Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectral Transformations for Digital Filters

A deep well pumping device including a vertically reciprocating pump piston supporting a pulley on a horizontal axis with a flexible band-like tension member anchored at one end, extending over the pulley and thence downwardly to connect to the polish rod in vertical alignment with said rod, the pumping apparatus being hydraulically reciprocated in a circuit including a pump and reversing valve with limit switches activated by the reciprocating member at its limits of movement to reverse the valve; and piston air pressure means surrounding the reciprocating member and connected thereto to cushion the return stroke thereof; the apparatus being mounted on a base and movable from an upright operative position to a horizontal collapsed position without affecting the relationship of the various operating parts.
Parenteral Quality Control: Sterility, Pyrogen, Particulate, and Package Integrity Testing

Sterility testing Pyrogen testing particulate matter testing package integrity testing example of standard operating procedure for sterility testing by direct inoculation example of standard operating procedure for sterility testing by membrane filtration example of methods used to clean, assemble, sterilize, and make final connections with membrane filtration equipment aseptic procedures at the laminar flow workbench comparison of various LAL methods proposed changes for the USP XXII section on particulate matter in injections.
Youth Work

This article focuses on the place of youth work which is presented as a distinctive form of practice with young people complementing other approaches such as schooling or social work. In summarising the place of young people in contemporary Britain, it notes the particular pressures of poverty and unemployment on their lives. The main features of the New Labour and subsequently the Coalition governments’ policies towards youth work are identified with particular reference to the consequences of recent austerity policies that have taken place from 2010 onwards. It offers suggestions on how youth work can be re-built.
Explorative Analysis and Data Mining in Big Neural Data

Most motor actions are carried out by many neurons acting together in different areas of the brain. Recently, techniques have been developed and increasingly used that allow simultaneous recordings of the activity from a large number of neurons over time ranges as long as several weeks. At Neuronano Research Center (NRC) at Lund University, neural activity in rodents has been recorded using chronically implanted 128-channel electrodes. The targets are within areas that play a prominent role in the planning, monitoring and execution of movements and, consequently, are strongly affected by motor diseases such as Parkinson’s disease. The experiments conducted at NRC naturally produces a large amount of neural data. This master thesis work aims to perform feature extraction from that data, i.e., find a way to mathematically describe the disease states of the rodents without a priori knowledge of the states. This is done by extracting features from the recordings, whose values later are used to analyse and cluster the data. The results show that a clear majority of the neurons exhibit a significant difference in feature values between the disease states. This means that it is possible to mathematically describe the different disease states. Moreover, the results show that different neurons behave differently: Some, e.g., exhibit increased activity going from one state to another, while others exhibit decreased activity. Adding to this, some does not exhibit any change while others exhibit a significant change. That it is possible to mathematically describe the different disease states, with a timescale of hours, indicate that the same may be possible for states with smaller timescales. These states, with a smaller timescale, do not have to be connected to Parkinson’s disease but could rather be normal, healthy states such as locomotion or reaching.
Brain Tumor Segmentation using Normalized Graph Cuts

Normalized graph cut algorithm is an efficient method where the technique of graph theory is adopted and in which the images are taken in the form of weighted graph in order to segment the images. This paper comprises of the fundamental concept of Normalized graph cut algorithm and its application towards the segmentation of Brain tumor. Identifying defects such as tumors is a very challenging because differentiating the components is difficult in a complex structure like a human brain. The diagnosis becomes even more complex because the tumor, blood clots and some part of the brain tissues appear as the same Brain tumor is generally detected and analyzed through a comprehensive analysis of the Magnetic Resonance Images of the brain. This technique gives a second opinion regarding the presence or absence of the brain tumor. This paper performs the study of Normalized graph cut algorithm and shows its efficiency in detecting tumors and compares it with other commonly used algorithms
A Research Instrument for the Measurement of Information Management and Technology Maturity in the UK National Health Service

The IMAGINE programme within the UK's National Health Service (NHS) was designed to raise the quality of information management and technology (IM&T) strategic thinking amongst participating units in what was the Trent Health Region. The national Facilitated Approach to Information Management (FAIM) initiative followed, with the intention of guiding the management team of individual NHS units in their development of their IM&T strategy. Each of these initiatives called for a means of measuring the maturity at unit level of both the IM&T endeavour and the extent of the strategic alignment between the business and IM&T strategies. This paper describes a research instrument that was developed in IMAGINE and used in FAIM to determine a unit's maturity in IM&T and IM&T strategic thinking. The research instrument is presented, together with a typical response document that summarises a unit's IM&T maturity.
If-then Planning in Sports: A Scoping Review

