255 research outputs found

    Plasmid encoding matrix protein of vesicular stomatitis viruses as an antitumor agent inhibiting rat glioma growth in situ

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    Aim: Oncolytic effect of vesicular stomatitis virus (VSV) has been proved previously. Aim of the study is to investigate glioma inhibition effect of Matrix (M) protein of VSV in situ. Materials and Methods: A recombinant plasmid encoding VSV M protein (PM) was genetically engineered, and then transfected into cultured C6 gliomas cells in vitro. C6 transfected with Liposome-encapsulated PM (LEPM) was implanted intracranially for tumorigenicity study. In treatment experiment, rats were sequentially established intracranial gliomas with wild-typed C6 cells, and accepted LEPM injection intravenously. Possible mechanism of M protein was studied by using Hoechst staining, PI-stained flow cytometric analysis, TUNEL staining and CD31 staining. Results: M protein can induce generous gliomas lysis in vitro. None of the rats implanted with LEPM-treated cells developed any significant tumors, whereas all rats in control group developed tumors. In treatment experiment, smaller tumor volume and prolonged survival time was found in the LEPM-treated group. Histological studies revealed that possible mechanism were apoptosis and anti-angiogenesis. Conclusion: VSV-M protein can inhibit gliomas growth in vitro and in situ, which indicates such a potential novel biotherapeutic strategy for glioma treatment.ЦСль: ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ матриксного ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½Π° (М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½Π°) вируса вСзикулярного стоматита (Π’Π’Π‘) ΡƒΠ³Π½Π΅Ρ‚Π°Ρ‚ΡŒ рост Π³Π»ΠΈΠΎΠΌΡ‹ in situ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: сконструирована рСкомбинантная ΠΏΠ»Π°Π·ΠΌΠΈΠ΄Π°, ΠΊΠΎΠ΄ΠΈΡ€ΡƒΡŽΡ‰Π°Ρ М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ Π’Π’Π‘, которая Π·Π°Ρ‚Π΅ΠΌ Π±Ρ‹Π»Π° трансфСцирована Π² ΠΊΡƒΠ»ΡŒΡ‚ΠΈΠ²ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ Π³Π»ΠΈΠΎΠΌΡ‹ Π‘6 in. ΠšΠ»Π΅Ρ‚ΠΊΠΈ Π³Π»ΠΈΠΎΠΌΡ‹ Π‘6, трансфСцированныС инкапсулированным Π² липосомы М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ΠΎΠΌ (Π›Π˜ΠœΠŸ), ΠΈΠΌΠΏΠ»Π°Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π»ΠΈ ΠΈΠ½Ρ‚Ρ€Π°ΠΊΡ€Π°Π½ΠΈΠ°Π»ΡŒΠ½ΠΎ для изучСния туморогСнности. Π’ экспСримСнтС крысам с трансплантированной ΠΈΠ½Ρ‚Ρ€Π°ΠΊΡ€Π°Π½ΠΈΠ°Π»ΡŒΠ½ΠΎ Π³Π»ΠΈΠΎΠΌΠΎΠΉ Π‘6 (исходный ΡˆΡ‚Π°ΠΌΠΌ) Π²Π½ΡƒΡ‚Ρ€ΠΈΠ²Π΅Π½Π½ΠΎ Π²Π²ΠΎΠ΄ΠΈΠ»ΠΈ Π›Π˜ΠœΠŸ. АпоптотичСскоС дСйствиС