Miracle-dz/UniFAR-FTUs huggingface dataset:
When Did that Happen? — Linking Events and Relations to Timestamps

We present work on linking events and ﬂu-ents (i.e., relations that hold for certain periods of time) to temporal information in text, which is an important enabler for many applications such as timelines and reasoning. Previous research has mainly focused on temporal links for events, and we extend that work to include ﬂuents as well, presenting a common methodology for linking both events and relations to timestamps within the same sentence. Our approach combines tree kernels with classical feature-based learning to exploit context and achieves competitive F1-scores on event-time linking, and comparable F1-scores for ﬂuents. Our best systems achieve F1-scores of 0 . 76 on events and 0 . 72 on ﬂu-ents.
An efficient layout method for a large collection of geographic data entries

Many spatial applications require the ability to display locations of geographic data entries on an online map. For example, an online photo-sharing service may wish to display photos (as thumbnails) according to where they were taken. Since displaying geographic data entries as thumbnails or icons on a map requires some amount of space, displayed entries can overlap each other. As a result, we may wish to discard less popular or older entries (based on a given measure of importance) so that these more popular or newer entries become more distinct. A straightforward solution is to apply a spatial database extension such as PostGIS (i) to retrieve entries within a given display window; (ii) to discard entries in proximity of a more important one. In this paper, we demonstrate our method for efficiently selecting distinct entries from a large geographical point set. Specifically, our demonstration software presents a voting system built upon an ensemble of interrelated indexes, which is the main novelty of our query processing method. This allows us to efficiently determine the degree of distinctiveness of all entries within a query window using simple index traversal operations rather than expensive spatial operations. The effectiveness of our method in comparison to a traditional spatial query is shown by our experimental results using a real dataset of over 9 million locations. These experimental results show that our proposed method is capable of consistently producing subsecond response times, while the spatial query-based method takes more than 10 seconds on average in a low spatial selectivity setting.
Bio-sensing Textiles for Real-time Chemical Analysis of Body Fluids

A wearable fluid handling platform based on polyamide lycra has been developed for non-invasive, real-time biochemical analysis of bodily fluids. Main challenges include sample collection and delivery, sensor integration and waste sample handling. The system is able to collect sweat as it is expired through the skin and transports it through a channel defined in the fabric using a hydrophobic membrane. A superabsorbent material is placed at the end of the channel to provide continuous sample delivery and storage. A colorimetric sensor is fabricated directly on the textile channel to determine the changes in sweat pH. This is coupled with a wireless optical sensor integrated into the cover of the fluidic platform to measure colour change. Sodium and conductivity sensors have also been developed. This textile based sensing system has applications in personal health and for the analysis of sports performance and training.
Maternal control of seed development.

Maternal control of higher plant seed development is likely to involve female sporophytic as well as female gametophytic genes. While numerous female sporophytic mutants control the production of the ovule and the embryo sac true maternal effect mutations affecting embryo and endosperm development are rare in plants. A new class of female gametophytic mutants has been isolated that controls autonomous development of endosperm. Molecular analyses of these genes, known as FIS class genes, suggest that they repress downstream seed development genes by chromatin remodelling. Expression of the FIS genes in turn is modulated by parent specific expression or genomic imprinting which in turn is controlled by DNA methylation. Thus maternal control of seed development is a complex developmental event influenced by both genetic and epigenetic processes.
Five-vertex Archimedean surface tessellation by lanthanide-directed molecular self-assembly

