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- 13C-Metabolic Flux Analysis: An Accurate Approach to Demystify Microbial Metabolism for Biochemical ProductionGuo, Weihua; Sheng, Jiayuan; Feng, Xueyang (MDPI, 2015-12-25)Metabolic engineering of various industrial microorganisms to produce chemicals, fuels, and drugs has raised interest since it is environmentally friendly, sustainable, and independent of nonrenewable resources. However, microbial metabolism is so complex that only a few metabolic engineering efforts have been able to achieve a satisfactory yield, titer or productivity of the target chemicals for industrial commercialization. In order to overcome this challenge, 13C Metabolic Flux Analysis (13C-MFA) has been continuously developed and widely applied to rigorously investigate cell metabolism and quantify the carbon flux distribution in central metabolic pathways. In the past decade, many 13C-MFA studies have been performed in academic labs and biotechnology industries to pinpoint key issues related to microbe-based chemical production. Insightful information about the metabolic rewiring has been provided to guide the development of the appropriate metabolic engineering strategies for improving the biochemical production. In this review, we will introduce the basics of 13C-MFA and illustrate how 13C-MFA has been applied via integration with metabolic engineering to identify and tackle the rate-limiting steps in biochemical production for various host microorganisms
- The 2019 Conference on Health and Active Transportation: Research Needs and OpportunitiesBerrigan, David; Dannenberg, Andrew L.; Lee, Michelle; Rodgers, Kelly; Wojcik, Janet R.; Wali, Behram; Tribby, Calvin P.; Buehler, Ralph; Sallis, James F.; Roberts, Jennifer D.; Steedly, Ann; Peng, Binbin; Eisenberg, Yochai; Rodriguez, Daniel A. (MDPI, 2021-11-11)Active transportation (AT) is widely viewed as an important target for increasing participation in aerobic physical activity and improving health, while simultaneously addressing pollution and climate change through reductions in motor vehicular emissions. In recent years, progress in increasing AT has stalled in some countries and, furthermore, the coronavirus (COVID-19) pandemic has created new AT opportunities while also exposing the barriers and health inequities related to AT for some populations. This paper describes the results of the December 2019 Conference on Health and Active Transportation (CHAT) which brought together leaders from the transportation and health disciplines. Attendees charted a course for the future around three themes: Reflecting on Innovative Practices, Building Strategic Institutional Relationships, and Identifying Research Needs and Opportunities. This paper focuses on conclusions of the Research Needs and Opportunities theme. We present a conceptual model derived from the conference sessions that considers how economic and systems analysis, evaluation of emerging technologies and policies, efforts to address inclusivity, disparities and equity along with renewed attention to messaging and communication could contribute to overcoming barriers to development and use of AT infrastructure. Specific research gaps concerning these themes are presented. We further discuss the relevance of these themes considering the pandemic. Renewed efforts at research, dissemination and implementation are needed to achieve the potential health and environmental benefits of AT and to preserve positive changes associated with the pandemic while mitigating negative ones.
- The 2020 Indian Farm Laws in the Global Financial-Agritech Accumulation RegimeGill, Bikrum Singh (2021-10-31)Much of the popular analysis of the 2020 farmers protests in India identifies an “authoritarian” BJP government as the primary antagonistic force threatening the livelihoods of farmers in major grain producing states such as Punjab. This paper is motivated by concern that such a “methodologically nationalist” and “presentist” account risks obscuring more than it reveals regarding what is at stake in the contestations over the 2020 farm laws. It addresses these limitations by asking instead how the contestation over the farm laws renews the confrontation over the appropriation of the surplus value of the “agrarian South” that was set in motion by the rise of the neoliberal form of global capital accumulation in the late twentieth century. Locating the contemporary moment within the long history and broader geography of neoliberal capitalist imperialism brings to light the accumulation imperatives of global financial-agribusiness capital as key motive forces underpinning the farm laws. Attention is thus drawn in this paper to how the deepening of the privatization, liberalization, and financialization of agriculture in the Global South remains a key strategy for addressing global capital’s structural crises of over-production and over-accumulation. The paper argues that the intensification of neoliberal agrarian restructuring in India via the 2020 farm laws has opened further space for both a familiar mode of global agribusiness accumulation that aims to capture the surplus value of the real agricultural economy and for an emergent agritech mode of accumulation that is centered more on harvesting data in order to generate profits through financial speculation in the derivative agricultural economy. The paper concludes by emphasizing that the farmers movement is correct in contesting the farm laws, as the deepening of Indian agriculture’s integration into global capitalism threatens to render farmers into a category of permanently surplus labor.
