Miracle-dz/UniFAR-FTUs huggingface dataset:
An Ant Colony Algorithm Based Content Poisoning Mitigation in Named Data Networking

Content Poisoning in Named Data Networking (NDN) can greatly reduce the effect of ubiquitous data caching, which is a prominent feature in NDN. Especially, when the NDN routers are compromised by attackers, finding a suitable scheme to mitigate such content poisoning in NDN routers is a challenge. In this paper, we proposed a scheme named Ant Colony Algorithm Based Content Poisoning Mitigation (ACO-CPM) in NDN. This scheme introduces the ACO to probe the safety transmission path and adjust the content retrieval process, by collecting the security information of all routers on the whole path. Meanwhile, the ACO-CPM can bypass the evil routers and therefore prevent the evil routers distributing illegal content any more. Plus, the proposed scheme can mitigate content poisoning by clearing bogus Data packets in the cache store during the path finding process. We implement our scheme by comparing it with ROM scheme in ndnSIM simulator. Simulation results show that our scheme can alleviate the content poisoning attacks caused by evil routers quickly and effectively.
Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Factors Related to Passage Length : Implications for Second Language Listening

Despite its importance in the development of second language (L2) proficiency, there is little research on listening comprehension in a second language. Evidence for the role of most factors that may impact second language listening is sparse. One practical factor often mentioned in relation to the difficulty of L2 listening passages is length, but there are several problems with characterizing the amount of information in a passage this way. We summarize available research on the effects of passage length in L2 listening comprehension and describe the relationship between passage length and other important factors and highlight areas in need of more research.
CHTDS: A CP-ABE Access Control Scheme Based on Hash Table and Data Segmentation in NDN

For future Internet, information-centric networking (ICN) is considered a potential solution to many of its current problems, such as content distribution, mobility, and security. Named Data Networking (NDN) is a more popular ICN project. However, concern regarding the protection of user data persists. Information caching in NDN decouples content and content publishers, which leads to content security threats due to lack of secure controls. Therefore, this paper presents a CP-ABE (ciphertext policy attribute based encryption) access control scheme based on hash table and data segmentation (CHTDS). Based on data segmentation, CHTDS uses a method of linearly splitting fixed data blocks, which effectively improves data management. CHTDS also introduces CP-ABE mechanism and hash table data structure to ensure secure access control and privilege revocation does not need to re-encrypt the published content. The analysis results show that CHTDS can effectively realize the security and fine-grained access control in the NDN environment, and reduce communication overhead for content access.
MOLECULAR SIMULATION OF ANTIMICROBIAL PEPTIDE WLBU2-MOD BINDING WITH GRAM-NEGATIVE INNER MEMBRANE MIMIC

Title of Thesis: MOLECULAR SIMULATION OF ANTIMICROBIAL PEPTIDE WLBU2-MOD BINDING WITH GRAM-NEGATIVE INNER MEMBRANE MIMIC Tyler Cline, Master of Science, 2019 Thesis directed by: Associate Professor, Dr. Jeffery Klauda, Chemical and Biomolecular Engineering Since the discovery of Penicillin in 1928 by Sir Alexander Fleming, antibiotics have been one of the most important technologies in modern medicine. Due to the lack of novel innovative methods and the gross abuse of antibiotics both in human use and agriculture, we currently face an antibiotic resistance crisis. In the last fifty years only a handful of new class of antibiotics that target gram-positive bacteria have been introduced and, in that time, no new class of antibiotics that target gram-negative bacteria have been introduced. This thesis focuses on the molecular dynamic simulations involving the cationic α-helical antibacterial peptide, WLBU2-mod (RRWVRRVRRVWRRVVRVVRRWVRR), binding with a gram-negative bacterial inner membrane (IM) mimic composed of palmitoyloleoyl PE (POPE), palmitoyloleoyl PG (POPG), and 1,1’,2,2’-tetraoctadecenoyl CL (TOCL2) in a 7:2:1 ratio respectively. The structure of WLBU2-mod was predicted using Robetta to be either a single extended α-helical structure or a bent α-helical structure. Replica exchange with solute tempering with an improved Hamiltonian acceptance protocol (REST2) was performed on WLBU2-mod to relax the peptide to an unstructured conformation in an explicit aqueous solution. WLBU2-mod relaxed with REST2 consists of mainly random coil and β-sheet secondary structure which matches experimental circular dichroism (CD) results collected by Aria Salyapongse and Dr. Tristram-Nagle. Experimental CD results with the IM predicted the peptide to be structured with majority α-helical secondary structure, contrary to the unstructured results of the peptide in water. Both structured and unstructured WLBU2-mod were placed in parallel 10 Å above the IM mimic and molecular dynamics (MD) was performed to observe the binding mechanism. Simulations failed to see significant bilayer thinning or penetration into the hydrophobic core but there is strong indication that our simulations represent in intermediate state toward the final binding mechanism. In order to observe more substantial binding to the IM, future projects should consider increasing the length of the simulations and flipping the orientation of the peptide to have the hydrophobic components face inward toward the bilayer. Future projects in combination with the groundwork laid out here will hopefully provide insight into how antibacterial peptides can become the answer to the resistance crisis we face today. MOLECULAR SIMULATION OF ANTIMICROBIAL PEPTIDE WLBU2MOD BINDING WITH GRAM-NEGATIVE INNER MEMBRANE MIMIC
On rigid origami II: quadrilateral creased papers

