Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the olive genome

The olive tree (Olea europaea, Oleaceae) is an iconic plant of Mediterranean countries for cultural, historical and biological reasons. The olive species comprises six subspecies (europaea, maroccana, cerasiformis, laperrinei, guanchica, and cuspidata) that together form the so-called O. europaea complex. Likewise, the subsp. europaea is divided into two taxonomic varieties: var. europaea, that comprises all the cultivated forms, and var. sylvestris (also called oleaster), that includes the wild forms. The olive tree has been intensively cultivated since 6,000 years ago, coinciding with the emergence of early Mediterranean civilizations. Because of the interest of the drupes both as table olives and as raw material to produce olive oil, the olive tree is an essential crop across the Mediterranean basin. This doctoral thesis aims to provide insights into the biology and the evolution of the cultivated olive and relatives. To this end, we sequenced, assembled, and annotated a reference genome obtained from a single individual (O. europaea L. var. europaea). Phylogenomic analysis and assessment of allelic relative coverage suggest up to four polyploidization events in the evolutionary history of the olive. Two ancient allopolyploidization events at the base of the family Oleaceae (Eocene-Late Cretaceous), and the tribe Oleeae (Oligocene-Miocene), followed by two polyploidizations in the ancestor of O. europaea (Miocene-Pliocene) since its divergence from Phillyrea angustifolia. In order to study the diversity and phylogenetic relationships in the O. europaea complex, we additionally sequenced the genome of at least one individual per subspecies. Our results show that cultivated olive trees exhibit less nucleotide diversity when compared with wild relatives. Different sets of genes were found to be under positive selection in each cultivar included in this study (‘Arbequina’, ‘Beladi’, ‘Farga’, ‘Picual’, ‘Sorani’). In addition to hybridization involving polyploidization (allopolyploidization), phylogenomic analysis revealed extensive homoploid hybridization among lineages of the O. europaea complex, which results in a continuous gene flow from wild to domesticated olive trees. In particular, cv. ‘Farga’ has a different origin than the other cultivars included in this study, and shows evidence for secondary domestication events in the Iberian Peninsula. In summary, this study helps unravel the evolutionary history of O. europaea, and uncover a complex scenario of polyploidization and hybridization that resulted in recurrent gene duplications.
Orientation-selective adaptation improves perceptual grouping

The role of visual pattern adaptation, and learning, in spatial integration was investigated. Observers reported whether a grid of identical tilted bars is perceived as rows or columns (perceptual grouping task). Performance was measured multiple times during a session to determine effects of repeated exposure to the stimuli. To test for possible effects of learning on the within-session dynamics, observers repeated the experiment on five days. We found that repeated performance produced rapid within-day improvements, which were largely transient, and were not retained when tested on subsequent days. In addition, exposure to stimuli with equal orientation contributed to the within-session improvement, whereas stimuli having an orientation differing by 45° from the original orientation diminished the improvement previously obtained in the same session. Practice with the task, over days, resulted in faster improvements. The transient nature of these exposure driven improvements and their susceptibility to interference by stimuli designed to reduce adaptation suggest that adaptation was their main cause. Finally, to investigate the effects of adaptation on internal noise and on spatial integration, we employed an external noise paradigm, showing that internal noise reduction resulted from adaptation. Internal noise was reduced only when spatial integration was effective, suggesting that adaptation improved perception of global stimulus properties. Overall, our results suggest that the grouping task benefits from an adaptation process that rapidly adjusts the visual system to the statistics of the visual stimuli. We suggest that this effect is achieved through spatial decorrelation of neural responses. With practice, those adjustments are made faster.
FORCED CONVECTION HEAT TRANSFER CHARACTERISTICS OF POLYPHENYL REACTOR COOLANTS