М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½Π° Π½Π° ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Π΅ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ ΠΈΠ·ΡƒΡ‡Π°Π»ΠΈ с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ флуорСсцСнцСнтной микроскопии (ΠΎΠΊΡ€Π°ΡˆΠΈΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎ Π₯Схсту), ΠΏΡ€ΠΎΡ‚ΠΎΡ‡Π½ΠΎΠΉ Ρ†ΠΈΡ‚ΠΎΠΌΠ΅Ρ‚Ρ€ΠΈΠΈ (ΠΎΠΊΡ€Π°ΡˆΠΈΠ²Π°Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠΏΠΈΠ΄ΠΈΡƒΠΌΠΎΠΌ ΠΉΠΎΠ΄ΠΈΠ΄ΠΎΠΌ), TUNEL Π²Π°ΡΠΊΡƒΠ»ΡΡ€ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ гистологичСски ΠΈ Π²Π°ΡΠΊΡƒΠ»ΡΡ€ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ гистологичСски ΠΈ иммуногистохимичСски с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π°Π½Ρ‚ΠΈ-CD31 ΠΌΠΎΠ½ΠΎΠΊΠ»ΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π°Π½Ρ‚ΠΈΡ‚Π΅Π». 31 ΠΌΠΎΠ½ΠΎΠΊΠ»ΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π°Π½Ρ‚ΠΈΡ‚Π΅Π». 31 ΠΌΠΎΠ½ΠΎΠΊΠ»ΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π°Π½Ρ‚ΠΈΡ‚Π΅Π». Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠ½Π΄ΡƒΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ лизис ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π³Π»ΠΈΠΎΠΌΡ‹ in. Ни Ρƒ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΆΠΈΠ²ΠΎΡ‚Π½ΠΎΠ³ΠΎ с трансплантированными ΠΊΠ»Π΅Ρ‚ΠΊΠ°ΠΌΠΈ Π³Π»ΠΈΠΎΠΌΡ‹, ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹ΠΌΠΈ Π›Π˜ΠœΠŸ, Π½Π΅ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π»ΠΈ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ€Π°Π·ΠΌΠ΅Ρ€Π°, Ρ‚ΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ Ρƒ всСх крыс ΠΈΠ· ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Ρ€Π°Π·Π²ΠΈΠ²Π°Π»ΠΈΡΡŒ. Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ Π²Π²ΠΎΠ΄ΠΈΠ»ΠΈ Π›Π˜ΠœΠŸ, ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π±Ρ‹Π»ΠΈ мСньшСго объСма ΠΈ ΠΎΡ‚ΠΌΠ΅Ρ‡Π°Π»ΠΈ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΆΠΈΠ·Π½ΠΈ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…. Показано, Ρ‡Ρ‚ΠΎ М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ проявляСт Π°Π½Ρ‚ΠΈΠ°Π½Π³ΠΈΠΎΠ³Π΅Π½Π½Ρ‹Π΅ свойства ΠΈ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒΡŽ ΠΈΠ½Π΄ΡƒΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π°ΠΏΠΎΠΏΡ‚ΠΎΠ·. Π’Ρ‹Π²ΠΎΠ΄Ρ‹: М ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ Π’Π’Π‘ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ€ΡƒΠ΅Ρ‚ рост Π³Π»ΠΈΠΎΠΌΡ‹ in ΠΈ in. На этой основС ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ новая биотСрапСвтичСская стратСгия для лСчСния ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π³Π»ΠΈΠΎΠΌΠ°ΠΌΠΈ

