Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of saprophytic microfungi application on soil fertility based on their decomposition properties

The objective of the research was to observe the effects of soil microfungi application on soil fertility. The soil fertility was determined based on nitrogen, phosphorus and potassium (NPK) content and plant (Lycopersicon esculentum Mill.) growth. Firstly, groups of microfungi were determined based on their decomposition properties on Coffea robusta. L leaf litters. The research covered several decomposition properties which were (1) substrate weight loss, (2) cellulase activity and (3) xylanase activity during the process of decomposition on the pure culture decomposition test. Secondly, the microfungi were grouped based on averages of all properties value paired in all possible ways. The result showed that there were 10 groups of fungi (P1 – P10) combined based on their decomposition ability. The groups of fungi (P1 – P10) were applied on sterile soils to determine the NPK content and on pots to observe L. esculentum Mill growth (plant height, leaf sizes, fresh and dry weight). The effects indicated majority groups of fungi were able to increase NPK content and growth parameters comparing to that of control. It concludes that the application of soil saprophytic microfungi on soils are possible to perform this process and able to increase soil fertility.
Cellular V2X Transmission for Connected and Autonomous Vehicles Standardization, Applications, and Enabling Technologies

Connected and autonomous vehicles (AVs) will need to communicate significant amounts of data to provide various safety, navigation and infotainment services to consumers. This article discusses the recent technological advances and standardization efforts in Cellular Vehicle-to-Everything (C-V2X) technologies that are being developed to support the ultra-reliable, low latency, and high throughput required by AVs. The key V2X applications and their communication requirements, with an emphasis on video delivery, are then presented. In conclusion, we highlight the primary challenges of V2X network design, and present several future research directions including the role of network intelligence to facilitate large-scale deployments of V2X applications.
Comparison of Radiation Characteristics of HfO2 and SiO2 Incorporated in MOS Capacitor in Field of Gamma and X Radiation

The paper presents the application of a numerical method for the determination of the absorbed dose rate of gamma and X radiation in the dielectric thin layer of hafnium dioxide (RfO2) or SiO2, which is located in the structure of the MOS capacitor. Considering the radiation characteristics of the selected dielectrics, it can be concluded that there are advantages of RfO2 over SiO2 in the radiation field with high-energy X-rays. Similar radiation effects should be expected for the interaction of dielectric material with gamma ray photons originating from a Co-60 source, both in the dielectric layer with SiO2 and in that with RfO2. It can be concluded that for the same radiation absorbed dose into the MOS capacitor with RfO2, there are a greater number of generated electron-hole pairs, in which case the value of effective trapping efficiency is smaller than if SiO2 was used.
K-means Sparse-coding Random Samples Raw-Image-Patch Hard-Assignment Soft-Assignment

In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to build a computational model to automatically predict human perceived image quality without a reference image and without knowing the distortion present in the image. Previous approaches for this problem typically rely on hand-crafted features which are carefully designed based on prior knowledge. In contrast, we use raw-image-patches extracted from a set of unlabeled images to learn a dictionary in an unsupervised manner. We use soft-assignment coding with max pooling to obtain effective image representations for quality estimation. The proposed algorithm is very computationally appealing, using raw image patches as local descriptors and using soft-assignment for encoding. Furthermore, unlike previous methods, our unsupervised feature learning strategy enables our method to adapt to different domains. CORNIA (Codebook Representation for No-Reference Image Assessment) is tested on LIVE database and shown to perform statistically better than the full-reference quality measure, structural similarity index (SSIM) and is shown to be comparable to state-of-the-art general purpose NR-IQA algorithms.
Emergency management for acute left main coronary artery total occlusion Akut sol ana koroner arter tikanikliğina acil yaklaşim

