Proper Experimental Parameters in N2 Adsorption: The Effects of Data Points and Equilibrium Interval Time

Author(s):  
Kouqi Liu ◽  
Zhijun Jin ◽  
Natalia Zakharova ◽  
Lianbo Zeng ◽  
Adedoyin Adeyilola ◽  
...  
Toxins ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 466
Author(s):  
Usman Rasheed ◽  
Qurat Ul Ain ◽  
Muhammad Yaseen ◽  
Sayantan Santra ◽  
Xiaohua Yao ◽  
...  

Blueberry (BB) and cherry pomace were investigated as new biosorbents for aflatoxins (AFs) sequestration from buffered solutions, gastrointestinal fluids and model wine. Among the tested biosorbents, BB exhibited the maximum adsorption performance for AFs and hence was further selected for the optimization of experimental parameters like pH, dosage, time and initial concentration of AFs. Material characterizations via scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, N2 adsorption-desorption isothermal studies, thermogravimetric analysis (TGA) and X-ray photon spectroscopy (XPS) techniques revealed useful information about the texture and chemical composition of the biosorbents. The fitting of isothermal data with different models showed the model suitability trend as: Sips model > Langmuir model > Freundlich model, where the theoretical maximum adsorption capacity calculated from the Sips model was 4.6, 2.9, 2.7 and 2.4 mg/g for AFB1, AFB2, AFG1 and AFG2, respectively. Kinetics study revealed the fast AFs uptake by BB (50–90 min) while thermodynamics studies suggested the exothermic nature of the AFs adsorption from both, single as well as multi-toxin buffer systems, gastrointestinal fluids and model wine. Accrediting to the fast and efficient adsorption performance, green and facile fabrication approach and cost-effectiveness, the newly designed BB pomace can be counted as a promising contender for the sequestration of AFs and other organic pollutants.


Author(s):  
Zenji Horita ◽  
Ryuzo Nishimachi ◽  
Takeshi Sano ◽  
Minoru Nemoto

Absorption correction is often required in quantitative x-ray microanalysis of thin specimens using the analytical electron microscope. For such correction, it is convenient to use the extrapolation method[l] because the thickness, density and mass absorption coefficient are not necessary in the method. The characteristic x-ray intensities measured for the analysis are only requirement for the absorption correction. However, to achieve extrapolation, it is imperative to obtain data points more than two at different thicknesses in the identical composition. Thus, the method encounters difficulty in analyzing a region equivalent to beam size or the specimen with uniform thickness. The purpose of this study is to modify the method so that extrapolation becomes feasible in such limited conditions. Applicability of the new form is examined by using a standard sample and then it is applied to quantification of phases in a Ni-Al-W ternary alloy.The earlier equation for the extrapolation method was formulated based on the facts that the magnitude of x-ray absorption increases with increasing thickness and that the intensity of a characteristic x-ray exhibiting negligible absorption in the specimen is used as a measure of thickness.


1997 ◽  
Vol 78 (02) ◽  
pp. 855-858 ◽  
Author(s):  
Armando Tripodi ◽  
Veena Chantarangkul ◽  
Marigrazia Clerici ◽  
Barbara Negri ◽  
Pier Mannuccio Mannucci

SummaryA key issue for the reliable use of new devices for the laboratory control of oral anticoagulant therapy with the INR is their conformity to the calibration model. In the past, their adequacy has mostly been assessed empirically without reference to the calibration model and the use of International Reference Preparations (IRP) for thromboplastin. In this study we reviewed the requirements to be fulfilled and applied them to the calibration of a new near-patient testing device (TAS, Cardiovascular Diagnostics) which uses thromboplastin-containing test cards for determination of the INR. On each of 10 working days citrat- ed whole blood and plasma samples were obtained from 2 healthy subjects and 6 patients on oral anticoagulants. PT testing on whole blood and plasma was done with the TAS and parallel testing for plasma by the manual technique with the IRP CRM 149S. Conformity to the calibration model was judged satisfactory if the following requirements were met: (i) there was a linear relationship between paired log-PTs (TAS vs CRM 149S); (ii) the regression line drawn through patients data points, passed through those of normals; (iii) the precision of the calibration expressed as the CV of the slope was <3%. A good linear relationship was observed for calibration plots for plasma and whole blood (r = 0.98). Regression lines drawn through patients data points, passed through those of normals. The CVs of the slope were in both cases 2.2% and the ISIs were 0.965 and 1.000 for whole blood and plasma. In conclusion, our study shows that near-patient testing devices can be considered reliable tools to measure INR in patients on oral anticoagulants and provides guidelines for their evaluation.


Author(s):  
Uppuluri Sirisha ◽  
G. Lakshme Eswari

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.


