Miracle-dz/UniFAR-FTUs huggingface dataset:
Accelerating Innovation Through Analogy Mining

The availability of large idea repositories (e.g., the U.S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems. However, finding useful analogies in these large, messy, real-world repositories remains a persistent challenge for either human or automated methods. Previous approaches include costly hand-created databases that have high relational structure (e.g., predicate calculus representations) but are very sparse. Simpler machine-learning/information-retrieval similarity metrics can scale to large, natural-language datasets, but struggle to account for structural similarity, which is central to analogy. In this paper we explore the viability and value of learning simpler structural representations, specifically, "problem schemas", which specify the purpose of a product and the mechanisms by which it achieves that purpose. Our approach combines crowdsourcing and recurrent neural networks to extract purpose and mechanism vector representations from product descriptions. We demonstrate that these learned vectors allow us to find analogies with higher precision and recall than traditional information-retrieval methods. In an ideation experiment, analogies retrieved by our models significantly increased people's likelihood of generating creative ideas compared to analogies retrieved by traditional methods. Our results suggest a promising approach to enabling computational analogy at scale is to learn and leverage weaker structural representations.
Time‐varying exposure and the impact of stressful life events on onset of affective disorder

Stressful life events are now established as risk factors for the onset of affective disorder but few studies have investigated time‐varying exposure effects. Discrete (grouped) time survival methods provide a flexible framework for evaluating multiple time‐dependent covariates and time‐varying covariate effects. Here, we use these methods to investigate the time‐varying influence of life events on the onset of affective disorder. Various straightforward time‐varying exposure models are compared, involving one or more (stepped) time‐dependent covariates and time‐dependent covariates constructed or estimated according to exponential decay. These models are applied to data from two quite different studies. The first, a small scale interviewer‐based longitudinal study (n = 180) concerned with affective disorder onset following loss (or threat of loss) event experiences. The second, a questionnaire assessment as part of an ongoing population study (n = 3353), provides a history of marital loss events and of depressive disorder onset. From the first study the initial impact of loss events was found to decay with a half‐life of 5 weeks. Psychological coping strategy was found to modify vulnerability to the adverse effects of these events. The second study revealed that while men had a lower immediate risk of disorder onset following loss event experience their risk period was greater than for women. Time‐varying exposure effects were well described by the appropriate use of simple time‐dependent covariates. Copyright © 2002 John Wiley & Sons, Ltd.
A Real-Time Photo-Realistic Visual Flythrough

In this paper we present a comprehensive flythrough system which generates photo-realistic images in true real-time. The high performance is due to an innovative rendering algorithm based on a discrete ray casting approach, accelerated by ray coherence and multiresolution traversal. The terrain as well as the 3D objects are represented by a textured mapped voxel-based model. The system is based on a pure software algorithm and is thus portable. It was first implemented on a workstation and then ported to a general-purpose parallel architecture to achieve real-time performance.
Accountabilities of presence: reframing location-based systems

How do mobility and presence feature as aspects of social life? Using a case study of paroled offenders tracked via Global Positioning System (GPS), we explore the ways that location-based technologies frame people's everyday experiences of space. In particular, we focus on how access and presence are negotiated outside of traditional conceptions of "privacy. " We introduce the notion of accountabilities of presence and suggest that it is a more useful concept than "privacy" for understanding the relationship between presence and sociality.
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation

Social recommendation explores social information to improve the quality of a recommender system. It can be further divided into explicit and implicit social network recommendation. The former assumes the existence of explicit social connections between users in addition to the rating data. The latter one assumes the availability of only the ratings but not the social connections between users since the explicit social information data may not necessarily be available and usually are binary decision values (e.g., whether two people are friends), while the strength of their relationships is missing. Most of the works in this field use only rating data to infer the latent social networks. They ignore the dynamic nature of users that the preferences of users drift over time distinctly. To this end, we propose a new Implicit Dynamic Social Recommendation (IDSR) model, which infers latent social network from cascade data. It can sufficiently mine the information contained in time by mining the cascade data and identify the dynamic changes in the users in time by using the latest updated social network to make recommendations. Experiments and comparisons on three real-world datasets show that the proposed model outperforms the state-of-the-art solutions in both explicit and implicit scenarios.
Microwave-assisted extraction of the gallic acid biomarker from Acacia arabica bark followed by HPLC analysis

