Miracle-dz/UniFAR-FTUs huggingface dataset:
Identiﬁcation of the Novel Narrow-Spectrum (cid:2) -Lactamase SCO-1 in Acinetobacter spp. from Argentina (cid:1)

By studying the (cid:1) -lactamase content of several Acinetobacter spp. isolates from Argentina, producing the expanded-spectrum (cid:1) -lactamases (ESBL) VEB-1a or PER-2, a novel Ambler class A (cid:1) -lactamase gene was identiﬁed. It encoded the narrow-spectrum (cid:1) -lactamase SCO-1, whose activity was inhibited by clavulanic acid. SCO-1 hydrolyzes penicillins at a high level and cephalosporins and carbapenems at a very low level. (cid:1) -Lactamase SCO-1 was identiﬁed from unrelated VEB-1a-positive or PER-2-positive Acinetobacter spp. isolates recovered from three hospitals. The bla SCO-1 gene was apparently located on a plasmid of ca. 150 kb from all cases but was not associated with any ESBL-encoding gene. The G (cid:2) C content of the bla SCO gene was 52%, a value that does not correspond to that of the A. baumannii genome (39%). (cid:1) -Lactamase SCO-1 shares 47% amino acid identity with CARB-5 and ca. 40% with the enzymes TEM, SHV, and CTX-M. A gene encoding a putative resolvase was identiﬁed downstream of the bla SCO-1 gene, but its precise way of acquisition remains to be determined.
AIS Electronic Library (AISeL) A Decision Support Model to Predict ICU Readmission through Data Mining Approach

Intensive Care Unit (ICU) is a special department of any hospital for the critical patients. Premature discharge from ICU is a common incident due to shortage of clinical resources and economic problems. These discharged patients often return to ICU with more critical situation and risk. Thus the objective of this paper is to propose a model, comprising 18 health related variables to predict readmission after discharge and help doctors in taking decision. This paper also examined the performance of three different data mining techniques: Naïve Bayes (probabilistic), decision tree and neural network. The results showed that the proposed model provide the best result in case of artificial neural network with the prediction accuracy of 95.005, AUC of 0.874 and sensitivity of 0.950. The prediction model is trained and evaluated by using almost 11000 data from the MIMIC-III dataset. The skewness of the dataset is also considered while proposing the model.
Sequence Data Mining Approach for Detecting Type-3 Clones

— Code clones are introduced to source code by changing, adding, and/or deleting statements in copied code fragments. Thus, the problem of finding code clones is essentially the detection of strings that partially match. The proposed algorithm is based on the well-known apriori principle in data mining and is tailored to detect code clones represented as sequences of strings. However, the apriori principle may generate too many sequential patterns. The proposed algorithm finds a compact representation of sequential patterns, known as maximal frequent sequential patterns, which is often two orders of magnitude smaller than frequent sequential patterns. Early experiments using the Java SDK 1.7. 0.45 lang package demonstrate the number of extracted patterns and elapsed time in several contexts.
CCID_A_343496 211..216

Wolf’s post-zoster isotopic response refers to the occurrence of an unrelated new skin disorder at the same site of a healed skin lesion. Mechanism of this dermatological phenomena after herpes zoster infection remains unclear. In this study, we present three rare cases of eosinophilic dermatitis following herpes zoster infection. Erythematous infiltrative plaques or scattered red papules were found in all patients after remission of a previous herpetic infection. Skin biopsy revealed dermal perivascular eosinophilic infiltration, which was histologically confirmed as eosinophilic dermatitis. Based on the clinical timeline and histopathological characteristics, we supposed that the secondary lesion to be an isotopic response of Wolf. Skin lesion in one of the current patients overlapped with her tattoo, suggesting that tattoos might also predispose patients to post-zoster isotopic events. Topical corticosteroid was applied and all patients achieved remission. We also summarize the epidemiological, clinical and histopathological characteristics of the post-zoster eosinophilic dermatitis based on review of previous literature focusing on Wolf’s isotopic response and secondary inflammatory dermatological disorders.
Kaposi’s Sarcoma-Associated Herpesvirus-Encoded Latency-Associated Nuclear Antigen Reduces Interleukin-8 Expression in Endothelial Cells and Impairs Neutrophil Chemotaxis by Degrading Nuclear p65 (cid:1)

