Miracle-dz/UniFAR-FTUs huggingface dataset:
Measurement and modeling of a flexible manipulator for vibration control using five-segment S-curve motion

User designed manipulators are widely used in industry as a part of automation. The design of lighter robotic arms is required for less energy consumption. Joints, structural features, and payload affect the dynamic behavior of manipulators. Even if the arms have sufficient structural rigidity, joints, or payloads further increase their flexibility. These factors should be considered at the design stage. Flexibility causes vibrations, and these vibrations negatively affect robot repeatability and processing speed. Reducing the vibration levels of flexible manipulators is an attractive issue for engineers and researchers. Accurate estimation of the mathematical model of flexible manipulators increases the success of vibration control. In this paper, the modeling and experiments for vibration control of a single-axis flexible curved manipulator with payload are considered. The experimental system is introduced to collect vibration responses synchronously at the tip of the curved manipulator for angular velocity input. The mathematical model of the manipulator is estimated using the continuous-time system identification (CTSI) method with a black-box model based on the experimental input/output (I/O) signals. A five-segment S-curve motion input based on the modal parameters is designed to suppress residual vibrations. Vibration control is successfully performed for different deceleration times of the designed S-curve motion input. The results showed that the residual vibrations from experiments and predicted models matched well for different cases depending on payload, angular position, and motion time.
Rapid, Simple and Inexpensive Fabrication of Paper-Based Analytical Devices by Parafilm® Hot Pressing

Paper-based analytical devices have been substantially developed in recent decades. Many fabrication techniques for paper-based analytical devices have been demonstrated and reported. Herein, we report a relatively rapid, simple, and inexpensive method for fabricating paper-based analytical devices using parafilm hot pressing. We studied and optimized the effect of the key fabrication parameters, namely pressure, temperature, and pressing time. We discerned the optimal conditions, including a pressure of 3.8 MPa, temperature of 80 °C, and 3 min of pressing time, with the smallest hydrophobic barrier size (821 µm) being governed by laminate mask and parafilm dispersal from pressure and heat. Physical and biochemical properties were evaluated to substantiate the paper functionality for analytical devices. The wicking speed in the fabricated paper strips was slightly lower than that of non-processed paper, resulting from a reduced paper pore size after hot pressing. A colorimetric immunological assay was performed to demonstrate the protein binding capacity of the paper-based device after exposure to pressure and heat from the fabrication. Moreover, mixing in a two-dimensional paper-based device and flowing in a three-dimensional counterpart were thoroughly investigated, demonstrating that the paper devices from this fabrication process are potentially applicable as analytical devices for biomolecule detection. Fast, easy, and inexpensive parafilm hot press fabrication presents an opportunity for researchers to develop paper-based analytical devices in resource-limited environments.
Design and utilization of a fuzzy knowledge-based system for design feature recognition of freehand illustrations

This paper concentrates on a task support system for design feature recognition performed as the first stage of a CAPP (computer-aided process planning system) in the Japanese apparel industry. The purpose of this study is to confirm that a fuzzy knowledge-based system incorporating two points of view (overall/global and localized) and the concept of fuzzy set can be efficiently applied to the recognition of the design features of freehand plane illustrations. It has been confirmed through the experimentation on a prototype that the method is effective.
Simulation of Pedestrian Evacuation with the Optimal Exit Layout Based on a Dynamic Parameters Model

A dynamic parameters model is established based on cellular automata (CA) to simulate pedestrian evacuation in this article. The dynamic parameters are formulated to simplify tactically the decision-making process of pedestrians, which can reflect the pedestrian judgment on the surrounding conditions and determine the pedestrian's choice of action. The pedestrian moving rules are proposed according to two-dimensional cellular automaton Moore neighborhood. The simulation results of this model are compared and analyzed with previous model. It is clear that our model corresponds with the actual and shows the advanced nature. The evacuation time versus pedestrian density and exit width are studied. There is a linear relationship between evacuation time and pedestrian density, whereas there is a nonlinearly relationship (negative exponential) between evacuation time and exit width. Moreover, the authors consider the effects of the crowd distribution in evacuation process, and the optimal exit layout is given in a determined system, such as the optimal position and width of exits, providing safety guiding for the pedestrian in enclosed environments, and avoiding and/or reducing the number injuries.
Uplift Pressure in Crack Below Dam

A specific analytical solution for flow through a horizontal crack of finite length drained by a series of vertical drains is presented. The solution is used to derive diagrams of uplift pressure on the base of a dam and to demonstrate the influence of drains on the distribution and magnitude of uplift forces. Our solution shows that there should be an almost linear drop in hydraulic head from the entrance to the crack at the heel of the dam to the line of drains, followed by a slight rise in head to the end of the crack. This is consistent with a previously suggested solution for porous media. The results show that drain holes are effective in substantially reducing uplift pressures in a crack and have the greatest influence when located between approximately one half and one fifth of the length of the crack from its upstream end.
The pharmacogenomics of vincristine-induced peripheral neuropathy in pediatric acute lymphoblastic leukemia patients in Serbia - a single center experience

