Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS AND DESIGN OF ACTIVE-R OSCILLATORS USING THE CURRENT-FEEDBACK OP-AMP

A systematic approach has been employed to synthesize sinusoidal active-R oscillators using the current feedback op-amps. This approach is an extension to the method employed in [1] for the design of active-R oscillators using voltage op-amp. It is found that the active-R technique applied to current-feedback op-amps will be suitable for high frequency oscillator circuits with high output amplitude. A design procedure is developed providing sinusoidal oscillations up to 50 MHz with several volts of amplitude. The presented experimental results are in good agreement with the theoretical predictions.
GLOBALLY INDEPENDENT COORDINATES FOR REAL-TIME VEHICLE SYSTEM SIMULATION DETC98/DAC-5587

Models of the dynamics of multibody systems generally result in a set of differential‐ algebraic equations (DAE). State‐space methods for solving the DAE of motion are based on reduction of the DAE to ordinary differential equations (ODE), by means of local parameterizations of the constraint manifold that must be often modified during a simulation. In this paper it is shown that, for vehicle multibody systems, generalized coordinates that are dual to suspension and/or control forces in the model are independent for the entire range of motion of the system. In addition to the immediate advantage of avoiding the computationally expensive redefinition of local parameterization, the existence of globally independent coordinates leads to efficient algorithms for recovery of dependent generalized coordinates. A topology based approach to identify efficient computational sequences is presented. Numerical examples demonstrate the improved performance of the proposed approach, relative to the conventional Cartesian coordinate formulation.
Noise‐reduction circuitry in hearing aids: (2) Goals and current strategies

Last month, the author examined noise-reduction efforts outside the hearing aid industry. In this, the conclusion of a twopart article, he discusses the two major goals of noise reduction and then describes and compares the two principal types of noise-reduction strategies. Note: The article refers to audio samples. These samples are contained on a Noise Reduction demonstration CD, which serves as an audio accompaniment to the descriptions and figures in this article. The CD is available free of charge from Oticon, Inc, by calling 800/526-3921.
Do we really understand tacit knowledge

This paper advances the claim that tacit knowledge has been greatly misunderstood in management studies. Nonaka and Takeuchi’s widely adopted interpretation of tacit knowledge as knowledge awaiting “translation” or “conversion” into explicit knowledge is erroneous: contrary to Polanyi’s argument, it ignores the essential ineffability of tacit knowledge. In the paper I show why the idea of focussing on a set of tacitly known particulars and “converting” them into explicit knowledge is unsustainable. However, the ineffability of tacit knowledge does not mean that we cannot discuss the skilled performances in which we are involved. We can discuss them provided we stop insisting on “converting” tacit knowledge and, instead, start recursively drawing our attention to how we draw each other’s attention to things. Instructive forms of talk help us re-orientate ourselves to how we relate to others and the world around us, thus enabling us to talk and act differently. Following Wittgenstein and Shotter, I argue that we can command a clearer view of our skilled performances if we “re-mind” ourselves of how we do things, so that distinctions, which we had previously not noticed, and features, which had previously escaped our attention, may be brought forward. We cannot operationalise tacit knowledge but we can find new ways of talking, fresh forms of interacting and novel ways of distinguishing and connecting. Tacit knowledge cannot be “captured”, “translated”, or “converted” but only displayed and manifested, in what we do. New knowledge comes about not when the tacit becomes explicit, but when our skilled performance is punctuated in new ways through social interaction. Presented to Knowledge Economy and Society Seminar, LSE Department of Information Systems, 14 June 2002
Rebalancing versus buy and hold: theory, simulation and empirical analysis