Author(s):  
Ryan Ka Yau Lai ◽  
Youngah Do

This article explores a method of creating confidence bounds for information-theoretic measures in linguistics, such as entropy, Kullback-Leibler Divergence (KLD), and mutual information. We show that a useful measure of uncertainty can be derived from simple statistical principles, namely the asymptotic distribution of the maximum likelihood estimator (MLE) and the delta method. Three case studies from phonology and corpus linguistics are used to demonstrate how to apply it and examine its robustness against common violations of its assumptions in linguistics, such as insufficient sample size and non-independence of data points.


1979 ◽  
Vol 7 (1) ◽  
pp. 3-13
Author(s):  
F. C. Brenner ◽  
A. Kondo

Abstract Tread wear data are frequently fitted by a straight line having average groove depth as the ordinate and mileage as the abscissa. The authors have observed that the data points are not randomly scattered about the line but exist in runs of six or seven points above the line followed by the same number below the line. Attempts to correlate these cyclic deviations with climatic data failed. Harmonic content analysis of the data for each individual groove showed strong periodic behavior. Groove 1, a shoulder groove, had two important frequencies at 40 960 and 20 480 km (25 600 and 12 800 miles); Grooves 2 and 3, the inside grooves, had important frequencies at 10 240, 13 760, and 20 480 km (6400, 8600, and 12 800 miles), with Groove 4 being similar. A hypothesis is offered as a possible explanation for the phenomenon.


Author(s):  
LAKSHMI PRANEETHA

Now-a-days data streams or information streams are gigantic and quick changing. The usage of information streams can fluctuate from basic logical, scientific applications to vital business and money related ones. The useful information is abstracted from the stream and represented in the form of micro-clusters in the online phase. In offline phase micro-clusters are merged to form the macro clusters. DBSTREAM technique captures the density between micro-clusters by means of a shared density graph in the online phase. The density data in this graph is then used in reclustering for improving the formation of clusters but DBSTREAM takes more time in handling the corrupted data points In this paper an early pruning algorithm is used before pre-processing of information and a bloom filter is used for recognizing the corrupted information. Our experiments on real time datasets shows that using this approach improves the efficiency of macro-clusters by 90% and increases the generation of more number of micro-clusters within in a short time.


Author(s):  
А.С. Рыбалко ◽  
А.С. Григорьян ◽  
А.А. Орлов

Цель исследования состояла в разработке неинвазивного метода диагностики состояния тканей периимплантационной зоны после постановки дентальных имплантатов, а также прогноза течения послеоперационного периода и ранней диагностики послеоперационных осложнений, таких, как мукозит и периимплантит, при одноэтапном методе дентальной имплантации. Методы. В исследовании представлена цитологическая характеристика отпечатков из области контакта имплантата с десной, в которых оценивали состояние эпителиальных клеток при различных проявлениях цитопатологии. Определяли индекс деструкции (ИД) и воспалительно-деструктивный индекс (ВДИ) в клетках воспалительного инфильтрата, которые сопоставляли с клинической картиной течения послеоперационного периода. Сроки забора цитологического материала 1, 5, 15, 25, 30, 60, 120 дней после постановки имплантатов. Количество исследованных цитограмм - 442 от 11 пациентов (по 1-2 имплантата). Общий массив использованных для вычисления интегральных показателей составил »2550. Результаты. Было установлено, что в сроки 1-5 дней после постановки дентальных имплантатов происходит резкое повышение показателей ИД (до 7500 ± 15) и ВДИ (до 80 ± 20), что отражает процесс развития в области имплантатов острых воспалительных реакций. В отдаленные сроки наблюдений отмечалось 2 варианта развития событий. Первый из них характеризовался сохранением во все сроки высоких показателей ИД и ВДИ. Для второго варианта динамики показателей было характерно их падение, что соответствовало развитию процесса остеоинтеграции дентальных имплантатов. The objectives of the investigation were to develop protocols evaluating the validity and effectiveness of the cytological method for diagnosis and prognosis of tissue conditions adjacent to a dental implant. Methods. This study examined the cytological characteristics of imprints of the gingiva-implant contact area, a. the correlation of quantitative ratios of epithelial cells either with or without hystopathological manifestations (an index of destruction, ID); b. ratio of cells of the inflammatory infiltrate (an inflammatory and destructive index, IDI); these data were researched in relation with dynamics of the clinical pictures during a postoperative period.The cytological material was obtained 1, 5, 15, 25, 30, 60, 120 days after dental implantation. Totally 442 cytogramme from 11 patients (1-2 implant per a patient) were assayed. The data array for computation of integrated indicators was composed of ca. 2550 data points. Results. A significant increase of ID (7500 ± 15) and IDI (80 ± 20) indicators, which reflects the development of acute inflammatory reactions in tissues neighboring an implant, was observed within 1-5 days following the insertion of dental implants. Long-term observations revealed two scenarios. The first scenario was characterized by the retention of high levels of ID and IDI over the period of observations. The second scenario featured the reduction of ID and IDI indices, which corresponded to the development of the osseointegration of dental implants.


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