Miracle-dz/UniFAR-FTUs huggingface dataset:
WhereMoPS: an indoor geolocation system

Locating users and terminals accurately within buildings is an important technology for mobile applications. However indoor geolocation systems presented in the past are often restricted to certain applications or sensor systems and mostly provide location information in a context-specific manner. The WhereMoPS system is a flexible research platform for advanced indoor geolocation systems which can be extended to integrate additional sensing subsystems and positioning algorithms. The location information is distributed by means of the Mobile Positioning Protocol (MPP) originally designed for location-based services in GSM networks. This paper describes the WhereMoPS system design and implementation as well as the modifications necessary to adapt MPP to indoor environments.
Antibodies Targeting the PfRH1 Binding Domain Inhibit Invasion of Plasmodium falciparum Merozoites

Invasion by the malaria merozoite depends on recognition of specific erythrocyte surface receptors by parasite ligands. Plasmodium falciparum uses multiple ligands, including at least two gene families, reticulocyte binding protein homologues (RBLs) and erythrocyte binding proteins/ligands (EBLs). The combination of different RBLs and EBLs expressed in a merozoite defines the invasion pathway utilized and could also play a role in parasite virulence. The binding regions of EBLs lie in a conserved cysteine-rich domain while the binding domain of RBL is still not well characterized. Here, we identify the erythrocyte binding region of the P. falciparum reticulocyte binding protein homologue 1 (PfRH1) and show that antibodies raised against the functional binding region efficiently inhibit invasion. In addition, we directly demonstrate that changes in the expression of RBLs can constitute an immune evasion mechanism of the malaria merozoite.
A 165-GHz Transmitter With 10.6% Peak DC-to-RF Efficiency and 0.68-pJ/b Energy Efficiency in 65-nm Bulk CMOS

This paper presents a high-efficiency 165-GHz ON-OFF keying transmitter in a 65-nm CMOS technology with the record efficiency to the best of our knowledge. This is due to the proposed holistic design and optimization procedure, which links all the performance and figure-of-merits to the device sizes, including both actives and passives. This transmitter includes a high-efficiency transformer-based fundamental frequency cross-coupled oscillator and a high-speed and high ON-OFF ratio single-pole single-throw switch-based modulator. The transmitter demonstrates the highest dc-to-RF efficiency (10.6%) beyond 140 GHz in silicon processes, with a high output power (0.66 dBm), a high ON-OFF ratio (>32 dB), and a low phase noise (-104.8 dBc/Hz at 1-MHz offset). The transmitter achieves 9.4-Gbps data rate of less than 1 × 10-12 bit error rate with 0.68-pJ/b energy efficiency. The standalone oscillator also demonstrates the record dc-to-RF efficiency of 25.9% beyond 140 GHz in silicon processes. The transmitter consumes core area of 240 μm × 130 μm.
A representation theoretic approach to the WZW Verlinde formula

By exploring the description of chiral blocks in terms of co-invariants, a derivation of the Verlinde formula for WZW models is obtained which is entirely based on the representation theory of affine Lie algebras. In contrast to existing proofs of the Verlinde formula, this approach works universally for all untwisted affine Lie algebras. As a by-product we obtain a homological interpretation of the Verlinde multiplicities as Euler characteristics of complexes built from invariant tensors of finite-dimensional simple Lie algebras. Our results can also be used to compute certain traces of automorphisms on the spaces of chiral blocks. Our argument is not rigorous; in its present form this paper will therefore not be submitted for publication.
Virtual Community Use for Packaged Software Maintenance

In this study, we investigated the use of virtual communities for involving distributed customers in the maintenance of packaged software. On the basis of an empirical study, we suggest that virtual communities can be usefully leveraged for corrective, adaptive, and perfective software maintenance. Specifically, the virtual community allowed for quick discovery of bugs and a rich interaction between developers and customers in the categories of corrective and adaptive software maintenance. However, although contributing also to the perfective category of software maintenance, this was the category in which several customer suggestions for modification were actually ignored by the developers. This implies that community use is indeed beneficial for maintenance related to coding and design errors as well as for maintenance of an adaptive character. However, it has limitations when associated with major changes such as software functionality addition or modification as those experienced in the category of perfective maintenance.
Exploring the nature of music engagement and its relation to personality among young adults

