Miracle-dz/UniFAR-FTUs huggingface dataset:
Module-lattice KEM Over a Ring of Dimension 128 for Embedded Systems

Following the development of quantum computing, the demand for post-quantum alternatives to current cryptosystems has firmly increased recently. The main disadvantage of those schemes is the amount of resources needed to implement them in comparison to their classical counterpart. In conjunction with the growth of the Internet of Things, it is crucial to know if post-quantum algorithms can evolve in constraint environments without incurring an unacceptable performance penalty. In this paper, we propose an instantiation of a module-lattice-based KEM working over a ring of dimension 128 using a limited amount of memory at runtime. It can be seen as a lightweight version of Kyber [7] or a module version of Frodo [8]. We propose parameters targeting popular 8-bit AVR microcontrollers and security level 1 of NIST. Our implementation fits in around 2 KB of RAM while still providing reasonable efficiency and 128 bits of security, but at the cost of a reduced correctness.
THE CONTROL OF PORTING IN TWO-SIDED

A sizable literature has grown up in recent years focusing on two-sided markets in which economies of scale combined with complementarities between a platform and its associated ‘software’ or ‘services’ can generate indirect network effects (that is positive feedback between the number of consumers using that platform and the utility of an individual consumer). In this paper we introduce a model of ‘porting’ in such markets where porting denotes the conversion of ‘software’ or ‘services’ developed for one platform to run on another. Focusing on the case where a dominant platform exists we investigate the impact on equilibrium and the consequences for welfare of the ability to control porting. Specifically, we show that the welfare costs associated with the ‘control of porting’ may be more significant than those arising from pricing alone. This model and its associated results are of particular relevance because of the light they shed on debates about the motivations and effects of actions by a dominant platform owner. Recent examples of such debates include those about Microsoft’s behaviour both in relation to its operating system and its media player, Apple’s behaviour in relation to its DRM and iTunes platform, and Ebay’s use of the cyber-trespass doctrine to prevent access to
On-Chip Interconnects of RFICs

Boosted by the demands of the rapidly growing wireless communication market, there is an increasing interest in the development of the radio frequency integrated circuits (RFICs). As highlighted by the International Technology Roadmap for Semiconductors (ITRS) annually, interconnect has become one of the most critical factors affecting the performance of ICs (ITRS, 2008). Thereafter, incorporating interconnect effects into the RFIC design flow becomes increasingly essential. Because of the mature technology, low fabrication cost and high packing density, CMOS technology is deemed as a strong contender compared with other available technologies (Shi et al., 2005). Therefore, this chapter will mainly focus on the analysis of interconnects using conventional CMOS technology. Nevertheless, the authors would also like to shed some lights on some emerging interconnect concepts and technologies in the last part of the chapter.
Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition

Ubiquitous mobile computing technology provides opportunities for accurate Activity Recognition (AR). Recently, ensemble models using multiple feature representations based on time series subsequences have demonstrated excellent performance on recognition accuracy. However, these models can significantly increase the energy overhead and shorten battery lifespans of the mobile devices. We formalize a dynamic subsequence selection problem that minimizes the computational cost while persevering a high recognition accuracy. To solve the problem, we propose Markov Dynamic Subsequence Ensemble (MDSE), an algorithm for the selection of the subsequences via a Markov Decision Process (MDP), where a policy is learned for choosing the best subsequence given the state of prediction. Regarding MDSE, we derive an upper bound of the expected ensemble size, so that the energy consumption caused by the computations of the proposed method is guaranteed. Extensive experiments are conducted on 6 real AR datasets to evaluate the effectiveness of MDSE. Compared to the state-of-the-art methods, MDSE reduces 70.8% computational cost which is 3.42 times more energy efficient, and achieves a comparably high accuracy.
AN EXAMINATION OF INTEGRATION OF ACADEMIC AND VOCATIONAL SUBJECT MATTER IN THE AQUACULTURE CLASSROOM