In support of the Organic Moderated Reactor Experiment, forced- connection heat transfer characteristics of several polyphenyls have been investigated in a laboratory heat transfer loop. Heat transfer runs were made with dipbenyl, Santowax R (commercial mixture of terphenyl isomers), and a 2: 1 mixture of Santowax 0 (commercial ortho-terphenyll and Santowax M (commercial metaterpbenyl). The operating conditions were as follows: fluid temperatures, 480 to 770 deg F; heater surface temperatures, 565 to 875 deg F; fluid velocities, 5 to 25 fi/sec; heat fluxes, 40,000 to 290,000 Btu/hr-ft/sup 2/; and Reynolds number, 20,000 to 300,000. Experimental heat transfer coefficients obtained at the above conditions ranged from 340 to 2740 Btu/hr-ft/sup 2/- deg F. The data obtained during this-study were correlated by the relationship Nu = 0 Ol5Re/sup 0.85/Pr/sup 0.3. No heat transfer surface fouling, with Santowax R and Santowax 0-M as test fluids, was observed after extended runs at the following extreme conditions: fluid velocities: 5.5, 10, 15 ft/sec maximum heat transfer surface temperature: 985 deg F. (auth)
Enhanced role of private sector through public private partnerships in low income urban housing in Kenya

Low income urban housing in Kenya is underdeveloped as a result of uninnovative financing, hence the many slums and informal settlements in the country, hence the need for enhanced participation of the private sector through application of Public Private Partnerships (PPPs), which has been cited as one of the possible solutions. The purpose of this study was to investigate and make predictions of the need for enhanced role of private sector in developing low income urban housing in Kenya through PPPs. ,Delphi method of research was used to forecast the enhanced role of private sector through PPPs in the development of low income urban housing in Kenya. Three rounds Delphi iterations using three panels of housing financiers (30 in number), housing developers (28 in number) and housing practitioners (30 in number) were used. Data was collected through questionnaires throughout the three rounds, where the first round was exploratory in nature, the second round built on answers from round one, while round three was based on answers from round two, after which the mean and standard deviation values were calculated to show the level of consensus. ,Results showed that PPPs is one of the plausible ways through which low income urban housing in Kenya can be developed to address its shortage. Private sector in PPP transaction brings innovative technology, finance and efficiency, while government brings its assets such as land and other regulations long term contracts. ,The research was focussed on the Nairobi city county area in analysing the need for enhanced role of the private parties. It focussed on a panel of Housing practitioners-officers in the State Department for housing and Nairobi city county; housing financiers and housing developers, without interviewing the beneficiaries of the method. ,It was, therefore, found out that PPPs models are applicable in developing low income urban housing because the country has the enabling environment for its effective application going forward. The implication of this study is that low income urban housing can be developed through the model. ,The slums and informal settlements will have adequate, affordable and quality housing being introduced within their neighbourhoods, which reduces political and societal animosities. ,This research has benefited from published literature on PPPs and original research on PPPs.
A Fractional Brownian Motion Model for Forecasting Lost Load and Time Interval Between Power Outages

A novel idea is proposed to forecast lost load and time interval between power outages based on the similarity between the series generated by a stochastic model and the actual series. The lost load obeys a power-law distribution, which can be described as a stochastic process with long-range dependence (LRD). Fractional Brownian motion (fBm) is a stochastic model with LRD, we discretize the stochastic differential equation (SDE) driven by fBm and the difference iterative equation is constructed for forecasting. By calculating the Hurst exponent of lost load series proves that it has LRD characteristics. The stochastics series produced by fBm has a strong similarity with the actual series when the Hurst exponent is taken into fBm model. Moreover, the forecasting accuracy is enriched by considering the appropriate sample size and forecasting step size. The same process for the analysis of lost load can be applied to forecast the time interval between power outages. The efficiency of the proposed model is demonstrated by a case study of the medium voltage power grid in Shanghai compared with other approaches. Finally, the value at risk (VaR) and the conditional value at risk (CVaR) as two system-level indices for assessment of future power outages.
The complete mitochondrial genomes of Parabotia lijiangensis (Cypriniformes: Botiidae)

Abstract In this study, we obtained the 16,579 base pair (bp) mitochondrial DNA sequence of Parabotia lijiangensis. The mitogenome encodes 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes, a control region, and has a nucleotide composition of A: 30.8%, T: 25.2%, G: 16.1%, and C: 27.9% (AT content: 56.0%). The complete mitogenome of P. lijiangensis provides essential and important DNA molecular data for further phylogenetic and evolutionary analysis of the Botiidae family.
Investigations on Microbial Flora Variation in Water Generated at Various Sugar Production Stages

