Miracle-dz/UniFAR-FTUs huggingface dataset:
SURVEY ON PERSONAL MOBILE COMMERCE PATTERN MINING AND PREDICTION

Data Mining refers to extracting or “mining” knowledge from large amounts of data. Due to a wide range of potential applications, research on mobile commerce has received a lot of interests from both of the industry and academia. Among them, one of the active topic areas is the mining and prediction of users’ mobile commerce behaviors. In this paper we focus on Personal Mobile Commerce Pattern Mining and Prediction. Pattern mining is used to discover patterns to represent the relations among items. Prediction is important in intelligent environment; it captures repetitive patterns or activities and also helps in automating activities. This paper gives a brief introduction to various algorithms and a detailed study has been performed. This paper conducts a theoretical analysis study on pattern mining and prediction in mobile commerce.
A systems level approach to perimeter protection

Effective perimeter protection mechanisms for industrial sites and critical infrastructure must contend with a large variety of potential threats as well as with the fact that normal site activity can be both complex and diverse. This paper documents the development of a system level approach capable of functioning under such challenging conditions. A multi-view tracking system is used to provide real-time site wide trajectories of all observed individuals. A Radar-based system is also used for tracking if and when camera coverage of various regions is not available. Track information is then analyzed with respect to articulated motion analysis, complex event analysis and normalcy analysis. In addition, object recognition is used to classify left behind objects using high resolution PTZ imagery. A real-time integrated version of this comprehensive approach to perimeter protection was deployed using a single standard off-the-shelf desktop computer.
Cost-effectiveness of multi-component interventions to prevent delirium in older people admitted to medical wards.

INTRODUCTION there is evidence to suggest that delirium incidence can be reduced in older people admitted to medical services using multi-component interventions that target delirium risk factors. The cost-effectiveness of this approach is uncertain. We therefore developed a novel cost-effectiveness model for delirium prevention. METHOD we compared multi-component delirium prevention intervention with usual care using a model based on a decision tree analysis. The model was used to estimate the incremental net monetary benefit (INMB). The robustness of the cost-effectiveness result was explored using deterministic and probabilistic sensitivity analyses. RESULT the multi-component prevention intervention was cost-effective when compared with usual care. It was associated with an INMB of £2,200 using a cost-effectiveness threshold of £20,000 per quality-adjusted life year (QALY). It remained cost-effective in the majority of the deterministic sensitivity analyses and was cost-effective in 96.8% of the simulations carried out in the probabilistic sensitivity analysis. DISCUSSION our analysis has shown convincingly that multi-component prevention interventions for delirium should be considered as a cost-effective health-care strategy for medically ill people admitted to hospital. It is an attractive intervention for health-care planners as they strive to reconfigure their services to better meet the needs of an ageing population.
Towards a prophylactic treatment of HPA-related foetal and neonatal alloimmune thrombocytopenia

Purpose of reviewThe purpose of the review is to show the similarities between haemolytic disease of the foetus and newborn (HDFN) and foetal and neonatal alloimmune thrombocytopenia (FNAIT) and to describe the background and challenges related to the current endeavours of developing a prophylaxis against FNAIT. The rationale for this prophylaxis is similar to the prophylaxis which has been used with great success for the last 40 years against RhD-associated HDFN. The idea is to prevent human platelet antigen (HPA)-1a-associated FNAIT by administering anti-HPA-1a immunoglobulin G (IgG) to nonimmunized HPA-1a-negative women after delivery of an HPA-1a-positive child. Recent findingsResults from a Norwegian screening and intervention study on FNAIT have indicated that about 75% of women with antibodies against HPA-1a are immunized in relation to delivery. This observation leads to the possibility of preventing HPA-1a-associated FNAIT in the same way as today's prevention of HDFN. Results from a proof-of-concept study in a murine FNAIT model have shown that the production of alloantibodies against platelets can be suppressed by administrating antiplatelet antibodies after the antigenic challenge. Even more interesting, the prophylactic antiplatelet antibodies could also significantly reduce the clinical consequences of FNAIT in this FNAIT model. SummaryThese novel observations have paved the way for clinical studies. Production and testing of anti-HPA-1a IgG for clinical use will be carried out by a European Union-funded consortium. If the results from the clinical trial are favourable, there is a chance that a medicinal product for the prevention of FNAIT will be available within this decade.
Path planning using Harmonic Functions and Probabilistic Cell Decomposition

