Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesoscale Theory of Grains and Cells: Polycrystals & Plasticity

Solids with spatial variations in the crystalline axes naturally evolve into cells or grains separated by sharp walls. Such variations are mathematically described using the Nye dislocation density tensor. At high temperatures, polycrystalline grains form from the melt and coarsen with time; the dislocations can both climb and glide. At low temperatures under shear the dislocations (which allow only glide) form into cell structures. While both the microscopic laws of dislocation motion and the macroscopic laws of coarsening and plastic deformation are well studied, we hitherto have had no simple, continuum explanation for the evolution of dislocations into sharp walls. We present here a mesoscale theory of disloca-tion motion. It provides a quantitative description of deformation and rotation, grounded in a microscopic order parameter field exhibiting the topologically conserved quantities. The current of the Nye dislocation density tensor is derived from downhill motion driven by the microscopic Peach–Koehler forces between dislocations, making use of a simple closure approximation. The resulting theory is shown to form sharp dislocation walls in finite time mathematically described by Burgers equation—similar to those seen in the theory of sonic booms and traffic jams. Our finite-difference methods use special upwind and Fourier techniques for dealing with the shock formation. The outcomes of our simulations in one and two dimensions are in good agreement with experiment and other discrete dislocation simulations. These results provide fundamental insights into the basic phenomena of plastic deformation in crystals, and offers predictions for residual stress, cell-structure refinement, and the distinguish features of different hardening stages in plastic deformation. Surachate Limkumnerd was born during the 1978 Songkran (water throwing) festival in Chiangmai, Thailand. Due to Thai unusually long names, he received his nickname Yor by putting together the first initials of his parents' names. Yor spent his infancy moving from one province to the next following his parents. He began his kindergarten education at the age of three in a local school in suburban Chiangmai, at which point his parents welcomed their second boy. The fear that their first child would make no friends should they continue to move had prompted them to settle down in Lampang where Yor spent substantial parts of the next decade between a swimming pool and piano lessons. All these times his interest in science grew. He was once caned for trying to draw (to scale! ) the solar system on the living room wall. 1 His passion …
Acute Pelvic Inflammatory Disease

Pregnant women of reproductive age continue to be a major public health concern. It is linked to serious long-term consequences such as tubal factor infertility, pregnancy, and persistent pelvic discomfort. Furthermore, the treatment of acute PID and its consequences incurs significant healthcare expenses. Preventing these long-term consequences requires doctors to have a high index of suspicion in order to make an early diagnosis and devise treatment methods based on the understanding of the microbiologic etiology of acute PID. A polymicrobial infection is widely regarded as the cause of acute PID. In many cases, sexually transmitted organisms such as Neisseria gonorrhoeae and Chlamydia trachomatis are present, while microbes from the endogenous vaginal and cervical flora are usually associated with PID. This comprises anaerobic and facultative bacteria, which are related to bacterial vaginosis. Mycoplasmas of the vaginal tract, most notably Mycoplasma genitalium , have lately been linked to acute PID. As a result, treatment regimens for acute PID should include wide spectrum coverage that is effective against these pathogens.
Evolutionary-Based Wireless Sensor Deployment for Target Coverage

The sensor deployment problem consists in finding an optimal (or near-optimal) way of placing sensors in a given area in order to cover the whole space. However, sometimes it is not necessary to monitor the complete area, one may want to focus on some points considered as target. This leads to the target coverage problem. This problem includes two main processes: (1)placing sensors around the targets, (2) scheduling the activation time redundant sensors in order to lengthen the network lifetime. This paper proposes a multi-objective approach based on genetic algorithms that aims to simultaneously find good positions of sensor nodes and the maximum number of disjoint cover sets. A new chromosome (solution) encoding in which the genes contain both, the position and the identifier of sensor owning group is introduced. The efficiency of the proposed approach is assessed by a comparison with existing methods.
Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey

