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The Tarim River basin, located in Xinjiang, NW China, is the largest endorheic river basin in China and one of the largest in all of Central Asia. Due to the extremely arid climate, with an annual precipitation of less than 100 mm, the water supply along the Aksu and Tarim rivers solely depends on river water. This is linked to anthropogenic activities (e.g., agriculture) and natural and semi-natural ecosystems as both compete for water. The ongoing increase in water consumption by agriculture and other human activities in this region has been enhancing the competition for water between human needs and nature. Against this background, 11 German and 6 Chinese universities and research institutes have formed the consortium SuMaRiO (Sustainable Management of River Oases along the Tarim River; http://www.sumario.de), which aims to create a holistic picture of the availability of water resources in the Tarim River basin and the impacts on anthropogenic activities and natural ecosystems caused by the water distribution within the Tarim River basin. On the basis of the results from field studies and modeling approaches as well as from suggestions by the relevant regional stakeholders, a decision support tool (DST) will be implemented that will then assist stakeholders in balancing the competition for water, acknowledging the major external effects of water allocation to agriculture and to natural ecosystems. This consortium was formed in 2011 and is funded by the German Federal Ministry of Education and Research. As the data collection phase was finished this year, the paper presented here brings together the results from the fields from the disciplines of climate modeling, cryology, hydrology, agricultural sciences, ecology, geoinformatics, and social sciences in order to present a comprehensive picture of the effects of different water availability schemes on anthropogenic activities and natural ecosystems along the Tarim River. The second objective is to present the project structure of the whole consortium, the current status of work (i.e., major new results and findings), explain the foundation of the decision support tool as a key product of this project, and conclude with application recommendations for the region. The discharge of the Aksu River, which is the major tributary of the Tarim, has been increasing over the past 6 decades. From 1989 to 2011, agricultural area more than doubled: cotton became the major crop and there was a shift from small-scale to large-scale intensive farming. The ongoing increase in irrigated agricultural land leads to the increased threat of salinization and soil degradation caused by increased evapotranspiration. Aside from agricultural land, the major natural and semi-natural ecosystems are riparian (Tugai) forests, shrub vegetation, reed beds, and other grassland, as well as urban and peri-urban vegetation. Within the SuMaRiO cluster, focus has been set on the Tugai forests, with Populus euphratica as the dominant tree species, because these forests belong to the most productive and species-rich natural ecosystems of the Tarim River basin. At sites close to the groundwater, the annual stem diameter increments of Populus euphratica correlated with the river runoffs of the previous year. However, the natural river dynamics cease along the downstream course and thus hamper the recruitment of Populus euphratica. A study on the willingness to pay for the conservation of the natural ecosystems was conducted to estimate the concern of the people in the region and in China's capital. These household surveys revealed that there is a considerable willingness to pay for conservation of the natural ecosystems, with mitigation of dust and sandstorms considered the most important ecosystem service. Stakeholder dialogues contributed to creating a scientific basis for a sustainable management in the future.
