Miracle-dz/UniFAR-FTUs huggingface dataset:
A DETAILED REVIEW ON FINGERPRINT DOOR LOCK SYSTEM

Passwords and Tokens are extremely vulnerable and are easily stolen or lost. A poor password is one of the most common causes of security and data breaches. Hacker attacks target even the strongest passwords. Resetting the password takes a long time and can cause the employee to lose productivity. Biometrics can be used to solve the problem. It is the method of recognizing or confirming individuals based on physiological or behavioral features such as the iris, fingerprints, facial pattern, DNA, speech patterns, and so on. The concept of distinguishing individuals based on their fingerprints goes back thousands of years. It first became famous in the 1970’s. The detection and authentication of fingerprints is the method of fingerprint identification. Fingerprint identification is the most commonly used biometric. This research paper explains the main characteristics of fingerprints and how the Automatic Minutiae Detection process works, as well as comparing 2D and 3D fingerprint recognition
Research on Control Routing Technology in Communication Network

In communication network, WDM optical backbone network has become the primary long-distance options. In this paper, the structure of WDM optical networks are analyzed, the add-drop system in the architecture of WDM optical networks is discussed. In order to improve network efficiency, we analyzed the characteristics of network routing, and proposed a new routing design method. In communication network, a good routing is very important for network operation. Routing technologies manage the flow of data between network segments in optical communication network. In addition, we also discussed the WDM optical network switching technology.
FACTS Modeling and Simulation in Power Networks

This paper presents the mathematical steady-state modeling of Static Synchronous Compensator, which is the most widely used member of Flexible Alternating Current Transmission Systems. STATCOM Power Injection Model, derived from one voltage source representation, is presented and analyzed in detailed. A program, Flexible Alternating Current Transmission Systems Power Flow in MATLAB has been developed which extends conventional Newton-Rap son algorithm based on the Power Injection Model . The STATCOM PIM and Current Injection Model implemented in Power System Analysis Toolbox are incorporated in a 5-bus system. The results obtained from simulation of the 5-bus using FACTSPF are matched with those of PSAT in acceptable tolerance and thus confirms the robustness of the PIM. Flexible AC transmission system controllers are power electronics based controllers. With the applications of FACTS technology, bus voltage magnitude and power flow along the transmission lines can be more flexibly controlled. Among the FACTS controllers, the most advanced type is the controller that employs Voltage Sourced Converter as synchronous sources (1). Representative of the VSC type FACTS controllers are the Static Synchronous Compensator, which is a shunt type controller, the Static Series Compensator, which is a series type controller and the Unified Power Flow Controller, a combined series-shunt type controller (4). Of all the VSC the most widely used is the STATCOM. It can provide bus voltage magnitude control. Computation and control of power flow for power systems embedded with STATCOM appear to be fundamental for power system analysis and planning purposes. Power flow studies incorporating STATCOM requires accurate model in solution algorithms. The PIM models the STATCOM as shunt voltage source behind an equivalent reactance or impedance, which is also referred to as voltage source model. This steady state power injection model of STATCOM has proved reliable when incorporated in power systems and is well documented. The use of this STATCOM in power system simulators has therefore increased over the last one decade and is therefore adopted implementation in this work with the voltage expressed in rectangular coordinate.
Use of Real‐World Evidence to Drive Drug Development Strategy and Inform Clinical Trial Design