Abstract This study examined the relationship between music preferences (MP), listening styles (LS), functions of music (FoM), perceived rasa (music) and personality traits (PT – Big Five Factors). A sample of 77 young adults (M = 39; F = 38; M = 22.7 years) completed measures of the above constructs and data were analysed via correlations, one-way ANOVA, post hoc tests, and T-tests. Significant correlations were found between LS and PT; MP and PT; FoM and PT; FoM and emotion; and LS and FoM. Findings indicated stronger preferences for genres namely Romantic songs, Soft songs and Filmy (Sad) songs. Gender difference existed in terms of MP, perceived emotions and LS. Music listening mainly served as a ‘source of pleasure and enjoyment’ and which ‘calms, motivates, or reminds of past events’. Musical genres inducing santoṣa rasa were perceived significantly higher in female participants. Based on the findings, a ‘music engagement model for Young Adults’ describing their music behaviour, have been proposed.
Immunohistochemical Evaluation of Fibronectin and Tenascin Following Direct Pulp Capping with Mineral Trioxide Aggregate, Platelet-Rich Plasma and Propolis in Dogs’ Teeth

Introduction: The aim of the present study was to evaluate the expression of fibronectin (FN) and tenascin (TN) after direct pulp capping (DPC) in dogs’ teeth with either mineral trioxide aggregate (MTA), Propolis or Platelet-rich plasma (PRP), by means of immunohistochemistry. Methods and Materials: A total of 48 sound molars and premolars with mature apices from four dogs, were included. The teeth were randomly divided into 4 groups according to the material used for DPC: PRP, Propolis, MTA, and glass-ionomer (as the negative control group). Each group was divided into two 7-day and 30-day subgroups. The teeth were restored at the same session. The animals were sacrificed at the mentioned time intervals and the expression of FN and TN in each test group and between each time intervals was assessed with Wilcoxon and Mann-Whitney U tests, respectively. The Kruskal-Wallis test was used to compare FN and TN staining among the test groups. The significance level was set at 0.05. Results: The amount of FN in the MTA group in the 30-day interval was significantly higher than the 7-day interval; however, there were no significant differences among the other groups. The amount of TN in the MTA and Propolis groups in the 30-day interval was significantly higher than that in the 7-day interval; no recognizable difference was observed in the other groups. Moreover, the difference in expression of FN and TN in the 7-day interval was not significant in the experimental groups. Nevertheless, the difference was significant in the 30-day interval, with the highest and lowest expressions belonging to the MTA and glass-ionomer groups, respectively. Conclusion: Based on the results of the present animal study, MTA is still a better choice for direct pulp capping
Design and implementation of an anomaly detection system for the Virginia State Police

The VSP and the Federal Bureau of Investigation (FBI) use crime reports to make decisions regarding resource allocation. To the extent the data in these reports are flawed, bad decisions will be made. Furthermore, VSP crime analysts currently spend more time than they would like locating and amending data entry errors identified by the FBI. This reduces the time those analysts can spend on more mature analyses of criminal behavior.
Quality assessment of the antenatal program for anaemia in rural Tanzania.

OBJECTIVE To assess the quality of antenatal care with respect to anaemia, a common health problem, in a developing country. DESIGN Cross-sectional study. SETTING Rufiji rural district, coastal Tanzania. STUDY PARTICIPANTS Three hundred and seventy-nine consecutively enrolled pregnant women from 16 randomly selected antenatal clinics, including 10 dispensaries, four rural health centres and two hospitals. METHODS We noted availability of infrastructure for management of anaemia, observed provider-client interaction, and interviewed women who attended antenatal clinics. An observer and health workers measured haemoglobin levels and their measurements were compared. MAIN OUTCOME MEASURES Quality of antenatal care, anaemia in pregnancy, and maternal satisfaction. RESULTS Half of the rural health clinics had no instrument to measure haemoglobin. The majority (58%) of pregnant women were not checked for anaemia at all, 10% were clinically examined, and 37% had haemoglobin assessed. The agreement between health workers' (using Tallqvist) and the observers' (using HemoCue) measurements of haemoglobin was poor to fair. The prevalence of anaemia (Hb < 10.5 g/dl) and severe anaemia (< 7.0 g/dl) was 58% and 6.2%, respectively, but overall only 4% of the anaemic pregnant women had specific action taken within the antenatal care program. CONCLUSION Deficiencies in quality of screening, diagnostic information, and individual counselling need to be addressed before any impact of the antenatal care programme on anaemia can be expected.
The Effects of Performance-Based Education on Evolutionary Attitudes and Literacy

Creationist opposition to evolution is a major impediment to advancing science education in the US and a growing problem in the UK. Novel education approaches could be instrumental in stemming this opposition. Rapper Baba Brinkman’s live show “Rap Guide to Evolution” is one such effort, as it combines hip hop, science, and comedy. To investigate this, pre- and post-performance tests and a one-month follow-up using the Evolutionary Attitudes and Literacy Survey were administered to 92 UK students in conjunction with a “Rap Guide to Evolution” performance. Study compliance was poor, with only five participants completing all three surveys and low posttest reliability. Nonetheless, significant improvement from pretest to retention was detected in evolution exposure, though there was also a decrease in evolutionary knowledge. Regression analysis controlling for gender, current religion, openness to experience, and creationist reasoning also indicated a borderline significant decrease in evolution misconceptions and that the decrease in evolutionary knowledge was predicted mainly by current religion. Though results were mixed, this study is the first of its kind in testing the influence of informal education on evolutionary knowledge and attitudes. Future research will utilize more rigorous protocols and investigate variation in cultural models of resistance to evolution.
Age differences in episodic memory, semantic memory, and priming: relationships to demographic, intellectual, and biological factors.

