Miracle-dz/UniFAR-FTUs huggingface dataset:
Onanistic feminism -- a feminist perspective : a case study of Indonesian feminist media

Feminist media production constitutes a key vehicle for envisioning and politicizing women’s life experiences and their cultural meaning in the contemporary world. This research pursued questions on how Third World feminist media producers voice women’s issues, and the obstacles they faced in building unity within their organization. Four journalists of women’s radio RJP in Jakarta, Indonesia were interviewed and observed to conceptualize their lives, work, and backgrounds within feminist practices. Radio scripts and organization documents were also used to provide the detailed in-depth picture of “the making of radio program. ” This study exposed a lack of unity of effort between radio producers and their management organization. Two sets of issues were responsible for this lack of unity. The first relates to the old cultural paradigm ’konco wingking” (literally meaning “woman is friend from behind”), or construct, that governs Indonesian life. The second set of key issues revolves around the power relations caused by the organization’s dependency on foreign or global funding, which created a hierarchical, undemocratic working environment. Both sets of issues essentially crippled the organization in that they precluded the development of a strategic focus related to the nominal feminist mission of the organization. This lack of focused goals led the journalists to follow their own designs and simply fantasize the fit and implementation of their personal goals in order to survive their commitment to the organization. These factors led to low staff sustainability and retention. This study suggests that this Indonesian feminist media women’s NGO (nongovernment organization) needs to re-assess its efficacy for social change by building its
Towards a Framework for Context-Aware Services Management

The research presented in this article proposes an innovative services management infrastructure for e-business services integration. E-business environments are characterised by a variety of services from providers as well as constantly changing demands from requesters (e.g. users). Managing services and providing effective solutions through adequate identification and invocation of services to meet the various requirements arising within such environments remains a major challenge. Resulting research problems include questions such as how to effectively manage and execute knowledge about services and the contexts in which they are requested to meet services management tasks. A conceptual solution framework and a research prototype are presented in this article, illustrated by a services management and delivery application scenario from the e-health domain as an example. The framework however provides a generic solution that is applicable in a broad range of electronic services integration scenarios, such as supply chain integration in the e-business domain, and many others.
An effective algorithm for centerline extraction and length calculation from human metaphase chromosomes

The study of human metaphase chromosomes is an important feature in diagnosis of genetic disorders. Although many image processing techniques have been developed for chromosomal karyotyping to assist in laboratory diagnosis but they fail to provide reliable results in extracting the centerline of chromosomes due to their shape variability when placed on microscope slides. The technique of arranging the chromosomes according to its length is called karyotyping. The paper proposes an algorithm that uses Discrete Curve Evolution based skeleton pruning and morphological thinning to provide a reliable centerline that is robust to shape variations of the chromosomes. Effective identification of the chromosome outline with its centerline provides a basis for further operations such as homologue chromosome identification, centromere identification etc. Also the length calculation is done by considering the number of white pixels obtained using the thinning algorithm.
Crowd-sourced prediction of pedestrian congestion for bike navigation systems

GPS-based navigation systems widely available on automobiles and smartphones nowadays are essential to find the best routes in the complicated urban space. However, it is still difficult for bikers to take full advantages of such navigation systems due to the lack of consideration on the different driving conditions. Generally, motorcyclists and cyclists take rides on narrow alleys and sidewalks which have a high risk of bumping against pedestrians. Therefore, it is necessary to find comfortable driving routes, also possibly avoiding areas congested by crowds. However, it is impractical to monitor crowd's existence everywhere at all times for such crowd-aware navigation. To overcome this limitation, we attempt to utilize location-based social network services where geo-tagged microblogs from massive crowd can be a good alternative source to measure pedestrian congestion in urban areas. In this paper, we introduce a route search method for bikers particularly to exploit crowd's volunteering reports being streamed via microblogs. In order to estimate human traffic from microblogs, we develop a crowd flow network which captures probable crowd movement on an urban network. We also examine the possible intersections which are expected to be highly congested based on the model. On the crowd flow network, we will find the best routes consisting of comfortable intersections and streets for the bike navigation systems.
Adaptive dynamic surface tracking control for dynamic positioning cable laying vessel

