Miracle-dz/UniFAR-FTUs huggingface dataset:
Abionic’s PSP ‘sepsis test’ on the abioSCOPE device: 5 minutes to save lives

Sepsis is a life-threatening condition that needs immediate diagnosis and treatment to maximize the chances of survival and to reduce the risk of long-term disabilities. Due to the heterogeneous symptoms of sepsis, early recognition remains a challenge for Healthcare Professionals globally. Current biomarkers, in particular procalcitonin (PCT) and C-reactive protein (CRP) are neither sensitive nor specific enough to aid clinicians in diagnosing sepsis, nor in guiding clinical management efficiently. Abionic has developed a novel ‘sepsis test’ on its rapid IVD platform abioSCOPE based on the measurement of Pancreatic Stone Protein (PSP). From a drop of fingertip blood, the test delivers results in as little as 5 minutes. Abionic exploits the special properties of fluids at the nanoscale to enhance the rate of formation of molecular interactions and thereby is able to quantify biomolecular complexes in the sub-picomolar range after a few seconds of incubation. We demonstrate here that the PSP test on the abioSCOPE device has analytical specifications in line with clinicians’ expectations. The assay reportable range spans from 20 to 600 ng/ml and the test imprecision in this range is below 10%. The test is insensitive to interferences that may be caused by heterophilic antibodies and rheumatoid factor, as well as to clinically extreme PSP concentrations. We also present patient case reports that support the clinical utility of the bedside measurements of PSP to aid in the early diagnosis of sepsis. Sepsis is a medical emergency that must be promptly identified and correctly managed. The combination of rapid, accurate and precise diagnostic tests may contribute to reduce the burden of sepsis worldwide.
The Molecular Taxonomy and Phylogeny of Zebrafish(Danio rerio) Based on the Cyt-b Partial Sequences

The taxonomy and phylogenic relationships of zebrafish were investigated by the cyt-b gene partial DNA sequence analysis of mitochondria. 426? bp of cyt-b from Danio rerio(long fin), D.rerio(short fin), D.rerio frankei, Gambusia affinis and Epinephelus awoara, respectively, were cloned and sequenced. Combined with the homologous sequences of Megalobrama amblycephala, Oryzias latipes, Ctenopharyngodon idella and Etroplus maculatus from Genebank, the aligment shows that the mean base composition for partial cyt-b is 26.7% adenine, 26.1% cytosine, 16.6% guanine, and 30.5% thymine and that the third position of the codon have a base bias (G% is only 6.4%). The sequence similarity of D.rerio(long fin), D.rerio(short fin) and D.rerio frankei is above 99%. Phylogenetic trees were constructed with Neighbor Joining method. Those results collectively indicated that D.rerio frankei might be clustered with D.rerio(long fin) first, then with D.rerio(short fin). The results support the opinion of Frankel and David that D.rerio frankei belongs to a subspecies of D.rerio and is not an individual species.
MANAGING THE ENTERPRISE COMPETITIVE POTENTIAL ON THE BASIS OF A MARKETING COMPLEX УПРАВЛІННЯ КОНКУРЕНТНИМ ПОТЕНЦІАЛОМ ПІДПРИЄМСТВА НА ОСНОВІ КОМПЛЕКСУ МАРКЕТИНГУ

Purpose: Managing the competitive potential of an enterprise, increasing it, qualitative improvement in comparison with competitors is an urgent need of modern economic relations. Determination of sustainable competitive advantages of an enterprise can be the basis for management of its strategic competitiveness. The aim of the article is studying the characteristics of a marketing complex of an enterprise under the influence of external conditions of competition, compiling a parametric description of the competitive potential’s control system of the enterprise, theoretical substantiation of determining the sustainable competitive advantages of the enterprise based on the analysis marketing’s complex characteristics. Methods: Managing the company’s competitive potential is to create and modify the elements of a marketing complex. The control system of the competitive potential of the enterprise should include as objects of influence Parametric description of the system Y= <Рі1; Рі2> X = <Рs1; Рs2; Рs3; Рs4;. > R = <Рr1; Рr2; Рr3; Рr4> Determination of the estimation of the competitive potential of the enterprise by parameters on elements of the marketing Determination of the set of marketing complex’s parameters for the formation of the enterprise’s SCA Selection of a competitive strategy depending on the defined SCA Estimation of the competitive potential of the enterprise
Adaptive Fisher-Based Deep Convolutional Neural Network and Its Application to Recognition of Rolling Element Bearing Fault Patterns and Sizes

