Genome sequencing of Porostereum spadiceum to study the degradation of levofloxacin by Amal Ben Ayed, Imen Akrout, Karima Staita, Quentin Albert, Stéphane Greff, Charlotte Simmler, Steven Ahrendt, Kurt LaButti, Anna Lipzen, Guifen He, Emily Savage, Jean Armengaud, Mélodie Kielbasa, David Navarro, Elodie Drula, Annick Turbé-Doan, Emmanuel Bertrand, Anne Lomascolo, Delphine Chaduli, Craig B. Faulds, Mohamed Chamkha, Amina Maalej, Kerrie Barry, Igor V. Grigoriev, Francis Martin, Héla Zouari-Mechichi, Giuliano Sciara, Tahar Mechichi, Eric Record

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Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China by Lilin Zhang, Yunjun Yao, Xiangyi Bei, Kun Jia, Xiaotong Zhang, Xianhong Xie, Bo Jiang, Ke Shang, Jia Xu, Xiaowei Chen

“…Although the calculation of sEDI does not directly incorporate precipitation and soil moisture, statistical analyses indicate sEDI can detect drought in accordance with the Standardized Precipitation Index (SPI) and Palmer Drought Severity Index (PDSI), with the highest correlations found in the west part of Northeast China (R < −0.7). …”
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Application of spatial transcriptomics analysis using the Visium system for the mouse nasal cavity after intranasal vaccination by Sakiko Toyama, Sakiko Toyama, Tomoko Honda, Sadahiro Iwabuchi, Shinichi Hashimoto, Kenzaburo Yamaji, Yuko Tokunaga, Yusuke Matsumoto, Yusuke Matsumoto, Hideya Kawaji, Takashi Miyazaki, Yoshiaki Kikkawa, Yoshiaki Kikkawa, Michinori Kohara

“…Glycoprotein 2 (Gp2)-, SRY-box transcription factor 8 (Sox8)-, or Spi-B transcription factor (Spib)-expressing cells were increased in the nasal passage (NP) region at 3–6 hr after SARS-CoV-2 spike protein and CVP (S-CVP) vaccination. …”
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Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale by Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham, Ana Cláudia Teodoro

“…The models were implemented based on the inventory mapping of a total number of 178 gully erosion points randomly divided into 2 groups (70% of points were used for training the models and 30% of points were used for the validation process), and 12 conditioning variables (i.e., elevation, slope, aspect, plane curvature, topographic moisture index (TWI), stream power index (SPI), precipitation, distance to road, distance to stream, drainage density, land use, and lithology). …”
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Assessment of Recent Flow, and Calving Rate of the Perito Moreno Glacier Using LANDSAT and SENTINEL2 Images by Daniele Bocchiola, Francesco Chirico, Andrea Soncini, Roberto Sergio Azzoni, Guglielmina Adele Diolaiuti, Antonella Senese

“…We mapped flow velocity and calving rates of the iconic Perito Moreno Glacier (PMG), belonging to the Southern Patagonian Icefield (SPI) in the Argentinian Patagonia. We tracked PMG from 2001 to 2017, focusing mostly upon the latest images from 2016–2017. …”
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Tell me if you prefer bovine or poultry sectors and I’ll tell you who you are: Characterization of Salmonella enterica subsp. enterica serovar Mbandaka in France by Madeleine De Sousa Violante, Madeleine De Sousa Violante, Valérie Michel, Karol Romero, Laetitia Bonifait, Louise Baugé, Agnès Perrin-Guyomard, Carole Feurer, Nicolas Radomski, Ludovic Mallet, Michel-Yves Mistou, Sabrina Cadel-Six

“…The first approach targeted the genes compiled in the MEGARESv2, Resfinder, VFDB and SPI databases. Plasmid and phage contents were also investigated. …”
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A Novel Ensemble Algorithm Based Model for Shallow Landslide Susceptibility Assessment Around the Bijar City A Novel Ensemble Algorithm Based Model for Shallow Landslide Suscepti... by Attaollah Shirzadi, Karim Soleimani, Mahmoud Habibnejad Roshanbaha, Attaollah Kaviyan, Kamran Chapi

