Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Statistical Features to Find Phrasal Terms in Text Collections

In this work we investigate alternatives to automatically detect phrasal terms, defined here as phrasal verbs, phrasal nouns, phrasal adjectives or phrasal adverbs found in a text. The automatic identification of phrasal terms may have several applications in text processing systems. We approach this problem and present a novel approach for detecting phrasal terms in a collection of documents. Our solution is based on machine learning and uses statistical features of the word n-grams found in the documents. We also investigate the particular impact of adding phrasal terms in the retrieval model of a search engine when processing queries on several data sets. Our results show that we are able to discover valid phrasal terms with a small error rate, achieving detection results ranging from 70% to 94% in terms of F1. Furthermore, the discovered phrasal terms, when used to enhance search tasks, allow improvements in retrieval performance of up to 11% in terms of MAP when considering all queries, and up to 36% in terms of MAP when considering only the queries that contained the detected phrasal terms.
A Novel Multi-GPU Neural Simulator

Between the biophysical and behavioral studies of the brain lies computational neuroscience. The goal of which, among other things, is to help bridge the gap in our knowledge and provide alternative or complimentary theories to other neurological studies. As more information is provided and more complex theories are developed, the size and computational cost of neural models continues to increase. This is an obvious impediment to the field and something that developers are constantly attempting to overcome. Presented here is a unique simulator design aimed at leveraging advances in hardware for the simulation of biologically realistic neural models. This proof-of-concept design offers an example of a high-performance environment that utilizes multiple general purpose graphical processing units in a novel configuration. The result is a scalable system that offers the promise of both performance and biophysical faithfulness.
Capacity Bounds and Power Allocation for the Wireless Relay Channel

This paper studies upper bounds and lower bounds on the outage capacity and ergodic capacity of a three-node wireless relay channel in a Rayleigh fading environment. We also take into account practical constraints on the transmission duplexing at the relay node and on the synchronization between the source node and the relay node. We find that the gap between the upper bounds and lower bounds is typically negligible. Compared to direct transmission and traditional multi-hop protocols, our results reveal that optimum relay channel signaling can significantly outperform multi-hop protocols, and that power allocation has a significant impact on performance.
MULTI-RELATIONAL DATA MINING 2001

We are often faced with the challenge of mining data represented in relational form. Unfortunately, most statistical learning methods work only with “flat” data representations. Thus, to apply these methods, we are forced to convert the data into a flat form, thereby not only losing its compact representation and structure but also potentially introducing statistical skew. These drawbacks severely limit the ability of current statistical methods to mine relational databases. Probabilistic models, in particular probabilistic relational models, allow us to represent a statistical model over a relational domain. These models can represent correlations between attributes within a single table, and between attributes in multiple tables, when these tables are related via foreign key joins. In previous work [4, 6, 8], we have developed algorithms for automatically constructing a probabilistic relational model directly from a relational database. We survey the results here and describe how the methods can be used to discover interesting dependencies the data. We show how this class of models and our construction algorithm are ideally suited to mining multi-relational data.
Optimal control of transmission errors with power allocation and stability in ARQ downlink

In the current work a downlink scenario is studied where packets for each user are buffered at the base station waiting for service. The service rates are considered constant and determined by QoS requirements. Errors due to outages occur and are reported to the base station via a reliable binary feedback link. Erroneous packets are held in the queues and an Automatic Retransmission Request protocol that can be powercontrolled repeats transmission until success. Having a total power budget Ptot available per slot to divide among users, the question which is the stability region of such a system is investigated and a power allocation that stabilizes the queues for all vectors within the aforementioned region is introduced. The optimal power allocation is the solution of a nonconcave maximization problem, the properties of which are analyzed. Algorithms based on the Lagrange dual problem are proposed that provide the actual or a relatively good approximation of the solution.
The DEAD-box helicase Ded1 from yeast is an mRNP cap-associated protein that shuttles between the cytoplasm and nucleus

