Miracle-dz/UniFAR-FTUs huggingface dataset:
A CLASSIFICATION MODEL FOR THE INFERENCE OF SPATIAL PRECISION OF OPENSTREETMAP BUILDINGS WITH INTRINSIC INDICATORS

Abstract. To evaluate the quality of OSM data, similarities between OSM features and their homologous features represented in a reference database are relevant metrics. However, reference databases do not exist everywhere or are not freely available. Thus, having data quality assessment methods that rely only on intrinsic indicators (i.e. based on data itself without considering external information) would be useful in these cases. This article specifically uses the radial distance as a target quality metric to measure the quality of shapes. Its aim is to build a random-forest based classification method that reconstructs whether this distance is higher or lower than a specified threshold, using only intrinsic indicators as inputs. The classification algorithm is evaluated on a first dataset by computing the ROC (Receiver Operating Characteristic) curve and using the AUC (Area Under Curve) as an evaluation metric. The transferability of the resulting algorithm is then evaluated by measuring its performance on a second, distinct dataset. The experiments show that the algorithm performs reasonably well on both the initial and the second dataset, and that intrinsic indicators give relevant information to infer comparison-based shape quality (i.e. the radial distance).
Predicting Change in Management Accounting Systems: The Effects of Competitive Strategy

This study reports on a survey that investigated changes in management accounting and control systems in 31 Canadian manufacturing companies. Six variables that may influence changes in management accounting and control systems are identified from contingency theory literature. The findings indicate considerable changes in the organizations’ management accounting systems during the three year period. Changes in management accounting were best predicted by organizational capacity to learn. Such changes mostly occur in systems that support planning and control. Organizations that placed a high emphasis on differentiation strategies reported significant changes in their management accounting and control systems. Moreover the intensity of competition was found to affect management accounting change through the organizational structure.
Topology Proceedings

For a hereditarily unicoherent continuum X, its kernel means the common part of all subcontinua of X that intersect all arc components of X. This concept naturally appears when absolute retracts for the class of hereditarily unicoherent continua are studied. Let Y be such an absolute retract. Among other results, we prove that (a) Y is indecomposable if and only if it is identical with its kernel; (b) the dimension and the shape of Y are the same as ones of the kernel of Y ; (c) either Y is tree-like or the kernel of Y is indecomposable.
Topology Proceedings

Possible strengthenings of monotone normality are examined. Strong monotone normality: For each pair (H, K) of disjoint closed sets in X there is an open set G (H, K) such that (i.) H ⊂ G (H, K) ⊂ G (H, K) ⊂ X\K; (ii.) for disjoint closed sets H ′ and K′ with H ⊂ H ′ and K′ ⊂ K, G (H, K) ⊂ G (H ′, K′); (iii.) G (H, K) ∩ G (K, H) = φ; (iv.) if H ′ is a closed set and H ′ ⊂ G (H, K), then G (H ′, K) ⊂ G (H, K). Nested normality requires properties (i.), (ii.), and (iv.). Metric spaces, compact monotonically normal spaces, and linearly ordered topological spaces are among the strongly monotonically normal spaces. Strong monotone normality is preserved by closed maps among other things. Using the fact that every stratifiable space can be embedded (as a perfect retract) in an M1-space, one can prove that if every M1-space is strongly monotonically normal, then so is every stratifiable space. It is not known whether every M1-space is strongly monotonically normal. A version of the Dugundji Extension Theorem is proved for nestedly normal spaces. The concept of monotone normality was first studied by C. J. R. Borges in his dissertation where he showed that all stratifiable spaces have the property (see his paper, On Stratifiable Spaces [1]). In 1973, the first major paper [17] on “monotone normality” by Heath, Lutzer, and Zenor (who named the property) appeared. In 2000 Mathematics Subject Classification. 54B05, 54B17, 54C20, 54C55, 54D15, 54E20.
Crop Coefficient and Water Productivity in Conventional and System of Rice Intensification (SRI) Irrigation Regimes of Terrace Rice Fields in Indonesia

