Root architecture and rhizobial inoculation in relation to drought stress response in common bean (Phaseolus vulgaris l.)

The present study was aimed at assessing the root traits and rhizobial inoculation in relation to drought in common bean, Phaseolus vulgaris. Drought caused the largest decrease in shoot biomass followed by plant height, while an increase was recorded inroot/shoot ratio. Rhizobial inoculation caused largest increase in shoot biomass followed by root volume and root biomass and smallest increase in rooting depth. WB-216 and WB-185 had better rooting depth in all treatments. However, WB-83 (92.67) had highest rooting depth under irrigated conditions and SR-1 had highest rooting depth under irrigated conditions treated with rhizobium (108.50). Similarly, WB-216 had highest root/shoot ratio under drought (2.693) followed by WB-185 (1.285) while lowest value was recorded for Arka Anoop (0.373). In rhizobium treated drought condition, WB-216 recorded highest root/shoot ratio (5.540) followed by SFB-1 (1.967). Under irrigated conditions (both with and without rhizobium), WB-185 recorded highest root/shoot ratio while lowest was recorded for SR-1 (0.166). The mean squares due to root depth, root biomass and root volume were significant whereas the mean squares due to water and rhizobium were non-significant. Among interactions the genotype x water regime was significant for rooting depth (5 % level), genotype x rhizobia was significant for rooting depth and root volume (1 % level) and the interaction of genotype x water regime x rhizobium was significant for rooting depth, root biomass and root volume (1 % level). The results reinforce the need to further analyse the potential of other soil microbes in common bean rhizosphere in amelioration of the effects of water stress

Preculturing effect of thidiazuron on in vitro shoot multiplication and micropropagation round in Capparis decidua (Forsk.) an important multipurpose plant

An efficient protocol was developed for clonal multiplication of an important shrub: Capparis decidua (Forsk.) Edgew, through in vitro shoot induction and multiplication from nodal explants. Pretreatment of nodal explants in a liquid Murashige and Skoog (MS) medium augmented with various thidiazuron (TDZ) concentrations at relatively high levels (5–100 μM) for different time duration (4, 8, 12 and 16 d), proved a significant approach for in vitro shoot production. After an initial exposure time to TDZ, nodal explants were inoculated onto a MS basal medium devoid of TDZ for further induction and proliferation. The highest regeneration rate (85%), average number of shoots/explant (8.7 ± 0.22) and maximum shoot length (3.9 ± 0.33 cm) were obtained from the nodal explants exposed to 50 μM TDZ for 8 d. The nodal explants excised from the proliferated cultures of TDZ (50 μM) for 8 d were used as explants and showed an enhancement rate after next three round of in vitro propagation. Best results for rooting was obtained by ex vitro treatment of shoots with 200 μM indole-3-butyric acid (IBA) for 20 min. as it produced an average of 5.7 ± 0.41 roots per microshoot with 4.4 ± 0.39 cm root length in 84% shoots. Different planting substrates was tested for maximum survival of hardening off micropropagated plantlets and soilrite proved most effective than others as 97.1 ± 7.21 plantlets survived. All micropropagated plants grew well in natural conditions and showed similar morphology to the mother plant

Faktor Pada Remaja Muda Dan Tersedianya Media Informasi Hubungannya Dengan Perilaku Berisiko

Latar belakang: Remaja memiliki kecenderungan untuk melakukan perilaku berisiko yang dapat meningkatkan angka kesakitan dan angka kematian. Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan karakteristik individu yang meliputi umur, jenis kelamin, pendidikan, pekerjaan, status kawin serta sumber informasi yang terdiri dari tempat konseling, media dengan perilaku berisiko remaja seperti merokok, minum alkohol, mengkonsumsi obat terlarang/NAPZA dan hubungan seksual pranikah di Kelurahan Kebon Kalapa Kota Bogor tahun 2013. Metode: Desain penelitian cross-sectional dengan jumlah sampel sebanyak 90 orang yang dipilih dengan cara simple random sampling. Data dianalisis secara univariat dan bivariat. Hasil: Hasil penelitian ini menunjukan karakteristik individu yang berhubungan secara signifikan dengan perilaku berisiko remaja adalah umur, jenis kelamin dan status kawin. Responden kelompok umur 20-24 tahun berisiko 2,89 kali lebih besar untuk melakukan perilaku berisiko daripada responden kelompok umur 15-19 tahun, laki-laki mempunyai peluang 8,43 kali lebih besar untuk melakukan perilaku berisiko dibandingkan perempuan dan responden yang sudah kawin berpeluang 5,38 kali lebih besar untuk melakukan perilaku berisiko dibandingkan yang belum kawin. Kesimpulan: Sumber informasi belum dapat digambarkan secara bermakna hubungannya, akan tetapi responden yang tidak mengetahui tempat konseling sebanyak 92,2% orang

A novel method of early diagnosis of Alzheimer's disease based on EEG signals.

