Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Engineering of Microalgal Based Biofuel Production: Prospects and Challenges

The current scenario in renewable energy is focused on development of alternate and sustainable energy sources, amongst which microalgae stands as one of the promising feedstock for biofuel production. It is well known that microalgae generate much larger amounts of biofuels in a shorter time than other sources based on plant seeds. However, the greatest challenge in a transition to algae-based biofuel production is the various other complications involved in microalgal cultivation, its harvesting, concentration, drying and lipid extraction. Several green microalgae accumulate lipids, especially triacylglycerols (TAGs), which are main precursors in the production of lipid. The various aspects on metabolic pathway analysis of an oleaginous microalgae i.e., Chlamydomonas reinhardtii have elucidated some novel metabolically important genes and this enhances the lipid production in this microalgae. Adding to it, various other aspects in metabolic engineering using OptFlux and effectual bioprocess design also gives an interactive snapshot of enhancing lipid production which ultimately improvises the oil yield. This article reviews the current status of microalgal based technologies for biofuel production, bioreactor process design, flux analysis and it also provides various strategies to increase lipids accumulation via metabolic engineering.
Cache with Adaptive Fetch Size

Current cache designs support only one xed line size Fixed line size limits cache s ability in spatial temporal locality utilization In this report we present a cache design with multiple fetch sizes for better cache performance The optimal fetch size is predicted based on memory access behavior to exploit changing application locality Overall a better performance is achieved by this cache design Experimental results on SPEC benchmarks show that this cache design signi cantly reduces cache miss rate It achieves as much as percent miss rate reduction for L caches and percent miss rate reduction for L caches At the same time the increase in tra c is small as little as percent between L and L cache and percent between L and the main memory
Elucidating the Relationship Between Personality Disorder Traits and Aggression Using the New DSM-5 Dimensional–Categorical Model for Personality Disorder

Objectives: Several personality disorders (PDs) and PD traits are associated with an increased propensity for aggression. However, these associations are complex, and knowledge in the field has been hindered by problems in the conceptualization and measurement of PD and related traits. This review considers the newly proposed Diagnostic and Statistical Manual of Mental Disorders (fifth edition; DSM-5) dimensional–categorical model of PD in an attempt to clarify the nature of the relationship between PD traits and aggression. This has not yet been explored. Method: A review of extant personality/PD and aggression literature was conducted. Results: The strongest associations likely exist between aggression and the DSM-5 domains of Antagonism and Negative Affectivity and for the following additional facets: Grandiosity, Attention-Seeking, and Separation Insecurity. Conclusions: This review and conceptualization provides a focus for future researchers to empirically elucidate the relationship between PD traits and aggression and for clinicians to more systematically assess and formulate relevant constructs to determine aggression potential in people with maladaptive PD traits, thereby enhancing aggression reduction treatment efforts.
The Janus‐faced atracotoxins are specific blockers of invertebrate KCa channels

The Janus‐faced atracotoxins are a unique family of excitatory peptide toxins that contain a rare vicinal disulfide bridge. Although lethal to a wide range of invertebrates, their molecular target has remained enigmatic for almost a decade. We demonstrate here that these toxins are selective, high‐affinity blockers of invertebrate Ca2+‐activated K+ (KCa) channels. Janus‐faced atracotoxin (J‐ACTX)‐Hv1c, the prototypic member of this toxin family, selectively blocked KCa channels in cockroach unpaired dorsal median neurons with an IC50 of 2 nm, but it did not significantly affect a wide range of other voltage‐activated K+, Ca2+ or Na+ channel subtypes. J‐ACTX‐Hv1c blocked heterologously expressed cockroach large‐conductance Ca2+‐activated K+ (pSlo) channels without a significant shift in the voltage dependence of activation. However, the block was voltage‐dependent, indicating that the toxin probably acts as a pore blocker rather than a gating modifier. The molecular basis of the insect selectivity of J‐ACTX‐Hv1c was established by its failure to significantly inhibit mouse mSlo currents (IC50 ∼ 10 μm) and its lack of activity on rat dorsal root ganglion neuron KCa channel currents. This study establishes the Janus‐faced atracotoxins as valuable tools for the study of invertebrate KCa channels and suggests that KCa channels might be potential insecticide targets.
A harmonic bandwidth extension method for audio codecs

