TY  - JOUR
A1  - Jia, Weihan
A1  - Anslan, Sten
A1  - Chen, Fahu
A1  - Cao, Xianyong
A1  - Dong, Hailiang
A1  - Dulias, Katharina
A1  - Gu, Zhengquan
A1  - Heinecke, Liv
A1  - Jiang, Hongchen
A1  - Kruse, Stefan
A1  - Kang, Wengang
A1  - Li, Kai
A1  - Liu, Sisi
A1  - Liu, Xingqi
A1  - Liu, Ying
A1  - Ni, Jian
A1  - Schwalb, Antje
A1  - Stoof-Leichsenring, Kathleen R.
A1  - Shen, Wei
A1  - Tian, Fang
A1  - Wang, Jing
A1  - Wang, Yongbo
A1  - Wang, Yucheng
A1  - Xu, Hai
A1  - Yang, Xiaoyan
A1  - Zhang, Dongju
A1  - Herzschuh, Ulrike
T1  - Sedimentary ancient DNA reveals past ecosystem and biodiversity changes on the Tibetan Plateau: overview and prospects
JF  - Quaternary science reviews : the international multidisciplinary research and review journal
N2  - Alpine ecosystems on the Tibetan Plateau are being threatened by ongoing climate warming and intensified human activities. Ecological time-series obtained from sedimentary ancient DNA (sedaDNA) are essential for understanding past ecosystem and biodiversity dynamics on the Tibetan Plateau and their responses to climate change at a high taxonomic resolution. Hitherto only few but promising studies have been published on this topic. The potential and limitations of using sedaDNA on the Tibetan Plateau are not fully understood. Here, we (i) provide updated knowledge of and a brief introduction to the suitable archives, region-specific taphonomy, state-of-the-art methodologies, and research questions of sedaDNA on the Tibetan Plateau; (ii) review published and ongoing sedaDNA studies from the Tibetan Plateau; and (iii) give some recommendations for future sedaDNA study designs. Based on the current knowledge of taphonomy, we infer that deep glacial lakes with freshwater and high clay sediment input, such as those from the southern and southeastern Tibetan Plateau, may have a high potential for sedaDNA studies. Metabarcoding (for microorganisms and plants), metagenomics (for ecosystems), and hybridization capture (for prehistoric humans) are three primary sedaDNA approaches which have been successfully applied on the Tibetan Plateau, but their power is still limited by several technical issues, such as PCR bias and incompleteness of taxonomic reference databases. Setting up high-quality and open-access regional taxonomic reference databases for the Tibetan Plateau should be given priority in the future. To conclude, the archival, taphonomic, and methodological conditions of the Tibetan Plateau are favorable for performing sedaDNA studies. More research should be encouraged to address questions about long-term ecological dynamics at ecosystem scale and to bring the paleoecology of the Tibetan Plateau into a new era.
KW  - Sedimentary ancient DNA (sedaDNA)
KW  - Tibetan Plateau
KW  - Environmental DNA
KW  - Taphonomy
KW  - Ecosystem
KW  - Biodiversity
KW  - Paleoecology
KW  - Paleogeography
Y1  - 2022
U6  - https://doi.org/10.1016/j.quascirev.2022.107703
SN  - 0277-3791
SN  - 1873-457X
VL  - 293
PB  - Elsevier
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Xiang, Hai
A1  - Gao, Jianqiang
A1  - Cai, Dawei
A1  - Luo, Yunbing
A1  - Yu, Baoquan
A1  - Liu, Langqing
A1  - Liu, Ranran
A1  - Zhou, Hui
A1  - Chen, Xiaoyong
A1  - Dun, Weitao
A1  - Wang, Xi
A1  - Hofreiter, Michael
A1  - Zhao, Xingbo
T1  - Origin and dispersal of early domestic pigs in northern China
JF  - Scientific reports
N2  - It is widely accepted that modern pigs were domesticated independently at least twice, and Chinese native pigs are deemed as direct descendants of the first domesticated pigs in the corresponding domestication centers. By analyzing mitochondrial DNA sequences of an extensive sample set spanning 10,000 years, we find that the earliest pigs from the middle Yellow River region already carried the maternal lineages that are dominant in both younger archaeological populations and modern Chinese pigs. Our data set also supports early Neolithic pig utilization and a long-term in situ origin for northeastern Chinese pigs during 8,000-3,500 BP, suggesting a possibly independent domestication in northeast China. Additionally, we observe a genetic replacement in ancient northeast Chinese pigs since 3,500 BP. The results not only provide increasing evidence for pig origin in the middle Yellow River region but also depict an outline for the process of early pig domestication in northeast China.
