Miracle-dz/UniFAR-FTUs huggingface dataset:
Locally Private k-Means Clustering

We design a new algorithm for the Euclidean $k$-means problem that operates in the local model of differential privacy. Unlike in the non-private literature, differentially private algorithms for the $k$-means incur both additive and multiplicative errors. Our algorithm significantly reduces the additive error while keeping the multiplicative error the same as in previous state-of-the-art results. Specifically, on a database of size $n$, our algorithm guarantees $O(1)$ multiplicative error and $\approx n^{1/2+a}$ additive error for an arbitrarily small constant $a$, whereas all previous algorithms in the local model on had additive error $\approx n^{2/3+a}$. We give a simple lower bound showing that additive error of $\approx\sqrt{n}$ is necessary for $k$-means algorithms in the local model (at least for algorithms with a constant number of interaction rounds, which is the setting we consider in this paper).
Construction of blocked factorial designs to estimate main effects and selected two‐factor interactions

Two‐level factorial designs are widely used in industry. For experiments involving n factors, the construction of designs comprising 2n and 2n‐p factorials, arranged in blocks of size 2q is investigated. The aim is to estimate all main effects and a selected subset of two‐factor interactions. Designs constructed according to minimum aberration criteria are shown to not necessarily be the most appropriate designs in this situation. A design construction approach is proposed which exploits known results on proper vertex colourings in graph theory. Examples are provided to illustrate the results and construction strategies. Particular consideration is given to the special case of designs with blocks of size four and tables of designs are given for this block size.
Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs

We present linearly implicit methods that preserve discrete approximations to local and global energy conservation laws for multi-symplectic PDEs with cubic invariants. The methods are tested on the one-dimensional Korteweg-de Vries equation and the two-dimensional Zakharov-Kuznetsov equation; the numerical simulations confirm the conservative properties of the methods, and demonstrate their good stability properties and superior running speed when compared to fully implicit schemes.
Design and Evaluation of Torque Compensation Controllers for a Lower Extremity Exoskeleton

In this paper, we present an integrated human-in-the-loop simulation paradigm for the design and evaluation of a lower extremity exoskeleton that is elastically strapped onto human lower limbs. The exoskeleton has 3 rotational DOFs on each side and weighs 23kg. Two torque compensation controllers of the exoskeleton are introduced, aiming to minimize interference and maximize assistance, respectively. Their effects on the wearer's biomechanical loadings are studied with a running motion and predicted ground reaction forces (GRFs). It is found that the added weight of the passive exoskeleton substantially increases the wearer's musculoskeletal loadings. The maximizing assistance controller reduces the knee joint torque by 31% when compared to the normal running (without exoskeleton) and by 50% when compared to the passive exoskeleton case. When compared to the normal running, this controller also reduces the hip flexion and extension torques by 31% and 38%, respectively. As a result, the peak activations of the biceps short head, gluteus maximus, and rectus femoris muscles are reduced by more than a half. Nonetheless, the axial knee joint reaction force increases for all exoskeleton cases due to the added weight and higher GRFs. In summary, the results provide sound evidence of the efficacy of the proposed controllers on reducing the wearer's musculoskeletal loadings. And it is shown the human-in-the-loop simulation paradigm presented here can be used for virtual design and evaluation of powered exoskeletons and pave the way for building optimized exoskeleton prototypes for experimental evaluation.
Invariant States on Noncommutative Tori

For any number $h$ such that $\hbar :=h/2\pi $ is irrational and any skew-symmetric, non-degenerate bilinear form $\sigma :{{\mathbb{Z}}}^{2g}\times{{\mathbb{Z}}}^{2g} \to{{\mathbb{Z}}}$, let be ${{\mathcal{A}}}^h_{g,\sigma }$ be the twisted group *-algebra ${{\mathbb{C}}}[{{\mathbb{Z}}}^{2g}]$ and consider the ergodic group of *-automorphisms of ${{\mathcal{A}}}^h_{g,\sigma }$ induced by the action of the symplectic group $\textrm{Sp} \,({{\mathbb{Z}}}^{2g},\sigma )$. We show that the only $\textrm{Sp} \,({{\mathbb{Z}}}^{2g},\sigma )$-invariant state on ${{\mathcal{A}}}^h_{g,\sigma }$ is the trace state $\tau $.
Modeling and Planning for Sensor-Based Intelligent Robot Systems

