Archives-j 

A Study on moisture management properties for Polyester with Bamboo Biply knitted fabrics has been reported. The polyester (80 D), Bamboo yarn (30s and 40s Ne) were selected to produce the Biply rib knitted fabrics with various areal density, thickness and tightness factors to analyze the moisture management properties of fabrics. It was observed that polyester with bamboo Biply knitted fabrics have higher air permeability than the polyester with cotton Biply knitted fabric. It is also observed that there is a significant difference between water vapour permeability of polyester with bamboo and polyester with cotton Biply knitted fabrics. It is also found that the polyester with bamboo knitted fabric has better wicking rate than the polyester with cotton Biply knitted fabrics. This Polyester with Bamboo Biply knitted fabrics materials can be used to prepare the composite materials.

This study carried out the morpho-agronomic characterization and nutritional analysis of 9 cultivars of sweet potato (Ipomoea batatas L.) in Kisangani, Democratic Republic of Congo. The experimental design was that of randomized blocks, comprising 9 treatments of sweet potato cultivars (Carrot, Damu, Elengi, Mugande, Muganderva, Monde, Mambokolo, Kandolo and Kilomo) and 4 replications. The treatments were installed on ridges of 2.5 m length and 0.5 m width. It was obtained, the cultivars with tuber of pink color (Mambokolo, Kilomoya, Elengi and Monde); light green (Kandolo, Damu); white of diamond (Mugande); chocolate with coverage of the ground by the biomass is total for the cultivars Elengi, Mungade and chocolate (Mugande) and beige (Carrot). The shapes of the leaves, round (Mambokolo); obovate (Kandolo, Elengi); elliptic (Damu, Kilomoya); oval (Mugande) and irregular (Carrot, Muganderva and Monde). As for the unit weight of the tubers, the cultivars Mambokolo (3.35kg) and Elengi (3.5kg) performed well at 5 months of cultivation and the nutritional parameters showed that the cultivars Elengi, Kandolo and Carrot are richer in crude protein respectively 4.56; 1.43 and 0.75%.

To present an unusual case of Multiple primary malignant neoplasms and to describe the steps we followed to evoke each diagnosis trying to reveal an underlying genetic disorder and to discuss the best strategy of treatment of our patient. We describe the work-up, diagnosis, and treatment course of a 50-year-old woman who presented with papillary thyroid carcinoma, parathyroid adenoma, pulmonary adenocarcinoma and pheochromocytoma. The tumor involvement of the parathyroid and the adrenal gland led us to think about NEM2 syndrome. Instead of medullary thyroid cancer which is invariably present in NEM2 syndromes, our patient presented a papillary thyroid cancer. We could think that the total thyroidectomy that have been performed in our patient could have prevented the appearance of a medullary thyroid carcinoma. The possibility of carrying out a DNA sequencing with research of germline RET mutation could have been very interesting to determine if this case can be considered as an unusual MEN 2A syndrome. Tumor DNA sequencing has a major role to determine molecular characteristics in different tumors and research eventual common biomolecular abnormalities, which can provide a genetic counseling.

This study presents a novel natural convection process. A prototype of an indirect solar dryer, with its collector made of hemispherical concentrators had been realized and studied with the idea of obtaining higher temperature in the drying chamber, and this with a steady non tracking collector. The patented collector is based on the hot-spot theory. Measurements had been conducted for all critical period of the year. The result seemed conclusive with temperature improvement in steady non tracking collectors, and suggests further investigation of the hot-spot theory, by conceiving a mathematical model and by deepening the experiment outcomes for a best thermodynamic study.

