Plastic (wire-combed) grooving of a slip-formed concrete runway overlay at Patrick Henry Airport: An initial evaluation

A wire-comb technique is described for transversely grooving the surface of a freshly laid (plastic state) slip-formed concrete overlay installed at Patrick Henry Airport. This method of surface texturing yields better water drainage and pavement skid resistance than that obtained with an older conventional burlap drag concrete surface treatment installed on an adjacent portion of the runway

Dynamic Matrix Factorization with Priors on Unknown Values

Advanced and effective collaborative filtering methods based on explicit feedback assume that unknown ratings do not follow the same model as the observed ones (\emph{not missing at random}). In this work, we build on this assumption, and introduce a novel dynamic matrix factorization framework that allows to set an explicit prior on unknown values. When new ratings, users, or items enter the system, we can update the factorization in time independent of the size of data (number of users, items and ratings). Hence, we can quickly recommend items even to very recent users. We test our methods on three large datasets, including two very sparse ones, in static and dynamic conditions. In each case, we outrank state-of-the-art matrix factorization methods that do not use a prior on unknown ratings.Comment: in the Proceedings of 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 201

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

This paper contributes improvements on both the effectiveness and efficiency of Matrix Factorization (MF) methods for implicit feedback. We highlight two critical issues of existing works. First, due to the large space of unobserved feedback, most existing works resort to assign a uniform weight to the missing data to reduce computational complexity. However, such a uniform assumption is invalid in real-world settings. Second, most methods are also designed in an offline setting and fail to keep up with the dynamic nature of online data. We address the above two issues in learning MF models from implicit feedback. We first propose to weight the missing data based on item popularity, which is more effective and flexible than the uniform-weight assumption. However, such a non-uniform weighting poses efficiency challenge in learning the model. To address this, we specifically design a new learning algorithm based on the element-wise Alternating Least Squares (eALS) technique, for efficiently optimizing a MF model with variably-weighted missing data. We exploit this efficiency to then seamlessly devise an incremental update strategy that instantly refreshes a MF model given new feedback. Through comprehensive experiments on two public datasets in both offline and online protocols, we show that our eALS method consistently outperforms state-of-the-art implicit MF methods. Our implementation is available at https://github.com/hexiangnan/sigir16-eals.Comment: 10 pages, 8 figure

Konflik Peran dan Ambiguitas Peran terhadap Kinerja Karyawan pada PT. Bank Tabungan Pensiunan Nasional (Btpn) Tbk. Cabang Manado

Seiring dengan perkembangan teknologi yang begitu pesat, menyebabkan bertambahnya beban kerja karyawan untuk dapat bekerja lebih maksimal dan mampu menyelesaikannya dengan batas waktu yang telah ditentukan Perusahaan kepadanya. Beban kerja yang berlebih tersebut menyebabkan benturan-benturan atau tekanan-tekanan yang terjadi pada dirinya yang dapat menimbulkan stress bagi karyawan. Para karyawan dituntut untuk berperan dalam segala posisi yang ada di dalam Perusahaan. Sementara kemampuan dan keahlian karyawan terbatas, mengingat bahwa mereka diterima sesuai dengan posisi yang mereka pilih. Penelitian ini bertujuan untuk mengetahui pengaruh Konflik Peran dan ambiguitas peran terhadap kinerja karyawan pada PT. Bank Tabungan Pensiunan Nasional Tbk Cabang Manado. Metode yang digunakan adalah metode survey. Populasi penelitian ini adalah seluruh karyawan yang ada di PT. BTPN Tbk Cabang Manado. Sampel yang digunakan adalah 76. Hasil secara simultan variabel konflik peran dan ambiguitas peran berpengaruh terhadap kinerja karyawan, sedangkan secara parsial juga berpengaruh signifikan terhadap kinerja karyawan. Hendaknya Pimpinan PT. BTPN cabang Manado lebih banyak memperhatikan faktor konflik peran dan ambiguitas peran yang terjadi pada Karyawan karena peningkatan kinerja karyawan PT .BTPN cabang Manado akan sulit dicapai apabila kedua faktor ini diabaikan