The most important crop from which sugar can be produced in commercial quantity are sugarcane. India is a largest sugar producing country. Sugar industry has been classified in solid, liquid, and gas Pawar et al., (1998) under seventeenth categories of most polluting industries (Red industry) by the central pollution control board (CPCB) in India CREP-CPCB, (2003). Sugar mills account in the industries which discharge huge amount of effluent per day without any or partially treatment during the crushing season Vinish kathuria, (2014).
The complete chloroplast genome of Aquilaria malaccensis Lam. (Thymelaeaceae), an important and threatened agarwood-producing tree species

Abstract Known for its valuable agarwood, Aquilaria malaccensis Lam. is an evergreen tropical forest tree species endemic to the Indo-malesian region. Indiscriminate damaging and harvesting of the trees in the wild have resulted in it being listed in the CITES Appendix II for controlled trade and in the IUCN Red List as ‘Vulnerable (VU)’. In this study, the complete chloroplast genome of A. malaccensis was assembled using data from high-throughput Illumina sequencing. The chloroplast genome was 174,832 bp in size, which included two inverted repeat regions of 42,091 bp each, separated by a large single copy region of 87,302 bp and a small single copy region of 3,348 bp. A total of 139 genes were predicted, including 39 tRNA, 8 rRNA, and 92 protein-coding genes. Phylogenetic analysis placed A. malaccensis within the family Thymelaeaceae. The chloroplast genome sequence of A. malaccensis offers a useful resource for future studies on the taxonomy and conservation of the threatened Aquilaria trees.
Comparison of atomic force microscopy and zeta potential derived surface charge density

Surface charge density can be derived from atomic force microscopy (AFM) by using Derjaguin, Landau, Vervey and Overbeek (DLVO) theory. The sub-micrometer data allows observation of local differences in charge density and changes with time or solution composition, which has interesting applications in crystal growth and inhibition, bone formation and colloid behavior. To calibrate this type of AFM data and verify DLVO assumptions, it has to be correlated with an established technique. We successfully matched AFM derived surface charge densities with zeta potential measurements on a mica surface within one order of magnitude. A reproducible difference between surface charge of the mica substrate exposed to solutions cations with monovalent and divalent charge was also observed. The results provide confidence that the AFM method is valid for obtaining local surface charge information.
Gender differences and new venture performance

PurposeThis study compares the performance of female majority-owned new ventures (FNV) vs. male majority-owned new ventures (MNV). It analyzes the differences in levels of variables such as education, the same industry work experience of owners, and other venture level attributes between FNVs and MNVs. More importantly, this study employs decomposition techniques to determine the individual contribution from the intergender difference of each attribute on the performance of the new venture. For example, the study finds that, on average, the owners of an MNV possessed 3.4 years more of the same industry work experience than their FNV counterparts. This difference in work experience accounted for 47% of the “explained” gap [1] in Net Profits between the FNVs and MNVs.Design/methodology/approachThis paper utilizes the Kauffman Firm Survey, a longitudinal dataset of 4,928 new ventures started in the USA in 2004. It employs Blinder-Oaxaca and Fairlie decomposition techniques in conjunction with OLS and Logit regressions. Both methods provide point estimates of contributions to the performance gap due to the heterogeneity in each attribute across the groups (FNV and MNV). This approach has a significant advantage over OLS or mediation analysis, which can only provide a directional analysis of the contributions of differences in attributes to performance.FindingsThe paper finds no performance gap between MNVs and FNVs. It further investigates whether the heterogeneous characteristics of MNVs vs FNVs are related to different effects on survival and performance. It finds that characteristics such as owners’ work experience in the same industry, average hours worked by owners in the new venture, the technology level of the venture, and its incorporation status are related with a differential impact on new venture survival and performance.Research limitations/implicationsAll firms in the dataset belonged to a single cohort (2004) of new ventures started in the US. Future studies are encouraged to develop a dataset from multiple geographies and founding over several years so that the results may be more generalizable.Practical implicationsThe paper provides crucial practical guidance to policymakers, investors, and entrepreneurs. In general, policies that enhance the work experience of women entrepreneurs and provide access to infrastructure such as daycares, which may allow them to work more hours, would probably improve the performance of FNVs.Originality/valueThe paper furthers the literature on women entrepreneurship by analyzing point estimates of differential contribution of disparate variables to performance. From a methodological perspective, the study reconciles the results between regression and decomposition analyses.
Dampak Covid-19 terhadap Industri Minyak dan Gas Bumi: Rekomendasi Kebijakan untuk Indonesia

