Miracle-dz/UniFAR-FTUs huggingface dataset:
New Nutritional And Terapeutical Strategies Of Nec.

Necrotizing enterocolitis (NEC) is a multifactorial disorder that primarily affects premature infants. Several feeding practices, such as type of feeding (human milk versus formula feeding), timing of enteral feeding initiation and flux of enteral feeding have been investigated so far in order to prevent NEC. However, currently well-established and shared clinical nutritional practices are not available in preventing NEC. Nutritional and surgical treatments of NEC are instead well defined. In selected cases surgery is a therapeutic option of NEC, requiring sometimes partial intestinal resection responsible for short bowel syndrome. In this paper we will investigate the available options for treating NEC according to the Walsh and Kliegman classification, focusing on feeding practices in managing short bowel syndrome that can complicate NEC. We will also analyze the proposed ways of preventing NEC.
A Key Point Method for Data Registration for MultiSensor Fusion

It has been recognized that multi-sensor data fusion can provide a more holistic, accurate and reliable information of the measured surface. Data registration, which is used to align data into one coordinate system, is a key step of data fusion. Widely used feature-based methods find correspondence between features, and then a geometrical transformation is determined to map the target data to the reference data. Reliable and accurate feature selection is thus very important for data registration. In this research, a reliable key point method called Scale Invariant Feature Method (SIFM) for data registration is investigated. By using this method, for each data, one can build a set of feature descriptors of the defined key points, which have the scale/shift/rotation invariant properties. Then the correspondence of two data and geometrical transformation can be achieved by finding the matching of two feature descriptors through closeness measurement. Initial tests on freeform and structured surfaces have proven the effectiveness and efficiency of the method.
A Measurement Model of Independent Learning Based on Connectivism Theory and Web 2.0: Partial Least Squares-Structural Equation Modeling (Pls-Sem) Approach

The study aims to evaluate an independent learning measurement model based on connectivism theory and Web 2.0. The quantitative method is used in this study. The data is obtained through the instrument of connectivism theory and Facebook usage. The subject of this study was 81 students of Two Year Programme in one of the matriculation colleges in Malaysia. These respondents were selected based on purposive sampling. The statistical analysis involved descriptive statistics and Partial Least Squares-Structural Equation Modeling (PLS-SEM) as the method used in this study. The findings indicated that there were significant structural relationships between connectivism theory and Web 2.0 towards students' achievement. Furthermore, the structural model showed that students' achievement is influenced by the principles of connectivism theory and Facebook as a learning tool. In conclusion, this study had successfully developed and evaluated an independent learning model based on connectivism theory and Web 2.0 through PLS-SEM. This study implied that apart from connectivism theory, Web 2.0 learning tool which is Facebook is also contributed a different perspective to the process of students' learning at matriculation colleges.
Microbiology of ready-to-eat foods

1.2 Listeria monocijtogL'nes . 3 1.2. 1 Outbreaks of L. monocytogenes in RTE Foods.3 1.2,2 Incidence and Prevalence of L. m000cytogenes in RTE Foods.5 1.2. 3 Strategies for Controlling L. rnonocytogenes in RTE Foods. 9 1.3 Salmonella enterica . 13 1.3. 1 Outbreaks Associated with Salmonella in RTE Foods.14 1.3. 2 Incidence and Prevalence of Salmonella in RTE Foods . 17 1.3. 3 Strategies for Controlling Salmonella in RTE Foods.18 1.4 Esclierichia coli 0157:H7 . 20 1.4. 1 Outbreaks Associated with E. co/i 0157:H7 in RTE Foods.21 1.4. 2 Incidence and Prevalence of F. coli 0157:H7 in RTE Foods.23 1.4. 3 Strategies for Controlling E. co/i 0157:H7 in RTE Foods.24 1.5 Clostridium perfringens . 27 1.5. 1 Outbreaks of C. perfringens in RTE Foods. 29 1.5. 2 Incidence and Prevalence of C. perfringens in RTE Foods.31 1.5. 3 Strategies for Controlling C. perfringens in RTE Foods . 32 1.6 Conclusion . 39 1.7 Future Outlook.40 References.41
Multiview 3D sensing and analysis for high quality point cloud reconstruction

