Consistency Index Values Research Articles

Evaluating Feature Impact Prior to Phylogenetic Analysis Using Machine Learning Techniques

The purpose of this paper is to describe a feature selection algorithm and its application to enhance the accuracy of the reconstruction of phylogenetic trees by improving the efficiency of tree construction. Applying machine learning models for Arabic and Aramaic scripts, such as deep neural networks (DNNs), support vector machines (SVMs), and random forests (RFs), each model was used to compare the phylogenies. The methodology was applied to a dataset containing Arabic and Aramaic scripts, demonstrating its relevance in a range of phylogenetic analyses. The results emphasize that feature selection by DNNs, their essential role, outperforms other models in terms of area under the curve (AUC) and equal error rate (EER) across various datasets and fold sizes. Furthermore, both SVM and RF models are valuable for understanding the strengths and limitations of these approaches in the context of phylogenetic analysis This method not only simplifies the tree structures but also enhances their Consistency Index values. Therefore, they offer a robust framework for evolutionary studies. The findings highlight the application of machine learning in phylogenetics, suggesting a path toward accurate and efficient evolutionary analyses and enabling a deeper understanding of evolutionary relationships.

Digital Leadership of School Administrators under the Jurisdiction of the Sakon Nakhon Secondary Educational Service Area Office

Background and Aims: The world changes in the 21st century to a fully digital era. As a result, school management must inevitably use technology as a tool to support teaching and learning. Schools in this century have undergone significant changes in many areas, such as the nature of knowledge. Learner's role and the role of the teacher. This is something that school administrators need to have the ability to understand and to support these changes. This research has the following objectives: 1) to study the digital leadership level of educational institution administrators under the Sakon Nakhon Secondary Educational Service Area Office. 2) To compare the digital leadership of educational institution administrators under the Sakon Nakhon Secondary Educational Service Area Office. Classified by position Work experience and the size of the educational institution. 3) To study methods for developing digital leadership of educational institution administrators under the Sakon Nakhon Secondary Educational Service Area Office. Methodology: The sample used in this research consisted of 331 school administrators and teachers. The sample size was determined according to Krejci and Morgan's table. and used the random sampling method. The research instrument was a questionnaire with a 5-level rating scale. Which has a consistency index value in the range of 0.80 - 1.00 and a reliability value for all questionnaires equal to 0.86. Statistics used in data analysis include frequency, percentage, mean, standard deviation, T-value and F-value tests. Results: The results of the research found that: (1) A study of the level of leadership in the digital age of administrators of educational institutions under the Sakon Nakhon Secondary Educational Service Area Office. Overall and in each aspect are at a high level. (2) Results of comparing opinions about leadership in the digital age of administrators of educational institutions under the Sakon Nakhon Secondary Educational Service Area Office. Classified by position Work experience and the size of the educational institution Overall and in each aspect, no differences were found. (3) Guidelines for promoting and developing leadership in the digital age of administrators of educational institutions under the Sakon Nakhon Secondary Educational Service Area Office consist of 5 areas: 1) having a modern leadership vision, 2) developing creativity, 3) paying attention to the needs of teachers and students, 4) increasing the efficiency of working together, and 5) promoting to have knowledge and ability. Conclusion: The study found that educational administrators in Sakon Nakhon demonstrate strong leadership in the digital age across all areas, with no significant differences based on position, experience, or institution size. It also emphasizes five key strategies for improving leadership: cultivating a modern vision, creativity, attention to stakeholder needs, collaboration, and ongoing skill development.

Techno-functional properties and enhanced consumer acceptance of whipped fermented milk with Ficus carica L. By-products

