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Articles 5161 - 5190 of 42783
Full-Text Articles in Entire DC Network
Three Novel Approaches To Deep Space: Interstellar Travel That Transcend The Limitations Imposed By The Rocket Equation, Victor Christianto, Florentin Smarandache
Three Novel Approaches To Deep Space: Interstellar Travel That Transcend The Limitations Imposed By The Rocket Equation, Victor Christianto, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
At the time of writing this abstract, we read about Betelgeuse star has exploded in the last few days. While there are various explanations and interpretations on how that event would have impacted this Earth’s inhabitants, our interpretation asserts that there are several chains of stars that act to lock this Earth to the 3D realm, and the exploded Betelgeuse star can be considered as a signal from heaven that we, all Earth inhabitants, are allowed to be elevated to 5D consciousness and to explore the Deep Space beyond this solar system. Therefore, in the present paper, it is considered …
The Cardinal Of The M-Powerset Of A Set Of N Elements Used In The Superhyperstructures And Neutrosophic Superhyperstructures, Florentin Smarandache
The Cardinal Of The M-Powerset Of A Set Of N Elements Used In The Superhyperstructures And Neutrosophic Superhyperstructures, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper, we find a formula for computing the cardinal of the m-th powerset of a set of n elements, which is needed in the SuperHyperStructures.
A Review At Two Nuclear Reactor Problems In Asia, Victor Christianto, Florentin Smarandache
A Review At Two Nuclear Reactor Problems In Asia, Victor Christianto, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
The development of nuclear power plants (NPP) is often a heated debate, especially in developing countries [1]. In relation to this, it is worth the public's attention that lately, it seems that there have been increasingly frequent press releases from various parties representing the government regarding plans to build the first nuclear fission reactor in Indonesia in the not too distant future. Reportedly there will be a large amount of additional energy supply planned (around 100 GW to be built in Indonesia within the coming decade). For this reason, the authors would like to invite readers to take a moment …
A Right-Brain-Based Epistemology Grounded On Local Wisdom: Intuilytics As A Culturally-Meaningful Alternative In Science, Victor Christianto, Florentin Smarandache
A Right-Brain-Based Epistemology Grounded On Local Wisdom: Intuilytics As A Culturally-Meaningful Alternative In Science, Victor Christianto, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
Epistemology, the study of knowledge, has long grappled with the challenge of determining truth. While the combination of deductive and inductive reasoning has been a cornerstone of scientific inquiry, several limitations emerge in its application to contemporary epistemology. One significant issue lies within the core of falsificationism, a prominent philosophy championed by Karl Popper. Falsificationism posits that a scientific theory can only be proven false, not true. While this approach aims to prevent dogmatic adherence to untested ideas, it can lead to an endless cycle of trial and error. As Popper himself acknowledged, no single experiment can definitively prove a …
Recreational Mathematics: Where Is The Error?, Florentin Smarandache
Recreational Mathematics: Where Is The Error?, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
This short note is a funny problem for the trigonometry students!.
