Miracle-dz/UniFAR-FTUs huggingface dataset:
FAKTOR-FAKTOR KETERLAMBATAN PENDERITA KANKER PAYUDARA DALAM MELAKUKAN PEMERIKSAAN AWAL KE PELAYANAN KESEHATAN

Abstrak Keterlambatan penderita kanker payudara melakukan pemeriksaan awal ke pelayanan kesehatan di Indonesia mencapai lebih dari 80%. Hal ini mengakibatkan kejadian kanker payudara banyak yang ditemukan pada stadium lanjut. Penelitian ini bertujuan untuk mengetahui faktor yang berhubungan dengan keterlambatan penderita kanker payudara dalam melakukan pemeriksaan awal ke pelayanan kesehatan. Desain penelitian menggunakan studi observasional analitik dengan desain case control yang dilaksanakan pada bulan April-Mei 2015. Teknik pengambilan sampel yang digunakan concecutive sampling dan convenient sampling dengan jumlah sampel 108 orang. Hasil penelitian menunjukkan terdapat enam faktor yang memiliki hubungan bermakna dengan keterlambatan penderita kanker payudara dalam melakukan pemeriksaan awal ke pelayanan kesehatan yaitu tingkat pendidikan (tingkat pendidikan rendah p=0,001;OR 5,67 dan tingkat pendidikan sedang p=0,008;OR 3,65), tingkat pengetahuan (tingkat pengetahuan kurang p<0,001;OR 15,7 dan tingkat pengetahuan cukup p=0,011;OR 9,5), keterjangkauan biaya (p=0,003;OR 5,95), keterpaparan informasi/media massa (p=0,011;OR 2,75), dukungan suami/keluarga (p<0,001;OR 4,35), dan perilaku deteksi dini (tidak pernah SADARI (pemeriksaan payudara sendiri) p<0,001;OR 11,08 dan tidak rutin SADARI p=0,032;OR 5.18)). Kata Kunci : Kanker payudara; Keterlambatan Pemeriksaan Payudara; Rumah Sakit Sanglah Abstract Almost 80% of breast cancer patients In Indonesia have delayed in breast cancer screening. The purpose of this study was to determine some factors associated with breast screening retardation of breast cancer patient. This was an analytical observational study with case control design conducted in April-May 2015. Samples were collected by consecutive sampling and convenient sampling with the number of sample were 108. The result showed that there were six factors had a significant association with breast screening delay of breast cancer patient. Those were education level (low education level p=0,001;OR 5,67 dan moderate education level p=0,008;OR 3,65), knowledge level (low knowledge level p<0,001;OR 15,7 dan moderate knowledge level p=0,011;OR 9,5), cost affordability (p=0,003;OR 5,95), information/massa media exposure (p=0,011;OR 2,75), partner/family support (p<0,001;OR 4,35), and early detection behavior (have not had early detection p<0,001;OR 11,08 dan infrequently early detection p=0,032;OR 5.18). Keyword : Breast cancer; Breast screening retardation; Sanglah Hospital.
A Review of Literature on Task Scheduling In Cloud Computing

The cloud environment is essential utilization of a dynamic, heterogeneous and complex environment. One of the fundamental risks in this environment is related to task scheduling. Cloud task scheduling is an NP-hard optimization problem, and several meta-heuristic algorithms have been proposed to solve it. In scheduling strategy, a task scheduler must adapt to the modifying environment and various kinds of tasks. The ant colony optimization (ACO) algorithm was adapted on machine capacity and performance from social theories with a fair and accurate resource allocation approach, to resolve the task scheduling trouble in cloud computing. In this process, we evaluate and illustrate a Cloud scheduler depending upon Ant Colony Optimization (ACO). KeywordsCloud Computing, Task Scheduling, Resource Allocation, Ant Colony Optimization
Health benefits induced by adherence to the Mediterranean lifestyle components diet and physical activity

