Analysis Of Pros Research Articles

Revealing the Feedback Loop: Comparing Satellite and Sensor-derived Meteorological Parameters in Groundnut Cultivation

Background: Studying soil moisture’s impact on groundnut, particularly under rainfed conditions, is crucial for improving quality and yield. This research explores soil moisture dynamics using satellite and in-situ sensor data to enhance water management and crop predictions, focusing on the feedback mechanisms between soil moisture and weather variables. Methods: The study was conducted at the Oil Seed Research Station (TNAU) in Tindivanam, Tamil Nadu, using the groundnut variety TMV 14. Soil moisture and weather parameters were monitored at critical crop growth stages, using an in-situ soil moisture sensor (Cr 300) and compared with satellite data from SMAP, ERA5 and Sentinel 1A with environmental factors. Statistical analysis was carried out using SAS JMP Pro and network analysis via Cytoscape 3.8.2 software. Result: Pre-monsoon soil moisture SMAP, SMAP-RZSM and sensor (VWC at 10cm) were found to increase in post-monsoon. Strong positive correlations were attained between SMAP-SM and SMAP-RZSM (r=0.94), indicating a reinforcing loop. Whereas, the negative feedback was observed between SMAP-SM and deeper soil temperatures (-0.91). It underscores the dynamic interplay between soil moisture and atmospheric conditions, essential for developing efficient water management strategies and enhancing crop resilience to climate variability.

Valuation of Ethanol Grade on the Robustness of Acid Number Determination in Fish Oil

The robustness evaluation of the acid number analysis method in fish oil was carried out to see the effect of the type of ethanol used as a solvent in the titration process. The types of ethanol used in this study were pro analysis grade, pharma and food grade, and technical grade. The acid number values (mgKOH/g) in fish oil with various solvents obtained were 2.3955±0.3211 for pro analysis grade; 2.7932±0.2983 for pharma and food grade; 2.7812±0.3362 for technical grade 1; 2.7031±0.3405 for technical grade 2. The acid number for all types of ethanol has a value that is in accordance with the requirements of SNI 8467: 2018 where the acid number value must be less than 3 mgKOH/g. However, if the measurement uncertainty value is included in the calculation, only the pro analysis grade ethanol solvent has an acid number value that is in accordance with the requirements of SNI. The results of the ANOVA test also showed that there was a significant difference in the variation of ethanol types for determining acid numbers because the calculated F value (13.9004) was greater than the F table (3.0984). Therefore, the solvent that must be used in the method of determining acid numbers in fish oil is pro analysis grade ethanol.

Efficiency enhancement in waste management through GIS-based route optimization

Due to rapid urbanization and uncontrolled population growth, solid waste management has become a rising issue in developing nations like Bangladesh. Khulna ranks third among Bangladesh's metropolitan cities. The existing system of Khulna City for transporting municipal solid waste lacks route planning and depends exclusively on the driver's expertise. Hence, this study aims to minimize the length of the present travel paths and assess the advantages of using optimized routes. Secondary datasets like a list of vehicles, financial information, and a list of secondary transfer stations have been collected from the municipality. A field survey was conducted to capture the coordinates of secondary transfer stations. Multiple GPS devices have been installed for monitoring the current paths, stops, and travel time of 31 waste collector vehicles for 10 months. A network database has been prepared and modified by integrating driver's perceptions and field inspection. Network analysis of ArcGIS Pro has been used for finding the optimized routes. The optimized route minimizes the travel distance by 9.40%. By following the optimized routes, about 11.6% of fuel costs can be reduced. This research has the potential to make a significant contribution to the waste management of Khulna City and beyond.

Nitrogen and Sulfur Interaction Affects Strawberry Production and Quality

ABSTRACT Understanding ionic interactions is essential to promote adequate crop nutrition. This study aimed to evaluate the interaction between nitrogen (N) and sulfur (S) and their effects on strawberries’ production and postharvest quality. The experiment was conducted under greenhouse conditions adopting a completely randomized design in a 3 × 5 factorial scheme with four replicates. The treatments consisted of the combination of three rates of S (0, 30, and 60 mg dm−3) in the form of calcium sulfate (CaSO4·2 H2O) and five rates of N (0, 30, 60, 90, and 120 mg dm−3) in the form of urea (pro analysis grade) enriched to 10 atom% 15N. The fruits were harvested weekly when showing ¾ maturation. At the end of the harvest, evaluations of the mineral composition of the plants’ shoots, determination of N utilization, and physicochemical analyses of the fruit pulp were performed. The results showed that the interaction between N and S affected the fertilizer use efficiency (FUE), strawberry production, and the physicochemical attributes of the fruit pulp. Applying 120 mg dm−3 N and 30 mg dm−3 S improved both strawberry production and postharvest quality. Therefore, balancing N and S levels can improve both the yield and quality of strawberries.

