Miracle-dz/UniFAR-FTUs huggingface dataset:
Increased Occurrence of Record‐Wet and Record‐Dry Months Reflect Changes in Mean Rainfall

Climate change alters the hydrological cycle, which is expected to increase the risk of heavy rainfall events and prolonged droughts. Sparse rainfall data, however, have made it difficult to answer the question of whether robust changes can already be seen in the short observational time period. Here we use a comprehensive statistical tool to quantify changes in record‐breaking wet and dry months. The global‐mean number of record‐wet months has significantly increased over the recent decades and is now nearly 20% higher than would be expected in a stationary climate with no long‐term trends. This signal primarily comes from pronounced changes in the northern middle to high latitudes where the occurrence of record‐wet months has increased by up to 37% regionally. The tropics have seen opposing trends: More record‐wet months in Southeast Asia in contrast to more record‐dry months in Africa. These changes are broadly consistent with observed trends in mean rainfall.
A Shell/3D Modeling Technique for Delaminations in Composite Laminates

A shell/3D modeling technique was developed for which a local solid finite element model is used only in the immediate vicinity of the delamination front. The goal was to combine the accuracy of the full three-dimensional solution with the computational efficiency of a plate or shell finite element model. Multi-point constraints provide a kinematically compatible interface between the local 3D model and the global structural model which has been meshed with plate or shell finite elements. For simple double cantilever beam (DCB), end notched flexure (ENF), and single leg bending (SLB) specimens, mixed mode energy release rate distributions were computed across the width from nonlinear finite element analyses using the virtual crack closure technique. The analyses served to test the accuracy of the shell/3D technique for the pure mode I case (DCB), mode II case (ENF) and a mixed mode I/II case (SLB). Specimens with a unidirectional layup where the delamination is located between two 0 degrees plies, as well as a multidirectional layup where the delamination is located between two non-zero degree plies, were simulated. For a local 3D model extending to a minimum of about three specimen thicknesses in front of and behind the delamination front, the results were in good agreement with mixed mode strain energy release rates obtained from computations where the entire specimen had been modeled with solid elements. For large built-up composite structures modeled with plate elements, the shell/3D modeling technique offers a great potential, since only a relatively small section in the vicinity of the delamination front needs to be modeled with solid elements.
Mechanisms of stable lipid loss in a social insect

SUMMARY Worker honey bees undergo a socially regulated, highly stable lipid loss as part of their behavioral maturation. We used large-scale transcriptomic and proteomic experiments, physiological experiments and RNA interference to explore the mechanistic basis for this lipid loss. Lipid loss was associated with thousands of gene expression changes in abdominal fat bodies. Many of these genes were also regulated in young bees by nutrition during an initial period of lipid gain. Surprisingly, in older bees, which is when maximum lipid loss occurs, diet played less of a role in regulating fat body gene expression for components of evolutionarily conserved nutrition-related endocrine systems involving insulin and juvenile hormone signaling. By contrast, fat body gene expression in older bees was regulated more strongly by evolutionarily novel regulatory factors, queen mandibular pheromone (a honey bee-specific social signal) and vitellogenin (a conserved yolk protein that has evolved novel, maturation-related functions in the bee), independent of nutrition. These results demonstrate that conserved molecular pathways can be manipulated to achieve stable lipid loss through evolutionarily novel regulatory processes.
Prevalence of Ventricular Arrhythmia and Its Associated Factors in Nondialyzed Chronic Kidney Disease Patients

Background and Objectives Sudden cardiac death is the most common cause of mortality in chronic kidney disease patients, and it occurs mostly due to ventricular arrhythmias. In this study, we aimed at investigating the prevalence of ventricular arrhythmia and the factors associated with its occurrence in nondialyzed chronic kidney disease patients. Design, Setting, Participants and Measurements This cross-sectional study evaluated 111 chronic kidney disease patients (estimated glomerular filtration rate 34.7±16.1 mL/min/1.73 m2, 57±11.4 years, 60% male, 24% diabetics). Ventricular arrhythmia was assessed by 24-hour electrocardiogram. Left ventricular hypertrophy (echocardiogram), 24-hour ambulatory blood pressure monitoring, and coronary artery calcification (multi-slice computed tomography) and laboratory parameters were also evaluated. Results Ventricular arrhythmia was found in 35% of the patients. Non-controlled hypertension was observed in 21%, absence of systolic decency in 29%, left ventricular hypertrophy in 27%, systolic dysfunction in 10%, and coronary artery calcification in 49%. Patients with ventricular arrhythmia were older (p<0.001), predominantly men (p = 0.009), had higher estimated glomerular filtration rate (p = 0.03) and hemoglobin (p = 0.005), and lower intact parathyroid hormone (p = 0.024) and triglycerides (p = 0.011) when compared to patients without ventricular arrhythmia. In addition, a higher left ventricular mass index (p = 0.002) and coronary calcium score (p = 0.002), and a lower ejection fraction (p = 0.001) were observed among patients with ventricular arrhythmia. In the multiple logistic regression analysis, aging, increased hemoglobin levels and reduced ejection fraction were independently related to the presence of ventricular arrhythmia. Conclusions Ventricular arrhythmia is prevalent in nondialyzed chronic kidney disease patients. Age, hemoglobin levels and ejection fraction were the factors associated with ventricular arrhythmia in these patients.
Knowledge Graph Embedding with Multiple Relation Projections

