Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of life in patients with malignant blood disorders : A clinical and methodological study

The overall aim of this thesis was to evaluate and, improve measurements of, health-related quality of life (HRQL) in patients with malignant blood disorders. Patients undergoing autologous stem cell transplantation (SCT), long-term (>5 years) survivors of Hodgkin’s lymphoma (HL) and a randomly selected control group were studied. Participants were evaluated with five well-known standardized questionnaires measuring aspects of HRQL and a novel individualized measure, translated and extended for this study: the Schedule for the Evaluation of Individual Quality of Life – Direct Weighting (SEIQoL-DW). The majority of patients undergoing autologous SCT reported a rather good physical functioning during the first year of follow-up. Most impairment was rated in social function both before and after SCT. Most frequently reported symptoms were fatigue, appetite loss, dyspnoea and many patient described a worsened financial situation. High levels of posttraumatic stress symptoms were recorded, which were related to signs of anxiety and depression. The long-term survivors of HL, on the other hand, reported few problems related to disease and its treatment and an HRQL in parity with the control group though physical health, as measured with the Short Form 12 (SF-12), was diminished in the patient group. The results of the SEIQoL-DW showed that the areas viewed as most important in life (>50% of patients and controls), were family, personal health, work and relations to other people. Thoughts and worries concerning disease, fatigue and loss of energy and late effects on skin and mucous membrane were the most commonly reported problems following HL. Sixty-six percent of the survivors reported a change in their view of life and of themselves. This initial validation of the extended Swedish version of SEIQoL-DW showed it to be a valuable tool in evaluation of HRQL in HL survivors and controls. The results are interesting in revealing both positive and negative HRQL aspects of the disease and its treatment. Important factors influencing perception of HRQL are disease stage, Sense of Coherence and the financial situation.
A Comparison of Caching Strategies for Content Centric Networking

Content Centric Networking (CCN) is a new architecture for a future Internet. CCN relies on in-network caching capabilities of nodes and the efficiency of this architecture depends drastically on performances of caching strategies. Thus, there have been a lot of studies proposing new caching strategies to improve the performances of CCN. However, among all these strategies, it is still unclear which one performs better as there is a lack of common environment to compare these strategies. In this paper, we compare the performances of CCN caching strategies within the same simulation environment. We build a common evaluation scenario and we compare via simulation five relevant caching strategies: Leave Copy Everywhere (LCE), Leave Copy Down (LCD), ProbCache, Cache "Less" For More and MAGIC. We analyze the performances of all the strategies in terms of Cache Hit, Stretch, Diversity and Complexity, and determine the cache strategy that fits the best with every scenario.
Greenhouse Gas Auctions and Taxes: Some Political Economy Considerations

Many economists suggest that a cap-and-trade program and a carbon tax represent promising mechanisms for addressing climate change. A potentially attractive feature of both policies is that they have the potential to recycle revenues in an efficient manner. In the case of cap and trade, this would involve using auction revenues; in the case of a tax, it would involve using tax revenues. This article evaluates various arguments for auctions and taxes in light of political realities and finds that the enthusiasm for auctions and taxes has not been accompanied by sober assessments of whether and how the revenues would actually be used. Most of the evidence suggests that at least some of the revenues would not be spent wisely. Specifically, the article urges the government to compare a realistic set of policy options, while recognizing that the feasibility of different types of mechanisms can change over time. Furthermore, it is suggested that the introduction of political economy considerations may lead to an optimal level of pollution control that is less stringent than conventional economic analysis would suggest.
Management of diabetes mellitus in the elderly with canagliflozin: A newer hypoglycemic drug on the horizon

Canagliflozin is the first available oral inhibitor of sodium/glucose cotransporter 2 (SGLT2) in the market. At the outset it sounds excellent for the use in the elderly diabetic population, because of its minimal tendency to cause hypoglycemia. However, the clinician needs to exercise caution as it needs to be dosed renally. The clinician needs to be circumspect about potential drug interactions, especially when there is an underlying chronic kidney disease (CKD) and congestive heart failure (CHF). Also its use is best avoided in people who are predisposed to genital mycotic and urinary tract infections (UTI).
Intelligent Classification of Lung & Oral Cancer through Diverse Data Mining Algorithms

Nowadays, the environment of healthcare is quiet richin information, but knowledge wise the data is very poor. There isan availability of ample amount of data within the systems ofhealthcare. Nevertheless, there is a absence of genuine tools ofinvestigation in order to determine hidden associations in data. The main motive of this investigation is towards the speciallydesigned GUI based Interface in order to input the patient'srecord. Thus anticipate whether or not the patient is sufferingfrom the lung and oral cancer by the use of the rule basedclassifier. The forecast is done from the process of mining therecent informative data of the patient and data repository or thereference value for every attributes. The reference values aretaken from specialist doctors, and internet repository. In thisresearch a comparison of Multilayer perceptron and simplelogistic algorithm have been carried out so as to analyse anddetect the lung and oral cancer in an intelligent way.
Spatially resolved acoustic spectroscopy (SRAS) microstructural imaging

