Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of physiology in the formation of Prochlorococcus sub-surface maxima in the Sargasso Sea

Prochlorococcus marinus is a unicellular cyanobacterium that can account for a large share of primary production in oligotrophic environments. Using the contrast between shallow and deep Prochlorococcus concentrations in the summertime Sargasso Sea as a model system, we tested the importance of physiological factors in controlling Prochlorococcus abundance in this environment. Prochlorococcus growth rates were measured using a cell cycle-based approach. We found that growth rate did not vary consistently with depth, nor was it related to ambient Prochlorococcus concentration. Thus in some cases growth rate was highest at the subsurface Prochlorococcus maximum, while in others it was highest in shallower water, where Prochlorococcus concentrations were relatively low. We conclude that physiological factors alone are insufficient to explain depth-related differences in Prochlorococcus abundance, and that top-down factors such as grazing and viral lysis likely exert a strong influence on Prochlorococcus dynamics.
ISTA proficiency test 17-2 germination results of white clover seed

The presence of hard seeds as a result of water impermeable seed coat is common in species of Fabaceae family. For wild plants, this characteristic allows better survival, but for agriculture production, hard seeds are undesirable, due to delayed and uneven germination. In seed testing laboratory several pre-treatments (pre-chill, mechanical scarification) can be applied for germination testing of these species. In this paper, Proficiency test 17-2 germination results of Trifolium repens seeds conducted in 150 laboratories around the world are presented. Those tests are organized by the International Seed Testing Association (ISTA) and are mandatory for all accredited laboratories. In this way laboratory’s competence (staff, apparatus, test methods) is checked. In August 2017, samples of three Trifolium repens seed lots were distributed. In the Seed Testing Laboratory at the Maize Research Institute Zemun Polje (LIZP), germination was tested in September using mechanical scarification and pre-chilling (2 days at 5-10°C) prior to germination at 20°C. Among 90 accredited participants, only one more laboratory applied mechanical scarification, 42 laboratories did not use any pre-treatment, and 39 laboratories applied pre-chilling. Obtained germination results in LIZP (Lot1-84.50%, Lot2-84%, Lot3-88.50%) were higher than overall mean (Lot1-76.95%, Lot2-79.63%, and Lot3-83.27%). The main conclusion of this Proficiency test is that seed scarification significantly reduced the number of hard seeds in favour of normal seedlings. The reason for the rare application of scarification may be the requirement of the applicant to obtain adequate information regarding the number of hard seeds that will appear during seed sowing.
DOA Estimation for Coexistence of Circular and Non-Circular Signals Based on Atomic Norm Minimization

In this paper, a gridless DOA estimation method with coexistence of non-circular and circular signals is proposed by employing an enhanced sparse nested array, whose virtual array has no holes. The virtual signals derived from both sum and difference co-arrays are constructed based on atomic norm minimization. Simulation results are provided to demonstrate the performance of the proposed method.
A novel prognostic predictor for clear cell renal cell carcinoma constructed by weighted gene co-expression correlation network analysis

Background Clear cell renal cell carcinoma (ccRCC) accounts the largest proportion of all types of renal tumor, it is highly invasive leading to shorter survival time of patients suffer from tumor. This study aims at constructing a new prognostic signature to provide a new reference for clinic work to adjust treatment protocols. Material and Methods Comprehensive gene expression profiles of ccRCC were downloaded from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA), a genome-wide profiling analysis, was applied to investigate key genes associated with clinical traits. Cox regression analysis was conducted to screen prognostic gene in ccRCC. LASSO analysis was used to enhance the robust of correlated genes. Then, a prognostic signature was developed as an independent factor to predict outcomes of ccRCC patients. Results The co-expression network was constructed by WGCNA, 26 modules were identified in total, including a module (grey) showed no significance. By associating the features with clinic features, we selected three modules (pink, purple and turquoise) significantly associated with the overall survival(OS) of ccRCC patients. Univariate Cox analysis for genes from each module separately and then we used LASSO regression to screen the significant genes for selecting potential prognosis element-genes. 8 genes (CAPRIN2, IFI44, LTV1, ZNF320, MTHFR, XPOT, BCL3 and PAX2) finally reserved by multivariate COX regression. ScoreW was defined as a prognosis modelestablished by the final potential prognosis 8 genes. Multivariate regression suggested the ScoreW was an independent prognosis predicting element. ROC curve method was performed and the AUC value of ScoreW showed satisfied and attractive clinical prognosis importance. Conclusion Our findings provided the framework of co-expression gene modules of ccRCC and identified valuable prognostic method might be detection for ccRCC patients.
Managing, Profiling and Family Support of Malaysian Women Drug Abuse Inmates

