Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Slicing as an Ad-Hoc Service: Opportunities and Challenges in Enabling User-Driven Resource Management in 5G

—Creation of virtualized network instances, aka network slicing, has been one of the fundamental architectural paradigms that allow 5G to meet the widely diverse service requirements of IoT devices, autonomous vehicles, and mobile apps alike. Recent work has shown the beneﬁts in dynamic rather than static allocation of physical resources to these virtual slices as well as the feasibility of creating and enforcing slices dynamically even in the radio access network. Encouraged by this, we make a case for offering network slicing as a real-time service to end users. This is a signiﬁcant shift from the predominant business model wherein content providers own these slices and end-users are subject to the resource allocation policy of content providers. By instead enabling users to customize and acquire resources for their desired session performance spontaneously, real-time network virtualization as a service allows diverse applications to drive their network allocation. This is particularly useful for real-time applications with immediate and potentially time-varying resource needs such as cyber-physical systems and edge computing. The operator’s centralized control of resources is reduced and thereby also the burden of meeting sufﬁcient trafﬁc demand in a slice under sparse availability (esp. in the edge). Instead, this burden is shifted to the design of incentive schemes that allocate these ad-hoc dynamic virtual slices of limited physical resources to users/devices/applications that value them the most. While enabling diverse service requirements in a decentralized fashion, our model brings up new challenges and opportunities in designing mechanisms that capture the spontaneous wireless end device’s session needs and valuations.
AOTEAROA AND RELEVANCE OF THE RAADS-14 1 Autism in Aotearoa : Is the RAADS-14 a valid tool for a New Zealand population Ms

Screening measures for autism spectrum disorder (ASD) are important tools for clinicians and researchers. However, where a measure developed and validated for one population is used with another, its performance in this new context must be carefully examined. The RAADS-14, a brief ASD screen developed in Sweden, was evaluated with a sample of New Zealand adults (N = 387), 41 of whom self-reported a prior diagnosis of ASD. The convergent validity of the RAADS-14 (hypothesis 2) was supported by a strong positive correlation with the AQ-10 autism spectrum quotient, r = . 81. Discriminant validity (hypothesis 3) was also supported by a strong negative correlation with the EQ-Short, r = -. 75. However, the measure did not meet inferential criteria for internal consistency (hypothesis 1), and confirmatory factor analysis found a poor fit of the proposed three-factor model (hypothesis 4) to the data. A cut-off score of 14/42 provided adequate sensitivity (95%) to detect participants with self-reported ASD diagnoses, but not adequate specificity (70%). %), suggesting a very high rate of false positives should be expected if relying on RAADS-14 scores alone to interpret presence of ASD. In sum, our results do not provide sufficient evidence of reliability and validity to support the use of the RAADS-14 with the New Zealand population. We provide suggestions for refinement of the RAADS-14 that may lead to increased reliability and validity.
Small Signal Modelling of a Buck Converter using State Space Averaging for Magnet Load

Nowadays, step-down power converters such as buck scheme are widely employed in a variety of applications such as power supplies, spacecraft power systems, hybrid vehicles and power supplies in particle accelerators. This paper presents a comprehensive small-signal model for the DC-DC buck converter operated under Continuous Conduction Mode (CCM) for a magnetic load. Initially, the buck converter is modeled using state-space average model and dynamic equations, depicting the converter, are derived. The proposed model can be used to design powerful, precise and robust closed loop controller that can satisfy stability and performance conditions of the DC-DC buck regulator. This model can be used in any DC-DC converter (Buck, Boost, and BuckBoost) by modifying the converter mathematical equations.
What Is the Relationship Between Demographic Diversity and Cognitive Diversity?

