• Title/Summary/Keyword: health applications

Search Result 1,349, Processing Time 0.036 seconds

Effect of black sand as a partial replacement for fine aggregate on properties as a novel radiation shielding of high-performance heavyweight concrete

  • Ashraf M. Heniegal;Mohamed Amin;S.H. Nagib;Hassan Youssef;Ibrahim Saad Agwa
    • Structural Engineering and Mechanics
    • /
    • v.87 no.5
    • /
    • pp.499-516
    • /
    • 2023
  • To defend against harmful gamma radiation, new types of materials for use in the construction of heavyweight concrete (HWC) are still needed to be developed. This research introduces new materials to be employed as a partial replacement for fine aggregate (FA) to manufacture high-performance heavyweight concrete (HPHWC). These materials include hematite, black sand, ilmenite, and magnetite, with substitution ratios of 50% and 100% of FA. In this research, the hardening and fresh characteristics of HPHWC were obtained. Concrete samples' Gamma-ray linear attenuation coefficient was evaluated utilizing a gamma source of Co-60 through the thicknesses of 2.5, 5, 7.5, 10, 12.5, and 15 cm. High temperatures were studied for HPHWC samples, which were exposed to up to 700℃ for two hours. Energy-dispersive x-rays and a scanning electron microscope carried out microstructure analyses. Magnetite as an FA attained the lowest compressive strength of 87.1 MPa, but the best radiation protection characteristics and the highest density of 3100 kg/m3 were achieved. After 28 days, the attenuation efficiency of concrete mixtures was increased by 6.5% when fine sand was replaced with black sand at a ratio of 50%. HPHWC, which contains hematite, black sand, ilmenite, and magnetite, is designed to reduce environmental and health dangers and be used in medicinal, military, and civil applications.

U.S. Whey Proteins and New Fractions as Ingredients in Functional Dairy Products and Innovative Nutraceuticals (기능성 유제품과 개선된 기능성 물질로서 미국에서 개발된 유청 단백질과 그 분획물)

  • Lagrange, V.
    • Journal of Dairy Science and Biotechnology
    • /
    • v.16 no.2
    • /
    • pp.106-118
    • /
    • 1998
  • Whey is a natural product obtained during cheese production. With the advent of new technology, whey protein concentrates and whey fractions have become readily available and versatile food ingredients. Whey protein concentrates are highly functional ingredients that have gelling, emulsifying, whipping, water-binding and fat-replacement properties. New fractions derived from whey (such as alpha-lactalbumin, lactoferrin, lactoperoxidase and peptides) attract considerable interest worldwide because of their bioactive or health-enhancing properties. Some of these fractions also find new uses as natural antibiotic, natural preservative and immunity-enhancing agents. With the growth of the functional foods industry sector, an increasing number of manufacturers take advantage of whey's nutritional and functional benefits to develop successful new products. The United States is the world's largest single producer and exporter of whey products. In 1997, more than 1 million metric tons of whey products were manufacturers in the U.S.

  • PDF

A Distributed Activity Recognition Algorithm based on the Hidden Markov Model for u-Lifecare Applications (u-라이프케어를 위한 HMM 기반의 분산 행위 인지 알고리즘)

  • Kim, Hong-Sop;Yim, Geo-Su
    • Journal of the Korea Society of Computer and Information
    • /
    • v.14 no.5
    • /
    • pp.157-165
    • /
    • 2009
  • In this paper, we propose a distributed model that recognize ADLs of human can be occurred in daily living places. We collect and analyze user's environmental, location or activity information by simple sensor attached home devices or utensils. Based on these information, we provide a lifecare services by inferring the user's life pattern and health condition. But in order to provide a lifecare services well-refined activity recognition data are required and without enough inferred information it is very hard to build an ADL activity recognition model for high-level situation awareness. The sequence that generated by sensors are very helpful to infer the activities so we utilize the sequence to analyze an activity pattern and propose a distributed linear time inference algorithm. This algorithm is appropriate to recognize activities in small area like home, office or hospital. For performance evaluation, we test with an open data from MIT Media Lab and the recognition result shows over 75% accuracy.