Many view aquaculture education as an ideal vehicle to facilitate the integration of academic and vocational subject matter when it is infused into secondary or other agriculture curriculum. This national study utilized a mixed methods approach to investigate the extent to which secondary agriculture teachers employ aquaculture as a means to teach and reinforce other content areas. The study also examined the types of activities that occur within various academic areas. Results of the study indicated that approximately one-fourth of all secondary agriculture teachers incorporated aquaculture into their courses of study to some level. Those who integrate work with science teachers more frequently than with teachers in other academic areas, but some teachers have developed strategies to work effectively with areas beyond science. Most integration activities focused on environmental issues. Interviews with agriculture teachers revealed that finding ways to work effectively with other teachers and deal with territorial issues are major barriers for increased integration. Students who participated in interviews indicated that they believe aquaculture has enhanced their academic performance in mathematics and science, and made those areas more relevant for them.
Google Earth Engine Based Three Decadal Landsat Imagery Analysis for Mapping of Mangrove Forests and Its Surroundings in the Trat Province of Thailand

Monitoring and understanding the changes in mangrove ecosystems and their surroundings are required to determine how mangrove ecosystems are constantly changing while influenced by anthropogenic, and natural drivers. Cosistency in high spatial resolution (30 m) satellite and high performance computing facilities are limiting factors to the process, with storage and analysis requirements. With this, we present the Google Earth Engine (GEE) based approach for long term mapping of mangrove forests and their surroundings. In this study, we used a GEE based approach: 1) to create atmospheric contamination free data from 1987-2017 from different Landsat satellite imagery; and 2) evaluating the random forest classifier and post classification change detection method. The obtained overall accuracy for the years 1987 and 2017 was determined to be 0.87 and 0.96, followed by a Kappa coefficient 0.80 and 0.94. The change detection results revealed a significant decrease in the agricultural area, while there was an increase in mangrove forest, shrimp/fish farm, and bareland area. The results suggest that interconversion of land use and land cover is affecting the landscape dynamics within the study area.
New Traveling-Wave Antenna Resonating at 6 GHz Based on Artificial Transmission Line Metamaterial Structures for RF Portable Devices

Design of new metamaterial (MTM) traveling-wave antenna with “d-formed” left-handed structure is proposed. The proposed MTM structure is designed at a height of 0.8 mm from the ground plane with almost 2 GHz bandwidth. The most interesting feature of the design is the ability of enhancing the gain and total efficiency of the antenna without negative effects of the other important parameters like bandwidth. By using the “d-shaped” MTM structure and printed planar technique, the bandwidth of the MTM traveling-wave antenna is significantly increased at a resonant frequency of 6 GHz and also a foot print area reduction of the antenna structure is provided. Antenna size is 7.2 × 5 × 0.8 mm3. The proposed antenna is suitable for RF portable devices operating at 6 GHz.
ANALYSIS OF RNS MONTGOMERY EXPONENTIATION ALGORITHM FOR CRYPTOGRAPHY

The hardware implementation of modular exponentiation for very large integers is a well-known topic in digital arithmetic. An effective approach for obtaining parallel and carry-free implementations consists in using the Montgomery exponentiation algorithm and executing the necessary operations in RNS. Two efficient methods for performing the RNS Montgomery exponentiation have been proposed by Kawamura et al. and by Bajard and Imbert. The above approaches mainly differ in the algorithm used for implementing the base extension. This paper presents a modified RNS Montgomery exponentiation algorithm, where several multiplications are moved outside the main execution loop and replaced by an effective preprocessing stage producing a significant saving on the overall delay with respect to stateof-the-art approaches. Since the proposed modification should be applied to both of the above algorithms, two versions are specifically discussed. The overall comparison shows that with the proposed approach, a 18:5% speedup can be achieved for an implementation over 1024 bits, without any significant area overhead. Keywords— RNS, Montgomery reduction, Modular exponentiation, Modular multiplication.
Attenuation of seismic shear wave energy in Switzerland