The tessellation of the Euclidean plane by regular polygons has been contemplated since ancient times and presents intriguing aspects embracing mathematics, art, and crystallography. Significant efforts were devoted to engineer specific 2D interfacial tessellations at the molecular level, but periodic patterns with distinct five-vertex motifs remained elusive. Here, we report a direct scanning tunneling microscopy investigation on the cerium-directed assembly of linear polyphenyl molecular linkers with terminal carbonitrile groups on a smooth Ag(111) noble-metal surface. We demonstrate the spontaneous formation of fivefold Ce–ligand coordination motifs, which are planar and flexible, such that vertices connecting simultaneously trigonal and square polygons can be expressed. By tuning the concentration and the stoichiometric ratio of rare-earth metal centers to ligands, a hierarchic assembly with dodecameric units and a surface-confined metal–organic coordination network yielding the semiregular Archimedean snub square tiling could be fabricated.
The mirage rapid interface prototyping system

Designing good user interfaces is a difficult, ill-defined task. A number of interface-design approaches have been tried in recent years, ranging from the application of interface standards and quidelines to the use of simplified information-processing theories borrowed from cognitive psychology. To the dismay of those who advocate interface standards, consistency is not the same thing as usability and current information-processing theories are already too simple to explain much of human behavior or be of any practical use to interface designers. Although we do believe that the practice of interface design will eventually come to rely on empirically-based theories of user behavior, the ‘cut and try’ methodology supported by MlRAGE is the most effective approach available, particularly given the current product development process. Although it is true that efforts are under way to fundamentally change the development process in order to place greater emphasis on user considerations, such organizational changes take time and will demaud major advances in the field of human-computer interaction, In lieu of acceptable alternatives, user testing remains an essential aspect of interface design. Rapid Interface Prototyping (RIP) is a methodology that facilitates user testing and exploits the skills of interface designers while, at the same time, accommodating the requirements of the system development process as it exists today.
Middleware extensions that trade consistency for availability

Replicated distributed object systems are deployed to provide timely and reliable services to actors at distributed locations. This paper treats applications in which data updates are dependent on satisfaction of integrity constraints over multiple objects. Network partitions, caused by occasional link failures, overload or attacks create problems in keeping both consistency and availability in such networks. We propose a means of achieving higher availability by providing partition‐awareness in middleware. The general approach has been illustrated by implementing a number of CORBA extensions that trade consistency for availability during network partitions. This paper contains a thorough experimental evaluation that presents the gains and costs of our approach. The experiments clearly illustrate the benefit of our protocols in terms of significantly higher availability and the number of performed operations. Copyright © 2009 John Wiley & Sons, Ltd.
Constructing a multicriteria hierarchical evaluation model using an aggregation-disaggregation approach

This paper presents a new approach to support evaluating a set of objects on a hierarchy of qualitative criteria. Evaluating an object on a node with respect to its evaluations on the sub-nodes is formulated as a multicriteria classification problem where the levels of the node's scale correspond to the ordered classes. Different multicriteria classification methods can be used. Selection of the adequate method(s) depends on many criteria or attributes involving context factors, characteristics of the methods and performances of the models.
Preemptive and Non-Preemptive Real-Time UniProcessor Scheduling

Scheduling theory, as it applies to hard-real-time environment, has been widely studied in the last twenty years and it might be unclear to make it out within the plethora of results available. Our goal is first to collect in a single paper the results known for uniproces sor, non-idling, preemptive/non-preemptive, fixed/dynamic priority driven contexts, consid ering general task sets as a central figure for the description of possible processor loads. Second to establish new results when needed. In particular, optimality, feasibility conditions and worst-case response times are examined largely by utilizing the concepts of workload, processor demand and busy period. Some classic extensions such as jitter, resource sharing are also considered. Although this work is not oriented toward a formal comparison of these results, it appears that preemptive and non-preemptive scheduling are closely related and that the analysis of fixed versus dynamic scheduling might be unified according to the concept of higher priority busy period. In particular, we introduce the notion of deadline-d busy period for EDF sched ules, that we conjecture to be an interesting parallel of the level-i busy period, a concept already used in the analysis of fixed priority driven scheduling.
Fuzzy Switching Controller for the Security in 802.11 Networks

