Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanisms of femtosecond laser nanosurgery of cells and tissues

We review recent advances in laser cell surgery, and investigate the working mechanisms of femtosecond laser nanoprocessing in biomaterials with oscillator pulses of 80-MHz repetition rate and with amplified pulses of 1-kHz repetition rate. Plasma formation in water, the evolution of the temperature distribution, thermoelastic stress generation, and stress-induced bubble formation are numerically simulated for NA = 1.3, and the outcome is compared to experimen- tal results. Mechanisms and the spatial resolution of fem- tosecond laser surgery are then compared to the features of continuous-wave (cw) microbeams. We find that free electrons are produced in a fairly large irradiance range below the op- tical breakdown threshold, with a deterministic relationship between free-electron density and irradiance. This provides a large 'tuning range' for the creation of spatially extremely confined chemical, thermal, and mechanical effects via free- electron generation. Dissection at 80-MHz repetition rate is performed in the low-density plasma regime at pulse ener- gies well below the optical breakdown threshold and only slightly higher than used for nonlinear imaging. It is medi- ated by free-electron-induced chemical decomposition (bond breaking) in conjunction with multiphoton-induced chemistry, and hardly related to heating or thermoelastic stresses. When the energy is raised, accumulative heating occurs and long- lasting bubbles are produced by tissue dissociation into volatile fragments, which is usually unwanted. By contrast, dissec- tion at 1-kHz repetition rate is performed using more than 10-fold larger pulse energies and relies on thermoelastically induced formation of minute transient cavities with lifetimes < 100 ns. Both modes of femtosecond laser nanoprocess- ing can achieve a 2-3 fold better precision than cell surgery using cw irradiation, and enable manipulation at arbitrary locations.
A novel PCA perspective mapping for robust lane detection in urban streets

Lane detection has been an active research subject in recent years which has a wide range of applications in intelligent transportation systems. Various approaches have been proposed to solve this problem but most of them suffer from lack of robustness towards noise, illumination and occlusion. In this paper, we propose a novel lane detection method which consists of three major parts:(1) lane detection, (2) perspective mapping and (3) lane selection. In order to solve the perspective issue in the acquisition of input image, we introduce a novel method based on Principal Component Analysis (PCA). More over, we employ a rotated rectangle model which leads to more accurate lane detection. The proposed method is evaluated through five different scenarios namely, occlusion, illumination change, crowded scene, noncrowded scene and noisy image. Experimental results proved that our method is accurate and robust to aforementioned scenarios. A comparison between a respectable lane detection method and ours demonstrates that the proposed method has better accuracy and robustness.
Local Sparse Representation Based Classification

In this paper, we address the computational complexity issue in Sparse Representation based Classification (SRC). In SRC, it is time consuming to find a global sparse representation. To remedy this deficiency, we propose a Local Sparse Representation based Classification (LSRC) scheme, which performs sparse decomposition in local neighborhood. In LSRC, instead of solving the L1-norm constrained least square problem for all of training samples we solve a similar problem in a local neighborhood for each test sample. Experiments on face recognition data sets ORL and Extended Yale B demonstrated that the proposed LSRC algorithm can reduce the computational complexity and remain the comparative classification accuracy and robustness.
Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price Typicality-based Collaborative Filtering Recommendation

Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy, and big-error in predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A distinct feature of typicality-based CF is that it finds " neighbors " of users based on user typicality degrees in user groups (instead of the corated items of users, or common users of items, as in traditional CF). To the best of our knowledge, there has been no prior work on investigating CF recommendation by combining object typicality. TyCo outperforms many CF recommendation methods on recommendation accuracy (in terms of MAE) with an improvement of at least 6.35 percent in Movielens data set, especially with sparse training data (9.89 percent improvement on MAE) and has lower time cost than other CF methods.Further, it can obtain more accurate predictions with less number of big-error predictions.
Speaker change detection using features through a neural network speaker classifier

The mechanism proposed here is for real-time speaker change detection in conversations, which firstly trains a neural network text-independent speaker classifier using in-domain speaker data. Through the network, features of conversational speech from out-of-domain speakers are then converted into likelihood vectors, i.e., similarity scores comparing to the in-domain speakers. These transformed features demonstrate very distinctive patterns, which facilitates differentiating speakers and enable speaker change detection with some straight-forward distance metrics. The speaker classifier and the speaker change detector are trained/tested using speech of the first 200 (in-domain) and the remaining 126 (out-of-domain) male speakers in TIMIT, respectively. For the speaker classification, 100% accuracy at a 200 speaker size is achieved on any testing file, given the speech duration is at least 0.97 seconds. For the speaker change detection using speaker classification outputs, performance based on 0.5,1, and 2 seconds of inspection intervals were evaluated in terms of error rate and F1 score, using synthesized data by concatenating speech from various speakers. It captures close to 97% of the changes by comparing the current second of speech with the previous second, which is very competitive among literature using other methods.
Network traffic data analysis based on DGX

