Miracle-dz/UniFAR-FTUs huggingface dataset:
The Study on Using Passive RFID Tags for Indoor Positioning

Radio frequency identification (RFID) is the technology that put an RFID tag on objects or people, so that they can be identified, tracked, and managed automatically. With its wide application in the automobile assembly industry, warehouse management and the supply chain network, RFID has been recognized as the next promising technology in serving the positioning purpose. Existing positioning technologies such as GPS are not available indoors as the terminal cannot get the signal from satellites. To enhance the availability of the positioning systems for indoors, the development of RFID positioning system for locating objects or people have became a hot topic in recent research. Compared with conventional active and high-cost solutions, this paper studied the feasibility of using passive RFID tags for indoor positioning and object location detection to provide real time information for tracking movement. Results of experiment show that readability of the passive RFID positioning system is satisfactory, and it is a more cost effective solution when compared with other positioning technologies.
A Novel Method for Bilingual Web Page Acquisition from Search Engine Web Records

A new approach has been developed for acquiring bilingual web pages from the result pages of search engines, which is composed of two challenging tasks. The first task is to detect web records embedded in the result pages automatically via a clustering method of a sample page. Identifying these useful records through the clustering method allows the generation of highly effective features for the next task which is high-quality bilingual web page acquisition. The task of high-quality bilingual web page acquisition is a classification problem. One advantage of our approach is that it is search engine and domain independent. The test is based on 2516 records extracted from six search engines automatically and annotated manually, which gets a high precision of 81.3% and a recall of 94.93%. The experimental results indicate that our approach is very effective.
The intermuscular 3–7 Hz drive is not aVected by distal proprioceptive input in myoclonus-dystonia

In dystonia, both sensory malfunctioning and an abnormal intermuscular low-frequency drive of 3–7 Hz have been found, although cause and eVect are unknown. It is hypothesized that sensory processing is primarily disturbed and induces this drive. Accordingly, experimenter-controlled sensory input should be able to inXuence the frequency of the drive. In six genetically conWrmed myoclonus-dystonia (MD) patients and six matched controls, the low-frequency drive was studied with intermuscular coherence analysis. External perturbations were applied mechanically to the wrist joint in small frequency bands (0–4, 4–8 and 8–12 Hz; ‘angle protocol) and at single frequencies (1, 5, 7 and 9 Hz; ‘torque’ protocol). The low-frequency drive was found in the neck muscles of 4 MD patients. In these patients, its frequency did not shift due to the perturbation. In the torque protocol, the externally applied frequencies could be detected in all controls and in the two patients without the common drive. The common low-frequency drive was not be aVected by external perturbations in MD patients. Furthermore, the torque protocol did not induce intermuscular coherences at the applied frequencies in these patients, as was the case in healthy controls and in patients without the drive. This suggests that the dystonic 3–7 Hz drive is caused by a sensory-independent motor drive and sensory malfunctioning in MD might rather be a consequence than a cause of dystonia.
Zyflamend®-mediated inhibition of human prostate cancer PC3 cell proliferation: Effects on 12-LOX and Rb protein phosphorylation

The multiherb anti-inflammatory product Zyflamend was investigated for its antiproliferative effects on PC3 human prostate cancer cells and eicosanoid metabolism in this prostate cancer cell line. Zyflamend produced a concentration-dependent inhibition of cloned COX-1, COX-2, and 5-LOX enzyme activities, with inhibition of 5-HETE production being greater than that of PGE2 formation. Applied to intact PC3 cells, Zyflamend was found to be most potent against 12-LOX, followed by 5-LOX and then COX activities. The concentration-dependent inhibition of PC3 cell proliferation was associated with a selective G2/M arrest of the cell cycle and induction of apoptosis, as evidenced by flow cytometric staining of PC3 cells with annexin V. Zyflamend also produced a concentration-dependent down-regulation of 5-LOX and 12-LOX expression. Determination of cell signal transduction proteins demonstrated that Zyflamend produced an increase in p21 phosphorylation but down-regulated phosphorylation of retinoblastoma (Rb) protein. The decrease in pRb protein was shown to be due to 12-LOX inhibition and a decline in 12-HETE levels in the cells. Replenishing 12-HETE in Zyflamend-treated cells overcame the ability of this multiple herb product to inhibit cell proliferation, and concordantly, 12-HETE blocked Zyflamend’s ability to down-regulate phosphorylation of Rb protein. We conclude that the effective control of human prostate cancer cell proliferation with Zyflamend is multi-mechanistic but, in part, involves regulation of aberrant tumor cell eicosanoid metabolism, especially on 5- and 12-LOX, as well as restoration of Rb tumor suppressor protein function through regulation of its phosphorylation status.
Are we in the midst of an autism epidemic? A review of prevalence data.

