Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing Ship models in Transient Waves

Abstract : The seaworthiness characteristics of a ship design are often determined by a series of model tests in regular waves. This report describes a new model test procedure which makes use of a transient wave disturbance having energy distributed over all wave lengths of interest. With the use of this transient wave technique, the testing time required to characterize a model is reduced by an order of magnitude. In this report, the basic behavior of a unidirectional transient wave is discussed, and a simple Fourier transformation is developed to link wave height records measured at any two separated points along the path of such a wave. A particular form of transient wave, which is approximately sinusoidal with linearly varying frequency, has been used to test successfully a number of ship models. The results of these tests are presented and the practical problems in generating, measuring, and analyzing transient wave tests are discussed.
Exploring the multi-dimensional influencing factors associated with sub-health status for residents: a cross-sectional study from China

Background: The high incidence of sub-health and its impact on life and work have attracted wide attention. Sub-health status has been studied in China; however, there remains a lack of studies on multi-dimensional factors affecting sub-health status. This study aims to explore the sub-health status of residents, and its influencing factors in Zhuhai city of Guangdong Province of China. Methods: Data were originated from the baseline survey of Zhuhai WHO Healthy Cities Index System in 2015, which was a cross-sectional study for the influencing factors associated with sub-health status. Finally, 3,313 participants aged 16-65 years were recruited. The study used the Sub-health Measurement Scale (SHMS V1.0), and the multivariate logistic regression model was to examine their possible associations with sub-health status. Data were analyzed using the SPSS version 22.0. Results: Sub-health and non-sub-health groups accounted for 56.8% and 43.2% of the study population, respectively. There existed significant differences in terms of all items of SHMS V1.0 between the two groups. In the multivariate model, the place of residence was statistically significantly associated with sub-health, followed by having many close neighbors, relatives or friends, and happy feelings. Conclusion: There are significant differences in many items of SHMS V1.0 between sub-health and non-sub-health groups. The leading determinants of sub-health included place of residence; having close neighbors, relatives or friends; having happy feelings; and negative emotions. To develop an effective sub-health intervention program, these factors should be taken into consideration. To develop an effective sub-health intervention program, the influencing factors should be taken into consideration.
Evidence-Based Health In Primary Care: Among Electronic Portals, Telehealth And Digital Libraries

Background: To make an analysis and propose solutions to improve the teaching and learning process in the scenario of the Basic Family Health Units (BFHU). Method: First phase: Authors conducted a qualitative-quantitative study with students and preceptors of Primary Care containing open and closed questions from medical schools. The closed questions were presented as descriptive statistics and the open ones from the creation of categories. It was pointed out the perception of the main problems for teaching learning. Second phase: Meetings were held from students and respective preceptor for 6 months, using electronic portals, through the application of new questionnaires, using the Likert scale in pre and post evaluation. Results: On the first phase, 40% of the students considered as a problem the degree of training of the local preceptor. A similar result was found in the speech of the teacher, which categorization revealed a lack of adequacy between training and performance in Primary Care in most of the categories created. Based on our results, we used the BHFU to apply new strategies little used for teaching and learning, in order to improve health practices, such as the use of the Evidence Based Health portal, which has shown greater navigability and offers studies with clinical evidence criteria. On the second phase, the authors identified an improvement in the quality of learning both by the preceptor and by the students. Conclusions: The use of electronic portals can be a tool that legitimized or enhance the teaching and learning (teaching/learning space) in BHFU.
Study and implementation of mesoscale weather forecasting models in the wind industry