We consider returns from rebalanced and buy and hold portfolios consisting of the same stocks. Theoretical properties are derived using Jensen’s inequality and the Hölder’s Defect Formula. Simulations are used to confirm theory and to investigate ambiguous cases where theory is silent. Rebalancing decreases total return volatility, while buy and hold produces greater expected return. Results are more opaque with respect to Sharpe Ratios and expected geometric means. Our empirical tests are based on portfolios composed of the risk-free asset, CRSP market value returns and returns from five Fama–French industries. While rebalancing reduces volatility and momentum effect, our tests largely favor the buy and hold strategy due to the high relative returns enjoyed by stocks vis-a-vis the risk-free asset. Transactions cost for rebalancing the portfolio are economically negligible.
Exploring the unified design-space of custom-instruction selection and resource sharing

Resource sharing can be applied during data-path synthesis of Instruction-Set Extensions (ISEs) in order to obtain flexibility and area efficiency. The design space of resource sharing solutions can be explored in order to find the trade-offs between area and instruction latency that suit the design goals. On the other hand, area is a proven global constraint that should be considered in the ISE selection process, since maximizing speedup as a unique goal assumes the availability of unlimited resources. Thus, a selection process should be aware of the area requirements of a subset of ISE candidates. However, when resource sharing is used for ISE data-path synthesis, the area and profitability of the subset cannot be known until resource sharing is attempted. This paper proposes a hardware/software partitioning framework in which the selection of ISEs interacts with the resource sharing process in order drive the exploration of the selection design space towards implementation alternatives that are likely to increase the utilization of the given area resources. On the benchmarks analyzed in this paper, our techniques find solutions that under a fixed area constraint, achieve speedups from 8% to 238% higher than previous selection techniques. Furthermore, unlike previous approaches, the proposed framework allows the exploration, at the selection level, of the design space of trade-offs between speedup and area that are available to the designer.
Applying Compression to a Game's Network Protocol

This report presents the results of applying different compression algorithms to the network protocol of an online game. The algorithm implementations compared are zlib, liblzma and my own implementation based on LZ77 and a variation of adaptive Huffman coding. The comparison data was collected from the game TomeNET. The results show that adaptive coding is especially useful for compressing large amounts of very small packets.
Optimum detector arrangements for in-beam PET with direct time-of-flight

Due to its effectiveness in monitoring highly tumourconformed charged hadron therapy, in-beam positron emission tomography (in-beam PET [1]) is strongly desirable at charged hadron facilities under construction [2] or planning [3]. We present, therefore, optimized arrangements of the γ-ray detectors for next-generation in-beam PET scanners. A versatile, fully 3D, maximum likelihood expectation maximization (MLEM) algorithm coupled to a simulation routine was applied to several high-resolution closed-ring or dual-head tomographs. In order to evaluate the quality of images obtained with several camera configurations in real therapeutic situations, β-activity distributions calculated from a treatment plan with the PosGen Monte-Carlo code [4] were considered. Results regarding the optimisation of in-beam PET for monitoring head-andneck irradiation can be found in [5, 6, 7]. Here we refrain to the more challenging situation, due to the large image volume, of monitoring the irradiation of the pelvis. Fig. 1 depicts the positioning strategy for monitoring irradiation of the pelvis with in-beam PET and Fig. 2 shows the corresponding reconstructed images obtained without (top and middle rows) and with (bottom) time-of-flight (TOF) capable detectors. The sagittal views in Fig. 2 show the rectum of the patient, a radiosensitive organ, lying adjacent to the irradiated tumour and, therefore, elucidate how in-beam PET monitoring brings important information to the radiooncologist. Clearly, the closed-ring detector configuration (top row) yields the best images and its implementation feasibility is discussed in [5, 6]. Although the field of view of the dual-head tomograph with φ = 46 ◦ (middle row) covers the irradiated volume completely, the corresponding reconstructed images contain less information due to the image degradation arising from the gaps between the two detector heads [5, 6]. This degradation is refrained [5, 7] if TOF-capable detectors with sufficiently good coincidence time resolution are used (bottom row). In summary, in-beam PET monitoring of large fields benefits most from a closed-ring tomograph if ultra-fast TOF-capable detectors are not available at large production scales. A non-TOF dual-head tomograph with φ = 46 yields satisfactory results for monitoring head-and-neck irradiation due to the smaller target volume (not shown). References [1] W. Enghardt et al., “Charged hadron tumour therapy monitoring by means of PET”, NIM A 525 (2004) 284. [2] H. Eickhoff et al., “HICAT The German hospital-based light ion cancer therapy project”, PAC’03, Portland, OR, p. 694.
Functional impairment of melanoma-associated p16(INK4a) mutants in melanoma cells despite retention of cyclin-dependent kinase 4 binding.

