The global burden of metabolic disorders, including obesity and type 2 diabetes, necessitates innovative therapeutic strategies. SLU-PP-332, a synthetic agonist of estrogen-related receptor α (ERRα), has emerged as a promising exercise mimetic, demonstrating preclinical efficacy in enhancing mitochondrial biogenesis, insulin sensitivity, and energy expenditure. This brief review synthesizes current knowledge on SLU-PP-332 and related ERRα agonists, highlighting their molecular mechanisms, preclinical outcomes, translational challenges, and ethical considerations. ERRα activation by SLU-PP-332 upregulates peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), driving fatty acid oxidation and mimicking exercise-induced metabolic adaptations. However, pan-ERR activity raises concerns about off-target effects such as cardiac hypertrophy and hepatotoxicity. Despite robust preclinical data, clinical translation remains hindered by the absence of human trials and undefined long-term safety. Future research must prioritize isoform-selective agonist design, rigorous clinical validation, and equitable access frameworks.

Mostafa eissa

The mechanical properties of different polymer matrix composites are discussed in this research study. These composites are multiphase materials in which reinforcing elements and a polymer matrix are suitably combined. The mechanical properties of 18 PMCs, including nylon 66 reinforced with 5, 15, and 25% wt% silicon carbide (SiC) and nylon 66 reinforced with 5, 15, and 25% wt% boron carbide (B4C), were evaluated using an injection moulding technique at three different injection pressures in this study. The optimization of process parameters like reinforcement material, reinforcement quantity, and injection pressure to maximize the tensile and impact strength of nylon 66 composites are the main focus of this study. It is observed that the specimens 25% SiC with an injection pressure of 90 MPa has optimised tensile strength, while the specimen 5% B4C with an injection pressure of 90 MPa has optimised impact strength.

Boopathy govindarajan

Comparative analysis of plant diversity with reference to Chamundi hills, in Mysore District of Karnataka State

Veerabhadraswamy al

Using realia media in learning activities will provide an interesting learning experience for students so that they are more active in participating in learning. This discussion aims to describe and analyze the application of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember. The research approach uses qualitative and case study research types. Data collection techniques using observation, interviews, and documentation. Analysis of the data used in this study using the Miles and Huberman model consisting of data condensation, data presentation, and concluding. The validity of the data was tested by using triangulation of sources and techniques. The results of this study indicate (1) Realia media planning in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: Identifying the needs and characteristics of students, formulating learning objectives, summarizing material, writing instructional media scripts, conducting tests and revisions. (2) The implementation of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: the teacher learns the instructions for using the media, and all equipment must be in a state of readiness so as not to be disturbed by technical matters, and keep students steady. conducive for learning activities to take place. (3) Evaluation of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: learning media according to KD and indicators, learning media according to the estimated time and assignments in the Buena book, learning media can attract students' attention, media learning is in accordance with the times/updated, thematic assessment criteria are spiritual, social, knowledge, and skillful.

Educare: journal of primary education

The daily water distillation of the single basin conventional solar still is limited. In the present work, experimental analysis of a parabolic disc type solar still and conventional solar still are investigated. The solar radiation is focused to the single point to produce higher basin temperature. The water is flown continuously inside the copper receiver to utilize the incident solar radiation. The hourly readings were taken to analyze the thermal performance of the parabolic disc type solar still and conventional solar still. The water collection of parabolic disc type solar still is increased about 40% over conventional solar still.

Appadurai m

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

AIM: The present cross-sectional questionnaire survey was conducted to assess the knowledge, and perception related to pharmacovigilance and ADR reporting among the B.pharm Final year students. MATERIALS AND METHODS: To assess the demographic details of the pharmacy students, their knowledge and perception toward pharmacovigilance and ADR reporting; a validated pretested questionnaire was used which comprises 11 knowledge-based closed-ended questions and 14 perceptions based agree/disagree questions. RESULT: The questionnaire was distributed to the 150 respondents of B. Pharm final year students who were willing to participate in the study. A response rate of 75% was recorded. The number of female respondents 53.3% was comparatively higher than the male respondents 46.6%. Most of the respondents were between 20 -22 years of age and only 4.7% were of 25 years of age. The average positive response for the knowledge-related statements was found to be 86.5% and the average positive response for the perception-related statements was found to be 70.67%. CONCLUSION: The findings showed adequate knowledge among pharmacy students and positive perception towards pharmacovigilance and ADRs reporting. This survey strongly suggests that there is a great need for increasing knowledge in clinical pharmacy courses and practical exposure to cases in the hospitals through internship programs which are meant to provide a unique opportunity for the pharmacy students that they must learn and practice the skills required for quality ADR reporting

