Miracle-dz/UniFAR-FTUs huggingface dataset:
Near real-time twitter spam detection with machine learning techniques

ABSTRACT The popularity of social media networks, such as Twitter, leads to an increasing number of spamming activities. Researchers employed various machine learning methods to detect Twitter spam. However, majorities of existing researches are limited to theoretically study, few of them can apply detection techniques to real-time scenario. In this paper, we bridge the gap by proposing a near real-time Twitter spam detection system, which provides near real-time tweets data acquisition, light-weight features extraction from a specific Twitter account, training detection model, and online visualizing detection results. In this system, account-based and content-based features are extracted to facilitate spam detection. The models that are applied to our Twitter spam detection system are trained based on 1.5 million public tweets and nine mainstream algorithms. In addition, in order to efficiently reduce training time spent on massive data and save the cost of model updating, a parallel computing technique is introduced to train and update the models in this system. Empirical results verify that the model can achieve satisfactory performance based on our datasets. Furthermore, we implement a near real-time Twitter spam detection system which can better protect users from combating spams. This system also acts as a tweets collection tool, allowing researchers to test the performance of trained classifiers in realistic scenarios.
Sistem Informasi Penjualan Mebeul CV Mandiri Furniture Berbasis Java

Permasalahan dari sistem penjualan mebeul di CV Mandiri Furniture yaitu lambatnya pencarian pendataan barang, data customer, serta proses laporan stok barang dan proses penjualan yang diakibatkan karena sistem yang diterapkan masih bersifat manual dan belum terkomputerisasi. Seiring dengan semakin canggihnya teknologi yang berkembang, komputer telah mendorong terjadinya perubahan ilmu, baik dalam kajian ataupun implementasi dilapangan. Peran teknologi komputer sangat diperlukan oleh berbagai perusahaan. Mengingat kebutuhan akan peningkatan efisiensi dan efektifitas dari setiap kegiatan dalam instansi tidak dapat diukur dan dilakukan secara cepat dan akurat tanpa adanya dukungan teknologi tersebut. Akurasi data, kecepatan waktu dan relevansi menjadi penentu kualitas informasi yang dihasilkan. Tujuan dari sistem ini untuk mempercepat dalam pencarian data barang, data customer, serta proses laporan stok barang dan laporan penjualan. Dengan menggunakan metode pengembangan sistem yaitu Waterfall dalam penelitian ini adalah dengan tahapan-tahapan seperti rekayasa sistem, analisis, desain, coding, testing, dan maintenance. Hasil dari penelitian ini adalah menciptakan aplikasi untuk penjualan mebel yang efektif dan efisien.Kata Kunci: Sistem informasi, Penjualan, Mebel, Java
Long-Term Adherence and Maintenance of Benefits in Pulmonary Rehabilitation

Pulmonary rehabilitation (PR) is a comprehensive intervention in chronic lung diseases, including personalized special therapies, exercise training, education and behavioral changes to improve the physical and psychological status of the patients, and aims to promote behavior that helps improve health status in the long term. A personalized PR program administered by a multidisciplinary team is recently considered a standard and complementary treatment method in chronic lung diseases. After the PR program, dyspnea of COPD patients decreases and their exercise capacities increase. Their daily life activities and physical activities increase. Their functional dependence decreases and quality of life increases. It presents a perfect opportunity to provide self-management and independence for the patients and improve their quality of life. Studies have shown that, unless there is a structured maintenance program, after an average of 6–12 months following PR programs, the gains that are realized start to decrease. Decrease of gains due to causes like a decrease in compliance to exercises, disease progress, attacks and co-morbidities. Causes such as decreased compliance to exercise, progression of the disease, attacks and comorbidities play a role in reducing gains. Especially in advanced age and in the presence of severe disease, the gain in exercise tolerance is lost more rapidly. The methods used and the results obtained to ensure the continuation of the gains differ.
Experimental and Estimation Studies of Resilient Modulus of Marine Coral Sand under Cyclic Loading

