Miracle-dz/UniFAR-FTUs huggingface dataset:
Jumonji domain protein JMJD5 functions in both the plant and human circadian systems

Circadian clocks are near-ubiquitous molecular oscillators that coordinate biochemical, physiological, and behavioral processes with environmental cues, such as dawn and dusk. Circadian timing mechanisms are thought to have arisen multiple times throughout the evolution of eukaryotes but share a similar overall structure consisting of interlocking transcriptional and posttranslational feedback loops. Recent work in both plants and animals has also linked modification of histones to circadian clock function. Now, using data from published microarray experiments, we have identified a histone demethylase, jumonji domain containing 5 (JMJD5), as a previously undescribed participant in both the human and Arabidopsis circadian systems. Arabidopsis JMJD5 is coregulated with evening-phased clock components and positively affects expression of clock genes expressed at dawn. We found that both Arabidopsis jmjd5 mutant seedlings and mammalian cell cultures deficient for the human ortholog of this gene have similar fast-running circadian oscillations compared with WT. Remarkably, both the Arabidopsis and human JMJD5 orthologs retain sufficient commonality to rescue the circadian phenotype of the reciprocal system. Thus, JMJD5 plays an interchangeable role in the timing mechanisms of plants and animals despite their highly divergent evolutionary paths.
Is It Better To Burn or Bury Waste for Clean Electricity Generation ?

The use of municipal solid waste (MSW) to generate electricity through landfill-gas-to-energy (LFGTE) and waste-to-energy (WTE)projectsrepresentsroughly14%ofU.S. nonhydrorenewable electricity generation. Although various aspects of LFGTE and WTE have been analyzed in the literature, this paper is the first to present a comprehensive set of life-cycle emission factors per unit of electricity generated for these energy recovery options. In addition, sensitivity analysis is conducted on key inputs (e.g., efficiency of the WTE plant, landfill gas management schedules, oxidation rate, and waste composition) to quantify the variability in the resultant life-cycle emissions estimates. While methane from landfills results from the anaerobic breakdown of biogenic materials, the energy derived from WTE results from the combustion of both biogenic and fossil materials. The greenhouse gas emissions for WTE ranges from 0.4 to 1.5 MTCO2e/MWh, whereas the most agressive LFGTE scenerio results in 2.3 MTCO2e/MWh. WTE also produces lower NOx emissions than LFGTE, whereas SOx emissions depend on the specific configurations of WTE and LFGTE.
2 E 102 A Clustering Based Approach to Sentence Ordering for Multidocument Summarization and its Evaluation

Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information does not only make it difficult to understand, but also conveys an entirely different idea to the reader. This paper proposes an algorithm that learns orderings from a set of human ordered texts. We cluster sentences into locally coherent blocks and use a hierarchical clustering algorithm which merge these blocks to create a complete summary. Our experimental results show a significant improvement over the existing methods of sentence ordering.
Application of image processing for the conservation of the medieval mosaic

We present an application of digital image processing to the analysis of the conservation of a medieval mosaic. The art piece is the "The Last Judgement" mosaic, situated on the wall of St Vitus Cathedral in Prague, Czech Republic. A 19/sup th/ century historical photograph of the mosaic was compared with a photograph of its current reconstructed state. The images were first preprocessed to increase their quality (noise reduction, deblurring). In the second stage, geometrical differences between images were removed by means of image registration techniques. Finally, differences between the current and historical photographs were identified.
Health problems and disability of elderly individuals in two population groups from same geographical location.

