Miracle-dz/UniFAR-FTUs huggingface dataset:
SemperFi: Anti-spoofing GPS Receiver for UAVs

—It is well-known that GPS is vulnerable to signal spoofing attacks. Although several spoofing detection techniques exist, they are incapable of mitigation and recovery from stealthy attackers. In this work, we present SemperFi, a single antenna GPS receiver capable of tracking legitimate GPS satellite signals and estimating the true location even against strong adversaries. Our design leverages a combination of the Extended Kalman Filter based GPS failsafe mechanism built into majority of UAVs and a custom designed legitimate signal retriever module to detect and autonomously recover from majority of spoofing attacks. We develop algorithms to carefully synthesize recovery signals and extend the successive interference cancellation technique to preserve the legitimate signal’s ToA, while eliminating the attacker’s signal. For strong adversaries capable of stealthy and seamless takeover, SemperFi uses brief maneuvers designed to exploit the short-term stability of inertial sensors and identify stealthy spoofing attacks. We implement SemperFi in GNSS-SDR, an open-source software-defined GNSS receiver, and evaluate its performance using UAV simulators, real drones, a variety of real-world GPS datasets, as well as on various embedded platforms. Our evaluation results indicate that in many scenarios, SemperFi can identify adversarial peaks by executing flight patterns less than 100 m long and recover the true location within 0.54 s (Jetson Xavier). We show that our receiver is secure against both naive and stealthy spoofers who exploit inertial sensor errors and execute seamless takeover attacks. Furthermore, we design SemperFi as a pluggable module capable of generating a spoofer-free GPS signal for processing on any commercial-off-the-shelf GPS receiver available today. Finally, we release our implementation to the community for usage and further research.
A novel circuit topology of modified switched boost hybrid resonant inverter fitted induction heating equipment

: A novel circuit topology of modified switched boost high frequency hybrid resonant inverter fitted induction heating equipment is presented in this paper for efficient induction heating. Recently, induction heating technique is becoming very popular for both domestic and industrial purposes because of its high energy efficiency and controllability. Generally in induction heating, a high frequency alternating magnetic field is required to induce the eddy currents in the work piece. High frequency resonant inverters are incorporated in induction heating equipment which produce a high frequency alternating magnetic field surrounding the coil. Previously this high frequency alternating magnetic field was produced by voltage source inverters. But VSIs have several demer-its. So, in this paper, a new scheme of modified switched boost high frequency hybrid resonant inverter fitted induction heating equipment has been depicted which enhances the energy efficiency and controllability and the same is validated by PSIM.
An Analysis of Industry Expectations and Teaching of Quality Management Courses

In this paper, we explore the differences between faculty teaching and industry expectations in the area of Quality Management. Using Juran’s Management System, we examine the various areas and issues in Quality Management. The results show significant differences between the academics and the industry, and point to the need for revising Quality Management curriculum in order to satisfy industry expectations of graduating students.
The cyclic homology of k[x 1, x 2,…, x d ]/(x 1, x 2,…, x d )2

Abstract The Hochschild homology of the ring has been known and calculated several ways. This paper uses those calculations to calculate cyclic, negative cyclic, and periodic cyclic homology of over k for These calculations have been known for or fields containing it, but this paper studies the torsion which one gets for and through it, via the universal coefficient theorem, for general k. The computations are related to homology, cohomology, and Tate cohomology of cyclic groups.
Pyrogallol-Phloroglucinol-6, 6-Bieckol Restored Primary Cilia Length, Which Was Decreased by High-Fat Diet in Visceral Adipose Tissue, and Decreased Adipogenesis