Latency-associated nuclear antigen 1 (LANA-1) of Kaposi’s sarcoma-associated herpesvirus (KSHV) is the major viral latent protein and functions as a multifaceted protein. Here, we report that LANA-1 attenuates the endothelial response to tumor necrosis factor alpha (TNF- (cid:1) ) stimulation and inhibits consequent neutrophil chemotaxis. Reporter assays showed that LANA-1 constantly repressed nuclear factor (NF)- (cid:2) B transactivity upon TNF- (cid:1) stimulation. We also found that LANA-1 decreased nuclear p65 protein levels through enhancement of polyubiquitylation-mediated p65 degradation and that an elongin B/elongin C–cullin 5–LANA-1–p65 complex assembled by LANA-1 was responsible for this enhanced p65 degradation. In telomerase-immortalized human umbilical vein endothelial cells, LANA-1 was demonstrated to repress interleukin-8 expression, which was involved in neutrophil recruitment to the inﬂammatory site. Through an in vitro transmigration assay, we determined a suppressive effect of LANA-1 on neutrophil chemotaxis. Our work suggests that KSHV LANA-1 is a negative modulator of acute inﬂammation and sheds light on a new mechanism by which KSHV during the latent life cycle evades the host innate immune response.
Quantifying Eicosanoids

In our recent publication, we show for the first time that the fungal pathogen Cryptococcus neoformans is able to manipulate host cells by producing eicosanoids that mimic those found in the host. Using complementary in vivo zebrafish and in vitro macrophage cell culture models of Cryptococcus infection, we found that these eicosanoids manipulate host innate immune cells by activating the host receptor PPAR-gamma which is an important regulator of macrophage inflammatory phenotypes. We initially identified PGE2 as the eicosanoid species responsible for this effect; however, we later found that a derivative of PGE2—15-keto-PGE 2 —was ultimately responsible and that this eicosanoid acted as a partial agonist to PPAR-gamma. In this commentary, we will discuss some of the concepts and conclusions in our original publication and expand on their implications and future directions.
MINIREVIEW Interpretation of Antibiotic Concentration Ratios Measured in Epithelial Lining Fluid (cid:1)

(cid:5) 1.87. The AUC elf /(AUC fs (cid:1) K ) (or C elf /[ C fs (cid:1) K ]) ratio for cefdinir and a data set for meropenem are around 1 already without consideration of cell lysis because of its low constant K , derived from poor lipophilicity (low log PC). The low ELF concentrations of those beta-lactams seem to be related to their low capacity for pene- tration through alveolar epithelial cells. Increasing the extent of the cell lysis changes the ratios just a little. The contribution of the low intracellular concentrations of the antibiotics to the low C elf / C fs ratios is considered to be small. The possibility of technical errors needs to be excluded for amoxicillin and another data set of meropenem. C elf / C fs (cid:1) K using PC of
PREPROCESSING PHOTOS OF RECEIPTS FOR RECOGNITION

: The subject of this work is methods of image pre-processing, applied to receipts photos. The purpose is to improve their quality, allowing to increase the efﬁciency of the conventional text recognition software (OCR). The authors had mainly difﬁcult cases in mind – photos taken freehand in unfavorable lighting conditions. The work describes the analyzed methods of ﬁltering, binarization, searching for the edge of the image, image straightening, marking the area of interest, thinning. The preliminary results with OCR software on a small data set were also presented. Thanks to pre-processing, character recognition efﬁciency has been improved by 25%. The ﬁnal part presents conclusions and plans for future work.
agronomy Real Time Soil Moisture (RTSM) Based Irrigation Scheduling to Improve Yield and Water-Use Efﬁciency of Green Pea ( Pisum sativum L.) Grown in North India

: A ﬁeld experiment on green pea ( Pisum Sativum L.) was conducted under drip irrigation to determine the irrigation schedule based on real-time soil moisture measurements with irrigation treatments (main plots) and fertilizer treatments (sub-plots) in a split-plot design with three replications. Main plots consisted of fourirrigation levels at different matric potential ranges (I 1 : − 20 kPa; I 2 : − 30 kPa; I 3 : − 35 kPa; and I 4 : − 40 kPa), while the sub-plots consisted of three fertigation levels (F 1 : 120%, F 2 : 100% and F 3 : 80%) of recommended dose of fertilizers (40:60:50 kg/ha of NPK). The tensiometer with digital pressure transducer transferred the soil matric potential data to the irrigation controller, which activated the solenoid valves for irrigation. Observations were collected on plant growth parameters, pod yield, and quality parameters. Descriptive statistics of different plant growth parameters were made. The higher SMP threshold ( − 20 kPa) and lower SMP threshold ( − 40 kPa) greatly reduced the yield and water-use efﬁciency. Considering the results, real-time soil moisture-based irrigation at the soil matric potential threshold level of − 30 kPa with 120% of recommended dose of fertilizers through fertigation was recommended for attaining maximum green pea pod yield and water-use efﬁciency under semi-arid Inceptisols.
Exploring Origin and Rotation Parameters While Using Hilbert Curves in Mobile Environments

