Miracle-dz/UniFAR-FTUs huggingface dataset:
Histopathology of gastric cancer in Yemen: A seven years retrospective analysis

Background : Gastric cancer (GC) is a major contributor to the global burden of cancer morbidity and mortality. It is the fourth most commonly occurring worldwide. Objective : To describe the general pattern of primary GC in Yemen and compare the findings of patients' age, sex, histological type and degree of differentiation to findings from other Middle Eastern countries and the rest of the world. Methods : This is a descriptive record-based study of 517 cases of GC in the Department of pathology, Sana'a University, Yemen, for seven years period. The diagnosis was made on hematoxylin and eosin stained sections and categorized the cases of gastric malignancies according to histological type. Results : Out of 517 cases of GC, 183 (35.4%) were females and 286 (64.6%) were males with 1:1.8 female to male ratio. The commonest type of GC was adenocarcinoma comprising, 462 (89.3%) of which female and male cases were 166 (36%) and 296 (64%) respectively. Non-Hodgkin's lymphomas accounted, for 38 (7.4%). The rest of the cases were nine undifferentiated malignancies, four leiomyosarcoma, two gastrointestinal malignant stromal tumors, one adenosquamous and the last one was carcinoid. Male preponderance was seen in all malignancies. The mean age for adenocarcinoma in females was 55.9 years and 59.5 years in males. Well-differentiated adenocarcinomas accounted for 45.7% followed by moderately-differentiated 22.1%. The poorly differentiated and signet ring cell carcinomas accounted for 16.2% and 9.5% respectively. Conclusion : The frequency of GC in Yemen revealing similar features in age, sex and hitological types with that reported from high incidence areas. Key words : Gastric cancer - adenocarcinoma- lymphoma - Yemen.
Estudio del comportamiento de los morteros reciclados frente al ruido de impacto

En la actualidad existe una amplia gama de sistemas y materiales que se emplean como atenuadores del ruido de impacto, ofreciendo buenas prestaciones a la hora de evitar la transmisión de vibraciones a través de los forjados. En este trabajo, se han elaborado placas de mortero de cuatro centímetros de espesor con cuatro tipos de árido diferentes combinados con distintas tipologías de aislamiento. Aprovechando la menor densidad de los morteros elaborados con árido reciclado, se ha llevado a cabo una investigación en la que se propone sustituir el 100% del árido natural por árido reciclado para la fabricación de morteros empleados en el sistema de losa flotante, ya que ofrecen una solución más eficiente desde el punto de vista acústico. Los morteros elaborados con áridos reciclados de cerámica y mixto los que presentan la solución óptima para atenuar impactos producidos sobre la superficie, reduciendo hasta en un 20% la velocidad de transmisión de impactos frente a sus homólogos elaborados con árido natural.
Enabling Fine-Grained Dynamic Voltage and Frequency Scaling in SDSoC

Dynamic Voltage and Frequency Scaling (DVFS) has been extensively applied as a system-level methodology for energy optimization or temperature control. But current DVFS systems are mostly implemented on CPUs, DVFS working on FPGAs is limited. Moreover, all current DVFS systems available for FPGAs have either low scaling resolution or long reconfiguration time, and none of them is easy to reuse. In this paper, we develop a fast and efficient ZYNQ-based DVFS platform with high resolution and short reconfiguration time. In addition, we add the DVFS support to SDSoC and make it easier and quicker to build an ZYNQ system with DVFS features. We also apply our DVFS platform to a real-time semi-global matching (SGM) accelerator as a case study, and develop a DVFS policy to optimize its power consumption. Compared to the state-of-the-art, our DVFS platform saves 45% FFs and almost all LUTs, the voltage scaling time is 7ms and the frequency scaling time is 3$\mu s$, and time for one design iteration to add DVFS support is reduced from several hours to a few minutes. Compared to its unoptimized version, the SGM accelerator with our DVFS platform saves up to 46% energy.
Experimental investigation to estimate the discharge coefficient of a grate inlet under surcharge conditions

ABSTRACT Pressure pipe flow conditions appear in sewer systems when flow exceeds the hydraulic capacity of the conduit, causing some outflow to be produced. In these cases, water exits through manholes and inlets causing surface flooding. According to some recent studies, the flow leaving the pressured sewer can be estimated assuming orifice flow conditions although it requires the use of proper values of the discharge coefficient in order to obtain realistic results. In this paper, an experimental approach to calculate discharge coefficients through an inlet for surcharged pipe conditions is presented. Tests were carried out using a real laboratory platform simulating a road lane. Different surcharged flows through the inlet from 10 to 50 l/s were considered. The range of the obtained discharge coefficient has been between 0.13 and 0.41 for surcharged flow from 10 l/s to 50 l/s. Sensitivity analysis demonstrated that discharge coefficients can be considered constant for any street longitudinal slope.
Mechanical Energy Harvesting Taxonomy for Industrial Environments: Application to the Railway Industry

