Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple-Password Interference in the GeoPass User Authentication Scheme

Password schemes based on selecting locations in an online map are an emerging topic in user authentication research. GeoPass is the most promising such scheme, as it provides satisfactory resilience against online guessing and showed high memorability (97%) for a single location-password. No multiple- password interference study, however, has been conducted to see if GeoPass or any other location-based password scheme is suitable for real-world deployment, where users have to remember multiple passwords. In this paper, we report the results of two separate multiple-password studies on GeoPass, each conducted over the span of three weeks. In the first study, we aim to understand the effects of interference on GeoPass scheme, where we found that users remembered location-passwords in less than 70% of login sessions, with 41:5% of login failures due to interference effects. Through a detailed analysis, we identify why interferences occur for location-passwords, and based on our findings, we propose to leverage mental stories to address the interference issue. We then perform a second interference study on modified GeoPass scheme to test the efficacy of our approach, where we found that the login success rate was greater than 97% and 3:4% of login attempts failed because of interference effects.
Low delay audio compression using predictive coding

A low delay audio coding scheme for communications applications is proposed. Its compression ratio is comparable to current state-of-the-art audio coding schemes, but with a much lower delay. The source of delay in conventional audio coding are the filters for the subband coding, and the block switching of the filter bank. The block switching leads to high peaks in bit-rate which necessitates a large bit rate buffer to smooth the bit rate for a transmission channel. To avoid or reduce these delays, we replace the subband coding by predictive coding, and the hard switching of the filter bank by soft switching of the predictors. The overall delay becomes 6 ms at 32 kHz sampling rate. A subjective listening test with bit-rates around 64 kb/s for mono signals shows that the new scheme has a comparable quality to a conventional state-of-the-art coder (PAC).
SOS: a distributed object-oriented operating system

We present SOS, the operating system for SOMIW (Secure Open Multimedia Integrated Workstation). The SOS is object-structured; all services and communication is expressed in terms of passive objects with procedural interfaces.Resources are accessed by clients via a local (to the client) proxy object. The possibly distributed or group nature of the resource is hidden behind the proxy interface.The service and its representatives form a single distributed object (or group); any communication protocol is hidden, as part of its internal representation. The proxy is a programmable capability and may be different per-client. This approach also allows the programmer of a resource to cope with the heterogeneous nature of its clients.The OS is based on a kernel which implements contexts, processes, memory segments and object descriptors. Object invocation normally occurs within one context, but may trap transparently into an other context.
Do Multiple Tortoises Equal a Hare? The Utility of Nine Noncoding Plastid Regions for Species-Level Phylogenetics in Tribe Lycieae (Solanaceae)

Abstract The identification of plastid DNA markers that provide sufficient phylogenetic resolution at the species and population levels is an important challenge for plant systematics. This is mainly due to the relatively slow rate of evolution of the plastid genome. In this study, we examine the utility of several plastid DNA regions for phylogenetic inference at low taxonomic levels in tribe Lycieae (Solanaceae). The regions employed here previously provided considerable numbers of potentially informative characters in investigations of sequence variation across the plastid genome, and one region (trnH-psbA) has been advocated for use in DNA barcoding. We sequenced nine noncoding plastid DNA regions (∼8,400 bp) for a diverse sample of Lycium species and Phrodus microphyllus (tribe Lycieae), as well as the outgroup Nolana, and included published sequences from the distant outgroup Atropa. The nine regions varied with regard to their phylogenetic utility, as measured by the numbers of variable and parsimony informative characters and informative insertions/deletions. We advocate a combination of three regions, including trnDGUC—trnTGGU, rpl32—trnLUAG, and ndhF—rpl32, for phylogenetic studies at the infrageneric or tribal level in Solanaceae. Collectively, these three plastid DNA regions had >100 variable characters across 24 taxa, with 72 parsimony informative characters, and 10 phylogenetically informative indels. Future studies should explore these three noncoding markers for low level phylogenetic questions in other taxonomic groups.
Uso problemático de internet en adolescentes españoles y su relación con autoestima e impulsividad

