Miracle-dz/UniFAR-FTUs huggingface dataset:
Alternative responses to rare selection events are differentially vulnerable to changes in the frequency, scope, and intensity of environmental extremes

Abstract Extreme weather events are becoming more frequent, severe, and/or widespread as a consequence of anthropogenic climate change. While the economic and ecological implications of these changes have received considerable attention, the role of evolutionary processes in determining organismal responses to these critical challenges is currently unknown. Here we develop a novel theoretical framework that explores how alternative pathways for adaptation to rare selection events can influence population‐level vulnerabilities to future changes in the frequency, scope, and intensity of environmental extremes. We begin by showing that different life histories and trait expression profiles can shift the balance between additive and multiplicative properties of fitness accumulation, favoring different evolutionary responses to identical environmental phenomena. We then demonstrate that these different adaptive outcomes lead to predictable differences in population‐level vulnerabilities to rapid increases in the frequency, intensity, or scope of extreme weather events. Specifically, we show that when the primary mode of fitness accumulation is additive, evolution favors ignoring environmental extremes and lineages become highly vulnerable to extinction if the frequency or scope of extreme weather events suddenly increases. Conversely, when fitness accumulates primarily multiplicatively, evolution favors bet‐hedging phenotypes that cope well with historical extremes and are instead vulnerable to sudden increases in extreme event intensity. Our findings address a critical gap in our understanding of the potential consequences of rare selection events and provide a relatively simple rubric for assessing the vulnerabilities of any population of interest to changes in a wide variety of extreme environmental phenomena.
Managing patients’ data with clinical decision support systems: a factual assessment

ABSTRACT In assessing the benefits of using e-health systems, the main goal of this study is to evaluate the real use of the clinical decision support system (CDSS) between 2007 and 2014 in Canada’s healthcare sector. The quantitative method was based on data collected by the National Physician Survey in Canada. Results indicate that 63.8% of healthcare providers were using a CDSS at work in 2014 to help them in the decision-making process, a six-fold improvement since 2007. As for usage rate by sex, we found a statistically significant difference between men and women, with women from the Canadian physicians’ group reporting greater CDSS use than men. In all age groups, a higher percentage of younger physicians used a CDSS in their practice. A number of suggestions are put forth to improve technological infrastructure and reduce the gap among age groups, genders and specialties.
Genetic diversity of cucumber genotypes revealed by SSR markers and agronomic traits

Genetic of cucumber revealed by SSR Vol 51, Understanding the level of genetic diversity and structure of landraces is essential for economical use of genetic resources. In the present study, we investigated the genetic diversity of 36 representative sample of cucumber genotypes based on 10 quantitative traits and 17 polymorphic simple sequence repeat (SSR) markers. Our result revealed variability in flowering behavior, growth habit and fruit characters. We found that the traits, days to opening of first female flower varied from 39.03 to 51.94, fruit length 6.09 to 30.01(cm), fruit weight 104.39 to 277.05(g) and yield per plant 699.38 to 1670.93(g). Genetic distance based on 17 SSR markers among 36 genotypes was quantified ranging from 0.03 to 0.70 indicated a wide diversity among the genotypes selected for evaluation morpho-molecular characters will great interest to cucumber breeder for selection of diverse parent or production of mapping population.
Understanding genetic diversity, structure and population differentiation in selected wild species and cultivated Indian and exotic rose varieties based on microsatellite allele frequencies