An extensive survey of Linyphiidae spiders from Wulipo National Nature Reserve (NNR), Chongqing has been conducted, in which 24 species belonging to 16 genera are recorded including two new genera and eight new species described here as: Agyneta Hull, 1911, A. orthogonia sp. nov. (♂♀); Dicristatus gen. nov., D. minutus gen. et sp. nov. (♂♀); Dicymbium Menge, 1868, D. pingqianense sp. nov. (♂♀); Himalaphantes Tanasevitch, 1992, H. azumiensis (Oi, 1979) (♂♀); Indophantes Saaristo & Tanasevitch, 2003, I. wushanensis sp. nov. (♂♀); Ketambea Millidge & Russell-Smith, 1992, K. nigripectoris (Oi, 1960) (♂♀); Molestia Tu, Saaristo & Li, 2006, M. pollicaris sp. nov. (♂♀); Neriene Blackwall, 1833, N. calozonata Chen & Zhu, 1989 (♀), N. cavaleriei (Schenkel, 1963) (♂♀), N. emphana (Walckenaer, 1841) (♂♀), N. japonica (Oi, 1960) (♂♀), N. limbatinella (Bösenberg & Strand, 1906) (♀), N. longipedella (Bösenberg & Strand, 1906) (♂♀), N. oidedicata van Helsdingen, 1969 (♀); Prosoponoides Millidge & Russell-Smith, 1992, P. sinense (Chen, 1991) (♂♀); Ryojius Saito & Ono, 2001, R. simplex sp. nov. (♂♀); Stemonyphantes Menge, 1866, S. bifurcus sp. nov. (♂); Syedra Simon, 1884, S. oii Saito, 1983; Tapinopa Westring, 1851, T. guttata Komatsu, 1937 (♀); Tenuiphantes Saaristo & Tanasevitch, 1996, T. ancatus (Zhu, Li & Sha, 1986) (♂♀); Walckenaeria Blackwall, 1833, Walckenaeria asymmetrica Song & Li, 2011 (♂♀); Wuliphantes gen. nov., W. guanshan (Irfan, Wang & Zhang, 2022) gen. et comb. nov. (♂♀), W. tongluensis (Chen & Song, 1988) gen. et comb. nov. (♂♀), W. trigyrus gen. et sp. nov. (♂♀). Male of Tenuiphantes ancatus (Zhu, Li & Sha, 1986) is described here for the first time as new to science. The taxonomic status of Bathyphantes guanshan Irfan, Wang & Zhang, 2022 and Bathyphantes tongluensis (Chen & Song, 1988) is revised and proposed here as: Wuliphantes tongluensis (Chen& Song, 1988) gen. et comb. nov. (♂♀) and Wuliphantes guanshan (Irfan, Wang & Zhang, 2022) gen. et comb. nov. (♂♀), respectively. Morphological descriptions, photos of body and copulatory organs, as well as the locality map are provided.
Seven new species of the genus Meta C.L. Koch, 1836 from Southwest China are described here: M. bowo sp. nov. (♂♀), M. cona sp. nov. (♂♀), M. gyirong sp. nov. (♂), M. hongyuan sp. nov. (♂♀), M. tibet sp. nov. (♂♀), M. wanglang sp. nov. (♂♀) and M. weining sp. nov. (♂♀). Detailed descriptions, photos of somatic features and copulatory organs as well as line drawings, comparisons with closely related species, and a distribution map are provided.
Serratacosa, a new genus of Lycosidae (Araneae) from the southern slopes of the Eastern Himalayas
(2021)
A new wolf spider genus, Serratacosa gen. nov., is erected based on the type and new species, S. medogensis gen. et sp. nov. and two newly combined species, S. himalayensis (Gravely, 1924) (from Hogna Simon, 1885) and S. multidontata (Qu, Peng & Yin, 2010) (from Pardosa C.L. Koch, 1847). All of them are from the southern slopes of the Eastern Himalayas. Descriptions of the new genera and species, and a redescription of S. multidontata are provided together with digital images, illustrations and a distribution map.
Heart valve disease is a major clinical problem worldwide. Cardiac valve development and homeostasis need to be precisely controlled. Hippo signaling is essential for organ development and tissue homeostasis, while its role in valve formation and morphology maintenance remains unknown. VGLL4 is a transcription cofactor in vertebrates and we found it was mainly expressed in valve interstitial cells at the post-EMT stage and was maintained till the adult stage. Tissue specific knockout of VGLL4 in different cell lineages revealed that only loss of VGLL4 in endothelial cell lineage led to valve malformation with expanded expression of YAP targets. We further semi-knockout YAP in VGLL4 ablated hearts, and found hyper proliferation of arterial valve interstitial cells was significantly constrained. These findings suggest that VGLL4 is important for valve development and manipulation of Hippo components would be a potential therapy for preventing the progression of congenital valve disease.
In this study, a portable electronic nose (E-nose) prototype is developed using metal oxide semiconductor (MOS) sensors to detect odors of different wines. Odor detection facilitates the distinction of wines with different properties, including areas of production, vintage years, fermentation processes, and varietals. Four popular machine learning algorithms—extreme gradient boosting (XGBoost), random forest (RF), support vector machine (SVM), and backpropagation neural network (BPNN)—were used to build identification models for different classification tasks. Experimental results show that BPNN achieved the best performance, with accuracies of 94% and 92.5% in identifying production areas and varietals, respectively; and SVM achieved the best performance in identifying vintages and fermentation processes, with accuracies of 67.3% and 60.5%, respectively. Results demonstrate the effectiveness of the developed E-nose, which could be used to distinguish different wines based on their properties following selection of an optimal algorithm.