Skewed data appear frequently in network traffic data, this paper focuses on modeling and analyzing these skewed data. The research on data distribution model plays an important role in data mining. In many fields of science, various models have been proposed to describe skewed data. Most of them only perform well for particular data sets, but fail with others. The purpose of this paper is to fit and analyze the skewed data in network traffic data with Discrete Gaussian Exponential (DGX), and to estimate the model parameters with genetic algorithm.
Performance evaluation and optimization of join operation in spark for big data processing

Now Spark is the most important big data distributed computing framework. Join appears frequently in Spark programs, such as PageRank algorithm. Due to join operation will bring lots of Shuffle, thus it costs much time in big data processing. In this paper, we optimize each iteration and total application of PageRank algorithm using broadcast, cache and broadcast-cache in three ways respectively. Experiment data show that broadcast, cache can reduce Shuffle effectively, and thus greatly decrease running time of job. The effect is significant.
CANAL DISH (CD), THE NEW ANTIMICROBIAL TESTING APPARATUS

Objective: This writing aims to introduce new antimicrobial test apparatus called Canal Dish (CD), theoretically. Methods: We have designed two types of CD such as Circular CD (CCD) and Square CD (SCD). Internally, the CCD is a 80 mm diameter circular while the SCD is a 80×80 mm square CD plate. Both of them contain 2(40×2) mm parallel travelling canals from the each CD-centre having radius of 3 mm. Canals are 6 mm in depth. Results: The features of CCD and SCD indicate possible allowance of various size, low media consuming, the inclusion of multiple microorganisms and/or test samples/doses, ease of handling; therefore, understanding, rapidity, and economy. Conclusion: CD may replace currently used Petri dishes due to its cost-effectiveness, rapidity, ease of handling and a wider range of applicability. Keywords : Antimicrobial assay, Canal dish, Circular, Square, New apparatus
Nonlinear Bending Response and Buckling of Channel Section Beams of Finite Length under Minor-Axis Pure Bending

In this paper, the geometric nonlinear bending response of channel-section beams of finite length is investigated by using energy methods. The basic assumptions used in the present study are that the total strain energy of a channel-section beam subjected to pure bending can be simplified into a two-stage analysis process. One is the local bending response of the web behaving as the plate; the other is the overall bending response as a beam with flattened section. Analytical solutions for both static and dynamic instabilities of channel section beams of finite length subjected to pure bending about its minor axis are derived by applying the minimum potential energy principle. To validate the analytical solution developed, geometric nonlinear finite element analyses are also conducted. Good agreement between the present solution and the FEA results is demonstrated. The effect of beam's length on the critical load is also discussed.
Early exposure to parental bipolar disorder and risk of mood disorder: the Flourish Canadian prospective offspring cohort study

Exposure to postnatal parental depression is associated with offspring mood disorder later in life; however, little is known about exposure to parental bipolar disorder (BD) and subsequent risk of psychopathology. The aim of this study was to determine the association between the duration, severity and timing of exposure to parental BD in early childhood and subsequent risk of mood disorder.
Domain III of Bacillus thuringiensis Cry1Ie Toxin Plays an Important Role in Binding to Peritrophic Membrane of Asian Corn Borer

The insecticidal IE648 toxin is a truncated Cry1Ie protein with increased toxicity against Asian corn borer (ACB). Cry toxins are pore-forming toxins that disrupt insect midgut cells to kill the larvae. However, the peritrophic membrane (PM) is an important barrier that Cry toxins must cross before binding to midgut cells. Previously, it was shown that Cry toxins are able to bind and accumulate in the PM of several lepidopteran insects. Binding of IE648 toxin to PM of ACB was previously reported and the goal of the current work was the identification of the binding region between Cry1Ie and the PM of ACB. Homologous competition binding assays showed that this interaction was specific. Heterologous competition binding assays performed with different fragments corresponding to domain I, domain II and domain III allowed us to identify that domain III participates in the interaction of IE648 with the PM. Specifically, peptide D3-L8 (corresponding to Cry1Ie toxin residues 607 to 616), located in an exposed loop region of domain III is probably involved in this interaction. Ligand blot assays show that IE648 interact with chitin and PM proteins with sizes of 30, 32 and 80 kDa. The fact that domain III interacts with proteins of similar molecular masses supports that this region of the toxin might be involved in PM interaction. These data provide for the first time the identification of domain III as a putative binding region between PM and 3D-Cry toxin.
Gossip Based Streaming with Incentives for Peer Collaboration