This study examined age differences in episodic memory, semantic memory, and priming using a random sample of 1,000 men and women from 10 age groups (35, 40, 45, . . . 80 years). The main purpose was to determine whether an age effect existed after differences on various demographic, intellectual, and biological factors had been controlled for. The simple correlations of age with episodic and semantic memory performance were found to be significant, whereas no relationship was found between age and levels of priming. After controlling for differences on the background factors, age predicted episodic but not semantic memory performance. It is proposed that the failure to account for the age effect on episodic memory is because it is caused by age-related neuronal changes.
A Cultural Analysis of e-Learning for China.

This e-paper discusses e-Learning for China based upon the experiences of a free content website. Chinese culture, The Internet, and education are discussed using a number of deep links into online bibliographies, online journals and other knowledge objects. A cultural analysis is undertaken and conclusions are made. The future of research into e-Learning for China is considered.
A Knowledge-Based Framework for Deploying Surveillance Problem Solvers

Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than traditional public health monitoring systems. They typically deal with larger and more diverse data sets and must use a large variety of analysis techniques to perform real-time tracking of multiple syndromes. Operationally, these systems must be able to perform rapid analysis on large data sets. A highly configurable system is also required to enable dynamic adaptation of outbreak detection algorithms to accommodate changing data streams and disease models. To meet the needs of these systems, we have developed a knowledge-based framework for deploying surveillance problem solvers. We show how we are using this architecture in a surveillance system that uses a variety of problem solvers to perform outbreak detection.
Blind MIMO Channel Identification Using Particle Swarm Algorithm

Blind channel identification is the problem of estimating the channel impulse response function given only by the measurements of the system output. In this paper, firstly, we maximized the cost function to construct the relationship between the inverse equalizer output and the input sequences, and then we used particle swarm algorithm to get the parameters and iteratively extract the MIMO (multiple-input multiple-output) system channel impulse response function . Computer simulation examples illustrate that the proposed algorithm can achieve higher performance when using less output samples to estimate the function parameters; even when we used lots of output samples ,the proposed algorithm also can get better performance than the subspace algorithm and the inverse filter algorithm.
Effect of prophylactic lamivudine for chemotherapy-associated hepatitis B reactivation in lymphoma: a meta-analysis of published clinical trials and a decision tree addressing prolonged prophylaxis and maintenance

Previous observations indicate that a lamividune-prophylaxis strategy results in a decrease of hepatitis B virus (HBV) reactivation rates. This report evaluates the benefits from this strategy among lymphoma patients. The findings of this study indicate that extended anti-HBV prophylaxis can improve survival rates by 2.4% in HBsAg-positive lymphoma patients receiving chemotherapy. Lamivudine prophylaxis is an effective strategy in HbSAg-positive patients receiving cancer chemotherapy. Recent data indicate that a lamividune-prophylaxis strategy results in a decrease of hepatitis B virus (HBV) reactivation rates, though its effect on HBV-mortality remains equivocal. This report evaluates the benefits from this strategy among lymphoma patients and develops a management approach for patients with prolonged immunosuppression. A Medline search was conducted to retrieve published trials on HBsAg-positive lymphoma patients receiving prophylactic lamivudine during chemotherapy. Basic inclusion criterion was to report HBV-reactivation rates with and without lamivudine prophylaxis. A meta-analysis of the risk of HBV-reactivation and HBV-related mortality was conducted, and the pooled effect was calculated as risk ratio (RR). We found that lamivudine prophylaxis is associated with a significant reduction in hepatitis B virus reactivation (RR 0.21, 95%CI 0.13–0.35) and a trend in reducing HBV-related mortality (RR 0.68, 95%CI 0.19–2.49). In order to study the long-term effects of anti-HBV prophylaxis when prolonged immunosuppression is needed, we used our findings to model a decision tree. Overall survival was the main outcome used in the analysis. Rituximab maintenance in B-cell lymphomas was used as a paradigm of prolonged immunosuppression. We found that extended anti-HBV prophylaxis can improve survival rates by 2.4% in HBsAg-positive patients. If 1,000 HBsAg-positive lymphoma patients receive prophylaxis, one will die from hepatitis B virus reactivation versus 25/1,000 if no prophylaxis is administered. This effect is probably mediated through a reduction of hepatitis B virus reactivation and HBV-related mortality. The ideal antiviral agent needs to be determined.
Metody prognozowania upadłości wykorzystywane w praktyce przez polskie przedsiębiorstwa – wyniki badań ankietowych

