Cremated Human Remains from Point of Pines, Arizona: A New Approach

1967 ◽  
Vol 32 (4) ◽  
pp. 498-506 ◽  
Author(s):  
Charles F. Merbs
Keyword(s):  
Human Remains ◽  
Human Populations ◽  
New Approach ◽  
Human Osteology ◽  
Skeletal Anomalies ◽  
Biological Studies ◽  
The Future ◽  
Discrete Traits ◽  
Traditional Approaches ◽  
And Storage

AbstractThe traditional approaches of comparative human osteology have proven largely unsatisfactory in attempts to determine biological relationships among human populations which cremated their dead. However, one category of information, that of discrete traits or skeletal anomalies, has been largely ignored. Cremations from Point of Pines, Arizona, were analyzed to determine if this kind of information, along with that usually sought from skeletal material, could be obtained in sufficient quantity to make comparative biological studies feasible. The results were encouraging, but they indicate that extraordinary care will be required in the future excavation and storage of cremated material.

scholarly journals Wheat Grinding Process with Low Moisture Content: A New Approach for Wholemeal Flour Production

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 32
Author(s):  
Waleed H. Hassoon ◽  
Dariusz Dziki ◽  
Antoni Miś ◽  
Beata Biernacka
Keyword(s):  
Particle Size ◽  
Moisture Content ◽  
Average Particle Size ◽  
Average Particle ◽  
Grinding Process ◽  
Mixing Properties ◽  
New Approach ◽  
Grain Moisture ◽  
Flour Production ◽  
And Storage

The objective of this study was to determine the grinding characteristics of wheat with a low moisture content. Two kinds of wheat—soft spelt wheat and hard Khorasan wheat—were dried at 45 °C to reduce the moisture content from 12% to 5% (wet basis). Air drying at 45 °C and storage in a climatic chamber (45 °C, 10% relative humidity) were the methods used for grain dehydration. The grinding process was carried out using a knife mill. After grinding, the particle size distribution, average particle size and grinding energy indices were determined. In addition, the dough mixing properties of wholemeal flour dough were studied using a farinograph. It was observed that decreasing the moisture content in wheat grains from 12% to 5% made the grinding process more effective. As a result, the average particle size of the ground material was decreased. This effect was found in both soft and hard wheat. Importantly, lowering the grain moisture led to about a twofold decrease in the required grinding energy. Moreover, the flour obtained from the dried grains showed higher water absorption and higher dough stability during mixing. However, the method of grain dehydration had little or no effect on the results of the grinding process or dough properties.

scholarly journals A new investigative strategy to diagnose β-thalassemia syndrome in past human populations

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Filippo Scianò ◽  
Barbara Bramanti ◽  
Emanuela Gualdi-Russo
Keyword(s):  
Diagnostic Tool ◽  
Human Remains ◽  
Definitive Diagnosis ◽  
Bone Lesions ◽  
Human Populations ◽  
Evaluation Form ◽  
Skeletal Lesions ◽  
Clinical Cases

AbstractThe study of thalassaemia syndromes in archeological human remains is of growing interest in the field of paleopathology. However, a definitive diagnosis of the disease in skeletonized individuals remains difficult. Several non-specific bone lesions have been suggested as the most likely evidence of β-thalassaemia syndrome. In particular, skull lesions have been considered by several scholars as the most indicative of this hematopoietic disorder, while other authors have identified postcranial lesions as the best evidence of β-thalassemia. In this study, we reviewed the main features that have been identified in β-thalassaemia patients thanks to an extensive bibliographic research of clinical cases, radiological and microscopic analyses. Our aim was to discern between those skeletal lesions that can be considered “indicative/diagnostic” and those that are “indicative/non-diagnostic” of β-thalassaemia syndrome. With this knowledge, we developed a new evaluation form (Eva-BeTa) and tested it on previously published archeological cases. Based on our results, we believe that Eva-BeTa can be a valid diagnostic tool for the identification of ancient individuals potentially affected by β-thalassemia for further genetic confirmation.