Introduction/Objective. Vincristine (VCR) is one of the key drugs in current treatment protocols for pediatric acute lymphoblastic leukemia (ALL). By destabilization of microtubules, VCR arrests cells in metaphase, inducing apoptosis of malignant cells. VCR also causes axonal degradation and impairment of axonal transport, which leads to vincristine-induced peripheral neuropathy (VIPN). This study aimed to investigate association of five variants in pharmacogenes involved in VCR metabolism with VIPN in Serbian ALL children. We wanted to discover candidate pharmacogenomic markers of VIPN in Serbian population, too. Methods. PCR and sequencing-based methodology was used to detect variants in CYP3? 5, CEP72, ACTG1, MIR3117 and MIR4481 genes. Statistical analyses were performed for investigation of their association with VIPN in 56 pediatric ALL patients. Population VCR pharmacogenomics analysis of 17 pharmacogenes from in-house next-generation sequencing data was also done. Data on allele frequency distribution for European population were extracted from public databases. Results. During the treatment, 17.86% of patients developed VIPN. Association analyses have shown that none of the genetic variants contributed to the occurrence of VIPN in our study. Population pharmacogenomics study didn? t reveal valid candidate pharmacovariants for VIPN. Our results suggested that pre-emptive pharmacogenetic testing for VCR is not applicable presently. Conclusion. More comprehensive approaches are needed to identify panel of genes that could explain the VIPN development after VCR administration in ALL patients. Utilizing better designed GWAS studies and more robust artificial intelligence-based tools would provide a panel of pharmacogenes for pre-emptive tests of VIPN to individualize therapy for ALL in children.
Influence of higher order modes on the measurements of complex permittivity and permeability of materials using a microstrip discontinuity

The accurate electromagnetic analysis of discontinuities in a microstrip device, used for the broad band measurement of complex permittivity and permeability of materials, is presented. This analysis is based on the spectral domain approach together with the mode matching method which consists in the electromagnetic field matching at the discontinuities for each mode of the microstrip line. The study of the influence of higher order modes on the S-parameter measurements enabled us to determine the domain of validity of the transmission-line theory that has been used until now in the processing of the data. The use of the transmission-line theory for the description of the electromagnetic behavior of the cell discontinuities permits in the 45 MHz-14 GHz frequency band the achievement of a good precision (better than 5%) for the results on materials with low electromagnetic characteristics (/spl epsi/'<10 and /spl mu/'<10). The improvement in high frequencies of the results on materials with greater permittivity and permeability is provided by the calculation of higher order modes (about 10) in the analysis of the microstrip discontinuity.
A Method for Broad-Band Matching of Microstrip Differential Phase Shifters

Meander-line phase shifters in microstrip are not well matched, because of the phase-velocity difference between the odd and the even mode in the coupled-line region. A stepped impedance design is introduced which allows one to realize, for example, a quarter-wavelength 90/spl deg/ Schiffman phase shifter with three sections, having, theoretically, a return loss better than 30 dB over a 1:5 bandwidth. Design equations are given and are confirmed by measurements on microwave integrated circuits in the frequency range 2-10 GHz.
Dual-fusion Active Contour Model with Semantic Information for Saliency Target Extraction of Underwater Images

Underwater vision research is the foundation of marine-related disciplines. The target contour extraction is of great significance to target tracking and visual information mining. Aiming at the problem that conventional active contour models cannot effectively extract the contours of salient targets in underwater images, we propose a dual-fusion active contour model with semantic information. First, the saliency images are introduced as semantic information, and extract salient target contours by fusing Chan–Vese and local binary ﬁtting models. Then, the original underwater images are used to supplement the missing contour information by using the local image ﬁtting. Compared with state-of-the-art contour extraction methods, our dual-fusion active contour model can effectively filter out background information and accurately extract salient target contours.
Sensorless control of synchronous permanent magnet motors by signal injection

This thesis addresses the problematic of sensorless low speed operation of permanent magnet synchronous motors (PMSM) by signal injection. We focus on the effects of magnetic and cross saturations because their compensation is paramount to solve this problematic. We propose an original way of modeling magnetic saturation using an energy approach (Lagrangian and Hamiltonian formulations), where the physical symmetries are exploited to simplify the expression of the magnetic energy. Experimental data show that a simple polynomial of degree 4 is sufficient to describe accurately magnetic saturation effects. Then we propose a clear and original analysis based on second-order averaging of how to recover the position information from signal injection (using the proposed model). We give an explicit relation between stator current ripples and rotor position; this relation is used in real time operation. Such magnetic saturation model and the resulting position estimates were tested and validated on two types of motors: with interior and surface permanent magnets (IPM and SPM). Experimental results obtained on a test bench show that estimation errors of the rotor position do not exceed few electrical degrees in the low speed operating domain.
Rescheduling job shops under random disruptions

