Miracle-dz/UniFAR-FTUs huggingface dataset:
Balancing Performance and Responsiveness Using an Augmented Instant Messaging Client

The growing use of Instant Messaging for social and work-related communication has created a situation where incoming messages often become a distraction to users while they are performing important tasks. Staying on task at the expense of responsiveness to IM buddies may portray the users as impolite or even rude. Constantly attending to IM, on the other hand, may prevent users from performing tasks efficiently, leaving them frustrated. In this paper we present a tool that augments a commercial IM client by automatically increasing the salience of incoming messages that may deserve immediate attention, helping users decide whether or not to stay on task.
Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau

Land surface heterogeneities are important for accurate estimation of land-atmosphere interactions and their feedbacks on water and energy budgets. To physically introduce existing land surface heterogeneities into a mesoscale model, a land data assimilation system was coupled with a mesoscale model (LDAS-A) to assimilate low-frequency satellite microwave observations for soil moisture and the combined system was applied in the Tibetan Plateau. Though the assimilated soil moisture distribution showed high correlation with Advanced Microwave Scanning Radiometer on the Earth Observing System soil moisture retrievals, the assimilated land surface conditions suffered substantial errors and drifts owing to predicted model forcings (i.e., solar radiation and rainfall). To overcome this operational pitfall, the Coupled Land and Atmosphere Data Assimilation System (CALDAS) was developed by coupling the LDAS-A with a cloud microphysics data assimilation. CALDAS assimilated lower frequency microwave data to improve representation of land surface conditions, and merged them with higher frequency microwave data to improve the representation of atmospheric conditions over land surfaces. The simulation results showed that CALDAS effectively assimilated atmospheric information contained in higher frequency microwave data and significantly improved correlation of cloud distribution compared with satellite observation. CALDAS also improved biases in cloud conditions and associated rainfall events, which contaminated land surface conditions in LDAS-A. Improvements in predicted clouds resulted in better land surface model forcings (i.e., solar radiation and rainfall), which maintained assimilated surface conditions in accordance with observed conditions during the model forecast. Improvements in both atmospheric forcings and land surface conditions enhanced land-atmosphere interactions in the CALDAS model, as confirmed by radiosonde observations.
Targeting cell cycle regulators in hematologic malignancies

Hematologic malignancies represent the fourth most frequently diagnosed cancer in economically developed countries. In hematologic malignancies normal hematopoiesis is interrupted by uncontrolled growth of a genetically altered stem or progenitor cell (HSPC) that maintains its ability of self-renewal. Cyclin-dependent kinases (CDKs) not only regulate the mammalian cell cycle, but also influence other vital cellular processes, such as stem cell renewal, differentiation, transcription, epigenetic regulation, apoptosis, and DNA repair. Chromosomal translocations, amplification, overexpression and altered CDK activities have been described in different types of human cancer, which have made them attractive targets for pharmacological inhibition. Mouse models deficient for one or more CDKs have significantly contributed to our current understanding of the physiological functions of CDKs, as well as their roles in human cancer. The present review focuses on selected cell cycle kinases with recent emerging key functions in hematopoiesis and in hematopoietic malignancies, such as CDK6 and its role in MLL-rearranged leukemia and acute lymphocytic leukemia, CDK1 and its regulator WEE-1 in acute myeloid leukemia (AML), and cyclin C/CDK8/CDK19 complexes in T-cell acute lymphocytic leukemia. The knowledge gained from gene knockout experiments in mice of these kinases is also summarized. An overview of compounds targeting these kinases, which are currently in clinical development in various solid tumors and hematopoietic malignances, is presented. These include the CDK4/CDK6 inhibitors (palbociclib, LEE011, LY2835219), pan-CDK inhibitors that target CDK1 (dinaciclib, flavopiridol, AT7519, TG02, P276-00, terampeprocol and RGB 286638) as well as the WEE-1 kinase inhibitor, MK-1775. The advantage of combination therapy of cell cycle inhibitors with conventional chemotherapeutic agents used in the treatment of AML, such as cytarabine, is discussed.
Global analysis of cell cycle gene expression of the legume symbiont Sinorhizobium meliloti

