Miracle-dz/UniFAR-FTUs huggingface dataset:
Using the WWW as infrastructure for collaborative production of document

Collaborative writing is a common practice in workplaces and academic environments. The possibility to exchange documents through the Internet has paved the way for collaboration among co-authors. To date, the tools available for collaborative writing have largely been limited to email and commenting support. However, communication, coordination and sharing information are factors of vital importance to succeed in a collaborative writing task. The World Wide Web provides a network infrastructure that can support those needs of co-authors. This thesis presents two web-based prototypes, the Domain Help System and Col^'laboracio, aiming to support document and information sharing, communication, and coordination. The main research issue has been how small or middle size groups work collaboratively to discuss, annotate and revise a document on the WWW. Special emphasis has been put on the need to support a dialogue among collaborators. A number of case studies have been carried out, and the tools have been developed using the results of observation on the users' interaction with the systems. The studies indicate that the WWW can successfully be used for sharing documents and discuss their content. Also, asynchronous text-based communication was shown to be an effective medium for collaborative writing. The development of the prototypes has given general experiences on the development of collaborative web-based tools. These experiences suggest that such tools should be designed in collaboration with the users. A method for the design of such tools emerges from these experiences. 2 Acknowledgements There will be many names that will not appear on this page but that does not mean that I am not grateful to those persons, it is just a matter of space. The origin of this thesis is the DHS, a CID project in 1996. So I would like to thanks CID for all the facilities they gave me to start this project. Thanks to Nils-Erik Gustafsson who led the work in the DHS and who taught me the importance of " keeping it simple ". I would like to thank to all my colleagues in the research group at the Interaction and Presentation Laboratory who from time to time have assisted me. Specially to Teresa Cerratto and Hee-Cheol (Ezra) Kim for interesting discussions on my work. Special thanks to Sandra Brunsberg who kindly accepted to use the DHS in her course and for the many ideas we discussed during the experiments. I also want to recognize the work of my …
Evolutionary History of Trihelix Family and Their Functional Diversification

In this study, we carried out an evolutionary, transcriptional, and functional analyses of the trihelix transcription factor family. A total of 319 trihelix members, identified from 11 land plant species, were classified into five clades. The results of phylogeny indicate the binding domains of GT1 and GT2 diverged early in the existence of land plants. Genomic localization revealed that the trihelix family members were highly conserved among cereal species, even though some homeologs generated during the tetraploidy of maize were lost. Three-dimensional structural analyses and an examination of subcellular localization of this family supported the involvement of all five clades in transcriptional regulation. Furthermore, the family members from all clades in sorghum and rice showed a broad and dynamic expression pattern in response to abiotic stresses, indicating regulatory subfunctionalization of their original functions. This finding is further supported by the phenotypes of enhanced tolerance to cold, salt, and drought in transgenic plants overexpressing Sb06g023980 and Sb06g024110. In contrast, few Arobidopsis genes showed inducible expression under abiotic stress conditions, which may indicate a functional shift. Finally, our co-expression analysis points to the involvement of this family in various metabolic processes, implying their further functional divergence.
Does Compliance with Basel Core Principles Bring Any Measurable Benefits?

We explore the relationship between banking sector performance and the quality of regulation and supervision as measured by compliance with the Basel Core Principles for Effective Banking Supervision (BCP). Using BCP assessment results for 65 countries and 1998-2002 panel data for other variables, we find a significant positive impact of higher compliance with BCP on banking sector performance, as measured by nonperforming loans and net interest margin, after controlling for the level of development of the economy and the financial system and macroeconomic and structural factors.
Cryptosporidium oocysts in Ghanaian AIDS patients with diarrhoea.

