Miracle-dz/UniFAR-FTUs huggingface dataset:
Acta Polytechnica

Experimental data on the bearing capacity of damaged reinforced concrete beams with the dimensions of 2000 × 200 × 100 mm, reinforced with prestressed metal casings, are presented. Damaging in the form of through normal and crossing inclined cracks, as well as excessive vertical moving of the beam were obtained during previous tests for the effect of high-level transverse alternating loads. The authors of the article have developed a method and equipment for restoring and strengthening damaged reinforced concrete beams using a casing. Beams are manufactured and tested in accordance with the three-level design of an experiment. Previously damaged and reduced to the ultimate (pre-emergency) state, the beams were strengthened with the declared method and equipment, and then retested. New data on the bearing capacity of ordinary and damaged beams, as well as reinforced concrete elements strengthened with casings and tested for the action of transverse forces and bending moments were obtained. The research results are presented in the form of experimental-statistical dependences of the bearing capacity of the support areas, deformability and crack resistance of the investigated elements on the ratio of the most significant design factors and external factors. A comparative analysis of the influence of these factors on the main parameters of the bearing capacity of ordinary as well as previously damaged and then strengthened test beams is carried out. The possibility and appropriateness of using the proposed method of strengthening reinforced concrete beams damaged by through normal and cross-inclined force cracks in the conditions of an existing production has been experimentally proved.
Improved Bounds for Scheduling Flows under Endpoint Capacity Constraints

We study flow scheduling under node capacity constraints. We are given capacitated nodes and an online sequence of jobs, each with a release time and a demand to be routed between two nodes. A schedule specifies which jobs are routed in each step, guaranteeing that the total demand on a node in any step is at most its capacity. A key metric in this scenario is response time: the time between a job's release and its completion. Prior work shows no un-augmented algorithm is competitive for average response time, and that a constant factor competitive ratio is achievable with augmentation exceeding 2 (Dinitz-Moseley Infocom 2020). For maximum response time, the best known result is a 2-competitive algorithm with a augmentation 4 (Jahanjou et al SPAA 2020). We improve these bounds under various response time objectives. We show that, without resource augmentation, the best competitive ratio for maximum response time is $\Omega(n)$, where $n$ is the number of nodes. Our Proportional Allocation algorithm uses $(1+\varepsilon)$ resource augmentation to achieve a $(1/\varepsilon)$-competitive ratio in the setting with general demands and capacities, and splittable jobs. Our Batch Decomposition algorithm is $2$-competitive (resp., optimal) for maximum response time using resource augmentation 2 (resp., 4) in the setting with unit demands and capacities, and unsplittable jobs. We also derive bounds for the simultaneous approximation of average and maximum response time metrics.
EXPERIMENTAL ANALYSIS OF OPEN SOURCE PROJECTS FOR COST ESTIMATION USING DATA PRE-PROCESSING AND LEARNING TECHNIQUES

: To achieve software quality for large systems is very difficult. Developers and testers put a lot of their effort to evaluate the software quality which turns out to be very time consuming process. The software quality can be accessed through fault prediction or cost estimation and many more. Various studies have been carried out for various kinds of prediction processes. In each of which, machine learning techniques are used for prediction purposes. In this research, feature selection and data preprocessing techniques has been carried out. In this Wrapper subset evaluation method has been chosen for attribute selection. After attribute selection process, 10, 20 and 30 % of less complex faulty instances were filtered out form each selected attribute. Later, the resultant datasets were processed against four classifiers: Naïve Bayes, Support Vector Machine, k nearest neighbors and C4.5 Decision trees. Cost estimation against each attribute was calculated. Lastly, the calculated result was compared against the cost estimation of filtering out of less complex instances for LOC and NPM metrics. And through comparison, the research show that the Classifiers based on Wrapper subset evaluation method gave better results than filtering out of less complex instances for LOC and NPM metrics.
Anonymizing Egocentric Videos