The study involves twenty-four (12) yearling West African Dwarf Goats. The goats were assigned randomly to three treatments viz: Cnidoscolus-Poultry Manure-Multinutrient Blocks (CPMNB), Cnidoscolus-Urea-Multinutrient Blocks (CUMNB) and control consisting of Panicum maximum and cassava peels. Each treatment consists of eight goats as replicates. They were adequately fed and provided with fresh and clean water. The hematological parameters and nutrient digestibility as influenced by the three treatments were evaluated. The Packed Cell Volume (PCV) value for goats fed the experimental multinutrient blocks ranged from 25.25 + 1.25% in CUMNB to 20.25 + 2.25% in CPMNB and that of the control diet was 19.90 + 1.59%. The red blood cell varied from 545 + 116.0x106 mm-1 in CUMNB to 335 + 64.0 x 106 mm-1 in CPMNB with control having the value 222.58 +25.61 x106mm-1. The White Blood Cell (WBC) was highest in CUMNB (263.5 + 1.65 x 103 mm-1), followed by CPMNB (151.5 + 10.8 x103 mm-1 ) while the least value was recorded in the goat fed control diet (137.9 + 2. 75 x103mm-1). The haemoglobin concentration (HBC) was lowest in goats fed the control diet (5.92 + 0.18g 100 mm-1). The Monocytes (%) value for CUMNB was the highest (6.4 + 0.6), followed by CPMNB (5.0 + 0.00) and the control treatment has the least value (4.90 + 0.42) The Eosinophils (%) values varied from 2.0 + 0.25 in CUMNB to 1.83 + 0.17 in control treatment. The goats fed control diet showed the least values for the haemological variables. The percent digestible nutrient and coefficient of digestibility in the feed showed that goats fed supplemental Cnidoscolus- based multinutrient blocks had better nutrient utilization. Thus better rumen digestion and haematological performance than goats fed diet of Panicum- cassava peels ration.

Cumulative Grade point average (CGPA) is a commonly used indicator for academic performance among students in the Universities. Many factors could act as barriers to students in attaining and maintaining a high CGPA that reflects their overall academic performance during their stay in the University. Such factors include test anxiety, time management, test competence, academic competence, study techniques, Lecturer teaching method, peer group, health, learning environment, parental background etc. In this study, a sequential procedure is used to model a combination of daily average reading hour and daily average sleeping hour to maximize students’ CGPA. The design for this study is stratified sampling scheme with department as the ultimate sampling unit. A Sample of 200 students was randomly selected. The questionnaire for the research contained information on students’ CGPA, daily average reading hour and daily average sleeping hour. SPSS software package was used to produce summary statistics. A second order response surface model (SORSM) was constructed from the data to determine various combinations of daily average reading hour and daily average sleeping hour that will make students to be in either good academic standing or not in good academic standing. The above SORSM was subjected to a canonical analysis to characterize the nature of stationary point of the model as well as to determine the daily average reading hour (x1) and daily average sleeping hour (x2) that maximize students’ CGPA. The model gives daily average reading hour (x1) to be 4 and daily average sleeping hour (x2) to be 5. Hence, the student’s maximum CGPA would be achieved if daily average reading hour (x1) is four and daily average sleeping hour (x2) is five after normal daily lectures.

The combustion process in Internal Combustion engines is greatly influenced by the fuel injected into the chamber and its interaction with the air. Investigation of which involves analyzing injection process from the structure point of view of the fuel spray. In addition, optimizing the spray conditions is highly important in reducing the exhaust emissions and improving the performance and combustion characteristics. The main objective is to optimize various parameters of spray for different blends of biodiesel and injection pressure mainly with respect to Sauter Mean Diameter (SMD), spray tip penetration and spray cone angle using concept of Taguchi and also identifying its contribution using analysis of variance commonly known as ANOVA with the help of ?Minitab 14.0? software where the optimum levels of parameters were found using higher Signal - Noise ratio. Based on the number of trials of experiments, spray images of biodiesel for the different combination of control factors were captured and analyzed. Furthermore performance, emission and combustion characteristics are compared by advancing as well as retarding the injection timing in existing Compression Ignition engine for the optimum condition obtained from the experiments conducted in spray chamber. The higher brake thermal efficiency is attained when it is retarded may be due to lower fuel consumption. Unburned hydro carbon is lower for KB20 due to unstable nature and simple molecular structure. Further, among all the blends KB20 can be considered to the best blend on the basis of spray characteristics.

