Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Career Mobility and Human Activity Patterns for Job Change Analysis

Discovering the determinants of job change and predicting the individual job change occasion are essential approaches for understanding the professional careers of human. However, with the evolution of labor division and globalization, modern careers become more self-directed and dynamic, which makes job change occasion difficult to predict. Fortunately, the emerging online professional networks and location-based social networks provide a large amount of work experience and daily activity records of individuals around the world, which open a venue for the accurate job change analysis. Discovering the determinants of job change and predicting the individual job change occasion are essential approaches for understanding the professional careers of human. However, with the evolution of labor division and globalization, modern careers become more self-directed and dynamic, which makes job change occasion difficult to predict. Fortunately, the emerging online professional networks and location-based social networks provide a large amount of work experience and daily activity records of individuals around the world, which open a venue for the accurate job change analysis. In this paper, we aggregate the work experiences and check-in records of individuals to model the job change motivations and correlations between professional and daily life. Specifically, we attempt to reveal to what extent the job change occasion can be predicted based on the career mobility and daily activity patterns at the individual level. Following the classical theory of job mobility determinants, we extract and quantify the environmental conditions and personal preference of careers from the perspective of industrial/regional constraints and personal interests/demands. Besides, we investigate the factors of activity patterns which may be correlated with job change as cause and effect results. First, we quantify the consumption diversity, sentiment fluctuation and geographic movement from the check-in records as indicators. Then, we leverage the center-bias level assignment and multi-point snapshot mechanism to capture historical and parallel migration. Finally, experimental results based on a large real-world dataset show that the job change occasions can be accurately predicted with the aggregated factors.
Experimental studies of streaming potential and high frequency seismoelectric conversion in porous samples

Streaming potential across a porous medium is induced by a fluid flow due to an electric double layer between a solid and a fluid. When an acoustic wave propagates through a porous medium, the wave pressure generates a relative movement between the solid and the fluid. The moving charge in the fluid induces an electric field due to the seismoelectric conversion. In order to investigate the streaming potential and the seismoelectric conversion in the same rock sample, we conduct quantitative measurements with cylindrical and plate samples of Berea sandstone 500 saturated by NaCl solutions with different conductivities. We measure the electric voltage (streaming potential) across a cylinder sample in solutions with different conductivities and under different pressures. In a solution container, we measure the seismoelectric signals induced by acoustic waves at different frequencies and solution conductivities. We calculate the quantitative coupling coefficients of the seismoelectric conversion at DC and high frequencies with samples saturated by solutions with different conductivities. According to the streaming potentials, we calculate the theoretical coupling coefficients at the DC and high frequency range. The experimental and theoretical results are compared quantitatively and their differences are discussed.
The expectation and sparse maximization algorithm

In recent years, many sparse estimation methods, also known as compressed sensing, have been developed. However, most of these methods presume that the measurement matrix is completely known. We develop a new blind maximum likelihood method — the expectation-sparse-maximization (ESpaM) algorithm — for models where the measurement matrix is the product of one unknown and one known matrix. This method is a variant of the expectation-maximization algorithm to deal with the resulting problem that the maximization step is no longer unique. The ESpaM algorithm is justified theoretically. We present as well numerical results for two concrete examples of blind channel identification in digital communications, a doubly-selective channel model and linear time invariant sparse channel model.
PARALLEL GUIDED LOCAL SEARCH AND SOME PRELIMINARY EXPERIMENTAL RESULTS FOR CONTINUOUS OPTIMIZATION

This paper proposes a Parallel Guided Local Search (PGLS) framework for continuous optimization. In PGLS, several guided local search (GLS) procedures (agents) are run for solving the optimization problem. The agents exchange information for speeding up the search. For example, the information exchanged could be knowledge about the landscape obtained by the agents. The proposed algorithm is applied to continuous optimization problems. The preliminary experimental results show that the algorithm is very promising .
Freedom's Daughter : Letters Between Indira Gandhi and Jawaharlal Nehru 1922-39

This is a compilation of letters between Jawaharial Nehru and his daughter Indira Gandhi, from the time she was seven until 1940. The editor of this volume is the wife of Rajiv Gandhi, the present prime minister of India, and was the daughter-in-law of Indira Gandhi. They begin with his postcards to his baby daughter and her first attempts to write back at the age of six. The letters also cover her travels to Europe and time at Oxford university, while his include advice on politics, and descriptions of his time in prison.
Computer vision on the GPU — Tools, algorithms and frameworks