Interest in real‐world data (RWD) and real‐world evidence (RWE) to expedite and enrich the development of new biopharmaceutical products has proliferated in recent years, spurred by the 21st Century Cures Act in the United States and similar policy efforts in other countries, willingness by regulators to consider RWE in their decisions, demands from third‐party payers, and growing concerns about the limitations of traditional clinical trials. Although much of the recent literature on RWE has focused on potential regulatory uses (e.g., product approvals in oncology or rare diseases based on single‐arm trials with external control arms), this article reviews how biopharmaceutical companies can leverage RWE to inform internal decisions made throughout the product development process. Specifically, this article will review use of RWD to guide pipeline and portfolio strategy; use of novel sources of RWD to inform product development, use of RWD to inform clinical development, use of advanced analytics to harness “big” RWD, and considerations when using RWD to inform internal decisions. Topics discussed will include the use of molecular, clinicogenomic, medical imaging, radiomic, and patient‐derived xenograft data to augment traditional sources of RWE, the use of RWD to inform clinical trial eligibility criteria, enrich trial population based on predicted response, select endpoints, estimate sample size, understand disease progression, and enhance diversity of participants, the growing use of data tokenization and advanced analytical techniques based on artificial intelligence in RWE, as well as the importance of data quality and methodological transparency in RWE.
Investigations of SiC merged pin Schottky diodes under isothermal and non‐isothermal conditions

The paper concerns the problem of SPICE modeling of the merged pin Schottky (MPS) diodes. In the paper, the SPICE electrothermal model (ETM) of the SiC MPS diodes proposed by Infineon Technologies is investigated. The model was verified experimentally by comparing the calculated and the measured d.c. characteristics of the diode IDT06S60C. Some modifications of the model resulting in the improvement of its accuracy at d.c. analysis are proposed. Copyright © 2010 John Wiley & Sons, Ltd.
Product Specification Practices and Problems

The technical product specifications of construction contracts and the associated submittal review processes are shown to be involved in a major portion of all serious project disputes. A large number of actual publicly‐funded water and wastewater treatment facility building projects were examined with subsequent analysis of those reviews indicating that these disputes are detrimental in terms of additional project cost, schedule delays, and overall project disruption and loss of goodwill. In particular, the proprietary “brand name or equal” product specification method is seen to be commonly at the heart of these product disputes. Several different solution strategies were expressed as statistical hypotheses and tested for effectiveness. Among other propositions, the managerial strategies of required bid listing of proposed products, timely dispute resolution, and clarifying the submittal review process proved to be realistic and effective tools for reducing both the incidence and severity of product‐rel.
Defining, Developing and Measuring Agility

Abernethy et al., 2 suggested that more skilled athletes produce quicker and more accurate responses because of their ability to pick up anticipatory cues, especially the posture or kinematics of an opponent (eg the angle of the hips, the lower legs and the chest). Specifically, studies show that high level soccer players have superior visual search strategies. 4, 10, 11, 14 For example, Williams and Davids14 showed that elite soccer players scan their environment before utilising longer ocular fixation durations to task .
The Translational Learning EcoSystem

Aim/Purpose: In this paper we propose an ecosystem for translational learning that combines core learning principles with a multilevel construct that embraces the tenets of translational research, namely, teaming, translating, and implementing. The goal of the paper is to argue that knowledge of learning sciences is essential at the individual, team, and organizational levels in the translational science enterprise. Background: The two decades that we can now call the translational era of health and medicine have not been without challenges. Many inroads have been made in navigating how scientific teaming, translating knowledge across the health spectrum, and implementing change to our health systems, policies, and interventions can serve our changing global environment. These changes to the traditional health science enterprise require new ways of understanding knowledge, forging relationships, and managing this new tradition of science. Competency requirements that have become important to the enterprise are dependent on a deep understanding about how people learn as individuals, in teams, and within organizations and systems. Methodology: An individual, team, and organizational conceptual framework for learning in translational ecosystems is developed drawing on the learning science literature, a synthesis of 9 key learning principles and integrated with core competencies for translational science. Contribution: The translational learning ecosystem is a means by which to understand how translational science competencies can be reinforced by core learning principles as teaming, translating, and implementation intersect as part of the translational science enterprise. Findings: This paper connects learning science to tailored principles in a simplified way so that those working translational science with less knowledge of theories of learning and pedagogy may be able to access it in a clear and concise way. Recommendation for Researchers: This paper provides a framework for researchers who engage in the education of translational scientists as well as those who are charged with training new scientists in an emerging field critical to health and medicine. Future Research: The translational ecosystem described can serve to expand how teaching and learning impact scientific advances. In addition, it serves as a means in which to understand the impact of learning on micro, meso, and macro levels.
Pilot Test of a Definitive Prosthetic Socket Made with 3D Printing Technology