OBJECTIVE To compare morbidity, disability (ADL-IADL disability) along with behavioral and biological correlates of diseases and disability of two elderly population groups (tea garden workers and urban dwellers) living in same geographical location. METHODS Two hundred and ninety three and 230 elderly from urban setting and tea garden respectively aged > 60 years were included in the study. Subjects were physical examined and activity of daily living instrumental activity of daily living (ADL-IADL) was assessed. Diagnosis of diseases was made on the basis of clinical evaluation, diagnosis and/or treatment of diseases done earlier elsewhere, available investigation reports, and electrocardiography. Hypertension was defined according to JNC-VI classification. BMI (weight/height2) was calculated. Logistic regression analysis was performed to see the impact of important background characteristics on non-communicable diseases (NCD) and disability. RESULTS Hypertension (urban--68% and tea garden--81.4%), musculoskeletal diseases (urban--62.5% and tea garden--67.5%), COPD and other respiratory problems (urban--30.4% and tea garden--32.2%), cataract (urban 40.3% and tea garden--33%), gastro-intestinal problems (urban--13% and tea garden--6.5%) were more commonly observed health problems among community dwellings elderly across both the groups. However in contrast to urban group, serious NCDs like Ischaemic Heart Disease (IHD), diabetes were yet to emerge as health problems among tea garden dwellers. Infectious morbidities, undernutrition and disability (ADL-IADL disability) were more pronounced among tea garden dwellers. Utilization of health service by tea garden elderly was very low in comparison to the urban elderly. Both tea garden men and women had very high rates of risk factors like use of non-smoked tobacco and consumption of alcohol. On the other hand, smoking and obesity was more common in urban group. Most morbidities and disabilities were associated with identifiable risk factors, such as obesity, tobacco (smoked and non-smoked) and alcohol consumption. Educational status was also found to be an important determinant of diseases and disability of elderly population. Age showed a J-shaped relationship with disability and morbidity. Sex difference in health status was also detected. CONCLUSION This study highlights the physical dimension of health problems of elderly individuals. Social circumstances and health risk behaviours play important role in the variation of health and functional status between the two groups. Life-style modification is warranted to prevent onset of chronic diseases. To improve quality of life, rectification of poor health status through affordable health service for disease screening and better management of illness, nutritional improvement and greater health awareness are necessary particularly among low socio-economic group. Low-cost intervention like cataract surgery could make a difference in the quality of life of elderly Indian.
An Organizational Model of Attitude Change 1

The alignment of collective goals and individual behavior has been extensively studied by economists under a principal-agent framework. Two main solutions have been presented: explicit incentive contracts and monitoring. These solutions correspond to changes in the objective situation faced by individuals. However, an extensive literature in social psychology provides evidence that behavior is influenced, not only by situational constraints, but also by attitudes. Attitudes are summary evaluations of persons, objects, ideas, or activities along a dimension ranging from positive to negative. Therefore, an important dimension of organization is to choose the structures and procedures that best contribute to the alignment of attitudes. This paper uses a dynamic model of attitude change to study the relationship between organizational structure, the timing of information flows and the process of formation of attitudes. More specifically, we discuss how the optimal organizational structure and the degree of alignment of attitudes are determined by the interplay of three factors: 1) clustering effects; (2) member cross-influence effects; and (3) leader cross-influence effects. Furthermore, we show that the degree of alignment of attitudes is also influenced by the timing of information flows, that determine the order in which individuals revise their attitudes.
Genome Wide Expression Profiling of Cancer Cell Lines Cultured in Microgravity Reveals Significant Dysregulation of Cell Cycle and MicroRNA Gene Networks