Dado el gran auge del uso de las nuevas tecnologías de la información y la comunicación (TIC) por parte del colectivo juvenil resulta de interés el análisis de los patrones disfuncionales y de su potencialidad adictiva. El objetivo de este trabajo consiste en explorar las relaciones entre el uso problemático de internet y factores de riesgo como la impulsividad, así como analizar las diferencias en conflictos intra e interpersonales asociados en función del género y la edad. Han participado 240 adolescentes y jóvenes (124 mujeres y 116 hombres) con edades comprendidas entre los 15 y 22 años (X= 18.075; DT= 2.36), estudiantes del Principado de Asturias (España). En relación con la posible existencia de usos problemáticos de internet resulta atribuible al 11.25% de los adolescentes frente a un 88.75% que muestran un uso controlado. Respecto a las diferencias en función del género y de la edad no han resultado significativas. Se ha hallado que la baja autoestima y la impulsividad cognitiva y no planeada predicen con mayor probabilidad el uso desadaptativo de internet. Presentar mayor propensión a tomar decisiones rápidas, así como mostrar más interés en las tomas de decisiones presentes que futuras, aumentan las probabilidades de puntuar más alto en conflictos interpersonales asociados al uso problemático de internet. Se discuten las implicaciones de tales hallazgos.Palabras clave: uso problemático, Internet, autoestima, impulsividad, adolescentes.
Survey of Fusion Techniques for Design of Efficient Multimodal Systems

Human gesture is a major component for performing intelligent human computer interaction. Human gestures includes different components of visual actions such as motion of hands, facial expression, and torso, motion of eye, speech, to convey meaning and perform actions. In previous works, manual component of gestures is focused. This paper describes multimodal gesture recognition framework, which combines the different groups of features such as hand movement features and facial expression features. In this paper a survey of the work in the fusion of multiple streams of inputs from different modalities to design multimodal system has been described.
Effects of vitamin E deficiency on total polyunsaturated fatty acids in rats and chicks

1. The total polyunsaturated fatty acid (PUFA) content of tissues of vitamin E-deficient rats and chicks has been measured by the lipoxidase method. 2. Vitamin E deficiency did not depress total PUFA in rat liver, kidney, heart, spleen, brain, adrenal and adipose tissue during experimental periods up to 13 months. 3. Liver PUFA was not depressed by deficiency of vitamin E and selenium in rats at 9 weeks or 8 months of age. 4. Rats given a muscular dystrophy-producing diet (containing oxidized cod-liver oil) showed a severe depletion of PUFA in muscle, but not in kidney or adipose tissue. 5. Exudative diathesis induced in chicks by a deficiency of vitamin E and Se did not depress liver PUFA. 6. It is considered that in vitamin E deficiency there is no general decrease in PUFA due to peroxidative loss. Changes of a more specific nature occur, as found by other workers.
Update on Inflammatory Biomarkers and Treatments in Ischemic Stroke

After an acute ischemic stroke (AIS), inflammatory processes are able to concomitantly induce both beneficial and detrimental effects. In this narrative review, we updated evidence on the inflammatory pathways and mediators that are investigated as promising therapeutic targets. We searched for papers on PubMed and MEDLINE up to August 2016. The terms searched alone or in combination were: ischemic stroke, inflammation, oxidative stress, ischemia reperfusion, innate immunity, adaptive immunity, autoimmunity. Inflammation in AIS is characterized by a storm of cytokines, chemokines, and Damage-Associated Molecular Patterns (DAMPs) released by several cells contributing to exacerbate the tissue injury both in the acute and reparative phases. Interestingly, many biomarkers have been studied, but none of these reflected the complexity of systemic immune response. Reperfusion therapies showed a good efficacy in the recovery after an AIS. New therapies appear promising both in pre-clinical and clinical studies, but still need more detailed studies to be translated in the ordinary clinical practice. In spite of clinical progresses, no beneficial long-term interventions targeting inflammation are currently available. Our knowledge about cells, biomarkers, and inflammatory markers is growing and is hoped to better evaluate the impact of new treatments, such as monoclonal antibodies and cell-based therapies.
Chemical evolution of galaxies – I. A composition‐dependent SPH model for chemical evolution and cooling

We describe an smooth particle hydrodynamics (SPH) model for chemical enrichment and radiative cooling in cosmological simulations of structure formation. This model includes: (i) the delayed gas restitution from stars by means of a probabilistic approach designed to reduce the statistical noise and, hence, to allow for the study of the inner chemical structure of objects with moderately high numbers of particles; (ii) the full dependence of metal production on the detailed chemical composition of stellar particles by using, for the first time in SPH codes, the Q i j matrix formalism that relates each nucleosynthetic product to its sources and (iii) the full dependence of radiative cooling on the detailed chemical composition of gas particles, achieved through a fast algorithm using a new metallicity parameter ζ(T) that gives the weight of each element on the total cooling function. The resolution effects and the results obtained from this SPH chemical model have been tested by comparing its predictions in different problems with known theoretical solutions. We also present some preliminary results on the chemical properties of elliptical galaxies found in self-consistent cosmological simulations. Such simulations show that the above ζ-cooling method is important to prevent an overestimation of the metallicity-dependent cooling rate, whereas the Q ij formalism is important to prevent a significant underestimation of the [a/Fe] ratio in simulated galaxy-like objects.
The diagnostic interface between histology and molecular tests in myeloproliferative disorders