Miura-ori is well known for its capability of flatly folding a sheet of paper through a tessellated crease pattern made of repeating parallelograms. Many potential applications have been based on the Miura-ori and its primary variations. Here, we are considering how to generalize the Miura-ori: what is the collection of rigid-foldable creased papers with a similar quadrilateral crease pattern as the Miura-ori? This paper reports some progress. We find some new variations of Miura-ori with less symmetry than the known rigid-foldable quadrilateral meshes. They are not necessarily developable or flat-foldable, and still only have single degree of freedom in their rigid folding motion. This article presents a classification of the new variations we discovered and explains the methods in detail.
On the Identification of Financial and Uncertainty Shocks

There is a consensus about the increasing exposure to disruptions in the financial system and economic uncertainty over the recent years. Despite their different implications for policy, discriminating empirically between these two sources of economic fluctuations is not an easy task because their available empirical proxies are strongly correlated. We aim at making progress in discriminating financial and uncertainty shocks by means of an atheoretical approach to identification following the penalty function proposed by Uhlig (2003). We conclude that while the uncertainty channel plays a negligible role in the transmission of financial shocks; the financial channel is key in the transmission of uncertainty shocks. Financial shocks generate slowly-building and economically significant recessions followed by slow recoveries. Uncertainty shocks generate similar adverse effects if transmitted through the financial channel; otherwise, they have significantly smaller effects in economic activity.
Experiences in Postsecondary Education That May Lead to Cultural Intelligence: Exploring and Proposing Practices.

Cultural intelligence is among the top essential learning outcomes for college graduates. Despite the emphasis on internationalizing higher education and the increased culturally focused initiatives across campuses, fewer than seven percent of college-level students meet even basic standards for cultural intelligence by the time they graduate with a bachelor’s degree. Research on the postsecondary experiences that lead to cultural intelligence is still rather limited. This paper, through an extensive review of the literature, presents the context of global education in higher education, discusses cultural intelligence and its dimensions, and presents recommendations on ways to infuse culturally intelligent practices inside and outside of postsecondary classrooms.
From Grayscale to Color: Quaternion Linear Regression for Color Face Recognition

Linear regression has shown an effective tool for face recognition in recent years. Most existing linear regression based methods are devised for grayscale image based face recognition and fail to exploit the color information of color face images. To extend linear regression for color images, we propose a novel color face recognition method by formulating the color face recognition problem as a quaternion linear regression model. The proposed quaternion linear regression classification (QLRC) algorithm models each color facial image as a quaternion signal and codes multiple channels of each query color image in a holistic manner. Thus, the correlation among distinct channels of each color image is well preserved and leveraged by QLRC to further improve the recognition performance. To further improve QLRC, we propose a quaternion collaborative representation optimized classifier (QCROC) which integrates QLRC and quaternion collaborative representation based classifier into a unified framework. The experiments on benchmark datasets demonstrate the efficacy of the proposed approaches for color face recognition.
PRIVACY PRESERVING SURVEILLANCE AND THE TRACKING- PARADOX