Length of primary cilia, which involves cell cycle reentry and disassembly of cilia, promotes cell mitosis. It is known that the cilia length in adipose tissue of the high-fat diet (HFD) animals was shortened and accompanied by increased adipogenesis. Male C57BL/6N mice were randomly divided into groups. The mice group was given the normal fat diet (NFD/saline), HFD mice group for 4 weeks, and then HFD was also treated for the next 4 weeks with saline (HFD/saline), Ecklonia cava extract (HFD/ECE), or pyrogallol-phloroglucinol-6, 6-bieckol, a segment of ECE (HFD/PPB). We evaluated the effect of ECE and PPB on modulating cilia length of visceral adipose tissue and decreasing adipogenesis by decreasing cell cycle reentry using an HFD-fed mouse model. ECE and PPB decreased physiological changes, which increased by HFD, but ECE and PPB decreased the upregulation of the IL-6/STAT3/AURKA signaling pathway, which is involved in cilia disassembly. In addition, ECE or PPB elongated the cilia and decreased cyclin A2 and Cdk2 expression, which promote cell cycle reentry, and decreased the adipogenesis genes. PPB and ECE restored cilia length and decreased adipogenesis through modulating the IL-6/STAT3/AURKA pathway and decreasing cell cycle reentry in the visceral adipose tissue of HFD/saline mice group.
Estimation of the Near-Surface Ozone Concentration with Full Spatiotemporal Coverage across the Beijing-Tianjin-Hebei Region Based on Extreme Gradient Boosting Combined with a WRF-Chem Model

With the intensification of global warming and economic development in China, the near-surface ozone (O3) concentration has been increasing recently, especially in the Beijing-Tianjin-Hebei (BTH) region, which is the political and economic center of China. However, O3 has been measured in real time only over the past few years, and the observational records are discontinuous. Therefore, we propose a new method (WRFC-XGB) to establish a near-surface O3 concentration dataset in the BTH region by integrating the Weather Research and Forecasting with Chemistry (WRF-Chem) model with the extreme gradient boosting (XGBoost) algorithm. Based on this method, the 8-h maximum daily average (MDA8) O3 concentrations are obtained with full spatiotemporal coverage at a spatial resolution of 0.1° × 0.1° across the BTH region in 2018. Two evaluation methods, sample- and station-based 10-fold cross-validation (10-CV), are used to assess our method. The sample-based (station-based) 10-CV evaluation results indicate that WRFC-XGB can achieve excellent accuracy with a high coefficient of determination (R2) of 0.95 (0.91), low root mean square error (RMSE) of 13.50 (17.70) µg m−3, and mean absolute error (MAE) of 9.60 (12.89) µg m−3. In addition, superb spatiotemporal consistencies are confirmed for this model, including the estimation of high O3 concentrations, and our WRFC-XGB model outperforms traditional models and previous studies in data mining. In addition, the proposed model can be applied to estimate the O3 concentration when it has not been measured. Furthermore, the spatial distribution analysis of the MDA8 O3 in 2018 reveals that O3 pollution in the BTH region exhibits significant seasonality. Heavy O3 pollution episodes mainly occur in summer, and the high O3 loading is distributed mainly in the southern BTH areas, which will pose challenges to atmospheric environmental governance for local governments.
Isolation of NELL 1 Aptamers for Rhabdomyosarcoma Targeting

NELL1 (Neural epidermal growth factor-like (EGFL)-like protein) is an important biomarker associated with tissue and bone development and regeneration. NELL1 upregulation has been linked with metastasis and negative prognosis in rhabdomyosarcoma (RMS). Furthermore, multiple recent studies have also shown the importance of NELL1 in inflammatory bowel disease and membranous nephropathy, amongst other diseases. In this study, several anti-NELL1 DNA aptamers were selected from a randomized ssDNA pool using a fluorescence-guided method and evaluated for their binding affinity and selectivity. Several other methods such as a metabolic assay and confocal microscopy were also applied for the evaluation of the selected aptamers. The top three candidates were evaluated further, and AptNCan3 was shown to have a binding affinity up to 959.2 nM. Selectivity was examined in the RH30 RMS cells that overexpressed NELL1. Both AptNCan2 and AptNCan3 could significantly suppress metabolic activity in RMS cells. AptNCan3 was found to locate on the cell membrane and also on intracellular vesicles, which matched the location of NELL1 shown by antibodies in previous research. These results indicate that the selected anti-NELL1 aptamer showed strong and highly specific binding to NELL1 and therefore has potential to be used for in vitro or in vivo studies and treatments.
Validation of the Organizational Dehumanization Scale in Spanish-Speaking Contexts