Women engaging in the use of drugs have not only adverse effects on the country but also impose significant challenges in managing their incarceration and maintaining stable family structures. The review, therefore, aims to identify the approach of Malaysian Prison Department (PRIDE) in managing women’s drug abuse inmates as well as to explore their addiction experiences and, to determine the extent of family relationships they have by applied quantitative approach and cross-sectional analysis. One hundred fifty women respondent selected from the random stratified sample of Kajang Women Prison, Selangor inmates. Data then analyzed by using descriptive analysis. Results from this study provide an insight into the practical method by PRIDE to reduce demand through drug treatment and rehabilitation and to reduce supply and improving detection. The results of the study showed that majority of the respondents were Malay, Muslim, age range between 31 to 40 years, highest education level at SPM/MCE/SPVM and still single. More than half of the respondents were self-employed with monthly income between RM1001.00 to RM2000.00. A majority had been imprisonment between two to five times, with six to ten years length of addiction and, methamphetamines become the most drug had been abuse. Finding also showed that the majority of drug inmates engaged in a high level of family relationship. Findings from this research yielded vast implications to improve drug abuse safety and security as well as treatment and rehabilitation programs, particularly among women drug abuse inmates in Malaysia.
Study on Emotion Recognition for Gauging Performance of Supervised Machine Learning Algorithms

: The face is an index of the mind, but it is a word that really illuminates the emotions. Many emotions are hidden in subjective posts. Once recognised, these emotions serve as the knowledge base for many organizations. Many business decisions are based on these feelings. To make a decision, there is a need to identify users’ emotions. Organizations that make emotional decisions could be profitable when the emotions are correctly identified. This paper uses supervised machine learning algorithms to accurately predict the sentiment of Twitter messages. This paper also aims to compare machine learning algorithms to predict the emotion, to generate the score generated by the model, and to compare the performance of the algorithms.
Determination of Optimum Rotation Age of Populus Deltoides Plantation in Regard to Economic Value of Carbon Sequestration

This research considers the optimal rotation age regarding to the carbon sequestration value in populous deltoides plantation in Choobar located in Guilan Province, north of Iran. First, the volume increment is determined by stem analysis method and carbon sequestration is determined by combustion in an electric oven. Then, Net present value (NPV) of carbon is calculated by using volume increment, carbon amount, interest rate, adjusted price of carbon and net revenue in order to determine the optimal rotation age. Faustmann model was used in order to determine the optimal rotation age. Data such as volume increment, carbon content, revenue, timber and carbon prices are used to estimate the NPV. The study also evaluates the effects of different cost of plantation and discount rates on the optimal rotation ages using NPV approach. Results showed that when economic value of carbon sequestration is considered, optimal rotation ages is 27 years. Sensitivity analysis is done for interest rate, cost of plantation, and carbon price. As cost of plantation increases, the optimal rotation age also increases and the net present value decreases. With the increase in carbon prices, the age of optimal rotation age decreases and the net present value increases.
Improved β-catenin detection in spinal cord tissue sections: autofluorescence quenching