Improved estimation is a prerequisite for successful terminal guidance

2005 ◽  
Vol 219 (2) ◽  
pp. 145-156 ◽  
Author(s):  
J Shinar ◽  
V Turetsky
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Estimation Errors ◽  
New Approach ◽  
Target Acceleration ◽  
The Future ◽  
New Ideas ◽  
Estimation System ◽  
Terminal Guidance

Successful interception of manoeuvring anti-surface missiles that are expected in the future can be achieved only if the estimation errors against manoeuvring targets can be minimized. The paper raises new ideas for an improved estimation concept by separating the tasks of the estimation system and by explicit use of the time-to-go in the process. The outcome of the new approach is illustrated by results of Monte Carlo simulations in generic interception scenarios. The results indicate that if an eventual ‘jump’ in the commanded target acceleration is detected sufficiently rapidly, small estimation errors and consequently precise guidance can be obtained.

Fault Identification in Non-Stationary Systems Based on Sliding Mode Observers

2021 ◽  
Vol 22 (12) ◽  
pp. 625-633
Author(s):  
A. V. Zuev ◽  
A. N. Zhirabok ◽  
V. F. Filaretov ◽  
A. A. Protsenko
Keyword(s):  
Canonical Form ◽  
Sliding Mode ◽  
Original System ◽  
Matching Condition ◽  
Observer Design ◽  
Fault Identification ◽  
New Approach ◽  
Minimal Dimension ◽  
Sliding Mode Observers ◽  
Traditional Approaches

The paper is devoted to the problem of fault identification in technical systems described by non-stationary nonlinear dynamic equations under unmatched disturbances. To solve the problem, sliding mode observers are used. The suggested ap- proach is based on the model of the original system of minimal dimension having different sensitivity to the faults and distur- bances in contrast to the traditional approaches to sliding observer design which are based on the original system. Additionally it is assumed that matrices describing such a model have the canonical form and are constant. The main purpose of using such a model is possibility to take into account the non-stationary feature of the systems. As a result, the model has stationary dynamic and non-stationary additional term that allows to promote sliding mode design. Besides, the new approach to design sliding mode observers is suggested. The peculiarity of this approach is that it does not require that original systems should be minimum phase and detectable. According to the traditional approaches stability of the observer is provided by minimum phase and detectability properties. In our approach, stability of the observer is achieved due to the canonical form of the matrices describing the model. In addition, the matching condition is not necessary. This allows to extend a class of systems for which sliding mode observers can be designed. Theoretical results are illustrated by practical example of electric servoactuator.

scholarly journals Brain Cancer Prediction Based on Novel Interpretable Ensemble Gene Selection Algorithm and Classifier

Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1936
Author(s):  
Abdulqader M. Almars ◽  
Majed Alwateer ◽  
Mohammed Qaraad ◽  
Souad Amjad ◽  
Hanaa Fathi ◽  
...  
Keyword(s):  
Gene Selection ◽  
Ensemble Methods ◽  
Cancer Classification ◽  
Biological Information ◽  
Gradient Boosting ◽  
New Approach ◽  
Biological Studies ◽  
Abnormal Cells ◽  
Gene Selection Algorithm ◽  
Gene Expression Levels

The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor is crucial for the prognosis and treatment of the patient. Data from cancer microarrays typically include fewer samples with many gene expression levels as features, reflecting the curse of dimensionality and making classifying data from microarrays challenging. In most of the examined studies, cancer classification (Malignant and benign) accuracy was examined without disclosing biological information related to the classification process. A new approach was proposed to bridge the gap between cancer classification and the interpretation of the biological studies of the genes implicated in cancer. This study aims to develop a new hybrid model for cancer classification (by using feature selection mRMRe as a key step to improve the performance of classification methods and a distributed hyperparameter optimization for gradient boosting ensemble methods). To evaluate the proposed method, NB, RF, and SVM classifiers have been chosen. In terms of the AUC, sensitivity, and specificity, the optimized CatBoost classifier performed better than the optimized XGBoost in cross-validation 5, 6, 8, and 10. With an accuracy of 0.91±0.12, the optimized CatBoost classifier is more accurate than the CatBoost classifier without optimization, which is 0.81± 0.24. By using hybrid algorithms, SVM, RF, and NB automatically become more accurate. Furthermore, in terms of accuracy, SVM and RF (0.97±0.08) achieve equivalent and higher classification accuracy than NB (0.91±0.12). The findings of relevant biomedical studies confirm the findings of the selected genes.