“…Firstly, 19 affecting factors on shallow landslides in the study area including slope degree, slope aspect, elevation, curvature, profile curvature, plan curvature, solar radiation, stream power index (SPI), topographic wetness index (TWI), length-angle of slope (LS), land use, normalized difference vegetation index (NDVI), litho logy, distance to fault, fault density, rainfall, distance to stream, stream density and distance to road were identified. …”
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Heavy metals pollution indexing, geospatial and statistical approaches of groundwater within Challawa and Sharada industrial areas, Kano City, North-Western Nigeria by Hassan Hamidu, Falalu B. Halilu, Kwaya M. Yerima, Lawal M. Garba, Arabi A. Suleiman, Aliyu I. Kankara, Ibrahim M. Abdullahi

“…Article Highlights The pollution status of groundwater with respect to heavy metals was investigated in the Challawa and Sharada industrials zones in Kano city Nigeria The concentration of Cd, Fe, Ni, Cr Mn and Zn was determined using the AAS Different Pollution indices of HPI, HEI, SPI, Cd and MI were utilized to categorized the area as low, medium and highly polluted. …”
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Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks by Husam A.H. Al-Najjar, Biswajeet Pradhan

“…Elevation, slope, aspect, plan curvature, profile curvature, total curvature, lithology, land use and land cover (LULC), distance to the road, distance to the river, stream power index (SPI), sediment transport index (STI), terrain roughness index (TRI), topographic wetness index (TWI) and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands. …”
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Weighted Gene Co-Expression Network Analysis Identifies Critical Genes in the Development of Heart Failure After Acute Myocardial Infarction by Xiaowei Niu, Xiaowei Niu, Xiaowei Niu, Xiaowei Niu, Jingjing Zhang, Lanlan Zhang, Lanlan Zhang, Lanlan Zhang, Lanlan Zhang, Yangfan Hou, Shuangshuang Pu, Aiai Chu, Ming Bai, Ming Bai, Ming Bai, Ming Bai, Zheng Zhang, Zheng Zhang, Zheng Zhang, Zheng Zhang

“…Seven transcriptional factors, including SPI1, ZBTB7A, IRF8, PPARG, P65, KLF4, and Fos, were identified as potential regulators of the expression of genes identified in the blue module. …”
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Fisetin inhibits Salmonella Typhimurium type III secretion system regulator HilD and reduces pathology in vivo by Siqi Li, Hongtao Liu, Jingyan Shu, Quanshun Li, Yuan Liu, Haihua Feng, Jianfeng Wang, Xuming Deng, Yong Zhang, Zhimin Guo, Jiazhang Qiu

“…In this study, we found that the natural compound fisetin could inhibit Salmonella invasion of host cells by targeting SPI-1 regulation. Fisetin treatment impaired the interaction of the regulatory protein HilD with the promoters of its target genes, thereby suppressing the expression of T3SS-1 effectors as well as structural proteins. …”
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Sequence Stratigraphy and Geochemistry of Oil Shale Deposits in the Upper Cretaceous Qingshankou Formation of the Songliao Basin, NE China: Implications for the Geological Optimiza... by Penglin Zhang, Yinbo Xu, Qingtao Meng, Zhaojun Liu, Jiaqiang Zhang, Lin Shen, Shuaihua Zhang

“…The N2 and N3 oil shale layers have higher brittleness index (BI) values (generally 40–50%), larger cumulative thicknesses (maximum of 13.3 m; average of 12.0 m), and much higher source potential index (SPI) values (0.92 and 0.88 tHC/m², respectively) than the N1 oil shale layer within Sq1 transgressive system tracts (TST), indicating that the N2 and N3 layers are prospective targets for ICP. …”
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GWAS-Top Polymorphisms Associated With Late-Onset Alzheimer Disease in Brazil: Pointing Out Possible New Culprits Among Non-Coding RNAs by Gabriela Canalli Kretzschmar, Nina Moura Alencar, Saritha Suellen Lopes da Silva, Carla Daniela Sulzbach, Caroline Grisbach Meissner, Maria Luiza Petzl-Erler, Ricardo Lehtonen R. Souza, Angelica Beate Winter Boldt