Experimental studies on spinal cord regeneration are focusing on the windows of opportunity to improve spinal cord microenvironment via spinal-centric repair pathways. One pathway of particular interest is the Wnt/β-catenin signalling pathway which plays a vital role in axonal guidance, synaptic assembly and function, neuronal survival and connectivity after spinal cord trauma to induce repair. Upregulation of β-catenin expression is often taken as evidence of regeneration mechanisms through the Wnt/ β-catenin pathway. However, these studies may not have optimised the staining protocol for β-catenin to enable accurate detection of the protein. Given possible issues with the background or endogenous tissue autofluorescence, there is a need to optimise the protocol further to allow better visualisation of β-catenin. So far, there are no studies which report optimising spinal cord tissues for β-catenin to reduce autofluorescence, and as β-catenin is widely used in spinal cord injury (SCI) and other spinal cord tissue studies, thus it is an important issue to address. To achieve reliable detection and localisation of β-catenin, we utilised sequential quenching techniques using 1% NaBH4 and 1mM CuSO4 in 50mM ammonium acetate buffer to reduce both background and fixative-induced autofluorescence. Our results showed that sequential autofluorescence quenching is crucial in β-catenin detection, and this improved technique indicates that β-catenin is localised in the spinal cord white matter regions. Objective approach for the β-catenin localisation is highly significant as it unravelled an objective identification and illuminate the pattern of distribution of β-catenin for researcher focusing on spinal cord repair studies via the Wnt/β-catenin pathway following SCI.
Alpha Stable Distribution Based FARIMA Modeling and Forecasting for Network Traffic Data

Through research on network traffic in recent years, it is found that actual network traffic not only has long correlation but also has heavy-tailed characteristics. The Alpha stable distribution provides a very useful theoretical tool for such processes. According to the nature of the Alpha stable distribution, we need to improve the relevant parameter value method of the Fractional Autoregressive Integrated Moving Average model and improve the prediction accuracy of the model. In this paper, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average modelling method is introduced, and the validation of the method is analyzed using Fractional Gaussian Noise time series and impulse noise corrupted Fractional Gaussian Noise time series. Finally, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average model is applied to BC-p Aug89.TL data provided by Bell Labs. The analysis shows that the improved Fractional Autoregressive Integrated Moving Average model has a better prediction effect on actual network traffic and is a more representative research method.
EFEKTIVITAS SPKT DALAM LAYANAN KEPOLISIAN

Sentra Pelayanan Kepolisian Terpadu (SPKT) pada Kesatuan Kewilayahan, merupakan unsur pelaksana tugas pokok memberikan pelayanan terpadu kepada masyarakat baik di tingkat Polda, Polres maupun Polsek. SPKT dalam penyelenggaran fungsi pelayanan Kepolisian kepada masyarakat secara terpadu belum dilaksanakan secara maksimal oleh semua satuan pelayanan baik tingkat Polda dan Polres dimana masih berada di fungsinya masing masing sehingga realisasi amanat Perkap belum secara penuh dilaksanakan. Ditemukan beberapa satuan Polres yang sudah melaksanakan pelayanan terpadu dalam pelaksanaan pelayanan dan sebagai pintu gerbang pelayanan Kepolisian menuju pelayanan prima. Tujuan penelitian ini Bagaimana implementasi SPKT dalam pelayanan Kepolisian (Perkap 22 Tahun 2010, Perkap 23 Tahun 2010 dan Perpol 14 Tahun 2018)? , Bagaimana faktor-faktor yang mempengaruhi efektivitas SPKT? , Bagaimana mengefektivitaskan SPKT dalam pelayanan Kepolisian? Penelitian dilakukan dengan metode kualitatif yang dimana diawali dengan kajian pustaka dan dilanjutkan dengan pelaksanaanya dilaksanakan dengan Focus Group Discussion (FGD) dengan wawancara mendalam dan observasi pengamatan terhadap fasilitas SPKT. Hasil dari penelitian ditemukan bahwa implementasi Perkap masih belum dimaksimalkan secara baik oleh Polda dan Polres, kedua faktor-faktor yang mempengaruhi ketidakefektifkan SPKT antara lain personel, sarana transportasi, belum ada penganggaran di DIPA, dan Gedung SPKT yang belum maksimal, dan yang ketiga bahwa untuk memaksimalkan pelayanan SPKT sebaiknya perubahan Perkap 23 Tahun 2010 dengan menghapuskan SP2HP, SKLD, dan Turjawali, perubahan struktur SPKT menjadi pangkat Kompol, membuka ruang jabaatan kasubbag yanpol, menganggarkan di dalam DIPA, dan prototipe Gedung SPKT sesuai amanah Perkap.
Function of 5-Hydroxytryptamine Type 3 Receptors-A Computational Approachq

