Miracle-dz/UniFAR-FTUs huggingface dataset:
Airway assessment/management paradigm – does a spectral or a binary approach fit better? A reply

– worthwhile exercise or pointless ritual? Anaesthesia 2002; 57: 105–9. 4. Huitink JM, Bouwman RA. The myth of the difficult airway: airway management revisited. Anaesthesia 2015; 70: 244–9. 5. Yentis SM. Predicting trouble in airway management. Anesthesiology 2006; 105: 871–2. 6. Greenland KB, Edwards MJ, Hutton NJ, Challis VJ, Irwin MG, Sleigh JW. Changes in airway configuration with different head and neck positions using magnetic resonance imaging of normal airways: a new concept with possible clinical applications. British Journal of Anaesthesia 2010; 105: 683–90. 7. Greenland K. A proposed model of direct laryngoscopy and tracheal intubation. Anaesthesia 2008; 63: 156–61. 8. Greenland KB. Airway assessment based on a three column model of direct laryngoscopy. Anaesthesia and Intensive Care 2010; 38: 14–9. 9. Greenland KB, Irwin MG. Airway management – ‘spinning silk from cocoons’ (抽丝剥茧 – Chinese idiom). Anaesthesia 2014; 69: 296–300.
Induction of ornithine decarboxylase in guinea pig lymphocytes by the divalent cation ionophore A23187 and phytohemagglutinin.

The divalent cation ionophore, A23187, at a concentration of 0.25 pg/ml, enhanced influx of Ca2+. activity of ornithine decarboxylase and incorporation of [3H]thymidine into DNA of guinea pig lymphocytes. Combined treatment of cells with A23 187 and dibutyryladenosine 3’,5’-monophosphate (BtZcAMP) augmented these three events. A23187 at a concentration of 0.06 pg/ml which was insufficient for induction of ornithine decarboxylase stimulated neither Ca2+ influx nor [3H]thymidine incorporation, but stimulated Ca2’ efflux. A23 187 (0.06 pgiml) in combination with BtzcAMP caused a marked induction of ornithine decarboxylase and stimulation of [3H]thymidine incorporation into DNA. When the time of Bt2cAMP addition was delayed after A23187, the stimulation of ornithine decarboxylase activity decreased. Washout of BtzcAMP from cell culture earlier than 4 h of incubation caused a reduction in the stimulatory effect of BtZcAMP. These results suggest that raising concentrations of cytoplasmic Ca2+ and cellular cAMP are important to some initial events leading to induction of ornithine decarboxylase and these biochemical changes are obligatory sequential steps for stimulation of DNA synthesis Growth stimuli cause a number of biochemical changes in the responded cells such as stimulation of transport of nutrients and metal ions, induction of enzymes and synthesis of protein and nucleic acids. Among enzymes induced by growth stimuli, ornithine decarboxylase, a rate-limiting enzyme in polyamine biosynthesis, is of special interest because this enzyme is markedly induced by diverse growth stimuli and intracellular level of polyamines has been shown to be implicated in the regulation of cell growth [l -31. Cyclic nucleotides and CaZC have also been indicated to be important factors in cell proliferation [4,5]. Therefore, an interesting question may arise concerning how CaZ+ and cyclic nucleotides are involved in the induction of ornithine decarboxylase. It has been shown that cAMP is responsible for stimulation of ornithine decarboxylase activity in many different cell systems [6-201 and Ca2+ is also necessary to stimulate ornithine decarboxylase activity [17,21- 241. However, some investigations [25,26] reported that Bt2cAMP inhibited ornithine decarboxylase induction in lymphoma cells and concanavalin-A-stimulated lymphocytes. Although these results were confirmed by recent investigation from this laboratory in phytohemagglutinin-stimulated guinea pig lymphocytes, BtzcAMP rather augmented ornithine decarboxylase induction in divalent cation ionophore-stimulated lymphocytes [22]. In the present work, we have extended our investigation of ornithine decarboxylase induction in A23 187-stimulated lymphocytes to know more detail of the relationship between Ca2+, cAMP and ornithine decarboxylase induction.
Occurrence and molecular characterization of cryptococcosis in dogs and cats in Mato Grosso , Brazil 1

