Les études sur la langue française la présente souvent dans des situations où elle est en contact avec les langues africaines. Elle co-apparait avec les langues africaines dans les discours romanesques. Cette co-apparition n’est pas sans conséquences pour les deux langues en contact. Certains linguistes, surtout les sociolinguistes et les didacticiens, parlent d’insécurité linguistique. Ils la lient à toutes les situations linguistiques où deux langues entrent en contact. Ngamassu (2007, p.94) dit dans ce sens que « toute situation de contact des langues est source d’insécurité linguistique, car aucun locuteur/scripteur ne peut maîtriser toutes les variétés ou niveaux d’une langue ». Cette affirmation restreint l’insécurité au locuteur ou au scripteur. Les linguistes ignorent souvent l’impact négatif du contact des langues et s’intéressent à ses conséquences positives. Cet article a porté sur les manifestations de l’insécurité linguistique dans la prose romanesque de Kourouma et Badaman. Il a permis de voir que l’usage des langues maternelles dans le français constituait une menace de disparition et d’abâtardissement de la langue française.

Assanvo

Carica papaya leaves are a popular remedy to treat Dengue-induced thrombocytopenia. There have been reports of Carica papaya effects as antibacterial, anti-parasitic, anti-cancer, and anti-inflammatory. There is limited evidence documenting the effects of Carica papaya on increasing platelet count in relation to Dengue infection. Moreover, the mechanism by which Carica papaya increases the platelet counts has not been elucidated. Understanding how Carica papaya affects platelet function may have implications beyond Dengue fever management. This study aims to investigate the mechanism by which Carica papaya affects platelet count. The mechanism of thrombocytopenia in the aqueous and methanol extracts was elucidated by measuring reactive oxygen species in platelets using chemiluminescence. Both aqueous and methanol extracts of Carica papaya leaves were found to increase reactive oxygen species levels in vitro. This study is the first to try to demonstrate the mechanism by which Carica papaya increases platelet count. Carica papaya leaves may be developed into novel and useful therapeutic agents in the management of thrombocytopenia-related disorders and cardiovascular diseases.

Mediterranean journal of pharmacy and pharmaceutical sciences

Abstract Abundant solar energy is freely available almost round the year in India. As per the current scenario of global warming and climatic change, solar energy is the cleanest source in nature. Concentrated solar power (CSP)has hardly contributed to the overall installed solar power capacity in the country. CSP technologies are Parabolic Trough Collector (PTC), Linear Fresnel Reflector (LFR), Paraboloid Dish and Solar Power Tower. This paper presents a review of CSP in solar parabolic dish concentrator to understand thermal aspect like thermal efficiency, optical efficiency, useful heat gain, heat losses, solar irradiation, etc. for various applications and current development. The current scenario of global CSP is discussed to meet the future challenges and need of the society.

Pramod wadate

Wilsons disease is a rare inherited disorder which is characterized by impaired copper excretion which leads to excessive deposition of copper in many tissues and organs like brain, liver, and eye. This is also characterized by Kaiser-Fleischer ring, low serum ceruloplasmin levels and elevated urinary copper excretion [1]. A 26year male patient came to the neurology department with chief complaints of involuntary tremors of both hands and difficulty in walking in the last one month associated with swaying to one side in the last 20 days. On examination the patient is having Kaiser-Fleisher ring positive and upon further investigation Magnetic resonance imaging brain was performed which revealed the features in favor of Wilson’s disease. And for this condition the patient is treated with chelating agents and benzodiazepines. Key words: Wilson’s Disease, Kaiser- Fleisher ring, Chelating agents