The current study initiated to investigate crop coefficient (Kc) and water productivity between conventional and System of Rice Intensification (SRI) irrigation regimes of terrace rice fields in Indonesia. Kc value represents plant responses to available water in the fields and its information is very important to determine crop evapotranspiration. The field experiments were conducted in the terrace rice fields belong to the local farmer located in Wonogiri, Central Java (S 7 o 47’18.66”, E 111 o 5’51.26”) during 21 July – 7 November 2014 in the dry season. Here, there were two irrigation regimes with three replications, i.e. conventional flooding (FL) regime and SRI with intermittent irrigation (II) regime. Water level in each regime was measured by pressure sensor, while weather parameters such as solar radiation, air temperature, precipitation, etc were measured by particular sensors and connected to the developed field monitoring system. Based on weather and water level data, we estimated the average Kc values for FL regime were 1.01, 1.02, 1.09 and 1.05 in the initial, crop development, reproductive and late growth stages, respectively. Meanwhile, the average Kc values under SRI regime were a little bit lower than that FL regime. Their values were 1.00, 0.96, 1.02 and 1.04 for the initial, crop development, reproductive and late growth stages, respectively. The reason was probably due to minimum soil evaporation under the drier soil condition. However, lower Kc values were not corresponded to the production of grain yield. Although it was not significant difference, we recorded that SRI regime produced 8.05 ton/ha grain yield, while FL regime was 7.63 ton/ha. Accordingly, with less irrigation water, SRI regime has higher water productivity than that FL regime.
A 114 ppm/°C-TC 0.78%-(σ/μ) Current Reference With Minimum-Current-Search Calibration

Accuracy and stability of current references (CRs) represent challenging requirements in modern analog integrated design, dictating the need for PVT-insensitive implementations. In this brief, we investigate a solution relying on the combination of analog CR topologies with an automatic on-chip temperature calibration, based on a minimum-current-search principle. The proposed algorithm does not require explicit temperature sensing and allows improving the temperature coefficient (TC) by a factor of 3 with respect to the analog core. The CR circuit was designed in 0.18 $\mu $ m CMOS for an output current of 469 nA. Mixed-signal simulations resulted in a TC of 114 ppm/°C (averaged across 200 Monte Carlo runs) and in a relative standard deviation of 0.78% for the reference current, which are competitive results compared with the state of the art.
Mobile Technology–Based Interventions for Stroke Self-Management Support: Scoping Review

Background There is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, “self-management support” is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted. Objective The objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management. Methods A scoping review was conducted according to the methodology by Arksey and O’Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis. Results A total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong. Conclusions On the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale.
ASSESSING UNCERTAINTY PROPAGATION OF PRECIPITATION INPUT IN HYDROMETEOROLOGICAL ENSEMBLE FORECASTING SYSTEMS

The aim of the thesis is the assessment of precipitation input uncertainty into hydrological response in hydrometeorological ensemble systems for flood prediction. The study has been preliminary focused on the development of a hydrometeorological system that couples a statistical precipitation downscaling model, known as STRAIN, with a fully-distributed hydrological model, known as tRIBS. In a subsequent part of the research, a rigorous method has been designed to test the consistency hypothesis (i.e. ensemble and observations are drawn from the same distribution) of the ensemble precipitation fields generated by downscaling models. The verification procedure has been tested by means of numerical experiments. Results permit us to conclude that: (i) ensemble members generated using model parameters estimated on the observed event are overdispersed; (ii) the adoption of a single calibration relation linking model parameters and coarse meteorological observable can lead to the generation of consistent ensemble members; (iii) when a single calibration relation is not able to explain observed events variability, storm-specific calibration relation should be adopted to return consistent forecasts. Finally, in the last part of the work, a rigorous method has been developed to assess consistency of ensemble streamflows produced by hydrometeorological systems. The method has been tested with numerical experiments using the prediction system designed in the preliminary phase of the study with the purpose of evaluating the propagation of uncertainty of downscaled precipitation input into hydrological response. The innovative aspects of the thesis rely on (i) the development of rigorous verification methods for ensemble outputs of hydrometeorological systems; and (ii) the application of these procedure on a great number of events in order to draw statistically significant conclusions.
Towards a real-time wide area motion imagery system

It is becoming increasingly important in both the defence and security domains to conduct persistent wide area surveillance (PWAS) of large populations of targets. Wide Area Motion Imagery (WAMI) is a key technique for achieving this wide area surveillance. The recent development of multi-million pixel sensors has provided sensors with wide field of view replete with sufficient resolution for detection and tracking of objects of interest to be achieved across these extended areas of interest. WAMI sensors simultaneously provide high spatial and temporal resolutions, giving extreme pixel counts over large geographical areas. The high temporal resolution is required to enable effective tracking of targets. The provision of wide area coverage with high frame rates generates data deluge issues; these are especially profound if the sensor is mounted on an airborne platform, with finite data-link bandwidth and processing power that is constrained by size, weight and power (SWAP) limitations. These issues manifest themselves either as bottlenecks in the transmission of the imagery off-board or as latency in the time taken to analyse the data due to limited computational processing power.
Flavonoids: Health Promoting Phytochemicals for Animal Production-a Review