The purpose of this overview is to present the evidence that adherence to Mediterranean lifestyle components is beneficial for functional and cognitive health. Although Mediterranean diet is the principal component of this lifestyle, other components, like physical activity and socializing, form complex interactions and together they complete into the Mediterranean lifestyle. Individual components and their interactions have not been studied thoroughly, however, there is an increasing attention for these matters through scientific literature in original research, reviews and meta-analysis. This paper considers the recent knowledge and trends related to defining the indicators concerning these lifestyle components, as well as summarizes the health benefits induced by adherence to them and explains why Mediterranean lifestyle components are important for health.
The MEDITS trawl survey specifications in an ecosystem approach to fishery management

The MEDITS programme started in 1994 in the Mediterranean with the cooperation among research institutes from four countries: France, Greece, Italy and Spain. Over the years, until the advent of the European framework for the collection and management of fisheries data (the Data Collection Framework, DCF), new partners from Slovenia, Croatia, Albania, Montenegro, Malta and Cyprus joined MEDITS. The FAO regional projects facilitated the cooperation with non-European countries. MEDITS applies a common sampling protocol and methodology for sample collection, data storage and data quality checks (RoME routines). For many years, MEDITS represented the most important data source supporting the evaluation of demersal resources by means of population and community indicators, assessment and simulation models based on fishery-independent data. With the consolidation of the DCF, MEDITS routinely provides abundance indices of target species for tuning stock assessment models of intermediate complexity. Over the years, the survey scope has broadened from the population of demersal species to their fish community and ecosystems, and it has faced new challenges, such as the identification of essential fish habitats, providing new scientific insights linked to the Marine Strategy Framework Directive (e.g. biodiversity, trophic webs, allochthonous species and marine macro-litter evaluations) and to the ecosystem approach to fishery and marine spatial planning.
Non-destructive Estimation of Leaf Area Index in Sweet Cherry Trained as Tatura-Trellis

Knowledge of the Leaf Area Index (LAI) of sweet cherry orchards is crucial for diagnosis about their production potential. The objective of this research was to develop simple, precise and non-destructive methods for estimating LA/tree (and based on that the LAI, dividing LA/tree by the area allocated to each tree) in orchards trained as taturatrellis. Therefore, four models were evaluated: two simple linear regression models using as explanatory variables the Trunk Cross-Sectional Area (TCSA; dm) (30 cm above the floor) or the Wood Volume of the Central Leader (WVCL; dm) (considering the trunk as a cone: WVCL = π•r•h/3) and two multiple regression models combining Mean Leaf Area (MLA; dm) with the two previously mentioned variables. In all cases, LA/tree was the dependent variable. The TCSA and WVCL of 27 ‘Sweetheart’/’SL64’ trees conducted as tatura-trellis were registered, covering a wide range of tree sizes. At full canopy, all leaves of each tree were counted and 2% of them were randomly taken as a sample, from which the MLA was estimated. Leaf Area (LA) per tree was calculated multiplying the number of leaves by MLA. The best models to explain LA/tree variability were multiple linear regression equations combining WVCL and MLA (LA/tree = -9.18 + 37.31 · MLA + 0.83 · WVCL), or TCSA and MLA (LA/tree = -11.23 + 37.2 · MLA + 15.91 · TCSA), with R of 0.83 and 0.84, respectively. The R of simple linear regression models utilizing WVCL or TCSA were also high (0.69 and 0.70, respectively). However, the non-inclusion of MLA in these models, would limit their applicability in cultivars with different leaf morphology. The multiple regression equation including WVCL and MLA as explanatory variables seems to be the most robust model to be applied in other situations, because it considers two dimensions of the trunk and the leaf morphology.
Economic Activity, International Intervention, and Transitional Governance: A Comparative Case Study of Somalia