Significance The bacterium Sinorhizobium meliloti establishes an agriculturally and ecologically important nitrogen-fixing symbiosis with leguminous plants. During symbiosis, the bacterial cells undergo drastic cellular differentiation and alter their cell cycle regulation such that they become highly polyploid. Cell cycle research has been limited in S. meliloti because there has been no method to generate synchronous cell populations. Here we describe a robust method to synchronize S. meliloti and present a global analysis of S. meliloti cell cycle gene expression. The results of this study suggest that the S. meliloti cell cycle transcriptional regulatory network, especially the regulon of the master regulator CtrA, has adapted specifically to fit its lifestyle both within the soil and its legume host. In α-proteobacteria, strict regulation of cell cycle progression is necessary for the specific cellular differentiation required for adaptation to diverse environmental niches. The symbiotic lifestyle of Sinorhizobium meliloti requires a drastic cellular differentiation that includes genome amplification. To achieve polyploidy, the S. meliloti cell cycle program must be altered to uncouple DNA replication from cell division. In the α-proteobacterium Caulobacter crescentus, cell cycle-regulated transcription plays an important role in the control of cell cycle progression but this has not been demonstrated in other α-proteobacteria. Here we describe a robust method for synchronizing cell growth that enabled global analysis of S. meliloti cell cycle-regulated gene expression. This analysis identified 462 genes with cell cycle-regulated transcripts, including several key cell cycle regulators, and genes involved in motility, attachment, and cell division. Only 28% of the 462 S. meliloti cell cycle-regulated genes were also transcriptionally cell cycle-regulated in C. crescentus. Furthermore, CtrA- and DnaA-binding motif analysis revealed little overlap between the cell cycle-dependent regulons of CtrA and DnaA in S. meliloti and C. crescentus. The predicted S. meliloti cell cycle regulon of CtrA, but not that of DnaA, was strongly conserved in more closely related α-proteobacteria with similar ecological niches as S. meliloti, suggesting that the CtrA cell cycle regulatory network may control functions of central importance to the specific lifestyles of α-proteobacteria.
Coordinated Activities of Multiple Myc-dependent and Myc-independent Biosynthetic Pathways in Hepatoblastoma*♦

Hepatoblastoma (HB) is associated with aberrant activation of the β-catenin and Hippo/YAP signaling pathways. Overexpression of mutant β-catenin and YAP in mice induces HBs that express high levels of c-Myc (Myc). In light of recent observations that Myc is unnecessary for long-term hepatocyte proliferation, we have now examined its role in HB pathogenesis using the above model. Although Myc was found to be dispensable for in vivo HB initiation, it was necessary to sustain rapid tumor growth. Gene expression profiling identified key molecular differences between myc+/+ (WT) and myc−/− (KO) hepatocytes and HBs that explain these behaviors. In HBs, these included both Myc-dependent and Myc-independent increases in families of transcripts encoding ribosomal proteins, non-structural factors affecting ribosome assembly and function, and enzymes catalyzing glycolysis and lipid bio-synthesis. In contrast, transcripts encoding enzymes involved in fatty acid β-oxidation were mostly down-regulated. Myc-independent metabolic changes associated with HBs included dramatic reductions in mitochondrial mass and oxidative function, increases in ATP content and pyruvate dehydrogenase activity, and marked inhibition of fatty acid β-oxidation (FAO). Myc-dependent metabolic changes included higher levels of neutral lipid and acetyl-CoA in WT tumors. The latter correlated with higher histone H3 acetylation. Collectively, our results indicate that the role of Myc in HB pathogenesis is to impose mutually dependent changes in gene expression and metabolic reprogramming that are unattainable in non-transformed cells and that cooperate to maximize tumor growth.
Health Care Information Systems and Personalized Services for Assisting Living of Elderly People at Nursing Home

The nursing homes, where home adaptations (environmental improvements) and assistive technology (AT) are provided, represent an increasingly attractive mean of helping elderly people to maintain their independence and enhancing their quality of life. Doctors and specialists are involved in order to provide personalized health care services to elderly people so as to have a better life and treatment. The main difference from a typical health home is that nursing homes are using new technologies and applications in order to collect data from elderly people and create an electronic file for each elderly people. The basic idea of this paper is to use a web application and tablet PC or PDA in order to collect people¿s both personal information and clinical characteristics. Moreover, this application helps doctors to manage the nursing home and have a better view of the health status of each patient, getting in parallel a report regarding the medical supplies needed at the nursing home.
Student modeling for a web-based learning environment: a data mining approach

