Effect of shell thickness on heterostructure of CdSe/CdS core/shell nanocrystals

Core/shell hetero-nanostructures are promising materials for fabricating optoelectronic devices, photodetectors, bioimaging, and biosensing. The CdSe/CdS core/shell nanocrystals (NCs) were synthesized in a wet chemical reaction. The shell thickness was modified by varying reaction times. The structure and optical properties as a function of the CdS shell thickness were investigated. A systematic redshift of the first exciton absorption peaks and photoluminescent (PL) spectra occurred after coating with CdS confirmed the shell growth over the CdSe core. The PL's intensity increased compared with that of bare NCs. The formation of high-quality NCs with uniform size distribution was shown in the transmission electron microscopy (TEM) image and confirmed by the narrow PL band and small FWHM

New Blind Muti-signature Schemes based on ECDLP

In various types of electronic transactions, including election systems and digital cash schemes, user anonymity and authentication are always required. Blind signatures are considered the most important solutions to meeting these requirements. Many studies have focused on blind signature schemes; however, most of the studied schemes are single blind signature schemes. Although blind multi-signature schemes are available, few studies have focused on these schemes. In this article, blind multi-signature schemes are proposed based on the Elliptic Curve Discrete Logarithm Problem (ECDLP). The proposed schemes are based on the GOST R34.10-2012 digital signature standard and the EC-Schnorr digital signature scheme, and they satisfy blind multi-signature security requirements and have better computational performance than previously proposed schemes. The proposed schemes can be applied in election systems and digital cash schemes

RESEARCH ON BUILDING A COMPOSTING PROCESS OF PEELED SHRIMP SHELLS PRODUCED IN SUPER-INTENSIVE SHRIMP FARMING INTO ORGANIC FERTILIZER BY PROBIOTICS

In this study, the author mixed peeled shrimp shells in intensive shrimp farming and straw with probiotics using the aerobic organic composting process to produce calciumrich organic fertilizer. After 50 days of composting of peeled shrimp shells and straw with BioUSD or Fito-Biomix RR probiotics, the resulting fertilizer was brown-black in color, highly soft, spongy and highly degraded and has a relatively uniform size. Due to the action of microorganisms in Bio-USD probiotics, the nutritional compositions in peeled shrimp shell fertilizer had total nitrogen 4.34%, NH4+-N 269 (mg/kg), total carbon 14.6%, organic matter 51.3%, total calcium 22.0%, and C/N ratio 3.26. Similarly, the nutritional compositions in that fertilizer by FitoBiomix RR probiotics were total nitrogen 4.17%, NH4+-N 329 (mg/kg), total carbon 17.8%, organic matter 53.8%, total calcium 17.8%, and C/N ratio 4.27. Finally, the author evaluated the quality of the fertilizers with different probiotics in bok choy cultivation

Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs

This paper presents a knowledge graph construction method for legal case documents and related laws, aiming to organize legal information efficiently and enhance various downstream tasks. Our approach consists of three main steps: data crawling, information extraction, and knowledge graph deployment. First, the data crawler collects a large corpus of legal case documents and related laws from various sources, providing a rich database for further processing. Next, the information extraction step employs natural language processing techniques to extract entities such as courts, cases, domains, and laws, as well as their relationships from the unstructured text. Finally, the knowledge graph is deployed, connecting these entities based on their extracted relationships, creating a heterogeneous graph that effectively represents legal information and caters to users such as lawyers, judges, and scholars. The established baseline model leverages unsupervised learning methods, and by incorporating the knowledge graph, it demonstrates the ability to identify relevant laws for a given legal case. This approach opens up opportunities for various applications in the legal domain, such as legal case analysis, legal recommendation, and decision support.Comment: ISAILD@KSE 202

Does the informal economy mitigate poverty and how does it work? : the case of Vietnam

Countries with lower quality institutions or heavier burden of regulation are associated with a larger informal sector. In addition, other studies show that low startup costs are a key determinant in entering the informal economy. The paper investigates the linkage between the informal economy and poverty reduction based on the 2010 Vietnam Household Living Standard Surveys. Among low income households, those with members involved in informal economic activities have a higher per capita income than those with no members in the informal economy, and informal wage workers earn more than informal self-employed workers on average. Meanwhile, among non-poor households an inverse trend is observed

Replacing Face-To-Face Classes by Synchronous Online Technologies: The HOU Experience