Coral sand is an important filler resource that can solve the shortage of terrestrial fillers in coastal areas. Recently, the foundations of many infrastructures in the South China Sea have been built with coral sand as fillers, which have been subjected to wave and traffic cyclic loads. Resilient modulus (Mr) is an important design parameter in marine engineering, but there are few studies on the resilient modulus response of coral sand under cyclic loading. A series of drained cyclic triaxial tests were carried out to investigate the effects of the initial mean effective stress (p0) and cyclic stress ratio (ζ) on the resilient modulus response of the coral sand from the South China Sea. The change of fractal dimension (αc) can reflect the rule of particle breakage evolution. The αc of coral sand shows a tendency of almost maintaining stable and then increasing rapidly with the increase of mean effective stress p0 under each cyclic stress ratio ζ. There is a threshold of p0, when the p0 exceeds this threshold, αc will increase significantly with the increase of p0. The increase of p0 has a beneficial effect on the improvement of the Mr, while the increase of ζ has both beneficial and detrimental effects on the improvement of the Mr. A new prediction model of the Mr considering particle breakage was established, which can better predict the Mr of coral sand in the whole stress interval. The research results can provide guidance for the design of marine transportation infrastructures, which can promote the development of marine transportation industry and energy utilization.
Assessment of Thermal Comfort in the Intelligent Buildings in View of Providing High Quality Indoor Environment

The paper analyses the indoor environment in two modern intelligent buildings located in Poland. Measurements of air and globe temperatures, relative humidity and carbon dioxide concentration in 117 rooms carried out in the space of 1.5 years were presented. Thermal comfort of the occupants has been investigated using a questionnaire survey. Based on 1369 questionnaires, thermal sensation, acceptability and preference votes were analysed in view of their interdependency as well as their dependency on operative temperature, which proved to be very strong. It has been found that the respondents did not completely rate thermal comfort and indoor environment quality as very high, although the overwhelming sensations were positive. Apart from the operation of heating, ventilation and air conditioning (HVAC) systems, this might have also been the cause of individual human factors, such as body mass index, as tested in the study, or the finding that people were generally in favour of a warmer environment. Moreover, thermal environment proved to be the most important element for ensuring the well-being of the occupants.
Ovary maturation stages and oocyte features in three species of the neotropical fish Hemiodus (Müller, 1842)

Macro- and microscopic ovarian features of Hemiodus microlepis, H. ternetzi and H. unimaculatus were analyzed. Based on these features we proposed an ovarian maturation scale. The nine stages of the preliminary macroscopic fieldwork scale were reduced to five after microscopic analysis of ovaries. The microscopic analysis indicated a group-synchronous oocyte development common to the three species that were characterized as iteroparous synchronous spawners with a total spawning type. The remarkable thickness of the zona radiata layer and the large size of vitellogenic oocytes of Hemiodus ternetzi distinguished this species from the others.
APPARENT AVAILABILITIES OF AMINO ACIDS IN CORN. WHEAT AND BARLEY FOR GROWING PIGS

The apparent ileal and fecal recoveries of amino acids in corn, wheat and barley were determined with barrows ranging in weight from 50 to 70 kg that were fitted with ileocecal re-entrant cannulas. Average ileal availabilities were 4–7% less than average fecal availabilities in the three cereal grains. Of the indispensable amino acids in the cereal grains, the recoveries of lysine and threonine were approximately equal in being the lowest at the end of the ileum, and they decreased from those in corn, to wheat and to those in barley. The recovery of lysine was the lowest in all cereal grains when determined by the fecal analysis method. The apparent fecal recoveries of amino acids in the cereal grains obtained from cannulated pigs were essentially similar to those obtained from non-cannulated pigs. Apparent ileal and fecal recoveries of amino acids in finely ground and cracked wheat were determined with eight barrows that weighed approximately 75 kg. The ileal recoveries of most amino acids were significa.
Software in the field of information and analytical support for territorial management: a methodological approach to assessment