This ongoing research focuses on how data mining techniques, if incorporated into web learning environments, can enhance the overall qualities of learning. In a web-based learning environment, where both the tutors and learners are separated spatially and physically, student modeling is one of the biggest challenges. Traditional student modeling techniques are inapplicable in these systems when tutors are overwhelmed by the huge volumes of sequential data (Agrawal and Srikant 1995) generated as learners browse through the web pages. Web mining techniques, including clustering and association rules mining, could be applied to extract hidden and interesting knowledge to facilitate instructional planning and student diagnosis. Web mining in education is not new. It has been applied to mine aggregate paths for learners engaged in a distance education environment (Ha, Bae and Park 2000); to recommend relevant words to students based on text mining from their browsed documents (Ochi et al. 1998); to recommend e-articles for students based on key-word-driven text mining (Tang et al. 2000), and to analyze learners’ learning behaviors (Zaiane and Luo 2001). The research proposed here will go beyond usage mining to consider the content of the pages that have been visited. In an e-learning system, both learners’ browsing behaviors and course content are important to derive learners’ learning levels, intentions, goals, interests, or abilities. Incorporating course content can aid in an understanding of learners’ browsing habits. In particular, understanding the learners’ browsing behaviors can facilitate, say, the personalization of course contents delivered. Artificial intelligence in education (AIED) systems typically employ a knowledge base, a student model, and instructional plans. For a web-based AIED system, web mining becomes part of student modeling. Traditional usage data (Cooley 2000) keeps a lot of information that is not needed. But we do need the knowledge of content and complexity of each page. Finding and using such knowledge is tractable in our domain since we can annotate course web pages with metadata and the knowledge base, and instructional plan also give context for the properties of each page. The system can relate its mined knowledge of page contents and student navigation patterns to students’ level of understanding (Tang et al. 2001) to decide upon appropriate feedback to them.
Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis

The initial area under the gadolinium curve (IAUGC) is often used in addition to or as an alternative to parameters derived from pharmacokinetic modelling of T1-weighted dynamic contrast-enhanced (DCE) MRI data in the assessment of response to treatment of cancer. However, the physiological meaning of the IAUGC has not been rigorously defined with respect to model-based parameters. Here, simulations of DCE-MRI data were used to investigate the relationship between IAUGC and the parameters Ktrans (transfer constant), ve (fractional extravascular extracellular volume) and vp (fractional plasma volume), using two vascular input functions. It is shown that IAUGC is a mixed parameter that can display correlation with Ktrans, ve and vp and ultimately has an intractable relationship with all three. Furthermore, it is demonstrated that the range over which IAUGC is taken and the nature of the vascular input function do not significantly affect this relationship.
LRP: a multifunctional scavenger and signaling receptor.

The LDL receptor–related protein (LRP) is larger than but structurally similar to other members of the LDL receptor gene family, an ancient family of endocytic receptors (1–3). Whereas the LDL receptor, the founding member of this family, appears to act solely in lipoprotein metabolism, the LRP and other members of this family appear to have other distinct functions. In this article, we will focus on the diverse biological roles of the LRP, which include functions in lipid metabolism, and also in the homeostasis of proteinases and proteinase inhibitors, cellular entry of viruses and toxins, activation of lysosomal enzymes, cellular signal transduction, and neurotransmission.
Leapfrogging Paper-Based Records Using Handheld Technology: Experience from Western Kenya

PROBLEM There is limited experience with broad-based use of handheld technologies for clinical care during home visits in sub-Saharan Africa. OBJECTIVE We describe the design, development, implementation, and evaluation of a PDA/GPS-based system currently used during home visits in Western Kenya. RESULTS The system, built on Pendragon Forms, was used to create electronic health records for over 40,000 individuals over a three-month period. Of these, 1900 represented cases where the individual had never received care for the identified condition in an established care facility. On a five-point scale, and compared to paper-and-pen systems, end-users felt that the handheld system was faster (4.4±0.9), easier to use (4.5±0.8), and produced higher quality data (4.7±0.7). Projected over three years to cover two million people, use of the handheld technologies would cost about $0.15 per person--compared to $0.21 per individual encounter entered manually into a computer from a paper form. CONCLUSION A PDA/GPS system has been successfully and broadly implemented to support clinical care during home-based visits in a resource-limited setting.
Transcriptional profiling of genes involved in n-hexadecane compounds assimilation in the hydrocarbon degrading Dietzia cinnamea P4 strain

The petroleum-derived degrading Dietzia cinnamea strain P4 recently had its genome sequenced and annotated. This allowed employing the data on genes that are involved in the degradation of n-alkanes. To examine the physiological behavior of strain P4 in the presence of n-alkanes, the strain was grown under varying conditions of pH and temperature. D. cinnamea P4 was able to grow at pH 7.0–9.0 and at temperatures ranging from 35 ºC to 45 ºC. Experiments of gene expression by real-time quantitative RT-PCR throughout the complete growth cycle clearly indicated the induction of the regulatory gene alkU (TetR family) during early growth. During the logarithmic phase, a large increase in transcriptional levels of a lipid transporter gene was noted. Also, the expression of a gene that encodes the protein fused rubredoxin-alkane monooxygenase was enhanced. Both genes are probably under the influence of the AlkU regulator.
An Age-Old Problem: Examining the Discourses of Ageing in HCI and Strategies for Future Research

