Miracle-dz/UniFAR-FTUs huggingface dataset:
TLB;DR: Enhancing TLB-based Attacks with TLB Desynchronized Reverse Engineering

Translation Lookaside Buffers, or TLBs, play a vital role in recent microarchitectural attacks. However, unlike CPU caches, we know very little about the exact operation of these essential microarchitectural components. In this paper, we introduce TLB desynchronization as a novel technique for reverse engineering TLB behavior from software. Unlike previous efforts that rely on timing or performance counters, our technique relies on fundamental properties of TLBs, enabling precise and ﬁne-grained experiments. We use desynchronization to shed new light on TLB behavior, examining previously undoc-umented features such as replacement policies and handling of PCIDs on commodity Intel processors. We also show that such knowledge allows for more and better attacks. Our results reveal a novel replacement policy on the L2 TLB of modern Intel CPUs as well as behavior indicative of a PCID cache. We use our new insights to design adversarial access patterns that massage the TLB state into evicting a target entry in the minimum number of steps, then examine their impact on several classes of prior TLB-based attacks. Our ﬁndings enable practical side channels à la TLBleed over L2, with much ﬁner spatial discrimination and at a sampling rate comparable to L1, as well as an even ﬁner-grained variant that targets both levels. We also show substantial speed gains for other classes of attacks that rely on TLB eviction.
Vectorized dataset of roadside noise barriers in China using street view imagery

Abstract. Roadside noise barriers (RNBs) are important urban infrastructures to ensure that cities remain liveable. However, the absence of accurate and large-scale geospatial data on RNBs has impeded the increasing progress of rational urban planning, sustainable cities, and healthy environments. To address this problem, this study creates a vectorized RNB dataset in China using street view imagery and a geospatial artificial intelligence framework. First, intensive sampling is performed on the road network of each city based on OpenStreetMap, which is used as the georeference for downloading 6×106 Baidu Street View (BSV) images. Furthermore, considering the prior geographic knowledge contained in street view images, convolutional neural networks incorporating image context information (IC-CNNs) based on an ensemble learning strategy are developed to detect RNBs from the BSV images. The RNB dataset presented by polylines is generated based on the identified RNB locations, with a total length of 2667.02 km in 222 cities. Last, the quality of the RNB dataset is evaluated from two perspectives, i.e., the detection accuracy and the completeness and positional accuracy. Specifically, based on a set of randomly selected samples containing 10 000 BSV images, four quantitative metrics are calculated, with an overall accuracy of 98.61 %, recall of 87.14 %, precision of 76.44 %, and F1 score of 81.44 %. A total length of 254.45 km of roads in different cities are manually surveyed using BSV images to evaluate the mileage deviation and overlap level between the generated and surveyed RNBs. The root mean squared error for the mileage deviation is 0.08 km, and the intersection over union for overlay level is 88.08 % ± 2.95 %. The evaluation results suggest that the generated RNB dataset is of high quality and can be applied as an accurate and reliable dataset for a variety of large-scale urban studies, such as estimating the regional solar photovoltaic potential, developing 3D urban models, and designing rational urban layouts. Besides that, the benchmark dataset of the labeled BSV images can also support more work on RNB detection, such as developing more advanced deep learning algorithms, fine-tuning the existing computer vision models, and analyzing geospatial scenes in BSV. The generated vectorized RNB dataset and the benchmark dataset of labeled BSV imagery are publicly available at https://doi.org/10.11888/Others.tpdc. 271914 (Chen, 2021).
Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge

Recent deep learning approaches have shown remarkable promise to enable high fidelity holographic displays. However, lightweight wearable display devices cannot afford the computation demand and energy consumption for hologram generation due to the limited onboard compute capability and battery life. On the other hand, if the computation is conducted entirely remotely on a cloud server, transmitting lossless hologram data is not only challenging but also result in prohibitively high latency and storage. In this work, by distributing the computation and optimizing the transmission, we propose the first framework that jointly generates and compresses high-quality phase-only holograms. Specifically, our framework asymmetrically separates the hologram generation process into high-compute remote encoding (on the server), and low-compute decoding (on the edge) stages. Our encoding enables light weight latent space data, thus faster and efficient transmission to the edge device. With our framework, we observed a reduction of 76% computation and consequently 83% in energy cost on edge devices, compared to the existing hologram generation methods. Our framework is robust to transmission and decoding errors, and approach high image fidelity for as low as 2 bits-per-pixel, and further reduced average bit-rates and decoding time for holographic videos.
SIMULATOR FIDELITY CONSIDERATIONS FOR TRAINING AND EVALUATION OF TODAY'S AIRLINE PILOTS