As the wind industry is developing, it is asking for more reliable short-term wind forecasts to better manage the wind farms’ operations and electricity production. Developing new wind farms also requires correct assessments of the long-term wind potentials to decide whether to install a wind farm at a specific location. This thesis is studying a new generation of numerical weather forecasting models, named mesoscale models, to see how they could answer those needs. It is held at the company Maia Eolis which operates several wind farms in France. A mesoscale model, the Weather Research and Forecasting model (WRF), was chosen and used to generate high resolution forecasts based on lower resolution forecasts from NCEP’s Global Forecasting System. The stages for implementation of daily forecasts for the company’s wind farms were: explore and configure the model, automate the runs, develop post-processing tools and forecasts visualization software which was intended to be used by the management team. WRF was also used to downscale wind archives of NCEP’s Final Analysis and determine the possibility to use these in assessing wind potentials. Finally the precision of the model in both cases and for each wind farm was assessed by comparing attained data from the model with real power production.
AN EFFECTIVE AND ETERNAL MAINTENANCE METHOD FOR CONCRETE TUNNEL STRUCTURES

This paper presents the results of study to confirm that a Cement Crystal Increasing Material is effective to make concrete itself impermeable and to suppress every kind of damage and deterioration, by increasing cement crystals in pores and voids of concrete body. It is a quite different method from ordinary ones by coating and injecting resinous materials which have properties that are different from concrete to the surfaces and into the cracks as physical barrier. The effects of application with the material was verified by permeability test and SEM (Scanning Electron Microscope) survey with concrete specimens and cylindrical test pieces from the concrete linings of some tunnels in service by applying this material.
EFFECT OF POLYMERIC NANOPARTICLES OF CURCUMIN ON A549 CELL LINE

Objective: Lung cancer cell line specially A549 is one of the most common malignant tumors. Curcumin is obtained from rhizomes of curcuma longa and does possess biological and pharmacological properties, among them anti-tumor activity is also one of the major findings. Here we try to developed a method for delivery of curcumin for cancer therapy. Methods: Due to low water solubility and bioavailability curcumin delivery designed as polymeric nanoparticles and prepared by emulsification homogenization method. Results: Characterization done by evaluating zeta size, potential, scanning electron microscopy. Release pattern also studied along with encapsulation and loading data. Nanoparticles were found to be spherical from morphological study and found to be below 200 nm. It does possess cytotoxic activity against lung cancer cell line and potent in comparison with its free from. Conclusion: We can conclude that polymeric nanoparticles are suitable form to delivery for antitumor activity and have suitable anticancer ctivity.
Testing for Equal Predictability of Stationary ARMA Processes

Abstract In this work we use a measure of predictability of a time series following a stationary ARMA process to develop a test of equal predictability of two or more time series. The test is derived by a set of propositions which links the structure of the AR and MA coefficients to the predictability measure. A particular case of this general approach is constituted by time series having a Wold decomposition with weights having the same sign; in this framework the equal predictability is equivalent to parallelism among ARMA models and the null hypothesis of equal predictability is simply a set of linear restrictions. The ARMA representation of the GARCH models presents non-negative weights, so that this test can be extended to verify the equal predictability of squared time series following GARCH structures.
Context-Aware Multi-Stage Route Planning

One way to prevent collisions and deadlocks between agents on infrastructures with capacity constraints is to use context-aware route planning algorithms. In context-aware route planning, there is a set of agents each planning a conflict-free route from a start location to a destination location on a common infrastructure. If a sequential approach is used for route planning, finding an optimal conflict-free route for a single agent can be done in polynomial time by allowing agents to place reservations on infrastructure resources for the intended periods of occupation. In the multi-stage variant of the context-aware route planning problem, there is a sequence of locations to be visited by an agent instead of just a start and destination location as in single-stage route planning. A straightforward approach to the multi-stage route planning problem would be concatenating subsequent routes found by a single-stage algorithm. However, this solution is incomplete and sub-optimal in case of context-aware route planning. Therefore, we developed three multi-stage route planning algorithms that always return an optimal route for a single agent, given a set of reservations made by previous agents. The results of our experiments show that one of the multi-stage algorithms is suitable for use in practice, since the cpu-time needed to make a route is at most a few tenths of a second.
Mechanistic-Empirical Design Guide Analysis of Asphalt Pavements with Granular Base Course