The article considers the approach to software evaluation, which is used for information and analytical support of the territorial administration. It is proposed to use a computational procedure based on determining the correspondence of the functional completeness particular alternative to a reference sample. A set of parameters has been formed that needs to be taken into account to select a specific information technology solution for the intended purpose. The proposed tools can be adapted to compare software systems for other purposes.
Rumen degradation characteristics of ryegrass herbage and ryegrass silage are affected by interactions between stage of maturity and nitrogen fertilisation rate

The objective of this experiment was to evaluate interaction effects between stage of maturity and nitrogen (N) fertilisation rate on rumen degradation characteristics determined with nylon bag incubations of ryegrass herbages and ryegrass silage. Grass herbage (n = 4) was cut after 3 or 5 weeks of regrowth and received a low (20 kg N/ha) or a high (90 kg N/ha) fertilisation rate. Grass silage (n = 6) received a low (65 kg N/ha) or high (150 kg N/ha) fertilisation rate and was harvested at early (~2000 kg DM/ha), mid (harvested 13 days later), or late (harvested 34 days later) maturity stage and ensiled in big bales. All grasses were incubated in the rumen of three lactating rumen-cannulated Holstein Friesian cows. Rumen degradation characteristics of organic matter (OM), N and neutral detergent fibre (NDF) and the extent of effective degradation (ED) were evaluated. In grass herbage, NDF content varied between 390 and 454 g/kg DM and N content between 12.1 and 25.8 g/kg DM. In grass silage, NDF content varied between 438 and 593 g/kg DM and N content between 13.4 and 34.8 g/kg DM. In general, rumen degradation of grass herbage and grass silage decreased with increased maturity, and increased with increased fertilisation rate. Significant interaction between maturity and fertilisation rate was observed for ED of OM, N and NDF, except for ED of N in grass herbage. These results indicate that the effect of the rate of N fertilisation on degradation of nutrients in the rumen of dairy cattle and on nutritional value depends on the grass maturity stage.
Exploring lake ecosystems: hierarchy responses to long‐term change?

Shifts in climate regime have provoked substantial trophic‐ and species‐dependent changes within ecosystems. With growing concerns of present global warming, we examined potential lake ecosystem responses, natural hierarchy responses (i.e. immediate responses at lower system levels as opposed to delayed responses at higher system levels), and possible shifts among abiotic (physics, nutrients) and biotic (phytoplankton, zooplankton) system components. Specifically, we analyzed decadal data collected from Müggelsee, a lake in Berlin, Germany, for climate‐induced abiotic and biotic changes, their timing and type, and classified them as abrupt permanent, gradual permanent, abrupt temporary, or monotonic. We further categorized variable changes as a function of system hierarchy, including lake physics (ice, temperature, stratification), nutrients (phosphorus, nitrogen, silicate), plankton, and levels of integration (i.e. species, taxonomic groups, and total plankton). Contrary to current theory, data suggest abrupt responses did not occur in a hierarchy‐dependent manner, nor was a clear pattern observed among functional system‐based categories. Abrupt permanent changes were the most prominent response pattern observed, suggesting they may be driven by large‐scale climatic oscillations and by surpassed thresholds, as noted in previous case studies. Gradual changes coincided with affected abiotic parameters spanning an expansive time range; for example, climatic effects in spring preceded changes in nutrient limitation. Variables displaying no long‐term changes pointed to compensation processes caused by, e.g., simultaneously acting forces of warming trends and climate‐independent changes in trophic state. Nevertheless, the complexity of response patterns at the single system level manifested clear chronological regime shifts in abiotic and biotic parameters in spring and, to a lesser extent, in summer. With regard to projected global warming, the majority of currently unaffected system levels may face impending thermal thresholds, achievement of which would result in an accelerated shift in ecosystem state.
Global and local evolutionary and ecological distinctiveness of terrestrial mammals: identifying priorities across scales