The development of new fermented milks formulations enriched with fruit by-products may widen the existing market offer of products matching consumer demands on novel, and “no artificial added sugars” products. Unmarketable fig fruit, food by-product, could be considered as a potential ingredient to develop a new dairy product. The aim of this study was to study the consumer acceptance of fermented milk enriched with different percentage of pasteurized fig purée (by-products) and their technological properties. It was found that the quantity of fig puree added influenced fermented milks texture and spontaneous syneresis. Formulations containing 40% fig puree showed the highest values of firmness, consistency, cohesiveness, and viscosity index with improvements seen from 20% fig puree addition. Furthermore, the inclusion of fig puree in fermented milks reduced the levels of lactic acid bacteria comparing with control samples, but the microbial load was higher than 106 UFC g−1 LAB (estimated counts in MRS) and 9 UFC g−1 LAC (estimated counts in M17). Polyphenolic content increased with fig puree percentage, enhancing antioxidant activity. Volatile compound analysis identified hexanoic acid, acetoin, and butanoic acid as predominant in enriched fermented milks. It is also worth highlighting that sensory evaluation revealed better ratings for texture and sweetness acceptance in formulations containing 30% and 40% of fig puree, correlating with instrumental data. Overall, the quality parameters were maintained and even improved, leading to high consumer acceptability ratings.

Rheological and osteogenic effect of Agaricus blazei Murill polysaccharides on composite hydrogels based on HPMC/graphene oxide – A preliminary study

This study aimed to prepare and preliminarily characterize the potential bone restorative effect of composite hydrogels based on hydroxypropylmethylcellulose (HPMC), graphene oxide (GO), and polysaccharides from Agaricus blazei Murill mushroom (PAb). The chemical composition and morphology of the biomaterials were analyzed using FTIR, XRD, SEM, and EDS. Rheological tests were conducted on the hydrogels to assess their flow properties for in vivo application and product stability. Cytotoxicity assays were performed using the GO (1 – 100 µg mL–1) against human neutrophils. Additionally, an in vivo tooth extraction test was carried out by applying HPMC hydrogels containing GO and PAb directly into the alveoli to enhance oral bone restoration. The rheological behavior of the hydrogels followed the Ostwald de Waele model (R² > 0.99), with flow index (n) values below 1.0, indicating a pseudoplastic behavior. Furthermore, the consistency index (k) values increased with the addition of GO and PAb, suggesting a more complex structure, and altered flow behavior at lower shear rates. In the MTT assay, GO exhibited low cytotoxicity towards human neutrophils, maintaining cell viability above 95.0 % even at high concentrations. For the in vivo study, a bisphosphonate-induced osteonecrosis model was used to assess bone tissue healing through macroscopic and radiographic analyses. A significant improvement was observed in the reduction of bone tissue loss in rats treated with the hydrogels compared to the negative control (ZA group). These findings indicate that composite hydrogels containing HMPC/GO/PAb have the potential to be used as biomaterials for mitigating bone loss.

Construction and validation of a nomogram for predicting the prognosis of breast cancer patients who received adjuvant therapy: an analysis based on the SEER database.

Breast cancer is the most common malignant tumor in women globally. Despite advances in primary treatment, the role of adjuvant therapy in reducing recurrence and improving survival is critical; however, there is a notable lack of tailored prognostic models for patients receiving adjuvant therapy. This study used the Surveillance, Epidemiology, and End Results (SEER) database to develop a prognostic nomogram for breast cancer patients receiving adjuvant therapy. The data of breast cancer patients who received adjuvant therapy after surgery in 2014-2015 were extracted from the SEER database. Univariate Cox regression identified significant prognostic variables that were further refined by least absolute shrinkage and selection operator (LASSO) regression and cross-validation analyses. These variables were incorporated into a multivariate Cox regression analysis to establish the predictive model. This model was visualized and validated using various statistical measures. A total of 54,960 patients were included in the study, with 38,472 in the training set and 16,488 in the validation set. Age, sex, race, marital status, grade, tumor (T) stage, lymph node (N) stage, subtype, and radiotherapy were found to be significant independent risk factors of 1-, 3-, and 5-year overall survival (OS). The receiver operating characteristic curve area for 1-, 3-, and 5-year OS was >0.76 in both sets. The consistency index values were 0.768 and 0.763 for the training and validation sets, respectively. The calibration curves showed good fit, and the nomogram exhibited substantial clinical utility. Incorporating various significant factors, the constructed nomogram was able to effectively predict the prognosis of breast cancer patients who received adjuvant therapy. This nomogram extends understandings of complex prognosis scenarios. In addition, it could enhance personalized treatment plans and assist in patient counseling.

