Miracle-dz/UniFAR-FTUs huggingface dataset:
Nursery Nitrogen Loading Improves Field Performance of Bareroot Oak Seedlings Planted on Abandoned Mine Lands

Although mine reclamation sites are important targets for ecological restoration, they are generally difficult to regenerate successfully. We evaluated the importance of nursery nutrient loading as a new approach to enhance forest restoration on abandoned mine lands. Northern red oak (Quercus rubra) and White oak (Q. alba) seedlings were nitrogen (N) loaded for 18 weeks at a bareroot nursery in southern Indiana, United States. Fertility treatments followed conventional or modified exponential functions to synchronize N supply with plant demand. Subsequently, nursery‐grown seedlings were outplanted the following year onto a mine reclamation site in southwestern Indiana to evaluate effects of nursery N loading on first‐year field performance. Nursery N loading promoted total plant dry mass production 25–129% in Red oak and 50–184% in White oak compared to unfertilized plants. Nitrogen loading increased N content 88–145% and potassium (K) content 16–71% for Red oak and N content 124–250% and K content 16–93% for White oak relative to controls. When outplanted, N loading resulted in high seedling survival (>84%) and increased total plant dry mass production 14–30% for Red oak and 23–52% for White oak. Nitrogen loading increased plant N uptake 14–102% in Red oak and 32–105% in White oak under field conditions. Exponential N loading demonstrates potential as a viable technique to improve seedling outplanting performance and reclamation success in Indiana and elsewhere.
Magnetic edge states in MoS2 characterized using density-functional theory

It is known that the edges of a two-dimensional slab of insulating MoS2 exhibit one-dimensional metallic edge states, the so-called “brim states. ” Here, we find from density-functional theory calculations that several edge structures, which are relevant for the hydrodesulfurization process, are magnetic. The magnetism is an edge phenomenon associated with certain metallic edge states. Interestingly, we find that among the two low-index edges, only the S edge displays magnetism under hydrodesulfurization conditions. In addition, the implications of this on the catalytic activity are investigated. Despite large changes in the magnetic moments, a small influence on the adsorption energies is observed. This has implications on the suitability of magnetic measurements for monitoring the catalytic properties.
Statistical tests for the detection of single nucleotide polymorphisms using DNA pooling

An important problem in genetics is detecting single nucleotide polymorphisms (SNPs), sites along the genome at which a population shows variation. The focus is on the detection of rare variants. Pooling individuals allows us to increase the probability that a rare variant appears in the sample. However, as the pool size increases, the mean number of reads from an individual decreases, making it harder to distinguish reads of a rare variant from errors. This paper compares three statistical tests for detecting SNPs using data from pooled DNA samples.
ATINER ' s Conference Paper Series SME 2014-1321 Oupendranath Amoroo Business Development Officer Enterprise Mauritius Mauritius Measuring Export Marketing Strategy of SMEs in Mauritius : An Export Preparedness Perspective

The global business environment is being dominated by the trade liberalisation agenda and regionalisation process. In this context, SMEs in Small Island Developing State (SIDS) like Mauritius face numerous challenges in domestic and export markets. Exports to regional, international and niche markets are pivotal pillars for entrepreneurial growth and business expansion. This paper mainly measures how SMEs in the Manufacturing Sector can envisage growth through an export marketing strategy. Furthermore, this research also captures the level of preparedness required to tap export markets by applying appropriate marketing strategies and tools. Acknowledging that export-led economic growth is a necessity for a country’s progress. SMEs are encouraged to shift sales towards overseas markets. Therefore, this paper also illustrates the institutional framework that supports enterprise development towards export. In the domestic market, SMEs face the challenges of price competitiveness with imported products, restricted market size, fierce branding competition by multinationals and large enterprises, and lack of innovation and technology adoption. Hence, dependence on domestic market becomes a threat for survival. The global market brings opportunities and challenges. In case of SMEs, export is a challenging process which requires great effort to be successful. The lack of appropriate market information link to price competitiveness and market positioning hits, poor overseas branding strategy and absence of an export plan leads to wastage of resources and wrong market selection. It is observed that no relationship exists between an export plan, its implementation phase and export success, rather the Business Plan guides SMEs in export ventures. As observed there are SMEs which are exporting successfully without having an export plan but, they are market conscious while venturing towards external trade. This paper describes the challenges of internationalisation and export. It also specifies the Critical Success factors (CSFs) needed to launch and sustain export. Eventually, a 3s SMEs Export Development and Promotion Model is proposed to guide companies to become establish exporter.
Preliminary Report: Epidemiology of the Avian Influenza A (H7N9) Outbreak in China