—In mobile computing, nearest-neighbor queries are of the form “ﬁnd me the nearest service of type S ” or “ﬁnd me k nearest services of type S . ” It is known that such queries, while convenient for the consumer, are associated with privacy threats. For addressing such privacy threats, one of the approaches suggested by researchers is spatial transformation via Hilbert curves. A Hilbert curve ﬁlls a 2-dimensional grid with a one-dimensional sequence that may be viewed as a curve. It is thus usable as a hash function that is order-preserving, in the sense that adjacent elements in the single dimension represent physically contiguous space in two dimensions. It provides an encryption of the two-dimensional space coordinates with the parameters involved in its construction serving as the key . The origin of the two-dimensional grid that is conceptually overlaid on the physical space and the choice of two canonical forms of the curve are crucial elements of the key. In this paper, we examine the ramiﬁcations of these parameters on the Quality of Service (QoS) provided to mobile users and suggest that these parameters be chosen based on acceptable QoS thresholds. By considering rotation and transposition, we enhance the space of keys, thus providing more options in the choice of those parameters.
Comparison of Different Diabetic Retinopathy Detection Algorithms with a Proposed One Using Neural Network and DWT

_ Abstract— Diabetic Retinopathy (DR) is the retinal disorder arises on diabetic patients and in many cases it may lead to vision loss. The early retinal examination is essential to avoid Diabetic Retinopathy and there are different types of detection methods are available to recognize DR. This paper presents a comparison of different Diabetic retinopathy detection methods and proposes one based on DWT and neural network. The proposed method is developed by extracting image’s feature points by using Discrete Wavelet Transform (DWT) and applying this feature points to neural network to classify the images into 5 stages-Normal, mild NPDR, Moderate NPDR, Severe NPDR and PDR. The experiment result shows that proposed method is give better output as compared to existing methods
Theoretical Processes in Star Formation

To bring out the basic problem of star formation, consider a nonrotating cosmical gas cloud which is free to contract and so to convert most of its gravitational energy into kinetic energy of mass motion. Fluid dynamical systems in general tend to dissipate their kinetic energy, and a diffuse gas cloud easily radiates excess heat. If the cloud did not break up into fragments, then the steady conversion of gravitational energy into radiation would lead ultimately into the formation of a compact massive body perhaps a quasar but not of a star cluster, which is maintained at a comparatively low mean density by random stellar kinetic energy. Thus the transition from a gravitationally-bound cloud of gas and dust into a bound star cluster or a fortiori into an expanding O-B association requires that gravitational energy released during collapse be conserved as the random macroscopic kinetic energy. It is very likely that star formation is often triggered by processes that are essentially dissipative, such as shocks following passage of the spiral wave, or cloud-cloud collisions; however, it is equally important to emphasise that we require at some stage a cut-off in kinetic energy dissipation. And indeed, once a cloud has been able to fragment into a group of self-gravitating blobs, each of small geometrical cross-section, the chance of inelastic collisions between blobs is sharply reduced.
ENHANCEMENT OF HUMAN-BLOOD EOSINOPHIL CYTO-TOXICITY BY SEMIPURIFIED EOSINOPHIL COLONY-STIMULATING FACTOR(S) ENHANCEMENT OF HUMAN-BLOOD EOSINOPHIL CYTO-TOXICITY BY SEMIPURIFIED EOSINOPHIL COLONY-STIMULATING FACTOR(S).

