Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Genotypes and Seed Production Environments on Seed Quality of Sesame (Sesamum indicum L)

Fourteen genetically diverse sesame ( Sesamum indicum L.) genotypes were grown under three diverse plant populations during 2001 and 2002 cropping seasons. Seeds from each harvest were subjected to different seed quality tests and data generated were analyzed. Seed quality traits were considerably affected by the genotypes and growing conditions i.e. plant population and cropping seasons. Genotypes with superior seed quality were prevalent at 166.667 and 266.667 plants ha -1 just as seed produced under them also had superior seed quality. Therefore these two plant populations could be used for good seed production of sesame genotypes under tropical conditions. despite their diverse genetic background. Genotype 73A-11 was among the best pelforming genotypes with consistently highest germination values. excess water stress germination (£WSG) and moderate field emergence. plumule length and seedling vigour and was closely followed by Yandev 55. 530-6-1. 73A-97 and C-K-2. A close relationship found among seed germination seedling vigour and field emergence indicated that both seedling vigour and field emergence could be improved by selecting seeds of high germination. Heritability and genetic advance results revealed that the five seed quality traits were highly heritable in almost all the environments and therefore offering unlimited scope for selection. Genotypes 73A-11. Yandev 55.530-6-1. 73A-97. £8 and C-K-2 could be used as seed producing parents to obtain hybrids with superior seed quality as well as improved seed yield. Incorporation of superior seed quality characteristics into improved sesame genotypes of tropical origin is highly practicable and recommended. Keywords: Genotypes. plant popUlation, seed production. seed quality. sesame Tanzania J.Agric. Sc . (2007) Vol. B No.2, 87-102
Fungal Populations and Species

BASIC MYCOLOGY 1. Elements of classification, structure, sexuality, biology and genetics of Fungi METHODOLOGY 2. Genetic markers for population studies I. Morphological, physiological and cytological markers 3. Genetic markers for population studies II. Molecular markers 4. Defining fungal individuals: ecological, biological and genetical aspects sampling 5. Describing and analysing populations: basic genetic and phylogenetic aspects PROCESSES IN POPULATIONS 6. The generation of variation I. Mutation and migration 7. The generation of variation II. The importance and diversity of inbreeding and outbreeding 7-Annexe Distinguishing between clones and recombinant populations 8. The generation of variation III. Heterokaryosis, parasexuality, hybridization and polyploidy 9. Change in gene frequency in fungal populations I. General considerations: selection for oligogenically determined traits 10. Change in gene frequency in fungal populations II. Natural selection for multigenically determined traits: competition and fitness 10-Annexe More complex approaches to estimating fitness in fungi SPECIES AND SPECIATION 11. Fungal species 12 Speciation in fungi
Strategies for reinforcing hygienic quality of table eggs.

This review describes different strategies which have been explored to reduce food safety risks associated with egg consumption. The first one aims to reinforce the chemical (antimicrobial proteins) protection mechanism of eggs by identifying genes coding proteins involved in egg protection. The following step is to explore phenotypic variability in egg protection against Salmonella related to environmental factors during egg production and storage and the feasibility to select hens with superior anti-microbial alleles using marker assisted selection. A complementary approach is to eliminate eggs at risk by improving the technology for egg grading using noninvasive methods to enhance the detection of eggs with the greatest risk to the consumer. Finally, the risk can be controlled by reducing the degree of egg contamination by developing innovative egg decontamination treatments alternative to egg washing. We explored the decontamination efficiency of hot air, gas plasma sterilization, modified atmosphere packaging of eggs. These approaches were developed under the European programmes RESCAPE.
Global Plant Genetic Resources for Insect-Resistant Crops