Species' ecological traits and evolutionary relatedness have gained attention in the scientific community for their important roles in the functioning and stability of ecosystems. However, conservation science is in urgent need of methods that integrate both ecological and evolutionary components of biodiversity into conservation strategies for threatened species. Here, we propose an approach to identify and locate ‘ecologically and evolutionarily distinct and globally endangered’ species (EcoEDGE) at broad and fine geographical scales.
Social Capital’s Impact on College Graduation Rates, Debt, and Student Loan Defaults

This study extends the literature on education economics and student retention by examining social capital as a predictor of college graduation rates, student debt levels, and student loan default rates. Coleman’s social capital theory is employed to understand how social influences can impact students through external social support (i.e., social capital). The study uses school-level data from the U.S. Department of Education’s Integrated Postsecondary Education Data System and two social capital measures. Results suggest that social capital, at both the state and the community level, significantly influences graduation rates, student debt levels, and loan default rates. Implications for theory and practice are discussed.
Zno SEM Image Segmentation Based on Deep Learning

The radius of nanomaterials, which will affect the specific surface area of the nanowires and other functions, is important for the optoelectronic application of nanomaterials. The Scanning Electron Microscopy (SEM) is an effective method to observe the spatial morphology of nanowires. However, the current measurement of topographical features mainly uses manual methods, which will bring about instability errors, especially when measuring a large number of them. Deep learning provides an efficient, fast way to identify and segment nanowire SEM images. Through deep learning methods, the spatial characteristics of nanomaterials can be measured quickly, which aim to explain the relationship between features and radio and television applications from a statistical point of view. In this paper, we design a deep learning image recognition system to measure the radius.
A decentralized model predictive traffic signal control method with fixed phase sequence for urban networks

Abstract Traffic congestion has become a significant issue in urban road networks. There have been massive works about traffic signal optimization to improve the efficiency of traffic flow operation, and the so-called back-pressure control policy has proven to be excellent for oversaturated conditions. Most of the existing works with back-pressure are based on an adaptive phase sequence, and research with cyclic phase sequence is based on calculating the splits for different phases using the traffic flow data at the beginning of each cycle, which is unfair for the non-initial phases. In this paper, we propose a decentralized model predictive signal control method with fixed phase sequence using back-pressure policy. The main idea of the new method is to form a control loop using the model predictive control, enabling the system to obtain real-time feedback from the traffic network and dynamically adjusting signal timing plans at the beginning of each phase. As links within a certain area have various lengths, the same queue length can imply different traffic conditions, so a method to normalize queue lengths is proposed. The normalized queue length decreases drastically when the actual length approaches link capacity, thus avoiding spillover. The proposed method was tested in a virtual road network. Numerical results suggest that the new method improves performance under congested conditions in terms of throughput, Gini coefficient and comprehensive transportation efficiency.
On the Economics of Mandatory Audit Partner Rotation and Tenure: Evidence from PCAOB Data

We analyze the effects of partner tenure and mandatory rotation on audit quality, pricing, and production for a large cross-section of U.S. public firms during 2008–2014. On average, we find no evidence that audit quality declines over the tenure cycle and little support for “fresh-look” benefits provided by the new audit partner. Audit fees decline and audit hours increase after mandatory rotation, but then reverse over the tenure cycle. We also find evidence that audit firms use “shadowing” in preparation for a lead partner turnover. These effects differ by competitiveness of the local audit market, client size, and partner experience. When multiple members of the audit team commence work at a new client, the transition appears to be more disruptive and more likely to exhibit audit quality effects. Our findings point to costly efforts by the audit firms to minimize disruptions and audit failures around mandatory rotations. JEL Classifications: J01; J44; L84; M21; M42.
Research on Hi-C data enhancement technology based on generative adversarial networks

