Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Automatic Intrusion Detection Method of Software-Defined Security Services in Cloud Environment

— In a cloud environment, software defined security services are highly vulnerable to malicious virus attacks. In response to software security issues, this project plans to use machine learning technology to achieve automated detection of software security services in a cloud environment. Firstly, study the intrusion characteristics of software defined security services in cloud environments based on piecewise sample regression, and establish their statistical feature quantities. Then, using the method of decision statistical analysis, achieve its fixed identification. Finally, the intrusion characteristics of software defined security services in the cloud environment are studied and compared with the data in the cloud environment to obtain its power spectral density. On this basis, machine learning methods are used to extract features from software security services in the cloud environment, in order to achieve the goal of automatic extraction and optimization of software security services in the cloud environment. Through simulation experiments, the credibility of the proposed algorithm for software defined security services in the cloud environment was verified, and the attack characteristics of software defined security services in the cloud environment were effectively patched.
Topological quantum computation, anyons and non-abelian gauge potentials

This thesis deals with the study of topological quantum computation and the possible realization of non-Abelian anyons in cold atomic gases. Two main topics are investigated: the rst subject is the quantum hashing technique to approximate unitary operators by braiding non-Abelian anyons, the second one is the analysis of systems of multicomponent ultracold atoms in the presence of an e ective nonAbelian gauge potential giving rise to a quantum Hall regime. The common frame of these topics is the emergent study of topological phases of matters, driven by the necessity to overcome the Landau-Ginzburg paradigm to describe strongly correlated quantum systems such as the quantum Hall ones. To achieve this goal it is crucial to involve seemingly distant branches of knowledge such as conformal eld theories, topological eld theories, integrable models, knot theory, tensor category theory but also quantum information and computation, in order to deepen our understanding of the new and exciting experimental and numerical results given by the analysis of di erent systems sharing these topological properties. Due to the deep interdisciplinary character of this wide research eld it seems natural to face it from di erent points of view. This choice is re ected in the structure of this thesis where I present rst a more abstract study of the theory of non-Abelian anyons and its application to topological quantum computation, and then I analyze more concrete examples of ultracold atomic systems that are suitable to show non-Abelian anyons as local excitations. The rst main topic of this thesis is the quantum hashing algorithm to solve the problem of the quantum compiling: the quantum hashing is a technique to obtain a fast approximation of a target quantum gate in the unitary group SU(2) represented as a product of the elements of a universal basis. The hashing exploits the structure of the icosahedral group in order to reduce the algorithm to a search over a nite number of elements and one of its main advantages is the possibility of iteration to obtain accurate representations of the targets. To describe this algorithm we mainly refer to the case of Fibonacci anyons, however the technique is much more general and can be extended not only to di erent anyonic theories but also to arbitrary quantum computation setups. Given the importance of the physical realization, detection and manipulation of non-Abelian anyons, the second part of this thesis is devoted to a possible realization of non-Abelian quantum Hall states. The systems I analyze are constituted by ultracold atomic gases subjected to arti cial external non-Abelian gauge elds which mimic a spin-orbit coupling. I show that such potentials, acting on atoms
Assessing risks and opportunities for tropical forests in the face of sustainable development

Understanding how countries’ future development pathways could affect forests can help to avoid negative impacts and instead promote positive ones. Exploring this topic requires knowledge of which areas of the development agenda are likely to show the greatest progress, and how these expected changes relate to the drivers of deforestation and forest degradation that are currently affecting forests, or which may emerge as result of development-related changes. Based on this information, researchers, stakeholders and decisionmakers can engage in discussions to inform further research and interventions. We present an assessment framework that draws upon a range of data types to identify specific components of the development agenda that are likely to be of greatest relevance to forest conservation at the national level. We then assess the potential magnitude and likelihood of imminent changes in these areas over the short- to medium-term. We use this framework to assess 48 tropical countries, providing insights into the areas of sustainable development that are most likely to provide risks, opportunities or enabling conditions for forest conservation across much of the tropics. Our findings suggest that, across much of the tropics, ongoing risks to forests associated with agriculture, transport infrastructure and urban infrastructure could worsen, and that new risks from energy infrastructure could emerge. Opportunities relating to poverty reduction, tourism, and industry, among others, will require care to ensure that associated progress results in positive rather than negative forest impacts. Enabling conditions associated with, inter alia, improved education, inclusive decision-making, and effective governance, still have much room for improvement, and the anticipated likelihood of imminent progress in these areas varies between countries and regions. We discuss the implications of our findings for policymakers and development agencies, and consider potential future applications of our assessment protocol.
Channel capacity for MIMO systems with multiple frequencies and delay spread

