Miracle-dz/UniFAR-FTUs huggingface dataset:
A 53–67 GHz Low-Noise Mixer-First Receiver Front-End in 65-nm CMOS

In this paper, we present a mixer-first receiver front-end suitable for millimeter wave (mm-wave) applications. The proposed architecture includes a modified single-balanced mixer core with an on-chip balun in order to provide a differential output from an injected single-ended local oscillator signal. The mm-wave active balun incorporates a cascode cross-coupled structure to achieve a high voltage gain with low amplitude and phase imbalance. The inter-stage inductors are utilized to increase the mixer conversion gain (CG). Moreover, by manipulating the transistor body effect in the transconductance stage, the CG and noise figure of the mixer are further improved. The mixer also achieves a high input return loss which makes it suitable for the mixer-first receivers. As a proof-of-concept, a 53–67 GHz mixer with a center intermediate-frequency of 20 GHz is designed and implemented in a 65-nm CMOS process. The mixer achieves a measured peak conversion gain of 12.1 dB and a 1-dB compression point of −5 dBm. Furthermore, the fabricated mixer achieves a minimum double-sideband (DSB) noise figure of 6.5 dB over its bandwidth. The whole chip consumes 11.5 mW from a 1-V supply and excluding the pads occupies 0.27 mm2 of silicon area.
Barriers to Tacit Knowledge Sharing in Geographically Dispersed Project Teams in Oil and Gas Projects

Global integration, advances in information and communications technology, in addition to changing partnership models and structures, have led to the growing use of geographically dispersed project teams (GDPTs). However, relatively little is still known about the nature of barriers to tacit knowledge sharing in oil and gas projects. Consequently, this Delphi study explores the features of obstacles to tacit knowledge sharing in oil and gas project settings. The barriers were found to be personal, team, organizational, and external in nature. This article provides unique insights that can assist in the effective knowledge management across GDPTs in oil and gas projects.
(Non‐)Participation in Deliberation at Work: A Case Study of Online Participative Decision‐Making

Social media are implemented by organisations to enhance productivity and knowledge sharing among employees, but they can also support group deliberation and employee voice. This paper presents a case study of an online deliberation initiative involving the discussion of a contentious internal policy within an organisation of around 550 knowledge workers. The deliberation process lasted 5&#160;weeks and actively involved 167 employees. Different sources of information (user interaction logs, activity patterns, questionnaire responses) were analysed to investigate the impact of participation, or non&#8208;participation, on the level of satisfaction with the deliberation, and on the understanding of the issue discussed. The findings suggest that (1) interest is a driver for participation, but it does not explain active participation, (2) participation, either active or passive, positively influences the understanding of the issue and (3) satisfaction with the outcome is not related to participation, but it may support participation in future initiatives.
The CLIOSjre Process: A Flexible Multicriteria, Multistakeholder Decision Framework for Transportation Planning under Uncertainty

Transportation investments determine the long-term success or failure of a transportation provider. It is therefore vital for decision makers to have an in-depth understanding of the alternatives available before they choose to invest. However, often, the process of evaluating alternatives is lengthy, costly, and contentious, particularly for transportation infrastructure investment decisions that are large, complex, and interconnected with other economic development and sustainability goals. Furthermore, transportation investments involve many decision makers, each with different priorities and expertise. Therefore, there is a need for transparent, accurate, flexible, and practicable decision-making aids that can handle the complex challenges facing the decision-making bodies of transportation providers and planning organizations. This paper introduces a new decision aid—the CLIOSjre Process—that combines insights from multicriteria decision analysis, multistakeholder negotiation theory, and uncertainty analysis. The CLIOSjre Process helps decision makers compare multiple alternatives across multiple objectives and seek an informed collective transportation investment decision. Unlike other multicriteria decision aids, the CLIOSjre Process accounts for differences of opinion among decision makers and is designed to facilitate constructive negotiation among them. Finally, the CLIOSjre Process formally accounts for sources of uncertainty inherent in these decisions. In this way, the CLIOSjre Process provides a unique and flexible framework for investment analysis that can adapt to changes in transportation alternatives, decision-maker priorities, and emerging real-world conditions. The usefulness of this new decision aid is illustrated for the East Japan Railway Company’s consideration of a transportation investment opportunity in high-speed rail development on the Northeast Corridor of the United States.
Local Search Methods to Find Approximate Solution for The Sum of Two Criteria with Unequal Ready Times in Machine Scheduling Problem

This research concentrates on the study of SA / TS which is regarded as two of the approaches of modern artificial intelligence, to solve the problems of scheduling by single machine to minimize bi _ criteria 1/rj/∑j=1nwj(1−e−rcj)+Tmax . This problem settled up to 30000 jobs.
Photoacoustic evaluation of the thermal effusivity in the isotropic phase of certain comb-shaped polymers

