Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of deformation history on the interpretation of seismic anisotropy

Seismic anisotropy in the mantle is primarily caused by the lattice‐preferred orientation (LPO) of olivine, which forms and evolves in response to progressive plastic deformation. The style of LPO and its rate of evolution depend on the effects of physiochemical conditions on the microphysics of deformation and recovery. Here, we integrate results from laboratory experiments and naturally deformed shear zones to evaluate how variability in the evolution of olivine LPO modifies existing strategies for interpreting seismic anisotropy. We concentrate on two particular effects. First, we show that olivine A‐ and E‐type LPOs evolve with opposite senses of rotation, producing a wide spectrum of angular relationships between the orientation of fast seismic wave propagation and the direction of flow. Second, we show that the presence of a pre‐existing LPO introduces a lag between changes in deformation kinematics and alignment of the seismic fast direction with the shear direction. The combination of these two factors affects the inference of deformation kinematics from seismic anisotropy and the interpretation of shear wave splitting parameters.
Brand Clustering Based on Social Big Data: A Case Study

Since the Internet provides a common way for expressing and sharing people’s ideas or minds, corporate marketers can gather data on the web to acquire measurable and actionable insights. As the smartphones are widely spread as hand-held devices, SNSs(Social Network Services) in the smartphones become common media to record people’s daily activities and thoughts, researchers try to gather and read people’s mind on SNS through opinion mining or sentiment analysis. In this study we suggest a framework for clustering brand names and perform a case study of cosmetic products using social big data gathered on the social media Microblog, Twitter. To cluster the brand names, we calculate the distance of paired brand names based on the total number paired brand names mentioned together. To identify the clusters among these brands names, we projected the brand names onto a 2dimensional and a 3-dimentional space using MDS(Multi-Dimensional Scaling). After projecting the brand names, we found the clusters of the brand names using k-means clustering and identified the characteristics of each cluster.
Molecular Species Delimitation of Icelandic Brittle Stars (Ophiuroidea)

Brittle stars (Echinodermata: Ophiuroidea) comprise over 2,000 species, all of which inhabit marine environments and can be abundant in the deep sea. Morphological plasticity in number and shape of skeletal parts, as well as variable colors, can complicate correct species identification. Consequently, DNA sequence analysis can play an important role in species identification. In this study we compared the genetic variability of the mito− chondrial cytochrome c subunit I gene (COI) and the nuclear small subunit ribosomal DNA (SSU, 18S rDNA) to morphological identification of 66 specimens of 11 species collected from the North Atlantic in Icelandic waters. Also two species delimitation tools, Automatic Barcode Gap Discovery (ABGD) and General Mixed Yule Coalescence Method (GMYC) were performed to test species hypotheses. The analysis of both gene fragments was suc− cessful to discriminate between species and provided new insights into some morphological species hypothesis. Although less divergent than COI, it is helpful to use the SSU region as a complementary fragment to the barcoding gene. Key wor ds: Icelandic waters, ophiuroids, echinoderms, ABGD, COI, GMYC, SSU.
Diabetes Mellitus Secondary to Cushing’s Disease

Associated with important comorbidities that significantly reduce patients’ overall wellbeing and life expectancy, Cushing’s disease (CD) is the most common cause of endogenous hypercortisolism. Glucocorticoid excess can lead to diabetes, and although its prevalence is probably underestimated, up to 50% of patients with CD have varying degrees of altered glucose metabolism. Fasting glycemia may nevertheless be normal in some patients in whom glucocorticoid excess leads primarily to higher postprandial glucose levels. An oral glucose tolerance test should thus be performed in all CD patients to identify glucose metabolism abnormalities. Since diabetes mellitus (DM) is a consequence of cortisol excess, treating CD also serves to alleviate impaired glucose metabolism. Although transsphenoidal pituitary surgery remains the first-line treatment for CD, it is not always effective and other treatment strategies may be necessary. This work examines the main features of DM secondary to CD and focuses on antidiabetic drugs and how cortisol-lowering medication affects glucose metabolism.
Novel Modulators of Proteostasis: RNAi Screen of Chromosome I in a Heat Stress Paradigm in C. elegans

Proteostasis is of vital importance for cellular function and it is challenged upon exposure to acute or chronic insults during neurodegeneration and aging. The proteostasis network is relevant for the maintenance of proteome integrity and mainly comprises molecular chaperones and two degradation pathways, namely, autophagy and the ubiquitin proteasome system. This network is characterized by an impressive functional interrelation and complexity, and occasionally novel factors are discovered that modulate proteostasis. Here, we present an RNAi screen in C. elegans, which aimed to identify modulators of proteostasis in a heat stress paradigm. The screen comprised genes that are located on chromosome I of the nematode and has identified 185 genetic modifiers, whose knockdown has enhanced the misfolding of a reporter protein upon temperature increase. Subsequently, we evaluated the effect of a distinct number of the identified candidates in an additional C. elegans model strain, which expresses the aggregation-prone PolyQ35::YFP protein. Moreover, we annotated the human orthologs of the identified proteins and analyzed their enrichment in functional clusters and, as appropriate, their association with human neuropathologies. The achieved data collection includes several factors that have already been functionally associated with the proteostasis network, which highlights the potential of this heat stress-based proteostasis screen in order to detect novel modulators of proteome integrity.
Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis

