Information is probably the single most important factor shaping the beginning of twenty-first century social life.Robert Logan,in his book"What is Information",explores certain issues related toinformation ...Information is probably the single most important factor shaping the beginning of twenty-first century social life.Robert Logan,in his book"What is Information",explores certain issues related toinformation on the basis of the connotation of information itself,and puts forward two importanttheories of"extended mind"and "symbolosphere".Based on the strong-emergence theory,Logandepicts the material emergence and non-material emergence,and proposes a neo-dualism view,aweak form of dualism.According to this,different from the biosphere,the evolution andreproduction mechanism in symbolosphere do not follow the rules of genetic inheritance,but themechanisms of memes,belonging to the territory of information study.However,the new dualismfaces the difficulty to correctly explain the ontological position of the symbolosphere,while thephilosophy of information provides a standard solution in its theory of human evolution.展开更多
Using -24‰ and -14‰ as the endpoints of stable carbon isotopic composition of total organic carbon (δ 13CTOC) of surface soil under pure C3 and C4 vegetation, and surface soil δ 13CTOC data from eastern China, Aus...Using -24‰ and -14‰ as the endpoints of stable carbon isotopic composition of total organic carbon (δ 13CTOC) of surface soil under pure C3 and C4 vegetation, and surface soil δ 13CTOC data from eastern China, Australia and the Great Plains of North America, we estimate the relative abundance of C3/C4 plants (i.e., the ratio of C3 or C4 biomass to local primary production) in modern vegetation for each region. The relative abundance of modern C3/C4 vegetation from each region is compared to the corresponding climatic parameters (mean annual temperature and precipitation) to explore the relationship between relative C4 abundance and climate. The results indicate that temperature controls the growth of C4 plants. However, even where temperature is high enough for the growth of C4 plants, they will only dominate the landscape when precipitation declines as temperatures increase. Our results are consistent with those of other investigations of the geographic distribution of modern C4 plant species. Therefore, our results provide an important reference for interpretation of past C3/C4 relative abundance records in these three regions.展开更多
This paper reports the recent excavation of Unit Dadiwan06 at the Dadiwan site in Qin’an County, Gansu.A 65 ka chronological framework is established for Dadiwan06 on the basis of absolute dating (AMS 14C and OSL), s...This paper reports the recent excavation of Unit Dadiwan06 at the Dadiwan site in Qin’an County, Gansu.A 65 ka chronological framework is established for Dadiwan06 on the basis of absolute dating (AMS 14C and OSL), stratigraphy, climate change events and archaeology.Artifact distributions reveal patterns of human behavioral variation and adaptation over the past 60 ka, from primitive hunting and gathering to advanced hunting and gathering, to primitive Neolithic agriculture, and finally to advanced Neolithic agriculture.展开更多
Reaching the Tibetan Plateau is notoriously challenging due to its high elevations and the surrounding mountain ranges.Considering environmental pressures such as low temperatures and precipitations,patchy resources,a...Reaching the Tibetan Plateau is notoriously challenging due to its high elevations and the surrounding mountain ranges.Considering environmental pressures such as low temperatures and precipitations,patchy resources,and especially hypoxia,continued survival in the region requires both biological and behavioral adaptations.This is probably why for a long time the Plateau was considered among the last regions occupied by human beings.展开更多
Economists study negotiation as a series of events--partner choice, information gathering, bargaining, etc.--with each step of the process affecting the outcome of the next, and the optimal decision at each stage depe...Economists study negotiation as a series of events--partner choice, information gathering, bargaining, etc.--with each step of the process affecting the outcome of the next, and the optimal decision at each stage depending on the player's bargaining power. The context in which these negotiations occur--the market--is critical, since players can adjust their behaviors in response to outside offers. Animals similarly are faced with sequential decisions regarding courtship: who to court, how to approach a potential mate, at what level to display, when to give up, etc. Thus economic models of negotiation in a market provide a framework in which we can view not just the outcome of courtship (assortative mating), but also the process, where each sex can use tactics to improve their negotiating outcome, using the assets that they have available. Here we propose to use negotiation as a conceptual framework to explore the factors promoting tactical adjustments during sequential stages of courtship in lekking species. Our goal is to discuss the utility of negotiation as a heuristic tool, as well as the promise and peril of co-opting game theoretic models from economics to understand animal interactions. We will provide a brief overview of a few areas where we see promise for using negotiation as a framework to understand animal courtship dynamics: choice of a display territory, tactical partner choice for negotiation, approaching a potential partner and courtship haggling .展开更多
