Mapping the extent and exploring the drivers of cocoa agroforestry in Nigeria, insights into trends for climate change adaptation by Koralewicz, A, Vlcek, J, Menor, IO, Hirons, M, Akinyugha, A, Olowoyo, OS, Ajayi-Ebenezer, M, Owen, O

“…This research can contribute to improved monitoring of cocoa-driven tree loss and provide important context for policy and program design to enhance climate change adaptation in similar cocoa producing regions.…”

Stratigraphy and taphonomy of tubular microfossils in Terreneuvian rocks of the Soltanieh Formation, Soltanieh Mountains, Northern Iran by Etemad-Saeed, N, Anderson, RP, Tosca, NJ, Bergmann, KD, Knoll, AH

“…Nonetheless, the occurrence of abundant organic-walled tubes in the USM of the Soltanieh Formation adds to both the diversity of animal fossils found regionally in Terreneuvian rocks and the broader paleogeographic distribution of tubular metazoans in early Cambrian oceans.…”

A multimodal neural signature of face processing in autism within the fusiform gyrus by Floris, DL, Llera, A, Zabihi, M, Moessnang, C, Jones, EJH, Mason, L, Haartsen, R, Holz, NE, Mei, T, Elleaume, C, Vieira, BH, Pretzsch, CM, Forde, NJ, Baumeister, S, Dell’Acqua, F, Durston, S, Banaschewski, T, Ecker, C, Holt, RJ, Baron-Cohen, S, Bourgeron, T, Charman, T, Loth, E, Murphy, DGM, Beckmann, CF

“…Its neural correlates have been explored extensively across single neuroimaging modalities within key regions of the face processing network, such as the fusiform gyrus (FFG). …”

Friend request accepted: fundamental features of social environments determine social affiliation decisions by Garud, S

“…Next, in a 7T fMRI study (n=24), I found that the subcortical dorsal raphe nucleus represented density-related effects and the substantia nigra (SN) represented friendliness-related effects. Further, cortical regions like the anterior insula (aI) represented both friend- liness and density related effects. …”

From mechanisms to future therapy: a synopsis of isolated REM sleep behavior disorder as early synuclein-related disease by Stefani, A, Antelmi, E, Arnaldi, D, Arnulf, I, During, E, Högl, B, Hu, MMT, Iranzo, A, Luke, R, Peever, J, Postuma, RB, Videnovic, A, Gan-Or, Z

“…RBD pathophysiology is not fully clarified yet, but clinical and basic science suggest that ɑ-syn pathology begins in the lower brainstem where REM atonia circuits are located, including the sublaterodorsal tegmental/subcoeruleus nucleus and the ventral medulla, then propagates rostrally to brain regions such as the substantia nigra, limbic system, cortex. …”

Structure of mushy layers grown from perfectly and imperfectly conducting boundaries. Part 2. Onset of convection by Hitchen, JR, Wells, AJ

“…Scaling arguments characterise variation of the critical Rayleigh number and wavenumber based on the potential energy contained in order-one aspect ratio convective cells over the high-porosity regions. The Stefan number characterises the ratio of latent and sensible heats, and has moderate impact on stability via modification of the background temperature and porosity. …”

Social media use and cross-cultural adaptation of Chinese students overseas: a systematic review by Bi, Shanshan, Abdul Latiff Ahmad, Jamaluddin Aziz

“…Due to the progress of globalization, as well as the advancement of transportation and communication tools, there is a greater interconnectedness among nations and regions worldwide. A common trend of it is the increasing prevalence of students opting to pursue tertiary education overseas. …”
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First results on a new PIAA coronagraph testbed at NASA Ames by Belikov, R., Pluzhnik, E., Connelley, M. S., Witteborn, F. C., Lynch, D. H., Cahoy, K. L., Guyon, O., Greene, T. P., McKelvey, M. E.

“…At time of this writing, we are operating a refractive PIAA system and have achieved contrasts of about 1.2×10-7 in a dark zone from 2.0 to 4.8 λ/D (with 6.6×10-8 in selected regions). In this paper, we present these results, describe our methods, present an analysis of current limiting factors, and solutions to overcome them.…”
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Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction by Zheng, Yunhan, Wang, Qingyi, Zhuang, Dingyi, Wang, Shenhao, Zhao, Jinhua

“…When coupled with the bias-mitigation regularization, the de-biasing SA-Net effectively bridges the mean percentage prediction error (MPE) gap between the disadvantaged and privileged groups, and protects the disadvantaged regions against systematic underestimation of TNC demand. …”
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Search for CP violation in the phase space of $$ {D}^0\to {K}_S^0{K}^{\pm }{\pi}^{\mp } $$ decays with the energy test by Aaij, R., Abdelmotteleb, A. S. W., Abellan Beteta, C., Abudinén, F., Ackernley, T., Adeva, B., Adinolfi, M., Adlarson, P., Afsharnia, H., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., Alessio, F.