Regulatory changes in response to today’s airline pilot training and evaluation needs push the twin issues of effectiveness and affordability of flight simulators for use by U.S. airlines to the forefront. The Federal Aviation Administration (FAA) is sponsoring two research programs with high pay-off potential in this area, namely, platform motion and realistic radio communications. This paper describes the rationale and the initial results of this work. TODAY’S AIRLINE ENVIRONMENT Managers of airline pilot training programs today are increasingly being faced with some unprecedented challenges. Of these, changing demographics in the available new-hire population is clearly the most prominent. Many of the nation's largest airlines have found it necessary to dramatically decrease their entrylevel requirements in terms of flight hours and prior experience. This in turn has placed even greater pressure on smaller airlines, where entry levels have been lowered to bare minimums, while turnover among pilots leaving for positions with major airlines is at an all time high. All of this is occurring in a backdrop of increased congestion within the National Aerospace System (NAS), associated short-term strategies (such as Land and Hold Short) to manage capacity, the acquisition of newer aircraft with increasingly automated cockpit systems, the merging of airlines which may differ in their operating procedures and their corporate cultures, and near term plans for new ways of operating within the NAS, such as free flight, and Air Traffic Control (ATC) data link.
Development of a bootstrap-model for determining the release of medicinal preparations in the human organism

We developed a bootstrap-model for evaluating the release kinetics of medicines in the organism and its computer realization. The model is based on the interpolation of experimental data for the release at pH 1.2; 4.5 and 6.8 by the linear and cubic splines and the use in the simulation of dissolution in the organism by passing the zones with the indicated pH values. The profile of the release is considered to be a random process, realized in separate points of time. In order to perform the bootstrap-simulation of a pseudo-profile of the release in the organism, we generated a spline-pseudo-profile of dissolution at pH 1.2 (imitation of stomach); by using it, we determined mass of the released preparation in 2 hours. Employing the data obtained, we built a spline-pseudo-profile of dissolution at pH 4.5 (duodenum), which matches a residual amount of the preparation. Next, in a similar way, we constructed a spline-pseudo-profile, corresponding to a residual quantity of the preparation, and determined the release at pH 6.8 (small intestine). The method devised is demonstrated on the example of the simulation of the release kinetics of the preparation Trizipin Long in the organism based on results of the release kinetics in vitro. The model makes it possible to estimate the mean profile, spread and confidence interval of the release. It is established according to results of the simulation that the release of the preparation Trizipin Long from a tablet of mass 1000 mg in the organism in 14 hours makes up on average 870 mg and, with a probability of 0.95, could be within the range from 788 to 946 mg. The advantage of the developed approach is its universality, as the method is not linked to any particular physical model of the dissolution and the release.
Volitional brain regulation is related to improvements in affective characteristics of adolescents with autism spectrum disorder

Intro: Even though emotions often play a role in neurofeedback (NF) regulation strategies, investigations of the relationship between the induced neuronal changes and improvements in affective domains are scare in electroencephalography-based studies. We thus extend the findings of the first study on slow cortical potential (SCP) NF in autism spectrum disorder (ASD) (Konicar, et al., 2021; NeuroImage: Clinical) by relating affective changes to whole-brain activity at rest and during regulation. Methods: Forty-one male adolescents with ASD were scanned at rest using functional magnetic resonance imaging before and after half of them underwent NF training and half received treatment as usual. Furthermore, parents reported on affective characteristics at both times. The NF group had to alternatingly produce negative and positive SCP shifts (increase and decrease cortical excitability) during training and was additionally scanned while applying their developed regulation strategies. Results: We found increases of resting activity in the anterior cingulate cortex and right inferior temporal gyrus as well as improvements in affective characteristics over both groups. Activation corresponding to SCP differentiation (difference of the activations caused by applying the strategies to produce negative and positive SCP shifts) in these regions correlated with the affective improvements. A further correlation was found for Rolandic operculum activation corresponding to positive SCP shifts. However, there were no significant correlations with the respective achieved SCP regulation during NF training. Conclusion: SCP NF in ASD did not lead to superior improvements in neuronal or affective functioning compared to treatment as usual. However, the affective changes might be related to the individual regulation strategies as indicated by significant correlations to brain activation during the transfer run but not the achieved SCP regulation. Our study further corroborates the importance of the ACC and ITG as well as of affective functioning for the treatment of ASD.
Endline Assessment of a Community-Based Program on Hypertension and Diabetes Management in Brazil