- 2D and 3D Chromosome Painting in Malaria MosquitoesGeorge, Phillip; Sharma, Atashi; Sharakhov, Igor V. (Journal of Visualized Experiments, 2014-01-01)Fluorescent in situ hybridization (FISH) of whole arm chromosome probes is a robust technique for mapping genomic regions of interest, detecting chromosomal rearrangements, and studying three-dimensional (3D) organization of chromosomes in the cell nucleus. The advent of laser capture microdissection (LCM) and whole genome amplification (WGA) allows obtaining large quantities of DNA from single cells. The increased sensitivity of WGA kits prompted us to develop chromosome paints and to use them for exploring chromosome organization and evolution in non-model organisms. Here, we present a simple method for isolating and amplifying the euchromatic segments of single polytene chromosome arms from ovarian nurse cells of the African malaria mosquito Anopheles gambiae. This procedure provides an efficient platform for obtaining chromosome paints, while reducing the overall risk of introducing foreign DNA to the sample. The use of WGA allows for several rounds of re-amplification, resulting in high quantities of DNA that can be utilized for multiple experiments, including 2D and 3D FISH. We demonstrated that the developed chromosome paints can be successfully used to establish the correspondence between euchromatic portions of polytene and mitotic chromosome arms in An. gambiae. Overall, the union of LCM and single-chromosome WGA provides an efficient tool for creating significant amounts of target DNA for future cytogenetic and genomic studies.
- 2D Hierarchical Microbarcodes with Expanded Storage Capacity for Optical Multiplex and Information EncryptionWorch, Josh; Xie, Yujie; Tong, Zaizai; Rho, Julia; Dove, Andrew; O'Reilly, Rachel (2023-11-28)The design of nanosegregated fluorescent tags/barcodes by geometrical patterning with precise dimensions and hierarchies could integrate multilevel optical information within one carrier and enhance microsized barcoding techniques for ultrahigh-density optical data storage and encryption. However, precise control of the spatial distribution in micro/nanosized matrices intrinsically limits the accessible barcoding applications in terms of material design and construction. Here, crystallization forces are leveraged to enable a rapid, programmable molecular packing and rapid epitaxial growth of fluorescent units in 2D via crystallization-driven self-assembly. The fluorescence encoding density, scalability, information storage capacity, and decoding techniques of the robust 2D polymeric barcoding platform are explored systematically. These results provide both a theoretical and an experimental foundation for expanding the fluorescence storage capacity, which is a longstanding challenge in state-of-the-art microbarcoding techniques and establish a generalized and adaptable coding platform for high-throughput analysis and optical multiplexing.
- 2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the FieldPöhlmann, Katharina; Al-Taie, Ammar; Li, Gang; Dam, Abhraneil; Wang, Yu-Kai; Wei, Chun-Shu; Papaioannou, Georgios (ACM, 2023-09-18)The adoption of automated vehicles will be a positive step towards road safety and environmental benefits. However, one major challenge that still exist is motion sickness. The move from drivers to passengers who will engage in non-driving related tasks as well as the potential change in the layout of the car interior that will come with automated vehicles are expected to result in a worsened experience of motion sickness. The previous workshop [18] highlighted the need for consensus on guidelines regarding study design for motion sickness research. Hence, this workshop will develop a guide for motion sickness research through reflection and discussions on the current methodologies used by experts in the field. Further it will build on the knowledge collected from the previous workshop and will thereby facilitate not only new research ideas and fruitful collaborations but also find a consensus in the field in regard to study design and methodologies.
- 2nd Workshop on Uncertainty Reasoning and Quantification in Decision MakingZhao, Xujiang; Zhao, Chen; Chen, Feng; Cho, Jin-Hee; Chen, Haifeng (ACM, 2023-08-06)Uncertainty reasoning and quantification play a critical role in decision making across various domains, prompting increased attention from both academia and industry. As real-world applications become more complex and data-driven, effectively handling uncertainty becomes paramount for accurate and reliable decision making. This workshop focuses on the critical topics of uncertainty reasoning and quantification in decision making. It provides a platform for experts and researchers from diverse backgrounds to exchange ideas on cutting-edge techniques and challenges in this field. The interdisciplinary nature of uncertainty reasoning and quantification, spanning artificial intelligence, machine learning, statistics, risk analysis, and decision science, will be explored. The workshop aims to address the need for robust and interpretable methods for modeling and quantifying uncertainty, fostering reasoning decision-making in various domains. Participants will have the opportunity to share research findings and practical experiences, promoting collaboration and advancing decision-making practices under uncertainty.
