Miracle-dz/UniFAR-FTUs huggingface dataset:
MOLECULAR ANALYSIS OF SPACEFLIGHT EFFECTS ON SEVERAL SPECIES OF MICROORGANISMS

Bacterial cultures were flown for 12 days on the Russian Foton- M3 spacecraft to detect genetic changes in response to spaceflight conditions. Flight experiment (FE) and asynchronous ground control (AGC) cultures of Streptomyces lividans (pIJ702) were screened for putative mutations in the tyr gene required for melanin synthesis. In flight samples, plasmid expression in FE clones was 3-fold greater than that for AGC cultures. Gene sequencing detected G-C base-pair substitutions in the tyr gene in both FE and AGC cultures. Streptomyces coelicolor strain Ac- 236 with several auxotrophic marker genes was screened for spontaneous revertants and the arginine and proline genes were amplified for sequencing to characterize the genetic changes resulting in prototrophy. Ribosomal DNA was extracted from FE and AGC cultures of Pseudomonas aeruginosa, Bacillus pumilus, Escherichia coli and Lactobacillus casei and analyzed for mutations. No genetic changes were detected in these species. The results suggest that there is limited potential for mutation when cultures and cells are subjected to spacecraft flight conditions in short-duration low earth orbit.
Solar Powered EV Smart Charging Station

It is essential to facilitate integration of renewable energy sources (RES) in the rising demand of electric vehicle (EV) charging infrastructure to approach a completely carbon free future of E-mobility integration in the transportation sector. This paper explores the implementation of smart charging algorithms on a solar powered EV charging station and compares the effects on the power flow and revenue when a local storage solution such as the Tesla Powerwall is integrated into the EV charging infrastructure. Experimental results from the implemented charging algorithms using the Tesla Powerwall and the SolarEdge inverter set-up are
START: Straggler Prediction and Mitigation Technique for Cloud Computing Environments using Encoder LSTM Networks

—Modern large-scale computing systems distribute jobs into multiple smaller tasks that execute in parallel to accelerate job completion rate and reduce energy consumption. The occurrence of stragglers signiﬁcantly extends job completion time, hence impacting Service Level Agreement (SLA) and Quality of Service (QoS). Therefore, there is a need of automatic straggler detection and mitigation mechanisms that execute jobs without violating the SLA. Prior works only focus ﬁrst on detection and then mitigation of straggler tasks, which leads to delays. In this paper, we propose an SLA-aware Straggler Prediction and Mitigation (START) Technique for cloud computing environments that is able to predict well in advance which tasks might be straggler and tries to mitigate them to give lower response times. Our technique analyzes all tasks and hosts based on various computation and network resource characteristics using Encoder Long-Short-Term-Memory (LSTM) network to automatically predict and mitigate the tasks that might be straggler. This reduces the SLA violation rate and execution time without compromising QoS. We used CloudSim toolkit to simulate the proposed technique in a cloud environment and compared it with state-of-the-art techniques (IGRU-SD, IGRU-SD, NearestFit, Dolly, GRASS, LATE and Wrangler) in terms of various QoS parameters such as energy consumption, execution time, resource contention, CPU utilization and SLA violation rate. Experiments show that START reduces execution time, resource contention, energy and SLA violations more than 13%, 11%, 16%, 19% respectively from the state-of-the-art works.
Program Management Office of Strategic Programs in

The Program Management Office (PMO) provides project managers with a proven methodology, automated tools and a training program for an effective management of the activities in order to achieve the expected benefits. The PMO helps projects to overcome critical issues, especially the cross-functional ones. The analysis is focused on the study of Telecom Italia PMO structure in order to show how a great enterprise is able to manage strate- gic projects across the organization. The PMO is responsible for monitoring the strategic projects that are most relevant for Tele- com Italia Top Management, ensuring a synthetic representation and continuous progress re- porting of the activities. This paper aims to identify all organizational elements that characterize the program management function and also describes the tools used to manage the content and to obtain an integrated view of the projects portfolio. The strategic projects are actually includ- ed in a dashboard through which information about all the elements that describe the project can be obtained, seen as a set of activities, team work, performance indicators, critical issues, and risks that may appear in single form or aggregate. Aim of this paper is to evaluate the impact of PMO on the success of strategic projects of
The Anatomy of Platform as a Service (PaaS) in the Cloud: A Detailed Look into the Challenges