In egocentric videos, the face of a wearer capturing the video is never captured. This gives a false sense of security that the wearer’s privacy is preserved while sharing such videos. However, egocentric cameras are typically harnessed to wearer’s head, and hence, also capture wearer’s gait. Recent works have shown that wearer gait signatures can be extracted from egocentric videos, which can be used to determine if two egocentric videos have the same wearer. In a more damaging scenario, one can even recognize a wearer using hand gestures from egocentric videos, or identify a wearer in third person videos such as from a surveillance camera. We believe, this could be a death knell in sharing of egocentric videos, and fatal for egocentric vision research. In this work, we suggest a novel technique to anonymize egocentric videos, which create carefully crafted, but small, and imperceptible optical flow perturbations in an egocentric video’s frames. Importantly, these perturbations do not affect object detection or action/activity recognition from egocentric videos but are strong enough to dis-balance the gait recovery process. In our experiments on benchmark EPIC-Kitchens dataset, the proposed perturbation degrades the wearer recognition performance of [42], from 66.3% to 13.4%, while preserving the activity recognition performance of [10] from 89.6% to 87.4%. To test our anonymization with more wearer recognition techniques, we also developed a stronger, and more generalizable wearer recognition method based on camera egomotion cues. The approach achieves state-ofthe-art (SOTA) performance of 59.67% on EPIC-Kitchens, compared to 55.06% by [42]. However, the accuracy of our recognition technique also drops to 12% using the proposed anonymizing perturbations.
High power λ ~ 8.5 μm quantum cascade laser grown by MOCVD operating continuous-wave up to 408 K

Robust quantum cascade laser (QCL) enduring high temperature continuous-wave (CW) operation is of critical importance for some applications. We report on the realization of lattice-matched InGaAs/InAlAs/InP QCL materials grown by metal-organic chemical vapor deposition (MOCVD). High interface quality structures designed for light emission at 8.5 μm are achieved by optimizing and precise controlling of growth conditions. A CW output power of 1.04 W at 288 K was obtained from a 4 mm-long and 10 μm-wide coated laser. Corresponding maximum wall-plug efficiency and threshold current density were 7.1% and 1.18 kA/cm2, respectively. The device can operate in CW mode up to 408 K with an output power of 160 mW.
A new and improved IceCube point source analysis

The IceCube Neutrino Observatory, a cubic kilometer scale Cherenkov detector deployed in the deep ice at the geographic South Pole, investigates extreme astrophysical phenomena by studying the corresponding high-energy neutrino signal. Its discovery of a diffuse flux of astrophysical neutrinos with energies up to the PeV scale in 2013 has triggered a vast effort to identify the mostly unknown sources of these high energy neutrinos. Here, we present a new IceCube point-source search that improves the accuracy of the statistical analysis, especially at energies of a few TeV and below. The new approach is based on multidimensional kernel density estimation for the probability density functions and new estimators for the observables, namely the reconstructed energy and the estimated angular uncertainty on the reconstructed arrival direction. The more accurate analysis provides an improvement in discovery potential up to ∼30% over previous works for hard spectrum sources.
Four-electrode probe for plasma studies in the GOL-NB multiple-mirror trap

A system of four-electrode Langmuir probes developed for the GOL-NB multiple-mirror trap is discussed. The system is used for studies of a low-temperature start plasma (1019–1020 m-3, 5 eV) that fills the device during the initial phase of the experiment. The probe allows simultaneous measurements of plasma density, electron temperature and radial electric field. The accuracy of the probe measurements is also discussed.
Applying DWT and

_ This manuscript presents, Face recognition by combining different extraction approaches combining PCA (principal Component Analysis), DWT (Discrete wavelet transform neural networks. This method consists of four steps: i) Preprocessing, ii) Dimension reduction using DWT, iii) feature extraction using PCA and iv) classification using neural network. To validate this work, we have tested this technique on frontal images of the ORL and Yale databases.
Network Requirements for Distributed Machine Learning Training in the Cloud