In this work, an algorithm for rescheduling the affected operations in a job shop is presented and its performance, with respect to measures of efficiency and stability, is compared with that of Total Rescheduling and Right-Shift Rescheduling. Algorithms for all three methods are implemented in a rescheduling program which, based on keyed-in disruption information, produces three new schedules and outputs their related performance measures. A designed factorial experiment is performed on benchmark scheduling problems to study the effect of different rescheduling methods as well as various problem characteristics and disruption scenarios on the performance of the new schedules. The results demonstrate that the Affected Operations Algorithm overcomes the disadvantages associated with other rescheduling methods.
The Evolutionary Dynamics of Strategic Logics and Adaptive Intelligence

I develop a model of the evolutionary dynamics of strategic logics and adaptive intelligence, arguing they are contingent on patterns of resource scarcity and uncertainty within industries. My argument borrows an important insight from evolutionary biology, namely that within environments that are relatively rich in resources and low in uncertainty, the dominant selection mechanism is the extinction of the weakest, not the survival of the fittest. That is, within relatively benign selection environments, even moderately fit actors will survive, while in highly competitive selection environments, only the fittest survive. In applying this insight to industrial environments, I distinguish four broad strategic logics that are best suited to ecologies possessing different degrees of resource scarcity and uncertainty. I further argue that the deployment of one or other of these logics calls for different modes of adaptive intelligence: either more rule-based, calculative reasoning, or more associative reasoning that involves intuition and heuristics. The resulting model distinguishes four broad strategic logics, their related mechanisms of evolutionary selection and dominant modes of adaptive intelligence, and their associated resource ecologies. I discuss implications for research into processes of strategic adaptation, the micro-foundations of strategic capabilities, theories of the firm and organizational design.
A Model for the Energetic-Economic Optimization of Office Buildings

Abstract Energy consumption for heating, cooling and lighting of buildings holds a major part of total energy consumption. Significant savings may be achieved through climate-responsive design of office buildings and conservation practices in office buidings. In this work, an optimization model is proposed as a tool for improving the design of office buildings and for the implementation of a new energy code for them. A case study is presented for Israel, but the model is applicable worldwide. The optimization model generates recommended prescriptions for the design of good energetic-economic office buildings. Following these prescriptions will create thermally comfortable workplaces in summer as well as in winter, while maintaining a good energetic-economic performance of the building.
A Cancer-Related microRNA Signature Shows Biomarker Utility in Multiple Myeloma

Multiple myeloma (MM) is the second most common hematological malignancy, arising from terminally differentiated B cells, namely plasma cells. miRNAs are small non-coding RNAs that participate in the post-transcriptional regulation of gene expression. In this study, we investigated the role of nine miRNAs in MM. CD138+ plasma cells were selected from bone marrow aspirates from MM and smoldering MM (sMM) patients. Total RNA was extracted and in vitro polyadenylated. Next, first-strand cDNA synthesis was performed using an oligo-dT–adapter primer. For the relative quantification of the investigated miRNAs, an in-house real-time quantitative PCR (qPCR) assay was developed. A functional in silico analysis of the miRNAs was also performed. miR-16-5p and miR-155-5p expression was significantly lower in the CD138+ plasma cells of MM patients than in those of sMM patients. Furthermore, lower levels of miR-15a-5p, miR-16-5p, and miR-222-3p were observed in the CD138+ plasma cells of MM patients with osteolytic bone lesions, compared to those without. miR-125b-5p was also overexpressed in the CD138+ plasma cells of MM patients with bone disease that presented with skeletal-related events (SREs). Furthermore, lower levels of miR-223-3p were associated with significantly worse overall survival in MM patients. In conclusion, we propose a miRNA signature with putative clinical utility in MM.
Cellular 4G LTE MIMO Antenna System Modeling Utilizing Measured Vehicle-Level Antenna Patterns

Cellular LTE MIMO downlink performance, for 4x4, 4x2, and 2x2 LTE MIMO architectures, in terms of average data throughput and availability, were investigated in an urban canyon environment of Frankfurt, Germany at 2110 MHz on a Sport Utility Vehicle (SUV) with metal and glass roofs for a virtual route. This study utilized the following measured antenna radiation patterns for total polarization on the SUV at 2110 MHz for the mobile station: 1) roof-mounted antenna on metal roof; 2) roof-mounted antenna on glass roof; 3) interior-mounted planar-inverted F antenna; and 4) interior-mounted planar-inverted F antenna rotated 90 degrees. This research was carried out using a three-dimensional simulation software suite that enabled users to simulate electromagnetic wave propagation and wireless network planning. The following observations were obtained from this research. First, the MIMO architectures for the SUV with metal roof exhibited approximately 5% higher average data throughput levels compared to the same MIMO architectures on the SUV with glass roof. Second, the throughput availability for the 4x4 and 4x2 MIMO systems were comparable. Lastly, the average throughput for the 4x4 MIMO system was higher than the 4x2 and 2x2 MIMO systems for the SUV regardless of roof material.
Modeling and optimal design of piezoelectric cantilever microactuators