Human settlement and agricultural development are closely linked to local geomorphological and climatic environments.However,the variation in agricultural systems in different environmental and prehistoric contexts re...Human settlement and agricultural development are closely linked to local geomorphological and climatic environments.However,the variation in agricultural systems in different environmental and prehistoric contexts remains unknown.We report new archaeobotanical and radiocarbon dates from 34 Neolithic and Bronze Age sites in the Hutuo River Valley(HTRV)in north-central China and compare them with updated archaeobotanical studies in the Sushui River Valley(SSRV)and Henan Province(HNP),to explore the similarities and differences of agricultural patterns under different geomorphologic and climatic environments in north-central China.Our results reveal that humans consistently cultivated foxtail and broomcorn millet in the HTRV from the Miaodigou(6000–5700 cal.a BP)to the Shang-Zhou(3600–2256 cal.a BP)period,despite the introduction of wheat and barley into the area around 4000 a BP.Climate conditions and hilly landforms in the HTRV,SSRV and some parts of the HNP led people to develop foxtail and broomcorn millet dry land farming practices between 7000 and 3000 a BP.Alternatively,in other areas of the HNP,the climate conditions and alluvial plains enabled people to develop a mixed agriculture of millets,soybeans,and rice from 7000 to 4000 a BP,with the addition of wheat between 4000 and 3000 a BP.Farmers’different agricultural technologies and interactions with foreign cultures may have also influenced the formation of different agricultural patterns in the three regions between 7000 and 3000 a BP.Population growth during 7000–3000 a BP can explain the overall propensity of the higher-yield foxtail millet rather than broomcorn millet as the main cultivated crop.In the HTRV,however,higher proportions of broomcorn millet(as compared to the SSRV and HNP),may reflect the greater drought and heat tolerance of broomcorn millet,representing an adaptive agricultural strategy in the river valley.展开更多
The National Research Council recommends that genetic differentiation among subgroups of ethnic samples be lower than 3%of the total genetic differentiation within the ethnic sample to be used for estimating reliable ...The National Research Council recommends that genetic differentiation among subgroups of ethnic samples be lower than 3%of the total genetic differentiation within the ethnic sample to be used for estimating reliable random match probabilities for forensic use.Native American samples in the United States’Combined DNA Index System(CODIS)database represent four language families:Algonquian,Na-Dene,Eskimo-Aleut,and Salishan.However,a minimum of 27 Native American language families exists in the US,not including language isolates.Our goal was to ascertain whether genetic differences are correlated with language groupings and,if so,whether additional language families would provide a more accurate representation of current genetic diversity among tribal populations.The 21 short tandem repeat(STR)loci included in the Globalfiler^(■)PCR Amplification Kit were used to characterize six indigenous language families,including three of the four represented in the CODIS database(i.e.Algonquian,Na-Dene,and Eskimo-Aleut),and two language isolates(Miwok and Seri)using major population genetic diversity metrics such as F statistics and Bayesian clustering analysis of genotype frequencies.Most of the genetic variation(97%)was found to be within language families instead of among them(3%).In contrast,when only the three of the four language families represented in both the CODIS database and the present study were considered,4%of the genetic variation occurred among the language groups.Bayesian clustering resulted in a maximum posterior probability indicating three genetically distinct groups among the eight language families and isolates:(1)Eskimo,(2)Seri,and(3)all other language groups and isolates,thus confirming genetic subdivision among subgroups of the CODIS Native American database.This genetic structure indicates the need for an increased number of Native American populations based on language affiliation in the CODIS database as well as more robust sample sets for those language families.展开更多
Real-time crime forecasting is important.However,accurate prediction of when and where the next crime will happen is difficult.No known physical model provides a reasonable approximation to such a complex system.Histo...Real-time crime forecasting is important.However,accurate prediction of when and where the next crime will happen is difficult.No known physical model provides a reasonable approximation to such a complex system.Historical crime data are sparse in both space and time and the signal of interests is weak.In this work,the authors first present a proper representation of crime data.The authors then adapt the spatial temporal residual network on the well represented data to predict the distribution of crime in Los Angeles at the scale of hours in neighborhood-sized parcels.These experiments as well as comparisons with several existing approaches to prediction demonstrate the superiority of the proposed model in terms of accuracy.Finally,the authors present a ternarization technique to address the resource consumption issue for its deployment in real world.This work is an extension of our short conference proceeding paper[Wang,B.,Zhang,D.,Zhang,D.H.,et al.,Deep learning for real time Crime forecasting,2017,ar Xiv:1707.03340].展开更多
文摘Information is probably the single most important factor shaping the beginning of twenty-first century social life.Robert Logan,in his book"What is Information",explores certain issues related toinformation on the basis of the connotation of information itself,and puts forward two importanttheories of"extended mind"and "symbolosphere".Based on the strong-emergence theory,Logandepicts the material emergence and non-material emergence,and proposes a neo-dualism view,aweak form of dualism.According to this,different from the biosphere,the evolution andreproduction mechanism in symbolosphere do not follow the rules of genetic inheritance,but themechanisms of memes,belonging to the territory of information study.However,the new dualismfaces the difficulty to correctly explain the ontological position of the symbolosphere,while thephilosophy of information provides a standard solution in its theory of human evolution.