- (2S,4R)-4-Fluoro-pyrrolidinium-2-carboxyl-ate.Hobart, David B. Jr.; Merola, Joseph S. (International Union of Crystallography, 2012-08-01)The crystal structure of the title compound, C(5)H(8)FNO(2), at 100 K, displays inter-molecular N-H⋯O hydrogen bonding between the ammonium and carboxyl-ate groups as a result of its zwitterionic nature in the solid state. The five-membered ring adopts an envelope conformation with the C atom at the 3-position as the flap. The compound is of inter-est with respect to the synthesis and structural properties of synthetic collagens. The absolute structure was determined by comparison with the commercially available material.
- 3,4-Dihydroxyphenylacetaldehyde synthase and cuticle formation in insectsLiao, Chenghong; Liang, Jing; Han, Qian; Li, Jianyong (2018-06-02)Cuticle is the most important structure that protects mosquitoes and other insect species from adverse environmental conditions and infections of microorganism. The physiology and biochemistry of insect cuticle formation have been studied for many years and our understanding of cuticle formation and hardening has increased considerably. This is especially true for flexible cuticle. The recent discovery of a novel enzyme that catalyzes the production of 3,4-dihydroxyphenylacetaldehyde (DOPAL) in insects provides intriguing insights concerning the flexible cuticle formation in insects. For convenience, the enzyme that catalyzes the production DOPAL from L-dopa is named DOPAL synthase. In this mini-review, we summarize the biochemical pathways of cuticle formation and hardening in general and discuss DOPAL synthase-mediated protein crosslinking in insect flexible cuticle in particular.
- A 3-D Finite-Element Minipig Model to Assess Brain Biomechanical Responses to Blast ExposureSundaramurthy, Aravind; Kote, Vivek Bhaskar; Pearson, Noah; Boiczyk, Gregory M.; McNeil, Elizabeth M.; Nelson, Allison J.; Subramaniam, Dhananjay Radhakrishnan; Rubio, Jose E.; Monson, Kenneth; Hardy, Warren N.; VandeVord, Pamela J.; Unnikrishnan, Ginu; Reifman, Jaques (Frontiers, 2021-12-17)Despite years of research, it is still unknown whether the interaction of explosion-induced blast waves with the head causes injury to the human brain. One way to fill this gap is to use animal models to establish “scaling laws” that project observed brain injuries in animals to humans. This requires laboratory experiments and high-fidelity mathematical models of the animal head to establish correlates between experimentally observed blast-induced brain injuries and model-predicted biomechanical responses. To this end, we performed laboratory experiments on Göttingen minipigs to develop and validate a three-dimensional (3-D) high-fidelity finite-element (FE) model of the minipig head. First, we performed laboratory experiments on Göttingen minipigs to obtain the geometry of the cerebral vasculature network and to characterize brain-tissue and vasculature material properties in response to high strain rates typical of blast exposures. Next, we used the detailed cerebral vasculature information and species-specific brain tissue and vasculature material properties to develop the 3-D high-fidelity FE model of the minipig head. Then, to validate the model predictions, we performed laboratory shock-tube experiments, where we exposed Göttingen minipigs to a blast overpressure of 210 kPa in a laboratory shock tube and compared brain pressures at two locations. We observed a good agreement between the model-predicted pressures and the experimental measurements, with differences in maximum pressure of less than 6%. Finally, to evaluate the influence of the cerebral vascular network on the biomechanical predictions, we performed simulations where we compared results of FE models with and without the vasculature. As expected, incorporation of the vasculature decreased brain strain but did not affect the predictions of brain pressure. However, we observed that inclusion of the cerebral vasculature in the model changed the strain distribution by as much as 100% in regions near the interface between the vasculature and the brain tissue, suggesting that the vasculature does not merely decrease the strain but causes drastic redistributions. This work will help establish correlates between observed brain injuries and predicted biomechanical responses in minipigs and facilitate the creation of scaling laws to infer potential injuries in the human brain due to exposure to blast waves.