Dr venkata rama rao nallani

Treatment adherence is a critical component of epilepsy management. Antiepileptic drug side effects affect adherence and may result in the discontinuation of medication. This study aimed to investigate the association between antiepileptic drug side effects and medication adherence among Libyan patients with epilepsy while identifying predictors of adherence. A cross-sectional study was conducted at Tripoli University Hospital involving 200 adult epilepsy patients. Adherence was assessed via a self-report tool dichotomized as adherent/ non-adherent if patients stopped medication due to side effects. Side effects were evaluated using the Side Effects of Antiepileptic Drugs questionnaire. Logistic regression analyzed predictors of adherence, including antiepileptic drug use, therapy regimen, and side-effect profiles, with p<0.05 declared association. The overall adherence rate was 87.0%. Higher adherence was observed in older age groups, 95.8% in patients aged 51-60, 89.4% in married patients, and 91.0% in university-educated patients. Patients on monotherapy and those seizure-free in the preceding month demonstrated better adherence (88.4% and 93.0%, respectively). Valproate users had notably low adherence (52.6%) while carbamazepine and phenytoin users showed higher adherence (89.7% and 91.7%, respectively). Cognitive complaints significantly reduced adherence (76.1% vs. 79.6%), as did aggressive behavior (58.3% adherence). Logistic regression identified two independent predictors: patients on old-generation antiepileptic drugs had 2.7 times higher adherence (AOR=2.702, 95% CI: 1.168-6.249; p=0.02) while cognitive side effects reduced adherence by 86.4% (AOR=0.136, 95% CI: 0.031-0.596; p=0.008). Cognitive side effects predict non-adherence, necessitating routine monitoring. Paradoxically, older antiepileptic drugs correlated with better adherence. Integrating patient-reported metrics and addressing cognitive impacts could optimize epilepsy care, highlighting gaps in side-effect management and advocating personalized strategies in clinical settings.

Mediterranean journal of pharmacy and pharmaceutical sciences

Dry powder injection of spironolactone was developed using lyophilization and hydrotropic solubilization method. It is fast acting medication in emergencies like refractory edema associated with heart failure and hepatic cirrhosis. The ultimate aqueous based powder prepared showed 892.85 and 378.57 times increased solubility of spironolactone with sodium salicylate and sodium benzoate as compared to its water solubility. Amongst six hydrotropic agents, the solubility was increased in the order sodium salicylate > sodium benzoate > nicotinamide > sodium ascorbate > urea > sodium acetate. IR graph showed shift of wavenumber of characteristic peaks. Lyophilization technique produced more stable product against different temperature cycles and stability parameters. Degradation was only about 0.45% at room temperature and it was more about 1.3% at higher temperatures. Haemolytic activities of lyophilized formulations observed were 8.54% to 96.85% for sodium salicylate based hydrotropic lyophilized system and 3.50 to 88.17% for sodium salicylate based hydrotropic lyophilized system.

Archana mehrotra

Brilliant Grid is intended to incorporate progressed correspondence/organizing innovations into electrical power frameworks to make them ''more intelligent''. The current circumstance is that a large portion of the power outages and voltage lists could be forestalled in the event that we have better and quicker specialized gadgets and advancements for the electrical matrix. To make the flow electrical force lattice a Smart Grid, the plan and execution of another correspondence framework for the lattice are two significant fields of examination. Be that as it may, Brilliant Grid projects have just been proposed as of late and a couple of recommendations for forward-looking necessities and starting exploration work have been offered in this field. No efficient audits of correspondence/organizing in Smart Grids have been led at this point. In this manner, we direct an orderly survey of correspondence/organizing innovations in Smart Grid in this paper, including correspondence/organizing engineering, distinctive correspondence innovations that would be utilized into this design, nature of administration (QoS), upgrading the use of resources, control and the board, and so forth.

Dr.a.shaji george

s deep learning models continue to grow in complexity, the computational and energy demands associated with their training and deployment are becomingincreasingly significant, particularly for convolutional neural networks (CNNs) deployed on CPU-bound and resource- limited devices. Fully connected (FC)layers, while vital, are energy-intensive, accounting for 85.7% of a network’s parameters but contributing only 1% of the computations. This research proposes anovel approach to optimising these layers for greater energy efficiency by integrating low-rank factorisation with differential partial differential equations (PDEs).The introduction of the LowRankDense layer, which combines low-rank matrix factorisation with a differential PDE solver, aims to reduce both the parametercount and energy consumption of FC layers. Experiments conducted on the MNIST, Fashion MNIST, and CIFAR-10 datasets demonstrate the effectiveness ofthis approach, yielding promising results in terms of reduced energy usage and maintaining comparable performance, thereby enhancing the practicality andsustainability of CNNs for widespread use in environments with limited computational resources