| Flavonoids are phytochemicals derived from plants that known to possess several surprising health effects. They have been divided into several sub-classes, among those isoflavones (soy flavonoids) and flavanones (citrus flavonoids) have aroused great interest due to their immense availability and multidimensional properties. They exert their effects both as purified molecules and as plant extracts. Their well known properties includes anti-inflammation, antioxidation, antimicrobial, antiallergic and immunomodulation, have indicated both in animal and human models. Their modulatory role in several biological processes has also been identified like oxidation, detoxification of enzymes, apoptosis, host immune system and several others. Their potential to interfere with numerous cellular processes such as protection of genomic vitality suggest that flavonoids may used as dietary compounds for promotion of health and preclusion of several infectious and non-infectious diseases. They are known to enhance the gut morphology and functionality, mucosal and cellular immunity, immune organs size and amelioration of heat stress in farm animals; that suggested them health promoting phytochemicals for animal production.
Antioxidant and Antiproliferative Activities of Eclipta prostrata (L.) L. Extract and Isolated Compounds

The primary objective of this study was to elucidate the chemical composition, antioxidant properties, and antiproliferative activities of Eclipta prostrata extracts. Two flavonoids, 3′-O-methylorobol and apigenin 7-sulfate, were isolated from the ethyl acetate (EtOAc) extract of E. prostrata. The total phenolic and flavonoid contents of the E. prostrata extracts, as well as their overall antioxidant activities as measured using the 2,2-diphenyl-1-picrylhydrazyl and reducing power assays, were investigated. The E. prostrata EtOAc extract exhibited significantly greater antioxidant activities in both assays and higher phenol and flavonoid contents than the other extracts. The potential antiproliferative properties of the E. prostrata extracts and isolated compounds were investigated in vitro against the AGS, A549, and HT-29 cancer cell lines and the normal human HEK-293 cell line using the MTT assay. Annexin V-FITC/PI staining analysis and quantitative real-time PCR were used to assess AGS cell apoptosis. At a concentration of 100 µg/mL, the EtOAc extract of E. prostrata reduced AGS cell viability and proliferation by inducing apoptosis through the alteration of gene expression in the apoptotic cascade. These results highlight E. prostrata as a promising source of anticancer compounds.
Best of both worlds: A bus enhanced NoC (BENoC)

While NoCs are efficient in delivering high throughput point-to-point traffic, their multi-hop operation is too slow for latency sensitive signals. In addition, NoCS are inefficient for multicast operations. Consequently, although NoCs outperform busses in terms of scalability, they may not facilitate all the needs of future SoCs. In this paper, the benefit of adding a global, low latency, low power shared bus as an integral part of the NoC architecture is explored. The Bus-enhanced NoC (BENoC) is equipped with a specialized bus that has low and predictable latency and performs broadcast and multicast. We introduce and analyze MetaBus, a custom bus optimized for such low-latency low power and multicast operations. We demonstrate its potential benefits using an analytical comparison of latency and energy consumption of a BENoC based on MetaBus versus a standard NoC. Then, simulation is used to evaluate BENoC in a dynamic non-uniform cache access (DNUCA) multiprocessor system.
Study on the Suppression Method of Closed-Loop Surge Current Considering Photovoltaic Integration

The reliability of the distribution network will be improved greatly by closed-loop. At present, a large number of distributed power sources are connected to the distribution network, resulting in changes in the voltage distribution. The characteristics of the volatility, intermittency, and randomness of the distributed power supply have caused greater pressure on the load regulation of the distribution network. Thus, this paper studies the impact of closed-loop surge current considering distributed photovoltaic integration. Firstly, the voltage distribution is analyzed considering the influence of large-scale distributed photovoltaic integration, which provides a theoretical basis for the integration node selection. Secondly, based on the impact analysis, an improved model is established for the closed-loop surge current calculation which considers the impact of PV integration, and the calculation formula of the closed-loop surge current is derived. Then, a strategy of surge current suppression is proposed by changing the photovoltaic integration capacity. Finally, the strategy is verified in IEEE 33-bus system based on MATLAB/SIMULINK. The simulation results validate the performance and effectiveness of the proposed strategy.
International Conference on Intelligent Computing and Control ( I 2 C 2 ) Deep Learning For Computer Vision Tasks : A review

Deep learning has recently become one of the most popular sub-fields of machine learning owing to its distributed data representation with multiple levels of abstraction. A diverse range of deep learning algorithms are being employed to solve conventional artificial intelligence problems. This paper gives an overview of some of the most widely used deep learning algorithms applied in the field of computer vision. It first inspects the various approaches of deep learning algorithms, followed by a description of their applications in image classification, object identification, image extraction and semantic segmentation in the presence of noise. The paper concludes with the discussion of the future scope and challenges for construction and training of deep neural networks.
International Conference on Intelligent Computing and its Emerging Applications ( ICEA ) Implementing blockchain technology in the Internet of Vehicle ( IoV )