scholarly journals THE IMPLEMENTATION OF INDIGENOUS KNOWLEDGE IN PRESERVING UNIVERSITAS INDONESIA LIBRARY’S MANUSCRIPTS

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Deka Anggawira ◽  
Tamara Adriani Salim
Keyword(s):  
Data Collection ◽  
Indigenous Knowledge ◽  
Direct Observation ◽  
Qualitative Approach ◽  
Storage Process ◽  
Structured Interviews ◽  
Traditional Approaches ◽  
Maintenance Process ◽  
And Storage ◽  
Collection Methods

This study discusses the implementation of local wisdom in the preservation of manuscripts at Universitas Indonesia’s library. The purpose of this study is to identify the implementation of local wisdom in the preservation of manuscripts in that library. This research uses a qualitative approach coupled with direct observation and structured interviews as data collection methods. The results of this study indicate that Universitas Indonesia Library has implemented local wisdom in preserving manuscripts. This can be seen from the use of local wisdom in the storage process, including the design of the rooms and storage facilities and the pattern of behavior in its storage process. The maintenance process of local wisdom includes the control of the environment using traditional approaches and the use of traditional materials in the maintenance of manuscripts. Another finding is that the process of capturing or inheriting knowledge from a previous manuscript is based on the manpower manifested in its preservation behavior. Therefore, it can be understood that the implementation of local wisdom in the process of preservation of manuscripts in UI Library is based on the preservation of knowledge from previous manuscript managers or librarians.

Serverless, FaaS and why organizations need them

2021 ◽  
pp. 1-14
Author(s):  
Irina Astrova ◽  
Arne Koschel ◽  
Marc Schaaf ◽  
Samuel Klassen ◽  
Kerim Jdiya
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Software Architectures ◽  
Service Platform ◽  
New Approach ◽  
The Real ◽  
Operational Costs ◽  
The Future ◽  
Depth Study ◽  
Cloud Service Platform

This paper is aimed at helping organizations to understand what they can expect from a serverless architecture in the future and how they can make sound decisions about the choice between microservice and serverless architectures in the present. A serverless architecture is a new approach to offering services in the cloud. It was invented as a solution to the problem that many organizations are facing today – about 85% of their servers have underutilized capacity, which is proved to be costly and wasteful. By employing the serverless architecture, the organizations get a way to eliminate idle, underutilized servers and thus, to reduce their operational costs. Many cloud providers are now jumping to the serverless world because they know it is going to be the future of software architectures. However, being a new approach, the serverless architecture is still relatively immature – it is in the early stages of its support by cloud service platform providers. This paper provides an in-depth study about the serverless architecture and how to apply FaaS in the real world.

Asset of the Future - Comprehensive Business Transformation Program

2021 ◽  
Author(s):  
Alexander Sitnikov ◽  
Sergei Doktor ◽  
Andrei Margarit
Keyword(s):  
Oil And Gas ◽  
Energy Transition ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Average Return ◽  
Debt Capital ◽  
Timely Response ◽  
The Future ◽  
Return On Capital ◽  
Traditional Approaches

Abstract In the recent years the oil and gas industry has started facing an unprecedented number of challenges. The average return on capital in the industry has deteriorated which results in investor mistrust and costs being higher than ever. Debt capital became two times costlier than for alterative types of energy. More conventional oilfields become depleted and new reserves are usually quite complex to develop. These and other challenges such as intense competition between oil and gas companies, the energy transition agenda as well as the volatility of oil prices in the aftermath of the pandemic are pushing the O&G companies to transform themselves. Gazprom Neft introduced the "Asset of the Future" program in late 2018 as a timely response which was aimed at completely transforming the Upstream business model. The main issue with the transformation was the scale of it, which included 10 subsidiaries (or subs) and more than 200 different processes. In this case traditional approaches such as improving each operation one by one would not suffice as the company sought a rapid and highly efficient implementation of changes. As such the program had to develop a new approach that focused on the integration of all business parts and continuous improvement. Integration of people, technology and processes will lead to better collaboration and as a result - to smarter decisions and better execution.

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