Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of landscape ecological pattern in abandoned mines based on GIS

For the target of ecological restoration and landscape overall optimization, the study selects China Jingxi abandoned coal mines for typical cases, takes advantage of remote sensing data and GIS spatial information processing technology, through the method combing existing land-use planning, damage assessment of ecological environment and overall optimization of land resource using pattern, determines land function zoning and components of ecological pattern by MCR model, and explores the optimized approach for landscape ecological spatial pattern in abandoned mines.
An Efficient Reactive Power Control Method for Power Network Systems with Solar Photovoltaic Generators Using Sparse Optimization

With the incremental introduction of solar photovoltaic (PV) generators into existing power systems, and their fast-growing share in the gross electricity generation, system voltage stability has become a critical issue. One of the major concerns is voltage fluctuation, due to large and random penetration of solar PV generators. To suppress severe system voltage deviation, reactive power control of the photovoltaic system inverter has been widely proposed in recent works; however, excessive use of reactive power control would increase both initial and operating costs. In this paper, a method for efficient allocation and control of reactive power injection using the sparse optimization technique is proposed. Based on a constrained linearized model describing the influence of reactive power injection on voltage magnitude change, the objective of this study is formulated as an optimization problem, which aims to find the best reactive power injection that minimizes the whole system voltage variation. Two types of formulations are compared: the first one is the conventional least-square optimization, while the second one is adopted from a sparse optimization technique, called the constrained least absolute shrinkage and selection operator (LASSO) method. The constrained LASSO method adds l 1 -norm penalty to the total reactive power injection, which contributes to the suppression of the number of control nodes with non-zero reactive power injection. The authors analyzed the effectiveness of the constrained LASSO method using the IEEE 39-bus and 57-bus power network as benchmark examples, under various PV power generation and allocation patterns. The simulation results show that the constrained LASSO method automatically selects the minimum number of inverters required for voltage regulation at the current operating point.
Toward Using Node Mobility to Enhance Greedy Forwarding in Geographic Routing for Mobile Ad Hoc Networks 1

This material is based upon work supported by the U. S. Army Research Office under grant number W911NF-05-1-0573. Abstract—Node mobility is generally regarded as a hazard for geographic routing, causing a degradation of performance or even persistent routing failures. In this paper we pursue an opposite view where it is possible to take advantage of mobility to enhance greedy forwarding in geographic routing. A concept named motion potential, combining node mobility patterns with node position information, is introduced to help make forwarding decisions. Simulation results show that our approach behaves well and competes favorably with conventional geographic routing, especially under the scenario of low network density and high node mobility.
Planning of UMTS core networks

Building new UMTS (Universal Mobile Telecommunication Systems) based networks, seems to be on time. Nowadays the UMTS network design related problems are moving to the interconnection of radio network controllers (RNC), placement of media gateways (MGw) and planning of the core network topology. This new area of UMTS network design is studied in the paper. A new algorithm is proposed for the above tasks, which based on efficient meta-heuristics, but applies some problem related features to obtain as good a solution as possible. The paper overviews the UMTS core network structure, a possible abstraction of the real network and equipment from the viewpoint of network planning are proposed, furthermore the design algorithm is outlined and a detailed performance analysis is proposed using some network scenarios. It is important to note that the abstract model enables the application of the proposed algorithm for the same type of design task, but in different technology background.
Bone Fragility in Turner Syndrome: Mechanisms and Prevention Strategies

Bone fragility is recognized as one of the major comorbidities in Turner syndrome (TS). The mechanisms underlying bone impairment in affected patients are not clearly elucidated, but estrogen deficiency and X-chromosomal abnormalities represent important factors. Moreover, although many girls with TS undergo recombinant growth hormone therapy to treat short stature, the efficacy of this treatment on bone mineral density is controversial. The present review will focus on bone fragility in subjects with TS, providing an overview on the pathogenic mechanisms and some prevention strategies.
Struggling for existence—Life situation experiences of older persons with mental disorders