Eosinophils are a major component of the host-immune response to helminth infections (1, 2), and factors modulating their helminthotoxic capacity are now receiving considerable attention. Lymphokines secreted by cells form Schistosoma mansoni egg granulomas (3) and eosinophil chemotactic factor of anaphylaxis tetrapeptides released by mast cells (4-6) potentiate the ability of eosinophils to destroy helminths in vitro; the release of these factors in vivo probably results in the local activation of tissue eosinophils. Recent studies suggest that circulating eosinophils isolated from the blood of eosinophilic patients are activated: they have a low surface charge, high levels of certain lysosomal and membrane enzymatic activities (7), and enhanced helminthotoxicity in vitro (8). Also, blood eosinophils in eosinophilic patients are often vacuolated and degranulated (9-11), and certain substances normally stored in their granules have been found in abnormal concentrations in the blood of some of these patients (12, 13). It has been suggested that these cells, unlike eosinophils in normal individuals, release their granule content in the blood in response to unknown stimuli. Some of these eosinophil-derived substances are toxic for mammal ian cells (14, 15), and they could be responsible for the tissue damage observed in some patients with hypereosinophilic syndrome (12, 16-18). The mechanisms causing these changes in the properties of blood eosinophils are not known. Because they occur in association with eosinophilia, it is possible that some eosinopoietic factors induce them. Colony-stimulating factors (CSF) 1 could probably have this dual function because they have been reported to stimulate progenitor cells (19) as well as mature cells (20-22). We tested this hypothesis using a human placental conditioned medium that is a source of human eosinophil CSF (23, 24). The data show that a material contained in the human placental conditioned medium markedly enhances eosinophil cytotoxicity.
Expansion and developmental patterning of human PSC-derived cardiovascular progenitors

The inability of multipotent cardiovascular progenitor cells (CPCs) to undergo more than a few divisions in culture has precluded stable expansion of precursors of (human) cardiomyocytes and vascular cells. This contrasts with neural progenitors, which can be expanded robustly and are a renewable source of their derivatives. Here, we used human pluripotent stem cells (hPSCs) in which CPCs are genetically marked to show that regulated MYC expression enables their robust expansion through IGF-1 and hedgehog signalling. These CPCs can be patterned with morphogens, recreating features of heart field assignment, and controllably differentiated to relatively pure populations of pacemaker-like or ”working” ventricular-like cardiomyocytes with strikingly different physiological characteristics. The cells are clonogenic and can be expanded over 40 population doublings yet still be directed to differentiate to cardiomyocytes as well as vascular cells. Together, this tractable model reveals the potential of hPSC-derived CPCs for precisely recreating elements of heart development in vitro.
miR-873-5p Inhibits Cell Migration and Invasion of Papillary Thyroid Cancer via Regulation of CXCL16

Aim: Papillary thyroid cancer (PTC) is the most common type of thyroid cancer with an increasing morbidity. MicroRNAs (miRNAs) play the pivotal roles in PTC occurrence and development. The aim of this study was to investigate the biological functions of miR-873-5p and its underlying molecular mechanisms in PTC. Methods: Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis was performed to detect miR-873-5p expressions in PTC tissues and cell lines. The target gene of miR-873-5p was predicted by TargetScan and con ﬁ rmed by dual-luciferase reporter assay. Furthermore, cell proliferation, migration and invasion were assessed by CCK-8, wound healing assay and transwell assay, respectively. Additionally, the expressions of CXCL16, MMP1, MMP9 and MMP13 were measured by RT-qPCR and Western blot methods, and p65, Rel-B and their phosphorylation levels were examined by Western blot. Results: We found that miR-873-5p expression was downregulated in PTC tissues and cell lines. Moreover, CXCL16 was identi ﬁ ed as a target of miR-873-5p, and its expression was upregulated in PTC tissues and cells at both mRNA and protein levels. Functionally, overexpression of miR-873-5p inhibited PTC cell proliferation, migration and invasion, while co-transfection of CXCL16 overexpression plasmid reversed the anti-tumor behaviors induced by miR-873-5p. In addition, miR-873-5p overexpression suppressed the phosphorylation of p65 and Rel-B, and decreased the mRNA and protein expression of MMP1, MMP9 and MMP13, while overexpression of CXCL16 partially abrogated the effects of miR-873-5p. Conclusion: MiR-873-5p functions as a tumor suppressor in PTC by inhibiting the proliferation, migration and invasion of the PTC cells via targeting CXCL16. These ﬁ ndings might provide a potential novel target for the therapy of PTC.
Species Having C 4 Single-Cell-Type Photosynthesis in the Chenopodiaceae Family Evolved a Photosynthetic Phospho enol pyruvate Carboxylase Like That of Kranz-Type C 4 Species 1

