Miracle-dz/UniFAR-FTUs huggingface dataset:
Smooth Migration of CERN Post Mortem Service to a Horizontally Scalable Service

The Post Mortem service for the CERN accelerator complex stores and analyses transient data recordings of various equipment systems following certain events, like a beam dump or magnet quenches. The main purpose of this framework is to provide fast and reliable diagnostic to the equipment experts and operation crews to help them decide whether accelerator operation can continue safely or whether an intervention is required. While the Post Mortem System was initially designed to serve the CERN Large Hadron Collider (LHC), its scope has been rapidly extended to include as well External Post Operational Checks and Injection Quality Checks in the LHC and its injector complex. These new use cases impose more stringent timeconstraints on the storage and analysis of data, calling for a migration of the system towards better scalability in terms of storage capacity as well as I/O throughput. This paper presents an overview of the current service, the ongoing investigations and plans towards a scalable data storage solution and API, as well as the proposed strategy to ensure an entirely smooth transition for the current Post Mortem users.
Optical properties of Spectralon assessed by replication of literature data in Monte Carlo simulations

Diffuse reflectance spectroscopy is a popular technique for characterization of optically scattering materials and structures, including biological tissues and organs. In order to compensate for spectral properties of the incident light and/or detection setup, such measurements regularly involve a suitable reference sample, most often made from material with high reflectance throughout the included spectral region, aka. white standards (WS). It is therefore quite surprising that the absorption and reduced scattering coefficient for Spectralon, a very popular WS material for visible and NIR region (by Labsphere, North Sutton, NH), can not be found in literature. In the only report that we could find, they were estimated only for wavelengths above 600 nm. Moreover, the analysis was based on measurements performed on rather small samples and analytical predictions derived within the diffuse approximation of light transport, which raised some concerns about its accuracy. We have therefore performed dedicated Monte Carlo simulations of the relevant optical measurements on Spectralon samples reported in literature, i.e., the total reflectance as a function of the sample thickness and angular dependence of the diffuse reflectance at different wavelengths in visible and NIR. By varying the input properties until the model predictions matched the experimental data as well as possible, we could estimate the optical properties of Spectralon between 400 and 1100 nm. For the wavelength of 555 nm, e.g., our results indicate an absorption coefficient of 0.7 . 10–4 mm–1 and reduced scattering coefficient of 32 mm–1.
COTS Circuit Predicting Coil Zero-Current Crossing for Early Thyristor Triggering in a Fast, High-Power Magnetic Generator

Abstract This paper describes the design and construction of a zero-current crossing detection circuit for a high-power (6000 A, 650 V) magnetic generator delivering short (340 μs), high-intensity (2 Tesla) pulses, used to stimulate living tissues. The magnetic pulses are produced by discharging a capacitor Cd into a coil in resonant mode. Half-sine or full-sine wave-forms may be selected. When full-sine current into the coil is selected, a smooth transition between the 2 half-sines is required to ensure continuity in tissue excitation, i.e. the second thyristor must be triggered shortly before the first one switches off. The operating theory is to compute the period of the resonant circuit in advance, irrespective of interchangeable coil inductance and damping factors. The system core consists of a toroid sensor encircling the high-current main wire of the coil and an integrator circuit that is switched on or off by three events: the starting time and zero-crossing time of the sensor voltage and the zero-crossing time of the potential across Cd. This makes it possible to detect the pulse period right from the end of the first quarter period. Details of the robust COTS (commercial off-the-shelf) electronic design are given. Electric tests fully validated this design. The final section discusses the results and possible improvements.
Using camera state transforms for commuter network visualization

We present a novel approach for visualizing commuter networks, i.e., directed graphs whose nodes (cities and towns) each have a geographic location, and whose edges each have a direction and an associated number of commuters moving between two nodes. Our approach involves using camera state transforms that map the current camera state (position and orientation) to various rendering parameters to achieve a hybrid 2D-3D visualization. As the camera’s angle and distance change, the shapes and transparency levels of nodes and edges morph in response, allowing for a smooth transition between a 2D view (from above) to a 3D view (from the side) that reveals information in different ways.
Dual-stack lite broadband deployments post IPv4 exhaustion

The common thinking for more than 10 years has been that the transition to IPv6 will be based on the dual stack model and that most things would be converted this way before we ran out of IPv4. It has not happened. The IANA free pool of IPv4 addresses will be depleted soon, well before any significant IPv6 deployment will have occurred. This document revisits the dual-stack model and introduces the dual- stack lite technology aimed at better aligning the costs and benefits of deploying IPv6. Dual-stack lite will provide the necessary bridge between the two protocols, offering an evolution path of the Internet post IANA IPv4 depletion.
Capability Approach to Skill: Bridging the Disciplinary Differentials over Conceptualizing Skill

