Miracle-dz/UniFAR-FTUs huggingface dataset:
Oxysterol Binding Protein-dependent Activation of Sphingomyelin Synthesis in the Golgi Apparatus Requires Phosphatidylinositol 4-Kinase IIα

The study identifies a sterol- and oxysterol binding protein (OSBP)-regulated phosphatidylinositol 4-kinase that regulates ceramide transport protein (CERT) activity and sphingomyelin (SM) synthesis. RNA interference silencing experiments identify PI4KIIα; as the mediator of Golgi recruitment of CERT, providing a potential mechanism for coordinating assembly of SM and cholesterol in the Golgi or more distal compartments.
Detecting the zero-crossing message to achieve low bit transmission over H-bridge inverter

Home automation and smart grid development is motivated by many advantageous situations that include the demands on renewable energy and the advantages provided by power line communications technology (PLC). The integration of solar energy into conventional grid implies the control of different modules included in the system. Remote control seems to be the control mode by excellence, in which communication is the main point to focus on. The pulse width modulation (PWM) scheme used to control the inverter is also used to modulate the zero-crossing point of the output sine wave of the inverter, to transfer data. The zero-crossing modulation technique is proposed and basic elements to construct the model are proposed. Simulated constellations of the received signal are presented.
A novel 3D surface modeling based on Spatial Neighbor Points Coupling in reverse engineering

A novel 3D surface modeling method - 3D Surface Modeling based on Spatial Neighbor Points Coupling (SMSNPC) for scattered data points is addressed in this article. The main contribution contains two aspects: First, the 3D model of complex surface can be reconstructed through SMSNPC. Then, model parameters are recognized with Artificial Neural Network (ANN). To demonstrate the efficient applicability of the new algorithm, two groups of point data are presented. One collected by handheld laser scanner is used to validate the reconstruction result, and the other is used to be compared with non-coupling modeling. From the results, the new approach validates the expectation that SMSNPC can match the real complex surface satisfactorily which can't be finished by non-coupling modeling. By comparing the same sample data with non-coupling modeling, it is shown the reconstruction precision of SMSNPC is much higher.
Metabolic syndrome in newly diagnosed type 2 diabetes mellitus using NCEP-ATP III, the Nnewi experience.

BACKGROUND AND OBJECTIVES Type 2 diabetes is becoming epidemic and several studies have shown that diabetes is associated with increased co-morbidities and impaired functional health in the general adult population. Type 2 diabetes is one of the co-morbidities associated with metabolic syndrome that carries with it increased risk of cardiovascular disease and death. The purpose of this study is therefore to determine the prevalence of metabolic syndrome in newly diagnosed type 2 diabetes mellitus subjects seen at Nnewi South East Nigeria. DESIGN AND SETTING This is a cross-sectional study in newly diagnosed diabetics attending a private hospital-Hope Specialist Hospital, Nnewi. MATERIALS AND METHODS One hundred and eighteen (118) newly diagnosed diabetic patients were recruited into the study consisting of those who on routine screening were found to have elevated blood glucose or were symptomatic of the disease and presented for treatment. STATISTICAL ANALYSIS Statistical analysis was carried out using SPSS version 13. Student's t-test was used for continuous variables, and a χ2 test was used for categorical variables. In the analyses a P- value of <0.05 was considered statistically significant. RESULTS Of the 118 subjects, 25 were removed from the study because their samples were lost as a result of prolonged power outage leaving 93 subjects consisting of 47 males and 46 females. The mean (SD) and the range of age was 55.27 (12.55) years, 24-84 years; SBP 153.52 (29.83) mmHg,100-230 mmHg; DBP 94.23 (15.42) mmHg, 60-140 mmHg; TC 5.17 (1.4) mmol/L, 2.0-11.12 mmol/L; LDL-C 2.06 (1.55) mmol/L, 0.1-9.4 mmol/L; HDL-C 1.28 (0.48) mmol/L, 0.15-2.8 mmol/L; TG 1.75 (0.85) mmol/L, 0.50-5.0 mmol/L; BMI 30.30 (6.23) kg/m 2 , 17.84-49.12 kg/m 2 ; and WC of the general population mean (SD) 96.86 (7.16) cm, range 84-112 cm; for men 101.40 (3.88) cm, range 85-108 cm and for women 92.22 (6.77) cm, 84-112 cm. Metabolic syndrome was found in 62 (66.7%) subjects of which 26 (41.9%) were males and 36 (58.1%) were females (P < 0.019). The prevalence of different components of metabolic syndrome was as follows: hypertension was found in 75 (80.6%): 37 males and 38 females (P = 0.635), dyslipidemia in 31 (60.8%): 19 males and 12 females (P = 0.572). Obesity was found in 23 (45.1%): 8 males and 15 females (P < 0.014). Of the study subjects 33 had hypertension prior to the diagnosis of diabetes mellitus (DM). Seventeen males had hypertriglyceridemia against 11 females (P = 0.357). Equal number of males and females (11 each) had low HDL--C (-C (P = 0.603). CONCLUSION The study shows that metabolic syndrome is highly prevalent in newly diagnosed type 2 diabetes patients and the most common risk factor is hypertension.
Multimodality in the New Content Standards Era: Implications for English Learners

