Miracle-dz/UniFAR-FTUs huggingface dataset:
A Practical Approach To Strength Training

"A Practical Approach to Strength Training" is a response to those seeking a safer, more efficient way to strength train. Matt Brzycki, Coordinator of Health Fitness, Strength and Conditioning Programs at Princeton University, examines all aspects of strength training - including specificity, high intensity training, explosive training and plyometrics, and offers advice on how to organize individual and group strength training programs. Featuring Nautilus, Universal Gym, free weight and manual resistance exercises, this revised edition also includes chapters designed for those teaching strength training courses at the high school and college levels. '"A Practical Approach to Strength Training" should be a staple for all coaches and athletes. This book deals with the facts and cuts through the myths and misconceptions of strength training' - John Dunn Strength Coach, San Diego Chargers. '"A Practical Approach to Strength Training" is an excellent book. (Its great value) is found on the chapters on how one actually applies the knowledge in the weight room. This is an extremely valuable book for practitioners in the strength training field' - Kim Wood Strength Coach Cincinnati Bengals. ' This book is easy to read, yet loaded with relevant information for any strength coach at any level. It contains all the fundamentals for building a safe, efficient strength training program and belongs on the shelves of anyone who's interested in fitness' - Shaun Brown, Strength and Conditioning Coach, University of Kentucky. 'In addition to providing sound information on sensible strength training, the text is presented in a very practical manner . and the emphasis on safety is obvious from start to finish. I am most impressed with the author's commitment to athletes and his willingness to take a stand on controversial subjects' - Dr. Wayne Wescott, National Fitness Advisor, YMCA of the USA. 'Great reading for any teacher or coach. This book provides the most up-to-date conditioning information available' - Dan Riley, Strength Coach, Washington Redskins.
The Pilotless Air Force? A Look at Replacing Human Operators with Advanced Technology

Abstract : Today, there are several concepts that are threatening Billy Mitchell's vision of airmen. New technology and operational concepts are threatening the existence of the human aircraft operator. Looming on the horizon are unmanned aerial vehicles, spaced based weapons, and information architectures. This research effort is limited in scope. It focuses specifically on the UAV issue and explores the possibility that airmen will be replaced by unmanned vehicles in the next twenty years. On the one hand, UAVs offer distinct advantages over manned aircraft. UAVs will save lives and money. UAVs are not constrained by the physiological limits of the human operator. In addition, they eliminate tough political situations that arise when airmen are shot down over unfriendly territory. On the other hand, even with advanced unmanned technology, airmen still provide the Air Force with the indispensable qualities of flexibility and adaptability. These qualities, fueled by initiative and experience, are absolutely necessary to deal with the friction inherent in war. Rapid advances in technology will produce man-in-the-loop and autonomous UAVs that will serve as force multipliers. Man-in-the-loop systems are vulnerable to communications jamming while autonomous systems do not provide the flexibility required or present a moral dilemma. Manned combat aircraft will be required to deal with uncertainty and chaos. UAVs will increase the requirements for highly trained airmen. The Air Force must exploit the advantages offered by the UAV. UAVs will play a significant role in future operations. However, as a warfighting institution, the Air Force must not forget the significant contribution of the human operator. The UAV is a force multiplier and nothing more. This technology will augment, not replace, the human operator. Airmen are critical to the functioning of the Air Force and they will continue to be well into the next century.
NCI Thesaurus

The National Cancer Institute (NCI) reference terminology and ontology. NCI Thesaurus (NCIt) provides controlled terminology for clinical care, translational and basic research, public dissemination of information and associated administrative activities. NCIt is updated monthly to support precise coding of data based on the most recent developments in the cancer and biomedical research community. NCIt has rich textual and formal logic descriptions of biomedical concepts, including full text definitions, synonyms, a true is_a taxonomic structure, polyhierarchy, inferred partonomy, and other features that make it suitable for supporting accurate human understanding and complex computer processing. NCIt has been produced by NCI Enterprise Vocabulary Services (EVS) since 1997, and adopted since then for use by numerous federal agencies, standards development and research organizations.
Classification of genes using clustering of chromatin state segmentations in human epigenomes