Risk factor analysis and establishment of a nomogram model to predict blood loss during total knee arthroplasty

PurposeThe risk factors for excessive blood loss and transfusion during total knee arthroplasty (TKA) remain unclear. The present study aimed to determine the risk factors for excessive blood loss and establish a predictive model for postoperative blood transfusion.MethodsThis retrospective study included 329 patients received TKA, who were randomly assigned to a training set (n = 229) or a test set (n = 100). Univariate and multivariate linear regression analyses were used to determine risk factors for excessive blood loss. Univariate and multivariate logistic regression analyses were used to determine risk factors for blood transfusion. R software was used to establish the prediction model. The accuracy and stability of the models were evaluated using calibration curves, consistency indices, and receiver operating characteristic (ROC) curve analysis.ResultsRisk factors for excessive blood loss included timing of using a tourniquet, the use of drainage, preoperative ESR, fibrinogen, HCT, ALB, and free fatty acid levels. Predictors in the nomogram included timing of using a tourniquet, the use of drainage, the use of TXA, preoperative ESR, HCT, and albumin levels. The area under the ROC curve was 0.855 (95% CI, 0.800 to 0.910) for the training set and 0.824 (95% CI, 0.740 to 0.909) for the test set. The consistency index values for the training and test sets were 0.855 and 0.824, respectively.ConclusionsRisk factors for excessive blood loss during and after TKA were determined, and a satisfactory and reliable nomogram model was designed to predict the risk for postoperative blood transfusion.

A comparative study on the rheological properties of concentrated xanthan gum in combination with gum arabic or gum arabic-based emulsion

A goal of this study is to explore the difference in rheological properties of xanthan gum (XG)-based mixtures with gum arabic (GA) or GA-based emulsion (GAE). The stability of GAE was improved by thickening with XG. The intrinsic viscosity of all mixtures decreased as GA concentration increased, implying an XG conformational transition from the disordered to the ordered form. All mixtures except for an XG-GA mixture at 6.0 % GA attained a higher consistency index value than XG alone, indicating synergistic interactions between the components. At a high GA concentration (>3.0 %), the XG-GAE mixture showed higher relative apparent viscosity values than the XG-GA mixture. All mixtures except for an XG-GA mixture at 6.0 % GA showed higher elastic modulus and lower viscous modulus values than XG alone. Consequently, all mixtures showed lower tan δ values (0.26–0.30) than XG alone (0.31). Moreover, with a high GA concentration (>1.5 %), the XG-GAE mixtures achieved lower relative tan δ values than XG-GA mixture. These results indicate that XG formed a higher weak gel-like network with GAE than GA. Overall, the findings demonstrate that the interaction between XG and GA is influenced by conformational changes in the latter in both aqueous and emulsion systems.

Rheological and sensorial behavior of tomato product enriched with pea protein and olive powder

In this study, a new functional product using Mediterranean ingredients (tomato, tomato peel powder and olive powder) was formulated where two different concentrations of protein (1 and 2%) and peel (2 and 4%) were tested. Olive powder was kept at a constant concentration of 2%. Physico-chemical, Rheological, and Sensorial analysis were carried out on the formulated samples. Soluble protein content was found as the highest in the sample containing 4% peel and 2% protein and it was affected by the pH and tomato peel concentration. Rheological results reveal shear-thinning behavior, as defined by the Herschel-Bulkley model, with protein and peel concentrations having a major influence on yield stress and viscosity. A positive trend was noticed between apparent viscosity and peel concentration, meantime protein concentration affected apparent viscosity adversely. Contrary relation between consistency index (k) values and apparent viscosity illustrate the complex interaction between protein and peel, particularly at higher concentrations. Furthermore, Principal Component Analysis (PCA) was used to investigate the complicated sensory landscape of tomato products with different quantities of pea protein and tomato peel. While higher tomato peel and protein levels have no direct impact on rheological qualities, they do add to astringency and sourness, which influences overall acceptability. Remarkably, the sample with the greatest quantities of peel and protein exhibits a delicate balance, with a loss in perceived tomato taste intensity and overall acceptability offsetting an increase in astringency. In terms of overall acceptability, the most preferred beverage was selected as the sample formulated with 2% peel and 1% protein.