If-then planning (implementation intentions) describes a self-regulatory strategy that helps people to attain their goals across a variety of domains, such as achieving physical activity goals. Based on such beneficial effects, if-then plans are anecdotally discussed as a strategy to enhance sports-related performance as well. However, this discussion currently lacks an empirical basis. We therefore conducted a scoping review to identify experimental research on if-then planning effects on sports-related performance, potential moderators of these effects, the methodological approaches used, and the suitability of the available evidence for assessing the effectiveness of if-then planning in sports. Based on a search of four online databases, we identified a set of eleven studies that investigated if-then planning in experimental research with sports-related performance as outcome measure. Six of these studies focused on if-then planning in endurance tasks, the remaining studies investigated sports performance beyond endurance. The samples were often small and comprised university students, and conclusions regarding the effectiveness of if-then planning for improving sports-related performance were rather heterogeneous. Still, the majority of studies shed light on tentative mechanisms (e.g., perceptions of effort and pain, arousal) and moderators (e.g., athletes’ beliefs about their performance limits, feasibility of the behavior) of if-then planning in sports, guiding future research regarding the question of when and for whom if-then-planning might be a beneficial strategy. Based on these findings, we identify potentials and pitfalls when using if-then plans to enhance sports-related performance, discuss promising routes for future research, and derive practical implications for athletes and coaches.
Development of a product design and supply-chain fulfillment system for discontinuous innovation

Given the lengthy product development lifecycle process, high cost, and low success rate, many firms avoid considering discontinuous innovation strategies, in spite of their increase in frequency and importance in many markets. Even with advances in automation and technology, many of the techniques being utilised in product development are relatively unchanged, and the definition of discontinuous innovation itself lacks a structural component. To address this problem, the authors developed a methodology for generative customisation to implement discontinuous innovation. Using the emerging technologies of generative design and agent-based modelling, the authors developed a methodology to create product inventions and measure product innovations using a complex adaptive system (CAS) model. This appears to be the first model that represents a complex adaptive system environment to measure the success of discontinuous innovation in the development of a market equilibrium agent model.
Commentary: How to Inspect Fruit

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Finite element analysis of winding fault effects in a wound-rotor induction machine with experimental validation

Effective condition monitoring of remote wind turbine power plant induction generators is significantly gaining importance in modern wind industry. This paper uses a finite element time stepping transient model to investigate the influence of winding faults on the air-gap field distribution of a wound-rotor induction generator. The analysis shows that winding faults cause a severe air-gap field distortion, giving rise to field harmonic orders that would not otherwise be present in the air-gap, and links these to observed winding fault specific changes in the predicted and measured machine current spectrum. (6 pages)
Dynamic Simulation Studies of the Frequency Response of the Three U.S. Interconnections with Increased Wind Generation

Utility Systems Efficiencies, Inc. was tasked by Lawrence Berkeley National Laboratory (LBNL) to conduct dynamic simulation studies of the three U.S. interconnections (Eastern, Western, and Texas). The simulations were prepared in support of LBNL's project for the Federal Energy Regulatory Commission to study frequency-response-related issues that must be addressed to operate the power system reliably with large amounts of variable renewable generation. The objective of the simulation studies of each interconnection was to assess the effects of different amounts of wind generation on frequency behavior of each interconnection following a sudden loss of generation. The scenarios created to study these effects considered an operating circumstance in which system load is at or close to its minimum. The event studied was the sudden loss of the largest amount of generation recorded within each interconnection. The simulations calculated the impact of this event on interconnection frequency for three levels of wind generation. In addition to varying the amount of wind generation, the simulations varied the amount of operating reserves between a high level representative of current operating practices and a low level representative of the minimum required by present operating rules.
6-10 GHz ultra-wideband CMOS LNA