The DEAD-box helicase Ded1 is an essential yeast protein that is closely related to mammalian DDX3 and to other DEAD-box proteins involved in developmental and cell cycle regulation. Ded1 is considered to be a translation-initiation factor that helps the 40S ribosome scan the mRNA from the 5′ 7-methylguanosine cap to the AUG start codon. We used IgG pull-down experiments, mass spectrometry analyses, genetic experiments, sucrose gradients, in situ localizations and enzymatic assays to show that Ded1 is a cap-associated protein that actively shuttles between the cytoplasm and the nucleus. NanoLC-MS/MS analyses of purified complexes show that Ded1 is present in both nuclear and cytoplasmic mRNPs. Ded1 physically interacts with purified components of the nuclear CBC and the cytoplasmic eIF4F complexes, and its enzymatic activity is stimulated by these factors. In addition, we show that Ded1 is genetically linked to these factors. Ded1 comigrates with these proteins on sucrose gradients, but treatment with rapamycin does not appreciably alter the distribution of Ded1; thus, most of the Ded1 is in stable mRNP complexes. We conclude that Ded1 is an mRNP cofactor of the cap complex that may function to remodel the different mRNPs and thereby regulate the expression of the mRNAs.
Fully-isotropic parallel manipulators with Schonflies motions and complex legs with rhombus loops

This paper presents a new family of fully-isotropic parallel manipulators with Schonflies motions and complex legs containing up to m rhombus loops. The moving platform of a parallel manipulator with Schonflies motions (PMSM) has four degrees of freedom, which are three independent translations and one rotation about an axis of fixed direction. A one-to-one correspondence exists between the actuated joint velocity space and the external velocity space of the moving platform. The Jacobian matrix mapping the two vector spaces of fully-isotropic PMSMs presented in this paper is the identity 4times4 matrix throughout the entire workspace. The condition number and the determinant of the Jacobian matrix being equal to one, the manipulator performs very well with regard to force and motion transmission capabilities. As far as we are aware the family of 14m4 solutions of fully-isotropic PMSMs introduced in this paper is presented for the first time in the literature. These solutions are derived from a family of 7m4 PMSMs with decoupled motions and complex legs with rhombus loops also presented for the first time
Process Model Driven Requirements Engineering

This paper demonstrates an approach to requirements engineering with process models as the hub for a family of consistent sub-models. The process model taken as a starting point gives focus, and the different requirement perspectives are served through the enrichment of the process model in several dimensions. Different views into the model family give the well-known specification models; information models, exchange models, service models, etc. The family of related sub models are refined iteratively to describe the need for information (NFI), the need for services (NFS), a shared common information model (CIM) and refined domain information models (DIM). We call this family of interrelated sub models of information systems knowledge models, since they capture both the structure and the behaviour of the subject matter domain. Working in an integrated way with several models serves to enhance consistency and to test the quality of each particular model.
A failure recovery mechanism for distributed metadata servers in DCFS2

Distributed metadata servers are required for cluster file system's scalability. However, how to distribute the file system metadata among multiple metadata servers and how to make the file system reliable in case of server failures are two difficult problem. We present a journal-based failure-recovery mechanism for distributed metadata servers in the dawning cluster file system-DCFS2. The DCFS2 metadata protocol exploits a modified two-phase commit protocol which ensures consistent metadata updates on multiple metadata servers even in case of one server's failure. We focus on the logging policy and concurrent control policy for metadata updates, and the failure recovery policy. The DCFS2 metadata protocol is compared with the two phase commit protocol and some virtues are shown. Some results of performance experiments on our system are also presented.
Psychometric properties of the Internet Addiction Test in Turkish

Background and aims In this study, the Internet Addiction Test (IAT) was adapted to Turkish language, which was originally developed by Young (1998) in English to measure the presence and severity of the Internet dependency. The main purpose was to ensure that the psychometric features and the factor structure of the test were suitable for Turkish university students. Method The study was conducted in two sequent phases. Participants were 990 undergraduate students from several public universities in Turkey. Results In the first phase, an exploratory factor analysis (EFA) was applied to figure out the factor structure of the Turkish version of the IAT. The EFA revealed four factors, which explained 46.02% of the total variance. In the following phase, a confirmatory factor analysis (CFA) was conducted with a different sample, to verify the factor structure that was found in the initial EFA. The CFA resulted four-factor model was satisfactory for the Turkish version of the IAT. These four factors were named as Mood, Relationship, Responsibilities, and Duration. Conclusions Based on the findings, the administration of Turkish version of the IAT provided acceptable results on undergraduate students.
Optimization of LDPC Codes for Turbo Equalization Based on PSO-EXIT Algorithm

Optimization of LDPC codes based on EXIT chart of MIMO channel is recently proposed by Brink. In this paper, Brink's idea is extended to optimization of LDPC codes for MMSE turbo equalization.First ,a new method to obtain EXIT curves of the receiver was given. Furthermore ,a new optimized scheme of LDPC codes for turbo equalization, PSO-EXIT algorithm, was proposed, which combined He's modified Particle swarm optimization(PSO) algorithm with EXIT chart method. Decoding trajectory of (3,6)regular LDPC codes for MMSE turbo equalization was also analyzed in this paper.The degree distribution pair of the optimized irregular LDPC codes were compared with the result of Narayanan's. Simulation results shows that the proposed scheme is effective.
Tones and Intonation in Declarative and Interrogative Sentences in Mandarin