Roses are the most important commercial ornamental plants grown for flowers, perfumery and nutraceutical compounds. Commercially cultivated roses (Rosa × hybrida L.) are complex interspecific hybrids probably derived from 8-10 wild species among the large diversity of 130-200 species in genus Rosa. Wild germplasm is a primary source of variability and plays a major role in improving existing varieties by broadening their genetic base. In the present investigation, we have utilized the previously identified SSR primers for studying the diversity among 148 selected rose genotypes, including wild species and cultivated varieties of Indian and exotic origin. A total of 88 alleles was scored using 30 polymorphic loci; they produced average 2.9±1 alleles per locus. Polymorphism information content (PIC) values for different SSR loci ranged from 0.08 to 0.8 with a mean value of 0.5±0.2. The neighbor-joining tree generated based on Nei’s (1978) genetic distance values grouped the population into three major clusters. Cluster-I and II consists of all modern rose cultivars (Rosa × hybrida L.) originated from India and cluster-III consists of all exotic cultivars, wild species and a few cultivars from India. STRUCTURE analysis based on microsatellite allelic data, partitioned the total rose genotypes into four different sub-populations with some individual genotypes having genomic admixture. Population subdivision estimates, FST between different subpopulations ranged from 0.01-0.15 indicates low to moderate level of divergence existing among the rose cultivars and germplasm. Population differentiation in rose cultivars and wild species corresponds to their geographical origin and lineages. Analysis of molecular variance (AMOVA) results revealed that 83.12 % of the variance was accounted for by within sub-groups followed by significant levels of variation among the populations (10.42%) and least variance (6.46%) was noticed among individuals within groups.
Novel Low Cost, Double-and-Triple-Node-Upset-Tolerant Latch Designs for Nano-scale CMOS

This paper presents two novel low cost, double-and-triple-node-upset tolerant latch designs. First, a novel low cost and double-node-upset (DNU) completely tolerant (LCDNUT) latch design is proposed. The latch mainly comprises a storage module (SM) feeding back to a 3-input C-element. The SM mainly consists of eight input-split inverters. Since the inputs of the C-element cannot be simultaneously flipped, the latch tolerates any DNU in the SM. When a single node in the SM and the output node are affected, the latch can self-recover from the DNU. Second, to completely tolerate any triple-node-upset (TNU), by replacing the C-element in the LCDNUT latch with a two-level error-interceptive module constructed from triple C-elements, a novel low cost and TNU completely tolerant (LCTNUT) latch design is proposed. Simulation results demonstrate the robustness of the proposed latches. Furthermore, due to the use of a high-speed transmission path, the clock-gating technology and fewer transistors, the proposed LCTNUT latch reduces the delay-power-area product by approximately 99.39 percent and has a low sensitivity to the process-voltage-and-temperature variation effects, compared with currently the only TNU completely tolerant latch design.
Characterization of the complete mitochondrial genome sequence of orangeline wrasse Halichoeres hartzfeldii (Bleeker, 1852) with the phylogenetic relationships within the Labridae species

Abstract The mitogenome of Halichoeres hartzfeldii is 16,481 bp in length. It consists of 37 typical vertebrate mitochondrial genes including 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA), 2 ribosomal RNA (rRNA) genes, and a control region (D-loop). The orientation and arrangement of these genes is similar to that of the other sequenced Labridae mitogenome. The overall base composition of the mitogenome of H. hartzfeldii is biased towards A +T content at 52.9%. Phylogenetic analysis based on 13 concatenated PCGs nucleotide sequences indicated that the genome of H. hartzfeldii is closely related to the genus Halichoeres.
Complete chloroplast genome of Dendrobium thyrsiflorum (Orchidaceae)

Abstract Dendrobium thyrsiflorum H. G. Reichenbach ex André is an endemic herb with ornamental and medicinal orchid value distributed in Southeast of Yunnan of China. Here, we report and characterize the complete chloroplast (cp) genome sequence of D. thyrsiflorum in order to provide genomic resources helpful for its identification, conservation and utilization. The complete cp genome of D. thyrsiflorum is 160,123 bp, including one large single-copy region (LSC, 88,001), one small single-copy region (SSC, 21,142), and two inverted repeat regions (IRs, 25,490). The cp genome contains 143 genes, consisting of 110 unique genes (80 protein-coding genes, 26 tRNAs, and 4 rRNAS). The phlyogenetic relationships show that D. thyrsiflorum is closely related to other species of Dendrobium.
DETEKSI PENJUALAN DAGING AYAM TIREN DI EMPAT PASAR TRADISIONAL KOTA DENPASAR