Logical Pluralism And Neutrosophy: Reflections On The Nature Of Truth, Florentin Smarandache
Logical Pluralism And Neutrosophy: Reflections On The Nature Of Truth, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
The article explores the shift from classical binary logic (true and false) to a more complex landscape of logical frameworks. It introduces logical pluralism, which suggests that no single, universally accepted system of logic exists. The paper connects this idea to neutrosophy, a framework that extends fuzzy logic by incorporating a third value: indeterminacy. This triadic approach, where every proposition has a degree of truth (T), falsity (F), and indeterminacy (I), is particularly useful for managing incomplete or contradictory information. The author argues that different logical systems, like different tools, are suited for different problems, and that the …
A Computerized Mastitis Classification Aid Using A Dairy Herd-Based Records: Multi-Layer Perceptron (Mlp) Neural Network With Backpropagation Approach, Ahmed M. Gad Prof, Dina Faris De, Sherif Ramadan Prof, Ghada Afifi Dr, Eman Manaa Prof, Mahmoud El-Tarabany Prof
A Computerized Mastitis Classification Aid Using A Dairy Herd-Based Records: Multi-Layer Perceptron (Mlp) Neural Network With Backpropagation Approach, Ahmed M. Gad Prof, Dina Faris De, Sherif Ramadan Prof, Ghada Afifi Dr, Eman Manaa Prof, Mahmoud El-Tarabany Prof
Business Administration
The main objective of this study is to develop an efficient machine learning-based model for the early prediction of clinical mastitis in Holstein Friesian dairy cattle where automatic milking system (AMS) data is used. The model aims to offer a costless opportunity for mastitis control and reduce its negative impact on livestock production. Different forward multilayer perceptron (MLP) neural networks with backpropagation (BP) learning algorithms using various numbers of hidden neurons and epochs have been introduced. The results of the established models are evaluated based on different metrics such as the accuracy, the F1 core, the precision, the recall, and …
The Metaverse, Religious Practice And Wellbeing: A Narrative Review, Justin Thomas, Mohammad Amin Kuhail, Fahad Albeyahi
The Metaverse, Religious Practice And Wellbeing: A Narrative Review, Justin Thomas, Mohammad Amin Kuhail, Fahad Albeyahi
All Works
The metaverse is touted as the next phase in the evolution of the Internet. This emerging digital ecosystem is widely conceptualized as a persistent matrix of interconnected multiuser, massively scaled online environments optimally experienced through immersive digital technologies such as virtual reality (VR). Much of the prognostication about the social implications of the metaverse center on secular activities. For example, retail, entertainment (gaming/concerts), and social networking. Little attention has been given to how the metaverse might impact religion. This narrative review explores contemporary research into online religious practice and the use of immersive digital technologies for religious purposes. This focus …
Advancing The Understanding Of Clinical Sepsis Using Gene Expression–Driven Machine Learning To Improve Patient Outcomes, Asrar Rashid, Feras Al-Obeidat, Wael Hafez, Govind Benakatti, Rayaz A. Malik, Christos Koutentis, Javed Sharief, Joe Brierley, Nasir Quraishi, Zainab A. Malik, Arif Anwary, Hoda Alkhzaimi, Syed Ahmed Zaki, Praveen Khilnani, Raziya Kadwa, Rajesh Phatak, Maike Schumacher, M. Guftar Shaikh, Ahmed Al-Dubai, Amir Hussain
Advancing The Understanding Of Clinical Sepsis Using Gene Expression–Driven Machine Learning To Improve Patient Outcomes, Asrar Rashid, Feras Al-Obeidat, Wael Hafez, Govind Benakatti, Rayaz A. Malik, Christos Koutentis, Javed Sharief, Joe Brierley, Nasir Quraishi, Zainab A. Malik, Arif Anwary, Hoda Alkhzaimi, Syed Ahmed Zaki, Praveen Khilnani, Raziya Kadwa, Rajesh Phatak, Maike Schumacher, M. Guftar Shaikh, Ahmed Al-Dubai, Amir Hussain
All Works
Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information …
Branching Fractional Brownian Motion, Reece Beattie-Hauser
Branching Fractional Brownian Motion, Reece Beattie-Hauser
Masters Theses
