nils-herrmann/clean_scirepeval huggingface dataset:
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks (CNN). However, CNNs have massive compute demands that far exceed the performance and energy constraints of mobile devices. In this paper, we propose and develop an algorithm-architecture co-designed system, Euphrates, that simultaneously improves the energyefficiency and performance of continuous vision tasks. Our key observation is that changes in pixel data between consecutive frames represents visual motion. We first propose an algorithm that leverages this motion information to relax the number of expensive CNN inferences required by continuous vision applications. We co-design a mobile System-ona-Chip (SoC) architecture to maximize the efficiency of the new algorithm. The key to our architectural augmentation is to co-optimize different SoC IP blocks in the vision pipeline collectively. Specifically, we propose to expose the motion data that is naturally generated by the Image Signal Processor (ISP) early in the vision pipeline to the CNN engine. Measurement and synthesis results show that Euphrates achieves up to 66% SoC-level energy savings (4× for the vision computations), with only 1% accuracy loss.
Genomic Characterization of the Genus Nairovirus (Family Bunyaviridae)

Nairovirus, one of five bunyaviral genera, includes seven species. Genomic sequence information is limited for members of the Dera Ghazi Khan, Hughes, Qalyub, Sakhalin, and Thiafora nairovirus species. We used next-generation sequencing and historical virus-culture samples to determine 14 complete and nine coding-complete nairoviral genome sequences to further characterize these species. Previously unsequenced viruses include Abu Mina, Clo Mor, Great Saltee, Hughes, Raza, Sakhalin, Soldado, and Tillamook viruses. In addition, we present genomic sequence information on additional isolates of previously sequenced Avalon, Dugbe, Sapphire II, and Zirqa viruses. Finally, we identify Tunis virus, previously thought to be a phlebovirus, as an isolate of Abu Hammad virus. Phylogenetic analyses indicate the need for reassignment of Sapphire II virus to Dera Ghazi Khan nairovirus and reassignment of Hazara, Tofla, and Nairobi sheep disease viruses to novel species. We also propose new species for the Kasokero group (Kasokero, Leopards Hill, Yogue viruses), the Ketarah group (Gossas, Issyk-kul, Keterah/soft tick viruses) and the Burana group (Wēnzhōu tick virus, Huángpí tick virus 1, Tǎchéng tick virus 1). Our analyses emphasize the sister relationship of nairoviruses and arenaviruses, and indicate that several nairo-like viruses (Shāyáng spider virus 1, Xīnzhōu spider virus, Sānxiá water strider virus 1, South Bay virus, Wǔhàn millipede virus 2) require establishment of novel genera in a larger nairovirus-arenavirus supergroup.
Battery swap station for mobile robot

Electricity has been widely adopted in electric car, robot, and other systems as a power sources. A lot of robots, namely, fixed or mobile robots are studied, and researches are done to fuse the new & renewable energy with robot technology to solve the energy supply problems. For the mobile robots, the energies are usually supplied through the battery, and this causes the limitations of the activity time, the discontinuation of activity, and the range of activity. Therefore, solving the problems and securing the continuous energy supply scheme for extending the running time of the mobile robots can show the advantages for the robot activity and achievements. In the study, we suggest a scheme for the battery replacing method for the mobile robot.
Solar shirt: design of an environmental awareness wearable

The Solar Shirt is a wearable computing design concept and demo in the area of sustainable and ecological design. The Solar Shirt showcases a concept, which detects the level of noise pollution in the wearer's environment and illustrates it with a garment-integrated display. In addition, the design concept utilizes printed electronic solar cells as part of the garment design, illustrating a design vision towards zero energy wearable computing. The Solar Shirt uses reindeer leather as its main material, giving a soft and luxurious feeling to the garment. The material selections and the style of the garment derive their inspiration from Arctic Design, reflecting the purity of nature and the simplicity and silence of a snowy world.
Critical Success Factors for Shared Services: Results from Two Case Studies

Shared services have been heralded as a means of enhancing services and improving the efficiency of their delivery. As such they have been embraced by the private, and increasingly, the public sectors. Yet implementation has proved to be difficult and the number of success stories has been limited. Which factors are critical to success in the development of shared services arrangements is not yet well understood. The current paper examines existing research in the area of critical success factors (CSFs) and suggests that there are actually three distinct types of CSF: outcome, implementation process and operating environment characteristic. Two case studies of public sector shared services in Australia and the Netherlands are examined through a lens that both incorporates all three types of CSF and distinguishes between them.
Nuclei Detection in Cytological Images Using Convolutional Neural Network and Ellipse Fitting Algorithm