A two-stage matched ultra-wideband CMOS low noise amplifier (LNA) is presented. The LNA is designed to achieve a low noise figure with high voltage gain. The LNA fabricated in a 0.13 µm CMOS process shows a 3.9 dB average noise figure with a 27 dB voltage gain in the 6–10 GHz frequency band with a power consumption of 14 mW.
Hard coatings for woodworking tools – a review

Purpose: The paper presents thorough analysis of the state-of the-art in the field of woodworking tools durability improvement. In comparison with the achievements of global leaders in the field, the technologies developed so far at the Institute of Mechatronics, Nanotechnology and Vacuum Technique, as well as the latest research works undertaken by the authors are presented. Design/methodology/approach: The specificity of machining conditions of wood and wood-derivative materials consists in simultaneous occurrence of very high working speed, extremely sharp cutting edges and high working temperature – on the one hand, and high anisotropy and low thermal conductivity of the machined material – on the other. The paper summarizes various ways, including selection of both tool materials and surface treatments, applied in order to increase the productivity of woodmachining. Findings: A systematic analysis has been made on the type of tool materials suitable for machining of different sorts of solid wood and wood-derivative materials. It was shown that all woodworking tool types, except for satellites, require development of dedicated surface engineering technologies improving significantly their durability. The main features of CVD and PVD surface treatment technologies were compared in relation to their application for woodmachining tools. Research limitations/implications: Based on the achievements to date IMN&VT undertook a project aimed at development of a new generation of surface treatment technologies for both cemented carbide and high speed steel tools. It is planned to develop three packages of PVD technologies for deposition of multilayer and duplex anti-wear coatings based on TiAlN, CrN and carbon. Originality/value: The paper constitutes concise but in-depth description of the contemporary trends in surface treatment of tools for woodmachining.
Enhancing the Operational Effectiveness of the Ground-Based Operational Surveillance System (G-BOSS)

Abstract : The majority of casualties in the ongoing conflicts in Iraq and Afghanistan are due to improvised explosive devices (IEDs). To counter this threat, the Marine Corps directed that a persistent surveillance capability be identified and fielded as soon as possible. As a result, the development and fielding of the Ground Based Operational Surveillance System (G-BOSS) occurred rapidly. G-BOSS consists of a tower, multiple cameras, and a combat operations center (COC). Today, scores of these systems are in use. However, minimal guidance has been provided to operators on effective techniques, tactics, and procedures (TTPs). Furthermore, the benefits of adding additional sensors to G-BOSS and networking multiple systems are not clear. This research investigates these issues through the use of an agent-based simulation. Specifically, thousands of computational experiments utilizing a state-of-the-art experimental design, were run on a scenario based on concurrent live developmental tests at 29 Palms by the Marine Corps Operational Test and Evaluation Activity (MCOTEA). The experiments assessed the ability of the system to correctly classify objects (e.g., snipers, IED emplacement, and mortar teams, as well as neutrals and friendly forces) over a variety of enemy actions, G-BOSS configurations, and tactical choices. The results indicate that the most critical factor in determining the level of situational awareness provided by G-BOSS is, by far, placement of the towers. Moreover, little benefit is seen in coordinating the towers and COCs unless motion detection radars are used. With use of the motion detection radar, the synchronization of multiple systems dramatically enhances the overall performance of G-BOSS.
Invitro Study to Assess the Impact of Chelating Agents on Microhardness of Primary Radicular Dentin

Background: To evaluate the effect of two irrigating solutions on microhardness of radicular dentin of primary teeth. Methods: 10 buccolingual sections of roots of decoronated primary teeth were mounted in plaster, randomly divided into two groups of 5 specimens each according to the irrigant used: group1 (5.25% sodium hypochlorite with 17% EDTA) and group 2 (2-6% citric acid). Dentin microhardness was measured before and after irrigation at apical, middle, cervical levels of the roots with a Vickers indenter. Results: There was a statistically significant difference in the microhardness values of radicular dentine before and after irrigation with both the agents. More reduction was seen with Citirc acid as compared to EDTA with statistically significant difference (p=0.001). Conclusion: Chelating agent when used as irrigants bring about a significant reduction in microhardness of radicular dentine in primary teeth.
The role of non-coding RNAs