An efficient and fast microwave-assisted extraction (MAE) technique was developed for extracting gallic acid as an indicative biomarker for the quality control of Acacia arabica bark. The MAE technique was optimized and compared with other conventional extraction techniques. The optimal conditions of MAE were 20% methanol as solvent, solid/liquid ratio 1:40 (g/mL), irradiation power 20% and two extraction cycles, 5 min each. The proposed extraction technique produced a maximum yield of 10.59 (mg/g) gallic acid in 10 min, which was 1.03 and 1.15 times more efficient than 6 h of heat reflux and 24 h of maceration extraction, respectively. This high yield, along with saving of time, energy, and solvent would position MAE as a valuable and cost-effective technology suitable for today's highly competitive industries, with growing demand for increased productivity, improved efficiency, and reduced cycle time. Moreover, a new high-performance liquid chromatography method was developed and validated for the determination of gallic acid in Acacia arabica bark extract. The method was found to be rapid, sensitive, accurate, precise, and robust. The method showed good linearity over concentration range 1-100 (µg/mL) with LOD 16.08 (ng/mL) and LOQ 48.73 (ng/mL). The average recovery obtained using standard addition technique was 100.36% with a low value of RSD% (1.19%) indicating the accuracy of the proposed method for determination of gallic acid in Acacia arabica bark extract.
Non-compliance with fishery regulation by fisher typology in Sudan

Violation to mesh size regulation in Jebel Aulia Re servoir fishery White Nile Sudan has increased significantly in recent years. This s tudy used the DDM and introduces frequency of violation measurement to test the fore casting from the model using the data from JAR –Sudan. The study found that violatio n o mesh size regulation can be as high as 87.5%. Violation rate was measured in tw o stages; first, as ordered dependent variable using OPM. Second, measure the e ffects of influencing factors on the probability of belonging to any of the ordered fishers’ categories. In both stages, the results show that deterrent factors found to be more determinant than the normative factors in analyzing compliance with mesh size regulation in JAR. Among these factors, the study found that the influence o f credit market, evasion activity and crew per boat are very significant and increase lev l of violation among typologies, while education level and experience tend to decrea se the level of violation. Thus violation to mesh size regulation is a worrying pro blem in this area. The study therefore, recommends that unless there is high enf orcement, close understanding of violators’ behavior and certain and sever penalty a pplied to violators, non – compliance behavior is expected to increase to the ext nt that the stock may collapse in JAR -Sudan. 1 S. Abusin is a PhD candidate and R. Hassan is a P rofessor at the Center for Environmental Economics and Policy in Africa (CEEPA ).
Analysis of Burst Transmission in IEEE 802.11e Wireless LANs

Transmission opportunity, or TXOP, is a channel control method introduced in the IEEE 802.11e wireless LAN standard for improving channel utilization. In this paper, we propose an analytical model to evaluate the performance of TXOP as a method for achieving efficient burst transmissions in IEEE wireless LANs. We show how the model can be used to estimate the throughput of different access categories as a function of the TXOP limit value, and how to calculate the total throughput achieved under basic-access and RTS/CTS access modes. We also show that improved service differentiation can be achieved by using a novel scheme based on TXOP thresholds. Our model demonstrates how the combined used use of TXOP with other MAC parameters can lead to higher aggregate throughput and improved service differentiation.
Infective Endocarditis in Adults: Diagnosis, Antimicrobial Therapy, and Management of Complications: A Scientific Statement for Healthcare Professionals From the American Heart Association

Background— Infective endocarditis is a potentially lethal disease that has undergone major changes in both host and pathogen. The epidemiology of infective endocarditis has become more complex with today‘s myriad healthcare‐associated factors that predispose to infection. Moreover, changes in pathogen prevalence, in particular a more common staphylococcal origin, have affected outcomes, which have not improved despite medical and surgical advances. Methods and Results— This statement updates the 2005 iteration, both of which were developed by the American Heart Association under the auspices of the Committee on Rheumatic Fever, Endocarditis, and Kawasaki Disease, Council on Cardiovascular Disease of the Young. It includes an evidence‐based system for diagnostic and treatment recommendations used by the American College of Cardiology and the American Heart Association for treatment recommendations. Conclusions— Infective endocarditis is a complex disease, and patients with this disease generally require management by a team of physicians and allied health providers with a variety of areas of expertise. The recommendations provided in this document are intended to assist in the management of this uncommon but potentially deadly infection. The clinical variability and complexity in infective endocarditis, however, dictate that these recommendations be used to support and not supplant decisions in individual patient management.
Mitochondrial DNA variation and the phylogeography of the grey partridge (Perdix perdix) in Europe: from Pleistocene history to present day populations