PURPOSE Melanoma-associated germ-line mutations affecting the tumor suppressor and cyclin-dependent kinase (CDK) inhibitor, CDKN2A/p16(INK4a) have been identified in >100 melanoma-prone families. To predict the melanoma risk for carriers of specific mutations, it is useful to test the function of the mutant proteins in biochemical assays; however, it is unclear how well these results correlate with their cellular effects. We examined the relationship between loss of CDK binding by mutant proteins and various measures of cellular growth in melanoma cells. EXPERIMENTAL DESIGN The cellular activities of four melanoma-associated p16(INK4a) mutations (Arg24Pro, Ala36Pro, Met53Ile, and Val126Asp) were compared by use of inducible expression in stably transfected melanoma cells, deficient in expression of the endogenous protein, and compared with their ability to bind CDK4. RESULTS The cell cycle-inhibitory activity of all of the mutants was profoundly reduced, and partially retained capacity for CDK4 binding in functional assays did not correlate with significant preservation of cell cycle-regulatory function. CONCLUSION Testing of p16(INK4a) interactions with CDKs in protein-binding assays is an unreliable predictor of mutant p16(INK4a) function in cells. In addition to exhibiting reduced stability, these mutant proteins may also be defective in interaction with cellular targets other than CDKs.
Evaluating Project Proposals

OVERVIEW: For small- and medium-sized enterprises (SMEs), generating good ideas for R&D projects is only a start. Identifying and prioritizing the ones worth pursuing can be equally challenging and time-consuming. This study, based on a survey of SMEs in Kanagawa Prefecture, Japan, introduces a simple way of thinking about the assessment problem. The technique enables R&D project planners to score and rank proposed projects based on the difference between the investment of resources needed to assure success and the investment that planners predict would be feasible under present business circumstances. By taking into account variation in how resources are weighted across industries, the technique can be used by a broad range of firms to determine which proposed projects have the highest probability of success.
Study of Multi-Agent Task Model Based on Product Structure Breakdown

From the view of task modeling of project process in product data management (PDM) system, a user-task allocation model is put forward based-on product breakdown structure for distributed collaborative product design. The constraints model of function mapping was established between product structure and task breakdown structure. The colored Petri net was introduced into PDM system as the modeling tool to realize product structure model-driven project task management mode and to execute dynamic visible design task scheduling. It is explored to apply multi-agent system to carry out intelligent task management and dispatching. The agent communication and task dispatching framework were implemented.
Cooperative Bit-Compressed Authentication Scheme against Compromised Node Attacks in Wireless Sensor Networks

Sensor nodes deployed at hostile environments suffer compromise node attacks, in which an adversary injects counterfeit data into the sink causing error detection at upper level and energy wastage in en-route sensor nodes. A novel authentication scheme known as, Cooperative BitCompressed Authentication (CBA) is based on random graph characteristic of sensor node deployment and a cooperative bit-compressed authentication scenario with probability of neighboring nodes providing the necessary condition for CBA authentication. In this safest en-route is found out using client puzzle. Early detection and filtering of injected false data with CBA technique greatly saves energy adding a minor extra overhead at the en-route sensor nodes. The accompanied authentication information is bandwidth-efficient. Filtering of false data reduces the burden of the sink and in addition only very small fraction of injected bogus data needs to be checked by the sink. The high filtering probability, high reliability, throughput and energy saving of the CBA scheme is demonstrated in simulation results.
Dimensions of Retention: Findings from Quantitative and Qualitative Approaches.