Patient accrual is essential for the success of oncology clinical trials. Recruitment for trials involving the development of quantitative imaging biomarkers may face different challenges than treatment trials. This study surveyed investigators and study personnel for evaluating accrual performance and perceived barriers to accrual and for soliciting solutions to these accrual challenges that are specific to quantitative imaging-based trials. Responses for 25 prospective studies were received from 12 sites. The median percent annual accrual attained was 94.5% (range, 3%–350%). The most commonly selected barrier to recruitment (n = 11/25, 44%) was that “patients decline participation,” followed by “too few eligible patients” (n = 10/25, 40%). In a forced choice for the single greatest recruitment challenge, “too few eligible patients” was the most common response (n = 8/25, 32%). Quantitative analysis and qualitative responses suggested that interactions among institutional, physician, and patient factors contributed to accrual success and challenges. Multidisciplinary collaboration in trial design and execution is essential to accrual success, with attention paid to ensuring and communicating potential trial benefits to enrolled and future patients.
Serum IL-10 Predicts Worse Outcome in Cancer Patients: A Meta-Analysis

Background IL–10 is an important immunosuppressive cytokine which is frequently elevated in tumor microenvironment. Some studies have reported that overexpression of serous IL–10 is correlated with worse outcome in patients with malignant tumor. Here, we conducted a meta-analysis to assess the prognostic impact of serous IL–10 expression in cancer patients. Methods We searched PubMed and EBSCO for studies in evaluating the association of IL–10 expression—in serum and clinical outcome in cancer patients. Overall survival (OS) was the primary prognostic indicator and disease-free survival (DFS) was the secondary indicator. Extracted data were computed into odds ratios (ORs) and 95% confidence interval (CI) or a P value for survival at 1, 3 and 5 years. Pooled data were weighted using the Mantel–Haenszel Fixed-effect model. All statistical tests were two-sided. Results A total of 1788 patients with cancer from 21 published studies were incorporated into this meta-analysis. High level of serum IL–10 was significantly associated with worse OS at 1-year (OR = 3.70, 95% CI = 2.81 to 4.87, P < 0.00001), 3-year (OR = 3.33, 95% CI = 2.53 to 4.39, P < 0.0001) and 5-year (OR = 2.80, 95% CI = 1.90 to 4.10, P < 0.0001) of cancer. Subgroup analysis showed that the correlation between serous IL–10 expression and outcome of patients with solid tumors and hematological malignancies are consistent. The association of IL–10 with worse DFS at 1-year (OR = 3.34, 95% CI = 1.40 to 7.94, P = 0.006) and 2-year (OR = 3.91, 95% CI = 1.79 to 8.53, P = 0.0006) was also identified. Conclusions High expression of serous IL–10 leads to an adverse survival in most types of cancer. IL–10 is a valuable biomarker for prognostic prediction and targeting IL–10 treatment options for both solid tumors and hematological malignancies.
Stretching multi-ring Paxos

Internet-scale services rely on data partitioning and replication to provide scalable performance and high availability. Moreover, to reduce user-perceived response times and tolerate disasters (i.e., the failure of a whole datacenter), services are increasingly becoming geographically distributed. Data partitioning and replication, combined with local and geographical distribution, introduce daunting challenges, including the need to carefully order requests among replicas and partitions. One way to tackle this problem is to use group communication primitives that encapsulate order requirements. This paper presents a detailed performance evaluation of Multi-Ring Paxos, a scalable group communication primitive. We focus our analysis on "extreme conditions" with deployments including high-end 10 Gbps networks, a large number of combined rings (i.e., independent Paxos instances), a large number of replicas in a ring, and a global deployment. We also report on the performance of recovery under peak load and present two novel extensions to boost Multi-Ring Paxos's performance.
Attachment Styles of Children Raised in Nursery vs. Those Who are Raised in the Family in Iran