Peer-to-peer (P2P) systems are becoming a popular means of streaming audio and video content but they are prone to bandwidth starvation if selfish peers do not contribute bandwidth to other peers. We prove that an incentive mechanism can be created for a live streaming P2P protocol while preserving the asymptotic properties of randomized gossip based streaming without any incentives. In order to show the utility of our result, we adopt a distributed incentive scheme from P2P file storage literature to the live streaming scenario. We provide simulation results that confirm the ability to achieve a constant download rate (in time, per peer) that is needed for streaming applications on peers. The incentive scheme fairly differentiates peers' download rates according to how much useful bandwidth they contribute back to the P2P system, thus creating a powerful quality of service incentive for peers to contribute bandwidth to other peers. In addition we provide preliminary data from a real implementation of a gossip based streaming application
Novel climates reverse carbon uptake of atmospherically dependent epiphytes: Climatic constraints on the iconic boreal forest lichen Evernia mesomorpha.

PREMISE OF THE STUDY Changing climates are expected to affect the abundance and distribution of global vegetation, especially plants and lichens with an epiphytic lifestyle and direct exposure to atmospheric variation. The study of epiphytes could improve understanding of biological responses to climatic changes, but only if the conditions that elicit physiological performance changes are clearly defined. METHODS We evaluated individual growth performance of the epiphytic lichen Evernia mesomorpha, an iconic boreal forest indicator species, in the first year of a decade-long experiment featuring whole-ecosystem warming and drying. Field experimental enclosures were located near the southern edge of the species' range. KEY RESULTS Mean annual biomass growth of Evernia significantly declined 6 percentage points for every +1°C of experimental warming after accounting for interactions with atmospheric drying. Mean annual biomass growth was 14% in ambient treatments, 2% in unheated control treatments, and -9% to -19% (decreases) in energy-added treatments ranging from +2.25 to +9.00°C above ambient temperatures. Warming-induced biomass losses among persistent individuals were suggestive evidence of an extinction debt that could precede further local mortality events. CONCLUSIONS Changing patterns of warming and drying would decrease or reverse Evernia growth at its southern range margins, with potential consequences for the maintenance of local and regional populations. Negative carbon balances among persisting individuals could physiologically commit these epiphytes to local extinction. Our findings illuminate the processes underlying local extinctions of epiphytes and suggest broader consequences for range shrinkage if dispersal and recruitment rates cannot keep pace.
Person-following based on social navigation into the sensorized environments

This paper presents the design of a kinematic controller for autonomous person-following based on social navigation for human-robot interaction purposes. This controller modifies the length of personal space using the human velocity in order to allow the human user senses a natural movement by mobile robot. In this way, the social behavior is incorporated into the controller, allowing a social navigation of differential drive mobile robot (DDMR) in shared environments in both cases, sensorized environments or humans users that wear an inertial movement unit (IMU) in order to track the position. The stability proof of closed-loop control system is based on Lyapunov theory. Simulations show a good performance when human user moves forwards backwards, and also through an arbitrary path.
Cell internalization of 7-ketocholesterol-containing nanoemulsion through LDL receptor reduces melanoma growth in vitro and in vivo: a preliminary report

Oxysterols are cholesterol oxygenated derivatives which possess several biological actions. Among oxysterols, 7-ketocholesterol (7KC) is known to induce cell death. Here, we hypothesized that 7KC cytotoxicity could be applied in cancer therapeutics. 7KC was incorporated into a lipid core nanoemulsion. As a cellular model the murine melanoma cell line B16F10 was used. The nanoparticle (7KCLDE) uptake into tumor cells was displaced by increasing amounts of low-density-lipoproteins (LDL) suggesting a LDL-receptor-mediated cell internalization. 7KCLDE was mainly cytostatic, which led to an accumulation of polyploid cells. Nevertheless, a single dose of 7KCLDE killed roughly 10% of melanoma cells. In addition, it was observed dissipation of the transmembrane potential, evidenced with flow cytometry; presence of autophagic vacuoles, visualized and quantified with flow cytometry and acridine orange; and presence of myelin figures, observed with ultrastructural microscopy. 7KCLDE impaired cytokenesis was accompanied by changes in cellular morphology into a fibroblastoid shape which is supported by cytoskeletal rearrangements, as shown by the increased actin polymerization. 7KCLDE was injected into B16 melanoma tumor-bearing mice. 7KCLDE accumulated in the liver and tumor. In melanoma tumor 7KCLDE promoted a >50% size reduction, enlarged the necrotic area, and reduced intratumoral vasculature. 7KCLDE increased the survival rates of animals, without hematologic or liver toxicity. Although more pre-clinical studies should be performed, our preliminary results suggested that 7KCLDE is a promising novel preparation for cancer chemotherapy.
Oblivious outsourcing of garbled circuit generation