Ayam tiren pada dasarnya adalah ayam bangkai yaitu ayam yang mati bukan karena disembelih, melainkan ayam yang sebelumnya telah mati disebabkan daya tahan yang kurang baik selama perjalanan atau terkena penyakit kemudian sengaja disembelih untuk dijual di pasar. Penelitian ini bertujuan untuk mendeteksi kemungkinan ada penjualan daging ayam mati kemarin (tiren) yang dijual di empat pasar tradisional Kota Denpasar. Metode yang digunakan dalam penelitian ini adalah metode purposive sampling dimana 72 sampel daging ayam diambil dari empat pasar tradisional di Kota Denpasar, masing-masing tiga sampel setiap pasar dengan enam kali ulangan. Variabel yang diuji dalam penelitian ini adalah deteksi ayam tiren dengan uji Malachite green dan uji pH daging ayam. Hasil penelitian didapatkan bahwa 19,44% (14/72) sampel menunjukkan uji Malachite green positif dan rataan pH daging ayam 5,93 (5,32 - 6,45). Berdasarkan hasil penelitian maka dapat disimpulkan bahwa 19,44% daging ayam yang dijual di empat pasar tradisonal di Kota Denpasar diduga ayam tiren untuk itu disarankan kepada konsumen agar lebih selektif dalam memilih daging ayam untuk dikonsumsi.
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS

Accurate prediction of pollutant dispersion is vital to the energy industry. This study investigated the Computational Fluid Dynamics (CFD) simulation of pollutant emission in a natural draft dry cooling tower (NDDCT) with flue gas injection. In order to predict the diffusion and distribution characteristics of the pollutant more accurately, Large Eddy Simulation (LES) was applied to predict the flow field and pollutant concentration field and compared with Reynolds Average Navier-Stokes (RANS) and Unsteady Reynolds Average Navier-Stokes (URANS). The relationship between pollutant concentration pulsation and velocity pulsation is emphatically analyzed. The results show that the flow field and concentration field simulated by RANS and URANS are very close, and the maximum value of LES is about 43 times that of RANS and URANS for the prediction of pollutant concentration in the inner shell of cooling tower. Pollutant concentration is closely related to local flow field velocity. RANS and URANS differ greatly from LES in flow field prediction, especially at the outlet and downwind of cooling tower. Compared with URANS, LES can simulate flow field pulsation with a smaller scale and higher frequency.
Evaluating MCC-PHAT for the LOCATA Challenge - Task 1 and Task 3.

This report presents test results for the \mbox{LOCATA} challenge \cite{lollmann2018locata} using the recently developed MCC-PHAT (multichannel cross correlation - phase transform) sound source localization method. The specific tasks addressed are respectively the localization of a single static and a single moving speakers using sound recordings of a variety of static microphone arrays. The test results are compared with those of the MUSIC (multiple signal classification) method. The optimal subpattern assignment (OSPA) metric is used for quantitative performance evaluation. In most cases, the MCC-PHAT method demonstrates more reliable and accurate location estimates, in comparison with those of the MUSIC method.
Viability of a drug-resistant HIV-1 protease mutant: structural insights for better antiviral therapy

These plots are drawn for all protein, RNA and DNA chains in the entry. The (cid:28)rst graphic for a chain summarises the proportions of the various outlier classes displayed in the second graphic. The second graphic shows the sequence view annotated by issues in geometry. Residues are color-coded according to the they least
Interleaved soft switching resonant converter with a small input ripple current

ABSTRACT An interleaved frequency control soft switching converter is studied for solar power or fuel cell power applications. The proposed circuit topology contains two parallel current-fed circuit cells with interleaved pulse-width modulation operation. Thus, the ripple currents at input and output terminals are decreased. In each circuit cell, the proposed current-fed dc-dc converter includes boost circuit and resonant circuit to achieve current ripple-free on low voltage side and less switching losses on active devices. The boost circuit and the resonant circuit have same active devices to decrease power switches. Due to the resonant behaviour, the reverse recovery current loss on secondary diodes is removed. The voltage doubler circuit topology is accomplished on secondary-side to reduce diode counts and conduction loss. The performance and effectiveness of the developed interleaved PWM current-fed converter are verified and confirmed by experiments.
Variation in the Canadian Fire Weather Index Thresholds for Increasingly Larger Fires in Portugal