Multiview 3D reconstruction techniques enable digital reconstruction of 3D objects from the real world by fusing different viewpoints of the same object into a single 3D representation. This process is by no means trivial and the acquisition of high quality point cloud representations of dynamic 3D objects is still an open problem. In this paper, an approach for high fidelity 3D point cloud generation using low cost 3D sensing hardware is presented. The proposed approach runs in an efficient low-cost hardware setting based on several Kinect v2 scanners connected to a single PC. It performs autocalibration and runs in real-time exploiting an efficient composition of several filtering methods including Radius Outlier Removal (ROR), Weighted Median filter (WM) and Weighted Inter-Frame Average filtering (WIFA). The performance of the proposed method has been demonstrated through efficient acquisition of dense 3D point clouds of moving objects.
Epidemiology of Venous Thrombosis

Q1 Please check the inserted short title Q2 Please provide key to abbreviation for Table 1,2,6,7,8. Q3 Is this figure part of table 4? Can it be placed below table text? Q4 Please note the references are not cited in sequential order. Please confirm if it is okay. Q5 Please confirm 2400 days is ok Q6 Please provide a minimum of three author names for all the et al. references. Q7 Please provide complete author name for the second author Q8 Please provide updated and complete details. FirstProof
Syntactic analysis of natural languages based on context freegrammar backbone

The paper introduces libkp comparison and evaluation system for the syntactic processing of natural languages. The analysis of sentences is based on context free grammar for given language with contextual extensions (constraints). The tool is language-independent, even though it is optimized for very large and highly ambiguous grammars for Czech (thousands of rules). We discuss the advantages of our modular design as well as efficiency of the processing on the standard evaluation grammars. We also expect this system to be used for comparing and evaluating different CFG-parsing algorithms.
Situación de la Insuficiencia Renal Crónica Terminal en el Municipio de Marcos Paz, provincia de Buenos Aires como base para una propuesta de detección precoz de la Enfermedad Renal Crónica

Until recently, the municipality of Marcos Paz (province of Buenos Aires) was faced with a high incidence of end stage renal disease. Most of these patients reached this state without; a definitive vascular access, a hepatitis B vaccination, appropriate control for anemia or renal bone disease and poor nutritional state. Based on study and its results, I suggest implementing a program for early detection of chronic kidney disease. The patients would need to be classified according to the stage of advancement of the disease based on the Nacional Kidney Foundation scale. The scale is derived from a formula that estima tes glomerular filtration rate based on the measurement of serie creatinine. The management of the patients and the referral to a nephrologist would be deterrnined by the clinical practice guideline chosen.
Total lipid , fatty acid composition and lipid peroxidation of Pontogammarus maeoticus ( Crustacea , Amphipoda , Pontogammaridae ) in Caspian Sea , Iran

Total lipid, protein, fatty acid contents and lipid peroxidation were investigated in Pontogammarus maeoticus in the southern Caspian Sea. The estimated lipid content in males during both seasons (summer and autumn) showed a lower level than females but in autumn lipid level in males was higher than in summer. Protein contents in both genders in autumn were lower than the levels in summer. Nevertheless, such a decrease was more noticeable in females than their male counterparts. Similar fatty acids composition observed in both sexes and they mainly included docosahexaenoic acid, eicosapentaenoic acid, oleic acid, palmitic acid. Polyunsaturated fatty acids (PUFA) levels in both sexes stood higher than other types of fatty acids with different contents in males and females. Females showed greater levels of eicosapentaenoic acid and docosahexaenoic acid than males. The lipid peroxidation rate in males was significantly higher than females (p ≤ 0.05) whereas it decreased in both genders in autumn. The results indicated that there are sex related variations in P. maeoticus in terms of fatty acids and lipid peroxidation. Meanwhile, the high amounts of PUFA are related with decrease in lipid peroxidation levels in this species.
Sains Humanika A Review of Knowledge Sharing Barriers among Academic StaffA Malaysian Perspective