Y1  - 2017
U6  - https://doi.org/10.1038/s41598-017-06056-8
SN  - 2045-2322
VL  - 7
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Liang, Feng
A1  - Liu, Yunzhen
A1  - Liu, Hai
A1  - Ma, Shilong
A1  - Schnor, Bettina
T1  - A Parallel Job Execution Time Estimation Approach Based on User Submission Patterns within Computational Grids
JF  - International journal of parallel programming
N2  - Scheduling performance in computational grid can potentially benefit a lot from accurate execution time estimation for parallel jobs. Most existing approaches for the parallel job execution time estimation, however, require ample past job traces and the explicit correlations between the job execution time and the outer layout parameters such as the consumed processor numbers, the user-estimated execution time and the job ID, which are hard to obtain or reveal. This paper presents and evaluates a novel execution time estimation approach for parallel jobs, the user-behavior clustering for execution time estimation, which can give more accurate execution time estimation for parallel jobs through exploring the job similarity and revealing the user submission patterns. Experiment results show that compared to the state-of-art algorithms, our approach can improve the accuracy of the job execution time estimation up to 5.6 %, meanwhile the time that our approach spends on calculation can be reduced up to 3.8 %.
KW  - User submission pattern
KW  - Parallel job execution time estimation
KW  - Computational grid
Y1  - 2015
U6  - https://doi.org/10.1007/s10766-013-0294-1
SN  - 0885-7458
SN  - 1573-7640
VL  - 43
IS  - 3
SP  - 440
EP  - 454
PB  - Springer
CY  - New York
ER  - 
TY  - JOUR
A1  - Xu, QingHai
A1  - Cao, Xianyong
A1  - Tian, Fang
A1  - Zhang, ShengRui
A1  - Li, YueCong
A1  - Li, ManYue
A1  - Li, Jie
A1  - Liu, YaoLiang
A1  - Liang, Jian
T1  - Relative pollen productivities of typical steppe species in northern China and their potential in past vegetation reconstruction
JF  - Science China
N2  - The Relative Pollen Productivities (RPPs) of common steppe species are estimated using Extended R-value (ERV) model based on pollen analysis and vegetation survey of 30 surface soil samples from typical steppe area of northern China. Artemisia, Chenopodiaceae, Poaceae, Cyperaceae, and Asteraceae are the dominant pollen types in pollen assemblages, reflecting the typical steppe communities well. The five dominant pollen types and six common types (Thalictrum, Iridaceae, Potentilla, Ephedra, Brassicaceae, and Ulmus) have strong wind transport abilities; the estimated Relevant Source Area of Pollen (RSAP) is ca. 1000 m when the sediment basin radius is set at 0.5 m. Ulmus, Artemisia, Brassicaceae, Chenopodiaceae, and Thalictrum have relative high RPPs; Poaceae, Cyperaceae, Potentilla, and Ephedra pollen have moderate RPPs; Asteraceae and Iridaceae have low RPPs. The reliability test of RPPs revealed that most of the RPPs are reliable in past vegetation reconstruction. However, the RPPs of Asteraceae and Iridaceae are obviously underestimated, and those of Poaceae, Chenopodiaceae, and Ephedra are either slightly underestimated or slightly overestimated, suggesting that those RPPs should be considered with caution. These RPPs were applied to estimating plant abundances for two fossil pollen spectra (from the Lake Bayanchagan and Lake Haoluku) covering the Holocene in typical steppe area, using the "Regional Estimates of Vegetation Abundance from Large Sites" (REVEALS) model. The RPPs-based vegetation reconstruction revealed that meadow-steppe dominated by Poaceae, Cyperaceae, and Artemisia plants flourished in this area before 6500-5600 cal yr BP, and then was replaced by present typical steppe.
