Miracle-dz/UniFAR-FTUs huggingface dataset:
Forensics enabled secure mobile computing system for enterprises

The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able to match the pace at which these technological advances are evolving. In case of a security incident, the enterprises fail to perform a subsequent digital forensic investigation since their security systems are not designed with required Digital Forensic Readiness capability. Currently, there are no well defined Digital Forensic Readiness frameworks for mobile computing devices. The are some existing frameworks that provide partial support. However, they do not have a provision to learn from the past security violation occurrences. There is a need for an automated forensically ready and secure solution, which could improve efficiency and productivity, while continuously learning and adapting to new and unforeseen challenges. The current thesis is devoted to the design of forensics enabled secure mobile computing systems for the enterprises. The author has focused on developing a ‘digital forensic readiness and secure’ system, which targets smartphones, smartwatches, and wearables operating in an enterprise environment; while incorporating machine learning capabilities to make it a learning system. The digital forensic readiness solutions include ‘Precognition’, which performs forensic analysis of suspected mobile applications. Precognition also uses machine learning techniques that utilize feature sets which are extracted from decompiled mobile applications, to identify potential security threats. The author has analyzed over 14151 mobile applications and classified vulnerabilities with an accuracy of 94.2%. The second solution, which concentrates on digital forensic readiness at the operating system level, securely preserves date and time stamps of targeted events running in smartphones, smartwatches, and wearables. These timestamps can be used to validate the digital evidence during a subsequent digital forensic investigation for any of the devices mentioned above. As a third contribution towards promoting digital forensic readiness in the mobile computing devices, the author has presented a novel form of forensic analysis technique, which analyzes over 5498 mobile ads to build the user profile which can be applied to identify the suspect who uses a particular device. The security contribution of the thesis includes an automated security analysis solution for identifying potential mobile security threats. Further, a solution ‘SecureRing’ has been proposed for securing the mobile applications to provide an additional layer of protection against attacks. The author has also designed ‘MobiSecureWrap’, which is an automated solution for wrapping mobile application binaries with additional security layer to protect them against potential threats. MobiSecureWrap
Hemolytic uremic syndrome: A case report

A 4-year old male, of asian descent, was brought into the emergency department with abdominal cramps, vomiting and bloody diarrhoea that had started 24 hours before her admission. The patient was had vomited 4 times before he came in for admission, and was passing grossly bloody stools. The parents did not notice any precipitating events before the onset of symptoms, nor had he eaten anything out of the ordinary. On a detailed history and a physical examination, it was noted that the child was extremely dehydrated, did not tolerate oral feeds, irritable, with sunken eyes. No pallor, icterus or any skin rash was noted. The patient did exhibit tenderness, in the lower abdominal area, without rigidly, guarding or other signs that suggested peritonitis. Immediate intravenous access with 0.9% Normal saline was started and a diagnosis of gastroenterocolitis was considered initially, but as the patient’s abdominal pain worsened, the possibility of a perforated appendix was considered. ImmeSafa Fatima*; Ahmad Muhammad; Juveria Deccan College of Medical Sciences, Hyderabad, India500028
Cost-aware Topology Customization of Mesh-based Networks-on-Chip

Nowadays, the growing demand for supporting multiple applications causes to use multiple IPs onto the chip. In fact, finding truly scalable communication architecture will be a critical concern. To this end, the Networks-on-Chip (NoC) paradigm has emerged as a promising solution to on-chip communication challenges within the silicon-based electronics. Many of today’s NoC architectures are based on grid-like topologies which are also used in application-specific design.The small world network idea recently has been introduced in order to optimize the performance of the Networks-on-chip. Based on this method the architecture will be neither fully customized nor completely regular. Results have shown that by using the long-range links which optimized the network power and performance, the area consumption will exceed. We can derive from this that an acceptable bound on the area consumption should be considered. Based on the restriction of a designer, in this paper we want to present a methodology that will automatically optimize an architecture while at the same time considering the area consumption.
Health Information Seeking Behavior (HISB) among the University Students

Introduction: Understanding the information seeking behavior of individuals, especially students who are more likely to seek health information than other people, can be seen as an opportunity to provide resources to improve lifestyle or prevent possible health threatening behaviors among students. The main objective of this research is to determine the HISB among students of Tabriz University of Medical Sciences (TUOMS). Material and Methods: This descriptive cross-sectional study was carried out at TUOMS among students in 2017 through using simple random sampling method.Results: The results showed that most of the students had experience of searching information about prevention of illness (47.8%) and general health knowledge (45.1%). The common outcomes of accessing health information by students were their decision to visit the physician (68.2%) and relieving their concern about their condition or illness (60.2%). Conclusion: The results of this study indicate that most students are searching for information on diet, physical activity and physical health.
WCAG 2.1 Meets STEM: Application, Interpretation, and Opportunities for Further Standard Development