Nowadays within the era of new technology and knowledge, the worldwide becomes more knowledge oriented. Despite the growing significance of knowledge sharing practices for university success and competitiveness, several barriers make it difficult for knowledge sharing to achieve the goals of universities to deliver innovation and improve the social and cultural enterprise. This paper highlights the barriers that affect knowledge sharing among academic staff in Malaysian universities, categorizing them into two main domains of recently published works, the first domain is the internal barriers and second domain is the external barriers. This review of knowledge sharing barriers among academic staff provide the university management a starting point to evaluate their situation, towards achieving the vision of 2020 and one of the most important objectives for the Ministry of Higher Education (MOHE) in Malaysia.
Analysis of Retransmission Schemes for Wireless Sensor Networks

Wireless transmission channels are lossy and therefore communication protocols for Wireless Sensor Networks (WSNs) employ re-transmission schemes. In general, temporal, spectral and spatial diversity can be used to improve the likelihood of re-transmission success. It is possible to control when, on which channel and to which destination a re-transmission attempt is performed. A communication protocol designer has the option to select a combination of these available re-transmission schemes. It has not yet been resolved which combination of available mechanisms is the best choice. In this paper we compare the available schemes directly and quantify the benefits of each, with a testbed experiment being used for comparative evaluation of the re-transmission schemes. The widely used 802.15. 4 transceivers are employed and 802.15. 4 and 802.11 interferer nodes are used to test re-transmission schemes for the evaluation. The results show that for typical WSN scenarios, spectral diversity and spatial diversity are equally good, and outperform temporal diversity. Furthermore, the results show that a combination of spatial and spectral diversity does not lead to a significant improvement.
The Global space-time Cascade structure of precipitation : satellites , gauges and reanalyses

Cascades have been used as models of precipitation for nearly 25 years yet many basic questions remain unanswered and most applications have been to small or to regional scales. In this paper we revisit some of these issues and present an inter comparison of three global or near global scale data sets: the hourly (and ≈200 km) resolution Climate Prediction Center (CPC) gridded precipitation over the continental US, the three hourly global ECMWF reanalysis stratiform precipitation product at 1.5 resolution and an analysis of 5300 orbits (1 year) of the Tropical Rainfall Measuring Mission (TRMM) satellite rainfall over ±40 latitude. Each data set was analyzed zonally, meridionally and in time. Each showed accurate cascade structures; in space up to planetary scales and in time up to 5 – 10 days. For each we estimated the moment scaling exponent (K(q)) as well as it’s characterization near the mean (C1) and the effective outer cascade scales. The comparison of the cascade structures in different directions indicate that although anomalies remain, that the structure is relatively isotropic in (horizontal) space-time.
CONVECTIVE DRYING KINETICS OF GROUNDNUT EXTRACTION CAKE

The groundnut contains valuable edible oil (45-60 %), proteins (20-30 %), carbohydrates (18-20 %), essential vitamins and minerals. Groundnut seeds are used for the production of imitation milk containing 15.92 g /100 g of total solids, i.e. 5.74 g/100 g of fat, 4.24 g/100 g of carbohydrate, 5.58 g/100 g of protein, and 0.34 g/100 g of ash. The groundnut extraction cake examined in this paper was convectively dried at air temperature 80 °C and 90 °C for different periods of time (0-120 min). The moisture content of the groundnut extraction cake totaled 63.01 %. The following models were used to fit the simulation and experimental data obtained for the convective drying kinetics of the groundnut extraction cake under consideration: Page, Modified Page, Oneand Two-Term Exponential, Cubic (Sigmoid), Exponential, Vega-Galvez, Logistic and Rational. The Page model had the best goodness of fit at air temperature 80 °C, whereas the Exponential model had the best goodness of fit at 90 °C due to the highest coefficient of determination (R) and lower Rmse and Sse values.
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1