KW  - typical steppe
KW  - modern surface pollen
KW  - relative pollen productivity
KW  - relevant pollen source area
KW  - paleovegetation
Y1  - 2014
U6  - https://doi.org/10.1007/s11430-013-4738-7
SN  - 1674-7313
SN  - 1869-1897
VL  - 57
IS  - 6
SP  - 1254
EP  - 1266
PB  - Science China Press
CY  - Beijing
ER  - 
TY  - JOUR
A1  - Sun, Sheng-Yun
A1  - Huang, Jin
A1  - Meng, Min-Jie
A1  - Lu, Jia-Hai
A1  - Hocher, Berthold
A1  - Liu, Kang-Li
A1  - Yang, Qin-He
A1  - Zhu, Xiao-Feng
T1  - Improvement of lipid profile and reduction of body weight by Shan He Jian Fei Granules in high fat diet-induced obese rats
JF  - Clinical laboratory : the peer reviewed journal for clinical laboratories and laboratories related to blood transfusion
N2  - Background: The goal was to study lipid profiles (TG, TC, LDL, HDL), effects on serum leptin, and fat tissue adiponectin, and resistin as well as body weight effects of Shan He Jian Fei Granules (SHJFG) in rats on a high fat diet.
 Methods: Rats were randomly divided into five groups: normal control group fed with normal fat diet, rats on high fat diet receiving low dosage, middle dosage, high dosage of Shan He Jian Fei Granules (SHJFG) as well as a high fat diet group receiving placebo. Rats were treated for 8 weeks. Body weight and naso-anal length of each rat were recorded and Lee's index was calculated. Serum TG, TC, LDL, HDL and leptin concentrations were analyzed. The gene expressions of adiponectin and resistin in adipose tissues were tested by RT-PCR.
 Results: Compared to the high-fat diet group, body weights, Lee's indexes, weight of fat tissues and serum TG, TC, LDL and leptin of SHJFG groups significantly decreased (p<0.05), whereas mRNA expressions of adiponectin and resistin of SHJFG groups significantly increased (p<0.05).
 Conclusions: SHJFG could significantly lower body weight and serum TG, TC, and LDL of obese rats. The effects of SHJFG in lowering leptin synthesis and raising mRNA expression of adiponectin and resistin in fat tissues may act as part of the mechanisms in lowering body weight of obese rats. Further studies are needed to demonstrate whether SHJFG may also reduce overall cardiovascular morbidity and mortality like other lipid lowering drugs.
