45,117 research outputs found
Volumetric spatial behaviour in rats reveals the anisotropic organisation of navigation: summary dataset and analysis package
No full textSummary dataset (in Matlab table format) and analysis codes (Matlab .m files) for Jedidi-Ayoub, S., Mishchanchuk, K., Liu, A., Renaudineau, S., Duvelle, E. and Grieves, R.M. (2020) Volumetric spatial behaviour in rats reveals the anisotropic organisation of navigation, Animal Cognition. The methods used to collect the data can be found in this paper.
Data are provided in a summarised format in the posdata.mat file. Each row of this file represents a session. The script 'lattice_behaviour_main.m' performs two functions, first it can run through every row of this table and analyse the data/add information to the table. Second, it can produce the main figures used in the paper given this table.
https://doi.org/10.1007/s10071-020-01432-
The impact of process sequences on pollutant removal efficiencies in tannery wastewater treatment
No full textA laboratory-scale study was conducted to determine the removal efficiencies of nine contaminants from a tannery wastewater using a number of physicochemical processes. Coagulation-flocculation using bittern as coagulant, oxidation-utilizing ozone, and adsorption using activated carbon were applied separately and in different sequences. Jar tests were utilized to conduct the experimental work. Except for arsenic, the highest removal efficiencies were recorded when coagulation-flocculation was conducted on the alkalized samples using a bittern dose of 5 mL-L. Activated carbon adsorption improved removal efficiencies of several contaminants. The coagulation- flocculation-adsorption sequence using the optimum dose of 5 mL-L of bittern resulted in high removal efficiencies for total suspended solids (TSS) (97percent± 1), apparent color (100percent±0), turbidity (97percent±1), total nitrogen (86percent±1), and chromium (100percent±0). On the other hand, the same sequence resulted in moderate removal efficiencies for chemical oxygen demand (COD) (72percent±7) and total phosphorus (74percent±5) and relatively low removals for biochemical oxygen demand (BOD) (55percent±10) and arsenic (42percent ±14). The removal efficiencies for the different tested sequences demonstrated that each sequence did improve the removal efficiencies for most of the parameters tested and consequently, the quality of tannery effluent. However, no single optimum sequence was capable of attaining high removal efficiencies for all nine parameters. © 2012 Springer Science+Business Media Dordrecht.Aber S, 2010, CHEM ENG J, V162, P127, DOI 10.1016-j.cej.2010.05.012; Ahn DH, 1999, PROCESS BIOCHEM, V34, P429, DOI 10.1016-S0032-9592(98)00111-3; American Public Health Association (APHA), 2005, STAND METH EX WAT WA; Apaydin O, 2009, GLOBAL NEST J, V11, P546; Ates E, 1997, WATER SCI TECHNOL, V36, P217, DOI 10.1016-S0273-1223(97)00390-9; Ayoub G. M., 2001, INT J ENVIRON STUD, V58, P85; Ayoub GM, 2000, WATER RES, V34, P640, DOI 10.1016-S0043-1354(99)00162-1; Ayoub GM, 2001, J ENVIRON ENG-ASCE, V127, P196, DOI 10.1061-(ASCE)0733-9372(2001)127:3(196); Ayoub GM, 2011, DESALINATION, V273, P359, DOI 10.1016-j.desal.2011.01.045; Ayoub GM, 1999, WATER ENVIRON RES, V71, P443, DOI 10.2175-106143097X122031; Bes-Pia A, 2008, DESALINATION, V221, P225, DOI 10.1016-j.desal.2007.01.079; Blanco J, 2012, DESALINATION, V286, P394, DOI 10.1016-j.desal.2011.11.055; Bodalo A, 2005, DESALINATION, V180, P277, DOI 10.1016-j.desal.2005.02.008; Dantas Tirzha Lins Porto, 2003, Acta Scientiarum Technology, V25, P91; Deepali K. 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S. Environmental Protection Agency (USEPA), 1997, FED GUID STAT LOC PR, V2; Vidal G, 2004, WATER SCI TECHNOL, V49, P287; Vlyssides AG, 1997, ENVIRON POLLUT, V97, P147, DOI 10.1016-S0269-7491(97)00062-611
Chilled ceiling and displacement ventilation system for energy savings: A case study