Abstract. We present multi-seasonal simulations representative of present-day and future environments using the global Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 with high resolution (15 km) throughout the Northern Hemisphere. We select 10 simulation years with varying phases of El Niño–Southern Oscillation (ENSO) and integrate each for 14.5 months. We use analyzed sea surface temperature (SST) patterns for present-day simulations. For the future climate simulations, we alter present-day SSTs by applying monthly-averaged temperature changes derived from a 20-member ensemble of Coupled Model Intercomparison Project phase 5 (CMIP5) general circulation models (GCMs) following the Representative Concentration Pathway (RCP) 8.5 emissions scenario. Daily sea ice fields, obtained from the monthly-averaged CMIP5 ensemble mean sea ice, are used for present-day and future simulations. The present-day simulations provide a reasonable reproduction of large-scale atmospheric features in the Northern Hemisphere such as the wintertime midlatitude storm tracks, upper-tropospheric jets, and maritime sea-level pressure features as well as annual precipitation patterns across the tropics. The simulations also adequately represent tropical cyclone (TC) characteristics such as strength, spatial distribution, and seasonal cycles for most Northern Hemisphere basins. These results demonstrate the applicability of these model simulations for future studies examining climate change effects on various Northern Hemisphere phenomena, and, more generally, the utility of MPAS-A for studying climate change at spatial scales generally unachievable in GCMs.
Tanaman Ginseng Jawa ( Talinum triangulare ) berdasarkan Gen Ribosomal 16 S rRNA dan 18 S rRNA

The rhizosphere is a biologically active zone of the soil around plant roots that contains soil-borne microbes including bacteria and fungi. The microbes were isolated from rhizosphere soil roots of Java ginseng. The population of microbes was estimated by plate count method. The isolates were identified based on a great variety of morphological, and cultural characteristics. The total of rhizosphere soil microbe population were 20.91(106 cfu.g−1soils) and showed that 12 isolates of bacteria, 15 isolates of actinomycetes, and 10 isolates of fungi which were found in all of soil samples. The molecular analysis of the ribosomal genes showed that the bacterial isolate, actinomycetes and fungi were closely related to of Staphylococcus sp. DGM (JF923460), Streptomyces avidinii (EU593640) and fungi Aspergillus niger (HQ379853), respectively.
Semi-automatic Detection of Liver Lesions in CT-Images using Digital Image Processing Techniques and Otsu ’ s Thresholding Algorithm

The incidence of liver lesions has increased dramatically in recent years . Early diagnosis is the best solution for rescuing patients exposed to this type of cancer , which opens the possibility of treatment . There are a number of techniques that are used in the treatment of digital medical images , but segmentation is the best technique , the technique used in this research depends on the calculation of the value of intensities of anatomical structures of the liver in the so called histogram to determine the extent of intensities of the infected and non-infected regions this method called Otsu’s method. Otsu's method uses an exhaustive search to evaluate the criterion for maximizing the between-class variance First all the noises had been removed using smoothing and shapening filters the use of two filters to optimize because smoothing out tissue variation would remove all image details that are needed for proper segmentation. Second the histogram had been calculated which represent the intensities of each elements in the image ,Then using mathematical equations the value of the main key had been obtained in the detection of the affected regions . After segmention done, morphological operations used to enhance the lesions boundaries . To simplify the understanding and use of this method , a user interface is designed for users who are not require to know technical details. This method is effective in detecting of liver lesions but it take time in the process of calculation , so Otsu work on to develop its technique to new one name it 'two dimensional Otsu’s method' and characterized by effective and less calculation time , this is the next step for those who want development in the way of my research.
Space-time processing : an experimental test platform and algorithms.