In studies on psychological health and children’s personality development and in researches on emotio nal distresses, children’s behavioral disorders associated with mot her deprivation, are known as the major cause of mental disorders. T herefore, for identification of children’s attachment styles in n ursery’s children are of significant importance. For this purpose, to com pare the attachment styles between children of nursery with those provided care by their families, the Separation Anxiety Test (SAT) of Slough and et al was administered on 72 children (36 in nu rsery and 36 family-cared). The results indicated, almost half o f children in both groups have insecure attachment styles. Tendency ra tio of both groups of children towards Secure and Ambivalent In secure styles are almost the same. However the avoidant style of attachment in children of nursery is more than those provided car e by their families. The children under family care compared to the chil dren of nursery, in the situations of separation from their mothers in the first day of school and sleeping in their room, have shown more self reliance. Keywords—Attachment style; Separation Anxiety Test (SAT); Children; Nursery; Emotional and Behavioral Disorde rs.
Improving Matching Process in Social Network

Online dating networks, a type of social network, are gaining popularity. With many people joining and being available in the network, users are overwhelmed with choices when choosing their ideal partners. This problem can be overcome by utilizing recommendation methods. However, traditional recommendation methods are ineffective and inefficient for online dating networks where the dataset is sparse and/or large and two-way matching is required. We propose a methodology by using clustering, SimRank to recommend matching candidates to users in an online dating network. Data from a live online dating network is used in evaluation. The success rate of recommendation obtained using the proposed method is compared with baseline success rate of the network and the performance is improved by double.
Performance-Driven Analog Layout Automation: Current Status and Future Directions (Invited Paper)

Optimizing circuit performance presents a pivotal challenge in the realm of automatic analog physical design. The intricacy of analog performance arises from its sensitivity to layout implementation, frequently lacking a viable approach for direct optimization. This talk initiates with a comprehensive overview of the present challenges and the techniques currently in use. The emphasis will be laid on the recent advancements in employing black-box optimization for enhancing analog performance. Subsequently, we will delve into a detailed case study and analysis of post-layout performance distribution for a typical analog circuit. This study will showcase various layout implementations generated by the open-source analog layout generator, MAGICAL. Future directions will be discussed based on the case study.
ALLERGY Net: Effectiveness of omalizumab in monozygotic twin sisters with severe allergic asthma

3 mm above the negative control) to kiwi, pear, banana, watermelon, cherry, passion fruit, walnut, pistachio and latex (wheal diameters of 4, 5, 5, 6, 5, 5, 4, 3 and 12 mm, respectively; positive control 8 mm and negative control 0 mm). The skin prick–prick tests to several raw foods and latex revealed positive to latex, chestnut, walnut, pistachio nut, blackberry, tomato, zucchini and turnip (wheal diameter of 12, 13, 5, 4, 4, 5, 7 and 5 mm; positive control 6 mm and negative control 0 mm). The total serum IgE level was 34 IU/l and the serum-specific IgE to latex 3.2 KU/l (ImmunoCAP, Phadia, Uppsala, Sweden). As the sensitization to turnip and zucchini were not previously described in the latex–vegetable–fruit syndrome, we decided to proceed with further investigation. The specific serum IgE to turnip and zucchini revealed 0.64 and <0.35KU/l, respectively. Previous incubation of serum with turnip and latex nondiluted extracts resulted in an inhibition of 99.3% and 93%, respectively, of turnip ImmunoCAPs reaction. Latex ImmunoCAP reaction was inhibited with both zucchini and turnip extract, respectively (Fig. 1A). Specific IgE levels to rHev b1 (Rk215), rHev b5 (Rk218) and rHev b6.01 (Rk219) were 0, 0.31 and 2.9 KU/l, respectively. Inhibition study of rHev b6.01 with nondiluted extracts of turnip and zucchini revealed an inhibition of 63% and 52.3%, respectively (Fig. 1B). Despite cross-reactivity between zucchini and latex had been previously described (3) with this study, we could prove for the first time cross-reactivity between turnip and latex and identify Hev b6.01, the chitin-binding protein, as the protein responsible in this latex–fruit syndrome. Turnip and zucchini should be added to the long list of plant-derived foods crossreactive to latex and sensitization to these vegetables must be assessed in patients with latex anaphylaxis.
On the use of carrier phase jumps to reduce some PWM switching effects