ABSTRACT Introduction Additive manufacturing (also known as 3D printing) as a fabrication method is ideally suited to merging the organic shapes of human anatomy with engineered components. Many early adopters are exploring the application of these technologies for the fabrication of 3D-printed sockets, but questions remain regarding the ability to fabricate strong, well-fitting definitive sockets. The goal of the present study was to examine the real-world effect of using 3D-printed sockets with regards to mobility, comfort, balance confidence, and user acceptance. Materials and Methods Nine veterans with transtibial amputations participated in the study, three each using pin, sealing sleeve, or seal-in liner for suspension. Participants had their conventional definitive socket duplicated using 3D printing. When the 3D-printed socket was ready, using their conventional socket, participants performed a 2-minute walk test, followed by socket comfort score and rating of perceived exertion (10-point scale), Prosthetic Limb Users Survey of Mobility, Activities-Specific Balance Confidence, select subscales of the Prosthesis Evaluation Questionnaire, and the Amputee Body Image Scale–Revised. After completing the baseline data, participants were fitted with the 3D-printed socket and, after using it for 2 weeks, we repeated the data collection. Results Three participants were not able to complete the study. No large differences were observed for any of the measures. Participants were generally satisfied with the fit of the 3D-printed sockets, but there were challenges with getting the 3D-printed sockets to support elevated vacuum with the sealing sleeve and seal-in liner suspension methods. Conclusions No differences in performance or user acceptance were identified for pin suspension, but the 3D-printed sockets were not able to reliably support suction or elevated vacuum; further development will be needed before they are ready for clinical application. Clinical Relevance The present study has demonstrated the ability to achieve satisfactory fit and outcomes using 3D printing to fabricate definitive prosthetic sockets, but the printing method was unable to deliver consistent air-tight sealing for suction or elevated vacuum suspension. Other 3D printing methods and some secondary processing steps may be able to correct this deficiency.
Experimental validation of integrated steering and braking model predictive control

We present and discuss an in-vehicle experimental validation of an integrated steering and braking Model Predictive Control (MPC) algorithm. The experimental results are obtained in autonomous path following tests, where the vehicle autonomously performs a double-lane change manoeuvre by simultaneously coordinating the front steering and the braking torques at the four wheels. The manoeuvres are performed at high speed on slippery surfaces to operate close to the vehicle stability limits. Experimental tests of double-lane change manoeuvres at 70 kph are shown and complex countersteering manoeuvres are presented and discussed.
Keratinocyte differentiation antigen-specific T cells in immune checkpoint inhibitor-treated NSCLC patients are associated with improved survival

ABSTRACT Immune checkpoint inhibitors (ICIs) have improved the survival of patients with non-small cell lung cancer (NSCLC) by reinvigorating tumor-specific T cell responses. However, the specificity of such T cells and the human leukocyte antigen (HLA)-associated epitopes recognized, remain elusive. In this study, we identified NSCLC T cell epitopes of recently described NSCLC-associated antigens, termed keratinocyte differentiation antigens. Epitopes of these antigens were presented by HLA-A 03:01 and HLA-C 04:01 and were associated with responses to ICI therapy. Patients with CD8+ T cell responses to these epitopes had improved overall and progression-free survival. T cells specific for such epitopes could eliminate HLA class I-matched NSCLC cells ex vivo and were enriched in patient lung tumors. The identification of novel lung cancer HLA-associated epitopes that correlate with improved ICI-dependent treatment outcomes suggests that keratinocyte-specific proteins are important tumor-associated antigens in NSCLC. These findings improve our understanding of the mechanisms of ICI therapy and may help support the development of vaccination strategies to improve ICI-based treatment of these tumors.
Design and development of MIMO antenna for point-to-point application