    Bose-Einstein condensation in multilayers

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    The critical BEC temperature TcT_{c} of a non interacting boson gas in a layered structure like those of cuprate superconductors is shown to have a minimum Tc,mT_{c,m}, at a characteristic separation between planes ama_{m}. It is shown that for a<ama<a_{m}, TcT_{c} increases monotonically back up to the ideal Bose gas T0T_{0} suggesting that a reduction in the separation between planes, as happens when one increases the pressure in a cuprate, leads to an increase in the critical temperature. For finite plane separation and penetrability the specific heat as a function of temperature shows two novel crests connected by a ridge in addition to the well-known BEC peak at TcT_{c} associated with the 3D behavior of the gas. For completely impenetrable planes the model reduces to many disconnected infinite slabs for which just one hump survives becoming a peak only when the slab widths are infinite.Comment: Four pages, four figure

    Dynamic Properties of Purkinje Cells Having Different Electrophysiological Parameters: A Model Study

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    Simple spikes and complex spikes are two distinguishing features in neurons of the cerebellar cortex; the motor learning and memory processes are dependent on these firing patterns. In our research, the detailed firing behaviors of Purkinje cells were investigated using a computer compartmental neuronal model. By means of application of numerical stimuli, the abundant dynamical properties involved in the multifarious firing patterns, such as the Max-Min potentials of each spike and period-adding/period-doubling bifurcations, appeared. Neuronal interspike interval (ISI) diagrams, frequency diagrams, and current-voltage diagrams for different ions were plotted. Finally, Poincare mapping was used as a theoretical method to strongly distinguish timing of the above firing patterns. Our simulation results indicated that firing of Purkinje cells changes dynamically depending on different electrophysiological parameters of these neurons, and the respective properties may play significant roles in the formation of the mentioned characteristics of dynamical firings in the coding strategy for information processing and learning.