基金supported by the Key Project of Chinese Ministry of Education (109151)the National Natural Science Foundation of China (40672121 and 40872111)the NSFC National Innovative Research Team Project (40721061)
文摘Using -24‰ and -14‰ as the endpoints of stable carbon isotopic composition of total organic carbon (δ 13CTOC) of surface soil under pure C3 and C4 vegetation, and surface soil δ 13CTOC data from eastern China, Australia and the Great Plains of North America, we estimate the relative abundance of C3/C4 plants (i.e., the ratio of C3 or C4 biomass to local primary production) in modern vegetation for each region. The relative abundance of modern C3/C4 vegetation from each region is compared to the corresponding climatic parameters (mean annual temperature and precipitation) to explore the relationship between relative C4 abundance and climate. The results indicate that temperature controls the growth of C4 plants. However, even where temperature is high enough for the growth of C4 plants, they will only dominate the landscape when precipitation declines as temperatures increase. Our results are consistent with those of other investigations of the geographic distribution of modern C4 plant species. Therefore, our results provide an important reference for interpretation of past C3/C4 relative abundance records in these three regions.
基金supported by the Funds for Creative Research Groups of China (B06026)National Geographic Society and the Pacific Rim Research Program
文摘This paper reports the recent excavation of Unit Dadiwan06 at the Dadiwan site in Qin’an County, Gansu.A 65 ka chronological framework is established for Dadiwan06 on the basis of absolute dating (AMS 14C and OSL), stratigraphy, climate change events and archaeology.Artifact distributions reveal patterns of human behavioral variation and adaptation over the past 60 ka, from primitive hunting and gathering to advanced hunting and gathering, to primitive Neolithic agriculture, and finally to advanced Neolithic agriculture.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research (2019QZKK0601)the Strategic Priority Research Program of Chinese Academy of Sciences (XDB26030200 and XDA2004010102)+1 种基金the National Natural Science Foundation of China (42072033 and 41977380)the National Social Science Foundation of China (21@WTK001)。
文摘Reaching the Tibetan Plateau is notoriously challenging due to its high elevations and the surrounding mountain ranges.Considering environmental pressures such as low temperatures and precipitations,patchy resources,and especially hypoxia,continued survival in the region requires both biological and behavioral adaptations.This is probably why for a long time the Plateau was considered among the last regions occupied by human beings.
基金Acknowledgements We wish to thank Jack Bradbury for the suggestion to explore the negotiation literature to understand lekking sage-grouse, and Heather McKibben and Kyle Joyce for the help in interpreting the literature. Additional thanks to two anonymous reviewers and editor, Eileen Hebets. This work was funded in part by a National Science Foundation grant to GLP and AHK (IOS-0925038).
文摘Economists study negotiation as a series of events--partner choice, information gathering, bargaining, etc.--with each step of the process affecting the outcome of the next, and the optimal decision at each stage depending on the player's bargaining power. The context in which these negotiations occur--the market--is critical, since players can adjust their behaviors in response to outside offers. Animals similarly are faced with sequential decisions regarding courtship: who to court, how to approach a potential mate, at what level to display, when to give up, etc. Thus economic models of negotiation in a market provide a framework in which we can view not just the outcome of courtship (assortative mating), but also the process, where each sex can use tactics to improve their negotiating outcome, using the assets that they have available. Here we propose to use negotiation as a conceptual framework to explore the factors promoting tactical adjustments during sequential stages of courtship in lekking species. Our goal is to discuss the utility of negotiation as a heuristic tool, as well as the promise and peril of co-opting game theoretic models from economics to understand animal interactions. We will provide a brief overview of a few areas where we see promise for using negotiation as a framework to understand animal courtship dynamics: choice of a display territory, tactical partner choice for negotiation, approaching a potential partner and courtship haggling .