SUMMARY Modelling the attenuation of shear wave energy is an important component of seismic hazard analysis. Previous studies have shown how attenuation, particularly in the uppermost layers of the crust, is regionally dependent. The impact of this is that the decay of energy radiating from an earthquake will vary from place to place. To quantify the regional attenuation in Switzerland we model the Fourier spectral amplitude of small-to-moderate earthquakes, recorded on the local seismic networks. High-frequency decay is parametrized by Q and κ, while apparent geometrical spreading models account for the frequency-independent decay of energy. We analyse ground motion encompassing the significant duration of shaking to provide models that are useful for the purpose of seismic hazard analysis. Two methods are used to estimate the whole path attenuation parameter, t*: first, a simultaneous fit of the source model and attenuation effects across the entire spectral bandwidth for earthquakes with M > 2; and secondly, a linear fit of an attenuation model to the high-frequency part of the spectrum for earthquakes with M > 3.5. The t* parameter is found to vary with hypocentral distance consistent with a weakly attenuating crust and strongly attenuating uppermost layer. 1-D tomographic inversions indicate a profile of increasing Q with depth down to the Moho. Frequency-independent decay is parametrized using a three-part model which allows for the inclusion of Moho reflection phases in the spectrum in the range of 20–140 km in the Swiss Foreland and from 70 to 140 km in the Swiss Alps.
Ovisnost odziva armiranobetonskih visokih zgrada o mjeri intenziteta potresa

U radu je provedena analiza ovisnosti između mjere intenziteta potresa IM i parametra seizmičkog odziva EDP, radi pronalaženja i definiranja najučinkovitijih ovisnosti EDPIM za armiranobetonske visoke zgrade. Kao referentna konstrukcija izabrana je trideseterokatna AB visoka zgrada konstrukcijskog sustava s AB jezgrom. U okviru analize provedeno je 240 nelinearnih dinamičkih analiza na djelovanje 60 potresnih zapisa na prostornom modelu konstrukcije. Analizirane su postojeće i predložene su nove mjere intenziteta koje daju najučinkovitije ovisnosti za AB visoke zgrade.
Design and Implementation of Remote Control System for Reactor VesselWeld InspectionManipulator

In this paper a design and implementation of a remote control system of a manipulator for weld inspection of nuclear reactor vessels are described. Based on the client-server TCP/IP software architecture, the presented control system enables an operator to perform the entire inspection procedure remotely over a network, avoiding exposure to dangerous radiation normally present in nuclear reactor environments. The developed graphical user interface provides tools for planning weld scan trajectories, their verification on a robot and reactor vessel 3D model, and finally, execution of planned trajectories on a remote robot. In addition, the weld inspection process can be monitored in parallel on a virtual robot and reactor vessel model and by watching live video streams captured by two cameras mounted on the robot.
Substance P: A Novel Target in the Treatment of Cerebral Oedema and Elevated Intracranial Pressure Following Traumatic Brain Injury

Traumatic brain injury (TBI) is the biggest killer of individuals under the age of 44 years [1], affecting over 5 million individuals worldwide each year. Many individuals are left with permanent neurological deficits caused by a number of complex biochemical cascades, referred to as secondary injury, that are initiated by the traumatic event and evolve over the hours to days thereafter. Secondary injury encompasses a wide variety of injury factors including excitotoxicity, loss of ion homeostasis, oxidative stress, inflammation, apoptosis, increased vascular permeability and cerebral oedema, amongst many others [2-3], and has been well documented to exacerbate injury and worsen outcome following trauma. Never‐ theless, the delayed fashion in which the injury progresses provides a window of opportunity for therapeutic intervention to potentially halt secondary injury, reduce neuronal loss and improve outcome. As such, countless studies have now focused on characterising the secon‐ dary injury that occurs following trauma in order to develop therapies to reduce or ameliorate such pathways [4].
Physical activity, weight status and diet in adolescents: are children meeting the guidelines?