Importance of geotechnical soil properties for precision Forest activities in a karst area

Some soil behaviors change significantly as water content varies over time. The particle size distribution of soils has a direct impact on mechanical properties such as soil water content, resistance to dispersion, swelling-shrinkage, fluidity, plasticity, and stickiness. This study was conducted to investigate the usability of Atterberg limits, consistency index and coefficient of linear extensibility (COLE) in the temporal planning of ecosystem restoration activities such as silvicultural interventions, tillage, afforestation, and the construction of forest roads, etc. Surface soil samples were collected from the sections numbered 263, 264, 266, 268, 317, 318, 319, 323, 324,325 and 366 of the degraded forest of the Andırın forestry operations department. The COLE, liquid limit (LL), plastic limit (PL), plasticity index and consistency index values of soil samples were determined. The LL values ranged from 17.5 to 62.4%, the PL values from 8.2 to 46.8% and the PI values from 6.4 to 15.5. The highest COLE value (0.13) was recorded in the section 318, while the lowest COLE value (0.03) was in section 325.The LL and PL values have a positive linear relationship with clay and organic matter content. All sections have karstic characteristics, but the mechanical characteristics of the soils differ significantly between the sections. Silvicultural interventions carried out especially in section 318, which had the lowest consistency index (Ic = 0.70), and sections 263, 264, 317 and 319, where the consistency index is >2,should take mechanical properties into account, and the planting time intervals should be determined, accordingly for sustainable forestry.

Effect of hydrodynamic cavitation processing on orange juice physicochemical and nutritional properties

Effect of hydrodynamic cavitation (HC) processing on pH, °brix, separation index, viscosity and color properties, retention of nutritional bioactive compounds (Vitamin-C, total phenolics, and antioxidant), and inactivation of enzyme pectin methyl esterase (PME) in freshly expressed juice from Brazilian oranges was investigated. HC at 4 bar pressures with a treatment time of 0, 10, 20, 30, 40, 50, 60, and 90 min at low temperatures (42 °C) were studied. There was no significant change in the values of pH, and TSS was noted in HC-treated juices. Further decreased flow behavior index while increased values of flow consistency index were recorded for the juice treated with HC showing a significant physical modification of the juice. Degradation and loss in vitamin C and total phenolics were observed when juices were HC-treated for a longer time. Therefore, it was concluded that HC could be used as a non-thermal method for improving the stability and physicochemical properties of Brazilian orange juice.

Effect of microwave treatment on technological, physicochemical, rheological and microstructural properties of mango (Mangifera indica) kernel starch variety Tommy and Sugar

Mango is a tropical fruit used in various agricultural food products. The purpose of the research was to analyze the application of microwave treatment on the, technological, physicochemical, thermal, morphological, pasting, and rheological properties of mango kernel starch from the varieties Tommy and Sugar. The microwave treatment at 900 W and 1 min was evaluated. After microwave treatment, the water absorption capacity (WAC) and amylose content increased significantly, being the highest values for the microwave-modified starch of mango var Tommy (To-MW). The Fourier transform infrared (FT-IR) spectroscopy results show that microwave treatment does not modify the chemical structure of starch. The rheological behavior showed that microwave-modified starches have higher values of consistency index and yield stress than native starches. The pasting test showed that the microwave treatment did not modify the pasting temperature of the mango kernel starch, while the peak, setback, breakdown and final viscosity showed a significant increase. The results obtained show that the application of microwave treatment increases the rheological and pasting properties of mango kernel starches without modifying their chemical composition, which is of great interest for its application in the formulation of new products in the food industry.

Rheological and functional characteristics of starch and flour on different drying methods from Beneng Taro as sustainability products from agricultural in Banten

Beneng Taro is a type of taro found in Banten agricultural but has not been appropriately utilized. The drying process is critical since temperature changes will result in various properties. This research aimed to evaluate the rheology and functional characteristics of starch and flour made from Beneng Taro dried in the sunlight and hot air as sustainability products of it. This research contains the extraction of starch, the production of flour, and characterizing the starch and flour produced. The rheological characteristics of the flour and starch from the can be model using the Herschel-Bulkley. Starch and flour showed non-Newtonian shear-thinning flow characteristics, according to the flow behavior index. The difference in the consistency index value of flour is significant, where flour dried with sunlight shows a higher value. Both starch and flour show a sharp decrease in viscosity at low shear rates. The value of the starch and flour’s swelling power shown that cabinet drying was superior to drying outdoors in the sun. The solubility index undergoes the same phenomenon. In contrast to water and oil holding capacity, sun drying shows a higher value. Knowing the characteristics of the starch and flour produced can be applied as a food source.

