Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Clinical Pathway Implementation as an Essential Part on Health Outcomes of Patients with Chronic Bronchitis

Chronic bronchitis is a common condition with significant morbidity and mortality worldwide. Clinical Pathways (CPs) encourage the implementation of evidence based practice; improve clinical processes by reducing risks and disparities in the provision of health services and reduce duplication by using a standardized approach to clinical management. The study aimed to evaluate the effect of clinical pathway implementation as an essential part on health outcomes of patients with chronic bronchitis. Research design: A quasi-experimental research design was utilized in this study. Setting: The current study was performed in the Chest Department at Benha University Hospital. Subjects: The study included (60) adult patients with chronic bronchitis, they were recruited equally into 2 groups (control & study groups 30 for each). Tools of data collection: Two tools were used for data collection: Tool Ichronic bronchitis assessment sheet. Tool II Clinical Pathway Protocol. Results: There were highly significant statistical differences among the two groups regarding hospital stay, psychological problems and dyspnea scale on discharge. Conclusion: Implementation of clinical Pathway has a positive effect on the study group compared to control group in managing patients with chronic bronchitis. Recommendations: Clinical Pathway should be implemented for patients with chronic bronchitis to improve patients' condition. Health care professionals involved in patients care with these diseases faces several complex challenges, compounded by the limited evidence base regarding cost-effectiveness of different treatment systems, and therefore, clinical pathway should be implemented to replace the traditional nursing care plan.
Cooperative Spectrum Sensing Technique Based on Blind Detection Method

— Spectrum sensing is a key task for cognitive radio. Our motivation is to increase the probability of detection of spectrum sensing in cognitive radio. The spectrum-sensing algorithms are proposed based on the statistical methods like EVD,CVD of a covariance matrix. In this Two test statistics are then extracted from the sample covariance matrix. The decision on the signal presence is made by comparing the two test statistics.The Detection probability and the associated threshold are found based on the statistical theory. In this paper, we study the collaborative sensing as a means to improve the performance of the proposed spectrum sensing technique and show their effect on cooperative cognitive radio network. Simulations results and performances evaluation are done in Matlab and the results are tabulated.
CARBON NANOTUBES AS A THERAGNOSTIC TOOL AGAINST BREAST CANCER(和訳:乳癌の診断・治療 のためのカーボンナノチューブの開発)

The scope of nanotechnology to develop target specific carriers to achieve higher therapeutic efficacy is gaining importance in the pharmaceutical and other industries. Specially, the emergence of nanohybrid materials is posed to edge over chemotherapy and radiation therapy as cancer therapeutics. This is primarily because nanohybrid materials engage controlled production parameters in the making of nanoparticles with specific size, shape and other essential properties. It is widely expressed that these materials will significantly contribute to the next generation of medical care technology and pharmaceuticals in areas of disease diagnosis, disease prevention and most importantly cancer therapy. This review firstly introduces the specific physical and chemical properties of a series of nanomaterials, such as nanoparticles, micelles, dendrimers and carbon nanotubes. It then places great emphasis on the carbon nanotubes, which show great potential as effective drug delivery systems for cancer therapy, as they can be grafted with cell-specific receptors and intracellular targeting molecules for the targeted delivery of therapeutics. In addition to the ability of nanotubes to act as carriers for a wide range of therapeutic molecules, they have also been exploited for use in photothermal destruction of cancer cells. Specifically, this article focuses on the current status, recent advancements, potentials and limitations of functionalized carbon nanotubes as targeted drug delivery carriers for efficient cancer treatment.
The E¤ectiveness of Hiring Credits

This paper analyzes the e¤ectiveness of temporary countercyclical hiring credits. Using comprehensive administrative data, we show that the French hiring credit, implemented during the Great Recession, had signi cant positive employment e¤ects and no e¤ects on wages. Relying on the quasi-experimental variation in labor cost triggered by the hiring credit, we estimate a structural search and matching model. Simulations of counterfactual policies show that the e¤ectiveness of the hiring credit relies to a large extent on its temporary nature and on high binding rigid wages. We estimate that the cost per job created by permanent hiring credits in an environment with exible wages would have been about 14 times larger. JEL Classi cation: C31, C93, J6
Surface Modification With Compositionally Modulated Multilayer Coatings