Childhood obesity is on the increase and maintaining regular physical activity and consuming a healthy diet have become essential tools to combat the condition. The United Kingdom government has recommended guidelines for optimal levels of diet and activity in children. The aim of this paper is to describe and compare self-reported physical activity levels, diet, and Body Mass Indices (BMI) amongst adolescent children, aged 11-15, in the South West (SW) and North West (NW) regions of England and to see if these children were meeting the current targets for optimal levels of: physical activity; fruit/vegetable consumption; fat consumption and BMI. We report the results of a cross-sectional survey of four secondary schools and 1,869 children using the self-reported Western Australian Child and Adolescent Physical Activity and Nutrition Survey (CAPANS) physical activity instrument and a food intake screener questionnaire, in summer and winter. We found that 25% (469/1869) 95% CI: 23% to 27%, of children engaged in 60 minutes of moderate to vigorous physical activity per day; 53% (995/1866) 95% CI: 51% to 56%, took 5 portions of fruit and vegetables per day; while 22% (407/1861) 95% CI: 20% to 24% consumed recommended amount of fats, and 23.7% (276/1164) 95% CI: 21% to 26%, of pupils were obese or overweight as classified by their BMI. Self reported physical activity in young people regardless of area is lower than previously reported and the lack of students engaging in 60 minutes moderate to vigorous activity could have serious public health consequences. If sustained, this could lead to more overweight adults, and more ill health.
Alidade: IP Geolocation without Active Probing

Geolocation systems generally fall into two categories. Commercial systems provide precomputed address-to-location mappings for all IP addresses. We refer to such systems as geolocation databases. Upon presenting a geolocation database with a target IP address, a location estimate is provided immediately. Almost all systems reported in the academic literature, on the other hand, employ active measurements, issuing probes to a target after it has been specified, but before estimating the location of the target. These systems use constraints derived from the measurements to improve the accuracy of their predictions. Both approaches have their advantages. The active measurement approach may be more accurate, while the geolocation database approach is not intrusive and can answer queries quickly, even when off-line. This paper presents Alidade, a geolocation database system that makes extensive use of available network measurement data, but does not issue any probes of its own, either before or after a target is presented. Like other geolocation databases, Alidade precomputes location estimates for all of IP space. Indeed, using the available constraints, Alidade computes a joint solution for all addresses. We demonstrate that Alidade is competitive with the best commercial systems – on their own terms – using six different ground-truth data sets. Alidade also provides stronger guarantees of correctness, and each of Alidade’s predictions consists of a geographical region in addition to a representative point.
Design and Development of Textile Electrodes for EEG Measurement using Copper Plated Polyester Fabrics

Electrically conductive polyester fabrics are investigated in this work in order to develop textile electrodes for Eelectroencephalogram (EEG) measurement. Electrically conductive polyester fabrics have been prepared by electroless copper plating method. These fabrics are then characterized by SEM and XRD. The electrical conductivity of the fabric samples is also studied. The structural studies show that the crystalline region of fabric structure is not affected by the plating. The SEM studies reveal a very uniform deposition of copper on the fabrics. The conductivity studies show that the treated fabrics have good electrical conductivity. The developed copper plated fabric was used to develop the textile electrodes for Eelectroencephalogram (EEG) measurement. The acquired signals were compared with commercially available electrodes and the signals were found to be similar. The good measurement performance exhibited by the textile electrodes indicates that they are feasible candidates for EEG recording, opening the door for long-term EEG monitoring applications.
THE SHROOM FAMILY MEMBER, APXL, BINDS ACTIN AND LOCALIZES TO SITES OF CELL ADHESION