This study investigates the function of 5-HT type 3 (5-HT3) receptors using a computational approach. Antagonists of the 5-HT3 receptor are currently one of the most effective therapeutic agents in treatment of chemotherapy-induced nausea, vomiting, and irritable bowel syndrome. Several experimental studies have shown the effect of pharmacological agents such as 9-tetrahydrocannabinol (THC), the psychoactive component of Cannabis, Cannabidiol (CBD), a non-psychoactive ingredient of Cannabis plant, Menthol, Propofol, and etc. on the functional human 5-HT3 receptors expressed in Xenopus oocyte as well as rat nodose ganglion neurons. 5-HT evoked currents recorded by a two-electrode clamp technique were inhibited by ligands in a concentration dependent manner. Simulations of allosteric inhibition were modeled using Vina docking techniques with the 5-HT3 structure. The 5-HT3 structure was found using homology sequence similarity techniques with the neuronal nicotinic acetylcholine receptor (nACH) and inhibitory neurotransmitter receptor for GABA (A). Results of studies with other members of the super family of ligand gated ion channels signified key residues involved in ligand binding sites within the transmembrane region of 5-HT3. Flexible and rigid docking simulations around key residues resulted in a number of low-energy (high affinity) configurations of ligand binding. The predicted residues TYR and THR may constitute a naturally occurring binding site for 5-HT3.
Impact of the Quasi-Biennial Oscillation on the boreal winter tropospheric circulation in CMIP5/6 models

<p>Using 17 CMIP5/6 models with a spontaneously-generated quasi-biennial oscillation (QBO)-like phenomenon, this study explores and evaluates three dynamical pathways for impacts of the QBO on the troposphere: (i) the Holtan-Tan (HT) effect on the stratospheric polar vortex and the northern annular mode (NAM), (ii) the subtropical zonal wind downward arching over the Pacific, and (iii) changes in local convection over the Maritime Continent and Indo-Pacific Ocean. More than half of the models can reproduce at least one of the three pathways, but few models can reproduce all of the three routes. Firstly, most models are able to simulate a weakened polar vortex during easterly QBO (EQBO) winters, in agreement with the observed HT effect. However, the weakened polar vortex response during EQBO winters is underestimated or not present at all in other models, and hence the QBO &#8594; vortex &#8594; tropospheric NAM/AO chain is not simulated. For the second pathway associated with the downward arching of the QBO winds, seven models incorrectly or poorly simulate the extratropical easterly anomaly center over 20&#8211;40&#176;N in the Pacific sector during EQBO, and hence the negative relative vorticity anomalies poleward of the easterly center is not resolved in those models, leading to an underestimated or incorrectly modelled height response over North Pacific. However the other ten do capture this effect. The third pathway is only observed in the Indo-Pacific Ocean, where the strong climatological deep convection and the warm pool are situated. Nine models can simulate the convection anomalies associated with the QBO over the Maritime Continent, which is likely caused by the near-tropopause low buoyancy frequency anomalies. No robust relationship between the QBO and El Ni&#241;o&#8211;Southern Oscillation (ENSO) events can be established using the ERA-Interim reanalysis, and nine models consistently confirm little modulation of the ocean basin-wide Walker circulation and ENSO events by the QBO. </p>
PCA of various component traits on yield in elite linseed (Linum usitatissimum L.) genotypes

The current study was conducted with the objective to determine the direct and indirect effects of different component traits on seed yield using PCA (path coefficient analysis) to select the most promising genotypes for their subsequent future use in fifty two elite linseed genotypes. The present experiment was conducted with the materials (48 genotypes and 4 checks) which were evaluated in randomized block design with two replications at EB-II section of the Department of Plant Breeding and Genetics, OUAT, Bhubaneswar during rabi, 2016-17.The total number of branches per plant is the trait that exhibited highest positive direct effect on seed yield both at genotypic and phenotypic level. Out of several characters under study, days to maturity exhibited highest indirect effect on yield via days to 50% flowering in normal sown condition.
TOTAL FLAVONOIDS CONTENT OF SOME SEASONAL FRUITS AND THEIR BENEFICIAL EFFECTS ON CARDIOVASCULAR DISEASE: A CROSS-SECTIONAL STUDY

