In this study, we implement a lightweight CNN for sarcasm detection using audio input. To achieve this goal, we propose DepthFire block. We propose a lightweight version of the traditional Depthwise convolution layer that focuses on reduced memory. Unlike the traditional depthwise convolution layer that focuses on reducing the memory requirements of the entire architecture, our solution offers a specific and targeted approach that specifically reduces the memory requirements of the depthwise convolution layer through parameter reduction.We evaluated the impact of its energy consumption and the performance of our proposed solution with other existing solutions and on different activations, pooling functions and datasets.We further tested the applicability of the solution on 2D input.And our solution obtained 82.98 percent model size reduction as compared to MobileNetV2 and 58.94 percent as compared to MobileNetV3 small with a energy reduction of 56.48 percent on CIFAR10 dataset.

Jiby mariya jose

Rasa aushadhis are known for their uniqueness in curing the diseases with a very low dosage. These formulations are divided into two types based on their mode of preparation i.e., Single drug and Compound drug formulations. Based on their origin, the drugs are divided into three types, Herbal, Mineral and Animal. Any of these two or three together is combined to make a compound formulation. Apart from these, the other major factor which is needed for a formulation is the Rasa Panchaka of a Drug. Many of the formulations are being prepared based on their availability, keeping their Rasa Panchaka and Samprapti vighatana in mind. These formulations are designed in such a way that two or more drugs will be having one common quality, or Opposite Qualities or an Antidote of a particular Vishadravya, which can help in curing the disease. So an attempt is made to Review Tribhuvanakeerti Rasa with its Probable mode of action.

Suri abhiram

Lightweight materials are increasingly being used in engineering applications today. Composites are replacing traditional metallic materials in a variety of sectors, including aerospace, defence, and aircraft production, where there is a demand for structural materials with high strength-to-weight and stiffness-to-weight ratios. Natural fibre composites are also increasingly used in place of synthetic fibre composites in a variety of technical fields due to their affordability and environmental friendliness. In this particular study, Kevlar (Aramid fibres) is combined with other materials to improve the mechanical characteristics and impact resistance of composites. The only material that costs more than Kevlar is carbon fibres. The goal is to maximize mechanical qualities while utilizing the fewest amounts of pricey Kevlar fibres possible. The hand layup technique was used to create the hybrid composites, which included both natural and Aramid fibres. The performance of various mechanical properties was then assessed. In addition, a morphological examination was done to look at the interior structure of the composite materials that were examined. The results show that the hybrid composite, with or without the addition of nanoparticles, demonstrates great strength with little reliance on Kevlar fibres.

Boopathy govindarajan

Zn1-xCdxO (x=0, 0.04, 0.06, 0.08) ternary alloys were successfully synthesized by Sol–gel method. The prepared powders were sintered at 800°C for 4hrs. The compositional, structural and optical studies were investigated by SEM equipped with EDS, XRD and UV-Visible Spectroscopy. XRD results were compared with JCPDS data and confirmed the formation of Cd doped ZnO nanoparticles with polycrystalline single phase hexagonal wurtzite structure. The crystallite size was found to decrease from 21 to 17 nm with increase in the concentration of Cd. EDS analysis revealed the existence of Cd content in ternary alloys. From Ultraviolet-visible spectral studies optical band gap vary from 3.21 eV to 3.12 eV with Cd concentration. © 2016 Elsevier Ltd. All rights reserved. Selection and Peer-review under responsibility of International conference on materials research and applications-2016.