Diversity is often defined demographically, but it is also possible to define it more broadly in terms of cognitive traits, such as personality and thinking styles. Achieving diversity in this broader sense may improve the ability of the military to perform its wide variety of functions. This issue paper addresses the question of whether the U.S. military’s efforts to promote demographic diversity within its ranks could affect the cognitive diversity of its personnel. Focusing on one aspect of cognitive diversity— personality—we find in the literature small to moderate relationships between personality and the demographic characteristics of race/ethnicity and gender. We conclude that efforts by the military to increase demographic diversity may also have the secondary effect of somewhat increasing cognitive diversity. However, given the modest sizes of many of these relationships and the importance of other factors involved in increasing cognitive diversity, we expect this secondary effect to be small. MLDC Research Areas Definition of Diversity
Driver Fatigue Detection Based on Facial Key Points and LSTM

In recent years, fatigue driving has been a serious threat to the traffic safety, which makes the research of fatigue detection a hotspot field. Research on fatigue recognition has a great significance to improve the traffic safety. However, the existing fatigue detection methods still have room for improvement in detection accuracy and efficiency. In order to detect whether the driver has fatigue driving, this paper proposes a fatigue state recognition algorithm. *emethod first uses MTCNN (multitask convolutional neural network) to detect human face, and then DLIB (an open-source software library) is used to locate facial key points to extract the fatigue feature vector of each frame. *e fatigue feature vectors of multiple frames are spliced into a temporal feature sequence and sent to the LSTM (long short-termmemory) network to obtain a final fatigue feature value. Experiments show that compared with other methods, the fatigue state recognition algorithm proposed in this paper has achieved better results in accuracy. *e average accuracy of the proposedmethod in detecting key points of the face is as high as 93%, and the running time is less than half of the ordinary DLIB method.
Running title: Ascogregarina in Aedes of northeastern Argentina Academy Section: ECOSYSTEMS

Aedes aegypti is the main vector of the four arboviruses in America which have the greatest impact on human health. The introduction of Aedes albopictus in South America and Argentina acquires importance given the possibility that this species may be a new vector of arboviruses in this region. For this reason, the studies of the biology of their parasites, such as Ascogregarina spp. , should be important for the knowledge of the invasive behavior of these vectors. We reported the finding of Ascogregarina culicis in Aedes aegypti and Ascogregarina sp. in Ae. albopictus populations in subtropical Argentina. The prevalence of parasitism by A. culicis in Ae. aegypti and Ascogregrarina sp. in Ae. albopictus was 34.81% (n = 464) and 37.23% (n = 70), respectively, differing between the seasons and habitats. The infection intensity caused by A. culicis and Ascogregarina sp. varied between 1 to 250 and 1 to 327 trophozoites respectively. Ascogregarina culicis was found throughout the all sampling period of Ae. aegypti (June 2016-April 2018). However the presence of Ascogregarina sp. in the midgut of Ae. albopictus was not recorded throughout the whole sampling period despite the presence of the host.
ns-2 Implementation of the OMA PoC Control Plane

: Recently technologies such as VoIP, VoLTE and VoWLAN have been widely used for the purpose of voice conversation since the proliferation of smart phones. A half-duplex group communication or the push-to-talk (PTT) has been standardized under the Open Mobile Alliance to replace the existing analog/digital TRS or a walkie-talkie service. In this paper, we design and implement the ns-2 module of the OMA PoC control plane which is a signaling protocol for the PTT service. Based on the SIP implementation of Rui Prior, we extend it to simulate the ad hoc PoC session establishment using on-demand session, which is a signaling protocol according to the rules and procedures of RFC 3261 with extended headers including PoC feature tags. Some simulation results have been shown for the verification purpose using the proposed implementation. With this implementation, we expect to perform the extensive simulation study of group communication in various network configuration.
The Measurement of Cadmium, Zinc and Silver in Chicken Meat in Isfahan Province, Iran

