Manual Tools Research Articles

Real-Time Deployment of Ultrasound Image Interpretation AI Models for Emergency Medicine Triage Using a Swine Model

Ultrasound imaging is commonly used for medical triage in both civilian and military emergency medicine sectors. One specific application is the eFAST, or the extended focused assessment with sonography in trauma exam, where pneumothorax, hemothorax, or abdominal hemorrhage injuries are identified. However, the diagnostic accuracy of an eFAST exam depends on obtaining proper scans and making quick interpretation decisions to evacuate casualties or administer necessary interventions. To improve ultrasound interpretation, we developed AI models to identify key anatomical structures at eFAST scan sites, simplifying image acquisition by assisting with proper probe placement. These models plus image interpretation diagnostic models were paired with two real-time eFAST implementations. The first implementation was a manual AI-driven ultrasound eFAST tool that used guidance models to select correct frames prior to making any diagnostic predictions. The second implementation was a robotic imaging platform capable of providing semi-autonomous image acquisition combined with diagnostic image interpretation. We highlight the use of both real-time approaches in a swine injury model and compare their performance of this emergency medicine application. In conclusion, AI can be deployed in real time to provide rapid triage decisions, lowering the skill threshold for ultrasound imaging at or near the point of injury.

MCHelper automatically curates transposable element libraries across eukaryotic species.

The number of species with high-quality genome sequences continues to increase, in part due to the scaling up of multiple large-scale biodiversity sequencing projects. While the need to annotate genic sequences in these genomes is widely acknowledged, the parallel need to annotate transposable element (TE) sequences that have been shown to alter genome architecture, rewire gene regulatory networks, and contribute to the evolution of host traits is becoming ever more evident. However, accurate genome-wide annotation of TE sequences is still technically challenging. Several de novo TE identification tools are now available, but manual curation of the libraries produced by these tools is needed to generate high-quality genome annotations. Manual curation is time-consuming, and thus impractical for large-scale genomic studies, and lacks reproducibility. In this work, we present the Manual Curator Helper tool MCHelper, which automates the TE library curation process. By leveraging MCHelper's fully automated mode with the outputs from three de novo TE identification tools, RepeatModeler2, EDTA, and REPET, in the fruit fly, rice, hooded crow, zebrafish, maize, and human, we show a substantial improvement in the quality of the TE libraries and genome annotations. MCHelper libraries are less redundant, with up to 65% reduction in the number of consensus sequences, have up to 11.4% fewer false positive sequences, and up to ∼48% fewer "unclassified/unknown" TE consensus sequences. Genome-wide TE annotations are also improved, including larger unfragmented insertions. Moreover, MCHelper is an easy-to-install and easy-to-use tool.

Diversification of Waste Ship Mooring Rope Recycling Products as an Effort to Increase the Economic Welfare of the Polewali Mandar "Samboyang" Rope Processing Business Group

The Samboyang Rope Processing Business Group in Babarura Village is the main partner in this activity. Carrying out pelpangang activities in the traditional way using a manual rolling tool. This has implications for the quality of the rope, the time it takes to make anchor ropes. Apart from that, Tinambung sub-district is the only business The largest anchor rope spinner in West Sulawesi. Apart from that, there has been no innovation in diversifying the forms of products produced from processing anchor ship mooring ropes, until now they have only been used as fishing aids or ship ties, and in the economic marketing and digital bookkeeping sectors. needs to be implemented. Then through a community service program carried out according to the needs of the Samboyang Rope Processing Business Group to increase group productivity. In addition, product diversification from ship mooring rope processing provides new opportunities for the group to increase the added value of their products, marketing training and digital bookkeeping, opening up opportunities for the Samboyang rope processing business group to be competitive in a wider market.