Zero gravity causes several changes in metabolic and functional aspects of the human body and experiments in space flight have demonstrated alterations in cancer growth and progression. This study reports the genome wide expression profiling of a colorectal cancer cell line-DLD-1, and a lymphoblast leukemic cell line-MOLT-4, under simulated microgravity in an effort to understand central processes and cellular functions that are dysregulated among both cell lines. Altered cell morphology, reduced cell viability and an aberrant cell cycle profile in comparison to their static controls were observed in both cell lines under microgravity. The process of cell cycle in DLD-1 cells was markedly affected with reduced viability, reduced colony forming ability, an apoptotic population and dysregulation of cell cycle genes, oncogenes, and cancer progression and prognostic markers. DNA microarray analysis revealed 1801 (upregulated) and 2542 (downregulated) genes (>2 fold) in DLD-1 cultures under microgravity while MOLT-4 cultures differentially expressed 349 (upregulated) and 444 (downregulated) genes (>2 fold) under microgravity. The loss in cell proliferative capacity was corroborated with the downregulation of the cell cycle process as demonstrated by functional clustering of DNA microarray data using gene ontology terms. The genome wide expression profile also showed significant dysregulation of post transcriptional gene silencing machinery and multiple microRNA host genes that are potential tumor suppressors and proto-oncogenes including MIR22HG, MIR17HG and MIR21HG. The MIR22HG, a tumor-suppressor gene was one of the highest upregulated genes in the microarray data showing a 4.4 log fold upregulation under microgravity. Real time PCR validated the dysregulation in the host gene by demonstrating a 4.18 log fold upregulation of the miR-22 microRNA. Microarray data also showed dysregulation of direct targets of miR-22, SP1, CDK6 and CCNA2.
MagMites - Microrobots for wireless microhandling in dry and wet environments

Central to the challenge of building sub-mm robots, or microrobots, is the development of effective power storage and locomotion mechanisms. In 2007 we introduced the Wireless Resonant Magnetic Micro-actuator (WRMMA) and its application in a successful microrobotic platform, the MagMite.
Behavioral Modeling of GaN FETs: A Load-Line Approach

In this paper, a new model formulation is presented that correctly accounts for low-frequency dispersion (i.e., trapping and thermal phenomena) affecting field-effect transistors (FETs). In particular, for the first time a behavioral description is applied only to the intrinsic current generator, enabling the correct measurement-based evaluation of the intrinsic device operation. The model, which is by construction technology independent, has been extensively validated considering a GaN FET. This choice is justified by the large interest around this technology and by the presence of dispersion effects that must be accurately accounted for.
A Spectrum Sensing Technique for Cognitive Radios in the Presence of Harmonic Images

Harmonic downmixing is an important effect that must be taken into account when performing sensitive spectrum sensing using direct-conversion receivers. When the local oscillator waveform contains harmonics of the fundamental frequency, the quadrature mixer in the receiver will downconvert RF signals found at these harmonics, termed harmonic images, in addition to the RF signals around the fundamental frequency. The harmonic images will be detected by power spectral density based sensing algorithms and will cause certain parts of the desired spectrum to be mistakenly flagged as occupied. Although harmonic downmixing is important to consider, it is an often negelected effect. This paper presents a harmonic rejection spectral sensing technique, that exploits two quadrature mixers. The mixers work with different LO frequencies, which decorrelate the harmonic images so that cross-correlation of their outputs renders an improved spectral estimate. In addition to rejecting the harmonic images, spurious signals entering the receiver through the analog baseband inputs was also be rejected. The frequency resolution of the spectral estimate is scalable and the rejection of the harmonic images increases 15 dB per 1000-fold increase of the correlation time. The complexity of the algorithm is analyzed and its performance is shown by means of simulations. The effect of I/Q imbalance is also taken into account.
A Neuroendocrine Mechanism of Co-Morbidity of Depression-Like Behavior and Myocardial Injury in Rats