Today's efficient audio codecs for low bitrate application scenarios often rely on parametric coding of the upper frequency band portion of a signal while the lower frequency band portion of the same is conveyed by a waveform preserving coding method. At the decoder, the upper frequency signal is approximated from the lower frequency data using the upper frequency band parameters. However, commonly used methods of bandwidth extension almost inevitably suffer from a sensation of unpleasant roughness, which is especially present for tonal music items. In this paper we expose the origin of the roughness and propose a bandwidth extension method, which does not introduce roughness into the reconstructed audio signal. A listening test demonstrates the advantage of the proposed method compared to a standard bandwidth extension.
Localized Broadcast Authentication in Large Sensor Networks

Although TESLA can provide the crucial broadcast authentication, it also introduces some problems (such as large verification delay) that limit its application in a large wireless sensor network due to the resource constraints. In this paper, we present a localized broadcast authentication protocol, namely L-TESLA, to address these problems. We consider a large sensor network where a few trusted and better secured nodes are deployed. We find that these trusted nodes can help divide sensor nodes in the network into several subsets, and coordinate broadcast authentication in the subsets. Thereby, all sensor nodes can verify a broadcast message as if they were in a small network. A secure protocol is developed to identify the subsets according to the deployment of the trusted nodes. The simulation results illustrate that a significant reduction in the average verification delay can be achieved in our scheme
Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams

The Video Quality Metric (VQM) is nowadays one of the most used objective methods to assess video quality, thanks to its high correlation with both the human visual system (HVS) and subjective methods. VQM is, however, not viable in real-time deployments such as mobile streaming, not only due to its high computational demands but, specifically, because it is a Full-Reference (FR) metric, which requires as input both the original video and its impaired counterpart. On the other hand, No-Reference (NR) objective algorithms operate directly on the impaired video and are considerably faster, but loose out when it comes to accuracy. In this research, we assess a range of NR metrics, alongside a lightweight FR metric, using VQM as benchmark. Our study covers a range of methods, a diverse set of video types and encoding conditions, and a range of network impairment test-cases. We show the extent by which packet loss affects different video types, correlating the accuracy of NR metrics to the FR benchmark. Our study helps identifying the conditions under which simple metrics may be used effectively and indicates an avenue to control the quality of streaming systems in line with human perception.
Prevention Conference VI: Diabetes and Cardiovascular Disease: Writing Group VI: revascularization in diabetic patients.

Patients with diabetes mellitus represent roughly 25% of the nearly 1.5 million surgical and percutaneous coronary revascularization procedures performed annually in the United States. Typically, diabetic patients have an increased number of associated risk factors and therefore experience increased morbidity and mortality during and after revascularization compared with nondiabetic patients. Associated comorbidities in the diabetic population that may contribute to poorer outcomes include hypertension, dyslipidemia, systolic and diastolic heart failure, autonomic dysfunction, peripheral vascular disease, cerebrovascular disease, microvascular disease, a prothrombotic state, and nephropathy.1 These comorbidities must be considered carefully when one evaluates the diabetic patient as a candidate for revascularization. ### Clinical Trials The acute angiographic success rates for balloon coronary angioplasty (percutaneous transluminal coronary angioplasty [PTCA]) in diabetic patients (85% to 95%) have been comparable to those for nondiabetics; however, major adverse cardiac events are generally higher among patients with diabetes. A nearly 2-fold increase in 9-year mortality (36.9% versus 17.9%, P <0.01) was reported for diabetic patients compared with nondiabetic patients after PTCA in the National Heart, Lung, and Blood Institute registry.2 The increased incidence of restenosis and associated need for revascularization among diabetic patients after PTCA has led to speculation about the possible advantages of coronary bypass grafting (CABG) and novel percutaneous coronary intervention (PCI) techniques for this group.3,4⇓ The Bypass Angioplasty Revascularization Investigation (BARI) trial reported a highly significant difference in survival for randomized patients with treated diabetes and 2- or 3-vessel disease who underwent CABG compared with PTCA (76% versus 56%, P =0.0011), with substantially higher subsequent revascularization rates among the PTCA group (60% versus 13%, P <0.001). 5 However, the benefits of CABG were seen only for those patients receiving at least 1 arterial conduit during CABG. In contrast to the findings for randomized patients in BARI, treated diabetic patients in the …
Application of a new Iterative pseudo-inverse Jacobian Neural Network Matrix technique for controlling geckodrive DC motors of manipulators