Five newly constructed asphalt pavement projects with granular base were selected in this study. Design analysis with the NCHRP Mechanistic-Empirical Design Guide (MEPDG) was conducted for these projects with and without granular base as well as with and without treated subgrade. The asphalt base thickness was also varied. The output parameters include terminal International Roughness Index (IRI), Longitudinal (AC surface top down) cracking, alligator (AC bottom up fatigue) cracking, transverse cracking (AC thermal fracture), rutting (permanent deformation- AC layer only) and rutting (permanent deformation- total pavement). Crushed aggregate (AB-3) and lime or cement-treated subgrade do not have much effect on the performance of the sections. Alligator cracking is the critical performance criterion. The thickness of AC bases highly affects the performance of the sections in alligator cracking.
The Social Mind

After the commercial failure of his historical romance Cup of Gold and his California novel To a God Unknown, John Steinbeck faced a critical juncture in his career before he found success with his labor trilogy. Then, in the early 1930s, he turned toward new material. Drawing on conversations with Ed Ricketts, Joseph Campbell, and Richard and George Albee, among others, Steinbeck developed his “Argument of Phalanx”—loosely based on the Greek military arrangement of a body of troops that stand or move in close formation—as a social philosophy concerning man’s relations within groups. The problem of men uniting into hordes under a pseudo-Christian cause had previously manifested itself in American texts, ranging from the satire against lynching in The Adventures of Huckleberry Finn to the mob attacking Wing Biddlebaum in Sherwood Anderson’s Winesburg, Ohio. While Steinbeck sometimes advocated his phalanx argument for dire circumstances, he largely used the theory to suggest that the group is able to achieve momentous social change through sheer power. This concept, especially during the Great Depression, fueled some of Steinbeck’s most powerful novels about workers struggling against the injustices of capitalism or refugees surviving military oppression. Much has been written on the influences behind Steinbeck’s group-man theories, especially as they appear in The Grapes of Wrath.1 Missing from this discourse on the phalanx argument, however, has been the influence of UCLA philosopher John Elof Boodin. Jackson Benson left a trail on Boodin for scholars to follow in his comment that Richard Albee brought to Steinbeck an “enthusiasm for the philosophy of one of his professors, John Elof Boodin, a philosophy The Social Mind
Are We Sick Yet: Assessing Consumer Mortality from Food Contamination in Multiple Distribution Channels

According to the Center for Disease Control approximately 48 million people get sick from foodborne illnesses per year. In 2011, about 80% of illnesses were triggered by unspecified agents transmitted through food. Food contaminations put customers at risk and can be detrimental to the economy since customers rely on the fact that the food system is reliable and resilient. This research aims to compare the vulnerabilities of three food supply chain distribution channels: food retail, food service and food manufacturing. Distribution channels are the last nodes in the supply chain and they dictate how many people interact with contaminated products. This study will evaluate how many people are exposed to illness from an intentional chemical contamination. A discrete time Markov Chain with rewards model is developed to estimate the number of individuals to become ill given a successful attack on the food system. The model incorporates information on purchasing behavior, product shelf life, and the relationship between individual contaminant consumption and illness. Preliminary results show that more customers are expected to experience illness when purchasing from food retail and food service locations. However, food manufacturing has the shortest time frame for imposing an intervention to prevent further illness. The proposed research has the potential to provide insight into timely interventions and influence how intervention policies would need to be tailored to each distribution channel in the event that a chemical contamination occurs.
RESTful Wireless Sensor Networks

Sensor networks have diverse structures and generally employ proprietary protocols to gather useful information about the physical world. This diversity generates problems to interact with these sensors since custom APIs are needed which are tedious, error prone and have steep learning curve. In this thesis, I present RESThing, a lightweight REST framework for wireless sensor networks to ease the process of interacting with these sensors by making them accessible over the Web. I evaluate the system and show that it is feasible to support widely used and standard Web protocols in wireless sensor networks. Being able to integrate these tiny devices seamlessly into the global information medium, we can achieve the Web of Things.
Cable bolt support technology in north America. Information circular/1994

