The evaluation of practical learning instruction management and student satisfaction with the "photocolorimetric methodology platform for measuring egg yolk color" during the COVID-19 pandemic situation

Online teaching management has been widely used during the COVID-19 pandemic situation and it has a direct impact on practical teaching management because students do not have access to equipment, chemicals, and tools. This study's purpose is to evaluate practical learning instruction management and student satisfaction with "photocolorimetric methodology platform for measuring egg yolk color" during the COVID-19 pandemic. This study compared the student satisfaction and effectiveness of a learning instruction platform for measuring egg yolk color using a laboratory machine and an online teaching management platform using photocolorimetric methodology. The results of this experiment revealed that the two platforms evaluated yolk colors L*, a*, and b* similarly (P > 0.05). Furthermore, the students were satisfied with the learning instruction with the photocolorimetric methodology platform for measuring egg yolk color at 4.76 points or the most level.

Recent advances in the effect of ultrasound on the binding of protein−polyphenol complexes in foodstuff

Foodstuff is a complex system that consists of a variety of nutrients. Protein is the basis of human life and health, which is made up of amino acids combined in different proportional orders. Polyphenols are a class of small molecule active substances with strong pro-life health effects. It has been found that protein and polyphenols can be combined by covalent and non-covalent interactions to form complex delivery carriers. The interaction between the two can effectively improve the physiological activities of proteins and enhance the bio-accessibility of polyphenols. With the maturation of ultrasound technology, several studies have shown that ultrasound can promote the production of protein−polyphenol complexes. To promote the study of protein–polyphenol interactions in foodstuff by ultrasound technology, the preparation methods of protein−polyphenol complexes, the effects of ultrasound on complex generation, and analytical methods were systematically summarized based on an extensive literature review, and further research directions were proposed. It provides the reference for the ultrasound study of protein−polyphenol complexes.

Special Issue: Cytometry and analytical methods in Covid-SARS-2 diagnostics and potential treatment. (Special Issue: Cytometry and analytical methods in Covid-SARS-2 diagnostics and potential treatment.)

This special issue contains 9 articles that discuss quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry technique, particularly focusing on several research articles and reviews on exploring the use of flow cytometry techniques towards clinical opportunities in the detection and diagnostics of COVID-19.

A Student Perspective on the 18th Monitoring Molecules in Neuroscience Meeting in Lyon.

After being postponed twice due to the global COVID-19 pandemic, approximately 200 scientists gathered in Lyon, France, in late June 2022 for the 18th Biennial Monitoring Molecules in Neuroscience (MMiN) Research Conference. Although there were unprecedented challenges involved with coordinating the 18th MMiN conference, the meeting was a huge success. The meeting provided a wonderful opportunity for young neuroscientists to network and learn about the current state of molecular monitoring in neuroscience research. The topics spanned advancements in well-established analytical techniques to novel method development. Some of the noteworthy techniques expediting our understanding of circuit-level neurochemical function include multiplexed detection of numerous neurochemicals, well-established sensors leveraging enzymes and other biologic components, and the development of diverse, customizable genetically encoded sensors.

A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays

This paper presents a new method to quantify the potential user time savings if the urban bus is given preferential treatment, changing from mixed traffic to an exclusive bus lane, using a big data approach. The main advantage of the proposal is the use of the high amount of information that is automatically collected by sensors and management systems in many different situations with a high degree of spatial and temporal detail. These data allow ready adjustment of calculations to the specific reality measured in each case. In this way, we propose a novel methodology of general application to estimate the potential passenger savings instead of using simulation or analytical methods already present in the literature. For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. The estimated bus delay is obtained by comparing the estimated bus travel time with the bus travel time under free-flow conditions. Finally, estimated bus passenger time savings would be obtained if an exclusive bus lane had been implemented. An estimation of the passenger's route in each vehicle trip is considered to avoid average value simplifications in this calculation. A case study is conducted in A Coruña, Spain, to prove the methodology's applicability. The results showed that 18.7% of the analyzed bus trips underwent a delay exceeding 3 min in a 2,448 m long corridor, and more than 33,000 h per year could have been saved with an exclusive bus lane. Understanding the impact of different factors on transit and the benefits of a priority bus system on passengers can help city councils and transit agencies to know which investments to prioritize given their limited budget.