- "33rd Balloon"Vollmer, Matthew (2016-07-22)
- 3D X-ray analysis of the subterranean burrowing depth and pupal chamber size of Laricobius (Coleoptera: Derodontidae), a specialist predator of Adelges tsugae (Hemiptera: Adelgidae)Hillen, Ashleigh P.; Foley, Jeremiah R.; Salcedo, Mary K.; Socha, John J.; Salom, Scott M. (Oxford University Press, 2023-05-01)The non-native hemlock woolly adelgid (HWA), Adelges tsugae Annand (Hemiptera: Adelgidae), has caused a significant decline of eastern hemlock, Tsuga canadensis L. (Pinales: Pinaceae), and Carolina hemlock, Tsuga caroliniana Engelmann (Pinales: Pinaceae), in eastern North America. Biological control of HWA has focused on the use of 2 Laricobius spp. (Coleoptera: Derodontidae), natural predators of HWA, which require arboreal and subterranean life phases to complete their development. In its subterranean phase, Laricobius spp. are subject to abiotic factors including soil compaction or soil-applied insecticides used to protect hemlock from HWA. This study used 3D X-ray microcomputed tomography (micro-CT) to identify the depth at which Laricobius spp. burrows during its subterranean lifecycle, characterize pupal chamber volume, and determine whether soil compaction had a significant effect on these variables. The mean burrowing depth in the soil of individuals was 27.0 mm ± 14.8 (SD) and 11.4 mm ± 11.8 (SD) at compaction levels of 0.36 and 0.54 g/ cm3, respectively. The mean pupal chamber volume was 11.15 mm3 ± 2.8 (SD) and 7.65 mm3 ± 3.5 (SD) in soil compacted at 0.36 and 0.54 g/cm3, respectively. These data show that soil compaction influences burrowing depth and pupal chamber size for Laricobius spp.This information will help us better identify the effect of soil-applied insecticide residues on estivating Laricobius spp. and soil-applied insecticide residues in the field. Additionally, these results demonstrate the utility of 3D micro-CT in assessing subterranean insect activity in future studies.
- 5-year follow-up of adolescents with social anxiety disorder: Current functioning during COVID-19Carlton, Corinne N.; Garcia, Katelyn M.; Honaker, Makayla; Richey, John A.; Ollendick, Thomas H. (Elsevier, 2023-04)The present study followed-up adolescents with social anxiety disorder (SAD) during the COVID-19 pandemic, approximately 5-years following their participation in an Attention Bias Modification Training (ABMT) program (Ollendick et al., 2019). The current study aimed to evaluate current functioning and quality of life (QoL) during the emerging adulthood period. Participants included 27 young adults who completed a randomized controlled trial of ABMT and were available for follow-up. Participants filled out self-report measures of QoL and functioning and underwent a clinical interview to assess current severity of social anxiety. Clinician-rated symptoms of SAD significantly decreased from post-treatment to 5-year follow-up. Additionally, results demonstrated that social anxiety severity was significantly related to poorer self-reported physical and psychological health as well as poorer functioning with regard to social distancing fears during COVID-19. Lastly, when evaluating change in symptoms over time, increases in social anxiety severity over a 5-year period significantly predicted worsened social distancing fears during COVID-19.
- A 52-Year-Old HIV-Positive Man with Abdominal PainMehmood, Tashfeen; Chua, Matt J.; Khasawneh, Faisal A. (Hindawi, 2015-01-01)