A Multiple-Input-Multiple-Output (MIMO) Microstrip Patch Antenna 4 ports has been designed and implemented. The proposed antenna consists of four ports and a four Array Microstrip Patch Antenna ground plane extruded on the substrate. The overall size of the proposed substrate is 220 × 220 ? 2. The antenna is fabricated on an inexpensive FR4 a dielectric constant ofer = 4.5, loss tangent of tan d=0.019, with thickness of substrate that is 1.6-mm and the thickness of patch is 0.035 mm. The measured results represents that the proposed antenna obtained a reasonable bandwidth from 2.4 GHz that could cover point-topoint application defined by 10-dB return loss. Furthermore, The S-Parameters of antenna are simulated and measured. In this project, design structure of the MIMO antenna four ports and substrate has been employed to broaden the bandwidth. Since MIMO antenna, high gain and directivity can be achieved. Simulation by using CST microwave studio program and measurement on the final prototype antenna were carried out and compared. A MIMO system characteristic evaluation of a four port MIMO antenna operating at 2.4GHz is performed. A four port antenna operating in point-to-point applications is designed, the antenna shows good pattern diversity low correlation coefficient.
Matrix Approach to Land Carbon Cycle Modeling

Land ecosystems contribute to climate change mitigation by taking up approximately 30% of anthropogenically emitted carbon. However, estimates of the amount and distribution of carbon uptake across the world's ecosystems or biomes display great uncertainty. The latter hinders a full understanding of the mechanisms and drivers of land carbon uptake, and predictions of the future fate of the land carbon sink. The latter is needed as evidence to inform climate mitigation strategies such as afforestation schemes. To advance land carbon cycle modeling, we have developed a matrix approach. Land carbon cycle models use carbon balance equations to represent carbon exchanges among pools. Our approach organizes this set of equations into a single matrix equation without altering any processes of the original model. The matrix equation enables the development of a theoretical framework for understanding the general, transient behavior of the land carbon cycle. While carbon input and residence time are used to quantify carbon storage capacity at steady state, a third quantity, carbon storage potential, integrates fluxes with time to define dynamic disequilibrium of the carbon cycle under global change. The matrix approach can help address critical contemporary issues in modeling, including pinpointing sources of model uncertainty and accelerating spin‐up of land carbon cycle models by tens of times. The accelerated spin‐up liberates models from the computational burden that hinders comprehensive parameter sensitivity analysis and assimilation of observational data to improve model accuracy. Such computational efficiency offered by the matrix approach enables substantial improvement of model predictions using ever‐increasing data availability. Overall, the matrix approach offers a step change forward for understanding and modeling the land carbon cycle.
Comparison of Surface to Indwelling Extrinsic Finger Muscle EMG during use of Computer Pointing Devices

Differences between indwelling and surface electromyography (EMG) were quantified by simultaneously recording extrinsic muscle activity of the index finger (flexor digitorum superficialis (FDS), flexor digitorum profundus (FDP), extensor indicis proprius (EIP), and extensor digitorum communis (EDC)) in a laboratory-based study. Eleven subjects performed computer-related pointing and dragging tasks using a mouse, pen and tablet, touchpad, and trackball. Surface electrodes poorly estimated FDP activity as demonstrated by low and variable cross-correlation values (0.47–0.64) and variable, high estimated error (RMS difference=11–46%MVC). Surface electrodes estimated FDS activity well (cross-correlation=0.79; RMS difference=11%MVC) when hand and forearm posture changes were minimized. Differences in forearm supination and pronation reduced the quality of FDS muscle activity estimation. Surface electrodes estimated EIP and EDC activity well with high cross-correlation values (0.77–0.84) and low RMS differences (8–12%MVC). Surface EMG can be used to assess EIP and EDC activity, and FDS activity when posture changes are minimized, during pointing device tasks. Surface EMG does not accurately assess FDP activity.
Efficiency of Agricultural Wastes for the Removal of Gasoline from Water