Morphometric analysis of nuclei play an essential role in cytological diagnostics. Cytological samples contain hundreds or thousands of nuclei that need to be examined for cancer. The process is tedious and time-consuming but can be automated. Unfortunately, segmentation of cytological samples is very challenging due to the complexity of cellular structures. To deal with this problem, we are proposing an approach, which combines convolutional neural network and ellipse fitting algorithm to segment nuclei in cytological images of breast cancer. Images are preprocessed by the colour deconvolution procedure to extract hematoxylin-stained objects (nuclei). Next, convolutional neural network is performing semantic segmentation of preprocessed image to extract nuclei silhouettes. To find the exact location of nuclei and to separate touching and overlapping nuclei, we approximate them using ellipses of various sizes and orientations. They are fitted using the Bayesian object recognition approach. The accuracy of the proposed approach is evaluated with the help of reference nuclei segmented manually. Tests carried out on breast cancer images have shown that the proposed method can accurately segment elliptic-shaped objects.
Disco: Improving Packet Delivery via Deliberate Synchronized Constructive Interference

Constructive interference (CI) enables concurrent transmissions to interfere non-destructively, so as to enhance network concurrency. In this paper, we propose deliberate synchronized constructive interference (Disco), which ensures concurrent transmissions of an identical packet to synchronize more precisely than traditional CI. Disco envisions concurrent transmissions to positively interfere at the receiver, and potentially allows orders of magnitude reductions in energy consumption and improvements in link quality. We also theoretically introduce a sufficient condition to construct Disco with IEEE 802.15.4 radio for the first time. Moreover, we propose Triggercast, a distributed middleware service, and show it is feasible to generate Disco on real sensor network platforms like TMote Sky. To synchronize transmissions of multiple senders at the chip level, Triggercast effectively compensates propagation and radio processing delays, and has 95th percentile synchronization errors of at most 250 ns. Triggercast also intelligently decides which co-senders to participate in simultaneous transmissions, and aligns their transmission time to maximize the overall link Packet Reception Ratio (PRR), under the condition of maximal system robustness. Extensive experiments in real testbeds demonstrate that Triggercast significantly improves PRR from 5 to 70 percent with seven concurrent senders. We also demonstrate that Triggercast provides 1.3χ PRR performance gains in average, when it is integrated with existing data forwarding protocols.
A simulation study of table-driven and on-demand routing protocols for mobile ad hoc networks

Bandwidth and power constraints are the main concerns in current wireless networks because mul tihop ad hoc mobile wireless networks rely on each node in the network to act as a router and packet forwarder This dependency places bandwidth power and computation demands on mobile hosts which must be taken into account when choosing the best routing protocol In recent years protocols that build routes based on demand have been proposed The major goal of on demand routing protocols is to minimize control traffic overhead In this paper we perform a simulation and performance study on some routing protocols for ad hoc networks Distributed Bellman Ford a traditional table driven routing algorithm is simulated to evaluate its performance in multihop wireless networks In addition two on demand routing protocols Dynamic Source Routing and Associativity Based Routing with distinctive route selection algorithms are simulated in a common environment to quantitatively mea sure and contrast their performance The final selection of an appropriate protocol will depend on a variety of factors which are discussed in this paper
Enhancing the data security in Cloud by implementing hybrid (Rsa & Aes) encryption algorithm

This paper presents Hybrid (RSA & AES) encryption algorithm to safeguard data security in Cloud. Security being the most important factor in cloud computing has to be dealt with great precautions. This paper mainly focuses on the following key tasks: 1. Secure Upload of data on cloud such that even the administrator is unaware of the contents. 2. Secure Download of data in such a way that the integrity of data is maintained. 3. Proper usage and sharing of the public, private and secret keys involved for encryption and decryption. The use of a single key for both encryption and decryption is very prone to malicious attacks. But in hybrid algorithm, this problem is solved by the use of three separate keys each for encryption as well as decryption. Out of the three keys one is the public key, which is made available to all, the second one is the private key which lies only with the user. In this way, both the secure upload as well as secure download of the data is facilitated using the two respective keys. Also, the key generation technique used in this paper is unique in its own way. This has helped in avoiding any chances of repeated or redundant key.
Short-term results and complications of prepubertal gonadectomy in cats and dogs.

To determine short-term results and complications of prepubertal gonadectomy in cats and dogs.



Prospective randomized study.



775 cats and 1,213 dogs.



Animals undergoing gonadectomy were allotted into 3 groups on the basis of estimated age (group 1, < 12 weeks old; group 2, 12 to 23 weeks old; group 3, > or = 24 weeks old). Complications during anesthesia, surgery, and the immediate postoperative period (7 days) were recorded. Complications were classified as major (required treatment and resulted in an increase in morbidity or mortality) or minor (required little or no treatment and caused a minimal increase in morbidity). An ANOVA was used to detect differences among groups in age, weight, body temperature, and duration of surgery. To detect differences in complication rates among groups, chi 2 analysis was used.



