Miracle-dz/UniFAR-FTUs huggingface dataset:
PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization

Recently, a lot of research efforts have been made to optimize the large amounts of energy consumed by different devices in data centers, including servers, cooling, and the data center network (DCN). Unfortunately, current research addresses these devices mostly in a separate manner, leading to inferior optimization results. This paper proposes PowerNetS, a power optimization framework that coordinates servers and DCN, as well as cooling, for minimized power consumption of a data center. PowerNetS leverages workload correlation analysis for more energy savings during server and traffic consolidations. More importantly, PowerNetS tries to change the DCN topology during server consolidation, in order to have more intra-server traffic and shorter flows that go through fewer switches. For example, two virtual machines previously located on two different servers can now be migrated to the same server, so that the flow between them no longer needs to use switches, which allows more devices to sleep for energy savings without network performance degradation. PowerNetS has been implemented on a physical testbed with 6 servers and 10 virtual switches that are configured using a production 48-port OpenFlow switch. Our evaluation with Wikipedia, Yahoo! , and IBM traces shows that PowerNetS can save up to 51.6% of energy by coordinating servers and DCN, which is 44.3% and 15.8% more than two state-of-the-art baselines, respectively. By further coordinating with cooling to utilize different cooling efficiencies at different locations within a data center, PowerNetS can achieve 8.8%–14.6% additional energy savings.
A Pilot Study Verifying How the Curve Information Impacts on the Driver Performance with Cognition Model

Drivers' misjudgment is a significant issue for the curve safety. It is considered as a more influential factor than other traffic environmental conditions for inducing risk. The research suggested that the cognition theory could explain the process of drivers’ behavior at curves. In this simulator experiment, a principle cognition model was built to examine the rationality of this explanation. The core of this pilot study was using one of the driving decision strategies for braking at curves to verify the accuracy of the cognition model fundamentally. Therefore, the experiment designed three treatments of information providing modes. The result of the experiment presented that the warning information about curves in advance can move the position of first braking away from curves. This phenomenon is consistent with the model’s inference. Thus, the conclusion of this study indicates that the process of the drivers' behavior at curves can be explained by the cognition theory and represented by cognition model. In addition, the model’s characteristics and working parameters can be acquired by doing other research. Then based on the model it can afford the advice for giving the appropriate warning information that may avoid the driver’s mistake.
Chaos in a periodically forced chemostat with algal mortality

We study the possibility of chaotic dynamics in the externally driven Droop model. This model describes a phytoplankton population in a chemostat under periodic nutrient supply. Previously, it has been proven under very general assumptions, that such systems are not able to exhibit chaotic dynamics. We show that the simple introduction of algal mortality may lead to chaotic oscillations of algal density in the forced chemostat. Our numerical simulations show that the existence of chaos is intimately related to plankton overshooting in the unforced model. We provide a simple measure, based on stability analysis, for estimating the amount of overshooting. These findings are not restricted to the Droop model but also hold for other chemostat models with mortality. Our results suggest periodically driven chemostats as a simple model system for the experimental verification of chaos in ecology.
Alternative Sigma Factor σE Has an Important Role in Stress Tolerance of Yersinia pseudotuberculosis IP32953

ABSTRACT Yersinia pseudotuberculosis is an important pathogen that probably survives well in the modern food chain. However, little is known about the mechanisms that allow the growth of this pathogen in foods under stress conditions. The expression of rpoE encoding σE was defined by quantitative real-time reverse transcription-PCR. Expression of rpoE was induced at 3°C, 37°C, and 42°C, under exposure to 3% NaCl, 3% ethanol, or high and low pH, in relation to its expression at the optimum growth temperature of 28°C of Y. pseudotuberculosis. Mutation of rpoE either impaired or abolished growth under stresses caused by low or high temperature, low pH, and ethanol. In addition, the growth temperature range of the mutant was significantly diminished compared to that of the wild-type strain IP32953. The results were confirmed with complementation of the mutant. Thus, σE plays a significant role in the stress tolerance of Y. pseudotuberculosis IP32953 and probably contributes to the survival of this pathogen in the food chain.
Attacking FHE-based applications by software fault injections

