Miracle-dz/UniFAR-FTUs huggingface dataset:
IN VIVO EFFECTS OF HYPEROSMOTIC PERILYMPH PERFUSION ON HAIR CELL AND NEURAL POTENTIALS

The 120 s perfusions caused an average 6 ± 4% increase in maximal CM amplitude (the Vsat parameter; Fig. 2) by the end of the perfusion, consistent with an increase in OHC basolateral permeability, and an 8 ± 1% increase in MET sensitivity (the Z parameter), which may reflect a decrease in OHC axial stiffness. The operating-point (Eo) shifts were more variable: in healthy animals, these perfusions caused an initial Eo shift towards scala vestibuli o f 1.7 ± 1.4 meV that was either followed by a brief undershoot towards scala tympani, or initiated a longer-lasting scala tympani Eo shift. Nonetheless, the operating point shifts were small compared to those
Impact of Inadequate Empirical Therapy on the Mortality of Patients with Bloodstream Infections: a Propensity Score-Based Analysis

ABSTRACT The impact of the adequacy of empirical therapy on outcome for patients with bloodstream infections (BSI) is key for determining whether adequate empirical coverage should be prioritized over other, more conservative approaches. Recent systematic reviews outlined the need for new studies in the field, using improved methodologies. We assessed the impact of inadequate empirical treatment on the mortality of patients with BSI in the present-day context, incorporating recent methodological recommendations. A prospective multicenter cohort including all BSI episodes in adult patients was performed in 15 hospitals in Andalucía, Spain, over a 2-month period in 2006 to 2007. The main outcome variables were 14- and 30-day mortality. Adjusted analyses were performed by multivariate analysis and propensity score-based matching. Eight hundred one episodes were included. Inadequate empirical therapy was administered in 199 (24.8%) episodes; mortality at days 14 and 30 was 18.55% and 22.6%, respectively. After controlling for age, Charlson index, Pitt score, neutropenia, source, etiology, and presentation with severe sepsis or shock, inadequate empirical treatment was associated with increased mortality at days 14 and 30 (odds ratios [ORs], 2.12 and 1.56; 95% confidence intervals [95% CI], 1.34 to 3.34 and 1.01 to 2.40, respectively). The adjusted ORs after a propensity score-based matched analysis were 3.03 and 1.70 (95% CI, 1.60 to 5.74 and 0.98 to 2.98, respectively). In conclusion, inadequate empirical therapy is independently associated with increased mortality in patients with BSI. Programs to improve the quality of empirical therapy in patients with suspicion of BSI and optimization of definitive therapy should be implemented.
Photon axion oscillations and type Ia supernovae

We compute the probability of photon-axion oscillations in the presence of both intergalactic magnetic fields and an electron plasma and investigate the effect on Type Ia supernovae observations. The conversion probability is calculated using a density matrix formalism by following light-paths through simulated universes in a Monte-Carlo fashion. We find, that even though the effect is highly frequency dependent, one needs to analyze relatively narrow spectral features of high redshift objects in order to discern between the dimming effect from oscillations and a cosmological constant, in contrast to earlier claims that broad-band photometry is sufficient.
A comparative analysis and awareness survey of phishing detection tools

Phishing is a kind of attack in which phishers use spoofed emails and malicious websites to steal personal information of people. Nowadays various tools are freely available to detect phishing and other web-based scams, many of which are browser extensions that generate a warning whenever user browses a suspected phishing site. In this research paper, comparison of eight phishing detection tools has been done to find the best one by testing each tool on the dataset, and further an awareness survey was carried out about these tools. Dataset contains two thousand verified phishing websites reported from August 2016 to March 2017 collected from two anti-phishing platforms i.e., Anti-Phishing Working Group (APWG) and PhishTank, and 500 legitimate websites that are visited by users regularly (i.e., Citibank.com, PayPal.com, Alibaba.com, Askfm.in, etc.) to test the effectiveness of eight popular anti-phishing tools. After testing all the tools on the dataset, it is found that AntiPhishing Toolbar did a very good job at identifying 94.32 percent of phishing as well as legitimate websites from the dataset. An awareness survey has been conducted among fifty M.tech Computer Science & Technology, and Cyber Security pursuing students at Central University of Punjab. The survey revealed that approximately 61 percent respondents are completely unaware about phishing detection tools.
A phenomenological theory of damping in ferromagnetic materials