Review of Domestic Sleep Industry Classification Criteria and Aanalysis of characteristics of related companies

  • Yu, Tae Gyu
    • International journal of advanced smart convergence
    • /
    • v.11 no.1
    • /
    • pp.111-116
    • /
    • 2022
  • After COVID-19, the number of people with sleep disorders around the world is increasing. In particular, in the flow of the 4th industrial revolution, the differentiation of types and characteristics of the sleep industry is accelerating. Therefore, in this study, the characteristics of each type of sleep-related industry were reclassified from an industrial point of view, and based on this, an attempt was made to review the classification system that can help companies develop sleep products and improve related national systems. Based on the 10th standard industry classification, we compared input cost, value, and usability and analyzed common characteristics, treatments, and preventive effects based on this. A comprehensive taxonomy using matrix analysis was reviewed. As a result, in terms of cost (A), the most common sleeping products are general mattresses and general bedding. It is an IOT device (auxiliary device), and the value aspect (B, B/D) included sleep cafe, bedding rental and management service, and sleep consulting. In terms of utility (A/B), a total of 6 product groups including sleep aids (health functional foods) belong to this category, and in terms of treatment (A/C), a total of 3 product groups including sleep clinics (medical services) belong to this category. As for the product group (A/D) with both properties, it was found that non-insurance sleep treatment medical devices, sleep-related over-the-counter drugs, and some sleep monitoring applications belong to this category. Ultimately, it was found that the sleep industry classification enables the most active product development and composition according to the relative relationship between cost and utility, and treatment and utility. appeared to be necessary.

Isolation, Characterization and Whole-Genome Analysis of Paenibacillus andongensis sp.nov. from Korean Soil

  • Yong Guan;Zhun Li;Yoon-Ho Kang;Mi-Kyung Lee
    • Journal of Microbiology and Biotechnology
    • /
    • v.33 no.6
    • /
    • pp.753-759
    • /
    • 2023
  • The genus Paenibacillus contains a variety of biologically active compounds that have potential applications in a range of fields, including medicine, agriculture, and livestock, playing an important role in the health and economy of society. Our study focused on the bacterium SS4T (KCTC 43402T = GDMCC 1.3498T), which was characterized using a polyphasic taxonomic approach. This strain was analyzed using antiSMASH, BAGEL4, and PRISM to predict the secondary metabolites. Lassopeptide clusters were found using all three analysis methods, with the possibility of secretion. Additionally, PRISM found three biosynthetic gene clusters (BGC) and predicted the structure of the product. Genome analysis indicated that glucoamylase is present in SS4T. 16S rRNA sequence analysis showed that strain SS4T most closely resembled Paenibacillus marchantiophytorum DSM 29850T (98.22%), Paenibacillus nebraskensis JJ-59T (98.19%), and Paenibacillus aceris KCTC 13870T (98.08%). Analysis of the 16S rRNA gene sequences and Type Strain Genome Server (TYGS) analysis revealed that SS4T belongs to the genus Paenibacillus based on the results of the phylogenetic analysis. As a result of the matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) results, SS4T was determined to belong to the genus Paenibacillus. Comparing P. marchantiophytorum DSM 29850T with average nucleotide identity (ANI 78.97%) and digital DNA-DNA hybridization (dDDH 23%) revealed values that were all less than the threshold for bacterial species differentiation. The results of this study suggest that strain SS4T can be classified as a Paenibacillus andongensis species and is a novel member of the genus Paenibacillus.

Analysis and Modeling of Hosting Process in International Sports Events (국제스포츠이벤트의 유치 프로세스 분석 및 모델링)

  • Kim, Joo-Hak;Cho, Sun-mi
    • 한국체육학회지인문사회과학편
    • /
    • v.55 no.1
    • /
    • pp.441-455
    • /
    • 2016
  • International sports events is one of the core products in the sports industry. The increasing number of nations are bidding to host the international sports event such as Olympics Game because of expecting to development of a city or nation. Hosting a international sports events are inter-connected and affected by system of socials, politics, cultures and economics. As the scale of the international sports events became larger, sports events process importance is growing. The purpose of this study was build a model of the sports event process in the attract steps. By analyzing event process in the attract steps, the core processes(1. Search, 2. Applications, 3. Practice, 4. Follow-up management) was set and stakeholders and function were analyzed. The modeling was used as IDEF method.

Persistence and Degradation Pattern of Acequinocyl and Its Metabolite, Hydroxyl-Acequinocyl and Fenpyroximate in Butterburs (Petasites japonicus Max.)