Jiby mariya jose

A huge number of embedded devices offer their services to the end users in pervasive environments. Context-aware discovery is a rich and very dynamic system extensively applied for combining the different mobile devices, sensors, actuators and software functions. Existing knowledge-based system using the Common KADS (CKADS) system represent contextual information but algorithm are not effective in predicting the user behavior. Current Location-aware Private Service Discovery (LPSD) considers the discovery path for reducing the distributed topology and flooding operations. LPSD in pervasive environment is not effective in accurately locating the required service by searching method. To present an architecture principle for accurately predicting the user behavior in mobile-pervasive computing environment, Affluent Context Aware Systems based on the User Behavior (ACAS-UB) is proposed in this paper. ACAS-UB mechanism contains the class of mobile devices that can sense (i.e.,) search the physical pervasive environment. Affluent means effectively engaged mobile devices in ACAS-UB mechanism which uses the context information. The ACAS-UB context information contains the judgment of the similar users and also the response from the other users for improving the effectiveness in pervasive environment user behavior prediction. Master-slave concept is used in the ACAS-UB mechanism for the easy collection of response information from the different users. ACAS-UB mechanism construct the user profile initially from the context information, then performs the similarity measure and finally work is to predict the user behavior. ACAS-UB mechanism provides the hints which are necessary to explore different options, rather than just limiting the options in mobile-pervasive computing environment. ACASUB mechanism is experimented on the factors such as message overhead in pervasive environment, scalability and approximately 10 % lesser processing time.

Dr h shaheen

India holds a crucial place in the worldwide leadership of sustainable development since it is the largest democracy in the world and has one of the nations with the greatest economic growth. With innovation, inclusivity, and sustainability at its core, Viksit Bharat @2047 symbolizes India's ambition to become a fully developed country by the century of its independence. Emerging technologies are increasing productivity, boosting global competitiveness, and spurring innovation in various industries. By providing tailored financial assistance & investment suggestions, artificial intelligence-powered chatbots & robo-advisors are democratizing the provision of financial planning services. Decentralized finance (DeFi) systems and other blockchain-based solutions are simplifying trade finance procedures, lowering operating costs, and facilitating safe and transparent cross-border transactions. This chapter examines how innovation and technology are essential to achieving this lofty goal. It provides a thorough examination of India's contemporary digital infrastructure, the country's ascent in international innovation rankings, & the use of cutting-edge technologies including biotechnology, renewable energy, artificial intelligence, and space research. The story highlights government programs such as Start-up India, Digital India, and the National AI & Green Hydrogen Missions. Furthermore, the story underscores the importance of inclusive growth, which encompasses youth empowerment, women-led innovation, and rural digitization. Alongside strategic advice, issues like cybersecurity concerns, low investment in research and growth, and the digital divide are also discussed. India is positioned to emerge as a worldwide leader in technology, not simply a consumer, by cultivating a strong innovation ecosystem and utilizing partnerships between university, industry, and the private sector. This chapter provides a comprehensive plan for a tech-powered, inclusive, and sustainable Viksit Bharat before 2047. Higher education is one of the areas that must use developing technology, especially artificial intelligence (AI), to achieve Viksit Bharat 2047 (the Developed India 2047). Outside of higher education, artificial intelligence influences technology and economic progress. Young minds will realize this transformative vision as soon as they actively interact with AI. AI literacy empowers students in higher education to investigate, produce, and innovate. Students may do research, find solutions to real-world issues, and alter the course of history as they learn AI.

Dr. awadhesh singh gautam

Background: Many individuals today use herbs as a drug alongside medicine and non-physician-recommended medications, as herbs are thought to be natural and safe. However, many herbs can potentially interact with other drugs, causing hazardous effects and diminished therapeutic effects of different prescriptions. Objective: It ought to be comprehended that herbal drugs contain multiple active compounds in different percentages, which can change the enzymatic frameworks, transporters, and physiological processes. Methods: Data on pharmacokinetic drug interactions with herbal products were searched using different search engines, such as Google Scholar, Scopus, and ScienceDirect. Results: This worldwide increment in herbal drug popularity has risen concerning HDIs. These PD or PK interactions are particularly significant for medications. Assessment of herbal drug interactions is complex because of inconsistency in herbal drug composition and frequently meagre information on active constituent pharmacokinetics. These restrictions are further bewildered by the differing points of view concerning herbal product regulation. Conclusion: It is concluded that a basic assessment of certain pharmacokinetic HDI is needed to settle on educated choices regarding patient safety. The expanding comprehension of HDPKI will direct more attention to potential interactions.

Dr. salman ahmed

Information and communication technology is an instrument in addressing some of the issues of Indian higher education however; there are certain drawbacks to using ICT to enhance teaching and learning. The present research was carried out in The Maharaja Sayajirao University to study the impediment faced by them in the use of ICT in their professional work. Quantitative data was collected from two hundred and ninety faculty members through the purposive and convenient sampling method. The data indicate that faculty members faced technological infrastructure-related impediments such as lack of smart boards, lack of computers, uneven bandwidth of internet, slow internet connection. It is suggested that an adequate atmosphere be developed in the institution that would encourage faculty members to use ICT.