Objective: The present study was intended to assess the qualitative and quantitative analysis of some fruits available in Karachi, Pakistan. The association between the intakes of flavonoids enriches fruit and cardiovascular (CV) health was evaluated through a clinical survey. Methods: The acid-alkaline test was executed in all fruit samples. The total flavonoids content was carried out using aluminum chloride calorimetric method. A cross-sectional survey was executed from July to December 2018 among 100 cardiac patients in Karachi, Pakistan. The patient’s blood pressure was determined and categorized into normal, prehypertension, and hypertension. Descriptive statistics and Pearson’s Chi-squared test were executed to demonstrate the participants’ sociodemographic information. Results: The result revealed that the purple grapes contained an abundant amount of total flavonoid contents 192.59±1.28 as compared to green grapes and other fruits, whereas Citrus paradisi (grapefruit), Citrus reticulata (kinnow), and Punica granatum (pomegranate) contained 162.96±0.640, 151.85± 0.640, and 107.03±1.28, respectively. Moreover, Malus species, grapes (green), raspberry, and strawberry are also a good source of flavonoids. The clinical survey revealed that the majority of the respondents were male 74% while only 26% were female. The response rate was 73%. Conclusion: The finding of the present study indicated that dietary intake of fruits containing flavonoids may decrease the risk of CV disease and could contribute to promoting cardiac health.
Determination of Ethanol in a Distillate Sample of Arenga pinnata by UV-Visible Spectrophotometry

This research aimed to determinate ethanol in a distillate sample of Arenga pinnata. We have determined, by the means of spectrophotometer UV/VIS, ethanol contained by the distillation process of a series of samples. The results of these researches will analyse the ethanol contained in a distillate sample, qualitatively. Experiment method with 12 samples of Arenga pinnata series has been done. The samples found by varying day of the fermentation process and continued with the distillation process. Further, a distillate sample has been measured by UV-VIS Spectrophotometry. Wavelength 277 nm found as maximum wavelength with absorbance range (0.1 A-0.5 A). Samples in day 2nd to day 17th have these data. This means that a sample in day 2nd to day 17th of samples contained ethanol. Furthermore, the percentage of ethanol in a series of samples and the pharmacology effect of palm sugar as hypoglycaemic are still investigating in this research.
Apparatus for measuring high-flux heat transfer in radiatively heated compact exchangers

Abstract : We describe an apparatus which can deliver uniform heat flux densities of up to 80 W/cm2 over an area 7.8 cm by 15.2 cm for use in measuring the heat transfer and pressure drop in thin (6 mm or less), compact heat exchangers. Helium gas at flow rates of 0 to 40 kg/h and pressures to 6.9 MPa (1000 psi) is the working fluid. We describe the instrumentation used in the apparatus and the methods for analyzing the data. We will use the apparatus initially to test the performance of prototype cooling jackets for the engine struts of the National Aerospace Plane (NASP).
Empirical Literature on the Business Pitch: Classes, Critiques and Future Trends

The growing importance of entrepreneurship and innovation for economic growth has propitiated a discursive genre that nowadays is almost omnipresent, i.e., the pitch. As with other emerging genres used in professional settings (e.g., selling presentations, business plans, etc.), several instructional discourses regarding the pitch have come out in the form of manuals and courses offering training on “how to make a pitch more powerful”. Empirical research, however, is less common. The aim of this paper is to qualitatively review and sort out the existing empirical research on the pitch. For this, three classifying categories are proposed according to its reception (mainly by investors), the focus on discursive features, and its evolution. Finally, some critiques to the empirical research on the pitch and a description of some future trends on the field are provided. This work may be useful for professionals interested in innovation and entrepreneurship, areas in which this emerging discourse broadly circulates.