Introduction Major depression is a leading cause of disability and has been associated with adverse effects in older persons. While many pharmacological and non-pharmacological interventions have been shown to be effective to address major depression in older persons, there has not been a meta-analysis that consolidates all the available interventions and compare the relative benefits of these available interventions. In this study, we aim to conduct a systematic review and network meta-analysis to compare the efficacy and acceptability of all the known pharmacological and non-pharmacological interventions for major depression in older persons. Methods and analysis We will search Medline, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health, Cochrane Central Register of Controlled Trials and references of other review articles for articles related to the keywords of ‘randomised trial’, ‘major depression’, ‘older persons’ and ‘treatments’. Two reviewers will independently select the eligible articles. For each included article, the two reviewers will independently extract the data and assess the risk of bias using the Cochrane revised tool for risk of bias. Bayesian network meta-analyses will be conducted to pool the depression scores (based on standardised mean difference) and the all-cause discontinuation across all included studies. The ranking probabilities for all interventions will be estimated and the hierarchy of each intervention will be summarised as surface under the cumulative ranking curve (SUCRA). Meta-regression and sub-group analyses will also be performed to evaluate the effect of study-level covariates. The quality of the evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. Ethics and dissemination The results will be disseminated through conference presentations and peer-reviewed publications. They will provide the consolidated evidence to inform clinicians on the best choice of intervention to address major depression in older persons. PROSPERO registration number CRD42017075756.
Polar codes with internal edge permutations

In this paper, we propose to add one or more internal edge permutations in the Tanner graph of polar codes, shuffling the columns of one or more sub-matrices of the overall transformation matrix of the code. As a consequence, the code changes as compared to the polar code without such inner edge permutations: properly designed permutations lead to an increase of the minimum distance or at least a decrease of the number of codewords (multiplicity) at the minimum distance. In both cases, the error rate performance is significantly improved, without effecting the polarization effect and hence the bit reliabilities.
Customer and target individual face analysis for retail analytics

Statistics about customer satisfaction are extremely valuable for retail stores. We present an automated approach to obtaining this information using image processing and deep learning. Our system combines face detection and tracking, best view estimation, repeat customer identification, blacklisted customer warnings, and facial sentiment classification. A series of experiments shows that each of the modules in the combined systems achieves satisfactory results.
ESEC / FSE : U : DecisionDroid : A Supervised Learning-Based System to Identiy Cloned Android Applications

This paper presents the design and evaluation of DecisionDroid, a supervised learning based system to identify cloned Android app pairs. DecisionDroid combines a set of 13 different features and is highly resilient. We trained DecisionDroid using a manually verified diverse dataset of 18,562 app pairs. On a hundred ten-fold cross validations, it achieved 96.8% precision, 97.2% recall, and 98.3% accuracy.
ISCAS_Sogou at TAC-KBP 2017

ISCAS_Sogou participated in the entire Chinese Coldstart task in TAC-KBP 2017. This paper describes our cold start knowledge base population system. Our system consists of four components: Entity Discovery and Coreference, Relation Extraction, Event Extraction and BeSt Detection. We first briefly describe the architecture of our system. And then we introduce each module in detail.
Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation

Cross-lingual Entity Discovery and Linking (EDL) task involves discovering query mentions in crosslingual documents and linking them to their referent entities in an English Knowledge Base (KB). Traditional entity Linking models heavily rely on engineering manual and often language dependent features. Recently, deep learning based models have emerged as compelling solutions that alleviate the problem of feature engineering. In this paper we propose a deep learning based model in which the cross-lingual contextual information are encoded into mention and entity embeddings and then hard-wired into a linker that can optionally leverages them along with other lexical features in its disambiguation process. The experimental results show that the embeddings can efficiently enhance the performance of the linker while they are learned without relying on specific language features.
Relative contributions to surface shortwave irradiance over China: A new index of potential radiative forcing

The contributions of atmospheric factors to surface shortwave irradiance (S) variability was investigated, using radiative transfer calculations to examine all sky (both cloud‐free and cloudy) conditions. We defined the sensitivities of S to differential increases from given values of cloud, aerosol, and water vapor as potential radiative forcing (PRF). Thus, the expected change in S due to one factor would be the product of the PRF and the change in that factor. Geographical features of the PRF were described over China in January and July, and then the PRF was applied to evaluate the relative contributions of related factors to S variability over Jinan (the central‐eastern China) during 1984 and 1990. Although some shortcomings were pointed out, the usefulness of the PRF was confirmed for determining the relative contributions. In particular, to use accurate aerosol absorption properties was suggested to be crucial for quantitative radiation budget estimates.
Links Between Life Stories and Identity Profiles in Emerging Adults From Georgia

