nils-herrmann/clean_scirepeval huggingface dataset:
A switched-capacitor mm-wave VCO in 65 nm digital CMOS

A 34–40 GHz VCO fabricated in 65 nm digital CMOS technology is demonstrated in this paper. The VCO uses a combination of switched capacitors and varactors for tuning and has a maximum Kvco of 240 MHz/V. It exhibits a phase noise of better than −98 dBc/Hz @ 1-MHz offset across the band while consuming 12 mA from a 1.2-V supply, an FOMT of −182.1 dBc/Hz. A cascode buffer following the VCO consumes 11 mA to deliver 0 dBm LO signal to a 50Ω load.
Platform Leadership How Intel , Microsoft , and Cisco Drive Industry Innovation

Annabelle Gawer is Assistant Professor of Strategy and Management at INSEAD. Gawer is engaged in research work on the `why' and `how' of innovation strategies for firms operating in industries such as computers and telecommunications. She is affiliated with MIT research centers like the Internet and Telecom Convergence Consortium (ITC), which studies the possible evolution of the industry of computer-enhanced human communications and the Center for Innovation in Product Development (CIPD), an engineering research center.
Neurotoxicity of Synthetic Cannabinoids JWH-081 and JWH-210

Synthetic cannabinoids JWH-018 and JWH-250 in 'herbal incense' also called 'spice' were first introduced in many countries. Numerous synthetic cannabinoids with similar chemical structures emerged simultaneously and suddenly. Currently there are not sufficient data on their adverse effects including neurotoxicity. There are only anecdotal reports that suggest their toxicity. In the present study, we evaluated the neurotoxicity of two synthetic cannabinoids (JWH-081 and JWH-210) through observation of various behavioral changes and analysis of histopathological changes using experimental mice with various doses (0.1, 1, 5 mg/kg). In functional observation battery (FOB) test, animals treated with 5 mg/kg of JWH-081 or JWH-210 showed traction and tremor. Their locomotor activities and rotarod retention time were significantly (p<0.05) decreased. However, no significant change was observed in learning or memory function. In histopathological analysis, neural cells of the animals treated with the high dose (5 mg/kg) of JWH-081 or JWH-210 showed distorted nuclei and nucleus membranes in the core shell of nucleus accumbens, suggesting neurotoxicity. Our results suggest that JWH-081 and JWH-210 may be neurotoxic substances through changing neuronal cell damages, especially in the core shell part of nucleus accumbens. To confirm our findings, further studies are needed in the future.
Langerhans Cell Histiocytosis: Emerging Insights and Clinical Implications.

Langerhans cell histiocytosis is a disorder characterized by lesions that include CD207+ dendritic cells along with an inflammatory infiltrate. Langerhans cell histiocytosis has a highly variable clinical presentation, ranging from a single lesion to potentially fatal disseminated disease. The uncertainty as to whether Langerhans cell histiocytosis is a reactive or a neoplastic disease has resulted in a long-standing debate on this question, and the limited understanding of the pathogenesis of the disease has impeded clinical improvement for patients. The current standard of care for multisystem Langerhans cell histiocytosis, empirically derived chemotherapy with vinblastine and prednisone, cures fewer than 50% of patients, and optimal therapies for relapse and neurodegenerative disease remain uncertain. Recent research advances support a model in which Langerhans cell histiocytosis arises due to pathologic activation of the mitogen-activated protein kinase (MAPK) pathway in myeloid precursors. Redefinition of Langerhans cell histiocytosis as a myeloid neoplastic disorder driven by hyperactive ERK supports the potential of chemotherapy with efficacy against immature myeloid cells, as well as mutation-specific targeted therapy.
Design of an RGBW color VGA rolling and global shutter dynamic and active-pixel vision sensor

This paper reports the design of a color dynamic and active-pixel vision sensor (C-DAVIS) for robotic vision applications. The C-DAVIS combines monochrome eventgenerating dynamic vision sensor pixels and 5-transistor active pixels sensor (APS) pixels patterned with an RGBW color filter array. The C-DAVIS concurrently outputs rolling or global shutter RGBW coded VGA resolution frames and asynchronous monochrome QVGA resolution temporal contrast events. Hence the C-DAVIS is able to capture spatial details with color and track movements with high temporal resolution while keeping the data output sparse and fast. The C-DAVIS chip is fabricated in TowerJazz 0.18um CMOS image sensor technology. An RGBW 2×2-pixel unit measures 20um × 20um. The chip die measures 8mm × 6.2mm.
A comparative study of auditory and visual reaction time in males and females staff during shift duty in the hospital.