A novel model is described for predicting the static behavior of a piezoelectric cantilever actuator with an arbitrary configuration of elastic and piezoelectric layers. The model is compared to deflection measurements obtained from 500-/spl mu/m-long ZnO cantilever actuators fabricated by surface micromachining. Modeled and experimental results demonstrate the utility of the model for optimizing device design. A discussion of design considerations and optimization of device performance is presented.
The case for the organisational use of simulation

This paper describes the use of simulation in a large manufacturing organisation and analyses how it could have been used more fully. Although the benefits from using simulation were clear, it was seen that the technique could have been deployed more effectively by considering the organisational context of the use. From the analysis of the case study, certain recommendations are made on how to maximise the benefits from simulation within the organisation, thereby extending the benefits from what is often a considerable investment in developing a simulation model. Recent developments in simulation software in terms of improvements in usability and integration with organisational data are seen to increase the feasibility of a wider role for simulation if the organisational barriers discussed can be overcome.
Colorimetric Detection of Organophosphate Pesticides Based on Acetylcholinesterase and Cysteamine Capped Gold Nanoparticles as Nanozyme

Organophosphates (OPs) are neurotoxic agents also used as pesticides that can permanently block the active site of the acetylcholinesterase (AChE). A robust and sensitive detection system of OPs utilising the enzyme mimic potential of the cysteamine capped gold nanoparticles (C-AuNPs) was developed. The detection assay was performed by stepwise addition of AChE, parathion ethyl (PE)-a candidate OP, acetylcholine chloride (ACh), C-AuNPs, and 3, 3′, 5, 5′-tetramethylbenzidine (TMB) in the buffer solution. The whole sensing protocol completes in 30–40 min, including both incubations. The Transmission Electron Microscopy (TEM) results indicated that the NPs are spherical and have an average size of 13.24 nm. The monomers of C-AuNPs exhibited intense catalytic activity (nanozyme) for the oxidization of TMB, revealed by the production of instant blue colour and confirmed by a sharp peak at 652 nm. The proposed biosensor’s detection limit and linear ranges were 5.8 ng·mL−1 and 11.6–92.8 ng·mL−1, respectively, for PE. The results strongly advocate that the suggested facile colorimetric biosensor may provide an excellent platform for on-site monitoring of OPs.
EQUIVALENT UNIFORM MOMENT DIAGRAM FACTOR FOR COMPOSITE COLUMNS IN MAJOR AXIS BENDING

The ACI Building Code permits the use of the equivalent uniform bending moment diagram factor ( Cm ) for computing the effect of moment gradient, along the column height, caused by unequal column end moments. The concept of equivalent uniform moment diagram was introduced into design practice to eliminate the need for extensive calculations based on the solution to a differential equation. The expression currently used by the ACI Building Code is a simplified equation based on the elastic behavior of columns, and does not include the inelastic material behavior. This study was conducted to investigate the influence of different variables on Cm of slender, tied, rectangular composite columns in which steel shapes are encased in concrete and to examine existing expressions for Cm . Approximately, 11,000 square composite columns, each with a different combination of specified values of variables, were simulated. The columns studied were subjected to short-term ultimate loads and unequal end moments causing m.
Early & Quick Function Points ® v3.0: enhancements for a Publicly Available Method

Early & Quick Function Points analysis (E&QFP) was invented in 1997 by Roberto Meli in order to facilitate IFPUG Function Points estimation and was presented at the ESCOM 97 conference, for the first time. Since then, the usage of the method has been spread out all over the world and E&QFP has probably become the most used functional size estimation method for Italian Public Administration software contracts. In 2004 DPO presented the version 2.0 of the rules and the method was extended, experimentally, to the COSMIC Functional Size Measurement Method. After three years of experience with the version 2.0 and ten years from the initial formulation, we present, now, the latest evolution of the method, for the IFPUG FPA, identified as version 3.0. In 2006 E&QFP has become a registered trademark but the method is still available for free in the public domain since it is managed as a “Publicly Available Method”. The DPO development team has opened the doors to external contributions and the method will evolve, in the future, considering feedback from actual users in the market. A certification program has been created in 2007 to guarantee that the method is used consistently among different practitioners. The present paper illustrates the basic concepts of functional size estimation and introduces the new version 3.0 of the Early & Quick FP method for the IFPUG context.