This paper investigates the impact of international state-building efforts in Somalia on economic development. We use satellite data on night lights to measure economic activity to deal with nonexistent or poor-quality national income accounts. Using the synthetic control method, we find that the establishment of the Transitional Federal Government in 2004 was associated with economic stagnation relative to the years under statelessness. Using nighttime light emissions, we find economic stagnation regardless of whether we use the total lights emitted from the country or the spread of lights across the country. Our empirical findings are consistent with the idea that the exogenously imposed Transitional Federal Government destabilized the country through an incongruity with the informal institutions that had led to development during Somalia’s ‘statelessness. ’ JEL Codes: 010; 017; 057; P16; P50
A dynamic extension of the pragmatic blending scheme for 4 scale-dependent sub-grid mixing: Dynamic blending sub-grid mixing scheme

The pragmatic blending approach of Boutle et al. (2014) treats sub-grid turbulent mixing using a weighted average of a 1D mesoscale-model and a 3D Smagorinsky formulation. Here the approach is modified and extended to incorporate a scaledependent dynamic Smagorinsky scheme instead of a static Smagorinsky scheme. Results from simulating an evolving convective boundary layer show that the new scheme is able to improve the representation of turbulence statistics and potential temperature profiles at grey-zone resolutions during the transition from the shallow morning to the deep afternoon boundary layer. This is achieved mainly because the new scheme enables and controls an improved spin-up of resolved turbulence. The dynamic blending scheme is shown to be more adaptive to the evolving flow and somewhat less sensitive to the blending parameters. The new approach appears to offer a more robust and more flexible formulation of blending and the results are strongly encouraging of further assessment and development.
NUMERICAL ALGORITHM FOR FINDING OPTIMAL INITIAL CONCENTRATIONS OF CHEMICAL REACTIONS

This article is devoted to the problem of developing methods for mathematical modelling in the sphere of optimal planning in a chemical experiment. In the article, the problem of finding the optimal ratio for initial concentrations of substances is formulated in general terms and an algorithm for solving this problem is constructed basing on the method of artificial immune systems. The developed algorithm for finding the optimal initial concentrations of substances allows solving the problem of experiment planning in chemistry at the computational experiment stage. In this case, the solution of the optimization problem found with its help does not depend on the choice of the initial approximation. The algorithm was tested for the industrially meaningful process of benzilidenebenzilamine synthesis for which the optimum values of the initial concentrations were calculated in order to obtain maximum yield of the reaction product. ABSTRAK: Artikel ini ditujukan untuk masalah mengembangkan kaedah pemodelan matematik dalam bidang perancangan optimum dalam percubaan kimia. Dalam artikel itu, masalah mencari nisbah optimum untuk konsentrasi awal bahan digubal secara umum dan algoritma untuk menyelesaikan masalah ini dibina berdasarkan kaedah sistem imun buatan. Algoritma yang dibangunkan untuk mencari kandungan konsentrasi awal yang optimum membolehkan menyelesaikan masalah perancangan percubaan dalam kimia pada peringkat percubaan pengkomputeran. Dalam kes ini, penyelesaian masalah pengoptimuman yang didapati dengan bantuannya tidak bergantung pada pilihan permulaan awal. Algoritma ini telah diuji untuk proses sintesis benzilidenebenzilamin yang bermakna industri yang mana nilai-nilai optimum kepekatan awal dikira untuk mendapatkan hasil maksimum produk reaksin.
Transmission Line Capacity Enhancement with Unified Power Flow Controller Considering Loadability Analysis

This paper proposes transmission line capacity enhancement with optimal location and sizing of UPFC on IEEE 14-bus network. This is necessary because of the increase in load growth with every passing day without an equivalent increase of line capacity which has brought many power systems closer to their stability limit. The dynamic and practical application of this proposed method is achieved by increasing linearly, the loading factor (λ) from 1.25 to 1.50 of the base case value of 1.0 and then, its effect is investigated. In each of the increment, the power flow result is obtained using Newton-Raphson method, while the optimal location and sizing of UPFC are done using Grey Wolf Optimization (GWO) technique. The voltage deviation before and after the installation of the FACTS device is also studied at each load variation. This approach will help the bulk dispatcher of power to plan ahead so as to meet and supply the ever-growing in the demand for adequate and reliable power system as a result of population growth, improved living standards and technological advancement. The efficacy of the proposed method is verified on a standard IEEE 14-bus system. The simulation results show the effectiveness and suitable performance of the proposed methodology at enhancing transmission capacity and deferring or eliminating for transmission line upgrading.
Understanding the Adoption Intention of AI through the Ethics Lens