Auditory reaction time (ART) and visual reaction time (VRT ) between males & females during shift duty in hospital employees have been compared. ART and VRT were studied in 286 hospital employees (141 males and 145 females) during day and night shift duty in the age group of 20 to 60 years. Subjects were presented with two auditory stimuli, i.e. high pitch and low pitch sound and two visual stimuli, i.e. red and green light. The significance of difference of ART and VRT during day and night shift duty among males and females were compared with the use of standard error of difference between two means. The statistical difference was determined by ‘z’ test. ART during day shift in males (215.15 ± 47.52 ) were less than ART during day shift in females (233.97 ± 44.62), VRT during day shift in males (224.01 ± 30.43) were less than VRT during day shift in females (238.98 ± 29.69). ART during night shift in males (219.96 ± 48.51) were less than ART during night shift in females (237.28 ± 44.01), VRT during night shift in males (229.20 ± 31.92) were less than VRT during night shift in females (240.60 ± 31.71). Our results indicate that in the female, ART and VRT are greater than the male during the day shift and night shift, and the difference was found to be statistically significant. Although the reaction time is found to be more during the night shift as compared to day shift, yet the difference is not significant.
A method for on-wafer S-parameter measurement of a differential amplifier by using two-port network analyzer

By analyzing the relationship of S-parameter between two-port differential and four-port single-ended networks, a method is found for measuring the S-parameter of a differential amplifier on wafer by using a normal two-port vector network analyzer. With this method, it should not especially purchase a four-port vector network analyzer. Furthermore, the method was also suitable for measuring S-parameter of any multi-port circuit by using two-ports measurement set.
Waste Pickers Perceptions among Households in Cosmo City , South

Municipal solid waste is a major challenge facing developing countries . Amount of waste generated by developing countries is increasing as a result of urbanisation and economic growth . In Africa and other developing countries waste is disposed of in poorly managed landfills, controlled and uncontrolled dumpsites increasing environmental health risks . Households have a major role to play in reducing the amount of waste sent to landfills [4]. Recycling is accepted by developing and developed countries as one of the best solution in municipal solid waste management . Households influence the quality and amount of recyclable material recovery . Separation of waste at source can reduce contamination of recyclable waste material. Households are the key role players in ensuring that waste is separated at source and their willingness to participate in source separation of waste should be encouraged by municipalities and local regulatory authorities [6,7].
Priority actions for the non-communicable disease crisis

The UN High-Level Meeting on Non-Communicable Diseases (NCDs) in September, 2011, is an unprecedented opportunity to create a sustained global movement against premature death and preventable morbidity and disability from NCDs, mainly heart disease, stroke, cancer, diabetes, and chronic respiratory disease. The increasing global crisis in NCDs is a barrier to development goals including poverty reduction, health equity, economic stability, and human security. The Lancet NCD Action Group and the NCD Alliance propose five overarching priority actions for the response to the crisis--leadership, prevention, treatment, international cooperation, and monitoring and accountability--and the delivery of five priority interventions--tobacco control, salt reduction, improved diets and physical activity, reduction in hazardous alcohol intake, and essential drugs and technologies. The priority interventions were chosen for their health effects, cost-effectiveness, low costs of implementation, and political and financial feasibility. The most urgent and immediate priority is tobacco control. We propose as a goal for 2040, a world essentially free from tobacco where less than 5% of people use tobacco. Implementation of the priority interventions, at an estimated global commitment of about US$9 billion per year, will bring enormous benefits to social and economic development and to the health sector. If widely adopted, these interventions will achieve the global goal of reducing NCD death rates by 2% per year, averting tens of millions of premature deaths in this decade.
An SMDP-Based Resource Allocation in Vehicular Cloud Computing Systems

Vehicular ad hoc networks are expected to significantly improve traffic safety and transportation efficiency while providing a comfortable driving experience. However, available communication, storage, and computation resources of the connected vehicles are not well utilized to meet the service requirements of intelligent transportation systems. Vehicular cloud computing (VCC) is a promising approach that makes use of the advantages of cloud computing and applies them to vehicular networks. In this paper, we propose an optimal computation resource allocation scheme to maximize the total long-term expected reward of the VCC system. The system reward is derived by taking into account both the income and cost of the VCC system as well as the variability feature of available resources. Then, the optimization problem is formulated as an infinite horizon semi-Markov decision process (SMDP) with the defined state space, action space, reward model, and transition probability distribution of the VCC system. We utilize the iteration algorithm to develop the optimal scheme that describes which action has to be taken under a certain state. Numerical results demonstrate that the significant performance gain can be obtained by the SMDP-based scheme within the acceptable complexity.
Augmented Reality in Education 4.0

Global progress in the industrial field, which has led to the definition of the Industry 4.0 concept, also affects other spheres of life. One of them is the education. The subject of the article is to summarize the emerging trends in education in relation to the requirements of Industry 4.0 and present possibilities of their use. One option is using augmented reality as part of a modular learning system. The main idea is to combine the elements of the CPS technology concept with modern IT features, with emphasis on simplicity of solution and hardware ease. The synthesis of these principles can combine in a single image on a conventional device a realistic view at the technological equipment, complemented with interactive virtual model of the equipment, the technical data and real-time process information.
Understanding Alternating Minimization for Matrix Completion