— Cloud computing has been one of the fasted travelling technical term which has a lot of tongues on fire since its inception. Software, programming platforms and the infrastructures on which the software and data will reside are now being offered as services painting a clear picture of Service Oriented Architecture framework. The cloud has really made a lot of promises on the convenience, availability and many other issues although there have been some hiccups on issues concerning security. The architecture of cloud computing has broken down into layers which include Software as a Service(SaaS), Platform as a Service(PaaS) and Infrastructure as a Service(IaaS). This paper has narrowed down the bigger piece of cloud computing reference model and focused more on Platform as a Service. Here we have exposed the layers that are within Platform as a Service and also classified their challenges according to the research done by other fellow researchers.
Emora: An Inquisitive Social Chatbot Who Cares For You

Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI. The traditional approach of information-sharing topic handlers is balanced with a focus on opinion-oriented exchanges that Emora delivers, and new conversational abilities are developed that support dialogues that consist of a collaborative understanding and learning process of the partner's life experiences. We present a curated dialogue system that leverages highly expressive natural language templates, powerful intent classification, and ontology resources to provide an engaging and interesting conversational experience to every user.
Intervention of Effective Parts Extracted from Platycodon Grandiflorum on Microangiopathy of Diabetic Rats

Objective:To study the intervention of the effective parts extracted from Platycodon grandiflorum on microangiopathy of diabetic rats.Methods:Experiments in vitro:the vascular endothelial cell(VEC)was cultured and the models injuried by high concentration of glucose or hydrogen peroxide(H2O2)were established.This study was conducted as normal control,H2O2(or glucose)-injuried and protective groups.Cell viability was tested by MTT assay.At the same time,the inhibition of the extracts from Platycodon grandiflorum on non-enzymatic glucosylation of protein in vitro was also detected.Experiments in vivo:diabetic Kunming rat models were induced by injecting streptozotocin(STZ)and divided into different groups,and then given 2,4,8 g/kg ethanol fraction from Platycodon grandiflorum,acarbose or water respectively.The effects of the extracts from Platycodon grandiflorum on 28 d and blood lipids levels of the STZ-diabetic rats were detected,and the pathology damage of ranal was examined.Results:Polysaccharide extracted from Platycodon grandiflorum obviously protected VEC from damaging by high concentrated glucose.Ethanol fraction from Platycodon grandiflorum obviously inhibited the H2O2 damaging VEC.High doses of 8 g/kg)of the ethanol fraction from Platycodon grandiflorum significantly reduced the blood lipids and delayed the pathological changes of kideny.Conclusion:The effective parts of Platycodon grandiflorum can inhibit the microangiopathy of diabetic rat through protecting the VEC from damaging by high glucose or free radicals and inhibiting the generation of non-enzymatic glucosylation of protein.
Incomplete Network Alignment

Networks are prevalent in many areas and are often collected from multiple sources. However, due to the veracity characteristics, more often than not, networks are incomplete. Network alignment and network completion have become two fundamental cornerstones behind a wealth of high-impact graph mining applications. The state-of-the-art have been addressing these two tasks in parallel. That is, most of the existing network alignment methods have implicitly assumed that the topology of the input networks for alignment are perfectly known a priori, whereas the existing network completion methods admit either a single network (i.e., matrix completion) or multiple aligned networks (e.g., tensor completion). In this article, we argue that network alignment and completion are inherently complementary with each other, and hence propose to jointly address them so that the two tasks can mutually benefit from each other. We formulate the problem from the optimization perspective, and propose an effective algorithm (iNeAt) to solve it. The proposed method offers two distinctive advantages. First (Alignment accuracy), our method benefits from the higher-quality input networks while mitigates the effect of the incorrectly inferred links introduced by the completion task itself. Second (Alignment efficiency), thanks to the low-rank structure of the complete networks and the alignment matrix, the alignment process can be significantly accelerated. We perform extensive experiments which show that (1) the network completion can significantly improve the alignment accuracy, i.e., up to 30% over the baseline methods; (2) the network alignment can in turn help recover more missing edges than the baseline methods; and (3) our method achieves a good balance between the running time and the accuracy, and scales with a provable linear complexity in both time and space.
Study of Emergence, Prevalence and Sensitivity Pattern of Acinectobacter Spp. in Tertiery Care Hospital Jamnagar, Gujarat, India

1 Senior Resident, Microbiology Department, M. P. Shah Govt. Medical College and G.G.G. Hospital Jamnagar, Gujarat, India 2 Senior Resident, Microbiology Department, M. P. Shah Govt. Medical College and G.G.G. Hospital Jamnagar, Gujarat, India 3 Assistant Professor, Microbiology Department, M. P. Shah Govt. Medical College and G.G.G. Hospital Jamnagar, Gujarat, India 4 Professor, Microbiology Department, M. P. Shah Govt. Medical College and G.G.G. Hospital Jamnagar, Gujarat, India 5 Professor and Head, Microbiology Department, M. P. Shah Govt. Medical College and G.G.G. Hospital Jamnagar, Gujarat, India
Rates of Heat and Mass Transfers for a Non Darcy Porous Medium Subject to Double Dispersion and Saturated by a Nanofluid

