A thermally bonded biodegradable fabric has been developed using mesta and polylactic acid fibers. The central composite rotatable design has been adapted to understand the effects of the independent ...variables, that is polylactic acid content, roller temperature and roller pressure on useful functional properties such as bursting strength, bending load, tensile stress relaxation, tensile creep, rate of absorption, absorption capacity, porosity, abrasion resistance, and surface friction. Considering the linear, quadratic, and two-way interactive effects of independent variables, the second-order polynomial has been suggested for each property which proves good association except for absorption capacity and abrasion resistance. The effect of independent parameters has been studied and optimized from contour diagrams. The optimized process parameters for 140 g/m2 fabric are polylactic acid content 30%, mesta content 70%, roller temperature 170°C, and roller pressure 150 N/cm2, which can be used successfully as a shopping bag. The shopping bag was prepared from developed fabric. Its performance test shows no deformation for up to 14 days in the hanging test, resistance up to 10 wetting-drying cycles proves reusability, it sustains up to four drops, and has a slight strength loss in 30 days of atmospheric exposure.
The functional properties of jute adhesive-bonded 120 g/m
2
nonwoven fabric were studied considering three process parameters, i.e. adhesive concentration, squeezing pressure, and curing temperature ...using central composite rotatable design considering the use of that fabric in disposable light-weight carry bag. Mathematical models have been proposed for each functional property. The models can be used to predict and discuss the properties satisfactorily. The contour diagrams help to design a jute adhesive-bonded fabric for carry bag. To get the optimum functional properties of 120 g/m
2
fabric, the process parameters was 20% adhesive concentration, 1.2 N/cm
2
squeezing pressure and 120°C curing temperature. Comparison with commercial fabric showed that the properties of the developed fabric are better for using as carry bag. The performance of the developed bag in hanging test, repeated wetting test, drop test, and atmospheric test is better compared to commercial plastic carry bag. The developed PVA bonded jute nonwoven disposable carry bags as compared to plastic carry bag are heavier in weight, costlier and prone to more moisture absorption not having any water-repellent/water proof character.
Banana fiber is a lingo-cellulosic under-exploited bast fiber, which obtained from the pseudo-stem of banana plant (Musa acuminata). In this study, an attempt has been made to explore the possibility ...of production of needle-punched nonwoven from fibrous material of biowaste for value addition and diversified uses. Mechanical processing for preparation of all banana, banana-jute (1:1), and banana-polypropylene (1:1) blended needle punched nonwoven has been optimized and processing parameters have been suggested. Softening treatment of banana fibre has been done successfully for better processing. Boiling in water with 1% nonionic detergent has been suggested as pre-processing for softening. Tenacity, elongation-at-break, initial modulus, breaking energy, stress relaxation, creep, compressibility, recovery-from-compression, bending load, electrical insulation, thermal insulation, sound insulation, air permeability, and frictional force have been evaluated and analyzed for all the above-mentioned samples. Based on those properties the probable use has been suggested as insulation (thermal and sound) and filter material.
Mesta bonded nonwoven of 120 g/m
2
with poly-vinyl alcohol was made using impregnation-squeezing - drying-curing method. The effect of three process parameters adhesive concentration, squeezing ...pressure and curing temperature on the add-on and mechanical properties of the fabric, i.e. tenacity, breaking elongation, initial modulus, energy-to-break, stress relaxation, creep, bursting strength and tearing strength, have been studied using 20 points central composite rotatable design. All these properties have a significant effect on the performance of fabric in different uses. Second-order polynomials have been proposed with a good correlation for all these properties. From these models and contour diagrams, the effects of different parameters on mechanical properties have been discussed elaborately. Moreover, the models can also predict the properties satisfactorily knowing the values of factors or parameters. The predicted value show good agreement with observed values. The information available from these models and subsequent contour diagrams regarding the interactions of parameters on properties are very much useful to design a mesta adhesive-bonded nonwoven fabric. The critical point must be taken care of for designing a fabric for particular end use. To get the optimum mechanical properties of 120 g/m
2
fabric, the process parameters will be 20% adhesive concentration, 1.2 N/cm
2
squeezing pressure and 120 °C curing temperature with the same experimental setup and other parameters.
Typically, the synthesis of phenanthrene-based polycyclic aromatic hydrocarbons relies on the Mallory reaction. In this approach, stilbene (PhCH&z.dbd;CHPh)-based precursors undergo an oxidative ...photocyclization reaction to join the two adjacent aromatic rings into an extended aromatic structure. However, if one C&z.dbd;C carbon atom is replaced by a nitrogen atom (C&z.dbd;N), the synthesis becomes practically infeasible. Here, we show the very first examples of a successful Mallory reaction on stilbene-like imine precursors involving the molecularly curved corannulene nucleus. The isolated yields exceed 90% and the resulting single and double aza4helicenes exhibit adjustable high affinity for electrons.
First azahelicene synthesis from corannulene-based imine precursors is presented.
Point mutations of α-globin genes in homozygous or in compound heterozygous states cause severe α-thalassemia (α-thal). Here we describe a polymerase chain reaction-restriction fragment length ...polymorphism-based method for easy detection of the point mutation Hb Sallanches α104(G11)Cys→Tyr, TGC>TAC, earlier detected by a sequencing technique. In a cohort of 104 unrelated putative α-thal patients, nine carried the mutation and two were homozygotes. The mutation occurred on both the α2- or α1-globin genes. The phenotypes, in conjunction with other point mutations or deletions, are presented. Earlier detected in Pakistan and Punjab of India, it is probably present all over the Indian subcontinent.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Markov logic is a rich language that allows one to specify a knowledge base as a set of weighted first-order logic formulas, and to define a probability distribution over truth assignments to ground ...atoms using this knowledge base. Usually, the weight of a formula cannot be related to the probability of the formula without taking into account the weights of the other formulas. In general, this is not an issue, since the weights are learned from training data. However, in many domains (e.g. healthcare, dependable systems, etc.), only little or no training data may be available, but one has access to a domain expert whose knowledge is available in the form of subjective probabilities. Within the framework of Bayesian statistics, we present a formalism for using a domain expert’s knowledge for weight learning. Our approach defines priors that are different from and more general than previously used Gaussian priors over weights. We show how one can learn weights in an MLN by combining subjective probabilities and training data, without requiring that the domain expert provides consistent knowledge. Additionally, we also provide a formalism for capturing conditional subjective probabilities, which are often easier to obtain and more reliable than non-conditional probabilities. We demonstrate the effectiveness of our approach by extensive experiments in a domain that models failure dependencies in a cyber-physical system. Moreover, we demonstrate the advantages of using our proposed prior over that of using non-zero mean Gaussian priors in a commonly cited social network MLN testbed.
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