Foreword, Masa Iwanaga Cereal Crops Germplasm Evaluation and Utilization for Insect Resistance in Rice, Elvis A. Heinrichs and Sharron S. Quisenberry The Value of Conserved Wheat Germplasm Evaluated for Arthropod Resistance, C. Michael Smith, Sharron S. Quisenberry, and Francois du Toit Insect Resistance in Barley Germplasm, David R. Porter, Dolores W. Mornhinweg, and James A. Webster Genetic Diversity of Sorghum: A Source of Insect-Resistant Germplasm, George L. Teetes, Gary C. Peterson, Kanayo F. Nwanze, and Bonnie B. Pendleton Legume Crops Bean Germplasm Resources for Insect Resistance, Cesar Cardona and Julia Kornegay Assessment of Soybean Germplasm for Multiple Insect Resistance, David J. Boethel Germplasm Resources, Insect Resistance, and Grain Legume Improvement, Stephen L. Clement, Massimo Cristofaro, Susan E. Cowgill, and Susanne Weigand. Alfalfa Germplasm Resources and Insect Resistance, George R. Manglitz and Edgar L. Sorensen Vegetable Crops Vegetable Crops: Search for Arthropod Resistance in Genetic Resources, James D. Barbour Root and Tuber Crops Utilization of Sweetpotato Genetic Resources to Develop Insect Resistance, Wanda W. Collins , Edward E. Carey, Il-Gin Mok, Paul Thompson, and Zhang Da Peng The Potato: Genetic Resources and Insect Resistance, Kathy L. Flanders, Silvia Arnone, and Edward B. Radcliffe Basic Research and Biotechnology Plant Genetic Resources for the Study of Insect-Plant Interactions, Sanford D. Eigenbrode and Stephen L. Clement Biotechnological Applications of Plant Genes in the Production of Insect Resistant Crops, Angharad M.R. Gatehouse
Using Logical Specifications for Multi-Objective Reinforcement Learning

USING LOGICAL SPECIFICATIONS FOR MULTI-OBJECTIVE REINFORCEMENT LEARNING Kolby Nottingham Computer Science Department Bachelor of Science In the multi-objective reinforcement learning (MORL) paradigm, the relative importance of environment objectives is often unknown prior to training, so agents must learn to specialize their behavior to optimize different combinations of environment objectives that are specified post-training. These are typically linear combinations, so the agent is effectively parameterized by a weight vector that describes how to balance competing environment objectives. However, we show that behaviors can be successfully specified and learned by much more expressive non-linear logical specifications. We test our agent in several environments with various objectives and show that it can generalize to many never-before-seen specifications.
Title : Feasible Performance Evaluations of Digitally-Controlled Auxiliary Resonant Commutation Snubber-Assisted Three Phase Vo

In this paper, two linear constrained cooperative distributed extended dynamic matrix control (CDEDMC) and adaptive generalized predictive control (CDGPC) are proposed to control the uncertain nonlinear large-scale systems. In these approaches, a proposed cooperative optimization is employed which improves the global cost function. The cost values and convergence time are reduced using the proposed cooperative optimization strategy. The proposed approaches are designed based on the compensation of the mismatch between linearized and nominal nonlinear models. In CDEDMC the mismatch is considered as a disturbance and compensated; Also in CDGPC, it is compensated using online identification of the linearized model. The typical distributed linear algorithms like DMC leads to an unstable response if the reference trajectory is a little far from the equilibrium point. This problem will be partially solved using the CDEDMC and will be completely solved using the CDGPC even if the reference trajectory is too far from the equilibrium point. The performance and effectiveness of proposed approaches are demonstrated through simulation of a typical uncertain nonlinear large-scale system.
Diospyros oleifera and D. deyangensis Are Revealed as the Closest Relatives to D. kaki by E3 Ubiquitin-Protein Ligase UPL3 DNA Sequences

Diospyros of the family Ebenaceae includes more than 400 species in the world. Fruits of persimmon plants are well-known traditional food. In the past decades, persimmon germplasm resources are threatened due to urbanization and environmental destruction. There is an urgent need to make an evaluation on the genetic diversity of Diospyros for conservation and utilization. However, due to the shortage and limited sensitivity of morphological and DNA markers, development of molecular identification tools for the Diospyros plants is still a global challenge. In this study, a new DNA marker from the E3 ubiquitin-protein ligase UPL3 gene region was found to be sensitive for discriminating Diospyros plants. Diospyros deyangensis and D. oleifera were revealed as the closest relatives to D. kaki by the E3 ubiquitin-protein ligase UPL3 DNA sequences. Our results would be of significant value for understanding the origin of cultivated persimmon cultivars and for future researches on global genetic diversity assessment and phylogeny of Diospyros plants.
Formulation, Characterisation and Evaluation of the Ethosuximide Oral Immediate Release Tablets