Qun Li, M.D., Lei Zhou, M.D., Minghao Zhou, Ph.D., Zhiping Chen, M.D., Furong Li, M.D., Huanyu Wu, M.D., Nijuan Xiang, M.D., Enfu Chen, M.P.H. , Fenyang Tang, M.D., Dayan Wang, M.D., Ling Meng, M.D., Zhiheng Hong, M.D., Wenxiao Tu, M.D., Yang Cao, M.D., Leilei Li, Ph.D., Fan Ding, M.D., Bo Liu, M.D., Mei Wang, M.D., Rongheng Xie, M.D., Rongbao Gao, M.D., Xiaodan Li, M.D., Tian Bai, M.D., Shumei Zou, M.D., Jun He, M.D., Jiayu Hu, M.D., Yangting Xu, M.D., Chengliang Chai, M.D., Shiwen Wang, M.D., Yongjun Gao, M.D., Lianmei Jin, M.D., Yanping Zhang, M.D., Huiming Luo, M.D., Hongjie Yu, M.D., M.P.H. , Lidong Gao, M.D., Xinghuo Pang, M.D., Guohua Liu, M.D., Yuelong Shu, Ph.D., Weizhong Yang, M.D., Timothy M. Uyeki, M.D., M.P.H. , M.P.P., Yu Wang, M.D., Fan Wu, M.D., and Zijian Feng, M.D., M.P.H.
The effects of red grape pomace inclusion in grower diet on amino acid digestibility, intestinal microflora, and sera and liver antioxidant activity in broilers

The objective of this study was to evaluate the effect of dietary red grape pomace (RGP) on amino acid digestibility (AIAAD), intestinal microflora, and antioxidant activity in the sera and liver. Sixty-six broilers were housed in battery cages. They were allocated to six cages corresponding to two dietary treatments with three replicates of each treatment. The treatments were administered from 10 to 36 days and included a control diet and a diet containing 1.5% RGP dry powder with the other components remaining unchanged, compared to the control. The RGP had a significant (P < 0.05) positive effect on the apparent metabolizable energy. The majority of coefficients of AIAAD were higher in the RGP. The ileal digestibility of threonine, serine, proline, and glycine was significantly (P < 0.05) higher in RGP. RGP had a positive effect (P < 0.05) on the content of Lactobacillus in the lower part of the ileum. The blood sera of broilers fed RGP had significantly (P < 0.05) lower 2,2-diphenyl-1-picrylhydrazyl (DPPH) and uric acid content. The RGP at a concentration of 15 g/kg in the grower diet did not affect the growth of broilers, and RGP is suitable for broiler diets to improve gastrointestinal tract functionality.
Computationally Efficient Fail-safe Trajectory Planning for Self-driving Vehicles Using Convex Optimization

Ensuring the safety of self-driving vehicles is a challenging task, especially if other traffic participants severely deviate from the predicted behavior. One solution is to ensure that the vehicle is able to execute a collision-free evasive trajectory at any time. However, a fast method to plan these socalled fail-safe trajectories does not yet exist. Our new approach plans fail-safe trajectories in arbitrary traffic scenarios by incorporating convex optimization techniques. By integrating safety verification in the planner, we are able to generate fail-safe trajectories in real-time, which are guaranteed to be safe. At the same time, we minimize jerk to provide enhanced comfort for passengers. The proposed benefits are demonstrated in different urban and highway scenarios using the CommonRoad benchmark suite and compared to a widely-used sampling-based planner.
The Proton Radius Puzzle- Why We All Should Care