This paper offers an overview of changes introduced in the recent Web Content Accessibility Guidelines (WCAG) 2.1 standard that have implications for the accessibility of content in science, technology, engineering and mathematics (STEM) disciplines. In reviewing new provisions of WCAG 2.1, interpretive questions are raised regarding their application to mathematical and scientific materials. The paper is concluded with a brief discussion of opportunities for further enhancing accessibility of STEM materials in future revisions of the Guidelines.
Developing Embodied Familiarity with Hyperphysical Phenomena

Spatial computing (VR, etc) reveals an expansive and underexplored possibility-space of interactions in which the physics subtending affordances and phenomena can itself be designed, rewarding novel approaches to interaction design. Through reviewing literature and prototyping spatial interactions, this thesis explores the impact of previously-unencountered physical dynamics upon the development of familiarity with systems and identifies significant representations of external objects and the body itself, with an eye towards the larger goal of transformative tools for thought.While identifying promising avenues from the convergence of literary sources, this thesis synthesizes research and investigates applications of interactional dynamics by designing prototypes of spatial interactions given different materialities and computed physics, gaining insight through direct engagement with novel spatial phenomena. These VR prototypes illustrate design considerations for now-accessible interactional and material unorthodoxies, recognizing consequences and applications for embodiment spanning body-environment fusion (in depiction and interaction), multisensory integration, and high-dimensional dataset traversal.Historically the mediums and notations available in a time period have contributed to and somewhat delineated the set of available thoughts. As a medium, spatial computing, by such nuance of bodily input and output and such rigor of calculation, likely affords domains of thought and experience barely conceivable at present.
Periodontal considerations in preparation for fixed and removable prosthodontics.

Abstract This article has presented many of the newer concepts and techniques that have been developed to treat a problem that has been of major concern to the prosthodontist: the problem of favorable periodontal support and poor or deformed edentulous ridges. In the past, dentists were not aware, or did not believe, that it was possible to reconstruct ridge deformities, and they resorted to prosthetic solutions to solve the problems of tissue reconstruction, function, and aesthetics. New procedures and concepts permit us to extend the range of therapy and hope we are able to offer our patients. It is probably true that prosthodontists are more sensitive to the emotional concerns and needs of patients that have sustained ridge-jaw deformities. These patients bear deep emotional scars. They feel cast apart from "normal" society. Successful treatment for these patients not only restores their deformed ridge and dentition, it helps to erase the mental scars and emotional trauma these patients have had to accept. These procedures enable us to restore their sense of self-confidence and dignity.
Automated Change Detection in Satellite Imagery: ACDet

A rapid increase in the quantity as well as the quality of remote sensing data asks for new methods to come to an automated approach for change detection in satellite imagery. This research uses an interdisciplinary approach on the question how machine learning with the input of times-series data can be used to come to an accurate, flexible, and automated change detection system for remote sensing. A novel approach of using machine learning combined with graph based image segmentation on a running average in a time series of images is proposed. On validation using imagery of the newly constructed Marker Wadden island, the automated system proved effective in detecting significant changes. With the system a satellite image analyst can monitor large areas and focus on assessing areas flagged by the system. It improves change detection analysis in terms of speed and quality and severely reduces the human workload.
Influência das avós na prática do aleitamento materno

OBJETIVO: Verificar a influencia das avos na pratica do aleitamento materno. METODOS: Estudo prospectivo com 601 maes de recem-nascidos normais nascidos em hospital universitario na cidade de Porto Alegre, no Estado do Rio Grande do Sul. Os dados foram coletados na maternidade e nos domicilios, com um, dois, quatro e seis meses pos-parto, mediante entrevista com as maes. As informacoes sobre as avos foram obtidas na primeira visita ao domicilio. Regressao logistica multipla foi utilizada para testar associacoes entre variaveis relacionadas as avos e prevalencias de amamentacao. RESULTADOS: As seguintes variaveis mostraram associacao significativa com interrupcao do aleitamento materno exclusivo no primeiro mes: avos maternas e paternas que aconselhavam o uso de agua ou cha (RC=2,2 e 1,8, respectivamente) e de outro leite (RC=4,5 e 1,9, respectivamente). Interrupcao do aleitamento materno nos primeiros seis meses esteve associada com avos maternas e paternas que aconselhavam o uso de outro leite (RC=2,4 e 2,1, respectivamente). Contato nao diario com a avo materna foi fator de protecao para a manutencao da amamentacao aos seis meses. CONCLUSOES: As avos podem influenciar negativamente na amamentacao, tanto na sua duracao quanto na sua exclusividade. Essa informacao pode ser util no planejamento de estrategias de promocao do aleitamento materno.
Current trends in targeted therapy of leukaemia and lymphoma