Increasing capabilities of intelligent video surveillance systems impose new threats to privacy while, at the same time, offering opportunities for reducing the privacy invasiveness of surveillance measures as well as their selectivity. We show that aggregating more data about observed people does not necessarily lead to less privacy, but can increase the selectivity of surveillance measures. In case of video surveillance in a company environment, if we enable the system to authenticate employees and to know their current positions, we can ensure that no data about employees leaves the surveillance system, i.e., is being visualized or made accessible to an operator. In contrast, due to their lack of computer vision intelligence, conventional video surveillance systems do by design treat each person’s privacy equally, independent of whether one has to spend the whole work day under surveillance (e.g. personnel of an airport) or occasionally a limited amount of time (e.g. air passengers). We conceive our approach towards improving the selectivity of video surveillance measures as an interpretation of the principle of proportionality in law.
Time-frequency analysis via deconvolution with sparsity constraints

Spectral decomposition is a time-frequency analysis tool widely used for seismic data interpretation. Compared to conventional frequency analysis, spectral decomposition attempts to estimate the frequency content of the seismic signal at any particular time. This type of analysis has commonly been achieved using, for instance, the short window Fourier transform to determine the localized frequency content of the seismic signal. An alternative method is proposed in which the seismic signal is deconvolved with a dictionary of different central frequency Ricker wavelets. This approach allows for different frequency components of the seismic signal to be accounted for with different Ricker wavelets. By applying sparsity constraints, greater resolution is obtained in the time-frequency distribution since a minimal number of Ricker wavelets are required to fit the original seismic signal.
Metal ion coordination interactions for biomolecule recognition: a review

Molecular imprinting is an effective method to create selective binding sites in polymeric matrices for biomolecule recognition. This review gives recent improvements of the design and preparation of selective binding sites via metal coordination interactions in molecularly imprinted polymers (MIPs) and focuses on particularly metal coordination bonds between biomolecules such as amino acids, peptides, proteins and templated polymers. The discussion will evaluate key parameters for molecular imprinting in the perspective of metal coordination. Keywords: Metal ion coordination; Molecular imprinting; Metal chelation; Biomolecule recognition DOI: 10.17350/HJSE19030000004 Full Text:
Title Hop-by-hop routing in wireless mesh networks with bandwidthguarantees

Wireless Mesh Network (WMN) has become an important edge network to provide Internet access to remote areas and wireless connections in a metropolitan scale. In this paper, we study the problem of identifying the maximum available bandwidth path, a fundamental issue in supporting quality-of-service in WMNs. Due to interference among links, bandwidth, a well-known bottleneck metric in wired networks, is neither concave nor additive in wireless networks. We propose a new path weight which captures the available path bandwidth information. We formally prove that our hop-by-hop routing protocol based on the new path weight satisfies the consistency and loop-freeness requirements. The consistency property guarantees that each node makes a proper packet forwarding decision, so that a data packet does traverse over the intended path. Our extensive simulation experiments also show that our proposed path weight outperforms existing path metrics in identifying high-throughput paths.
Brownian Dynamics Simulation of Transport Properties in Potassium Ion Channels

In this work, a self-consistent Langevin dynamicsPoisson solver (LDPS) is used to model the ionic transport properties in ion channel systems. The charge transport behavior in the bulk electrolyte has been compared with the results of an analytic model. Within the LDPS framework, the molecular structure of both the protein and the lipid bilayer are explicitly accounted for, and the atomistic representation of the channel is embedded in the molecular structure of a patch of membrane, included in the computational domain.
Fall Detection for Elderly People Using the Variation of Key Points of Human Skeleton

In the area of health care, fall is a dangerous problem for aged persons. Sometimes, they are a serious cause of death. In addition to that, the number of aged persons will increase in the future. Therefore, it is necessary to develop an accurate system to detect fall. In this paper, we present spatiotemporal method to detect fall form videos filmed by surveillance cameras. Firstly, we computed key points of human skeleton. We calculated distances and angles between key points of each two pair sequences frames. After that, we applied Principal Component Analysis (PCA) to unify the dimension of features. Finally, we utilized Support Vector Machine (SVM), Decision Tree, Random Forest and K Nearest Neighbors (KNN) to classify features. We found that SVM is the best classifier to our method. The results of our algorithm are as follow: accuracy is 98.5%, sensitivity is 97% and the specificity is 100%.
A new light on arresting mechanism of dynamic earthquake faulting