Traditional industry is experiencing a worldwide evolution with Industry 4.0. Wireless sensor networks (WSNs) have a main role in this evolution as an essential part of data acquisition. The way in which WSNs are powered is one of the main challenges to face if industry wants to achieve the digital transformation. Energy harvesting technologies are one of the possible solutions to this challenge. The main purpose of this paper is to present a novel method to taxonomize knowledge in the field of mechanical energy harvesting to enhance the use of energy harvesting technologies in industrial applications. The methodology is based on the analysis of key parameters and performance metrics for existing technologies. The taxonomy is applied to rail axles in order to select the energy harvesting technology that is more appropriate for this specific location, demonstrating the potential of mechanical energy harvesting technologies (MEHTs) for the railway industry, as a use case of industrial environment. In addition, the taxonomy allows to identify the upcoming challenges for research purposes while analyzing the compatibility among mechanical energy harvesting technologies in order to create hybrid harvesters.
Parameterizing and Aggregating Activation Functions in Deep Neural Networks

The nonlinear activation functions applied by each neuron in a neural network are essential for making neural networks powerful representational models. If these are omitted, even deep neural networks reduce to simple linear regression due to the fact that a linear combination of linear combinations is still a linear combination. In much of the existing literature on neural networks, just one or two activation functions are selected for the entire network, even though the use of heterogenous activation functions has been shown to produce superior results in some cases. Even less often employed are activation functions that can adapt their nonlinearities as network parameters along with standard weights and biases. This dissertation presents a collection of papers that advance the state of heterogenous and parameterized activation functions. Contributions of this dissertation include • three novel parametric activation functions and applications of each, • a study evaluating the utility of the parameters in parametric activation functions, • an aggregated activation approach to modeling time-series data as an alternative to recurrent neural networks, and • an improvement upon existing work that aggregates neuron inputs using product instead of sum.
Developing a General Methodology and Construct a Driving Cycle with an Economic Performance Evaluation for Basrah City

In this paper, a statistical method is employed to develop a driving cycle for Basrah city and to find out the factor score and the Euclidean distance analysis by the Statistical Package for the Social Sciences (SPSS). A simple electronic system is built to construct the driving cycle, the system considered a microcontroller and a GPS sensor connected to a PC through a simple C++ code. The development of the proposed driving cycle represents the first model driving cycle in the city of Basra. The advisor software package is used to investigate the economic performance of the internal combustion engine based on HC, CO, and NOx exhaust emissions. It was found that the obtained driving cycle is significantly different than the other driving cycles in terms of exhaust emissions and fuel consumption and within the expected range of emissions. The developed driving cycle model obtained is a representative delicate estimation of the exhaust emissions and fuel consumption, and will be utilized for future work to obtain a good performance of the hybrid electric vehicles.
A Resistor-Free $N$ -Way Power Divider With Simultaneous Output Matching and Isolation

This letter introduces a resistor-free <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula>-way power divider (PD) having simultaneous output matching and output isolation characteristics. By properly designing the parameters of the proposed isolation network, an equivalent grounded resistor is obtained under odd-mode excitation of the output ports. Based on this characteristic, the proposed <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula>-way PD can then achieve output matching and isolation between the output ports. To verify it, the design of a three-way resistor-free PD structure is given. At the operating frequency, the measured input return loss and insertion loss are 47 and 5.18 dB with corresponding output reflection and isolation coefficients less than −15 dB.
The role of contractors’ building information modelling (BIM) experience in realising the potential values of BIM

Abstract There has been recently a growing attention towards the potential benefits of building information modelling (BIM) in construction business processes from both academia and industry practitioners. While prior research has emphasised that there is a link between the proficiency of construction companies to use BIM and the realisation of BIM benefits, little evidence exists to capture this relationship. The aim of this study is to explore the extent to which prior BIM experiences influence the perception of industry experts on potential BIM benefits. The influence of years of BIM experience on the discernment of BIM potential benefits was examined through a survey of Australian building contractors. The results of the analysis of variance (ANOVA) showed that BIM experience was a significant factor in the realisation of potential BIM benefits. The results suggest that an increase in years of BIM experience foster a better understanding of BIM benefits, which consequently can lead to a more inspiring movement towards the adoption of BIM by construction organisations. The main contribution of this article is to increase awareness towards the adoption and implementation of BIM by making a link between BIM proficiency and an increased perception of BIM potential benefits in construction organisations.
Human-Computer Co-Creativity : Designing, Evaluating and Modelling Computational Collaborators for Poetry Writing