"Fractional Brownian Motion (FBM) is a Gaussian process whose increments are correlated over long times. FBM is an example of anomalous diffusion, and recently it has been used to model the distribution of serotonergic fibers in the brain [1, 2]. To better represent these fibers, branching FBM (bFBM), where FBM trajectories may randomly split into two, is introduced. One-dimensional bFBM is studied in both sub diffusive and super diffusive regimes, examining three potential behaviors of the correlations (memory) in a branching event: both trajectories retain the memory of previous steps, only one keeps the memory, and neither keeps the memory. …
Ontogenetically Driven Changes In The Endocranial Anatomy Of Maiasaura Peeblesorum And Its Implications For Sensory Functions, Emma Puetz
Masters Theses
"Hadrosaurids exhibited extreme morphological diversity and behavioral characteristics that can be compared with other, closely related members of Dinosauria – particularly through the study of neuroanatomy. X-ray CT generated endocrania of the Late Cretaceous saurolophine hadrosaur Maiasaura peeblesorum, known as the “good mother” dinosaur, offers a unique opportunity to compare complex ecological behaviors between non-avian dinosaurs and their modern archosaur relatives. The 3D reconstruction software ORS Dragonfly provided linear and volumetric measurements taken from the digital cranial endocast and endosseous labyrinths of three ontogenetically varied M. peeblesorum specimens from the Two Medicine Formation in Montana that were used to …
A Reputation-Based Aodv Protocol For Blackhole And Malfunction Nodes Detection And Avoidance, Qussai M. Yaseen, Monther Aldwairi, Ahmad Manasrah
A Reputation-Based Aodv Protocol For Blackhole And Malfunction Nodes Detection And Avoidance, Qussai M. Yaseen, Monther Aldwairi, Ahmad Manasrah
All Works
Enhancing the security of Wireless Sensor Networks (WSNs) improves the usability of their applications. Therefore, finding solutions to various attacks, such as the blackhole attack, is crucial for the success of WSN applications. This paper proposes an enhanced version of the AODV (Ad Hoc On-Demand Distance Vector) protocol capable of detecting blackholes and malfunctioning benign nodes in WSNs, thereby avoiding them when delivering packets. The proposed version employs a network-based reputation system to select the best and most secure path to a destination. To achieve this goal, the proposed version utilizes the Watchdogs/Pathrater mechanisms in AODV to gather and broadcast …
The Integration Of Neuromorphic Computing In Autonomous Robotic Systems, Md Abu Bakr Siddique
The Integration Of Neuromorphic Computing In Autonomous Robotic Systems, Md Abu Bakr Siddique
Dissertations, Master's Theses and Master's Reports
Deep Neural Networks (DNNs) have come a long way in many cognitive tasks by training on large, labeled datasets. However, this method has problems in places with limited data and energy, like when planetary robots are used or when edge computing is used [1]. In contrast to this data-heavy approach, animals demonstrate an innate ability to learn by communicating with their environment and forming associative memories among events and entities, a process known as associative learning [2-4]. For instance, rats in a T-maze learn to associate different stimuli with outcomes through exploration without needing labeled data [5]. This learning paradigm …
Secure And Privacy-Preserving Federated Learning With Rapid Convergence In Leo Satellite Networks, Mohamed Elmahallawy
Secure And Privacy-Preserving Federated Learning With Rapid Convergence In Leo Satellite Networks, Mohamed Elmahallawy
Doctoral Dissertations
"The advancement of satellite technology has enabled the launch of small satellites equipped with high-resolution cameras into low Earth orbit (LEO), enabling the collection of extensive Earth data for training AI models. However, the conventional approach of downloading satellite-related data to a ground station (GS) for training a centralized machine learning (ML) model faces significant challenges. Firstly, the transmission of raw data raises security and privacy concerns, especially in military applications. Secondly, the download bandwidth is limited, which puts a stringent limit on image transmissions to the GS. Lastly, LEO satellites have sporadic visibility with the GS, and orbit the …