EVALUASI ALAT PENGADUK DODOL NANGKA SKALA RUMAH TANGGA BERDASARKAN PRINSIP ERGO-EKONOMI

The use of manual tools in the process of stirring jackfruit dodol tends to have an impact on high workload, fatigue, and complaints from workers. The stirring process requires a lot of energy to get perfectly cooked dodol. In addition, manual tools take a long time, and the product needs to be evenly cooked, leaving a crust on the dodol stirring pan. To overcome this, an automatic stirring tool is needed at an affordable cost. Workers' participation as users is required so that the tools used match workers' wishes. Ergo-economic applications are necessary to meet workers' desires: comfort and affordable costs. From the evaluation carried out, it was found that the automatic stirring tool only requires a little energy because a machine does the stirring. This impacts the workload, fatigue, and complaints automatically decreasing when compared to using a manual stirring tool. Economically, the use of an automatic stirring tool provides benefits for dodol entrepreneurs after the 2.4th month. This is based on the investment value of the automatic stirring machine. The ROI (Return on Investment) level is 170.216%. This stirring machine is more effective because the stirring results are more even and do not cause crust on the container. Worker performance can be improved by applying ergo-economics based on preventive measures against behaviors that can potentially cause injury in the workplace. Workers are the main asset or economic resource in the industry, and ergonomics and economics are interrelated with ergonomics, which can create better working conditions, producing a better economy.

Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization.

Materials synthesis optimization is constrained by serial feedback processes that rely on manual tools and intuition across multiple siloed modes of characterization. We automate and generalize feature extraction of reflection high-energy electron diffraction (RHEED) data with machine learning to establish quantitatively predictive relationships in small sets (∼10) of expert-labeled data, saving significant time on subsequently grown samples. These predictive relationships are evaluated in a representative material system (W1-xVxSe2 on c-plane sapphire (0001)) with two aims: 1) predicting grain alignment of the deposited film using pregrowth substrate data and 2) estimating vanadium dopant concentration using in situ RHEED as a proxy for ex situ methods (e.g., X-ray photoelectron spectroscopy). Both tasks are accomplished using the same materials-agnostic features, avoiding specific system retraining and leading to a potential 80% time saving over a 100-sample synthesis campaign. These predictions provide guidance to avoid doomed trials, reduce follow-on characterization, and improve control resolution for materials synthesis.

Comparative analysis of rotary versus manual instrumentation in paediatric pulpectomy procedures: A systematic review and meta-analysis.

The use of rotary file in permanent teeth is well-documented, but there is limited scientific evidence for its effectiveness in primary teeth. A meta-analysis was conducted to compare rotary and manual tools in primary tooth pulpectomy procedures. Ten databases were searched from 2000 to 2024 to find relevant literature. The Cochrane Risk of Bias (ROB) tool assessed bias in randomised control trials. STATA software version 18 conducted the meta-analysis. A random-effects model was used for instrumentation time and obturation quality evaluation while sensitivity analysis followed high heterogeneity detection. Twenty RCTs were included after screening 723 studies. Publication bias and heterogeneity were found for instrumentation time, leading to removal of nine studies. Significant difference in mean instrumentation time (1.42) was noted. Obturation quality assessment showed an odds ratio of 1.82. Use of rotary instrumentation yielded superior outcomes compared with manual instrumentation for pulpectomy for primary teeth.

3D morphometry of Martian craters from HRSC DEMs using a multi-scale semantic segmentation network and morphological analysis

The morphology of impact craters reveals the structure and composition of the Martian surface, especially the subsurface conditions and Martian geological history, which have increasing importance in Mars exploration missions. This work presents a 3D morphometric method for detecting and delineating Martian craters, and a 3D morphological analysis was conducted. Specifically, this work first focused on the segmentation of Martian craters. Based on the segmentation results, clustering of crater instances was then carried out. Finally, with the individual craters that were extracted, a morphological analysis involving the measurements of their diameter, depth, area, RMS height, rim height, circularity, and the statistics thereof was performed. Unlike previous studies, which have mainly used optical images and object detection approaches, this work regards crater extraction as a semantic segmentation task instead of an object detection task to better delineate the precise shape and boundary information. Digital elevation model (DEM) was utilized as primary data to directly obtain 3D information, which was converted into 3D point cloud format and fed to a multi-scale semantic segmentation network. The semantic segmentation results achieved an overall accuracy of 0.932 and mIOU of 0.871 on the test data. We automatically counted 63 craters in Noachis Terra and 40 craters in Terra Cimmeria. The 3D morphological measurements showed that 66% of the impact craters in the first region were larger than 10 km in diameter, while 50% of the impact craters in the second region were larger than 10 km. In both areas, craters could reach a maximum depth of 2000 m. With the proposed method, we can automatically conduct 3D morphological measurements of Martian craters with high efficiency that is improved by 15 times compared with that of manual crater analysis tools. The achieved 3D morphometric results can provide a reference and support for future research on Martian landforms.

A digital dashboard for reporting mental, neurological and substance use disorders in Nairobi, Kenya: Implementing an open source data technology for improving data capture.