- 5th International Symposium on Focused UltrasoundAbounader, Roger; Abraham, Christopher; Adema, Gosse; Agrawal, Punit; Airan, Raag; Aleman, Dionne; Alexander, Phillip; Alkins, Ryan; Alnazeer, Moez; Altman, Michael; Aly, Amirah; Amaral, Joao G.; Amrahli, Maral; Amraoui, Sana; Andarawewa, Kumari; Andriyakhina, Yulia; Angstadt, Mary; Ankou, Bénédicte; Arias, Ana C.; Arvanitis, Costas; Asadnia, Kiana; Aubert, Isabelle; Aubry, Jean-Francois; Aubry, Jean-Francois; Aurup, Christian; Bader, Kenneth; Badr, Lena; Baek, Hongchae; Barbato, Gaetano; Beccaria, Kevin; Bellorofonte, Carlo; Benson, Lee; Bernus, Olivier; Berriet, Rémi; Bertolina, Jim; Beskin, Viktoriya; Bessière, Francis; Bethune, Allison; Bezzi, Mario; Bond, Aaron; Bonomo, Guido; Borowsky, Alexander; Borys, Nicolas; Böttcher, Joachim; Bouley, Donna; Bour, Pierre; Bourekas, Eric; Brenin, David; Brokman, Omer; Brosh, Inbar; Buckner, Andrew; Bullock, Timothy; Cafarelli, Andrea; Cahill, Jessica; Camarena, Francisco; Camelo-Piragua, Sandra; Campbell, Benjamin; Campbell, Fiona; Cannata, Jon; Canney, Michael; Carlson, Roy; Carneiro, Antonio; Carpentier, Alexandre; Catheline, Stefan; Cavin, Ian; Cesana, Claudio; Chabok, Hamid R.; Chamanara, Marzieh; Chang, Jin H.; Chang, Won S.; Changizi, Barbara; Chapelon, Jean Y.; Chaplin, Vandiver; Chapman, Martin; Chaudhary, Neeraj; Chaussy, Christian; Chen, Cherry; Chen, Johnny; Chen, Wohsing; Chen, Xiaoming; Chevalier, Philippe; Chiou, George; Chisholm, Alexander; Christofferson, Ivy; Chung, Hyun H.; Ciuti, Gastone; Clement, Gregory; Cooper, Mark; Corea, Joseph; Corso, Cristiano; Cosman, Josh; Coughlin, Dezba; Crake, Calum; Cunitz, Bryan; Curiel, Laura; Curley, Colleen T.; Czarnota, Gregory; Dababou, Susan; Dallapiazza, Robert; de Bever, Joshua; de Jager, Bram; de Ruiter, Joost; de Senneville, Baudouin D.; Deckers, Roel; Delattre, Jean-Yves; den Brok, Martijn; Dhanaliwala, Ali; Diodato, Alessandro; Dixon, Adam; Donner, Elizabeth; Downs, Matthew; Du, Zhongmin; Dubois, Rémi; Dupre, Aurelien; Eikelenboom, Dylan; Elias, W. J.; Ellens, Nicholas; Endre, Ruby; Eran, Ayelet; Erasmus, Hans-Peter; Everstine, Ashli; Farahani, Keyvan; Farrer, Alexis; Farry, Justin; Federau, Christian; Feng, Xue; Ferrer, Cyril; Ferrera, Vincent; Fishman, Paul; Foley, Jessica; Frenkel, Victor; Fütterer, Jurgen; Gach, H. M.; Gandhi, Dheeraj; Gertner, Michael; Goldsher, Dorit; Gorgone, Alessandro; Greillier, Paul; Griesenauer, Rebekah; Grissom, William; Grondin, Julien; Guha, Chandan; Gulati, Amitabh; Gullapalli, Rao; Guo, Sijia; Gupta, Samit; Gurm, Hitinder; Gwinn, Ryder; Hadley, Rock; Haïssaguerre, Michel; Hammoud, Dima; Hananel, Arik; Hargrove, Amelia; Hatch, Robert; Haworth, Kevin; Hazan, Eilon; He, Ye; Heemels, Maurice; Heerschap, Arend; Hilas, Elaine; Hoang-Xuan, Khe; Hocini, Mélèze; Hodaie, Mojgan; Hofmann, Denis; Holland, Christy; Hoogenboom, Martijn; Hopyan, Sevan; Hossack, John; Houdouin, Alexandre; Hsu, Po-Hung; Hu, Jim; Hurwitz, Mark; Huss, Diane; Hwang, Chang-il; Hwang, Joo H.; Idbaih, Ahmed; Ikeuchi, Masahiko; Ingham, Elizabeth; Ives, Kimberly; Izumi, Masashi; Jackson-Lewis, Vernice; Janát-Amsbury, Margit; Jang, Kee W.; Jedruszczuk, Kathleen; Jiménez-Gambín, Sergio; Jiménez, Noé; Johnson, Sara; Jonathan, Sumeeth; Joy, Joyce; Jung, Hyun H.; Jung, Na Y.; Kahn, Itamar; Kamimura, Hermes; Kamrava, Seyed K.; Kang, Jeeun; Kang, Kook J.; Kang, Soo Y.; Kao, Yi-tzu; Katti, Prateek; Kawasaki, Motohiro; Kaye, Elena; Keupp, Jochen; Kim, AeRang; Kim, Harry; Kim, Hyun-Chul; Kim, Hyuncheol; Kim, Hyungmin; Kim, Min S.; Kim, Namho; Kiyasu, Katsuhito; Kneepkens, Esther; Knopp, Michael; Kobus, Thiele; Koral, Korgun; Kreider, Wayne; Krishna, Vibhor; Krug, Roland; Krupa, Steve; Kuo, Chia-Chun; Kwiecinski, Wojciech; Lacoste, Romain; Lam, Heather; Lamberti-Pasculli, Maria; Lang, Brian; Larner, James; Larrabee, Zachary; Leach, J. K.; LeBlang, Suzanne; Leclercq, Delphine; Lee, Hak J.; Lee, Jong-Hwan; Lehericy, Stéphane; Leighton, Wan; Leung, Steven; Lewis, Bobbi; Lewis, Matthew; Li, Dawei; Linn, Sabine; Lipsman, Nir; Liu, Hao-Li; Liu, Jingfei; Lopes, M. B.; Lotz, Jeff; Lu, Xin; Lundt, Jonathan; Luo, Xi; Lustgarten, Lior; Lustig, Micheal; Macoskey, Jonathan; Madore, Bruno; Maev, Roman; Magat, Julie; Maimbourg, Guillaume; Maimon, Noam; Mainprize, Todd; Malayer, Jerry; Maples, Danny; Marquet, Fabrice; Marrocchio, Cristina; Marx, Mike; Mastorakos, Panagiotis; Mauri, Giovanni; McLean, Hailey; McMichael, John; Mead, Brian