In controlling arobot's end-effector and joints movement space, one of the most important problems is to know the joints' relative displacements with extreme precision. The control of angular displacements in joints must be done by accurately commanding the movement of each motor in the joints after applying the forward and inverse kinematics problem. While this problem could be solved online, it is usually solved offline. In this paper a very precise proper technique has been developed to solve the inverse kinematics problem in robots with redundant chains. The technique is called Iterative Pseudo Inverse Jacobian Matrix Method (IPIJMM) coupled with Sigmoid Bipolar Hyperbolic Tangent Neural Network with Time Delay and Recurrent Links (SBHTNN-TDRL). Solving the inverse kinematics problem is very difficult when the degrees of freedom increase and in many cases becomes impossible due to the existence of redundant solutions. All such cases must be solved by numerical iterative approximation technique, as our proposed technique combined with intelligence algorithms. In this paper the virtual LabVIEW instrumentation is used to obtain the space curves in different Euler planes by using anarm robot, acquisition board, Geckodrive for each joint, controlled by the proposed algorithm. As a result of applying the proposed technique, the errors of the space movement of the robot's end-effector was less than 0.001 mm. The presented technique and the used virtual instrumentation (VI) are general and can be used for any robot types and application, as well as for any other conventional and unconventional space curves.
The Central Support of the Plancherel Measure of an Affine Hecke Algebra

Abstract: We give conceptual proofs of certain basic properties of the arrangement of shifted root hyperplanes associated to a root system R0 and a W0=W(R0)-invariant real valued parameter function on R0. The method is based on the role of this shifted root hyperplane arrangement for the harmonic analysis of affine Hecke algebras. In addition this yields a conceptual proof of the description of the central support of the Plancherel measure of an affine Hecke algebra given by the author earlier. Keywords. Affine Hecke algebra, Plancherel measure, positivity, residue calculus, support
Pseudo genetic and probabilistic-based feature selection method for extractive single document summarization

Text features, as a scoring mechanism, are used to identify the key ideas in a given document to be represented in the text summary. Considering all fe atures within same the level of importance may lead to generate a summary with low quality. In this paper, we present a feature selection method using (pseud o) Genetic probabilistic-based Summarization (PGPSum) model for extractive single document summarization. The proposed method, working as features selection mechanism, is used to extract the weights of features from texts. Then, the weights w ill be used to tune features’ scores in order to op timize the summarization process. In this way, important s entences will be selected for representing the docu ment summary. The results show that, our PGPSum model outperformed Ms-Word and Copernic summarizers benchmarks by obtaining a similarity ratio closest to human benchmark summary.
WaterLady: A Case Study for Connecting Physical Devices into Social Networks

An increasing number of connectable devices have been used in our everyday living environments. However, their working status usually cannot be remotely monitored in a ubiquitous way, leading to potential inefficiency in energy consumption. In this paper, we conducted a case study to investigate the effectiveness of connecting devices into social networks for status monitoring. In our study, we developed Water Lady, a water dispenser that posts its working status automatically to one of the biggest social networks in China, and interacts with human beings in this social network. Our evaluation revealed that this approach is convenient, efficient and reliable. Moreover, users' acceptance is much higher than expected. Finally, the personification of physical device is well received by social network users.
Eulerian two-phase modeling of cavitation for high-speed UUV using different turbulence models

The cavitation will occur when the speed of UUV(Unmanned Underwater Vehicle) exceeds the threshold. The research of cavitation is significant for the high-speed UUV research. Two different turbulence models are respectively used to study the time-averaged and instantaneous cavitation two-phase flows in the present work. The Euler-Euler approach is used to describe the phase equations of the water and vapor. The Schnerr and Sauer model is used to describe the mass transfer due to the cavitation. Firstly, the time-averaged cavitation flow in a cylindrical model is simulated using the renormalization-group(RNG) k-ε turbulence model. Good quantitative agreement with experimental data is obtained both for the vapor volume fraction and static pressure of different cavitation numbers. Next, transient computation is performed using the large eddy simulation(LES) with Smagorinsky subgrid scale model(SGS) to study the time-dependent cavitation flow of a hydrofoil model. The predicted transient cavitation behavior and cavities shedding in the hydrofoil model agree well with experimental observations. Thus, the LES can be effectively used for studying the cavity shedding and the instantaneous cavitation flow.
Intergenerational Mobility and Assortative Mating: Effects of an Educational Reform. CEE DP 91.