Cable bolt supports are becoming an important ground control technique in underground mines in the United States and Canada. They show great versatility and are adaptable for use with many mining techniques, they have high load-carrying capacities, they can be installed in small areas with low roofs, and they are cost effective. Investigators in a number of research institutes in North America have conducted studies to assess the material and support properties of cable bolts, evaluate their support capabilities under various mining conditions, and provide design criteria for using cable bolt supports as roof control systems under varying mining conditions. While conducting these studies, personnel have collected important information on the history, application, performance, and economics of these supports. This Information Circular (IC) documents this information so that ground control personnel unfamiliar with cable bolt supports can gain an understanding and appreciation of their use. A comprehensive bibliography of technical information on cable bolt supports was selected by the authors and is also presented.
In Silico Identification of the Potential Natural Inhibitors of SARS-CoV-2 Guanine-N7 Methyltransferase.

The outbreak of the COVID-19 pandemic caused by the SARS-CoV-2 has triggered intense scientific research into the possible therapeutic strategies that can combat the ravaging disease. One of such strategies is the inhibition of an important enzyme that affects an important physiological process of the virus. The enzyme, Guanine 7 Methyltransferase is responsible for the capping of the SARS-CoV-2 mRNA to conceal it from the host’s cellular defense. The study aims at computationally identifying the potential natural inhibitors of the SARS-CoV-2 GuanineN7 methyltransferase binding at the active site (Pocket 41). A library of small molecules was obtained from edible African plants and were molecularly docked against the SARS-CoV-2 Guanine-N7 methyltransferase (QHD43415_13. pdb) using the Pyrx software. Sinefungin, an approved antiviral drug which had a binding score of -7.6 kcal/ mol with the target was chosen as a standard. Using the molecular descriptors of the compounds, a virtual screening for oral availability was performed using the Pubchem and SWISSADME web tools. The online servers PKCSM and Molinspiration were used for further screening for pharmacokinetic properties and bioactivity respectively. The molecular dynamic simulation and analyses of the Apo and Holo proteins was performed using the GROMACS software on the Galaxy webserver. The lead compounds are Crinamidine, Marmesin and Sinensetin which are obtained from waterleaf, mango, and orange plants respectively. All the lead compounds performed better than the standard. Crinamidine is predicted to show the greatest inhibitory activity. Further tests are required to further investigate the inhibitory activities of the lead compounds.
Directional Decremental Abundance of (GA)9 and (GA)11 Blocks in Primate Speciation

Background: Recent evidence indicates that expansion of a number of short tandem repeats (STRs) may be a result of natural selection. The human neuron-specific genes, RIT2 and GPM6B, contain two of the longest GA-STRs at 11 and 9-repeats, respectively, the length ranges of which are functional, and exceedingly rare repeats at the extreme end of those STRs occur with major human disorders. To examine the evolutionary trend of (GA)11 and (GA)9 blocks, two sets of chromosomal regions (each spanning 10 Mb of genomic DNA) across all chromosomes, were searched for those blocks across rodent and primate orders. We also sequenced the RIT2 and GPM6B STRs in 600 human subjects, consisting of late-onset neurocognitive disorder (n=200), multiple sclerosis (n=100), and controls (n=200). Results: We detected a directional decremental abundance of (GA)11 and (GA)9 blocks, matching the phylogenetic distance of the selected species as follows: mouse>macaque>great apes (p=0.000006). The RIT2 and GPM6B GA-repeats were at strict lengths of 11 and 9-repeats in human, respectively, and were predominantly human-specific in formula. Exception included a 9/11 genotype of the RIT2 GA-STR in an isolate case of multiple sclerosis. Conclusion: We report the first evidence of massive directional trend of STRs linking to speciation. Genes such as RIT2 and GPM6B may be suitable candidates to explore the evolutionary impact of STR blocks.
Optimization with ADAM and RMSprop in Convolution neural Network (CNN): A Case study for Telugu Handwritten Characters