The availability of quality and timely data for routine monitoring of mental, neurological and substance use (MNS) disorders is a challenge, particularly in Africa. We assessed the feasibility of using an open-source data science technology (R Shiny) to improve health data reporting in Nairobi City County, Kenya. Based on a previously used manual tool, in June 2022, we developed a digital online data capture and reporting tool using the open-source Kobo toolbox. Primary mental health care providers (nurses and physicians) working in primary healthcare facilities in Nairobi were trained to use the tool to report cases of MNS disorders diagnosed in their facilities in real-time. The digital tool covered MNS disorders listed in the World Health Organization's (WHO) Mental Health Gap Action Program Intervention Guide (mhGAP-IG). In the digital system, data were disaggregated as new or repeat visits. We linked the data to a live dynamic reproducible dashboard created using R Shiny, summarising the data in tables and figures. Between January and August 2023, 9064 cases of MNS disorders (4454 newly diagnosed, 4591 revisits and 19 referrals) were reported using the digital system compared to 5321 using the manual system in a similar period in 2022. Reporting in the digital system was real-time compared to the manual system, where reports were aggregated and submitted monthly. The system improved data quality by providing timely and complete reports. Open-source applications to report health data is feasible and acceptable to primary health care providers. The technology improved real-time data capture, reporting, and monitoring, providing invaluable information on the burden of MNS disorders and which services can be planned and used for advocacy. The fast and efficient system can be scaled up and integrated with national and sub-national health information systems to reduce manual data reporting and decrease the likelihood of errors and inconsistencies.

Inter-rater and Intra-rater Reliability of Het’s MMT in Pelvic Floor Assessment

Abstract Objective: Pelvic floor dysfunctions (pfds) such as urinary incontinence, pelvic organ prolapse, and vaginismus are very common and are affecting the quality of life of the female suffering through it. The pelvic floor muscles can be in spasm, thus resulting in the inability to relax or the pelvic floor muscles can be extremely weak or loose, resulting in the inability to contract strongly and completely. The spasmodic pelvic floor can result in vaginismus, dyspareunia, chronic pelvic pain, constipation, etc., Moreover, a weak pelvic floor can lead to issues such as urinary incontinence, pelvic organ prolapse, and sexual dysfunction. There is a scarcity of a valid and reliable scale that assesses both the components of pfd. Subjects and Methods: The present study was conducted on 1349 participants which were divided into three groups on the basis of their symptoms. Group A – No symptoms (n = 439), Group B – Hypotonus pfd (n = 658), and Group C – Hypertonus pfd (n = 252). Examination: Vaginal examination to assess the pelvic floor muscles relaxation and contraction was done by Het’s Manual Muscle Testing (MMT). Inter rater reliability was assessed by comparing the data of two independent examiners on the same day. The intra rater reliability was assessed by comparing the data of test and retest at an interval of 1 week. Results: The intra rater reliability at 95% confidence interval (CI) was 0.92 – Normal pelvic floor function, 0.96 – Hypotonus pfd, and 0.97 – Hypertonus pfd. Moreover, inter rater reliability at 95% CI was 0.93 – normal pelvic floor function, 0.95 for hypotonus pfd, and 0.98 – hypertonus pfd. Conclusions: This study concludes Het’s MMT is a highly reliable manual muscle testing tool to assess the pelvic floor muscles.

Potential use of IoT Distance Measurement Tool in Boule Sports

In Petanque, each player aims to throw the boule closer to the jack. The closest boule to the jack among players will score the point. Currently, the distance of the boule to the jack is still measured using manual measurement tools such as measuring tape, string, and calipers. The manual measurement method is considered time-consuming and prone to inconsistent reading, which the ordinary referees and players conduct. A steady hand is required to hold the tape at two ends while squatting or kneeling. The technique of reading the measurement is also important to determine the accuracy of the length. This project aims to design and develop a prototype device that can measure the distance between jack and boule using a microcontroller and ultrasonic sensor technology. The device is expected to provide an instant measurement of the distance between the jack and the boule. The measurement data can be displayed on the mobile device to ease the user to view the result. This prototype device also counts the score points and determines the winner.

Computational identification and characterization of chitinase 1 and chitinase 2 from neotropical isolates of Beauveria bassiana.

