Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost-Effective Signal Map Crowdsourcing with Auto-Encoder Based Active Matrix Completion

Signal map is of great importance, especially in the dawn of 5G network, for site spectrum monitoring, location-based services (LBS), network construction, and cellular planning. Despite its significance, the traditional signal map construction, e.g., through full site survey, could be time-consuming and labor-intensive as the signal varies frequently over time and the accuracy requirement grows rapidly with the emergence of new applications. Even with crowdsourcing scheme, the participants tend to be unevenly distributed in space while the encouragement budgets for the participants could be far from enough to collect adequate high-quality measurements. Therefore, the signal map constructed by crowdsourcing is often sparse and incomplete. To this end, in this paper, we study how to effectively reconstruct and update the signal map in the case of partially measured signal maps with minimum cost and propose an auto-encoder-based active signal map reconstruction method (AER). Our method is mainly innovative in three parts. Firstly, AER can effectively update the signal map with only a small number of observations while also fully using the incomplete historical signals to effectively update the signal map online. Secondly, AER consists of an active query mechanism which quantitatively evaluates the most valuable measurement site for reconstruction, which further reduces the measurement cost to a large extent. Thirdly, to cope with the measurement dynamics, we give a new signal map model describing not only the signal strength but also the signal dynamics, based on which an advanced AER algorithm is proposed. The simulation results demonstrate the advantages and effectiveness of our approach in both accuracy and cost.
Effect of Training on Small-Scale Rice Production in Northern Ghana

Training in modern farming methods enables farm households in developing countries to improve agricultural productivity. Notwithstanding the efforts of governmental and non-governmental organisations to provide farmers with agricultural training, productivity remains low. The existing literature provides little empirical evidence of the effect of training on agricultural productivity in Ghana. This study therefore seeks to bridge this gap by investigating small scale rice farmers’ participation in agricultural training programmes and its effect on productivity in northern Ghana. A treatment effect model was used to account for sample selection bias. The results indicated that participation in training increased with the number of extension visits, group membership, access to credit and the degree of specialisation in rice production. Furthermore, total output and labour productivity both increased with participation in training but the relationship with land productivity (yield) was insignificant. On average, participation in training was associated with 797kg increase in rice output, while labour productivity increased by 7.3kg/man-day. With the exception of farm capital, all the production inputs had a positively significant relationship with output suggesting sub-optimal use of capital in production. The study concludes that farmers’ training needs are not adequately being met while inadequate capital is constraining farm output. Increasing access to extension service and involving farmer-based organisations in the design and implementation of training programmes will enhance participation and farm performance. JEL Classification: C21, D24, Q12
Wound-healing effect of Platycodon grandiflorus (Jacq.) extract in rats

Purpose: To evaluate the healing effect of Platycodon grandiflorus (Jacq.). extract (PGE) on experimental burn wounds in rats. Methods: Rats were randomly divided into four groups of eight rats each: control group, silver sulfadiazine (SSD)-treated group, moist exposed burn ointment (MEBO)-treated group and PGE-treated group. PGE, SSD and MEBO were applied topically twice daily for 7 days. SSD and MEBO were used as reference control. External observation of wound area contraction and histological analysis of wound tissues was performed respectively. The effect of PGE on matrix metalloproteases (MMPs), vascular endothelial growth factor (VEGF) and Type-III Collagen proteins of wound tissue in rats were analysed by Western blot. Results: After 10 days of topical treatment with PGE, PGE-treated group showed faster reduction in wound area when compared with control groups (p < 0.01). Matrix metalloprotease-2 (MMP-2), matrix metalloprotease-9 (MMP-9), VEGF and type-III collagen expressions in the wound tissue increased significantly (p < 0.05) when compared with the control burn wounds. Histological results showed an overall early recovery and regeneration in PGE-treated group when compared with control group. Conclusion: PGE possesses a significant wound-healing activity in full-thickness burn wounds in rats. Therefore, it can potentially be developed for the management of burns.
TIMING OF MIOCENE-QUATERNARY MAGMATISM AND METALLOGENY IN THE SOUTH APUSENI MOUNTAINS, ROMANIA

ROSU Emilian, UDUBASA Gheorghe, PÉCSKAY Zoltan, PANAIOTU Cristian, PANAIOTU Cristina Emilia Geological Institute of Romania, 1 Caransebes Street, RO-78344, Bucharest 32, Romania. E-mail: rosu@igr.ro; Institute of Nuclear Research of the Hungarian Academy of Sciences, P.O. Box 51, Bem ter 18/c, H-4001 Debrecen, Hungary; University of Bucharest, Paleomagnetism Laboratory, Bălcescu 1, 70111 Bucharest, Romania
Distribution of the Sum of Fisher-Snedecor $\mathcal{F}$ Random Variables and Its Applications

