Effect of pulse time and external magnetic field on Giant Magnetoresistance (GMR) effect of electrodeposited multilayer Co/Cu

Influences of pulse time and external magnetic on Giant Magnetoresistance (GMR) effect of multilayer Co/Cu were investigated. Results showed that by changing pulse deposition time (tCo, tCu), the MR ratio of the electrodeposited multilayers varied from 0 to 2.70%. The maximum value of MR ratio (2.70%) was achieved with deposition time (tCo= 2s, tCu= 5s), corresponding to the thickness (δCo = 2.1 nm, δCu= 7.0 nm). The presence of external magnetic field Hext during electrodeposition enhanced the amount of deposited Cu on one hand, and increased the (200) texture of the deposited films on the other hand. As a result, the MR ratio of the obtained multilayers increased slightly from 2.70% (Hext= 0) to 2.74% (Hext= 600 mT)

Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine

Despite the tremendous success, pitfalls have been observed in every step of a clinical metabolomics workflow, which impedes the internal validity of the study. Furthermore, the demand for logistics, instrumentations, and computational resources for metabolic phenotyping studies has far exceeded our expectations. In this conceptual review, we will cover inclusive barriers of a metabolomics-based clinical study and suggest potential solutions in the hope of enhancing study robustness, usability, and transferability. The importance of quality assurance and quality control procedures is discussed, followed by a practical rule containing five phases, including two additional "pre-pre-" and "post-post-" analytical steps. Besides, we will elucidate the potential involvement of machine learning and demonstrate that the need for automated data mining algorithms to improve the quality of future research is undeniable. Consequently, we propose a comprehensive metabolomics framework, along with an appropriate checklist refined from current guidelines and our previously published assessment, in the attempt to accurately translate achievements in metabolomics into clinical and epidemiological research. Furthermore, the integration of multifaceted multi-omics approaches with metabolomics as the pillar member is in urgent need. When combining with other social or nutritional factors, we can gather complete omics profiles for a particular disease. Our discussion reflects the current obstacles and potential solutions toward the progressing trend of utilizing metabolomics in clinical research to create the next-generation healthcare system.11Ysciescopu

What Do WEIRD and Non-WEIRD Conversational Agent Users Want and Perceive? Towards Transparent, Trustworthy, Democratized Agents

A majority of researchers who develop design guidelines have WEIRD, adult perspectives. This means we may not have technology developed appropriately for people from non-WEIRD countries and children. We present five design recommendations to empower designers to consider diverse users' desires and perceptions of agents. For one, designers should consider the degree of task-orientation of agents appropriate to end-users' cultural perspectives. For another, designers should consider how competence, predictability, and integrity in agent-persona affects end-users' trust of agents. We developed recommendations following our study, which analyzed children and parents from WEIRD and non-WEIRD countries' perspectives on agents as they create them. We found different subsets of participants' perceptions differed. For instance, non-WEIRD and child perspectives emphasized agent artificiality, whereas WEIRD and parent perspectives emphasized human-likeness. Children also consistently felt agents were warmer and more human-like than parents did. Finally, participants generally trusted technology, including agents, more than people.Comment: 24 pages, 13 figures, submitted to CHI 2023, for associated appendix: https://gist.github.com/jessvb/fa1d4c75910106d730d194ffd4d725d

FACTORS INFLUENCING TOURIST SATISFACTION WITH AGRITOURISM IN THE MEKONG DELTA, VIETNAM

The Mekong Delta, Vietnam possesses great potential and advantages for developing agritourism. To ensure the sustainable development of agritourism, enhance service quality, and improve tourist satisfaction are essential. This study aims to identify the factors influencing tourist satisfaction with agritourism in the Mekong Delta. Data were collected using a quota sampling method, with a sample size of 228 tourists who had visited and experienced agritourism in the Mekong Delta, Vietnam. A mixed-method approach combining qualitative and quantitative research was used to test research hypotheses. By applying structural equation modeling (SEM), the study demonstrated that local culture, natural landscape, novelty, assurance, tourism human resources, and perceived value positively influenced tourist satisfaction with agritourism in the Mekong Delta. Among these factors, the natural landscape had the most impact on tourist satisfaction with agritourism in the Mekong Delt