KW  - obesity
KW  - high-fat diet
KW  - Shan He Jian Fei Granules (SHJFG)
KW  - lipid
KW  - adiponectin
KW  - resistin
KW  - leptin
Y1  - 2012
SN  - 1433-6510
VL  - 58
IS  - 1-2
SP  - 81
EP  - 87
PB  - Clin Lab Publ., Verl. Klinisches Labor
CY  - Heidelberg
ER  - 
TY  - RPRT
A1  - Brodeur, Abel
A1  - Mikola, Derek
A1  - Cook, Nikolai
A1  - Brailey, Thomas
A1  - Briggs, Ryan
A1  - Gendre, Alexandra de
A1  - Dupraz, Yannick
A1  - Fiala, Lenka
A1  - Gabani, Jacopo
A1  - Gauriot, Romain
A1  - Haddad, Joanne
A1  - Lima, Goncalo
A1  - Ankel-Peters, Jörg
A1  - Dreber, Anna
A1  - Campbell, Douglas
A1  - Kattan, Lamis
A1  - Fages, Diego Marino
A1  - Mierisch, Fabian
A1  - Sun, Pu
A1  - Wright, Taylor
A1  - Connolly, Marie
A1  - Hoces de la Guardia, Fernando
A1  - Johannesson, Magnus
A1  - Miguel, Edward
A1  - Vilhuber, Lars
A1  - Abarca, Alejandro
A1  - Acharya, Mahesh
A1  - Adjisse, Sossou Simplice
A1  - Akhtar, Ahwaz
A1  - Lizardi, Eduardo Alberto Ramirez
A1  - Albrecht, Sabina
A1  - Andersen, Synve Nygaard
A1  - Andlib, Zubaria
A1  - Arrora, Falak
A1  - Ash, Thomas
A1  - Bacher, Etienne
A1  - Bachler, Sebastian
A1  - Bacon, Félix
A1  - Bagues, Manuel
A1  - Balogh, Timea
A1  - Batmanov, Alisher
A1  - Barschkett, Mara
A1  - Basdil, B. Kaan
A1  - Dower, Jaromneda
A1  - Castek, Ondrej
A1  - Caviglia-Harris, Jill
A1  - Strand, Gabriella Chauca
A1  - Chen, Shi
A1  - Chzhen, Asya
A1  - Chung, Jong
A1  - Collins, Jason
A1  - Coppock, Alexander
A1  - Cordeau, Hugo
A1  - Couillard, Ben
A1  - Crechet, Jonathan
A1  - Crippa, Lorenzo
A1  - Cui, Jeanne
A1  - Czymara, Christian
A1  - Daarstad, Haley
A1  - Dao, Danh Chi
A1  - Dao, Dong
A1  - Schmandt, Marco David
A1  - Linde, Astrid de
A1  - Melo, Lucas De
A1  - Deer, Lachlan
A1  - Vera, Micole De
A1  - Dimitrova, Velichka
A1  - Dollbaum, Jan Fabian
A1  - Dollbaum, Jan Matti
A1  - Donnelly, Michael
A1  - Huynh, Luu Duc Toan
A1  - Dumbalska, Tsvetomira
A1  - Duncan, Jamie
A1  - Duong, Kiet Tuan
A1  - Duprey, Thibaut
A1  - Dworschak, Christoph
A1  - Ellingsrud, Sigmund
A1  - Elminejad, Ali
A1  - Eissa, Yasmine
A1  - Erhart, Andrea
A1  - Etingin-Frati, Giulian
A1  - Fatemi-Pour, Elaheh
A1  - Federice, Alexa
A1  - Feld, Jan
A1  - Fenig, Guidon
A1  - Firouzjaeiangalougah, Mojtaba
A1  - Fleisje, Erlend
A1  - Fortier-Chouinard, Alexandre
A1  - Engel, Julia Francesca
A1  - Fries, Tilman
A1  - Fortier, Reid
A1  - Fréchet, Nadjim
A1  - Galipeau, Thomas
A1  - Gallegos, Sebastián
A1  - Gangji, Areez
A1  - Gao, Xiaoying
A1  - Garnache, Cloé
A1  - Gáspár, Attila
A1  - Gavrilova, Evelina
A1  - Ghosh, Arijit
A1  - Gibney, Garreth
A1  - Gibson, Grant
A1  - Godager, Geir
A1  - Goff, Leonard
A1  - Gong, Da
A1  - González, Javier
A1  - Gretton, Jeremy
A1  - Griffa, Cristina
A1  - Grigoryeva, Idaliya
A1  - Grtting, Maja
A1  - Guntermann, Eric
A1  - Guo, Jiaqi
A1  - Gugushvili, Alexi
A1  - Habibnia, Hooman
A1  - Häffner, Sonja
A1  - Hall, Jonathan D.