The security of fully homomorphic encryption is often studied at the primitive level, and a lot of questions remain open when the cryptographer needs to choose between incompatible options, like INDCCA1 security versus circular security or search-to-decision reduction. The aim of this report is to emphasize the well known (and often underestimated) fact that the ability to compute every function, which is the most desired feature of Homomorphic Encryption schemes, is also their main weakness. We show that it can be exploited to perform very realistic attacks in the context of secure homomorphic computations in the cloud. In order to break a fully homomorphic system, the cloud provider who runs the computation will not target the primitive but the overall system. The attacks we describe are a combination between safe-errors attacks (well known in the smart cards domain) and reaction attacks, they are easy to perform and they can reveal one secret key bit per query. Furthermore, as homomorphic primitives gets improved, and become T times faster with K times smaller keys, these attacks become KT times more practical. Our purpose is to highlight the fact, that if a semantically-secure model is in general enough to design homomorphic primitives, additional protections need to be adopted at a system level to secure cloud applications. We do not attack a specific construction but the entire idea of homomorphic encryption, by pointing out all the possible targets of this attack (encrypted data, bootstrapping keys, transciphering keys, etc.). We also propose some possible countermeasures (or better precautions) in order to prevent the loss of information.
A role for barcoding in the study of African fish diversity and conservation

Africa has a rich diversity of marine and freshwater fishes, but very little taxonomic expertise or funding to describe it. New approaches to using modern technology, such as DNA barcoding, can facilitate collaboration between field biologists, reference collections and sequencing facilities to speed up the process of species identification and diversity assessments, provided specimen vouchers, tissues, photographs of the specimen and DNA sequences (barcodes) are clearly linked. The FISH-BOL project in Africa aims to establish a collaborative Pan-African regional working group to facilitate barcoding of fish across the continent and the surrounding FAO marine regions. This is being established through existing African biodiversity networks and global biodiversity programmes that are already in place. Barcoding is expected to inform African fisheries management and conservation through more accurate identification of species and their different life-history stages, by speeding up biodiversity assessments. Barcoding is an important development, contributing towards an evolutionary history perspective on which to base Africa's conservation strategies.
New Wari Mortuary Structures in the Ayacucho Valley, Peru

Recent archaeological salvage excavations in the Ayacucho Valley of the Peruvian Central Highlands resulted in the discovery of two totally new mortuary structure forms for the region and for the Wari culture in particular. The first form consists of two rectangular mortuary chambers, each with a small east-facing entrance and holding the interred remains of several individuals. The second form consists of several cylindrical cists, each containing the remains of a single individual. We describe both mortuary forms and compare them to other known Wari mortuary structures of the region. Since both chambers evidently were accessible, we also discuss their possible implications with regard to ancestor worship, keeping in mind that an important aspect of Inka ayllu organization was the veneration of ancestors' mummified bodies kept in accessible mortuary buildings.
Role Separation in Strategies for Collaboration Support

Collaboration support consists of process and (optionally) technology support. For these two types of support we can distinguish a design task (to design the process and the technology), an application task (to apply the process and to use the technology) and a management task (to manage the implementation and control of the process and to manage the maintenance of the technology). In our interviews we found that in many organizations only one role is distinguished for collaboration support; a facilitator. The facilitator often does the design and execution of the collaboration process and in many cases also takes care of the project management (e.g. acquisition of sessions, management of facilitation team and business administration) and technology application (operating the technology). External roles are often the design of the technology and the maintenance of the technology (hardware & software maintenance).
Coding-aware real-time routing in multi-hop wireless sensor networks

Past work has proven that network coding has great potential to improve network throughput in wireless networks. However, coding-aware routing protocols have weakness regarding delivery of time-sensitive data in lossy links. Nevertheless, the improvement from network coding is negligible when using realtime data delivery. We propose coding-aware real-time routing called CARTR that schedules coded and uncoded data in a link. We implement CARTR over IEEE 802.11 and our experimental studies reveal that CARTR improves throughput by 20%.
Silicon nanowires honeycomb array fabrication with low-cost top-down technology on (111) silicon wafer

This paper presents a low-cost top-down fabrication technology for silicon nanowires (SiNWs) honeycomb array on a monolayer silicon wafer while only conventional micro-fabrication technology is required. Based on the anisotropic wet-etching mechanism for commercial (111) silicon wafer, highly downscaled silicon walls can be formed between the arbitrary adjacent etched cavities with a controllable size-reduction process. By arranging the cavities in a regular array, silicon walls with same width along three orientations can be fabricated synchronously. After the self-limiting oxidation, SiNWs are generated on the top center of each wall with 120° angle forming a honeycomb array.
De novo CD5+ diffuse large B‐cell lymphoma: Adverse outcomes with and without stem cell transplantation in a large, multicenter, rituximab treated cohort