Rheological Study of Formate (Nacl) and Ethylene Glycol Based Drilling Fluid Using MATLAB

Non-Newtonian models are used in describing the rheology of drilling fluids. Models, such as Power Law, Bingham Plastic, and the Hershel-Buckley model are used to predict drilling fluid behaviour. Selection of the best rheological model that accurately represents the shear stress-shear rate data is optimal in determining fluid use and predicting realistic rheological behaviour. This research is aimed at studying the best rheology model to fit collected data from sodium chloride (NaCl) and ethylene glycol (EG) based drilling fluid. The assessment utilized a total of ten sets of experimental viscometry data from laboratory-formulated drilling fluid samples A to J with the varying volume of formate sodium chloride (NaCl) and ethylene glycol (EG). Using Equations relating shear rates to shear stress, MATLAB non-linear regression approach was used to determine the best of the three rheological models to fit the experimental. The Root square (R2), Adjusted Root square (Adj R2), and Root Mean Square Error (RMSE) were used in determining the goodness of fit and degree of deviation of the experimental data. data. High concentrations of both NaCl and ethylene glycols in the formulation provide a better shear rate shear stress fit. Although the ethylene glycol presence may have account for the improved fit, as Sample E, F and G despite containing high volume of the formate NaCl, the data where not effectively fitted by the models. From the results, the power law model was the least suitable with an R2 value of 0.881-0.956, Adj R2 83-96%, and a poor RSME in the range 2-9. The Herschel-Bulkley model showed an improved fit for the fluids with an R2 0.897-0.973, Adj R287- 98%, and a better RSME <3. this model also shows a good shear thinning behaviour from its three parameter consistency (n) index values. The Bingham plastic model best fits the rheology of the drilling fluid data R2 0.93-0.99, Adj R2 93-98%, and RSME of <2.

The Effect of Application of Different Doses of Acid Mixture Seed Coating Method on Cotton (Gossypium hirsutum L.) Yield and Fiber Technological Characteristics

This study was carried out to determine the effects of different rates of seed coating of an organic acid mixture (citric acid, glutamate, and proline) on the yield and technological characteristics of cotton (Gossypium hirsutum L.). Before seeding, cotton seeds were coated with an organic acid mixture product [0.75% citric acid, 0.25% glutamate, 0.25% proline, and 98.75 inert ingredients (water)], in six different doses (500, 1000, 1500, 2000, and 2500 cc) to compare with control (uncoated). Seed cotton yield, fiber yield, plant height, number of monopodial branches, number of sympodial branches, number of nodes of the first fruiting branch, number of bolls per plant, boll weight, boll seed cotton weight, first picking percentage, 100 seeds weight, fiber fineness, fiber length, fiber strength, fiber elongation, fiber uniformity ratio, short fiber index, fiber yellowness (+ b), fiber reflectance (Rd) and spinning consistency index (SCI) values were examined. The results of statistical analysis indicated that there were significant differences between treatments in terms of seed cotton yield, fiber yield, boll weight, boll seed cotton weight, first picking percentage, and the number of nodes of the first fruiting branch, while there was a non-significant association in terms of other examined observations and fiber technological characteristics. The highest seed cotton yield was obtained from 1500 cc application doses as 5073.80 kg ha-1 which was 19,78% (838.00 kg ha-1) higher than that of the control (4235.80 kg ha-1). In conclusion in light of the information obtained from this study, a remarkable increase in yield was obtained as a result of coating the cotton seeds with the product containing organic acid mixtures (citric acid, glutamate, and proline) at different doses. For this reason, it was concluded that it may be recommended to cover the seeds with the aforementioned mixtures before sowing.