New content standards in English language arts and literacy, mathematics, and science expect all students, including English learners (ELs), to use multiple modes beyond language. Traditionally, conceptualizations of multimodality in EL education and the content areas have differed considerably. To acknowledge and begin confronting these differences, the author proposes weak and strong versions of multimodality. Whereas the weak version privileges language and takes nonlinguistic modes as scaffolds for language development with ELs, the strong version views multiple modes as essential to engaging in disciplinary practices. Adopting the strong version, the author analyzes work samples from a fourth-grade science classroom to illustrate how students deploy multiple modes strategically as they engage in scientific modeling. This analysis also shows how a multimodal lens can shed light on the unique affordances and limitations of language, a mode of particular relevance to ELs. The author argues that embracing the strong version of multimodality is not only necessary but transformative for ELs in the new content standards era, because it allows them to draw from the meaning-making resources at their disposal while engaging in disciplinary practices. In light of divergent conceptualizations of multimodality, the article ends with a call to action for closer collaboration between language and content educators. doi: 10.1002/tesq.443
Fractal characteristics of simulated electrical discharges

A two dimensional stochastic dielectric breakdown model was utilized to study the fractal properties of simulated lightning discharges and surface discharges. The fractal dimension of the simulated growth patterns varied depending on the cell configuration chosen for the breakdown. The inclusion of the cells in the diagonals with reference to the growth site produced less branched trees with smaller fractal dimensions. The production of branches in the electrical tree growth depends highly on ‘ η ', which is the exponent of the breakdown probability distribution. For small η values, highly complex tree patterns with many branches were observed. By controlling the value of η , growth patterns similar to the experimental observations could be produced. The average fractal dimension estimated through the Correlation Function method when η =1 for simulated lightning discharges and surface discharges were 1.56±0.01 and 1.68±0.01 respectively. When η >4 the growth patterns effectively lose their fractal structure and became a curve with dimension 1. Keywords: Electrical treeing, lightning, simulation, surface discharges doi:10.4038/jnsfsr.v36i2. 145 Journal of the National Science Foundation of Sri Lanka 36 (2) 137-143
Robust scale estimation for monocular visual odometry using structure from motion and vanishing points

While monocular visual odometry has been widely investigated, one of its key issues restrains its broad appliance: the scale drift. To tackle it, we leverage scene inherent information about the ground plane to estimate the scale for usage on Advanced Driver Assistance Systems. The algorithm is conceived so that it is independent of the unscaled ego-motion estimation, augmenting its adaptability to other frameworks. A ground plane estimation using Structure From Motion techniques is complemented by a vanishing point estimation to render our algorithm robust in urban scenarios. The method is evaluated on the KITTI dataset, outperforming state of the art algorithms in areas where urban scenery is dominant.
Enhanced Reliability Modeling of RAID Storage Systems