Group 1 consisted of 723 animals, group 2 consisted of 532, and group 3 consisted of 733. Group-3 animals had a significantly higher overall complication rate (10.8%) than group-1 animals (6.5%), but did not differ from group-2 animals (8.8%). Differences were not detected among the 3 groups regarding major complications (2.9, 3.2, and 3.0% for groups 1, 2, and 3, respectively), but group-3 animals had significantly more minor complications (7.8%) than group-1 animals (3.6%), but not group-2 animals (5.6%).



In this study, prepubertal gonadectomy did not increase morbidity or mortality on a short-term basis, compared with gonadectomy performed on animals at the traditional age. These procedures may be performed safely in prepubertal animals, provided that appropriate attention is given to anesthetic and surgical techniques.
An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints

We present a novel technique for jointly predicting semantic arguments for lexical predicates. The task is to find the best matching between semantic roles and sentential spans, subject to structural constraints that come from expert linguistic knowledge (e.g., in the FrameNet lexicon). We formulate this task as an integer linear program (ILP); instead of using an off-the-shelf tool to solve the ILP, we employ a dual decomposition algorithm, which we adapt for exact decoding via a branch-and-bound technique. Compared to a baseline that makes local predictions, we achieve better argument identification scores and avoid all structural violations. Runtime is nine times faster than a proprietary ILP solver.
Man-in-the-middle attacks on Secure Simple Pairing in Bluetooth standard V5.0 and its countermeasure

Bluetooth devices are widely employed in the home network systems. It is important to secure the home members’ Bluetooth devices, because they always store and transmit personal sensitive information. In the Bluetooth standard, Secure Simple Pairing (SSP) is an essential security mechanism for Bluetooth devices. We examine the security of SSP in the recent Bluetooth standard V5.0. The passkey entry association model in SSP is analyzed under the man-in-the-middle (MITM) attacks. Our contribution is twofold. (1) We demonstrate that the passkey entry association model is vulnerable to the MITM attack, once the host reuses the passkey. (2) An improved passkey entry protocol is therefore designed to fix the reusing passkey defect in the passkey entry association model. The improved passkey entry protocol can be easily adapted to the Bluetooth standard, because it only uses the basic cryptographic components existed in the Bluetooth standard. Our research results are beneficial to the security enhancement of Bluetooth devices in the home network systems.
Sensory processing in schizophrenia: neither simple nor intact.

This special issue focuses on the theme of sensory processing dysfunction in schizophrenia. For more than 50 years, from approximately the time of Bleuler until the early 1960s, sensory function was considered one of the few preserved functions in schizophrenia (Javitt1). Fortunately, the last several decades have brought a renewed and accelerating interest in this topic. The articles included in the issue range from those addressing fundamental bases of sensory dysfunction (Brenner, Yoon, and Turetsky) to those that examine how elementary deficits in sensory processing affect the sensory experience of individuals with schizophrenia (Butler, Kantrowitz, and Coleman) to the question of how sensory-based treatments may lead to improvement in remediation strategies (Adcock). Although addressing only a small portion of the current complex and burgeoning literature on sensory impairments across modalities, the present articles provide a cross-section of the issues currently under investigation. These studies also underscore the severe challenges that individuals with schizophrenia face when trying to decode the complex world around them.
Counting Classes of Klondike Solitaire Configurations

Klondike Solitaire – also known as Patience – is a well-known single player card game. We studied several classes of Klondike Solitaire game configurations. We present a dynamic programming solution for counting the number of “unplayable” games. This method is extended for a subset of games which allow exactly one move. With an algorithm based on the inclusion-exclusion principle, symmetry elimination and a trade-off between lookup tables and dynamic programming we count the number of games that cannot be won due to a specific type of conflict. The size of a larger class of conflicting configurations is approximated with a Monte Carlo simulation. We investigate how much gameplay is limited by the stock. We give a recursion and show that Pfaff-Fuss-Catalan is a lower bound. We consider trivial games and report on two remarkable patterns we discovered.
Survey on Internet of Things (IoT) security issues & solutions

Internet of things (IOT) is a rising wireless technology that connects different things to the internet. Things can be “anything” that is around us. ‘Over 50 billion one-of-a-kind gadgets can be related to the IoT through 2020’ said through Cisco. Contemporary security technologies are very constrained as they may be unable to fulfil safety requirements of IoT devices. As Cisco said, in coming years the growth of IoT can be progressive but at the equal time we need to offer a strong provision for security of user's data. In this paper, we can consciousness on specific vulnerabilities to the security of IoT devices and provide possible solution to them.
Neurological Complications in Eosinophilic Granulomatosis with Polyangiitis (EGPA): The Roles of History and Physical Examinations in the Diagnosis of EGPA