Industri minyak dan gas bumi berperan penting dalam ekonomi Indonesia, sebagai sumber pendapatan untuk APBN dan sumber energi (khususnya BBM) untuk menggerakkan berbagai sektor kehidupan di seluruh Indonesia. Dibatasinya pergerakan manusia secara langsung mengakibatkan penurunan permintaan terhadap BBM. Selain penurunan konsumsi, Covid-19 juga berdampak pada penurunan harga dan produksi minyak dan gas bumi, termasuk penghentian kegiatan hulu dan pengurangan kegiatan pengilangan (refinery). Rekomendasi yang dikemukakan antara lain pembentukan strategic petroleum reserves, pengkajian ulang proyek-proyek kilang minyak dan green fuel, serta tidak menurunkan harga jual BBM.
Polarization‐Independent Indium Phosphide Nanowire Photodetectors

Although semiconductor nanowire (NW) photodetectors are promising building blocks for nanoscale on‐chip optoelectronic integration applications, poor absorption, and strong light polarization dependence due to their inherent anisotropic geometry remain an issue. Here, a polarization‐insensitive photodetector is designed and experimentally demonstrated, which consists of an InP NW embedded in a dual‐split bull's eye (DSBE) plasmonic antenna. The resultant photodetector exhibits a low noise equivalent power of 0.97 pW and a photoresponsivity of 0.96 A W‐1 at 740 nm with an external quantum efficiency of 163%. Importantly, the device exhibits an ultralow polarization dependence characteristic with a polarization degree significantly reduced from 91% down to 6%. The improved performance stems from the intrinsic symmetry of the orthogonal DSBE and the strong surface plasmon coupling, which significantly boosts the optical concentration abilities at all polarization angles as compared to the bare NW photodetector. This NW photodetector‐antenna design provides a pathway for the development of high‐performance nanoscale photodetectors for applications in advanced sensing, imaging, and quantum communications.
Academic journal recommendation for human neuroimaging studies via brain activation-based filtering

The development of noninvasive neuroimaging techniques such as functional magnetic resonance imaging (fMRI) was followed by a sheer volume of human neuroimaging studies to understand mental processes, mechanisms, and diseases. Due to the information overload, it is increasingly challenging for neuroscientists to review existing academic journals and find the most suitable journal to publish their studies. Therefore, this paper proposes an academic journal recommendation model for human neuroimaging studies called brain activation-based filtering (BAF), which predicts relevant journals even before papers are written. In particular, BAF utilizes a collective matrix factorization (CMF) model that predicts relevant journals based on brain regions activated in specific neuroimaging studies. The proposed model predicts journals of published human neuroimaging studies with a reliable AUC score of 0.856 by implementing five-fold cross-validation. The implementation code is publicly available at https://github.com/JunsolKim/brain-activation-based-filtering.
Design of Heterogenous Two-Element Array Antenna on an Electrically Thick Substrate for High Isolation and Low Pattern Correlation Using Modal Difference in Radiation Patterns

In this paper, we propose a novel design of a two-element array antenna on an electrical thick substrate with an extremely narrow array distance. The proposed array consists of a rectangular ring patch printed on a thick substrate and a monopole wire in the center of the substrate. Each element has a modal difference in the radiation pattern, causing high isolation and low correlation between the array elements. From the measurement results, the monopole and patch elements exhibit reflection coefficients of −10 dB and −10.7 dB with peak gains of 3.8 dBi and 6.1 dBi, respectively, at 1.6 GHz. The mutual coupling between the two elements is −20.7 dB. For modal analysis of the antenna pattern, spherical mode decomposition is performed on the radiation patterns of the two elements, and low envelope correlation coefficient levels below 16% are maintained. We also investigate the antijamming performance using a power inversion algorithm in a practical pattern nulling application; a null depth of −47.7 dB and a null width of 33.2° are obtained when the interference signal arrives at the elevation angle of 45°.
PAZARLAMADA YENİ BİR PENCERE: DİJİTAL PAZARLAMA