BACKGROUND Although Cryptosporidiumspp. infections in acquired immunodeficiency syndrome patients (AIDS) with chronic diarrhoea have been reported in several African countries, there is no information regarding cryptosporidial diarrhoea in Ghanaian AIDS patients. OBJECTIVE To investigate the occurrence of C. parvum and other gastrointestinal parasitic agents in Ghanaian AIDS patients with chronic diarrhoea. DESIGN Prospective study of HIV/AIDS patients with diarrhoea over a nine month period. SETTING Korle-Bu Teaching Hospital and Korle-Bu Polyclinic Accra, Ghana. RESULTS Analysis of stool specimens from clinically diagnosed HIV/AIDS (n = 21; mean CD4 count was 288 cells per microliter, 95% confidence interval of 237 to 340 cells per microliter) and HIV-seronegative (n = 27) patients revealed C. parvum in six (28.6%) of HIV/AIDS and 10 (37.0%) of the HIV-seronegative patients, respectively. Three other HIV/AIDS cases had other infections involving Strongyloides stercoralis 4.8% (1/21) and Salmonella spp. 9.5% (2/21). There was no concomitant association between C. parvum and any other parasites found. Also, no enterobacteria was found in the HIV-seronegative patients. CONCLUSION This study demonstrates the prevalence of Cryptosporidium sp. in both HIV/ AIDS and HIV-seronegative individuals in Ghana. However, there was no statistical association between cryptosporidiosis and HIV/AIDS (p > 0.05).
Cross-functionality and innovation in new product development teams: A dilemmatic structure and its consequences for the management of diversity

The ubiquitous hope among managers of new product development (NPD) teams that a cross-functional team composition may be a royal road to enhancing team innovations appears to be an illusion. Empirical analyses show positive as well as negative or nonsignificant relationships between cross-functionality and team innovations. In this article, we integrate the extant literature and develop a process model that explains the contradictory empirical findings. We propose that introducing specific mediators and moderators enables improved predictions of the effects of cross-functionality on team innovations. In developing our model, which is primarily based on a conflict-theoretical perspective, we address theories of social categorization, identity and self verification, information/decision making, group problem solving, and innovativeness, respectively. Our process model explicates how (i.e., via what mediators) and when (i.e., in the presence of what moderators) cross-functionality enhances or impedes synergistic communication among team members, which in turn fosters team innovations. On the basis of this new model we discuss strategies for managing cross-functionality in NPD teams.
Learner Modal Preference and Content Delivery Method Predicting Learner Performance and Satisfaction

The purpose of the study was to investigate how the online, computer-based learner's personal learning profile (Preference), the content delivery method supplemented with visual content based on Neil Fleming's VARK (visual, aural, read/write, kinesthetic) model (Content), and the interaction of Preference and Content, influenced learner performance (Performance) and/or learner self-reported satisfaction (Satisfaction). Participants were drawn from a population of undergraduates enrolled in a large public southwestern research university during the fall 2015 semester. The 165 student participants (13.79% completion rate) were comprised of 52 (31.5%) females and 113 (68.5%) males age 18-58+ years with 126 (76.4%) age 18-24 years. For race/ethnicity, participants self-identified as 1 (0.66%) American Indian/Alaska Native, 21 (12.7%) Asian/Pacific Islander, 27 (16.4%) Black, non-Hispanic, 28 (17%) Hispanic, 78 (47.3%) White, non-Hispanic, 10 (6.1%) other. Reported socioeconomic status was 22 (13.3%) withheld, 53 (32.1%) did not know, 45 (27.3%) low, 13 (7.9%) moderately low, 16 (9.7%) middle, 8 (4.8%) upper middle, and 8 (4.8%) upper. This causal-comparative and quasi-experimental, mixed-method, longitudinal study used researcher-developed web-based modules to measure Performance and Satisfaction, and used the criterion p < . 05 for statistical significance. A two-way, 4 x 3 repeated measures (Time) analysis of variance (RM-ANOVA) using Preference and Content was statistically significant on each Performance measure over Time, and at two measures on Satisfaction over Time. The RM-ANOVA was statistically significant on between-subjects main effect Performance for read/write modality Content compared to aural and kinesthetic Content. There were no statistically significant main effects observed for Satisfaction. A Pearson r correlation analysis showed that participants that were older, married, and of higher socioeconomic status performed better. The correlation analysis also showed that participants who performed better reported greater likelihood to take online courses in the future, higher motivation, sufficient time and support for studies, and sufficient funding for and access to the Internet. The study results suggested that regardless of Preference, using read/write modality Content based on the VARK model while maintaining the verbal language can yield better Performance outcomes. The study results also suggested that while maintaining the verbal language, Preference, and Content based on the VARK model do not distinguish learner Satisfaction outcomes. However, because Satisfaction has been shown to impact Performance, efficacy, and retention, it matters to educational institutions. Future research should consider more granular models and factorial research methods, because models that utilize a single representative construct score can mask effects when analyzing Performance and Satisfaction.
Efficient Collaborative (Viral) Communication in OFDM Based WLANs