Private Equity Valuation and IRR Algorithm

An algorithm is developed that calculates the IRR for various private equity entities within a private equity leveraged transaction. The algorithm calculates the total anticipated value for a transaction and then produces the associated IRRs based on the exit EBITDA, the EBITDA multiple, and the available cash. The benefits of the algorithm are that multiple programming formats become available, insights emerge that are difficult to perceive using an equivalent spreadsheet pro forma analysis, and other types of analyses become possible for examining individual parameters.

Development and validation of clinical implementation methods for patient-reported outcomes in Japanese multi-center palliative care units

BackgroundPatient-Reported Outcomes (PROs) are recommended for use in clinical oncology. However, they are not routinely used in professional palliative care practices in Japan. The reasons include both patient and healthcare provider factors and the implementation of PROs. This study aimed to develop and validate clinical implementation methods for PROs in Japanese palliative care units.MethodsThe Consolidated Framework for Implementation Research (CFIR) was conducted with four palliative care units in Japan. The study was conducted in six steps: unit assessment, development and implementation of a PRO implementation plan, PRO post-implementation survey and analysis of its utilization, a review of the PRO implementation process, creation of a PRO implementation method in a palliative care unit, and use and verification of the implementation method. Steps 1–5 were the development phase, and step 6 was the verification phase.ResultsInterviews were conducted with healthcare providers prior to PRO implementation. Intervention characteristics, patient needs in the palliative care unit, and factors related to the organization were identified as barriers. The implementation plan was developed, and the core members were selected. The implementation procedures were created in the above mentioned steps. PROs were used in the palliative care units. The same was true in the validation phase.ConclusionsThis study guided PROs in specialized palliative care unit in a clinical setting. The method was developed and validated for the implementation of PROs in the palliative care unit. In the PRO implementation process, it was important to assess the unit, address the barriers to implementation, and reduce the burden on healthcare providers. Furthermore, healthcare providers had to be supported by the champion, a person responsible for the implementation of PROs in the palliative care unit.

The Analysis of Pros and Cons Regarding the Arrival of Rohingya Refugees: Religious, Humanitarian, and Socio-Economic Implication

The Analysis of Pros and Cons Regarding the Arrival of Rohingya Refugees: Religious, Humanitarian, and Socio-Economic Implication

Method verification of serum and urine osmolality by Osmo pro micro-osmometer analyzer using freezing point method

Method verification of serum and urine osmolality by Osmo pro micro-osmometer analyzer using freezing point method

Alcohol-associated skeletal muscle mitochondrial dysfunction: insights into Sirt1 regulation

Alcohol-induced skeletal muscle dysfunction affects approximately 50% of individuals with alcohol use disorder (AUD). Alcohol dysregulates mitochondrial oxidative metabolism and promotes oxidative stress. However, the impact of alcohol on skeletal muscle bioenergetic capacity and cellular redox balance remain to be fully elucidated. The expression and activity of Sirtuin 1 (SIRT1), an NAD+-dependent deacetylase, is dysregulated with ethanol metabolism. This disruption has the potential to play a significant role in the intricate regulatory network responsible for alcohol-induced mitochondrial dysfunction in skeletal muscle. Interventional strategies, such as exercise, have the potential to enhance mitochondrial function and promote overall skeletal muscle health. We hypothesize that alcohol dysregulates myotube mitochondrial bioenergetics by reducing mitochondrial respiration in a Sirt1-dependent manner, and we predict that simulating exercise through electrical pulse stimulation will increase Sirt1 expression. Myoblasts were differentiated into myotubes in the presence of ethanol (0 and 50 mM) for 3 days prior to Mito Stress Test using the Seahorse XF Pro Analyzer. Differentiated myotubes treated with ethanol (0 and 50 mM, for 3 days), were exposed to electrical pulse stimulation simulating exercise (30V, 1Hz, 2ms pulses) for 24 h. A mixed-effects model with Šidák correction and repeated samples t-test was used. Means with p-value of less than 0.05 were considered statistically significant. Preliminary analysis indicates significant decrease in ATP-linked mitochondrial respiration (p<0.05) in the presence of ethanol. Ethanol also decreased myotube Sirt1 activity (p<0.05) and Sirt3 protein expression. There was a main effect of electrical pulse stimulation to increase Sirt1 activity (p<0.001) in both the control and ethanol-treated groups. Ongoing analysis will identify alcohol-mediated changes in proteins involved in mitochondrial dynamics regulated by Sirt1. These results show that ethanol significantly decreases mitochondrial bioenergetics in differentiated human myotubes. The ethanol induced changes in Sirt1 activity and Sirt3 protein expression, suggest a potential role of Sirt1-mediated mitochondrial dysregulation with alcohol. This research was supported by NIH/NIAAA T32AA007577, P60AA009803 (PEM) and R21AA030869 (LS). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Design and Analysis of Multi-storey (G+6) Residential Building using Staad pro And AutoCad

