35 research outputs found
Safety box delivery / Muhammad Haziq Azman ... [et al.]
No full textSafety Delivery Box sounds interesting which we want to make it as a safe place for delivered item. The main goal of this project is to make a safe place for delivered item while someone is not at home or unavailable when the item is delivered. After we obtained data from a survey, we provided to our respondents through Google Forms, we built a safety delivery box based on their preferences. The respondents complained from the survey that thei
Coffee body scrub / Haziq Hamdee Azman … [et al.]
No full textBased on the recent interview, it was found that almost 79% of respondents face a serious skin problem including eczema, dry skin and dullness. One of the main reasons the disease occurred is because of the hot weather in Malaysia and lack of water consumption. Moreover, customer also found to have a less confidence to use body scrubs due to the sensitiveness of their skin. This problem not only encounter by the students, workers and housewives but also involving everyone in society. To shed light on this particular issue, Haffi Beauty and Health's come out with an idea to create one product name arabica coffee body scrub. This innovate product is a great as this type of coffee is rarely used to make a scrub and we grow the seed organically. On the similar vein, the creation of this product is truly supporting the SDG 12 which related with responsible and consumption. Not only that, the scrub also halal and get certified by JAKIM. In sum, this arabica coffee body scrub approximately we able to solve the majority of people's skin problem, satisfy customers need and preferences as well as generate a profit to company and nation
Ethic In Student Life : Social Media Ethics / Muhammad Haziq Ammar Imran ...[et al.]
No full textAccording to Stanford Encyclopedia of Philosophy by Social Networking and Ethics, most people live by their own morals and ethics and we all have our own belief as to what is right and wrong in life. Social networking is where some may feel that they are hiding behind a computer or phone screen and typing the words instead of speaking to the person personally, it really doesn't count as unethical behavior. Applications are growing day by day, almost every years there always have the new applications that we can apply on our daily basic. As technology becomes modem, people start to realize the different things we can do when incorporating social media into education, the connection and expansion of materials that we gain from it. We are taught as we grow up through face to face interactions, experiences and lessons where what we should and should not do. In this report, those will be shown about the social media ethics problems that most students of Uitm Pasir Gudang are less practices it on their online routine
Expression of microrna-101 in formalin-fixed paraffin- embedded samples of nasopharyngeal carcinoma
No full textNasopharyngeal carcinoma (NPC) is among the five most common malignancies in Malaysia. Most NPC patients are diagnosed at late stages of the disease which complicates the clinical management of the patients. Identification of new reliable biomarker is crucial to improve early diagnosis of NPC and increase the survival rate of patients. Recent study found that microRNAs (miRNAs), particularly miR-101, were involved in the tumorigenesis of head and neck cancer where NPC samples were included in the study. This study was conducted to observe the expression of miR-101 in NPC tumour tissues and compare its consistency with previous study as a step towards finding the new biomarker for NPC. The biopsy samples were obtained from hospitals and verified histologically using hematoxylin and eosin method for tissue classification. Total RNA was extracted from NPC tissues and normal nasopharyngeal epithelium tissues. The expression of miR-101 in NPC was quantified using quantitative polymerase chain reaction (qPCR) method. The differential expression of miR-101 in NPC as compared to normal nasopharyngeal epithelium tissues was analysed using 2-??CT calculation. The significance of the differential expression was analysed using SPSS software. Five samples have been verified as NPC and three samples were normal nasopharyngeal epithelium. The differential expression calculation found that miR-101 was downregulated in NPC as compared to normal nasopharyngeal epithelium tissues, which consistent with previous study. However, the differential expression was not significant. Therefore, our finding provides a preliminary result towards embarkment of a larger and comprehensive study
Poison wheel pump sprayer / Nur Azareena Azman ... [et al.]
