Liquid-Phase Packaging of a Glucose Oxidase Solution with Parylene Direct Encapsulation and an Ultraviolet Curing Adhesive Cover for Glucose Sensors

We have developed a package for disposable glucose sensor chips using Parylene encapsulation of a glucose oxidase solution in the liquid phase and a cover structure made of an ultraviolet (UV) curable adhesive. Parylene was directly deposited onto a small volume (1 μL) of glucose oxidase solution through chemical vapor deposition. The cover and reaction chamber were constructed on Parylene film using a UV-curable adhesive and photolithography. The package was processed at room temperature to avoid denaturation of the glucose oxidase. The glucose oxidase solution was encapsulated and unsealed. Glucose sensing was demonstrated using standard amperometric detection at glucose concentrations between 0.1 and 100 mM, which covers the glucose concentration range of diabetic patients. Our proposed Parylene encapsulation and UV-adhesive cover form a liquid phase glucose-oxidase package that has the advantages of room temperature processing and direct liquid encapsulation of a small volume solution without use of conventional solidifying chemicals

LifeSeeker 3.0 : an interactive lifelog search engine for LSC’21

In this paper, we present the interactive lifelog retrieval engine developed for the LSC’21 comparative benchmarking challenge. The LifeSeeker 3.0 interactive lifelog retrieval engine is an enhanced version of our previous system participating in LSC’20 - LifeSeeker 2.0. The system is developed by both Dublin City University and the Ho Chi Minh City University of Science. The implementation of LifeSeeker 3.0 focuses on searching and filtering by text query using a weighted Bag-of-Words model with visual concept augmentation and three weighted vocabularies. The visual similarity search is improved using a bag of local convolutional features; while improving the previous version’s performance, enhancing query processing time, result displaying, and browsing support

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573

Ventilator-associated respiratory infection in a resource-restricted setting: impact and etiology.

BACKGROUND: Ventilator-associated respiratory infection (VARI) is a significant problem in resource-restricted intensive care units (ICUs), but differences in casemix and etiology means VARI in resource-restricted ICUs may be different from that found in resource-rich units. Data from these settings are vital to plan preventative interventions and assess their cost-effectiveness, but few are available. METHODS: We conducted a prospective observational study in four Vietnamese ICUs to assess the incidence and impact of VARI. Patients ≥ 16 years old and expected to be mechanically ventilated > 48 h were enrolled in the study and followed daily for 28 days following ICU admission. RESULTS: Four hundred fifty eligible patients were enrolled over 24 months, and after exclusions, 374 patients' data were analyzed. A total of 92/374 cases of VARI (21.7/1000 ventilator days) were diagnosed; 37 (9.9%) of these met ventilator-associated pneumonia (VAP) criteria (8.7/1000 ventilator days). Patients with any VARI, VAP, or VARI without VAP experienced increased hospital and ICU stay, ICU cost, and antibiotic use (p < 0.01 for all). This was also true for all VARI (p < 0.01 for all) with/without tetanus. There was no increased risk of in-hospital death in patients with VARI compared to those without (VAP HR 1.58, 95% CI 0.75-3.33, p = 0.23; VARI without VAP HR 0.40, 95% CI 0.14-1.17, p = 0.09). In patients with positive endotracheal aspirate cultures, most VARI was caused by Gram-negative organisms; the most frequent were Acinetobacter baumannii (32/73, 43.8%) Klebsiella pneumoniae (26/73, 35.6%), and Pseudomonas aeruginosa (24/73, 32.9%). 40/68 (58.8%) patients with positive cultures for these had carbapenem-resistant isolates. Patients with carbapenem-resistant VARI had significantly greater ICU costs than patients with carbapenem-susceptible isolates (6053 USD (IQR 3806-7824) vs 3131 USD (IQR 2108-7551), p = 0.04) and after correction for adequacy of initial antibiotics and APACHE II score, showed a trend towards increased risk of in-hospital death (HR 2.82, 95% CI 0.75-6.75, p = 0.15). CONCLUSIONS: VARI in a resource-restricted setting has limited impact on mortality, but shows significant association with increased patient costs, length of stay, and antibiotic use, particularly when caused by carbapenem-resistant bacteria. Evidence-based interventions to reduce VARI in these settings are urgently needed