The status of the proton radius puzzle (as of the date of the Confer- ence) is reviewed. The most likely potential theoretical and experimental explanations are discussed. Either the electronic hydrogen experiments were not sufficiently accurate to measure the proton radius, the two- photon exchange effect was not properly accounted for, or there is some kind of new physics. I expect that upcoming experiments will resolve this issue within the next year or so.Ta
Optimize Data Transfer for Microwave Connection in the Iraq Electrical Grid Communications Based Controlling Fuzzy-Estimation

: The broadband in wireless services is very expensive, in sometimes limited and increase demand (for many serves). for this reason and other we need to manage the bandwidth by controlling the channels in communication system it's necessary that exploiting the good part form this bandwidth. In this paper, we propose to use estimation technique for estimate channel to transfer data thought channel as possible. the proposed estimation is based on the Minimum Mean Square Error (MMSE) and Modified Extended Kalman Filter (MEKF) this estimations technique used to find the Mean Final Error Ratio (MFER) in our propose. This error (MFER) uses as input to Fuzzy rule and then control parameter (control data, speech, image, video) for Microwave Connection for Iraq Electrical Grid, the Fuzzy adjusted availability channel with an amount of data needed to transfer over this channel at next time period The propose system is designed to management data communications through the channels connect among the Iraqi electrical grid stations. The results show that the modified Extended Kalman filter have a best result in time and noise estimation (0.1109 for 5% noise estimation to 0.3211 for 90% noise estimation and the packets loss rate is reduced with ratio from (35% to 385%).
Business models & business cases for point-of-care testing

Point-Of-Care Testing enables clinical tests at or near the patient with the assumption that test results will be available instantly or in a very short time frame to assist caregivers with immediate diagnosis and/or clinical intervention. The goal of Point-Of-Care Testing (POCT) is to provide accurate, reliable, fast and cost-effective information about patient condition. POCT can be part of the solution to the rising healthcare and welfare costs in the Netherlands and other developed countries without any loss of healthcare quality. POCT shortens the time for clinical decision-making about additional testing or therapy, as transport and preparation of clinical samples no longer causes delays, and biochemical-test results are available at the point of care rapidly. Overall POCT may improve medical outcome and lower costs. POCT viability conclusion shows the four automating the processing of POCT test results by Mobihealth are all viable. POCT allows general practitioners to perform tests in their practice and quickly make clinical discussions. The four business models implement the service of Mobihealth to push the POCT test results to the laboratory eliminating the need for a courier. Two of the business models use existing infrastructure to synchronise back with the information system of the general practitioner. The other two business models integrate the back synchronisation into the Mobihealth service thus eliminating the need for a third party. In one of those business models the responsibility of the laboratory to deploy POCT equipment is shifted towards Mobihealth. All in all most financial and non-financial benefits are achieved in the business models including the two way integration (automatic processing of POCT test results and the back synchronisation) by Mobihealth, whereas the business models without the back synchronisation pose less risks and are viable as well.
Possible adaptation measures of agriculture sector in the Nile Delta to climate change impacts

Abstract. The overall agricultural system in the Nile Delta region is considered as one of the highest intensive and complicated agriculture systems in the world. According to the recent studies, the Nile Delta region is one of the highly vulnerable regions in the world to climate change. Sea level rise, soil and water degradation, undiversified crop-pattern, yield reduction, pests and disease severity, and irrigation and drainage management were the main key factors that increased vulnerability of the agriculture sector in that region. The main objective of this study is to conduct a community-based multi-criteria adaptation assessment in the Nile Delta using a preset questionnaire. A list of possible adaptation measures for agriculture sector was evaluated. The results indicated that the Nile Delta growers have strong perceptions to act positively to reduce the impacts of climate change. They reflected the need to improve the their adaptive capacity based on clear scientific message with adequate governmental support to coop with the negative impacts of climate change.
Sound Source Localization with CS Based Compressed Neural Network