 Abstract — This work aims to quantify the rates of heat and mass transfers occurred between a vertical and nonisothermal plate immersed into a non-Darcy porous medium and saturated with a weak nanofluid. Double dispersion is assumed and natural convection is the exchange mode. The similarity transformations are involved and the governing system of nonlinear partial differential equations is converted into a set of nonlinear ordinary differential equations via similarities. Results are displayed graphically to illustrate the influence of δ and ξ on the velocity, the temperature and concentration of the species profiles. For a weak nanofluid, the rate of mass transfer is affected strongly by the double dispersion while the rate of heat transfer coefficient is less sensitive to it.
Role of Social Networks in Sampling Hard to Reach Population

Most research on forced migration acknowledges the fact that acquiring accurate data on refugees and internally displaced persons (IDPs) is challenging, if not impossible. With the help of a national human rights organization, embedded in communities across Nepal, I employed a weighted multi-stage cluster sampling technique to survey over 1800 individuals from 56 village development committees (VDCs) drawn from 11 of the 75 districts of Nepal to study individual coping behaviors during a decade-long civil war in Nepal. This national sample represents districts that were hard-hit during the conflict, all three topographical regions, all five development regions, and both rural and urban parts of Nepal. Data gathered from the survey are being used in understanding why some individuals flee from their homes while others stay, what are the coping strategies employed by those who chose to stay in their villages, and finally what leads some individuals to return home and others to relocate. Forced migrants typically include two types of individuals, refugees who cross an international border and internally displaced persons (IDPs) who flee their homes but do not cross the border into another country (UNHCR 1951; 1998). Scholars in the field acknowledge that it is extremely difficult to obtain accurate data on forced migration caused by conflict (Crisp 1999). This research provides an account of this issue with a description of the problems one faces in enumerating conflict-induced displacement in Nepal. Despite the difficulty in sampling this hard to reach population, I was able to survey over 1800 individuals with the help of social networks such as Non-Governmental Organizations (NGOs) and community level organizations operating at the grassroots level. In the following section, I provide a brief account of the Maoist insurgency in Nepal followed by a 1 Prakash Adhikari is Assistant Professor of Political Science, Central Michigan University, Mount Pleasant, MI 48859 (Email:adhik1p@cmich.edu). This research was supported by a grant from the U.S. National Science Foundation (NSF), Dean’s Dissertation Fellowship, Regents Graduate and the Clyde E. and Garnet G. Starkey Scholarship Award from the University of New Mexico. I thank Wendy L. Hansen, Lonna R. Atkeson, William D. Stanley and Alok K. Bohara for their help. Thanks are also due to the Informal Sector Service Center (INSEC) in Nepal for its critical support during my fieldwork. 2 Davenport et al. (2003) developed the value-free phrase “forced migrant” to describe both refugees and IDPs. I follow their example.
Retrofitting hotels: evidence from the Protea Hospitality Group of hotels within Gauteng, South Africa

Over the past decade the environmental responsibilities, practices, policies and performance of hotels have garnered an increasing international scholarship by tourism and hospitality researchers.The imperative for environmental retrofitting of hotels arises from the existence of resource-intensive and frequently inefficient systems and operational routines in the hotel sector which can result in negative environmental impacts. The present article analyses one dimension of the relationship between hotels and sustainable development in South Africa. Specific attention is on issues of the environmental retrofitting in hotels. The empirical focus is upon the operations of a ten hotels in Gauteng, South Africa’s economic heartland, which are part of the Protea Hospitality Group. It is revealed that the nature of retrofitting initiatives at the hotels differed with the most common initiatives being the introduction of LED lighting and recycling initiatives. The leading reasons for introducing environmentally friendly measures were to reduce the hotel’s carbon footprint, to reduce costs and to enhance brand image. These findings align with those of other investigations which have highlighted profit considerations linked to enhanced competitiveness as the most significant drivers for the greening of hotels.
Perancangan dan Implementasi Random Number Blum Blum Shub pada Dynamic Cell Spreading untuk Pengamanan Berkas

Internet grows fast and faster today. This phenomena has to be followed and supported by giving a limitation of access control in order to prevent the unauthorized party do accessing. The data must be kept in secret as well as its integrity of message. Several methods to support the mechanism of protecting the integrity have been already conducted such as using steganography method. One of steganography which has been already discussed today is Dynamic Cell Spreading (DCS) which is inserting bits of message into another media cover. Meanwhile, DCS algorithm today is indeed to be modified to maintain the level of dynamics and also to hold the strenghness so that it can compete protecting data againts other algorithms. Based on this background, it is proposed a new scheme and design to modify DCS algorithm in producing random number to use for reference indexing. As for the modification to DCS is to combine the pseudo-random number generator Blum-Blum-Shub (BBS) so that it is expected that all the parameters related to the strength are still held.
The Trials and Tribulations of the Plant Male Gametophyte — Understanding Reproductive Stage Stress Tolerance