Consider N -transmit M -receive antenna systems with multiple frequencies and delay spread. Expansions are given for the distribution and quantiles of the channel capacity efficiency C in powers of N−1/2 for fixed M . The first term gives normality. This gives a good approximation for M/N small. For M < N the second or third term is generally sufficient for accuracy. An important duality principle is given: expansions for the distribution and quantiles of C in powers of M−1/2 for fixed N follow. The first term gives a good approximation for N/M small. Both discrete and continuous time models are considered.
THE EFFECTS OF CRACKING ON THE SURFACE POTENTIAL OF ICY GRAINS IN SATURN’S E-RING: LABORATORY STUDIES

Within Saturn's E-ring, dust grains are coated by water vapor co-released with ice grains from the geyser-like eruptions of Enceladus. These ice-coated grains have intrinsic surface potential and interact synergistically with the ions and electrons of Saturn's magnetospheric plasmas. We perform laboratory experiments to investigate the effects of water-ice growth on the surface potential, using amorphous solid water (ASW) films. We estimate the growth of the surface potential to be ∼−2.5 mV (Earth) yr−1 and −112 mV yr−1 for E-ring grains at ∼4.5Rs and 3.95Rs outside Enceladus’s plume, respectively. In addition, our measurements show that the linear relationship between the surface potential and the film thickness, as described in previous studies, has an upper limit, where the film spontaneously cracks above a porosity-dependent critical thickness. Heating of the cracked films with (and without) deposited charge shows that significant positive (and negative) surface potentials are retained at temperatures above 110 K, contrary to the minimal values (roughly zero) for thin, transparent ASW films. The significant surface potentials observed on micron-scale cracked ice films after thermal cycling, −(5–20) V, are consistent with Cassini measurements, which indicate a negative charge of up to −5 V for E-ring dust particles at ∼5Rs. Therefore, the native grain surface potential resulting from water-vapor coating must be included in modeling studies of interactions between E-ring icy surfaces and Saturn's magnetospheric plasma.
A Low Latency Approximate Adder Design Based on Dual Sub-Adders With Error Recovery

This paper presents a novel dual sub-adder based approximate adder that splits a precise adder into two to significantly reduce the latency. The proposed error recovery and reduction technique effectively compensates for the catastrophic accuracy degradation incurred by the split. Implemented in a 65-<inline-formula><tex-math notation="LaTeX">$nm$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>n</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="seo-ieq1-3270963.gif"/></alternatives></inline-formula> CMOS technology, our design reduces the delay and energy consumption by up to 68% and 78%, respectively, compared to a traditional adder, and outperforms other existing approximate adders in hardware and accuracy joint metrics. The proposed design's efficacy is shown through digital image processing applications where our design makes processed output images closest to the one using the accurate adder over other approximate adders. Furthermore, the proposed design is proven to be a general adder model that can be employed in existing approximate adders to enhance hardware resource and error characteristics considerably.
The effects of the physical parameters on the bandwidth of a folded dipole

An expression is derived which yields the feedpoint admittance of a folded unipole or dipole at any desired frequency. This expression shows that the input admittance is composed of two parts-a radiation part and a transmission line part. The radiation part is analyzed as a vertical radiator while the transmission line part is analyzed by transmission line theory. The terms of this expression allow the input admittance of the antenna to be studied in terms of the physical parameters. By plotting the feedpoint admittance on a Smith chart it is possible to observe at what frequency the currents in the feeding transmission line exceed some desired standing wave ratio and thus obtain a measure of the bandwidth of the antenna. The findings show that the broad-band characteristics of the folded diple are obtained primarily through the increase in equivalent cross section caused by the folding of the two elements. The bandwidth is further aided by the reactive component of the transmission line part being opposite to the reactive component of the radiation part, even though the reactive component of the transmission line part is considerably smaller than desired. Experimental and calculated results show that for a given size conductor the bandwidth is improved as the spacing between conductors is increased. The spacing should be as wide as possible but still provide the desired field pattern and input admittance. The bandwidth of a folded dipole is improved if the conductor size is increased regardless of the spacing between elements. Maximum bandwidth is achieved by using large conductors with wide spacing.
Performance Analysis of a Novel Axial Radial Flux Segmental Rotor Switched Reluctance Motor

Based on the characteristics of axial flux switched reluctance motor (SRM) and radial flux SRM (RFSRM), this article proposes a new type of axial radial stator operation mode (ARFSRSRM). The motor has the left and right dual axial stator structures, which form a kind of axial flux path with the segmental rotor in the middle, and a radial stator structure, which shares a kind of radial flux path with the segmental rotor on the outside of the motor. Compared with the conventional SRM, this motor combines the advantages of high output torque and torque density due to the inclusion of two kinds of flux paths, making it suitable for high-efficiency and high-torque fields such as electric vehicles. In this article, the topology and operating principle of the new motor are first introduced. Then the initial structural parameters are derived, and the multiobjective optimization of the proposed motor is carried out using Taguchi’s algorithm. The static and dynamic performance of the motor is comprehensively analyzed using the 3-D finite element method. Finally, the experimental results obtained through the trial production of a prototype machine verify the good performance of the new motor.
Virological Outcomes Among Pregnant Women Receiving Antiretroviral Treatment in the Amhara Region, North West Ethiopia