This paper provides new evidence on the role of the educational system for intergenerational mobility. I evaluate an educational reform, implemented in Sweden in the 1950s, which postponed ability tracking and extended compulsory education from seven to nine years. The reform may have influenced intergenerational mobility by several different mechanisms. First, there is the possibility of a direct effect of extending compulsory education. Second, the age at which ability tracking takes place can be crucial for the educational choice. In particular, the earlier the tracking, the more likely it is that the schooling decision is made by the parents. Third, recognizing that economic well-being is determined by the income of the household, assortative mating plays a major role in the mobility process. I argue that the peer group in which couples form can be affected by the educational system, and evaluate how the reform affects intergenerational mobility through changes in assortative mating. Differences-indifferences estimates and sibling-difference estimates indicate that the reform indeed resulted in a sizeable increase in intergenerational income mobility, and in a lower educational association between children and parents. The reform also contributed to reducing the association in education between an individual’s partner and parents, which I interpret as an effect operating through reform effects on mating patterns.
Chinese Female Undergraduate’s Explicit and Implicit Attitude toward Chinese Skincare Brands and Japanese and South Korean Skincare Brands

The study aimed to explore the Chinese female college students’ attitudes toward skincare brands (including Chinese brands and Japanese and Korean brands) by comparing the results of self-report survey and the Implicit Association Test (IAT). The results showed that participants have inconsistent response patterns in explicit/implicit measures toward Chinese brands and Japanese and Korean brands, and both explicit and implicit attitude measures are significantly differences. That is, participants holds a more positive attitude on Japanese and Korean brands than Chinese brands in explicit attitude, but a more negative in implicit attitude.
Retinal Image Analysis using Ripplet-I Transform and Segmentation using Morphological Gradient

— The network of the retinal blood vessels is distinctive for each individual. These Blood vessels when segmented can be used for medical applications. Retinal image enhancement is needed before starting vessel detection. It is greatly required to extract certain features that may help in diagnosis and treatment of some diseases such as diabetes. Applications may also include ocular fundas operation as well in human recognition. Intrinsic characteristics of the retinal images make the vessel detection process difficult. Here we propose an algorithm to detect these vessels effectively. The Ripplet I transform has the efficiency in representing edges and textures and it also can be used to capture the 2D singularities along a family of curves in images. Thus applying this transform to enhance the retinal image edges prepares the image for the segmentation part. The segmentation of the image is done using morphological operators. Reconstruction is done using morphological operators which is been used to extract the connected components of an image. Thus resulting in the segmented blood vessels which is been used in medical applications.
Planar acoustic metamaterials with the active control of acoustic impedance using a piezoelectric composite actuator

In the paper, there are presented methods for a precise active control of the acoustic impedance of large planar structures, e.g glass plates or shells, by means of distributed flexible piezoelectric composite actuators which are connected to passive or active electronic shunt circuits. Design of tunable acoustic metamaterials is realized using Finite Element Method simulations and their acoustic properties are evaluated using acoustic transmission loss measurements. Static and dynamic displacements of the metamaterials produced by electric voltage are measured using Digital Holographic Interferometry. We believe that deep understanding of presented systems should result in future applications that improve the quality of everyday life.
PPP Strikes Back: Aggregation and the Real Exchange Rate

Internet, voice calls, and messaging services have become ubiquitous and the means by which the services are accessed varies widely. The number and types of devices that may use these services have also proliferated. To serve a number and variety of client devices, a mobile Hotspot may be used, which is a device that may include a modem for mobile broadband access and a short range wireless link to distribute the services to local devices which may have such connectivity. Power consumption of battery powered client devices is an important consideration. A method and apparatus are disclosed that enable a client device to receive paging information from the mobile networks through a mobile Hotspot over a short range wireless link which may reduce power consumption of client devices.
2 ! Related Work

In this research, the well-known microblogging site, Twitter, was used for a sentiment analysis investigation. We propose an ensemble learning approach based on the meta-level features of seven existing lexicon resources for automated polarity sentiment classification. The ensemble employs four base learners (a Two-Class Support Vector Machine, a Two-Class Bayes Point Machine, a Two-Class Logistic Regression and a Two-Class Decision Forest) for the classification task. Three different labelled Twitter datasets were used to evaluate the effectiveness of this approach to sentiment analysis. Our experiment shows that, based on a combination of existing lexicon resources, the ensemble learners minimize the error rate by avoiding poor selection from stand-alone classifiers.
Systemic Approach Towards Enterprise Functional Decomposition

Functional decomposition is the primary component of enterprise activities description and is often associated with business process architecture. It guides any business improvement initiative, enables to design the enterprise construction -- organizational structure, IT- and HR-architectures, etc, as well as to deploy goals and strategies. The paper suggests the framework for enterprise functional decomposition, which includes the ontology for enterprise activities description, foundations and the process of functional decomposition. The suggested framework integrates the following features: alignment with goals decomposition, support for reference models and other reusable activities descriptions, recursive decomposition using a single activities pattern, value-based management and ISO 9004:2009 harmonization. The paper also describes framework implementation at Russian enterprises and IT tool to support the approach.