A flexible model for estimating reliability of RAID storage systems is presented. This model corrects errors associated with the common assumption that system times to failure follow a homogeneous Poisson process. Separate generalized failure distributions are used to model catastrophic failures and usage dependent data corruptions for each hard drive. Catastrophic failure restoration is represented by a three-parameter Weibull, so the model can include a minimum time to restore as a function of data transfer rate and hard drive storage capacity. Data can be scrubbed as a background operation to eliminate corrupted data that, in the event of a simultaneous catastrophic failure, results in double disk failures. Field-based times to failure data and mathematic justification for a new model are presented. Model results have been verified and predict between 2 to 1,500 times as many double disk failures as that estimated using the current mean time to data loss method.
IMAGE MEASUREMENT TECHNIQUES IN ROCK GLACIER MODELLING

Rock glacier is a rare case of study for 3D modelling. We use a stereo feature-based method and multi-view stereo reconstruction algorithms to get different types of cartography. The proposed method has been tested in a real rock glacier example (Veleta in Sierra Nevada, Spain) for producing maps with good results. This rock glacier is of high scientific interest because it is the southernmost active rock glacier in Europe and it has been analyzed every year since 2001. The research on the Veleta rock glacier is devoted to the study of its displacement and cartography through geodetic and photogrammetric techniques. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.
Distributed node-specific direction-of-arrival estimation in wireless acoustic sensor networks

In this paper, we study the effect of collaboration between nodes for direction of arrival (DOA) estimation in a full connected wireless acoustic sensor network (WASN) where the position of the nodes is unknown. Each node is equipped with a linear microphone array which defines a node-specific DOA with respect to a single common target speech source. We assume that the DOA estimation algorithm is operated in conjunction with a distributed noise reduction algorithm, referred to as the distributed adaptive node-specific signal estimation (DANSE) algorithm. To avoid additional data exchange between the nodes, the goal is to exploit the shared signals used in the DANSE algorithm to also improve the node-specific DOA estimation. The DOA estimation is based on the multiple signal classification (MUSIC) algorithm (if sufficient computing power is available), or a least-squares (LS) method based on a locally estimated steering vector which allows to eliminate the exhaustive search in MUSIC and results in a significantly lower computational complexity. Simulation results demonstrate that collaboration between nodes improves the performance of the DOA estimation compared to the case where the nodes operate individually, i.e. do not collaborate.
Co-reranking by mutual reinforcement for image search

Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always provide enough guidance to the reranking process. For example, different images with similar appearance may not always present the same relevant information to the query. Observing that multi-modality cues carry complementary relevant information, we propose the idea of co-reranking for image search, by jointly exploring the visual and textual information. Co-reranking couples two random walks, while reinforcing the mutual exchange and propagation of information relevancy across different modalities. The mutual reinforcement is iteratively updated to constrain information exchange during random walk. As a result, the visual and textual reranking can take advantage of more reliable information from each other after every iteration. Experiment results on a real-world dataset (MSRA-MM) collected from Bing image search engine shows that co-reranking outperforms several existing approaches which do not or weakly consider multi-modality interaction.
Single clock charge pump designed in 0.35µm technology

An on-chip novel design of a single clock charge pump for high voltage applications is being presented in this paper. The proposed charge pump is designed using AMS 0. 35µm technology. Three stages of the proposed charge pump are being used for the results verification and comparing them with the six stages of Dickson charge pump designed with diode connected PMOS. The proposed charge pump gives an output voltage of 5.34V at no-load. The proposed charge pump gives maximum efficiencies of 89% on 1MHz frequency and 87.4% on 5MHz frequency using 1Mohm load resistance. The efficiency and the output voltage including voltage gain per stage of the proposed charge pump are higher than the Dickson charge pump measured under similar conditions mediating that the performance of proposed charge pump is better than the Dickson charge pump.
MBHP: A memory-based method on robot planning under uncertainties