EVALUATION OF QUALITY PARAMETERS IN COTTON PRODUCTION (Gossypium hirsutum L.) UNDER WATER STRESS CONDITIONS

Decreasing water availability for cotton production has compelled researchers to engage in studies about rising water use efficiency by improving water management. The impacts of different irrigation levels on the fibre qualities of drip-irrigated cotton were evaluated in Diyarbakir, Southeast Anatolia Region of Turkiye. Three cotton varieties, ‘Stoneville 468’ (ST 468), ‘FiberMax 832’ (FM 832), and ‘Kartanesi’, and three levels of irrigation were tested in 2017 and 2018. Treatments were I 50 (50% water stress), I 75 (25% water stress), and the fully irrigated treatment I 100, which was obtained from Class-A pan evaporation. According to the two-year results of the study, water stress caused a decline in fineness, length, strength, elongation, uniformity ratio, and spinning consistency index (SCI) values of fibre, while fibre yellowness and short fibre ratio values increased. Fibre brightness was not affected by water stress. There were significant differences among varieties concerning quality parameters. FM 832 has come to the fore with regard to fibre fineness, length, strength, uniformity, yellowness, reflectance, and spinning consistency index.

Improved Flowability and Wettability of Whey Protein-Fortified Skim Milk Powder via Fluidized Bed Agglomeration.

Recently, protein-fortified milk powders are being widely consumed in Korea to prevent sarcopenia, and the demand for high-protein food powders is continuously increasing in the Korean market. However, spray-dried milk proteins have poor flowability and wettability owing to their fine particle sizes and high inter-particle cohesive forces. Fluidized bed agglomeration is widely used to improve the instant properties of food powders. This study investigated the effect of fluidized bed agglomeration on whey protein isolate (WPI)-fortified skim milk powder (SMP) at different SMP/WPI ratios. The fluidized bed process increased the particle size distribution, and agglomerated particles with grape-like structures were observed in the SEM images. As the size increased, the Carr index (CI) and Hausner ratio (HR) values of the agglomerated WPI-fortified SMP particles exhibited excellent flowability (CI: <15) and low cohesiveness (HR: <1.2). In addition, agglomerated WPI-fortified SMP particles exhibited the faster wetting time than the instant criterion (<20 s). As a result, the rheological and physical properties of the WPI-fortified SMP particles were effectively improved by fluidized bed agglomeration. However, the fluidized bed agglomeration process led to a slight change in the color properties. The CIE L* decreased, and the CIE b* increased because of the Maillard reaction. The apparent viscosity (ηa,10) and consistency index (K) values of the rehydrated solutions (60 g/180 mL water) increased with the increasing WPI ratio. These results may be useful for formulating protein-fortified milk powder with better instant properties.

Analyzing the Employability Skills of Engineering Graduates using AHP Techniques - A Case Study of Kerala State in India.

In the present era, only competent graduates can survive in the global economy. The Washington accord suggested twelve graduate attributes essential for competent engineering graduates. Various accreditation agencies measure the competency of engineering graduates in terms of these graduate attributes. This paper presented the perception of academicians’ and industry professionals’ regarding the most important skill needed for a competent engineering graduates. Also, the paper discussed how far the present undergraduate engineering curriculum prepares the engineering graduates to be industry ready. Identification of the most important skill needed for engineering graduate is done by employing one of the multi criteria decision method called Analytical hierarchy process (AHP). AHP incorporates several criteria and order of preference in evaluating and selecting the best option among many alternatives based on the desired outcome. The responses from academicians as well as industry professionals from Civil Engineering stream in Kerala, India were collected. The criteria weights were determined based on the procedure given by Saaty. The consistency index values reinforced the reliability of judgment. The study showcased that problem solving skill and teamwork are the most important skill needed for an engineering graduate from academicians’ viewpoint. According to industry professionals, engineering knowledge is more important than problem solving skills. Also, in the present study academicians and industry professionals unanimously suggested the revision of curriculum, internships for students, the collaboration between academicians and industry professionals both in academia and industry, exposure of students to real world problems are some of the means to develop competency in Civil Engineering graduates.