Abstract For a phylogeographical analysis of European grey partridge (Perdix perdix) we sequenced 390 nucleotides of the 5′ end of the mitochondrial control region (CR) of 227 birds from several localities. The birds were divided into two major clades (western and eastern) which differed in control region 1 (CR1) by 14 nucleotide substitutions (3.6%). For estimation of the time of divergence, the whole CR of 14 specimens was sequenced. The major clades differed by 2.2%, corresponding to an estimated coalescence time of c. 1.1 million years. On CR1, 45 haplotypes were found. Western clade haplotypes were found in France, England, Germany, Poland, Italy and Austria. Eastern clade haplotypes were found in Finland, Bulgaria, Greece, and Ireland. One Finnish population and all Bulgarian and Irish populations were mixed, but only in Bulgaria was the mixing assumed to be natural. Nucleotide and haplotype diversities varied between populations, and both clades showed geographical structuring. The distribution of pairwise nucleotide differences in the eastern clade fitted the expectations of an expanding population. About 80% of the genetic structure in the grey partridge could be explained by the clades. The western clade presumably originates on the Iberian Peninsula (with related subtypes in Italy), and the eastern clade either on the Balkan or Caucasian refugia. Large‐scale hand‐rearing and releasing of western partridges have introduced very few mtDNA marks into the native eastern populations in Finland.
AT1 Receptor Induced Alterations in Histone H2A Reveal Novel Insights into GPCR Control of Chromatin Remodeling

Chronic activation of angiotensin II (AngII) type 1 receptor (AT1R), a prototypical G protein-coupled receptor (GPCR) induces gene regulatory stress which is responsible for phenotypic modulation of target cells. The AT1R-selective drugs reverse the gene regulatory stress in various cardiovascular diseases. However, the molecular mechanisms are not clear. We speculate that activation states of AT1R modify the composition of histone isoforms and post-translational modifications (PTM), thereby alter the structure-function dynamics of chromatin. We combined total histone isolation, FPLC separation, and mass spectrometry techniques to analyze histone H2A in HEK293 cells with and without AT1R activation. We have identified eight isoforms: H2AA, H2AG, H2AM, H2AO, H2AQ, Q96QV6, H2AC and H2AL. The isoforms, H2AA, H2AC and H2AQ were methylated and H2AC was phosphorylated. The relative abundance of specific H2A isoforms and PTMs were further analyzed in relationship to the activation states of AT1R by immunochemical studies. Within 2 hr, the isoforms, H2AA/O exchanged with H2AM. The monomethylated H2AC increased rapidly and the phosphorylated H2AC decreased, thus suggesting that enhanced H2AC methylation is coupled to Ser1p dephosphorylation. We show that H2A125Kme1 promotes interaction with the heterochromatin associated protein, HP1α. These specific changes in H2A are reversed by treatment with the AT1R specific inhibitor losartan. Our analysis provides a first step towards an awareness of histone code regulation by GPCRs.
ANALISIS USABILITY APLIKASI PENGISIAN KRS ONLINE STMIK XYZ PALEMBANG MENGGUNAKAN USE QUESTIONNAIRE

Aplikasi pengisian KRS online di STMIK XYZ Palembang ini baru diterapkan, sehingga perlu dilakukan analisis agar mendapatkan masukan untuk lebih meningkatkan kualitas dari aplikasi. Analisis dalam penelitian ini adalah analisis usability dan melihat hubungan antara variabel bebas yaitu variabel usefulness, ease of use, dan ease of learning terhadap variabel terikat, yaitu satisfaction secara simultan maupun parsial. Pengukuran usability mangadopsi USE questionnaire, menggunakan SPSS dalam mengolah data yang melibatkan 87 responden dari 3 program studi di STMIK XYZ Palembang. Hasil analisis menunjukkan nilai persentase kelayakan sebesar 85,89% artinya hasil pengukuran usability aplikasi KRS secara online memiliki nilai sangat layak. Selain itu juga, dibuktikan dari pengujian hipotesis bahwa ada pengaruh yang signifikan antara variabel usefulness, ease of use, dan ease of learning terhadap satisfaction secara simultan. Secara parsial, variabel usefulness dan ease of use berpengaruh signifikan terhadap satisfaction, sedangkan variabel ease of learning tidak berpengaruh terhadap satisfaction. Faktor dominan yang mempengaruhi kepuasan user dalam menggunakan aplikasi pengisian KRS online adalah ease of use (kemudahan penggunaan) dengan nilai rata-rata 46,4. Hasil penelitian, merekomendasikan perlunya meningkatkan minat user untuk mempelajari dan memberikan koreksi atas kekurangan aplikasi tersebut agar menjadi lebih baik lagi.
A Quick Guide to Statistical Modeling Design Defects, Product Liability and the Protective Properties of Suboptimal Nonparametric and Robust Statistics