Decades of cancer and leukaemia research have provided priceless insight into the molecular mechanisms underlying the development and maintenance of malignancies. The ultimate goal of these findings was, and still is, discovering discriminating factors enabling detection or treatment of tumour cells. An important achievement in this field has been the integration of protein chemistry, fluorescence detectors, nanoparticles, optical devices and computational devolvement integrated in the field of flow cytometry, fluorescence activated cell sorting FACS, data analysis and visualisation. Especially important is the onset of computational data mining tools like T-distributed Stochastic Neighbor Embedding (t- SNE), developed by van der Maatenand Hinton and further continuous progress of the machine learning algorithms for visualization of the huge amount of data produced from single cell FACS or mass cytometry analysis.
The Meaning Construction of Idiom Based on Blending Model

This paper studies and construes the meaning construction of idiom based on blending model, intending to use the blending model to reveal the meaning construction mechanism of idiom so as to make people understand that the meaning of idiom is constructed through the non-compositional integrated approach. The study shows that the conceptual blending is a primary means of encoding the metaphorical meaning of idiom. It blends the concepts of different cognitive frames, through the cross-space mapping and projection, to form a new concept, which is the metaphorical meaning of idiom. The process of idiom’s meaning construction is essentially a semantic leap, thus, a process of frame-shifting. Moreover, the national cognitive and cultural models play a very important role in the process of meaning construction of idiom. The cognitive model provides a guiding for the meaning construction of idiom, and this guiding become a kind of reality induced by the cultural model eventually.
Flight test of Quadcopter Guidance with Vision-Based Reinforcement Learning

Reinforcement Learning (RL) has been applied to teach quadcopters guidance tasks. Most applications rely on position information from an absolute reference system such as Global Positioning System (GPS). The dependence on “absolute position” information is a general limitation in the autonomous flight of Unmanned Aerial Vehicles (UAVs). Environments that have weak or no GPS signals are difficult to traverse for them. Instead of using absolute position, it is possible to sense the environment and the information contained within it in order to come up with a “relative” description of the UAV’s position. This paper presents the design of an RL agent with relative vision-based states and rewards for the teaching of a guidance task to a quadcopter. The agent is taught the task of turning towards a red marker and approaching it in simulation and in flight tests. A more complex task of travelling between a blue and a red marker is trained in simulation. This work shows that relative vision-based states and rewards can be used with RL to teach quadcopters simple guidance tasks. The performance of the trained agent is inconsistent in simulation and flight test due to the inherent partial observability in the relative description of the state.
Fear at First Sight: Library Anxiety, Race, and Nova Scotia

Multidisciplinary research and services have attempted to decrease educational barriersand increase university success for African Canadian students. However, these efforts have put limited focus on the influence of academic libraries on student success. This study examined racial differences in library anxiety and the coping methods undergraduates used in Nova Scotia, Canada. To examine student experiences, this study used a mixed-methods approach with surveys and interviews. In the preliminary phase, survey findings demonstrated no significant racial difference. The interview phase revealed that African Nova Scotian undergraduates experienced lower library anxiety than Caucasian Nova Scotians. Specifically, African Nova Scotians expressed comfort interacting with their community and public libraries prior to attending university. While attending university, their initial reaction was overwhelmingly positive, reflecting their previous experiences with community libraries. However, throughout their degree programs their library anxiety increased when faced with barriers, particularly with staff. In contrast, the interviews revealed that Caucasian Nova Scotian undergraduates experienced higher levels of discomfort and anxiety during their pre-university interactions with public libraries and throughout their university programs. Based on the findings, this study contributes to a racial and Canadian context rarely discussed in Library and Information Science. This exploratory study recognized inclusive practices and spaces as methods that librarians and staff can use to alleviate library anxiety. These practices and spaces are particularly significant in lowering library anxiety for African Nova Scotian students and should continue in order to assure a successful transition into university for these students.
Single Vision-Based Self-Localization for Autonomous Robotic Agents

We present a single vision-based, self-localization method for autonomous mobile robots in a known, indoor environment. This absolute localization method is landmark assisted, therefore, we propose an algorithm that requires the extraction of a single landmark feature i.e., the length of a known edge. Our technique is based on measuring the distance from two distinct, arbitrarily positioned landmarks in the robot's environment, the locations of which are known a priori. A single camera vision system is used to perform distance estimation. The developed framework is applied to tracking a robot's pose, i.e., its position and orientation, in a Cartesian coordinate system. The position of the robot is estimated using a bilateration method, while its orientation calculation utilizes tools from projective geometry. The validity and feasibility of the approach are demonstrated through experiments.
Seguimiento colaborativo del ruido ambiental utilizando dispositivos móviles y sistemas de información geográfica