Analytical performance of four rapid molecular testing for SARS-CoV-2

Objectives: Various reagents and equipment for testing SARS-CoV-2 infections have been developed, particularly rapid molecular tests based on polymerase chain reaction (PCR). Methods: We evaluated the analytical performance of four rapid molecular tests for SARS-CoV-2. We used 56 nasopharyngeal swabs from patients with confirmed SARS-CoV-2 infection;36 diagnosed as positive by the AmpdirectTM 2019-nCoV Detection Kit (Shimadzu assay) were considered as true-positive samples. Results: The sensitivity of CobasR Liat SARS-CoV-2 and Flu A/B (Cobas) was the highest among the four molecular test kits. The limit of detection was 1.49 x 10-2 copies/ micro L (95% confidence interval [CI]: 1.46x10-2-1.51 x 10-2 copies/ micro L) for Cobas;1.43 x 10-1 copies/ micro L (95% CI: 8.01x10-3-2.78 x 10-1 copies/ micro L) for XpertR Xpress SARS-CoV-2 test (Xpert);2.00 x 10-1 copies/ micro L (95% CI: 1.95x10-1-2.05 x 10-1 copies/ micro L) for FilmArray Respiratory Panel v2.1 (FilmArray);and 3.33 x 10 copies/ micro L (95% CI: 1.93 x 10-4.72x10 copies/ micro L) for Smart GeneR SARS-CoV-2 (Smart gene). Cobas also had a high sensitivity (100%) compared with Shimadzu assay. The sensitivities of Xpert, FilmArray, and Smart Gene were 97.2%, 97.2%, and 75.0%, respectively. The specificity of all tests was 100%. Conclusions: In conclusion, the four rapid SARS-CoV-2 molecular test kits have high specificity and sensitivity for detecting SARS-CoV-2. As they are easy to use, they could be a useful method for detecting SARS-CoV-2.

A Review of Analytical Techniques for the Determination and Separation of Silver Ions and Its Nanoparticles.

Many articles have already been published dealing with silver ions and its nanoparticles, but mostly from the environmental and toxicological point of view. This article is a review focused on the various analytical techniques and detection platforms used in the separation and determination of mentioned above species, especially on the trace concentration level. Commonly used are optical methods because of their high sensitivity and easy automation. The separation methods are mainly used for the separation and preconcentration of silver particles. Their combination with other analytical techniques, mainly inductively coupled plasma mass spectrometry (ICP-MS) leads to very low detection limits of analysis. The electrochemical methods are also powerful and perspective mainly because of the fabrication of new sensors designed for silver determination. All methods may be combined with each other to achieve a synergistic improvement of analytical parameters with an impact on sensitivity, selectivity and reliability. The paper comprises a review of all three types of analytical methods on the determination of trace quantities of silver ions and its nanoparticles.

In celebration of providing the South and southern African sugar industry with more than 20 years of accredited quality analysis of mixed juice, molasses and sugar