Potential-field approaches based on harmonic functions have good path planning properties, although the explicit knowledge of the robot’s Configuration Space is required. To overcome this drawback, a combination with a random sampling scheme is proposed. Harmonic functions are computed over a 2 d-tree decomposition of a d-dimensional Configuration Space that is obtained with a probabilistic cell decomposition (sampling and classification). Cell sampling is biased towards the more promising regions by using the harmonic function values. Cell classification is performed by evaluating a set of configurations of the cell obtained with a deterministic sampling sequence that provides a good uniform and incremental coverage of the cell. The proposed planning framework opens the use of harmonic functions to higher dimensional C-spaces.
New Insights into the Role of T 3 Loop in Determining Catalytic Efficiency of GH 28 Endo-Polygalacturonases

Intramolecular mobility and conformational changes of flexible loops have important roles in the structural and functional integrity of proteins. The Achaetomium sp. Xz8 endo-polygalacturonase (PG8fn) of glycoside hydrolase (GH) family 28 is distinguished for its high catalytic activity (28,000 U/mg). Structure modeling indicated that PG8fn has a flexible T3 loop that folds partly above the substrate in the active site, and forms a hydrogen bond to the substrate by a highly conserved residue Asn94 in the active site cleft. Our research investigates the catalytic roles of Asn94 in T3 loop which is located above the catalytic residues on one side of the substrate. Molecular dynamics simulation performed on the mutant N94A revealed the loss of the hydrogen bond formed by the hydroxyl group at O34 of pentagalacturonic acid and the crucial ND2 of Asn94 and the consequent detachment and rotation of the substrate away from the active site, and that on N94Q caused the substrate to drift away from its place due to the longer side chain. In line with the simulations, site-directed mutagenesis at this site showed that this position is very sensitive to amino acid substitutions. Except for the altered Km values from 0.32 (wild type PG8fn) to 0.75–4.74 mg/ml, all mutants displayed remarkably lowered kcat (~3–20,000 fold) and kcat/Km (~8–187,500 fold) values and significantly increased4(4G) values (5.92–33.47 kJ/mol). Taken together, Asn94 in the GH28 T3 loop has a critical role in positioning the substrate in a correct way close to the catalytic residues.
Interactive Browsing and Navigation in Relational Databases

Although researchers have devoted considerable attention to helping database users formulate queries, many users still find it challenging to specify queries that involve joining tables. To help users construct join queries for exploring relational databases, we propose ETable, a novel presentation data model that provides users with a presentation-level interactive view. This view compactly presents one-to-many and many-to-many relationships within a single enriched table by allowing a cell to contain a set of entity references. Users can directly interact with this enriched table to incrementally construct complex queries and navigate databases on a conceptual entity-relationship level. In a user study, participants performed a range of database querying tasks faster with ETable than with a commercial graphical query builder. Subjective feedback about ETable was also positive. All participants found that ETable was easier to learn and helpful for exploring databases.
Experimental intracerebral hemorrhage in the mouse: histological, behavioral, and hemodynamic characterization of a double-injection model.