Alternating minimization is a widely used and empirically successful heuristic for matrix completion and related low-rank optimization problems. Theoretical guarantees for alternating minimization have been hard to come by and are still poorly understood. This is in part because the heuristic is iterative and non-convex in nature. We give a new algorithm based on alternating minimization that provably recovers an unknown low-rank matrix from a random subsample of its entries under a standard incoherence assumption. Our results reduce the sample size requirements of the alternating minimization approach by at least a quartic factor in the rank and the condition number of the unknown matrix. These improvements apply even if the matrix is only close to low-rank in the Frobenius norm. Our algorithm runs in nearly linear time in the dimension of the matrix and, in a broad range of parameters, gives the strongest sample bounds among all subquadratic time algorithms that we are aware of. Underlying our work is a new robust convergence analysis of the well-known Power Method for computing the dominant singular vectors of a matrix. This viewpoint leads to a conceptually simple understanding of alternating minimization. In addition, we contribute a new technique for controlling the coherence of intermediate solutions arising in iterative algorithms based on a smoothed analysis of the QR factorization. These techniques may be of interest beyond their application here.
A precise and compact height of burst sensor for guided missiles

Height of Burst (HOB) sensor is one of the critical parts in guided missiles. While seekers control the guiding scheme of the missile, proximity sensors set the trigger for increased effectiveness of the warhead. For the well-developed guided missiles of Roketsan, a novel proximity sensor is developed. The design of the sensor is for multi-purpose use. In this presentation, the application of the sensor is explained for operation as a HOB sensor in the range of 3m–50m with ± 1m accuracy. Measurement results are also presented. The same sensor is currently being developed for proximity sensor for missile defence.
Agents that Learn to Explain Themselves

Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a technique for acquiring this understanding, implemented in a multimedia explanation system. The system determines the motivation for a decision by recalling the situation in which the decision was made, and replaying the decision under variants of the original situation. Through experimentation the agent is able to discover what factors led to the decisions, and what alternatives might have been chosen had the situation been slightly different. The agent learns to recognize similar situations where the same decision would be made for the same reasons. This approach is implemented in an artificial fighter pilot that can explain the motivations for its actions, situation assessments,
INTRUSION DETECTION SYSTEM BASED SNORT USING HIERARCHICAL CLUSTERING

One effort to protect the network from the threats of hackers, crackers and security experts is to build the Intrusion Detection System (IDS) on the network. The problem arises when new attacks emerge in a relatively fast, so a network administrator must create their own signature and keep updated on new types of attacks that appear. In this paper, it will be made an Intelligence Intrusion Detection System (IIDS) where the Hierarchical Clustering algorithm as an artificial intelligence is used as pattern recognition and implemented on the Snort IDS. Hierarchical clustering applied to the training data to determine the number of desired clusters. Labeling cluster is then performed; there are three labels of cluster, namely Normal, High Risk and Critical. Centroid Linkage Method used for the test data of new attacks. Output system is used to update the Snort rule database. This research is expected to help the Network Administrator to monitor and learn some new types of attacks. From the result, this system is already quite good to recognize certain types of attacks like exploit, buffer overflow, DoS and IP Spoofing. Accuracy performance of this system for the mentioned above type of attacks above is 90%.
Thermo-Compression Bonding for fine-pitch copper-pillar flip-chip interconnect - tool features as enablers of unique technology

Thermo-Compression Bonding (TCB) is a chip attach technology under investigation and implementation in multiple platforms. This paper is introducing this technology from the equipment features aspects, as well as from the materials/process aspects. The unique characteristics of the TCB technology over the existing chip attach technology (C2 mass reflow) are discussed in detail. The development of both equipment and processes at ASMPT and Intel resulted in deployment of the technology towards high Volume Manufacturing (HVM). Quality, process and equipment controls are implemented as part of the deployment, and will be discussed in this paper.
Applying Q-Learning to Flappy Bird

The field of machine learning is an interesting and relatively new area of research in artificial intelligence. In this paper, a special type of reinforcement learning, Q-Learning, was applied to the popular mobile game Flappy Bird. The QLearning algorithm was tested on two different environments. The original version and a simplified version. The maximum score achieved on the original version and simplified version were 169 and 28,851, respectively. The trade-off between runtime and accuracy was investigated. Using appropriate settings, the Q-Learning algorithm was proven to be successful with a relatively quick convergence time.
Improving Cloud Security using Secure Enclaves

