Miracle-dz/UniFAR-FTUs huggingface dataset:
"Just Goes to Show How These Hoes Try to Tear Men Down": Investigating Twitter and Cultural Conversations on Athletic Ability, Race, and Sexual Assault

On December 5, 2013, the State of Florida attorney announced his decision to not charge Jameis Winston, the African American quarterback at Florida State University at the time, with sexual assault in response to allegations stemming from an incident in December 2012. As Twitter represents a unique site for examining cultural conversations and as sexual assault allegations toward athletes have gained more media attention, this research was conducted to investigate Twitter reactions to this decision. A content analysis of tweets (n = 2,500) systematically examined how rape culture and beliefs about athletic ability, race, and sexual assault were reinforced and contested in tweets. The results of our study found that attitudes consistent with those that comprise rape culture, including victim blaming and framing the accused as the victim, were for the most part upheld and reinforced by Twitter users. However, our findings also indicated that Twitter served as a site for a smaller number of users to voice criticism of society, media, and sports culture in response to the decision to not charge Winston. Taken together, these findings indicate that although Twitter provides users a platform to challenge problematic belief systems, it also functions as a site where those ideologies can be reinforced.
Robust LRTDP: Reachability Analysis

Stochastic Shortest Path problems (SSPs) can be efficiently dealt with by the Real-Time Dynamic Programmingalgorithm (RTDP). Yet, RTDP requires that a goal state is always reachable. This paper presents an algorithm checking for goal reachability, especially in the complex case of an uncertain SSP where only a possible interval is known for each transition probability. This gives an analysis method for determining if SSP algorithms such as RTDP are applicable, even if the exact model is not known. We aim at a symbolic analysis in order to avoid a complete state-space enumeration.
An Overview of the Coding Standard MPEG-4 Audio Amendments 1 and 2: HE-AAC, SSC, and HE-AAC v2

In 2003 and 2004, the ISO/IEC MPEG standardization committee added two amendments to their MPEG-4 audio coding standard. These amendments concern parametric coding techniques and encompass Spectral Band Replication (SBR), Sinusoidal Coding (SSC), and Parametric Stereo (PS). In this paper, we will give an overview of the basic ideas behind these techniques and references to more detailed information. Furthermore, the results of listening tests as performed during the final stages of the MPEG-4 standardization process are presented in order to illustrate the performance of these techniques.
Knowledge Conversion Abilities and Knowledge Creation and Innovation: A New Perspective on Team Composition

Based on Nonaka’s knowledge spiral theory, this study conceptualized the four knowledge conversion patterns, including socialization, externalization, combination, and internalization, as four types of knowledge conversion abilities. We developed level, completeness, redundancy, and heterogeneity as four dimensions of team knowledge conversion abilities combination, and explored relationships between these dimensions and team innovation effectiveness, including knowledge transfer, knowledge creation, and R & D performance. We found socialization, combination, and internalization abilities level owned by team members have positive relationships with knowledge transfer and creation. The completeness of knowledge conversion abilities also has positive relationships with knowledge transfer and creation. Besides, the heterogeneity of knowledge conversion abilities has negative relationships with knowledge transfer and creation. INTRODUCTION The critical importance of knowledge-creation and innovation as a source of competitive advantage has been recognized in recent years. Many firms use teams as a basic knowledge creation unit concurrently with engineering, project teams, software design, product development, strategy development and multi-functional working teams (Jones & Jordan, 1998; Leonard-Barton & Swap, 1999; Walz, Elam & Curtis, 1993). Corporations are searching for ways to enhance the effectiveness and the efficiency of their teams’ knowledge-creation process. However, up until now, the focus of most research studies and works on knowledge-creation and creativity has been placed on individual level only, such as
Topology Control for Energy Conservation in Wireless Sensor Network