The Sugar Milling Research Institute NPC (SMRI) has provided the South and southern African sugar industry with analytical services for more than 50 years. The need for an internationally-recognised quality assurance system to provide SMRI members and their customers with the necessary confidence in the results that they were receiving was recognised more than 25 years ago, and it culminated in the SMRI Analytical Services Division achieving ISO/IEC Guide 25:1990 accreditation in 1998. The SMRI analytical laboratory has since successfully progressed through the ISO/IEC 17025:1999 and ISO/IEC 17025:2005 iterations to the current ISO/IEC 17025:2017 standard. The SMRI has therefore had to continually expand the scope of its systems over the past 25 years, in order to match the updated requirements. The system is used for the analysis of weekly composite mixed juice and final molasses samples from all the SMRI South African member mills and some southern African member mills. Similarly, raw and white sugar analyses are conducted, with the reporting of results to the members' specifications. Critical to the accuracy of these results is the continual auditing and monitoring of the methods, equipment and chemical solutions that are used in the analysis methods. This is achieved by using Certified Reference Materials and control samples, as well as participating in internationally-recognised analytical proficiency schemes. Critical to the success of the laboratory in maintaining its accreditation is the competence of the laboratory staff who undergo continual training and assessments. This was demonstrated in 2020 and 2021, when they were able to continue providing the necessary services, despite the challenges faced during the Covid pandemic.

Fumbling out the effective pathways to apply the wildlife and forest analytic toolkit in the Mekong region: looking at data and analysis perspectives

The Wildlife and Forest Analytic Toolkit, introduced by the International Consortium on Combating Wildlife Crime (ICCWC), is designed to increase the effectiveness of measures combating wildlife and forest crimes (WAFCs). Greater Mekong Subregion (GMS) countries have applied this toolkit as one of their priority actions after recognizing concerns about the biodiversity system and conservational zone through several illegal wildlife trade (IWT) activities. Although the toolkit has realized its fundamental objectives to readjust legal frameworks, enhance enforcement involvement, and improve their judicial and prosecutorial operations, the last components of data and analysis have not yet been implemented. This leads to slow updates of both trends and patterns concerning WAFCs that raise questions about the real levels of exploitation in the region. Using gray literature with published materials, combined with the IWT's database in the CITES system, this study examines why the data and analysis component of the Toolkit created obstacles in the GMS countries. Findings point to there being at least four main challenges to implementing data and analysis as the toolkit has recommended in the region: (1) availability and reliability of data;(2) data collection;(3) data resources (internal vs. external level);and (4) analytic research and its related monitors. Some practical recommendations call for further discussions. Meanwhile, updated information and specific data relating to zoonotic disease transmission are timely, considering the coronavirus pandemic.

Psychometric properties of the Persian version of the COVID-19 phobia scale

Background and Objectives: It is predicted that the negative effects of the novel coronavirus disease 2019 (COVID-19) pandemic will continue. These negative effects are not limited to psychological problems. Serious physiological and economic problems have also been observed. It is important to develop and standardize appropriate tools to assess its different effects. This study aims to investigate the psychometric properties of the Persian version of the COVID-19 Phobia Scale (C19P-S) in Iranian samples. Methods: In this study, participants were people aged 18-60 years in Iran from March to May 2022, who were selected by a convenience sampling method. In order to evaluate the convergent and discriminant validity, the second version of the acceptance and action questionnaire, the brief version of the difficulty in emotion regulation scale, and the fear of COVID-19 scale were used. The factor structure of the questionnaire was examined by confirmatory factor analysis. Reliability was examined using Cronbach's alpha coefficient and the test-retest method. The data were analyzed in SPSS version 25 and LISREL version 8.8. Results: The results of confirmatory factor analysis confirmed the four-factor structure the Persian C19P-S. Cronbach's alpha coefficient for the whole scale was 0.90;for the subscales of psychological, psychological, economic and social factors, it was 0.87, 0.88, 0.89, and 0.91, respectively. In addition, the test-retest reliability with a four-week interval for the whole scale was 0.86;for the subscales of psychological, psychological, economic and social factors, it was 0.83, 0.79, 0.82, and 0.88, respectively. The correlation coefficients indicated the favorable convergent and discriminant validity of the Persian C19P-S (P < 0.001). Conclusion: The Persian C19P-S is a reliable and valid scale for measuring coronaphobia in Iranian samples.