The concept of compositionally modulated multilayer coatings (CMMCs) is one that is gaining considerable interest in surface engineering, whether the end use is for wear resistance or protection against corrosive environments. Multilayer finishes are by no means a new coating format since layered coatings have traditionally been used in surface engineering e.g. decorative chromium and traditional paint finishes. Where the more recent CMMC concept differs is usually in the number of individual layers and hence their relatively small thicknesses. The CMMC concept can be produced quite readily by electrodeposition, either with a dual bath or single bath approach. The dual bath approach is physically more complex with the substrate moving between two electrolytes, with appropriate rinsing in between. The single bath concept is more complex in terms of solution chemistry and control of electrodeposition process parameters to produce the layered deposit required. This paper will examine the concept of the production of CMMCs, concentrating on their application as protective coatings for metal surfaces. The application of zinc and zinc alloy based systems will be investigated as this is one particular area of interest for this type of coating system. Of the zinc alloys that can be electrodeposited, at present, Zn-Ni, Zn-Fe, Zn-Co and Zn-Mn have been produced in multilayer format. The results from these investigations will be reviewed. Electrodeposition methods, bath chemistries and coating morphologies and performances in appropriate corrosion tests will also be reviewed.
Investigation of Rainfall-NDVI Spatial Variation-Geographical Weighted Regression Approach

Vegetation is one of the factors that affect the rainfall spatial patterns. To show the variation due to vegetation effect, the relationship between rainfall and NDVI should be spatially analyzed at local scale. In this study, the local regression technique of GWR was used to investigate the spatial relationship between rainfallvegetation derived from(2000-2011) rainfall amount of 175 stations and seasonal NDVI of Landsat 7 ETM+ during southwest monsoon (SWM). Results of Moran's I spatial autocorrelation and Local Moran's I prove the existence of variation in rainfall spatial patterns. This indicator supports the use of GWR technique to explore the local variation of rainfall-NDVI relationship. The GWR results (R = 0.49 and 0.71) have improved the global approach by Ordinary Least Square (OLS) (R = 0.12 and 0.28). Thus, the spatial relationships of rainfall-NDVI are possible to be analyzed at an individual location with the local approach by GWR. Keywords—Rainfall spatial patterns, spatial non-stationarity, Normalized Difference Vegetation Index (NDVI), spatial autocorrelation and Geographically Weighted Regression (GWR)
The molecular markers of the highly pathogenic H5N1 influenza virus in children

This study aims to investigate the potential of microRNA126 (miRNA126) as a molecular marker for the early diagnosis of H5N1 influenza. This study included a total of 16 H5N1 virus-infected children. The patients were given an intravenous injection of cephalosporins (0.03-0.05 g/day) for 3 consecutive weeks. The serum interleukin-6 (IL-6) levels were measured to determine the effectiveness of the treatment. Sixteen healthy children were used as controls. The preand post-treatment levels of miRNA126 in the blood cells of the patient group were compared with the control group. The association between the miRNA126 levels in the blood cells and the severity of H5N1 influenza was analyzed using Pearson’s correlation test. The pre-treatment miRNA126 levels in the H5N1 group were significantly higher compared with the levels in the control group (P < 0.05). The miRNA126 levels in the severe H5N1 group (defined as IL-6 > 32.1 ng/L) were significantly higher than the levels in the mild/moderate H5N1 group (defined as 11.8 ≤ IL-6 < 32.1 ng/L) before the treatment (P < 0.05). After the 3-week treatment, the miRNA126 levels in the patients were significantly reduced (P < 0.05). The miRNA126 level in blood cells was positively correlated with the severity of H5N1 influenza (r = 0.94, P < 0.05). The positive correlation between the miRNA126 level and the severity of H5N1 influenza suggests that the miRNA126 level in blood cells might be a molecular marker for evaluating the severity of pediatric H5N1 influenza and might be used in the early diagnosis of the disease.
Stress and recurrent aphthous stomatitis

Recurrent aphthous stomatitis (RAS) is a commonly-encountered oral lesion. The aim of this study was to identify the levels of stress, anxiety and depression in patients with RAS . Fourty (40) patients with RAS and 40 age-matched controls were enrolled in this study. Blood and salivary levels were analyzed electrochemiluminescence technique. The Beck Depression Rating Scale (BDRS) and Beck Anxiety Scale (BAS), Perceived Stress Scale (PSS), and State-Trait Anxiety Inventory (STAI-S and STAI-T) were applied to all participants. There was no statistically significant differences levels between two groups regarding to BDRS, BAS, PSS, STAI-S and STAI-T level. Blood cortisol levels were statistically significantly higher in patients with RAS than controls (12.45 ± 0.74 µg/dL vs. 9.8± 0.68,respectively,p=0.01), wheras there was no statistically significant difference between women with RAS than controls regarding to salivary cortisol levels (0.33± 0.03 µg/dL vs. 0.34± 0.03, respectively. Patients with RAS have not higher depression and anxiety levels compared to the control.
QUALITY ASSESSMENT AND QUANTIFICATION OF GENISTEIN IN DIETARY SUPPLEMENTS BY HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY, QUANTITATIVE NUCLEAR MAGNETIC RESONANCE, AND TWO-DIMENSIONAL DIFFUSION ORDERED SPECTROSCOPY 1H