基金supported by the National Natural Science Foundation of China (Grant Nos. 41825001, 41871076, 4210011192 and 41501216)the Open Foundation of MOE Key Laboratory of Western China’s Environmental Systems, Lanzhou University+3 种基金the Fundamental Research Funds for the Central Universities (Grant Nos. lzujbky-2021-kb01, 2019jbkyzy014 and lzujbky-2018-43)the Fundamental Research Funds for the Central Universities of Nanjing Agricultural University (Grant Nos. SKYC2021011 and KYYJ202111)Open Fund Project of the State Key Laboratory of Loess and Quaternary Geology (Grant No. SKLLQG2015)General Project of Philosophy and Social Science Research in Universities in 2021 (Grant No. 2021SJA0052)
文摘Human settlement and agricultural development are closely linked to local geomorphological and climatic environments.However,the variation in agricultural systems in different environmental and prehistoric contexts remains unknown.We report new archaeobotanical and radiocarbon dates from 34 Neolithic and Bronze Age sites in the Hutuo River Valley(HTRV)in north-central China and compare them with updated archaeobotanical studies in the Sushui River Valley(SSRV)and Henan Province(HNP),to explore the similarities and differences of agricultural patterns under different geomorphologic and climatic environments in north-central China.Our results reveal that humans consistently cultivated foxtail and broomcorn millet in the HTRV from the Miaodigou(6000–5700 cal.a BP)to the Shang-Zhou(3600–2256 cal.a BP)period,despite the introduction of wheat and barley into the area around 4000 a BP.Climate conditions and hilly landforms in the HTRV,SSRV and some parts of the HNP led people to develop foxtail and broomcorn millet dry land farming practices between 7000 and 3000 a BP.Alternatively,in other areas of the HNP,the climate conditions and alluvial plains enabled people to develop a mixed agriculture of millets,soybeans,and rice from 7000 to 4000 a BP,with the addition of wheat between 4000 and 3000 a BP.Farmers’different agricultural technologies and interactions with foreign cultures may have also influenced the formation of different agricultural patterns in the three regions between 7000 and 3000 a BP.Population growth during 7000–3000 a BP can explain the overall propensity of the higher-yield foxtail millet rather than broomcorn millet as the main cultivated crop.In the HTRV,however,higher proportions of broomcorn millet(as compared to the SSRV and HNP),may reflect the greater drought and heat tolerance of broomcorn millet,representing an adaptive agricultural strategy in the river valley.
基金This study was funded by a National Institute of Justice grant[grant number 2014-DN-BX-K024]to Sreetharan Kanthaswamy,and a research grant from the UC Davis Forensic Science Graduate Program to Jessica A.Weise.
文摘The National Research Council recommends that genetic differentiation among subgroups of ethnic samples be lower than 3%of the total genetic differentiation within the ethnic sample to be used for estimating reliable random match probabilities for forensic use.Native American samples in the United States’Combined DNA Index System(CODIS)database represent four language families:Algonquian,Na-Dene,Eskimo-Aleut,and Salishan.However,a minimum of 27 Native American language families exists in the US,not including language isolates.Our goal was to ascertain whether genetic differences are correlated with language groupings and,if so,whether additional language families would provide a more accurate representation of current genetic diversity among tribal populations.The 21 short tandem repeat(STR)loci included in the Globalfiler^(■)PCR Amplification Kit were used to characterize six indigenous language families,including three of the four represented in the CODIS database(i.e.Algonquian,Na-Dene,and Eskimo-Aleut),and two language isolates(Miwok and Seri)using major population genetic diversity metrics such as F statistics and Bayesian clustering analysis of genotype frequencies.Most of the genetic variation(97%)was found to be within language families instead of among them(3%).In contrast,when only the three of the four language families represented in both the CODIS database and the present study were considered,4%of the genetic variation occurred among the language groups.Bayesian clustering resulted in a maximum posterior probability indicating three genetically distinct groups among the eight language families and isolates:(1)Eskimo,(2)Seri,and(3)all other language groups and isolates,thus confirming genetic subdivision among subgroups of the CODIS Native American database.This genetic structure indicates the need for an increased number of Native American populations based on language affiliation in the CODIS database as well as more robust sample sets for those language families.
基金supported by Pan-Third Pole Environment Study for a Green Silk Road of the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20090000)the National Key Research and Development Program of China(2018YFA0606400)+1 种基金Part laboratory and fieldwork costs were supported by the National Natural Science Foundation of China(41772178,91747207,and 41620104007)Field expedition was supported by the Second Tibetan Plateau Scientific Expedition(2019QZKK0601)。
基金supported by ONR Grants N00014-16-1-2119,N000-14-16-1-2157NSF Grants DMS-1417674,DMS-1522383,DMS-1737770 and IIS-1632935
文摘Real-time crime forecasting is important.However,accurate prediction of when and where the next crime will happen is difficult.No known physical model provides a reasonable approximation to such a complex system.Historical crime data are sparse in both space and time and the signal of interests is weak.In this work,the authors first present a proper representation of crime data.The authors then adapt the spatial temporal residual network on the well represented data to predict the distribution of crime in Los Angeles at the scale of hours in neighborhood-sized parcels.These experiments as well as comparisons with several existing approaches to prediction demonstrate the superiority of the proposed model in terms of accuracy.Finally,the authors present a ternarization technique to address the resource consumption issue for its deployment in real world.This work is an extension of our short conference proceeding paper[Wang,B.,Zhang,D.,Zhang,D.H.,et al.,Deep learning for real time Crime forecasting,2017,ar Xiv:1707.03340].