Purpose of reviewThe sighting of the Philadelphia chromosome in 1960, later shown to harbor the BCR-ABL mutation in chronic myeloid leukemia, is arguably the most seminal contribution to molecular oncology. In the decades that followed, other cytogenetic and molecular disease markers have been described and effectively incorporated into routine diagnostic tests. This review discusses how this process is unfolding in myeloproliferative disorders. Recent findingsIn 2003, a karyotypically-occult FIP1L1-PDGFRA was reported in a subset of patients with blood eosinophilia and bone marrow mastocytosis; this mutation has since joined several other molecular markers for eosinophilic (e.g. PDGFRβ- and FGFR1-rearrangements) and mast cell (e.g. KITD816V) disorders. In 2005, JAK2V617F was described in polycythemia vera and other BCR-ABL- myeloproliferative disorders; the particular discovery has already had a major impact on current diagnostic approaches in polycythemia vera. These remarkable molecular discoveries are both redefining and reinforcing the diagnostic role of bone marrow histopathology. SummaryRecent progress in the molecular pathogenesis of myeloproliferative disorders calls for a paradigm shift in traditional diagnostics, which is based on subjective technologies or assignment to a ‘consensus’-based ever-changing list of inclusionary and exclusionary criteria. Routine clinical practice might be better served by diagnostic algorithms that incorporate molecular disease markers, which complement histological impression.
Institutional Synergies in Customary Land Markets—Selected Case Studies of Large-Scale Land Acquisitions (LSLAs) in Ghana

Synergies among land institutions and institutional changes impact on land markets and in guaranteeing agro-based employment, capital injection, local economic development and infrastructural improvement. Increasingly, these institutions have come under pressure and there are concerns about their functional capacities and implications on land markets. This paper discusses institutional synergies and its impacts on customary land markets under large-scale land acquisitions for agro-investments in Ghana. From the study, it was identified that the government of Ghana has maintained a non-interfering stance in customary land markets so as to protect the sanctity and independence of customary land institutions. Also, land transactions were found characterised by lack of transparency, information sharing, participation and accountability. For an efficient and effective management of LSLAs in Ghana, there is the need for a functioning institutional collaboration and one-stop-shop approach to streamline the apparent complex processes of acquiring agricultural land. The roles of customary custodians such as chiefs and Tendaamba should be critically reviewed and re-aligned according to local customs to make the institutions more accountable, consultative and transparent, while curtailing their enormous powers in land administration.
LGBTQ+ Student Mental Health: the challenges and needs of gender, sexual and romantic minorities in Higher Education

Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.
PLANNING AND ANALYSIS TOOL FOR LARGE SCALE DEPLOYMENT OF WIRELESS SENSOR NETWORK

In this paper the importance of tool-suite for large scale Wireless Sensor Network (WSN) deployment scenario has been investigated. This tool-suite is classified depending on the required feature for WSN deployment. Here both pre-deployment and post deployment has been considered for classification. Planning tool is used in pre-deployment phase and diagnostic tool is used in post-deployment phase. To enable a good planning for WSN, a proper model of WSN and the number and position of sensor nodes are required. In post deployment phase, the diagnostic tool will monitor the health of the deployed network status. In this paper, a direction of development of this type of tool has been presented and the challenges of building this type of tool are also discussed.
A smart cloth for ambulatory telemonitoring of physiological parameters and activity: the VTAMN project

The prototype of a communicating undercloth for medical remote monitoring was realized. It delivers physiological information on the subject (cardiac frequency, breathing frequency, mid-temperature) as well as the environment and activity parameters (ambient temperature, fall detection). It also enables the automatic data transfer when an event occurs, with the localization of the subject.
Analytical Solutions of Fuzzy Initial Value Problems by HAM

In this paper, series solution of fuzzy initial value problems under strong ly generalized differentiability by means of the homotopy analysis method is considered. The new approach provides the solution in the form of a rapidly convergent series with easily computable components using symbolic computation software. Although the homotopy analysis method contains the auxiliary parameter, the convergence region of the series solution can be controlled in a simple way. The proposed technique is applied to a few test examples to illustrate the accuracy and applicability of the method. Th e results reveal that the method is very effective and straightforward. Meanwhile, analysis results show that the homotopy analysis method is a powerful and easy-to-use analytic tool to solve fuzzy initial value problems.
Applying manufacturing batch techniques to fraud detection with incomplete customer information