Knowledge graphs contain rich relational structures of the world, and thus complement data-driven knowledge discovery from heterogeneous data. Relational inference between distant entities in large-scale knowledge graphs demands fast relation-specific algebraic manipulations. One of the most effective methods is to embed symbolic relations and entities into continuous spaces, where relations are approximately linear translation between projected images of entities in the relation space. However, state-of-art relation projection methods such as TransR, TransD or TransSparse do not model the correlation between relations, and thus are not scalable to complex knowledge graphs with thousands of relations, both in term of computational demand and statistical robustness. To this end we introduce TransF, a novel translation-based method which mitigates the burden of relation projection by explicitly modeling the basis subspaces of projection matrices. As a result, TransF is far more light weight than the existing projection methods, and is robust when facing a high number of relations. Experimental results on canonical link prediction and triples classification tasks show that our proposed model outperforms competing rivals by a large margin and achieves state-of-the-art performance. Especially, TransF improves by 9% (5%) on the head/tail entity prediction task with N-to-l (l-to-N) over the best performing translation-based method.
Assessment of Responses of Tropical Pacific Air–Sea CO2 Flux to ENSO in 14 CMIP5 Models

AbstractResponses of tropical Pacific air–sea CO2 flux (fCO2) to El Nino–Southern Oscillation (ENSO) events in 14 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are examined. The contributions of sea surface temperature (SST), dissolved inorganic carbon in surface seawater (DIC), and total alkalinity of surface seawater (TALK) to interannual variation of ln(pCO2sea) (instead of partial pressure of CO2 in surface seawater pCO2sea) are quantified based on standardized empirical orthogonal function (EOF) results. Results show that six of the models have poor responses because they fail to reproduce observed interannual variation of pCO2sea in the central-eastern tropical Pacific. These six models underestimate the contribution of DIC interannual variation to interannual variation of pCO2sea in the central-eastern tropical Pacific due to a weak relation between interannual variation of upwelling and ENSO events or a weak relation (including no relation) between interannual variation .
A phosphorylation-dependent intramolecular interaction regulates the membrane association and activity of the tumor suppressor PTEN

The PI 3-phosphatase PTEN (phosphatase and tensin homologue deleted on chromosome 10), one of the most important tumor suppressors, must associate with the plasma membrane to maintain appropriate steady-state levels of phosphatidylinositol 3,4,5-triphosphate. Yet the mechanism of membrane binding has received little attention and the key determinants that regulate localization, a phosphatidylinositol 4,5-bisphosphate (PIP2) binding motif and a cluster of phosphorylated C-terminal residues, were not included in the crystal structure. We report that membrane binding requires PIP2 and show that phosphorylation regulates an intramolecular interaction. A truncated version of the enzyme, PTEN1–351, bound strongly to the membrane, an effect that was reversed by co-expression of the remainder of the molecule, PTEN352–403. The separate fragments associated in vitro, an interaction dependent on phosphorylation of the C-terminal cluster, a portion of the PIP2 binding motif, integrity of the phosphatase domain, and the CBR3 loop. Our investigation provides direct evidence for a model in which PTEN switches between open and closed states and phosphorylation favors the closed conformation, thereby regulating localization and function. Small molecules targeting these interactions could potentially serve as therapeutic agents in antagonizing Ras or PI3K-driven tumors. The study also stresses the importance of determining the structure of the native enzyme.
Carpal Tunnel Syndrome in Pregnancy: A Prospective Study

In this prospective study, 56 women (2.3%) of 2 358 (47% nulliparous and 53% multiparous) delivered during a 12‐month period at the Department of Obstetrics and Gynecology, Malmo General Hospital, had symptoms of carpal tunnel syndrome during pregnancy. All (33 nulliparous and 23 multiparous women) were examined, at the outpatient's maternity care unit and within 4–5 weeks from the time of debut of symptoms, by a specialist in hand surgery. At that time the most common symptoms were paresthesia and nocturnal pain. Twenty‐nine had signs of reduced sensibility and 14 of them had a positive two‐point discrimination test. AH had generalized edema. Conservative treatment with splinting of the wrist at night made 46 out of 56 symptom‐free. Of the remaining 10 women, 3 had to be operated on, whereas 7 received only conservative treatment, as the expected time for parturition was very close. One of them had to be operated on after delivery. In conclusion, carpal tunnel syndrome during pregnancy is most common in primiparas with generalized edema. Conservative treatment is sufficient for symptom relief in most women (80%) but a few cases need operative intervention to abolish the severe pain and to avoid disturbances of hand function.
Understanding Undergraduates' Information Literacy from their Facebook Usage