The thermal effusivity values in the isotropic phase of certain comb-shaped polymers have been evaluated for the first time using an open photoacoustic cell configuration. The compounds investigated have siloxane and acrylate backbone and they carry mesogenic groups in their side chain. The results indicate that the polymer chain length as well as the side chain length have pronounced influence on the thermal effusivity values in liquid crystalline polymers.
Plastic deformation mechanism transition of Ti/Ni nanolaminate with pre-existing crack: Molecular dynamics study

Tensile behaviors of Ti/Ni nanolaminate with model-I crack are investigated by molecular dynamics simulations. The Ti/Ni nanolaminates with center crack either in Ti layer or in Ni layer under different loading directions are utilized to systematically study the mechanical performance of the cracked material. The results indicate that pre-existing crack dramatically changes the plastic deformation mechanism of the Ti/Ni nanolaminate. Unlike the initial plastic deformation originating from the interface or weak Ti layer of the crack-free samples, the plastic behavior of cracked Ti/Ni nanolaminate first occurs at the crack tip due to the local stress concentration. Subsequent plastic deformation is dominated by the interaction between the crack and interface. The Ti/Ni interface not only impedes the movement of the initial plastic deformation carriers (dislocation, slip band, and deformation twinning) from the crack tip, but also promotes the movement of interfacial dislocations in the tension process. Microstructure evolution analysis further confirms that the plastic deformation mechanism transition is ascribed to the orientation-dependent tensile behavior at the crack tip, which is intrinsically attributed to the anisotropy of the certain crystal structure and loading direction of the cracked Ti/Ni nanolaminate. In addition, by analyzing the effects of different plastic deformation carriers on crack propagation in specific crystal, it can be discovered that the interfacial dislocations moving towards the crack tip can further promote the crack growth.
THE EFFECT OF PHOTOVOLTAIC LOCATION ON POWER QUALITY OF THE UTILITY GRID

Recently, the applications of solar energy to generate electric power using photovoltaic, PV is increasing rapidly, to improve the utilization of this system a power electronic converters are needed, whoever these power electronic devices inject harmonic current into the grid consequently deteriorate the quality of electric power. This paper studies the effect of PV system location and PV penetration level on the harmonic content at the point of common coupling and on the other power grid buses. The study will be conducted by integrated different rating of PV system with the nine-bus IEEE system at different location to determine the best location and penetration level in order to minimize the total harmonic distortion. The system modelling and simulations are carried out using MATLAB platform
Homogeneous hydrostatic flows with convex velocity profiles

We consider the Euler equations of an incompressible homogeneous fluid in a thin two-dimensional layer , , with slip boundary conditions at z = 0, and periodic boundary conditions in x. After rescaling the vertical variable and letting go to zero, we get the following hydrostatic limit of the Euler equations supplemented by slip boundary conditions at z = 0 and z = 1 and periodic boundary conditions in x. We show that the corresponding initial-value problem is locally, but generally not globally, solvable in the class of smooth solutions with strictly convex horizontal velocity profiles, with constant slopes at z = 0 and z = 1.
Multifactor analysis for face recognition based on factor-dependent geometry

The success of multifactor analysis, such as Multilinear Principal Component Analysis (MPCA), results from its ability to decompose the characteristics of each sample vector into multiple parameters associated with multiple factors. MPCA parameterizes each factor based on the average structure of the submanifolds that are created by varying only this factor. This averaging process is based on the assumption that the influences of multiple factors are independent, and thus each submanifold is influenced only by one factor. Only if this assumption is true can the average shape sufficiently represent individual submanifolds. In this paper, we show that if the original shapes of such submanifolds vary greatly, their average shape merely illustrates the general tendencies influenced by each factor. In a real data set, such significant variance is not rare; when this occurs, MPCA's parameters cannot sufficiently cover individual submanifolds. To break these limitations of MPCA, we propose semi-decomposable parameters that still decompose the influences of multiple factors while also representing the interdependence of the factors. The factor-dependent parameters obtained by our method preserve individual submanifolds without averaging. Thus, we do not lose the shape of each submanifold, which makes these novel parameters appropriate for accurate classification of each sample as a result of sufficient coverage. The accuracy of experiments on face recognition demonstrates the advantages of our method over leading methods for multifactor analysis.
STRUCTURAL AND FUNCTIONAL ASPECTS OF Y BOX BINDING PROTEIN IN RELATION TO ITS INTERACTIONS WITH DNA/RNA/ EXTRACELLULAR RECEPTORS