Performance of the PanbioTM COVID-19 Ag rapid test in a health care setting in Ouagadougou, Burkina Faso

This study aimed to evaluate the performance of the PanbioTM Covid-19 Ag Rapid Test (Abbott) in a medical center in Ouagadougou. The PanbioTM COVID-19 Ag test was evaluated from January 26 to March 31, 2021 in symptomatic and asymptomatic patients in the medical Centre of Kossodo. A total of 268 individuals were tested by both SARS-CoV-2 RT-PCR, and antigen RDT. Of these 268 individuals, 52 were positive and 216 were negative for COVID-19 RT-PCR. The performance parameters of the test and its Kappa agreement with the RT-PCR were calculated according to the presence or absence of symptoms in the patients on one hand, and according to the time onset of symptoms on the other hand. The sensitivity of the PanbioTM COVID-19 Ag Rapid Test ranged from 29.63% (95% CI: 13.75 to 50.18) among COVID-19 asymptomatic patients, to 87.5% (95% CI: 52.91 to97.76) among symptomatic patients with symptom onset time of 1-5 days. Similarly, the PanbioTM COVID-19 Ag Rapid Test specificity was 97.3% (95% CI: 90.58 to 99.67) and 96.4% (95% CI: 91.81 to 98.82) in symptomatic and asymptomatic RT PCR negative patients. The PanbioTM COVID-19 Ag Rapid Test shows good performance in detecting COVID-19 cases in patients with a symptom onset time of less than seven (7) days. This performance is even better when the symptom onset is reduced to five (5) days. The results show that the antigen RDT is not suitable for COVID-19 detection among asymptomatic patients.

Analysis of the diet of obese elementary school students using various dietary intake survey methods

Purpose: Childhood obesity has become a social problem due to the social distancing necessitated by the coronavirus disease 2019 pandemic. This study aimed to identify the dietary problems of obese children through various dietary assessment methods and to confirm the usefulness of each method. Methods: The subjects were 88 students in the 4th to 6th grade of elementary school who participated in the nutrition camp organised by the Busan Metropolitan Office of Education, 2020. To evaluate dietary problems and assess diet quality, 24-hour meal records, monthly food intake frequency, and Dietary Screening Test (DST) data were analyzed. Results: Of the subjects, 15.7%, 30.3%, and 53.9% were normal weight, overweight, and obese, respectively. The average age was 11.77 +or- 0.77 years and the average body mass index was 23.96 +or- 3.01 kg/m2. It was observed from the 24-hour meal record method that the overweight and obese subject groups consumed fewer green vegetables (p < 0.001) and white vegetables (p < 0.01) than the normal weight group. In the monthly food intake frequency method, the consumption of ramen (p < 0.01), snacks (p < 0.05), and sausages (p < 0.05) were high in the obese group, and that of anchovies, broccoli, and sweet pumpkin was high in the normal group (p < 0.05). The comparative data from the DST revealed that the overweight and obese groups had less vegetable intake than the normal weight group (p < 0.01) and had higher intakes of dairy products, fast food, and sweet snacks (p < 0.05). Conclusion: The usefulness of each method in the dietary evaluation of obese children was confirmed. To address the problem of obesity, it is necessary to evaluate the dietary problem and approach it with a customized solution tailor-made for the individual subject.

43rd World Congress of Vine and Wine, Ensenada, Mexico, 31 October-4 November 2022

These proceedings contain over 100 articles discussing the latest developments and challenges facing the vine and wine industry, focusing on 4 major themes such as viticulture, oenology, economy and law, and safety and health. Specific topics discussed include the adaptation and optimization of viticultural resources, the characterization of different microclimate to improve grape quality, the validation of new oenological techniques, and the resilience of the wine sector after the COVID-19 pandemic. Other topics included the impact of climate change on viticulture, the market competitiveness of the wine sector, and public health aspects wine consumption.

Triclosan and related compounds in the environment: Recent updates on sources, fates, distribution, analytical extraction, analysis, and removal techniques.