The 21st-century social science calls for trans-disciplinary perspectives. In an attempt to address this call, this paper offers a trans-disciplinary take on the concept of skill. The author delves into understanding the concept skill and explores its conceptualization across disciplines economics, sociology, and psychology. In so doing, literature review over this concept suggested that there currently exists disciplinary differentials over the concerned idea. Further, the author offers the capability approach as an alternative to understand and define skill. While skill gets explained from the economic, sociological, and psychological fields, the persistent disciplinary differentials make the conception of skill fuzzy. The author argues that the capability approach potentially bridges the disciplinary segmentation over the concept skill.
The design and development of a high perfomance BI-directional inverter for photovoltaic application

Multilevel voltage source inverter (VSI) has been recognized to be very attractive in high voltage dc to ac conversion. It offers several advantages compared to the conventional two-level inverter, namely reduced switching losses and better harmonic performance. This work proposed a new switching strategy for a particular multilevel topology, known as the modular structured multilevel inverter (MSMI). The proposed scheme is based on symmetric regular sampled unipolar PWM technique. Unlike other techniques proposed by other researchers, this method uses multiple modulating waveform with a single carrier. Mathematical equations that define the PWM switching instants is derived. The derived equations are verified by computer simulation. To justify the merits of the proposed modulation scheme, prediction on the output voltage harmonics using Fourier analysis is carried out. An experimental five-level MSMI test-rig is built to implement the proposed algorithm. Using this set-up, it was found that the derived equations could be easily implemented by a low-cost fixed-point microcontroller. Several tests to quantify the performance of the inverter under the proposed modulation scheme is carried out. The results obtained from these tests agree well with theoretical prediction. (Keywords: inverter, power electronics, pulse-width modulation, multilevel).
Krupaseep?The Next Generation Seepage Meter

jffffff KRUPA, S.L. ; BELANGER, T.V. ; HECK, H.H. ; BROCK, J.T. , and JONES, B.J., 1998. Krupaseep-The Next Gener ation Seepage Meter. Journal of Coastal Research, SI(26), 210-213. Royal Palm Beach (Florida), ISSN 0749-0208. ^M_^%* We designed, built and tested a new kind of seepage metering device to study the exchange of ground water and river ^2^5^S^5^ water at the bottom of streams and lakes. The dome-shaped seepage meter is fabricated from translucent polycar ^S^SS^^S^ bonate plastic. A flow meter, installed in a port at the apex of the dome, utilizes heat-pulse technology to measure ^^^^^^ real-time fluxes. Electronic data loggers record the flow, as well as water quality data, obtained by sensors located both inside and outside of the dome. Additionally, water quality samples are remotely extracted from inside and outside the dome for laboratory analysis. All real-time data is captured by on-shore computers. The new design eliminates problems such as induced anaerobic conditions and methane accumulation, which are inherent to the traditional, low-tech devices commonly used today. The data are quite promising and will allow, for the first time, a clear understanding of interactions between ground water and surface water, with an emphasis on water quality.
Strategy for assessment of distribution transformer lifetime under EV scenarios

The lifetime of distribution transformers is of concern due to the potential overloading and overheating caused by the uptake of more Electric Vehicles (EVs) in the low voltage electricity network. The lifetime of a transformer is predominately impacted by the hot-spot temperature, which can be obtained by thermal modelling. Thermal parameters are essential for implementing thermal modelling and, as explained in standards and literature, they can be derived from heat run test results. However, it is a common case that transformers already in operation do not have heat run test results. Therefore, in this paper, a method is proposed to assess the thermal performance and lifetime of a group of transformers with furan data obtained from the oil test and load data. Basically, parameters of the simplified IEC thermal model are estimated from hot-spot temperature and load data, whilst the hot-spot temperature is derived from the furan data. With this method, the transformer population can be grouped according to the rated hot-spot rise that best fits a transformer’s furan-load pattern, and those transformers with relatively poor thermal characteristics can be identified.
The role of viscoelasticity in long-time cell rearrangement