Y Box binding protein-1 (YB-1) is evolutionary conserved human member of Cold shock protein family involved in various cellular processes. YB-1 was first identified as a DNA binding protein which specifically binds to inverted CCAAT box (Y-box) of the MHC-II promoter and regulates its transcription. But, latter it was evidenced that YB-1 can bind with wide range of sequences in DNA and RNA. YB-1 regulates transcription as well as translation of various cellular proteins via its ability to binds with DNA and RNA. Recent studies clearly emphasize that extracellular YB-1 fragments appear while cancer or inflammation condition and interacts with extracellular NOTCH-1 receptors thereby activates carcinogenesis and tumor progression. In this review, we discussed about the structure of YB-1 and the function of YB-1 in transcriptional and translational regulatory mechanisms.
Application of the Real Options in Engineering Design and Decision Making: Focus on Mine Design and Planning at Operational Level

Risk and uncertainty have dominated business news headlines in recent times. However, opportunities generated by real or perceived risk and uncertainty are less mentioned. Traditional engineering practices are generally risk-averse, a tendency which diminished opportunities that resulted from positive treatment of risk and uncertainty. Flexibility and strategic adaptability are essential for long-term corporate success, and real options (RO) analysis is applauded as a preferred tool for analysis. Nevertheless, its application in engineering design has been sluggish compared to its financial application. This thesis is comprised of four journal articles, utilising analytical methodologies including a binomial decision tree that was applied to create a switching option between pits regarding changing ore grades and fluctuating commodity prices, a stochastic process with jump diffusion which was applied to analyse option to delay, to abandon the operations and to stage the investment and predictive data mining which was utilised in the analysis of ROs in managing geological uncertainty for optimal decision making in mining operations. Additionally, a RO identification framework for mine operational decision making has been proposed, a relationship between risk measure (beta) and flexibility (flexibility index) is derived and applied, and a modified smooth pasting condition with the mean value theorem is subsequently applied to estimate the optimal value. This research argues that engineers and decision makers should view uncertainty as a source of value. Adaptation of this view may shift the debate on how mine planners and engineers approach uncertainty. Thus, the thesis extends the idea that uncertainty cannot be eliminated but rather the opportunities that it presents can be leveraged by having a flexible system. This thesis is one of the few, if not the only research piece to have applied a predictive data mining algorithm for creating managerial flexibility at a mine operational level. The research supports future studies and encourages the use of RO analysis in engineering design and decision making as it enhances understanding of the rationale for flexibility in design. Moreover, the thesis proposes a flexibility domain map for managerial decision making by creating an uncertainty identifications framework and RO application domains within the mining system. This introduction of managerial flexibility on the shop floor is a critical step as ROs have not been used at a mine operational level before. In addition to furthering the academic debate about the critical role of data utilisation and highlighting the new area of research, particularly the integration of data analytics into mine design and planning process, this thesis has opened up a new research frontier on how the concept of ROs can be integrated with technology, particularly with data analytics. There is currently a disconnect between big data and mining operations which generates huge data that is not adequately utilised to create value.
Integrated CVR and Demand Response Framework for Advanced Distribution Management Systems

The advanced distribution management system (ADMS) integrates the existing distribution management system and outage management system components with a distributed energy resource management system. Compilation of these components provides more flexibility for maximizing energy efficiency and reliability. In this paper, two major ADMS functions: conservation voltage reduction and demand response are integrated for harnessing the energy efficiency. The integration of these two functionalities considers all the constraints for maintaining system reliability. The proposed energy efficiency model offers the most suitable demand response plan to each customer for minimizing the consumption cost in the day ahead market. The model also considers the generation from customer-end distributed energy resources (DER), such as photovoltaic and battery energy storage systems. Moreover, different scenarios are considered in terms of the DER and load stochasticity in the integrated framework. Finally, the proposed model is validated on a test feeder with the consideration of time-varying voltage sensitive loads.
Understanding the ageing behaviour of transformer oil–paper insulation with ester and mixed dielectric fluids

Study of alternate fluids for transformer and their combination with traditional ones is an interesting area of research. The intent of this work is to investigate the thermal ageing performance of ester oils (synthetic and natural), and mixed oil vis-a-vis mineral oil. All the samples were thermally stressed at 110, 140, 160, and 185°C for 2 weeks each. Dissolved decay contents in oil and linear thermal expansion coefficients of solid insulation have been studied using ultraviolet visible infrared spectroscopy and dilatometry analysis, respectively, as per ASTM standards. Change in functional groups of the insulation oils with ageing have been understood by Fourier transform infrared spectroscopy analysis. Additionally, diffusion of oil-moisture mixture into paper with ageing and the corresponding effect on dielectric strength of paper has been also examined using ASTM standards. It is observed that the use of synthetic ester (SE) and addition of SE to mineral insulating oil lead to improved performance of oil-paper insulation system with retarding the rate of degradation of the insulation system.
Design of measures for soil erosion control and assessment of their effect on the reduction of peak flows