Topology control in Wireless Sensor Networks is an approach to reduce the initial topology of the network in such a way that energy of the sensor nodes may be conserved and the interference among simultaneous transmissions may be reduced. We have described the topology control for heterogeneous WSNs and defined different interference model in heterogeneous WSNs and the techniques to minimize the interference by topology control. These techniques basically depend on removal of link or reduction of the degree of nodes in the graph. The main objective of our approach is to reduce the number of active nodes and active links, during the communication alive to minimize the interference and energy consumption in order to enhance the life time of the network.
A Jittered-Sampling Correction Technique for ADCs

Jittered sampling raises the noise floor in Analogue to Digital Converters (ADCs). This leads to a decrease in its Signal to Noise ratio (SNR) and its effective number of bits (ENOB). This extended abstract proposes a technique that compensate for the effects of sampling with a jittered clock. A novel technique based on phase demodulation of the clock oscillator and Taylor series approximation is proposed to counter the effects of clock jitter in ADCs. Since jitter is caused by phase noise, phase demodulation provides a good estimate of the instantaneous jitter. A VLSI implementation of Taylor series is used to predict the input signal value at the correct time instant.
Cloud condensation nucleus (CCN) behavior of organic aerosol particles generated by atomization of water and methanol solutions

Cloud condensation nucleus (CCN) experiments were carried out for malonic acid, succinic acid, oxalacetic acid, DL-malic acid, glutaric acid, DL-glutamic acid monohydrate, and adipic acid, using both water and methanol as atomization solvents, at three operating supersaturations (0.11%, 0.21%, and 0.32%) in the Caltech three-column CCN instrument (CCNC3). Predictions of CCN behavior for five of these compounds were made using the Aerosol Diameter Dependent Equilibrium Model (ADDEM). The experiments presented here expose important considerations associated with the laboratory measurement of the CCN behavior of organic compounds. Choice of atomization solvent results in significant differences in CCN activation for some of the compounds studied, which could result from residual solvent, particle morphology differences, and chemical reactions between the particle and gas phases. Also, significant changes in aerosol size distribution occurred after classification in a differential mobility analyzer (DMA) for malonic acid and glutaric acid, preventing confident interpretation of experimental data for these two compounds. Filter analysis of adipic acid atomized from methanol solution indicates that gas-particle phase reactions may have taken place after atomization and before methanol was removed from the sample gas stream. Careful consideration of these experimental issues is necessary for successful design and interpretation of laboratory CCN measurements.
Analog Spiking Neuron with Charge-Coupled Synapses

This paper presents a compact analog neuron cell with an array of charge-coupled synapses connected via a common output terminal. Synaptic responses are fed into a current mirror, the summing point of the neuron. A couple of CMOS inverters are employed to implement the temporal and spatial in- tegration of weighted input spikes generated by the synaptic array. The decay of the membrane potential is mimicked by the charge leakage through a reverse- biased diode, whose model is veried by comparing the simulations and measured data. Spice simulation results show that the proposed neuron cell is capable of capturing the summing and thresholding dynamics of biological neurons.
Carving Mind at Brain’s Joints. The Debate on Cognitive Ontology

Since neuroimaging methods allow researchers to study the human brain at work, the vexed mind-brain problem ceased to be just a metaphysical issue, and became a practical concern for Cognitive Neuroscientists: how could they carve mind and brain into distinct entities, and what is the relation between these two sets? In this paper, I discuss the classical model of one-to-one mappings between mental and neural entities, inherited from phrenology, and make its assumptions explicit. I then examine the shortcomings of this “new phrenology”, and explore two solutions to them: the first accepts many-to-many mappings, whereas the second proposes a radically rethinking of the relata of this correspondence.
NetScope: Tra c Engineering for IP Networks