Zeenath banu

Purpose Noise pollution is a common health hazard worldwide which is emitted along with chemical air pollutants, simultaneously from many sources. Some studies have been conducted to control these pollutants, simultaneously with promising results being achieved. Dielectric beads have been used in air pollution control technologies, successfully and probable effectiveness of them in noise reduction can be promising in dual use of them in the exhausts emitting noise and air pollution, simultaneously. Methods In order to investigate the effectiveness of dielectric beads in noise reduction, two types of them; namely glass and ceramic beads, were placed separately inside the connecting tube of a double-expansion chamber muffler. Then the transmission loss (TL) of muffler was examined using impedance tube. A factorial design was used to evaluate and optimize the effect of noise related parameters on TL of such a system. Results Results show that the presence of dielectric beads has significant effect on TL of muffler. The maximum TL was obtained as 74.76 dB for muffler with ceramic beads, under the optimal condition of 5250 Hz and 120 dB. Measurement of TL and sound absorption coefficient (SAC) of glass and ceramic beads showed that the noise reduction in muffler with ceramic and glass beads is probably due to SAC in ceramic beads and noise reflections in glass beads, respectively. Conclusion These results promise the dual use of dielectric beads in the exhausts emitting noise and air pollution simultaneously.

Niloofar

Hemolytic uremic syndrome (HUS) is a microangiopathic thrombotic disease, which is classified into atypical, typical, and secondary types. Thrombocytopenia, acute kidney failure, and hemolysis are the main features of HUS regardless of its type. Infection with Shiga toxin-producing Escherichia coli causes typical HUS, and gene mutations trigger atypical HUS, while secondary HUS is associated with bone marrow transplantation, autoimmunity, cancer, and other diseases. New insights into the pathogenesis of HUS have emerged over the past decades, suggesting an important role of the complement system in disease pathogenesis, which has been reinforced by the efficacy of plasma exchange and monoclonal antibodies in its treatment. In this review, we performed an updated review of HUS with a focus on understanding its pathogenesis.

Karishma

Cet article vise à mettre en évidence les expériences et points de vue de certains auteurs sur l’apprentissage implicite du langage humain. L’apprentissage implicite est une procédure fondamentale. Le comportement devient sensible aux caractéristiques structurales. Dans le premier point de vue, il y a eu trois expériences qui ont montré que les jeunes apprenants sont sensibles aux régularités lexicales qui n’ont pas été explicitement enseignées; la deuxième expérience portait sur l’utilisation de la répétition des lettres quant à la troisième, elle portait sur la préférence des consonnes uniques ou doublées. Les résultats de ces expériences ont montré que les jeunes apprenants sont sensibles à la fréquence de doubles consonnes, à l’identité des consonnes qui peuvent ou ne peuvent pas se répéter. Les difficultés innées à l’apprentissage de la langue ont fait l’objet du deuxième point de vue. Elles sont de deux ordres: la langue en tant qu’un ensemble de séquences sonores et les indices de découverte d’un mot dans un discours. Les enfants segmentent les mots à partir de huit mois. Les connaissances procédurales se mettent en place par la répétition mentale et pratique. Les propriétés structurelles et statistiques sont à la base de l’apprentissage de la langue.

Assanvo

The purpose of the study was to find out the effect of pranayama on type-2 diabetes on metropolitan people. In the present study researcher wants to observe the effect of pranayama on type 2 diabetes on metropolitan people and to develop a specific package for type 2 diabetes. For this purpose researcher collect 60 sample from nearest diabetic Clinic and Hospital in the city and it is randomly divided into two groups one is experimental and another is control group. In the study researcher used bio-chemistry lab tools. In the study research design used Pre-test, post-test control-experimental group and researcher used two variable type 2 diabetes as dependent and pranayama used as independent variable and in the study there was significant effect of yogic practices on type 2 diabetes.