In recent years, graphic processing units (GPUs) have emerged as an attractive alternative to CPUs for implementing algorithms in a wide range of applications. The focus of this work is to give an overview about the current state on using GPUs for computer vision. We describe briefly tools like CUDA, OpenCL and OpenACC used for GPU programming and their respective advantages / disadvantages. We give information about the current state of the art for implementing important computer vision algorithms like optical flow, KLT feature point tracking and SIFT descriptor extraction efficiently on the GPU. Finally, we describe open source frameworks which either provide GPU-accelerated computer vision algorithms or which are helpful for porting algorithms to the GPU.
High performance & real-time traffic analysis in large scale networks

Due to the massive dataset, real-time traffic analysis in large scale networks is becoming increasingly challenging today. The paper proposes an architecture to process huge data flows with high performance. The key point is the design of the data center. Our performance evaluation shows that the research of this paper could meet the needs of traffic monitoring requirement and produce good scalability in large scale networks.
Bloggers' Social Presence Framing and Blog Visitors' Responses

Recently, blogs boom with easy publishing tools to lager popularity on the internet. And with broad links, blogs become important information sources. Some enterprises even have chosen blogs as a channel for products/services promotion. Bloggers introduce news and goods to blog visitors and present related information. However, when receiving diversely framed information, people react differently. According to the social presence perspective, communications perceived of higher social presence are easier to make people interpersonally impressed, and are more pervasive. Therefore, this study clarifies the impact of bloggers’ social presence framing on the replies of blog visitors. This study adopted content analysis to analyze bloggers’ posts and blog visitors’ reply posts on popular websites. After content analysis, the regression results showed that bloggers’ social presence framing attracted larger popularity of blog visitors’ replies and affected their positive reply attitude toward specific product/service in positive events. Besides, the framings both showed significantly positive impact in goods of search type and experience type.
P.Ravi Kiran,

Lossless compression of encrypted sources can be achieved through Slepian-Wolf coding. For encrypted real-world sources such as images, the key to improve the compression efficiency is how the source dependency is exploited. Approaches in the literature that make use of Markov properties in the Slepian-Wolf decoder do not work well for grayscale images. In this paper, we propose a resolution progressive compression scheme which compresses an encrypted image progressively in resolution, such that the decoder can observe a low-resolution version of the image, study local statistics based on it, and use the statistics to decode the next resolution level. Good performance is observed both theoretically and experimentally. I. Introduction Conventionally in secure transmission of redundant data, as illustrated in fig. 1(a), the data is usually first compressed and then encrypted at the sender side; to recover the data at the receiver side, decryption is performed prior to decompression. However, in some application scenarios, this conventional diagram needs to be revisited. Let us consider the following case (fig. 1(b)). Suppose Alice needs to send information to Bob, while Charlie is the network provider. Alice wants to keep the information confidential to Charlie, however the resources that she has is too limited to perform compression. So Alice just encrypts the data using a simple cipher and gets it forwarded. Charlie, as the network provider, always has the interest to reduce the data rate. A practical system to compress encrypted data is also proposed. For example, suppose the plaintext X is an Independent and Identically Distributed (I.I.D.) source, and Alice uses a stream cipher (e.g., RC4 or DES in CFB mode) as the encryption function to generate the cipher text Y: Y = X K (1) Where denotes the bit-wise exclusive OR operation, and K is the key stream. Charlie gets Y without knowing K. He will encode Y through random binning: each sequence of n samples (denoted in Y
Axon Sorting within the Spinal Cord Marginal Zone via Robo-Mediated Inhibition of N-Cadherin Controls Spinocerebellar Tract Formation

The axons of spinal projection neurons transmit sensory information to the brain by ascending within highly organized longitudinal tracts. However, the molecular mechanisms that control the sorting of these axons within the spinal cord and their directed growth to poorly defined targets are not understood. Here, we show that an interplay between Robo and the cell adhesion molecule, N-cadherin, sorts spinal commissural axons into appropriate longitudinal tracts within the spinal cord, and thereby facilitates their brain targeting. Specifically, we show that d1 and d2 spinal commissural axons join the lateral funiculus within the spinal cord and target the cerebellum in chick embryos, and that these axons contribute to the spinocerebellar projection in transgenic reporter mice. Disabling Robo signaling or overexpressing N-cadherin on these axons prevents the formation of the lateral funiculus and the spinocerebellar tract, and simultaneously perturbing Robo and N-cadherin function rescues both phenotypes in chick embryos. Consistent with these observations, disabling Robo function in conditional N-cadherin knock-out mice results in a wild-type-like lateral funiculus. Together, these findings suggest that spinal projection axons must be sorted into distinct longitudinal tracts within the spinal cord proper to project to their brain targets.
Does gluten free diet have more implications than treatment of celiac disease?