A1  - Hammar, Olle
A1  - Kordt, Amund Hanson
A1  - Hashimoto, Barry
A1  - Hartley, Jonathan S.
A1  - Hausladen, Carina I.
A1  - Havránek, Tomáš
A1  - Hazen, Jacob
A1  - He, Harry
A1  - Hepplewhite, Matthew
A1  - Herrera-Rodriguez, Mario
A1  - Heuer, Felix
A1  - Heyes, Anthony
A1  - Ho, Anson T. Y.
A1  - Holmes, Jonathan
A1  - Holzknecht, Armando
A1  - Hsu, Yu-Hsiang Dexter
A1  - Hu, Shiang-Hung
A1  - Huang, Yu-Shiuan
A1  - Huebener, Mathias
A1  - Huber, Christoph
A1  - Huynh, Kim P.
A1  - Irsova, Zuzana
A1  - Isler, Ozan
A1  - Jakobsson, Niklas
A1  - Frith, Michael James
A1  - Jananji, Raphaël
A1  - Jayalath, Tharaka A.
A1  - Jetter, Michael
A1  - John, Jenny
A1  - Forshaw, Rachel Joy
A1  - Juan, Felipe
A1  - Kadriu, Valon
A1  - Karim, Sunny
A1  - Kelly, Edmund
A1  - Dang, Duy Khanh Hoang
A1  - Khushboo, Tazia
A1  - Kim, Jin
A1  - Kjellsson, Gustav
A1  - Kjelsrud, Anders
A1  - Kotsadam, Andreas
A1  - Korpershoek, Jori
A1  - Krashinsky, Lewis
A1  - Kundu, Suranjana
A1  - Kustov, Alexander
A1  - Lalayev, Nurlan
A1  - Langlois, Audrée
A1  - Laufer, Jill
A1  - Lee-Whiting, Blake
A1  - Leibing, Andreas
A1  - Lenz, Gabriel
A1  - Levin, Joel
A1  - Li, Peng
A1  - Li, Tongzhe
A1  - Lin, Yuchen
A1  - Listo, Ariel
A1  - Liu, Dan
A1  - Lu, Xuewen
A1  - Lukmanova, Elvina
A1  - Luscombe, Alex
A1  - Lusher, Lester R.
A1  - Lyu, Ke
A1  - Ma, Hai
A1  - Mäder, Nicolas
A1  - Makate, Clifton
A1  - Malmberg, Alice
A1  - Maitra, Adit
A1  - Mandas, Marco
A1  - Marcus, Jan
A1  - Margaryan, Shushanik
A1  - Márk, Lili
A1  - Martignano, Andres
A1  - Marsh, Abigail
A1  - Masetto, Isabella
A1  - McCanny, Anthony
A1  - McManus, Emma
A1  - McWay, Ryan
A1  - Metson, Lennard
A1  - Kinge, Jonas Minet
A1  - Mishra, Sumit
A1  - Mohnen, Myra
A1  - Möller, Jakob
A1  - Montambeault, Rosalie
A1  - Montpetit, Sébastien
A1  - Morin, Louis-Philippe
A1  - Morris, Todd
A1  - Moser, Scott
A1  - Motoki, Fabio
A1  - Muehlenbachs, Lucija
A1  - Musulan, Andreea
A1  - Musumeci, Marco
A1  - Nabin, Munirul
A1  - Nchare, Karim
A1  - Neubauer, Florian
A1  - Nguyen, Quan M. P.
A1  - Nguyen, Tuan
A1  - Nguyen-Tien, Viet
A1  - Niazi, Ali
A1  - Nikolaishvili, Giorgi
A1  - Nordstrom, Ardyn
A1  - Nü, Patrick
A1  - Odermatt, Angela
A1  - Olson, Matt
A1  - ien, Henning
A1  - Ölkers, Tim
A1  - Vert, Miquel Oliver i.