Combinatorial patterns of chromatin marks have been shown to play a significant role in gene regulation activities by changing the landscape of the DNA through chemical means. Recent work has expanded on this observation using ChIP-seq signals of chromatin marks and supervised algorithms to build gene expression prediction models based on correlation analysis. However, no approach to date has attempted to use chromatin states to identify various classes of genes outside of the high-low expression classes. This research aims to fill this void by utilizing chromatin state segmentation and RNA-seq expression datasets from the NIH Roadmap Epigenomes project. A gene classification model was built using a k-fuzzy clustering approach of chromatin state features from a subset of training genes and then applied to a larger test set of genes. The models were found to be robust and show striking correspondence between training and test sets. 8 classes of genes that represent silent, repressed, and subsets of actively transcribed genes were identified and several metrics to validate the classes were computed. The systematic analysis outlined in this research is shown to a be promising approach for gene classification and future de novo discovery of gene like regions. Thesis Supervisor: Manolis Kellis Title: Associate Professor
Impact of Pre-diabetes alone or in combination with Hypertension, Dyslipidemia, or both on Major Adverse Cardiovascular Events

Background Whether pre-diabetes in the absence of hypertension (HTN) or dyslipidemia (DLP) is a risk factor for occurrence of major adverse cardiovascular events (MACE) is not fully established. We investigated the effect of impaired fasting glucose (IFG) alone and in combination with HTN, DLP or both on subsequent occurrence of MACE as well as individual MACE components. Methods This longitudinal population-based study included 9,831 inhabitants of Northeastern Iran. The participants were free of any cardiovascular disease at baseline and were followed yearly from 2010 to 2017. Cox proportional hazard models were fitted to measure the hazard of IFG alone or in combination with HTN and DLP on occurrence of MACE as the primary endpoint. Results 297 MACE were recorded during 6.2±0.1 years follow up. IFG alone compared to normal fasting glucose (NFG) was not associated with increased in occurrence of MACE (HR, 1.05; 95% CI, 0.59-1.86; p, 0.8). However, combination of IFG and HTN (HR, 2.75; 95% CI, 1.93-3.90; p, 0.001) or HTN + DLP (HR, 2.85; 95% CI, 1.79-4.54; p, 0.001) significantly increased the hazard of MACE. In contrast, IFG with DLP at baseline did not increase the hazard of MACE compared to normoglycemic- normolipemic individuals (p,0.2). The results also indicated IFG with HTN, DLP, or HTN+DLP were associated with significant higher HRs for some individual components of MACE. Conclusion IFG, per se, does not appear to increase hazard of MACE. However, IFG with HTN or HTN + DLP conferred a significant hazard for MACE in an incremental manner.
(AlGa)As/(InGa)As strained-quantum-well FETs on silicon dioxide by selective device lift-off as an alternative to heteroepitaxy

The authors have successfully applied a selective lift-off technique, originally developed for minimally strained (AlGa)As/GaAs films, to transfer 1- mu m-gate-length depletion-mode (AlGa)As/(InGa)As strained-quantum-well field-effect transistors (FETs) from GaAs substrates to glass slides. Peak transconductance of the transistors was unchanged by the transfer. As an alternative to heteroepitaxial growth, this technique provides improved flexibility for the realization of complex hybrid electronic or optoelectronic systems. <<ETX>>
Performance Optimization of GCC-PHAT for Delay and Polarity Correction under Real World Conditions