BACKGROUND AND PURPOSE A major limitation of intracerebral hemorrhage (ICH) research is the lack of reproducible animal models. The present study was conducted to validate in the mouse the double-injection method of ICH initially developed in the rat. We investigated the effect of intrastriatal injection of blood or cerebrospinal fluid (CSF) on cerebral blood flow (CBF), neurological score, hematoma volume, and brain swelling. METHODS Male C57BL/6 mice were anesthetized with halothane/nitrous oxide delivered by face mask. Rectal and cranial temperatures were regulated at 37 degrees C to 37.5 degrees C. Mice were placed in a stereotactic frame, and a 30-gauge stainless steel cannula was introduced through a burr hole into the left striatum. Each mouse received a 5-microL injection of either whole blood or CSF (over 3 minutes), followed 7 minutes later by 10 microL injected over 5 minutes. The injection cannula was slowly withdrawn 10 minutes after the second injection. Control mice had only cannula insertion. CBF was studied by laser Doppler perfusion imaging. Neurological status was evaluated on days 1 and 2. After 2 days, hematoma volume and brain swelling were calculated. RESULTS Physiological values were stable. Mice with ICH but not those with CSF or cannula alone had a marked, persistent neurological deficit and a highly reproducible hematoma, whose mean+/-SEM volume was 2.0+/-0.2 mm3 compared with a lesion size of 0.2+/-0.1 mm3 in mice with CSF. Residual swelling of the ipsilateral hemisphere at 48 hours was 5.7% in the hematoma and 1.5% in the CSF groups. Relative CBF in the neocortex ipsilateral to the injection site declined by approximately 45% to 60% during the first 20 minutes after cannula insertion/injection in all groups but began to renormalize at approximately 25 to 30 minutes in the CSF and cannula-only groups; in the hematoma group, cortical hypoperfusion of approximately 35% to 50% persisted during the 90-minute measurement period. CONCLUSIONS The present ICH model in mice produces a consistent neurological deficit, hypoperfusion, hematoma volume, and brain swelling. This model closely mimics human hypertensive basal ganglionic ICH and should be useful for the evaluation of pharmaceutical therapies. Laser Doppler perfusion imaging is a useful new technique to quantify relative CBF changes and can be used for studies of dynamic changes of CBF in this in vivo model of ICH in mice.
GuideME: Slice‐guided Semiautomatic Multivariate Exploration of Volumes

Multivariate volume visualization is important for many applications including petroleum exploration and medicine. State‐of‐the‐art tools allow users to interactively explore volumes with multiple linked parameter‐space views. However, interactions in the parameter space using trial‐and‐error may be unintuitive and time consuming. Furthermore, switching between different views may be distracting. In this paper, we propose GuideME: a novel slice‐guided semiautomatic multivariate volume exploration approach. Specifically, the approach comprises four stages: attribute inspection, guided uncertainty‐aware lasso creation, automated feature extraction and optional spatial fine tuning and visualization. Throughout the exploration process, the user does not need to interact with the parameter views at all and examples of complex real‐world data demonstrate the usefulness, efficiency and ease‐of‐use of our method.
Optimal pilot pattern design for dynamic spectrum access MIMO multicarrier systems

One of the serious challenges, which hamper application of multiple-input multiple-output (MIMO) multicarrier (MC) transmission systems in the cognitive radio (CR) environments, is the synthesis of reliable pilot signals, which can be used for the CR channel sounding. This paper addresses design of the optimal pilot pattern for MIMO-MC CRs. The principal novelty of this work in contrast to the previous ones is that the proposed solution is optimal from both performance and receiver complexity standpoint. To be more specific, we consider pilot sequence precoding, which leads to the best channel estimation accuracy, ensured by the optimal pilot power distribution and joint estimation of the second-order channel response statistics.
Data skew alleviation by balanced range assignment

The generation of information is growing at a surprising pace. The emotional ascent of unstructured information like photographs, recordings and online networking has introduced another type of non-social databases and which are named as “Big Data”. In 2012, the measure of data put away overall surpassed 2.8 Zetabytes. By 2020, the aggregate sum of information put away is required to be 50 times bigger than today. Big Data must be prepared and analysed to deliver potential ideas and extreme information must be comprehended from this sea of information. A famous system Hadoop is utilized as of now to process such huge information. Here we execute LIBRA with various approaches that altogether lessen the information skew-(a typical issue in mapreduce) by element part methodology without pre-processing the whole data. To give question preparing, another algorithm Block-Chain is introduced.
An improved genetic algorithm for dynamic shortest path problems