The rapid growth in the popularity of online social networking services has been accompanied by some problems and negative effects. Institutes of higher education have designed their curricula to enhance students' information literacy. However, it is questionable whether students have enough information literacy to counteract the potential problems. This study adopts a negative perspective in order to propose a model that assesses the information literacy of undergraduates and explores the determinants of usage behavior. The developed research model has been empirically validated using the responses from a field survey of undergraduates. The results show that perceived behavior control, perceived risk, perceived privacy self-protection, and perceived ease of use are the determinants of usage behavior. Most students are aware that the risks tend to be serious, but are willing to take them nonetheless. This study shows that undergraduates misunderstand the law and need to refresh their understanding of information literacy. The study also proposes some suggestions for future research and instruction.
The Cover Number of a Matrix and its Algorithmic Applications

Given a matrix A, we study how many epsilon-cubes are required to cover the convex hull of the columns of A. We show bounds on this cover number in terms of VC dimension and the gamma_2 norm and give algorithms for enumerating elements of a cover. This leads to algorithms for computing approximate Nash equilibria that unify and extend several previous results in the literature. Moreover, our approximation algorithms can be applied quite generally to a family of quadratic optimization problems that also includes finding the k-by-k combinatorial rectangle of a matrix. In particular, for this problem we give the first quasi-polynomial time additive approximation algorithm that works for any matrix A in [0,1]^{m x n}.
Comparison of Cylindrical and Tapered Stem Designs for Femoral Revision Hip Arthroplasty

Background: Cylindrical fully-coated cobalt-chromium stems (CCS) have been widely used in femoral revisions. However, monoblock fluted conical tapered stems (FCTS) are growing in popularity. The present study seeks to determine whether there are any long-term differences between the two designs. Material and methods: A retrospective study of 38 CCS versus 40 FCTS was carried out. Demographic data, clinical variables and radiographic parameters were recorded. Results: Demographic data were comparable. A greater proportion of septic revisions, periprosthetic fractures and previous osteosynthesis failures was observed with FCTS versus CCS (p = 0.012). A greater use of FCTS was recorded in cases with bone defects of type IIIA and higher (p = 0.025). There were no significant differences in terms of in-hospital complications (p = 0.815), postoperative surgical complications or need for reoperation (p = 0.156). The CCS group presented a higher percentage of clinical thigh pain at the end of follow-up (p = 0.006). Additionally, a greater presence of radiolucencies was observed with CCS, especially in proximal zones (1, 7, 10 and 14). More subsidence, tip cortical hypertrophy and stress shielding were recorded in the CCS group. The overall survival at 120 months was 84.2% in the CCS group and 85% in the FCTS group (p = 0.520). When analyzing isolated aseptic loosening as the cause of failure, the survival rate was 94.7% in the CCS group and 95% in the FCTS group (p = 0.506). Conclusions: Both FCTS and CCS with diaphyseal anchorage afford excellent long-term survival rates, with no differences between the two designs. However, a higher incidence of stress shielding, radiolucencies and thigh pain with CCS seems to favor the use of FCTS.
Nursing-care text evaluation using word vector representations realized by word2vec

In this paper, we discuss a classification method of nursing-care texts using the word2vec. The word2vec is a tool which provides the continuous bag-of-words and skip-gram implementations for realizing word vectors. We have tackled to classify nursing-care texts, which are freestyle Japanese texts, for improving nursing quality in several years. Several machine learning methods have been used for classifying such texts. To train a machine learning method, we used a word list which contains words appeared in the training data. Since the word list is a mere list, the relation among words is not considered. Also the length of the list depends on the number of words. Word vector representation realized word representations in arbitrary dimensional space. We use the word2vec as a alternative word list in this paper. And we propose a new feature vector definition which is based on dependency structures in a text. From experimental results, we compare the proposed definition with our previous works.
Dawnside Wedge Current System Formed During Intense Geomagnetic Storms