Autism is a "developmental disorder of neurobiologic origin that is defined on the basis of developmental and behavioral features. " Studies over the past 10-15 years suggest that the prevalence of autism is rising. Media coverage has been extensive and has indicated the presence of an "autism epidemic. " The goal of this article is to review relevant epidemiologic studies which address the prevalence of Autistic Spectrum Disorders in the last 30 years.
Epidemiologic survey of infantile cancer in Iran based on the data of the largest pediatric cancer referral center (Ali- Asghar Children Hospital), 1996-2005.

BACKGROUND Cancer in infants younger than one year of age represents a unique problem with distinct epidemiological, clinical and genetic characteristics compared with older age groups. No report is yet available from Iran regarding epidemiological and survival rate of cancers diagnosed in this age group. MATERIALS AND METHODS The population under study comprised of patients which were diagnosed and admitted to Ali-Asghar hospital between years 1996-2005. In total, 287 infants were included in the retrospective descriptive survey. Patient files were evaluated for age of patient at the time of diagnosis, sex, geographical residence, consanguinity of parents, histological diagnosis, site of cancer involvement, type of therapy, date of last follow-up and cause of death (if applicable). RESULTS The average age at the time of diagnosis was 7.2 months old. The most frequent malignancy was retinoblastoma (44%), followed by leukemia (19%) and neuroblastoma (10%), with five-year overall survival rates of 77.7%, 41% and 90%, respectively Parents of 40 infants (13.9%) had consanguinity relationships. CONCLUSIONS Although we cannot make any conclusions regarding the incidence of infant cancer subtypes based on this study, survival rates for major types were similar to the developed countries, which signifies strict adherence to standards of care in Ali-Asghar hospital, the main infant cancer care centre in Iran. A Childhood Cancer Registry with high-resolution data collection and also advanced genetic testing is advocated for in-depth analysis of variation in incidence and survival.
An Appraisal of the Maternal Mortality Decline in Nepal

Background A decline in the national maternal mortality ratio in Nepal has been observed from surveys conducted between 1996 and 2008. This paper aims to assess the plausibility of the decline and to identify drivers of change. Methods National and sub-national trends in mortality data were investigated using existing demographic and health surveys and maternal mortality and morbidity surveys. Potential drivers of the variation in maternal mortality between districts were identified by regressing district-level indicators from the Nepal demographic health surveys against maternal mortality estimates. Results A statistically significant decline of the maternal mortality ratio from 539 maternal deaths to 281 per 100,000 (95% CI 91,507) live births between 1993 and 2003 was demonstrated. The sub-national changes are of similar magnitude and direction to those observed nationally, and in the terai region (plains) the differences are statistically significant with a reduction of 361 per 100,000 live births (95% CI 36,686) during the same time period. The reduction in fertility, changes in education and wealth, improvements in components of the human development index, gender empowerment and anaemia each explained more than 10% of the district variation in maternal mortality. A number of limitations in each of the data sources used were identified. Of these, the most important relate to the underestimation of numbers of deaths. Conclusion It is likely that there has been a decline in Nepal's maternal mortality since 1993. This is good news for the country's sustained commitments in this area. Conclusions on the magnitude, pattern of the change and drivers of the decline are constrained by lack of data. We recommend close tracking of maternal mortality and its determinants in Nepal, attention to the communication of future estimates, and various options for bridging data gaps.
Maxprob and categorization of queries based on linguistic features

In this paper, we study the use of a probabilistic fusion approach inspired from the probFuse algorithm [14]. Our fusing technique is based on queries that are classified using some automatically extracted linguistic features [11]. In this approach, performances which are estimated during a training phase are used as an indicator of the systems to fuse. The rank list of relevant documents provided by the systems are divided into segments and used in a training/testing process to detect the systems to fuse. Our fusion technique shows better performances than other fusion techniques like CombMNZ [10], ProbFuse [14] and Best_sys [11].
Role of 14-bp deletion/insertion polymorphism in exon 8 of the HLA-G gene in recurrent spontaneous abortion patients