Abstract Background: Brazil HealthRise community-based program focused on improving technologies for care coordination, developing the local workforce, and identifying and educating individuals with hypertension and diabetes. Objectives: To assess the impact of HealthRise on hypertension and diabetes management among patients in the region of Teofilo Otoni (TO) and in the city of Vitoria da Conquista (VC). Methods: Grantees routinely collected patient-level clinical in intervention areas from March 2017 to December 2018; endline qualitative interviews were conducted with patients, providers, administrators, and policymakers in both intervention and comparison sites. Paired t-tests were employed to measure the potential impact of the program on reducing systolic blood pressure (SBP) and hemoglobin A1c (HbA1c) between baseline and endline, and on increasing the percentage of enrollees meeting clinical targets (SBP < 140 mmHg for hypertension; < 8% HbA1c for diabetes). We analyzed qualitative data using thematic coding. Results: Across sites, 2,764 hypertension patients and 244 diabetes patients were followed through endline. Participants experienced reductions in SBP in TO (-1.9 mmHg [-3.1;-0.7]) and VC (-4,2 mmHg [-5.2;-3.1]); more hypertension patients met treatment targets in these locations (TO: +3.9 percentage-points [0.4;7.2]; VC: +10.5 percentage-points [7.81;13.2]) by endline. HbA1c decreased in TO (-0.6 [-0.9;-0.4]) and VC (-0.9 [-1.4;-0.5]), and more individuals presented HbA1c < 8% by endline (TO: +10.2 percentage-points [3.8, 16.6]; VC: +25 percentage-points [12.2, 37.8]). Qualitative data pointed to overall enthusiasm for new technologies and care routine implemented by HealthRise, but challenges regarding program implementation, integration with other levels of care, and social determinants of health persisted. Conclusions: Program showed positive effects on hypertension and diabetes outcomes. Community-based health interventions can help bridge healthcare gaps, but their full impact will remain limited until multisectoral policies and actions address underlying structural and social determinants of health more effectively.
Research progress of application of artificial floating beds technology

As a new ecological rehabilitation technology,artificial floating beds have been successfully used in the restoration of eutrophic water bodies.With the advantage of land and energy saving,low cost and simple management,the technology has gained more and more applications in contaminated surface water remediation and sewage treatment.Artificial floating beds remove contaminants from water by the combined action of macrophytes,microbes and aquatic animals.Limited by the growth speed of plants,the purification capacity of the technology is poor.And there are some other problems in the application of the technology,for example,the limited application conditions.By screening excellent plants,cutting plants,combining it with biological contact oxidation and immobilized nitrogen cycling bacteria,augmenting aquatic animals,the purification ability of the floating beds can be improved.The coupling of plants,microbes and aquatic animals,the biofilm characteristics of the systerm and the formulation of relevant standard have not been studied in detail,which are the emphasis and direction for future studies.
Virtual testing of AMB supported rotor-system

Active magnetic bearings offer many advantages that have brought new applications to the industry. However, similarly to all new technology, active magnetic bearings also have downsides, and one of those is the low standardization level. This paper studies ISO 14839 and API 617 standards and more specifically the system verification using simulation methods. These verifying methods are conducted for a designed active magnetic bearings supported rotor system. The system is simulated using a rotor-bearing dynamics research toolbox in MATLAB that is using conventional finite element method to describe the virtual model. The studied verification methods include steady state unbalance response analysis, stability margin analysis, and transient simulation of a drop down of the rotor on safety bearings. This study shows that the standardized methods can be applied in practical problems using simulation tools.
Thinking beyond the contract: A journey to collaborative community social work

Social workers from two different Wellington-based community service providers, Newtown Union Health Service (NUHS) and St Vincent de Paul (SVDP) Wellington Area discuss their organisations and how they worked together to build an award-winning practice model in their community. Their reflection on their work raises important questions regarding our responsibilities and options to meet client needs in a heavily contracted funding environment and presents the learnings and challenges of their collaboration.
A Framework for Tumor Localization in Robot-Assisted Minimally Invasive Surgery

Manual palpation of tissue is frequently used in open surgery, e.g., for localization of tumors and buried vessels and for tissue characterization. The overall objective of this work is to explore how tissue palpation can be performed in Robot-Assisted Minimally Invasive Surgery (RAMIS) using laparoscopic instruments conventionally used in RAMIS. This thesis presents a framework where a surgical tool is moved teleoperatively in a manner analogous to the repetitive pressing motion of a finger during manual palpation. We interpret the changes in parameters due to this motion such as the applied force and the resulting indentation depth to accurately determine the variation in tissue stiffness. This approach requires the sensorization of the laparoscopic tool for force sensing. In our work, we have used a da Vinci R © needle driver which has been sensorized in our lab at CSTAR for force sensing using Fiber Bragg Grating (FBG). A computer vision algorithm has been developed for 3D surgical tool-tip tracking using the da Vinci R ©’s stereo endoscope. This enables us to measure changes in surface indentation resulting from pressing the needle driver on the tissue. The proposed palpation framework is based on the hypothesis that the indentation depth is inversely proportional to the tissue stiffness when a constant pressing force is applied. This was validated in a telemanipulated setup using the da Vinci R © surgical system with a phantom in which artificial tumors were embedded to represent areas of different stiffnesses. The region with high stiffness representing tumor and region with low stiffness representing healthy tissue showed an average indentation depth change of 5.19 mm and 10.09 mm respectively while maintaining a maximum force of 8N during robot-assisted palpation. These indentation depth variations were then distinguished using
Cross-Platform Evaluation of Mobile App Hardening