Spatially resolved acoustic spectroscopy (SRAS) is an acoustic microscopy technique that can image the microstructure and measure the crystallographic orientation of grains or crystals in the material.It works by measuring the velocity of surface acoustic waves (SAWs) via the acoustic spectrum. In the usual configuration, the SAWs are generated by laser using a pattern of lines and detected by laser at a point close to this grating-like source. The use of the acoustic spectrum as a means of measuring the velocity has a number of practical advantages which makes the technique robust and fast and gives good spatial resolution. This makes the measurement suitable for imaging and gives it many advantages over traditional laser UT and microstructural measurement techniques.As SRAS is a laser ultrasound testing technique (LUT) which can be applied to a wide range of industrially relevant samples as a non-destructive evaluation technique. There are no size limitations on the samples that can be imaged and the surface preparation required is significantly more relaxed than many other techniques with the capability of operating on many as manufactured finishes. This permits the use of SRAS as an online inspection tool, for instance during additive or subtractive manufacturing, as a QA tool during manufacture or as an NDE/T tool in service.Spatially resolved acoustic spectroscopy (SRAS) is an acoustic microscopy technique that can image the microstructure and measure the crystallographic orientation of grains or crystals in the material.It works by measuring the velocity of surface acoustic waves (SAWs) via the acoustic spectrum. In the usual configuration, the SAWs are generated by laser using a pattern of lines and detected by laser at a point close to this grating-like source. The use of the acoustic spectrum as a means of measuring the velocity has a number of practical advantages which makes the technique robust and fast and gives good spatial resolution. This makes the measurement suitable for imaging and gives it many advantages over traditional laser UT and microstructural measurement techniques.As SRAS is a laser ultrasound testing technique (LUT) which can be applied to a wide range of industrially relevant samples as a non-destructive evaluation technique. There are no size limitations on the samples that can be imaged and the su.
A murine monoclonal antibody directed against the carboxyl-terminal domain of GRP78 suppresses melanoma growth in mice

The HSP70 family member GRP78 is a selective tumor marker upregulated on the surface of many tumor cell types, including melanoma, where it acts as a growth factor receptor-like protein. Receptor-recognized forms of the proteinase inhibitor &agr;2-macroglobulin (&agr;2M*) are the best-characterized ligands for GRP78, but in melanoma and other cancer patients, autoantibodies arise against the NH2-terminal domain of GRP78 that react with tumor cell-surface GRP78. This causes the activation of signaling cascades that are proproliferative and antiapoptotic. Antibodies directed against the COOH-terminal domain of GRP78, however, upregulate p53-mediated proapoptotic signaling, leading to cell death. Here, we describe the binding characteristics, cell signaling properties, and downstream cellular effects of three novel murine monoclonal antibodies. The NH2-terminal domain-reactive antibody, N88, mimics &agr;2M* as a ligand and drives PI 3-kinase-dependent activation of Akt and the subsequent stimulation of cellular proliferation in vitro. The COOH-terminal domain-reactive antibody, C38, acts as an antagonist of both &agr;2M* and N88, whereas another, C107, directly induces apoptosis in vitro. In a murine B16F1 melanoma flank tumor model, we demonstrate the acceleration of tumor growth by treatment with N88, whereas C107 significantly slowed tumor growth whether administered before (P<0.005) or after (P<0.05) tumor implantation.
On the Representativeness of Convolutional Neural Networks Layers

Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative CNNs, little is yet known about the internal features these models learn. Questions like, what specific knowledge is coded within CNN layers, and how can it be used for other purposes besides discrimination, remain to be answered. To advance in the resolution of these questions, in this work we extract features from CNN layers, building vector representations from CNN activations. The resultant vector embedding is used to represent first images and then known image classes. On those representations we perform an unsupervised clustering process, with the goal of studying the hidden semantics captured in the embedding space. Several abstract entities untaught to the network emerge in this process, effectively defining a taxonomy of knowledge as perceived by the CNN. We evaluate and interpret these sets using WordNet, while studying the different behaviours exhibited by the layers of a CNN model according to their depth. Our results indicate that, while top (i.e., deeper) layers provide the most representative space, low layers also define descriptive dimensions.
Development of Wireless and Passive Corrosion Sensors for Material Degradation Monitoring in Coastal Zones and Immersed Environment