In 1955, a phenomenological theory of ferromagnetism was well established and had been corroborated by a considerable amount of experimental data. However, there were problems in the phenomenological theory of the dynamics of the magnetization field. The Landau-Lifshitz equation for damping of the motion of the magnetization field could not account for the large noneddy-current damping in thin Permalloy sheets. The problem undertaken herein is a reformulation of the theory in a way that is more consistent with the theory of damping in other physical systems in order to be able to take large damping into account.
Specific identification of Mycobacterium tuberculosis with the luciferase reporter mycobacteriophage: use of p-nitro-alpha-acetylamino-beta-hydroxy propiophenone

We have previously described a luciferase reporter mycobacteriophage (LRP) assay that can detect Mycobacterium tuberculosis and characterize mycobacterial drug susceptibility patterns within 24 to 48 h in positive cultures. One drawback of this LRP protocol is the ability of the recombinant mycobacteriophage phAE40 to infect a variety of Mycobacterium species, thus limiting its specificity for the detection of M. tuberculosis. In this study, we have (i) explored the host range of phAE40, (ii) developed a modified LRP assay that exploits the selective inhibitory effect of the compound p-nitro-alpha-acetylamino-beta-hydroxy propiophenone (NAP) against members of the M. tuberculosis complex to differentiate between the tubercle bacillus and other mycobacterial species, and (iii) tested over 300 samples, including primary clinical isolates and drug-resistant strains of M. tuberculosis, demonstrating the ability of the NAP-modified LRP assay to identify M. tuberculosis complex organisms with high degrees of sensitivity and specificity.
The Process of ‘Taking-into-Account’ in Visual Perception

In order to secure useful information the perceptual system must combine information present in the retinal counterpart of the to-be-discriminated distal variable with information about other variables that affect the state of the retinal counterpart. This combinatorial process may be called—following Woodworth's lead—the process of ‘taking-into-account’. Seven applications of the ‘taking-into-account’ hypothesis are described. Salient features of the hypothesis are examined and the empirical status of the hypothesis is summarized and evaluated. Finally a model of the information-processing sequence suggested by the hypothesis is presented.
Factors Influencing Adoption Of Health Management Information System: Case Of Kiambu Level 5 Hospital, Kiambu County Kenya

xi CHAPTER ONE: INTRODUCTION . 1 1.1 Background of the Study . 1 1.2 Statement of the Problem . 3 1.3 Purpose of the Study . 4 1.4 Research Objectives . 4 1.5 Research Questions . 4 1.6 Significance of the Study . 5 1.7 Delimitation of the Study . 5 1.8 Limitation of the Study . 6 1.9 Assumption of the Study . 6 1.10 Definition of Significant Terms . 6 1.11 Organization of the Study . 7 CHAPTER TWO: LITERATURE REVIEW . 9 2.
Role of eIntermediaries in the United States paper supply chain

In an attempt to streamline the paper supply chain, paper industry vertical business-tobusiness eMarketplaces were established to help industry players to decrease inefficiencies in their supply chains, to minimize negative effects of economic cyclicality, and to achieve better visibility. eMarketplaces rode the hype of revolutionizing the way in which industries conduct business, citing the cost savings achieved by expanded market reach, operational efficiencies, aggregated purchasing, and finding the least expensive suppliers. Adoption of eIntermediaries has been lower than expected in the paper industry and many of the paper vertical start-ups failed when the economy softened and the dot.com bubble burst. This thesis examines the expectations, experience and role of eIntermediaries in the paper supply chain. eIntermediaries failed to fulfill paper suppliers expectations regarding key promises, such as improving cash flow, reducing cycle time, and reducing errors. None of the paper supplier respondents achieved the expected benefits from eIntermediary implementation. Overall paper suppliers lack commitment and trust for eIntermediaries. Paper buyer and paper supplier attitudes and expectations on eIntermediaries do not differ significantly. Both suppliers and buyers are concerned that using eIntermediaries would lead to loss of contact with exchange partners, but paper suppliers have a greater level of concern. Suppliers are most concerned with profitability, security of sensitive information, technical resources, costs, and the need to restructure established business processes in the context of using eIntermediaries. Neither paper buyers nor suppliers are driving eIntermediary adoption on the paper industry. B2B exchanges seem to have underestimated the complexity of the paper industry and overestimated companies’ ability to adopt eCommerce. Organizational changes, changes in
Impacts of intensive dairying on soil and pasture sustainability in Taranaki