Sosyal aglarin ve teknolojinin hizla gelismesi, isletmelerin tuketicilerle iletisim kurma bicimlerinde buyuk degisikliklere gitmesine neden olmustur. Internet ve dijital pazarlama, musterileri cezbetmek ve elde tutmak icin kampanyalarda onemli faktorler haline gelmistir. Dijital pazarlama bir elektronik cihaz veya internet araciligiyla yapilan tum pazarlama cabalarini icermektedir. Dijital pazarlama, urun/hizmetlerin pazarlanmasinda ve reklam faaliyetlerinde, geleneksel yontemlere gore onemli farklar yaratmaktadir ve ayrica guclu bir kurumsal imaj ve musteri memnuniyetini arttirmak icin kilit oyuncu rolunu guclendirmektedir. Dijital pazarlamanin benimsenmesi, ozellikle kucuk isletmelerin pazarlardaki zorlu rekabet sartlarinda daha uygun maliyetlerle musterilere ulasmasi, rakipleriyle ve daha buyuk isletmelerle rekabet etmesi icin kritiktir. Bu makalenin amaci, dijital pazarlamayla ilgili genis bir kavramsal cerceve olusturmaktir. Ayrica isletme yoneticilerine dijital pazarlama stratejileri, dijital pazarlama kanallari ve dijital pazarlama avantajlariyla ilgili bir rehber olusturmaktir.
First report on metagenomic analysis of gut microbiome in Island Flying Fox (Pteropus hypomelanus) revealing latitudinal correlation as opposed to host phylogeny in island populations of Malaysia

Flying fox (Pteropus hypomelanus) belongs to the frugivorous bats, which play a crucial role in maintaining proper functioning of an ecosystem and conservation of environment. Bats are well known carriers of pathogenic viruses such as BatCov RaTG13 from the coronavirus family that share 90.55% with SARS-CoV-2, the pathogen causing recent global pandemic coronavirus disease 19 (COVID-19). However, bats’ possible role as a carrier of pathogenic bacteria is less explored. Here, using metagenomic analysis through high-throughput sequencing, we explored the gut microbiome composition of different island populations on the east and west coasts of Peninsula Malaysia. The 16S rRNA gene in samples from Redang Island, Langkawi Island, Pangkor Island and Tinggi Island was amplified. Bacterial community composition and structure were analyzed with α and β diversity metrics. In contrast to recent studies of host-microbe associations in other mammals, we found no correlation between host phylogeny and bacterial community dissimilarity across four island populations. Our analyses suggest that the significant linear relationship between Redang Island and Langkawi Island implies high bacteria diversity which supporting latitudinal correlation. We found geographic locality is a strong predictor of microbial community composition and observed a positive correlation between ecological features and bacterial richness.
Analysis of The Application of Fuzzy Logic and Levenberg-Marquardt in The Calculation of Used Car Prices

In this study using two methods, namely Sugeno Fuzzy Logic and Levenberg-Marquartd methods. The data to be used is data from used Toyota Avanza cars for Medan and surrounding areas. The use of the fuzzy method in this study is based on its superiority in solving vague problems so that it is considered to be suitable for the condition of a used car in which each unit has different conditions. The results of the use of Sugeno fuzzy data obtained will be used as input into the levenberg-marquardt (LM) network which has a fairly good ability to perform calculations, especially to predict an output with a more efficient time. LM produces an output with a small Minimun Square Error (MSE) value of 3.64 in testing with 9 hidden layers. On the other hand, to analyze the resulting error, a comparison is made between networks that have 9 hidden layers, 27 hidden layers and 81 hidden layers with the smallest MSE results obtained on a network with 9 hidden layers.