Quantitative and qualitative methods were used to study retention and first-semester grade point average at Boise State University (Idaho), a metropolitan university with many commuter students. The quantitative portion of the study was based on questionnaires completed by 235 freshmen; the qualitative part was based on interviews with a different, random group of 25 freshmen. It was found that first-term grade point average was the best predictor of persistence, and both approaches confirmed the importance of faculty contact to early academic success. However, the qualitative study noted that students most in need of faculty contact often used poor grades as a reason not to talk to professors. Both measures also showed how self-reporting can lack accuracy: In the quantitative study, students with higher self-assessments of academic and psychological readiness for college were less likely to persist; in the qualitative study, students also did not always make accurate judgments about academic performance and chances for continuing. The quantitative study found no effects for age or having children or being employed, but the qualitative study showed some effects for nontraditional students. It was concluded that diverse student bodies require a variety of approaches to best understand retention. (Contains nine references). (Author/SW) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** DIMENSIONS OF RETENTION: FINDINGS FROM QUANTITATIVE AND QUALITATIVE APPROACHES Marcia J. Belcbeir Coordinator, Office of Institutional Assessment Boise State University 1910 University Drive
Automation of functional annotation of genomes and transcriptomes

Functional annotation represents a means to investigate and classify genes and transcripts according to their function within a given organism. This paper presents Massive Automatic Functional Annotation (MAFA - Web), which is an online free bioinformatics tool that allows automation, unification and optimization of functional annotation processes when dealing with large volumes of sequences. MAFA includes tools for categorization and statistical analysis of associations between sequences. We have evaluated the performance of MAFA with a set of data taken from Diploria-Strigosatranscriptome (using an 8-core computer, namely E7450 @ 2,40GHZ with 256GB RAM), processing rates of 2,7 seconds per sequence (using Uniprot database) and 50,0 seconds per sequence (using Non-redundant from NCBI database) were found together with particular RAM usage patterns that depend on the database being processed (1GB for Uniprot database and 9GB for Non-redundant database). Aviability: https://github.com/BioinfUD/MAFA .
Evaluating the metabolism of high producing Holstein dairy cows following bolus intravenous glucose administration.

________________________________________________________________________________________ CHALMEH, A. , M. POURJAFAR, S. NAZIFI: Evaluating the metabolism of high producing Holstein dairy cows following bolus intravenous glucose administration. Vet. arhiv 85, 621-633, 2015. ABSTRACT Providing energy demands with emphasis on glucose supply can prevent metabolic disorders in high producing dairy cows. Hence, we hypothesized that bolus intravenous glucose administration may change the concentrations of circulating metabolic biomarkers in order to prevent and control metabolic dysfunctions in dairy cows. Twenty-fi ve multiparous, high producing Holstein dairy cows were divided into 5 equal groups containing early, mid and late lactation, and far-off and close-up dry cows. All cows received dextrose 50 % intravenously at 500 mg/kg, 10 mL/kg/hour. Blood samples were collected from all animals prior to and 1, 2, 3 and 4 hours after dextrose 50 % infusion, and sera were separated to determine glucose, insulin, non-esterifi ed fatty acid, β-hydroxybutyric acid, cholesterol, triglyceride, high, low and very low density lipoproteins. Signifi cantly decreasing patterns of non-esterifi ed fatty acid and β-hydroxybutyric acid were seen in early and mid-lactation and close-up dry cows after glucose administration (P 0.05). The results of this study demonstrated that bolus intravenous glucose infusion can infl uence metabolism in high producing Holstein dairy cows. The changing patterns of circulating metabolic profi le indicated that glucose is an important direct controller of metabolic interactions and responses in dairy cows in various physiological states.
Recent results in compressive sensing based image inpainiting algorithms and open problems

