Miracle-dz/UniFAR-FTUs huggingface dataset:
SURE INDEPENDENCE SCREENING IN GENERALIZED LINEAR MODELS WITH NP-DIMENSIONALITY1

Ultrahigh-dimensional variable selection plays an increasingly important role in contemporary scientific discoveries and statistical research. Among others, Fan and Lv [J. R. Stat. Soc. Ser. B Stat. Methodol. 70 (2008) 849–911] propose an independent screening framework by ranking the marginal correlations. They showed that the correlation ranking procedure possesses a sure independence screening property within the context of the linear model with Gaussian covariates and responses. In this paper, we propose a more general version of the independent learning with ranking the maximum marginal likelihood estimates or the maximum marginal likelihood itself in generalized linear models. We show that the proposed methods, with Fan and Lv [J. R. Stat. Soc. Ser. B Stat. Methodol. 70 (2008) 849–911] as a very special case, also possess the sure screening property with vanishing false selection rate. The conditions under which the independence learning possesses a sure screening is surprisingly simple. This justifies the applicability of such a simple method in a wide spectrum. We quantify explicitly the extent to which the dimensionality can be reduced by independence screening, which depends on the interactions of the covariance matrix of covariates and true parameters. Simulation studies are used to illustrate the utility of the proposed approaches. In addition, we establish an exponential inequality for the quasi-maximum likelihood estimator which is useful for high-dimensional statistical learning.
AIS Electronic Library (AISeL)

Following the fast growth of social networking sites (SNS) such as Facebook, Twitter and LinkedIn in the cyber world recently, social commerce has become an important emerging issue on the Internet. Researchers have studied not only online factors but also offline factors, according to the offline-to-online consumer-behavior model. Hence, this study applied approaches to social anxiety, online social interaction and online social support to comprehend the influences of social commerce intentions. After the research survey collected data from SNS (Facebook) users for one month, the researcher analyzed the data and made several findings. First, social anxiety positively moderates the relationship between online social support and social commerce intention. Second, online social interaction directly and indirectly affects social commerce intention through online social support. Theoretical contributions and managerial implications are also discussed, providing several future research directions and suggestions for scholars and SNS operators, respectively
Global Warming Mitigation through the Local Action of Environmental Education in the Plantation Area of Palm Oil

Oil palm is a strategic mainstay product with a crucial role in the national economy, and it can also be carbon sink to mitigate the negative impact of global warming when managed in environmentally friendly manner. Therefore, management and surrounding community need to have an understanding of the environment, and pro-environmental attitude and behaviour. Action research, which aimed at mitigating global warming through the local action of environmental education (EE), was conducted toward oil palm plantation employee and surrounding community. The EE programme was expected to be able to shape understanding and pro-environmental attitude and behaviour in the target group. Rapid observation and interview were carried out in collecting data for EE programme development. A needs assessment was conducted in developing the EE subject; based on local environmental problems and gap of target group’s perception of the problems. Global warming-related environmental problems found in the location included air temperature increase, drought and difficulty in determining planting season. Spatial analysis based on 1989 and 2014 satellite imagery showed a decrease of the water body, tree vegetated land and open areas, and an increase in non-tree vegetated land and built land, accompanied by an increase in areas with higher temperature range. Both employees and the community had a good knowledge of the environment, but less in conservation. The environmental education provided for them had been able to increase their perception on environmental conservation. However, repetition and intensive assistance are still needed to strengthen the perception
Proceedings of Hotos Ix: the 9th Workshop on Hot Topics in Operating Systems Hotos Ix: the 9th Workshop on Hot Topics in Operating Systems Post: a Secure, Resilient, Cooperative Messaging System *