Mohan kumar thumma komma

Background: Epilepsy and cerebral palsy (CP) are reported as the two most common indications for electroencephalogram (EEG) requests in children in Nigeria. Although several studies have examined epilepsy and EEG findings in the country, most have not documented the conditions under which EEG recordings were performed—whether during wakefulness, natural sleep, sleep deprivation, or drug-induced sleep. This study aimed to compare the effectiveness of sleep deprivation and the use of melatonin in achieving sleep EEG recordings in children with epilepsy and CP versus those with epilepsy without CP, at the Pediatric Neurology Clinic of Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria. Methods: This was a cross-sectional comparative study involving children aged 6 months to 15 years, conducted between March 2022 and February 2023. A total of 121 subjects with epilepsy associated with CP (Group 1) and 124 subjects with epilepsy not associated with CP (Group 2) were consecutively recruited. Conventional inter-ictal sleep EEG recordings were performed using an EEG machine (Model: Satellite P200-132, Toshiba Europe GmbH, DC 19V, 3.4A). Data were analyzed using SPSS version 25.0, and a p-value of <0.05 was considered statistically significant. Results: Of the subjects with epilepsy and CP (Group 1), 67 (55.4%) achieved sleep EEG recordings following sleep deprivation, while 54 (44.6%) required sleep induction with melatonin. Among subjects with epilepsy without CP, 107 (86.3%) attained sleep EEG recordings after sleep deprivation, whereas 17 (13.7%) required melatonin-induced sleep. The difference between the two groups regarding the need for melatonin to induce sleep was statistically significant (p < 0.001). Conclusions: Sleep deprivation was more effective in achieving sleep EEG recordings in children with epilepsy who did not have CP.

Karishma

Background: Hyoscine N-butylbromide (HBB; Buscopan) is commonly used in obstetric practice to accelerate labor and facilitate cervical dilation, yet variability in knowledge, attitude, and clinical usage persists among practitioners. This study assessed the knowledge, attitude, and usage patterns of HBB among medical practitioners at Abia State University Teaching Hospital (ABSUTH), Aba, Nigeria. Methods: A descriptive cross-sectional survey was conducted between August 2024 and April 2025 among 102 medical practitioners directly involved in labor care at ABSUTH. A structured, self-administered questionnaire, validated through expert review and pilot testing (Cronbach’s α = 0.78), was used to collect data on demographics, knowledge, attitude, and usage patterns. Descriptive and inferential statistics, including Chi-square tests and Pearson correlations, were performed using SPSS v. 25.0. Significance was set at p < 0.05. Results: Among 102 respondents, 93.1% had heard of HBB, and 70.6% correctly identified it as an antispasmodic. While 69.6% recognized its primary mechanism as cervical relaxation, 48% were aware of contraindications. The majority agreed that it is effective (mean = 4.12) and improves maternal outcomes (mean = 4.01). About 85.3% had administered it during labor, mostly in the active phase (64.7%), with the intravenous route being most preferred (56.9%). Statistically significant associations were observed between knowledge and attitude (χ² = 18.442, p = 0.001), specialty and frequency of use (χ² = 12.695, p = 0.048), and formal training with dosage knowledge (χ² = 15.210, p = 0.002). Knowledge, attitude, and usage scores were significantly correlated (p < 0.01). Conclusions: While the majority of practitioners at ABSUTH are familiar with and frequently use HBB in labor management, knowledge gaps and variations in practice remain. Strengthening formal training and incorporating standardized protocols could improve evidence-based usage and maternal outcomes.

Karishma

Background: Non-syndromic combined pituitary hormone deficiency (CPHD) occurs due to defects in transcription factors that govern early pituitary development and the specification of hormone-producing cells. The most common mutations are in the Prophet of Pit-1 (ProP1) gene. This work aims to (1) report findings of genetic analyses of Tunisian patients with non-syndromic CPHD and (2) describe their phenotype patterns and their evolution through life. Methods: Fifteen patients from twelve unrelated families with variable clinical phenotypes were included after excluding autoimmune and acquired forms of non-syndromic CPHD. Detailed pedigree charts and auxological, hormonal, radiological, and therapeutic details were recorded. Sanger sequencing was performed, and sequences were analyzed with a specific focus on coding and splice site regions of the ProP1 gene. Retained variants were classified using several in silico pathogenicity prediction tools and the VarSome platform. Results: We identified the common p.Arg73Cys mutation in seven patients from four unrelated pedigrees. We found a novel homozygous mutation (c.340C>T) in one sporadic case. This mutation generates a truncated ProP1 protein, predicted to be non-functional, lacking the last 112 codons (p.(Gln114Ter)). We confirmed by polymerase chain reaction (PCR) the absence of large exon deletions or insertions in the remaining sporadic patients (7/8). Conclusions: We report two mutations {one newly identified [p.(Gln114Ter)] and one previously reported (p.Arg73Cys)} in five unrelated Tunisian families with non-syndromic CPHD. This work is of clinical importance as it reports the high frequency of the p.Arg73Cys mutation in Tunisian CPHD families. Our study also illuminated the involvement of novel gene(s) in the emergence of non-syndromic CPHD.