The current work environments for mobile robots tend to be complex and dynamic, which often causes difficulties in the execution of tasks due to incomplete and uncertain information. A number of experiments and applications have shown that it is an appropriate and efficient approach to handle this issue by integrating the AI method with plan-based robot control. In this paper, an HTN (Hierarchical Task Net) planner is integrated in the control architecture of a mobile robot as the deliberative planner, so that the tasks can be recursively decomposed into smaller subtasks, and the atomic actions sufficient for execution can be finally achieved. Simultaneously, by combining a robotics memory base and probability inference, the robot can exploit its experience, so that the lacking information for robot planning can be compensated. Finally, several experiments show that the robot can accomplish the task more efficiently in a dynamic environment by using this approach, which is called Memory-Based HTN Planning (MBHP).
Prison Life and Prior Social Experiences: Understanding their Importance for Indigenous Peoples’ Re-entry Outcomes

This study explores whether differences in Indigenous and non-Indigenous peoples' risk of reincarceration can partially be explained by their social experiences prior-To-prison and their prison-life experiences. Using administrative and self-report data from 1,238 incarcerated Indigenous (n =303) and non-Indigenous (n = 935) people in Australia, we conducted a series of Cox proportional hazards regressions. We found that Indigenous people had a significantly increased risk of reincarceration compared to non-Indigenous people, and that this can partially be explained by social experiences prior-To-prison. However, after conducting multivariate analyses, the association between prison life-experiences and reincarceration was attenuated to the null. The implications for policy and theory are discussed.
Time Dependency of Chemodiversity and Biosynthetic Pathways: An LC-MS Metabolomic Study of Marine-Sourced Penicillium

This work aimed at studying metabolome variations of marine fungal strains along their growth to highlight the importance of the parameter “time” for new natural products discovery. An untargeted time-scale metabolomic study has been performed on two different marine-derived Penicillium strains. They were cultivated for 18 days and their crude extracts were analyzed by HPLC-DAD-HRMS (High Performance Liquid Chromatography-Diode Array Detector-High Resolution Mass Spectrometry) each day. With the example of griseofulvin biosynthesis, a pathway shared by both strains, this work provides a new approach to study biosynthetic pathway regulations, which could be applied to other metabolites and more particularly new ones. Moreover, the results of this study emphasize the interest of such an approach for the discovery of new chemical entities. In particular, at every harvesting time, previously undetected features were observed in the LC-MS (Liquid Chromatography-Mass Spectrometry) data. Therefore, harvesting times for metabolite extraction should be performed at different time points to access the hidden metabolome.
Deterministic dependency parsing of unrestricted English text Master ’ s Thesis

This master's thesis describes a deterministic dependency parser using a memory-based learning approach to parse unrestricted English text. A converter transforms the Wall Street Journal section of the Penn Treebank to an intermediate dependency representation which is used to train the parser using the TiMBL (Daelemans, Zavrel, Sloot, & Bosch, 2003) library. The output of the parser is labeled dependency graphs, using as arc labels a combination of bracket labels and grammatical role labels constructed from the Penn Treebank II annotation scheme (Marcus, Kim, et al., 1994). The parser reaches a maximum unlabeled attachment score of 87.1% and produces labeled dependency graphs with an accuracy of of 86.0% with the correct head and arc label recognised. The results are close to the state of the art in dependency parsing, and the parser also outputs arc labels that other parsers do not produce.
Géneros de lectura preferidos por los alumnos extremeños. Datos y análisis