The objective of this study is to validate Caesens, Stinglhamber, and Demoulin’s (2017) organizational dehumanization scale (ODS) in a Spanish-speaking sample. A sample of 422 employees (49.3% women and 50.7% men) from Chile answered an online questionnaire comprised of measures of organizational dehumanization and job satisfaction, organizational citizenship behaviors, and authentic leadership. To analyze the structure of the ODS, the sample was divided into two random subsamples and exploratory and confirmatory factor analyses were carried out. In addition, reliability and criterion validity were tested. As a result, the scale was composed of one factor. One item was eliminated due to its factor loading. The internal consistency was good (α = 0.92; ω = 0.92). The correlations between ODS, job satisfaction, organizational citizenship behaviors, and authentic leadership were statistically significant, from medium to high magnitude, indicating a reasonable degree of criterion validity. In conclusion, the Spanish version of the ODS shows adequate psychometric properties and can be useful for making progress on the understanding of organizational dehumanization and evaluating the organizational dehumanization in Spanish-speaking context.
Seroprevalence of SARS-COV-2 antibodies among health-care workers exposed to COVID-19 patients in a large reference hospital, Iran

Background and Objectives: Health care workers (HCWs) are a high-risk group for acquiring and transmitting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Aim of the study was the evaluation of seroprevalence of SARS-CoV-2 in a random sample of HCWs at a large acute care hospital in Iran. Materials and Methods: We collected blood samples of 180 medical staffs from September 22, 2020 to January 26, 2021. The enzyme linked immunosorbent assays (ELISA) tests were used for evaluation of the presence of IgG antibodies. Participants completed a self-report questionnaire, comprising demographics, occupational, the work area, and personal protection data. Results: Of the 180 HCWs who participated in this study, 44 (24.4%) were seropositive for anti-SARS-CoV-2 IgG. The percentage of IgG positivity was higher in males than females (P<0.05). Also, there was statistically significant difference between presence of the antibodies and the occupation, location, and infecting family members with Covid -1 (P<0.05). Other factors did not associate significantly to antibody presence against SARS-CoV-2 (P>0.05). Conclusion: According to this point that the number of COVID-19 cases is still growing rapidly among HCWs. So, the epidemiological estimate of SARS-CoV-2 infection remains a major challenge that is needed to prevent the spread of infection in the hospitals.
Exploring constraint removal motion planners

We present algorithms for motion planning that can tolerate collisions. Because finding a path of minimum cover is prohibitively expensive, we investigate algorithms that work well in practice and find solutions close to the true minimum cover solution. We introduce the notion of removal importance for obstacles and the family of iterative obstacle removing RRTs (IOR-RRTs). This family of algorithms operate similarly to the RRT but iteratively tolerate more collisions in trying to identify a path. One member of the family that performs well is the search informed IOR-RRT. This search technique first performs bidirectional collision-free search to find a clear path if possible. In failure, it iteratively selects an obstacle for removal using its removal importance. We measure the performance of our algorithms on a multi-link robot operating in both environments with feasible paths and those where collisions must be allowed. Thesis Supervisor: Prof. Tomás Lozano-Pérez
ProvTalk: Towards Interpretable Multi-level Provenance Analysis in Networking Functions Virtualization (NFV)

—Network functions virtualization (NFV) enables agile deployment of network services on top of clouds. However, as NFV involves multiple levels of abstraction representing the same components, pinpointing the root cause of security incidents can become challenging. For instance, a security incident may be detected at a different level from where its root cause operations were conducted with no obvious link between the two. Moreover, existing provenance analysis techniques may produce results that are impractically large for human analysts to interpret due to the inherent complexity of NFV. In this paper, we propose ProvTalk, a provenance analysis system that handles the unique multi-level nature of NFV and assists the analyst to identify the root cause of security incidents. Specifically, we first define a multi-level provenance model to capture the dependencies between NFV levels. Next, we improve the interpretability through three novel techniques, i.e., multi-level pruning, mining-based aggregation, and rule-based natural language translation. We implement ProvTalk on a Tacker-OpenStack NFV platform and validate its effectiveness based on real-world security incidents. We demonstrate that ProvTalk captures management API calls issued to all NFV services, and produces more interpretable results by significantly reducing the size of the provenance graphs (about 3.6 times reduction via the multi-level pruning scheme and two times reduction via the aggregation scheme). Our user studies show that ProvTalk facilitates the analysis task of real-world users by generating more interpretable results.
Strength of Internet Ties, The

