were very low in all regions, lower than those recorded in 2017–2019, with less than 1% of laboratory samples testing positive for influenza virus. In contrast, rates of human rhinovirus infection were increased. Respiratory syncytial virus (RSV) activity was delayed; however, once it returned, most regions experienced activity levels well above those seen in 2017–2019. The timing of the resurgence in the circulation of both rhinovirus and RSV differed within and between the two countries. Discussion: The findings of this study suggest that as domestic and international borders are opened up and other COVID-19 PHSMs are lifted, clinicians and public health professionals should be prepared for resurgences in influenza and other respiratory viruses. Recent patterns in RSV activity suggest that these resurgences in non-COVID-19 viruses have the potential to occur out of season and with increased impact.
Solutions for elderly people: an overview of technology developed
Authors: Menezes Leonardo Silva , Kirst Flavio Valdir , De-Bortoli Robélius
Published: January 2024

The aging of the world population is a challenge for governments and the market. There were, in 2021, 761 million people aged 65 or over; This number is expected to increase. This phenomenon is directly accompanied by a decrease in the organism's functional capacity, such as motor capacity. One way to increase the general quality of life of Old People with Motor Disabilities and help them regain some control and live independently is to offer products and services that solve their main problems. The objective of this study was to search for technologies (inventions and utility models) for this population that have been registered in recent years in Brazil but also in Europe and USA. The patent search was conducted on the electronic platforms of the patent offices in Brazil and Europe. 337 registers were found and 55 results met the inclusion and exclusion criteria. The results show an improvement in the number of registers in the last decade, however, this can be considered little if we look at the size of the population and its challenges.
Studying person perception from voices: Creating common ground by looking beyond accuracy
Authors: Lavan Nadine
Published: January 2024

Voice research often focuses on measuring the accuracy of perception. The focus away from looking at accuracy and broadening research questions to investigate subjective perception per se – be the perception accurate or not – may enable us to glean a fuller picture of how listeners try to make sense of the voices they hear in their lives. Such a shift in focus may create common ground for investigating the perception of person characteristics for which accuracy can be determined (e.g. identity, height, age) alongside characteristics for which this is much harder or even impossible to do (e.g. trustworthiness, confidence).
Incidental word learning: The role of decomposition in the learning of pseudocompound words
Authors: Bellerby Emily , McCarty Kristofor , Blythe Hazel
Published: January 2024

Incidental word learning refers to the learning of new words as a by-product of reading. We are interested in how decomposition of words into smaller units (morphemes) impacts this learning process and how this interacts with semantic transparency. We have developed pseudo-compound words which will be presented in two broad learning conditions (1) as decomposed into pseudo-morphemes, or (2) as whole words/full lexical units. All pseudo-compound words will be presented as either transparent (having a relationship to their morphemic constituents) or opaque (having no relationship to their morphemic units). We hypothesise decomposition of transparent pseudo-compounds will result in more effective learning for semantically transparent word forms. We present a basic proposal of this research and a subsequent BPS funded pre-screen study.
Adolescent schizotypy and its impact on emotion recognition
Authors: Quartel Lara
Published: January 2024

Schizotypy, a spectrum of personality traits connected to sub-syndromal psychosis, provides insights into foundational processes of schizophrenia and at risk mental states associated with such. This study, funded by a BPS Cognitive Section Rapid Project grant, examined cognitive deficits in adolescent schizotypy, using a multidimensional approach to measure schizotypy and assessing emotion recognition capabilities on the CANTAB™ platform. Results indicate significant cognitive deficits in emotion recognition related to various schizotypy traits, emphasizing the importance of a spectrum-based approach to understanding psychosis.
Investigating neural basis of biased attention to self-relevant information in depression
Authors: Singh Harpreet , Kumar Sanjay , Pilling Michael , Veldhuis Alfred
Published: January 2024

This study examines the neural basis of attentional bias toward self-relevant information in depression. Using EEG data and a lateralised image task, we investigate the N2PC response around 200ms after stimulus onset, providing insights into early attentional processes. Our analysis aims to distinguish differences in self-referential processing between depressed and nondepressed individuals, potentially offering a diagnostic tool for depression based on EEG data. Data collection began in September 2023, supported by a grant from the BPS Cognitive Psychology Section.
When there’s more than one elephant in the room: Interdisciplinary approaches to the study of language
Authors: Milin Petar , Divjak Dagmar
Published: January 2024