In this work we investigate the coordinated transmission and processing of distributed radios employing OFDM signals similar to those employed in 802.11a. After showing that OFDM can be viewed as a set of parallel Gaussian channels with different frequency gain for each sub-carrier, we design receiving schemes that exploit both the direct transmission between transmitter and receiver as well as the assisting relayed signal of a radio that overhears the communication between transmitter and receiver and acts as an analogue repeater. The special structure of 802.11a OFDM signals allow the coordination between transmitter, receiver and intermediate relay to happen on the same channels and the collaboration results in substantial energy savings compared to the traditional single transmitter-single receiver case, providing efﬁcient resource (energy, band-width) utilization.
Factors Affecting Women's Decisions to Leave Violent Relationships*

artick addresses some factors Gelkr proposed to explain why women m y with rpouaa who physically abuse them. Variabks in Gellea'n hypothesis . rt mted with data obtained from women staying in shelten after leaving aburen. G e k uid that decisions to h v e are bawd on certain facton; d d i d by Gclle, that am focused on here arc the severity and frequency of the violence and the amount of abuse the victim suffered from puerru u a child. Gclks derived his data from interviews with 66 wives and 14 husbands in intact families in their homes, whereas this investigotion employed a variety of tcchniqua with female battering victims, usually during thcu stay in rhelters. One technique wu a questionnaire that included item suitabk for testing GeWs hypotheis. Statistical teats offer no ~ r p p o r t for two of the major variables propored by GcUes to explain why b.ttcral women stay with their abusers.
Regional Variation in Phasic Dopamine Release during Alcohol and Sucrose Self-Administration in Rats

While dopamine input to the dorsal striatum is well-known to be critical for action selection, including alcohol-motivated behaviors, it is unknown whether changes in phasic dopamine accompany these behaviors. Long-term alcohol abuse is believed to promote alterations in the neurocircuitry of reward learning in both ventral and dorsal striatum, potentially through increasing dopamine release. Using fast-scan cyclic voltammetry, we measured phasic dopamine release in the dorsal and ventral striatum during alcoholic and nonalcoholic reward-seeking behavior and reward-related cues in rats trained on a variable-interval schedule of reinforcement. We observed robust phasic dopamine release in the dorsolateral striatum after reinforced lever presses and inconsistent dopamine release in the dorsomedial striatum. Contrary to our expectations, alcohol did not enhance dopamine release in rats drinking alcoholic rewards. Cue-induced dopamine release was also observed in the nucleus accumbens core of rats drinking the reward solutions. These data demonstrate that alcoholic and nonalcoholic reward self-administration on a variable-interval schedule of reinforcement in rats is accompanied by phasic dopamine release time-locked to reinforcement in the dorsolateral striatum and the nucleus accumbens, but not the dorsomedial striatum.
Towards a fast implementation of spectral nested dissection