Handwritten character recognition is the prime and challenging research area in the area of image processing. This recognition can be defined as the ability of a computer to take the input as handwritten input from various primary sources like paper documents, photographs, touch screens and other devices which are both online and offline. Although a large extent of work has been done in many languages to name a few English and Asian languages such as Japanese, Chinese etc. for handwriting recognition and less amount of work was done on Indian languages like Hindi, Tamil, Telugu, and Kannada etc . This paper explains the methodology for telugu handwritten character recognition algorithm using two optimizers namely Adaptive Moment Estimation (ADAM) and Root Mean Square Propagation (RMSprop) implemented in Convolution neural network (CNN) which has high recognition, accuracy and minimum training and classification time. CNN is dynamic tool to overcome the limitations which had come across in the basic machine learning approaches. To construct the proposed model, we have built our own data set for telugu character (Ka) taking its gunintham as different samples of input. It is observed that RMSprop optimizer outperforms with 89% accuracy compared with ADAM optimizer.
A Neural Network Model of Auditory Scene Anaysis and Source Segregation

Air Force Office of Scientific Research (F49620-92-J-0225, F49620-92-J-0225); National Science Foundation (IRI-90-00530); Office of Naval Research (N00014-92-J-4015); British Petroleum (89A-1204)
All-fiber frequency comb employing a single walled carbon nanotube saturable absorber for optical frequency metrology in near infrared

Optical frequency combs produced by mode-locked fiber lasers are us eful tools for high precision frequency metrology and molecular spectroscopy in a robust and portable format. We have specifically investigated erbium doped fiber mode-locked lasers that use single-walled carbon nanotubes as a saturable absorber. We have, for the first time, developed and phasestabilized a carbon nanotube fiber laser (CNFL) frequency comb. The carbon nanotube saturable absorber, which was fabricated using an optically driven deposition method, permits a high repetition frequency (>150 MHz) since an optical nonlinearity of fibers is not used for modelocking. The CNFL comb combined with a parabolic pulse erbium doped fiber amplifier (EDFA) has shown a compact, robust, and cost-effective supercontinuum source. The amplified pulse from the parabolic pulse EDFA was compressed with a hollow-core photonic bandgap fiber, which produced a wave-breaking-free pulse with an all-fiber set-up. The stabilized comb has demonstrated a fractional instability of 1.2 ×10 -11 at 1 sec averaging time, the reference-limited instability. We have performed optical frequency metrology with the CNFL comb and have measured an optical frequency, P(13) which is a molecular overtone transition of C2H2. The measured frequency has shown a good agreement with the known value within an uncertainty of 10 kHz. In order to extend the application of the CNFL comb such as multi-heterodyne dual comb spectroscopy, we have investigated the noise of the CNFL comb and particularly, the broad carrier envelope offset frequency (f0) linewidth of the CNFL comb. The primary noise source is shown to be white amplitude noise on the oscillator pump laser combined with the sensitivity of the mode-locked laser to pump power fluctuations. The control bandwidth of f0 was limited by the response dynamics of the CNFL comb. The significant reduction of comb noise has been observed by implementing a phase-lead compensation to extend control bandwidth of the comb and by reducing the pump relative intensity noise simultaneously. Therefore the f0 linewidth has been narrower from 850 kHz to 220 kHz. The integrated phase noise for the f0 lock is 1.6 radians from 100 Hz to 102 kHz. ALL-FIBER FREQUENCY COMB EMPLOYING A SINGLE WALLED CARBON NANOTUBE SATURABLE ABSORBER FOR OPTICAL FREQUENCY METROLOGY IN NEAR INFRARED