P.; Melodelima, David; Melot-Dusseau, Sandrine; Menciassi, Arianna; Merrill, Robb; Meyer, Joshua; Midiri, Massimo; Miga, Michael; Migliore, Ilaria G.; Miller, Eric; Minalga, Emilee; Moon, Hyungwon; Moore, David; Mourad, Pierre; Mouratidis, Petros; Mueller, Michael; Mugler, John; Muller, Sébastien; Namba, Hirofumi; Naor, Omer; Nassar, Maria; Nazai, Navid; Negron, Karina; Negussie, Ayele; Nguyen, Thai-Son; Nicolay, Klaas; Nikolaeva, Anastasia V.; Oetgen, Matthew; Olive, Kenneth; Olumolade, Oluyemi; Orsi, Franco; Owens, Gabe; Ozilgen, Arda; Padegimas, Linas; Palermo, Carmine; Pan, Chia-Hsin; Pandey, Aditya; Papadakis, Georgios; Park, Chang K.; Park, Sang M.; Parker, Jonathon; Parvizi, Mohammad H.; Pascal-Tenorio, Aurea; Patel, Janish; Patz, Sam; Payen, Thomas; Perich, Eloi; Pernot, Mathieu; Perol, David; Perry, James; Pillarisetty, Venu; Pioche, Mathieu; Pizzuto, Matthew; Plaksin, Michael; Plata, Juan; Price, Karl; Prince, Jessica; Przedborski, Serge; Quinones-Hinojosa, Alfredo; Ramachandran, Akhilesh; Ranjan, Ashish; Ravikumar, Vinod; Reichenbach, Juergen; Repasky, Elizabeth; Rezai, Ali; Ritter, Philippe; Rivoire, Michel; Rochman, Carrie; Rosenberg, Jarrett; Rosnitskiy, Pavel B.; Ruiz, Antonio; Sahgal, Arjun; Samiotaki, Gesthimani; Sanghvi, Narendra; Santin, Mathieu D.; Santos, Domiciano; Sasaki, Noboru; Sastra, Steve; Schade, George; Schall, Jeffrey; Schlesinger, Ilana; Schmitt, Paul; Schwaab, Julia; Scionti, Stephen; Scipione, Roberto; Scoarughi, Gian L.; Scott, Serena; Sebeke, Lukas; Seifabadi, Reza; Seo, Jai; Sesenoglu-Laird, Ozge; Shah, Binit; Shahriari, Kian; Shaikh, Sumbul; Shea, Jill; Shi, Jiaqi; Shim, Jenny; Shinkov, Alexander; Shuman, Jillian; Silvestrini, Matthew; Sim, Changbeom; Sin, Vivian; Sinai, Alon; Singh, Manoj; Sinilshchikov, Ilya; Skalina, Karin; Slingluff, Craig; So, Po-Wah; Solomon, Stephen; Son, Keon H.; Sperling, Scott; Stein, Ruben; Stein, Sherman; Stevens, Aaron; Stimec, Jennifer; Storm, Gert; Straube, William; Suelmann, Britt; Sutton, Jonathan; Svedin, Bryant; Takemasa, Ryuichi; Takiguchi, Mitsuyoshi; Tam, Emily; Tan, Jeremy; Tang, Xinyan; Tanter, Mickael; Tebebi, Pamela; Tehrani, Seruz; Temple, Michael; Teofilovic, Dejan; ter Haar, Gail; Terzi, Marina E.; Thueroff, Stefan; Timbie, Kelsie; Tognarelli, Selene; Tretbar, Steffen; Trudeau, Maureen; Tsai, Yi-Chieh; Tsysar, Sergey A.; Tucci, Samantha; Tuveson, David; Ushida, Takahiro; Vaessen, Paul; Vaillant, Fanny; Van Arsdell, Glen; van Breugel, Johanna; Van der Jeugd, Anneke; Van der Jeugd, Anneke; Van der Wall, Elsken; van Diest, Paul; van Stralen, Marijn; Varano, Gianluca; Velat, Manuela; Vidal-Jove, Joan; Vigna, Paolo D.; Vignot, Alexandre; Vincenot, Jeremy; Vykhodtseva, Natalia; Wang, Bin; Wang, Han; Wang, Kevin; Wang, Qi; Wang, Qingguo; Wang, Shengping; Wang, Yak-Nam; Wang, Zhaorui; Wardlow, Rachel; Warren, Amy; Waszczak, Barbara; Watson, Katherine; Webb, Taylor; Wei-Bin, Shen; Wei, Kuo-Chen; Weiss, Steffen; Weissler, Yoni; Werner, Beat; Wesseling, Pieter; Williams, Noelle; Wilson, Emmanuel; Wintermark, Max; Witkamp, Arjen; Wong, Carlos; Wu, Jing-Fu; Wydra, Adrian; Xu, Alexis; Xu, Doudou; Xu, Su; Yang, Georgiana; Yang, Nai-Yi; Yao, Chen; Yarowsky, Paul; Ye, Patrick P.; Yuldashev, Petr; Zaaroor, Menashe; Zachiu, Cornel; Zahos, Peter; Zangos, Stephan; Zhang, Dandan; Zhang, Hua; Zhang, Jimin; Zhang, Junhai; Zhang, Xi; Zhao, Li; Zhong, Pei; Zhuo, Jiachen; Zidowitz, Stephan; Zinke, Wolf; Zorgani, Ali (2016-11-21)