Shekhar boro

Implementation of Statistical Process Control (SPC) techniques in food and beverage industry are crucial to deliver consumable product that meets customer expectations. This study investigated industrial pH forecasting and process stability in a syrup manufacturing facility. We analyzed 1,247 pH observations with three objectives: (1) Quantify instability via control charts, (2) Model pH dynamics using Seasonal Autoregressive Integrated Moving Average (SARIMA) and Classification And Regression Trees (CART), and (3) Develop diagnostic frameworks for unstable processes. Methodologically, Exponentially Weighted Moving Average (EWMA) charts assessed stability; Box-Cox transformed SARIMA (λ=2) with seasonal differencing was used for forecasting; CART identified variable importance. Control charts revealed profound instability: 83.3% of points violated 3σ limits; run tests significant (p<0.001). For SARIMA, (1,0,1)(0,1,1)₁₂ achieved significant parameters (p<0.0001) with improved residual diagnostics versus non-seasonal ARIMA, though minor autocorrelation remained at lag 12 (p=0.003). CART explained training R²=18.86% and test R²=17.93% of pH variation, identifying filling weight and sodium benzoate as key predictors. Crucially, this study demonstrates that forecasting retains diagnostic utility even in unstable environments: SARIMA residuals provide seasonal fingerprints of assignable causes, while CART thresholds guide intervention priorities. SARIMA(1,0,1)(0,1,1)₁₂ demonstrated superior residual properties: eliminated back forecast warnings (present in ARIMA), reduced autocorrelation at lag 24 (p=0.017 vs 0.040), and explicitly modeled 12-period seasonality. While process instability persists, SARIMA provides diagnostic fingerprints of assignable causes through seasonal parameters (SMA₁₂=0.9846, T=513.12) and residual patterns. We conclude that SARIMA offers enhanced short-term forecasting capability, but process intervention remains essential for reliability. The study advocates for integrated instability-informed forecasting combining SARIMA diagnostics, real-time control charts, and expanded sensor deployment.

Mostafa eissa

The increasing prevalence of Artificial Intelligence (AI) in creating content signifies a notable change in the digital communication landscape. While the broader effects on widespread media platforms have been extensively discussed, the specific consequences within specialized online communities remain less explored. These communities, frequently founded and established on shared interests, mutual confidence, and perceived genuineness, are particularly susceptible to alterations in the origin and trustworthiness of content. This paper challenges three questions: (1) How AI content affects credibility perceptions, (2) Verification methods used by communities, (3) Consequences for trust dynamics. A hypothetical framework would be used to investigate the potential impact of AI-produced content on the dynamics of trust and credibility within these focused digital environments. By drawing upon existing academic work in media studies, the behavior of online communities, and the concept of source credibility, a theoretical model and outline a potential research strategy were encouraged to examine how the presence, identification, and interpretation of content authored by AI might modify member interactions, processes for verifying information, and the overall unity of the community. The hypothetical outcome suggests that the subtle integration of AI content could diminish perceived authenticity, complicate established indicators of trust, and potentially lead to the fragmentation or decline of communities that depend on authentic human connection and collective expertise. The article concludes by considering the ramifications for those who manage communities, design platforms, and participate as members, stressing the importance of greater openness and digital literacy in navigating the evolving digital media landscape.

Mostafa eissa

Background: Sickle cell disease (SCD) is one of the most common genetic diseases worldwide, with very high prevalence rates in sub-Saharan Africa, especially Nigeria. Given the importanceand benefits of newborn screening (NBS), it is essential to assess awareness and acceptance of NBS for SCD and the factors influencing its acceptance in this region. Methods: This was a hospital-based, cross-sectional study that examined pregnant women attending the antenatal clinic for their first visit between August 1 and October 31, 2023. This antenatal clinic has an average annual attendance of 1,521 pregnant women who come for their first visit. The data obtained were analyzed using IBM SPSS Statistics (version 20), and the results were presented in prose, tables, and figures as appropriate. A level of statistical significance was set at p < 0.05. Results: Three hundred and two (302) pregnant women were recruited for the study. Though there was low awareness (13.2%), there was a high acceptance rate (96.7%) of NBS for SCD amongst the women studied. However, the type of marriage (monogamous marriage, p = 0.029) was the only factor found to have a significant relationship with the respondents’ willingness to accept NBS for SCD. Conclusions: Community education, with an emphasis on married couples, women of reproductive age, and religious leaders, should be intensified. The monogamous marriage setting may reflect marital stability, social support, or correlated socioeconomic factors on health decision-making. However, this may have different implications in different societies.

Karishma

Telangana, a rapidly developing state in India, is committed to transforming its higher education landscape to meet the demands of the 21st century. This abstract outlines the key strategies and initiatives being implemented to elevate educational standards and ensure that students receive a world-class learning experience. This paper explores the efforts and strategies implemented to elevate the standards of higher education in Telangana, focusing on the challenges and opportunities encountered in delivering quality education. Over the past decade, Telangana has taken significant steps to enhance its higher education system by improving infrastructure, curriculum, teaching methodologies, and fostering collaborations with national and international institutions. The introduction of state-specific initiatives, such as the Telangana Academy for Skill and Knowledge (TASK), along with reforms in university governance, accreditation processes, and the promotion of research and innovation, has played a crucial role in improving educational outcomes. The paper also delves into the socio-economic impact of these improvements, particularly the increased employability of graduates, their contributions to the local economy, and the role of emerging institutions like Young India Skill University. By addressing both the successes and ongoing challenges, this study aims to provide insights into how quality higher education can be a catalyst for regional development and social mobility in Telangana.