Spatial and temporal regulation of phospho enol pyruvate carboxylase (PEPC) is critical to the function of C 4 photosynthesis. The photosynthetic isoform of PEPC in the cytosol of mesophyll cells in Kranz-type C 4 photosynthesis has distinctive kinetic and regulatory properties. Some species in the Chenopodiaceae family perform C 4 photosynthesis without Kranz anatomy by spatial separation of initial ﬁxation of atmospheric CO 2 via PEPC from C 4 acid decarboxylation and CO 2 donation to Rubisco within individual chlorenchyma cells. We studied molecular and functional features of PEPC in two single-cell functioning C 4 species ( Bienertia sinuspersici , Suaeda aralocaspica ) as compared to Kranz type ( Haloxylon persicum , Salsola richteri , Suaeda eltonica ) and C 3 ( Suaeda linifolia ) chenopods. It was found that PEPC from both types of C 4 chenopods displays higher speciﬁc activity than that of the C 3 species and shows kinetic and regulatory characteristics similar to those of C 4 species in other families in that they are subject to light/dark regulation by phosphorylation and display differential malate sensitivity. Also, the deduced amino acid sequence from leaf cDNA indicates that the single-cell functioning C 4 species possesses a Kranz-type C 4 isoform with a Ser in the amino terminal. A phylogeny of PEPC shows that isoforms in the two single-cell functioning C 4 species are in a clade with the C 3 and Kranz C 4 Suaeda spp. with high sequence homology. Overall, this study indicates that B. sinuspersici and S. aralocaspica have a C 4 -type PEPC similar to that in Kranz C 4 plants, which likely is required for effective function of C 4 photosynthesis.
Performance Comparison of 1-bit Full Adders using 180 nm CMOS Technology

— This paper discusses the performance comparison of various state-of-the-art 1-bit full adder (FA) cells. All these FA cells have been derived using static CMOS and its constituent logic styles such as pass transistor logic (PTL), transmission gate logic (TGL). The design of the state-of-the-art 1-bit FA cells is carried out using Cadences’ generic 180 nm based process design kit (GPDK). The performance of the FA cells is compared and analyzed in terms of design metrics (DMs) such as power, delay, power-delay-product (PDP), and area in terms of transistor count (TC). From the comparison results, for 1.8 V supply voltage and operating frequency 100 MHz, the average power consumption of Double-Pass Transistor Logic (DPL) based 1-bit FA is (143.1 µW) was found to be extremely low with moderately low delay (133.4 pS) and low PDP (19.08fJ). Further the FAs are analyzed in terms of DMs under variable load and power supply conditions.
Software Cost Estimation Using Clustering and Ranking Scheme

-Software cost estimation is an important task in the software design and development process. Planning and budgeting tasks are carried out with reference to the software cost values. A variety of software properties are used in the cost estimation process. Hardware, products, technology and methodology factors are used in the cost estimation process. The software cost estimation quality is measured with reference to the accuracy levels. Software cost estimation is carried out using three types of techniques. They are regression based model, anology based model and machine learning model. Each model has a set of technique for the software cost estimation process. 11 cost estimation techniques fewer than 3 different categories are used in the system. The Attribute Relational File Format (ARFF) is used maintain the software product property values. The ARFF file is used as the main input for the system. The proposed system is designed to perform the clustering and ranking of software cost estimation methods. Non overlapped clustering technique is enhanced with optimal centroid estimation mechanism. The system improves the clustering and ranking process accuracy. The system produces efficient ranking results on software cost estimation methods.
Secure and Efficient Data Retrieval under Location Based Server in Military Networks

Disruption Tolerant Network(DTN) is network which allows wireless devices to communicate with each other even though when disruption has occurred. Storage nodes were used in Disruption Tolerant Network which stores secure and confidential data when there is no end to end communication. In our proposed system we are using concept of Cipher text Attribute based Encryption scheme where Multiple key authority system is used so any key authority is able to generate the key so that we not depending on single key authority system. By this unauthorized end user are unable get information about which particular key authority is generating key . In our project system proposes novel attackers detection and positioning scheme based on Mobile Location Based Server(LBS) and which helps to find the attacker details in Mobile Phone. In our proposed mechanism we manage the secure and confidential data in Disruption Tolerant Network.