Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced production of Aspergillus tamarii lipase for recovery of fat from tannery fleshings

The influence of various oil cakes has been investigated for high level production of lipase using Aspergillus tamarii MTCC 5152. By solid state fermentation in wheat bran containing 2.5% w/w gingili oil cake at 70% v/w moisture content the fungus produced a maximal yield of lipase (758 ± 3.61 u/g) after 5 days of incubation using 2% v/w inoculum containing 106 spores/mL. Wheat bran and gingili oil cake with supplementation of gingili oil (1.0% w/w), glucose (0.5% w/w) and peptone (0.5% w/w) gives an increased enzyme production of 793 ± 6.56 u/g. The enzyme shows maximum activity at pH 7.0, temperature 50 °C and was stable between the pH 5.0–8.0 and temperature up to 60 °C. Crude lipase (3%) applied to tannery fleshing shows 92% fat solubility. The results demonstrate that fat obtained from tannery fleshing, a by-product of the leather industry has a high potential for biodiesel production and the proteinaceous residue obtained can be used as animal feed.
Two Roads Diverged: A Semantic Network Analysis of Guanxi on Twitter

Guanxi, roughly translated as "social connection", is a term commonly used in the Chinese language. In this research, we employed a linguistic approach to explore popular discourses on Guanxi. Although sharing the same Confucian roots, Chinese communities inside and outside Mainland China have undergone different historical trajectories. Hence, we took a comparative approach to examine guanxi in Mainland China and in Taiwan, Hong Kong, and Macau (TW-HK-M). Comparing guanxi discourses in two Chinese societies aims at revealing the divergence of guanxi culture. The data for this research were collected on Twitter over a three-week period by searching tweets containing guanxi written in Simplified Chinese characters and in Traditional Chinese characters. After building, visualising, and conducting community detection on both semantic networks, two guanxi discourses were then compared in terms of their major concept sub-communities. This research aims at addressing two questions: Has the meaning of guanxi transformed in contemporary Chinese societies? And how do different socio-economic configurations affect the practice of guanxi? Results suggest that guanxi in interpersonal relationships has adapted to a new family structure in both Chinese societies. In addition, the practice of guanxi in business varies in Mainland China and in TW-HK-M. Furthermore, an extended domain was identified where guanxi is used in a macro-level discussion of state relations. Network representations of the guanxi discourses enabled reification of the concept and shed lights on the understanding of social connections and social orders in contemporary China.
Parallel BLAST on split databases

SUMMARY BLAST programs often run on large SMP machines where multiple threads can work simultaneously and there is enough memory to cache the databases between program runs. A group of programs is described which allows comparable performance to be achieved with a Beowulf configuration in which no node has enough memory to cache a database but the cluster as an aggregate does. To achieve this result, databases are split into equal sized pieces and stored locally on each node. Each query is run on all nodes in parallel and the resultant BLAST output files from all nodes merged to yield the final output. AVAILABILITY Source code is available from ftp://saf.bio. caltech.edu/
STOMP: Stochastic trajectory optimization for motion planning

We present a new approach to motion planning using a stochastic trajectory optimization framework. The approach relies on generating noisy trajectories to explore the space around an initial (possibly infeasible) trajectory, which are then combined to produced an updated trajectory with lower cost. A cost function based on a combination of obstacle and smoothness cost is optimized in each iteration. No gradient information is required for the particular optimization algorithm that we use and so general costs for which derivatives may not be available (e.g. costs corresponding to constraints and motor torques) can be included in the cost function. We demonstrate the approach both in simulation and on a mobile manipulation system for unconstrained and constrained tasks. We experimentally show that the stochastic nature of STOMP allows it to overcome local minima that gradient-based methods like CHOMP can get stuck in.
Loss of Resting-State Posterior Cingulate Flexibility Is Associated with Memory Disturbance in Left Temporal Lobe Epilepsy