This paper is based on a method recently developed by the authors to characterize analytically, without switching angle determination, the voltage harmonic three-phase systems generated by the switching of PWM inverters. On this basis, it is possible to define control strategies that modify the spectral content of the output signals. The presented developments are focused on the carrier phase jump which aims to act on two harmonics simultaneously by controlling the effects on the other spectral components.
Object-based crop classification using multi-temporal SPOT-5 imagery and textural features with a Random Forest classifier

Abstract In this study, an object-based image analysis (OBIA) approach was developed to classify field crops using multi-temporal SPOT-5 images with a random forest (RF) classifier. A wide range of features, including the spectral reflectance, vegetation indices (VIs), textural features based on the grey-level co-occurrence matrix (GLCM) and textural features based on geostatistical semivariogram (GST) were extracted for classification, and their performance was evaluated with the RF variable importance measures. Results showed that the best segmentation quality was achieved using the SPOT image acquired in September, with a scale parameter of 40. The spectral reflectance and the GST had a stronger contribution to crop classification than the VIs and GLCM textures. A subset of 60 features was selected using the RF-based feature selection (FS) method, and in this subset, the near-infrared reflectance and the image acquired in August (jointing and heading stages) were found to be the best for crop classification.
Sensing circuit optimization using different type of transistors for deep submicron STT-RAM

In this paper, we propose an optimal combination of transistor types in the conventional sensing circuit. A sensing margin, which determines the read yield of STT-RAM, is sensitive to the Vth type of several transistors in the sensing circuit. Thus, the optimization of the sensing circuit using different types of transistors is important for designing the sensing circuit in STT-RAM. Using industry compatible 45-nm model parameters, Monte Carlo HSPICE simulation results show that the conventional sensing circuit optimized using different types of transistors achieves read access pass yield enhancement of 10% when compared to the conventional sensing circuit using typical transistors.
A Study of Educational Curriculum Data Utilization Paths Based on the DIKWP Model

Fully exploring and releasing the value of education course data to promote course information push, course knowledge integration and enterprise development has become the subject of enterprise education course data open sharing. Based on a brief introduction of the concepts and hierarchical evolution system of data, information, knowledge, and wisdom, we explore the path of open data utilization of education course. the DIKWP system provides a new path guidance for the utilization of education course data, firstly, from the sharing to the symbiosis of education courses under the DIKWP model, secondly, to build a unified open platform for enterprise education course data, to promote the open sharing and access to course data; thirdly, through the education business data and the user data, we can make use of the data of education courses. utilization; three, it is to provide personalized and accurate government information push service through education business data and user data analysis; four, it is to adopt the idea of Linked Data for education data integration to promote the integration of enterprise education knowledge; and four, it is to comprehensively excavate data resources to promote the development of enterprises. The innovative introduction of the DIKWP hierarchical evolution system explores the utilization path of educational course open data and provides theoretical guidance for value-added utilization of educational course open data.
AJIRA: A Lightweight Distributed Middleware for MapReduce and Stream Processing

Currently, MapReduce is the most popular programming model for large-scale data processing and this motivated the research community to improve its efficiency either with new extensions, algorithmic optimizations, or hardware. In this paper we address two main limitations of MapReduce: one relates to the model's limited expressiveness, which prevents the implementation of complex programs that require multiple steps or iterations. The other relates to the efficiency of its most popular implementations (e.g., Hadoop), which provide good resource utilization only for massive volumes of input, operating sub optimally for smaller or rapidly changing input. To address these limitations, we present AJIRA, a new middleware designed for efficient and generic data processing. At a conceptual level, AJIRA replaces the traditional map/reduce primitives by generic operators that can be dynamically allocated, allowing the execution of more complex batch and stream processing jobs. At a more technical level, AJIRA adopts a distributed, multi-threaded architecture that strives at minimizing overhead for non-critical functionality. These characteristics allow AJIRA to be used as a single programming model for both batch and stream processing. To this end, we evaluated its performance against Hadoop, Spark, Esper, and Storm, which are state of the art systems for both batch and stream processing. Our evaluation shows that AJIRA is competitive in a wide range of scenarios both in terms of processing time and scalability, making it an ideal choice where flexibility, extensibility, and the processing of both large and dynamic data with a single programming model are either desirable or even mandatory requirements.
Detection of Myocardial Damage in Patients With Sarcoidosis