The design and analysis of multi-storey residential buildings play a crucial role in ensuring structural integrity, safety, and efficiency in urban infrastructure The present project deals with the design & analysis of a multi storied residential building of G+6 consisting of 4 apartments in each floor. Load analysis forms a critical component of the design process, as it involves determining the magnitude and distribution of various loads acting on the building, including dead loads, live loads, wind loads, and seismic loads. STAAD Pro facilitates the application of these loads and provides robust analysis tools to assess their effects on the structure, ensuring compliance with relevant building codes and standards. The dead load &live loads are applied and the design for beams, columns, footing is obtained STAAD Pro We conclude that staad pro is a very powerful tool which can save much time and is very accurate in Designs. Thus, it is concluded that staad pro package is suitable for the design of a multi-storeyed building Staad pro Analysis include Creating a plan for structural framework Obtaining amodel Structure analysis Structure design

Research on Design and Analysis of Multi-Story Building by using AutoCAD and STAAD-Pro

“The population of India is the second highest in the world as per the 2022 report” [1]. In order to live well, there is an increasing demand for adequate infrastructure. People are migrating from rural to urban regions. Problems will rise due to the high population in urban areas. Due to a lack of available land for construction in metropolitan areas, high-rise building structures are becoming more necessary to address the population density issue. High-rise structures are in high demand, and their construction must be completed without compromising any of the three criteria of cost, timeliness, and safety. AutoCAD design software enables the production of both 2D and 3D drawings for use in constructing multi-story buildings. This study aims to utilize the software package STAAD-Pro to analyze and design a multi-story building, following the production of 2D and 3D drawings using AutoCAD. STAAD-Pro offers a far quicker method of structural analysis and planning for the likelihood of the fewest faults. The design involves load calculations and analyzing the whole structure by STAAD Pro. “The method used in STAAD Pro analysis is Limit State Design followed by Indian Standard Codes. The loads considered for designing the building are dead loads, live loads, and Wind loads. For analyzing a multi-storied building, one has to consider all the possible loadings and see that the structure is safe against all possible loading conditions” [2]. The aim of this study is to analyze the structural behavior of the building and ensure that it meets the necessary design standards and codes. To remain competitive in the constantly expanding market, it is crucial for structural engineers to optimize their time management. This study highlights the importance of using advanced software tools in the design and analysis of complex structures to ensure their safety and stability.

Analysis of Pros and Cons in Using the Water–Energy–Food Nexus Approach to Assess Resource Security: A Review

The water–energy–food (WEF) nexus is drawing much attention in scholarly literature as a novel alternative to address complex resources and achieve resource security. The aim of this study is to analyze and review existing nexus studies to investigate the current status of nexus research worldwide. This study used a narrative review approach to provide a comprehensive overview on the WEF nexus using a variety of databases. It is indicated that the majority of studies in Asia and Africa focused on the water–energy–food (WEF) nexus. China and Brazil had the largest nexus research. Based on the existing literature, most of attention has been paid to food production. However, food consumption patterns and dietary change are rarely evaluated, and there is a lack of study on impacts of dietary change on the WEF nexus. Moreover, there is a lack of frameworks for the evaluation of the WEF nexus under dietary change scenarios. The major challenge of the nexus approach is data availability in crop production, which can be solved by using remote sensing data. There is a lack of standard and conceptual frameworks for nexus assessment and, then, an essential need to provide a new holistic and standard approach that be applicable worldwide to increase connections between researchers and decision makers, as well as the applicability of nexus approaches. Future research must couple the development of a holistic standard approach with experimental tests in different areas, involving interdisciplinary research groups able to carry out all the experimental activities, the numerical simulations, and the statistical analyses of climatic time series (in a climate change perspective) indispensable to demonstrate the real benefits of using a WEF-derived nexus approach.