The intensification of dairying can have adverse impacts on the environment through diminished soil quality and greater loss of nutrients to water bodies. Poor soil quality can reduce the productivity and sustainability of pastoral farming systems. The effects of increased stocking rate (SR) (3, 4 and 5 cows/ha) and introducing a cut and carry system on soil, pasture and water quality were compared with a pasture fallow on an Egmont Allophanic soil in South Taranaki over three years. Soil nutrient and organic matter (OM) levels were not affected by the treatments imposed and were maintained in the ranges for adequate plant growth by the application of fertiliser (grazing) or farm dairy effluent (cut and carry). Macroporosity in the top 5 cm of soil was greater for the fallow treatment (31-37%) than the other treatments (cut and carry 20-25%; grazing 17-21%). Treading damage as indicated by soil surface roughness only increased with SR in one winter grazing when the soil was saturated. The management treatments had no significant effect on annual pasture production. Ryegrass content significantly increased with grazing and higher SRs and there was more dead material in the fallow treatment. Pasture chloride (Cl), potassium (K), nitrogen (N) and phosphorus (P) contents were significantly lower in the fallow treatment and pasture K content significantly lower in the cut and carry treatment than in the grazing treatments. The leaching loss of calcium (Ca) was significantly lower in the fallow treatment in 2003, and in 2004, the rate of magnesium (Mg) leaching increased in the grazing treatments. Nitrate-N leaching losses were low (average 5 kg/ha/yr) but in the 2004 drainage season were significantly higher in the fallow compared with the cut and carry and grazing treatments. Overall it could be concluded that the more intensive management had no adverse effect in the short term on the sustainability and quality of soil, pasture and groundwater.
Dictyostelium discoideum Expresses a Malaria Chloroquine Resistance Mechanism upon Transfection with Mutant, but Not Wild-type, Plasmodium falciparum Transporter PfCRT*

Chloroquine resistance in Plasmodium falciparum malaria results from mutations in PfCRT, a member of a unique family of transporters present in apicomplexan parasites and Dictyostelium discoideum. Mechanisms that have been proposed to explain chloroquine resistance are difficult to evaluate within malaria parasites. Here we report on the targeted expression of wild-type and mutant forms of PfCRT to acidic vesicles in D. discoideum. We show that wild-type PfCRT has minimal effect on the accumulation of chloroquine by D. discoideum, whereas forms of PfCRT carrying a key charge-loss mutation of lysine 76 (e.g. K76T) enable D. discoideum to expel chloroquine. As in P. falciparum, the chloroquine resistance phenotype conferred on transformed D. discoideum can be reversed by the channel-blocking agent verapamil. Although intravesicular pH levels in D. discoideum show small acidic changes with the expression of different forms of PfCRT, these changes would tend to promote intravesicular trapping of chloroquine (a weak base) and do not account for reduced drug accumulation in transformed D. discoideum. Our results instead support outward-directed chloroquine efflux for the mechanism of chloroquine resistance by mutant PfCRT. This mechanism shows structural specificity as D. discoideum transformants that expel chloroquine do not expel piperaquine, a bisquinoline analog of chloroquine used frequently against chloroquine-resistant parasites in Southeast Asia. PfCRT, nevertheless, may have some ability to act on quinine and quinidine. Transformed D. discoideum will be useful for further studies of the chloroquine resistance mechanism and may assist in the development and evaluation of new antimalarial drugs.
An estimation theory-based approach for speech enhancement