“…The method is validated using D0 → K−π+π−π+ and D 0 → K S 0 π + π − $$ {D}^0\to {K}_S^0{\pi}^{+}{\pi}^{-} $$ decays, where CP-violating effects are expected to be negligible, and using background-enhanced regions of the signal decays. The results are consistent with CP symmetry in both the D 0 → K S 0 K − π + $$ {D}^0\to {K}_S^0{K}^{-}{\pi}^{+} $$ and the D 0 → K S 0 K + π − $$ {D}^0\to {K}_S^0{K}^{+}{\pi}^{-} $$ decays, with p-values for the hypothesis of no CP violation of 70% and 66%, respectively.…”
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Design and Evaluation of an Automatic Scheduling-Manual Operation Tool to Bring Precision Irrigation to Resource-Constrained Farmers by Van de Zande, Georgia D, Sheline, Carolyn, Amrose, Susan, Costello, Jeffrey, Ghodgaonkar, Aditya, Grant, Fiona, Winter, Amos G

“…As populations increase and freshwater supplies decrease, adopting water- and energy-efficient irrigation practices is crucial, particularly in resource-constrained regions. Here, farmers are often unable to purchase the equipment used in precision irrigation, a practice that implements the automatic scheduling of irrigation events to achieve high efficiency. …”
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Radiatively cooled magnetic reconnection experiments driven by pulsed power by Datta, R., Chandler, K., Myers, C. E., Chittenden, J. P., Crilly, A. J., Aragon, C., Ampleford, D. J., Banasek, J. T., Edens, A., Fox, W. R., Hansen, S. B., Harding, E. C., Jennings, C. A., Ji, H., Kuranz, C. C., Lebedev, S. V., Looker, Q., Patel, S. G., Porwitzky, A., Shipley, G. A., Uzdensky, D. A., Yager-Elorriaga, D. A., Hare, J. D.

“…X-ray images also show localized hotspots, regions of strong x-ray emission, with velocities comparable to the expected outflow velocity from the reconnection layer. …”
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Landscape Water Storage and Subsurface Correlation from Satellite Surface Soil Moisture and Precipitation Observations by Short Gianotti, Daniel J., Salvucci, Guido D., Akbar, Ruzbeh, McColl, Kaighin A., Cuenca, Richard, Entekhabi, Dara

“…In all but the most arid regions, radiometric soil moisture retrievals provide more information about ecosystem-relevant water fluxes than satellite radiometers can explicitly “see”; lower-frequency radiometers are expected to provide still more statistical information about subsurface water dynamics.…”
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On paradoxical phenomena during evaporation and condensation between two parallel plates by Chen, Gang

“…In this paper, we combine interfacial conditions for mass and heat fluxes with continuum descriptions in the bulk regions of the vapor and the liquid phases to obtain a complete picture for the classical problem of evaporation and condensation between two parallel plates. …”
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A 35-Year Analysis of Vegetation Cover in Rare-Earth Mining Areas Using Landsat Data by Zheng, Zhubin, Liu, Yuqing, Chen, Na, Liu, Ge, Lei, Shaohua, Xu, Jie, Li, Jianzhong, Ren, Jingli, Huang, Chao

“…The findings indicate that (1) vegetation coverage in Dingnan County decreased from 1988 to 2002, followed by a gradual increase; (2) high vegetation cover is predominantly found in forested areas that maintain their natural state, while the central town and mining areas exhibit generally low coverage; (3) there are regional differences in the relationship between vegetation cover and environmental factors in Dingnan County. …”
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JWST sighting of decameter main-belt asteroids and view on meteorite sources by Burdanov, Artem Y., de Wit, Julien, Broz, Miroslav, Muller, Thomas G., Hoffmann, Tobias, Ferrais, Marin, Micheli, Marco, Jehin, Emmanuel, Parrott, Daniel, Hasler, Samantha N., Binzel, Richard P., Ducrot, Elsa, Kreidberg, Laura, Gillon, Michael, Greene, Thomas P., Grundy, Will M., Kareta, Theodore, Lagage, Pierre-Olivier, Moskovitz, Nicholas, Thirouin, Audrey, Thomas, Cristina A., Zieba, Sebastian

“…Through additional long-stare infrared observations, JWST is poised to serendipitously detect thousands of decameter-scale asteroids across the sky, probing individual asteroid families and the source regions of meteorites “in-situ”.…”
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Co-seismic ruptures of the 12 May 2008, Ms 8.0 Wenchuan earthquake, Sichuan : East–west crustal shortening on oblique, parallel thrusts along the eastern edge of Tibet by Liu-Zeng, J., Zhang, Z., Wen, L., Sun, J., Xing, X., Hu, G., Xu, Q., Zeng, L., Ding, L., Ji, C., Hudnut, K. W., van der Woerd, J., Tapponnier, Paul

“…This out-of-sequence event, with distributed surface breaks on crustal mega-thrusts, highlights regional, ~ EW-directed, present day crustal shortening oblique to the Longmen Shan margin of Tibet. …”
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The persuasion network is modulated by drug-use risk and predicts anti-drug message effectiveness by Huskey, Richard, Weber, René, Mangus, J. Michael, Turner, Benjamin O.

“…While a persuasion network has been proposed, little is known about how network connections between brain regions contribute to attitude change. Two possible mechanisms have been advanced. …”
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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure by Li, Tanghua, Wu, Patrick, Wang, Hansheng, Steffen, Holger, Khan, Nicole S., Engelhart, Simon E., Vacchi, Matteo, Shaw, Timothy Adam, Peltier, W. Richard, Horton, Benjamin Peter

“…The uncertainties of both these regions increase from 30 to 45 m between 15 and 11 ka BP, which may be due to the rapid decrease of surface loading at that time. …”
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Weighted-persistent-homology-based machine learning for RNA flexibility analysis by Pun, Chi Seng, Yong, Brandon Yung Sin, Xia, Kelin

“…In particular, we use local persistent homology (LPH) to focus on the topological information of local regions. Our WPHML model is validated on a well-established RNA dataset, and numerical experiments show that our model can achieve a PCC of up to 0.5822. …”
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