Kesulitan Koneksi Matematis Siswa dalam Penyelesaian Soal pada Materi Lingkaran di SMP

: This research is titled "connection difficulties in students mathematical problem-solving on a circle in the SMP material". The purpose of this research is to examine difficulties or give a description of the mathematical connections and the factors that cause difficulties in the completion of students mathematical connections about the material in class VIII circle SMP Negeri 2 Sungai Raya. This research uses a descriptive case study form. Subjects were six (6) A person eighth grade students of SMP Negeri 2 Sungai Raya who have difficulty in solving the circle material. The result analysis of data show that the 6 (six) students who studied mathematical connection trouble caused by: (1) low ability of ability representation, (2) low ability of reasoning ability, (3) low ability of problem solving abilities, (4) low ability of launch procedures; (5) low ability of conceptual understanding, and (6) weak memor

Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines

The dearth of prescribing guidelines for physicians is one key driver of the current opioid epidemic in the United States. In this work, we analyze medical and pharmaceutical claims data to draw insights on characteristics of patients who are more prone to adverse outcomes after an initial synthetic opioid prescription. Toward this end, we propose a generative model that allows discovery from observational data of subgroups that demonstrate an enhanced or diminished causal effect due to treatment. Our approach models these sub-populations as a mixture distribution, using sparsity to enhance interpretability, while jointly learning nonlinear predictors of the potential outcomes to better adjust for confounding. The approach leads to human-interpretable insights on discovered subgroups, improving the practical utility for decision suppor

Response of Shallots of Batu Ijo Variety on Doses of N And K Fertilizers

Shallots (Allium cepa var. Aggregatum L) have many varieties that can be grown in the highlands and lowlands and one of them is the Batu Ijo variety. Nutrients N and K play an important role for plant needs. This research was conducted from March to June 2019 in Medan Baru, Bengkulu City. This study used a completely randomized design with two factors. The first factor was the dose of N fertilizer and the second factor was the application of K fertilizer. The application of N fertilizer had a significant effect on the number of shallots at week 2. The Urea dose given decreases the number of spring onions. For the best treatment at plant height is the treatment of Urea 300 kg/ha and KCl 50 kg/ha. Plant growth from week 2 to 5 increased significantly. The application of K fertilizer has an effect on the number of shallots at week 2 and the number of tubers. The higher the plant age, the more the number of leaves produced, but at higher doses, the number of leaves and the number of tubers decreased. The best treatment for the number of leaves produced was Urea 300 kg/ha and without giving KCl. For the best treatment of fresh plant weight, namely Urea 300 kg/ha and KCl 150 kg/ha, the best treatment fresh tuber weight was Urea 300 kg/ha and KCl 150 kg/ha, for tuber diameter the best treatment was 200 kg/ha of urea and KCl 100 kg/ha and for the number of tubers of Urea 0 kg/ha and KCl 150 kg/ha.Keywords: shallots, N fertilizer, K fertilize

Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?

Correlations in the signal observed via functional Magnetic Resonance Imaging (fMRI), are expected to reveal the interactions in the underlying neural populations through hemodynamic response. In particular, they highlight distributed set of mutually correlated regions that correspond to brain networks related to different cognitive functions. Yet graph-theoretical studies of neural connections give a different picture: that of a highly integrated system with small-world properties: local clustering but with short pathways across the complete structure. We examine the conditional independence properties of the fMRI signal, i.e. its Markov structure, to find realistic assumptions on the connectivity structure that are required to explain the observed functional connectivity. In particular we seek a decomposition of the Markov structure into segregated functional networks using decomposable graphs: a set of strongly-connected and partially overlapping cliques. We introduce a new method to efficiently extract such cliques on a large, strongly-connected graph. We compare methods learning different graph structures from functional connectivity by testing the goodness of fit of the model they learn on new data. We find that summarizing the structure as strongly-connected networks can give a good description only for very large and overlapping networks. These results highlight that Markov models are good tools to identify the structure of brain connectivity from fMRI signals, but for this purpose they must reflect the small-world properties of the underlying neural systems