Deep learning has the ability to mine complex relationships in fault diagnosis. Deep convolutional neural network (DCNN) with deep structures, instead of shallow ones, can be applied to mining useful information from the original vibration data. However, when the number of the training samples is small, the diagnosis accuracy will be affected. As an improvement of the DCNN, deep convolutional neural network based on the Fisher-criterion (FDCNN) can be used for the fault diagnosis of small samples. But the model parameters in the method are based on human labor or prior knowledge, which is bound to bring negative influence on the diagnosis accuracy. Therefore, a novel adaptive Fisher-based deep convolutional neural network (AFDCNN) method, which can optimize the model parameters adaptively, is proposed as an improvement of the FDCNN. Comparative verification test results show that AFDCNN has more outstanding performance.
Segmentation of Nuclei using Image Processing Techniques and Heuristic Algorithm

: Image segmentation can be described as dividing an image into meaningful regions in which different features are held. Various types of cancer can be diagnosed using segmentation methods that can identify specific neoplastic sites. Image segmentation is considered as a significant part in health imaging to assist dermatology in detecting nuclei tumor lesions and providing therapy. A nuclei tumor (nuclei and non-nuclei) is very serious if not diagnosed early. Moreover, nuclei tumor images are extremely accurate. Therefore, the progressive development of histological image segmentation is a significant step in medicine. Segmentation is one of the most difficult tasks in digital image processing. In this paper, a comparative evaluation is presented using image processing and artificial bee colony algorithms for nuclei segmentation. Artificial Bee Colony algorithm is one of the heuristic algorithms widely used in optimization problems in recent years. Heuristic optimization algorithms intuitively approach the solution set and aim to reach the best solution or a solution that is close to the best. As a result, the proposed system helps to determine the nucleus type correctly. It also reduces the amount of biopsy and core tumors reduce morbidity associated with lesion elimination levels.
EFFECTIVE MANLESS VEHICLE CHARGING SYSTEM WITH RFID

Recent transportation conductors are collect money from passengers and provide tickets. Tickets are printed by papers and also it has date and time, starting and ending place. The RFID license is use to transportation without take tickets. Each person they give money and proof then collect RFID tag. It is unique id. That will be used passengers identification and reduce the travel distance payment. The system controls reduce human error. In this new ticketing system should reduce environmental pollution. Paper ticket throws by passenger. They are polluting the environment. A noteworthy course of action of RFID includes two basic sections: The reader circuit and card, purposes of enthusiasm which are inspected later. The use of RFID has an amazing good position as it is believed to be an essential bit of Internet of Things (IoT). IoT implies an overall framework establishment, associating physical and virtual challenges through mishandle of data catch and correspondence capacities . Identification of things is a huge task before IoT and utilization of Radio-frequency identification in People transportation can be seen as a phase towards realizing IoT.
Purification and Bioactivities of a Protein Growth-activator from Alternaria tenuissima

A new plant activator from Alternaria tenuissima was purified using ammonium sulphate fractionation,organic solvent,anion exchange chromatography and size exclusion chromatography.The protein exhibited a single band on SDS-PAGE with molecular weight of 35 kD.Its pI was determined as 4.22 using immobiline dry strip gel.The wheat seeds were treated with the purified elicitor at various concentrations for 8 h and the succinate dehydrogenase was measured after 7 d growth.The result showed that the protein has a remarkable effect on the activity of succinate dehydrogenase which was 65.27% higher than that of control.Also,the length of main root was improved 13.1% comparing to the control.
Consistent Predictability of the Ocean State Ocean

18 The Ocean State Ocean Model OSOM is an application of the Regional Ocean Mod19 eling System spanning the Rhode Island waterways, including Narragansett Bay, Mt. 20 Hope Bay, larger rivers, and the Block Island Shelf circulation from Long Island to 21 Nantucket. This paper discusses the physical aspects of the estuary (Narragansett 22 and Mount Hope Bays and larger rivers) to evaluate physical circulation predictabil23 ity. This estimate is intended to help decide if a forecast and prediction system is 24 warranted, to prepare for coupling with biogeochemistry and fisheries models with 25 widely disparate timescales, and to find the spin-up time needed to establish the cli26 matological circulation of the region. Perturbed initial condition ensemble simulations 27 are combined with metrics from information theory to quantify the predictability of the 28 OSOM forecast system–i.e., how long anomalies from different initial conditions per29 sist. The predictability timescale in this model agrees with readily estimable timescales 30 such as the freshwater flushing timescale evaluated using the total exchange flow (TEF) 31 framework, indicating that the estuarine dynamics rather than chaotic transport is the 32 dominant model behavior limiting predictions. The predictability of the OSOM is ∼7 33 to 40 days, varying with parameters, region, and season. 34 Plain Language Summary 35 A new model of waterways near Rhode Island is introduced and examined. The 36 model is intended for studying the physical circulation of this region and its ecosystem 37 changes. This study uses a variety of metrics to assess for how long a forecast with this 38 model might be useful (i.e., how long the model’s initial state determines its behavior) 39 and relatedly how long to run (or spin up) the model to have poorly known initial 40 conditions not affect the result systematically. 41
The Bam repeats of the mouse genome belong in several superfamilies the longest of which is over 9 kb in size