Maniar avani

The study examined public-private sectors’ collaboration in human resource management and curriculum development in the administration of public senior secondary schools in Rivers State. The study adopted the descriptive survey design. Two research questions and two hypotheses guided the study. The population of the study comprised 281 principals in the 281 public secondary schools in Rivers State. The proportionate stratified random sampling technique was used to draw up sample of 259 principals representing 92.2% of the population of the study (211 male principals and 70 female principals). An instrument titled: Public-Private Sectors’ Collaboration for School Administration Questionnaire (PPSCSAQ) designed in the modified 4-point Likert Scale with a reliability index of 0.87 was used for data collection. The face and content validities were ensured. Mean and standard deviation were used in answering the research question while z-test was used in testing the hypotheses at 0.05 level of significance. The finding of the study showed that to a high extent public-private sectors collaborate in human resource management and curriculum development in the administration of public senior secondary schools in Rivers State. It was recommended among others that the government should provide enabling environment and formulate favourable policies to sustain public-private sectors’ collaboration as it ensures effective human resource management in the state.

Fxintegrity publishing

Working memory (WM) is a critical component of many neurocognitive functions. The literature has demonstrated consistently that WM impairment is more frequent and severe among substance-dependent individuals (SDIs) infected with HIV compared with uninfected SDIs; however, the SDIs who participated in these previous studies were primarily male. There are few published data on WM performance among HIV+ women with or without substance use disorders, and essentially no direct comparisons of WM performance between HIV+ men and women, regardless of substance use. We investigated potential sex and serostatus effects on WM among a sample of 360 SDIs (114 with HIV; 66% female) verified abstinent from alcohol and drugs of abuse at testing and generally comparable on substance use and comorbid characteristics. Participants were tested with the n-back task, a well-established WM measure that is sensitive to HIV-associated cognitive impairment. HIV+ men and women performed spatial and verbal versions of the n-back significantly less accurately compared with HIV− participants. Women showed slower response times compared with men on both versions, regardless of HIV serostatus. Individuals dependent on cocaine showed faster RTs compared with non-dependent users, but this effect was not apparent among opioid- or alcohol-dependent groups. Findings on n-back accuracy are consistent with our previous proposal that WM impairment represents a signature deficit among HIV+ SDIs; however, WM impairment appears less common among HIV+ women without a substance use history. The pattern of sex differences in response speed but serostatus effects on response accuracy is comparable to a recent report by our group of sex differences in learning speed but serostatus effects on delayed recall.

Ben spielberg

The inclusion of hydroelectric power is crucial to Nigeria's overall energy mix, playing a significant role in electricity generation. However, the Shiroro hydro plant, one of the main facilities located on the Kaduna River, is currently facing operational obstacles due to deteriorating infrastructure and inadequate maintenance practices. To overcome these challenges and improve efficiency within Nigeria's hydroelectric power sector, a hybrid-optimization approach has been proposed. This study sought to enhance the efficiency of the Shiroro hydro plant by implementing this innovative method. To achieve our objectives and address pertinent research questions, a mixed research method combining primary and secondary data was employed. The analysis included hydropower modeling and hydro-turbine input-output modeling. Three optimizer models, namely the particle swarm optimizer (PSO), Ant colony optimizer (ACO), and Artificial bee colony optimizer (ABCO), were utilized to formulate objective functions and task representations. The study involved comparing the daily output and fitness response of the Shiroro hydro plant through swarm optimizer iterations. The findings revealed a clear correlation between the turbine's power output and the water flow rate and water column height, suggesting that altering these factors could significantly improve the plant's performance. The comparison of the PSO, ACO, and ABCO models demonstrated that PSO and ABCO generated optimal or near-optimal solutions, while ACO produced suboptimal results. Consequently, the study concluded that enhancing the Shiroro hydro plant's output was feasible by increasing the water flow rate and column height. Additionally, the utilization of PSO and ABCO models proved to be an effective means of accurately predicting the turbine's output. As a result, the study recommended the integration of hybrid optimization techniques to monitor and identify any deviations in the Shiroro hydro plant's daily power output. This approach would enable prompt maintenance to be carried out, preventing significant damage to the plant. Ultimately, this research contributes valuable insights into improving the efficiency and performance of Nigeria's Shiroro hydro plant.