Depression is generally a recurrent psychiatric disorder. Evidence shows that depression and cardiovascular diseases are common comorbid conditions, but the specific pathological mechanisms remain unclear. The purpose of this study is to determine the effects of depression induced by chronic unpredictable mild stress (CUMS) on myocardial injury and to further elucidate the biological mechanism of depression. Rats were used as a model. The CUMS procedure lasted for a total of 8 weeks. After 4 weeks of CUMS, treated rats exhibited a reduced sucrose preference and changes in scores on an open field test, body weight and content of 5-HT in the brain as compared with the values of these variables in controls. These changes indicated depression-like changes in CUMS rats and demonstrated the feasibility of the depression model. In addition, pathological changes in the myocardium and increased cardiomyocyte apoptosis demonstrated that myocardial injury had occurred after 6 weeks of CUMS and had increased significantly by the end of 8 weeks of CUMS. Plasma serotonin (5-HT), norepinephrine (NE) and epinephrine (E), all depression-related neuroendocrine factors, were measured by HPLC-ECD techniques, and the content of plasma corticosterone (GC) was evaluated by an I125–cortisol radioactivity immunoassay in control and CUMS rats. The results indicated that 5-HT had decreased, whereas NE, E and GC had increased in CUMS rats, and these factors might be associated with depression-induced myocardial injury. The effects of 5-HT, NE and GC on the survival rate of cultured cardiomyocytes were determined using an orthogonal design. The results showed that 5-HT was a more important factor affecting cell survival than GC or NE. The results suggested that normal blood levels of 5-HT had a cytoprotective effect. The neuroendocrine disorders characterized by decreased 5-HT combined with increased GC and NE mediated the occurrence of depression-induced myocardial injury.
A Heuristic-Based Co-clustering Algorithm for the Internet Traffic Classification

Classifying network traffic in a real-time fashion on large-scale communication networks has been extensively studied in recent years due to its importance in many areas such as network security, QoS provisioning, and network management. To address this issue, port numbers and packet payload signatures have been widely used in many existing traffic classification tools. They, however, are far away from completed due to for example the increase of new Internet applications and traffic encryption. In this paper, we propose a hybrid framework to classify the Internet traffic, combining a classifier based on the well-known port numbers and packet payload signatures, and a novel heuristic-based co-clustering algorithm for classifying the leftover unknown Internet traffic. Taking advantage of a fast unsupervised co-clustering algorithm with simple flow-based features, our traffic classifier can perform a real-time computing online for application discovery on the Internet. Experimental evaluations with over 200,000 network flows collected over two consecutive days on a large-scale WiFi ISP show that the proposed approach successfully classifies a large portion of the Internet traffic missed by the signature based classifier while also reducing the false alarm rate.
Design of multi-wavelength optical power meter using feedback resistor combination

Optical power is one of the important parameters in optics. Optical power is used to determine losses that occur along the optic link. Optical power is also needed in the designing optical fiber sensors. In this research, design of signal-conditioning-circuit and optical-power-measurements characterization for laser at wavelength 1310 nm and 1552 nm have been conducted. This device works as an optical power meter. It uses 6 units of resistances (100 Ω, 1k Ω, 10k Ω, 100k Ω, 1M Ω and 10M Ω) as feedback of transimpedance amplifier. These resistors are connected in parallel and combined to expand the measurement range of optical power. The obtained data were compared and validated with Anritsu ML9002A OPM. The result was 5 different optical power measurement regions for each wavelength from -5 dBm to -45 dBm. This range can be expanded using analytical approach to obtain a wider dynamic range.
Shared and Distributed Implementations of Block Preconditioned Conjugate Gradient Using Domain Decomposition on a Distributed Virtual Shared Memory Computer