Abstract Mouse DNA contains two equally abundant, homologous subfamilies of MspI 3.6 and 5 kb repeated fragments. The first subfamily corresponds to the previously described (1) Bam 4 kb repeats, the second one to Bam repeated fragments of higher molecular weight. These subfamilies account for the vast majority of long Bam repeats and are linked with contiguous short Bam 0.5 kb repeats. A minority of these composite Bam repeats extend, on the 0.5 kb side, into R repeats. In turn, a fraction of the composite Bam/R repeats extend further, for at least 3 kb, into other repeated sequences contiguous to the R repeats. The long Bam repeats belong, therefore, in at least three superfamilies of repeats, the longest one being over 9 kb in size. Some general properties of these superfamilies are discussed.
Departure of vapor- and gas-bubbles in a wide pressure range

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Geostatistical study on the spatial pattern of Anoplophora glabripennis in three types of stands

The spatial pattern of Anoplophora glabripennis(Motschulsky)(Asian Longhorned Beetle,ALB) population was studied by geostatistical methods in three types of stands in China.The study stands represented:(1) a mixed stand of Populus alba var.pyramidalis and Acer negundo,(2) a pure stand of P.simonii×P.nigra var.italica,and(3) a mixed stand of P.alba var.pyramidalis and P.simonii×P.nigra var.italica. The incisions,frass holes and emergence holes all showed intense spatial aggregation in the mixed stand of P.alba var.pyramidalis and Acer negundo as well as in the pure stand of P.simonii×P.nigra var.italica,but in the mixed stand of P.alba var.pyramidalis and P.simonii×P.nigra var.italica they showed a random distribution.The spatial patterns of the incisions and frass holes were totally different in the mixed stand of Populus alba var.pyramidalis and Acer negundo: the incisions were spreading from the entire stand to the center of it,while the frass holes were spreading from the center of the stand to the entire stand.This result indicated that the beetles were capable of laying eggs on the trees with few incisions and with less damage.However,the number of the emergence holes was very low and showed only a few aggregation spots.The beetles spread from these spots to the entire stand.The trees in the edge of the pure stand of P.simonii×P.nigra var.italica were in good growth status but heavily damaged thus permeating light through their foliage.Gradually these trees withered,causing the incisions,frass holes and emergence holes to spread from the center of the stand to the entire stand.However,the incisions,frass holes and emergence holes had several scattered spots of distribution in the mixed stand of P.alba var.pyramidalis and P.simonii×P.nigra var.italica. On the basis of aggregation and scatter balance,they showed a random distribution,spreading from the center of the spot to the entire stand.The stand types affected the spatial patterns of the incisions,frass holes and emergence holes.Regarding the range of spatial dependence of the different types of stands,the number of incisions and emergence holes was higher in the mixed stand of P.alba var.pyramidalis and Acer negundo.than in the pure stand of P.simonii×P.nigra var.italica,but the number of frass holes was smaller.As far as the intensity of local spatial continuity in sampling is concerned,the number of incisions was higher but the number of frass holes and emergence holes smaller in the mixed stand of P.alba var.pyramidalis and Acer negundo than in the pure stand of P.simonii×P.nigra var. italica.This indicated that the damage caused by Anoplophora glabripennis was aggregated in the mixed stand of P.alba var.pyramidalis and Acer negundo and scattered in the pure stand of P.simonii×P.nigra var.italica.
Honored guest presentation: abulia minor vs. agitated behavior.

: The neurological analysis of complex behavioral states associated with serious brain disease not infrequently is a difficult task. In many such cases, the signs of minor degrees of akinetic mutism were found when deliberately looked for. Recognition of this feature greatly facilitated interpretation. The ancient term abulia is suggested for the specific neurological syndrome comprising slowness, decreased responsiveness, apathy, etc. Akinetic mutism is its extreme form. A lesser degree of abulia is here termed abulia minor. The attributes of abulia minor are described, and the neurological conditions with which it had been found associated are listed. Preliminary conclusions as to the anatomical localization of the syndrome are presented. The literature on akinetic mutism is reviewed, and a few special observations are commented on--paradoxical activity, the telephone effect, and reflex attention. The application of the newer knowledge of cerebral neurotransmitters to akinetic mutism is illustrated. At the beginning of the study the focus was on abulia, but it was natural that sooner or later the contrasting state of behavioral hyperactivity or agitation would have to come under equal scrutiny. A list of conditions in which psychomotor agitation was a feature has been compiled from personal files. The localization of the disease process in hyperactive states is compared with that in abulia. A few special observations on hyperactive states are presented, along with a note on a unique syndrome termed anideation. There has gradually emerged a concept of a continuum of behavioral activity extending from abulia at one end through eukinesia to hyperactivity at the other end. Involvement of specific fundamental integrative circuits is postulated. This morning we have been enthralled by Computers in Neurosurgery, Neurobiology in Neurosurgery, and Humanism in Neurosurgery. What could be more natural for a neurologist than to talk about Neurology in Neurosurgery. And how best to pay homage to the great lady of Medicine than by offering a modest example of her handiwork. Thus, I am led to discuss a neurological theme which has recently occupied my attention. To anticipate a little, I shall be talking about two somewhat opposite states: on the one hand there is abulia--slowness, apathy, and lack of spontaneity--and on the other hand, agitation and hyperactivity. By way of explanation, this study originated during the bedside examination of patients with brain damage and serious impairment of analysis appeared not only formidable but even impossible. (ABSTRACT TRUNCATED AT 400 WORDS)
A Refined Laser Method and Faster Matrix Multiplication