We consider a point-shaped robot moving in an environment modelled by a simple polygon. The robot is equipped with an accurate 360 ◦ vision sys-tem that provides, in real time, the visibility of the current position. The robot’s task is as follows. It has to start from a ﬁxed position on the boundary and walk around until it has seen each point of the polygon. Then, the robot returns to the start point. We present a competitive exploration strategy that guarantees that the length of the robot’s path does never exceed 27 times the length of the optimum watchman tour through the start point. Our analysis uses the following independent result. Suppose a connected set, D , is enclosed in a simple polygon, P . Let A denote the set of all points in P that can see two points of D at a 90 ◦ angle ( A has been named the angle hull of D in P , its boundary the photographers path of D ). Then the perimeter of A is at most twice as long as the perimeter of D , and this bound is tight.
Energy-Constrained Compression ( ECC ) Pre-trained Network Hardware Platform ( Blackbox ) Energy Model Construction Energy Estimation Model Constrained Optimization Compressed Network Empirical Measurements Energy

Many DNN-enabled vision applications constantly operate under severe energy constraints such as unmanned aerial vehicles, Augmented Reality headsets, and smartphones. Designing DNNs that can meet a stringent energy budget is becoming increasingly important. This paper proposes ECC, a framework that compresses DNNs to meet a given energy constraint while minimizing accuracy loss. The key idea of ECC is to model the DNN energy consumption via a novel bilinear regression function. The energy estimate model allows us to formulate DNN compression as a constrained optimization that minimizes the DNN loss function over the energy constraint. The optimization problem, however, has nontrivial constraints. Therefore, existing deep learning solvers do not apply directly. We propose an optimization algorithm that combines the essence of the Alternating Direction Method of Multipliers (ADMM) framework with gradient-based learning algorithms. The algorithm decomposes the original constrained optimization into several subproblems that are solved iteratively and efficiently. ECC is also portable across different hardware platforms without requiring hardware knowledge. Experiments show that ECC achieves higher accuracy under the same or lower energy budget compared to state-of-the-art resource-constrained DNN compression techniques.
LPIS Core Conceptual Model: Methodology for Feature Catalogue and Application Schema

This discussion paper is a continuation of the MARS-PAC efforts to ensure the implementation of basic geographic information (GI) concepts into the LPIS and to follow-up the development of geomatics. It addresses the recent challenges on GI, such as establishing of a Spatial Data Infrastructure (SDI), and the requirements for standardisation and interoperability of geographic data. The main outcome of this development is a standardized framework for the LPIS specifications, that records compliance with the Regulation requirements. How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. LB -N A -2364-EN -C © European Communities, 2008
Impacts of Scheduling Algorithms on Resource Availability

Cost and space constraints typically limit the provision of many educational resources, with laboratory apparatus being a common example. This limitation is often ameliorated by utilizing scheduling techniques to manage access over an extended period of time. The specific scheduling algorithms that are used have been shown to have a significant impact on the overall availability of a set of resources and hence the level of access that can be supported. This paper considers ways in which these scheduling algorithms can be enhanced and the resulting impacts. Whilst the results are illustrated through their application to remote laboratory access, the implications are equally applicable to scheduling of access to any constrained resource.
Transport interworking between 3rd generation mobile systems and ATM fixed network