Understanding users and user behaviors in accepting new technologies such as AI has been ever more important. Meanwhile, information systems with AI inevitably engenders such ethical issues as transparency and accountability related to the consequences of recognition, decisions, and recommendations. Our work adds moral psychology variables to Theory of Reasoned Action (TRA) in order to better explicate the adoption aspects of AI. For the research, we employed social desirability, and selfconsistency of moral psychology as underlying attitudes. And also, moral norm is added to TRA to moderate the effect of the attitudes on the outcome variable. The empirical results indicate a direct and indirect role of the morality-related variables in explaining users’ AI adoption intentions. It was learned that moral psychology plays an important role in explaining user attitudes toward AI and subsequent intentions of adopting an AI system.
Text Summarization Framework Using Machine Learning

Automatic text summarization is an essential natural language processing application that goals to summarize a given textual content into a shorter model. The fast growth in media information transmission over the Internet demands text summarization using neural network from asynchronous combination of text. This paper represents a framework that utilizes the techniques of NLP technique to examine the elaborative information contained in multi-modal statistics and to enhance the aspects of text summarization. The basic concept is to bridge the semantic gaps among text content. After, the generated summary for important information through multimodal topic modeling. Finally, all the multi-modal factors are considered to generate a textual summary by maximizing the importance, non-redundancy, credibility and scope through the allocated accumulation of submodular features. The experimental result shows that Text Summarization framework outperforms other competitive techniques.
ANALY SIS OF MARKET INTEGRATION AND PRICE VARIATION IN RICE AND MAIZE MARKETING IN OSUN STATE, NIGERIA

The study examined market integration and price var iation in local rice and white maize marketing in Osun State, Nigeria. Specific issues a ddressed in this study include determination of existence of co-integration between the rural an d urban markets and the leading market between the rural and urban markets for the food gr ains. Secondary data were used for the study, which covered time series data on retail grain pric es spanning from 2000 – 2010, sourced from Osun State Agricultural Development Programme (OSSA DEP). Coefficient of variation and price correlation coefficient were used to examine th behavior of local rice and white maize market price in urban and rural areas. The Augment ed Dickey-Fuller (ADF) test was used to investigate stationarity in the pairs of prices whi le the Johansen co-integration technique, with its associated Vector Error Correction Model (VECM), wa s used to determine the existence of cointegration between the markets. Augmented Dicker F uller procedure (ADF) indicated that all the variables were not stationary at their level bu t stationary in first difference. Both the trace an d maximum eigen value statistics indicated the existe nce of co-integration relation at 5% significant level for the pair of product prices, i mplying that rice and maize markets during the study period were linked together and therefore the long-run equilibrium was stable. The results also indicated that urban rice and maize markets di d not granger-cause rural rice and maize market (P > 0.05), while rural rice and maize marke ts granger caused urban rice and maize
BlockFlow: Trust in Scientific Provenance Data

In scientific collaboration, the data sharing, the exchange of ideas and results is crucial to promote knowledge and accelerate the development of science. Trust is extremely important in this context as well as reproducibility. Although in scientific workflow the provenance has been the basis for reproducibility, in collaborative environments it is necessary to ensure integrity and trustworthiness of this provenance data. One of the technologies that have emerged and can help to address these issues is blockchain. A blockchain-based provenance system for collaborative scientific experiments could lead to a trustworthy environment for scientific experimentation. In this vein, this paper presents the specification of an architecture, named BlockFlow, that provides trust for distributed provenance data.
Houston 311: An Analysis of Citizen Satisfaction