The actin cytoskeleton is essential for a vast array of cellular processes and behaviors including migration, cell division, cell adhesion, intracellular trafficking, and maintenance of cell shape. Regulation of cytoskeletal dynamics is achieved through the actions of a diverse group actin-binding proteins. The actin-binding protein Apxl, is a member of the Shroom protein family, which also includes Apx and KIAA1202. Shroom, the most well-characterized member of this family, binds and bundles actin stress fibers and is required for apical constriction of the neuroepithelium during neural tube closure in mice and Xenopus embryos. Apxl was named for its similarity to Apical Protein Xenopus (Apx), a regulator of an amilioride-sensitive sodium channel. All Shrm family members possess at least two of three conserved domains; a N-terminal PDZ domain, a centrally located ASD1 (APX/Shroom Domain) and a C-terminal ASD2 domain. Because of its similarity to Shroom, mouse Apxl was sequenced and cloned in order to begin initial characterization of the protein. Western blot analysis has shown that mAxpl is expressed in the majority of adult tissues. Immunofluorescence analysis of frozen sections has demonstrated that Apxl is specifically expressed in multiple populations of polarized cells, such as the neuroepithelium, vascular endothelium, and the epithelium of renal tubules. The subcellular localization of Apxl was investigated and Apxl was found to reside at the plasma membrane of non-adherent cells and in the apical compartment of polarized cells, possibly through interactions with cortical actin or members of the apical junctional complex. Analysis of Apxl deletion proteins has revealed that the ASD1 domain is crucial for proper localization,while the requirement for the PDZ domain varies in different cell lines. Cytochalasin D treatment of Rat1 fibroblasts has indicated that disruption of the actin cytoskeleton perturbs Apxl localization. Additionally, Apxl directly binds actin through its ASD1 domain in F-actin cosedimentation experiments. Apxl is expressed in multiple polarized cell types where it binds cortical actin and localizes to the apical junctional complex. Although the biological function of Apxl is unknown, its expression pattern, subcellular localization, and similarity to Shroom suggest that Apxl may play a role in regulation of cellular architecture throughout development.
Delayed Responses in Octopus

1. Octopuses were tested for their ability to perform delayed responses after varying delays and brain lesions. 2. Octopuses delayed for 10 sec. were capable of accurate performance without training. 3. In order to make a correct response after 20 or 30 sec. delays some ‘learning’ is needed. 4. Animals without vertical lobes or without median superior frontal lobes delayed for 30 sec. responded correctly. 5. The majority of correct attacks were ‘swimming attacks’ in which the animal swam through the water without contacting the walls of the tank. 6. ‘Shaking up’ the animals and disturbing them so that any orientating contact between the octopus and the door and sides of the tank was destroyed, did not decrease the accuracy of the response. The time taken for the response in these experiments was slightly increased.
Narrative interactive pedagogy for creative writing supervision after globalisation

Recent government intervention in research in both literacy and higher degree policy across the globe has sharpened universities’ focus on the quality of their students’ productivity, research experience and timely completion rates (Kamler, 2001; Manathunga, 2005). Researchers have sought to highlight the factors that predict students’ timely completion of their studies and students’ participation in the workforce is one such measure of outcome which leaves the discipline of Creative Writing outside the main discourse. This paper addresses the disciplinary and methodological specificity of the PhD in practice-led research and advocates an interactive narrative pedagogy inspired by the psychoanalytic teachings of Lacan (2007[1968-69]) and the ‘radical pedagogy’ developed by Mark Bracher (1999; 2006). It sets into motion an innovative engagement between the fields of Psychoanalysis, Writing and Pedagogy in order to consider the problem transference poses for psychoanalysis and creative writing in an increasingly market driven academia.
The history of Arbovirology at Instituto Evandro Chagas, Belém, Pará, Brazil, from 1954 to 1998

A significant and relevant part of studies conducted by this group included the antigenic characterization of new viral agents. This aspect has deep impact and fundamental importance in the recognition of new virus species. It allowed the world to learn about the existence of a large variety of distinct types of arbovirus and certain other viruses isolated from wild vertebrates and arthropods. In parallel, an extraordinary collection was established including more than 10,000 virus strains which have been using for experimental studies on the pathogenesis, ultra-structure, molecular biology, and evolution of these agents by future generations of scientists.