BACKGROUND: Human leukocyte antigen (HLA)-G belongs to the nonclassical Class I major histocompatibility complex, and is predominantly and specifically found on the extravillous cytotrophoblast cells of the placenta. HLA-G has been postulated as an important immunotolerant molecule in maintaining successful pregnancy and maternal tolerance of the semiallogenic fetus. Recent reports indicate that the 14-bp deletion/insertion polymorphism in exon 8 of the 3’UTR region of the HLA-G gene influences the HLA-G mRNA stability and isoform splicing patterns, thus modulating the levels of HLA-G expression. AIM: The aim was to study the 14-bp deletion/insertion polymorphism in exon 8 of the 3’UTR region of the HLA-G gene. MATERIALS AND METHODS: A total of 50 women with unexplained three or more recurrent spontaneous abortions (RSAs) and 41 normal healthy control women who have had normal pregnancies and were genotyped for the 14-bp deletion/insertion polymorphism were genotyped for the 14-bp deletion/insertion polymorphism by polymerase chain reaction for exon 8-specific primers RESULTS: It was found that the 14-bp allele deletion frequency was lower in patients (67%) versus controls (73%), while 14-bp allele insertion was higher among patients (33%) versus controls (9%). Similarly, the homozygous deletion halotype was higher among the controls (80.48%); the heterozygous insertion deletion haplotype (34%) and homozygous insertion haplotype (16%) were higher in RSA patients. The HLA haplotype HLA A*02:11_B*40:06:01:01 was increased among RSA women compared to controls. CONCLUSION: Our results suggest that 14-bp deletion/insertion polymorphisms might have importance in the outcome of pregnancy and the 14-bp deletion polymorphism in exon 8 of the HLA-G gene may be important from an evolutionary perspective of successful pregnancy.
Review on digitalization of basic routine procedures in histopathology laboratories

Slowly but surely, healthcare is going digital. Many of the recent innovations in healthcare, from telemedicine and smart devices to the growing capabilities in managing big data, can be traced back to the adoption of new digital technologies that have fostered a different way of working. Across medicine’s varied specialty areas, however, the adoption and progress of digital technology advances varies significantly. Digitalization in histopathology laboratory in Nigeria, is still a big setback, but there are digitalization in some of the usual routine practices like the automatic tissue processor which has overtaken the usual manual processor. In the area of sectioning, staining of tissues, mounting of slide and slide reading, we still face major setback in that regard. An improvement in digital diagnostic work, will go a long way in improving basic histopathological practice. From the reported usage of digital tools we can also conclude that possibilities for an overview image, measurements and annotations are much appreciated parts of the digital environment.
SOME INTRANATIONAL EVIDENCE ON OUTPUT-INFLATION TRADE-OFFS

In a seminal paper, Robert E. Lucas, Jr. provided the theoretical relationship between aggregate demand and real output based on relative price confusion at the individual market level. Subsequently, an alternative New Keynesian aggregate supply relationship was derived and it was demonstrated that the two theories can be distinguished on the basis of how both the rate of inflation and the volatility of relative prices affect its slope. By emphasizing the first implication of New Keynesian theory, strong evidence was obtained supporting this model using international data. We also concentrate on the second difference between the two theories. We derive the individual market-level equilibrium relationship for the Lucas model, i.e., the disaggregate supply curve. We estimate the crucial parameters of the relationship between aggregate nominal demand shocks and real output using U.S. intranational state and industry data. We find that the Lucas model omits important New Keynesian features of the data.
Reasoning from Desires to Intentions: A Dialectical Framework

Here, we define a framework where defeasible argumentation is used for reasoning about beliefs, desires and intentions. A dialectical filtering process is introduced to obtain a subset of the agent's desires containing only those that are achievable in the current situation. Different agents types can be defined in the framework affecting the way in which current desires are obtained. The agent is provided with a set of intention rules that specifies under what conditions an intention could be achieved. When more than one intention is present, a policy will be used to choose among them. Thus, intention policies provide the agent with a mechanism for deciding which intention is selected in the current situation. Several application examples will be given.
Visualising Bluetooth interactions: combining the Arc diagram and DocuBurst techniques

Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understanding and overview of the dataset as a whole. In order to overcome this problem, we have designed a visualisation which provides an informative overview of the dataset. The visualisation combines existing Arc Diagram and DocuBurst techniques into a radial space-filling layout capable of conveying a rich understanding of Bluetooth interaction data, and clearly represents social networks and relationships established among encountered devices. The end result enables a user to visually interpret the relative importance of individual devices encountered, the relationships established between them and the usage of Bluetooth 'friendly names' (or device labels) within the data.
A Case for Soft Vector Processors in FPGAs

Embedded applications today require high computational power that is not met by current FPGA-based soft processors. Although performance of data-parallel applications can be addressed by custom-designed hardware accelerators, such an approach is difficult for embedded software developers with little hardware design experience. Instead, vector processing can be used to speed up these same data-parallel applications. The vector programming model is easy to understand by software developers, making it easier for them to extract the parallelism without any hardware design knowledge. This paper proposes a soft vector processor for the Stratix III FPGA that can be scaled to different levels of performance and resource utilization. It has several configurable features that can be included or excluded to optimize the soft processor for a given application. Performance estimates of the soft vector processor using three embedded benchmark kernels show speedup of up to 16.6 x over an idealized Nios II processor while using 10.9 x the area.
Title Diverse and proportional size-1 object summaries for keywordsearch