Older persons with mental disorders represent a vulnerable group of people with extensive and complex needs. The older population is rapidly increasing worldwide and, as a result of deinstitutionalization in mental health care, older persons are remaining at home to a greater extent. Although they constitute a large proportion of the population, older persons with mental disorders have been neglected in research as well as in care organizations. As there is little previous knowledge concerning older persons’ experiences of their own situations, this study aimed to illuminate the meaning of the life situation as experienced by older persons with mental disorders (excluding dementia disorders). Interviews were conducted with seven older persons and the text was analyzed using a phenomenological hermeneutical research method, inspired by the philosophy of Paul Ricoeur. “Struggling for existence” emerged as a main theme in the older persons’ narratives, understood as a loss of dignity of identity and involving being troubled and powerless as well as yearning for respect. The older persons fought to master their existence and to be seen for who they are. The study highlights the importance for caregivers, both formal and informal, to avoid focusing on the diagnoses and rather acknowledge the older persons and their lifeworld, be present in the relation and help them rebuild their dignity of identity. This study brings a new understanding about older persons with mental disorders that may help reduce stigma and contribute to planning future mental health care.
Research on Vision-Based Navigation for Plant Protection UAV under the Near Color Background

GPS (Global Positioning System) navigation in agriculture is facing many challenges, such as weak signals in orchards and the high cost for small plots of farmland. With the reduction of camera cost and the emergence of excellent visual algorithms, visual navigation can solve the above problems. Visual navigation is a navigation technology that uses cameras to sense environmental information as the basis of an aircraft flight. It is mainly divided into five parts: Image acquisition, landmark recognition, route planning, flight control, and obstacle avoidance. Here, landmarks are plant canopy, buildings, mountains, and rivers, with unique geographical characteristics in a place. During visual navigation, landmark location and route tracking are key links. When there are significant color-differences (for example, the differences among red, green, and blue) between a landmark and the background, the landmark can be recognized based on classical visual algorithms. However, in the case of non-significant color-differences (for example, the differences between dark green and vivid green) between a landmark and the background, there are no robust and high-precision methods for landmark identification. In view of the above problem, visual navigation in a maize field is studied. First, the block recognition method based on fine-tuned Inception-V3 is developed; then, the maize canopy landmark is recognized based on the above method; finally, local navigation lines are extracted from the landmarks based on the maize canopy grayscale gradient law. The results show that the accuracy is 0.9501. When the block number is 256, the block recognition method achieves the best segmentation. The average segmentation quality is 0.87, and time is 0.251 s. This study suggests that stable visual semantic navigation can be achieved under the near color background. It will be an important reference for the navigation of plant protection UAV (Unmanned Aerial Vehicle).
Numerical investigation and design of reinforced concrete beams with non-uniform frost damage on the compression and tension sides

Abstract This paper aims to investigate the bending behaviour of a reinforced concrete (RC) beam with different non-uniform frost damages. A multi-scale poromechanical approach is developed to build a bridge between the material deterioration process and the structural mechanical performance by considering the global heat and moisture transport and rebar confinement, as well as the local phase changes and poromechanical deformation. The real-time frost damage process is first simulated and experimentally validated for different depths of exposure on both the compression and tension sides and then used for testing the residual bending behaviour. The failure modes, load-carrying capacity and strain distribution of the reinforcement are fairly consistent with the experimental results. The bearing capacity decreases with the increment of the freeze-thaw cycles (FTC) and the frost exposure depth. Reinforcing bars can restrain not only crack propagation but also frost damage. Thus, the bearing capacity of the damaged beam on the compression side drops more than that on the tension side for the same exposure depth. Finally, an indirect method for the use of the equivalent deteriorated mechanical properties is compared with the detailed real-time simulation, and a simple design method is proposed for RC beams with partial frost damage.
The Far-Infrared emission of Radio Loud and Radio Quiet Quasars

Continuum observations at radio, millimetre, in- frared and soft X-ray energies are presented for a sample of 22 quasars, consisting of flat and steep spectrum radio loud, radio intermediate and radio quiet objects. The primary observational distinctions, among the different kinds of quasars in the radio and IR energy domains are studied using large observational datasets provided by ISOPHOT on board the Infrared Space Ob- servatory, by the IRAM interferometer, by the sub-millimetre array SCUBA on JCMT, and by the European Southern Ob- servatory (ESO) facilities IRAC1 on the 2.2 m telescope and SEST. The spectral energy distributions of all quasars from radio to IR energies are analyzed and modeled with non-thermal and thermal spectral components. The dominant mechanism emitting in the far/mid-IR is ther- mal dust emission in all quasars, with the exception of flat spec- trum radio loud quasars for which the presence of thermal IR emission remains rather uncertain, since it is difficult to separate it from the bright non-thermal component. The dust is predom- inantly heated by the optical/ultraviolet radiation emitted from the external components of the AGN. A starburst contributes to the IR emission at different levels, but always less than the AGN ( 27%). The distribution of temperatures, sizes, masses, and luminosities of the emitting dust are independent of the quasar type.
Towards Seamless Adaptation: An Agent-Oriented Approach