Yield and productivity of many crop species depend on successful reproductive develop‐ ment to produce seeds or fruits for human nutrition. Plants determine the right time to flower based on environmental cues (day length, temperature) and angiosperms have evolved a plethora of mechanisms to adapt flowering to specific environmental condi‐ tions. Despite these adaptation mechanisms, fertilisation and seed production remain subject to the reigning weather conditions before and during flowering. To fertilise the immobile female gametes inside the ovule, the male gametophytes need to be dispersed in a hostile environment. In crop plants, unexpected inclement weather conditions during male gametophyte development and pollen dispersal are often associated with dramatic yield losses. Molecular and physiological studies are gradually making progress in iden‐ tifying genes and processes that control various aspects of pollen development, but the many intricacies involved in environmental control of pollen development and – in par‐ ticular – regulation of male fertility remain poorly understood. The aim of this paper is to draw attention to the enormous amount of complexity and biodiversity that exist in an‐ giosperm male gametophyte development. A better understanding of the strategies that exist in adapting pollen production and fertility to environmental challenges may ulti‐ mately benefit improvement of abiotic stress tolerance in major food crops.
Research Articles : Microsatellite DNA Somaclonal Variation of Regenerated Plants via Cotyledon Culture of Hot Pepper (Capsicum annuum L.)

In this study, microsatellite DNA markers were utilized to characterize somaclonal variation in regenerated plants from cultured cotyledons of Capsicum annuum L. cv Subicho. Twenty five microsatellite primer pairs were utilized in the screening of 41 regenerated plants derived from the cotyledons. Microsatellite DNA variation was detected among the regenerated plants at two SSR loci. The primer pairs for the SSR loci HpmsF15 and HpmsF037 revealed somaclonal variation in 5 out of the 41 plantlets (12%). However, 23 microsatellite markers evidenced no nuclear DNA polymorphisms. Nevertheless, the microsatellite marker technique can be successfully employed to assess genetic variations in somaclonal variants of the hot pepper.
Design and Analysis of Low Power High Speed Full Adder Cell using Modified GDI Technique

With the advancements in the technology and increase in the usage of laptops, cellular phones, ipads, Internet of Things (IoT) devices, and other portable communication systems, there are many applications requiring high speed, small area, and low power consumption. So there is a need of circuits with low energy consumption for the design of system components and application specific processors. The aim of this work is to design 1-bit full adder circuit using full-swing GDI to reduce power consumption, in addition to achieve full-swing output. This paper presents a design which provides full swing output for logic 1 and logic 0 for 1-bit full adder cell and reduces power consumption. In this design full adder consists of two XOR gate cells and one cell of 2x1 multiplexer (MUX). The performance of the proposed design compared with the different logic style for full adders.
Research on CSI Indoor Fingerprint Location Algorithm Based on Adaptive Kalman Filter

: In order to improve the indoor positioning accuracy and stability of WiFi received signal strength indicating (RSSI), we propose a channel state information (CSI) indoor fingerprint location algorithm based on adaptive Kalman filter in this paper. In the offline stage, the original data is filtered by adaptive Kalman filter algorithm with variance compensation, and then the filtered data is classified by binary K-means clustering algorithm. Then, according to the off-line data and real-time data of the point to be measured, the K nearest neighbor matching algorithm is used to estimate the location coordinates of the location point in the online stage. Finally, simulation and field experiments show that the algorithm can effectively reduce the influence of multi-path attenuation at the receiving end of the signal by using the amplitude characteristics of the corresponding subcarriers in the channel, and the positioning accuracy reaches 0.7m. In addition, the positioning results are efficient and effective.
Fuzzy fault-tolerant control for global stabilization of uncertain time-delay large-scale systems

: The fuzzy fault-tolerant control problem is studied for global stabilization of a class of uncertain nonlinear interconnected large-scale systems with unknown time varying time delays. The unknown delayed input signals of the fuzzy approximator are substituted by the bounded references signals, and as a result, the control design and application are not dependent on the delay assumptions any more, so that the convenience of the controller design and application is greatly improved. The fault-tolerant backstepping control and the adaptive control technique are combined to deal with the errors of the replacement and the approximation. The proposed control scheme can compensate for all of the four types of actor faults efﬁciently, and global stability of the closed-loop system is guaranteed. Simulation results are provided to show the effectiveness of the control approach.