No full textIn Malaysia, Farmers are the backbone that contributes in increasing the economy of this country. However, farmer had given less and less priority in inventing a model that would make their work easier and good for their health. For example, for the backpack poison sprayer, the farmer had to carry it everywhere that he needs to use the poison for his plantation and also, they need to pumped it manually and repeatedly to pump out the poison. This kind of thing is not good for the farmer’s health as they tend to get backpain and easily gets tired. In our project, we innovate something new based on the old pump which we called it as PWP Sprayer. PWP Sprayer stands for Poison Wheel Pump Sprayer. PWP Sprayer had been innovate specially for farmers to prevent them from getting backpain and also to reduce their work to poison. PWP Sprayer is a manual machine that do not need motor or another electrical component to generate it. It is 100% manual as it generates the power to pump out the poison through the rotation of the front wheel. The torque of the wheel affects the power to pump out the poison. Plus, the power to pump out the poison affect the amount of poison sprayed out. PWP Sprayer works when we pushed it forward to the direction that we needed to sprayed. The farmer now can simply push the machine and this can save a lot of work and time. The tank is located at the middle of the machine. Moreover, the farmer cannot have to carry the tank at their back anymore and this kind of thing can prevent them from getting back pain
Nouvel outil de localisation pré-interventionnelle du flutter auriculaire pour l'amélioration de l'efficacité de l'ablation radiofréquence
No full textPrevalence of atrial flutter (AFL) is predicted to increase in the coming years. AFL involves a rapid and regular activation of the atrium due to defects in the activation propagation, and predisposes to life-threatening conditions. Radiofrequency catheter ablation is a well-known AFL treatment option for its efficiency. Yet procedural efficacy is rather poor due to poor amounts and quality of information on right or left AFL localization available before invasive procedure. This memoir shows how to exploit the variability of AFL on the electrocardiogram (ECG) to localize AFL circuits non-invasively. Two original complimentary methodologies were developed based on (1) beat-to-beat serial vectorcardiographic (VCG) loop analysis, and (2) recurrence quantification analysis. For this to work, novel processing methods were developed for (a) flutter wave detection using likelihood-ratio tests, (b) correction of T wave overlaps using polynomial splines and respiratory motion using improved classical estimators, and (c) transformation into VCG using an optimized transform. Machine learning techniques such as feature selection and an original cross-validation approach were employed to induce practical linear binary classifiers with good localization performance without classifier overfitting. Furthermore, it was shown that variability of flutter waves are likely related to the circuit and not to sources of distortion such as respiratory motion or T wave. Relevant features allowed insight into the pathology, and showed that right AFL was much slower and more variable than left AFL.La prévalence du flutter auriculaire (AFL) va croître dans le futur. L'AFL consiste en une activation rapide et régulaire de l'oreillette à cause des défaits de conduction, et il amène à d'autres conditions dangereuses. L'ablation radiofréquence est un traitement connu pour l'AFL aujourd'hui grâce à son efficience. Cependant, son efficacité procédurale est assez pauvre à cause de la pauvreté et la qualité limitée de la connaissance sur l'AFL avant toutes procédures invasives. Ce mémoire montrera comment exploiter la variabilité dans l'électrocardiogramme (ECG) pour obtenir la localisation droite ou gauche de l'AFL de façon non-invasive. Deux approches originales ont été développées, basées sur l'analyse (1) cycle-à-cycle des boucles vectorcardiographique (VCG), et (2) de récurrence quantitative. Pour cela, des nouvelles méthodes de traitement ont été développées pour (a) la détection des ondes flutter par test du rapport de vraisemblance, (b) la correction de la superposition des ondes T par approximation polynômiale, et du mouvement respiratoire par une méthode classique améliorée, et (c) la transformation en VCG par une transformée optimisée. Des méthodes d'apprentissage comme la sélection des variables pertinentes ainsi qu'une approche originale de validation croisée sont utilisées pour obtenir un classifieur linéaire, pratique et performant sans surapprentissage. Il a été montré que la variabilité du flutter est associée au circuit et pas aux sources de bruits comme le mouvement respiratoire ou l'onde T. Les variables pertinentes montrent que le circuit à droite est plus lent et plus variable que celui à gauche
Novel pre-interventional atrial flutter localization tool for the improvement of radiofrequency ablation efficacy