Results: The mean contents of cadmium in the chicken thigh, breast, liver and heart samples were 0.055±0.021, 0.048±0.023, 0.074±0.031, and 0.012±0.004 mg/kg, respectively. The mean contents of zinc in the chicken thigh, breast, liver and heart samples were 17.19±8.10, 15.70±5.75, 22.10±10.87, and 19.70±10.38 mg/kg, respectively. The concentrations of cadmium and zinc were below the international permissible limits in all samples. The mean concentrations of silver in some chicken thigh, breast, liver and heart samples were 0.0080±0.0044, 0.0048±0.0013, 0.012±0.009 and 0.0036±0.006, respectively. Of note, silver was not detected in most chicken samples.
Effect of microRNA- 150 on the radiosensitivity of NK/T cell lymphoma tissues and NK-92 cells

[基金项目] 国家自然科学基金青年项目资助(No.81400156)。 Project supported by the National Natural Science Foundation for Youth Scholar of China(No.81400156) [作者简介] 吴少杰(1982-),博士,主治医师,讲师,主要从事淋巴瘤耐药机制的研究,E-mail:wshj510515@163.com [通信作者] 郭坤元(GUO Kunyuan,corresponding author),博士、主任医师、教授,主要从事恶性血液肿瘤的防治基础和临床研究,E-mail:wodeyoujian@foxmail.com [优先发表] http://kns.cnki. net/kcms/detail/31.1725. R.20170731. 1054.018. html MicroRNA-150对NK/T细胞淋巴瘤组织和NK-92细胞辐射敏感性的影响
When a prop becomes a hurdle: effectively scaffolding the level 4 learning experience

This longitudinal case study evaluated year on year learning enhancements on a level 4 module in a Business School over a period of approximately 11 years. The core teaching team, somewhat unusually, remained the same during this time, facilitating deep ongoing reflection of the effectiveness of the modules’ teaching and learning strategy. The subject context of the module was statistics, however, the lessons learnt in terms of identifying and supporting threshold moments in a learning unit can readily be generalised to other contexts. The work recognised the context of mass higher education, in particular the established body of work which reflected on students' transition to undergraduate level study (Yorke 2008, Kift et al 2010), what is means to learn in the digital age (Sharpe 2010) and the discourse that frames our understanding of e-learners (Haythornthwaite 2013).
Portal Blended CBT for Depression

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EFFECTIVE AND ANAESTHESIOLOGY PORTIONS CONNECTED WITH AN PREPARATORY PMV AS A HEALING OUTLINE FOR SPINAL CURVATURE

: Background: Victims who were facilitated with a cooperative objection method for backbone warped of the spinal column are typically publicized a short time later in today's repetition. Biopsy motorized ventilation and the succeeding encompassing of the alternative unit are related with extended healing use and flexibility, e.g. ventilator-induced ammonia. The flawless assessment of mechanisms that can endow to PMV and their modification can feast the supports. The existing evaluation was achieved to recognize conceptive and introspective parts connected with an opening PMV as a healing outline for spinal curvature a little time innovative. Methods: Total 110 enlightened cases that achieved a spinal curvature variation among December 2017 and December 2018 were preserved very healthy at Sir Ganga Ram Hospital Lahore. Amongst the PMV cases were defendants who did not continue extubated in the workshop and were dedicated to motorized ventilation. Amongst the investigative and contemplative variables considered were age, sex, weight, cardiorespiratory work, nearness of kyphosis, number and physique of spines, careful care, low deliberation of thoracoplasty, range of transformation system, blood problem, explanations and blood exchange, hypothetic, added use of anti-fibrinolysis. Results: The typical time of cases was 16.36±5.87 years with feminine strength (60.76%). The exasperate research accessible that rationally drawn assortments of spines (more than 9), blood happenstances, number of varied gems, blood transfusions and hypothetic were approximately connected by PMV (P<0.08). Self-determining accidental belongings for PMV were a comprehensive amalgamation (chance percentage (OR), 3.294; 96.0% CI among time (CI), 2.046-2.619) and hypothetic (OR, 0.098; 97.0% CI, 0.039-0.257; P<0.08). Conclusion: Manufacturers axiom that interminably extended combinations and hypothetic were legitimate threats for the flinch of PMV. By using happenings to chance away from hypothetic, a diminution in PMV can be realized.
Running title: DYNAMICS OF MORPHOLOGICAL AND FEEDER FUNCTIONAL GROUPS Academy Section: ECOSYSTEMS