Objective: The aim of the present study is to analyze four herbal dietary supplements containing genistein by liquid chromatography, quantitative nuclear magnetic resonance (qNMR), and diffusion ordered spectroscopy (DOSY) 1H NMR. Methods: Quantification of the active ingredient, genistein, is carried out by high-performance liquid chromatography (HPLC) and qNMR. Twodimensional (2D) DOSY NMR also allows the qualitative analysis of the samples with the detection of active ingredient and excipients present in the formulations. Results: The validated HPLC and qNMR methods showed that all four supplements contain genistein in different amounts, and 2D DOSY NMR provides a clear image of all ingredients in the formulations. Conclusion: The use of the three techniques provides detailed information on each product and its contents, and all of them are currently used for the quality control of natural supplements by our laboratory.
Vibrational Analysis of FGM Plates-A Critical Review of Various Solution Methods and Modelling Techniques

Functionally Graded Materials are the advanced composite materials which are characterized by the gradual variation in material properties (composition) and structure over volume which results in corresponding variations in the properties of the material. FGM can withstand high temperatures and efficient in reduction of thermal stresses. Significant studies are reported for predicting the vibration characteristic of Functionally Graded Material plate subjected to both mechanical and thermal loadings. This article presents a complete review of application of FGM, various processing methods of FGM, developments, different mathematical idealizations of functionally graded materials, modelling techniques, temperature profiles and various solution methods and techniques which are adopted for the vibration analysis of FGM plates. Efforts have been made to focus the discussion on the various research studies conducted until recently for the vibration analysis of FGM plates. Finally, some important conclusions and suggestions for future research are presented in this area.
Opinion Feature Extraction Using Enhanced Opinion Mining Technique and Intrinsic-Extrinsic Domain Relevance

— Mining patterns are the main source of opinion feature extraction techniques, which was individually evaluated corpus mostly belong to evaluated corpus. A measure called Domain Relevance is used to identify candidate features from domain dependent and domain independent corpora both. Opinion Features originated are relevant to a domain. For every extracted candidate feature its individual Intrinsic Domain Relevance and Extrinsic Domain Relevance values are registered. Threshold has been compared with these values and recognizes as best candidate features. In this thesis, By applying feature filter creation the features from online reviews can be identified .
A research on flexible ureteroscope lithotripsy versus percutaneous nephrolithotomy for upper urinary tract calculi

Objective: To compare the efficacies of flexible ureteroscope lithotripsy (FURL) and percutaneous nephrolithotomy (PCNL) for the treatment of upper urinary tract calculi (UUTC). Methods: In this retrospective study, 97 patients with UUTC were divided into FURL group (n=49) and PCNL group (n=48) according to the treatment methods. The primary outcomes (operation time, length of hospital stay, and stone clearance rate), and secondary outcomes (incidences of postoperative complications and S.T.O.N.E. nephrolithometry scoring) in the two groups were recorded and compared. Results: The operation time of FURL group was longer than that of PCNL group (P<0.05), and the length of hospital stay of FURL group was shorter than that of PCNL group (P<0.05). The stone clearance rate of FURL group with stone diameter 3.1-4.0 cm was lower than that of PCNL (P<0.05), and the two groups had no difference in the total stone clearance rate (P>0.05). The total incidence of postoperative complications of FURL group was lower than that of PCNL group (P<0.05). S.T. O.N. E. nephrolithometry scoring showed equal efficacies in the patients with 6-8 scores. The results of multivariate regression analysis showed that size of stones and S.T. O.N. E. nephrolithometry scoring were independent risk factors for stone clearance rate (both P<0.05). Conclusion: Compared with PCNL, FURL had an effect on UUTC when the stones were under 3 cm, and the stone clearance rate of patients with 6-8 S.T. O.N. E. nephrolithometry scores could be effectively predicted.
Dynamic Evaluation Method of Caprock Microscopic Sealing in CO2 Sequestration Project

The existing statistical evaluation methods of caprock sealing ability in CO2 sequestration engineering only take into account the sealing ability of caprocks before sequestration but cannot reflect the retained sealing ability of caprock after hydrochemical reactions. A microscopic sealing evaluation method of caprock was established based on the microscopic mechanism of chemical reaction and the breakthrough pressure of caprock which, changes with the time of CO2 sequestration, was taken as the dynamic evaluation index. The results show that the change of microstructure parameters such as the average pore radius after dissolution is the essential reason that affects the variation of the caprock microscopic sealing property. Dissolution or precipitation of different caprock minerals during the chemical reaction process is the key factor that determines the decrease or increase of caprock microscopic sealing property. The evaluation method can reflect the change of microscopic sealing property of the caprocks in different areas as the sealing time goes and provides an efficient and practical quantitative evaluation method for the initial formation site selection and safety sealing in the later stage.
RESPECTING THE “STANDARDS PROFESSIONAL”