Human-computer co-creativity examines creative collaboration between humans and artificially intelligent computational agents. Human-computer co-creativity researchers assume that instead of using computational systems to merely automate creative tasks, computational creativity methods can be leveraged to design computational collaborators capable of sharing creative responsibility with a human collaborator. This has potential for extending both human and computational creative capability. This thesis focuses on the case of one human and one computational collaborator. More specifically this thesis studies how children collaborate with a computational collaborator called the Poetry Machine in the linguistically creative task of writing poems. This thesis investigates three topics related to human-computer co-creativity: The design of human-computer co-creative systems, their evaluation and the modelling of human-computer co-creative processes. These topics are approached from two perspectives: an interaction design perspective and a computational creativity perspective. The interaction design perspective provides practical methods for the design and evaluation of interactive systems as well as methodological frameworks for analysing design practices in the field. The computational creativity perspective then again provides a theoretical view to the evaluation and modelling of human-computer cocreativity. The thesis itself consists of five papers.
Design of New Dual-Band Wilkinson Power Dividers With Simple Structure and Wide Isolation

In this paper, a new scheme is proposed for a dual-band Wilkinson power divider (PD) without transmission line (TL) stubs (open- or short-circuited), or additional lumped elements (inductors and capacitors). In comparison with conventional PDs, only three additional TLs are employed. One is utilized to extend the input port, while the others are symmetrically distributed at the two branches. After applying even- and odd-mode analyses to the proposed structure, the exact closed-form design equations for a frequency ratio from 2.0 to 6.5 are derived, considering the largest realizable microstrip line impedance (150 $\Omega $ ). In addition, a new L-type TL with simple structure, compact size, and high design flexibility is proposed to replace the conventional TL to enhance its performance by introducing a transmission zero between the two passbands, resulting in good out-of-band rejection performance. Finally, two dual-band PDs centered at 1.0 and 3.5 GHz are designed and fabricated to verify the proposed design theory. One is based on the proposed structure, while the other incorporates a couple of L-type TLs to replace the conventional TLs. Good agreement with the simulated and measured results can be observed with a low in-band insertion loss and full ports matching. Moreover, the proposed PD also features a wide isolation band with a reference of 15-dB input port return loss. Moreover, the use of the L-type TL can introduce a good stopband between the two passbands, leading to an improved out-of-band rejection performance.
Experimental Evaluation of the Ventilation Effectiveness of Corner Stratum Ventilation in an Office Environment

An experimental study was conducted in a room resembling an office in a laboratory environment. The study involved investigating the ability of corner-placed stratum ventilation in order to evaluate the ventilation’s effectiveness and local thermal comfort. At fixed positions, the air temperature, air velocity, turbulence intensity, and tracer gas decay measurements were carried out. The results show that corner-placed stratum ventilation behaves very similar to a mixing ventilation system when considering air change effectiveness. The performance of the system was better at lower supply air flow rates for heat removal effectiveness. For the heating cases, the draught rates were all very low, with the maximum measured value of 12%. However, for the cooling cases, the maximum draught rate was 20% and occurred at ankle level in the middle of the room.
Two-Step Plasma Treatment on Copper Surface for Low-Temperature Cu Thermo-Compression Bonding

The success of wafer-to-wafer or chip-to-chip bonding in 3-D packaging relies on the development of planarized, activated, and oxygen-free Cu surface. Preventing Cu oxidation is becoming a crucial issue in chip-to-chip bonding processes. In this study, a two-step plasma pretreatment process was demonstrated to prevent copper oxidation by virtue of forming a nitride passivation layer on the Cu surface. The two-step plasma pretreatment consisted of Ar plasma to activate the Cu surface, followed by N2 plasma to passivate the Cu surface. It was found that the pressure in the Ar plasma step had the greatest effect on the formation of nitrate passivation on the Cu surface, and the lower the pressure in the Ar plasma step, the better the formation of copper nitrate in the N2 plasma step. The two-step plasma pretreatment provided a nitride-passivated Cu surface and significantly improved the Cu-to-Cu bonding quality. This process may enable Cu-to-Cu bonding in an atmospheric environment.
Dynamically-consistent Generalized Hierarchical Control