In recent years, mobile devices have become more and more popular. In 2011, for the first time, more smart-phones than PCs were sold. This has also been realized by malware authors who have made great progress in developing malware for mobile platforms. At the same time, vendors of security solutions are limited by the restrictive security architecture of the mobile platforms. This master thesis will investigate in what way, these security solutions are limited and to what degree, the restrictive security measures apply to malware. One potential way for a security solution to overcome the restrictions of the platforms is not to protect the whole platform, but only processes that deal with sensitive information. This is referred to as app hardening and will be investigated concerning its applicability in a mobile environment.
Investigations of the particles speed using image processing for the laser cladding process

The laser cladding process consists in adding a molten blown powder to a partially melted substrate. this in order to change the substrate properties. The aim of this paper is to present different experimental set-up associated with different image processes in order to characterize the powder stream in the laser cladding process. Information such as the particle speed, the powder distribution in function of the nozzle distance are presented. The used algorithms as well as the experimental set-up arc presented and detailed.
Examining the Innovation-Decision Process: A Preliminary Study of the AIChE Concept Warehouse

Debra Gilbuena is a Ph.D. Candidate in the School of Chemical, Biological, and Environmental Engineering at Oregon State University. She currently has research focused on student learning in virtual laboratories. Debra has an M.B.A., an M.S., and four years of industrial experience including a position in sensor development, an area in which she holds a patent. Her dissertation is focused on the characterization and analysis of feedback in engineering education. She also has interests in the diffusion of effective educational interventions and practices.
What Makes Higher Education Knowledge- Compatible? *

An empirical research is under way at Faculty of Business and Economics, University of Pecs planned to be conducted among approx. 800 Bologna BA (BSc) students in 2009, including the reinterpreted model of Probst and Raub (1998) which summarizes the components of knowledge management. In the study we apply the definition of knowledge-based services to higher education institutions in order to explore various aspects of the role of the university as a site of knowledge management, ranging from active student participation in higher education to the methods and tools that can be used for knowledge scouting, caring and developing at university. We intend to identify clusters of students in line with the phases of the knowledge model as the result of the research. Our hypothesis is that there are some biases among these phases, i.e. these clusters; so the aim of our research is to reveal the reasons for the asymmetrical nature of the process and to find out the prospects how to moderate it - with providing recommendations to the strengthening of each knowledge management phase. Other purpose of the study is the generalization of results in order to determine conclusions by literature which are valid to the whole higher education system.
A Study on the Agile-based Information System Audit Model

Agile development methods regards an interaction among software developers, operating softwares, and cooperation with customers as its main value. Most of the developing processes undergo a procedure called tailoring to meet the relevant project. Yet, in reality, projects run in disorder due to their overlap with other methods and management processes. As a result, the advantages of agile process cannot be fully used. So, the information system audit has an important role to detect these problems and improve the qualities of agile application projects. Also, researches should be conducted on Agile-based Iformation System Audit Model in order to enhance the effectiveness of agile projects. This paper suggests a model for an information system audit that applied agile developing methods. This model proposes audit domains and check lists for agile-based information system. In order to verify the suitability of the suggested model, more than 89.3% of the checklists were verified as suitable in all domains.
Avaliação da qualidade tecnológica apresentada por tilápia do Nilo (Oreochromis niloticus) enlatada Evaluation of the technological quality presented for a canned Nile tilapia (Oreochromis niloticus)

The fish is quite sensitive to the deterioration due to the high activity of water and, especially to a near pH of the neutrality. The application of the heat needs a rigorous control of time and temperature. The objective of this work developed meat of tilapia canned in vegetable edible oil, for the use from the nonstandard raw material, in order to offer a product with high collected value. The meat of tilapia were taken to the daily pay-cooking in fluent steam for approximately 50 minutes, when the oil of covering was next added, when re-drove and been subdued to two thermal treatments respectively of 15 and 30 minutes in autoclave 121°C. After that the microbiological analyses were carried out, chemicalphysically and sensory. The microbiological evaluation showed that the products were presenting satisfactory conformable quality to legislation. The pickles of tilapia presented next composition centesimal: moisture 48.4 %; ashes 3.1 %; protein 12.2 %; lipids 32.7 %; chloride 0.8 %. The sensory analysis showed what, did not exist significant difference at the level of 5 % in the different treatments. The test of commercial sterility was carried out also, where two thermal treatments were adapted to maintain the quality of the pickle of tilapia canned. It was ended that, the pickles of tilapia, they presented quality compatible with similar products, confirming the viability of production of this product.