How important are standards in the world of information and communications technology? On a scale of "not important" to "damn important," I would cast my vote to place them at the profane end of the spectrum. Assuming that judgment is on target, I find it curious that so little attention is paid to how standards are created.
A Study on the Nanotechnology in Water and Waste Water Treatment

In most parts of the world, increases in population, the use of huge quantities of fertilizers and pesticides in modem agriculture, the expansion of food processing industry and the growth of other industrial processes contribute to the volume of sewage and waste water. Therefore wastewater treatment attempts to remove compounds with a high BOD, pathogenic organisms and harmful chemicals. Waste water treatment issues have been emergent problems these days. Its treatment is fetching must in this Industrial world. Nanotechnology holds great potential in advancing water and wastewater treatment to improve treatment efficiency as well as to augment water supply through safe use of unconventional water sources. Here we review recent development in nanotechnology for water and wastewater treatment. Nanoparticles have a great impending to be used in waste water treatment. Some of the inimitable characteristics of it having elevated surface area can be used efficiently for removing mortal metal ions, disease causing microbes, inorganic and organic solutes from water. The different classes of nanomaterials also have the authority to be efficient for water treatment like metal-containing nanoparticles, carbonaceous nanomaterials and zeolites. Nanotechnology has led to various efficient ways for treatment of waste water in a more precise and accurate way on both small and large scale.
Signal Attenuation Effect on the Reception of VHF/UHF Terrestrial Broadcasting in Oron and Its Environment, Nigeria

High-tech innovations flitting around the scientific manipulation of the electron, have tremendously influenced the Information and Entertainment industry. One of these major beneficiaries is the Broadcast industry. Television viewing hubs play major role because of its audio visual content. Audio signal quality can deteriorate without much impact on the received signal. However, visual signals are highly sensitive to fluctuations, and therefore, easily noticed to the discomfort of the viewer. This research study carried out measurements and analyses of signal strength levels from two propagating television stations (UHF and VHF): Akwa Ibom Broadcasting Corporation (AKBC), and Nigerian Television Authority (NTA). This was with a view to finding out whether signal attenuation has effect on the reception of VHF/UHF in Oron from television broadcasting stations. It was also aimed at establishing the primary, secondary and fringe service areas of these signals at different strategic locations in Oron Local Government Area. Radio frequency analyzer, with 24 channels spectrum, ranging between 46-870MHz (model: RO.VE.R.-‘DLM3-T’) was deployed to capture signals from terrestrial television stations (TV). CATV measured signal of TV stations in dB, dBμV and dBmV. An outside television antenna of dimension 59(L) x 8.5(W) x 11(H) cm on a pole of about 10m, was used to receive the signal at different locations. Its frequency ranged from 40-860MHz; while varying from channel 1 to channel 69. Even in areas where the audio signal received was partially audible, the video signal was alright to the comfort of some subscribers. Interestingly, there was a very good reception from Channel 45 in Oron with over 50% of the accessible region receiving over 32dBμV and empirical path-loss levels were best predicted by Egli’s model. This was attributed mostly to flatness of some regions which were almost at the same level with the transmitting antenna . The calculated path loss was compared with other standard models, and the results indicated that only Egli’s model closely agreed with the measured path-loss in this rural setting. However signals from channel 12 dropped to about 19dBμV in the creeks due to signal attenuations caused by the thick vegetation of this environment. This has greatly affected the signal reception in this arear.
Smart Airport: A Review on Future of the Airport Operation

Smart Airport concept is the future of Airport operation and it may dramatically change the industry towards modern technology adaptation. This study mainly focuses on the Smart airport applications in to passenger terminal process. Literature scattered on different sources have been summarised to explain the features of smart airport with practical cases in global context. Empirical indications on implementation of the smart airport applications discussed based on practical implications of airport operations. Special attention given to the cases of the best performing major airports in Asia, Middle East & Europe. This study contribute to the field of academia and industry by identifying the advantages of smart airport implementation under the key areas of Aviation Security, Passenger Convenience, Operational Efficiency and Optimizing Limited resources. Further implantation methodology under passenger, baggage handling & regulatory controls have been discussed in this paper. Finally key challenges in implementation of the smart airport concept has been addressed and concludes with empirical justifications highlighting future research priorities on implementing the concept.
A Comparative Analysis of Various Association Rule Mining Algorithms

: Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, we provide execution time related to association rule mining algorithms and survey the record of existing association rule mining methods and find out the fastest association rule mining algorithm. Obviously, a single article cannot be a entire review of the entire algorithms, yet we wish that the references cited will cover up the major theoretical issues, guiding the researcher in motivating research information that have yet to be explored.