Background Globally, approximately 35 million people are infected with HIV infection. Sub-Saharan countries contributed 71% of global burden. Women are the most affected groups accounting for 51% of global infection and 90% of HIV infections in children (<15 years) are a result of mother to child transmission. In the absence of any intervention, mother-to-child transmission has been estimated to 30–40% that could occur at various periods like during pregnancy, delivery, and post-partum, via breastfeeding. For future generations to be born HIV-free, evidences on the level of viremia and contributing factors in pregnant mothers is important. Objective The objective of this study is to determine the magnitude of viral non-suppression rate among pregnant women and identify the risk factors associated with viral non-suppression. Methods A cross-sectional study was conducted from July 01, 2021 to June 30, 2022, in pregnant women who are on antiretroviral treatment and attending HIV viral load testing in Amhara region viral load testing sites, North West Ethiopia. Socio-demographic, clinical, and HIV-1 RNA viral load data were collected from the excel database. The data were analyzed in SPSS 23.0 statistical software. Results Overall viral non-suppression rate was 9.1%. In other words, the viral suppression rate was 90.9%. Pregnant women being at AIDS stages III and IV and with fair treatment adherence and suspected testers were statistically associated with increased viral non-suppression rate. Conclusion Relatively low viral non-suppression rate among pregnant mothers that had almost met the third 90 of UNAIDS target. But, still, some mothers received a non-suppressed viral replication specifically the odds of having a non-suppressed viral load was higher in pregnant women with poor treatment adherence and WHO Stage III and IV and suspected testers.
Estimating the Burden of Illness of Relapsed Follicular Lymphoma and Marginal Zone Lymphoma in Ontario, Canada

Background: Many patients with advanced follicular lymphoma (FL) and marginal zone lymphoma (MZL) relapse after first-line chemotherapy. Objective: To examine healthcare resource utilization (HCRU) and cost, treatment patterns, progression, and survival of patients with FL and MZL who relapse after first-line treatment, in Ontario, Canada. Methods: A retrospective, administrative data study identified patients with relapsed FL and MZL (1 January 2005–31 December 2018). Patients were followed for up to three years post relapse to assess HCRU, healthcare costs, time to next treatment (TTNT), and overall survival (OS), stratified by first- and second-line treatment. Results: The study identified 285 FL and 68 MZL cases who relapsed after first-line treatment. Average duration of first-line treatment was 12.4 and 13.4 months for FL and MZL patients, respectively. Drug (35.9%) and cancer clinic costs (28.1%) were major contributors to higher costs in year 1. Three-year OS was 83.9% after FL and 74.2% after MZL relapse. No statistically significant differences were observed in TTNT and OS between patients with FL who received R-CHOP/R-CVP/BR in the first line only versus both the first- and second- line. A total of 31% of FL and 34% of MZL patients progressed to third-line treatment within three years of initial relapse. Conclusion: Relapsing and remitting nature of FL and MZL in a subset of patients results in substantial burden to patients and the healthcare system.
Exploring the antecedents and consequences of hospitality employees’ organization-based self-esteem

Abstract This study aims to explore the critical role of employees’ organization-based self-esteem, which is related to their social exchange in an organization and prosocial behavior. The social exchange theory, conservation of resources theory, and self-consistency theory were applied to develop the research framework. A cross-sectional survey was applied to collect data from frontline employees working in the full-service restaurant. The results presented that both leader-member exchange and coworker exchange were positively related to organization-based self-esteem. Moreover, organization-based self-esteem was positively related to prosocial behaviors, including role-prescribed and extra-role customer service, and cooperation. Theoretical and practical implications were discussed.
Identification of new biomarkers and immune infiltration characteristics of sepsis in very low birth weight infants

Sepsis is a life-threatening condition, especially in very low birth weight (VLBW) infants, and its pathogenesis remains unclear. Effective biomarkers need to be found to diagnose and treat the disease at an early stage. The Gene Expression Omnibus (GEO) database was screened and analyzed for differentially expressed genes (DEGs) in VLBW infants with sepsis. DEGs were then analyzed for functional enrichment. A weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and genes. The optimal feature genes (OFGs) were created using three machine learning algorithms. The single-sample Gene Set Enrichment Analysis (ssGSEA) scored the degree of immune cell enrichment between septic and control patients, and the correlation between OFGs and immune cells was evaluated. A total of 101 DEGs were identified between the sepsis and control samples. DEGs were mainly associated with immune responses and inflammatory signaling pathways in the enrichment analysis. In the WGCNA analysis, the MEturquoise module was significantly correlated with sepsis in VLBW infants (cor ═ 0.57, P < 0.001). By intersecting OFGs derived from three machine learning algorithms, two biomarkers were identified: glycogenin 1 (GYG1) and resistin (RETN). The area under the curves of GYG1 and RETN was greater than 0.97 in the testing set. The ssGSEA indicated immune cells infiltration in septic VLBW infants, and GYG1 and RETN revealed close correlations with immune cells. New biomarkers offer promising insights into the diagnosis and treatment of sepsis in VLBW infants.
Very‐low frequency capacitively coupled AC amplifier with a current feedback operational amplifier