Abstract 5998: Pharmacological inhibition of the LIF-LIFR autocrine loop reveals vulnerability of ovarian cancer to ferroptosis

Abstract Introduction: Of all gynecologic cancers, epithelial ovarian cancer (OCa) stands out with the highest mortality rates. Despite all efforts, 90% of individuals who receive standard surgical and cytotoxic therapy experience disease recurrence. The potential involvement of leukemia inhibitory factor (LIF) and its receptor (LIFR) in the progression of OCa is still obscure. In this study, we examined the mechanisms by which disruption of LIF/LIFR autocrine loops contributes to the cell death of ovarian cancer cells. Methods: The expression profiles of LIF and LIFR were obtained using 24 distinct OCa model cells, comprising both primary and established cell lines. The effects of EC359 on OCa cells were evaluated using reporter assays, colony formation, cell death, and cell viability. Flow cytometry was utilized to analyze lipid peroxidation. The Agilent Seahorse XF Pro Analyzer was used to calculate the extracellular acidification rate (ECAR) and oxygen consumption rate (OCR). Furthermore, flow cytometry was used for the preparation and analysis of lymphocytes. Mechanistic investigations were performed with RT-qPCR and RNA-seq analysis. The efficacy of the LIFR inhibitor EC359 as a targeted therapy was investigated using cell-based xenografts, syngeneic xenografts, patient-derived organoids (PDO), and patient-derived xenograft (PDX) models. Results: Analysis of cancer databases revealed that elevated expression of LIF or LIFR was associated with poor progression-free survival of OCa patients and a predictor of poor response to chemotherapy. Using 24 different primary and established OCa cell lines that represent four subtypes of epithelial OCa, we demonstrated that LIF/LIFR autocrine signaling is active in OCa. Moreover, treatment with EC359, a novel LIFR inhibitor, significantly reduced OCa cell viability and cell survival with an IC50 ranging from 5 to 50 nM. Furthermore, EC359 diminished the stemness of OCa cells. Mechanistic studies using RNA-seq and rescue experiments unveiled that EC359 primarily induced ferroptosis by suppressing the glutathione antioxidant defense system. Using multiple in vitro, ex vivo, and in vivo models including organoids, cell-based xenografts, patient-derived explants, and xenograft tumors, we demonstrated that EC359 dramatically reduced the growth and progression of OCa. Additionally, EC359 therapy considerably improved tumor immunogenicity by robust CD45+ leukocyte tumor infiltration and polarizing tumor-associated macrophages (TAMs) toward M1 phenotype while showing no impact on normal T-, B-, and other immune cells. Conclusions: Collectively, our findings indicate that the LIF/LIFR autocrine loop plays an essential role in OCa progression and that EC359 could be a promising therapeutic agent for OCa. Citation Format: Behnam Ebrahimi, Suryavathi Viswanadhapalli, Uday P. Pratap, Rahul Gopalam, Xue Yang, Prabhakar P. Venkata, Viktor Drel, Bindu Santhamma, Swapna Konda, Xiaonan Li, Alondra L. Rodriguez Sanchez, Hui Yan, Gangadhara R. Sareddy, Zhenming Xu, Brij B. Singh, Philip T. Valente, Yidong Chen, Zhao Lai, Manjeet Rao, Edward R. Kost, Tyler Curiel, Rajeshwar R. Tekmal, Hareesh B. Nair, Ratna K. Vadlamudi. Pharmacological inhibition of the LIF-LIFR autocrine loop reveals vulnerability of ovarian cancer to ferroptosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5998.