Most of the genome is transcribed into non-coding transcripts that far exceed in number the transcripts of protein-coding genes. These RNAs are subdivided into different classes. Long non-coding RNAs (lncRNAs) are at least 200 nucleotides in length and are transcribed from promoter, coding, intergenic or enhancer regions (eRNAs). These RNAs repress or enhance the transcription of target genes by facilitating the interaction between promoters and enhancers or by interacting with transcription factors and targeting histone-modifying enzymes. Short non-coding RNAs include a diverse group of functional types: miRNAs (micro RNAs) and siRNAs (small interfering RNAs) are negative regulators of gene expression; piRNAs (Piwi-interacting RNAs) suppress the action of transposable elements in the germline; snRNAs (small nuclear RNAs) are involved in mRNA splicing and rRNA maturation; tRNA-derived non-coding RNAs are involved in the cellular reaction to stress and in the repression of gene function. Additional short RNAs are rasiRNAs (repeat-associated small interfering RNAs) that appear to be involved in centromeric heterochromatin formation.
An Efficient Approach to Design Discrete Packaging of BidirectionalResonant Power Switch for Matrix Converter Applications

In this letter, the authors present an approach for designing discrete packaging of a bidirectional power switch used in matrix converter applications. The study is based on computing the magnetic field inside a specific resonant switching cell in order to incorporate low-voltage control circuits inside the compact space volume of the power module. The novelty of the proposed configuration is the creation of an oriented magnetic field area, which has very low impact on the low-level control signals of the power devices. Numerical analyses as well as experimental results are presented to demonstrate the validity of the proposed approach.
Rice Mapping Using a BiLSTM-Attention Model from Multitemporal Sentinel-1 Data

Timely and accurate rice distribution information is needed to ensure the sustainable development of food production and food security. With its unique advantages, synthetic aperture radar (SAR) can monitor the rice distribution in tropical and subtropical areas under any type of weather condition. This study proposes an accurate rice extraction and mapping framework that can solve the issues of low sample production efficiency and fragmented rice plots when prior information on rice distribution is insufficient. The experiment was carried out using multitemporal Sentinel-1A Data in Zhanjiang, China. First, the temporal characteristic map was used for the visualization of rice distribution to improve the efficiency of rice sample production. Second, rice classification was carried out based on the BiLSTM-Attention model, which focuses on learning the key information of rice and non-rice in the backscattering coefficient curve and gives different types of attention to rice and non-rice features. Finally, the rice classification results were optimized based on the high-precision global land cover classification map. The experimental results showed that the classification accuracy of the proposed framework on the test dataset was 0.9351, the kappa coefficient was 0.8703, and the extracted plots maintained good integrity. Compared with the statistical data, the consistency reached 94.6%. Therefore, the framework proposed in this study can be used to extract rice distribution information accurately and efficiently.
Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species

Success of large-scale control programs for established invasive species is challenging to evaluate because of spatial variability in expansion rates, management techniques, and the strength of management intensity. For a well-established invasive species in the spreading phase of invasion, a useful metric of impact is the magnitude by which control slows the rate of spatial spread. The prevention of spatial spreading likely results in substantial benefits in terms of ecosystem or economic damage that is prevented by an expanding invasive species. To understand how local management actions could impact the spatial spread of an established invasive species, we analyzed distribution and management data for feral swine across contiguous United States using occupancy analysis. We quantified changes in the rate of spatial expansion of feral swine and its relationship to local management actions. We found that after 4 yr of enhanced control, invasion probability decreased by 8% on average relative to pre-program rates. This decrease was as high as 15% on average in states with low-density populations of feral swine. The amount of decrease in invasion rate was attributed to removal intensity in neighboring counties and depended on the extent of neighboring counties with feral swine (spatial heterogeneity in local invasion pressure). Although we did not find a significant overall increase in the probability of elimination, increased elimination probability tended to occur in regions with low invasion pressure. Accounting for spatial heterogeneity in invasion pressure was important for quantifying management impacts (i.e., the relationship between management intensity and spatial spreading processes) because management impacts changed depending on the strength of invasion pressure from neighboring counties. Predicting reduction in spatial spread of an invasive species is an important first step in valuation of overall damage reduction for invasive species control programs by providing estimates of where a species may be, and thus which natural and agricultural resources would be affected, if the control program had not been operating. For minimizing losses from spatial expansion of an invasive species, our framework can be used for adaptive resource prioritization to areas where spatial expansion and underlying damage potential are concurrently highest.