This concise overview paper introduces the work done by the Out Of Our Minds research group at the University of Birmingham, highlighting the need for organic interdisciplinarity in contemporary language science. By summarizing two case studies, we underscore the need for compatible methodologies that address shared research objectives. Despite initial enthusiasm for a multidisciplinary approach to language in the 1950s, subsequent research efforts often remained confined within specific scientific traditions. Recently, however, we have been witnessing a resurgence of these foundational ideas. Crucially, Out Of Our Minds embodies a paradigm shift where linguists leverage rigorous operationalizations to test key theoretical notions, while psychologists broaden their understanding of empirical phenomena with ecological relevance and purposefulness. By synergizing the strengths of both disciplines, we advance our understanding of the complex and dynamic system of human language.
UNSATURATED FATTY ACID VESICULAR TOPICAL FORMULATION FOR THE TREATMENT OF SUPERFICIAL FUNGAL INFECTION
Authors:   Department of Pharmaceutics, Babaria Institute of Pharmacy, BITS EDU Campus, Vadodara – Mumbai NH#8, Varnama, Vadodara- 391 240, Gujarat, India, Patel Ashwini D. , Pandey Prachi , Modi Pooja V.
Published: January 2024

Enhancement of skin bioavailability through topical formulation is challenging due to the presence of the barrier stratum corneum. Elastic, deformable lipid vesicles are easily penetrated through the skin barrier. The present study involves unsaturated fatty acid for vesicular preparation, ufosomes of miconazole nitrate. Fatty acid acts as skin penetration enhancer and improves skin retention. The effect of formulation parameters on efficacy of formulation was studies using 32 full factorial design. The particle size and % entrapment efficiency was found to be in the range of 157 to 291.6 nm with irregular spherical shape and 54.14% to 85.84%, respectively. The in vitro drug release, ex vivo drug release and skin retention of optimized ufosomes were found to be 78.424 %, 20.793 % and 43.36 %, respectively. The optimized batch displayed Higuchi drug release kinetic model with desired physicochemical properties.
MICROENCAPSULATION TECHNIQUE FOR SUNSCREEN GEL DEVELOPMENT: ENHANCING UV PROTECTION
Authors:   Department of Pharmaceutics, Grace College of Pharmacy, Palakkad – 678 004, Kerala, India., Salam Sabeel , V Divya , Hijas Mohamad , Siraj Nafiya
Published: January 2024

The current research looked at the sunscreen gel formulation using microbead technology via the ionotropic gelation method. Herbal oils such as jojoba oil and raspberry seed oil were used in our study due to their sun-protective qualities, which provide protection against both UV-A and UV-B rays. The pH, viscosity, stability, homogeneity, spreadability, extrudability, scanning electron microscopy and SPF determination of the prepared herbal sunscreen gel were also evaluated. Sunscreen gel has a pH range of 6.20-6.23, a viscosity range of 3060-3684 cps, and an extrudability study of 12-16. The F5 formulation demonstrated good spreadability, consistency, homogeneity, appearance, and pH, according to the evaluation, with no evidence of phase separation. During the study, the formulation F5 provided the best UV protection with SPF 11.
NANOBIOTECHNOLOGY: OPPORTUNITIES AND CHALLENGES
Authors: Patravale Vandana B. ,   Institute of Chemical Technology, Mumbai
Published: January 2024

Dear Reader, Welcome to a comprehensive exploration of one of the most dynamic and promising frontiers of scientific inquiry and technological innovation: nanobiotechnology. The concepts of nanobiotechnology are relatively recent, originating from Richard Feynman’s idea of ‘There’s Plenty of Room at the Bottom’ in 1959. However, his concept did not gain serious attention until 1986, when Eric Drexler published “Engines of Creation,” which discussed approaches and visions for controlled manufacturing of products at the molecular scale. Nanobiotechnology is a more recent discipline that has emerged at the convergence of nanotechnology and biotechnology. It involves the modification and utilisation of nanoscale structures inside biological systems. It has significantly expanded the realm of possibilities, fundamentally transforming several sectors such as industry, healthcare and scientific investigation. According to an industry analysis, the worldwide nanobiotechnology market was valued at USD 32.18 billion in 2022 and is projected to reach USD 70.26 billion by 2029, with a compound annual growth rate (CAGR) of 11.8%. This multidisciplinary domain has revolutionised the healthcare industry by facilitating the precise administration of medications, individualised treatment approaches and cutting-edge diagnostic instruments. The promise extends beyond the field of health, providing solutions in agriculture to increase crop yields, improve disease resistance and optimise nutrient delivery
Comunica Tupi - tradutor para língua indígena Tupi Mondé
Authors: Fausto Ilma Rodrigues de Souza , Leta Fabiana Rodrigues , Braz Ruth Maria Mariani
Published: January 2024

Com o objetivo de desenvolver um aplicativo de tradução, busca-se promover a preservação do tupi, facilitar o acesso aos conteúdos nessa língua e valorizar as culturas indígenas. A pesquisa envolverá compreender as necessidades dos usuários, criar uma interface intuitiva, implementar a função de tradução e garantir a segurança dos dados. O projeto visa preservar a língua, promover seu uso e fornecer materiais educacionais traduzidos, fortalecendo a educação em Rondônia e promovendo a compreensão entre as comunidades indígena e não indígena. O IFRO, com sua diversidade étnica, será beneficiado, proporcionando maior acesso e compreensão dos materiais didáticos para os alunos indígenas, além de valorizar as culturas indígenas.