Bankruptcy forecasting methods used by Polish enterprises As bankruptcy presents a risk to almost every company operating in the market economy, forecasting of corporate failure should be of utmost importance for managers. Many methods that enable corporate failure prediction have been invented so far, but only a few are utilized by Polish entrepreneurs. The main objective of this article is to identify bankruptcy forecasting methods used by Polish companies and the frequency of their use. This was achieved by conducting a survey by questionnaire sent by mail to 703 joint-stock companies listed on the regulated market of the Warsaw Stock Exchange or on NewConnect. Due to a low response rate, a similar research was conducted on another group of firms. The article presents and compares the findings of both studies. The general conclusion of this joint comparison is that modern methods of corporate failure prediction like univariate and multiple discriminant analysis models are not commonly utilized by Polish business practitioners and that urgent effort in educating managers in bankruptcy prediction is needed from government and academic institutions.
An overview of some classical Growing Neural Networks and new developments

The mapping capability of artificial neural networks (ANN) is dependent on their structure, i.e., the number of layers and the number of hidden units. There is no formal way of computing network topology as a function of the complexity of a problem. It is usually selected by trial-and-error and can be rather time consuming. Basically, we make use of two mechanisms that may modify the topology of the network: growth and pruning. This paper gives an overview of some classical Growing Neural Networks (GNN) and their new developments. This kind of GNN is also called the ANN with incremental learning. Firstly, some classical GNN with supervised learning are outlined which includes tiling algorithm, tower algorithm, upstart algorithm, cascade-correlation algorithm, restricted coulomb energy network and resource-allocation network. Secondly, a class of classical GNN with unsupervised learning is reviewed, such as self-organizing surfaces, evolve self-organizing maps, incremental grid growing and growing hierarchical self-organizing map. Thirdly, the new developments of GNN, including both supervised learning and unsupervised learning, are surveyed. The conclusion is given at the end of the paper.
Input and output modalities used in a sign-language-enabled information kiosk

This paper presents description and evaluation of input and output modalities used in a sign-language-enabled information kiosk. The kiosk was developed for experiments on interaction between computers and deaf users. The input modalities are automatic computer-vision-based sign language recognition, automatic speech recognition (ASR) and a touchscreen. The output modalities are presented on a screen displaying 3D signing avatar, and on a touchscreen showing special graphical user interface for the Deaf. The kiosk was tested on a dialogue providing information about train connections, but the scenario can be easily changed to e.g. SL tutoring tool, SL dictionary or SL game. This scenario expects that both deaf and hearing people can use the kiosk. This is why both automatic speech recognition and automatic sign language recognition are used as input modalities, and signing avatar and written text as output modalities (in several languages). The human-computer interaction is controlled by a computer-driven dialogue system.
Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling

Near-Threshold Computing (NTC) has emerged as a solution that promises to significantly increase the energy efficiency of next-generation multi-core systems. This paper evaluates and analyzes the behavior of dynamic voltage and frequency scaling (DVFS) control algorithms for multi-core systems operating under near-threshold, nominal, or turbo-mode conditions. We adapt the model selection technique from machine learning to learn the relationship between performance and power. The theoretical results show that the resulting models satisfy convexity properties essential to efficiently determining optimal voltage/frequency operating points for minimizing energy consumption under throughput constraints or maximizing throughput under a given power budget. Our experimental results show that, compared with DVFS in the conventional operating range, extended range DVFS control including turbo-mode and near-threshold operation achieves an additional (1) 13.28% average energy reduction under isoperformance conditions, and (2) 7.54% average throughput increase under iso-power conditions.
Energy-efficient core networks

In this paper, we optimize core networks to minimize the embodied energy and the operational energy and introduce two measures for energy minimization in core content distribution networks: data compression in optical networks and locality in P2P networks. We investigate the impact of taking the embodied energy of network devices into account in the physical topology optimization and compare it to optimizing the physical topology considering operational energy only. The results show significant embodied energy savings up to 59%, resulting in a total energy saving of 47%. We also investigate energy-efficient data compression for optical networks and how to achieve a trade-off between the power consumption of computational resources and memory required to compress and decompress data and the network power savings. The results show that optimizing the data compression ratios in IP over WDM networks considering the non-bypass approach has saved up to 55% of the network's power consumption. Furthermore, we evaluate the power consumption of BitTorrent, the most popular P2P content distribution protocol, over IP over WDM networks and compare it to client/server (C/S) systems. The results reveal that the power-minimized BitTorrent converges to locality in order to achieve lower power consumption, resulting in 36% power savings compared to the C/S model.