Dr gedam kamalakar

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 Englishto-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature.

Kamal singh

Background: The goal of nursing profession is to prepare the nurses to meet diverse needs of the patients, delivering holistic care to the patients. It is the need of the hour for the Nursing students to utilize their knowledge, skills, and technologies to practice independently and collaboratively with all health professionals. Any type of negligence in their work may result in dire consequences. Method: Descriptive Survey Research design was adopted for a study to assess the Academic Procrastination factors for General Nursing students at selected Schools of Nursing, Bhopal, with Sample size of 50 General Nursing students. Result: Result revealed that majority, 35 nursing students were male whereas 15 were females, majority of students (18) were in age group of 22-23 years, 32 students were in GNM 3rd year, mostly (43) resided in Urban area, majority (44) belongs to nuclear family, and 28 mothers as compared to 41 fathers of students were educated. Out of 50 respondents who were the subjects of research on the causes of academic procrastination, namely: 12 respondents (24%) said that it was caused by habit, 15 respondents (30%) answered Poor time management, 23 respondents (46%) said it was due to Tiredness, 28 respondents (56%) said it was due to peer pressure, 22 respondents (44%) due to Low motivation, 14 respondents (28%) answered unclear tasks, and 36 (72 %) said it was due to Deadlines for submission. Majority of nursing students 38 (76%) were moderately affected by Personal factors, and by Environmental factors only 26 (52%) students were moderately affected as compared to academic factors at 12 (24%) students who were moderately affected. Conclusion: The study concluded that personal and environmental factors have more effects on academic procrastination as compared to academic factors

Dr k c yadav

Woman constitutes the family, which leads to the development of society and Nation. The social and economic development of women is necessary for the overall economic advancement of any society or a country. Entrepreneurship comprises venture activities that are the center of the recognition of various opportunities, creativity, and innovation in the production process and development of new business models and ventures. Entrepreneurship plays a major role in developing society of a fastdeveloping country like India. In comparison to other countries, the event of women entrepreneurship is extremely low in India, especially in rural areas. However, middle-class women aren't too eager to alter their roles because of fear of social backlash. The growth is more visible among high families in urban areas. Rural women frequently have primary responsibility for agricultural production, additionally to domestic responsibilities and childcare. In developing countries like India where the economic status of women is extremely pathetic especially in rural areas and opportunities of earning are very less. For establishing self-esteem and recognition in society, women are attracted to entrepreneurship. To sustain within the competitive market, businesses administered by women are mainly hooked into internal resources and their capabilities supported which they struggle to compete with the external environment. The present paper endeavors to study the opportunities and challenges of women entrepreneurs. The study aims to analyze the factors that encourage women entrepreneurs. This study is based on secondary data collected from previous research papers, journals given by various research scholars, blogs, and websites. This study concludes that women entrepreneurs should be provided with special training facilities to overcome challenges and for developing their skills and talents.

Mamta gaur

Stability studies ensuring the maintenance of product quality, safety and efficacy throughout the shelf life are considered as pre-requisite for the acceptance and approval of any pharmaceutical product. These studies are required to be conducted in a planned way following the guideline issused by ICH, WHO and or other agencies. Importance of various methods followed for stability testing of pharmaceutical products, guideline issued for stability testing and other aspects related to stability of pharmaceutical products have been presented in a present review.

Prachi barbhaiya

The subjective experience of consciousness, a cornerstone of human existence, is profoundly disrupted in disorders of consciousness (DOC) arising from severe brain injuries, spanning-states from coma to the minimally conscious state. A significant challenge in clinical practice is the phenomenon of covert consciousness, in which individuals may retain awareness despite the absence of overt behavioral responsiveness. Diagnosis based solely on observable behavior is inherently limited by factors such as co-occurring motor impairments, the fluctuating nature of consciousness, and subjective interpretation, potentially leading to misclassification. To overcome these limitations, neuroscientific methodologies have advanced significantly. To address these limitations, neuroscientific methods have advanced considerably. Functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) provide objective evidence of preserved brain activity and cognitive processing, enabling detection of willful modulation and offering prognostic insight. Electrophysiological techniques—including electroencephalography (EEG), event-related potentials (ERPs), transcranial magnetic stimulation combined with EEG (TMS-EEG), and advanced downstate analysis—further reveal dynamic neural patterns indicative of residual awareness. The detection of covert consciousness has profound ethical, clinical, and societal implications. It necessitates a re-examination of patient rights, end-of-life decision-making, the use of brain-computer interfaces, and societal conceptions of personhood. This evolving understanding mandates a shift towards integrating objective neuroscientific assessments with compassionate, person-centered care, aiming to preserve dignity and navigate the complex ethical landscape of severe brain injury.

Mostafa eissa