Results 191 to 200 of about 39,687 (251)

Gender disparities in random blood glucose levels among Pakistani adults with type 2 diabetes: a cross-sectional analysis. [PDF]

Sci Rep
Khan R, Rashid S, Khan S, Pari B.
europepmc   +1 more source

Carcinoembryonic Antigen Messenger RNA in Pelvic Lavage Fluid Predicts Local Recurrence After Curative‐Intent Resection of Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
Pelvic lavage carcinoembryonic antigen (CEA) mRNA was quantified in 178 patients undergoing curative‐intent resection for rectal cancer. Positive pelvic lavage CEA mRNA was significantly associated with local recurrence and provided additional prognostic information beyond circumferential resection margin (CRM) status.
Hiroyuki Asai, Yushi Yamakawa, Kazuyoshi Shiga, Shuhei Uehara, Akira Kato, Takuya Suzuki, Hajime Ushigome, Hiroki Takahashi, Yoichi Matsuo, Shuji Takiguchi   +9 more
wiley   +1 more source

Spatial and genetic constraints govern transcription-translation coupling and mRNA degradation in bacteria. [PDF]

Nat Microbiol
Kim S, Zhang Y, Ju X, Hassan A, Wang YH, Liu S, Kim S.   +6 more
europepmc   +1 more source

Interaction Between Operator and Assistant Certification Is Associated With Local Recurrence After Laparoscopic Rectal Cancer Surgery: An Ancillary Analysis of the EnSSURE Study

Annals of Gastroenterological Surgery, EarlyView.
A significant synergistic interaction between operator and assistant certification was associated with a lower risk of local recurrence after laparoscopic rectal cancer surgery. Patients treated by both ESSQS‐qualified operators and assistants had the lowest risk of local recurrence, whereas a single qualification alone was not associated with a ...
Yusuke Sakimura, Hiroyuki Bando, Koya Hida, Tatsunari Fukuoka, Tohru Funakoshi, Fuminori Teraishi, Kay Uehara, Yuji Inoue, Nobuaki Suzuki, Nobuki Ichikawa, Hiroaki Iijima, Akinobu Taketomi, Yoshiharu Sakai, Takeshi Naitoh, Ichiro Takemasa, the EnSSURE study group collaboratives within the Japan Society of Laparoscopic Colorectal Surgery, Akinobu Furutani, Akiyoshi Kanazawa, Akiyoshi Noda, Atsushi Ishibe, Chikayoshi Tani, Daisuke Yamamoto, Fumihiko Fujita, Fumio Ishida, Fumitaka Asahara, Heita Ozawa, Hideaki Karasawa, Hideki Osawa, Hiroaki Nagano, Hiroaki Takeshita, Hirofumi Ota, Hirokazu Suwa, Hiroki Ochiai, Hiroomi Ogawa, Hiroshi Saeki, Hirotoshi Hasegawa, Hisanaga Horie, Hisashi Nagahara, Jun Watanabe, Kaori Hayashibara, Kazuhiro Takehara, Ken Kojo, Ken Okamoto, Kenichiro Saito, Koji Ikeda, Koji Munakata, Koki Otsuka, Koki Goto, Kunihiko Nagakari, Mamoru Uemura, Manabu Shimomura, Manabu Shiozawa, Manabu Takata, Manabu Yamamoto, Masaaki Ito, Masafumi Inomata, Masahiko Watanabe, Masakatsu Numata, Masashi Miguchi, Masatsune Shibutani, Mayumi Ozawa, Mitsuhisa Takatsuki, Naoya Aisu, Naruhiko Sawada, Ryo Ikeshima, Ryo Inada, Ryuichi Oshima, Satoshi Maruyama, Shigehiro Kojima, Shigeki Yamaguchi, Shigenori Homma, Shiki Fujino, Shinichiro Mori, Shinobu Ohnuma, Sho Takeda, Shota Aoyama, Shuji Saito, Shunpei Mukai, Shusaku Takahashi, Takahiro Sasaki, Takahiro Yamanashi, Takeru Matsuda, Takuya Miura, Tatsunori Ono, Tatsuya Kinjo, Tatsuya Shonaka, Teni Godai, Tomohiro Adachi, Tomohiro Yamaguchi, Tomohisa Furuhata, Tomonori Akagi, Toshimoto Kimura, Toshisada Aiba, Toshiya Nagasaki, Toshiyoshi Fujiwara, Tsukasa Shimamura, Tsunekazu Mizushima, Yasuhito Iseki, Yasuo Sumi, Yasushi Rino, Yasuyuki Kamada, Yohei Kurose, Yoshiaki Kita, Yoshihiro Kakeji, Yoshihiro Takashima, Yoshihito Ide, Yoshinori Munemoto, Yoshito Akagi, Yoshiyuki Ishii, Yuki Kiyozumi, Yukihito Kokuba, Yukitoshi Todate, Yusuke Sakimura, Yusuke Shimodaira, Yusuke Suwa   +114 more
wiley   +1 more source

Clustering characteristics of upper gastrointestinal cancer risk behaviours and their association with social determinants of health: a latent class analysis. [PDF]

Sci Rep
Feng X, Zhu J, Dai C, Hua Z, Luo P, Tong H.   +5 more
europepmc   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source

Cascading recombinase memory switch for programmable and stable gene expression in Pseudomonas putida. [PDF]

Nucleic Acids Res
Hernández-Sancho JM, Volke DC, Nikel PI.   +2 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source