Wireless and fully energetically passive corrosion sensors inspired from the chipless Radio-Frequency IDentification (RFID) technology are presented for the monitoring of degradation of infrastructures located in coastal zones and underwater environments. The device consists of a reader and a remote passive sensor. This study presents two radio-frequency (RF) corrosion-sensitive resonators that can be integrated in such a device. The first is sensitive to a loss of metal due to its degradation, and the second is sensitive to the corrosion potential of metals, with respect to a reference electrode. The RF characterization of these two resonators demonstrates unambiguously the sensitivity of the method to corrosion of metal, passivation of steel as well as degradation of organic coatings. Then, their integration in a demonstrator including antennas is considered. The main parameters that influence the RF wave propagation and thus the reading distance are discussed. Following the presented results, the proposed method is considered as a reliable and versatile tool which should be able to be deployed in immersed, tidal, and splash zones, for example, for offshore facilities monitoring.
BONE MARROW EXAMINATION IN VISCERAL LEISHMANIASES; A STUDY IN A TERTIARY CARE HOSPITAL.

is endemic in many parts of the world. It is a chronic febrile ailment caused by Leishmania Donovani (LD). More than three hundred million people living in the endemic areas are at high risk and fourteen million are living with the disease. The leishmaniasis is not endemic but sporadic in our state. Methods: This study was conducted over a period of 10 years in the department of Pathology and haematology, SKIMS Soura, focusing on the morphology of bone marrow aspirate and biopsy obtained from patients. The aspirate was smeared on glass slides, fixed with alcohol and stained with Giemsa stain. Bone marrow biopsy was fixed in formalin and stained with H&E Results : In our study we had total no of 9 patients as the disease is sporadic in our state.Male to female ratio was 2:1 with age range from 1 year old to 19 year old . and mean age of 10 years . Conclusion: Bone marrow aspiration and biopsy, although an invasive procedure, gives direct microscopic diagnosis of visceral Leishmaniasis and may be considered where indicated.
1,3-Bis(2,6-diisopropylphenyl)-1H-imidazol-3-ium chloride dichloromethane disolvate

In the title compound, C27H37N2 +·Cl−·2CH2Cl2, the cation and the anion are each located on a crystallographic mirror plane. Both of the dichloromethane solvent molecules show a disorder across a mirror plane over two equally occupied positions. Additionally, one isopropyl group is also disordered. In the crystal, the cations are connected to the chloride ions via C—H⋯Cl hydrogen bonds.
1 7 B . 7 A WRF and MM 5-based 4-D Mesoscale Ensemble Data Analysis and Prediction System ( E-RTFDDA ) Developed for ATEC Operational Applications

Mesoscale (10 2000 km) meteorological processes differ from synoptic circulations in that mesoscale weather changes rapidly in space and time, which renders it less predictable. Mesoscale processes are influenced by synoptic circulations, and can be caused by local topography and underlying surface physical properties. Physical processes such as radiative transfer, cloud and precipitation, boundary layer mixing, etc., sometimes play dominant roles in shaping the regional weather and climate. Thus, unlike the global ensemble systems in which attention is mostly focused on initial conditions, where perturbations associated with the fast growing modes are added, mesoscale ensemble prediction systems need to address the uncertainties associated with other aspects of modeling systems. It is known that relatively large errors in mesoscale models often lead to an unrealistically small spread and large systematic errors in ensemble forecasts.
Localization on encapsulated Cryptococcus neoformans of serum components opsonic for phagocytosis by macrophages and neutrophils

Previous studies have shown that the cryptococcal capsule inhibits phagocytosis of Cryptococcus neoformans by macrophages and neutrophils. In this study, the binding sites of potential serum opsonins in immune and nonimmune sera were determined by immunoelectron microscopy, and the results were compared with the results of phagocytosis of the yeasts by mouse peritoneal macrophages and human neutrophils. Immunoglobulin G (IgG) from normal human serum showed low-density binding at the capsular surface and at sites throughout the capsule. Complement component C3 from normal serum bound heavily at the capsular surface. IgG from rabbit capsular antiserum showed relatively dense deposition at the capsular surface and at sites throughout the capsule. Cells opsonized with heat-inactivated human serum were engulfed poorly by both macrophages and neutrophils, indicating that the low-density deposition of IgG produced by normal serum was not adequate for opsonization. Yeasts opsonized with normal human serum were engulfed in large numbers by neutrophils and to a lesser extent by macrophages, indicating that neutrophils in particular were able to effectively utilize the opsonically active C3 which normal human serum deposited at the capsular surface. Yeasts opsonized with rabbit anticapsular serum were engulfed by both macrophages and neutrophils, indicating that the high density of surface IgG produced by capsular antiserum is an effective opsonin for both cells. These results suggest that the complement-neutrophil system is a possible defense mechanism in the nonimmune host.
CROSSBRED CATTLE BY USING GnRH ANALOGUE THERAPY