The fungus Beauveria bassiana is widely used for agronomical applications, mainly in biological control. B. bassiana uses chitinase enzymes to degrade chitin, a major chemical component found in insect exoskeletons and fungal cell walls. However, until recently, genomic information on neotropical isolates, as well as their metabolic and biotechnological potential, has been limited. Eight complete B. bassiana genomes of Neotropical origin and three references were studied to identify chitinase genes and its corresponding proteins, which were curated and characterized using manual curation and computational tools. We conducted a computational study to highlight functional differences and similarities for chitinase proteins in these Neotropical isolates. Eleven chitinase 1 genes were identified, categorized as chitinase 1.1 and chitinase 1.2. Five chitinase 2 genes were identified but presented a higher sequence conservation across all sequences. Interestingly, physicochemical parameters were more similar between chitinase 1.1 and chitinase 2 than between chitinase 1.1 and 1.2. Chitinases 1 and 2 demonstrated variations, especially within chitinase 1, which presented a potential paralog. These differences were observed in their physical parameters. Additionally, CHIT2 completely lacks a signal peptide. This implies that CHIT1 might be associated with infection processes, while CHIT2 could be involved in morphogenesis and cellular growth. Therefore, our work highlights the importance of computational studies on local isolates, providing valuable resources for further experimental validation. Intrinsic changes within local species can significantly impact our understanding of complex pathogen-host interactions and offer practical applications, such as biological control.

TCT-332 Clinical and Financial Impact of an Automated vs Manual Personal Contrast Calculator Tool to Prevent Contrast Nephropathy After Percutaneous Coronary Intervention

TCT-332 Clinical and Financial Impact of an Automated vs Manual Personal Contrast Calculator Tool to Prevent Contrast Nephropathy After Percutaneous Coronary Intervention

Assessing Mobile Network Fraud Threats and Prevention Strategies in Kenya

Background: Mobile network technology has exponentially advanced in the last decade and with this development, fraud activities have risen in equal measure resulting in companies and customers losing huge amounts of money as a result of, especially in developing economies that lag in the regulatory frameworks when it comes to Mobile network fraud. The purpose of the study was to explore Mobile network fraud in Kenya identifying the most common types of fraud, ways which service providers and regulators are employing to prevent or reduce fraud, methods currently used to detect fraud, and gaps thereof. Finally, the effect of concept drift in the automated fraud detection process. Method: A qualitative research method was adopted for the study and using a semi-structured question guide, four focus group discussions composed of 23 participants were conducted. The criteria used for selecting and placing participants into focus groups considered the following: The expert area of the participant, years of experience in the fraud ecosystem of the participant, and the organization to which the participant is attached. The availability and willingness of the participants were also considered in the selection process. The focus group approach was selected as it facilitated balanced discussion amongst all the players in the Kenyan fraud ecosystem, harnessing the power of group dynamics as it involved the regulators and the service providers who were drawn from different organizations. Results: The mobile network fraud ecosystem was stratified into three dimensions namely Fraud prevention which looked at the policies and methods used by both regulators and service providers to reduce fraud, Fraud categorization which aimed at categorizing different types of mobile frauds, and finally the Fraud detection which looked at the current tools being used to detect fraud. From the study, it emerged that although the regulators have provided strict guidelines on the customer onboarding process, not all service providers are currently using biometric approaches while onboarding new customers as this was highlighted as the entry point of most fraud cases. The study established five major types of Mobile network fraud in Kenya: SIM swap, SIM boxing, Wangiri, Commission arbitrage, and Hoax SMS and scams. Most of this fraud is committed using either SMS or voice channels; in some cases, both channels are used. Different matrixes derived from multiple factors are used by service providers while evaluating the criticality of fraud cases though not enforced by the regulators. The study also revealed that most of the fraud detection processes amongst the service providers still use manual tools that constantly require human input. While some of the detection processes are automated, concept drift is a major challenge for automated classification models due to the constant evolution of fraud patterns. Conclusion: The study revealed gaps in Mobile Network fraud prevention processes in Kenya as service providers still use non-biometric customer validation processes that are open to forgery and exploitation. A strict customer onboarding process that is fully automated and integrated should be used to address this gap. In the fraud categorization, there is no clear universal categorization matrix to guide the service providers while assessing the criticality of fraud and in this regard, a qualitative scientific model should be developed and used by all the stakeholders as a reference point. When it comes to fraud detection, concept drift is a major challenge, and service providers in Kenya still rely on manual processes due to the dynamic nature of mobile fraud. This exposes a huge gap in the detection process and there is a need to address this by developing systems and processes that will automatically detect and react to concept drift while automating the detection processes.