Aim: This study was aimed to evaluate symptomatic as well as histopathologic response to GFD in patients with gluten-sensitive enteropathies including celiac disease, lymphocytic duodenosis and non-specific duodenitis. Background: Gluten-free diet (GFD) is the main treatment of celiac disease. However, its impact on other disorders of gluten sensitivity spectrum is less clear. Patients and methods: In a prospective observational study in Modarres hospital Tehran, Iran, 35 patients with chronic manifestations including low BMI, diarrhea, greasy stool and bloating were evaluated using serology for anti-tTG, endoscopy and histopathology. Patients were categorized in three diagnostic groups accordingly including celiac disease (CD), lymphocytic doudenosis (LD) and non-specific duodenitis (NSD). All patients were put on a GFD for 6 months, and subjective symptomatic response, serology, endoscopy and histopathologic tests were repeated and compared with baselines and among groups. Results: Of the total 35 patients, 5 had CD (14.3%), 9 had LD (25.7%) and 21 (60%) had NSD. Bloating was the most common symptom followed by diarrhea. Majority of patients (80%) had low BMI. All symptoms alleviated following a GFD but bloating was the only significant one. A significant increase was found in total mean BMI (17.3±0.7 v.s. 17.9±0.9). Histopathologic examination showed a complete resolution in 48.5% (n=17) patients, 10 in NSD group, 4 in LD group and 3 in CD group. Final prevalence of gluten-sensitive enteropathy (LD and NSD cases that responded to GFD) was 46.6%. Conclusion: GFD may have more implications other than celiac disease. Other gluten-sensitive enteropathies, like LD and NSD, might also respond to this treatment particularly in patients with low BMI.
The tale of protein S and C4b-binding protein, a story of affection

Thromb Haemost 2007; 98: 90–96 For Thrombosis and Haemostasis’ 50 th birthday I have been invited to write about a favorite topic, focusing not only on the scientific aspects but also including some historical and personal aspects. I have chosen to write about vitamin K-dependent protein S describing not only how 30 years ago I got involved in studying the molecule but also report what the present knowledge is. Vitamin K-dependent protein S is indeed a fascinating molecule with multiple functions in different biological systems. The protein has been of special interest to me during most of my scientific career, and the following review is a personal tribute to the molecule. Protein S has lead me on my scientific journey for many years, and I hope I will have a chance to continue exploring its many secrets. So, how did it all begin?
Do We Need Better Predictions to Adapt to a Changing Climate

Many scientists have called for a substantial new investment in climate modeling to increase the accuracy, precision, and reliability of climate predictions. Such investments are often justified by asserting that failure to improve predictions will prevent society from adapting successfully to changing climate. This Forum questions these claims, suggests limits to predictability, and argues that society can (and indeed must) make effective adaptation decisions in the absence of accurate and precise climate predictions.
Combining Attribute with Geometry for Automated Generalisation and Schematisation

Map Generalization is the process by which coarse scale maps are to be derived from fine scale maps, balancing the amount of real-world information with visual confusion. This requires the use of operations such as simplification, selection, displacement and amalgamation of features that are performed subsequent to scale change. Map schematization can be regarded as a specific type of map generalization, focusing more on the readability, the purpose and the user context, including the visualisation device, for example the London Tube map. Advanced generalization functionality derived from the literature is now being found in commercial GIS software, but many research challenges remain. Recently, focusing on the attribute values of the geometrical objects, some research has been on thematic maps, such as demographic maps, soil maps, land cover and land use maps. For these situations, algorithms need to consider ontology associated with the theme and/or statistical clustering methods. What is happening to the attributes when performing a geometrical generalization or schematization of a map with polygons in which some attributes describe their semantics? Conversely what is happening to the geometries when, some kind of generalization based on attribute values and their spatial distribution, is performed? For instance, these questions concern sequential approaches, implying that one generalization either geometrical or attribute based, will force another generalization on the other characteristic. Investigating how to use the two main generalization steps in a more integrated approach will be the ultimate goal of this paper. Examples from land cover dataset and census dataset are used for this study.
Progress in endoscopic imaging of gastrointestinal tumors.

STATE OF THE ART New technologies in the form of high-magnification or "zoom" endoscopy complemented by chromoscopic agents or Narrow Band Imaging permit early detection of neoplastic lesions, particularly flat and depressed types. Detailed characteristics of the mucosal surface can be obtained, enabling an in vivo "optical biopsy" to make an instant diagnosis at endoscopy, previously possible only by using histological or cytological analysis. Advances in fiber optics, light sources, detectors, and molecular biology have led to the development of several novel methods for tissue evaluation in situ. PERSPECTIVES Promising imaging techniques include fluorescence endoscopy, optical coherence tomography, confocal microendoscopy, molecular imaging, and light scattering and Raman spectroscopy. CONCLUSIONS These techniques probably are able to replace conventional biopsy in the near future, but the endoscopists should become increasingly more familiar with histopathologic findings.
Trafficking of AMPA Receptors at Plasma Membranes of Hippocampal Neurons