This study was carried out to evaluate the effect of Dalmarelin (Lecirelin acetate, GnRH analogue) administration at the time of artificial insemination (AI) on conception rate in repeat breeding crossbred cows. A total of 64 cows maintained at the Military Farm Okara, Pakistan were included in the study. The experimental cows were divided into two groups A and B, with 32 cows in each group. Cows of group A received no treatment at the time of AI and served as untreated control, while 32 cows of group B received Dalmarelin therapy at the time of AI. The cows were examined for pregnancy 60 days post insemination per rectum. A total of 12 animals out of 32 were pregnant with a conception rate of 37.5% in control group and in treatment group 22 animals out of 32 were pregnant, having conception rate of 68.75% (P<0.05). The study revealed that use of GnRH analogue therapy improved the conception rate in repeat breeding crossbred cows when it was administered at the time of AI.
On the approximation of MIMO capacity

Information theoretical optimization problems related to the resource allocation of wireless cellular and ad hoc networks are not solvable in closed form due to the nonlinear logarithmic representation of the Shannon capacity. This paper introduces functional approximations to the MIMO capacity over flat Rayleigh fading channels, which allow for analytical solutions to network resource optimization problems. The precision of the suggested approximations is assessed and is shown to provide a very close match to the exact capacity expression.
Robust Iterative Channel Estimation for OFDM Packet Transmission System

In this paper, we propose a simple and robust iterative channel estimation algorithm in OFDM packet transmission systems. Iterative scheme with channel update process is effective to reduce the packet error rate. However, conventional iterative structure has a limit on improving the performance because error propagation often occurs while updating the channel in the low SNR. In order to overcome this problem, we introduce a novel moving average filter to enable estimating the channel more reliably. Simulation results show that the proposed algorithm outperforms the conventional scheme. In particular, combined performance of the proposed algorithm and the noise reduction method[1] is close to MMSE channel estimation algorithm.
Monodisperse yolk-shell nanoparticles with a hierarchical porous structure for delivery vehicles and nanoreactors.

Core–shell and hollow structures are powerful platforms for controlled release, confined nanocatalysis, and optical and electronic applications. A hybrid of core–shell and hollow structures, a special class of core–shell structure with a distinctive core@void@shell configuration, which are called yolk–shell or rattle-type structures, have attracted tremendous interest in recent years
Driving under the influence (DUI) among patients in opioid maintenance treatment (OMT): a registry-based national cohort study.

AIMS To investigate convictions for driving under the influence (DUI) before, during and after opioid maintenance treatment (OMT) and to examine factors associated with convictions for DUI during treatment. DESIGN, SETTING AND PARTICIPANTS Treatment data on all patients who started OMT in Norway between 1997 and 2003 (n = 3221) were cross-linked with national criminal records using unique person identifiers. Patients were followed over a 9-year period, before, during and in periods out of opioid maintenance treatment. MEASUREMENTS Data were formal charges leading to convictions recorded during four different time-periods: 3 years prior to application, waiting-list, in-treatment and in periods out of treatment. FINDINGS During OMT, convictions for DUI were reduced by almost 40% compared with pre-application levels. The conviction rate for DUI for males in the pre-application period was 9.59 per 100 person-years (PY) and for females, 3.44 per 100 PY. During OMT, rates of DUI convictions were reduced to 5.97 per 100 PY among men and to 1.09 per 100 PY among women. However, when estimating the effect of OMT on convictions for DUI, the interaction between gender and exposure to OMT was not statistically significant. Patients who remained in continuous treatment had fewer convictions for DUI during treatment compared with patients in discontinuous treatment. Compared with patients having no road traffic convictions during the pre-application period, patients with two or more pre-application convictions for DUI had higher odds [odds ratio (OR) = 3.69 (2.30-5.93)] for further convictions for DUI during OMT. CONCLUSION In Norway, patients receiving opioid maintenance treatment (OMT) have reduced convictions for driving under the influence (DUI) compared with their pre-treatment levels. Being male and having a previous history of several convictions for DUI were found to be important risk factors for convictions for DUI during OMT.
Evaluation of Garnet Film as Magneto-Optic Transfer Readout Film

A magnetic field shifter for the evaluation of garnet film which is used as a readout head for magnetic media has been developed. The shifter enables to generate a sinusoidal magnetic field along one direction with a magnitude of up to 60 Oe and to move the magnetic field at any speed from few cm/s to 80 m/s. The garnet film to be evaluated was placed in close contact to the field shifter and output signals from magneto-optic detection system were measured. An obtainable carrier-to-noise ratio was dependent upon transfer modes which took place in a garnet film. The speed response in transfer readout could not be revealed. This may be ascribed to the fact that the effective wavelength of shifting magnetic field is too long (140 μm).