Background:­In this study, we described the survival rates of patients who underwent myocardial revascularization for acute left main coronary artery occlusion. Methods: Thirty-two consecutive patients who underwent surgical revascularization for acute left main coronary artery occlusion (26 males, 8 females; mean age 62.9±10.9 years; range 34 to 82 years) were included in this study. The preoperative clinical and demographic variables and postoperative follow-ups were collected retrospectively to detect predictors of outcome and risk-adjusted survival rates of the patients. Results:­ Early mortality was 37.5% with 12 patients. Early mortality rate was found significantly higher in patients above 65 years of age [OR 4.667 (1.0-21.65)] and patients with retrograde collateralization from the right coronary artery [OR 4.667 (1.01-21.65)]. Female gender [OR 1.889 (0.31-11.34)], diabetes mellitus [OR 2.692 (0.45-15.87)], hypertension [OR 1.615 (0.32-7.98)] and intraaortic balloon pump usage [OR 4.500 (0.67-29.80)] were not found as significant risk factors for early mortality (p>0.05). Conclusion:­Although the early mortality rate is high, surgical revascularization is still the standard treatment approach in patients with acute left main coronary artery occlusion. In patients with hemodynamic instability and without good collateral flow from right coronary artery, percutaneous intervention may be performed as a bridge to surgery.
Sex-specific niche partitioning and sexual size dimorphism in Australian pythons (Morelia spilota imbricata)

Sexual dimorphism is usually interpreted in terms of reproductive adaptations, but the degree of sex divergence also may be affected by sex-based niche partitioning. In gape-limited animals like snakes, the degree of sexual dimorphism in body size (SSD) or relative head size can determine the size spectrum of ingestible prey for each sex. Our studies of one mainland and four insular Western Australian populations of carpet pythons (Morelia spilota) reveal remarkable geographical variation in SSD, associated with differences in prey resources available to the snakes. In all five populations, females grew larger than males and had larger heads relative to body length. However, the populations differed in mean body sizes and relative head sizes, as well as in the degree of sexual dimorphism in these traits. Adult males and females also diverged strongly in dietary composition: males consumed small prey (lizards, mice and small birds), while females took larger mammals such as possums and wallabies. Geographic differences in the availability of large mammalian prey were linked to differences in mean adult body sizes of females (the larger sex) and thus contributed to sex-based resource partitioning. For example, in one population adult male snakes ate mice and adult females ate wallabies; in another, birds and lizards were important prey types for both sexes. Thus, the high degree of geographical variation among python populations in sexually dimorphic aspects of body size and shape plausibly results from geographical variation in prey availability. © 2002 The Linnean Society of London, Biological Journal of the Linnean Society, 2002, 77, 113–125.
High-Speed and Energy-Efficient Carry Skip Adder Using Skip Logic

In this paper, we present a carry skip adder (CSKA) structure that has a higher speed yet lower energy consumption compared with the conventional one. The speed enhancement is achieved by applying concatenation and incrementation schemes to improve the efficiency of the conventional CSKA (ConvCSKA) structure. In addition, instead of utilizing multiplexer logic, the proposed structure makes use of AND-OR-Invert (AOI) and OR-AND-Invert (OAI) compound gates for the skip logic. The structure may be realized with both fixed stage size and variable stage size styles, wherein the latter further improves the speed and energy parameters of the adder. Finally, a hybrid variable latency extension of the proposed structure, which lowers the power consumption without considerably impacting the speed, is
On the Welfare Costs of Business Fluctuations in Sweden 1970 - 2007

In this study I analyse models for computing the welfare costs of business fluctuations. Lucas’ (1987) model is very simple, as it only considers consumption fluctuations. The model proposed by Gali, Gertler and Lopez-Salido (2007) includes not only consumption fluctuations, but also fluctuations in hours worked. I apply variations of these models on Swedish data for the period 1970 – 2007. I also discuss the realism of these models. I calculate not only average welfare effects over the period, but also welfare effects of individual booms and recessions. I find small welfare effects on average. The simple calculation based on Lucas' (1987) model yields 0.01 percent of consumption, whereas the calculations based on Galis' et al. (2007) model yield between 0.02 and 0.20 percent of consumption, depending on the choice of parameter values and detrendings. However, the effect of individual booms and recessions might be large. In some of my model variations, I find a welfare cost of about 10 percent of yearly consumption for the recession of the 1990s. On the other hand, two of my model variations only give a cost of 2 percent of yearly consumption for the same recession.
Electrical impedance spectroscopy in relation to seed viability and moisture content in snap bean (Phaseolus vulgaris L.)