Pengembangan Usaha Kelompok IRT Ceriping Singkong di Desa Suro melalui Intervensi TTG Berbasis Digital Economy di Desa Suro, Kecamatan Kalibagor, Banyumas

Mitra is a group of IRT Cassava Chips. According to the results of observations and interviews with the head of the IRT Cassava Chips group, Mrs. Fajar Apriana, said that the cassava chips made by this home business are still not good in appearance or taste, especially since the packaging is still simple. The shape of the cassava chips is not yet homogeneous, they are still big, small and thick and thin because they still use a manual slicing tool. Initially in Suro Village there were around 18 home industries that made cassava chips, but because the products were not selling well on the market, many of them went out of business and turned to farm laborers. The average production of this home industry is around 10 kg/day. They leave them in stalls and some sell them directly to the market. Even though the business has been around for a long time, it has not been able to develop optimally, the cassava chip production activity has not been able to meet all consumer demand. This is because the equipment is still manual, resulting in soreness, fatigue and less ergonomic posture of workers. The aim of this activity is a) to help the Suro Village Cassava Chips Housewife Group get the right and legal capital free from loan sharks b) to create a comfortable environment for workers so that it affects their work productivity and c) helps improve their products, their marketing strategies are appropriate and digitally based, they are also halal certified or PIRT certified. IbM outputs are scientific articles that will be published in National Journals as mandatory outputs, articles published on social media , activity videos and Copyright as additional output.

A process mining model to detect adverse patient safety events: Blood products watch

Introduction Patient safety incidents and adverse events are reported voluntarily by healthcare staff. The Global Trigger Tool, developed by the Institute for Healthcare Improvement, is used to capture unreported events. The objective of the new model is to use process mining in the context of adverse event detection to increase reporting efficiency. Methods In the first phase, the process mining model is used to discover the actual process map by querying inpatient processes using the provided log data. Transfusions of blood or blood products within 24 h after surgery, a subset of The Transfusion of Blood or Use of Blood Products trigger of Institute for Healthcare Improvement (GTT-C1) was deployed as a process pattern within the actual process map. Only detected patients were reviewed in the last phase. Results The model ran on a single hospital data set, which included 2870 patients, 1048 of which included surgeries. The model reduced the analyzed data to 57 patients. The expert group analyzed these 57 patients and defined 12 adverse events. The calculated adverse event ratio was 1.1%, comparable with other manual Global Trigger Tool studies. In addition, the reviewers’ time required decreased by 94.6%, from 138.28 to 7.52 h. Two reviewers validated the model by reviewing a sample of patients. Conclusions Process mining can be used in healthcare institutions to conduct routine surveillance and detect unreported safety events. This allows healthcare providers to allocate financial and human resources to more urgent needs and increase efficiency. Further research is needed to evaluate the model with other triggers.

BuildAMol: a versatile Python toolkit for fragment-based molecular design

In recent years computational methods for molecular modeling have become a prime focus of computational biology and cheminformatics. Many dedicated systems exist for modeling specific classes of molecules such as proteins or small drug-like ligands. These are often heavily tailored toward the automated generation of molecular structures based on some meta-input by the user and are not intended for expert-driven structure assembly. Dedicated manual or semi-automated assembly software tools exist for a variety of molecule classes but are limited in the scope of structures they can produce. In this work we present BuildAMol, a highly flexible and extendable, general-purpose fragment-based molecular assembly toolkit. Written in Python and featuring a well-documented, user-friendly API, BuildAMol empowers researchers with a framework for detailed manual or semi-automated construction of diverse molecular models. Unlike specialized software, BuildAMol caters to a broad range of applications. We demonstrate its versatility across various use cases, encompassing generating metal complexes or the modeling of dendrimers or integrated into a drug discovery pipeline. By providing a robust foundation for expert-driven model building, BuildAMol holds promise as a valuable tool for the continuous integration and advancement of powerful deep learning techniques.Scientific contributionBuildAMol introduces a cutting-edge framework for molecular modeling that seamlessly blends versatility with user-friendly accessibility. This innovative toolkit integrates modeling, modification, optimization, and visualization functions within a unified API, and facilitates collaboration with other cheminformatics libraries. BuildAMol, with its shallow learning curve, serves as a versatile tool for various molecular applications while also laying the groundwork for the development of specialized software tools, contributing to the progress of molecular research and innovation.