Paula D.A. J., Almeida A.B. P.F. , Cruz F.S. , Furlan F.H. , Colodel E.M. , Sousa V.R. F. , Nakazato L. & Dutra V. 2014. Occurrence and molecular characterization of cryptococcosis in dogs and cats in Mato Grosso, Brazil. Pesquisa Veterinária Brasileira 34(2):167172. Departamento de Clínica Médica Veterinária, Faculdade de Agronomia, Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa s/n, Bairro Boa Esperança, Cuiabá, MT 78068-900, Brazil. E-mail: valdutra@ufmt.br Cryptococcosis is an infection that affects humans and animals, the etiology is attributed to Cryptococcus neoformans variety neoformans, C. neoformans var. grubii and Cryptococcus gattii. The infection is common in dogs and cats, causing respiratory, neurological, cutaneous and ocular infections. Aiming to better understand the epidemiology of cryptococcosis in animals in the region, this paper describe the occurrence and characterization of the Cryptococcus species involved in this illness in pet animals at Mato Grosso State, Brazil. Clinical samples of four cases, two in cats and two dogs, were submitted for pathological, microbiological and molecular analysis. Microscopically, in three cases, tissue sections stained with hematoxylin and eosin had absence to severe granulomatous reaction composed by histiocytes, multinucleated cells and lymphocytes infiltration. In one case, citological imprint analysis showed similar inflammatory mainly mononuclear and lymphocyte cells infiltration. All cases had variable amounts of intracellular and extracellular fungal structures compatible with Cryptococcus sp. on Periodic Acid-Schiff (PAS) stain. All clinical samples were positive for culture on Sabouraud Dextrose Agar (SDA) and morphologically classified as Cryptococcus sp. The isolates were PCR positive for C. gatti, being confirmed by sequencing technique. The findings characterize the molecular species involved in animal infections in the region, and may contribute to future studies of the epidemiology of C. gattii.
A Novel High Precision SAR Focussing Algorithm Based On Chirp Scaling

Azimuth compression of synthetic aperture radar data is an inherently two-dimensional problem because the SAR reference function migrates through several range resolution cells. This effect is referred to as 'range cell migration'. For perfect focussing of the image the fact has to be accounted for that the amount of range cell migration varies with range. In classical range-Doppler SAR processors as well as with two-dimensional frequency domain processors a space-variant interpolation is required in order to compensate for this effect. In general, interpolation will degrade the final image quality and is computation time consuming. The proposed new algorithm avoids any interpolation step. It is essential for the algorithm that the SAR data are transformed to the range-Doppler domain prior to range compression. In this domain each range line is premultiplied with a particular phase function which is designed to perfectly straighten the range cell migration trajectories even for an arbitrarily wide swath by the subsequent range compression step. This new method for range migration correction is the key element of a new SAR processing algorithm described in detail. The proposed method is inherently phase preserving. Its focussing quality is neither limited by high squint nor by wide swath. The implementation is simple because only multiplications and Fourier transforms are required. It is essential for the new algorithm that the transmitted pulse is a linearly frequency modulated chirp of the form exp{jn*k*z2}.
Practical Heterogeneous Wireless Charger Placement with Obstacles