It is the fact that providing secure communication for wireless networks has become one of the prime concerns. Quantum cryptography, namely Quantum Key Distribution (QKD), offers the promise of unconditional security. However, traditional QKD can work well is because of the full optical system will meet the requirement of photon communication, which becomes serious problem in wireless communication system, as in free space photon transmission is the difficulty in providing Line-of-Sight (LOS) between the transmitter and the receiver for long distances. In the current paper, we are going to focus on two dimensional (2D) fuzzy dynamic controllers for switching between the transmitter and the receiver for reasonable long distances. The research results show fuzzy dynamic switching has potential capability to carry on this project and the future papers will follow for 3D cases.
Determinants and clinical significance of natriuretic peptides and hypertrophic cardiomyopathy.

AIMS Atrial and brain natriuretic peptide levels closely reflect impaired left ventricular function in patients with heart failure. In the present study we assessed the determinants and the clinical significance of atrial and brain natriuretic peptide plasma levels in hypertrophic cardiomyopathy. METHODS AND RESULTS In 44 patients with hypertrophic cardiomyopathy (40+/-15 years) we evaluated: (a) atrial and brain natriuretic peptide plasma levels; (b) left ventricular hypertrophy; (c) left ventricular ejection fraction; (d) transmitral and pulmonary venous flow velocity patterns, and left atrial fractional shortening; (e) left ventricular outflow tract gradient; (f) maximal oxygen consumption. Left ventricular hypertrophy influenced only brain natriuretic peptide levels (r=0.32;P<0.05). Atrial and brain natriuretic peptide plasma levels did not correlate with left ventricular ejection fraction, but correlated with left ventricular outflow tract gradient (r=0.35;P<0.05; and r=0.40, P=0.022, respectively) and left atrial fractional shortening (r=-0.57;P<0.001, and r=-0.35;P<0.05, respectively). Atrial but not brain natriuretic peptide plasma levels were inversely related to maximal oxygen consumption (r=-0.35;P<0.05). By stepwise multiple regression analysis, left atrial fractional shortening and left ventricular outflow tract gradient were the only predictors of atrial and brain natriuretic peptide plasma levels, respectively. CONCLUSIONS In hypertrophic cardiomyopathy, atrial natriuretic peptide plasma levels are mainly determined by diastolic function: this explains the relationship with exercise tolerance. In contrast, brain natriuretic peptide plasma levels are mainly determined by left ventricular outflow tract gradient.
Support Vector Machine with Particle Swarm Optimization for Reservoir Annual Inflow Forecasting

Reservoir inflow forecasting plays an essential role in reservoir management to ensure efficient water supply and more high accuracy inflow forecasting can lead to more effective use of water resources. In this study, support vector machine (SVM) with particle swarm optimization (PSO) for reservoir annual inflow forecasting is presented, among which PSO is used to find out the best parameter value of SVM model. According to study data, the optimum SVM model is obtained and its performance is compared with Artificial Neural Networks (ANNs). It can be concluded that the performance of SVM model outperforms those of ANN, for the data set available, which indicates that the SVM model has better forecasting performance.
Determinants for changing the treatment of COPD: a regression analysis from a clinical audit

Introduction This study is an analysis of a pilot COPD clinical audit that evaluated adherence to guidelines for patients with COPD in a stable disease phase during a routine visit in specialized secondary care outpatient clinics in order to identify the variables associated with the decision to step-up or step-down pharmacological treatment. Methods This study was a pilot clinical audit performed at hospital outpatient respiratory clinics in the region of Andalusia, Spain (eight provinces with over eight million inhabitants), in which 20% of centers in the area (catchment population 3,143,086 inhabitants) were invited to participate. Treatment changes were evaluated in terms of the number of prescribed medications and were classified as step-up, step-down, or no change. Three backward stepwise binominal multivariate logistic regression analyses were conducted to evaluate variables associated with stepping up, stepping down, and inhaled corticosteroids discontinuation. Results The present analysis evaluated 565 clinical records (91%) of the complete audit. Of those records, 366 (64.8%) cases saw no change in pharmacological treatment, while 99 patients (17.5%) had an increase in the number of drugs, 55 (9.7%) had a decrease in the number of drugs, and 45 (8.0%) noted a change to other medication for a similar therapeutic scheme. Exacerbations were the main factor in stepping up treatment, as were the symptoms themselves. In contrast, rather than symptoms, doctors used forced expiratory volume in 1 second and previous treatment with long-term antibiotics or inhaled corticosteroids as the key determinants to stepping down treatment. Conclusion The majority of doctors did not change the prescription. When changes were made, a number of related factors were noted. Future trials must evaluate whether these therapeutic changes impact clinically relevant outcomes at follow-up.
Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography

This work proposes a dedicated statistical algorithm to perform a direct reconstruction of material-decomposed images from data acquired with photon-counting detectors (PCDs) in computed tomography. It is based on local approximations (surrogates) of the negative logarithmic Poisson probability function. Exploiting the convexity of this function allows for parallel updates of all image pixels. Parallel updates can compensate for the rather slow convergence that is intrinsic to statistical algorithms. We investigate the accuracy of the algorithm for ideal photon-counting detectors. Complementarily, we apply the algorithm to simulation data of a realistic PCD with its spectral resolution limited by K-escape, charge sharing, and pulse-pileup. For data from both an ideal and realistic PCD, the proposed algorithm is able to correct beam-hardening artifacts and quantitatively determine the material fractions of the chosen basis materials. Via regularization we were able to achieve a reduction of image noise for the realistic PCD that is up to 90% lower compared to material images form a linear, image-based material decomposition using FBP images. Additionally, we find a dependence of the algorithms convergence speed on the threshold selection within the PCD.
The effect of microphone directivity patterns on spatial cues for reverberant multichannel meeting speech analysis

Multiparty meetings common to many business environments often have participants who are generally stationary. Hence, active speakers can be disambiguated by location, and meeting analysis research groups have proposed the use of speaker location information (spatial cues) for meeting segmentation and higher level analysis. As the cues are estimated from multi-microphone recordings, this paper studies the effect of varying microphone directivity patterns on the spatial cue accuracy and reliability. Results from theoretical simulations and recordings from a real reverberant environment suggest that different spatial cues (based on inter-microphone signal time delays or amplitude level differences) optimally respond to different microphone directivity patterns, where time delay accuracy was found to be independent of the relative microphone configuration.
Postprandial Triglyceride Is Associated with Fasting Triglyceride and HOMA-IR in Korean Subjects with Type 2 Diabetes

BACKGROUND Recent studies indicate postprandial triglyceride (TG) had a better association with cardiovascular events and metabolic syndrome than fasting TG. The authors of the present study investigated the metabolic and clinical relevance of postprandial TG. METHODS In a cross-sectional retrospective study, the authors of the present study compared fasting and postprandial TG and analyzed the relationship between postprandial TG and various demographic and metabolic parameters in 639 Korean subjects with type 2 diabetes (T2D, group I, n=539) and impaired fasting glucose (IFG, group II, n=100) after ingestion of a standardized liquid meal (total 500 kcal, 17.5 g fat, 68.5 g carbohydrate, and 17.5 g protein). RESULTS Fasting and postprandial TG were significantly correlated (r=0.973, r=0.937, P<0.001) in group I and II, respectively. Of the variables, total cholesterol, waist circumference and body mass index were significantly correlated with fasting and postprandial TG in both groups. Only postprandial TG showed a significant correlation with glucose metabolic parameters (e.g., postprandial glucose, homeostatic model assessment of insulin resistance [HOMA-IR], and fasting C-peptide) in subjects with T2D. Multiple regression analysis showed fasting TG and HOMA-IR could be predictable variables for postprandial TG in subjects with T2D. CONCLUSION Postprandial TG was very strongly correlated with fasting TG. The authors of the present study suggest insulin resistance may be more associated with postprandial TG than fasting TG in Korean T2D patients on a low-fat diet.
Nearest labelset using double distances for multi-label classification