In this thesis, I characterize the impact of network bandwidth on distributed machine learning training. I test four popular machine learning models (ResNet, DenseNet, VGG, and BERT) on an Nvidia A-100 cluster to determine the impact of bursty and non-bursty cross traffic (such as web-search traffic and long-lived flows) on the iteration time and throughput of distributed training. By varying the cross traffic load, I measure the impact of network congestion on training iteration times. I observe that with heavy web-search cross traffic (80% of link capacity), on average training iteration time is increased by up to 4 to 8×, for ResNet and BERT models, respectively. Further, I establish that the ring-all reduce communication collective is negatively impacted by network congestion even if the congestion is only affecting part of the ring. I also develop empirical models for the behavior of machine learning training in the presence of each type of cross traffic deployed. These results provide the motivation for developing novel congestion control protocols that are tailored for distributed training environments. Thesis Supervisor: Manya Ghobadi Title: TIBCO Career Development Assistant Professor of Electrical Engineering and Computer Science
Low Cost Security System With Feedback Control Loop

: Security is one of the grossing topics in today’s market. There are various techniques used and being made to make the system more secure and easy for a person to use. Surveillance along with security systems are really costly in today’s time. We have designed a reasonable system with few sensors and prediction algorithms to get information about any intruder or security break down. It is an IOT based system and uses a server-based on Django. The system also has two-factor authentication and uses the user’s GPS location to disable the system’s outer most security layer for further authentication and correct identification. This system is designed to work in a closed-loop and even gets feedback whenever unlocked. The system is practically implemented and is being further improved for production purposes. It can be used in multiple places like home, offices, banks, schools, etc.
# 1 Referee comment on " Detecting hydrological connectivity using causal inference from time-series : synthetic and real karstic study cases

This paper by Delforge et al. titled “Detecting hydrological connectivity using causal inference from time-series: synthetic and real karstic study cases” uses four causal inference methods to obtain insights on hydrologic connectivity in a karstic site. The authors also use a synthetic case study to obtain a preliminary understanding on the performance of the methods prior to applying them to the real-world case study.
Preparing to Detect Signs of Intrusion

Abstract : It is essential that those responsible for your organization's information systems and networks be adequately prepared to detect evidence of breaches in security when they occur. Without advance preparation, it will be difficult, if not impossible, to determine if an intruder has been present and the extent of the damage caused by the intrusion. Thorough preparation will permit you to detect an intrusion or an intrusion attempt during or soon after it occurs. Preparation involves consideration of your security policy and supporting procedures, your critical business information, your systems, your networks, your user community (internal and external), and the tools to be employed in detecting intrusions. A general security goal is to prevent intrusions. Even if you have sophisticated prevention measures in place, your strategy for detecting intrusions must include preparation. This module is a companion to CMU/SEI-SIM-001, detecting signs of intrusion. The practices contained in this module identify advance preparations you must make to enable you to obtain evidence of an intrusion or an intrusion attempt. They are designed to help you prepare by configuring your data, systems, networks, workstations, tools, and user environments to capture the necessary information for detecting signs of intrusion.
Ultra-fast broadband EMI measurement in time-domain using FFT and periodogram

A novel ultra-fast, broadband time domain EMI measurement system is described Measurements were performed in the 30-1000 MHz range. The signals from the antenna are digitized and processed by a computer in order to obtain fast-Fourier transform (FFT) as well as Welch and Bartlett periodograms. Correction of errors originating from the frequency characteristics of antenna, cable and oscilloscope is made by digital signal processing. With the presented time domain measurement system the measurement time can be reduced by a factor of 10. The results obtained with the described system have been compared with measurements performed with a conventional EMI receiver. Over the whole frequency range from 30 to 1000 MHz the deviations have been below 3 dB.
Investigations on a linear induction machine for railway applications

An asynchronous linear short stator machine with a massive secondary is investigated focusing on the slot geometry and the winding arrangement. An integer slot yoke winding and a fractional slot winding have been chosen since the crossing of phases in the winding overhang should be avoided. Force characteristics and flux density distributions in the air gap show that the integer slot winding yields higher thrust and higher attractive, but lower braking forces.
The molecular characteristics of high-grade 2 gastroenteropancreatic neuroendocrine neoplasms 3 4