This Thesis describes the concept, architecture, development and demonstration of a Smart Antenna Software Radio Test System (SASRATS). SASRATS was designed and developed as a functional and flexible system to facilitate the field testing of space-time processing architectures and algorithms. It is designed to facilitate the correlation of theoretical, simulated and measured performance. The SASRATS architecture has the capability of batch, pseudo-real and real time implementation of signal processing algorithms. It is used here to verify the work done by the author and others in the field of signal enumeration and blind beamforming. The Thesis develops a robust method to enumerate the incident signals impinging on a uniform but variable size linear array independant of the extent of their correlation in a Rayleigh flat fading channel environment. The method selfoptimizes the array size by minimizing the number of antennas with respect to the number of signals and adapts continously to maintain optimum performance in a mobile environment where users (signals) come and go. An algorithm is formulated with simulation and field results presented. A robust channel order estimation algorithm using multiple antennas is also presented. We show that the approach has better performance than the conventional information theoretic based channel order estimation algorithms. It operates over a wide range of signal-to-noise ratios and is tolerant to correlation between channels. Algorithm performance is evaluated via computer simulation.
Composition of System Properties

As software systems become larger, the interaction of their components becomes more complex. This interaction may limit reuse, and make it difficult to validate the design and correctness of the system. As a result, reengineering of these systems might be inevitable to meet future requirements. There is a general feeling that OOP promotes reuse and expandability by its very nature. This is a misconception as none of these issues is enforced. Rather, a software system must be specifically designed for reuse and expandability. In this paper we describe an aspect-oriented framework where both functional components and system properties are designed relatively separately from each other. This separation of concerns allows for reusability and enables the building of software systems that are manageable, stable and adaptable. Our work concentrates on the decomposition of concurrent objectoriented systems and our goal is to achieve an improved separation of concerns in both design and implementation.
Loop L 1 governs the DNA-binding specificity and order for RecA-catalyzed reactions in homologous recombination and DNA repair

In all organisms, RecA-family recombinases catalyze homologous joint formation in homologous genetic recombination, which is essential for genome stability and diversification. In homologous joint formation, ATP-bound RecA/Rad51-recombinases first bind single-stranded DNA at its primary site and then interact with double-stranded DNA at another site. The underlying reason and the regulatory mechanism for this conserved binding order remain unknown. A comparison of the loop L1 structures in a DNA-free RecA crystal that we originally determined and in the reported DNA-bound active RecA crystals suggested that the aspartate at position 161 in loop L1 in DNA-free RecA prevented doublestranded, but not single-stranded, DNA-binding to the primary site. This was confirmed by the effects of the Ala-replacement of Asp-161 (D161A), analyzed directly by gel-mobility shift assays and indirectly by DNA-dependent ATPase activity and SOS repressor cleavage. When RecA/Rad51-recombinases interact with double-stranded DNA before singlestranded DNA, homologous joint-formation is suppressed, likely by forming a dead-end product. We found that the D161A-replacement reduced this suppression, probably by allowing double-stranded DNA to bind preferentially and reversibly to the primary site. Thus, Asp-161 in the flexible loop L1 of wild-type RecA determines the preference for single-stranded DNA-binding to the primary site and regulates the DNA-binding order in RecA-catalyzed recombinase reactions.
PEDESTRIAN COUNTING SYSTEM ANDY SIM A project report submitted in partial fulfilment of the requirements for the award of Bachelor of Engineering (Hons.) Electrical and Electronic Engineering

Real-time pedestrian counting is on high demand for traffic control, marketing and management of the crowd. In this project, an automatic and robust pedestrian counting system for a shopping mall based on computer vision is proposed. It is very important to determine the recession and peak hours of the mall by visitors counting for business decision making. The proposed method utilizes a pre-installed overhead or surveillance camera on the entrance of the sidewalk or a corridor in the mall compound for security purpose. By accessing the camera, the area of interest is scanned, images are processed and the pedestrians in the regions are detected. By using different approach of image and video processing methods, this system can be implemented in Visual Studio with the help of OpenCV image processing libraries. Several methods of image processing techniques such as background subtraction, optical flow, Harr-like feature detector and Histogram of Gradient are reviewed in this report. A pedestrian counting method based on Histogram of Gradient is presented. The principle of HOG is introduced and the detection accuracy, parameters of configuring the system and also the defectiveness of the system is being discussed. The proposed system is able to detect the positions of human accordingly to real time. The computer experiment has shown that the system is able to detect and count the human correctly.