The authors describe the novel spectral nested dissection (SND) algorithm, a novel algorithm for computing orderings appropriate for parallel factorization of sparse, symmetric matrices. The algorithm makes use of spectral properties of the Laplacian matrix associated with the given matrix to compute separators. The authors evaluate the quality of the spectral orderings with respect to several measures: fill, elimination tree height, height and weight balances of elimination trees, and clique tree heights. They use some very large structural analysis problems as test cases and demonstrate on these real applications that spectral orderings compare quite favorably with commonly used orderings, outperforming them by a wide margin for some of these measures. The only disadvantage of SND is its relatively long execution time. <<ETX>>
Implementing Precision Teaching With Students With Moderate to Severe Disabilities

ii! Acknowledgments . iv! Vita . v! Publications . v! Fields of Study . vi! List of Tables . ix! List of Figures . x! Chapter 1: Introduction . 1! Chapter 2: Literature Review . 13! Chapter 3: Research Paper . 48! Chapter 4: Practitioner Paper . 96! Chapter 5: Research Statement . 114! References . 124! Appendix A: Consent Form . 130!
How many participants are really enough for usability studies?

The growth of the Internet and related technologies has enabled the development of a new breed of dynamic websites, applications and software products that are growing rapidly in use and that have had a great impact on many businesses. These technologies need to be continuously evaluated by usability evaluation methods (UEMs) to measure their efficiency and effectiveness, to assess user satisfaction, and ultimately to improve their quality. However, estimating the sample sizes for these methods has become the source of considerable debate at usability conferences. This paper aims to determine an appropriate sample size through empirical studies on the social network and educational domains by employing three types of UEM; it also examines further the impact of sample size on the findings of usability tests. Moreover, this paper quantifies the sample size required for the Domain Specific-to-context Inspection (DSI) method, which itself is developed through an adaptive framework. The results show that there is no certain number of participants for finding all usability problems; however, the rule of 16 4 users gains much validity in user testing. The magic number of five evaluators fails to find 80% of problems in heuristic evaluation, whereas three evaluators are enough to find 91% of usability problems in the DSI method.
Raman Signature of the U(1) Dirac Spin-Liquid State in the Spin-1/2 Kagome System

We followed the Shastry--Shraiman formulation of Raman scattering in Hubbard systems and considered the Raman intensity profile in the spin-1/2 "perfect" kagome lattice herbertsmithite ZnCu_3(OH)_6Cl_2, assuming the ground state is well-described by the U(1) Dirac spin-liquid state. In the derivation of the Raman T-matrix, we found that the spin chirality term appears in the A_{2g} channel in the kagome lattice at the t^4/(\omega_i-U)^3 order, but (contrary to the claims by Shastry and Shraiman) vanishes in the square lattice to that order. In the ensuing calculations on the spin-1/2 kagome lattice, we found that the Raman intensity profile in the E_g channel is invariant under an arbitrary rotation in the kagome plane, and that in all (A_{1g}, E_g, and A_{2g}) symmetry channels the Raman intensity profile contains broad continua that display power-law behaviors at low energy, with exponent approximately equal to 1 in the A_{2g} channel and exponent approximately equal to 3 in the E_g and the A_{1g} channels. For the A_{2g} channel, the Raman profile also contains a characteristic 1/\omega singularity, which arose in our model from an excitation of the emergent U(1) gauge field.
Demand for Cloud Services as an Infrastructure in Higher Education

Cloud computing is one of the major current trends in IS. It is said to be able to increase work productivity and simultaneously lower costs in organizations. However, institutions of higher education, like universities, remain hesitant to adopt it. The ‘NSA scandal’ and similar revelations lead to a sharp decline in trust (especially in Europe) in commercial cloud computing providers like Dropbox and Google. At the same time, cloud computing solutions often are not customized to students’ and employees’ needs. In this context, we examine the concept of ‘university cloud computing services’ by discussing it from the theoretical viewpoint as an ‘infrastructure. ’ We conducted a large-scale survey with over 10,000 student respondents and employees from three universities. Our findings indicate a high demand for cloud computing at those universities and offer valuable implications for designing and managing cloud computing in a higher educational context.
PENGEMBANGAN PERANGKAT PEMBELAJARAN BANGUN RUANG DI SMP DENGAN PENDEKATAN PENDIDIKAN MATEMATIKA REALISTIK