Self-adaptive systems are able to autonomously adapt to changing user requirements and resource variability at runtime, therefore addressing the problem of software complexity and maintenance. Ongoing research on development methodologies for self-adaptive software points out a necessity for supporting, requirements-time, design-time and run-time, adaptivity. The main aim of our work is to devise a development process that enables seamless adaptation of software systems by exploiting requirements-, design- and run-time adaptation.
SHOP2 and TLPlan for Proactive Service Composition

Recent advances in computer technology are making the development of context aware applications possible. Such applications are complicated by the variety of contextual types that must be accommodated, together with the range of values for each context type. This makes it difficult to write and extend them. We are addressing this by building context aware applications as dynamically composed sequences of calls to Web services, considered as an AI planning problem. We identify the following three specific technical requirements for planning systems in order to handle Web service composition problem: (1) richness of domain description, (2) control constructs for assembling complex actions, and (3) a mechanism for plan optimization. In this paper, we compare two hand-coded planners, SHOP2 and TLPlan, and discuss their applicability to modelling and composing of Web services, using a specific context aware composition problem.
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior

We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation of direct associations between events based on simple conditioning principles. The other view describes learning as the process of inducing the transformational structure that defines the material. Each of these learning mechanisms predict differences in the rate of acquisition for differently organized sequences. Across a set of empirical studies, we compare the predictions of each class of model with the behavior of human subjects. We find that learning mechanisms based on transformations of an internal state, such as recurrent network architectures (e.g., Elman, 1990), have difficulty accounting for the pattern of human results relative to a simpler (but more limited) learning mechanism based on learning direct associations. Our results suggest new constraints on the cognitive mechanisms supporting sequential learning behavior.
Architecting Systems Under Uncertainty with Object-Process Networks

Architects of complex systems and products, such as an aircraft power system must routinely make tradeoff decisions given limited resources, incomplete information, and evolving stakeholder needs. Their decisions ultimately require a certain amount of subjective judgment, as a result of which system architecting involves not just science and engineering, but also art. By embedding Bayesian belief propagation algorithms in Object-Process Methodology (OPM), we show that architects of largescale complex systems can better describe, quantify and communicate system attribute tradeoffs under uncertainty. This new framework, Object-Process Network (OPN), is instrumental in formulating and preserving the rationale behind tradeoff decisions, thereby offering a systematic approach to system-related decision making. Object Process Networks achieve the following objectives: 1. Graphically compose component-level knowledge to help visualize complex interrelationships among variables in a system, 2. Model the space of architectural options constrained by deterministic rules or conditional probability functions between system variables, and 3. Compare and select preferred architectural options under uncertainty. To demonstrate the use of OPN in complex system architecting, we have applied this framework to an architectural tradeoff case study of an aircraft power system. A simplified architectural OPN model and its model construction process are presented and discussed in this paper. Architecting Systems Under Uncertainty with Object-Process Networks 2
Genetic Predisposition to Pass the Standard SICCT Test for Bovine Tuberculosis in British Cattle

Bovine tuberculosis (bTB) imposes an important financial burden on the British cattle industry, yet despite intense efforts to control its spread, incidence is currently rising. Surveillance for bTB is based on a skin test that measures an immunological response to tuberculin. Cattle that fail the test are classified as “reactors” and slaughtered. Recent studies have identified genetic markers associated with the reaction of cattle to the tuberculin test. At marker INRA111 a relatively common ‘22’ genotype occurs significantly more frequently in non-reactor cattle. Here we test the possibility that the putative protective ‘22’ genotype does not confer resistance but instead causes cattle that carry it to react less strongly to the prescribed test, and hence avoid slaughter, potentially even though they are infected. We show that, after controlling for age and breed, ‘22’ cattle react less strongly to the immunological challenge and may therefore be less likely to be classified as a reactor. These results highlight the potential discrepancy between infection and test status and imply that the effectiveness of the test-and-slaughter policy may be being compromised by selection for cattle that are genetically predisposed to react less strongly to tuberculin.
Power quality improvement in a vector controlled PMSM drive using non-isolated PFC zeta converter

This paper presents a non-isolated power factor correction (PFC) Zeta converter fed vector controlled round rotor Permanent magnet synchronous motor (PMSM) drive operating under variable load and speed. The vector controlled drive uses a proportional-integral (PI) controller for production of maximum torque per ampere, while the PFC converter improves power quality (PQ) at AC mains in continuous inductor current mode (CICM). The input current to PFC converter is shaped with the help of two sensors to achieve power factor correction. Simulations of the drive performance under varying load torque, motor speed and AC voltage have been conducted to demonstrate the effectiveness of proposed concepts.
Olaparib: A Novel Therapy for Metastatic Breast Cancer in Patients With a BRCA1/2 Mutation