The association between cognition and resting-state fMRI (rs-fMRI) has been the focus of many recent studies, most of which use stationary connectivity. The dynamics or flexibility of connectivity, however, may be seminal for understanding cognitive functioning. In temporal lobe epilepsy (TLE), stationary connectomic correlates of impaired memory have been reported mainly for the hippocampus and posterior cingulate cortex (PCC). We therefore investigate resting-state and task-based hippocampal and PCC flexibility in addition to stationary connectivity in left TLE (LTLE) patients. Sixteen LTLE patients were analyzed with respect to rs-fMRI and task-based fMRI (t-fMRI), and underwent clinical neuropsychological testing. Flexibility of connectivity was calculated using a sliding-window approach by determining the standard deviation of Fisher-transformed Pearson correlation coefficients over all windows. Stationary connectivity was also calculated. Disturbed memory was operationalized as having at least one memory subtest score equal to or below the 5th percentile compared to normative data. Lower PCC flexibility, particularly in the contralateral (i.e. right) hemisphere, was found in memory-disturbed LTLE patients, who had up to 22% less flexible connectivity. No significant group differences were found with respect to hippocampal flexibility, stationary connectivity during both rs-fMRI and t-fMRI, or flexibility during t-fMRI. Contralateral resting-state PCC flexibility was able to classify all but one patient with respect to their memory status (94% accuracy). Flexibility of the PCC during rest relates to memory functioning in LTLE patients. Loss of flexible connectivity to the rest of the brain originating from the PCC, particularly contralateral to the seizure focus, is able to discern memory disturbed patients from their preserved counterparts. This study indicates that the dynamics of resting-state connectivity are associated with cognitive status of LTLE patients, rather than stationary connectivity.
An empirical property-based model for vulnerability analysis and evaluation

This work presents an empirical property-based model to describe web-based vulnerability. We define a web application using a new descriptive model with pre-condition, behavior, entity and communication property sets. The Vulnerable Property Relationship Graph (VPRG) defines a vulnerability as vulnerable properties in application with relations to other properties in cause- and consequence-relationships. The Vulnerable Property Relationship Matrix (VPRM) is used to quantify the existence vulnerability and to measure its impact according to the relations of vulnerable properties to other properties in execution of the web application. A severity score calculation is proposed based on VPRM: the vulnerability severity score is typically the sum of consequence as a result of state changes of every evolving property in the vulnerable property relationship model. The prototype model is applied to a case study involving specified web vulnerabilities.
Point-Light Biological Motion Perception Activates Human Premotor Cortex

Motion cues can be surprisingly powerful in defining objects and events. Specifically, a handful of point-lights attached to the joints of a human actor will evoke a vivid percept of action when the body is in motion. The perception of point-light biological motion activates posterior cortical areas of the brain. On the other hand, observation of others' actions is known to also evoke activity in motor and premotor areas in frontal cortex. In the present study, we investigated whether point-light biological motion animations would lead to activity in frontal cortex as well. We performed a human functional magnetic resonance imaging study on a high-field-strength magnet and used a number of methods to increase signal, as well as cortical surface-based analysis methods. Areas that responded selectively to point-light biological motion were found in lateral and inferior temporal cortex and in inferior frontal cortex. The robust responses we observed in frontal areas indicate that these stimuli can also recruit action observation networks, although they are very simplified and characterize actions by motion cues alone. The finding that even point-light animations evoke activity in frontal regions suggests that the motor system of the observer may be recruited to “fill in” these simplified displays.
Random Manhattan Indexing

Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the similarity of vectors -- and hence the text units that they represent -- is computed by a distance formula. The high dimensionality of vectors, however, is a barrier to the performance of methods that employ VSMs. Consequently, a dimensionality reduction technique is employed to alleviate this problem. This paper introduces a new method, called Random Manhattan Indexing (RMI), for the construction of L1 normed VSMs at reduced dimensionality. RMI combines the construction of a VSM and dimension reduction into an incremental, and thus scalable, procedure. In order to attain its goal, RMI employs the sparse Cauchy random projections.
A general translation from nested Petri nets into PROMELA

Nested Petri nets have been applied for modeling interaction protocols, mobility, adaptive systems and interorganizational workflows. However, few results have been reported on the use of automated tools for analyzing the behavior of these nets. In this paper we present a general translation from nested Petri nets into PROMELA and explain how some properties of these nets can be studied using SPIN model checker. Besides, we discuss how to deal with the main limitations that may influence SPIN performance when verifying practical examples.
Teachers' Perspectives Using the Instructional Quality Assessment as a Professional Development Tool

This chapter will provide readers with an overview of professional development created and enacted to support teachers' selection and implementation of cognitively demanding tasks using the Instructional Quality Assessment as the professional development tool. This case study seeks to give voice to mathematics teachers in third through eighth grades who participated in the professional development as they share their perspectives on using the instructional quality assessment rubrics and structure of professional development. The goal of this chapter is to provide an overview of the structure of the professional development, and share the aspects of the professional development the teachers identified as supportive or a hindrance when planning and implementing tasks in their mathematics classrooms. With this information, the article concludes by discussing ideas for future professional development aimed at providing teachers with instructional practices to incorporate into classrooms.
Dominance or Effectiveness? Which is More Important in Brand Personality Decisions?