In order to lay submarine cables on the set path through the control system on the dynamic positioning cable laying vessel, the adaptive tracking controller based on dynamic surface method is proposed. The mathematical model of the cable laying vessel with uncertain parameters is built. The large disturbances from the cable burying plough and environment are compensated for by the adaptive estimator. The proposed adaptive dynamic surface controller guarantees uniformly bounded of the closed-loop system, as well as the output of the vessel asymptotic tracking to desired path. Simulation results show that, the closed-loop system with the proposed controller has good tracking transient performance to the set path, and illustrates robustness to large disturbances.
MAC layer QoS architecture for optimized and fair transmission of scalable video

The increasing demand for mobile video delivery has boosted the development of mechanisms which improve the Quality of Service (QoS) of video transmission through bitstream adaptation. In this paper, we study adapting H.264/SVC streams in the MAC layer. We introduce a generic QoS architecture for implementing both inter- and intra-traffic class QoS for scalable video streams, and verify the solution with OPNET simulations in the context of IEEE 802.11e EDCA. The results show that our two-tier hierarchical scheduling approach provides for optimized SVC delivery in. 11e networks without hampering the channel access of the other traffic types.
Improved linear programming decoding and bounds on the minimum distance of LDPC codes

We propose a technique for improving LP decoding, based on the merging of check nodes. This technique can be applied to standard as well as generalized LDPC codes. Furthermore, we show how a recently-discovered linear-complexity LP decoder can be used to derive non-trivial lower bounds on the minimum distance of specific LDPC codes, with complexity that exhibits quadratic growth with respect to the block length. This bound can be refined using the check node merging technique. The lower bound on the minimum distance is shown to be an upper bound on the fractional distance of the code.
The Silenced Students: Student Resistance in a Corporatized University

A silenced student merely receives pedagogical messages, consumes educational goods, and is supposed to obey taken-for-granted orders of the university. In this article, we illustrate how silencing happens as a consequence of a structural change in the balance of power between the Finnish government and the universities. The universities try to play safe due to the increased directive power of the government. This has had effects on how universities define the roles of students: In the changed conditions, the universities see students as clients whose purpose is to study and graduate, but not to revolt or act as political beings.
Structure of the Male Determinant Factor for Brassica Self-incompatibility*

Many flowering plants possess a self-incompatibility system to prevent inbreeding. In Brassica rapa, self/non-self recognition in mating is established through S-haplotype-specific interactions between stigma receptors and S-locus protein 11 (SP11, also called S-locus cysteine-rich protein) that is encoded at the highly polymorphic S-locus. Here we describe the solution structure of the SP11 protein of the S8-haplotype (S8-SP11), which specifically binds to the stigma factor of the same haplotype. It folds into an α/β sandwich structure that resembles those of plant defensins. Residues important for structural integrity are highly conserved among the allelic SP11s, suggesting the existence of a common folding pattern. Structure-based sequence alignment and homology modeling of allelic SP11 identified a hyper-variable (HV) region, which is thought to form a loop that bulges out from the body of the protein that is amenable to solvent exposure. We suggest that the HV region could serve as a specific binding site for the stigma receptor.
Unsupervised Clustering Using Graph Transduction

We present a graph-based iterative algorithm for clustering task. The existing literatures in this domain often use the distance measure between the testing data point individual which is proved not enough in the real applications. In this paper, we think about the core concept in semi-supervised learning method, and use a graph to reflect the original distance measure, and combine the density information of the data distribution with the distance measure. Given a set of testing data, we select the original data randomly and use graph transduction iterative on the defined graph. The given algorithm is rapid and steady comparing with the existing clustering method. The experiments show that the novel algorithm is effective for the clustering task.
Improving Curated Web-Data Quality with Structured Harvesting and Assessment

This paper describes a semi-automated process, framework and tools for harvesting, assessing, improving and maintaining high-quality linked-data. The framework, known as DaCura1, provides dataset curators, who may not be knowledge engineers, with tools to collect and curate evolving linked data datasets that maintain quality over time. The framework encompasses a novel process, workflow and architecture. A working implementation has been produced and applied firstly to the publication of an existing social-sciences dataset, then to the harvesting and curation of a related dataset from an unstructured data-source. The framework's performance is evaluated using data quality measures that have been developed to measure existing published datasets. An analysis of the framework against these dimensions demonstrates that it addresses a broad range of real-world data quality concerns. Experimental results quantify the impact of the DaCura process and tools on data quality through an assessment framework and methodology which combines automated and human data quality controls.
A Study on Educational Value of National Character towards Balinese Traditional Song Text: Geguritan Ketut Bungkling