In this paper, we propose the idea of using transimpedance amplifiers, in lieu of operational amplifiers (OAs) or transconductance amplifiers (OTAs) to design capacitively coupled AC amplifiers. The idea is demonstrated with a current feedback operational amplifier (CFOA) as an active element, which is actually an architecture consisting of voltage buffers and current copiers (mirrors). This last characteristic is further exploited to make the corner frequency of the AC amplifier tunable by means of bootstrapping low‐valued resistors with the output buffer. It is particularly suited to achieve very‐low corner frequencies as needed in applications such as bio‐ or seismic signals. The idea is demonstrated with simulations and experimental results with a discrete implementation.
Regularization Methods for Canonical Correlation Analysis, Rank Correlation Matrices and Renyi Correlation Matrices

In multivariate analysis, canonical correlation analysis is a method that enable us to gain insight into the relationships between the two sets of variables. Itdetermines linear combinations of variables of each type with maximal correlationbetween the two linear combinations. However, in high dimensional data analysis, insufficient sample size may lead to computational problems, inconsistent estimates of parameters. In Chapter 1, three new methods of regularization are presented to improve the traditional CCA estimator in high dimensional settings. Theoretical results have been derived and the methods are evaluated using simulated data.While the linear methods are successful in many circumstances, it certainly has some limitations, especially in cases where strong nonlinear dependencies exist. In Chapter 2, I investigate some other measures of dependence, including the rank correlation and its extensions, which can capture some non-linear relationship between variables. Finally the Renyi correlation is considered in Chapter 3. I also complement my analysis with simulations that demonstrate the theoretical results.
Feature selection based on feature similarity measure

This paper proposes a feature selection algorithm based on feature similarity measure.The method clusters features based on similarity measure and then chooses representative features from each cluster.At last,the feature subset is selected by removing the feature which is less relevant or irrelevant to class feature.Theory analysis indicates that the method with lower time complexity can be applied in feature selection for high dimensional data.The superiority of the algorithm,in terms of dimensionality reduction and classification performance,is established extensively over UCI datasets through comparing with other classic feature selection approaches.
A Novel Three-Phase Omnidirectional Wireless Power Transfer System With Zero-Switching-Loss Inverter and Cylindrical Transmitter Coil

Aiming at the problems of large switching loss and large output power fluctuation in the existing omnidirectional wireless power transfer (OWPT) system, a novel OWPT system with zero-switching-loss inverter and cylindrical transmitter coil is proposed. By introducing an auxiliary resonant network with simple structure and low-loss on each phase arm of the three-phase inverter, zero-voltage switching turn-on and zero-current switching turn-off within the full power range can be acquired. The switching loss in the main circuit of inverter is reliably eliminated. The transmitter coil is a cylindrical coil composed of the three curved rectangular coils, whose excitation current amplitude is equal and the phase difference is 120°. It can arise a spatial rotating magnetic field around the transmitter coil and provide an omnidirectional energy transmission channel. The operating principle of soft-switching is analyzed in detail, and the design rules of soft-switching in full power range and the parameter design method of coupler to reduce the fluctuation of output power are given. Ultimately, an experimental prototype is used to verify the feasibility of the proposed OWPT system. The experimental results indicate that the system output power is retained at 93.4–104.7 W and transfer efficiency is retained at 71.2%–78.1% under arbitrary angular misalignment of receiver.
Molecular characterization of porcine circovirus-2 and -3 in pigs in Tanzania

Like in many other African countries, pig production is increasing in Tanzania. To support farmers and stakeholders, it is important to increase our understanding of porcine pathogens present in the country. Currently, little is known about the circulation of porcine circovirus-2 (PCV-2) and porcine circovirus-3 (PCV-3). For this reason, samples from 124 pigs collected throughout the country between 2018 to 2022 were screened by PCR for the presence of PCV-2 and PCV-3. Sequencing and phylogenetic analysis of positive amplicons identified two PCV-2 genotypes (a and d). Limited genetic heterogenicity was observed among the PCV-3. This study provides important data on pathogens present in pigs in Tanzania and should be of use veterinary authorities involved in porcine disease management.