Textural and rheological properties of mulberry leather (pestil) produced with whole grain flours

This research aimed to determine the effects of different levels (6, 9%) of starch, wheat flour, wheat bran and whole grain flours (oat, barley, rye and wheat) on the textural and rheological properties of the mulberry leather (pestil). The highest hardness, consistency, cohesiveness and viscosity index values were determined in the mixture sample (an intermediate product in the pestil production) which containing starch, while the lowest values were determined in the samples containing wheat bran. Mixture samples containing both 6% and 9% wheat bran had generally the lowest elastic (G′) and viscous (G″) modulus values, while starch containing herle samples showed significantly higher modulus values compared to other flours. Changes in the rheological properties of the mixture samples were generally reflected in the pestil samples similarly. In general, hardness, cohesiveness and chewiness from Texture Profil Analyses (TPA) parameters of pestil samples increased with the increase of the amount of added starch, wheat bran and whole grain flours while adhesiveness decreased. With the increase in the flour level included in the formulation, the relaxation time value increased in the pestil samples containing starch and oat flour. While the breaking force values of all samples increased with the increase in the flour level added to the pestil formulations the extensibility values a general decrease occurred. In conclusion, because the flours used in the production of pestil have significant and different effects on the textural properties, while producing pestil with high fiber content using whole grain flours, it is possible to provide the desired textural properties by adjusting the addition level.

Improving Source location privacy in social Internet of Things using a hybrid phantom routing technique

The amalgamation of Smart IoT and Machine learning is an emerging research area. In this context, a new trend in IoT called Social IoT has been considered for this study. The Social IoT has benefits of connectivity exhibited within the network of connected objects through the Internet of Things (IoT). It covers the entire world and provides innovative services to improve life standards, establishes novel businesses, and makes buildings and cities. Certain smart things allow the collection of ubiquitous data or traffic, which pose a threat to source location privacy. Therefore, it limits the source of the Internet of Things vision if implemented wrongly. These threats come along with some challenges, adversary profiles, and the location privacy of personal data. When they are used to monitor important assets, the attacker can easily hunt the location of these assets. However, the source location constitutes a way to prevent the adversary from finding the location of the source. This research has used a hybrid phantom method by combining the phantom node and multi-path route that improves privacy and reduces the consumption of energy. The Analytic Hierarchal Process (AHP) is used for phantom node selection, based on parameters such as energy, distance, heterogeneity, and neighbor list. The result shows the average consistency value of the parameters is 4.2 and the consistency index value is 0.066. The overall priority of the alternative node is 2.089 as compared to other nodes. The sum of the vector weight value is obtained as 4.845. The total average energy consumption is 1.211 J and the average safety period capture ratio is 59.41%. The proposed techniques overwhelmed the deficiencies in existing techniques, reduces energy consumption improves the safety period and increases the network lifetime.

Geological and Geotechnical Investigations to Detected Foundation Parameters for Some New Urban Areas, Sohag Governorate, Egypt

The study area is located in Upper Egypt as a part of the Sohag Governorate. In this study, the engineering geological properties for soil deposits of three new urban areas in the southwestern part of the Sohag Governorate are discussed and evaluated based on a field survey of soil boring, geotechnical experiment and petrographical examination. The studied area is covered by Quaternary and Pliocene deposits and composed mainly of gravely sand, silty sand, silty clay, clayey silt and rocks. Twenty-three sections, forty-two soil samples and three thin sections were studied. The depth of these samples ranges between land surface and up to 10 meters below underground. The geotechnical tests for the collected soil samples were performed to determine their physical, and mechanical characteristics (grain size distribution, specific gravity, and water content, bearing capacity, free swell and Atterberg limits). From the results, the grain size analysis proved that, the arenaceous sediments (average MZ=1.75Φ) falling in the medium sand grade. Mineralogical studies of X-ray diffraction examination of the collected samples reveal, the argillaceous deposits are composed mainly of montmorillonite, kaolinite and illite. The free swell test is ranging from 20 to 130% indicate that, some of the studied clay samples are high expansive. Thus, these soils are not suitable to direct foundation due to high swelling properties, which have a dangerous effect on the buildings. The liquid limit results range from 13 to 72%, the values of the plastic limit range from 9.8 to 32 % while the values of the shrinkage limit range from 9.3% to 25%. The values of the liquidity index range from 0.06 to -1.60. The liquidity index of studied samples is semi plastic or solid. The values of consistency index of the studied samples range from 0.65 (very stiff) to 2.59 (extremely stiff). The effective friction angle (Ф) ranges from 33.5° to 34.8°. The ultimate bearing capacity for different friction angles of the studied samples are ranging from 1312.2kN/m2 to 1533kN/m2. So, this type of soil is suitable for direct foundation.