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Showing results [3257 - 3276] / 3412
  • Authors: Amandeep, Singh; Zhi, Qu; Astha, Sharma;  Advisor: -;  Co-Author: - (2022)

    Current and future diagnostics urgently need imaging agents that are non-toxic and superior to clinically used small molecule dyes. Herein, we have developed luminescent green light-emitting carbon dots (GCDs) via a single-step hydrothermal reaction using a low-cost chemical precursor, p-toluenesulfonic acid. The GCDs exhibit excitation-independent fluorescence (FL) emission with the photoluminescence quantum yield of 70% and no FL quenching up to 1.25 mg/mL. The GCDs exhibit negligible cytotoxicity up to 250 µg/mL concentration in RAW 264.7 cells. Interestingly, GCDs exhibit an excitation-independent and concentration-dependent fluorescence emission behaviour. In vitro, the peak emis...
  • Authors: Chang Wei, Tan; Matthieu, Herrmann; Geoffrey I., Webb;  Advisor: -;  Co-Author: - (2023)

    Nearest neighbour similarity measures are widely used in many time series data analysis applications. They compute a measure of similarity between two time series. Most applications require tuning of these measures’ meta-parameters in order to achieve good performance. However, most measures have at least O(L2) complexity, making them computationally expensive and the process of learning their meta-parameters burdensome, requiring days even for datasets containing only a few thousand series. In this paper, we propose ULTRAFASTMPSEARCH, a family of algorithms to learn the meta-parameters for different types of time series distance measures. These algorithms are significantly faster t...
  • Authors: Mai Quan Doan; Nguyen Ha Anh; Nguyen Xuan Quang; Ngo Xuan Dinh; Doan Quang Tri; Tran Quang Huy; Anh-Tuan Le;  Advisor: -;  Co-Author: - (2021)

    An electrochemical approach has been used for green synthesis of gold and silver nanoparticles (e-AuNPs and e-AgNPs) with high levels of purity and scalability. The electrochemically synthesized noble-metal nanoparticles were characterized by ultraviolet–visible (UV–Vis) spectroscopy and scanning electron microscopy (SEM), confirming the formation of spherical e-AuNPs and e-AgNPs with average size of 19 nm and 24 nm, respectively. These green nanoparticles were deposited on aluminum substrates using the drop-drying method for surface-enhanced Raman scattering (SERS)-based detection of Methylene Blue (MB) within the ranges from 10−5 M to 10−8 M and 10−7 M to 10−10 M, respectively. The ...
  • Authors: Rietig, Katharina; Peringer, Christine; Theys, Sarina; Censoro, Jecel;  Advisor: -;  Co-Author: - (2023)

    What is the meaning of ‘consensus’ within and beyond the UNFCCC? What alternative interpretations of consensus are available based on consensus facilitation practice and related literature? This article assesses the mismatch between how the UNFCCC interprets consensus and its broader interpretation in the facilitation practice literature, and proposes a way forward using the concept of ‘standing aside’ more prominently. The restrictive consensus interpretation has far-reaching implications for the ability of the world’s central climate regime to be fit for purpose, i.e., facilitating multilateral climate action. The analysis of consensus in the UNFCCC points to the central problems of...
  • Authors: Willem, Boer; Walter, Verbrugghe; Eric, Hoste;  Advisor: -;  Co-Author: - (2023)

    After citrate administration, calcium citrate complexes are formed. Clearance in diffusive modes increases with the dialysate flow, in convective modes with filtration flow [12]. Complexes that are not removed through the hemofilter return to the patient. In convective modes up to 60% of the citrate given prefilter is cleared via the hemofilter into the effluent (sometimes more in diffusive modes), the rest returning to the patient for metabolization [12]. Decreasing blood flow limits the amount of delivered citrate to the extracorporeal circuit. Limiting blood flows in convective modes in combination with high filtration rates may lead to a high filtration fraction. Therefore, higher...
  • Authors: Armando, Sánchez-Vargas; José Manuel, Márquez-Estrada; Eric, Hernández-Ramírez;  Advisor: -;  Co-Author: - (2023)

    We provide micro foundations for the global production function (GPF) based on the standard microeconomic model, and we develop a parallel probabilistic model with similar properties. The theoretical and probabilistic models of the GPF are integrated in the context of a technology choice problem. We construct a primitive, named the augmented transformation function, to obtain a GPF and its associated joint distribution that includes the output and labor-saving and capital-saving technological innovations. This type of primitive allows us not only to derive the theoretical GPF but also to consistently build a link between the substitutability microparameters (elasticities) and the prob...
  • Authors: Humphries, Fran; Horne, Rachel; Olsen, Melanie;  Advisor: -;  Co-Author: - (2022)

    Uncrewed and autonomous marine vessels (UMVs) challenge the underlying paradigm of maritime laws and regulations. Yet UMVs are considered essential for safer, more efficient, and more effective maritime futures. There is a fundamental challenge facing industry and regulators about how to develop and support the nascent UMV industry while maintaining the safety and risk management principles and processes in legacy laws and regulations predicated on the conventional crewed vessel. This paper, drawing upon case studies of developer and operator experiences with Australia’s maritime safety framework, argues for an “intent-based”, flexible, and collaborative approach based on developers’ ...
  • Authors: Wigboldus, S.; McEwan, M. A.; Schagen, B. van;  Advisor: -;  Co-Author: - (2022)