Triclosan (TCS) has been widely used in daily life because of its broad-spectrum antibacterial activities. The residue of TCS and related compounds in the environment is one of the critical environmental safety problems, and the pandemic of COVID-19 aggravates the accumulation of TCS and related compounds in the environment. Therefore, detecting TCS and related compound residues in the environment is of great significance to human health and environmental safety. The distribution of TCS and related compounds are slightly different worldwide, and the removal methods also have advantages and disadvantages. This paper summarized the research progress on the source, distribution, degradation, analytical extraction, detection, and removal techniques of TCS and related compounds in different environmental samples. The commonly used analytical extraction methods for TCS and related compounds include solid-phase extraction, liquid-liquid extraction, solid-phase microextraction, liquid-phase microextraction, and so on. The determination methods include liquid chromatography coupled with different detectors, gas chromatography and related methods, sensors, electrochemical method, capillary electrophoresis. The removal techniques in various environmental samples mainly include biodegradation, advanced oxidation, and adsorption methods. Besides, both the pros and cons of different techniques have been compared and summarized, and the development and prospect of each technique have been given.

Structural characterization and anti-inflammatory activity of fucoidan isolated from Ecklonia maxima stipe

Enzyme-assisted hydrolysis is frequendy used as a cost-effective and efficient method to obtain functional ingredients from bioresources. This study involved die enzyme-assisted hydrolyzation and purification of fucoidan from Ecklonia maxima stipe and die investigation of its anti-inflammatory activity in lipopolysaccharide (LPS)-induced RAW 264.7 cells. Fucoidans of Viscozyme-assisted hydrolysate from E. maxima (EMSFs) harvested in Jeju, Korea. Structural and chemical characterizations were performed using fourier transform infrared spectroscopy, scanning electron microscope, and monosaccharide analysis. Among fucoidans, EMSF6 was rich in fucose and sulfate and had a similar structural character to commercial fucoidan. EMSF6 showed a strong inhibitory effect on nitric oxide generation in LPS-induced RAW 264.7 cells and significantly decreased die production of LPS-induced pro-inflammatory cytokines, including interleukin-6, interleukin-1 p, and tumor necrosis factor a. The anti-inflammatory potential of EMSF6 was mediated through the down-regulation of inducible nitric oxide synthase and cyclooxygenase-2 expression. Thus, fucoidans from&temppound;. maxima stipe are promising candidates for functional food products.

Disabled-Friendly Public Spaces in Covid 19 Pandemic: Improving Service Facilities and Accessibility based on the User‘s Perception in Alun-Alun Batu City

An inclusive and easily accessible public space, including for persons with disabilities, is one of the goals contained in the SDGs by 2030. The Batu City Government has tried to create a friendly public space by providing facilities and utilities that make it easier for people with disabilities to access it seen on Alun-Alun Batu. The ongoing covid 19 pandemic causes limited visits to Alun-Alun Batu and affects the condition of existing facilities. This research aims to develop the concept of facilities and accessibility based on the perception of disabled users. The analytical methods in this research are the perception assessment of disabled users with IPA analysis and the conformity assessment method according to the current pandemic conditions. The results show that out of 16 facilities, half of the facilities are in unsuitable condition and other facilities are not suitable for disabled users. The priority of upgrading facilities are objects in quadrants I IPA which consists of toilets, traffic parks, carousel, and gazebos/smoking areas. The second priority is facilities located in quadrant II such as parking lots, playgrounds, Ferris wheels, and offices. And the third priority is for facilities located in quadrant III IPA such as dancing fountains, stage performances, seats, rubbish bin, and tourism information.