Classic analyses have shown that dynamic growth of a shear crack cannot be arrested in a uniformly stressed elastic medium with homogeneously distributed fracture strengths. This leads to a general supposition that earthquake rupture growth is arrested by inhomogeneities in the distributions of strengths or stresses. We propose a novel idea for arresting mechanism of dynamic crack growth in the simulation with no constraints on the crack geometry. Our analysis shows that the arresting occurs spontaneously soon after crack bending even in the homogeneous medium and that inhomogeneities are indispensable not for stopping crack growth, but for its promotion.
Chapter 10 Online Multi-divisive Hierarchical Clustering for On-Body Sensor Data

Data mining applications over on-body sensor data have earned great attention in recent years. We propose a novel Online Multi-divisive Hierarchical Clustering Method on on-body sensor data. Our method evolves tree-like top down hierarchy cluster, which splits and agglomerates clusters as needed. Experimental results prove a competing quality for our method over existing ones.
Reliability of the four series 15-second vertical jumping test

Purpose: The purpose of this study was to check the reliability of the vertical jumping test and re-test in four series of the 15seconds test (IVJT). Method: Eighteen male volunteer athletes participated in this study, and they were divided as follows: eleven handball players (25.74 ± 4.71 years; 85.84 ± 7.63 kg; 182.14 ± 3.46 cm), and seven basketball players (18.60 ± 0.77 years; 83.82 ± 10.02 kg; 188.14 ± 5.76 cm). The assessed variables for the test and re-test were: power peak (PP), mean power (MP), and fatigue index (FI). The performances attained by them in these variables were measured through the vertical jumping test in four series of the 15-seconds test with 10 seconds recovery between series. The statistical treatment was performed through the descriptive technique and the intraclass correlation coefficient (ICC). Results: The results have shown a high ICC in the repeated measurements performed in different days for every variable: PP (r = 0.992; p = 0.0360); MP (r = 0.993; p = 0.0107); and FI (r = 0.981; p = 0.0556). Added to this, it was found high correlation coefficients between the test and re-test as to the quality indicators in the measurements of the vertical jumping technique with counter-movement without the help of the upper limbs (CMJ) (r = 0.991; p = 0.0800), for the amount of jumps together with a 15 and 60 seconds work (AVJ15s, r = 0.936; p = 0.0062, and AVJ60s, r = 0.978; p = 0.0139) and in the jumped height, in a 15 and 60 seconds work (VJ15s, r = 0.993; p = 0.0467, and VJ60s, r = 0.988; p = 0.0014). Conclusion: The data analysis pointed out the existence of a reliable measurement of the IVJT when assessing the explosive strength resistance through the MP and FI variables.
Characterization of Half-Select Free Write Assist 9T SRAM Cell