This paper considers the problem of practical <underline>H</underline>eterogeneous w<underline>I</underline>reless charger <underline>P</underline>lacement with <underline>O</underline>bstacles (HIPO), i.e., given a number of heterogeneous rechargeable devices distributed on a 2D plane where obstacles of arbitrary shapes exist, deploying heterogeneous chargers with a given cardinality of each type, i.e., determining their positions and orientations, the combination of which we name as <italic>strategies</italic>, on the plane such that the rechargeable devices achieve maximized charging utility. After presenting our practical directional charging model, we first propose to use a piecewise constant function to approximate the nonlinear charging power, and divide the whole area into multi-feasible geometric areas in which a certain type of chargers have constant approximated charging power. Next, we propose the Practical Dominating Coverage Set extraction algorithm to reduce the unlimited solution space to a limited one by exacting a finite set of candidate strategies for all multi-feasible geometric areas. Finally, we prove the problem falls in the realm of maximizing a monotone submodular function subject to a partition matroid constraint, which allows a greedy algorithm to solve with approximation ratio of <inline-formula><tex-math notation="LaTeX">$\frac{1}{2} - \epsilon$</tex-math><alternatives><mml:math><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mn>2</mml:mn></mml:mfrac><mml:mo>-</mml:mo><mml:mi>ε</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="wang-ieq1-2916384.gif"/></alternatives></inline-formula>. We conduct experiments to evaluate the performance. Results show that our algorithm outperforms the comparison algorithms by at least 33.49 percent on average.
Depression: A Survey on the Indian Scenarioand the Technological Work Done

Depression is a crucial public health concern in India expanding at a very fast pace. It is affecting people of all age groups, male or female, urban or rural, educated or uneducated and even employed or unemployed. The silent suffering of depression goes highly unnoticed and is expanding very swiftly among the people. Depression is closely related to multiple non-communicable diseases, substance abuse disorders, dietary disorders and also suicide. In India, a large number of people are committing suicides due to depression each year. Despite this, there is a lot of stigma around the word ‘depression’ in our society and there are very less measures, treatment and services for helping people cope with such a common mental disorder. With the advancement of technology, sensors today have become an extensive part of everyday life. From our mobile phones sensors to accelerometers, the new actuator based technology has established its base from every corner and aspect in our day to day lives. Various researchers are trying to detect and treat depression with the use of sensors, IoT and other technology. It is expanding largely from the market opportunities perspective and investments are being made on it from various major market competitors as well. In this paper, we are inspecting diverse ways in which the researchers are trying to help people by detecting depression. The major challenges coming in the way to a perfect solution are
Prediction and identification of transcriptional regulatory elements at the lung cancer-specific DKK1 locus

The glycoprotein dickkopf 1 (DKK1) is highly expressed in lung cancer cell lines and tissues. Our previous study demonstrated that DKK1 promoter activity is low in lung cancer cell lines. This may be because it lacks the necessary transcriptional regulatory elements (TREs) required for higher activity levels. However, it is difficult to computationally predict functionally significant TREs, as TREs from different locations can affect large segments of distant DNA. The Encyclopedia of DNA Elements project features multiple integrated technologies and approaches for the discovery and definition of functional elements, including enhancer elements and enhancer-blocking insulators. In the present study, DNase I hypersensitive sites and histone modifications of DKK1 were investigated in the A549 lung cancer cell line using the UCSC Genome Browser. A set of cis-acting enhancer elements were identified by a dual-luciferase reporter gene assay system to increase activity of the DKK1 promoter with lung cancer specificity. To the best of our knowledge, these data provide the first insight into the role of the DKK1 locus in lung cancer, and confirm the contribution of intronic cis-acting elements to the regulation of DKK1 expression, providing a new insight into gene regulation in lung cancer, which could inform the development of targeted therapy.
Certificateless Public Key Cryptography in the Standard Model

Identity-based cryptography has been introduced by Shamir at Crypto’84 to avoid the use of expensive certificates in certified public key cryptography. In such system, the identity becomes the public key and each user needs to interact with a designated authority to obtain the related private key. It however suffers the key escrow problem since the authority knows the private keys of all users. To deal with this problem, Riyami and Paterson have introduced, at Asiacrypt’03, the notion of certificateless public key cryptography. In this case, there is no need to use the certificate to certify the public key, and neither the user nor the authority can derive the full private key by himself. There have been several efforts to propose a certificateless signature (CLS) scheme in the standard model, but all of them either make use of the Waters’ technique or of the generic conversion technique (proposed by Yum and Lee at ACISP’04) which both lead to inefficient CLS schemes. Besides making use of the Waters’ technique and the generic conversion technique (proposed also by Yum and Lee at ICCSA’04), there exists direct approaches to construct certificateless public key encryption (CLE) scheme in the standard model. ∗Address for correspondence: Faculty of Information Technologies and Communication, University of Hong Duc, Thanh Hoa, Viet Nam. Received April 2017; revised May 2018. 220 V.C. Trinh and S. Canard / Certificateless Public Key Cryptography in the Standard Model In this paper, we introduce a new and direct approach to construct a CLS scheme in the standard model with constant-size of all parameters and having efficient computing time. We also show that the Boneh et al.’s identity-based encryption scheme secured in the standard model at EC’04 can be extended to the certificateless setting. Interestingly, the resulting scheme can be comparable with the existing CLE schemes in term of both efficiency and security.
Anticancer Activity of Graphene Oxide/5-FU on CT26 dsRED Adenocarcinoma Cell Line