The one type of Balinese traditional song was poetry that still alive in Bali namely tembang pupuh or sekar macapat . Tembang macapat provided in pupuh was used for writing a literary works i.e. geguritan . One of the literary works in Bali was Geguritan Bungkling which tells the main character life’s, named I Ketut Bungkling (a common descendant, however, had an ingenuity and a courage that were very good). This study used a structuralist-semiotic theory. The data collection was applied an observation method and note taking techniques. The research aim is able to describe the educational values of national character implicit in the text of pupuh Geguritan Bungkling . The data obtained were analyzed by the analytical descriptive method. The study on Geguritan Bungling text, findings a local moral values of character education, included: (1) the intelligence character, (2) the character of love science, (3) religious character, (4) introspection character, (5) the care character, (6 ) responsibility character, (7) the character loves a culture, (8) love characters, and (9) the character of peace.
DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains

Recently, with companies and government agencies saving large repositories of time stream/temporal data, there is a large push for adapting association rule mining algorithms for dynamic, targeted querying. In addition, issues with data processing latency and results depreciating in value with the passage of time, create a need for swifter and more efficient processing. The aim of targeted association mining is to find potentially interesting implications in large repositories of data. Using targeted association mining techniques, specific implications that contain items of user interest can be found faster and before the implications have depreciated in value beyond usefulness. In this paper, the DynTARM algorithm is proposed for the discovery of targeted and rare association rules. DynTARM has the flexibility to discover strong and rare association rules from data streams within the user's sphere of interest. By introducing a measure, called the Volatility Index, to assess the fluctuation in the confidence of rules, rules conforming to different temporal patterns are discovered.
CAN HOT SPOTS POLICING REDUCE CRIME IN URBAN AREAS? AN AGENT‐BASED SIMULATION*

Over the past two decades, there has been a growing consensus among researchers that hot spots policing is an effective strategy to prevent crime. Although strong evidence exists that hot spots policing will reduce crime at hot spots without immediate spatial displacement, we know little about its possible jurisdictional or large-area impacts. We cannot isolate such effects in previous experiments because they (appropriately) compare treatment and control hot spots within large urban communities, thus, confounding estimates of area-wide impacts. An agent-based model is used to estimate area-wide impacts of hot spots policing on street robbery. We test two implementations of hot spots policing (representing different levels of resource allocation) in a simulated borough of a city, and we compare them with two control conditions, one model with constant random patrol and another with no police officers. Our models estimate the short- and long-term impacts on large-area robbery levels of these different schemes of policing resources. These experiments reveal statistically significant effects for hot spots policing beyond both a random patrol model and a landscape without police. These simulations suggest that wider application of hot spots policing can have significant impacts on overall levels of crime in urban areas.
Pattern Recognition Letters Authorship Confirmation

6 This paper presents the PETS2009 outdoor crowd image analysis surveillance dataset and the performance evaluation of people counting, detection and tracking results using the dataset submitted to five IEEE Performance Evaluation of Tracking and Surveillance (PETS) workshops. The evaluation was carried out using well established metrics developed in the Video Analysis and Content Extraction (VACE) programme and the CLassification of Events, Activities, and Relationships (CLEAR) consortium. The comparative evaluation highlights the detection and tracking performance of the authors’ systems in areas such as precision, accuracy and robustness and provides a brief analysis of the metrics themselves to provide further insights into the performance of the authors’ systems.
Efficient Support for MPI-I/O Atomicity Based on Versioning

We consider the challenge of building data management systems that meet an important requirement of today's data-intensive HPC applications: to provide a high I/O throughput while supporting highly concurrent data accesses. In this context, many applications rely on MPI-I/O and require atomic, non-contiguous I/O operations that concurrently access shared data. In most existing implementations, the atomicity requirement is implemented through locking-based schemes, which have proven inefficient, especially for non-contiguous I/O. We claim that using a versioning-enabled storage back-end has the potential to avoid the expensive synchronization induced by locking-based schemes. We describe a prototype implementation on top of ROMIO, and report on promising experimental results with standard MPI-I/O benchmarks specifically designed to evaluate the performance of non-contiguous, overlapped I/O accesses under MPI atomicity guarantees.
Steady-State Simulation Methods of Closed-Loop Power Converter Systems—A Systematic Solution Procedure