A method, electrical impedance spectroscopy (EIS), is introduced to study seed viability non-destructively. Snap bean (Phaseolus vulgaris L.) seeds were studied by EIS to determine the most sensitive EIS parameter(s) and the optimal range of moisture content (MC) for separation of viable and non-viable seeds. Hydrated seeds exhibited two impedance arcs in the complex plane at the frequency range from 60 Hz to 8 MHz, and impedance spectra of viable and non-viable seeds differed. The hydrated seeds were best-modelled by an equivalent electrical circuit with two distributed circuit elements in series with a resistor (Voigt model). Moisture content and seed viability had strong effects on the EIS parameters. The most sensitive EIS parameters for detecting the differences between viable and non-viable seeds were the capacitance log(C2), the resistance R2, the resistance ratio R2/R1 and the apex ratio, which all represent specific features of the impedance spectrum. The highest differentiation in the EIS parameters between the viable and non-viable seeds occurred in partially imbibed seeds between MC of 40 and 45% (fresh weight basis).
High Performance Activity Practices in Small Firms in Romania

High performance activity practices (HPAPs) are human resource management activities aimed at stimulating employee and organisational performance. The application of HPAPs is not widespread in small organisations. We examine whether the implementation of coherent bundles of HPAPs (aimed at employee ability, employee motivation or at the opportunity to perform) depends on the scarcity of resources, as reflected in the size of the company, and on strategic decision-making in small firms related to the owner’s expertise and attitudes. In our research, a total of 224 employees from 50 small organisations were asked to rate the presence of HPAPs in their organisation. These averaged perceptions were linked to information provided by the owner–managers on the size of their firm and their own expertise and attitudes. The findings support that smaller but coherent bundles of HPAPs can be found in small organisations and that the implementation of these bundles depends on available resources, strategic decision-making and the combination of the two. These findings highlight the need to integrate the notions of resource poverty and strategic decision-making to understand the uptake of bundles of HPAPs within small firms.
Introduction: The Debate on Corporate Embeddedness

Some time ago, my students and I visited the divisional headquarters (HQ) of a multinational company (MNC) to fi nd out how it organized its innovation processes. One of the company’s representatives explained that it operates in most countries of the world, that twothirds of its staff are employed abroad and that its research facilities are spread all over the world. He emphasized the strength of these foreign research and development (R&D) sites, the high technological competences of its employees, and the public support for and generally positive attitude to innovation in many foreign countries. In a publication, the company stressed the necessity ‘to think and act internationally’ because ‘the signifi cance of national economies is declining’. We were deeply impressed because obviously the company was able to make full use of the advantages of a global economy without any problems. However, the representative then explained how the innovation process was organized for one of the most successful product lines of his division and this proved to be much less internationally structured than anticipated. Most of the R&D for that product line still took place about ten miles away from the divisional HQ – close to its central production site and close to many important internal and external suppliers. Only in the last decade was a Chinese R&D unit set up for a product designated especially for the Chinese market and which took into account the specifi c budget constraints and requirements of developing countries. Even though the technological core competences of the division were still concentrated close to its HQ, six years after its foundation the foreign R&D site had developed suffi cient competences to assume a leading role in the development of a new product (although crucial decisions were still taken in the home country of the MNC). This R&D site also appeared to be much less globally organized than anticipated, as its major advantage was its local embeddedness in a publicly supported hightech cluster also accommodating public R&D facilities, production, training, regulatory agencies, important pilot clients and the R&D facilities of two of its globally most important competitors.
High-Dose Ziprasidone Monotherapy in Bipolar I Disorder Patients With Depressed or Mixed Episodes