Studies have reported that electroencephalogram signals in Alzheimer's disease patients usually have less synchronization than those of healthy subjects. Changes in electroencephalogram signals start at early stage but, clinically, these changes are not easily detected. To detect this perturbation, three neural synchrony measurement techniques: phase synchrony, magnitude squared coherence, and cross correlation are applied to three different databases of mild Alzheimer's disease patients and healthy subjects. We have compared the right and left temporal lobes of the brain with the rest of the brain areas (frontal, central, and occipital) as temporal regions are relatively the first ones to be affected by Alzheimer's disease. Moreover, electroencephalogram signals are further classified into five different frequency bands (delta, theta, alpha beta, and gamma) because each frequency band has its own physiological significance in terms of signal evaluation. A new approach using principal component analysis before applying neural synchrony measurement techniques has been presented and compared with Average technique. The simulation results indicated that applying principal component analysis before synchrony measurement techniques shows significantly better results as compared to the lateral one. At the end, all the aforementioned techniques are assessed by a statistical test (Mann-Whitney U test) to compare the results

The chimpanzee GH locus: composition, organization, and evolution

In most mammals the growth hormone (GH) locus comprises a single gene expressed primarily in the anterior pituitary gland. However, in higher primates multiple duplications of the GH gene gave rise to a complex locus containing several genes. In man this locus comprises 5 genes including GH-N (expressed in pituitary) and four genes expressed in the placenta, but in other species the number and organization of these genes varies. The situation in chimpanzee has been unclear, with suggestions of up to seven GH-like genes. We have re-examined the GH locus in chimpanzee and have deduced the complete sequence. The locus includes five genes apparently organized in a similar fashion to those in human, with two of these genes encoding GH-like proteins, and three encoding chorionic somatomammotropins/placental lactogens (CSHs/PLs). There are notable differences between the human and chimpanzee loci with regard to the expressed proteins, gene regulation and gene conversion events. In particular, one human gene (hCSH-L) has changed substantially since the chimpanzee/human split, potentially becoming a pseudogene, while the corresponding chimpanzee gene (CSH-A1) has been conserved, giving a product almost identical to the adjacent CSH-A2. Chimpanzee appears to produce two CSHs, with potentially differing biological properties, whereas human produces a single CSH. The pattern of gene conversion in human has been quite different from that in chimpanzee. The region around the GH-N gene in chimpanzee is remarkable polymorphic, unlike the corresponding region in human. The results shed new light on the complex evolution of the GH-locus in higher primates

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers

The optimization and evaluation of a pattern recognition system requires different problems like multi-class and imbalanced datasets be addressed. This paper presents the classification of multi-class datasets which present more challenges when compare to binary class datasets in machine learning. Furthermore, it argues that the performance evaluation of a classification model for multi-class imbalanced datasets in terms of simple “accuracy rate” can possibly provide misleading results. Other parameters such as failure avoidance, true identification of positive and negative instances of a class and class discrimination are also very important. We, in this paper, hypothesize that “misclassification of true positive patterns should not necessarily be categorized as false negative while evaluating a classifier for multi-class datasets”, a common practice that has been observed in the existing literature. In order to address these hidden challenges for the generalization of a particular classifier, several evaluation metrics are compared for a multi-class dataset with four classes; three of them belong to different neurodegenerative diseases and one to control subjects. Three classifiers, linear discriminant, quadratic discriminant and Parzen are selected to demonstrate the results with examples

Prediction of Preterm Deliveries from EHG Signals Using Machine Learning

here has been some improvement in the treatment of preterm infants, which has helped to increase their chance of survival. However, the rate of premature births is still globally increasing. As a result, this group of infants are most at risk of developing severe medical conditions that can affect the respiratory, gastrointestinal, immune, central nervous, auditory and visual systems. In extreme cases, this can also lead to long-term conditions, such as cerebral palsy, mental retardation, learning difficulties, including poor health and growth. In the US alone, the societal and economic cost of preterm births, in 2005, was estimated to be $26.2 billion, per annum. In the UK, this value was close to £2.95 billion, in 2009. Many believe that a better understanding of why preterm births occur, and a strategic focus on prevention, will help to improve the health of children and reduce healthcare costs. At present, most methods of preterm birth prediction are subjective. However, a strong body of evidence suggests the analysis of uterine electrical signals (Electrohysterography), could provide a viable way of diagnosing true labour and predict preterm deliveries. Most Electrohysterography studies focus on true labour detection during the final seven days, before labour. The challenge is to utilise Electrohysterography techniques to predict preterm delivery earlier in the pregnancy. This paper explores this idea further and presents a supervised machine learning approach that classifies term and preterm records, using an open source dataset containing 300 records (38 preterm and 262 term). The synthetic minority oversampling technique is used to oversample the minority preterm class, and cross validation techniques, are used to evaluate the dataset against other similar studies. Our approach shows an improvement on existing studies with 96% sensitivity, 90% specificity, and a 95% area under the curve value with 8% global error using the polynomial classifier

Impact of Privatisation on Employment and Output in Pakistan

The paper aims to assess the impact of privatisation on employment and output in Pakistan. It uses edible oil and cement sectors as a case study in a pre- and post-privatisation comparative framework. Assessing the impact of privatisation in Pakistan is important at this juncture for two reasons. Firstly, the country is facing a severe economic crisis and privatisation forms an integral part of an array of reform measures recommended by multi-lateral donors as well as policy-makers within and without the country. Burki [(2000), p. 152] observes, “The economy and state of Pakistan are in crisis…. Pakistan has not faced a crisis of this magnitude in its entire 50-year history”. He refers to the five different crises that have combined to create this situation. These are: the global financial crisis, Pakistan’s short-term liquidity problem, economy’s structural weaknesses, severe social backwardness, and, finally, the crisis of governance. Burki (2000) suggests several solutions to the problems, and privatisation is one of the ways to restructure the economy and improve the quality of governance