A time of day demand metering system is disclosed for registering the amount of electrical energy consumed during the one demand interval of maximum electrical energy consumption out of a plurality of demand intervals. Means is provided to engage the register of a time of day meter only during those demand intervals when the amount of electrical energy being consumed is in excess of the one previous demand interval of maximum electrical energy consumption.
Making Sense of Teen Life: Strategies for Capturing Ethnographic Data in a Networked Era

1 by danah boyd Keke walked into the room where I was waiting and sat down with a thump, crossing her arms, and keeping a physical and psychological distance. I swallowed, knowing that this interview was going to take serious emotional effort on my part. I had spent the last three weeks at her school, observing the social dynamics unfolding in various classes, in the courtyard, and at lunch. I had gone with some of her classmates to the nearby McDonald's and had hung out with some of them at one of the local malls. I had spent hours browsing the MySpace pages of her classmates, trying to get a sense of the norms and gossip at her school. I had also eaten lunch on multiple occasions in the faculty room, listening to the teachers share their headaches and heartaches. Keke's school often overwhelmed me and I was not always emotionally prepared for what I saw and heard nor did I always know what to say or do. Only a few days before, I had walked in on two of Keke's classmates having sex in the faculty lounge during class; they had been more annoyed with me for interrupting them than ashamed or embarrassed. I was the one who was ashamed and embarrassed. And, as an ethnographer trained to believe that I should not let my own values shape my feelings, I was ashamed and embarrassed by my shame and embarrassment. I took a deep breath and I started with some small talk, asking Keke why she had agreed to be interviewed for this project. " I need the money, " she stated, emotionless. Like many other teens from low-income families that I have interviewed, Keke's only reason for participating was the financial incentive; she was not interested in the research topic and did not see why I – as an adult – cared about what teens were doing with technology. I quickly realized that she was going to answer any question I asked with as few words as possible. So I decided that I needed a different strategy and I asked her to walk me through the previous day, describing what she did from the moment that she woke up through the point at which she went to sleep. As she set about describing her day, I noticed that she was talking about everyone else but herself; she was …
Feeding value of supplemental fat as a partial replacement for steam-flaked corn in diets for Holstein calves during the early growing phase

Abstract In calf-fed Holstein steers, the early growing phase is characterized by very high relative dry matter intake (DMI) accompanied with lower-than-expected efficiency of energy utilization. Although fat is commonly supplemented in growing–finishing diets, the comparative feeding value has not been investigated during the initial receiving–growing period. Eighty-four Holstein calves (127.7 ± 2.1 kg body weight) were used to evaluate the effects of including 3.5% of supplemental yellow grease (YG) in the diet on characteristics of growth performance and dietary energy utilization of calves during the early growth phase. Morbidity and mortality were not affected by dietary treatments. Yellow grease supplementation did not affect DMI, but tended to increase average daily gain (4.6%; P = 0.07), and increased (P ≤ 0.03) gain efficiency (5.8%) and dietary net energy for maintenance (NEm) and gain (NEg) by 4.1% and 5.3%, respectively. Based on performance data, the estimated NE value of supplemental YG was 4.67 and 3.68 Mcal/kg for NEm and NEg, respectively. These values are consistent with current tabular values assigned for vegetable oils (4.75 and 3.51 Mcal/kg), but markedly less (16.6%) than NEm value assigned for YG (5.60 Mcal NEm/kg; NASEM, 2016. Nutrient requirements of beef cattle. 8th ed. Washington (DC): National Academy Press. ).
FedCRI: Federated Mobile Cyber-Risk Intelligence