The abundance and ubiquity of graphs (e.g., Online Social Networks such as Google+ and Facebook; bibliographic graphs such as DBLP) necessitates the effective and efficient search over them. Given a set of keywords that can identify a Data Subject (DS), a recently proposed relational keyword search paradigm produces, as a query result, a set of Object Summaries (OSs). An OS is a tree structure rooted at the DS node (i.e., a tuple containing the keywords) with surrounding nodes that summarize all data held on the graph about the DS. OS snippets, denoted as size-l OSs, have also been investigated. Size-l OSs are partial OSs containing l nodes such that the summation of their importance scores results in the maximum possible total score. However, the set of nodes that maximize the total importance score may result in an uninformative size-l OSs, as very important nodes may be repeated in it, dominating other representative information. In view of this limitation, in this paper we investigate the effective and efficient generation of two novel types of OS snippets, i.e. diverse and proportional sizel OSs, denoted as DSize-l and PSize-l OSs. Namely, apart from the importance of each node, we also consider its frequency in the OS and its repetitions in the snippets. We conduct an extensive evaluation on two real graphs (DBLP and Google+). We verify effectiveness by collecting user feedback, e.g. by asking DBLP authors (i.e. the DSs themselves) to evaluate our results. In addition, we verify the efficiency of our algorithms and evaluate the quality of the snippets that they produce.
Distributed Symmetric Function Computation in Noisy Wireless Sensor Networks with Binary Data

We consider a wireless sensor network consisting of n sensors, each having a recorded bit, the sensor’s measurement, which has been set to either “0” or “1”. The network has a special node called the fusion center whose goal is to compute a symmetric function of these bits; i.e., a function that depends only on the number of sensors that have a “1. ” The sensors convey information to the fusion center in a multi-hop fashion to enable the function computation. The problem studied is to minimize the total transmission energy used by the network when computing this function, subject to the constraint that this computation is correct with high probability. We assume the wireless channels are binary symmetric channels with a probability of error p, and that each sensor uses rαunits of energy to transmit each bit, where r is the transmission range of the sensor. The main result in this paper is an algorithm whose energy usage is Θ (n(loglogn)(√logn/n)α), and we also show that any algorithm satisfying the performance constraints must necessarily have energy usage Ω (n(√logn/n)α). Then, we consider the case where the sensor network observes N events, and each node records one bit per event, thus having N bits to convey. The fusion center now wants to compute N symmetric functions, one for each of the events.
Variable-stiffness Sheets Obtained using Fabric Jamming and their applications in force displays

The stiffness of a bag containing particles can be increased by evacuating the air inside it. This stiffness-control technology, referred to as granular jamming, has been used in force displays. In such displays, the operator feels a reaction-force sensation when deforming the bag with a hand motion. The particle-containing bag can be deformed into any shape; however, the bag cannot be converted into a thin plate. This study proposes a sheet-like mechanism that, rather than particles, contains piled-stretch fabrics inside a thin rubber bag. The sheet becomes rigid after evacuating the air from the bag, with stiffness proportional to the vacuum pressure inside the bag as observed in the granular-jamming method. The sheet thickness, which is determined using the number of piled-fabric layers, is approximately in the range of 1–5 mm. The softness and stretchability of the sheet allows it to form a spherical shape and maintain that shape after vacuuming the inner air. This study demonstrates the fundamental properties of a variable-stiffness sheet and its applications in force displays.
Ontological modelling of form and function for architectural design

Form, function and the relationship between the two serve a crucial role in design. Within architectural design, key aspects of the anticipated function of buildings, or of spatial environments in general, are supposed to be supported by their structural form, i.e., their shape, layout, or connectivity. Whereas the philosophy of form and function is a well-researched topic, the practical relations and dependencies between form and function are only known implicitly by designers and architects. Specifically, the formal modelling of structural forms and resulting artefactual functions within design and design assistance systems remains elusive.In our work, we aim at making these definitions explicit by ontologically modelling respective domain entities, their properties and related constraints. We interpret “structural form” and “artefactual function” by specifying modular ontologies and their interplay for the architectural design domain. A key aspect in our modelling approach is the use of formal conceptual requirements and qualitative spatial calculi as a link between the structural form of a design and the differing functional capabilities that it affords or leads to. We demonstrate how our ontological modelling reflects types of architectural form and function, and how it facilitates the conceptual modelling of requirement constraints in architectural design.