No full textLa prévalence du flutter auriculaire (AFL) va croître dans le futur. L'AFL consiste en une activation rapide et régulaire de l'oreillette à cause des défaits de conduction, et il amène à d'autres conditions dangereuses. L'ablation radiofréquence est un traitement connu pour l'AFL aujourd'hui grâce à son efficience. Cependant, son efficacité procédurale est assez pauvre à cause de la pauvreté et la qualité limitée de la connaissance sur l'AFL avant toutes procédures invasives. Ce mémoire montrera comment exploiter la variabilité dans l'électrocardiogramme (ECG) pour obtenir la localisation droite ou gauche de l'AFL de façon non-invasive. Deux approches originales ont été développées, basées sur l'analyse (1) cycle-à-cycle des boucles vectorcardiographique (VCG), et (2) de récurrence quantitative. Pour cela, des nouvelles méthodes de traitement ont été développées pour (a) la détection des ondes flutter par test du rapport de vraisemblance, (b) la correction de la superposition des ondes T par approximation polynômiale, et du mouvement respiratoire par une méthode classique améliorée, et (c) la transformation en VCG par une transformée optimisée. Des méthodes d'apprentissage comme la sélection des variables pertinentes ainsi qu'une approche originale de validation croisée sont utilisées pour obtenir un classifieur linéaire, pratique et performant sans surapprentissage. Il a été montré que la variabilité du flutter est associée au circuit et pas aux sources de bruits comme le mouvement respiratoire ou l'onde T. Les variables pertinentes montrent que le circuit à droite est plus lent et plus variable que celui à gauche.Prevalence of atrial flutter (AFL) is predicted to increase in the coming years. AFL involves a rapid and regular activation of the atrium due to defects in the activation propagation, and predisposes to life-threatening conditions. Radiofrequency catheter ablation is a well-known AFL treatment option for its efficiency. Yet procedural efficacy is rather poor due to poor amounts and quality of information on right or left AFL localization available before invasive procedure. This memoir shows how to exploit the variability of AFL on the electrocardiogram (ECG) to localize AFL circuits non-invasively. Two original complimentary methodologies were developed based on (1) beat-to-beat serial vectorcardiographic (VCG) loop analysis, and (2) recurrence quantification analysis. For this to work, novel processing methods were developed for (a) flutter wave detection using likelihood-ratio tests, (b) correction of T wave overlaps using polynomial splines and respiratory motion using improved classical estimators, and (c) transformation into VCG using an optimized transform. Machine learning techniques such as feature selection and an original cross-validation approach were employed to induce practical linear binary classifiers with good localization performance without classifier overfitting. Furthermore, it was shown that variability of flutter waves are likely related to the circuit and not to sources of distortion such as respiratory motion or T wave. Relevant features allowed insight into the pathology, and showed that right AFL was much slower and more variable than left AFL
Estimation and Removal of T Wave Component in Atrial Flutter ECG to Aid Non-Invasive Localization of Ectopic Source
No full textInternational audienceThe use of the ECG as a diagnostic tool for analyzing supraventricular arrhythmia avoids invasive procedures prior to clinical intervention. Analysis of atrial activity may indicate properties of the underlying arrhythmia. In atrial flutter, there is a high synchroneity between atrial and ventricular activity. Statistical and classical separation methods are unlikely to work due to this dependency, impeding the extraction of the atrial activity. We propose a method using least square polynomial estimation to model the T wave component and subtract it from overlapped f-waves. After pre-processing, an initial f-wave was carefully segmented, representing pure atrial activity. Subsequent f-waves were detected and corrected by subtracting the T wave, modeled as a sum of weighted polyno-mials which minimize the least square error. To evaluate the method, VCG loops were obtained using the inverse Dower transform. Loop parameters were obtained from eigenvectors and eigenvalues issued from PCA. Using degree K = 3 polynomials allowed recovery of overlapped f-waves with significant improvement in 3 of 4 parameters (p < 0.05). f-waves overlapped by T waves can thus successfully be recovered using this method with better performance with the parameters considered
A Constructive Content-Based Filtering Recommendation Application: Optimizing Coffee Selection Based on User Preferences
No full textCoffee, a typical beverage consumed worldwide, offers various options, from bean origin to brewing methods. However, this abundance of choice often leads consumers to experience decision-making challenges, a phenomenon known as choice overload. Therefore, this study focuses on developing and implementing a recommendation application to help users make informed coffee choices based on their preferences. The study employs a system development life cycle (SDLC) approach and utilizes content-based filtering techniques to achieve the purpose. Data for this study was gathered from three prominent coffee shops: Zus Coffee Shop, Richiamo Coffee Shop and Gigi Coffee Shop, providing a diverse dataset for analysis. The study employs usability testing to evaluate the usefulness, perspicuity, dependability, and attractiveness of the developed recommendation application. Through rigorous testing, we assess user acceptance and overall system performance. The results indicate a significant reduction in choice overload and an enhanced user experience, validating the competence of the recommendation application. The study implies that by using a content-based filtering recommendation system, coffee drinkers can enjoy more personalized suggestions tailored to their taste preferences, such as roast level, milk type, etc. For users who may feel overwhelmed by the variety of options at a coffee shop, this system simplifies the decision process by recommending coffee types that match their stated preferences. By exploring avenues such as collaborative filtering, sentiment analysis, and incorporating additional user feedback, we aim to further enhance the accuracy and personalization of coffee recommendations, ultimately improving the overall coffee selection experience for consumers
Machine Learning Approach and Waves Synchronization Improvement for the Localization of Atrial Flutter Circuit Based on the 12-Leads ECG
No full text