Background— In patients with sarcoidosis, sudden death is a leading cause of mortality, which may represent unrecognized cardiac involvement. Delayed-enhancement cardiovascular magnetic resonance (DE-CMR) can detect minute amounts of myocardial damage. We sought to compare DE-CMR with standard clinical evaluation for the identification of cardiac involvement. Methods and Results— Eighty-one consecutive patients with biopsy-proven extracardiac sarcoidosis were prospectively recruited for a parallel and masked comparison of cardiac involvement between (1) DE-CMR and (2) standard clinical evaluation with the use of consensus criteria (modified Japanese Ministry of Health [JMH] guidelines). Standard evaluation included 12-lead ECG and at least 1 dedicated non-CMR cardiac study (echocardiography, radionuclide scintigraphy, or cardiac catheterization). Patients were followed for 21±8 months for major adverse events (death, defibrillator shock, or pacemaker requirement). Patients were predominantly middle-aged (46±11 years), female (62%), and black (73%) and had chronic sarcoidosis (median, 7 years) and preserved left ventricular ejection fraction (median, 56%). DE-CMR identified cardiac involvement in 21 patients (26%) and JMH criteria in 10 (12%, 8 overlapping), a >2-fold higher rate for DE-CMR (P=0.005). All patients with myocardial damage on DE-CMR had coronary disease excluded by x-ray angiography. Pathology evaluation in 15 patients (19%) identified 4 with cardiac sarcoidosis; all 4 were positive by DE-CMR, whereas 2 were JMH positive. On follow-up, 8 had adverse events, including 5 cardiac deaths. Patients with myocardial damage on DE-CMR had a 9-fold higher rate of adverse events and an 11.5-fold higher rate of cardiac death than patients without damage. Conclusions— In patients with sarcoidosis, DE-CMR is more than twice as sensitive for cardiac involvement as current consensus criteria. Myocardial damage detected by DE-CMR appears to be associated with future adverse events including cardiac death, but events were few, and this needs confirmation in a larger cohort.
Cross-country Evidence on the Quality of Fiscal Forecasts *

This paper uses mean and dispersion forecasts from Consensus Economics and finds (in general) evidence for biasedness, inefficiency and lack of accuracy of budget balance forecasts for a sample of 29 countries between 1993-2009, grouped into developed and emerging and developing countries. The distribution of projection errors appears to be slightly twisted to over-prediction of budget balance. Moreover, errors in forecasting the budget balance can be explained by wrong forecasts of GDP growth and inflation forecast errors. The extent of budget balance overprediction and the dispersion of forecasts increases during recessions. "Group think" may be another reason that may explain inefficiency of budget balance forecasts and yet another reason results from failure in accounting international linkages. Finally, there is a sense of "pessimism" amongst forecasters during recovery periods.
Orchestral Accompaniment for a Reproducing Piano

A system that generates flexible orchestral accompaniment of a computer-enabled piano is presented and demonstrated. We introduce a probabilistic model for the piano data that can be used for on-line and off-line estimation of the piano performance. The model is automatically trainable to the specific performer and piece under consideration. The on-line position estimates form the observable data for a trainable prediction engine that anticipates the future evolution of the performance. These ongoing predictions drive a phase-vocoded audio performance of the orchestra. We present results on a highly challenging gem from the Romantic piano concerto repertoire.