PENGARUH TERAPI RENDAM KAKI AIR HANGAT JAHE TERHADAP PENURUNAN TEKANAN DARAH PADA PASIEN HIPERTENSI DI PUSKESMAS LIMBOTO

Hipertensi atau tekanan darah tinggi adalah masalah kesehatan yang banyak ditemukan di masyarakat. Tujuan penelitiian untuk mengetahui apakah ada pengaruh terapi rendam kaki air hangat jahe terhadap penurunan tekanan darah pada pasien hipertensi. Metode penelitian kuantitatif menggunakan Quasi eskperimental pre-post test. Teknik pengambilan sampel purposive sampling. Sampel penelitian ini adalah 30 responden terbagi atas 2 kelompok yaitu intervensi dan kelompok kontrol. Hasil penelitian menunjukkan rata-rata tekanan darah sebelum pada kelompok intervensi sistolik 154.67 mmHg, diastolik 96.67 mmHg, dan sesudah rata-rata tekanan darah sistolik 124.67 mmHg dan diastolik 82.00 mmHg, sedangkan rata-rata tekanan darah pada kelompok kontrol sistolik 143.33 mmHg, diastolik 98.00 mmHg dan sesudah sistolik 140.00 mmHg, diastolik 96.00 mmHg. Hasil uji statistik di dapatkan bahwa nilai p pada kelompok intervensi yaitu 0,000 (<0,05), sedangkan pada pada kelompok kontrol nilai p yaitu 0.096 (>0.05) terdapat pengaruh yang signifikan penurunan tekanan darah pada kelompok intervensi. Dapat disimpulkan bahwa air hangat jahe mengandung minyak atsiri dan dapat menstimulus sirkulasi darah, terdapat senyawa gingerol yang berfungsi untuk memperlebar pembuluh darah dan melancarkan peredaran darah juga merangsang saraf yang ada pada kaki untuk mengaktifkan syaraf parasimpatis, sehingga menyebabkan perubahan pada tekanan darah. Sehingga diharapkan terapi rendam kaki air hangat jahe dilakukan pasien hipertensi sehingga terjadi penurunan tekanan darah.   &nbsp

Priming by Chemokines Restricts Lateral Mobility of the Adhesion Receptor LFA-1 and Restores Adhesion to ICAM-1 Nano-Aggregates on Human Mature Dendritic Cells

LFA-1 is a leukocyte specific β2 integrin that plays a major role in regulating adhesion and migration of different immune cells. Recent data suggest that LFA-1 on mature dendritic cells (mDCs) may function as a chemokine-inducible anchor during homing of DCs through the afferent lymphatics into the lymph nodes, by transiently switching its molecular conformational state. However, the role of LFA-1 mobility in this process is not yet known, despite that the importance of lateral organization and dynamics for LFA-1-mediated adhesion regulation is broadly recognized. Using single particle tracking approaches we here show that LFA-1 exhibits higher mobility on resting mDCs compared to monocytes. Lymphoid chemokine CCL21 stimulation of the LFA-1 high affinity state on mDCs, led to a significant reduction of mobility and an increase on the fraction of stationary receptors, consistent with re-activation of the receptor. Addition of soluble monomeric ICAM-1 in the presence of CCL21 did not alter the diffusion profile of LFA-1 while soluble ICAM-1 nano-aggregates in the presence of CCL21 further reduced LFA-1 mobility and readily bound to the receptor. Overall, our results emphasize the importance of LFA-1 lateral mobility across the membrane on the regulation of integrin activation and its function as adhesion receptor. Importantly, our data show that chemokines alone are not sufficient to trigger the high affinity state of the integrin based on the strict definition that affinity refers to the adhesion capacity of a single receptor to its ligand in solution. Instead our data indicate that nanoclustering of the receptor, induced by multi-ligand binding, is required to maintain stable cell adhesion once LFA-1 high affinity state is transiently triggered by inside-out signals.Peer ReviewedPostprint (published version