The present study is aimed to formulate, characterization, and evaluate oral immediate-release tablets of Ethosuximide. It is employed as an anti-epileptic agent used in the treatment of epilepsy, in all the age groups who were ≥ 1 year. The dosage form is formulated by directly compressing the blend and granulating the powder blend by wet granulation methods. The optimized formulation is achieved by the trial and error method by changing the concentration of lactose monohydrate and di-basic calcium phosphate dehydrate as diluents, sodium starch glycolate as Super-dis-integrant, rice Starch as an intra-granular binder, hydroxypropyl cellulose as binder talc as a lubricant. Evaluation parameters such as micromeritic properties, disintegration time along with in-vitro drug release studies were performed for characterizing the dosage form. In-vitro drug release studieswere carried out using 0.1 NHCl as dissolution media with 75 rpm and temperature of 37C± 5C by employing USP apparatus II (Paddle type). Estimation of the % drug release of the tablet was carried out using the UV method. The prepared formulation and themarketed formulation were tested for the in-vitro drug release pro ile and the prepared formulation was compared with the marketed formulation. All the evaluated resultwas found to bewithin the speci ications. Therefore, from the obtained evaluation results F6 trail was selected as the best formulation.
A mini-review on Pollution of water resources: causes and consequences

Water is an indispensable resource for the continuation of life on planet earth and is one of the major challenges of the 21st century. However, it is threatened daily by pollution of all kinds. In order to better understand the issues related to water pollution, several points have been developed in this mini review article (definition of water pollution, distribution and importance of water, different types of water pollution, their origins and consequences).
The method of destructive scenario forecasting for the development of divergent thinking of managers

The phenomenon of thinking is well studied in psychology, and many of its types are revealed. However, little attention is paid to the development of divergent thinking in general and the development of divergent thinking of managers in particular. At the same time, multidirectional management decisions, their prompt adoption and the originality of content are very necessary for enterprises. The aim of the article is to give the characteristic of divergent thinking, to note its features and to present own definition of the concept “divergent thinking of managers”. In the article the analysis of one of the functions of managers, that is forecasting, is described. The scenario method and a new method of destructive scenario forecasting are proposed. The algorithm of the last method application in the form of a technological map is shown. The result of using the method for 2 years on specialized programs of professional development and retraining of managers is described. The results of mathematical processing of the obtained data on diagnostic procedures are presented. They testify that in the experimental groups the development of qualitative characteristics of divergent thinking of managers proceeded more intensively than in the control ones, in which the method of destructive scenario forecasting was not used. That proves the effectiveness of the proposed method for the development of divergent thinking of managers.
ADOPTION OF SOCIAL MEDIA AND MANAGEMENT OF LESSONS LEARNED IN IT PROJECT

This research explores the gap in the management of lessons learned (MLL) in an Information Technology project (IT), validating a model (named Target) with the support of wiki platform in a medium-sized company in the IT industry. This model supports the following MLL processes: awareness, collection, verification, storage, dissemination and reuse. This study adopts the paradigm of the Design Science Research and the Technical Action Research method to instantiate the Target model in the implementation phase of an IT project. The practical implications can be seen in the company's learning to introduce the MLL, improve design productivity, increase employee collaboration and better disseminate knowledge.
Assessment of methane emission traits in ewes using a laser methane detector: genetic parameters and impact on lamb weaning performance