De novo CD5+ diffuse large B‐cell lymphomas (DLBCL) are a distinct subgroup of DLBCL with poor prognosis. However the role of rituximab‐containing therapy and salvage stem cell transplantation in this patients’ population remain to be defined. We retrospectively reviewed clinical features and outcomes of 102 patients with de novo CD5+ DLBCL treated with rituximab‐containing therapy at nine different institutions. By Hans’ criteria, 64 patients had activated B‐cell (ABC) subtype, 24 germinal center B‐cell (GCB) subtype, and 14 were not evaluated. No patients had a myc translocation. Eighty‐three patients were treated with rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone (R‐CHOP), 7 with rituximab, etoposide, cyclophosphamide, doxorubicin, vincristine, prednisone (R‐EPOCH), and 6 with R‐CHOP with methotrexate, 3 g/m2. The overall response rate to front‐line therapy was 85%. The 3‐year progression free survival (PFS) and overall survival (OS) for all patients were 40 and 65%, respectively. The 3‐year PFS for ABC‐ and GCB‐subtypes was 34 and 45%, respectively. The 3‐year OS for ABC‐ and GCB‐subtypes was 62 and 67%, respectively. The median time to second treatment failure was 3 months and 1 month for ABC‐ and GCB‐subtypes, respectively. Twenty of 28 (71%) transplanted patients with autologous, allogeneic, or both, relapsed. This study confirms the poor prognosis of de novo CD5+ DLBCL in a large multi‐center cohort despite initial rituximab‐containing chemotherapy and suggests that stem cell transplantation fails to salvage the majority of these patients. Approaches to prevent recurrence and/or novel therapies for relapsed disease are needed for this subgroup of DLBCL patients. Am. J. Hematol. 91:395–399, 2016. © 2016 Wiley Periodicals, Inc.
Analysis of connectivity in the resting state of the default mode of brain function: a major role for the cerebellum?

Low frequency (< 0.1 Hz) oscillations in resting state fMRI signal have been studied for some years and are now attracting interest in terms of their relationship to the so-called 'default mode' of the brain. The default mode network is identified as those brain areas which are active during rest and is believed to be associated with background environmental surveillance. In this study, we carry out a comprehensive analysis of the default mode network in the resting state across the whole brain, using a combination of model-based and data-driven approaches: a cosine basis set approach, the independent component analysis (ICA) and functional connectivity analysis. The correlated regions with low frequency fluctuations revealed by all three methods include a number of key nodes of the proposed default-mode network. Most importantly we have also identified the cerebellum and angular gyrus as possible major default mode nodes.
Identifying a species-specific region of yeast TF11B in vivo

The general transcription factor IIB (TFIIB) is required for RNA polymerase II transcription in eukaryotes. It provides a physical link between the TATA-binding protein (TBP) and the RNA polymerase and is a component previously suggested to respond to transcriptional activators in vitro. In this report, we compare the yeast (Saccharomyces cerevisiae) and human forms of the protein in yeast cells to study their functional differences. We demonstrate that human TFIIB fails to functionally replace yeast TFIIB in yeast cells. By analyzing various human-yeast hybrid TFIIB molecules, we show that a 14-amino-acid region at the amino terminus of the first repeat of yeast TFIIB plays an important role in determining species specificity in vivo. In addition, we identify four amino acids in this region that are critical for an amphipathic helix unique to yeast TFIIB. By site-directed mutagenesis analyses we demonstrate that these four amino acids are important for yeast TFIIB's activity in vivo. Finally, we show that mutations in the species-specific region of yeast TFIIB can differentially affect the expression of genes activated by different activators in vivo. These results provide strong evidence suggesting that yeast TFIIB is involved in the process of transcriptional activation in living cells.
Weak Password Security: An Empirical Study

As businesses across the globe become more heavily dependent on information technology, safeguarding digital information assets against misuse has assumed vital importance. Passwords have become a necessary part of our everyday lives, controlling access to the systems and applications hosting digital information. The growth of IT necessitates the use of passwords as the basic tools for safeguarding digital information. The growth of e-commerce as well as the use of multiple platforms and applications has resulted in multiple accounts for end users, who have to manage multiple passwords in this current global business scenario. In fact, some users manage as many as 15 separate passwords (Ives et al., 2004). Though important, passwords often remain below the level of active, conscious thought for many. Users are caught in a dilemma of devising a password that is simultaneously easy to remember and secure enough for the desired purpose (Bort, 2002). Often passwords aren’t secure enough (Aytes et al., 2004; Bort, 2002; Cazier et al., 2006; Fontana, 2005; Ives et al., 2004; Kelly, 2004; Mulligan et al., 2005; Stanton et al., 2005; Wakefield, 2004). In fact, the SysAdmin, Audit, Network, Security (SANS) Institute indicates that weak or nonexistent passwords are among the top 10 computer vulnerabilities in homes and businesses (Wakefield, 2004).
Forced Expression of MMP9 Rescues the Loss of Angiogenesis and Abrogates Metastasis of Pancreatic Tumors Triggered by the Absence of Host SPARC