Pengaruh Massa Weight Roller terhadap Keausan Material dan Akselerasi Motor N-Max

The Nmax motorbike roller basically consists of 6 units which function to maintain and regulate motor acceleration found in the Roller Housing in the Continuously Variable Transmission (CVT) section which allows friction and wear to occur on the roller material. Acceleration is the level of acceleration that occurs in an object at a certain time, while material wear is the mechanical property of an object to accept loads, power and energy without causing damage. This research was carried out using a Tribometer test tool and logger pro analysis software. The results obtained show that material wear increases with increasing RPM. At 500 rpm, standard roller wear ranges from 0.107% to 0.346%, while at 1400 rpm, wear increases to range from 0.323% to 0.938%. The acceleration test results show that the standard roller with a mass of 13 grams has the lowest acceleration performance, with the lowest value occurring in test II at 1.26 m/s². Meanwhile, the 9 gram roller has the highest average acceleration of 4.82 m/s².

Bridging the clinical-research gap: Harnessing an electronic data capture, integration, and visualization platform to systematically assess prospective patient-reported outcomes in mitochondrial medicine

PurposeOptimizing individualized clinical care in heterogeneous rare disorders, such as primary mitochondrial disease (PMD), will require gaining more comprehensive and objective understanding of the patient experience by longitudinally tracking quantifiable patient-specific outcomes and integrating subjective data with clinical data to monitor disease progression and targeted therapeutic effects. MethodsElectronic surveys of patient (and caregiver) reported outcome (PRO) measures were administered in REDCap within clinical domains commonly impaired in patients with PMD in the context of their ongoing routine care, including quality of life, fatigue, and functional performance. Descriptive statistics, group comparisons, and inter-measure correlations were used to evaluate system feasibility, utility of PRO results, and consistency across outcome measure domains. Real-time tracking and visualization of longitudinal individual-level and cohort-level data were facilitated by a customized data integration and visualization system, MMFP-Tableau. ResultsAn efficient PRO electronic capture and analysis system was successfully implemented within a clinically and genetically heterogeneous rare disease clinical population spanning all ages. Preliminary data analyses demonstrated the flexibility of this approach for a range of PROs, as well as the value of selected PRO scales to objectively capture qualitative functional impairment in four key clinical domains. High inter-measure reliability and correlation were observed. Between-group analyses revealed that adults with PMD reported significantly worse quality of life and greater fatigue than did affected children, while PMD patients with nuclear gene disorders reported lower functioning relative to those with an mtDNA gene disorder in several clinical domains. ConclusionIncorporation of routine electronic data collection, integration, visualization, and analysis of relevant PROs for rare disease patients seen in the clinical setting was demonstrated to be feasible, providing prospective and quantitative data on key clinical domains relevant to the patient experience. Further work is needed to validate specific PROs in diverse PMD patients and cohorts, and to formally evaluate the clinical impact and utility of harnessing integrated data systems to objectively track and integrate quantifiable PROs in the context of rare disease patient clinical care.

Grillage Analysis of Prestressed Concrete Girder Deck Superstructure for NH-16 Bridge Flyover; Part-1

Abstract: The bridge superstructure flyover built on National Highway route 16 (NH-16) near Benz circle in Vijayawada to act as grade separated highway for vehicles to cross over National Highway route 65 (NH-65) is made of precast and post-tensioned concrete girders. This article is the first part of the two phase study that focuses on the structural analyses of concrete bridge girders. The bridge girders are analyzed for vehicular loads considered as per Indian Roads Congress Specifications. The IRC Class of loads of 70R and Class A and their wheel load configurations are discussed. The bridge girders along with deck are modeled as grillage girder-slab members in Staad Pro analysis software. The bending moments and shear forces are computed for each of the IRC vehicular load configurations and the envelope forces for governing load configuration are presented for each of the girders. Finally, the article summarizes the maximum flexural and shear demands on the bridge girders. The pros and cons of grillage analysis modeling for prestressed girders and the alternate superior options for precise but quick modeling are also recommended.

Analysis of pros and cons of quantitive easing

From the financial crisis in 2008 to the impact of the COVID-19 in recent years, quantitative easing, an unconventional economic policy, has become a means for many large economies to alleviate economic recession and stimulate economic growth. QE can not only help overcome the downward pressure of the economy, but also maximize the avoidance of unemployment, inflation and other issues caused by more severe economic crises. This paper focuses on the practical process and effects of the four QEs in the United States, analyzes the pros and cons of QE, and pays attention to the consequences of the current interest rate hike in the United States. It is concluded that QE has a significant effect on stimulating economic growth and boosting the stock market in the short term, but may lead to a long-term slowdown in economic growth and inflation. This analysis enriches the explanation of the QE operation process and is conducive to the more appropriate application of this policy.