ГСнСрація простих Ρ‚Π° складних ΠΏΠΎΡ‚Π΅Π½Ρ†Ρ–Π°Π»Ρ–Π² Π΄Ρ–Ρ— Ρ” спСцифіч- ною Π²Π»Π°ΡΡ‚ΠΈΠ²Ρ–ΡΡ‚ΡŽ Π½Π΅ΠΉΡ€ΠΎΠ½Ρ–Π² ΠΌΠΎΠ·ΠΎΡ‡ΠΊΠΎΠ²ΠΎΡ— ΠΊΠΎΡ€ΠΈ; ΠΌΠΎΡ‚ΠΎΡ€Π½Π΅ навчання Ρ– ΠΏΡ€ΠΎΡ†Π΅ си формування пам’яті Π·Π° Π»Π΅ΠΆΠ°Ρ‚ΡŒ Π²Ρ–Π΄ Π³Π΅Π½Π΅Ρ€Π°Ρ†Ρ–Ρ— Π΄Π°Π½ΠΈΡ… ΠΏΠ°Ρ‚Π΅Ρ€Π½Ρ–Π² розряду. Π’ Π½Π°ΡˆΡ–ΠΉ Ρ€ΠΎΠ±ΠΎΡ‚Ρ– ΠΌΠΈ ΠΏΡ€ΠΎΠ²Π΅Π»ΠΈΠ΄Π΅Ρ‚Π°Π»ΡŒΠ½Π΅ Π΄ΠΎ слідТСння ΠΏΡ€ΠΎΡ†Π΅ сів Π³Π΅Π½Π΅Ρ€Π°Ρ†Ρ–Ρ— Ρ–ΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΡ— активності ΠΊΠ»Ρ–Ρ‚ΠΈΠ½Π°ΠΌΠΈ ΠŸΡƒΡ€ΠΊΡ–Π½β€™Ρ” Π· використанням ΠΊΠΎΠΌΠΏΠ°Ρ€Ρ‚ΠΌΠ΅Π½Ρ‚Π½ΠΎΡ— (Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‡ΠΈ сому) ΠΌΠΎΠ΄Π΅Π»Ρ– Π½Π΅ΠΉΡ€ΠΎΠ½Π°. Π’ ΡƒΠΌΠΎΠ²Π°Ρ… прикладання ΠΎΡ†ΠΈΡ„Ρ€ΠΎΠ²Π°Π½ΠΈΡ… стимулів Ρƒ модСльованого Π½Π΅ΠΉΡ€ΠΎΠ½Π° проявлявся Π±Π°Π³Π°Ρ‚ΠΈΠΉ Π½Π°Π±Ρ–Ρ€ Π΄ΠΈΠ½Π°ΠΌΡ–Ρ‡Π½ΠΈΡ… властивостСй, Ρ‰ΠΎ Π·ΡƒΠΌΠΎΠ²Π»ΡŽΠ²Π°Π»ΠΎ Π³Π΅Π½Π΅Ρ€Π°Ρ†Ρ–ΡŽ Ρ€Ρ–Π·Π½ΠΎΠΌΠ°Π½Ρ–Ρ‚Π½ΠΈΡ… розрядних ΠΏΠ°Ρ‚Π΅Ρ€Π½Ρ–Π²; Ρ†Π΅ Π²Ρ–Π΄Π±ΠΈΠ²Π°Π»ΠΎ сь Ρƒ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π½ΠΈΡ… Π΄Ρ–Π°Π³Ρ€Π°ΠΌΠ°Ρ… ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡŒΠ½ΠΈΡ…/ΠΌΡ–Π½Ρ–ΠΌΠ°Π»ΡŒΠ½ΠΈΡ…ΠΏΠΎΡ‚Π΅Π½Ρ†Ρ–Π°Π»Ρ–Π² для ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΏΡ–ΠΊΡƒ Ρ‚Π° появі Π±Ρ–Ρ„ΡƒΡ€ΠΊΠ°Ρ†Ρ–ΠΉ Ρ–Π· Ρ„Π΅Π½ΠΎΠΌΠ΅Π½Π°ΠΌΠΈ додання Π°Π±ΠΎ подвоєння ΠΏΠ΅Ρ€Ρ–ΠΎΠ΄Ρ–Π². Π‘ΡƒΠ»ΠΈ ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²Π°Π½Ρ– Π΄Ρ–Π°Π³Ρ€Π°ΠΌΠΈ ΠΌΡ–ΠΆΡ–ΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΈΡ… Ρ–Π½Ρ‚Π΅Ρ€Π²Π°Π»Ρ–Π², Π·Π½Π°Ρ‡Π΅Π½ΡŒ частоти Ρ‚Π° залСТностСй струм–потСнціал для Ρ€Ρ–Π·Π½ΠΈΡ… Ρ–ΠΎΠ½Ρ–Π². ΠΠ°Ρ€Π΅ΡˆΡ‚Ρ–, ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²Π° ΠΌΠ°ΠΏ ΠŸΡƒΠ°Π½ΠΊΠ°Ρ€Π΅ Π±ΡƒΠ»Π° використана як Ρ‚Π΅ΠΎΡ€Π΅Ρ‚ΠΈΡ‡Π½ΠΈΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ для ΠΏΠ΅Ρ€Π΅ΠΊΠΎΠ½Π»ΠΈΠ²ΠΎΡ— Π΄ΠΈΡ„Π΅Ρ€Π΅Π½Ρ†Ρ–Π°Ρ†Ρ–Ρ— часових характСристик Π·Π°Π·Π½Π°Ρ‡Π΅Π½ΠΈΡ… Π²ΠΈΡ‰Π΅ розрядних ΠΏΠ°Ρ‚Π΅Ρ€Π½Ρ–Π². Π―ΠΊ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ нашого модСлювання, розрядна Π°ΠΊΡ‚ΠΈΠ²Π½Ρ–ΡΡ‚ΡŒ ΠΊΠ»Ρ–Ρ‚ΠΈΠ½ ΠŸΡƒΡ€ΠΊΡ–Π½β€™Ρ” Π΄ΠΈΠ½Π°ΠΌΡ–Ρ‡Π½ΠΎ Π·ΠΌΡ–Π½ΡŽΡ”Ρ‚ΡŒΡΡ Π·Π°Π»Π΅ΠΆΠ½ΠΎ Π²Ρ–Π΄ Π²Π°Ρ€Ρ–Π°Ρ†Ρ–Ρ— Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΡ„Ρ–Π·Ρ–ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½ΠΈΡ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ–Π² Ρ†ΠΈΡ… Π½Π΅ΠΉΡ€ΠΎΠ½Ρ–Π², Ρ– Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π½Ρ– властивості ΠΌΠΎΠΆΡƒΡ‚ΡŒ Π²Ρ–Π΄Ρ–Π³Ρ€Π°Π²Π°Ρ‚ΠΈ істотну Ρ€ΠΎΠ»ΡŒ Ρƒ Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— Π·Π³Π°Π΄Π°Π½ΠΈΡ… Π²ΠΈΡ‰Π΅ характСристик Π΄ΠΈΠ½Π°ΠΌΡ–Ρ‡Π½ΠΈΡ… розрядів, Ρ‰ΠΎ ΠΌΠ°ΡŽΡ‚ΡŒ Π²Ρ–Π΄Π½ΠΎΡˆΠ΅Π½Π½Ρ Π΄ΠΎ стратСгії кодування Π² ΠΏΠ΅Ρ€Π΅Π±Ρ–Π³Ρƒ ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— Ρ‚Π° процСсів навчання