Statistical modeling lies at the heart of product design and development throughout numerous 1 engineering disciplines, especially since processing large amounts of data has become increasingly ubiquitous. 2 While mathematical statistics provide elegant guidance pertaining to the question of whether or not some 3 particular underlying modeling assumptions are justified and appropriate, when pursuing a more comprehensive 4 assessment of product design and development other considerations often increase in significance. Therefore, 5 we will examine and analyze the tedious interactions and implications of statistical modeling choices and 6 product liability exposure. To the best of our knowledge, this paper is the first to draw attention to and explore 7 some often overlooked or oversimplified dangers and pitfalls that enter the equation when product design 8 heavily relies on statistical modeling. In particular, through a diligent analysis of both statistical and legal 9 aspects we will explore how statistically optimal procedures may yield far from optimal outcomes in terms 10 of product liability when applied to actual real life problems and why suboptimal nonparametric or robust 11 approaches may constitute better alternatives. 12
Pipeline for illumination correction of images for high-throughput microscopy

The presence of systematic noise in images in high‐throughput microscopy experiments can significantly impact the accuracy of downstream results. Among the most common sources of systematic noise is non‐homogeneous illumination across the image field. This often adds an unacceptable level of noise, obscures true quantitative differences and precludes biological experiments that rely on accurate fluorescence intensity measurements.
Estimating sharer reputation via social data calibration

Online social networks have become important channels for users to share content with their connections and diffuse information. Although much work has been done to identify socially influential users, the problem of finding "reputable" sharers, who share good content, has received relatively little attention. Availability of such reputation scores can be useful or various applications like recommending people to follow, procuring high quality content in a scalable way, creating a content reputation economy to incentivize high quality sharing, and many more. To estimate sharer reputation, it is intuitive to leverage data that records how recipients respond (through clicking, liking, etc.) to content items shared by a sharer. However, such data is usually biased --- it has a selection bias since the shared items can only be seen and responded to by users connected to the sharer in most social networks, and it has a response bias since the response is usually influenced by the relationship between the sharer and the recipient (which may not indicate whether the shared content is good). To correct for such biases, we propose to utilize an additional data source that provides unbiased goodness estimates for a small set of shared items, and calibrate biased social data through a novel multi-level hierarchical model that describes how the unbiased data and biased data are jointly generated according to sharer reputation scores. The unbiased data also provides the ground truth for quantitative evaluation of different methods. Experiments based on such ground-truth data show that our proposed model significantly outperforms existing methods that estimate social influence using biased social data.
CDK11p58 Is Required for Centriole Duplication and Plk4 Recruitment to Mitotic Centrosomes

Background CDK11p58 is a mitotic protein kinase, which has been shown to be required for different mitotic events such as centrosome maturation, chromatid cohesion and cytokinesis. Methodology/Principal Findings In addition to these previously described roles, our study shows that CDK11p58 inhibition induces a failure in the centriole duplication process in different human cell lines. We propose that this effect is mediated by the defective centrosomal recruitment of proteins at the onset of mitosis. Indeed, Plk4 protein kinase and the centrosomal protein Cep192, which are key components of the centriole duplication machinery, showed reduced levels at centrosomes of mitotic CDK11-depleted cells. CDK11p58, which accumulates only in the vicinity of mitotic centrosomes, directly interacts with the centriole-associated protein kinase Plk4 that regulates centriole number in cells. In addition, we show that centriole from CDK11 defective cells are not able to be over duplicated following Plk4 overexpression. Conclusion/Significance We thus propose that CDK11 is required for centriole duplication by two non-mutually-exclusive mechanisms. On one hand, the observed duplication defect could be caused indirectly by a failure of the centrosome to fully maturate during mitosis. On the other hand, CDK11p58 could also directly regulate key centriole components such as Plk4 during mitosis to trigger essential mitotic centriole modifications, required for centriole duplication during subsequent interphase.
A Novel Image Inpainting Technique Based on Bandelet Transform

This study proposes a novel image inpainting technique based on bandelet transform. This technique using multi-resolution layer to carry out image restoration, it mainly utilizes the geometrical flow of the neighboring texture of the damaged region as the basis of restoration. Firstly, According to these geometrical flows of image to carry out the warp transform, it makes the textural variation transforms into the nearest domain axis. Then utilizes the bandelet decomposition method to decompose the non-related texture into different bands, and combines the affine searching method to carry out the image restoration. The proposed method can simplify the complexity of the repairing decision method, and improve the performance of image inpainting under HVS. Especially for image with many geometry edges, the performance of image inpainting is very remarkable using the proposed technique.