The target is to integrate future 3rd generation mobile systems (UMTS) with the future broadband integrated services digital networks (B-ISDN) by interworking to UMTS service specific protocols over the radio interface. The main requirements are efficient use of radio resources, support of a wide range of services and high quality of service (QoS). Enhancements might be made to B-ISDN or conversely mobility servers added to asynchronous transfer mode (ATM) switching elements to support the interworking requirements of UMTS. Transport over the radio interface results in very high error rates and delays compared to transport in the fixed network. Interworking options are considered at ATM, ATM adaptation layer, bearer and service level for a range of services.
Algılanan Örgütsel, Yönetici ve Çalışma Arkadaşları Desteği Ölçekleri: Geçerlik ve Güvenirlik Çalışması

The aim of this study is to adapt Perceived Organizational, Supervisor and Coworker Support Scales to Turkish culture and to examine the factor structure and the psychometric properties of the scales. Participants are 186 (71 women and 95 men) white-collar employees. Results of both the exploratory and the confi rmatory factor analysis revealed that work place support consisted of a three factor solution such as perceived organizational, supervisor and coworker support. These factors were related to affective commitment in different levels. Reliability analyses showed that the scales had high internal consistency. In conclusion, the fi ndings indicated that organizational, supervisor and coworker support measure different structures of work place support and these scales have suffi cient psychometric properties.
Arctic sedimentation on interannual and million year time scales: Laminations and ice rafted debris

This thesis examines arctic sedimentation in two distal subarctic marginal seas. Laminations are preserved across the North Pacific and its marginal seas at several glacial terminations. Lamination deposition in marine sediments is favored by anoxic bottom water conditions that limit secondary productivity and bioturbation and instead preserve a highresolution climatic signal. Anoxia is caused by a variety of factors including excessively high primary productivity or expansion of the oxygen minimum zone. However, a detailed analysis of pre-Last Glacial Maximum Bering Sea laminae composition has not yet been produced. Here I examine a 3.5 m long deposit from the shelf-slope break of the Bering Sea, IODP Site U1345, dated to the beginning of Marine Isotope Stage (MIS) 11 (425-413 ka). I test the hypothesis that these laminations are sedimentary varves showing annual to seasonal variability or longer-scale alternations of high productivity events. This thesis also investigates the contribution of iceberg vs. sea ice-rafted sediment at ODP Site 918, located 130 km from the SE Greenland margin, within the present limit of iceberg discharge. Its offshelf location allowed for a continuous record of ice-rafted debris (IRD) deposition in distal to proximal glaciomarine facies from the late Miocene to present. Prior research shows five significant episodes of large ice-rafting events since ~4.7 Ma; these occurred at times of climatic transition, presumably triggered by major calving events from the SE to East-Central Greenland coast. However, the IRD used was assumed to be deposited by icebergs without accounting for sea ice transport. Here I aim to determine the contribution of iceberg vs. sea ice-rafted sediment at peak and background deposition times at ODP Site 918. Results from multiple methodologies including laminae counting, diatom counting, and SEM analysis indicate that the Bering Sea laminae are deposited in couplets every four
Effect of Eucalyptus extract against E . coli O 104 : H 4 in the minced meat of trout

Web Address: http://ecologyresearch.info/ documents/EC0514.pdf ABSTRACT: One of the most important bacteria which is transmitted through the use of marine products, is E. coli O104:H4 bacteria. The main reason for this contamination is the poor maintenance of water at unhealthy conditions. Therefore, the use of a preservative with antibacterial property in marine products is essential. Hence, in the present study, the antibacterial effect of hydro-methanolic extract of Eucalyptus against E. coli in the trout minced meat during the storage period in the refrigerator was investigated. The behaviour of Escherichia coli at 500 and 1000 ppm of Eucalyptus extract were noted. It was found that Eucalyptus extract at a concentration of 1000 ppm could reduce the growth rate of E . coli bacteria below the allowed limit from the 8 day until the end of the maintenance period. According to the results, Eucalyptus hydro-methanolic extract with a concentration of 1000 ppm can be used as a natural anti-bacterial agent in the fishery products.
Cycle decompositions of the Cartesian product of cycles