Many image inpainiting (IMIN) algorithms have been developed to restore corrupted images in last decades. However, traditional IMIN algorithms do not learn the sparse structure of the corrupted images. Hence, it is very hard to renovate the images accurately. In contrast to the conventional algorithms, compressive sensing based IMIN algorithms can remove strong noise as well as can restore images by virtual of learning the inherent sparse structure in images. This paper introduces recent results in compressive sensing based IMIN algorithms and presents corresponding simulation examples to validate the proposed algorithms. In addition, we also summarize some open problems and point out some potential approaches to solve these problems.
A new ensemble of features for breast cancer diagnosis

In this paper, an automatic Computer Aided Diagnosis (CAD) system is completely designed for breast cancer diagnosis and it is verified on a publicly available mammogram dataset constructed during Image Retrieval in Medical Applications (IRMA) project. This database comprises three different patch types indicating the health status of a person. These types are normal, benign cancer, and malignant cancer and they are labeled by the radiologists for the IRMA project. In the realization of CAD system, all mammogram patches are firstly preprocessed performing a histogram equalization followed by Non-Local Means (NLM) filtering. Then, the Local Configuration Pattern (LCP) algorithm is performed for feature extraction. Besides, some statistical and frequency-domain features are concatenated to LCP-based feature vectors. The obtained new feature ensemble is used with four well-known classifiers which are Fisher's Linear Discriminant Analysis (FLDA), Support Vector Machines (SVM), Decision Tree, and k-Nearest Neighbors (k-NN). A maximum of 94.67% recognition accuracy is attained utilizing the new feature ensemble whereas 90.60% was found if only LCP-based feature vectors are used. This consequence obviously reveals that the new feature ensemble is more representative than an LCP-based feature vector by itself.
Hypnoguard: Protecting Secrets across Sleep-wake Cycles

Attackers can get physical control of a computer in sleep (S3/suspend-to-RAM), if it is lost, stolen, or the owner is being coerced. High-value memory-resident secrets, including disk encryption keys, and private signature/encryption keys for PGP, may be extracted (e.g., via cold-boot or DMA attacks), by physically accessing such a computer. Our goal is to alleviate threats of extracting secrets from a computer in sleep, without relying on an Internet-facing service. We propose Hypnoguard to protect all memory-resident OS/user data across S3 suspensions, by first performing an in-place full memory encryption before entering sleep, and then restoring the plaintext content at wakeup-time through an environment-bound, password-based authentication process. The memory encryption key is effectively "sealed" in a Trusted Platform Module (TPM) chip with the measurement of the execution environment supported by CPU's trusted execution mode (e.g., Intel TXT, AMD-V/SVM). Password guessing within Hypnoguard may cause the memory content to be permanently inaccessible, while guessing without Hypnoguard is equivalent to brute-forcing a high-entropy key (due to TPM protection). We achieved full memory encryption/decryption in less than a second on a mainstream computer (Intel i7-4771 CPU with 8GB RAM, taking advantage of multi-core processing and AES-NI), an apparently acceptable delay for sleep-wake transitions. To the best of our knowledge, Hypnoguard provides the first wakeup-time secure environment for authentication and key unlocking, without requiring per-application changes.
A BiLSTM-CRF PoS-tagger for Italian tweets using morphological information

English. This paper presents some experiments for the construction of an highperformance PoS-tagger for Italian using deep neural networks techniques (DNN) integrated with an Italian powerful morphological analyser that has been applied to tag Italian tweets. The proposed system ranked third at the EVALITA2016PoSTWITA campaign. Italiano. Questo contributo presenta alcuni esperimenti per la costruzione di un PoS-tagger ad alte prestazioni per l’italiano utilizzando reti neurali ‘deep’ integrate con un potente analizzatore morfologico che è stato applicato all’annotazione di tweet. Il sistema si è classificato terzo nella campagna di valutazione EVALITA2016-PoSTWITA.