The statistical characterization of the sum of random variables (RVs) are useful for investigating the performance of wireless communication systems. We derive exact closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of a sum of independent but not identically distributed (i.n.i.d.) Fisher-Snedecor $\mathcal{F}$ RVs. Both PDF and CDF are given in terms of the multivariate Fox's $H$-function. Besides, a simple and accurate approximation to the sum of i.n. i.d. Fisher-Snedecor $\mathcal{F}$ variates is presented using the moment matching method. The obtained PDF and CDF are used to evaluate the performance of wireless communication applications including the outage probability, the effective capacity and the channel capacities under four different adaptive transmission strategies. Moreover, the corresponding approximate expressions are obtained to provide useful insights for the design and deployment of wireless communication systems. In addition, we derive simple asymptotic expressions for the proposed mathematical analysis in the high signal-to-noise ratio regime. Finally, the numerical results demonstrate the accuracy of the derived expressions.
A New 3 D Hydrostatic-Assumption Model for Turbidity Current Simulation

3D hydrostatic-assumption (HA) models have been widely used in environmental flows where 3D effect is important but hydrostatic assumption is sufficiently valid. This is the case for most eco-hydraulic issues in reservoirs. This study reports the research and development of a new 3D HA model named SRH-3D suitable for turbidity current simulation in reservoirs. SRH-3D adopts a new mesh type and new numerical algorithms. In the paper, a brief review is provided with regard to the existing 3D HA models along with shortcomings. The governing equations and the new numerical methods are then presented for turbidity current simulation. Selected test cases are reported to show the capability of the new model.
Improving Interactive Image Segmentation with Image Preprocessing

Interactive image segmentation uses user input to iteratively refine the object segmentation mask. In this paper, we investigate ways to improve interactive image segmentation models. We experiment with various approaches of using the output from non-interactive object segmentation models to improve the performance of the GrabCut [3] algorithm. We also simulate user input for evaluation purposes and investigate the effect of different user input formats on model performance. By using the output of Mask R-CNN [1] to preprocess the image, and then applying the GrabCut algorithm, we are able to significantly reduce the number of iterations required to achieve 0.85 and 0.9 IOU on the COCO [2] dataset. Our result holds for all user input formats.
1 Analysis of the Size of Two-Component C 60C 70 Fullerene Whiskers

Toshio Konno1, Takatsugu Wakahara2, Chika Hirata2, Kun’ichi Miyazawa3 and Kazuhiro Marumoto1,4* 1 Division of Materials Science, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan 2 National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan 3 Imaging Section (IMG), Okinawa Institute of Science and Technology Graduate University (OIST), 1919-1 Tancha, Onna-son, Kunigami-gun, Okinawa, 904-0495, Japan. 4 Tsukuba Research Center for Energy Materials Science (TREMS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8571, Japan *Corresponding author. Fax: 81-29-853-4490. E-mail address: marumoto@ims.tsukuba. ac.jp
Effects of Operating Parameters on Catalytic Oxidation Process of Coal Mine Ventilation Air Methane

Based on the preheating catalytic oxidation device designed and built by Shandong University of Technology of China, the catalytic oxidation process of ventilation air methane in a honeycomb ceramic oxidation bed coated by catalyst Pd was numerically investigated. Influences of catalyst, methane volume concentration, preheating temperature and space velocity on catalytic oxidation process were analyzed. The results show that the catalyst can significantly improve the temperature rise of the oxidation bed and methane conversion rate. Higher inlet methane volume concentration and preheating temperature both increase the temperature rise of the oxidation bed, so the determination of the minimum volume of methane concentration and preheating temperature can guarantee the normal operation of the preheating catalytic oxidation device. With increasing space velocity, the temperature of the ceramic bed rises more slowly which causes temperature peak shift to the downstream, and the methane conversion rate decreases, so the preheating temperature should be reduced to ensure adequate temperature rise of the oxidation bed at low space velocity. Among the operating parameters, the methane volume concentration has an obviously greater effect on the oxidation bed heat dissipation flux density than space velocity and preheating temperature.
Effective Refractive Index and V-Parameter Characterization for Guided Modes in Multimode , Nano and Three Layer Optical Fibers