- 6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research RoadmapImoize, Agbotiname Lucky; Adedeji, Oluwadara; Tandiya, Nistha; Shetty, Sachin (MDPI, 2021-03-02)The 5G wireless communication network is currently faced with the challenge of limited data speed exacerbated by the proliferation of billions of data-intensive applications. To address this problem, researchers are developing cutting-edge technologies for the envisioned 6G wireless communication standards to satisfy the escalating wireless services demands. Though some of the candidate technologies in the 5G standards will apply to 6G wireless networks, key disruptive technologies that will guarantee the desired quality of physical experience to achieve ubiquitous wireless connectivity are expected in 6G. This article first provides a foundational background on the evolution of different wireless communication standards to have a proper insight into the vision and requirements of 6G. Second, we provide a panoramic view of the enabling technologies proposed to facilitate 6G and introduce emerging 6G applications such as multi-sensory–extended reality, digital replica, and more. Next, the technology-driven challenges, social, psychological, health and commercialization issues posed to actualizing 6G, and the probable solutions to tackle these challenges are discussed extensively. Additionally, we present new use cases of the 6G technology in agriculture, education, media and entertainment, logistics and transportation, and tourism. Furthermore, we discuss the multi-faceted communication capabilities of 6G that will contribute significantly to global sustainability and how 6G will bring about a dramatic change in the business arena. Finally, we highlight the research trends, open research issues, and key take-away lessons for future research exploration in 6G wireless communication.
- 7.0-T Magnetic Resonance Imaging Characterization of Acute Blood-Brain-Barrier Disruption Achieved with Intracranial Irreversible ElectroporationGarcia, Paulo A.; Rossmeisl, John H. Jr.; Robertson, John L.; Olson, JohnD.; Johnson, Annette J.; Ellis, Thomas L.; Davalos, Rafael V. (PLOS, 2012-11-30)The blood-brain-barrier (BBB) presents a significant obstacle to the delivery of systemically administered chemotherapeutics for the treatment of brain cancer. Irreversible electroporation (IRE) is an emerging technology that uses pulsed electric fields for the non-thermal ablation of tumors. We hypothesized that there is a minimal electric field at which BBB disruption occurs surrounding an IRE-induced zone of ablation and that this transient response can be measured using gadolinium (Gd) uptake as a surrogate marker for BBB disruption. The study was performed in a Good Laboratory Practices (GLP) compliant facility and had Institutional Animal Care and Use Committee (IACUC) approval. IRE ablations were performed in vivo in normal rat brain (n = 21) with 1-mm electrodes (0.45 mm diameter) separated by an edge-to-edge distance of 4 mm. We used an ECM830 pulse generator to deliver ninety 50-ms pulse treatments (0, 200, 400, 600, 800, and 1000 V/cm) at 1 Hz. The effects of applied electric fields and timing of Gd administration (25, +5, +15, and +30 min) was assessed by systematically characterizing IRE-induced regions of cell death and BBB disruption with 7.0-T magnetic resonance imaging (MRI) and histopathologic evaluations. Statistical analysis on the effect of applied electric field and Gd timing was conducted via Fit of Least Squares with a = 0.05 and linear regression analysis. The focal nature of IRE treatment was confirmed with 3D MRI reconstructions with linear correlations between volume of ablation and electric field. Our results also demonstrated that IRE is an ablation technique that kills brain tissue in a focal manner depicted by MRI (n = 16) and transiently disrupts the BBB adjacent to the ablated area in a voltage-dependent manner as seen with Evan’s Blue (n = 5) and Gd administration.