While a host of analysis techniques exist to perform steady-state analysis of open-loop converter systems, solutions for close-loop converter systems are distinctly more challenging to obtain. Analysis is done either via computationally intensive time-domain simulation or through reliance on a disconnected collection of published iteration techniques. Moreover, most of these iteration techniques deal with a system containing only one or two converters. This is not adequate to deal with a smart grid or microgrid system, which consists of multiple (more than two) converters. This paper proposes a generalized and systematic solution procedure to obtain the steady state of a system containing multiple closed-loop power converters, in a computationally efficient manner. The solution procedure consists of a general five step approach that can easily be applied to a wide variety of power converter systems. It is shown that numerous previously proposed methods may be viewed as specific implementations of the generalized systematic procedure. A new solution approach, suitable for analysis of tightly coupled multiconverter networks, is developed based on the generalized solution procedure. Results of the new approach are validated against PSCAD/EMTDC simulations for a representative multiconverter network.
Hepatoprotective Effect of Houttuynia cordata Thunb Extract against Carbon Tetrachloride-induced Hepatic Damage in Mice

Houttuynia cordata Thunb (Saururaceae) is a traditional medicinal herb used to treat several disease symptoms. The present study was focused on the hepatoprotective effects of H. cordata ethyl acetate extract in experimental mice. Further the antioxidant potential of the extract was also evaluated to substantiate its hepatoprotective properties. Carbon tetrachloride-induced hepatic damage in mice was used to measure the serum biochemical parameters. Morphological changes in hepatocyte architecture were studied by haematoxylin and eosin staining. In vitro alkyl and hydroxyl free radical scavenging assays were performed to evaluate the antioxidant effect. Administration of H. cordata extract significantly reduced the elevated serum levels and regulated the altered levels of serum cholesterol in carbon tetrachloride-treated mice (P<0.05). The morphological changes in hepatocyte architecture were also reversed by H. cordata treatment. Further, the extract showed significant antioxidant actions by scavenging the alkyl and hydroxyl free radicals. The concentration of the extract necessary for 50% scavenging of alkyl and hydroxyl radicals was 15.5 and 410 μg/ml, respectively. H. cordata extract exhibited significant hepatoprotective property in carbon tetrachloride-induced hepatotoxicity in mice. The strong antioxidant activities possessed by the extract might be responsible for such actions.
Model sets with predefined local structure

Model sets play a fundamental role in structure analysis of quasicrystals. The diffraction diagram of a quasicrystal admits as symmetry group a finite group G, and there is a G-cluster C (union of orbits of G) such that the quasicrystal can be regarded as a quasiperiodic packing of interpenetrating copies of C. We present an algorithm which leads from any G-cluster C directly to a multi-component model set Q such that the arithmetic neighbours of any point x ∈ Q are distributed on the sites of the translated copy x + C of C. Our mathematical algorithm may be useful in quasicrystal physics.
Enhancing Object Distinction Utilizing Probabilistic Topic Model

We develop a novel method for enhancing object distinction problem, which is to distinct different objects with identical names. The traditional approach is based on the attributes or contexts of the objects, not using the information of some attribute which may propagate between the objects and the attributes. To this end, we propose an approach which uses probabilistic topic model to improve the accuracy. We first model the attribute which has unstructured information and get its topics which may propagate to object as a new attribute, and then calculate the similarity values of the context attributes of the two objects with identical names, then we use these similarity values to build a decision tree model based on the training set. For the problem of object distinction for people, we combine the affiliation similarity with other context attributes similarity to judge whether the two people who share the same name correspond to the same people in real life. Experiments show that our method using Probabilistic Topic Model can achieve high accuracy.
Non-intrusive speech quality assessment with low computational complexity

We describe an algorithm for monitoring subjective speech quality without access to the original signal that has very low computational and memory requirements. The features used in the proposed algorithm can be computed from commonly used speech-coding parameters. Reconstruction and perceptual transformation of the signal are not performed. The algorithm generates quality assessment ratings without explicit distortion modeling. The simulation results indicate that the proposed non-intrusive objective quality measure performs better than the ITU-T P.563 standard despite its very low computational complexity.