QUANTITATIVE ANALYSIS OF DEXTROMETHORPHAN-HBr, GUAIFENESIN, AND DIPHENHYDRAMINE-HCl IN TABLET DOSAGE FORM BY RATIO DIFFERENCE SPECTROPHOTOMETRY METHOD

Objective: This study aims to develop a spectrophotometric method with the Ratio Difference method using ethanol pro analysis solvent to obtain the results of Dextromethorphan Hydrobromide (HBr) levels of Guaifenesin and Diphenhydramine Hydrochloride (HCl) in tablets. Methods: The Ratio Difference Sprctrophotography method involves dividing the mixture spectrum by the standard spectrum of each analyte and reducing the ratio to obtain a spectrum that does not depend on the concentration of the analyte used as a divider and can directly determine the levels of Dextromethorphan HBr, Guaifenesin, and Diphenhydramine HCl in the range 200-400 nm wavelength using experimentally calculated absorbance. Results: The maximum wavelengths of Dextromethorphan HBr, Guaifenesin, and Diphenhydramine HCl were obtained at 278 nm, 273 nm, and 252 nm, respectively. The average % accuracy obtained was 99.60% for Dextromethorphan HBr, 98.98% for Guaifenesin, and 100.32% for Diphenhydramine HCl in dosage forms. Conclusion: This method was successfully applied with simultaneous estimation to determine Dextromethorphan HBr, Guaifenesin, and Diphenhydramine HCl levels in tablet preparations and met the validation requirements.

QUANTITATIVE ANALYSIS OF DEXTROMETHORPHAN-HBr, GUAIFENESIN AND DIPHENHYDRAMINE-HCl IN TABLET DOSAGE FORM BY SUCCESSIVE RATIO DERIVATIVE SPECTRA METHOD

Objective: This study aims to develop a spectrophotometric method with the successive ratio derivative spectra method using ethanol pro analysis solvent to obtain the results of the levels of Dextromethorphan (DEX) Hydrobromide (HBr), Guaifenesin (GUA) and, Diphenhydramine (DIF) Hydrochloric Acid (HCl) in tablet dosage form. Methods: This method is straightforward to determine the levels of DEX HBr, GUA, and DIF HCl in the wavelength range of 200-400 nm using absorption, which is calculated experimentally using spectrophotometry UV-Vis. Results: The maximum wavelengths of DEX HBr, GUA and DIF HCl were obtained at 278 nm, 273 nm, and 252 nm, respectively. The average % accuracy was obtained at 99.50% for DEX HBr, 99.91% for GUA, and 99.98% for DIF HCl in dosage forms. Conclusion: This method was successfully applied to determine the levels of DEX HBr, GUA and DIF HCl in tablet preparations and met the validation requirements.

Cardiac Bioengineering Analysis of Electrophysiological Signals Driven by Deep Learning

Advanced methods are needed for fast and reliable detection of cardiovascular illnesses, which continue to be a primary source of morbidity and death globally. Using deep learning, this research presents a new method, dubbed DeepLearnCardia, for analyzing electrophysiological data in cardiac bioengineering. To improve the analysis of cardiac electrophysiological data and provide a complete solution for arrhythmia prediction, the proposed technique combines wavelet transformations, attention processes, and multimodal fusion. Data preprocessing, feature extraction using wavelets, temporal encoding using Long Short-Term Memory (LSTM) networks, an attention mechanism, multimodal fusion, and spatial analysis with Convolutional Neural Networks (CNNs) are all components of this technique. In order to train the model, we use an adaptive optimizer and binary cross entropy as the loss function. Key performance metrics such as accuracy, sensitivity, specificity, precision, F1 score, and area under the ROC curve (AUC-ROC) are used to compare the proposed method's performance to that of six established methods: Signal Pro Analyzer, Electro Cardio Suite, Bio Signal Master, Cardio Wave Analyzer, EKG Precision Pro, and Heart Stat Analyzer. The results suggest that the proposed technique is superior to the state-of-the-art in cardiac signal analysis across all criteria. The suggested technique not only requires less resources, but also trains and infers more quickly and uses less of them.