Improving Cloud Security using Secure Enclaves by Jethro Gideon Beekman Doctor of Philosophy in Engineering – Electrical Engineering and Computer Sciences University of California, Berkeley Professor David Wagner, Chair Internet services can provide a wealth of functionality, yet their usage raises privacy, security and integrity concerns for users. This is caused by a lack of guarantees about what is happening on the server side. As a worst case scenario, the service might be subjected to an insider attack. This dissertation describes the unalterable secure service concept for trustworthy cloud computing. Secure services are a powerful abstraction that enables viewing the cloud as a true extension of local computing resources. Secure services combine the security benefits one gets locally with the manageability and availability of the distributed cloud. Secure services are implemented using secure enclaves. Remote attestation of the server is used to obtain guarantees about the programming of the service. This dissertation addresses concerns related to using secure enclaves such as providing data freshness and distributing identity information. Certificate Transparency is augmented to distribute information about which services exist and what they do. All combined, this creates a platform that allows legacy clients to obtain security guarantees about Internet services.
Multi-Tenant Slicing for Spectrum Management on the Road to 5G

The explosive data traffic demand in the context of the 5G revolution has stressed the need for network capacity increase. As the network densification has almost reached its limits, mobile network operators are motivated to share their network infrastructure and the available resources through dynamic spectrum management. Although some initial efforts have been made in this direction by concluding sharing agreements at a coarse granularity (i.e., months or years), the 5G developments require fine timescale agreements, mainly enabled by network slicing. In this article, taking into account the radical changes foreseen for next generation networks, we provide a thorough discussion of the challenges that network slicing brings in the different network parts, while introducing a new entity capable of managing the end-to-end slicing in a coherent manner. In addition, according to the paradigm shift of operators sharing their resources in a common centralized pool, we design a cooperative game to study the potential cooperation aspects among the participants. The experimental results highlight the performance and financial gains achievable by operators through multi-tenant slicing, providing them with the necessary incentives for network upgrade toward 5G.
Decentralized Energy Demand Regulation in Smart Homes

Smart grids offer better energy management for consumers as well as energy companies using bi-directional communication and control. With the advent of smart homes, energy companies can balance energy supply and demand to a large extent using many sensors/meters deployed. They can also nudge consumers to shift their demands to off-peak hours for load balancing and monetary benefits. We propose a decentralized demand scheduling algorithm that minimizes consumer discomfort and electricity cost of a household. Our algorithm utilizes only aggregated energy consumption of a household to derive optimal appliance level demand schedules. Furthermore, a low-complexity energy disaggregation algorithm is proposed to derive fine-grained appliance information and consumer preferences. We propose three important coefficients related to the energy usage of consumers. We utilize them to derive optimal day-ahead demand schedules. The decentralized algorithm is empirically evaluated using real-world energy usage data from open datasets, which include our own deployment. Our proposed scheduling algorithm saves up to 30% energy cost. This paper is one of the first to derive day-ahead schedules using real-world data from multiple households.
A Low-Cost Low-Power Ring Oscillator-Based Truly Random Number Generator for Encryption on Smart Cards

The design of a low-cost low-power ring oscillator-based truly random number generator (TRNG) macrocell, which is suitable to be integrated in smart cards, is presented. The oscillator sampling technique is exploited, and a tetrahedral oscillator with large jitter has been employed to realize the TRNG. Techniques to improve the statistical quality of the ring oscillatorbased TRNGs' bit sequences have been presented and verified by simulation and measurement. A postdigital processor is added to further enhance the randomness of the output bits. Fabricated in the HHNEC 0.13-μm standard CMOS process, the proposed TRNG has an area as low as 0.005 mm2. Powered by a single 1.8-V supply voltage, the TRNG has a power consumption of 40 μW. The bit rate of the TRNG after postprocessing is 100 kb/s. The proposed TRNG has been made into an IP and successfully applied in an SD card for encryption application. The proposed TRNG has passed the National Institute of Standards and Technology tests and Diehard tests.
The Algorithm of Islamic Jurisprudence (Fiqh) with Validation of an Entscheidungsproblem

The historic background of algorithmic processing with regard to etymology and methodology is translated into terms of mathematical logic and Computer Science. A formal logic structure is introduced by exemplary questions posed to Fiqh-chapters to define a logic query language. As a foundation, a generic algorithm for deciding Fiqhrulings is designed to enable and further leverage rule of law (vs. rule by law) with full transparency and complete algorithmic coverage of Islamic law eventually providing legal security, legal equality, and full legal accountability. This is implemented by disentangling and reinstating classic Fiqh-methodology (usul al-Fiqh) with the expressive power of subsets of First Order Logic (FOL) sustainably substituting ad hoc reasoning with falsifiable rational argumentation. The results are discussed in formal terms of completeness, decidability and complexity of formal Fiqh-systems. An Entscheidungsproblem for formal Fiqh-Systems is formulated and validated.