This contribution presents an efficient technique for the speech enhancement of a signal using statistical estimators which are based on squared magnitude spectra's. In any speech enhancement systems, an estimate of power spectral density is required. As conventional methods for noise elimination fails due to the non-stationary properties of the speech signal, in this context, minimum mean square error (MMSE) and maximum a posterior (MAP) estimators are derived based on Gaussian statistical model. The acquisition function which is obtained in the MAP estimator is same as the acquisition function used in the ideal binary masking. As a binary masking depends on the signal-to-noise ratio (SNR), if the SNR value exceeds 0 dB then the value assumes to be 1 otherwise 0. The results accomplished using the proposed estimator embarked with better enhancement of the speech signal than the standard minimum mean square error spectral power estimator, with low residual noise and low speech distortion.
Optimism and proactive coping in relation to burnout among nurses.

AIM The study investigated the three symptoms of burnout among hospital nurses and examined the buffering effects of optimism and proactive coping in relation to burnout. BACKGROUND Nursing is a profession that can easily lead to burnout. Burnout has been one of the most investigated work outcomes in current research. Previous research has largely ignored the positive influence of individuals on job outcomes and has not tested a constructive framework that might facilitate interventions to prevent burnout. METHOD A cross-sectional survey of 314 staff nurses in general hospitals in Taiwan. Participants completed a set of questionnaires with demographic information. FINDING The findings suggested that higher levels of proactive coping behaviours and optimism were associated with lower levels of burnout. Optimism was found to have the strongest relationship with the decreased personal accomplishment of burnout. CONCLUSION The findings of this study confirmed the importance of optimism and proactive coping in prevention of symptoms of burnout. IMPLICATIONS FOR NURSING MANAGEMENT The results of this study provided important recommendations regarding stress management interventions for health-care managers, nurses, psychologists and human resource staff in the reduction of burnout to promote mental health in an organisation.
Gene Expression Analysis of Host Innate Immune Responses during Lethal H5N1 Infection in Ferrets

ABSTRACT How viral and host factors contribute to the severe pathogenicity of the H5N1 subtype of avian influenza virus infection in humans is poorly understood. We identified three clusters of differentially expressed innate immune response genes in lungs from H5N1 (A/Vietnam/1203/04) influenza virus-infected ferrets by oligonucleotide microarray analysis. Interferon response genes were more strongly expressed in H5N1-infected ferret lungs than in lungs from ferrets infected with the less pathogenic H3N2 subtype. In particular, robust CXCL10 gene expression in H5N1-infected ferrets led us to test the pathogenic role of signaling via CXCL10's cognate receptor, CXCR3, during H5N1 influenza virus infection. Treatment of H5N1-infected ferrets with the drug AMG487, a CXCR3 antagonist, resulted in a reduction of symptom severity and delayed mortality compared to vehicle treatment. We contend that unregulated host interferon responses are at least partially responsible for the severity of H5N1 infection and provide evidence that attenuating the CXCR3 signaling pathway improves the clinical course of H5N1 infection in ferrets.
Brand Orientation in Small and Medium Enterprises (SMEs) from Malaysian Government Perspective

The purpose of thisstudy isto develop a brand orientation model based on Malaysian SMEs context. Semistructured interviews were selected as the research method in order to get an expert opinion from Small and Medium Size Enterprise Corporation Malaysia (SME Corp) and Malaysia External Trade Development Corporation (MATRADE). Both agencies operate under Ministry of International Trade and Industry (MITI) to support SMEs and they were chosen for this study because they have long experience in promoting branding to SMEs. Four major levels of brand orientation have emerged from the data analysis: absent, low, medium, and high. This paper highlights the importance of branding for Malaysian SMEs and emphasizes the crucial issues related to the adoption of branding process and the solutions provided by Malaysian government to enhance brand development. This research is among the restricted works that have studied brand orientation from the governmental perspective and have proposed a related model. It suggests considering the proposed model and referring to SME Competitiveness Rating for Enhancement (SCORE) for future studies on branding in Malaysian SMEs.
Symbol-flipping decoding of nonbinary LDPC codes over BI-AWGN channels