Analytical Methods For Monitoring Traumatic Brain Injury Biomarkers/Treatment And Pharmaceutical Residual Solvents, Olajide Philip Adetunji
Analytical Methods For Monitoring Traumatic Brain Injury Biomarkers/Treatment And Pharmaceutical Residual Solvents, Olajide Philip Adetunji
Doctoral Dissertations
"The development of highly sensitive and efficient analytical methods utilizing advanced instrumentation is necessary to help improve disease diagnosis and therapeutics. A major neuro-consequence of traumatic brain injury (TBI) is oxidative stress from the generation of reactive oxygen species and the depletion of antioxidant defenses. Alteration in concentrations of certain small molecules also occurs with the disease progression and can help understand TBI pathophysiology. Two analytical methods employing liquid chromatography with tandem mass spectrometry (LC-MS/MS) were developed and validated to monitor the potential small-molecule TBI biomarkers at sub-ppb levels. Subsequently, the neuroprotective effect of an antioxidant prodrug, N-acetylcysteine amide (NACA), …
Social Return On Investment (Sroi) From The Community Waste Bank Implementation Under The Learning Center Of Systematic Waste Management Innovation According To The Circular Economy Concept, Pornpod Sridan, Pichaya Surapolchai, Thidasil Plainlaor, Apinya Tanyaim, Nuchanad Hounnaklang, Onuma Zongram, Yotwadee Hawangchu
Social Return On Investment (Sroi) From The Community Waste Bank Implementation Under The Learning Center Of Systematic Waste Management Innovation According To The Circular Economy Concept, Pornpod Sridan, Pichaya Surapolchai, Thidasil Plainlaor, Apinya Tanyaim, Nuchanad Hounnaklang, Onuma Zongram, Yotwadee Hawangchu
Applied Environmental Research
This article presents the results of social return on investment (SROI) evaluation in the community’s waste bank program implemented in the Moo 7 and Moo 8 Villages of Tan Diao Subdistrict, Kaeng Khoi District, Saraburi Province during 2020–2022, which is a part of the Learning Centre of Systematic Waste Management Innovation According to the Concept of Circular Economy project. This research employed participatory action research to collect data on total cost for investment and income from selling recyclable waste through in-depth interviews and focus groups with a total of 40 stakeholders including: 25 community members, 5 community leaders, 3 representatives …
The Influence Of Chemical Fertilizers On The Effectiveness Of Biochar In Mitigating Cadmium Mobility In Soil, Chompoonut Chaiyaraksa, Navapat Sangworn
The Influence Of Chemical Fertilizers On The Effectiveness Of Biochar In Mitigating Cadmium Mobility In Soil, Chompoonut Chaiyaraksa, Navapat Sangworn
Applied Environmental Research
The focus of this study was to explore how various fertilizers influence the movement of cadmium in soil treated with biochar. The research utilized a strong acid sandy loam soil from Chanthaburi Province, naturally rich in organic matter with moderate cation exchange capacity and low nitrogen, potassium, phosphorus, sulfate, salinity and chloride levels. The soil was purposely contaminated with 50 mg kg-1 of cadmium and treated with biochar derived from water hyacinth through pyrolysis at 450°C for an hour. This biochar displayed moderate alkalinity, high organic matter, phosphorus, potassium, and cation exchange capacity, but low nitrogen content. Analytical techniques like …
Removal Of Chromium From Aqueous System Using Nanocellulose Prepared From Defoliated Terminalia Catappa Leaves, Lopamudra Digal, Jayashree Mohanty
Removal Of Chromium From Aqueous System Using Nanocellulose Prepared From Defoliated Terminalia Catappa Leaves, Lopamudra Digal, Jayashree Mohanty
Applied Environmental Research
Nanocellulose is considered as a sustainable and renewable nanomaterial due to its abundant availability, biodegradability and biocompatibility characteristics. The study demonstrates the synthesis of nanocellulose from defoliated leaves of the Tropical Almond (Terminalia catappa) plant, abundantly available residual plant biomass and its subsequent use in eliminating Cr(VI) from the water system. The study demonstrates the preparation of nanocellulose by chemical means, employing NaOH and H2SO4 as chemical agents. Characterization techniques like FTIR, SEM, and XRD were used to study the chemical composition and morphology of the resulting nanocellulose. The characterization studies confirm the formation of nanocellulose from the plant biomass. …