This study examines the distribution of primary and secondary space holders integrated in morphological and feeder functional groups as well as the species richness over the seasons on northern Patagonian rocky shores. We also evaluated whether the temporal changes in species richness, assemblage structure and species turnover were related to seasonal changes. These patterns were studied by non-destructive samplings between December 2013 and March 2015. Thirty taxa were identified, including six algal morphological functional and three invertebrate feeder groups. The cover of seaweeds and invertebrates was positively correlated with changes in the environmental factors. The marked seasonality in this Patagonian zone changed between two contrasting periods. Species richness and assemblage structure were associated with seasonal changes and were influenced by the more abundant morphological and feeder functional groups. We suggest that habitat-formers, such as articulated calcareous and suspensor feeder groups, can expand and retract over time-scales of months to seasons, generating available space for the colonization and growth of other organisms. We conclude that seasonal changes and the dynamics of articulated calcareous and suspensor feeder groups drive changes in the algal and invertebrate abundances, in turn driving changes in species richness and assemblage structure.
Selection of sampling keys for cryptographic tests

Abstract The keys of modern cryptographic algorithms have an enormous size, so the testing of the algorithm performance for all key combinations, will take practically an infinite time. To avoid this, the sampling method is used, where a much smaller number of keys is tested and then the estimation of the algorithm performance for all the keys is calculated with a predetermined sampling error. For each sampling key, an output sample of the algorithm must be generated and tested. Therefore, in order to have sampling results as close as possible to the real performance of the algorithm, the key question is whether the selection of the keys should be random or it must follow some rules. If the selection of the keys is completely random, there is a high probability that the tests will not find some "weak" or "equivalent" keys, which give non-random or similar outputs and therefore reduce the total number of active keys. But if the sampling keys are selected with some specific criteria, there is a much greater probability of detecting any weak or equivalent key. In this study an optimal key selection methodology is proposed, which combines the random and the non-random key selection. Keywords: Cryptography, Data encryption, Communication security, Computer security, Data security, Information security.
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Machine learning (ML) is increasingly seen as a viable approach for building compiler optimization heuristics, but many ML methods cannot replicate even the simplest of the data ﬂow analyses that are critical to making good optimization decisions. We posit that if ML cannot do that, then it is insufﬁciently able to reason about programs. We formulate data ﬂow analyses as supervised learning tasks and introduce a large open dataset of programs and their corresponding labels from several analyses. We use this dataset to benchmark ML methods and show that they struggle on these fundamental program reasoning tasks. We propose P RO G RA ML – Program Graphs for Machine Learning – a language-independent, portable representation of program semantics. P RO G RA ML overcomes the limitations of prior works and yields improved performance on downstream optimization tasks.
Comparison estimating of classification error rate in decision tree: Data mining

Decision Tree (DT) typically splitting criteria using one variable at a time. In this way, the final decision partition has boundaries that are parallel to axes. An observation is misclassified when it falls in a region which does not have the same class membership. Misclassification rate in classification tree is defined as the proportion of observations classified to the wrong class while in the regression tree is defined as a mean squared error. In this paper, we present two of the important methods for estimating the misclassification (error) rate in decision trees, as we know that all classification procedures, including decision trees, can produce errors. Constructed DT model by using a training dataset and tested it based on an independent test dataset. There are several procedures for estimating the error rate of decision tree-structured classifiers, as K-fold cross-validation and bootstrap estimates. This comparison aimed to characterize the performance of the two methods in terms of test error rates based on real datasets. The results indicate that 10-fold cross-validation and bootstrap yield a tree fairly close to the best available measured by tree size.
Supplementary material to "Afforestation impact on soil temperature in regional climate model simulations over Europe"