When coherent audio streams are summed, delays can cause comb filtering and polarity inversion can result in cancellation. The GCC-PHAT algorithm is a popular method for detecting (and hence correcting) the delay. This paper explores the performance of the Generalized Cross Correlation with Phase Transform (GCC-PHAT) for delay and polarity correction, under a variety of different conditions and parameter settings, and offers various optimizations for those conditions. In particular, we investigated the performance for moving sources, background noise, and reverberation. We consider the effect of varying the size of the Fourier Transform when performing GCC-PHAT. In addition to accuracy, computational efficiency and latency were also used as metrics of performance.
Investigation of the Effect of Using Activated Sludge Treated with Acetic Acid on Physical and Strength Properties of Recycled Pulp

This study aimed to scrutinize chemical treatment of Mazandaran Wood and Paper mill activated sludge with 3 % acetic acid for the manufacture of environmentally eco-friendly bio composite. In this study, the paper pulp required was obtained from the waste newsprint paper. The activated sludge was treated in a beaker for 3 min in 3 % acetic acid and then in a water bath at 75 and 100 °C for 45 and 90 min. After that, the treated activated sludge was mixed and refi ned with waste newsprint paper pulp at ratios of 0, 5, 10, 15 and 20 %. The test specimens were prepared according to TAPPI standard and the physical properties (water absorption and porosity) and mechanical (tensile strength, tear strength, ring crush test, burst strength and folding strength) were measured. The results showed that the activated sludge treatment caused the increase in tear strength, ring crush test, burst strength and porosity as well as the decrease in water absorption, tensile strength and folding strength. FT-IR spectrum of the treated samples showed that the treatment with acetic acid strengthened and activated the functional groups on the surface of activated sludge fi bers. The activated sludge added at a level of 5 % at 100 °C for 90 min as well as at a level of 20 % at 75 °C for 45 min was more suitable than other treatments.
Reducing Production Lead Time Through Value Stream Mapping

This research addresses the application of lean manufacturing concepts to the discrete production sector of a metal fabrication company in Malaysia. The goal of this research was to investigate the application of lean manufacturing tools to reduce production lead time for a dedicated product family. This study is applied to a small metal-based manufacturing company (referred to as ABC). Root-cause analysis based on behavioral and informational factors was developed for seven waste indicators to identify the waste in managerial-level stage. Value Stream Mapping (VSM) is prescribed as part of the lean production portfolio of tools and has been applied in a variety of industries to identify lean tools to try to eliminate the waste. VSM was used to first map the current state in order to realize the current production lead time and to identify sources of wastes at the worker-level stage. Then a future state map was developed using lean tools and techniques and answering the eight questions stated by Rother and Shook (1999). The future state map identifies the reduced production lead time based on lean concept. Two detailed simulation models using system modeling corporation’s Arena 7 package was developed. The current state simulation verifies the current production lead time from current state map and the future state simulation which was developed based on the future state map quantifies reduction of production lead time. It is concluded that using Value Stream Mapping (VSM), the production lead time of 200 units of ‘back plate indoor’ reduced from less than 15 days in current state map to less than 9 days in future state map. Also, the simulation shows that production lead time reduction to eight days could be accomplished at ABC if lean tools are utilized. Comparing the production lead time of eight days in simulated model and less than nine days in Value Stream Mapping (VSM) showed that VSM is a reliable tool for production schedule and estimating production lead time in lean production system.
School Gardening Activities have Profound Potential in Influencing the Knowledge, Attitude, Self-efficacy and Frequency of Fruit and Vegetable Intake by Late Adolescents