Technology in Total Knee Arthroplasty in 2023

Over the past few decades, instrumentation and techniques for total knee arthroplasty have evolved from conventional manual tools to a wide range of technologies, including calibrated guides for accurate bone cuts and alignment, smart tools, dynamic intraoperative sensors for soft tissue balancing, patient-specific guides, computer navigation, and robotics. This review is intended to provide an overview of the latest advancements in total knee arthroplasty technology, address potential challenges and solutions related to the application of these technologies, and explore their limitations.

Virtually Reconstructing Bernhard Heine’s Osteotome

The osteotome was a hand-cranked medical chainsaw designed in 1830 by the German surgeon Bernhard Heine. Before Heine, surgeons used crude, manual tools, such as hammers, chisels, and handsaws. The osteotome was among the first mechanical tools used in orthopedic surgery, and it preceded the later use of the motorized chainsaw for woodcutting. Due to the small number of units manufactured, questions remain about the osteotome’s usage. To facilitate conservation and assist with investigation, Heine’s osteotome was digitally reconstructed. As with other digital reconstruction attempts in cultural heritage, assumptions were made to facilitate reproduction. To highlight the functional similarities and contrasts between early and contemporary tools, its parts were compared with contemporary chainsaws and surgical tools. Contemporary orthopedic surgeons have largely shifted away from medical chainsaws, such as the osteotome, in favor of reciprocating saws. Due to its small size and medical purpose, the osteotome was designed for greater precision than a modern industrial chainsaw. Based on the reproduction and comparative analysis, the device was likely used in a manner more similar to modern medical reciprocating saws than to its direct descendant, the industrial chainsaw. The Heine osteotome mechanized surgery and its descendants are still used in medicine and the industry. The osteotome model enabled an analysis of its function and use.

Optimisation Of Ud Barokah Furniture Business Operations In Kalirejo Village, Sumbermalang District, Situbondo Regency

Every company, be it industrial, trade or service companies, has the same goal, namely to obtain maximum profits. To achieve this goal, companies need to optimize their production results, because with optimal production results they will also obtain maximum profits. The UD Al Barokah Furniture Company processes or produces cupboards, couches, chairs, toilets, etc. By using several stages of the production process, such as felling wood, transporting wood, cutting wood, sawing, and refining wood to produce better and better wood. The research method used is a qualitative approach. Determining the data source uses a purposive sampling technique, while the data collection method uses observation, interviews and documentation methods. The data analysis method uses reduction, presentation and drawing conclusions. The data validity method uses source triangulation. The conclusions of this research are: (1) The way to optimize UD Al Barokah Furniture Business Operations is to increase capital by setting aside a small amount of profits obtained, without borrowing business capital from banks or other financial institutions. (2) Not being able to buy a generator when the electricity goes out, the process of making cupboards, cots, chairs, toilets and so on is not optimal, because some machines still use electricity. (3) When drying in the rainy season for drying wood using a shady place, when the electricity goes out, the process of making cupboards, couches, chairs, toilets and so on uses manual tools, and other supporting factors use raw materials mixed with teak wood and wood. milina

Stress Evaluation Using Finite Elements in a Manual Agricultural Tool

This study addresses the imperative need for efficient hand-held agricultural tools, particularly in challenging contexts like hillside agriculture, by focusing on the redesign and evaluation of a manual tillage tool. The objective is to comprehensively assess the stress and fatigue life of a redesigned tool, considering different manufacturing materials such as steels (AISI/SAE 4140, 4130, 1060), A356 aluminum, and nodular cast irons. Employing finite element method simulations and the Von Mises equation, this research confirms an optimal performance within elastic limits for all materials, mitigating the risks of plastic deformation or breakage during normal operation, with Von Mises stresses ranging from 8.39 to 16.30 MPa. All the tools yielded optimal results, meeting the critical requirements for soil penetration resistance, reporting no fatigue failures, and exhibiting useful life values over 1.75 x 1013 years. In terms of ergonomics, A356 aluminum stands out, as it is less heavy and implies a lower effort by the operator, promoting efficient tillage without compromising comfort. This research provides nuanced insights for the design of agricultural tools, emphasizing the harmonious balance between efficiency, longevity, and operator comfort in sustainable practices.