To the Editors: Several recent studies have shown that mixed or depressive episodes in patients with bipolar I disorder can be successfully treated with atypical antipsychotic monotherapy. Randomized, double-blind, placebo-controlled trials have shown efficacy for quetiapine in bipolar depression and for aripiprazole, risperidone, and ziprasidone in bipolar mixed episodes. However, a major concern is that, in some patients, certain atypical antipsychotic agents have been associated with metabolic adverse events, such as weight gain, insulin resistance, and dyslipidemia. Guidelines from the Consensus Development Conference on Atypical Antipsychotic Drugs and Obesity and Diabetes recommend monitoring such patients closely or selecting a lower-risk agent. Among these agents, ziprasidone is known to have little or no adverse effect on body weight or metabolic parameters. Furthermore, the receptor profile of ziprasidone is predictive of antidepressant activity (it is a potent agonist at 5HT1A receptors and a modest inhibitor of serotonin and norepinephrine reuptake in vitro), although a controlled clinical trial of the drug in the treatment of bipolar depression has not yet been published. In our clinic, we have successfully used ziprasidone monotherapy to treat adult patients with bipolar I disorder who presented with mixed or depressive episodes. These patients were treatment refractory and, as such, received high doses of ziprasidone. None were considered at risk for cardiac arrhythmias, so electrocardiographic monitoring was not used. Moreover, the use of highdose ziprasidone without corrected QT interval abnormalities has been documented. The patients had also gained substantial amounts of weight on their prior (ineffective) therapies. We have observed marked clinical improvement, and substantial weight loss, with the ziprasidone treatment, presumably a reversal of medication-associated weight gain from the prior agents. We review the case reports of 4 of these patients here. In each case, ziprasidone was initially added to the patients’ existing regimen, and then the dose was titrated upward as clinically indicated. Ziprasidone was dosed twice daily with food. The goal was to taper or discontinue some or all of the ineffective medications, consistent with achieving and maintaining the best clinical outcome. Outcome measures were the Beck Depression Inventory, Second Edition (BDI-II), the Young Mania Rating Scale (YMRS), and the Clinical Global Impression–Severity (CGI-S) scale. All 4 patients achieved full remission, defined as a normalization of scores on the YMRS and the BDI-II. The meanCGI-S score dropped from 5.8 at the index visit to 1.3 at the last recorded visit (mean follow-up period, 5.8 months). Weight loss ranged from 16 to 66 lb.
Molecular Cloning , Characterization , and Expression Analysis of the CXCR 4 Gene from Turbot : Scophthalmusmaximus

Chemokine receptor 4 (CXCR4) belongs to the large superfamily of G protein-coupled receptors. The EST sequence of CXCR4 from turbot (Scophthalmus maximus L.) was obtained from a subtractive cDNA library. In the present study, the full-length cDNA sequence of turbot CXCR4 was obtained, and sequence analysis indicated that its primary structure was highly similar to CXCR4 from other vertebrates. Quantitative real-time PCR demonstrated that the highest expression level of turbot CXCR4 was in the spleen following injection with physiological saline (PS). After turbot were challenged with Vibrio harveyi, the lowest expression level of CXCR4 was detected at 8 hours in the spleen and 12 hours in the head kidney, and then increased gradually to 36 hours. These findings suggested that CXCR4 may play a significant role in the immune response of turbot.
INTEGRATING COMPLETE GABOR FILTER TO THE RANDOM FOREST CLASSIFICATION ALGORITHM FOR FACE RECOGNITION