Hi-C technology is one of the most popular tools for studying three-dimensional(3D) genome organization. Due to the high cost of sequencing, most Hi-C data have low resolution and cannot be used to connect distal regulatory elements to their target genes. To solve the problem that hi-c data of high resolution are not easy to obtain, this paper proposes a Hi-C enhancement method (HiCGAN) based on generative adversarial networks, Taking the down-sampling interaction matrix which is highly similar to the original matrix as input, only 1/16 of the original sequencing reading can be used to generate the Hi-C interaction matrix of high resolution. In the experiment, Pearson correlation coefficient was used to measure the similarity between the generated high-resolution matrix and the real high-resolution hi-c matrix in numerical distribution. the apparent interaction pairs were analyzed by Fit-Hi-C, and calling ChromHMM annotates state of 12 kinds of chromatin. Experimental results show that HiCGAN models learned in one cell type can predict high-resolution Hi-C matrices for other cell types. This study proposes a computational framework (HiCGAN) for accurately predicting Hi-C data improving the resolution of Hi-C data.
Growth density and regeneration of afforested mangroves at Mirersarai forest range in Bangladesh

The aim of the study was to determine growth performance of planted mangroves at three beats of Mirersarai forest range in the Chittagong coastal afforestation division, Bangladesh. This 22–29-year-old mangrove plantation showed satisfactory growth and regeneration with variations among different study sites. The study revealed that individual species density and overall density (stem/ha) in the study sites varied significantly (p ≤ 0.05) where density of Sonneratia apetala was maximum among five species followed by Excoecaria agallocha, Avicennia officinalis, Ceriops decandra and Bruguiera sexangula. Sonneratia apetala attained the highest mean diameter at breast height (DBH) (cm) and height (m) among all the plantation species. It was found dominant at the middle section plantations of three beats, whereas Bruguiera sexangula and Ceriops decandra were found absent at seaside plantation sites. Overall tree density was found to be highest at the middle part (1880 stem/ha) followed by inland (1610 stem/ha) and seaside (1087 stem/ha) plantations. Mean annual increment of height and of DBH were significantly higher for Sonneratia apetala (0.42 m/year, 0.81 cm/year) followed by Avicennia officinalis (0.32 m/year, 0.67 cm/year), Bruguiera sexangula (0.18 m/year, 0.40 cm/year), Excoecaria agallocha (0.16 m/year, 0.30 cm/year) and Ceriops decandra (0.05 m/year, 0.10 cm/year), respectively. Regeneration of vegetations showed promising performance in three beats. Sonneratia apetala showed rich regeneration at seaside plantations than inner parts in northern beats than those of southern beats. For all beats this species has an increased regeneration from inland to seaside plantation strips. Avicennia officinalis seedlings were found highest at the middle part of the plantation, whereas Excoecaria agallocha was found to be regenerated with high density at the inland part with a decreasing trend toward seaside strips. However, Bruguiera sexangula was found to be regenerated only at inland strips. Thus, this suggests that a coastal afforestation program with different species will show varied growth, regeneration and density at different situations according to species ecology and adaptability to the sites along the coast .
Testing the Validity of Greenwood and Tripp’s Sum Surface Assumption for Elastic-Plastic Contact

The complexity of modeling friction between rough surfaces has prompted many researchers to use Greenwood and Tripp’s sum surface assumption to simplify the analysis. This assumption approximates the contact between two rough surfaces as contact between their equivalent sum surface and a rigid plane. In this work, we develop detailed finite element models to test the sum surface assumption for surfaces with Gaussian and exponential autocorrelation functions. We consider surfaces with differing surface roughness and correlation length values. For each case, we conduct simulations of two rough surfaces interacting in compression followed by shear, and a corresponding equivalent surface model based on the sum surface assumption. Multiple realizations of each parameter combination are simulated to obtain a statistical picture of the responses. We find that (a) the sum surface assumption consistently under-predicts the static coefficient of friction and (b) the equivalent surface model is less accurate for surfaces with differing correlation length-to-surface roughness ratios.