The number of AMPA receptors at synapses depends on receptor cycling. Because receptors diffuse rapidly in plasma membranes, their exocytosis and endocytosis need not occur near synapses. Here, pre-embedding immunogold electron microscopy is applied to dissociated rat hippocampal cultures to provide sensitive, high-resolution snapshots of the distribution of surface AMPA receptors in spines, dendrites, and cell bodies that will be informative about trafficking of AMPA receptors. The density of the label for GluR2 varies, but is consistent throughout cell body and dendrites in each individual neuron, except at postsynaptic densities (PSDs), where it is typically higher. Glutamate receptor 2 (GluR2) labels at PSDs significantly increase after synaptic activation by glycine treatment and increase further upon depolarization by high K+. Islands of densely packed labels have consistent size and density but vary in frequency under different experimental conditions. These patches of label, which occur on plasma membranes of cell bodies and dendrites but not near PSDs, are taken to be the aftermath of exocytosis of AMPA receptors. A subpopulation of clathrin-coated pits in cell bodies and dendrites label for GluR2, and the number and amount of label in individual pits increase after NMDA treatment. Coated pits near synapses typically lack GluR2 label under basal conditions, but ∼40% of peri-PSD pits label for GluR2 after NMDA treatment. Thus, exocytosis and endocytosis of AMPA receptors occur mainly at extrasynaptic locations on cell bodies and dendrites. Receptors are not preferentially exocytosed near PSDs, but may be removed via endocytosis at peri-PSD locations after activation of NMDA receptors.
Capacity of two-relay diamond networks with rate-limited links to the relays and a binary adder multiple access channel

A class of two-relay diamond networks is studied where the broadcast component is modelled by two independent bit-pipes and the multiple-access component is memoryless. A new upper is derived on the capacity which generalizes bounding techniques of Ozarow for the Gaussian multiple description problem (1981) and Kang and Liu for the Gaussian diamond network (2011). For binary adder MACs, the upper bound establishes the capacity for all ranges of bit-pipe capacities.
Assessment of iron status among preschool children (6 to 59 months) with and without malaria in Western Province, Kenya

Introduction Iron deficiency is a major public health concern. Globally, iron deficiency ranks number 9 and is responsible for about 60% of all anemia cases among preschool children. In Africa iron deficiency is 43-52% while in Kenya, children under 5 years constitute the largest burden with 69% of them being deficient. There is limited iron deficiency data in Kenya. This study determined haemoglobin levels, serum ferritin levels, nutritional status and P.falciparum malaria infection in preschool children. Methods A household cross sectional study was undertaken among 125 preschoolers in Western province, drawn from 37 clusters. Systematic random sampling was used for sample selection. Data was collected using pretested structured questionnaires, entered in Microsoft package. Data analysis was done in Statistical package for social science (SPSS) version 20 using bivariate and multivariate logistic regression and differences were considered significant at P < 0.05. Results The prevalence of iron deficiency (Serum ferritin <12mg/l), anaemia (Hb < 110g/l) and plasmodium falciparum malaria were 20.8%, 25% and 6.8% respectively. There was a significant association between iron deficiency and anaemia (OR = 3.43, 95% CI: 1.33-8.84, p = 0.008). A preschool child with anaemia was 3.43 times likely to be iron deficient compared to a preschool child who was not anaemic. Conclusion Iron deficiency, anaemia and plasmodium falciparum malaria was prevalent among preschool children. The findings revealed a significant association between iron deficiency and anaemia. Therefore effective interventions to improve iron status will have large health benefits by greatly reducing anaemia in preschool children.
Merging dynamic address autoconfiguration and security key protocols in mobile ad hoc networks

Mobile ad hoc network (MANET) is formed by collaboration of nodes characterized by having the same capabilities whereas neither central infrastructure nor central coordination is required. Notwithstanding the communication between nodes in MANET requires each node to have a unique identity (IP-address), many critical networks require some level of security in which all security principles require the node to have a security key. A tree-based dynamic address autoconfiguration protocol (TDAAP) is found to be one of the best protocols for address assignment based on network throughput and delay. MANET security ideally takes place during the design phase of the routing module. In this paper, we propose a novel scheme that merges the process of assigning IP addresses and security keys to the nodes in MANET using one protocol such that as soon as a node enters the network, it will be assigned an IP address and security key. To the best of our knowledge, no single protocol provides both IP addresses and security keys for MANET nodes. The results of the proposed method, which is based on T-DAAP, show significant reductions in the control packets and packet delay. Additionally, it provides not only efficient security to the nodes from the first moment they join the network, but also secure delivery of IP addresses and security keys to the network nodes.