The rapidly growing technological trends and higher data rates support has become the key feature in future communication medium selection. Multi-mode optical fiber is well matched for high data rate requirements due to its tendency to support multiple modes through one core at a time which results in higher spectral efficiency. In this research work, we have investigated the fiber design parameters Core diameter (μm), Wavelength (nm), Refractive index profile to achieve multi-mode operation and respective modal dispersion curves for each guided mode. The research work also includes the guided modes and their modal dispersion curves calculation through nano-fiber at three standard telecommunication wavelengths (850nm, 1310 nm and 1550 nm). In some special cases like tapered micro-fiber light is guided through fiber by cladding surrounding interface instead of core cladding interface. Two layers fiber architecture is not suitable for such scenarios. Guided modes have been investigated in three-layer fiber architecture to deal with such scenarios. A comprehensive analysis of Monerie, Tsao and Erdogan guided modes in three-layer fiber has also been conducted.
MARBLE: Mining for Boilerplate Code to Identify API Usability Problems

Designing usable APIs is critical to developers' productivity and software quality, but is quite difficult. One of the challenges is that anticipating API usability barriers and real-world usage is difficult, due to a lack of automated approaches to mine usability data at scale. In this paper, we focus on one particular grievance that developers repeatedly express in online discussions about APIs: "boilerplate code. " We investigate what properties make code count as boilerplate, the reasons for boilerplate, and how programmers can reduce the need for it. We then present MARBLE, a novel approach to automatically mine boilerplate code candidates from API client code repositories. MARBLE adapts existing techniques, including an API usage mining algorithm, an AST comparison algorithm, and a graph partitioning algorithm. We evaluate MARBLE with 13 Java APIs, and show that our approach successfully identifies both already-known and new API-related boilerplate code instances.
MICROSTRUCTURE CHARACTERISTICS OF SOME POLYCRYSTALLINE OXIDE COMPOUNDS PREPARED BY SOL-GEL-SELFCOMBUSTION WAY FOR GAS SENSOR APPLICATIONS

According to sol-gel-selfcombustion method, the reacting substances are metal nitrates and ammonium hydroxide, the coprecipitation takes place into a colloidal medium and the reaction for ferrite synthesis is a quick combustion. By such a method and using an adequate heat treatment we have successfully prepared fine grained spinel ferrites and M-type hexaferrites. Structural characteristics of the heat treated samples by X-ray diffraction and SEM were studied. It was shown that small particle sizes, of about 100 nm, can be obtained. The experimental results have proved that the present method is an effective procedure to elaborate fine, chemically homogeneous and pure ferrite powders at a lower temperature than that of the conventional mixed-oxide method.
Tositumomab and 131I Therapy in Non-Hodgkin’s Lymphoma

Tositumomab and 1 3 1 I-tositumomab constitute a relatively new radioimmunotherapeutic regimen for patients with CD20+ follicular non-Hodgkin's lymphoma (NHL). Currently, it is approved for use in patients whose disease has relapsed after chemotherapy and is refactory to rituximab, including patients whose tumors have transformed to a higher histologic grade. This review outlines the current and evolving status of this therapeutic regimen at nonmyeloablative doses. Methods: Clinical data from multiple published studies and preliminary communications encompassing more than 1,000 patients were reviewed to describe the current status of tositumomab and 1 3 1 I-tositumomab therapy. The therapy is delivered in 2 parts, a dosimetric dose and a therapeutic dose. The therapeutic radioactivity millicurie dose is calculated on a patient-individualized ("tailored") basis. A series of 3 total-body γ-camera scans are used to determine the patient-specific pharmacokinetics (total-body residence time) of the radiolabeled antibody conjugate required to deliver the desired total-body radiation dose, typically 75 cGy. Results: In clinical trials, objective response rates in patients who had been extensively pretreated with chemotherapy ranged from 47% to 68%. Tositumomab and 1 3 1 I-tositumomab therapy also was effective in patients who had failed to respond to or who had relapsed after rituximab therapy, with a 68% overall response rate. Thirty percent of such patients achieved complete responses that were generally of several years duration. Single-center trials using tositumomab and 1 3 1 I-tositumomab therapy alone or after chemotherapy in previously untreated patients have shown response rates in excess of 90%, with most responses complete. Retreatment with tositumomab and 1 3 1 I-tositumomab and use of lower total-body radiation doses of tositumomab and 1 3 1 I-tositumomab to treat patients who have relapsed after stem cell transplantation have been shown feasible in limited clinical studies. Toxicity is predominately hematologic; however, human antimouse antibodies, hypothyroidism, and myelodysplastic syndrome have been reported in a small fraction of patients. Conclusion: Tositumomab and 1 3 1 I-tositumomab therapy at patient-specific, nonmyeloablative doses is safe and effective in treatment of relapsed and refractory follicular NHL. Toxicity is mainly hematologic and reversible. Tositumomab and 1 3 1 I-tositumomab therapy is assuming a growing role in this common malignancy.
SEISMIC PROTECTION OF CABLE-STAYED BRIDGES UNDER MULTIPLE-SUPPORT EXCITATIONS