Although collective cell migration (CCM) is a highly coordinated and ordered migratory mode, perturbations in the form of mechanical waves appear even in 2D. These perturbations caused by the viscoelastic nature of cell rearrangement are involved in various biological processes, such as embryogenesis, wound healing and cancer invasion. The mechanical waves, as a product of the active turbulence occurred at low Reynolds number, represent an oscillatory change in cell velocity and the relevant rheological parameters. The velocity oscillations, in the form of forward and backward flows, are driven by: viscoelastic force, surface tension force, and traction force. The viscoelastic force represents a consequence of inhomogeneous distribution of cell residual stress accumulated during CCM. This cause-consequence relation is considered on a model system such as the cell monolayer free expansion. The collision of forward and backward flows causes an increase in cell packing density which has a feedback impact on the tissue viscoelasticity and on that base influences the tissue stiffness. The evidence of how the tissue stiffness is changed near the cell jamming is conflicting. To fill this gap, we discussed the density driven change in the tissue viscoelasticity by accounting for the cell pseudo-phase transition from active (contractile) to passive (non-contractile) state appeared near cell jamming in the rheological modeling consideration.
Régulation temporelle de l'activité de cavitation ultrasonore : application à la thrombolyse ultrasonore extracorporelle

Les ultrasons focalisés permettent de détruire des caillots sanguins en exploitant notamment les effets mécaniques associés à la cavitation acoustique, dont le caractère fortement aléatoire reste un obstacle à l’élaboration d’un dispositif thérapeutique. Un meilleur contrôle de l’activité de cavitation est donc nécessaire pour le développement d’une telle application. Un système permettant le contrôle temporel de la cavitation en régime pulsé a donc été développé. Ce système utilise un transducteur focalisé, un hydrophone et une boucle de rétroaction, réalisée à l’aide d’un FPGA, pour réguler l’activité de cavitation. Ce dispositif de régulation a été caractérisé dans une cuve d’eau dégazée, et permet d’atteindre un niveau de cavitation souhaité à 4 % près. L’application de ce dispositif à la thrombolyse a été testée in-vitro sur un modèle de caillots humains. Les essais en boucle fermée ont montré une forte amélioration de l’efficacité thrombolytique et de la reproductibilité par rapport aux essais en boucle ouverte.
Strategies for Generating Footsteps of Biped Robots in Narrow Sight

In this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and directions. This information was used to determine the position and direction of the foot to which the robot should go. Existing A*-based footstep planners require a global map to reach the goal from the start and do not generate a path if there is no solution to the goal due to completeness of A*. In addition, if the map is not updated while moving the path, it is vulnerable to changes in the object position. Our strategy calculates the footsteps that the robot can walk in a limited camera area without securing a global map. In addition, it updates the local map information every walking step so that it quickly recognizes nearby objects and finds a path that can move. While the robot is walking, objects may not be detected due to the narrow camera field of view. In addition, even if an area for the robot to land is found, a situation in which the robot’s legs collide may occur. We present a strategy to solve this problem using previous landing data. In the experimental environment composed of several patterns, the performance was verified by stably walking on the blocks without collision between the robot’s legs.
A Load Balancing Approach to Minimize the Resource Wastage in Cloud Computing

Cloud computing is emerging as a new paradigm for the IT industries and it become so popular in a very short time. Virtualization is one of the core technologies in the cloud and enables the provider to deploy infrastructure services in cloud environment. Cloud provides the computing resources to the client as a service in the form of VM. VM is the logical entity which is similar to the PM and executing the user application. As the demands for the computing resources is increasing, proper resource consumption of the physical resources main challenge for the service provider. Since cloud resources are communal by the numerous users and the demands for the resources is change frequently, so there is a requirement for a valuable load balancing method that enlarge the resource utilization and amplify cloud services the performance. In the past few decades, various load balancing method have been proposed. These all methods use the VM migration approach for balance the load on the PM. Since cloud consist of several type resources i.e., CPU, memory and bandwidth, so if one type resource is utilize more than other resource will be wastage. This resource wastes diminish the resource utilization. This paper proposed a load balancing approach that amplify the physical resource utilization and curtail the energy consumption. To calculate the performance of the proposed approach it is compare with the existing load balancing approach and judge against the number of migration, energy consumption. CloudSim simulator is use as a simulation tool to create the cloud environment. Experiment results say that proposed approach gives better result as compare to the existing load balancing method.
An Efficient Approach for Peak-Load-Aware Scheduling of Energy-Intensive Tasks in the Context of a Public IEEE Challenge