Mariam moalla

Introduction: The prevalence of oral hygiene behaviors (OHB) is very low among school children in Ethiopia. However, the determinants of student's readiness/intention to perform those behaviors have been remained unstudied. Objective: This study aimed to identify the determinants of oral hygiene behavioral intention (OHBI) among preparatory school students based on the theory of planned behavior (TPB). Methods and materials: An institution-based cross-sectional study was conducted among 393 students. A 98-item self-administered questionnaire was used to evaluate oral hygiene knowledge (OHK), oral hygiene behavior (OHB), and OHBI based on TPB variables [attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC)]. Descriptive statistics and structural equation modeling analysis (SEM) were employed to confirm relationships and associations among study variables. A p-value of less than 0.05 and a 95% confidence interval were used to declare statistical significance. Results: A total of 393 students were participated with a response rate of 97.5%. The mean age of the participants (54% females) was 18 (± 1.3) with an age range of 16 to 24. The TPB model was well fitted to the data and explained 66% of the variance in intention. ATT (β = 0.38; 95% CI, (0.21, 0.64)), SN (β = 0.33; 95% CI, (0.05, 0.83)) and PBC (β = 0.29; 95% CI, (0.13, 0.64)) were significant predictors of OHBI, where ATT was the strongest predictor of OHBI. Conclusion: The TPB model explained a large variance in the intention of students to improve their OHB. All TPB variables were significantly and positively linked to stronger intent, as the theory suggests. Furthermore, these results suggest that the model could provide a framework for oral hygiene promotion interventions in the study area. Indeed, these interventions should focus on changing the attitudes of students towards OHB, creation of positive social pressure, and enabling students to control OHB barriers.

Kegnie shitu

Plant secondary metabolites refer to various chemical compounds that plants produce. Still, they are not directly involved in essential growth processes like primary metabolites (such as sugars, amino acids, and lipids). The term "secondary metabolite" has generated controversy, as it implies these compounds are of minor importance to plants. "Special metabolites" may be a more suitable term. These metabolites protect plants from both abiotic and biotic stress. The vast diversity of plant secondary metabolites showcases plants' incredible adaptability and versatility, providing an arsenal of chemical tools to defend against herbivores, protect from pathogens, attract pollinators and seed dispersers, adaptability and thrive in environmental interactions. Plants can, therefore, survive under less-than-ideal conditions. The profound impact of plant secondary metabolites highlights the intricate relationship between plants and humanity, opening doors to innovative applications with far-reaching implications.

Dr. salman ahmed

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

Lack of development of adequate social skills of special need students results in many disruptive behavior and poor academic gains. School setting is also an indicator of rise in academics and learning of social skills. The purpose of the current study was to investigate the social skills development and educational outcomes of special need students attending special and inclusive settings. Only 110 visually impaired students (60 from special and 50 form inclusive school setting) represent as special need children who participated as sample of the study. Data were collected from 5 Special Schools for Visually Impaired and 5 Inclusive Schools located in Delhi and NCR. Hindi Version of the Matson Evaluation of Social Skills with Youngsters: Self-rating form (MESSY) by Sharma (2000) was used to assess social skills development and to measure the educational outcome, aggregate percentage marks obtained by the students in their previous year‟s annual examination were collected from the records of the schools. Hypotheses formulated for this study were verified by applying appropriate statistical techniques- Mean, Standard Deviation and t-test. Significant differences found in the development of social skills and educational gains of the special need children in special vs. inclusive settings. Inclusive setting, to a great extent provides conducive learning environment and platform to develop social skills. Results of the study recommend implications for special and normal children, teachers and administrators.

