Nanoscale interaction of RecG with mobile fork DNA

RecG DNA helicase is a guardian of the bacterial genome where it dominates stalled DNA replication fork rescue. The single-stranded DNA binding protein (SSB) is involved in this process and promotes the binding of RecG to stalled replication forks. Atomic force microscopy (AFM) was used to investigate the interaction of RecG and SSB on a mobile fork substrate capable of being regressed. In the absence of proteins, the fork undergoes spontaneous dynamics between two states, defined by the length of the DNA complementarity at the fork. The binding of SSB does not affect these dynamics as it binds to single-stranded regions as expected. In contrast, RecG interacts with the two states quite differently. We demonstrate that RecG has two modes of interaction with fork DNA in the presence of SSB and ATP. In the first mode, RecG translocates over the duplex region and this activity is defined by SSB-mediated remodeling of helicase. In the second mode, RecG utilizes its helicase activity to regress the fork, in an ATP-dependent manner, displacing SSB on the ssDNA. Overall, our results highlight two functions of RecG that can be employed in the regulation of stalled DNA replication fork rescue. This journal is © The Royal Society of Chemistry

SEKOLAH SEPAKBOLA USIA MUDA DI BANDA ACEH

Sepakbola merupakan olahraga yang sangat populer dan digemari di dunia, begitu juga di Indonesia. Tak heran jika hampir semua negara di dunia berlomba-lomba menggalang prestasi membanggakan di cabang olahraga ini. Indonesia belum mampu meraih prestasi yang membanggakan di cabang olahraga sepakbola, bahkan Indonesia sulit bersaing di kancah Internasional. Klub-klub sepakbola Aceh juga tidak dapat berbuat banyak di kompetisi internal, sedangkan Aceh merupakan salah satu provinsi yang banyak memunculkan pemain muda berbakat.Kualitas persepakbolaan di Indonesia yang rendah dan minim prestasi ini dikarenakan kurang pembinaan dan pelatihan pemain mulai dari usia dini untuk didik menjadi pemain profesional. Sarana pelatihan yang ada di Indonesia belum serius ke arah profesional seperti akademi sepakbola di Eropa. Di negara-negara maju dalam sepakbola, prestasi tim nasional pada umumnya dilatarbelakangi oleh sistem dan proses pembinaan klub yang sudah mapan.Sekolah sepakbola usia muda di Banda Aceh merupakan sebuah sarana pelatihan dan pembinaan sepakbola pemain usia dini di Banda Aceh. Pemain tersebut akan dididik, dilatih dan dibina sejak dini sebagai usaha pembibitan pemain sepakbola Aceh yang potensial. Sekolah sepakbola ini berlokasi di Lhong Raya, sesuai dengan rencana pengembangan kawasan pusat olahraga di Banda Aceh. Dengan mengusung tema arsitektur metafora, diharapkan bangunan sekolah sepakbola ini dapat menjadi objek arsitektur yang melekat di masyarakat.Tahap awal dalam proses perancangan Sekolah Sepakbola Usia Muda di Banda Aceh ini adalah studi literatur data dan studi banding. Selanjutnya permasalahan yang ada diidentifikasi dan dianalisis sesuai dengan batasan perancangan. Dalam lingkup batasan tema arsitektur metafora dan kondisi iklim setempat selanjutnya melahirkan konsep perancangan sesuai dengan hasil analisis.Kata kunci: olahraga, sekolah, sepakbolaBanda Ace

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Automated Machine Learning (AutoML) techniques have recently been introduced to design Collaborative Filtering (CF) models in a data-specific manner. However, existing works either search architectures or hyperparameters while ignoring the fact they are intrinsically related and should be considered together. This motivates us to consider a joint hyperparameter and architecture search method to design CF models. However, this is not easy because of the large search space and high evaluation cost. To solve these challenges, we reduce the space by screening out usefulness yperparameter choices through a comprehensive understanding of individual hyperparameters. Next, we propose a two-stage search algorithm to find proper configurations from the reduced space. In the first stage, we leverage knowledge from subsampled datasets to reduce evaluation costs; in the second stage, we efficiently fine-tune top candidate models on the whole dataset. Extensive experiments on real-world datasets show better performance can be achieved compared with both hand-designed and previous searched models. Besides, ablation and case studies demonstrate the effectiveness of our search framework.Comment: Accepted by KDD 202