Abstract. In the context of the first phase of the Euro-CORDEX Flagship Plot Study (FPS) Land Use and Climate Across Scales (LUCAS), we investigate the afforestation impact on the seasonal cycle of soil temperature over the European continent with an ensemble of ten regional climate models (RCMs). For this purpose, each ensemble member performed two idealized land cover experiments in which Europe is covered either by forests or grasslands. The multi-model mean exhibits a reduction of the annual amplitude of soil temperature (AAST) over all European regions, although this not a robust feature among the models. In Mediterranean, the simulated AAST response to afforestation is between −4 K and +2 K while in Scandinavia the inter-model spread ranges from −7 K to +1 K. We then examine the role of changes in the annual amplitude of ground heat flux (AAGHF) and summer soil moisture content (SMC) in determining the effect of afforestation on AAST response. In contrast with the diverging results in AAST, all the models consistently indicate a widespread AAGHF decrease and summer SMC decline due to afforestation. The AAGHF changes effectively explain the largest part of the inter-model variance in AAST response in most regions, while the changes in summer SMC determine the sign of AAST response within a group of three simulations sharing the same land surface model. Finally, we pair FLUXNET sites to compare the simulated results with observation-based evidence of the impact of forest on soil temperature. In line with models, observations indicate a summer ground cooling in forested areas compared to open lands. The vast majority of models agree with the sign of the observed reduction in AAST, although with a large variation in the magnitude of changes. Overall, we aspire to emphasize the effects of afforestation on soil temperature profile with this study, given that changes in the seasonal cycle of soil temperature potentially perturb crucial biochemical processes. Such perturbations can be of societal relevance as afforestation is proposed as a climate change mitigation strategy.
Design and Implementation of a Most Secure Cryptographic Scheme for Lightweight Environment using Elliptic Curve and Trigonohash Technique

The Internet of Things (IoT) is a rising development and is an organization of all gadgets that can be gotten to through the web. As a central advancement of the IoT, wireless sensor networks (WSN) can be used to accumulate the vital environment parameters for express applications. In light of the resource limitation of sensor devices and the open idea of remote channel, security has become an enormous test in WSN. Validation as an essential security service can be used to guarantee the authenticity of data access in WSN. The proposed three factor system using one way hash function is depicted by low computational cost, and limit overhead, while achieving all other benefits. Keys are made from secret key for meeting for improving the security. We differentiated the arrangement's security and execution with some lightweight plans. As shown by the examination, the proposed plan can give more prominent security incorporates low overhead of correspondence. Encryption and unscrambling is done using numerical thoughts and by using the possibility of hash function. Mathematical thoughts are lightweight and update the security up by a staggering degree by diminishing the chances of cryptanalysis. When contrasted with different calculations, the proposed calculation gives better execution results.
StripeMerge: Efficient Wide-Stripe Generation for Large-Scale Erasure-Coded Storage

Erasure coding has been widely deployed in modern large-scale storage systems for storage-efficient fault tolerance by storing stripes of data and parity chunks. Recently, enterprises explore the notion of wide stripes to suppress the fraction of parity chunks in each stripe to achieve extreme storage savings. However, how to efficiently generate wide stripes remains a non-trivial issue. In particular, re-encoding the currently stored stripes (termed narrow stripes) into wide stripes triggers substantial bandwidth overhead in relocating and regenerating the chunks for wide stripes. We propose StripeMerge, a wide-stripe generation mechanism that selects and merges narrow stripes into wide stripes, with the primary objective of minimizing the wide-stripe generation bandwidth. We prove the existence of an optimal scheme that does not incur any data transfer for wide-stripe generation, yet the optimal scheme is computationally expensive. To this end, we propose two heuristics that can be efficiently executed with only limited wide-stripe generation bandwidth overhead. We prototype StripeMerge and show via both simulations and Amazon EC2 experiments that the wide-stripe generation time can be reduced by up to 87.8% over a state-of-the-art storage scaling approach.