Influenza A (H1N1) caused 18,449 deaths globally in 2009-2010 and 3,907 deaths in India from 2009- 2013. Pregnant women are at high risk. In June 2016, a pregnant woman tested H1N1-positive in Bhildeva village, Pali district, Rajasthan. We investigated to confirm and describe the outbreak, describe case management and response, and to make recommendations for prevention and control.We analyzed H1N1 January 2014-May 2016 data. We defined a suspect case as fever and cough between 15 May-15 June 2016 in a Bhildeva village resident and conducted active surveillance by house-to-house survey. We reviewed medical records and interviewed index case’s family. We compared and analyzed case management against government protocol. During January 2014- May 2016, Bhildeva village, Pali district had no H1N1 cases. We identified 21 suspect cases (attack rate: 6%); 13 (62%) were females, and 10 (47%) were relatives of index case. Median age was 22 years (range: 1-40 years). All had fever (21, 100%), cough (18, 86%), nasal secretion (6, 28%), head ache (5, 23%), body ache (2, 9%), and sore throat (1, 5%). All cases received prophylaxis, advised isolation, and demonstrated respiratory hygiene. Index case was a 24-year-old pregnant woman (23 week gestation, gravida 3) who received only one antenatal check-up at 12 weeks gestation. She initially visited two unqualified practitioners. Seven days after illness onset, she visited a private medical provider but died one week later. Three days before illness onset, she was exposed to a family member with respiratory illness.In June 2016, Pali district, Rajasthan had influenza A (H1N1) outbreak. Immediate response and case management as per protocol minimized transmission. Late diagnosis and management of high-risk index case probably contributed to death. Educate unqualified/qualified practitioners about detection, monitoring of symptomatic high-risk groups, and referral to reduce morbidity and mortality.

An extensive review conducted before this study, showed data limitation is the main constrain for multiple regression approach. Thus, new technique has been innovated through bit wear distribution over drilled interval depends on formation fingerprint. Field geological, drilling and logging data collected from three wells located in Blue Nile basin subjected to considerable concentrated analysis. Drilling rate predicted as a function of optimum weight on bit and rotation per minute using Bourgoyne and Young model. The Unknown Bourgoyne and Young coefficients have been determined. Correlations of multiple regressions using Statistica-12.5 software predict acceptable values of nine unknown coefficients. Hypothesis test of predicted coefficients showed over 95% confidence interval which simulated saving in time of drilling by 25%. Out comes was verified through Payzone drilling simulator via simulating actual field observations and re-simulate predicted ROP values. Results revealed the proficiency of predicted drilling rate values. The rate of penetration general equation constructed for each formation; then graphs produced for each formation individually depends on bit type and operational conditions.The methodology and out comes presented in this paper enable prediction of optimum penetration rates directly through accurately produced graphs that is during the well planning period for next wells to be drilled in Blue Nile Basin or other similar formations. This research offers new technique via distribution of drill bits dullness over drilled interval to overcome data limitation constrain. Together with qualitative and quantitative analysis of the optimized results that revealed high potentiality of new technique through both operation and economic benefits on drilling.

The phase change process for energy storage is a complex heat transfer phenomenon and the solidification and melting process make the charging and discharging process entirely a transient heat transfer process. Analytical solutions are not available to evaluate the temperature of the PCM during the charging and discharging process. Hence, numerical methods are to be adopted to solve the governing equations involved during this transient heat transfer phenomenon. Further, the correlations are developed using the results obtained from the regression analysis using the experimental results to provide simple solutions to the practicing engineers. In this study, heat transfer experiments were conducted under different levels of air flow rate, inlet temperature, charging and discharging time according to the central composite rotatable design matrix. Within the design space, heat transfer variables were optimized using response surface methodology (RSM) concept to the required PCM melting temperature and room temperature. Further, optimized results show that the minimum PCM melting temperature of 29.8 ºC and room temperature of 28.6 ºC are obtained at the mass flow rate of 0.06 kg/s, inlet temperature of 31.4 ºC, and discharging time 86 mins by optimizing process parameters.