Monitoring Of Estrone From Hospital Wastewater And Its Removal By Photocatalytic Membrane Reactor, Nicha Karnjanamit, Chongdee Thammakhet-Buranachai, Panitan Jutaporn, Watsa Khongnakorn
Monitoring Of Estrone From Hospital Wastewater And Its Removal By Photocatalytic Membrane Reactor, Nicha Karnjanamit, Chongdee Thammakhet-Buranachai, Panitan Jutaporn, Watsa Khongnakorn
Applied Environmental Research
Steroid hormones, classified as endocrine-disrupting compounds (EDCs), pose significant environmental and health concerns due to their persistence and potential adverse effects. This study investigates the presence of estrone (E1) in hospital wastewater and the efficiency of E1 removal through a photocatalytic membrane reactor (PMR). Wastewater samples were collected from two hospitals with different wastewater treatment processes. The concentration of E1 was analyzed using a combination of solid phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). The PMR experimental setup involved a polyvinylidene fluoride (PVDF) membrane incorporated with 1 wt% titanium dioxide (PVDF/TiO2). The PMR performance was evaluated with and …
Exposure To Metal Accumulation In Chicken Giblets And Human Health Risk In Lokoja, Nigeria, Jude Ehwevwerhere Emurotu, Lami Habib, Ephraim Musa Dallatu, Adamu Shuaibu Onakpa, Aloysius Akaangee Pam
Exposure To Metal Accumulation In Chicken Giblets And Human Health Risk In Lokoja, Nigeria, Jude Ehwevwerhere Emurotu, Lami Habib, Ephraim Musa Dallatu, Adamu Shuaibu Onakpa, Aloysius Akaangee Pam
Applied Environmental Research
When consumed, the toxic heavy metals in chicken giblets pose a grave risk to humans. An inductively coupled plasma optical emission spectrometer (ICP-OES) was used to measure the concentrations of metals (Al, Cd, Co, Cr, Ni, Mn, and Pb) in the liver, gizzard, and kidney of chickens from the Lokoja poultry market. Except for lead, which slightly exceeded the FAO/WHO limit of 0.1 mg kg-1, the metal concentrations found were all within the threshold limit. The estimated daily intake (EDI), hazard quotient (HQ), hazard index (HI), and cancer risk (CR) were used to assess the risks that humans would face …
Minimization The Chemical Oxygen Demand (Cod) Content In Tannery Wastewater Using Activated Carbon From Spent Tea Leaves, Kanish Fatama, Nasifa Akter, Badhan Saha, Nur -E- Alam Md., Shimul Chakma
Minimization The Chemical Oxygen Demand (Cod) Content In Tannery Wastewater Using Activated Carbon From Spent Tea Leaves, Kanish Fatama, Nasifa Akter, Badhan Saha, Nur -E- Alam Md., Shimul Chakma
Applied Environmental Research
Water pollution from tannery wastewater is a serious environmental issue. This study aimed to investigate the potential of spent tea leaves as activated carbon (AC) to minimize chemical oxygen demand (COD) of tannery effluent. To determine the best conditions for minimizing COD, a batch adsorption process was conducted, involving various factors such as different adsorbent dosages (ranging from 1 to 11 gm L-1), contact time (30 to150 min), and pH values (ranging from 3 to 11). The characterization was done by Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM). The outcomes of this study demonstrated that using 1.5 M …
A Review On Chemometrics And Climate Change: Insights From Malaysia Case Study, Ismafatin Nabilah Ismail, Mohd Khairul Amri Kamarudin, Wan Nor Azilawanie Tun Ismail, Noorjima Abd Wahab, Ahmad Shakir Mohd Saudi, Mohd Ekhwan Toriman, Firdaus Mohamad Hamzah, Septi Ariadi
A Review On Chemometrics And Climate Change: Insights From Malaysia Case Study, Ismafatin Nabilah Ismail, Mohd Khairul Amri Kamarudin, Wan Nor Azilawanie Tun Ismail, Noorjima Abd Wahab, Ahmad Shakir Mohd Saudi, Mohd Ekhwan Toriman, Firdaus Mohamad Hamzah, Septi Ariadi
Applied Environmental Research