Tracking multiple prioritized tasks simultaneously with redundant robots have been investigated extensively over the last decades. Recent research focuses on combining advantages from both classical soft and strict prioritization schemes which is non-trivial. Among the proposed methods to tackle this issue, Generalized Hierarchical Control (GHC) seems to have a reasonable performance, however, it does not include a weighting matrix in the computation of the nullspace projection operator and hence cannot construct dynamically-consistent stack-of-tasks hierarchies as a special case. We extend GHC by adding dynamic-consistency to the control scheme and refer to it as DynGHC. The extension is also advantageous when choosing non-strict priorities because inertia coupling between tasks is reduced. DynGHC allows to smoothly rearrange priorities which is important for robots acting in dynamically changing contexts. Comparative simulations with a 4 DOF planar manipulator and a KUKA LWR validate our approach. Matlab and C++ source code is made available.
THE USE OF REACTIVE STRENGTH INDEX-MODIFIED AS AN EXPLOSIVE PERFORMANCE MEASUREMENT IN MALE AND FEMALE ATHLETES

This study examined the reliability of reactive strength index-modified (RSImod), relationships between RSImod and force-time variables, and difference in RSImod between male and female collegiate athletes. 106 Division I collegiate athletes performed unloaded and loaded countermovement jumps. Intraclass correlation coefficients and coefficients of variation were used to establish the reliability of RSImod. Correlations were calculated between RSImod and rate of force development, peak force, and peak power. RSImod appears to be a reliable performance measurement in male and female athletes. Furthermore, RSImod has moderate to very large relationships with rate of force development, peak force, and peak power. Statistically significant differences in RSImod existed between males and females during both unloaded and loaded CMJs.
Design of Bidirectional Antenna Array With Adjustable Endfire Gains

The endfire gains of bidirectional antenna arrays reported previously are not adjustable. A method for controlling the gain distribution of bidirectional antenna array is presented in this letter. By introducing a weighted diagonal matrix into the method of maximum power transmission efficiency, the optimized excitations for the antenna elements can be obtained to realize the desired distribution for the endfire gains in the two opposite directions of a bidirectional antenna array. To demonstrate the feasibility of the method, a four-element printed bidirectional dipole array is designed and fabricated. Compared with the conventional designs using dipole elements, the optimized dipole antenna array can achieve a desired distribution of endfire gains with reduced size and enhanced gain. The simulated and measured results show that the endfire gain in one direction varies from 1.5 to 10.2 dBi at 2.45 GHz as the ratio of weights changes from 0 to 1. The endfire gain reaches 9.3 dBi when the radiation patterns are equally excited in both directions.
Special Issue “Plug-In Hybrid Electric Vehicle (PHEV)”

Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy-efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy-storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This Special Issue is focused on the recent advances in electric vehicles and (plug-in) hybrid vehicles that address the new powertrain developments and go beyond the state-of-the-art (SOTA).
Failure Rates of Offshore Wind Transmission Systems

In the offshore wind industry, failures are often costlier than those experienced onshore. Through examination of the literature, it is clear that failures occurring in offshore transmission systems are not well documented. As a result of this, many developers and other parties involved in the planning processes associated with offshore wind farms will defer back to existing reliability metrics in the public domain. This article presents a review of European offshore wind farm transmission failures based on fusing information from multiple public domain sources. The results highlight both the spread of the reliability performance of these assets and the reliability performance over time. The results also reinforce the industry view that installation practices could lead to low reliability in the initial years of operation, resulting in increased repair costs and decreased revenue for wind farm owners and operators. The information collated in the review is also compared to metrics from across the literature to evaluate the difference in forecasted failure rates to those experienced within the industry. In general, it is found that the experienced failure rates are subject to a much higher spread in practice than those published until now.
Combined Numerical and Analytical Analysis of an Oil-free Twin Screw Compressor

The application of three-dimensional computational fluid dynamics in twin-screw compressors provides an outstanding opportunity for developers to gain an understanding of the complex internal flow phenomena occurring within the machine. Equipped with this knowledge, design parameters, such as clearances and port geometry, can be optimised, to enhance performance. However, as with all modelling, be it numerical or analytical, a high degree of certainty in the accuracy of the results is necessary. This paper presents the results of a study of oil-free twin screw compressor in which the results of two modelling techniques are compared. The modelling techniques used are an analytical non-dimensional thermodynamic chamber model and a numerical computational fluid dynamic model. The paper presents an overview of an oil-free twin screw compressor machine, before describing important operating characteristics and the modelling techniques used. To validate, both models are compared against historical test data, this validation indicated the chamber model is more accurate. Following this, the focus will be on the comparison of key performance indicators, including, volume flow rate, volumetric efficiency, indicated power, and discharge temperature at varying duty points. The paper concludes that the difference between both models decreases as the compressor operating speed increases, although the level of variance is dependent on pressure ratio.