Rubul kalita

This review was aimed to describe a new approach of healthcare performance strategy based on individual genetic variants. Personalized medicine is a model for health care which is a combination of preventive, personalized, participatory and predictive measures. It is an approach for a better treatment by identifying the disease causing genomics makeup of an individual. This work features key advancements in the improvement of empowering advances that further the objective of customized and precision medication and the remaining difficulties that, when tended to, may produce phenomenal abilities in acknowledging genuinely individualized patient consideration. Customized treatment for patients determined to have strong tumors has brought about a few advances as of late. To improve a multi-drug approach ready to coordinate DNA and RNA adjustment, proteomics and metabolomics will be essential. The execution of translational examinations dependent on fluid biopsy and organoids or xenografts to assess molecular changes because of clonal weight produced because of the utilization of target specialists or tumor heterogeneity would help in the recognition of systems of opposition, proposing opportunities for novel mixes. The investigation of massive data in oncology can profit altogether from being engaged by artificial intelligence and machine learning strategies.

Mediterranean journal of pharmacy and pharmaceutical sciences

The use of spectroscopic analysis, particularly UV spectrophotometer, is a simple and essential technique for bulk drug estimation, formulation studies, and compatibility assessments of drugs with various excipients. In the pharmaceutical industry, various analytical instruments, including Fourier transform infrared spectroscopy (FTIR), are employed for investigating drug-excipient interactions that can impact the stability of active pharmaceutical ingredients. This study aimed to develop a UV spectrophotometric method for the analysis of Pioglitazone hydrochloride in phosphate buffer (pH 7.4) and methanolic solution, assessing its linearity and compliance with Beer's Law. Furthermore, we aimed to use FTIR to characterize potential interactions between Pioglitazone and common pharmaceutical excipients, such as Guar Gum, Chitosan, and Sodium Alginate. Standard solutions of Pioglitazone were prepared in phosphate buffer (pH 7.4) and methanol. UV spectrophotometer was conducted to determine the maximum absorption wavelength. Calibration curves were constructed to evaluate linearity and adherence to Beer's Law. FTIR analyses were performed to investigate drug-excipient interactions by examining the functional groups. In phosphate buffer (pH 7.4), the maximum absorption wavelength for Pioglitazone hydrochloride was 268 nm. The calibration curve for Pioglitazone in phosphate buffer (pH 7.4) demonstrated linearity in the concentration range of 1–20 μg/ml, with a correlation coefficient of 0.998. In methanol, the maximum absorption wavelength for Pioglitazone hydrochloride was found to be 272 nm. The calibration curve in methanol exhibited linearity in the range of 1–20 μg/ml, with a correlation coefficient of 0.999. FTIR analysis revealed potential drug-excipient interactions, particularly in the case of Guar Gum, Chitosan, and Sodium Alginate, suggesting the formation of stable hydrogen bonds. The developed UV spectrophotometric method for Pioglitazone analysis is a reliable, cost- effective, and reproducible approach, making it a valuable tool for drug development and quality control. Additionally, the FTIR characterization confirmed interactions between Pioglitazone and common pharmaceutical excipients, enhancing our understanding of formulation compatibility,