Type-II multiferroic materials, in which ferroelectric polarization is induced by inversion non-symmetric magnetic order, promise new and highly efficient multifunctional applications based on mutual control of magnetic and electric properties. However, to date this phenomenon is limited to low temperatures. Here we report giant pressure-dependence of the multiferroic critical temperature in CuBr2: at 4.5 GPa it is enhanced from 73.5 to 162 K, to our knowledge the highest TC ever reported for non-oxide type-II multiferroics. This growth shows no sign of saturating and the dielectric loss remains small under these high pressures. We establish the structure under pressure and demonstrate a 60\% increase in the two-magnon Raman energy scale up to 3.6 GPa. First-principles structural and magnetic energy calculations provide a quantitative explanation in terms of dramatically pressure-enhanced interactions between CuBr2 chains. These large, pressure-tuned magnetic interactions motivate structural control in cuprous halides as a route to applied high-temperature multiferroicity.
The Tarim River Basin, located in Xinjiang, NW China, is the largest endorheic river basin of China and one of the largest in whole Central Asia. Due to the extremely arid climate with an annual precipitation of less than 100 mm, the water supply along the Aksu and Tarim River solely depends on river water. This applies for anthropogenic activities (e.g. agriculture) as well as for the natural ecosystems so that both compete for water. The on-going increase of water consumption by agriculture and other human activities in this region has been enhancing the competition for water between human needs and nature. Against this background, 11 German and 6 Chinese universities and research institutes formed the consortium SuMaRiO (www.sumario.de), which aims at gaining a holistic picture of the availability of water resources in the Tarim River Basin and the impacts on anthropogenic activities and natural ecosystems caused by the water distribution within the Tarim River Basin. The discharge of the Aksu River, which is the major tributary to the Tarim, has been increasing over the past 6 decades due to enhanced glacier melt. Alone from 1989 to 2011, the area under agriculture more than doubled. Thereby, cotton became the major crop and there was a shift from small-scale farming to large-scale intensive farming. The major natural ecosystems along the Aksu and Tarim River are riparian ecosystems: Riparian (Tugai) forests, shrub vegetation, reed beds, and other grassland. Within the SuMaRiO Cluster the focus was laid on the Tugai forests, with Populus euphratica as dominant tree, because the most productive and species-rich natural ecosystems can be found among those forests. On sites with groundwater distance of less than 7.5 m the annual increments correlated with river runoffs of the previous year. But, the further downstream along the Tarim River, the more the natural river dynamics ceased, which impacts on the recruitment of Populus euphratica. Household surveys revealed that there is a considerable willingness to pay for conservation of those riparian forests with the mitigation of dust and sandstorms considered as the most important ecosystem service. This interdisciplinary project will result in a decision support tool (DST), build on the participation of regional stakeholders and models based on results and field experiments. This DST finally shall assist stakeholders in balancing the water competition acknowledging the major external effects of any water allocation.
New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
(2022)
The paper deals with five new species of the genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) collected from Qinghai Province, P.R. China, Atractides (Atractides) biprojectus Zhang, Li & Guo sp. nov., Atractides (Atractides) smiti Zhang, Li & Guo sp. nov., Atractides (Atractides) menyuanensis Zhang, Li & Guo sp. nov., Atractides (Atractides) longiprojectus Zhang, Li & Guo sp. nov. and Atractides (Atractides) xianmiensis Zhang, Li & Guo sp. nov. All the new species are described and illustrated in detail, and all the type specimens are deposited in the Institute of Entomology, Guizhou University, Guiyang, China (GUGC).
Formalin‐fixed, paraffin‐embedded (FFPE ), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT )‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PC a) and diffuse large B‐cell lymphoma (DLBCL ) samples. We show that the proteome patterns of FFPE PC a tissue samples and their analogous fresh‐frozen (FF ) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PC a tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PC a and DLBCL have been discovered.