POST is a decentralized messaging infrastructure that supports a wide range of collaborative applications, including electronic mail, instant messaging, chat, news, shared calendars and whiteboards. POST is highly resilient , secure, scalable and does not rely on dedicated servers. Instead, POST is built upon a peer-to-peer (p2p) overlay network, consisting of participants' desk-top computers. POST offers three simple and general services: (i) secure, single-copy message storage, (ii) metadata based on single-writer logs, and (iii) event notification. We sketch POST's basic messaging infrastructure and show how POST can be used to construct a cooperative , secure email service called ePOST.
Delay-fault diagnosis using timing information

In modern technologies, process variations can be quite substantial, often causing design timing failures. It is essential that those errors be correctly and quickly diagnosed. Unfortunately, the resolution of the existing delay-fault diagnostic methodologies is still unsatisfactory. In this paper, the feasibility of using the circuit timing information to guide the delay-fault diagnosis is investigated. A novel and efficient diagnostic approach based on the delay window propagation (DWP) is proposed to achieve significantly better diagnostic results than those of an existing delay-fault diagnostic commercial tool. Besides locating the source of the timing errors, for each identified candidate the proposed method determines the most probable delay defect size. The experimental results indicate that the new method diagnoses timing faults with very good resolution.
Oracles and Queries That Are Suucient for Exact Learning

We show that the class of all circuits is exactly learnable in randomized expected polynomial time using weak subset and weak superset queries. This is a consequence of the following result which we consider to be of independent interest: circuits are exactly learnable in randomized expected polynomial time with equivalence queries and the aid of an NP-oracle. We also show that circuits are exactly learnable in determin-istic polynomial time with equivalence queries and a p 3-oracle. The hypothesis class for the above learning algorithms is the class of circuits of larger|but polynomially related|size. Also, the algorithms can be adapted to learn the class of DNF formulas with hypothesis class consisting of depth-3 ^-_-^ formulas (by the work of Angluin A90], this is optimal in the sense that the hypothesis class cannot be reduced to DNF formulas, i.e. depth-2 _-^ formulas). We also investigate the power of an NP-oracle in the context of learning with membership queries. We show that there are deterministic learning algorithms that use membership queries and an NP-oracle to learn: monotone boolean functions in time polynomial in the DNF size and CNF size of the target formula; and the class of O(log n)-DNF\O(log n)-CNF formulas in time polynomial in n. We also show that, with an NP-oracle and membership queries, there is a randomized expected polynomial-time algorithm that learns any class that is learnable from membership queries with unlimited computational power. Using similar techniques, we show the following both for membership and for equivalence queries (when the hypotheses allowed are precisely the concepts in the class): any class learnable with unbounded computational power is learnable in determin-istic polynomial time with a p 3-oracle. Furthermore, we identify the combinatorial properties that completely determine learnability in this information-theoretic sense. Finally we point out a consequence of our result in structural complexity theory showing that if every NP set has polynomial-size circuits then the polynomial hierarchy collapses to ZPP NP .
AIS Electronic

In the present competitive organizational environment more organizations are implementing knowledge management initiatives to gain strategic advantage. One such initiative is that of implementing electronic knowledge repositories (EKR) which often leads to a rapid increase in the quantity of information employees must process daily, raising concerns of employees being overloaded. This is especially true for current EKRs using distributive technology, enabling customizable individual workspaces which can result in loose knowledge structures. This paper identifies a new type of information overload (IO), extending the concept as occurring in both knowledge seekers and contributors and uses cognitive dissonance theory to provide evidence that IO can change employees’ perception of EKR usage. This research paper provides the first empirical evidence that overload has no sufficient affect on EKR continuance intention directly, but has a significant negative affect on the two main success measures: Perceived usefulness and satisfaction of the system.
A Multivariate Analysis on the Assessment of Risk Factors Associated with Infections and Transmission of Schistosomiasis Haematobium in Some Selected Areas of North-Western, Nigeria