Archana mehrotra

Inhalation of a gas anesthetic produces rapid induction of anesthesia without the need for intravenous drugs. Although it is specifically useful for patients who are afraid of injections or if their intravenous access is difficult, single-breath induction may also allow patients to wake up more quickly than intravenous induction drugs. The object of this study is to compare isoflurane and sevoflurane during inhalation in Libyan patients undergoing surgery in terms of side effects like blood pressure and heart rate changes and complications. Seventy- five patients were recruited in this study from different hospitals in Benghazi City, Libya (January to March, 2022) including Aljalaa Hospital and Alatfal Hospital, and data including side effects and complications were collected through data collection. Surgeries that used isoflurane, or sevoflurane or both inhalation gases for anesthesia were included in our data. While the surgeries which did not use any of these inhalation gases were excluded from our data. When we compared the side effects of using isoflurane with sevoflurane according to the age group, we found that hypotension is the most occurring side effect companies to the use of isoflurane in our adult population (28.6%) and in pediatrics (14.3%) but there was a low incidence of other side effects related to sevoflurane administration. Regarding to side effects related to the use of sevoflurane according to the age groups, 16 adult Libyan patients experienced no side effects (61.5%) compared to 10 children (38.5%). It can be concluded that both isoflurane and sevoflurane are suitable for daycare anesthesia. Sevoflurane might be an ideal drug for single-breath inhaled induction of anesthesia due to it has fewer side effects and complications.

Mediterranean journal of pharmacy and pharmaceutical sciences

Background: There is a lack of adequate data about the prevalence and types of tuberculosis (TB) disease in Hadramout Al-Sahel, Yemen. Hence, this study aimed to investigate the prevalence, types, and outcomes of TB disease in Hadramout Al-Sahel, Yemen. Materials and Methods: This cross-sectional study was conducted at the National TB Program (NTP) center in the city of Al Mukalla, Hadramout, Yemen. The study enrolled TB patients from different districts of Hadramout Al-Sahel who had registered at the NTP center between January 1 and December 31, 2021. Results: A total of 127 new active TB cases were recruited, including 102 (80.3%) with pulmonary TB (PTB) and 25 (19.7%) with extra PTB (EPTB). The overall prevalence of TB disease in 2021 was 12.7 new TB cases per 100,000 population, while the median age of the study population was 38 years. The majority of cases (23.6%) belonged to the age group of 35–44 years. There were 85 (66.9%) males, and most patients (74; 58.3%) were identified in Al Mukalla City. EPTB was detected in 25 (19.7%) patients, with pleural effusion being the most frequent manifestation, found in 12 (48.0%) patients. All patients received 4-agent anti-TB therapies; 99 (77.9%) patients received anti-TB therapy for 6 months; 9 (7.1%) patients received anti-TB therapy for 9–12 months; 8 (6.3%) patients died during treatment; and 11 (8.7%) patients were lost during follow-up. The majority of patients (108; 85%) were cured on completion of treatment. Conclusion: The prevalence of TB in Hadramout Al -Sahel was 12.7 cases per 100,000 population. Males were affected more than females; the pleura was the most commonly affected extrapulmonary site; and 85% of cases were cured. The results indicated the need to support the Al Mukalla NTP center, by providing more resources for improved TB reporting and for conduct of surveillance to detect new TB cases among high risk groups. Health authorities are also urged to provide state hospitals with the equipment needed for TB diagnosis.

Karishma

Inclusive education (IE) is a new approach towards educating the children with disability and learning difficulties with that of normal ones within the same classroom. It seeks to address the learning needs of all children with a specific focus on those who are vulnerable to marginalization and exclusion. It implies all learners – with or without disabilities being able to learn together through access to common schools and community educational setting with an appropriate network of support services. This is possible only in flexible education system that includes the needs of different types of learners and adapts itself to meet their needs. Inclusive Education addresses the diverse needs of all learners by reducing barriers inside schools. It is a process of strengthening the capacity of the education system to reach out to all learners. This educational approach provides all students greater opportunities for academic and social achievement. This includes opportunities to participate in the full range of social, recreational, arts, sports, music, day care and afterschool care, extra-curricular, faith based, and all other activities. Inclusive education argues that all children irrespective of the nature and degree of disability should be educated in general schools with non-disabled children. The schools and classrooms operate on the idea that, with right amount of support, students with disabilities can be as competent as students without disabilities.

