Digital Commons Network^™

Impacts Of Multitrophic Interactions In Diversified Cropping Systems For Sustainable Management Of Spodoptera Frugiperda, Abdul A. Jalloh, Abdullahi Ahmed Yusuf, Fathiya M. Khamis, Subramanian Sevgan, Daniel Munyao Mutyambai

All Peer-Reviewed Publications

Background: Rapid population growth has made the sustainable intensification of agricultural productivity essential for meeting global food demands while maintaining environmental integrity and biodiversity. Diversified cropping systems, such as intercropping, push-pull systems, and cover cropping, are recognized as agroecological strategies to enhance plant growth and protection, and suppress major pests, including the fall armyworm (FAW, Spodoptera frugiperda). These systems influence complex above-and-below ground interactions among herbivorous pests, plants, soil microbes, and their natural enemies. Aims: This review synthesizes current knowledge on how diversified cropping systems shape multitrophic interactions that affect soil health, plant performance, S. frugiperda suppression, and biocontrol within …

Exploring Slow-Release Plasma Nitrogen Nano-Fertilizer For Improved Maize Production And Nutrient Use Efficiency, Stewart Kyebogola, Richard Onwonga, Stella Kabiri, Onesimus Semalulu, Swidiq Mugerwa, Russell Shelley Yost, Samuel Ikendi, Dennis Beesigamukama, Julius Opio, Godfrey Sseruwu

All Peer-Reviewed Publications

The use of nitrogen (N) fertilizer in maize production is constrained by scarcity, low use efficiency, and high costs. Plasma technology presents a more environmentally friendly nitrogen source (PN). When incorporated into nanocellulose composites to control fertilizer release (NPN), they improve N supply and mitigate environmental risks, thereby optimizing benefits. However, the productivity of NPN relative to urea and its nanoform (NU) remains unexplored. Screenhouse and field experiments were conducted twice on maize using five fertilizer treatments: control, urea, PN, NU, and NPN. All treatments were applied once at 66 kg N ha^-1 and replicated four times. Maize cultivated …

Generalization Bounds For Semi‑Supervised Matrix Completion With Distributional Side Information, Antoine Ledent, Mun Chong Soo, Minh Hieu Nong

Research Collection School Of Computing and Information Systems

We study a matrix completion problem where both the ground truth R matrix and the unknown sampling distribution P over observed entries are low-rank matrices, and share a common subspace. We assume that a large amount M of unlabeled data drawn from the sampling distribution P is available, together with a small amount N of labeled data drawn from the same distribution and noisy estimates of the corresponding ground truth entries. This setting is inspired by recommender systems scenarios where the unlabeled data corresponds to ‘implicit feedback’ (consisting in interactions such as purchase, click, etc. ) and the labeled data …

Synergistic Removal Of Microplastic Fibres: Integrating Chitosan Coagulation In Hybrid Water Pre-Treatment Systems, Jayasuriya Arachchilage Nimesha Thathsarani

Theses: Doctorates and Masters

Microplastic fibres (MPFs) are the most prevalent form of microplastics detected in the influents of water and wastewater treatment plants. Owing to their elongated shape and low density, MPFs frequently evade removal even during tertiary processes such as membrane filtration. Enhancing pretreatment, particularly through cost-effective coagulation-flocculation can reduce the treatment burden on downstream systems. However, conventional inorganic coagulants often necessitate high dosages and can leave residual ions, posing environmental concerns.

As a sustainable alternative, the use of environmentally friendly coagulants such as Chitosan has gained attention for MPF removal. While Chitosan exhibits favourable qualities, its practical application is hindered by …

Detecting Habitat Use Of Three Endemic Freshwater Fish Of Far Southwestern Australia, Paige Rhiannon Wilson

Theses: Doctorates and Masters

The wetland ecosystems of far southwestern Australia face multiple threats including land clearing, historical cattle grazing, changed hydrology, extensive groundwater extraction, and changed fire regimes. Each is exacerbated by a drying climate, and together they provide a significant challenge to the on-going survival of the freshwater fish in this region particularly fish that are endemic, range restricted, and therefore, more likely to be more vulnerable. This study focuses on three such species: Galaxiella munda, Galaxiella nigrostriata and Lepidogalaxias salamandroides, the latter two of which are known to aestivate.

In order to make conservation decisions regarding management of wetlands for …

Development And Evaluation Of A Gc-Msms Method For The Quantification Of Gamma Hydroxybutyrate In Hair, Jacob Robert Keller

Theses: Doctorates and Masters

Gamma (γ)-hydroxybutyrate (GHB) is an endogenous short-chain fatty acid, and is of forensic importance due to its use in drug facilitated sexual assault (DFSA). Exogenous GHB has a limited window of detection in blood (1-hour) and urine (12-hours). Testing hair allows detection of drugs months after ingestion. This thesis contains a literature review which compares published methods which determine concentration of endogenous GHB in hair to determine which procedures are suitable for experimental comparison. The aims of this thesis were to develop a GC-MS-based method for the detection of GHB, test various methods to improve extraction, determine linearity, precision, accuracy, …

Tinjauan Frasa “Setiap Orang” Dalam Pasal 3 Ayat (1) Peraturan Pemerintah Nomor 56 Tahun 2021 Tentang Pengelolaan Royalti Hak Cipta Lagu Dan/Atau Musik, Fajar Hidayansyah Ilham, Luna Dezeana Ticoalu

Jurnal Hukum & Pembangunan

Copyright is one form of legal protection for intellectual works, occupying an important position within the intellectual property law system. The Copyright Law explicitly grants exclusive rights to creators, encompassing both moral rights and economic rights. Economic rights, as stipulated in Article 9 paragraph (1), allow creators to obtain economic benefits from their works, ranging from publication, reproduction, distribution, performance, to communication to the public. This provision shows that creators hold a primary position as legal subjects entitled to protection, while also serving as central actors in the creative industry ecosystem. In practice, the mechanism for copyright protection requires implementing …

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark For Llms, Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Research Collection School Of Computing and Information Systems

Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress of LLMs, there are two main issues of current benchmarks: i) these benchmarks can be crushed in a short time (less than 1 year), and ii) these benchmarks may be easily hacked. To handle these issues, we propose the ever-scalingness for building the benchmarks which are scaling over complexity against crushing, instance against hacking and exploitation, oversight for easy verification, and coverage for real-world relevance. This paper presents Nondeterministic Polynomial-time Problem Challenge (NPPC), an ever-scaling reasoning benchmark for LLMs. Specifically, the NPPC has three main …