  • Leesun Kim;Geun-Hyoung Choi;Hyun Ho Noh;Hee-Dong Lee;Hak-won Lee;Kee Sung Kyung;Jin-Ho Ro
    • Korean Journal of Environmental Agriculture
    • /
    • v.42 no.2
    • /
    • pp.93-103
    • /
    • 2023
  • Persistence and degradation patterns of acequinocyl and its metabolite, hydroxyl-acequinocyl (acequinocyl-OH) and fenpyroximate in butterburs (Petasites japonicus Max.) were investigated after pesticide application. Butterburs, one of the minor crops in South Korea, was planted in two plots (plot A for double and plot B for single application) in a greenhouse. Butterburs samples were also planted in a separate plot without pesticide treatment, as the control. A commercial pesticide containing acequinocyl and fenpyroximate was applied to the foliage of butterburs at hourly intervals after dilution. Recoveries of acequinocyl and acequinocyl-OH were 78.6-84.7% and 83.7-95.5%, respectively; the relative standard deviation of the two compounds were less than 5%. The method limit of quantification was 0.01 mg/kg. The total (Ʃ) acequinocyl residues in butterburs reduced by 96.0% at 14 days and 75.9% at 7 days, in plot A and B, respectively, after final pesticide applications. The biological half-life (DT50) of Ʃ acequinocyl and fenpyroximate, calculated using the dissipation rate, was 3.0 days and 4.0 days, respectively. These data were used to set up maximum residue and safe standard levels when the pesticides are applied to control pests during butterbur cultivation. Risk assessment results showed that the maximum % acceptable daily intake was 7.74% for Ʃ acequinocyl and 0.16% for Ʃ fenpyroximate. The theoretical maximum daily intake of Ʃ acequinocyl and fenpyroximate was 26.3% and 35.8%, respectively. In conclusion, the concentrations of Ʃ acequinocyl and fenpyroximate in butterburs pose no significant health risks to Koreans.

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry

  • Kyung Won Kim;Jimi Huh ;Bushra Urooj ;Jeongjin Lee ;Jinseok Lee ;In-Seob Lee ;Hyesun Park ;Seongwon Na ;Yousun Ko
    • Journal of Gastric Cancer
    • /
    • v.23 no.3
    • /
    • pp.388-399
    • /
    • 2023
  • Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.

Homogeneity of XEN Cells Is Critical for Generation of Chemically Induced Pluripotent Stem Cells

  • Dahee Jeong;Yukyeong Lee;Seung-Won Lee;Seokbeom Ham;Minseong Lee;Na Young Choi;Guangming Wu;Hans R. Scholer;Kinarm Ko
    • Molecules and Cells
    • /
    • v.46 no.4
    • /
    • pp.209-218
    • /
    • 2023
  • In induced pluripotent stem cells (iPSCs), pluripotency is induced artificially by introducing the transcription factors Oct4, Sox2, Klf4, and c-Myc. When a transgene is introduced using a viral vector, the transgene may be integrated into the host genome and cause a mutation and cancer. No integration occurs when an episomal vector is used, but this method has a limitation in that remnants of the virus or vector remain in the cell, which limits the use of such iPSCs in therapeutic applications. Chemical reprogramming, which relies on treatment with small-molecule compounds to induce pluripotency, can overcome this problem. In this method, reprogramming is induced according to the gene expression pattern of extra-embryonic endoderm (XEN) cells, which are used as an intermediate stage in pluripotency induction. Therefore, iPSCs can be induced only from established XEN cells. We induced XEN cells using small molecules that modulate a signaling pathway and affect epigenetic modifications, and devised a culture method which can produce homogeneous XEN cells. At least 4 passages were required to establish morphologically homogeneous chemically induced XEN (CiXEN) cells, whose properties were similar to those of XEN cells, as revealed through cellular and molecular characterization. Chemically iPSCs derived from CiXEN cells showed characteristics similar to those of mouse embryonic stem cells. Our results show that the homogeneity of CiXEN cells is critical for the efficient induction of pluripotency by chemicals.

Analysis of Knowledge, Attitudes, and Practices for Safe Medication Use in Caregivers for Pediatric Patients (소아환자 보호자의 소아 대상 약물사용 관련 지식, 태도, 행동 분석 연구)

  • Soon Ji Moon;Kyungim Kim;Kyung Hee Choi;Kiyon Rhew
    • Korean Journal of Clinical Pharmacy
    • /
    • v.33 no.2
    • /
    • pp.106-112
    • /
    • 2023
  • Background: The safe use of medication in children is important, as it can have significant implications for their health and wellbeing. Parents or caregivers play a crucial role in the medication administration process. Therefore, this study would evaluate the needs and current status (knowledge, attitude, and practice) of caregivers for children on the safe use of medication. Methods: We conducted questionnaires on 150 caregivers with children under nine years old and asked about their knowledge, attitude, and practice regarding the safe use of medication and their needs. Each question was conducted on a 5-point scale. Results: Of the 150 respondents, 128 were women, 75 were in their 30s, and 63 were in their 40s. Among them, 29 parents answered that they had been educated about the safe use of medicines, and 26 (84%) were satisfied with the education. Knowledge, attitude, and practice assessments on drug safety use (mean±SD) were found to be 3.83±0.44, 3.67±0.38, and 3.53±0.45, respectively. There were significant differences between the educated group and the uneducated group in knowledge and practice, not attitude. Conclusion:To provide appropriate education to caregivers of pediatric patients is necessary to ensure the safe and effective use of medication in children. Moreover, appropriate education can improve caregivers' understanding of medication use and lead to proper administration. Therefore, it is imperative to develop educational materials and strategies for medications that incorporate both specialized knowledge and practical applications for pediatric patients.