Local feature approach to face recognition such as Local Binary Pattern (LBP) and Gabor has demonstrated to be an excellent facial descriptor. However, due to the large dimension features generated from the Gabor filter, the computation time for feature extraction is lengthy. Likewise, LBP generates lengthy histograms, which ultimately slow down the recognition time. This paper proposes a hybrid face recognition technique called Complete Gabor Filter with Random Forest (CG-RF) in biometrics technologies. CG-RF uses Gabor Magnitude Responses (GMR) and Oriented Gabor Phase Congruency Image (OGPCI) with Random Forest as features classification. For best features, Monte Carlo Uninformative Variable Elimination Partial Least Squares (MC-UVE-PLS) regression is used to select the important features generated from the Gabor filters. The upside of the proposed technique reduces computation time significantly without compromising on the accuracy of face recognition. Further experiments were conducted on Georgia Tech (GT) and Facial Evaluation Recognition Test (FERET) face databases with regards to varied face images such as head positions and orientations, occlusion and light illumination. The outcome of the experiments on both databases demonstrated a short turnaround in computation time and high recognition rates - GT (1735.2 seconds; 94.7%), FERET (8875.6 seconds; 96.7%).
State Dependent Pricing and Dynamics of Business Cycles

The nature of price dynamics has long been thought important for the origin and duration of business cycles. To investigate this topic, we construct a dynamic stochastic general equilibrium macroeconomic model in which monopolistically competitive firms face fixed costs of changing the nominal prices of final goods. These prices are thus changed infrequently and discretely. The framework captures major features of the price dynamics stressed by the New Keynesian research program, particularly work on (s, S) pricing rules. However, by treating firms as heterogenous with respect to the size of fixed costs of price adjustment, we are able to study a wider range of issues than in the prior literature. For example, we explore how the nature of optimal price-setting depends on (i) the extent of persistence of variations in the money stock and (ii) the interest elasticity of money demand. Further, our model can be used to study a wide range of aspects of the positive and normative economics of monetary policy. We illustrate these topics by considering the consequences of changing the rate of inflation and by evaluating alternative policy rules.
Herrán-Arita 2009 H 1 N 1 Influenza A Epitope in Narcolepsy T Cell Autoimmunity to Hypocretin / Orexin and Cross-Reactivity to a + CD 4

protein. results point to a possible molecular mimicry between epitopes on hypocretin and the influenza hemagglutinin Although more research is necessary to understand the effects of the hypocretin-reactive cells in patients, these these epitopes. cells reactive to both the hemagglutinin peptide and the hypocretin peptides, suggesting cross-reactivity between cells from patients were incubated with this peptide presented by DQ0602, there was an increase in the number of Within the flu protein hemagglutinin, they found a small segment that had this effect, amino acids 275 to 287. When epitopes in proteins from the flu virus that might activate the same T cells that responded to the hypocretin peptides. was associated with increased narcolepsy risk. To investigate these associations further, the authors searched for , influenza, and other infections with the disease. In Scandinavia, a particular flu vaccine Streptococcus that associate Clues about environmental factors that might contribute to narcolepsy have come from epidemiology studies healthy twin did not. discordant for narcolepsy, the twin with disease carried cells that were activated by hypocretin peptides, whereas the 23 patients with narcolepsy but not in matched DQ0602-positive healthy control subjects. Similarly, in pairs of twins corresponding to the N-terminal ends of the mature, secreted forms of hypocretin, triggered responses in T cells from amino acid peptides, − peptides derived from hypocretin when they are presented by HLA DQ0602. The two 13 T cells that react against several + . have identified CD4 et al have been found in patients, now De la Herrán-Arita response against hypocretin could conceivably be responsible for the disease. Although no antibodies to hypocretin The neurons that are destroyed in narcolepsy contain the body's only store of hypocretin, so an immune know what triggers the disease, and there is no way to prevent it. (DQ0602), suggesting that there is an immune contribution to the disease. Other things are not so clear: We do not wakefulness, and it has a remarkably strong association with a particular human leukocyte antigen (HLA) molecule Some things about narcolepsy are clear: It is caused by the loss of the peptide hypocretin from neurons that control Most adults long for more sleep, but patients with narcolepsy would rather be free of their excessive sleepiness. New Clues About Narcolepsy