The Shortest Path (SP) problems are conventional combinatorial optimization problems. There are many deterministic algorithms for solving the shortest path problems in static topologies. However, in dynamic topologies, these deterministic algorithms are not efficient due to the necessity of restart. In this paper, an improved Genetic Algorithm (GA) with four local search operators for Dynamic Shortest Path (DSP) problems is proposed. The local search operators are inspired by Dijkstra's Algorithm and carried out when the topology changes to generate local shortest path trees, which are used to promote the performance of the individuals in the population. The experimental results show that the proposed algorithm could obtain the solutions which adapt to new environments rapidly and produce high-quality solutions after environmental changes.
A life of Jung

Carl Jung was one of the world's most influential psychoanalysts. With the exception of Freud, who chose him as the first president of the International Psychoanalytic Association, no psychologist has achieved more. Previous biographers have either made Jung an idol or condemned him for his failings. Ronald Hayman neither ignores Jung's faults nor exaggerates them in investigating the most crucial paradoxes surrounding this enigmatic figure. Hailed by Anthony Storr as "the best biography of Jung," Hayman's work is "all the more effective for its detached tone that perfectly puts in proportion Jung's cruel, brilliant and crazy schemes" (The Times [London]). Impeccably researched and written with notable objectivity, A Life of Jung offers a rare insight into how Jung's revolutionary ideas grew out of his own extraordinary experiences. "Compelling.Hayman captures.the extraordinary charisma of his subject. "-Newsday "Likely to become the standard biography of the revolutionary psychoanalyst. "-Kirkus Reviews, starred review
Parental involvement in municipal schools in Chile: Why do parents choose to get involved?

Utilizing Hoover-Dempsey and Sandler's (1995, 2005) theoretical framework on parental involvement, this study examined a cross-sectional sample of 516 parents of children in the first and fourth grade in municipal schools in Chile. The research sought to examine the association between parental motivational beliefs, parental perceptions of invitations for involvement, and parental perceived life context, and parental at-home and at-school involvement when controlling for child, parent, and household characteristics. Results from this study indicate that child invitations for involvement, parental sense of self-efficacy, income, and child's grade level are significantly associated with parental at home and at school involvement. Time and energy was also significantly associated with parental at school involvement. Understanding the importance of parental involvement as a protective factor in children's mental health, the article concludes with reflections on the findings for school-based mental health interventions. Specifically, the conclusions explore how to integrate family involvement initiatives and increase parental involvement, taking into account parental motivations for involvement in an international setting.
Object-Based Image Analysis in Wetland Research: A Review

The applications of object-based image analysis (OBIA) in remote sensing studies of wetlands have been growing over recent decades, addressing tasks from detection and delineation of wetland bodies to comprehensive analyses of within-wetland cover types and their change. Compared to pixel-based approaches, OBIA offers several important benefits to wetland analyses related to smoothing of the local noise, incorporating meaningful non-spectral features for class separation and accounting for landscape hierarchy of wetland ecosystem organization and structure. However, there has been little discussion on whether unique challenges of wetland environments can be uniformly addressed by OBIA across different types of data, spatial scales and research objectives, and to what extent technical and conceptual aspects of this framework may themselves present challenges in a complex wetland setting. This review presents a synthesis of 73 studies that applied OBIA to different types of remote sensing data, spatial scale and research objectives. It summarizes the progress and scope of OBIA uses in wetlands, key benefits of this approach, factors related to accuracy and uncertainty in its applications and the main research needs and directions to expand the OBIA capacity in the future wetland studies. Growing demands for higher-accuracy wetland characterization at both regional and local scales together with advances in very high resolution remote sensing and novel tasks in wetland restoration monitoring will likely continue active exploration of the OBIA potential in these diverse and complex environments.
Family History of Hypertension and the Risk of Overweight in Japanese Children: Results From the Toyama Birth Cohort Study