Microphone arrays are today employed to specify the sound source locations in numerous real time applica- tions such as speech processing in large rooms or acoustic echo cancellation. Signal sources may exist in the near field or far field with respect to the microphones. Current Neural Networks (NNs) based source localization approaches assume far field narrowband sources. One of the important limitations of these NN-based approaches is making balance between computational complexity and the development of NNs; an architecture that is too large or too small will affect the per- formance in terms of generalization and computational cost. In the previous analysis, saliency subject has been employed to determine the most suitable structure, however, it is time-consuming and the performance is not robust. In this paper, a family of new algorithms for compression of NNs is presented based on Compressive Sampling (CS) theory. The proposed framework makes it possible to find a sparse structure for NNs, and then the designed neural network is compressed by using CS. The key difference between our algorithm and the state-of-the-art techniques is that the mapping is continuously done using the most effective features; therefore, the proposed method has a fast convergence. The empirical work demon- strates that the proposed algorithm is an effective alternative to traditional methods in terms of accuracy and computational complexity.
Home range estimator method and GPS sampling schedule affect habitat selection inferences for wild turkeys

Understanding patterns in the spatial distribution of individuals in a population is a central question in ecology. Concurrent with advances in biotelemetry devices, development of home range estimator methods incorporating the temporal component of locational fixes are increasingly used to investigate these patterns at finer scales. However, these methods may necessitate sampling schedules that limit battery life and study period length. Practically, evaluating how home range estimator methods affect calculations of space use and habitat selection prior to deployment of biotelemetry devices could help researchers optimize data acquisition schedules. We quantified spatial overlap between a home range estimator using temporal information (dynamic Brownian bridge movement model [dBBMM]) and home range estimators not incorporating the temporal component of fixes (ad hoc and href kernel density estimator [KDE]) across differing sample schedules, and the resulting error in habitat selection ratios using data collected from wild turkeys (Meleagris gallopavo) equipped with Global Positioning Systems units in Texas, Georgia, South Carolina, and Louisiana, USA, during February–May 2015. When comparing ranges created from KDEs to dBBMM, commission errors were large (20–80%) and did not diminish with increased sampling rates. In contrast, omission error rate declined quicker and improvements were minimal when fix rates increased beyond 4/day. Compared with ranges estimated with dBBMM, KDEs poorly defined the spatial bearings of an individual’s range, overestimated areas of use, underestimated areas avoided, and showed different patterns of habitat selection. Our results suggest home range estimator methods incorporating temporal information seem capable of estimating ranges encompassing nearly all area used by an individual and should be used even at relatively low-frequency collection schedules to assess home ranges of wild turkeys. If researchers are interested in describing habitat selection of wild turkeys, we recommend a sampling schedule of 1 location/ hour during daytime and dBBMM for range estimation. 2018 The Wildlife Society.
Context Factors in Context-Aware Recommender System

With the rise in volume of data from various sources, we have an increasing need of recommender systems, which provide a data filtering to help users to find appropriate information. To satisfy even more users’ needs, a new kind of recommender systems called context-aware recommender systems (CARS) integrate contextual information related to the user in their recommendation process. However there exists no unique definition for context. In this poster we propose a context representation for CARS, to improve upon previous propositions, which can be used for a large spectrum of applications.
The diversity of Type II supernova versus the similarity in their progenitors