THE CHARACTERISTICS OF THE BAND-PASS FILTER FROM THE VARIOUS PARAMETERS OF THE SUBSTRATE

372-376In this work, the design of a band-pass filter implemented on L-resonators is investigated. On one side of the substrate there are transmission lines responsible for the input and output of the structure. On the second side of the substrate are the resonators themselves. Studies have shown that to obtain a higher frequency band, a substrate with a high dielectric constant value is required. The thickness of the substrate affects the size of the filters. This filter is technologically easy to implement using standard methods of manufacturing printed circuit boards

THE CHARACTERISTICS OF THE BAND-PASS FILTER FROM THE VARIOUS PARAMETERS OF THE SUBSTRATE

In this work, the design of a band-pass filter implemented on L-resonators is investigated. On one side of the substrate there are transmission lines responsible for the input and output of the structure. On the second side of the substrate are the resonators themselves. Studies have shown that to obtain a higher frequency band, a substrate with a high dielectric constant value is required. The thickness of the substrate affects the size of the filters. This filter is technologically easy to implement using standard methods of manufacturing printed circuit boards.372-37

Sequencing and identification of homologous region encoding rust resistant-gene in soybean (Glycine max L.)

Soybean (Glycine max L.) is one of the most important crops that is both easily cultivated and of high efficiency. Its product is commonly used as fresh-seed directly or produced into plant oil, cake, candy and milk. It can also be processed as feed for domestic animals for enhancing the protein requirement in daily meals, and it can be exported for providing valuable currency resource. On the other hand, it is also used in the process of land improvement, contributing to increase yield. Soybean is not only useful in medicine for treatment of human disease, but it is also utilized to provide materials for the processing of animal feed with rich-protein resource and also for industrial application. Based on the result of phenotypic evaluation in rust disease, 81 varieties of soybean were classified into three groups: group A consists of 37 varieties with resistance level of 0 and 1; group B has 30 varieties with resistance level of 3 and 5; and group C has 14 varieties with resistance level of level 7 and 9. We have designed two primers for targeting coding region of rust resistant-gene, represented by Langrisat1 and Langrisat2. We have shown that the soybean varieties in group A have high rust resistance capability, which can provide further application in breeding programming. A key task for the future is to determine whether rust resistant-gene can be transferred to susceptible soybean varieties. Two designed primers are needed for synthesis and testing through Polymerase Chain Reaction (PCR) upon request. To the best of our knowledge, the results presented here are the first characterization of nucleotide of rust resistant-gene in soybean. Further analysis is necessary for identifying nucleotide sequence and its functional site accurately

Ratiometric Optical Temperature Sensor Using Two Fluorescent Dyes Dissolved in an Ionic Liquid Encapsulated by Parylene Film

A temperature sensor that uses temperature-sensitive fluorescent dyes is developed. The droplet sensor has a diameter of 40 µm and uses 1 g/L of Rhodamine B (RhB) and 0.5 g/L of Rhodamine 110 (Rh110), which are fluorescent dyes that are dissolved in an ionic liquid (1-ethyl-3-methylimidazolium ethyl sulfate) to function as temperature indicators. This ionic liquid is encapsulated using vacuum Parylene film deposition (which is known as the Parylene-on-liquid-deposition (PoLD) method). The droplet is sealed by the chemically stable and impermeable Parylene film, which prevents the dye from interacting with the molecules in the solution and keeps the volume and concentration of the fluorescent material fixed. The two fluorescent dyes enable the temperature to be measured ratiometrically such that the droplet sensor can be used in various applications, such as the wireless temperature measurement of microregions. The sensor can measure the temperature of such microregions with an accuracy of 1.9 °C, a precision of 3.7 °C, and a fluorescence intensity change sensitivity of 1.0%/K. The sensor can measure temperatures at different sensor depths in water, ranging from 0 to 850 µm. The droplet sensor is fabricated using microelectromechanical system (MEMS) technology and is highly applicable to lab-on-a-chip devices