Fxintegrity publishing

This chapter delves into the emergence of restorative justice in the 1960s, rooted in the conflict resolution methods of indigenous communities in the United States and Canada. Contrasting sharply with traditional criminal justice, restorative justice places disputing parties at the forefront, enabling offenders to confess their guilt directly to victims through dialogue, aiming to repair harm and achieve satisfaction and social reintegration. This chapter illuminates restorative justice's concept, origins, characteristics, principles, and differences from conventional justice. It explores victim-offender mediation, highlighting its advantages, and examines restorative justice practices in Egypt, including the criminal reconciliation system and police mediation. This chapter raises key questions about these practices and their application in the Arab context, offering insights into a field yet to gain widespread recognition in the region. Employing an analytical descriptive approach, it relies on legal references to deepen understanding and development.

Prof. ramy el-kady

Herbal products are being paid particular attention by people around the world since they are natural, effective, and without side effects. In modern medicine, some drugs prescribed to the patients are derived from medicinal plants. Thus, the aim of this study is to investigate the central nervous effects of methanol extract of Ephedra altissima stems, in Albino mice. Doses of 500, 1500, and 3000 mg/kg of the methanol extract were administered in sub-acute doses (three doses), intraperitoneally at 24, 5.0, and 1.0 hours before scoring. General locomotor behavior profile, antidepressant activity, and anxiolytic activity were studied. The results revealed that the methanol extract of Ephedra altissima at 500, 1500, and 3000 mg/kg produced central nervous system depression, a remarkable decrease in the immobility time (forced swimming maze test), no anxiolytic-like effect by using elevated plus-maze model of anxiety. These results suggest that methanol extract of Ephedra altissima exhibits a central depressant activity, antidepressant-like activity, and mild antipsychotic activity without anxiolytic-like effect in tested experimental animal models with the doses used. Therefore, it can be concluded that Ephedra altissima extract may have a central depression, antidepressant-like activity with no effect as anxiolytic-like mood.

Mediterranean journal of pharmacy and pharmaceutical sciences

The exponential growth of biomedical literature presents both an unprecedented opportunity and a significant challenge for medical professionals and students. Conducting a thorough yet efficient literature review is a fundamental skill, essential for evidence-based practice (EBP), research, education, and scholarly writing. However, navigating this vast information landscape effectively remains a common hurdle. This review aims to provide a comprehensive, step-by-step guide to conducting efficient and rigorous literature reviews tailored to the needs of medical professionals and students. It focuses on practical strategies, critical appraisal techniques, synthesis methods, and leveraging technology to optimize the process while maintaining scientific integrity. A narrative review methodology was employed, synthesizing established principles and methods from evidence-based medicine, information science, and academic writing. Key sources include guidelines from major medical libraries, EBP resources, and authoritative texts on research methodology and critical appraisal. The review outlines a structured approach encompassing: defining a focused question using frameworks like Participants; Intervention/Exposure; Comparison; and Outcome (PICO/PECO); developing and executing a systematic search strategy across multiple databases; efficient screening and selection of relevant literature; critical appraisal of study quality and relevance; effective synthesis of findings (narrative, thematic, or tabular); clear and concise writing; and strategies for maintaining currency. Emphasis is placed on leveraging technology (reference managers, databases, and AI tools) cautiously and avoiding common pitfalls, such as scope creep and uncritical acceptance of findings. A life-long experience that the academic writer learns through life, and yet may fall into them easily. An efficient literature review is not merely about speed, but about systematic rigor, critical thinking, and strategic use of resources. By adopting the structured, technology-enhanced, and critically appraised approach outlined, medical professionals and students can navigate the literature effectively, saving valuable time while producing high-quality, evidence-informed outputs for clinical practice, research, and education.

Karishma

In this paper, we attempted to review the soil erosion studies conducted throughout the globe using Revised Universal Soil Loss Equation (RUSLE). We searched the SCI, Scopus, Web of Science, Google Scholar database and various theses for this study. Though RUSLE is the most widely used model for estimation of soil erosion, the factors, namely rainfall erosivity, soil erodibility, slope length and steepness, cover management and conservation practice; vary greatly over different climatic zones, soil properties, slope, land cover and crop phase, respectively. Depending upon those variations, researchers have developed various sets of equations for different factors of RUSLE. These equations can be useful to map soil loss for many places on this planet.

Kaushik ghosal

The current COVID-19 is now endemic on everycontinent and becomes the most challenging outbreaks over centuries, thus millions of people have been infected with the novel coronavirus (SARS-CoV-2), and have contributed to the deaths of more than two millionpeople. Researchers are working continuously to develop safe and effective vaccines that people have started receiving since December 2020. Vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are the most important countermeasure to the COVID-19 pandemic taking into considerationthat vaccines induce a robust immune response

Mediterranean journal of pharmacy and pharmaceutical sciences