- The 750 GeV diphoton excess in unified SU(2)(L) x SU(2)(R) x SU(4) models from noncommutative geometryAydemir, U.; Minic, Djordje; Sun, C.; Takeuchi, Tatsu (World Scientific, 2016-06-14)
- A Camelid-Derived STAT-Specific Nanobody Inhibits Neuroinflammation and Ameliorates Experimental Autoimmune Encephalomyelitis (EAE)Mbanefo, Evaristus C.; Seifert, Allison; Yadav, Manoj Kumar; Yu, Cheng-Rong; Nagarajan, Vijayaraj; Parihar, Ashutosh; Singh, Sunanda; Egwuagu, Charles E. (MDPI, 2024-06-16)Proinflammatory T-lymphocytes recruited into the brain and spinal cord mediate multiple sclerosis (MS) and currently there is no cure for MS. IFN-γ-producing Th1 cells induce ascending paralysis in the spinal cord while IL-17-producing Th17 cells mediate cerebellar ataxia. STAT1 and STAT3 are required for Th1 and Th17 development, respectively, and the simultaneous targeting of STAT1 and STAT3 pathways is therefore a potential therapeutic strategy for suppressing disease in the spinal cord and brain. However, the pharmacological targeting of STAT1 and STAT3 presents significant challenges because of their intracellular localization. We have developed a STAT-specific single-domain nanobody (SBT-100) derived from camelids that targets conserved residues in Src homolog 2 (SH2) domains of STAT1 and STAT3. This study investigated whether SBT-100 could suppress experimental autoimmune encephalomyelitis (EAE), a mouse model of MS. We show that SBT-100 ameliorates encephalomyelitis through suppressing the expansion of Th17 and Th1 cells in the brain and spinal cord. Adoptive transfer experiments revealed that lymphocytes from SBT-100-treated EAE mice have reduced capacity to induce EAE, indicating that the immunosuppressive effects derived from the direct suppression of encephalitogenic T-cells. The small size of SBT-100 makes this STAT-specific nanobody a promising immunotherapy for CNS autoimmune diseases, including multiple sclerosis.
- A machine-learning approach for differentiating borderline personality disorder from community participants with brain-wide functional connectivityLahnakoski, Juha M.; Nolte, Tobias; Solway, Alec; Vilares, Iris; Hula, Andreas; Feigenbaum, Janet; Lohrenz, Terry; Casas, Brooks; Fonagy, Peter; Montague, P. Read; Schilbach, Leonhard (Elsevier, 2024-05-26)Background: Functional connectivity has garnered interest as a potential biomarker of psychiatric disorders including borderline personality disorder (BPD). However, small sample sizes and lack of within-study replications have led to divergent findings with no clear spatial foci. Aims: Evaluate discriminative performance and generalizability of functional connectivity markers for BPD. Method: Whole-brain fMRI resting state functional connectivity in matched subsamples of 116 BPD and 72 control individuals defined by three grouping strategies. We predicted BPD status using classifiers with repeated cross-validation based on multiscale functional connectivity within and between regions of interest (ROIs) covering the whole brain—global ROI-based network, seed-based ROI-connectivity, functional consistency, and voxel-to-voxel connectivity—and evaluated the generalizability of the classification in the left-out portion of non-matched data. Results: Full-brain connectivity allowed classification (∼70 %) of BPD patients vs. controls in matched inner cross-validation. The classification remained significant when applied to unmatched out-of-sample data (∼61–70 %). Highest seed-based accuracies were in a similar range to global accuracies (∼70–75 %), but spatially more specific. The most discriminative seed regions included midline, temporal and somatomotor regions. Univariate connectivity values were not predictive of BPD after multiple comparison corrections, but weak local effects coincided with the most discriminative seed-ROIs. Highest accuracies were achieved with a full clinical interview while self-report results remained at chance level. Limitations: The accuracies vary considerably between random sub-samples of the population, global signal and covariates limiting the practical applicability. Conclusions: Spatially distributed functional connectivity patterns are moderately predictive of BPD despite heterogeneity of the patient population.