Pancreatic adenocarcinoma is characterized by desmoplasia, local invasion, and metastasis. These features are regulated in part by MMP9 and SPARC. To explore the interaction of SPARC and MMP9 in cancer, we first established orthotopic pancreatic tumors in SPARC-null and wild-type mice with the murine pancreatic adenocarcinoma cell line, PAN02. MMP9 expression was higher in tumors from wild-type compared to SPARC-null mice. Coincident with lower MMP9 expression, tumors grown in SPARC-null mice were significantly larger, had decreased ECM deposition and reduced microvessel density compared to wild-type controls. In addition, metastasis was enhanced in the absence of host SPARC. Therefore, we next analyzed the orthotopic tumor growth of PAN02 cells transduced with MMP9 or a control empty vector. Forced expression of MMP9 by the PAN02 cells resulted in larger tumors in both wild-type and SPARC-null animals compared to empty vector controls and further diminished ECM deposition. Importantly, forced expression of MMP9 within the tumor reversed the decrease in angiogenesis and abrogated the metastatic potential displayed by control tumors grown in SPARC-null mice. Finally, contrary to the in vivo results, MMP9 increased cell migration in vitro, which was blocked by the addition of SPARC. These results suggest that SPARC and MMP9 interact to regulate many stages of tumor progression including ECM deposition, angiogenesis and metastasis.
The Cambridge Handbook of Western Mysticism and Esotericism

Mysticism and esotericism are two intimately related strands of the Western tradition. Despite their close connections, however, scholars tend to treat them separately.Whereas the study ofWestern mysticism enjoys a long and established history, Western esotericism is a young field. The Cambridge Handbook of Western Mysticism and Esotericism examines both of these traditions together. The volume demonstrates that the roots of esotericism almost always lead back to mystical traditions, while the work of mystics was bound up with esoteric or occult preoccupations. It also shows why mysticism and esotericism must be examined together if either is to be understood fully. Including contributions by leading scholars, this volume features essays on such topics as alchemy, astrology, magic, Neoplatonism, Kabbalism, Renaissance Hermetism, Freemasonry, Rosicrucianism, number symbolism, Christian theosophy, spiritualism, and much more. This handbook serves as both a capstone of contemporary scholarship and a cornerstone of future research.
DS-CDMA code acquisition in the presence of correlated fading - Part I: theoretical aspects

This paper deals with the analysis of the code-acquisition process performed by a mobile terminal in a code-division multiple-access cellular system. The fundamental contribution is the setting of a theoretical framework for code-acquisition analysis, accounting for the presence of fading and shadowing with specified coherence time. A multidwell architecture is considered, accounting for different verification strategies. The MAX/TC detection criterion is used, and the acquisition performance is analyzed, following both the direct and flow-graph approaches. Expressions for the acquisition time probability density function under different assumptions are given, as well as closed-form expressions for the mean and variance of the acquisition time. Practical applications and numerical results are reported in the Part II companion paper.
Random projection based k Nearest Neighbor rule for semiconductor process fault detection

Fault detection technique is essential for improving overall equipment efficiency of semiconductor manufacturing industry. It has been recognized that fault detection based on k nearest neighbor rule (kNN) can deal with some unique characteristics of semiconductor processes, such as multimode batch trajectories and nonlinearity. However, the computation complexity and storage space required in neighbors searching of kNN prevent it from online monitoring, especially for high dimensional cases. To deal with it, principal component based kNN is also presented in literature, in which dimension reduction by principal component analysis (PCA) is done before kNN rule applied to perform fault detection. However, the process of dimension reduction by PCA may distort the distances of pairwise samples (trajectories). Thus the performance of kNN for fault detection degenerates after projection by PCA. To overcome this drawback, we propose a new fault detection method based on random projection and kNN rule, which combines the advantages of random projection in distance preservation and kNN rule in dealing with the problems of multimodality and nonlinearity that often coexist in semiconductor processes. Industrial example illustrates the performance of the proposed method.
Heat Shock Response by the Hyperthermophilic Archaeon Pyrococcus furiosus

ABSTRACT Collective transcriptional analysis of heat shock response in the hyperthermophilic archaeon Pyrococcus furiosus was examined by using a targeted cDNA microarray in conjunction with Northern analyses. Differential gene expression suggests that P. furiosus relies on a cooperative strategy of rescue (thermosome [Hsp60], small heat shock protein [Hsp20], and two VAT-related chaperones), proteolysis (proteasome), and stabilization (compatible solute formation) to cope with polypeptide processing during thermal stress.