The complexity of matrix multiplication is measured in terms of $\omega$, the smallest real number such that two $n\times n$ matrices can be multiplied using $O(n^{\omega+\epsilon})$ field operations for all $\epsilon>0$; the best bound until now is $\omega<2.37287$ [Le Gall'14]. All bounds on $\omega$ since 1986 have been obtained using the so-called laser method, a way to lower-bound the `value' of a tensor in designing matrix multiplication algorithms. The main result of this paper is a refinement of the laser method that improves the resulting value bound for most sufficiently large tensors. Thus, even before computing any specific values, it is clear that we achieve an improved bound on $\omega$, and we indeed obtain the best bound on $\omega$ to date: $$\omega < 2.37286. $$ The improvement is of the same magnitude as the improvement that [Le Gall'14] obtained over the previous bound [Vassilevska W. '12]. Our improvement to the laser method is quite general, and we believe it will have further applications in arithmetic complexity.
Automated Prediction of Medieval Arabic Diacritics

This study uses a character level neural machine translation approach trained on a long short-term memory-based bi-directional recurrent neural network architecture for diacritization of Medieval Arabic. The results improve from the online tool used as a baseline. A diacritization model have been published openly through an easy to use Python package available on PyPi and Zenodo. We have found that context size should be considered when optimizing a feasible prediction model.
Understanding Spatial Robustness of Deep Neural Networks

Deep Neural Networks (DNNs) are being deployed in a wide range of settings today, from safety-critical applications like autonomous driving to commercial applications involving image classifications. However, recent research has shown that DNNs can be brittle to even slight variations of the input data. Therefore, rigorous testing of DNNs has gained widespread attention. While DNN robustness under norm-bound perturbation got significant attention over the past few years, our knowledge is still limited when natural variants of the input images come. These natural variants, e.g. a rotated or a rainy version of the original input, are especially concerning as they can occur naturally in the field without any active adversary and may lead to undesirable consequences. Thus, it is important to identify the inputs whose small variations may lead to erroneous DNN behaviors. The very few studies that looked at DNN's robustness under natural variants, however, focus on estimating the overall robustness of DNNs across all the test data rather than localizing such error-producing points. This work aims to bridge this gap. To this end, we study the local per-input robustness properties of the DNNs and leverage those properties to build a white-box (DEEPROBUST-W) and a black-box (DEEPROBUST-B) tool to automatically identify the non-robust points. Our evaluation of these methods on nine DNN models spanning three widely used image classification datasets shows that they are effective in flagging points of poor robustness. In particular, DEEPROBUST-W and DEEPROBUST-B are able to achieve an F1 score of up to 91.4% and 99.1%, respectively. We further show that DEEPROBUST-W can be applied to a regression problem for a self-driving car application.
Enhancing Vibrational Light–Matter Coupling Strength beyond the Molecular Concentration Limit Using Plasmonic Arrays

Vibrational strong coupling is emerging as a promising tool to modify molecular properties by making use of hybrid light–matter states known as polaritons. Fabry–Perot cavities filled with organic molecules are typically used, and the molecular concentration limits the maximum reachable coupling strength. Developing methods to increase the coupling strength beyond the molecular concentration limit are highly desirable. In this Letter, we investigate the effect of adding a gold nanorod array into a cavity containing pure organic molecules using FT-IR microscopy and numerical modeling. Incorporation of the plasmonic nanorod array that acts as artificial molecules leads to an order of magnitude increase in the total coupling strength for the cavity with matching resonant frequency filled with organic molecules. Additionally, we observe a significant narrowing of the plasmon line width inside the cavity. We anticipate that these results will be a step forward in exploring vibropolaritonic chemistry and may be used in plasmon based biosensors.