The shift towards renewable energy and decreasing battery prices have led to numerous installations of PV and battery systems in industrial and public buildings. Furthermore, the fluctuation of energy costs is increasing since energy sources based on solar and wind power depend on the weather situation. In order to reduce energy costs, it is necessary to plan energy-hungry activities while taking into account private PV production, battery capacity, and energy market prices. This problem was posed in the 2021 “IEEE-CIS Technical Challenge on Predict + Optimize for Renewable Energy Scheduling”. The target was to solve the two subtasks of forecasting the base load and of computing an optimal schedule of a list of energy intensive activities with inter-dependencies. We describe our approach to this challenge, which resulted in the third place of the leaderboard. For the prediction of the base load, we use a combination of a statistical and a machine learning approach. For the optimization of schedules, we employ a tuned mixed integer linear programming approach. We present a detailed experimental evaluation of the proposed approach on the use case and data provided in the challenge.
Analisis Beban Pendinginan Produk Makanan Menggunakan Cold Box Mesin Pendingin LUCAS NULLE TYPE RCC2

Refrigeration machines have become an important necessity in modern society’s lifestyle. To optimize the use of a refrigeration machine, the cooling capacity of the refrigeration machine must conform to the heat load to be tackled. This research was aimed at analysing the cooling loads of several food products, that are eggplants, cucumbers, tomatoes, and beer by using the cold box of Lucas Nulle Type RCC2 refrigeration machine in Mechanical Engineering Laboratory of Sam Ratulangi University. The required data in this research were the mass and temperature of the food products, and also the electrical current. The value of each data was obtained from three time experiments where each experiment was conducted in 60 minutes. Data analysis, then, resulted the cooling loads and required power of each food product, as follows: for eggplants, the cooling load is 62.91 kJ with power of 241.23 Watt; cucumbers, cooling load 41.55 kJ, power 243.10 Watt; tomatoes, cooling load 60,36 kJ, power 235,62 Watt; and beer, cooling load 18,21 kJ, power 231,88 Watt. key word: cooling load, Refrigeration machines , LUCAS NULLE TYPE RCC 2
A Comparative Investigation of the Rasch/Guttman Scenario Approach: Measuring Learning Motivation Toward Mathematics in Elementary School

The Rasch/Guttman scenario (RGS) measurement approach is a promising test development methodology. The purpose of this study is to compare the RGS measure of primary school students’ motivation against more traditional self-report scales. The Scenario Scale of Extrinsic Motivation toward Math (SSEM-M) and its traditional counterpart were developed. The sample consisted of 1,299 primary school students. Both measures demonstrated solid psychometric properties and sound evidence of validity. The comparative part of the research revealed notable differences in scores and factor structure. Scenario item composition appears to provide a slightly better motivation measurement than traditional composition. Further research considering response style and social desirability effects may be of interest.
International Journal of Indigenous Herbs and Drugs An updated review on microspheres: a suitable drug carrier in sustained release drug delivery

With advances in biotechnology, genomics, and combinatorial chemistry, a wide variety of new, more potent and specific therapeutics are being created. Because of common problems such as low solubility, high potency, and/or poor stability of many of these new drugs, the means of drug delivery can impact efficacy and potential for commercialization as much as the nature of the drug itself. Thus, there is a corresponding need for safer and more effective methods and devices for drug delivery. Microspheres having particle size in range between 0.1-200 µm, can be delivered by several routes like oral, parenteral, nasal, ophthalmic, transdermal, colonal etc. In future by combining various new strategies, microspheres will find a central place in novel drug delivery, particularly in diseased cell sorting, genetic materials, safe, targeting and effective drug delivery.
Ambiguous Signals and Information Asymmetry in the Initial Public Offering Process: Examining Ownership Concentration, Process Time, and Underpricing

Initial public offerings (IPOs) represent an important stage of development for many firms as they try to gain access to the resources needed for growth and development. Due to the information asymmetry that accompanies the process, there is extensive research examining what factors might signal quality to potential investors such that the IPO might be more optimally valuated and priced. Herein, we hypothesize and empirically explore how a mixed or ambiguous signal about a firm—the signal of ownership concentration in this case—might be overcome with more opportunities for information disclosure and, thus, lessen underpricing; IPO stocks tend to be underpriced (i.e., the offer price of a stock is lower than the inherent market value), which means that owner’s “leave money on the table. ” Using a generalized structural equation model of data on 601 U.S. IPO firms, we find support for our model by demonstrating that longer IPO process times (i.e., days from the IPO firm’s filing date to the actual issue date)—representing opportunities to disclose and disseminate information—act as a mediator between ownership concentration and underpricing. Further, we show that the age of the firm also influences this process model arguing that more historical data and other information is more readily available to the potential investor with increased firm age. Overall, our study contributes to the literature by demonstrating how more disclosure and dissemination of relevant information might reduce asymmetries associated with more ambiguous or difficult-to-interpret signals and improve outcomes.