For the structural control of seismic-induced vibrations of long-span cable-supported bridges, it is extremely important to include the effects of the ground motion spatial variation in the analysis and design of effective control systems. Since, the spatial variation of the ground motion plays an important role in the structural response, as has been shown in recent earthquakes. So, the control system should be designed not only to mitigate the dynamic component of the structural response but also to counteract the effects of the pseudo-static component of the response. The feasibility and efficiency of passive and active control strategies for the vibration control of cable-stayed bridge under multiple support excitations have been examined to enhance a structure’s ability to withstand dynamic loading. Comparison of the response due to non-uniform input ground motion with different wave propagation velocities with the response due to uniform input demonstrates the importance of accounting for spatial variability of excitations. The control systems are shown to perform well when earthquake motions are uniform at all supports along the entire cable-stayed bridge, however, under multiple-support excitations, the performance of the control system with these parameters get worse dramatically over almost all of the evaluation criteria. The assumption of uniform earthquake motion along the entire bridge may be unrealistic for long span bridges since the differences in ground motion among different supports due to travelling seismic waves could result in quantitative and qualitative differences in seismic response. Design codes and retrofitting techniques must be upgraded to take into account the spatial variation of the seismic input.
Capacity of the range of random walk on Z

We study the scaling limit of the capacity of the range of a simple random walk on the integer lattice in dimension four. We establish a strong law of large numbers and a central limit theorem. The asymptotic behaviour is analogous to that found by Le Gall in ’86 [28] for the size of the range in dimension two.
Incorporating Static Type-Checking into Functions Defined on Context-Free Languages

This paper presents a type-checking method for the functional language LFC. A distinct feature of LFC is that it uses contextfree (CF) languages as data types to represent compound data structures. This makes LFC a dynamically typed language, since the inclusion relation of two CF languages is undecidable. To improve runtime efficiency, we incorporated static type-checking into LFC, utilizing a decidable subset of the inclusion relation, i.e. the sentential form relation. The type-checking also converts the expressions with implicit structures to structured representation.
A Comparative Study on Traceability Approaches in Software development Life Cycle

Traceability supports the software developers to keep the track record of software changes during the software artifacts developments. Most recent research publications are included to compare the traceability approaches in terms of a defined set of seven parameters. Each of the research study has covered at least a set of pair of features that reveals their importance in software artifacts development. This comparative analysis work is mainly focused on case studies used in the research works. Anti-lock braking system and microwave oven product line are two important case studies, which involved the traceability applications in the system development. Traceability features range from coverage type to coverage-based reconstruction that distinguishes the research works from each other. Keywords— Traceability, Traceability Matrixes, Comparative Analysis, Paths, Links.
Bimodal magnetic resonance imaging-computed tomography nanoprobes: A Review

Bimodal imaging combines two imaging modalities in order to benefit from their advantages and compensate the limitations of each modality. This technique could accurately detect diseases for diagnostic purposes. Nanoparticles simultaneously offer diagnostic data via various imaging modalities owing to their unique properties. Moreover, bimodal nanoprobes could be incorporated into theranostic systems for the design of multifunctional agents. Magnetic resonance imaging (MRI) and computed tomography (CT) are frequently used as noninvasive imaging modalities. These powerful, noninvasive diagnostic techniques used for the imaging of soft and hard tissues, respectively. However, MRI has low sensitivity and is not suitable for the imaging of bony structures. On the other hand, low soft tissue contrast is a major limitation of CT. Therefore, the development of various contrast agents that are proper for bimodal MRI/CT nanoprobes could largely influence modern medicine. This review aimed to specifically focus on the imaging properties of bimodal MRI/CT nanoprobes and their biomedical applications.
Search-Based Software Engineering Approach for Detecting Code-Smells with Development of Unified Model for Test Prioritization Strategies

Source code of large systems is iteratively refined, restructured and evolved due to many reasons such as correcting errors in design, modifying a design to accommodate changes in requirements, and modifying a design to enhance existing features. This huge cost may potentially be greatly lowered by providing automatic or semi-automatic solutions to improve their understandability, adaptability and extensibility to eliminate bad-practices. Many studies related that these software maintenance activities utilise up to 90 percent of the total cost of a normal software project. This study considers code-smells detection a main software development problem. The idea is that different methods are combined during the detection process to find a consensus regarding the detection of code-smells. Different adaptations (zero parameter, one, two and more parameter functions) are found out, to solve a common goal which is the detection of code-smells. In addition, this work provides the first single model that is generic enough to study GUI and Web applications together to generate test cases. Use this model to define general error validating criteria that are applicable to both GUI and Web applications. The ultimate goal is to evolve the model and use it to develop a unified theory of how all Event Driver Software should be tested.