A1  - Oral, Emre
A1  - Oswald, Christian
A1  - Ousman, Ali
A1  - Özak, Ömer
A1  - Pandey, Shubham
A1  - Pavlov, Alexandre
A1  - Pelli, Martino
A1  - Penheiro, Romeo
A1  - Park, RyuGyung
A1  - Martel, Eva Pérez
A1  - Petrovičová, Tereza
A1  - Phan, Linh
A1  - Prettyman, Alexa
A1  - Procházka, Jakub
A1  - Putri, Aqila
A1  - Quandt, Julian
A1  - Qiu, Kangyu
A1  - Nguyen, Loan Quynh Thi
A1  - Rahman, Andaleeb
A1  - Rea, Carson H.
A1  - Reiremo, Adam
A1  - Renée, Laëtitia
A1  - Richardson, Joseph
A1  - Rivers, Nicholas
A1  - Rodrigues, Bruno
A1  - Roelofs, William
A1  - Roemer, Tobias
A1  - Rogeberg, Ole
A1  - Rose, Julian
A1  - Roskos-Ewoldsen, Andrew
A1  - Rosmer, Paul
A1  - Sabada, Barbara
A1  - Saberian, Soodeh
A1  - Salamanca, Nicolas
A1  - Sator, Georg
A1  - Sawyer, Antoine
A1  - Scates, Daniel
A1  - Schlüter, Elmar
A1  - Sells, Cameron
A1  - Sen, Sharmi
A1  - Sethi, Ritika
A1  - Shcherbiak, Anna
A1  - Sogaolu, Moyosore
A1  - Soosalu, Matt
A1  - Srensen, Erik
A1  - Sovani, Manali
A1  - Spencer, Noah
A1  - Staubli, Stefan
A1  - Stans, Renske
A1  - Stewart, Anya
A1  - Stips, Felix
A1  - Stockley, Kieran
A1  - Strobel, Stephenson
A1  - Struby, Ethan
A1  - Tang, John
A1  - Tanrisever, Idil
A1  - Yang, Thomas Tao
A1  - Tastan, Ipek
A1  - Tatić, Dejan
A1  - Tatlow, Benjamin
A1  - Seuyong, Féraud Tchuisseu
A1  - Thériault, Rémi
A1  - Thivierge, Vincent
A1  - Tian, Wenjie
A1  - Toma, Filip-Mihai
A1  - Totarelli, Maddalena
A1  - Tran, Van-Anh
A1  - Truong, Hung
A1  - Tsoy, Nikita
A1  - Tuzcuoglu, Kerem
A1  - Ubfal, Diego
A1  - Villalobos, Laura
A1  - Walterskirchen, Julian
A1  - Wang, Joseph Taoyi
A1  - Wattal, Vasudha
A1  - Webb, Matthew D.
A1  - Weber, Bryan
A1  - Weisser, Reinhard
A1  - Weng, Wei-Chien
A1  - Westheide, Christian
A1  - White, Kimberly
A1  - Winter, Jacob
A1  - Wochner, Timo
A1  - Woerman, Matt
A1  - Wong, Jared
A1  - Woodard, Ritchie
A1  - Wroński, Marcin
A1  - Yazbeck, Myra
A1  - Yang, Gustav Chung
A1  - Yap, Luther
A1  - Yassin, Kareman
A1  - Ye, Hao
A1  - Yoon, Jin Young
A1  - Yurris, Chris
A1  - Zahra, Tahreen
A1  - Zaneva, Mirela
A1  - Zayat, Aline
A1  - Zhang, Jonathan
A1  - Zhao, Ziwei
A1  - Yaolang, Zhong
T1  - Mass reproducibility and replicability
BT  - a new hope
T2  - I4R discussion paper series
N2  - This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.
KW  - conomics
KW  - open science
KW  - political science
KW  - replication
KW  - reproduction
KW  - research transparency
Y1  - 2024
SN  - 2752-1931
IS  - 107
PB  - Institute for Replication
CY  - Essen
ER  -