Kamal singh

In their different ownership structures, business enterprises pursue different strategies towards accomplishing their owners’ needs and interests. At the heart of these accomplishments is the generation of sufficient financial returns to cover obligations as they become due and residual incomes for the owners. It is doubtless that without a grip of financial stability, the survivability of for-profit organizations becomes bleak. Financial management plays and instrumental role in this case. The generation of sufficient information for decision making for the business and investors alike is integrally critical in shaping the progression of the business enterprise. While businesses provide financial statements according to prevailing laws and accounting standards to the public for their consumption in decision making, they are further needed to be accountable to them regarding their performance and investors’ engagements, especially considering that investors are foundational sources of capital for organizational operations.

Zamzam abdelazim

The present study focused on analysing the impact of ‘Make in India’ campaign on FDI inflows in country. The research period is divided in two parts one is pre ‘MII’ & another is post ‘MII’ period. The analysis of ‘Make in India’ campaign is done to identify the scope of the campaign & methodology of working of various allied departments monitoring campaign. The present research work also attempted to take overview of various policy reforms initiated by Government of India to promote the FDI as well domestic investment in 25 sectors shortlisted under MII. The FDI inflows statistics reveals that, the post MII period is showing the highest growth in FDI equity inflows as compare to same period i.e. 2009- 2014. The MII initiative is one of the reason for the jump in FDI inflows. The overview of policy reforms shows that GOI through DIPP attempted to open almost all sectors for 100% FDI through automatic route. Government has provided multiple incentives for Foreign Investors to establish their manufacturing facilities in country but very negligible response has been seen in the nature of FDI equity inflows in the same period. Further results of study reveals that multiple ‘MOU’s have been signed by States & Central Governments, but they yet not converted in actual investments. The major reasons behind the same is lack of SWOT analysis through Governments before inviting the foreign investors. As well lack of basic infrastructure, land, lack of skilled manpower, cheap & un interrupted power supply to MIDC’s & SEZ’s is yet not successfully provided, lower rankings in Ease Of Doing Business (EODB), Global Manufacturing Competitiveness Index (GMCI) is also cause of concern & tumbling block in the success of MII mission..

Anshuman vijay magar

A performance analysis on a vapour compression refrigeration system with various refrigerants mixture of R152a, RE170, R600a, and R290 were done for various mixture ratios and their results were compared with R134a as possible alternative replacement. The results showed that all of the alternative refrigerants investigated in the analysis except R431A, [R 152a (29%), R290 (71%)] have a slightly higher performance coefficient (COP) than R134a for the condensation temperature of 500C and evaporating temperatures ranging between -300C and 100C.Refrigerant blend of R152a/RE170 (20/80 by wt%) instead of R134a was found to be a replacement refrigerant among other alternatives. The effects of the main parameters of performance analysis such as refrigerant type, degree of sub cooling and super heating on the refrigerating effect, coefficient of performance and volumetric refrigeration capacity were also investigated for various evaporating temperatures.

Baskaran

In this intelligent transportation systems era, traffic congestion analysis in terms of vehicle detection followed by tracking their speed is gaining tremendous attention due to its complicated intrinsic ingredients. Specifically, in the existing literature, vehicle detection on highway roads are studied extensively while, to the best of our knowledge the identification and tracking of heavy-construction vehicles such as rollers are not yet fully explored. More specifically, heavy- construction vehicles such as road rollers, trenchers and bulldozers significantly aggravate the congestion in urban roads during peak hours because of their deadly slow movement rates accompanied by their occupation of majority of road portions. Due to these reasons, promising frameworks are very much important, which can identify the heavy-construction vehicles moving in urban traffic-prone roads so that appropriate congestion evaluation strategies can be adopted to monitor traffic situations. To solve these issues, this article proposes a new deep-learning based detection framework, which employs Single Shot Detector (SSD)-based object detection system consisting of CNNs. The experimental evaluations extensively carried out on three different datasets including the benchmark ones MIO-TCD localization dataset, clearly demonstrate the enhanced performance of the proposed detection framework in terms of confidence scores and time efficiency when compared to the existing techniques.

Sreelatha r