Back ground The dietary intake of fruits and vegetables by adolescents is influenced by self-efficacy, attitude and knowledge.This study was designed to understand the role of school gardens in influencing the frequency, attitudes, knowledge and self-efficacy of late in-school adolescents on their dietary intake of fruits and vegetables.Methods The study followed a cross-sectional study design employing quantitative research methods. The target population comprised of late adolescents 18-25 years attending the two-selected secondary school; one with gardening activities and another not. Self-administered structured questionnaire was used to collect data. Quantitative data was analyzed by t-test , Mann Whitney U test, Pearson Rank Correlation and odds ratio.Results Generally, there were low fruit (8 & 9) and vegetable (6 & 7) servings per week among the unexposed and the exposed groups respectively as compared to the USDA recommendation (14 and 11) servings per week for fruits and vegetables respectively. However, students exposed to gardening had slightly higher scores of fruits and vegetable frequency as compared to those not exposed (OR=1.0370). Students believed they consumed more fruits than vegetables with the exposed group consuming more fruits (p<0.0001) and vegetables (p<0.0001) than the control group. The students knew more nutritional value for fruit intake than for vegetable intake with the exposed group having higher knowledge scores than the control (OR=1.32). The students in the exposed group were more confident in consuming fruits and vegetables rather than a snack (p=0.008), ice cream (p=0.004), three times a day (p<0.0001) compared to the control group.Conclusion Overall, there was low fruit and vegetable intake by the study subjects. However, fruits were consumed more than the vegetables with the exposed group posting slightly higher weekly intake of fruits and vegetables than the control group. The students knew the nutritional value of fruits and vegetables attaching more importance on the fruits than vegetables with exposed group having better knowledge than the control. Although students in both groups were confident in consuming fruits and vegetables, the exposed group was more confident than the unexposed.
Development of Microcontroller Based Two Channel Colorimeter for the Analysis of Cobalt in Water

An automated colorimeter equipped with different colored light-emitting diodes (LED) and two photodiodes (PD) as light source and detector, respectively, was developed. The intensity of LED was controlled by software managed pulse width modulator. Separate LEDs were used for the sample and reference cells. The light from sample or reference cell was detected by photodiode. The detected signal was fed to a PIC microcontroller through signal conditioning circuit. Neither monochromator nor wavelength selective filter was necessary, because color-LED produces mono-colored light. The analog signal from photodiode was converted into digital signal by onchip multichannel analog to digital convertor. Absorbance of the sample solution was calculated relative to the reference one. Software program was written for the automatic determination of concentration of unknown species. The colorimeter was successfully used for the determination of concentration of cobalt in water. Keywordscolorimeter; light-emitting diode; photodiode; analog to digital convertor; cobalt.
Engineering RNA logic with synthetic splicing ribozymes

Reusable components, such as logic gates and code libraries, simplify the design and implementation of electronic circuits and computer programs. The engineering of biological systems would benefit also from reusable components. In this thesis, I show the utility of splicing ribozymes for the biological engineer. Ribozymes allow the engineer to manipulate existing biological systems and to program self-modifying RNA systems. In addition, splicing ribozymes are easy to engineer, malleable, modular, and scalable. I used the model ribozyme from Tetrahymena to explore the principles behind engineering biological splicing systems in vivo. I show that the core ribozyme is modular and functions properly in many different contexts. Simple base pairing rules and computational RNA folding can predict splicing efficiency in bacterial cells. To test our understanding of the ribozyme, I generated synthetic ribozymes by manipulating the primary sequence while maintaining the secondary structure. Results indicate that our biochemical understanding of the ribozyme is accurate enough to support engineering. Splicing ribozymes can form core components in an all-RNA logic system. I developed biological transzystors, switches analogous to electrical transistors. Transzystors can use any trans-RNA as input and any RNA as output, allowing the genetic reading of RNA levels. I also show the ribozyme can write RNA using the trans-splicing reaction. Trans-splicing provides an easy mechanism to hook into an existing biological system and patch its operation. The generality of these ribozymes for a wide set of applications makes them promising tools for synthetic biology.
mEI (Evolution Index-mature products) - Redefined for Pharmaceutical Business Analytics

The need for market assessment techniques and tools to analyse the product sales is increasing every day. Patents, along with gold standard therapies, play a critical role in the pharmaceutical industry in determining product sales. However, once genericized, the existence of multiple products for same molecule is a situation unique to the pharmaceutical industry.With the growing need for new methods of evaluations for mature products (Products with generic competition), the Evolution Index which is used to determine the performance of the product needs to be redefined and customised. Extrinsic factors like market dynamics influence company profitability and hence there is need for a heuristic approach to evaluate its performance. Considering the effect of competition on product performance in relation to market factors provides an optimized indicator to design an effective strategy.The newly constructed formula eliminates bias by incorporating molecule level growth and its influence on the overall portfolio of a company, especially for mature products.The new evolution index "mEI" serves the realistic picture of current market scenario and enables the companies to take a better decision based on existing competition.
Análise da recuperação física de solos degradados via Redes Neurais Artificiais por meio de uma interface gráfica