El ruido ambiental, es una de las principales formas de contaminación en las ciudades y que afecta la calidad de vida de las personas. En este artículo, se presenta una metodología que utiliza un enfoque basado en la Información Geográfica Voluntaria (VGI, por sus siglas en inglés) para el monitoreo, análisis y predicción del ruido ambiental, lo cual puede resultar muy útil para plantear alternativas que mejoren la vida en una ciudad. El presente trabajo considera las fases de adquisición de los datos, análisis y procesamiento de los datos, así como la visualización de la información, considerando la temporalidad de los mismos y tomando en cuenta niveles de análisis a nivel macro y micro para la superficie de estudio. Se presentan algunos detalles del diseño y desarrollo de un sistema de información geográfica, compuesto por una aplicación web de mapas, una aplicación para dispositivos móviles denominada “NoiseMonitor”, el análisis geoespacial y los métodos de aprendizaje automático (máquinas de soporte vectorial y redes neuronales artificiales) para la predicción de ruido ambiental; utilizando información contextual; es decir, algunos datos relacionados con la ciudad. Se busca aprovechar la disposición de los ciudadanos de participar colaborativamente para monitorear su entorno y ser considerados como sensores humanos, lo cual a diferencia con los enfoques tradicionales, el costo asociado al desarrollo e implementación de este proyecto es mucho menor.
PHYSIOLOGICAL JAUNDICE: ROLE IN OXIDATIVE STRESS

Physiological jaundice is a common condition encountered in almost two third of neonates. It occurs due to complex interaction of many factors. In this review we have discussed mainly the physiological basis for its development. In newborns, if bilirubin level is more than physiological level, it may cause bilirubin encephalopathy (kernicterus), a deleterious neurological outcome. Then why nature has selected jaundice, a common condition in newborns. Perhaps nature has tried to use the antioxidant property of bilirubin and biliverdin to protect newborns that face storm of oxidative stress after birth.
VESEL: VisuaL Exploration of Schema Evolution using Provenance Queries

Database schemata are not static artifacts but subject to continuous change as new requirements daily occur and the modeling choices of the past should be updated or adapted. To this direction, multiple approaches available already try to keep multiple co-existing schema versions in parallel or model schema evolution through Schema Modification Operations, known as SMOs. However, to the best of our knowledge, in the era of big data, where thousands of SMOs might appear, it is really hard for developers to identify the modeling choices of the past and to explore how a specific column or table has been evolved. In this demo, we present VESEL, the first system enabling the VisuaL Exploration of Schema Evolution using provenance queries. Our approach relies on a state of the art database evolution language, and can efficiently answer queries about when a specific table or column has been introduced, how with which SMO operation and why which is the sequence of changes that led to the creation of the specific table/column. In the demonstration we will present the architecture of our system and the various algorithms implemented, enabling end-users to visually explore schema evolution. Then we will allow conference participants to interact directly with the system to test its capabilities.
Neue Entwicklungen in der perkutanen koronaren Intervention

Zusammenfassung Die perkutane koronare Intervention (PCI) wird in Deutschland bei über 350 000 Patienten pro Jahr durchgeführt. Die frühzeitige PCI hat zu einer Verbesserung der Prognose der akuten koronaren Syndrome, insbesondere denen mit ST-Strecken-Hebungs-Myokardinfarkt (STEMI), geführt und wird daher in den aktuellen internationalen und nationalen Leitlinien empfohlen. Neue Studien und die Leitlinien haben sich mit der Auswahl des Zugangswegs, der Identifikation hämodynamisch relevanter Stenosen mittels FFR und iFR und der optimalen Strategie der Revaskularisation bei koronarer Mehrgefäßerkrankung bei Patienten mit akutem Herzinfarkt befasst. Danach sollte in Abhängigkeit von der Erfahrung des Untersuchers der transradiale Zugang bevorzugt werden. Falls kein nicht invasiver Ischämienachweis vorliegt, sollte zur Beurteilung der hämodynamischen Relevanz mittelgradiger Stenosen bei stabiler KHK eine Druckdrahtmessung (FFR oder iFR) erfolgen. Beim STEMI ist bei Patienten mit Mehrgefäßerkrankung nach erfolgreicher PCI des Infarktgefäßes ein zweizeitiges Vorgehen, vorzugsweise mit zwischengeschalteter Ischämiediagnostik, die zu bevorzugende Strategie, sowohl bei hämodynamisch stabilen Patienten, aber insbesondere im kardiogenem Schock.