Background Family history can be a useful screening tool in the assessment and management of the risk for noncommunicable disease. However, no data have yet been reported on family history of hypertension and its effect on children’s overweight. Methods A total of 7249 Japanese children enrolled in the Toyama Birth Cohort Study were followed until 2002 (mean age: 12.3 years). Family history of hypertension was ascertained by asking children’s parents whether children’s biological parents or grandparents had doctor-diagnosed hypertension. Child overweight was defined according to international criteria for age- and sex-specific body mass index. Results The prevalence of child overweight at age 12 was 21.7% for males and 15.9% for females. After adjusting for family structure, parental employment status, and lifestyle factors, we found that a maternal family history of hypertension was positively associated with the risk of child overweight at age 12 (adjusted odds ratio [OR] 1.21, 95% confidence interval [CI] 1.04–1.39). The adjusted OR increased from 1.16 (95% CI 0.99–1.35) to 1.42 (95% CI 1.04–1.92) to 4.75 (95% CI 1.35–16.69) as the number of family members with hypertension increased from 1 to 2 to 3, respectively. There was no significant difference in the prevalence of overweight between children with a paternal family history of hypertension and those without. Conclusions A maternal family history of hypertension was positively associated with the risk of overweight in children at age 12.
Evaluation of the hybrid four-level converter employing half-bridge modules for two different modulation schemes

A novel hybrid three-phase multilevel converter is proposed for medium-voltage applications. The converter employs a conventional three-phase voltage source inverter (VSI) linking series connected half-bridge modules at each phase. With the proposed connection, a large portion of energy can be processed by the VSI without the need for insulation or by employing a single transformer, while smaller power shares are processed within the half-bridge modules. Thus, the requirements for galvanically insulated dc sources are reduced. Modularity is naturally achieved. A modulation scheme for a four-level version is proposed and analyzed in detail. This scheme allows unidirectional power flow in all dc sources and, consequently enables diode bridges to be employed in the rectification input stage for unidirectional applications.
Significance of “Not Detected but Amplified” Results by Real-Time PCR Method for HPV DNA Detection

Human papillomavirus (HPV) infection is an important etiologic factor in cervical carcinogenesis. Various HPV DNA detection methods have been evaluated for clinicopathological level. For the specimens with normal cytological finding, discrepancies among the detection methods were frequently found and adequate interpretation can be difficult. 6,322 clinical specimens were submitted and evaluated for real-time PCR and Hybrid Capture 2 (HC2). 573 positive or “Not Detected but Amplified” (NDBA) specimens by real-time PCR were additionally tested using genetic analyzer. For the reliability of real-time PCR, 325 retests were performed. Optimal cut-off cycle threshold (C T) value was evaluated also. 78.7% of submitted specimens showed normal or nonspecific cytological finding. The distributions of HPV types by real-time PCR were not different between positive and NDBA cases. For positive cases by fragment analysis, concordance rates with real-time PCR and HC2 were 94.2% and 84.2%. In NDBA cases, fragment analysis and real-time PCR showed identical results in 77.0% and HC2 revealed 27.6% of concordance with fragment analysis. Optimal cut-off C T value was different for HPV types. NDBA results in real-time PCR should be regarded as equivocal, not negative. The adjustment of cut-off C T value for HPV types will be helpful for the appropriate result interpretation.
Carrier sensing multiple access with collision resolution (CSMA/CR) protocol for next-generation wireless LAN

This paper proposes a distributed medium access control (MAC) protocol called carrier sensing multiple access with collision resolution (CSMA/CR) based on a fully connected single hop network considering next-generation wireless LAN environments with a high density of stations. The proposed CSMA/CR follows the typical CSMA/CA protocol and identifies a collision by additional sensing after data transmission starts without a ready-to-send (RTS) and clear-to-send (CTS) exchange. If one station detects a collision, it transmits a jam signal to stop the other stations' transmissions and has access priority for the retransmission without backoff, which prevents the next collision that may occur. The simulation results show that the proposed CSMA/CR has a low overhead due to the detection of a collision without an RTS/CTS exchange and always achieves the best throughput regardless of the number of access stations by using the collision resolution scheme.