Modern biomedical applications have created a high demand for low power static random access memory (SRAM). In this article, a reliable low power half-select free-write assist 9T (HFWA9T) cell has been proposed. To analyze the impact of process variations on different design metrics, the proposed cell has been compared with other contemporary designs such as feedback-cutting 7T (7T), fully differential 8T (FD8T), and single-ended disturb free 9T (SEDF9T) cells. The HFWA9T cell exhibits <inline-formula> <tex-math notation="LaTeX">$2.87\times /3.37\times $ </tex-math></inline-formula> higher read stability or read static noise margin (RSNM) than that of 7T/FD8T and <inline-formula> <tex-math notation="LaTeX">$1.40\times /6.55\times $ </tex-math></inline-formula> higher write ability or write static noise margin (WSNM) than that of FD8T/SEDF9T, <inline-formula> <tex-math notation="LaTeX">$2.90\times /2.67\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$1.06\times /1.01\times /5.05\times $ </tex-math></inline-formula> narrower spread in RSNM and WSNM than that of 7T/FD8T and 7T/FD8T/SEDF9T cells, respectively. In addition, it shows <inline-formula> <tex-math notation="LaTeX">$1.11\times /1.03\times $ </tex-math></inline-formula> narrower spread in read delay (<inline-formula> <tex-math notation="LaTeX">${T}_{{\text {RA}}}$ </tex-math></inline-formula>) than that of FD8T/SEDF9T and <inline-formula> <tex-math notation="LaTeX">$1.33\times $ </tex-math></inline-formula> shorter <inline-formula> <tex-math notation="LaTeX">${T}_{{\text {RA}}}$ </tex-math></inline-formula> than that of SEDF9T cell. Furthermore, it consumes only <inline-formula> <tex-math notation="LaTeX">$0.67\times /0.31\times /0.48\times $ </tex-math></inline-formula> of the write power and <inline-formula> <tex-math notation="LaTeX">$0.262\times /0.605\times /0.90\times $ </tex-math></inline-formula> of the read power, respectively, consumed by 7T/FD8T/SEDF9T, while consuming <inline-formula> <tex-math notation="LaTeX">$0.34\times /0.96\times $ </tex-math></inline-formula> of static power consumed by 7T/FD8T cell. For all these improvements, it incurs a penalty of <inline-formula> <tex-math notation="LaTeX">$1.62\times /1.78\times $ </tex-math></inline-formula> in write delay (<inline-formula> <tex-math notation="LaTeX">${T}_{{\text {WA}}}$ </tex-math></inline-formula>) compared to 7T/SEDF9T and <inline-formula> <tex-math notation="LaTeX">$1.58\times /1.58\times $ </tex-math></inline-formula> in <inline-formula> <tex-math notation="LaTeX">${T}_{{\text {RA}}}$ </tex-math></inline-formula> compared to 7T/FD8T cell at <inline-formula> <tex-math notation="LaTeX">${V}_{{\text {DD}}} = {700}$ </tex-math></inline-formula> mV.
A Novel Efficient Software Engineering Models Ms

Software Engineering is an approach software that attempts to treat it as a formal process more like traditional engineering than the craft that many programmers believe it is. In proposed methodology Extended Iterative model used. In extended Iterative Agile model first step is to finalise the requirement, architecture and design. Development phase begins as soon as requirements design and architecture is completed. Development phase follows agile method. Scrum masters ensures smooth development as per requirement and accommodates new changes, since architecture & design is already in place a scalable architecture allows new changes to be accommodated. This model reduces risk of changing architecture time to time. It increases the productivity and optimizes the requirement of resources. If there is any concern in development phase then it is attended by Team Lead and addressed with the help of Project Manager in case of higher complexity. This involves removing any impediments to progress, facilitating meetings, and doing things like working with the product owner to make sure the product backlog is in good shape and ready for the next sprint.
KARL G. JANSKY VERY LARGE ARRAY OBSERVATIONS OF COLD DUST AND MOLECULAR GAS IN STARBURSTING QUASAR HOST GALAXIES AT z ∼ 4.5

We present Karl G. Jansky Very Large Array (VLA) observations of 44 GHz continuum and CO J = 2–1 line emission in BRI 1202−0725 at z = 4.7 (a starburst galaxy and quasar pair) and BRI 1335−0417 at z = 4.4 (also hosting a quasar). With the full 8 GHz bandwidth capabilities of the upgraded VLA, we study the (rest-frame) 250 GHz thermal dust continuum emission for the first time along with the cold molecular gas traced by the low-J CO line emission. The measured CO J = 2–1 line luminosities of BRI 1202−0725 are K km s−1 pc2 and K km s−1 pc2 for the submillimeter galaxy (SMG) and quasar, respectively, which are equal to previous measurements of the CO J = 5–4 line luminosities implying thermalized line emission, and we estimate a combined cold molecular gas mass of ∼9×1010 M☉. In BRI 1335−0417 we measure K km s−1 pc2. We detect continuum emission in the SMG BRI 1202−0725 North (S44 GHz = 51 ± 6 μJy), while the quasar is detected with S44 GHz = 24 ± 6 μJy and in BRI 1335−0417 we measure S44 GHz = 40 ± 7 μJy. Combining our continuum observations with previous data at (rest-frame) far-infrared and centimeter wavelengths, we fit three-component models in order to estimate the star formation rates. This spectral energy distribution fitting suggests that the dominant contribution to the observed 44 GHz continuum is thermal dust emission, while either thermal free–free or synchrotron emission contributes less than 30%.