The utilization of 'Jogja Pass' mobile application as an effort to prevent the spread of COVID-19 in Special Region of Yogyakarta

In order to respond to the increasing number of COVID-19 cases, the government created the Jogja Pass mobile application for screening and tracing as well as supporting the implementation of smart city in Special Region of Yogyakarta. This study aims to identify the utilization of the Jogja Pass, analyze the impact of the Jogja Pass in handling COVID-19, and identify obstacles in the utilization of the Jogja Pass for the application development purposes. This study employed quantitative descriptive and qualitative descriptive methods. The primary data were obtained from in-depth interviews with relevant institutions and through questionnaires to the public. The secondary data were obtained through recapitulation of application data. The results indicated that the users of the Jogja Pass are spread throughout the region of Yogyakarta and it is used at 113 public area points. The Jogja Pass has positive impact on the users and becomes one of the SOPs for health protocols in several public areas. The obstacles in the development of the Jogja Pass include limited human resources and funds, dishonesty of users in filling out the screening test, and the Jogja Pass has been taken down from the Android Play Store.

Perception of the COVID-19 effects in face-to-face and distance education in Peruvian university students

The pandemic caused many changes due to social distancing, one of them is in terms of virtual university classes. Therefore, the objective was to validate an instrument that measures the perception of the effects of COVID-19 on distance education in university students of health sciences and other careers in Peru. An instrumental and cross-sectional study was carried out. Thousands of distance learning students from health sciences and other careers participated during the first wave of the Coronavirus. The survey on the perception that it has of the repercussions caused by the health emergency on face-to-face and distance education was designed and validated;in addition, another scale was exploratory to measure the perception of the spread of the coronavirus. The analysis showed high reliability and good internal consistency, with adequate Cronbach's alpha values. For the Exploratory Factor Analysis (EFA), the Bartlett test and the Kaiser-Meyer-Olkin coefficient were used. All the items received a favorable evaluation by the experts (Aiken's V> 0.70);this with respect to relevance, representativeness and clarity. Three virtual average factors were identified, their use and presence, all saturation indices were greater than 0.50. The survey proved to be reliable and representative, this above all because it was evaluated in students from the different Peruvian departments;which can be used to evaluate this in diverse similar populations.

Indices of Borg dyspnea and perceived CRM in persistent COVID-19 patients with pulmonary hypertension

The SARS-CoV-2 that causes the COVID-19 disease, clinically ranges from mild flu-like episodes to other serious and even life-threatening, especially due to acute respiratory failure, regardless of the severity the acute course can be overcome, however, the persistence of symptoms or multi-organ symptom complex, called persistent COVID. Among these persistent symptoms is respiratory distress. A descriptive, observational and cross-sectional study was carried out in 29 people diagnosed with persistent COVID-19 plus comorbidity pulmonary hypertension, between 2019 and 2021. The Borg dyspnea scales were applied at rest and by stress test Walk test in 6;and the Medical Research Council dyspnea scale. IFB B categorizes between 0 and 2 and high R2 (0.7993) explains the perception of respiratory discomfort that appears with activity levels that do not normally cause this type of discomfort (daily activity), and can be weighted by the level of activity necessary for it to be triggered. Both scales have validity, reliability, specificity, sensitivity and predictive value for the use that has been established, easy to use and understand.

Advances in spectral techniques for detection of pathogenic microorganisms

The highly contagious viral illness Coronavirus disease 2019, caused by severe acute respiratory syndrome coronavirus-2, has led to nearly 5 million deaths worldwide. The detection of highly infectious pathogens or novel pathogens causing emerging infectious diseases is highly challenging. Encouragingly, spectral detection-including laser-induced fluorescence spectroscopy, infrared absorption spectroscopy, Raman spectroscopy and their combinations-has been broadly used to detect pathogenic microorganisms on the basis of their physical and chemical characteristics. Surface-enhanced Raman spectroscopy with labels can detect organisms at a minimum concentration of 3 cells/mL. The changes in cells' biochemical reactions before and after polioviral infection can be detected by Fourier transform infrared spectroscopy. However, the sensitivity and specificity of different spectral detection categories differs, owing to their different detection principles. Flexible detection methods require interdisciplinary researchers familiar with both pathogen biology and instruments. This review summarizes the advances in spectral techniques used in detecting pathogenic microorganism.