—In the present era of ubiquitous digitization more and more services are becoming available online which is ampliﬁed by the Corona pandemic. The fast-growing mobile service market opens up new attack surfaces to the mobile service ecosystem. Hence, mobile service providers are faced with various challenges to protect their services and in particular the associated mobile apps. Defenses for apps are, however, often limited to (lightweight) application-level protection such as app hardening and monitoring and intrusion detection. Therefore, effective risk management is crucial to limit the exposure of mobile services to threats and potential damages caused by attacks.Inthis paper, we present FedCRI, a solution for sharing Cyber-Risk Intelligence (CRI). At its core, FedCRI transforms mobile cyber-risks into machine learning (ML) models and leverages ML-based risk management to evaluate security risks on mobile devices. FedCRI enables fast and autonomous sharing of actionable ML-based CRI knowledge by utilizing Federated Learning (FL). FL allows collaborative training of effective risk detection models based on information contributed by different mobile service providers while preserving the privacy of the training data of the individual organizations. We extensively evaluate our approach on several real-world user databases representing 23.8 million users of security-critical mobile apps (since Android 4 and iOS 6) provided by nine different service providers in different European countries. The datasets were collected over the course of six years in the domains of ﬁnancial services, payments, and insurances. Our approach can successfully extract accurate CRI models, allowing effective identiﬁcation of cybersecurity risks on mobile devices. Our evaluation shows that the federated risk detection model can achieve better than 99% accuracy in terms of F1-score in most risk classiﬁcation tasks with a very low number of false positives.
Genome-Wide Selection Sweep between Wild and Local Pigs from Europe for the Investigation of the Hereditary Characteristics of Domestication in Sus Scrofa

Simple Summary Wild boar (WB) originate in southeastern Asia. With the migration of WBs into the European continent, their domestication started as early as the Neolithic period. With the continuous domestication and considering people’s different needs for pork, many local WB breeds with their own characteristics appeared on European land. In this article, the whole genome files of 10 local WB and 38 domestic local breeds (1098 individuals in total) were screened in terms of genetic differences in metabolism, disease, and temperament by genome-wide association scan selection signals. Moreover, the geographical distribution and historical events of the different breeds were combined to confirm the wide genetic contribution of WB to the domestication process. The results of this study will provide a reference on the metabolism and emotionality between European WBs and domestic pigs. Abstract The phenotypic characteristics of existing domestic pigs (DPs) greatly differ from those of wild boar (WB) populations thousands of years ago. After thousands of years of human domestication, WB and DP have diverged greatly in terms of genetics. Theoretically, worldwide local pigs have independent contributions from their local WBs at the beginning of Sus scrofa domestication. The investigation of the vicissitude of the heredity material between domestic populations and their wild ancestors will help in further understanding the domestication history of domestic animals. In the present study, we performed a genome-wide association scan (GWSA) and phylogeny estimation with a total of 1098 public European Illumina 60K single nucleotide polymorphism data, which included 650 local DPs and 448 WBs. The results revealed that the phylogenetic relationship of WBs corresponds to their geographical distribution and carries large divergence with DPs, and all WB breeds (e.g., HRWB, SBWB, and TIWB) presents a closely linkage with the middle WB (e.g., HRWB, and PLWB). In addition, 64 selected candidate genes (e.g., IDH2, PIP5K1B, SMARCA2, KIF5C, and TJP2) were identified from GWSA. A total of 63 known multiple biological functional pathways were annotated by 22 genes, and ubiquinone and other terpenoid-quinone biosynthesis pathways that belong to the metabolism of cofactors and vitamins were significantly enriched (p < 0.05). The most frequent (28.57%) pathways were classified under metabolism. We confirmed that the middle European WB has made an important genetic contribution to the entire European WB populations. A series of selected genes discovered from this study provides the scientific community with a deeper understanding of the heredity performance of metabolism and emotion and the real purpose behind domestication.