Abstract The aim of the present study was to derive individual methane (CH4) emissions in ewes separated in CH4 respiration and eructation traits. The generated longitudinal CH4 data structure was used to estimate phenotypic and genetic relationships between ewe CH4 records and energy efficiency indicator traits from same ewes as well as from their lambs (intergenerational perspective). In this regard, we recorded CH4 emissions via mobile laser methane detector (LMD) technique, body weight (EBW), backfat thickness (BFT) and body condition score (BCS) from 330 ewes (253 Merinoland (ML), 77 Rhön sheep (RH)) and their 629 lambs (478 ML, 151 RH). The interval between repeated measurements (for ewe traits and lamb body weight (LBW)) was 3 weeks during lactation. For methane concentration (µL L-1) determinations in the exhaled air, we considered short time measurements (3 min). Afterwards, CH4 emissions were portioned into a respiration and eructation fraction, based on a double normal distribution. Data preparation enabled the following CH4 trait definitions: mean CH4 concentration during respiration and eructation (CH4r+e), mean CH4 concentration during respiration (CH4r), mean CH4 concentration during eructation (CH4e), sum of CH4 concentrations per minute during respiration (CH4rsum), sum of CH4 concentrations per minute during eructation (CH4esum), maximal CH4 concentration during respiration (CH4rmax), maximal CH4 concentration during eructation (CH4emax), and eructation events per minute (CH4event). Large levels of ewe CH4 emissions representing energy losses were significantly associated with lower LBW (P<0.05), lower EBW (P<0.01) and lower BFT (P<0.05). For genetic parameter estimations, we applied single- and multiple-trait animal models. Heritabilities and additive genetic variances for CH4 traits were small, i.e., heritabilities in the range from <0.01 (CH4r+e, CH4r, CH4rmax, CH4esum) to 0.03 (CH4rsum). We estimated negative genetic correlations between CH4 traits and EBW in the range from -0.44 (CH4r+e) to -0.05 (CH4rsum). Most of the CH4 traits were genetically negatively correlated with BCS (-0.81 for CH4esum) and with BFT (-0.72 for CH4emax), indicating same genetic mechanisms for CH4 output and energy efficiency indicators. Addressing the intergenerational aspect, genetic correlations between CH4 emissions from ewes and LBW ranged between -0.35 (CH4r+e) and 0.01 (CH4rsum, CH4rmax), indicating that breeding on reduced CH4 emissions (especially eructation traits) contribute to genetic improvements in lamb weaning performance.
Towards a Self-Healing Approach to Sustain Web Services Reliability

Web service technology expands the role of the Web from a simple data carrier to a service provider. To sustain this role, some issues such as reliability continue to hurdle Web services widespread use, and thus need to be addressed. Autonomic computing seems offering solutions to the specific issue of reliability. These solutions let Web services self-heal in response to the errors that are detected and then fixed. Self-healing is simply defined as the capacity of a system to restore itself to a normal state without human intervention. In this paper, we design and implement a self-healing approach to achieve Web services reliability. Two steps are identified in this approach: (1) model a Web service using two behaviors known as operational and control, and (2) monitor the execution of a Web service using a control interface that sits between these two behaviors. This control interface is implemented in compliance with the principles of aspect-oriented programming and case-based reasoning.
Memory Use Analysis Of Live Migration Process On Dockers Using Checkpoint/ Restore In Userspace (CRIU)

: There are several things that cause server down in the company, including natural disasters that cannot be predicted when they occur such as earthquakes, tsunamis and landslides and increased access to servers, especially in service providers and the Internet that result in heavy workloads on the server resulting in decreased server performance so the server can die suddenly. To overcome this problem, several solutions were made, namely to backup data and services using live migration technology. Live migration technology is one of the virtualization technologies that can move containers between servers or platforms live. But the live migration process requires a long time if the memory resource used is not suitable. In this study, testing and analysis will be conducted to improve the live migration process from platform to platform. This test uses Docker as a container for packaging applications, CRIU (Checkpoint / Restore in Userspace) as a tool for the process of live migration, NFS (Network File System) as a protocol for distributing system files over the network and using Magento services as research objects to be migrated. The results obtained from this study are that platforms use memory greater than platform1 and require less time than platform1. This is because platform2 has a RAM value greater than platform1
Comparison of Automated and Manual Methods for Antimicrobial Susceptibility Testing