Forest fire management relies on the fire danger rating to optimize its suite of activities. Limiting fire size is the fire management target whenever minimizing burned area is the primary goal, such as in the Mediterranean Basin. Within the region, wildfire incidence is especially acute in Portugal, a country where fire-influencing anthropogenic and landscape features vary markedly within a relatively small area. This study establishes daily fire weather thresholds associated to transitions to increasingly larger fires for individual Portuguese regions (2001–2011 period), using the national wildfire and Canadian fire weather index (FWI) databases and logistic regression. FWI thresholds variation in relation to population density, topography, land cover, and net primary production (NPP) metrics is examined through regression and cluster analysis. Larger fires occur under increasingly higher fire danger. Resistance to fire spread (the fire-size FWI thresholds) varies regionally following biophysical gradients, and decreases under more complex topography and when NPP and occupation by flammable forest or by shrubland increase. Three main clusters synthesize these relationships and roughly coincide with the western north-central, eastern north-central and southern parts of the country. Quantification of fire-weather relationships can be improved through additional variables and analysis at other spatial scales.
Improving Data Integrity of Individual-based Bibliographic Repository Using Clustering Techniques

This paper presents a method to improve data integrity of individual-based bibliographic repository. Integrity improvement is done by comparing individual-based publication raw data with individual-based clustered publication data. Hierarchical Agglomerative Clustering is used to cluster the publication data with similar author names. Clustering is done by two steps of clustering. The first clustering is based on the co-author relationship and the second is by title similarity and year difference. The two-step hierarchical clustering technique for name disambiguation has been applied to Universitas Sriwijaya Publication Data Center with good accuracy.
Determination of heavy metals in drinking water and their adverse effects on human health. A review

The toxicity of heavy metals in drinking water has turned out to be a serious danger for human being and there are numerous problems related to it. Therefore, this study is conducted to explain the heavy metals contamination in drinking water and their related health effects. The dangerous impacts of these metals, without any biological role, exist in minor or another form perilous for man and its body functioning. Either they may work as a pseudo constituent of the body or may interfere with the metabolic activity of human body. Scarcely, any metal like aluminum can be expelled from water through various techniques while few metals get gathered in the body and evolved way of life, displaying a perpetual nature. Different general procedure have been adopted to control as well as to treat metal poisonous quality happening at different dimensions, for example, word related exposure, mishaps and natural factors. Metal lethality relies on the consumed portion, the course of exposure and span of contact, like intense or incessant. This can lead to different disarranges and can likewise result in over the top harm because of oxidative stress initiated by free radical generation. However, this review states the assessment of heavy metals in drinking water and their adverse health effects on human beings. This study will help researchers to acquire knowledge about heavy metals found in drinking water.
POINT SOURCE EXPLOSION IN AIR

Using a high speed JOHNNLLC computer and a program which allows the solution of the partial differertial equations governing hydrodynamic motion in spherical geometry, the problem of the blast wave from a point source in air was carried out. The methods are described and the equation of state for air is given. The results of the particular solution for a point source is covered, giving shock values of pressure, density, particle velocity, temperature and dynamic pressure as functions of the shock radius and of the peak overpressure. The time histories of the same variables are given for a number of distances from the source, as well as values of the durations of positive phases and impulses from overpressure and from dynamic pressure. (auth)
Proposed Approach of Detecting Facial Emotion using Neural Network and Representational of HOG Features

The subject of emotion detection from digital image has gained exceptional importance in recent years due to the expansion of visual applications in variowefields of life. With respect to the emotion of human face, the matter becomes more complex according to its variety. At the same time, this matter becomes easier if the computerized technique is used to learn most known emotions and then detect it in the final imaging system. In this paper, a new approach for detecting emotion of human face has been proposed using artificial neural network (ANN). This network is feed by a set of histogram of gradient (HOG) features, as a representative reference to describe the entire emotion. The determining of HOG features is limited to specific region of the face within the digital image. This region is designed to take T shape which covers main parts of human face (eye, noise, mouth, and eyebrow) that are changed with emotion type. The proposed approach is evaluated by standard emotion dataset (JAFFE) in both phases of ANN (training and testing). The simulation results view significant percentage of accuracy in comparison with the existing technique of emotion detection.
Native oxide decomposition and local oxidation of 6H-SiC (0001) surface by atomic force microscopy