In this work, we report polyurethane foam, sunflower husk and rice husk ash prepared via a thermal treatment process used as oil sorbents for oil spill cleanup. The oil sorbent was studied on the basis of microstructure and morphology using optical digital microscopy and scanning electron microscopy (SEM). The results of the SEM and optical microscopy studies strongly indicate that thermal treatment is a suitable method to improve structure of husk particles regarding porosity compared to virgin samples. The dependence of the sorption capacity of the sorbents on the amount of sorbent, sorption time and the thickness of the oil film, as well as the number of cycles of the sorbents were investigated.
Improved CMOS continuous programmable divider

A programmable divider with improved prescaler structure is presented. On the basis of the timing-requirement of the trigger, the logic structure of the dual-modulus 16/17 prescaler is analysed and optimised carefully. For which synchronism divider is positive edge-triggered, asynchronous divider is negative edge-triggered and a three-input NAND gate is used for controlling feedback logic. It helps to improve the speed of the prescaler about three times as much as the conventional structure using the same modules. It is fabricated in 0.25 μm standard CMOS process. The measured results show that the chip can work well with 80 to 900 MHz VCO output, achieving frequency dividing from 256 to 32767, and current dissipation of the full divider is 4.2 mA with 3.3 V supply, of which the dual-modulus prescaler is only 1.1 mA.
UNA PROPUESTA PARA EL ANÁLISIS MORFOLÓGICO DE VERBOS DEL ESPAÑOL A PROPOSAL FOR MORPHOLOGICAL ANALYSIS OF VERBS IN THE SPANISH LANGUAGE

The morphological analysis of verbs in the Spanish language is a difficult task due to the fact that they present special features. One of these features is related to the big amount of conjugation forms of a verb, and this fact makes difficult the automatic generation of these conjugations. Currently, there are proposals of verb analyzers, which make lemmatization and conjugation of verbs, but they still exhibit some problems. In this article, we propose a template-based morphological analyzer with the purpose of generalizing verb conjugations. The templates aim to make the conjugation and lemmatization processes without the need of independently saving all possible conjugation forms of a verb. The morphological analyzer was implemented in the programming language Python, to take advantage of the capabilities of this language for string manipulation.
Virtual Channel Management for IPTV using Channel Domain Systems

The CDS (Channel Domain System) logically extends channel allocation capability over limited channel resources. The CDS provides CPs with flexible channel mapping mechanisms for various IPTV applications. Examples of such applications include channel naming using phone numbers and company names. The advantage of the CDS is two folds; it reduces cost of channel management and also, it facilitates usability of virtual channel for commercial and personal purposes. Proposed CDS mechanisms have been successfully implemented and applied in building commercial IPTV services.
The Conceptualisation of Growth

Many different variables have been used to measure the firm's growth. Employment and sales are the two most used criteria within the literature on growth determinants. Most of the time, researchers do not provide any theoretical justification for using one or the other criterion and appear to use them interchangeably, as if they constituted equivalent representations of the same observable reality, that is, the firm's size. Using a sample of Belgian small and medium sized enterprises (SMEs), we have tested the interchangeability of these two criteria. Our results show that these two types of growth are determined by factors that are largely distinct. Organisational growth is thus shown to be a multifaceted phenomenon that cannot be reduced to a single dimension. This also means that growth cannot be measured through composite indicators, mixing different variables like sales or workforce, because they do not measure the same phenomenon. From a managerial point of view, this means that the resources that are mobilised and the strategies that are implemented by a firm should vary depending on whether it wishes to attain one or the other type of growth.