We investigate the formation and development of a large‐scale current system in the dawn sector during intense geomagnetic storms. Four events are selected based on the historical ranking of the westward deflections of the morningside midlatitude magnetic field. For each event the polar distribution of equivalent currents indicates a significant intensification of the westward electrojet (WEJ), which initially takes place at postmidnight and then extends eastward covering the entire dawn sector. The longitudinal confinement of the enhanced WEJ suggests that it closes with downward and upward field‐aligned currents (FACs) at its eastern and western ends, respectively, and therefore, the entire system may be envisioned as a wedge current. It is noted, however, that the primary closure of FACs is meridional, and those upward and downward FACs are considered to be unbalanced parts of the R1 and R2 currents. In one event dipolarization was observed in the dawnside plasma sheet near the magnetic conjugate point of the enhanced WEJ, and in another event a major auroral expansion was observed in the entire dawn sector. It is therefore suggested that the formation of the wedge current system and the subsequent expansion toward dayside is an ionospheric projection of the tail current reduction extending toward the dawnside flank. This wedge current system is similar to the substorm wedge current system except that it is centered at dawn. The recurrent formation of this dawnside current wedge in intense storms suggests that this is another distinct constituent of the storm time current system.
Structured Polynomial Eigenvalue Problems: Good Vibrations from Good Linearizations

Many applications give rise to nonlinear eigenvalue problems with an underlying structured matrix polynomial. In this paper several useful classes of structured polynomials (e.g., palindromic, even, odd) are identified and the relationships between them explored. A special class of linearizations which reflect the structure of these polynomials, and therefore preserve symmetries in their spectra, is introduced and investigated. We analyze the existence and uniqueness of such linearizations and show how they may be systematically constructed.
Emulating query-biased summaries using document titles

Generating query-biased summaries can take up a large part of the response time of interactive information retrieval (IIR) systems. This paper proposes to use document titles as an alternative to queries in the generation of summaries. The use of document titles allows us to pre-generate summaries statically, and thus, improve the response speed of IIR systems. Our experiments suggest that title-biased summaries are a promising alternative to query-biased summaries.
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control

Process Control Systems (PCSs) are the operating core of Critical Infrastructures (CIs). As such, anomaly detection has been an active research field to ensure CI normal operation. Previous approaches have leveraged network level data for anomaly detection, or have disregarded the existence of process disturbances, thus opening the possibility of mislabelling disturbances as attacks and vice versa. In this paper we present an anomaly detection and diagnostic system based on Multivariate Statistical Process Control (MSPC), that aims to distinguish between attacks and disturbances. For this end, we expand traditional MSPC to monitor process level and controller level data. We evaluate our approach using the Tennessee-Eastman process. Results show that our approach can be used to distinguish disturbances from intrusions to a certain extent and we conclude that the proposed approach can be extended with other sources of data for improving results.
Distributed generation management: An optimal sensitivity approach for decentralized power control

The high penetration level of Distributed Generation (DG) power plants into Distribution Networks (DN) has highlighted the necessity to develop proper control techniques to supply customers with voltage levels contained within regulatory limits and to offer ancillary services to the DN. Compared with traditional centralized control techniques, decentralized ones act locally requiring less investments in terms of communication systems or remote sensing. This paper deals with optimization issues for local reactive power control of voltage profiles in Medium Voltage (MV) radial distribution systems. The proposed optimized controller is based on a sensitivity analysis approach aimed at minimizing reactive power injection into the DN and active power losses while avoiding DG units disconnection as much as possible. Validation of the proposed controller has been conducted on a real MV Italian distribution system.
Discriminant Potential of the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in Greek Older Adults with Subjective Cognitive Decline and Mild Cognitive Impairment

Background: Alzheimer’s Disease Assessment Scale Cognitive Subscale (ADAS-Cog) is a widely used screening tool for detecting older adults with Alzheimer’s disease among their cognitively healthy peers. A previous study in Greek population showed that ADAS-Cog-Greek (G) is a valid tool and can identify people with Alzheimer’s disease from older adult control group; however, there is no current data about whether ADAS-Cog can differentiate older adults with mild cognitive impairment (MCI) from those who have subjective cognitive decline (SCD). Objective: The current study aimed to examine the discriminant potential of ADAS-Cog-G in Greek older adults who meet the criteria for SCD or MCI. Methods: Four hundred eighty-two community-dwelling older adults, visitors of the Greek Alzheimer Association and Related Disorders, were enrolled in the current study. One hundred seventy-six of them met the criteria for SCD and three hundred six had MCI. Results: Path analysis applied to the data showed that age, as well as educational level affected ADAS-Cog-G performance. Results showed that the cut-off scores, which better discriminate people with SCD from MCI as well as their sensitivity and specificity values, were extracted in participants with high educational level (13 educational years<) and mainly under the age of 75 years. Conclusions: The current study provided evidence concerning the discriminant potential of ADAS-Cog-G to differentiate older adults with SCD from those with MCI in the Greek population, and therefore contributes to the relevant literature on the field.