    Finding out how to scale innovations successfully is high on the agendas of researchers, practitioners and policy makers involved in agricultural development. New approaches and methodologies seek to better address related complexities, but none of them include a systematic perspective on the role of capacity in (partnerships for) scaling innovations. We posit that this has left an important topic insufficiently addressed in relation to partnerships for scaling innovations. The need to address this gap became apparent in the context of the CGIAR Roots, Tubers, and Bananas (RTB) Scaling Fund initiative.
  • Authors: Garbely, Anja; Steiner, Elias;  Advisor: -;  Co-Author: - (2022)

    Voluntary sustainability standards are quickly gaining ground. Whether and how they work in the field, however, remains largely unclear. This is troubling for standards organizations since it hinders the improvement of their standards to achieve a higher impact. One reason why it is difficult to understand the mechanics of VSS is heterogeneity in compliance. We apply machine learning techniques to analyze compliance with one particular VSS: Rainforest Alliance-for which we have detailed audit data for all certified coffee and cocoa producers. In a first step, we deploy a k-modes algorithm to identify four clusters of producers with similar non-compliance patterns. In a second step, we...
  • Authors: Antony, Pearce; Dirk, Pons; Thomas, Neitzert;  Advisor: -;  Co-Author: - (2023)

    Despite the benefits of a lean business system, many organisations struggle to implement and sustain lean initiatives. The purpose of this work was to explore in what way a leader’s deeper knowledge or different understandings of lean affects the lean implementation and its outcomes. The research methodology incorporated a survey of 757 participants. How respondents understood lean was assessed and later correlated to their extent of lean knowledge and specific understanding. This was supported by exploratory factor analysis and structural equation modelling. What caused participants to pursue lean knowledge was also assessed. Low lean knowledge and experience correlated with a system...
  • Authors: Abbas, Farhat; Al-Naemi, Salem; Farooque, Aitazaz A.;  Advisor: -;  Co-Author: - (2023)

    Members of the Gulf Cooperation Council countries Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates rely on desalination to produce water for domestic use. Desalination produces brine that may intrude into the aquifers to pollute the fresh groundwater because of the concentration gradient and groundwater pumping. Modeling the trends of saltwater intrusion needs theoretical understanding and thorough logical experimentation. The objective of this exercise was to understand the phenomenon of saltwater intrusion using an existing set of data analyzed with the convective–diffusion equation and the two-region mobile–immobile solution model.
  • Authors: Volsuuri, Emmanuel; Owusu-Sekyere, Ebenezer; Imoro, Abubakari Zarouk;  Advisor: -;  Co-Author: - (2023)

    Urban centres in Ghana continue to expand to areas with difficult accessibility, severely impacting location decisions on solid waste disposal sites (SWDS). This study uses the location theory to examine the spatial distribution of SWDS in urban Ghana. Methodologically, it uses the nearness neighbour tool, which is a key component in GIS for spatial analysis. The results show that the distribution of SWDS was clustered, randomized, and skewed. The distribution was influenced by accessibility and the ability to pay for waste management services. For these reasons, high-density populated communities were serviced through the central container collection system, while high-class resident...
  • Authors: Bùi, Hữu Phi;  Advisor: Bùi, Văn Hào;  Co-Author: - (2024)

    "Metformin đã và đang đặt ra nhiều thách thức trong bào chế và lâm sàng. Đề tài này sử dụng công nghệ lắng đọng lớp nguyên tử ALD nhằm mục đích vừa giải quyết những khiếm khuyết của bột dược chất trong bào chế, vừa điều khiển tốc độ giải phóng trong môi trường in vitro. Kết quả quan sát ảnh SEM cho thấy lớp màng SiO2 phủ tương đối đều trên bề mặt các hạt bột dược. Kết quả thông qua việc phân tích phổ XPS và EDX chứng tỏ sự lắng đọng thành công của vật liệu SiO2 trên bề mặt dược chất metformin. Dữ liệu phân tích từ phổ FTIR và XRD khẳng định việc tạo màng SiO2 không làm thay đổi cấu trúc phân tử và cấu trúc tinh thể của dược chất metformin. Kết quả phân tích ảnh hưởng của số chu trìn...
  • Authors: Trịnh, Tuấn Anh;  Advisor: Phạm, Tiến Lâm;  Co-Author: - (2023)

    Đề tài tập trung vào ứng dụng học sâu trong việc phân loại chất lượng thịt. Giải pháp đưa ra ở đây đó là sử dụng độ dài phần đuôi để làm thước đo phân loại chất lượng thịt. Cụ thể là với “ lợn đuôi dài ” sẽ là giống lợn nuôi tự nhiên, “ lợn đuôi ngắn ” sẽ là giống lợn nuôi công nghiệp. Để giải quyết bài toán này tôi đề xuất một phương pháp mới là kết hợp huấn luyện được mô hình YOLO (you only look once) để phát hiện vị trí đuôi lợn cho độ chính xác cao, và xây dựng được thuật toán xử lý ảnh cho việc phân lập vùng đuôi lợn phục vụ cho việc đánh giá chiều dài của đuôi giúp nhằm giúp giải quyết bài toán.