Study aimed at determining prevalenceassessment of risk factors of urinary Schistosomiasis in some selected areas of Zamfara state, Nigeria. Methodsa parasitological filtration technique was used toexamined urine samples. Data were entered and analyzed using SPSS version 20.0 statistical software. Results: Of the 606 participants, 374 (61.7%) were positive for Schistosoma haematobium infections. Univariate and multiple logistic regression analysis were used to assess associated risk factor for Schistosoma haematobium infections. Age group 10-14 and 5-9 years are 1.24 times [OR Adj. 95% CI, 1.65, 7.23 P-value 0.001] and 1.23 times [OR Adj. 2.14, 5.51; P-value 0.001] as compared to older age. There are the needs to evaluate other potential risk factors before finding lasting and effective methods that can be used and sustained by the Communities in order to prevent or control the disease in these endemic settings.
Some Mechanical Properties of SiC-Treated Recycled HDPE

This paper reports the mechanical properties of recycled High Density Polyethylene (reHDPE) blended with silicon carbide (SiC). Co mposite of SiC-reHDPE were prepared by blending SiC powder with reHDPE in a laboratory-sized mixer (Brabender Plasticorder 350E). Blend ratio of SiC/reHDPE was varied fro m 0/ 100, 5/ 95, 10/ 90 and 15/85. After mixing, some of the samples were shaped in a compression mould for tensile test specimens while other were extruded to diameter 15 mm rods fro m which Izod impact test specimens were mach ined. The prepared samp les were then tested for tensile and impact strength. Results obtained show that the addition of SiC to reHDPE g ives rise to improved tensile and impact strength, greater modulus of elasticity and increased stiffness. The brittleness however increased and ductility reduced. It was concluded that addition of SiC in the proportion of 5% to 15% improved some mechanical properties of reHDPE.
AIS Electronic

Companies can use information technology not only to conduct transactions with their customers but also to provide them with valuable functionalities before, during, and after those transactions, such as recommendations on what products to buy or to track product delivery. The e-Business environment provides a particularly fertile ground for leveraging IT resources to provide functionality. Although the general perceptions of online service quality and self-service technologies have been extensively studied, there has not yet been a through investigation into the specific functionality that IT can provide for delivering services that supplement a core product offering. This paper examines the role of IT as a service delivery mechanism. Drawing on a customer service life cycle framework and the concept of supplementary service, we propose and operationalize the construct of functionality: the broad array of IT applications that can enhance a customer’s experience with a company beyond just the core offering. Functionality focuses on specific IT-based service tools as opposed to broad perceptions of service (e.g., service quality) and so targets a key IT artifact. A cross-sectional survey of current e-Business customers was used to validate the multidimensional functionality construct as well as to test a theoretical model relating functionality to the consequences of satisfaction, perceived website usefulness, and continued website usage. The results support that functionality is not only a conceptually valid construct but also one that is highly regarded by e-Business customers.
MIPS: a database for genomes and protein sequences

The Munich Information Center for Protein Sequences (MIPS-GSF), Martinsried, near Munich, Germany, continues its longstanding tradition to develop and maintain high quality curated genome databases. In addition, efforts have been intensified to cover the wealth of complete genome sequences in a systematic, comprehensive form. Bioinformatics, supporting national as well as European sequencing and functional analysis projects, has resulted in several up-to-date genome-oriented databases. This report describes growing databases reflecting the progress of sequencing the Arabidopsis thaliana (MATDB) and Neurospora crassa genomes (MNCDB), the yeast genome database (MYGD) extended by functional analysis data, the database of annotated human EST-clusters (HIB) and the database of the complete cDNA sequences from the DHGP (German Human Genome Project). It also contains information on the up-to-date database of complete genomes (PEDANT), the classification of protein sequences (ProtFam) and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database. These databases can be accessed through the MIPS WWW server (http://www. mips.biochem.mpg.de ).
SPHT: Scalable Persistent Hardware Transactions