Breast cancer is the most frequently diagnosed cancer in women globally. Genetic mutations can increase the risk of developing breast cancer. Inherited germline mutations in BRCA1 and BRCA2 tumor suppressor genes (gBRCAm) account for 5% to 10% of breast cancer cases. The recent approval of olaparib, a poly (ADP-ribose) polymerase (PARP) inhibitor, in HER2-negative, metastatic breast cancer provides an additional treatment option for patients with a gBRCAm. Inhibition of PARP results in the trapping of the PARP-DNA complex at replication forks, causing single-strand breaks to become double-strand breaks (DSBs). PARP trapping and the accumulation of DSBs ultimately leads to cell apoptosis. Cells deficient in BRCA1/2 are particularly sensitive to the effects of PARP inhibition, as cells lacking these functional proteins are unable to repair DSBs, resulting in synthetic lethality. The phase III OlympiAD trial showed a progression-free survival benefit but no overall survival benefit, leading to the US Food and Drug Administration approval of olaparib. The purpose of this article is to describe current data regarding the use of olaparib in metastatic breast cancer, its role in the treatment of patients with a gBRCAm, and the clinical implications of its approval for oncology advanced practitioners.
Extracting reusable services from legacy object-oriented systems

Migrating legacy object-oriented system functionalities to SOA environment is a important problem that frequently arises in many system maintenance and integration tasks. A service is often implemented by complex collaborations of many objects in an object-oriented system. Such complexity brings impedance mismatch between service and object. Moreover, the delocalized nature of object-oriented system, where the code associated with a service is distributed across many interrelated objects, make this problem even more challenging. This paper presents a four-staged approach that extracts services from legacy object-oriented systems with source code and documents. In the first stage source code of legacy system is loaded and preprocessed to form different modules according to the explicit dependencies among classes. While preprocessing, some aspect code is also embedded to intercept and log execution traces of system as well as to store states of involved objects. In the second stage, services, which represent system-level business functionalities, are modeled with use cases. Useful test cases are in turn generated from these use cases to identify services. In the third stage, the modularized and intercepted system is executed driven by generated test cases and the execution logs and object states are recorded. In the last stage, services are located and extracted by analyzing the execution logs and restoring the object states. The approach is supported by an integrated tool and the evaluation on five open-source systems yields encouraging result and demonstrates the practical applicability of the approach.
Effects of interatomic interaction on cooperative relaxation of two-level atoms

We study effects of direct interatomic interaction on cooperative processes in atom-photon dynamics. Using a model of two-level atoms with Ising-type interaction as an example, it is demonstrated that interparticle interaction combined with atom-field coupling can introduce additional interatomic correlations acting as a phase synchronizing factor. For the case of weakly interacting atoms with $Jl\ensuremath{\hbar}{\ensuremath{\omega}}_{0}$, where $J$ is the interparticle coupling constant and ${\ensuremath{\omega}}_{0}$ is the atomic frequency, dynamical regimes of cooperative relaxation of atoms are analyzed in the Born-Markov approximation both numerically and using the mean field approximation. We show that interparticle correlations induced by the direct interaction result in inhibition of incoherent spontaneous decay leading to the regime of collective pulse relaxation which differs from superradiance in nature. For superradiant transition, the synchronizing effect of interatomic interaction is found to manifest itself in enhancement of superradiance. When the interaction is strong and $Jg\ensuremath{\hbar}{\ensuremath{\omega}}_{0}$, one-particle one-photon transitions are excluded and transition to the regime of multiphoton relaxation occurs. Using a simple model of two atoms in a high-$Q$ single mode cavity we show that such transition is accompanied by Rabi oscillations involving many-atom multiphoton states. Dephasing effects of dipole-dipole interaction and solitonic mechanism of relaxation are discussed.
Regularized inversion for subsalt imaging: real data example

A computer implemented method of managing processor requests to load data items provides for the classification of the requests based on the type of data being loaded. In one approach, a pointer cache is used, where the pointer cache is dedicated to data items that contain pointers. In other approaches, the cache system replacement scheme is modified to age pointer data items more slowly than non-pointer data items. By classifying load requests, cache misses on pointer loads can be overlapped regardless of whether the pointer loads are part of a linked list of data structures.