The BBN TC2000 is a virtual shared memory multiprocessor with up to 512 nodes. Each node contains one RISC processor (a Motorola 88100) and 16 MBytes of memory. The originality of the BBN TC2000 comes from its interconnection network (Butterry switch) and from its globally addressable memory. Memory references can be either remote or local to one node. We study the implementations of the SSOR and Jacobi block preconditioned conjugate gradient methods using a domain decomposition technique on the BBN TC2000. We consider the solution of block tridiagonal systems arising from the discretization of 3D partial diierential equations. The solution of the diagonal subproblems required for the preconditionings are performed using a domain decomposition method with overlapped subdomains : a variant of the Schwarz alternating method. We consider several parallelizations. In the rst implementation, we view the BBN TC2000 as a shared memory computer using the same parallelization approach as in our previous experiments on the ALLIANT FX/80 and the IBM 3090. In this implementation we exploit only the parallelism provides by the domain decomposition method. We have ported our version of the code developped on the Alliant FX/80 and the IBM 3090 to the TC2000 using the BBN Fortran programming language extensions. Since one of the main parameters on virtual shared memory architectures is the ratio of time for local to remote data accesses, data locality is crucial and may highly penalize code without enough locality of references. Therefore, most of the tuning done on the BBN TC2000 was aimed to eeciently map the code into the memory hierarchy within one node while avoiding remote memory references. Next, we consider the computer as a distributed memory multiprocessor on which communications are performed either through shared memory or through the message passing library provided with the P4 package from the Argonne National Laboratory. The main advantage of the distributed memory implementation is that it allows us to exploit two levels of parallelism in the case of diagonal preconditioning.
Mobile health information system integrated with voip technology in a wireless hospital

National Taiwan University Hospital (NTUH) launched a pilot project which exploits existing wireless environment covering medical campus, main hospital and branch hospitals. IP phones with communication applications including direct calls, broadcasting, and conferencing were provided to doctors, nurses, and staffs in NTUH. Handheld devices including PDA and tablet PC were used as user interfaces to access electronic medical records and medical images of patients at anytime and in anywhere. In this project VoIP technology integrates with a mobile hospital information system, enabling seamless and spaceless collaboration among medical professionals and administration staff to provide a continuous and comprehensive healthcare for patients in the hospital.
Brainwave Analysis for Robot Movement Depending on Age and Sex Differences

A Brain-Computer Interface (BCI) is a direct communication pathway between a human and external device. This system is very useful especially for disabled people as their brainwave still can emit electrical activity and can move the machine even with severe motor impairments. This research aims to investigate the brain waves produced by humans in terms of attention level for robot movement based on sex and age category of children (6-12 years), teenagers (18-25 years old) and adult (30 years and over). An Electroencephalography (EEG) device called Neurosky Mindwave Mobile has been used to obtain brainwave signals produced by humans. There were five aspects of robot movement namely forward (F), right (R), left (L), backward (B) and stop (S). From the analysis, the subject is less focus when doing the backward movement compared to another aspect of movements. Based on sex difference, the male has a higher attention level than female in every aspect of movement except for the left movement. The age group that has the highest attention level is teenager and the lowest is adult. It can be concluded that the attention level produced by human varies depending on age and sex difference of the individual itself.
Corpora based Approach for Arabic/English Word Translation Disambiguation

We are presenting a word sense disambiguation method applied in automatic translation of a query from Arabic into English. The developed machine learning approach is based on statistical models, that can learn from parallel corpora by analysing the relations between the items included in this corpora in order to use them in the word sense disambiguation task. The relations between items in this corpora are obtained by using and developing a purely statistical method from corpora in order to avoid the use of structured linguistic resources like ontology which are not yet available for Arabic in an appropriate quality. The results of this analysis should provide us with some useful semantic information that can help to find the best translation equivalents of the polysemous items.
A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact

This paper presents a numerically robust algorithm for solving linear complementarity problems (LCPs), and applies it to simulation of frictional contacts of articulated rigid bodies each modeled as a general polygonal object. We first point out two problems of the popular pivot-based LCP solver called Lemke Algorithm and its extension with lexicographic ordering, due to numerical errors especially for ill-conditioned LCPs. Our new algorithm solves these problems by storing all pivot candidates and searching for a sequence of pivots that leads to a solution. An LCP-based contact dynamics formulation is combined with a forward dynamics algorithm for articulated rigid bodies to perform the whole simulation using a dynamic programming approach. Simulation examples using a humanoid robot show that the Lemke Algorithm (with or without lexicographic ordering) cannot solve complex contact problems, while our algorithm can successfully simulate such situations. We also demonstrate that the simulation results are qualitatively similar to those of hardware experiments.