With the emergence of byte-addressable Persistent Memory (PM), a number of works have recently addressed the problem of how to implement persistent transactional memory using off-the-shelf hardware transactional memory systems. Using Intel Optane DC PM, we show, for the first time in the literature, experimental results highlighting several scalability bottlenecks of state of the art approaches, which so far have only been evaluated via PM emulation. We tackle these limitations by proposing SPHT (Scalable Persistent Hardware Transactions), an innovative Persistent Transactional Memory that exploits a set of novel mechanisms aimed at enhancing scalability both during transaction processing and recovery. We show that SPHT enhances throughput by up to 2.6× on STAMP and achieves speedups of up to 2.8× in the log replay phase vs. state of the art solutions.
The neglected Indo‐Gangetic Plains low‐level jet and its importance for moisture transport and precipitation during the peak summer monsoon

Accurately simulating the Indo‐Asian monsoon (IAM) using atmospheric general circulation models (AGCMs) is challenging but crucial. This study uses reanalysis products European Centre of Medium‐Range Forecast Interim reanalysis, Japanese Reanalysis year 55, and High Asia Reanalysis to highlight an easterly, low‐level barrier jet along the Indo‐Gangetic Plain (referred from here as IG LLJ), which we identify as the primary moisture transport mechanism for the northeastern branch of the IAM. We show that the NCAR family of AGCMs (Community Atmospheric Model (CAM)) does not capture this circulation until 1/2° or greater spatial horizontal resolution is used. The IG LLJ develops due to a persistent low‐pressure system centered over the Ganges basin and is enhanced by the Himalayas. Using diabatic heating rates and the moist Froude number as diagnostics, we find that in CAM, this branch of the IAM displays two different dynamical regimes as a function of resolution. At low resolution, the atmosphere near the Himalayas is statically unstable, diabatic heating is strong, and the moisture flow is southwesterly from the Arabian Sea and moves over the terrain (unblocked). At high resolution, the moist static stability near the Himalayan Mountains is stable, diabatic heating is weak, and the flow primarily enters easterly from the Bay of Bengal and moves parallel to the terrain (blocked). During the summer season, the low‐resolution CAM is locked into the unblocked mode, which has serious implications for interpreting topography‐monsoon interactions. For a broader context, we demonstrate that more than half of the CMIP5 models do not capture the IG LLJ, which further highlights model‐data mismatch across the IAM region.
EXPLORING THE LIMITS OF ZERO-SHOT LEARNING-HOW LOW CAN YOU GO ? by HEMANTH DANDU

Zero-shot learning aims to classify input data into categories with zero training examples. The classification is performed by inferring unseen categories using visual data of seen categories and their relationships with unseen categories. Relationships are determined by using auxiliary data pertaining to categories such as attributes and semantics. Standard zero-shot learning techniques use a large number of seen categories to predict very few unseen categories while maintaining unified data splits and evaluation metrics. This has enabled the research community to advance notably towards formulating a standard benchmark zero-shot learning algorithm. However, the most substantial impact of zero-shot learning lies in enabling the prediction of a large number of unseen categories from very few seen categories within a specific domain. This permits the collection of training data for only a few previously seen categories, thereby mitigating the training data collection process significantly. In this thesis, we focus on the difficult problem of predicting a large number of unseen object categories from very few previously seen categories. We propose a framework that enables us to examine the limits of inferring several unseen object categories from very few previously seen object categories, i.e., the limits of zero-shot learning. In particular, we examine the functional dependence of the classification accuracy of unseen object classes on the number of previously seen classes. We also determine the minimum number of previously seen classes required to achieve pre-specified classification accuracy for the unseen classes on three standard zero-shot learning data sets, i.e., AWA2, CUB and SUN. Additionally, we compare the proposed framework with a prominent zero-shot learning technique on the aforementioned data sets and find that we achieve 21% higher accuracy on the AWA2 data set, 6% higher accuracy on the CUB data set, and comparable performance on the SUN data set while providing valuable insights into the unseen class inference process. INDEX WORDS: machine learning, image classification, zero-shot learning, transfer learning EXPLORING THE LIMITS OF ZERO-SHOT LEARNING HOW LOW CAN YOU GO ?
Spatial Gradients in Geomagnetic Storm Time Currents Observed by Swarm Multispacecraft Mission