Multi-label classification is a type of supervised learning where an instance may belong to multiple labels simultaneously. Predicting each label independently has been criticized for not exploiting any correlation between labels. In this article we propose a novel approach, Nearest Labelset using Double Distances (NLDD), that predicts the labelset observed in the training data that minimizes a weighted sum of the distances in both the feature space and the label space to the new instance. The weights specify the relative tradeoff between the two distances. The weights are estimated from a binomial regression of the number of misclassified labels as a function of the two distances. Model parameters are estimated by maximum likelihood. NLDD only considers labelsets observed in the training data, thus implicitly taking into account label dependencies. Experiments on benchmark multi-label data sets show that the proposed method on average outperforms other well-known approaches in terms of 0/1 loss, and multi-label accuracy and ranks second on the F-measure (after a method called ECC) and on Hamming loss (after a method called RF-PCT).
EMOTIONAL FREEDOM TECHNIQUE

Andi Thahir 1) Sulastri 2) Almurhan 2) 1) Jurusan Bimbingan Konseling IAIN Bandar Lampung 2) Jurusan Keperawatan Poltekkes Kemenkes Tanjungkarang Abstrak : Emotional Freedom Technique. Along with the advancement of technology, many people are busy with their activities. They seemed to compete with rush hour is done to make them feel tired both physically and mmental. However, activities that must be done to make them powerless to do just about relaxation / rest or other activities that keep them away from the done. This condition is very likely to cause stress on them. Basically physical problems related to stress. Another situation may be they are aware of their health, but busyness / ignorance / lack of empowerment sometimes make them neglect their health. It is possible busyness experienced, so that the corresponding natural underestimate their complaints. Of course these conditions endanger yourself. Other conditions due to the difficult access to health services or the high cost of health care. Under these circumstances begin to shift from a medical perspective to the traditional base, which is better known as alternative or non-pharmacological treatment. One is the Emotional Freedom Teknique (EFT). Eft is an emotional healing technique that can also heal physical symptoms. The results were surprising EFT eliminates the symptoms that arise routinely 50% -90%. Keywords: Emotional freedom technique Abstrak : Teknik Penyembuhan Emodional. Seiring dengan kemajuan teknologi saat ini, banyak individu yang disibukkan oleh aktivitasnya. Mereka seolah berlomba dengan waktu kesibukan yang dilakukan membuat mereka merasa lelah baik fisik maupun mmental. Namun aktifitas yang harus dilakukan membuat mereka tidak berdaya untuk sekedar melakukan elaksasi/ istirahat atau kegiatan lain yang menjauhkan mereka dari apa yang dilakukan. Kondisi ini sangat mmungkin menimbulkan stress pada mereka. Pada dasarnya masalah fisik berkaitann dengan stress. Situasi lain boleh jadi mereka menyadari akan kesehatan mereka, namun kesibukan/ketidaktahuan/ketidak berdayaan terkadang membuat seseorang/individu tersebut seolah terkesan mengabaikan kesehatannya. Hal ini dimungkinkan kesibukan yang dialami, sehingga yang bersangkutan meremehkan keluhan yang dialami. Tentu saja kondisi seperti ini membahayakan diri sendiri. Kondisi lain dikarenakan sulit mengakses pelayanan kesehatan atau biaya yang mahal untuk perawatan kesehatan. Berdasarkan keadaan ini perspektif mulai bergeser dari medis base ke traditional base , yang lebih dikenal dengan pengobatan alternatif atau non farmakologis. Salah satunya adalah EFT. EFT merupakan teknik penyembuhan emosional yang juga dapat menyembuhkan gejala fisik. Hasil yang mengejutkan EFT menghilangkan gejala-gejala penyakit yang timbul secara rutin 50%-90%. Kata kunci: Emotional freedom tecnique