In this study, we examine personal identity formation using two approaches: a dual-cycle model of identity development and a narrative life-story model. We used quantitative and qualitative methods for studying personal identity: Luyckx et al.’s Dimensions of Identity Development Scale and D. P. McAdams’ life-story interview. Using six cases selected from a sample of 62 Georgian emerging adults, we illustrate how identity profiles created using six identity dimensions (exploration in breadth, commitment-making, identification with commitment, reflective exploration in depth, reconsideration of commitment, and ruminative exploration) are reflected in life stories depicting participants’ paths toward identity commitments and their ideas about the future and life themes. This article demonstrates how identity dimensions are connected to the context and how this connection is manifested in their life stories. The research illustrates theoretical exemplification by case studies and exemplifies the manifestation of dual-cycle identity development theorizing in case examples through narratives.
Incidence and characteristics of unintentional injuries among children in a resource limited setting in Kampala, Uganda

ABSTRACT Given that little is known about the epidemiology of unintentional injuries in children in low-income countries, this study sought to determine the incidence and characteristics of unintentional injuries among children aged ≤18 years in a slum community in Uganda. From a household survey, the incidence and odds ratios for factors associated with unintentional injury characteristics were calculated. Of 1583 children, 706 had suffered 787 unintentional injuries yielding an annual incidence rate of 497 injuries per 1000 children. Commonest injuries were cuts, bites or open wounds (30.6%) and bruises or superficial injuries (28.6%) with majority (75.5%) occurring at home. Boys were more likely to be injured at school (AOR 4.34; 95% CI 1.22–15.54) and to be injured from falls (AOR 1.41; 95% CI 1.01–1.96). Older children (12–18 years) were more likely to suffer from fractures (AOR 2.37; 95% CI 1.26–4.43), concussions and organ system injuries (AOR 3.58; 95% CI 1.03–12.39) and cuts, bites or open wounds (AOR 2.05; 95% CI 1.21–3.48). Older children were less likely to suffer burns or scalds as compared to the young children (AOR: 0.23; 95% CI 0.11–0.50). Unintentional injury incidence rate was high among children with most occurring in the homes.
Development of an Experimental Model for Analyzing Drug Resistance in Colorectal Cancer

Colorectal cancer (CRC) is one of the most common cancers, for which combination treatment of chemotherapy is employed. However, most patients develop drug resistance during the course of treatment. To clarify the mechanisms of drug resistance, various research models have been developed. Recently, we established a human CRC patients-derived three-dimensional (3D) culture system using an air-liquid interface organoid method. It contained numerous cancer stem cells and showed resistance to 5-fluorouracil and Irinotecan. In this review, we introduce conventional and our established models for studying drug resistance in CRC.
Mobile Health Solutions for Hypertensive Disorders in Pregnancy: Scoping Literature Review

Background Hypertensive disorders are the most common complications during pregnancy, occurring in 5% to 11% of pregnancies; gestational hypertension and preeclampsia are the leading causes of perinatal and maternal morbidity and mortality, especially in low- and middle-income countries (LMIC) where maternal and perinatal mortality ratios are still high. Pregnant women with hypertensive disorders could greatly benefit from mobile health (mHealth) solutions as a novel way to identify and control early symptoms, as shown in an increasing number of publications in the field. Such digital health solutions may overcome access limiting factors and the lack of skilled medical professionals and finances commonly presented in resource-poor environments. Objective The aim of this study was to conduct a literature review of mHealth solutions used as support in hypertensive disorders during pregnancy, with the objective to identify the most relevant protocols and prototypes that could influence and improve current clinical practice. Methods A methodological review following a scoping methodology was conducted. Manuscripts published in research journals reporting technical information of mHealth solutions for hypertensive disorders in pregnancy were included, categorizing articles in different groups: Diagnosis and Monitoring, mHealth Decision Support System, Education, and Health Promotion, and seven research questions were posed to study the manuscripts. Results The search in electronic research databases yielded 327 articles. After removing duplicates, 230 articles were selected for screening. Finally, 11 articles met the inclusion criteria, and data were extracted from them. Very positive results in the improvement of maternal health and acceptability of solutions were found, although most of the studies involved a small number of participants, and none were complete clinical studies. Accordingly, none of the reported prototypes were integrated in the different health care systems. Only 4 studies used sensors for physiological measurements, and only 2 used blood pressure sensors despite the importance of this physiological parameter in the control of hypertension. The reported mHealth solutions have great potential to improve clinical practice in areas lacking skilled medical professionals or with a low health care budget, of special relevance in LMIC, although again, no extensive clinical validation has been carried out in these environments. Conclusions mHealth solutions hold enormous potential to support hypertensive disorders during pregnancy and improve current clinical practice. Although very positive results have been reported in terms of usability and the improvement of maternal health, rigorous complete clinical trials are still necessary to support integration in health care systems. There is a clear need for simple mHealth solutions specifically developed for resource-poor environments that meet the United Nations Sustainable Development Goal (SDG); of enormous interest in LMIC.
Protective effect of hydroalcoholic Rheum ribes L. extract in male rat model of lead acetate-induced nephrotoxicity