Técnicas adequadas de manejo do solo são fundamentais para manter o solo saudável e sem degradação. Quando isso, não é possível, esse solo deve ser recuperado, levando em conta os atributos do solo e o seu poder de regeneração, com isso, várias técnicas estão sendo utilizadas. Neste contexto, este trabalho tem por objetivo desenvolver um programa interativo (analisar e classificar) com a utilização das Redes Neurais Artificiais (RNA) para estimar os níveis de recuperação do solo (recuperado (R), parcialmente recuperado (PR) e não recuperado (NR) em função dos atributos físicos. O experimento foi realizado na Agência Paulista de Tecnologias dos Agronegócios – APTA do Extremo Oeste, em Andradina/SP no período de 2015 a 2017, em solo classificado como Argissolo Vermelho Amarelo cultivado com pastagem de Urochloa, com diferentes formas de introdução de Estilosantes cv. Campo Grande. Os atributos do solo estudados foram: densidade do solo, porosidade do solo, resistência mecânica a penetração, infiltração de água no solo e diâmetro médio ponderado, nas camadas do solo: 0-10; 0,10-0,20 e 0,20-0,40 m. O programa foi desenvolvido no ambiente MATLAB e a simulação foi realizada por meio de uma interface gráfica. A RNA que foi utilizada neste trabalho foi a Perceptron multicamadas (MLP). Verificou-se que a rede alcançou um treinamento adequado, com erro quadrado médio baixo, podendo gerar uma alternativa interessante e automática para a classificação e análise de solos em recuperação. Os resultados foram imprimidos em uma interface gráfica autoexplicativa, com gráficos e metadados dos índices físicos e suas classificações quanto à RNA.
Corporate-fed 2/spl times/2 planar microstrip patch sub-array for the 35 GHz band

A classical configuration of a planar array of microstrip rectangular patches, fed by a corporate-feed arrangement, is widely used for many applications. There are several reports devoted to the design of such antennas. However, they are based on semi-empirical approaches, especially at mm-wave frequencies. A good choice of an array-feeding-network layout is a cornerstone problem for the antenna's design. The purpose of this report is to give a description of a 2/spl times/2 element planar microstrip-patch sub-array, which can be used as a basis configuration for design of large, high-gain arrays, for the 35 GHz band.
Beyond Consensus: Improving Collaborative Planning and Management

Collaborative approaches are increasingly common across a range of governance and policy areas. Single-issue, single-organization solutions often prove ineffective for complex, contentious, and diffuse problems. Collaborative efforts allow cross-jurisdictional governance and policy, involving groups that may operate on different decision-making levels. In Beyond Consensus, Richard Margerum examines the full range of collaborative enterprises in natural resource management, urban planning, and environmental policy. He explains the pros and cons of collaborative approaches, develops methods to test their effectiveness, and identifies ways to improve their implementation and results. Drawing on extensive case studies of collaborations in the United States and Australia, Margerum shows that collaboration is not just about developing a strategy but also about creating and sustaining arrangements that can support collaborative implementation. Margerum outlines a typology of collaborative efforts and a typology of networks to support implementation. He uses these typologies to explain the factors that are likely to make collaborations successful and examines the implications for participants. The rich case studies in Beyond Consensus -- which range from watershed management to transportation planning, and include both successes and failures -- offer lessons in collaboration that make the book ideal for classroom use. It is also designed to help practitioners evaluate and improve collaborative efforts at any phase. The book's theoretical framework provides scholars with a means to assess the effectiveness of collaborations and explain their ability to achieve results.