The abundant research work on reading habits in Spain shows a disaggregation of municipalities and cities with little geographical sample of their results. In this way, taking as a starting point the previous studies of 2007 for Extremadura carried out by the German Sanchez Ruiperez Foundation, our work intends to update and extend the data of reading habits by applying them to the contemporary geographical reality and the degree of rurality of the region. Thus, in the context of a survey focused on reading habits in Extremadura responded by 9.212 students of all educational levels (Primary, Secondary, University) during the year 2017, this study exposes and specifically analyzes the data obtained on the preferred genres according to the educational level and sex of participants. The study is completed with the data to the CDU of the public and school libraries of Extremadura. As a relevant result, the literary genres of mystery and adventure are, in general, the most demanded at all levels of education. In the Senior College, history is preferred. More women than men prefer romantic novels. The lyric genre is not very popular in terms of reading preferences among any of the educational levels analyzed.
On the Secure Degrees of Freedom for Two-User MIMO Interference Channel With a Cooperative Jammer

We investigate the secure degrees of freedom (SDoF) for the two-user multiple-input multiple-output (MIMO) interference channel with a cooperative jammer, where each transmitter is equipped with <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math></inline-formula> antennas, each receiver is equipped with <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> antennas, and the jammer is equipped with <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> antennas. For each one of the four regions of parameters <inline-formula> <tex-math notation="LaTeX">$(M,N)$ </tex-math></inline-formula>, i.e., <inline-formula> <tex-math notation="LaTeX">$1\leq \frac {N}{M} < 2$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\frac {N}{M} \geq 2$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\frac {1}{2}\le \frac {N}{M}< 1$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$\frac {N}{M}< \frac {1}{2}$ </tex-math></inline-formula>, we provide both upper and lower bounds on the SDoF of the system which depend on the value of <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>. In particular, the upper bound is the union of three upper bounds that are based on the DoF of the MIMO interference channel, the SDoF of the MIMO wiretap channel with a jammer, and the <italic>Secrecy Penalty Lemma</italic> and the <italic>Role of A Helper Lemma</italic> for the interference channel, respectively. For the lower bound, we provide achievability schemes that make use of signal alignment, zero forcing, cooperative jamming, and multi-slot transmission. Our results indicate that the SDoF of the system under consideration improves with respect to the no jammer case in all regimes, especially when <inline-formula> <tex-math notation="LaTeX">$N>2M$ </tex-math></inline-formula>. Moreover, we quantify the SDoF gap of the network and reveal it as a function of the number of the antennas. For large <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>, the upper and lower bounds coincide in all regimes, and the exact SDoF can be achieved.
Social network characteristics and cognitive functioning in ethnically diverse older adults: The role of network size and composition.

OBJECTIVES Social engagement has been linked to preserved cognitive functioning in later life. While social engagement is often operationalized as social network size, social networks can vary not only in size, but also in composition. Previous work has found that having a greater proportion of family in a network is associated with worse socioemotional and cognitive outcomes compared to having a greater proportion of friends. In addition, social resources may differentially affect cognition in minority groups at higher risk of cognitive impairment. Therefore, the current study aimed to examine racial/ethnic differences in the relationship between network characteristics and cognition. METHOD Ethnically and racially diverse older adults from the Washington Heights-Inwood Columbia Aging Project (n = 548, 60-93 years) were used. Multiple regressions were conducted to examine the effects of ethnicity/race, size, composition, and their interaction on global cognition. RESULTS Analyses revealed that networks with a greater proportion of friends were associated with better global cognition than networks with a greater proportion of family. Additionally, larger social network size was only associated with better global cognition among individuals who had a greater proportion of friends in their networks. Race further moderated this effect, as it was limited to African Americans. DISCUSSION Overall, these findings highlight the importance of looking at both composition and size when examining the relationship between social network characteristics and global cognition. These findings suggest that friendships may be especially important and further suggest that social network characteristics and cognitive aging may be more strongly related among African Americans. (PsycINFO Database Record (c) 2019 APA, all rights reserved).