Cancer is one of the greatest health challenges in the world. Every year, many people die because of cancer. Chemotherapy is one of the treatment options in cancer disease. Fluorouracil )5-FU( is one of the chemotherapy dr0075gs, but it has relatively low toxic effect on tumor cells when it is used on free form, which also results in its poor efficacy. GO (graphene oxide) has a single-atomic layer and has several functional groups such as epoxide, carbonyl, carboxyl and hydroxyl which makes it a suitable carrier for drug loading. In the present study, we loaded 5-FU on GO nanocarrier to produce GO/5-FU, and characterized it by FT-IR. CT26 Ds-Red adenocarcinoma cell line was treated with GO/5-FU, free 5-FU, GO, and PBS (Phosphate buffer saline). The results showed significant inhibition of the CT26 Ds-Red cells using GO/5-FU compared to free 5-FU (P<0.05). Therefore, loaded 5-FU on GO (GO/5-FU) could be a new approach for optimization of 5-FU tumor cytotoxicity.
Protected areas act as a buffer against detrimental effects of climate change—Evidence from large‐scale, long‐term abundance data

Climate change is driving species to shift their distributions toward high altitudes and latitudes, while habitat loss and fragmentation may hamper species ability to follow their climatic envelope. These two drivers of change may act in synergy, with particularly disastrous impacts on biodiversity. Protected areas, PAs, may thus represent crucial buffers against the compounded effects of climate change and habitat loss. However, large‐scale studies assessing the performance of PAs as such buffers remain scarce and are largely based on species occurrence data. Conversely, abundance data have proven to be more reliable for addressing changes in wildlife populations under climate change. We evaluated changes in bird abundance from the 1970s–80s to the 2000s inside and outside PAs at the trailing range edge of 30 northern bird species and at the leading range edge of 70 southern species. Abundances of retracting northern species were higher and declined less inside PAs at their trailing range edge. The positive effect of PAs on bird abundances was particularly marked in northern species that rely strongly on PAs, that is, their density distribution is largely confined within PAs. These species were nearly absent outside PAs in the 2000s. The abundances of southern species were in general lower inside PAs and increased less from the 70s–80s to 2000s. Nonetheless, species with high reliance on PAs had much higher abundances inside than outside PAs in the 2000s. These results show that PAs are essential in mitigating the retraction of northern species, but also facilitate northward expansions of southern species highly reliant on PAs. Our study provides empirical evidence documenting the role of PAs in facilitating species to adjust to rapidly changing climatic conditions, thereby contributing to the mitigation of impending biodiversity loss. PAs may thus allow time for initiating wider conservation programs on currently unprotected land.
Design and Fabrication of 3D Skyscraper Nanostructures and Their Applications in Biosensors