In the post-modern age, consumers have developed strong relationships with brands as brands have become significant tools that are deliberately picked up by consumers to manifest their ideal self-image to others. Hence, one of the most crucial characteristics of a brand is its personality and the level of its congruence with its target market. Brand personality has become a widely-used element in brand positioning and communication strategies. In most academic studies, the dimensional structure of brand personality is assessed and the main personality trait with the highest score is accepted as the brand personality characteristic to be highlighted in marketing communication strategies. This study focuses on the effects of each dimension of brand personality on brand image, brand loyalty and willingness to recommend the brand to others in order to be able to determine which trait should be communicated in integrated marketing communications. The study was conducted on 4410 female respondents in Turkey. An online survey was applied. The results show that although the dominant brand personality trait was found to be a particular one; the most effective traits on brand loyalty, brand image and willingness to recommend the brand to others were completely different.
Long distance vs proximal romantic relationships: Predicting commitment, investments, and bias

The present study examined cognitive biases in dating partners involved in long distance (LDR) and proximal (PR) romantic relationships; specifically, we investigated whether couple members are biased to believe their relationship type is "better. " We also examined if LDRs and PRs differ in relationship variables including satisfaction, alternatives, and investments. Bias was measured using a modified version of the investment model scale (Rusbult et al., 1998). Participants completed the items from three different perspectives: their current relationship, their perception of the "average" PR, and the "average" LDR. Results showed that people in LDRs and PRs have more similarities than differences. Once one becomes a young adult it is very common to become involved in a romantic relationship. One of the prime periods of life when romantic relationships become a focus is during college, and a scenario some college students face is keeping the relationship from high school with a romantic partner who decides to attend a different university. This relationship will then become "long distance. " Long distance relationships (LDRs) have been studied throughout the years, partially because they allow for investigations regarding the various conditions in which partners choose to maintain a relationship in less than ideal conditions (e.g., Rohfing, 1995, as cited in VanHorn, Arnone, Nesbitt, Desilets, Sears, Giffin, & Brudi, 1997). Due to the economy, the issue of distance relationships is becoming increasingly important for people of all ages, because it is now common for one partner to seek employment outside his or her residential area in an effort to sustain income for the household. Partners put in situations in which they are separated by distance must then learn coping strategies for the relationship (Mattioli, 2009). One possible coping mechanism is a cognitive bias that justifies the relationship as "better" than another choice (such as breaking up or remaining in the same city); thus, the purpose of the current research was to investigate (a) whether LDRs differ in significant ways from proximal relationships (PRs), and (b) whether relationship partners maintain a biased view of their own type of relationship.
Inheritance and the Intergenerational Transmission of Poverty in Sub-Saharan Africa: Policy Considerations

In many Sub-Saharan African societies, inheritance is one of the most common means by which physical property is transferred from one generation to another. As such, policy initiatives concerning the intergenerational transmission of poverty (IGT poverty) would do well to attend to how inheritance systems are governed, and particularly which considerations affect who is included and excluded. This requires examination of both legal and political rights of property ownership, as well as context-specific values, norms and dynamics of social organisation.This paper is a review of existing research and policy that address issues of inheritance and IGT poverty. It is organised into three main sections: the first outlines what is known about how inheritance correlates with IGT poverty; the middle section discusses specific initiatives that have been proposed or taken to affect inheritance in Sub-Saharan African countries; and the last section lists some key points for policy makers and researchers to consider in developing future initiatives concerning inheritance and IGT poverty.
2 Awareness and the 3 C Collaboration Model in GSD environments

Global Software Development (GSD) has gained popularity lately and challenges and research opportunities appeared. The development team’s physical distribution imposes challenges related to awareness support during collaboration. According to the 3C collaboration model, awareness intermediates communication, cooperation, and coordination. In this paper, we present a systematic review of the literature that describes awareness studies aiming to improve GSD scenario, identifying which of the dimensions of the 3C model are supported by these studies. Results indicate that coordination is far the most explored dimension of 3C, while awareness supporting communication is very little studied and also show a very high number of new tools introduced in GSD domain.
Job Classification Based on LinkedIn Summaries CS 224

Using data provided by HiQ Lab a company specialized in data analysis for Human Resources we want to predict someone’s job category based on his job summary. Job summaries are created by users to describe their skills and tasks. Our goal is to use NLP to extract information from these free-form text fields and predict the occupation of the user.
3D Mesh Segmentation Methodologies for CAD applications

D mesh segmentation is a fundamental process for Digital Shape Reconstruction in a variety of applications including Reverse Engineering, Medical Imaging, etc. It is used to provide a high level representation of the raw 3D data which is required for CAD, CAM and CAE. In this paper, we present an exhaustive overview of 3D mesh segmentation methodologies examining their suitability for CAD models. In particular, a classification of the various methods is given based on their corresponding underlying fundamental methodology concept as well as on the distinct criteria and features used in the segmentation process.
Managing alerts in a multi-intrusion detection environment