We have observed the native oxide decomposition and local oxide growth on 6H-silicon carbide (0001) surface induced by atomic force microscopy (AFM). When the biased AFM probe was scanned over surface areas, native oxide was decomposed and assembled into protruded lines. The decomposition is accompanied by simultaneous graphitization of the scanned areas, leading to metal–semiconductor contact as evidenced in I–V characteristics. When the probe was immobilized and longer bias duration applied, direct oxidation of silicon carbide (SiC) surface was achieved. The dielectrical properties of AFM oxide on SiC were also investigated in terms of interface barrier height.
Agricultural Pest Image Segmentation Based on Neighborhood Algorithm

Image segmentation is a key technology in image processing and computer vision systems. The effect of the image segmentation effect directly affects the analysis of subsequent images and the accuracy of the understanding. Therefore, for the agricultural pest image cannot distinguish the adjacent gray value when segmentation, this paper proposes a neighborhood algorithm. The algorithm of neighborhood segmentation determines the neighborhood of the pixel. In order to verify the effectiveness of the algorithm, this paper compares with K-means algorithm, DBSCAN algorithm, SNC algorithm, DMHAC algorithm and STING algorithm. Objective analysis indicators were measured by normalized correlation coefficient, segmentation time and segmentation accuracy. The verification results show that this method has achieved good results under these three indicators. The normalized correlation coefficient is close to 1, the time of segmentation consumption is the smallest and the accuracy is the highest among all methods. The effectiveness of the proposed algorithm is verified by experiments.
Growth performance of post-weaned Holstein male calves
accelerated by branched-chain volatile fatty acids addition
with up-regulated hepatic mTOR expression
via insulin and insulin-like growth factor-1 (IGF-1) signalling pathway

The demand for beef in the market is still increasing, and therefore the part of beef production comes from dairy male calves. Thus studying the growth promoting mechanism of feed additives in dairy male calves is necessary. During the growth period, mammalian target of rapamycin (mTOR) plays a key role in regulating protein synthesis via activating through its downstream genes, eukaryotic translation initiation factor 4E-binding protein 1 (4EBP1) and ribosomal protein S6 kinase ABSTRACT. The study evaluated the effects of branched-chain volatile fatty acids (BCVFA) addition on growth performance, ruminal fermentation, nutrient digestibility, hormone secretion and hepatic gene expression in dairy calves. Thirty-six Holstein male calves (45 ± 3.5 days of age; 56 ± 1.8 kg body weight) were randomly assigned to four groups: control, low-BCVFA (LBC), mediumBCVFA (MBC) and high-BCVFA (HBC) with 0, 1.5, 3.0 and 4.5 g BCVFA per kg dietary dry matter (DM), respectively. Supplemental BCVFA was premixed into concentrate of the ration. DM intake and average daily gain (ADG) were increased, and feed conversion ratio was decreased in MBC and HBC groups in comparison to control one. In MBC and HBC groups ruminal pH and ammoniaN were lower, whereas total volatile fatty acids concentration was higher than in control group. Acetate:propionate ratio and digestibility of DM, organic matter, crude protein, ether extract, neutral detergent fibre and acid detergent fibre were higher in MBC and HBC groups than in control one. Blood concentration of glucose, albumin, growth hormone releasing hormone, growth hormone (GH), insulin (INS) and insulin-like growth factor-1 (IGF-1), and hepatic mRNA abundance of GH, INS, IGF-1, receptors of GH, INS and IGF-1, mammalian target of rapamycin (mTOR), eukaryotic translation initiation factor 4E-binding protein 1 and ribosomal protein S6 kinase were higher in MBC and HBC than in control group. It was indicated that BCVFA addition increased ADG by stimulating feed intake, ruminal fermentation, nutrient digestion and hepatic mTOR expression, and the optimum dose of BCVFA was 3.0 g/kg DM under the current experimental conditions. Received: 7 October 2018 Revised: 25 July 2019 Accepted: 16 September 2019