This study investigates three modal variations in Mandarin Chinese: 1) declarative (“D”); 2) interrogative ended with the interrogative marker “ma” (“I-ma”), and 3) interrogative without “ma” (or “Rhetoric Question” “RQ”, demand of confirmation). The acoustic comparison of these variations shows precedence on the realization of modal intonation on any of the four tones in sentence-final position. The instrumental analysis reveals that: 1) interrogative intonation (with or without the interrogative marker “ma”) has a higher sentence-final melodic curve than the declarative counterpart; 2) the duration of the last syllable in the interrogative is shorter than that in the declarative. These results prove that even with the presence of the interrogative marker “ma”, the interrogative is characterized with a specific prosodic melodic pattern, different from the ones used in the other modality variations.
The role of side-chain interactions in the early steps of aggregation: Molecular dynamics simulations of an amyloid-forming peptide from the yeast prion Sup35

Understanding the early steps of aggregation at atomic detail might be crucial for the rational design of therapeutics preventing diseases associated with amyloid deposits. In this paper, aggregation of the heptapeptide GNNQQNY, from the N-terminal prion-determining domain of the yeast protein Sup35, was studied by 20 molecular dynamics runs for a total simulation time of 20 μs. The simulations generate in-register parallel packing of GNNQQNY β-strands that is consistent with x-ray diffraction and Fourier transform infrared data. The statistically preferred aggregation pathway does not correspond to a purely downhill profile of the energy surface because of the presence of enthalpic barriers that originate from out-of-register interactions. The parallel β-sheet arrangement is favored over the antiparallel because of side-chain contacts; in particular, stacking interactions of the tyrosine rings and hydrogen bonds between amide groups. No ordered aggregation was found in control simulations with the mutant sequence SQNGNQQRG in accord with experimental data and the strong sequence dependence of aggregation.
Awareness and Usage of Emerald Insight Database as Determinant of Research Output for Researcher Scholar of Aligarh Muslim University, India

Abstract Purpose: This paper focuses on the usage of Emerald Insight database by the university researchers of all branches. This study intends to determine the researchers’ usage pattern and their level of satisfaction toward the Emerald Insight database. Methodology: A total of 260 well-structured questionnaires were randomly distributed to the researchers of distinguish faculties and out of these 187 questionnaires were received. Later, each response was examined to check whether the respondent had filled questionnaires appropriately or not. Only six questionnaires were found to be discarded due to incomplete information provided by the respondents. Finally, a total of 181 questionnaires were included in the study constituting 69.61% response rate. Afterward, these responses were coded and various statistics such as Central Tendency, Cumulative Frequency, Percentage, etc. were applied upon the data using SPSS. According to the nature of data graphs, charts, and tables were drawn using MS Excel. The usage data of Emerald Insight for last six years was also clubbed into the study which was arranged by the Maulana Azad (MA) Library on a request. Findings: Demographically, a total of 181 respondents were participated in the study of which 170 respondents were working on PhD and only 11 respondents were working on PDF (Post Doctorate Fellowship) program. All respondents were found aware of Emerald Insight database and none was found unaware; however some respondents (16.57%) were averagely aware, a very few respondents (10.49%) were scarcely aware, and remaining (72.89%) were fully aware. The availability of full text, multidisciplinary nature, and friendly interface were major reasons that compelled researchers to use Emerald Insight database. More or less, both searching techniques were used by respondents. In advance search category, phrase search (55.24%) appeared as most common method followed by author search (24.30%) and Boolean operators (12.15%). Their order of preference was as the newest one (46.96%) than relevancy (45.86%) and lastly, the oldest one (7.18%). Besides, the researchers were also found highly satisfied in all aspects of features provided by the Emerald Insight database from searching techniques to its recency and adequacy of literature. Furthermore, the majority of researchers (84.53%) were found fully satisfied, whereas only 2.20% respondents were fully dissatisfied. Their satisfaction was supported by the usage date received by the MA Library which had revealed a gradual increment in the number of items downloaded per year from 2012 to 2017. The usage just doubled from 4546 items downloaded in 2012 to 9541 items downloaded in 2017. Originality: Indeed, this study is original and guarantees that none of such study has been conducted earlier. After going through the profound literature review, no similar study is found. Hence, this study, of course, is new and original.
Assessing Key Performance Indicators in Government Secondary Schools of Matabeleland Region in Zimbabwe