Houston, like any other metropolitan area, has thousands of public issues that affect its economy and citizens each year. In 2001, a program named Houston 311 was developed to aid the city’s customer service. It allows Houston citizens to report non-emergency issues easily via telephone, email, smart phone app, or the 311 website. Most importantly, citizens have the ability to rate the manner in which their complaints were addressed and give feedback on the resolution process to hold the city accountable (1). In aiding this process, it becomes extremely important to identify what exactly the satisfaction rating data attempt to depict. What factors of the City’s efforts have been successful? What are the drivers of negative feedback? What are the drivers of positive feedback? And how can these factors help improve the efforts set forth in the city? In this paper, answers to these questions are outlined in detail, taking into account survey, geographical, and even census information to give as descriptive results as possible. Over the course of 2017, Houston 311 has received over 350,000 service requests, corresponding to more than 300 different types of services. Over the years, the service has received a greater number of responses among the citizens of Houston, increasing the value of the analysis of the survey data (2).
Biofilm models made from alginate-like exopolymers

It is widely understood that biofouling is an obstacle to water treatment processes, therefore, tailored cleaning strategies are needed to increase removal efficiency. This research inquired into the swelling behaviour at the equilibrium states of target biofilm models made from alginate-like exopolymers (ALE) in laboratory condition. At this moment the density of biofilm was introduced to profile its binding strength. At ALE biofilm model’s equilibrium state, the density will be illustrated by its swelling height over time, the amount of organic and inorganic materials within the biofilm model, and the cake-layer resistance. This research observed and suggested that 3mM calcium ion concentration within feed solution is the threshold to control ALE biofilm models’ density. Table of
The Influence of Electric Vehicle Charging on Low Voltage Grids with Characteristics Typical for Germany

The increasing number of electric vehicles poses new challenges to the power grid. Their charging process stresses the power system, as additional energy has to be supplied, especially during peak load periods. This additional load can result in critical network situations depending on various parameters. These impacts may vary based on market penetration, the energy demand, the plug-in time, the charging rate, and the grid topology and the associated operational equipment. Hence, the impact of electric vehicles (EVs) on the power grid was analysed for twelve typical German low voltage grids by applying power flow calculations. One main result was that thermal and voltage-related network overloads were highly dependent on market penetration and grid topology.
Traumatic Right Coronary Artery Dissection as a Cause of Inferior Wall ST-Elevation Myocardial Infarction

Blunt cardiac injury, causing coronary artery dissection in the absence of other forms of injury to the heart or lungs is a rare occurrence. Here we present a case of a 41-year-old male who presented with right coronary artery (RCA) dissection after blunt chest trauma. The patient initially presented with chest pain and was diagnosed with an inferior wall myocardial infarction (MI). He then developed a complete heart block and bedside echocardiogram showed right ventricular akinesis. Immediate coronary angiography showed RCA dissection, and TIMI 3 flow was established after the placement of four drug-eluting stents. Blunt trauma-induced RCA dissection is associated with high mortality which needs immediate treatment. Hence through this case report, we would like to stress the importance of having a high index of suspicion for this condition in patients with a blunt chest injury.
Beliefs about Internet: Methods of Elicitation and Measurement

In this study new methods are proposed to elicit and measure the components of a social representation. To elicit the representation field - the structure of the beliefs relative to the object – we applied the laddering technique, devised by Bagozzi and Edwards (1998) to measure cognitive schemas. The use of indices, proposed in network literature (see, e.g., Faust & Wasserman, 1992), allowed us to measure salient features of the cognitive structure (the level of Abstractness, Prestige and Centrality for the elements). We also proposed a method, based on factor analysis of the individual implication matrices, to define whether the representation is shared in the examined group. Finally, multiple regression was applied to test the dependence of attitude on the elements of the representation field. As an object of representation the use of Internet was considered.