It is known that the r-dimensional hypercube Qr can be decomposed into r-cycles and into 2r-cycles when r is even. We generalize these results to the class of the Cartesian product of cycles. We also prove that the k-ary r-cube Qr , which is the Cartesian product of r k-cycles, can be decomposed into (tkr/2)-cycles if t divides k and 4 divides t. Consequently, a decomposition of Qr into 4r-cycles for any even r ≥ 4, is obtained.
Intelligent Document Clustering for Big Data Applications

the increase in number of documents worldwide increases the difficulty for classifying those documents according to these needs. To retrieve the document traditional approaches has limited practical applicability. In order to improve the performance of document clustering, ontologies are playing important vital role in business intelligent. This research explores an approach to develop and use ontology in providing a semantically rich knowledge representation for intelligent information retrieval. The outcome of this approach is to establish common vocabulary to access library information intelligently by genetic fuzzy clustering. Keywords—Fuzzy ontology, clustering, distributed clustering, Peer to peer network.
Model-Independent Estimation of Optimal Hedging Strategies with Deep Neural Networks

MODEL-INDEPENDENT ESTIMATION OF OPTIMAL HEDGING STRATEGIES WITH DEEP NEURAL NETWORKS by Tobias Michael Furtwaengler The University of Wisconsin-Milwaukee, 2019 Under the Supervision of Professor Chao Zhu Inspired by the recent paper Buehler et al. (2018), this thesis aims to investigate the optimal hedging and pricing of financial derivatives with neural networks. We utilize the concept of convex risk measures to define optimal hedging strategies without strong assumptions on the underlying market dynamics. Furthermore, the setting allows the incorporation of market frictions and thus the determination of optimal hedging strategies and prices even in incomplete markets. We then use the approximation capabilities of neural networks to find close-to optimal estimates for these strategies. We will elaborate on the theoretical foundations of this approach and carry out implementations and a detailed analysis of the method with simulated market data. Our experiments show that the neural network-based algorithm is a powerful tool for the model-independent pricing of any financial derivative and the estimation of optimal hedging strategies for these instruments.
12-1-2008 Biogeography-Based Optimization

Biogeography is the study of the geographical dis­ tribution of biological organisms. Mathematical equations that govern the distribution of organisms were first discovered and developed during the 1960s. The mindset of the engineer is that we can learn from nature. This motivates the application of bio­ geography to optimization problems. Just as the mathematics of biological genetics inspired the development of genetic algorithms (GAs), and the mathematics of biological neurons inspired the development of artificial neural networks, this paper considers the mathematics of biogeography as the basis for the development of a new field: biogeography-based optimization (BRO). We discuss natural biogeography and its mathematics, and then discuss how it can be used to solve optimization problems. We see that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO). This makes BBO applicable to many of the same types of problems that GAs and PSO are used for, namely, high-dimension problems with multiple local optima. However, BBO also has some features that are unique among biology-based optimization methods. We demonstrate the performance of BBO on a set of 14 standard benchmarks and compare it with seven other biology-based opti­ mization algorithms. We also demonstrate BBO on a real-world sensor selection problem for aircraft engine health estimation.
Effect of Xuebijing combined with early continuous renal replacement therapy on systemic inflammatory response and renal impairment in patients with heat stroke

Heat stroke is the most severe type of heatstroke, which is characterized by the heat-regulating center dysfunction, and can lead to high fever, consciousness disorder and multiple organ dysfunction[1,2]. Systemic inflammatory response syndrome activation is an important pathological change in the course of the heat stroke, and the massively generated inflammatory cytokines can on the one hand, cause systemic multiple organ damage by inflammatory reaction, and on the other hand, also destroy the coagulation-anticoagulation balance to affect tissue microcirculation and cause tissue damage. The kidney is a common target organ in the course of heat stroke sickness, and the renal function injury can cause the toxic metabolites to accumulate in the body. Continuous renal replacement therapy (CRRT) is used in critical illness treatment in recent years, which removes the inflammatory cytokines and adverse metabolites through the exchange of displacement fluid and human blood, and can reduce the viscera function damage in the course of a variety of critical diseases[3]. Xuebijing is a traditional Chinese medicine with anti-inflammatory and antiplatelet function, and is used for treating diseases such as kidney failure and sepsis[4]. In the following studies, we analyzed the effect of Xuebijing combined with early continuous renal replacement therapy on systemic inflammatory response and renal impairment in patients with heat stroke.
PHYTOSOCIOLOGY OF WEED COMMUNITY IN CULTURE OF COWPEA ( VIGNA UNGUICULATA L . WALP ) AND CONTROLLING POSSIBILITIES WITH PRE-EMERGENT HERBICIDES