Managing large IP networks requires an understanding of the current tra c ows, routing policies, and network con guration. Yet, the state-of-the-art for managing IP networks involves manual con guration of each IP router, and tra c engineering based on limited measurements. The networking industry is sorely lacking in software systems that a large Internet Service Provider (ISP) can use to support tra c measurement and network modeling, the underpinnings of e ective tra c engineering. This paper describes the AT&T Labs NetScope, a uni ed set of software tools for managing the performance of IP backbone networks. The key idea behind NetScope is to generate global views of the network, on the basis of con guration and usage data associated with the individual network elements. Having created an appropriate global view, we are able to infer and visualize the network-wide implications of local changes in tra c, con guration, and control. Using NetScope, a network provider can experiment with changes in network con guration in a simulated environment, rather than the operational network. In addition, the tool provides a sound framework for additional modules for network optimization and performance debugging. We demonstrate the capabilities of the tool through an example tra c-engineering exercise of locating a heavily-loaded link, identifying which tra c demands ow on the link, and changing the con guration of intra-domain routing to reduce the congestion.
A Corpus-Independent Feature Set for Style-Based Text Categorization

We suggest a corpus-independent feature set appropriate for style-based text categorization problems. To achieve this, we introduce a new measure on linguistic features, called stability, which captures the extent to which a language element, such as a word or syntactic construct, is replaceable by semantically equivalent elements. This measure may be perceived as quantifying the degree of available “synonymy” for a language item. We show that frequent but unstable features are especially useful for stylebased text categorization.
Caching Secondary Rays for Fast Approximation of Diffuse Global Illumination

This paper describes a better calculation of the ambient term for raytraced diffuse surfaces. This is done by ray-tracing the whole scene from each intersection point over a hemisphere and averaging the resulting image to estimate the ambient term. Since the ambient term is most useful for first-generation rays, only simple path-tracing is used for rays of second and later generations. In addition, since first-generation rays’ intersections with objects have a good amount of locality, previous data is used to optimize the hemisphere calculation at each pixel.
Partial Evaluation, Imperative Languages and C

The aim of this survey is to provide a review for someone who is interested in partial evaluation in general and partial evaluation for imperative languages, especially C, in particular. The paper will argue that getting partial evaluation for imperative languages to work well is a highly desirable goal, since the technique ooers very wide beneets, but will not be widely usable unless available for some commonly used languages. Section 1 deenes partial evaluation and explains a range of frequently encountered terms, Section 2 looks at why partial evaluation is interesting and Section 3 gives a review of some key contributions to the eld. Within that, paragraph 3.5 is very relevant to the following two sections. These look rst at partial evaluation for imperative languages in general (Section 4), and then at the special case of C (Section 5). Finally, Section 6 concludes.
Ribosome Synthesis and MAPK Activity Modulate Ionizing Radiation-Induced Germ Cell Apoptosis in Caenorhabditis elegans

Synthesis of ribosomal RNA by RNA polymerase I (RNA pol I) is an elemental biological process and is key for cellular homeostasis. In a forward genetic screen in C. elegans designed to identify DNA damage-response factors, we isolated a point mutation of RNA pol I, rpoa-2(op259), that leads to altered rRNA synthesis and a concomitant resistance to ionizing radiation (IR)-induced germ cell apoptosis. This weak apoptotic IR response could be phenocopied when interfering with other factors of ribosome synthesis. Surprisingly, despite their resistance to DNA damage, rpoa-2(op259) mutants present a normal CEP-1/p53 response to IR and increased basal CEP-1 activity under normal growth conditions. In parallel, rpoa-2(op259) leads to reduced Ras/MAPK pathway activity, which is required for germ cell progression and physiological germ cell death. Ras/MAPK gain-of-function conditions could rescue the IR response defect in rpoa-2(op259), pointing to a function for Ras/MAPK in modulating DNA damage-induced apoptosis downstream of CEP-1. Our data demonstrate that a single point mutation in an RNA pol I subunit can interfere with multiple key signalling pathways. Ribosome synthesis and growth-factor signalling are perturbed in many cancer cells; such an interplay between basic cellular processes and signalling might be critical for how tumours evolve or respond to treatment.
Ad-hoc Routing Protocol for Aeronautical Mobile Ad-Hoc Networks