There are several approaches for intrusion detectionbut none of them is fully satisfactory. They generallygenerate too many false positives and the alerts are tooelementary and not enough accurate to be directlymanaged by a security administrator. A promisingapproach is to develop a cooperation module to analyzealerts and to generate more global and synthetic alerts.This paper presents the work we did in this context withinthe MIRADOR project. We suggest specifications for threefunctions: alert base management, alert clustering andalert merging. The approach is compliant with theIDMEF format currently being defined at the IETF.
Low-Power CMOS Smart Temperature Sensor With a Batch-Calibrated Inaccuracy of ${\pm}{0.25}^{\circ}{\rm C}~({\pm}3\sigma)$ From ${-}{70}^{\circ}{\rm C}$ to 130 $^{\circ}{\rm C}$

In this paper, a low-power CMOS smart temperature sensor is presented. The temperature information extracted using substrate PNP transistors is digitized with a resolution of 0.03°C using a precision switched-capacitor (SC) incremental ΔΣ A/D converter. After batch calibration, an inaccuracy of ±0.25°C (±3) from -70°C to 130°C is obtained. This represents a two-fold improvement compared to the state-of-the-art. After individual calibration at room temperature, an inaccuracy better than ±0.1°C over the military temperature range is obtained, which is in-line with the state-of-the-art. This performance is achieved at a power consumption of 65 μW during a measurement time of 100 ms, by optimizing the power/inaccuracy tradeoffs, and by employing a clock frequency proportional to absolute temperature. The latter ensures accurate settling of the SC input stage at low temperatures, and reduces the effects of leakage currents at high temperatures.
DO SPIRALS AND ELLIPTICALS TRACE THE SAME VELOCITY FIELD

We test the hypothesis that the velocity field derived from Tully-Fisher measurements of spiral galaxies, and that derived independently from Dn-sigma measurements of ellipticals and S0s, are noisy versions of the same underlying velocity field. The radial velocity fields are derived using tensor Gaussian smoothing of radius 1200 km/s. They are compared at grid points near which the sampling by both types of galaxies is proper. This requirement defines a volume of ~(50 Mpc/h)^3, containing ~10 independent subvolumes, mostly limited by the available ellipticals. The two fields are compared using a correlation statistic, whose distribution is determined via Monte-Carlo simulations. We find that the data is consistent with the hypothesis, at the 10% level. We demonstrate that the failure to reject the correlation is not just a result of the errors being big, by using the same method to rule out complete independence between the fields at the 99.8% level. The zero points of the two distance indicators are matched by maximizing the correlation between the two velocity fields. There is a marginal hint that the ellipticals tend to stream slower than the spirals by ~8%. The correlation reinforced here is consistent with the common working hypotheses that (a) the derived large-scale velocity field is real, (b) it has a gravitational origin, and (c) the large-scale velocities of spirals and ellipticals are hardly biased relative to each other. On the other hand, it does not rule out any alternative to gravity where objects of all types obtain similar large-scale velocities.
Mobile Manipulation in Unstructured Environments

Unstructured human environments present a substantial challenge to effective robotic operation. Mobile manipulation in typical human environments requires dealing with novel unknown objects, cluttered workspaces, and noisy sensor data. We present an approach to mobile manipulation in such environments using a combination of 2D and 3D visual processing, tactile and proprioceptive sensor data, fast motion planning, reactive control and monitoring, and reactive grasping. Our approach allows a robot to perform the full range of operations required for mobile manipulation. We demonstrate our approach by using a two-arm mobile manipulation system to pick and place objects. Our approach attempts to maximize safety and robustness by continuously monitoring the task using visual sensors and replanning or aborting the task if necessary. Furthermore, reactive components attempt to correct the desired plan when presented with unexpected information from the changing environment.
Modelling Swarm Robotic Systems : A Case Study in Collective Foraging

Understanding the effect of individual parameters on the collective performance of swarm robotic systems in order to design and optimise individual robot behaviours is a significant challenge. This paper presents a probabilistic model of a swarm foraging task. A number of difference equations are derived to describe the probabilistic finite state machine for the task at a macroscopic level. A geometrical approach is then developed in order to estimate the state transition probabilities by considering the simple strategies of individual robots. The paper validates the mathematical model using the simulation tools Player/Stage, and results show the model achieves excellent agreement with simulation.
Enhancing chord recognition accuracy using web resources

Machine learning methods for chord recognition have improved considerably in the past few years. However, further progress seems constrained by the scarcity of training data. In this paper, we show that this problem can be partially solved by exploiting noisy but freely and abundantly available online resources, in addition to fully labeled training data. We use these data to restrict the output of the Viterbi algorithm, resulting in significant improvements over the standard decoding process.