This study has aimed to diagnose and compare the predominant weed species in cowpea crop in the Amazon region and to evaluate the effectiveness of herbicides applied in pre-emergence. The weed sampling was obtained before planting, the cowpea cultivar was BRS Aracê, by collecting all the plants present within a 0.25 m2 hollow frame, randomly thrown 40 times in experimental area to calculate the phytosociological indices. The herbicide efficiency experiment was conducted in a randomized block design with four replications, in time subdivided plot model. Treatments were applied one day after crop planting, their doses (g/ha ai) were: metribuzin (360), sulfentrazone (600), S-metolachlor (1200), pendimethalin (750), oxadiazon (1000), alachlor (2400), metribuzin + pendimethalin (360 + 750), metribuzin + alachlor (360 + 2400), manual weeding and weedy check. The evaluations of weed control were done at 21, 28 and 35 DAP. The most important weed in phytosociology was Tridax procumbens. Cultivation of the crop with weeds caused a reduction of more than 66% in crop productivity. The application of the metribuzin herbicide prevented the emergence of all cowpea seedlings while oxadiazon satisfactorily controlled the weeds without affecting the crop yield.
Treatment for limited-stage small cell lung carcinoma 4 . 1 Chemotherapy

Worldwide, lung carcinoma (LC) is the commonest and deadliest form of cancer in men and women, exceeding the mortality of prostate, breast, and colorectal cancers combined (Jemal et al., 2009). Irrespective of histologic subtype, more than 90% of all LC is strongly associated with cigarette smoking (Alavanja et al., 2002), and the risk significantly increases with the number of cigarettes smoked per day, degree of inhalation, age at initiation, and life-long cumulative exposure (Tyczynski et al., 2003). Although survival at 5-year is less than 15%, yet, there exists no single proven chemopreventive measure reducing the risk of LC development, except for cessation of cigarette smoking. Histologically, non-small cell LC (NSCLC) and small-cell LC (SCLC) are the two commonest types of LC, constituting 85-90% and 10-15% of all cases, respectively (Rosenzweig et al., 2010). SCLC (previously called oat cell carcinoma) is relatively less common than NSCLC; however, because of a more aggressive growth pattern and clinical course, its treatment is more challenging. Although there is no significant difference in outcome by histologic subtype, the World Health Organization classification subdivides SCLC into three cell types; pure or classic, variant cell, and mixed (Brambilla et al., 2001). SCLC displays a high propensity to metastasize, and usually a remarkable but temporary responsiveness to chemotherapy and radiotherapy (RT). Although some may be cured, most patients succumb to disease because of rapid development of drug resistance and resultant disease progression. Median survival for metastatic SCLC is only 10 months, which is interestingly very similar to patients with relatively much more drug resistant NSCLC of similar stage (Chute et al., 1997). Despite great improvements in imaging, pathology, genetics, chemotherapy, and RT techniques, this did not translate into the clinical outcomes, thus, the current overall survival rate for SCLC patients is not different than that was 20 years before (Chute et al., 1997). This chapter has been designated to focus specifically on treatment of SCLC patients, with specific emphasises on the technical basis and outcomes of current RT and concurrent chemoradiotherapy (C-CRT). Therefore, readers interested in more comprehensive information about the epidemiology, etiology, preventive measures, pathologic and genetic basis and surgical treatment of SCLC are referred to excellent reviews available in this book.