Yao's garbled circuit technique is often used in outsourced computation. Current approaches divide the computation to two or more servers. The assumption is that the servers collaborate in offering the outsourced computation, but do not share data. This seems somewhat paradoxical in the current cloud economy. We therefore propose oblivious outsourcing where one server is unaware that other servers are involved. We present a garbled circuit generation outsourcing scheme built on lattice-based cryptography implementing this model. Our scheme does not increase the cost of circuit evaluation, but achieves a speed up of 98% (factor 55) for circuit generation.
Extremely thin layer plastification for focused‐ion beam scanning electron microscopy: an improved method to study cell surfaces and organelles of cultured cells

Since the recent boost in the usage of electron microscopy in life‐science research, there is a great need for new methods. Recently minimal resin embedding methods have been successfully introduced in the sample preparation for focused‐ion beam scanning electron microscopy (FIB‐SEM). In these methods several possibilities are given to remove as much resin as possible from the surface of cultured cells or multicellular organisms. Here we introduce an alternative way in the minimal resin embedding method to remove excess of resin from two widely different cell types by the use of Mascotte filter paper. Our goal in correlative light and electron microscopic studies of immunogold‐labelled breast cancer SKBR3 cells was to visualise gold‐labelled HER2 plasma membrane proteins as well as the intracellular structures of flat and round cells. We found a significant difference (p < 0.001) in the number of gold particles of selected cells per 0.6 μ m2 cell surface: on average a flat cell contained 2.46 ± 1.98 gold particles, and a round cell 5.66 ± 2.92 gold particles. Moreover, there was a clear difference in the subcellular organisation of these two cells. The round SKBR3 cell contained many organelles, such as mitochondria, Golgi and endoplasmic reticulum, when compared with flat SKBR3 cells. Our next goal was to visualise crosswall associated organelles, septal pore caps, of Rhizoctonia solani fungal cells by the combined use of a heavy metal staining and our extremely thin layer plastification (ETLP) method. At low magnifications this resulted into easily finding septa which appeared as bright crosswalls in the back‐scattered electron mode in the scanning electron microscope. Then, a septum was selected for FIB‐SEM. Cross‐sectioned views clearly revealed the perforate septal pore cap of R. solani next to other structures, such as mitochondria, endoplasmic reticulum, lipid bodies, dolipore septum, and the pore channel. As the ETLP method was applied on two widely different cell types, the use of the ETLP method will be beneficial to correlative studies of other cell model systems and multicellular organisms.
Topic-level social network search

We study the problem of topic-level social network search, which aims to find who are the most influential users in a network on a specific topic and how the influential users connect with each other. We employ a topic model to find topical aspects of each user and a retrieval method to identify influential users by combining the language model and the topic model. An influence maximization algorithm is then presented to find the sub network that closely connects the influential users. Two demonstration systems have been developed and are online available. Empirical analysis based on the user's viewing time and the number of clicks validates the proposed methodologies.
Corporate Strategy

Lake Resources is exploring for epithermal gold and porphyry copper-gold deposits in the Chagai region in western Balochistan. These results are interpreted to support potential for a significant gold target, with possible supergene copper in the LRM001 – LRMRC003/005/018/019 area. The copper-gold association could indicate potential for porphyry copper-gold mineralization beneath this area. To the north, drillholes LRMRC 010 – 017 intersected zones of geochemically anomalous molybdenum (>5 ppm up to 130 ppm) and copper (>300 ppm up to 1675 ppm). Minor gold was intersected in some of these drillholes:
Theoretical Investigation of the Electronic Properties in BN Nanowires

Theoretical investigation of BN nanowires have been performed by density functional theory (DFT). The energy gap and electronic properties of BN nanowires (BNNWs) in the direction of growth [001] and [111] have been calculated. The calculations show that both nanowires exhibit a wide band gap at center of Brillouin zone, and the calculated band gaps are 1.90eV and 2.40eV, respectively. Noticeably, in the absence of any bias voltage, the transmission spectrum exhibit a region of zero transmission and a step-like behavior.