In this paper, we present a theoretical approach and the simulation results for an innovative Mobile Ad Hoc Network (MANET) routing protocol designed for the needs of aeronautical applications, particularly having the free flight concept in mind as an ultimate goal. The protocol we propose is the Ad-hoc Routing Protocol for Aeronautical Mobile Ad hoc Networks (ARPAM) and it is primarily based on AODV, an existing multi-purpose routing protocol for mobile ad hoc networks. The innovation of the ARPAM protocol consists in the exploitation of the geolocalization information made available by aeronautical applications, the use of proactive functions and an improved approach on the route maintenance.
A novel Bayesian Compressed Sensing algorithm using sparse tree representation

Compressed Sensing (CS) is a novel emerged theory in the last several years in the area of signal processing. CS could recover the signal correctly by sampling a sparse signal below the Nyquist rate. Bayesian Compressed Sensing (BCS) is a new framework in CS which recovery performance is proved to be close to L0-norm solution. Recent studies have recognized that in many multiscale bases such as wavelets, signals of interest have not only few significant coefficients, but also a well-organized tree structure of those significant coefficients. In this paper, we exploit the tree structure as additional prior information to the framework of the BCS, and then propose a novel BCS algorithm for signal reconstruction with limited number of measurements. Simulation results indicate that exploiting the proposed BCS algorithm using the sparse tree representation could reduce the required number of iterations greatly, and achieve better reconstruction as well as faster iteration speed compared to original BCS algorithm.
Adolescent Grief: Relationship Category and Emotional Closeness

Bereaved adolescents (N = 90) who had experienced relatively common death losses (e.g., grandparent, friend) completed the Texas Revised Inventory of Grief and the Emotional Closeness Scale and Continuum. Results indicated that present grief was significantly higher for friend than for grandparent death loss. A MANOVA revealed that those in the high closeness group reported significantly higher mean scores on past and present grief than those in the low closeness group. Finally, in a hierarchal multiple regression, after demographic variables were entered (e.g., age, present at death), emotional closeness added significant variance to the prediction of past and present grief. This research contributes to the understanding of grief intensity following adolescents' most common death losses and highlights the importance of counselors' intentionally and directly assessing bereaved adolescents' perceived emotional closeness to the deceased as part of grief-related counseling.
Constructing a scalable and fail-tolerant Core with multipath routing

Although benefits comes with decoupling IP dual roles, overload in routers or reallocate a new addressing space for inter-domain routing system is still a great challenge. In this paper, we use the idea of Locator/ID separation but redesign the topological locator to construct a scalable and universal Core which can integrate heterogeneous access networks. Moreover, the coarse-grained multipath inter-domain routing (CMIR) as an optional method is offered for fail-tolerant. Simulations illustrate that CMIR can offer good scalability and better fail-tolerating between AS pairs.
An EMR-enabled medical sensor data collection framework

Availability of healthcare data allows governments to analyze effectiveness of their policies, monitor spread of a disease, etc. Data collection for public healthcare is still a big challenge, especially in developing countries where most of the data collection is still done on paper. Therefore, recently many tools, e.g. ODK, Commcare, have become available that allow data collection on mobile devices. Similarly, during data collection, use of health sensors to measure some of the health parameters, e.g. ECG, Oxygen Saturation, is increasing, but then the data measured by sensors is often entered manually to the mobile device. Finally, the data collected on a mobile device is then entered into a database (either an EMR or a general database) manually, which is time consuming and introduces error due to manual input. While partial solutions that enable connectivity of sensors to mobile device or mobile device to a specific EMR are available, there is a lack of a comprehensive end-to-end solution. In this paper, we present our framework which works on mobile devices to allow collection of sensor data at one end and stores data into an EMR on the other end, thus provides a comprehensive solution for data collection. The requirements of the framework were derived after interviewing healthcare workers who conduct regular field studies. We have tested our framework with a publicly available standard health sensor and OpenMRS.
Development of a novel home sperm test.