    Relation between flux formation and pairing in doped antiferromagnets

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    We demonstrate that patterns formed by the current-current correlation function are landmarks which indicate that spin bipolarons form in doped antiferromagnets. Holes which constitute a spin bipolaron reside at opposite ends of a line (string) formed by the defects in the antiferromagnetic spin background. The string is relatively highly mobile, because the motion of a hole at its end does not raise extensively the number of defects, provided that the hole at the other end of the line follows along the same track. Appropriate coherent combinations of string states realize some irreducible representations of the point group C_4v. Creep of strings favors d- and p-wave states. Some more subtle processes decide the symmetry of pairing. The pattern of the current correlation function, that defines the structure of flux, emerges from motion of holes at string ends and coherence factors with which string states appear in the wave function of the bound state. Condensation of bipolarons and phase coherence between them puts to infinity the correlation length of the current correlation function and establishes the flux in the system.Comment: 5 pages, 6 figure

    Another Two Dark Energy Models Motivated from Karolyhazy Uncertainty Relation

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    The Kaˊ\acute{\text{a}}rolyhaˊ\acute{\text{a}}zy uncertainty relation indicates that there exists the minimal detectable cell Ξ΄t3\delta t^{3} over the region t3t^3 in Minkowski spacetime. Due to the energy-time uncertainty relation, the energy of the cell Ξ΄t3\delta t^3 can not be less Ξ΄tβˆ’1\delta t^{-1}. Then we get a new energy density of metric fluctuations of Minkowski spacetime as Ξ΄tβˆ’4\delta t^{-4}. Motivated by the energy density, we propose two new dark energy models. One model is characterized by the age of the universe and the other is characterized by the conformal age of the universe. We find that in the two models, the dark energy mimics a cosmological constant in the late time.Comment: 10 pages, 5 figures, References are adde

    DDW Order and its Role in the Phase Diagram of Extended Hubbard Models

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    We show in a mean-field calculation that phase diagrams remarkably similar to those recently proposed for the cuprates arise in simple microscopic models of interacting electrons near half-filling. The models are extended Hubbard models with nearest neighbor interaction and correlated hopping. The underdoped region of the phase diagram features dx2βˆ’y2d_{{x^2}-{y^2}} density-wave (DDW) order. In a certain regime of temperature and doping, DDW order coexists with antiferromagnetic (AF) order. For larger doping, it coexists with dx2βˆ’y2d_{{x^2}-{y^2}} superconductivity (DSC). While phase diagrams of this form are robust, they are not inevitable. For other reasonable values of the coupling constants, drastically different phase diagrams are obtained. We comment on implications for the cuprates.Comment: 7 pages, 3 figure

    Pinned Balseiro-Falicov Model of Tunneling and Photoemission in the Cuprates

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    The smooth evolution of the tunneling gap of Bi_2Sr_2CaCu_2O_8 with doping from a pseudogap state in the underdoped cuprates to a superconducting state at optimal and overdoping, has been interpreted as evidence that the pseudogap must be due to precursor pairing. We suggest an alternative explanation, that the smoothness reflects a hidden SO(N) symmetry near the (pi,0) points of the Brillouin zone (with N = 3, 4, 5, or 6). Because of this symmetry, the pseudogap could actually be due to any of a number of nesting instabilities, including charge or spin density waves or more exotic phases. We present a detailed analysis of this competition for one particular model: the pinned Balseiro-Falicov model of competing charge density wave and (s-wave) superconductivity. We show that most of the anomalous features of both tunneling and photoemission follow naturally from the model, including the smooth crossover, the general shape of the pseudogap phase diagram, the shrinking Fermi surface of the pseudogap phase, and the asymmetry of the tunneling gap away from optimal doping. Below T_c, the sharp peak at Delta_1 and the dip seen in the tunneling and photoemission near 2Delta_1 cannot be described in detail by this model, but we suggest a simple generalization to account for inhomogeneity, which does provide an adequate description. We show that it should be possible, with a combination of photoemission and tunneling, to demonstrate the extent of pinning of the Fermi level to the Van Hove singularity. A preliminary analysis of the data suggests pinning in the underdoped, but not in the overdoped regime.Comment: 18 pages LaTeX, 26 ps. figure

    The Narrative Frame of Daniel: A Literary Assessment

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    This paper presents a fuzzy multicriteria group decision making approach for evaluating and selecting information systems projects. The inherent subjectiveness and imprecision of the evaluation process is modeled by using linguistic terms characterized by triangular fuzzy numbers. A new algorithm based on the concept of the degree of dominance is developed to avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach
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