This paper presents a comprehensive study of geomagnetic storm time currents using magnetic field recorded by multispacecraft polar‐orbiting mission, Swarm. During geomagnetic storm period, the magnetic field variations obtained after removing the internal geomagnetic field and quiet time contributions can be considered as a proxy for storm time currents and are found to follow the temporal profile of Dst index very closely. These variations at the equatorial crossings recorded by multiple‐spacecraft are used to estimate the Dst values and are found to have a good match with the ground‐based Dst index. The average deviation between these two is around 4–13%. We have estimated the asymmetry by taking the difference between the magnetic field variations at two local time sectors separated by 12 hr. The estimated asymmetry shows a good match with the AsyH‐index, especially when satellite traverses in the dawn‐dusk sector. In general, the magnetic field variations are stronger in the night‐to‐dusk sector than day‐to‐dawn sector, which could be due to the larger pressure‐gradients near night‐to‐dusk caused by ion movements. The important advantage of Swarm mission is that it provides an opportunity to investigate the longitudinal gradients in the storm time magnetic fields. It is observed that in general, the gradients are stronger during the main phase of the storm, centered near the equator with a latitudinal width of ~20–30° in both the hemispheres, and are supportive to the scenario of particle‐injection from the magnetotail. The stronger gradients are observed at higher latitudes (~40°) during the episodes of substorms and might be associated with the ionospheric/field‐aligned currents.
LANGUAGE IN INDIA Strength for Today and Bright Hope for Tomorrow Volume 12 : 11 November 2012

Two types of code switching have been recognized by most researchers: Intra-sentential code switching used for switches within sentences, and inter-sentential code switching for switches between sentences (Schmitt, 2004). India being a country with a rich merge of different languages, essentially most children across the country are exposed to two or more languages. Depending on the socioeconomic status and geographical location, children can be either sequential or simultaneous bilinguals or multi-linguals. Since inter-sentential and intra-sentential patterns of code switching are used by proficient adult speakers, it is necessary to see if the same patterns are seen in children also. 8 children, 4 males and 4 females within the age range of 1416 years participated in the study. They were instructed to describe a picture, depicting a farm, in two languages Kannada and English separately. The result revealed that code switching to English was present in all the participants (13 %), while speaking in Kannada. All the participants showed only intra-sentential switch. The location of the switch was on semantic
Geochemistry of the Bagnold dune field as observed by ChemCam and comparison with other aeolian deposits at Gale Crater

The Curiosity rover conducted the first field investigation of an active extraterrestrial dune. This study of the Bagnold dunes focuses on the ChemCam chemical results and also presents findings on the grain size distributions based on the ChemCam Remote Micro‐Imager and Mars Hand Lens Imager images. These active dunes are composed of grains that are mostly <250 μm. Their composition is overall similar to that of the aeolian deposits analyzed all along the traverse (“Aeolis Palus soils”). Nevertheless, the dunes contain less volatiles (Cl, H, and S) than the Aeolis Palus soils, which appear to be due to a lower content of volatile‐rich fine‐grained particles (<100 μm) or a lower content of volatile‐rich amorphous component, possibly as a result of (1) a lower level of chemical alteration, (2) the removal of an alteration rind at the surface of the grains during transport, (3) a lower degree of interaction with volcanic gases/aerosols, or (4) physical sorting that removed the smallest and most altered grains. Analyses of the >150 μm grain‐size dump piles have shown that coarser grains (150–250 μm) are enriched in the mafic elements Fe and Mn, suggesting a larger content in olivine compared to smaller grains (<150 μm) of the Bagnold dunes. Moreover, the chemistry of soils analyzed in the vicinity of the dunes indicates that they are similar to the dune material. All these observations suggest that the olivine content determined by X‐ray diffraction of the <150 μm grain‐size sample should be considered as a lower limit for the Bagnold dunes.