“…We identified 54 variants in linkage disequilibrium (LD) with the associated SNPs, most of which act as expression or splicing quantitative trait loci (eQTLs/sQTLs) in genes previously associated with AD or with a possible functional role in the disease, such as CELF1, MADD, MYBPC3, NR1H3, NUP160, SPI1, and TOMM40. Interestingly, eight of these variants are located within long non-coding RNA (lncRNA) genes that have not been previously investigated regarding AD. …”
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Referral for Intensive Home Treatment or Psychiatric Inpatient Care? A Retrospective, Observational Comparison of Patient and Process Characteristics by G. C. Roselie van Asperen, André I. Wierdsma, Remco F. P. de Winter, Remco F. P. de Winter, Remco F. P. de Winter, Cornelis Lambert Mulder, Cornelis Lambert Mulder

“…Additional the case mix was measured using the Severity of Psychiatric Illness (SPI) scale. Process characteristics included psychiatric history, the total number of contacts with the emergency psychiatric outreach services, assessments during office hours, place of assessment, referrer, and the reason for referral. …”
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The second coming of Van Gennep among the Serbs by Ivan Kovačević

“…Bi­bli­o­graphy of works in­spi­red by Van Gen­nep in Ser­bian ethn­ology/anth­ro­po­log­y i­n the past ­th­ree de­ca­de­s t­ot­al­s at over ­25 bo­ok­s. …”
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Genome sequencing and analysis of Salmonella enterica subsp. enterica serovar Stanley UPM 517: Insights on its virulence-associated elements and their potentials as vaccine candida... by Khalidah Syahirah Ashari, Najwa Syahirah Roslan, Abdul Rahman Omar, Mohd Hair Bejo, Aini Ideris, Nurulfiza Mat Isa

“…There were seven Salmonella pathogenicity islands (SPIs) within the draft genome, which contained the virulence factors associated with Salmonella infection (except SPI-14). Five intact prophage regions, mostly comprising of the protein encoding Gifsy-1, Fels-1, RE-2010 and SEN34 prophages, were also encoded in the draft genome. …”
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Sharing Frailty-related information in perioperative care: an analysis from a temporal perspective by Daniel Fürstenau, Claudia Spies, Martin Gersch, Amyn Vogel, Rudolf Mörgeli, Akira-Sebastian Poncette, Ursula Müller-Werdan, Felix Balzer

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A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database by Giovanni Gullà, Massimo Conforti, Luigi Borrelli

“…The relationship between spatial pattern of the shallow landslides and the analyzed predisposing factors (lithological units, fault density, land use, drainage density, slope gradient, TWI, SPI and LS) showed that the high values of slope gradient, LS factor and drainage density, coupled to low values of TWI, displayed a strong control on the shallow landslide occurrence. …”
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Genetic characterization of primary and metastatic high-grade serous ovarian cancer tumors reveals distinct features associated with survival by Emilee N. Kotnik, Mary M. Mullen, Nicholas C. Spies, Tiandao Li, Matthew Inkman, Jin Zhang, Fernanda Martins-Rodrigues, Ian S. Hagemann, Carolyn K. McCourt, Premal H. Thaker, Andrea R. Hagemann, Matthew A. Powell, David G. Mutch, Dineo Khabele, Gregory D. Longmore, Elaine R. Mardis, Christopher A. Maher, Christopher A. Miller, Katherine C. Fuh

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Solution phase high repetition rate laser pump x-ray probe picosecond hard x-ray spectroscopy at the Stanford Synchrotron Radiation Lightsource by Marco Reinhard, Dean Skoien, Jacob A. Spies, Angel T. Garcia-Esparza, Benjamin D. Matson, Jeff Corbett, Kai Tian, James Safranek, Eduardo Granados, Matthew Strader, Kelly J. Gaffney, Roberto Alonso-Mori, Thomas Kroll, Dimosthenis Sokaras

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