DETERMINATION OF ARSENIC (ILL AND V) BY ANODIC STRIPPING VOLTAMMETRY ON GOLD FILM ELECTRODE

Joint Research on Environmental Science and Technology for the Eart

BISMUTH FILM ELECTRODE FOR STRIPPING VOLTAMMETRIC DETERMINATION OF BLOOD LEAD AND PRELIMINARY ASSESSMENT OF BLOOD LEAD LEVEL IN THE RESIDENTS AT CANH DUONG VILLAGE, THUA THIEN HUE PROVINCE

Joint Research on Environmental Science and Technology for the Eart

Isolation and identification of indole acetic acid producing bacteria from the coasts of Ben Tre and Tra Vinh Provinces

Beneficial plant-growth-promoting bacteria (PGPB) have been reasonably applied to rescue crucial issue for agriculture by salinity soil. Observed most of PGPB was found in endophyte, rhizosphere and soil. Indole acetic acid (IAA)-producing bacteria could naturally stimulate and facilitate plant growth. The knowledge of IAA production and content of bacteria resident in the marine environment has been typically insufficient and limited to date. In recent years, unwarrantable intrusions of sea water have been enlarged in the Mekong River Delta of Vietnam, threatening productive rice fields, local fruits, and cash crops. Therefore, finding PGPB in the coastal regions in the Mekong River Delta as a creative resource for sustainable agriculture is necessary and is a prompt challenge. In this study, IAA-producing bacteria from coastal regions of Ben Tre and Tra Vinh Provinces were isolated and adequately identified. Out of 202 bacterial isolates, 10 isolates showed the possible ability to produce IAA from L-tryptophan. These 10 isolates were objectively evaluated the capacity to produce IAA under 5% (w/v) NaCl in King B and marine broths. The results revealed that IAA production decreased in 5% NaCl, even though bacterial growth increased. These 10 IAA-producing bacteria were classified at the species level, Marinobacter hydrocarbonoclasticus, M. pelagius, M. daepoensis, and Mameliella phaeodactyli by 16S rRNA gene analysis. The most IAA producer in King’s B broth, the isolate C7, was investigated in more detail. The isolate C7 produced the maximum IAA amount (192.2 ± 1.14 µg/ml) under the presence of 20 g/l yeast extract, 2 g/l of L-tryptophan and 1% NaCl. The isolate C7 was able to grow at 1–17% (w/v) NaCl (optimum, 4%), but not in the absence of NaCl, indicating it is a moderate halophilic bacteria. This study highlighted the considerable ability to produce IAA of marine bacteria, which could be thoughtfully considered to use naturally as biofertilizers to promote plant growth in saline intrusion lands.

ADSORPTIVE CATHODIC STRIPPING VOLTAMMETRIC DETERMINATION OF SEVERAL HEAVY METALS (Ni, Co, Cu, Pb) IN NATURAL WATERS

Joint Research on Environmental Science and Technology for the Eart

Class based Influence Functions for Error Detection

Influence functions (IFs) are a powerful tool for detecting anomalous examples in large scale datasets. However, they are unstable when applied to deep networks. In this paper, we provide an explanation for the instability of IFs and develop a solution to this problem. We show that IFs are unreliable when the two data points belong to two different classes. Our solution leverages class information to improve the stability of IFs. Extensive experiments show that our modification significantly improves the performance and stability of IFs while incurring no additional computational cost.Comment: Thang Nguyen-Duc, Hoang Thanh-Tung, and Quan Hung Tran are co-first authors of this paper. 12 pages, 12 figures. Accepted to ACL 202

Enhancement of photocatalytic activity of TIO2 for gaseous toluene removal by simple mechanical mixing with modified zeolite

A zeolite Y was modified by the microwave-assisted method (MWA) for generating mesopores and was mechanically mixed with TiO2 for photocatalytic application. The external surface area, which is represented to the mesopore, was significantly increased about 5 to 10 times in the modified zeolites compared to the parent zeolite. The catalysts were used to catalyze the gas phase photodegradation of toluene, a volatile organic compound (VOC). The photocatalytic activity and stability of the catalyst were improved when the mesoporous zeolite was presented. The mechanical mixture contained 30 wt%. TiO2 and 70 wt%. mesoporous zeolite showed the highest toluene removal efficiency