Fraud detection is an important issue in service industries. Its technical challenges include the existence of complex patterns, its multivariate nature, and the incompleteness of records. As similar problems are observed in batch manufacturing process analysis, existing batch manufacturing techniques can be adapted and mapped to the fraud detection problem in the service sector. In particular, the batch library method can be modified to incorporate new information into incomplete customer records for analysis, while controlling the overall type I error rate. A real case is used to demonstrate the effectiveness of this approach, and simulation results are presented to show that the proposed approach consistently outperforms existing approaches.
Youth sport: positive and negative impact on young athletes

Organized youth sports are highly popular for youth and their families, with approximately 45 million children and adolescent participants in the US. Seventy five percent of American families with school-aged children have at least one child participating in organized sports. On the surface, it appears that US children are healthy and happy as they engage in this traditional pastime, and families report higher levels of satisfaction if their children participate. However, statistics demonstrate a childhood obesity epidemic, with one of three children now being overweight, with an increasingly sedentary lifestyle for most children and teenagers. Increasing sports-related injuries, with 2.6 million emergency room visits a year for those aged 5–24 years, a 70%–80% attrition rate by the time a child is 15 years of age, and programs overemphasizing winning are problems encountered in youth sport. The challenges faced by adults who are involved in youth sports, from parents, to coaches, to sports medicine providers, are multiple, complex, and varied across ethnic cultures, gender, communities, and socioeconomic levels. It appears that an emphasis on fun while establishing a balance between physical fitness, psychologic well-being, and lifelong lessons for a healthy and active lifestyle are paramount for success.
Effective Kernel Mapping for OpenCL Applications in Heterogeneous Platforms

Many core accelerators are being deployed in many systems to improve the processing capabilities. In such systems, application mapping need to be enhanced to maximize the utilization of the underlying architecture. Especially in GPUs mapping becomes critical for multi-kernel applications as kernels may exhibit different characteristics. While some of the kernels run faster on GPU, others may refer to stay in CPU due to the high data transfer overhead. Thus, heterogeneous execution may yield to improved performance compared to executing the application only on CPU or only on GPU. In this paper, we propose a novel profiling-based kernel mapping algorithm to assign each kernel of an application to the proper device to improve the overall performance of an application. We use profiling information of kernels on different devices and generate a map that identifies which kernel should run on where to improve the overall performance of an application. Initial experiments show that our approach can effectively map kernels on CPU and GPU, and outperforms to a CPU-only and GPU-only approach.
Diversity in organization and the origin of gene orders in the mitochondrial DNA molecules of the genus Saccharomyces.

Sequencing of the Saccharomyces cerevisiae nuclear and mitochondrial genomes provided a new background for studies on the evolution of the genomes. In this study, mitochondrial genomes of a number of Saccharomyces yeasts were mapped by restriction enzyme analysis, the orders of the genes were determined, and two of the genes were sequenced. The genome organization, i.e., the size, presence of intergenic sequences, and gene order, as well as polymorphism within the coding regions, indicate that Saccharomyces mtDNA molecules are dynamic structures and have undergone numerous changes during their evolution. Since the separation and sexual isolation of different yeast lineages, the coding parts have been accumulating point mutations, presumably in a linear manner with the passage of time. However, the accumulation of other changes may not have been a simple function of time. Larger mtDNA molecules belonging to Saccharomyces sensu stricto yeasts have acquired extensive intergenic sequences, including guanosine-cytosine-rich clusters, and apparently have rearranged the gene order at higher rates than smaller mtDNAs belonging to the Saccharomyces sensu lato yeasts. While within the sensu stricto group transposition has been a predominant mechanism for the creation of novel gene orders, the sensu lato yeasts could have used both transposition- and inversion-based mechanisms.
Texture Overlay onto Flexible Object with PCA of Silhouettes and K-Means Method for Search into Database

In this paper, we propose a method to overlay an arbitrary texture onto a T-shirt worn by a user. To realize such a system, two phases, an offline phase and an online phase are required. During the offline phase, we use a T-shirt with several markers for training images and establishing a correspondence between the shape of the T-shirt area and the array of markers. During the online phase, we use a T-shirt without any markers for the input image and search for a training image which has the most similar shape to the input image. By using markers from the selected training image, we overlay a texture onto the input image. In this method, we represent the shape of a T-shirt based on its contour so that we can handle occlusion by the hands when the hands cross over the T-shirt. In addition, the computation time is reduced by using PCA and K-means method, which enables our system to work in real time.