This paper analyzes a weighted symbol-flipping (SF) algorithm for nonbinary low density parity-check (NB-LDPC) codes over binary input AWGN (BI-AWGN) channels. The weighted SF algorithm has two main parts: the symbol-flipping function and the new candidate symbol rule. First, it is demonstrated that a rule for choosing the new candidate symbol based on absolute values of observed channel outputs is equivalent to a rule based on Euclidean distances. Then, it is verified that the weighting factor of flipping function has negligible impact on algorithm performance. Motivated by this fact, a SF decoding algorithm is proposed whose flipping function requires only syndrome values and flips symbols in parallel. It is observed that SF decoding outperforms WSF for q-ary codes with large q.
ANALYSIS OF CUSTOMER CHAT USING TEXT MININGFOR CUSTOMER RELATIONSHIP MANAGEMENT (CASE STUDY: PAPERLUST.CO)

Abstrak Di era Industry 4.0, persaingan di dunia bisnis semakin menigkat dan mendorong setiap perusahaan untuk selalu berkembang dan beradaptasi dengan perubahan untuk memenangkan persaingan. Pesatnya perkembangan teknologi informasi telah mengubah banyak kegiatan bisnis, salah satunya adalah bisnis berbasis internet. Aplikasi praktis dari teknologi internet dalam dunia bisnis kini semakin berkembang, yaitu perdagangan di dunia maya dengan memanfaatkan internet yang sering disebut dengan e-commerce (perdagangan elektronik). Penelitian ini bertujuan untuk menganalisis obrolan pelanggan dari Paprlust.Co menggunakan Metode Text Mining. Dalam penelitian ini metode yang digunakan adalah analisis sentimen yang digunakan untuk mengetahui persepsi pelanggan / emosi dan metode pemodelan topik untuk mengekstraksi topik atau masalah yang dibahas dari setiap kelas analisis sentimen berdasarkan data obrolan pelanggan di platform live chat Paperlust. Semoga penelitian ini bermanfaat untuk informasi dalam industri e-commerce khususnya Paperlust.co sebagai wawasan untuk mengevaluasi dan meningkatkan bisnis mereka untuk memberikan nilai lebih dan memperoleh lebih banyak pendapatan. Kata kunci — Analisia Sentimen; Pemodelan Topik; Manajemen Hubungan Pelanggan Abstract In the era of Industry 4.0, the competition in the business world is increasing and encouraging each company to always develop and adapt with the change to win the competition. The rapid development of information technology has changed a lot of business activities, on of it is the internet-based business. The practical application of internet technology in the business world is now growing, namely trading in the virtual world by utilizing the internet which is often referred to as e-commerce (electronic commerce). E-commerce business has changed many things in the business world, things that become the focus not only on goods but on services, information and intelligence focus on customers. This research purposed to analysis customer chat of Paperlust.Co using Text Mining Method. In this study the method used is sentiment analysis used to find out customers perception/emotion and topic modelling methods to extract topics or issue discussed from each class of sentiment analysis based on customer chat data in Paperlust’s live chat platform. This research hopefully useful for information in e-commerce industry especially Paperlust.co as insight to evaluate and improve their business to deliver more value and gained more revenue. Keywords—Text Mining; Sentiment Analysis; Topic Modelling; Costumer Relationship Management
Méthodologie de sélection de caractéristiques pour la classification d'images satellitaires

Résumé : Choisir les descripteurs d’une image en vue de son indexation n’est pas aisé, du fait de la variété des choix présentés dans la littérature. Nous développons à cet effet une méthodologie permettant de comparer différents ensembles de caractéristiques extraits d’une même base d’images. Cette méthodologie repose sur des algorithmes supervisés et non supervisés de sélection de caractéristiques. Nous étudions en particulier trois algorithmes non supervisés reposant sur la clusterisation des descripteurs. Nous comparons l’efficacité des différents algorithmes à l’aide de performances de classification et d’heuristiques. La méthodologie est appliquée à une base d’images satellitaires dont sont extraites des caractéristiques texturales variées. Mots-clés : Sélection de caractéristiques, classification, apprentissage supervisé et non supervisé, machine à vecteurs supports, textures, pertinence.