The aim of this paper is an assessment of the susceptibility of soil to soil erosion, proposed measures against soil erosion, and an assessment of their effect on the reduction of peak flows. The area of interest is the Haluznikov Creek basin. The calculations of the soil loss from water erosion were done using the universal soil loss equation and universal soil loss equation 2D methods; for estimating design floods, the curve number method was applied. For reducing the soil loss to tolerance values, strip cropping measures on agricultural fields were proposed. After applying the strip cropping measures, the design flood peaks were also reduced.
Distributed Optimization for Resource Allocation Problems Under Large Delays

In this paper, a distributed resource allocation problem is investigated based on a continuous-time algorithm in the presence of time-varying communication delays. The considered delays are allowed to take both “large” and “small” delay values in an alternating manner. The “small” delays refer to a class of delays that guarantee the exponential convergence to the optimal solution; otherwise, they are called “large” delays. The existence of “large” delays may affect the behavior of the optimal allocation solution, and the existing algorithms with delays may not be applicable to this kind of “large” delays. To address “large” delay cases, a switched algorithm is first proposed based on switching techniques, and then, such an algorithm is modeled as switched delay systems. Second, by adopting the Lyapunov functional theory, the upper bound of delays is first derived to guarantee the exponential convergence to the optimal solution under “small” delays, and then, a delay-dependent sufficient condition is obtained to ensure exponential convergence of the proposed algorithm based on some restrictions on “large” delays. Finally, we adopt an IEEE 118-bus practical example to show the effectiveness of the proposed algorithm.
Modélisation pluie-débit et analyse du régime d'un bassin versant semi-aride sous influence nivale. Cas du bassin versant du Rheraya (Haut Atlas, Maroc)

Le débit des rivières et la recharge des nappes dans la région de Marrakech sont étroitement liés à la dynamique hydrologique dans le Haut-Atlas. Pour anticiper les effets du changement climatique dans cette région où la demande en eau est croissante, il est essentiel de mieux connaitre la contribution respective de la fonte de la neige et des pluies au débit des oueds de montagne. Cette étude vise à modéliser les débits de l'oued Rheraya dans le Haut-Atlas marocain (225 km², altitudes comprises entre 1030 m et 4165 m) en prenant en compte la composante nivale. Pour cela, le modèle conceptuel global GR4J est appliqué sur la période 1989-2009 en y adjoignant le module CemaNeige qui simule la dynamique de la composante neigeuse de manière semi-distribuée. Ces travaux permettent d'affiner la caractérisation du régime hydrologique du bassin. La fraction enneigée simulée se révèle corrélée avec celle extraite du produit neige MODIS durant la période 2000-2009 (R2 = 0,64). De plus, l'équivalent en eau de la neige simulé est cohérent avec celui mesuré par une station automatique durant la période 2004-2006 (R2 = 0,81). Enfin, nous obtenons une simulation des débits qui reproduit bien la très forte variabilité saisonnière et interannuelle. Le Nash relativement faible par rapport aux standards habituels (0,45) peut s'expliquer par la faible qualité des mesures de débit (régime d'oued à lit instable). En conclusion, le régime hydrologique de l'oued Rheraya est pluvio-nival avec une distribution des débits unimodale dont le maximum en avril coïncide avec la fonte des neiges. C'est à ce moment que les populations en aval sont les plus vulnérables au déficit de débit car les cultures irriguées entrent en période de croissance.
Modified Binary Differential Evolution Algorithm to Solve Unit Commitment Problem

Abstract Unit commitment problem with huge number of constraints is considered as an important optimization problem encountered in the electric power systems. This paper proposes a modified binary differential evolution (MBDE) inspired by the idea of estimation of distribution and differential evolution algorithms to solve the multi-constrained unit commitment problem. The updating strategy of the standard differential evolution (DE) is reserved in the proposed MBDE so that the excellent characteristics of DE, such as easy implementation and parameter tuning, are inherited. A new probability estimator operator is applied in MBDE, which efficiently preserves the diversity of population and boost the global search ability. Further, this paper also explores various priority methods based on unit characteristics for unit scheduling and allocating the power to committed units. The effectiveness of proposed method has been investigated on the small scale to large scale power systems ranging from 10 to 100 generating units for 24 hours scheduling period. Results are validated by performing comparison with previously published research papers. Simulated results achieved by proposed method are found superior to the previously reported algorithms used to solve the unit commitment problem. A Wilcoxon signed rank test for paired samples also proves predominance of the proposed MBDE algorithm.