To investigate the clinical symptoms, the physical and neurological findings, and the clinical course of neurological complications in eosinophilic granulomatosis with polyangiitis (EGPA).  A retrospective chart review of EGPA cases managed by two referral hospitals was performed, with a focus on the neurological findings. The study analyzed the symptoms at the onset of EGPA and investigated their chronological relationship. The patient delay (the delay between the onset of symptoms and the initial consultation), and the physician delay (the delay from consultation to the initiation of therapy) were determined and compared. The involved nerves were identified thorough a neurological examination. The cases with central nervous system (CNS) involvement were described.  The average duration of symptoms prior to the initiating of therapy for sensory disturbances, motor deficits, rash, edema, and fever was 23, 5, 21, 18, and 24 days, respectively. Among the EGPA-specific symptoms, sensory disturbance was often the first symptom (63%), and was usually followed by the appearance of rash within four days (63%). The average physician delay (32.9±38.3 days) was significantly longer than the average patient delay (7.9±7.8 days; p=0.010). Reduced touch sensation in the superficial peroneal area, and weakness of dorsal flexion of the first toe secondary to deep peroneal nerve involvement, were highly sensitive for identifying the presence of peripheral nerve involvement in our series of patients with EGPA. Two cases, with CNS involvement, had multiple skin lesions over their hands and feet (Janeway lesions).  Japanese physicians are not always familiar with EGPA. It is important for us to consider this disease, when an asthmatic patient complains about the new onset of an abnormal sensation in the distal lower extremities, which is followed several days later by rash.
Musical NeuroPicks: A consumer-grade BCI for on-demand music streaming services

We investigated the possibility of using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener's subjective experience of music into scores that can be used in popular on-demand music streaming services. Our study resulted into two variants, differing in terms of performance and execution time, and hence, subserving distinct applications in online streaming music platforms. The first method, NeuroPicks, is extremely accurate but slower. It is based on the well-established neuroscientific concepts of brainwave frequency bands, activation asymmetry index and cross frequency coupling (CFC). The second method, NeuroPicksVQ, offers prompt predictions of lower credibility and relies on a custom-built version of vector quantization procedure that facilitates a novel parameterization of the music-modulated brainwaves. Beyond the feature engineering step, both methods exploit the inherent efficiency of extreme learning machines (ELMs) so as to translate, in a personalized fashion, the derived patterns into a listener's score. NeuroPicks method may find applications as an integral part of contemporary music recommendation systems, while NeuroPicksVQ can control the selection of music tracks. Encouraging experimental results, from a pragmatic use of the systems, are presented.
On the benefits and pitfalls of extending a statically typed language JIT compiler for dynamic scripting languages

Whenever the need to compile a new dynamically typed language arises, an appealing option is to repurpose an existing statically typed language Just-In-Time (JIT) compiler (repurposed JIT compiler). Existing repurposed JIT compilers (RJIT compilers), however, have not yet delivered the hoped-for performance boosts. The performance of JVM languages, for instance, often lags behind standard interpreter implementations. Even more customized solutions that extend the internals of a JIT compiler for the target language compete poorly with those designed specifically for dynamically typed languages. Our own Fiorano JIT compiler is an example of this problem. As a state-of-the-art, RJIT compiler for Python, the Fiorano JIT compiler outperforms two other RJIT compilers (Unladen Swallow and Jython), but still shows a noticeable performance gap compared to PyPy, today's best performing Python JIT compiler. In this paper, we discuss techniques that have proved effective in the Fiorano JIT compiler as well as limitations of our current implementation. More importantly, this work offers the first in-depth look at benefits and limitations of the repurposed JIT compiler approach. We believe the most common pitfall of existing RJIT compilers is not focusing sufficiently on specialization, an abundant optimization opportunity unique to dynamically typed languages. Unfortunately, the lack of specialization cannot be overcome by applying traditional optimizations.
A mathematical model of news propagation on online social network and a control strategy for rumor spreading

People of the modern world are using social network Web sites to communicate with others either known or unknown, for getting opinions of others and giving their opinions to others. The post, weblogs, effects or affects human mind, at least for some time. These posts take a part in choosing their decisions and play an important role. But the information present in the post is either information or just misinformation, i.e., just a rumor. People are confused to distinguish these posts in either a correct information or misinformation. It is important to decide whether this is information or just a rumor because it may cause a support of the wrong decision of the whole majority. In this paper, a mathematical framework is presented related to these matters. Firstly, we proposed a mathematical model of news spreading from some posts displayed in an online social network. The development of mathematical models of news propagation uses the epidemiological modeling technique. Then, we proposed criteria of rumor detection and verification for the model. In the case of rumor, a revised model is proposed with media awareness as a control strategy for reducing the rumor spreading.