Ageing has become a significant area of interest in Human-Computer Interaction (HCI) in recent years. In this article we provide a critical analysis of 30 years of ageing research published across the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) community. Discourse analysis of the content of 644 archival papers highlights how ageing is typically framed as a “problem” that can be managed by technology. We highlight how ageing is typically defined through an emphasis on the economic and societal impact of health and care needs of older people, concerns around socialisation as people age, and declines in abilities and associated reductions in performance when using technology. We draw from research within the fields of social and critical gerontology to highlight how these discourses in SIGCHI literature represent common stereotypes around old age that have also prevailed in the wider literature in gerontology. We conclude by proposing strategies for future research at the intersection of ageing and HCI.
Amap: a technology mapper for selector-based field-programmable gate arrays

This paper presents two algorithms for doing mapping from multi-level logic to selector-based field-programmable gate arrays, such as the Actel chip. The gate counts and CPU time are compared with two previous mappers for these architectures: misI1 and mis-pga. The Amap algorithm use 6% fewer cells than mid1 and only about 8% more cells than the best achieved by mis-pga, and is at least 25 times as fast as mid1 and at least 586 times as fast as mis-pga. The XAmap algorithm is slightly slower, and not quite as effective.
Percentage difference of resistivity of nanoparticles in determining crude oil using sand-pack experimental method

Nanoparticle with its nanoscale can be used as a data collector in every part of the development of the petroleum field. By having a hydrophilic condition for the nanoparticles, it can move to the targeted area in the water zone. The hydrophilic condition will differentiate between oil zone and water zone. The objective of the study is to use the hydrophilic nanoparticles to detect the oil and water zones using sand-pack displacement test. An experiment using the sand-pack method was done to show that the hydrophilic nanoparticles can be used to collect data. The nanoparticles used were aluminum oxide (Al) and nickel zinc ferrite oxide (NiZnFeO). The results showed that for NiZnFeO, at 3-inch distance from the injection point, the percentage difference increased from 15% to 25%, while for Al2O, the nanoparticles also showed the same increment but different in values, which were from 6% to 15%. This is shown by the significant change of resistivity percentage at the 3-inch distance. To conclude, the use of both types of nanoparticles that have hydrophilic nanoparticles can show the significant changes for resistivity at internal short front face of well reservoir with oil zone only.
Linear Dispersion Codes with Limited Feedback

LDCs system with finite-rate error-free feedback is proposed in this letter. The optimal transmission codeword is selected at the receiver and the codeword index is sent to the transmitter. A simple random search algorithm is introduced for codebook generation. Moreover, the max-min singular value criterion is adopted for codeword selection. Simulation results showed that, with only 3-4 feedback bits, the low-complexity Zero-Forcing receiver can approach the Maximum-Likelihood (ML) performance.
Tear levels of neuropeptides increase after specific allergen challenge in allergic conjunctivitis

Purpose Growing evidence is showing a role of neurogenic inflammation in allergic reactions, with sensory and autonomic nerve fibers releasing neuromediators, which may actively participate in the allergic inflammatory cascade. Although the cornea is the most densely innervated tissue of the human body, little is known on the role of neuromediators at the ocular surface. In this study, we aimed at evaluating the role of substance P (SP), calcitonine gene related peptide (CGRP), neuropeptide Y (NPY) and vasoactive intestinal peptide (VIP) in allergic reactions of the ocular surface. Methods Fifteen patients with allergic conjunctivitis (6 female, 9 male, mean age 30±8 years) in non-active phase, and 10 age-matched healthy subjects were included in this study. The conjunctival provocation test (CPT) with allergen was performed in all allergic patients and in 5 healthy subjects. Tear samples were collected and the tear content of VIP, NPY, CGRP, and SP was measured by ELISA at baseline and after CPT. The Mann–Whitney U-test and Wilcoxon test were used to compare neuromediator tear levels. Results No significant differences in neuropeptide tear levels were observed between healthy and allergic patients in non-active phase. CPT induced conjunctival hyperemia and itching in all allergic patients, while no reaction was observed in the control eyes and in healthy subjects. In allergic patients SP, CGRP, and VIP, but not NPY, were significantly higher after CPT as compared to baseline (SP: 3.9±1.3 ng/ml versus 5.8±1.1 ng/ml, p=0.011; CGRP: 5.5±2.3 ng/ml versus 7.3±2.7 ng/ml; p=0.002; VIP: 4±0.9 ng/ml versus 5.1±1.5 ng/ml, p=0.007). No significant changes were observed in the control eyes of allergic patients challenged with diluent and in healthy subjects after allergen provocation. Conclusions Locally-released neuromediators may participate in modulating the allergic response of the ocular surface.