The authors acknowledge the ASASSN, La Silla Quest, and LOSS surveys for discovering new SNe that made this study possible. This material is based upon work supported by the National Science Foundation (NSF) under Grant No. 1313484. MDS gratefully acknowledges generous support provided by the Danish Agency for Science and Technology and Innovation realized through a Sapere Aude Level 2 grant. MF is supported by the European Union FP7 programme through ERC grant number 320360. SJS acknowledges funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC Grant agreement No. [291222] and STFC grants ST/I001123/1 and ST/L000709/1. AVF's group at UC Berkeley is grateful for financial assistance from NSF grant AST-1211916, the TABASGO Foundation, Gary and Cynthia Bengier, and the Christopher R. Redlich Fund. This work was supported by the NSF under grants PHY-1125915 and AST-1109174. M.S. acknowledges support from EU/FP7-ERC grant no [615929]. This paper is based on observations made with the Swift, LCOGT, Gemini, and Keck Observatories; we thank their respective staffs for excellent assistance. The W. M. Keck Observatory is operated as a scientific partnership among the California Institute of Technology, the University of California, and NASA; the observatory was made possible by the generous financial support of the W. M. Keck Foundation. Based on observations collected at the European Organization for Astronomical Research in the Southern hemisphere, Chile as part of PESSTO, (the Public ESO Spectroscopic Survey for Transient Objects Survey) ESO program ID 188.D-3003.
Inhibition of Specificity Protein Transcription Factors Betulinic Acid Inhibits Prostate Cancer Growth through

Betulinic acid is a pentacyclic triterpene natural product initially identified as a melanoma-specific cytotoxic agent that exhibits low toxicity in animal models. Subsequent studies show that betulinic acid induces apoptosis and antiangiogenic responses in tumors derived from multiple tissues; however, the underlying mechanism of action is unknown. Using LNCaP prostate cancer cells as a model, we now show that betulinic acid decreases expression of vascular endothelial growth (VEGF) and the antiapoptotic protein survivin. The mechanism of these betulinic acid–induced antiangiogenic and proapoptotic responses in both LNCaP cells and in tumors is due to activation of selective proteasome-dependent degradation of the transcription factors specificity protein 1 (Sp1), Sp3, and Sp4, which regulate VEGF and survivin expression. Thus, betulinic acid acts as a novel anticancer agent through targeted degradation of Sp proteins that are highly overexpressed in tumors. [Cancer Res 2007;67(6):2816–23]
Designing a Model for Energy Efficient and Secured Data Communication Using RSA Algorithm in Wireless Sensor Networks

Sensor network is used in various military applications which demand protection against eavesdropping. Therefore some sensor networks need secured data communication from sources to base stations. As sensor networks adopts multihop routing from sources to the base station, and that there are no central authority in between, securing such a network is challenging. In this work we first propose a clustering based technique for routing. Clusters are dynamically formed before every round of transmission. Every cluster has a cluster head which can manage the keys locally. as every cluster has independent time schedule, public key cryptography with symmetric keys is essential. Therefore we use RSA algorithm along with RSA based system for a secured sensor network.
Genomic selection and assisted reproduction technologies to foster cattle breeding

Genomics has been propagated as a “paradigm shifting” innovation in livestock during the last decade. The possibility of predicting breeding values using genomic information has revolutionized the dairy cattle industry and is now being implemented in beef cattle. In this paper we discuss how genomics is changing cattle breeding through genomic selection, and how this change is creating new ways to articulate assisted reproduction technologies with animal breeding. We also debate that the scientific community is still starting the long journey to reveal the functional aspects of the cattle genome, and that knowledge in this field is the frontier to a whole new venue for the development of novel applications in the livestock sector.
A novel single nucleotide polymorphism of the POU1F1 gene associated with meat quality traits in rabbits

Abstract The purpose of this research was to investigate the effect of the POU1F1 gene on meat quality traits in the Hyla, Champagne, and Tianfu Black rabbit breeds. We detected one single nucleotide polymorphism and the SNP was located at 536 bp in intron 5 of this gene. Chi-square tests showed that the genotypic frequencies in the three rabbit populations were not in Hardy-Weinberg equilibrium. The PIC values indicated that the three populations had intermediate levels of genetic diversity. Rabbits with the CC genotype had a significantly greater pH0h than those with the CT genotype in the biceps femoris muscle. The least squares means for cooking loss in CT and CC rabbits were significantly higher than those for TT rabbits. Rabbits with the CC genotype had a significantly higher intramuscular fat content in the longissimus dorsi and biceps femoris muscles than those with genotype TT and CT. Thus, the results here indicate that this POU1F1 SNP may be of potential use in marker assisted selection for meat quality traits in rabbits.