3 4 Andreas Venizelos1,2, Hege Elvebakken3,4, Aurel Perren5, Oleksii Nikolaienko1,2, Wei 5 Deng1,2, Inger Marie B. Lothe6, Anne Couvelard7, Geir Olav Hjortland8, Anna Sundlöv9,10, 6 Johanna Svensson11, Harrish Garresori12, Christian Kersten13, Eva Hofsli4,14, Sönke 7 Detlefsen15,16, Merete Krogh17, Halfdan Sorbye2,18,*, Stian Knappskog1,2,* 8 9 1K.G. Jebsen Center for Genome-Directed Cancer Therapy, Department of Clinical Science, University of 10 Bergen, Bergen, Norway. 11 2Department of Oncology, Haukeland University Hospital, Bergen, Norway. 12 3Department of Oncology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway. 13 4Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian 14 University of Science and Technology, Trondheim, Norway. 15 5 Institute of Pathology, University of Bern, Bern, Switzerland. 16 6Department of Pathology, Oslo University Hospital, Oslo, Norway. 17 7Université de Paris, Department of Pathology, Bichat Hospital, AP-HP, Paris, France. 18 8Department of Oncology, Oslo University Hospital, Oslo, Norway. 19 9Departmentt of Oncology, Skåne University Hospital, Lund, Sweden. 20 10Department of Medical Radiation Physics, Lund University, Lund, Sweden. 21 11Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden. 22 12Department of Oncology, Stavanger University Hospital, Norway. 23 13Department of Research, Hospital of Southern Norway, Kristiansand, Norway. 24 14Department of Oncology, St.Olavs Hospital, Trondheim, Norway. 25 15Department of Pathology, Odense University Hospital, Denmark. 26 16Department of Clinical Medicine, Faculty of Health Sciences, University of Southern Denmark, Odense, 27 Denmark. 28 17Department of Oncology, Odense University Hospital, Odense, Denmark. 29 18Department of Clinical Science, University of Bergen, Bergen, Norway. 30 31 *Shared last authorship 32 33 Correspondence to: 34 Stian Knappskog, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway. Tel: (+47) 35 55976447; E-mail: stian.knappskog@uib.no 36 Halfdan Sorbye, Department of Oncology, Haukeland University Hospital Bergen, 5021 Bergen, Norway. Tel: 37 (+47) 55973598; E-mail: halfdan.sorbye@helse-bergen.no Page 1 of 65 Accepted Manuscript published as ERC-21-0152.R1. Accepted for publication: 14-Oct-2021
A novel partial reconfiguration methodology for FPGAs of multichip systems

A number of SRAM-based field programmable gate arrays (FPGAs) allow for partial reconfiguration (PR). Partial reconfiguration can be used to maximize the resource utilization in these FPGAs. Any large design usually consists of many modular features that are never used all concurrently. An FPGA does not need to implement all these features at the same time provided that it can be reconfigured in a reasonable amount of time to implement the features that can be used simultaneously. The use of partial reconfiguration is ideal in this case, since it allows for just the features that are no longer needed to be replaced by the newly required features. Current methodologies use both external and self partial reconfiguration for this purpose. On mature multichip (MC) systems that have not made use of the PR features of their SRAM-based FPGA(s), however, these methodologies would require changes in the existing FPGA configuration protocol and/or associated hardware outside the array. This thesis presents a novel methodology that makes PR features available to these systems for the purpose of maximizing their FPGA resources without the modifications required by the current methodologies. The proposed methodology reuses an existing data interface to send the PR data to the array and directs this data to the FPGA’s internal configuration port. A prototype of this methodology is demonstrated on a commercial color space conversion (CSC) engine design using two Xilinx Virtex-II Pro FPGAs. In addition, the effectiveness of the proposed methodology is quantified by comparing the FPGA resource utilization of the original CSC engine design and that of the partial reconfigurable prototype above. Finally, since the application of partial reconfiguration inherently adds latency to the output of any design, the effects of the proposed methodology on the performance of the CSC engine are also studied and reported. This information will show that reconfiguring and loading the prototyped CSC engine in addition to processing a full image in it takes 683ms, which is within the target of one second.
Manipulation of magnetic particles on chip by magnetophoretic actuation and dielectrophoretic levitation