Penelitian ini bertujuan untuk menghasilkan produk berupa perangkat pembelajaran bangun ruang SMP dengan pendekatan pendidikan matematika realistik yang valid, praktis, dan efektif ditinjau dari ketercapaian kompetensi dasar, kemampuan koneksi matematis, dan minat terhadap matematika. Jenis penelitian adalah penelitian pengembangan menggunakan model 4-D yang terdiri atas empat tahap yaitu tahap pendefinisian, perancangan, pengembangan, dan tahap penyebaran. Hasil penelitian berupa perangkat pembelajaran bangun ruang yang terdiri dari silabus, RPP, LKS, dan tes hasil belajar berupa tes ketercapaian kompetensi dasar (TKKD) dan tes kemampuan koneksi matematis (TKKM) yang valid, praktis, dan efektif. Kevalidan perangkat mencapai kategori sangat baik ditinjau dari penilaian ahli. Kepraktisan perangkat mencapai kategori sangat baik ditinjau dari penilaian guru, penilaian siswa, dan observasi keterlaksanaan pembelajaran. Aspek keefektifan dipenuhi dari tercapainya minimal 80% siswa lulus KKM ditinjau dari ketercapaian kompetensi dasar dan kemampuan koneksi matematis, serta lebih dari 80% siswa mempunyai minat terhadap matematika dalam kategori minimal baik. Kata Kunci: pengembangan, perangkat pembelajaran, pendekatan pendidikan matematika realistik, bangun ruang SMP Developing Space Learning Kit in Junior High School with Realistic Mathematics Education Approach Abstract This research aimed to produce space learning kits with realistic mathematics education approach in Junior High School which valid, practical, and effective viewed from achievement of basic competence, mathematical connection ability, and mathematics interest. This research was development research used 4-D model that consisted of four phases: defining, designing, developing, and disseminating. This research produced space learning kit that consisted of syllabus, lesson plans, students’ worksheets, and assessment tests that included test of basic competence achievement and mathematical connection test which valid, practical, and effective. The validity of learning kit get very good category from expert assessment. The practicallity of learning kit get very good category from teachers assessment, students assessment, and observation of learning implementation. The aspect of effectiveness was seen from achievement minimum 80% of the student pass the minimum score for achievement of basic competence and mathematical connection skill, and more than 80% of student have mathematics interest in least good category. Keywords: development, learning kit, realistic mathematics education, space
Fast Visual Retrieval Using Accelerated Sequence Matching

We present an approach to represent, match, and index various types of visual data, with the primary goal of enabling effective and computationally efficient searches. In this approach, an image/video is represented by an ordered list of feature descriptors. Similarities between such representations are then measured by the approximate string matching technique. This approach unifies visual appearance and the ordering information in a holistic manner with joint consideration of visual-order consistency between the query and the reference instances, and can be used for automatically identifying local alignments between two pieces of visual data. This capability is essential for tasks such as video copy detection where only small portions of the query and the reference videos are similar. To deal with large volumes of data, we further show that this approach can be significantly accelerated along with a dedicated indexing structure. Extensive experiments on various visual retrieval and classification tasks demonstrate the superior performance of the proposed techniques compared to existing solutions.
Measuring Short-Run Inflation for Central Bankers

As central bankers intensify their focus on inflation as the primary goal of monetary policy, it becomes increasingly important to have accurate and reliable measures of changes in the aggregate price level. Measuring inflation is surprisingly difficult, involving two types of problems. Commonly used indices, such as the Consumer Price Index (CPI), contain both transitory noise and bias. Noise causes short-run changes in measured inflation to inaccurately reflect movements in long-run trends, while bias leads the long-run average change in the CPI to be too high. In this paper I propose methods of reducing both the noise and the bias in the CPI. Noise reduction is achieved by average monthly inflation in measures called trimmed means' over longer horizons. Trimmed means are statistics similar to the median that are calculated by ignoring the CPI components with extreme high and low changes each month, and averaging the rest. I find that using three month averages halves the noise, while removing the highest and lowest ten percent of the cross-sectional distribution of inflation reduces the monthly variation in inflation by one-fifth.