Abstract— Vehicle Connectivity or the Internet of vehicle (IoV) is projected to be the solution of the pressing issue on traffic, enables a better traffic management system and reduce traffic accidents. On this, however, vehicular communication is a parameters that will ensure its realization. However, vehicular communication is not exempted of the never-ending issues on security and privacy. Thus, this study proposes a mechanism on the utilization of blockchain technology in ensuring authentic vehicle identification and data authentication as data packets are transmitted from one vehicle to another. The study utilizes the Simulation of Urban Mobility (SUMO) and the Objective Modular Network Testbed in C++ (OMNET++) coupled with the developed program and cryptographic algorithm integrated in OMNET++ for vehicle communication process. Results indicate that blockchain is can be used as a security mechanism in vehicle identification and data authentication in the Internet of Vehicle.
The impact of cycling hypoxia on the phenotype of HPV‐positive cervical cancer cells

Cycling hypoxia (cycH) is a prevalent form of tumor hypoxia that is characterized by exposure of tumor cells to recurrent phases of hypoxia and reoxygenation. CycH has been associated with a particularly aggressive cellular phenotype of tumor cells and increased therapy resistance. By performing comparative analyses under normoxia, physoxia, chronic hypoxia, and cycH, we here uncover distinct effects of cycH on the phenotype of human papillomavirus (HPV)‐positive cervical cancer cells. We show that—other than under chronic hypoxia—viral E6/E7 oncogene expression is largely maintained under cycH as is the E6/E7‐dependent regulation of p53 and retinoblastoma protein. Further, cycH enables HPV‐positive cancer cells to evade prosenescent chemotherapy, similar to chronic hypoxia. Moreover, cells under cycH exhibit a particularly pronounced resistance to the proapoptotic effects of Cisplatin. Quantitative proteome analyses reveal that cycH induces a unique proteomic signature in cervical cancer cells, which includes a significant downregulation of luminal lysosomal proteins. These encompass the potentially proapoptotic cathepsins B and cathepsin L, which, however, appear not to affect the response to Cisplatin under any of the O2 conditions tested. Rather, we show that the proapoptotic Caspase 8/BH3‐interacting domain death agonist (BID) cascade plays a pivotal role for the efficiency of Cisplatin‐induced apoptosis in HPV‐positive cancer cells under all investigated O2 conditions. In addition, we provide evidence that BID activation by Cisplatin is impaired under cycH, which could contribute to the high resistance to the proapoptotic effects of Cisplatin. Collectively, this study provides the first insights into the profound phenotypic alterations induced by cycH in HPV‐positive cancer cells, with implications for their therapeutic susceptibility.
Draft Animal Power Versus Photovoltaic: A Benchmark

In recent years, prototypes have demonstrated the capacity of draft animal power as a primary source for generating electricity. In this paper, it is shown that the prototype of a medium-sized draft animal lifts 2,500 liters of water to a height of six meters within an hour, as well as, it can grind grains and power a sieve. After establishing the technical efficiency of this system, a comparative cost-benefit analysis has been conducted by examining the net present value of various electric generators suitable for remote villages. Our evaluation encompassed photovoltaic, draft animal power, fuel engines, and human labor as energy sources. For rural villages already employing draft animal power, this work indicates its superiority over other options. The ranking prioritizes draft animal power, followed by photovoltaic systems, fuel engines, and human labor. Additionally, this study reveals that draft animal power significantly reduces external expenditures. This means that the resources addressed to or generated in the villages can be spent on fertilizers, pesticides, and other rural needs.
Terms of use : Click here COGNITIVE ABILITIES OF EMIRATI AND GERMAN ENGINEERING UNIVERSITY STUDENTS

Journal of Biosocial Science / Volume 46 / Issue 02 / March 2014, pp 199 213 DOI: 10.1017/S0021932013000266, Published online: 23 May 2013 Link to this article: http://journals.cambridge. org/abstract_S0021932013000266 How to cite this article: HEINER RINDERMANN, ANTONIA E. E. BAUMEISTER and ANNE GRÖPER (2014). COGNITIVE ABILITIES OF EMIRATI AND GERMAN ENGINEERING UNIVERSITY STUDENTS . Journal of Biosocial Science, 46, pp 199-213 doi:10.1017/S0021932013000266 Request Permissions : Click here