Biosensors are analytical devices that combine a biologically sensitive element with a physical transducer to selectively and quantitatively detect the presence as well as the amount of a specific compound in biological environments. The biosensitive element is for target recognition and the physical transducer is for signal transduction. For the biosensitive element, molecular couples such as antibody-antigen, protein-ligand, protein-aptamer, paired-nucleotides and avidin-biotin are often used, and for the physical transducer electrochemical methods such as voltammetric, impedimetric and amperometric measurements are popular choices. For example, a sensing platform using the avidin-biotin couple as the biosensitive element and an electrochemical technique as the physical transducer has been widely explored to achieve rapid, specific and sensitive detections (Ding et al., 2005; Hou et al., 2006, 2007; Lee et al., 2008). Biosensors are important devices for monitoring biological species in various processes of environmental, food, pharmaceutical and biomedical concerns. The main challenges many biosensors face today include low sensitivity, poor specificity and proneness to fouling. The advent of nanotechnology presents some promising solutions for alleviating these problems. For example, improvements for the sensitivity and antifouling capability of biosensors have been explored through the incorporation of nanostructures into the electrodes of biosensors (Koehne et al., 2004; Wang et al., 2005; Anandan et al., 2006, 2007). Nanostructures like gold nanotubes (Delvaux et al., 2003), carbon nanotubes (Gao et al., 2003; Wang et al., 2003, 2004) and gold nanoparticles (Bharathi et al., 2001) have been incorporated into electrodes and they exhibited much improved performance than conventional flat electrodes. Biosensors using an electrochemical method as the underlying transducer offer a costeffective and more specific means to measure the electrical responses resulted from electrochemical reactions between the sensitive element and the target analyte. In an electrochemical based biosensor, the sensitivity is related to the surface area of its electrode (Bard et al., 2001; Delvaux et al., 2003) because a large surface area is beneficial not only for enzyme immobilization but also for electron transfer. The surface area of the electrode can be increased by the use of nanostructures because the surface-to-volume ratio of a structure
Effectiveness of NoSQL and NewSQL Databases in Mobile Network Event Data: Cassandra and ParStream/Kinetic

Continuously growing amount of data has inspired seeking more and more efficient database solutions for storing and manipulating data. In big data sets, NoSQL databases have been established as alternatives for traditional SQL databases. The effectiveness of these databases has been widely tested, but the tests focused only on key-value data that is structurally very simple. Many application domains, such as telecommunication, involve more complex data structures. Huge amount of Mobile Network Event (MNE) data is produced by an increasing number of mobile and ubiquitous applications. MNE data is structurally predetermined and typically contains a large number of columns. Applications that handle MNE data are usually insert intensive, as a huge amount of data are generated during rush hours. NoSQL provides high scalability and its column family stores suits MNE data well, but NoSQL does not support ACID features of the traditional relational databases. NewSQL is a new kind of databases, which provide the high scalability of NoSQL while still maintaining ACID guarantees of the traditional DBMS. In the paper, we evaluation NEM data storing and aggregating efficiency of Cassandra and ParStream/Kinetic databases and aim to find out whether the new kind of database technology can clearly bring performance advantages over legacy database technology and offers an alternative to existing solutions. Among the column family stores of NoSQL, Cassandra is especially a good choice for insert intensive applications due to its way to handle data insertions. ParStream is a novel and advanced NewSQL like database and is recently integrated into Cisco Kinetic. The results of the evaluation show that ParStream is much faster than Cassandra when storing and aggregating MNE data and the NewSQL is a very strong alternative to existing database solutions for insert intensive applications.
Mining Shared Decision Trees between Datasets

Han, Qian. M.S.C.E. , B.S., Department of Computer Engineering, Wright State University, 2010. Mining Shared Decision Trees between Datasets. This thesis studies the problem of mining models, patterns and structures (MPS) shared by two datasets (applications), a well understood dataset, denoted as WD, and a poorly understood one, denoted as PD. Combined with users’ familiarity with WD, the shared MPS can help users better understand PD, since they capture similarities between WD and PD. Moreover, the knowledge on such similarities can enable the users to focus attention on analyzing the unique behavior of PD. Technically, this thesis focuses on the shared decision tree mining problem. In order to provide a view on the similarities between WD and PD, this thesis proposes to mine a high quality shared decision tree satisfying the properties: the tree has (1) highly similar data distribution and (2) high classification accuracy in the datasets. This thesis proposes an algorithm, namely SDT-Miner, for mining such shared decision tree. This algorithm is significantly different from traditional decision tree mining, since it addresses the challenges caused by the presence of two datasets, by the data distribution similarity requirement and by the tree accuracy requirement. The effectiveness of the algorithm is verified by experiments.