Background: Carbapenems are considered the broadest-spectrum β-lactam agents and are often required for treatment of severe hospital-acquired infections caused by multidrug-resistant Gramnegative organisms. Minimum inhibitory concentrations (MICs) are important in diagnostic laboratories to confirm resistance of microorganisms to an antimicrobial agent and also to monitor the activity of new antimicrobial agents. Aims and Objectives: To compare the MIC obtained by Broth Microdilution method (BMD) with that of Vitek-2(automated method) for recovered isolates of Klebsiella pneumoniae. Materials and Methods: Prospective study conducted over a period of one year. It included all isolates of Klebsiella pneumoniae recovered from blood culture of the patients. The identification and antimicrobial susceptibility was done on Vitek-2.These Isolates were subjected to Microbroth dilution method for MIC determination. Results: Out of the 55 meropenem resistant isolates by vitek-2, 20(36.3%) had MIC of ≥256 μg/ml followed by 18(32.7%) isolates with a MIC of 128 μg/ml, followed by 11(20%) isolates with MIC of 64 μg/ml and 6(10.9%) isolates with MIC of 32 μg/ml. Also among 15 meropenem sensitive isolates by Vitek-2, 13(86.7%) had MIC of ≤0.5 μg/ml, followed by two (13.3%) isolates with MIC of 2 μg/ml. Original Research Article Bhat et al.; MRJI, 30(2): 43-48, 2020; Article no.MRJI. 55875 44 Results obtained by vitek 2 were compared with those from BMD(the reference method), which showed a 13.3% minor error rate and no major or very major error rate. Conclusion: Overall, the Vitek 2 performance was comparable to that of BMD for testing a limited number of Klebsiella pneumoniae isolates.
A review on novel corona virus 2019 (covid-19) pneumonia

The pneumonia caused by novel Coronavirus (COVID-19) SARS-CoV-2 in Wuhan, China in December 2019 is a highly contagious disease. The WHO (World Health Organization) has declared the ongoing outbreak as a global public health emergency. Currently, the research on Coronavirus is still in the primary stage. Based on the current information published evidence, we systematically summarize the latest information, drugs, diagnosis, treatment and prevention of COVID-19. This review in that we hope of helping the public effectively recognize and deal with the 2019 novel Coronavirus (SARS-CoV-2), and providing a reference for future studies.
Distinct secretion pattern of serum proinsulin in different types of diabetes

Background Latent autoimmune diabetes in adults (LADA) is characterized by autoimmunity, late-onset and intermediate beta-cell deprivation rate between type 2 diabetes mellitus (T2DM) and type 1 diabetes mellitus (T1DM). Herein, we investigated proinsulin (PI) secretion patterns and the endoplasmic reticulum (ER) dysfunction biomarker, PI-to-C-peptide (PI:CP) ratio, to elucidate beta-cell intrinsic pathogenesis mechanisms in different types of diabetes. Methods Total serum fasting PI (FPI) were measured in adult-onset and newly-diagnosed diabetes patients, including 60 T1DM, 60 LADA and 60 T2DM. Thirty of each type underwent mixed meal tolerance tests (MMTTs), and hence 120 min postprandial PI (PPI) were detected. PI:CP ratio = PI (pmol/L) ÷ CP (pmol/L) × 100%. PI-related measurements among types of diabetes were compared. Correlation between PI-related measurements and beta-cell autoimmunity were analyzed. The possibility of discriminating LADA from T1DM and T2DM with PI-related measurements were tested. Results FPI and PPI were significantly higher in LADA than T1DM (P<0.001 for both comparisons), but lower than those in T2DM (P<0.001 and P=0.026, respectively). Fasting PI:CP ratio was significantly higher in T1DM than both LADA and T2DM (median 3.25% vs. 2.13% and 2.32%, P=0.011 and P=0.017, respectively). In LADA, positive autoantibody numbers increased by both fasting and postprandial PI:CP ratio (P=0.007 and P=0.034, respectively). Areas under receiver operation characteristic curves (AUCROC) of FPI and PPI for discriminating LADA from adult-onset T1DM were 0.751 (P<0.001) and 0.838 (P<0.001), respectively. Between LADA and T2DM, AUCROC of FPI and PPI were 0.685 (P<0.001) and 0.741 (P=0.001), respectively. Conclusions In the development of autoimmune diabetes, interplays between ER stress and beta-cell autoimmunity are potentially responsible for severer beta-cell destruction. PI-related measurements could help in differentiating LADA from adult-onset T1DM and T2DM.