Background: In the recent years, the prevalence of metal-induced toxicity, especially leadinduced toxicity, has increased considerably. Metals including lead cause oxidative stress. Therefore Rheum ribes L. as a medicinal plant with antioxidant activity may reduce the complications of these toxicities. Objectives: The aim of the current study was to investigate the protective effect of hydroalcoholic R. ribes L. extract in male rat model of lead acetate-induced nephrotoxicity. Materials and Methods: In this experimental study, 40 male Wistar rats were randomly assigned to four groups: Normal saline (control) group, positive control group treated with 0.6 g/L/d of lead acetate in drinking water, and two R. ribes groups treated with 200 and 400 mg/kg/d of R. ribes extract in addition to lead acetate for 10 days. After treatment, the rats were anesthetized, blood samples were taken, and kidneys were removed and fixed in 10% formalin. Then, serum antioxidant capacity was measured and kidney tissue specimens histopathologically studied. Results: Serum antioxidant capacity was significantly different between lead acetate group and the group treated with lead acetate + R. ribes extract (400 mg/kg). Additionally mice receiving lead acetate + R. ribes extract (400 mg/kg) had significantly higher antioxidant capacity than the control group (P<0.05). Treatment of lead acetate-treated rats with R. ribes extract significantly prevented damage to their kidney tissues. Conclusions: Rheum ribes extract can prevent lead-induced kidney damage, and therefore exposure to lead acetate by people are recommended to consume this extract.
Sphingolipids inhibit endosomal recycling of nutrient transporters by inactivating ARF6

ABSTRACT Endogenous sphingolipids (ceramide) and related synthetic molecules (FTY720, SH-BC-893) reduce nutrient access by decreasing cell surface expression of a subset of nutrient transporter proteins. Here, we report that these sphingolipids disrupt endocytic recycling by inactivating the small GTPase ARF6. Consistent with reported roles for ARF6 in maintaining the tubular recycling endosome, MICAL-L1-positive tubules were lost from sphingolipid-treated cells. We propose that ARF6 inactivation may occur downstream of PP2A activation since: (1) sphingolipids that fail to activate PP2A did not reduce ARF6-GTP levels; (2) a structurally unrelated PP2A activator disrupted tubular recycling endosome morphology and transporter localization; and (3) overexpression of a phosphomimetic mutant of the ARF6 GEF GRP1 prevented nutrient transporter loss. ARF6 inhibition alone was not toxic; however, the ARF6 inhibitors SecinH3 and NAV2729 dramatically enhanced the killing of cancer cells by SH-BC-893 without increasing toxicity to peripheral blood mononuclear cells, suggesting that ARF6 inactivation contributes to the anti-neoplastic actions of sphingolipids. Taken together, these studies provide mechanistic insight into how ceramide and sphingolipid-like molecules limit nutrient access and suppress tumor cell growth and survival. Summary: Sphingolipids restrict access to extracellular nutrients by inhibiting the endosomal recycling of cell surface amino acid and glucose transporters downstream of ARF6 inactivation.
A Method of Moments for Analysis of Electromagnetic Scattering From Inhomogeneous Anisotropic Bodies of Revolution

This paper proposes an efficient method to analyze scattering from an inhomogeneous body of revolution (BOR) with anisotropic electromagnetic properties. Both the permittivity and the permeability are assumed to be generalized tensors while there are no restrictions on the geometry of the BOR. The proposed method involves three stages. First, the volume equivalence principle is used to replace the BOR with volume electric and magnetic current densities. Requisite volume integral equations (VIEs) are, then, derived with the electric and magnetic flux densities inside the BOR being the unknown quantities. Finally, the VIEs are solved by Galerkin’s method of moments. This is done by expanding the unknown flux densities in terms of appropriate basis functions compatible with the problem symmetry, and hence, reducing the integral equations to a matrix equation. The formation of the resultant matrix equation is elucidated in detail, whereby it is shown that the computation burden is remarkably reduced as no double volumetric-type integrals are to be computed. The efficiency of the proposed method is demonstrated by comparing the simulation results of several case studies with those available in the literature, or computed by commercial numerical codes.