Climate change consider as main issues and concerns in Malaysia over the decade. Chemometrics techniques have been used in many climate change issues to address the limitations of climate change monitoring studies. In climate change areas, chemometrics is a valuable tool for assessing the correlation between different climate change factors, especially in vast and intricate databases. The purpose of the review was to evaluate and summarise the available data and restrictions regarding the use of chemometrics techniques in Malaysian environmental studies. The study conducted a thorough analysis of pertinent scientific papers published between 2019 to 2023 that addressed the main …
Outlooks And Challenges For Urban Green Space Development: A Review Case Study In Thailand, Kanawat Paoin, Chanathip Pharino
Outlooks And Challenges For Urban Green Space Development: A Review Case Study In Thailand, Kanawat Paoin, Chanathip Pharino
Applied Environmental Research
Even though prior studies have provided ample proof of the benefits of urban green space, Thailand's development and exploitation of urban green space remain insufficiently efficient. To assess the prospects for urban green space development in Thailand, our review study highlighted gaps and challenges related to these areas. This review study discussed the rationale for urban green space, its definitions, as well as its benefits and co-benefits (i.e., economic, social, health, and environmental). The review research additionally discussed Thailand's current urban green space issues, associated challenges (such as difficulties valuing and using urban green space, budgetary limitations, low priority for …
Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu
Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu
Applied Environmental Research
Due to the increased usage of tires, the accumulation of worn tires has become a significant environmental concern and necessitates environmentally friendly waste management strategies. Conventional methods, such as tire incineration or improper disposal, contribute to environmental degradation. It is reported that organisms, such as Tenebrio molitor larvae, can degrade a wide range of polymers. This study explores the promising potential of Tenebrio molitor larvae in addressing this concern. Through a series of experiments, Tenebrio molitor larvae were fed with cut-worn tires to facilitate degradation. The larvae exhibited remarkable capabilities, surviving and thriving on tires as a sole carbon source …
Assessment Of Total Petroleum Carbon And Heavy Metals Of Some Selected Plants Grown In Crude Oil Polluted Soils Using Gc-Fid, Pius O. Adah, Ndem E. Edu, Reagan B. Agbor, Henry B. Kogbara
Assessment Of Total Petroleum Carbon And Heavy Metals Of Some Selected Plants Grown In Crude Oil Polluted Soils Using Gc-Fid, Pius O. Adah, Ndem E. Edu, Reagan B. Agbor, Henry B. Kogbara
Applied Environmental Research
This study was focused on assessing the phytoremediation potentials of some selected plant species on crude oil contaminated soils. Five plant species were cultivated in soils polluted with crude oil at 10, 50, 100, 150 and 200 mg kg-1. The results revealed that there were significant reduction in THC contents of soil ameliorated with the various plants species compared to the control group increases with increasing concentration of crude oil pollutant in soil. THC was 62.24 mg kg-1, 1,120 mg kg-1, 208.67 mg kg-1, 257.87 mg kg-1 and 2,762.79 mg kg-1 for R. simplex, P. balfouriana, K. pinnata …
Food Waste From Catering Services In Thai Hotels: A Composition Analysis And Practical Guidelines For Effective Utilization, Patranit Srijuntrapun, Patinya Sukwong
Food Waste From Catering Services In Thai Hotels: A Composition Analysis And Practical Guidelines For Effective Utilization, Patranit Srijuntrapun, Patinya Sukwong
Applied Environmental Research
Food waste from the hotel sector is a significant contributor to the overall volume of food waste, particularly in restaurants and food services through various processes. However, precise data on food waste generated by the hotel industry is lacking. This study aims to quantify and characterize the food waste generated during the preparation and serving processes in hotel catering, with the goal of finding efficient solutions to reduce food waste that are appropriate for the hotel and catering sectors. The study presents novel findings that among the different types of catering, dinner-style buffets (DB) generate the highest amount of food …
Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit
Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit
Chulalongkorn University Theses and Dissertations (Chula ETD)
This research aims to expand the application of DHP in biological systems by employing it as a biosensor for detecting caspases, a family of protease enzymes linked to diseases like cancer and neurodegenerative disorders. In this study, DHP derivatives—BZD, Fmoc-Asp-NH-DHP, and zWEHD-NH-DHP—were synthesized and tested for their potential as protease sensors. Initial screening of BZD and Fmoc-Asp-NH-DHP with common proteases, including papain and bromelain, revealed no enzymatic activity. To facilitate in vitro analysis, caspase-1 enzyme was successfully purified using an E. coli BL21(DE3)pLysS expression system. Kinetic evaluation of zWEHD-NH-DHP demonstrated a Km value of 24 µM, confirming its potential as …
การสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสําหรับใช้ในการพัฒนาเกม, ภัทรานิษฐ์ มุสิกะประยูร
การสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสําหรับใช้ในการพัฒนาเกม, ภัทรานิษฐ์ มุสิกะประยูร
Chulalongkorn University Theses and Dissertations (Chula ETD)
โครงงานมหาบัณฑิตนี้จึงเสนอวิธีการสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสำหรับใช้ในการพัฒนาเกม ในการสร้างแบบจำลองเพื่อทำนายการเคลื่อนไหวของใบหน้าขณะพูดภาษาไทย ได้ใช้ชุดข้อมูลออดิโอวิชวล TSynC-3miti: Audiovisual Speech Synthesis Database from Found Data ร่วมกับแนวคิดจาก งานวิจัย A Decision Tree Framework for Spatiotemporal Sequence Prediction ที่ได้เสนอวิธีการสำหรับการทำนายลำดับข้อมูลที่มีจำนวนมิติสูงและต่อเนื่อง โดยใช้เทคนิคการแบ่งย่อยด้วยหน้าต่างเลื่อนร่วมกับวิธีการรวมกลุ่มของต้นไม้ตัดสินใจ ซึ่งสามารถนำมาประยุกต์ใช้ในการสร้างแอนิเมชันสำหรับการพูดได้ ในการทำนายการเคลื่อนไหวของใบหน้าขณะพูดภาษาไทยในโครงงานมหาบัณฑิตนี้ จะใช้ข้อมูลนำเข้าเป็นลำดับของสัญลักษณ์โฟเนติก จากจึงต้องมีการเตรียมชุดข้อมูลใหม่จากชุดข้อมูลออิดิโอวิชวล TSynC-3miti จากนั้นนำชุดข้อมูลไปฝึกสอนโมเดล และพัฒนาเครื่องมือที่ใช้ในการสร้างแอนิเมชัน โดยเป็นรูปแบบของส่วนเสริมสำหรับใช้ในเกมเอนจิน Unreal Engine โดยรับอินพุตเป็นข้อความภาษาไทย และจะได้ค่าการเคลื่อนไหวใบหน้ามาอ้างอิงบนใบหน้าของตัวละครในแต่ละช่วงเวลา ผลลัพธ์ของการทำงานของส่วนเสริมนี้จะได้เป็นแอนิเมชัน 3 มิติของโมเดลตัวละคร MetaHuman ที่สามารถพูดภาษาไทยได้อย่างสมจริง โดยผลการทดสอบพบว่าแอนิเมชันมีความสมจริงจากมุมมองทั้งหน้าตรงและหน้าเอียง โดยมุมมองหน้าเอียงดูสมจริงมากกว่า และการออกเสียงแต่ละโฟเนติกมีความสมจริงเช่นกัน
Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod
Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod
Chulalongkorn University Theses and Dissertations (Chula ETD)
Aflatoxins (AF) are harmful carcinogens found in feeds and foods. Aflatoxin B1, the most known natural carcinogen, was classified as a Group I carcinogen by the International Agency for Research on Cancer (IARC). To respond to this problem, molecularly imprinted polymers coated on Fe3O4 nanoparticles (Fe3O4@MIP) were synthesized by polymerization method using 5,7-dimethoxycoumarin (DMC) as the template and methacrylic acid (MAA) as the functional monomer. Fe3O4 magnetic nanoparticles were used as a core structure to enhance recycling performance. After the removal of the template, Fe3O4@MIP composites were characterized using x-ray powder diffraction spectroscopy (XRD), Fourier transform infrared spectroscopy (FTIR), vibrating …
Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan
Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Learning in deep learning architectures for computer vision is a resource-intensive process. Although the accuracy of state-of-the-art models has improved over time, these methods still require significant time and memory to process large datasets, particularly in the context of streaming image data. The necessity to store and reprocess old data each time new data is introduced leads to inefficient resource usage. A more efficient approach is to learn from data in chunks and discard the previously processed data. However, this strategy often results in catastrophic forgetting. In this study, we propose a novel algorithm called CNN-SCIL, which enhances the Streaming …