Key Performance Indicators are a necessary guide to any organisation that needs to achieve its objectives. Hence to successfully measure performance, the organisation needs to identify Key Performance Indicators and this can only be done through an assessment of the organisation’s core activities. This paper, therefore, sought to identify and analyse Key Performance indicators in government secondary schools in Zimbabwe. The thesis used mixed method research methodology, adopting pragmatism as a research philosophy. A case study method was used, multi-cited in the three provinces of Matabeleland Region namely Matabeleland South, Matabeleland North and Bulawayo Metropolitan provinces. Purposive sampling was used to identify the sample of 16 schools, 23 education officers. Document analysis, observation and interviews were the research techniques used to collect data. The findings revealed that although there was a number of Key Performance Indicators used to measure performance, not all of them had strong correlation with O level results. The heads needed to critically identify Key Performance Indicators that were an actual measure of school performance, and from these a performance score card check could then be developed so as to monitor performance over a period of time.
Diseases of Aquatic Organisms Dis Aquat Org

Relative virulence of three isolates of Piscirickettsia salmonis for coho salmon Oncorhynchus kisutch ABSTRACT: Piscinckettsia salmonis was first recognized as the cause of mortality among pen-reared coho salmon Oncorhynchus kisutch in Chile. Since the initial isolation of this intracellular Gram-negative bacterium in 1989, similar organisms have been described from several areas of the world, but the associated outbreaks were not reported to be as serious as those that occurred in Chile. To determine if this was due to differences in virulence among isolates of P. salmonis, we conducted an experiment comparing isolates from Chile, British Columbia, Canada, and Norway (LF-89, ATL-4-91 and NOR-92, respectively). For each of the isolates, 3 replicates of 30 coho salmon were injected intraperitoneally with each of 3 concentrations of the bacterium. Negative control fish were injected with MEM-10. Mor-talities were collected d d y for 41 d post-injection. Piscirickettsiosis was observed in fish injected with each of the 3 isolates, and for each isolate, cumulative mortality was directly related to the concentration of bacterial cells administered. The LF-89 isolate was the most virulent, with losses reaching 97 % in the 3 replicates injected with 105. ' TCIDS0, 91 % in the replicates injected with 104 O TCIDSO, and 57 % in the fish injected with 103.0 TCIDS0. The ATL-4-91 isolate caused losses of 92 % in the 3 replicates injected with IO'. ~ TCIDS0, 76% in the fish injected with 104.0 TCIDSO, and 32% in those injected with 103. ' TCIDSo. The NOR-92 isolate was the least virulent, causing 41 % mortality in the replicates injected with 104. = TCIDSO. At 41 d post-injection, 6 % of the fish injected with 1036 TCIDSO NOR-92 had died. Mortality was only 2 % in the fish injected with 102.6 TCID,, NOR-92, which was the same as the negative control group. Because the group injected with the highest concentration (104 TCIDS0) of NOR-92 was still experiencing mortality at 41 d, it was held for an additional 46 d. At 87 d post-injection , the cumulative mortality in this group had reached 70%. These differences in virulence among the isolates were statistically significant (p < 0.0001), and are important for the management of affected stocks of fish.
Interactions between parental traits, environmental harshness and growth rate in determining telomere length in wild juvenile salmon

A larger body size confers many benefits, such as increased reproductive success, ability to evade predators and increased competitive ability and social status. However, individuals rarely maximize their growth rates, suggesting that this carries costs. One such cost could be faster attrition of the telomeres that cap the ends of eukaryotic chromosomes and play an important role in chromosome protection. A relatively short telomere length is indicative of poor biological state, including poorer tissue and organ performance, reduced potential longevity and increased disease susceptibility. Telomere loss during growth may also be accelerated by environmental factors, but these have rarely been subjected to experimental manipulation in the natural environment. Using a wild system involving experimental manipulations of juvenile Atlantic salmon Salmo salar in Scottish streams, we found that telomere length in juvenile fish was influenced by parental traits and by direct environmental effects. We found that faster‐growing fish had shorter telomeres and there was a greater cost (in terms of reduced telomere length) if the growth occurred in a harsher environment. We also found a positive association between offspring telomere length and the growth history of their fathers (but not mothers), represented by the number of years fathers had spent at sea. This suggests that there may be long‐term consequences of growth conditions and parental life history for individual longevity.