AbstractSince 2009, HOU has been providing live virtual classes for various distance learningprograms.This paper will provide an opportunity to look at the issues involved in the use of thesemultimedia-enabled delivery approaches, the technology behind them, the logistics involved,and to provide an HOU perspective of the experiences encountered.The goal of research was to provide a systematic methods to implement the highlyinteractive live session. The additional goals was to design the portable hardware and easy touse software toolset as well as easy to follow guidelines on how to propel the lectures fromthe conventional dull chalk and talk and to minimise the number of staff required to give thelectures.Through a combination of surveys and feedback from lecturers and students, we are ableto better understand the obstacles and to continuously improve on the effectiveness of theseinteractive delivery approaches

Isolation and characterization of Rhizobium spp. and Bradyrhizobium spp. from legume nodules

Rhizobia topic has been re-focused in recent years because of new findings on their traits not only as nitrogen-fixing bacteria but also as plant growth-promoting rhizobacteria. When combing rhizobial strains with novel biological carriers (e.g., biochar) for inoculant production, it brings great potential for improving soil health in long-term. Appreciating this trend, this study is designed to isolate and characterize local rhizobial strains from legume fields using the conventional method with some modifications to increase efficiency in rhizobial identification. As a result, 17 rhizobial strains were isolated and classified biochemically that genetic identification outcome confirmed 10 strains belong to 07 different Rhizobium species as R. mayense, R. paknamense, R. pusense, R. miluonense, R. tropici, R. phaseoli, and R. multihospitium while the rest belong to 06 various Bradyrhizobium species as B. elkanii, B. centrosematis, B. guangxiense, B. liaoningense, B. yuanmingense, and B. arachidis. Thermal and saline tolerant tests together with seed germination tests also performed on these rhizobial strains to gain data on their responses to abiotic stresses. By comparing rice and mung bean GI values, we can assess the effectiveness of each rhizobial strains to help seeds at their early germination

RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification

In this study, we present a novel and challenging multilabel Vietnamese dataset (RMDM) designed to assess the performance of large language models (LLMs), in verifying electronic information related to legal contexts, focusing on fake news as potential input for electronic evidence. The RMDM dataset comprises four labels: real, mis, dis, and mal, representing real information, misinformation, disinformation, and mal-information, respectively. By including these diverse labels, RMDM captures the complexities of differing fake news categories and offers insights into the abilities of different language models to handle various types of information that could be part of electronic evidence. The dataset consists of a total of 1,556 samples, with 389 samples for each label. Preliminary tests on the dataset using GPT-based and BERT-based models reveal variations in the models' performance across different labels, indicating that the dataset effectively challenges the ability of various language models to verify the authenticity of such information. Our findings suggest that verifying electronic information related to legal contexts, including fake news, remains a difficult problem for language models, warranting further attention from the research community to advance toward more reliable AI models for potential legal applications.Comment: ISAILD@KSE 202

NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models

This paper describes the NOWJ1 Team's approach for the Automated Legal Question Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance by integrating classical statistical models and Pre-trained Language Models (PLMs). For the document retrieval task, we implement a pre-processing step to overcome input limitations and apply learning-to-rank methods to consolidate features from various models. The question-answering task is split into two sub-tasks: sentence classification and answer extraction. We incorporate state-of-the-art models to develop distinct systems for each sub-task, utilizing both classic statistical models and pre-trained Language Models. Experimental results demonstrate the promising potential of our proposed methodology in the competition.Comment: ISAILD@KSE 202

Adsorption of ammonium, nitrite, and nitrate onto rice husk biochar for nitrogen removal

This study aims to investigate the adsorption capacity of ammonium NH4+, nitrite NO2- and nitrate NO3- onto rice husk biochar (RHB) obtained from 550 °C pyrolysis temperature in the context of using low-cost absorbent for recirculating aquaculture system (RAS). Raw RHB at its original size 5–8 mm has been choosen for testing its adsorption capacity as well as several key material properties (pHPZC, surface area, and elemental analysis). From surface functional group analysis, there existed the O–H group (at frequency 3443 cm-1), –CH3 (2360 cm-1), and either –C=O or C=C group (in the range of frequency 1600–1650 cm-1) as well as –COOH (1456 cm‒1) that helped enhance chemical adsorption. The experimental adsorption data has been roughly consistent with Langmuir and Freundlich models that used to calculate the maximum saturated monolayer adsorption capacity Q0max of ammonium, nitrite, and nitrate were 0.1003, 0.2477, and 0.1290 mg/g respectively. Therefore, RHB could be a potential candidate for biofilter application in both targets cost-efficient and sustainable that worth applied at scale