BACKGROUND The majority of men find the production of a semen sample an embarrassing and stressful experience. Consequently, the availability of an over-the-counter home sperm test, which would reliably and accurately allow the patient to obtain an assessment of fertility potential at their convenience, would be a major benefit. Our objective was to develop and evaluate a home sperm test that provides a visual estimate of the concentration of progressively motile sperm in a semen sample. METHODS Three particular challenges are described (i) developing a visualization system; (ii) optimization of the detection limit; and (iii) controlling variation due to changes in ambient temperature. The accuracy of the device was tested against two reference methods: computer-assisted sperm analysis (CASA) and a hyaluronate migration test (HMT). RESULTS In 129 semen samples, where both reference methods agreed (positive or negative), the accuracy of the device was 95%. The observed likelihood ratio of 8.8 indicated that a sample showing a red line in the device was over eight times more likely to have a positive (normal) result in CASA and HMT than a sample without a red line. CONCLUSIONS The final device provides a visual estimate of the concentration of progressively motile sperm in a semen sample using a test that is completed within approximately 1 h of production of the sample and can be used by the man in the comfort of his own home.
An Effective Clustering Algorithm for Transaction Databases Based on K-Mean

Clustering is an important technique in machine learning, which has been successfully applied in many applications such as text and webpage classifications, but less in transaction database classification. A large organization usually has many branches and accumulates a huge amount of data in their branch databases called multi-databases. At present, the best way of mining multi-databases is, first, to classify them into different classes. In this paper, we redefine related concepts of transaction database clustering, and then in connection to the traditional clustering method, we propose a strategy of clustering transaction databases based on the k-mean. To prove that our strategy is effective and efficient, we implement the proposed algorithms. The results showed that the method of clustering transaction databases based on the k-mean is better than present methods.
QoE-Guaranteed and Power-Efficient Network Operation for Cloud Radio Access Network With Power Over Fiber

A concept of cloud radio access networks (C-RANs) is becoming a popular solution to support the required communication quality for new emerging service in the future network environment, i.e., more than 10 Gbps capacity, less than 1 ms latency, and connectivity for numerous devices. In this paper, we envision a C-RAN based on passive optical network (PON) exploiting power over fiber (PoF), which achieves low installation and operation costs since it is capable of providing communication services without external power supply for large amount of remote radio heads (RRHs). This network, however, needs to reduce the optical transmission power of PoF due to the fiber fuse issue. Additionally, the diversification of services, devices, and personality indicates the need to improve user satisfaction, i.e., quality of experience (QoE), based on the user's perspective, which is different from previous approaches that aim to guarantee quality of services (QoS). Therefore, we propose a QoE-guaranteed and power-efficient network operation strategy. Our proposed operation is able to reduce the transmission power while satisfying the QoE constraint by controlling both the schedule of RRH's sleep and optical transmission power of PoF. Furthermore, the effectiveness of our proposed operation scheme is evaluated through extensive computer simulations.
Analysis of Partially Shaded PV Modules Using Piecewise Linear Parallel Branches Model

This paper presents an equivalent circuit model based on piecewise linear parallel branches (PLPB) to study solar cell modules which are partially shaded. The PLPB model can easily be used in circuit simulation software such as the ElectroMagnetic Transients Program (EMTP). This PLPB model allows the user to simulate several different configurations of solar cells, the influence of partial shadowing on a single or multiple cells, the influence of the number of solar cells protected by a bypass diode and the effect of the cell connection configuration on partial shadowing. Keywords—Cell Connection Configurations, EMTP, Equivalent Circuit, Partial Shading, Photovoltaic Module.