The prospect of using magnetic particles for biomedical purposes in lab-on-a-chip systems compels accurate and flexible particle manipulation. Toward such a goal we designed a microdevice comprising a pair of meander-shaped current carrying conductors, which enable simultaneous magnetophoresis and dielectrophoresis by generating both a traveling magnetic field and an ac electric field. Therefore, both the in-plane and out-of-plane movements of magnetic particles can be electrically controlled. A transport speed of tens of μm∕s was achieved with actuation forces at piconewton scale. The enhanced control of particle movement avoids the contact and nonspecific adhesion between the particle and device.
Physical activity and health: Findings from Finnish monozygotic twin pairs discordant for physical activity

Genetic and early environmental differences including early health habits associate with future health. To provide insight on the causal nature of these associations, monozygotic (MZ) twin pairs discordant for health habits provide an interesting natural experiment. Twin pairs discordant for leisure‐time physical activity (LTPA) in early adult life is thus a powerful study design to investigate the associations between long‐term LTPA and indicators of health and wellbeing. We have identified 17 LTPA discordant twin pairs from two Finnish twin cohorts and summarize key findings of these studies in this paper. The carefully characterized rare long‐term LTPA discordant MZ twin pairs have participated in multi‐dimensional clinical examinations. Key findings highlight that compared with less active twins in such MZ twin pairs, the twins with higher long‐term LTPA have higher physical fitness, reduced body fat, reduced visceral fat, reduced liver fat, increased lumen diameters of conduit arteries to the lower limbs, increased bone mineral density in loaded bone areas, and an increased number of large high‐density lipoprotein particles. The findings increase our understanding on the possible site‐specific and system‐level effects of long‐term LTPA.
TOC-based performance measures and five focusing steps in a job-shop manufacturing environment

Theory of constraints (TOC) views a company as a set of interdependent processes working in harmony to achieve the profit goal of the company as a whole, and thus it emphasizes total system performance over localized measures to guide operational decisions. This paper demonstrates the usefulness of employing TOCbased global performance measures to make operational-decisions (e.g. product mix, continuous improvement, inventory management, production planning and scheduling) to strengthen the internal supply chain in a relatively complex manufacturing environment, i.e. a job shop. An ARENA-based simulation model is presented and a number of scenarios are discussed that provide insights regarding the characteristic features of TOC, such as goals and necessary conditions, performance measures, five-focusing steps for continuous improvement, and drumbuffer-rope scheduling. These insights will assist managers in making important decisions regarding approaches to successful TOC implementations, and will provide academics with a broad range of future research opportunities.
Elevated Monocytic Interleukin-8 Expression under Intermittent Hypoxia Condition and in Obstructive Sleep Apnea Patients

Obstructive sleep apnea (OSA) is a disease with great cardiovascular risk. Interleukin-8 (IL-8), an important chemokine for monocyte chemotactic migration, was studied under intermittent hypoxia condition and in OSA patients. Monocytic THP-1 cells were used to investigate the effect of intermittent hypoxia on the regulation of IL-8 by an intermittent hypoxic culture system. The secreted protein and mRNA levels were studied by means of enzyme-linked immunosorbent assay and RT/real-time PCR. The chemotactic migration of monocytes toward a conditioned medium containing IL-8 was performed by means of the transwell filter migration assay. Peripheral venous blood was collected from 31 adult OSA patients and RNA was extracted from the monocytes for the analysis of IL-8 expression. The result revealed that intermittent hypoxia enhanced the monocytic THP-1 cells to actively express IL-8 at both the secreted protein and mRNA levels, which subsequently increased the migration ability of monocytes toward IL-8. The ERK, PI3K and PKC pathways were demonstrated to contribute to the activation of IL-8 expression by intermittent hypoxia. In addition, increased monocytic IL-8 expression was found in OSA patients, with disease severity dependence and diurnal changes. This study concluded the monocytic IL-8 gene expression can be activated by intermittent hypoxia and increased in OSA patients.