No full textThis paper studies the design and performance of cooled ceiling and displacement ventilation (CC-DV) systems application for buildings in Beirut for the purpose of saving energy. The transient thermal response of spaces cooled by the combined CC-DV system is needed for performance assessment. For that reason, the plume-multi-layer model of CC-DV cooled spaces is extended to transient applications. A design procedure for the combined CC-DV system in Beirut humid climate and buildings is developed to insure that both indoor air quality and comfort are satisfied within the conditioned zone. The contribution of the proposed procedure is that it guarantees that the stratification height (occupied zone) is at 1.1 m taking into consideration the plumes from internal sources and non-isothermal walls. The design procedure is applied to a case study in Beirut to design a system for a typical office space at 85 W m-2 sensible cooling load. The CC-DV system size is compared with the size of a conventional mixed convection system. It is found that the size of the CC-DV system is 10.2 kW compared to conventional system size of 7.9 and 13.4 kW at the 30 and 100percent fresh air supply, respectively. For the same indoor air quality and thermal comfort level, the CC-DV system consumed 21percent less cooling energy than the conventional 100percent fresh air system over the cooling season. The initial cost of the CC-DV system is higher, but the pay back period based on transient operation is less than 5 yr. Copyright © 2006 John Wiley andamp; Sons, Ltd.ASHRAE, 2005, ASHRAE HDB FUND; AYOUB M, 2006, ASHRAE INT J HVAC R, V12, P57; Behne M, 1999, ENERG BUILDINGS, V30, P155, DOI 10.1016-S0378-7788(98)00083-8; Chedid R, 2001, INT J ENERG RES, V25, P355, DOI 10.1002-er.688; Fanger PO, 1982, THERMAL COMFORT ANAL, P156; *FLUENT INC, 2002, AIRP 2 1 COMP FLUID; Ghaddar N., 1998, INT J ENERG RES, V32, P523; JIANG Z, 1992, ASHRAE TRAN, V98, P33; KILKIS B, 1990, SOLAR ENERGY DIVISIO, P1; MUNDT E, 2003, THESIS ROYAL I TECHN; Novoselac A, 2002, ENERG BUILDINGS, V34, P497, DOI 10.1016-S0378-7788(01)00134-7; Rees SJ, 2001, BUILD ENVIRON, V36, P753, DOI 10.1016-S0360-1323(00)00067-6; Tan H., 1998, P ROOMV 98, V1, P77; *U WISC MAD SOL EN, 2004, TRNSYS TRANS SIM PRO; Yuan X, 2001, ASHRAE T, V4101, P7816171
Adsorption of arsenate on untreated dolomite powder
No full textRaw dolomite powder was evaluated for its efficiency in adsorbing As(V) from water. An experimental setup comprised of a fluidized dolomite powder bed was used to assess the impact of various test variables on the efficiency of removal of As(V). Test influents including distilled water (DW), synthetic groundwater (SGW) and filtered sewage effluent (FSE) were employed to assess the effect of influent parameters on the adsorption process and the quality of the effluent generated. Dolomite exhibited good As(V) removal levels for distilled water (92percent) and synthetic ground water (84percent) influents at all initial As(V) concentrations tested (0.055-0.600 ppm). Breakthrough of dolomite bed occurred after 45 bed volumes for DW and 20 bed volumes for SGW influents with complete breakthrough taking place at more than 300 bed volumes. As(V) removal from FSE influents was relatively unsuccessful as compared to the DW and SGW influents. Partial removal in the order of 32percent from filtered sewage effluent at initial concentration of 0.6 mg-L started at 75 bed volumes and gradually stopped at 165 bed volumes. Varying degrees of As(V) adsorption capacities were observed by the different test influents employed, which indicate that the adsorption of As(V) is adversely affected by competing species, mainly sulfates and phosphates present in the influent. The adsorptive behavior of dolomite was described by fitting data generated from the study into the Langmuir and Freundlich isotherm models. Both models described well the adsorption of dolomite. The average isotherm adsorptive capacity was determined at 5.02 μg-g. Regeneration of the dolomite bed can be achieved with the use of caustic soda solution at a pH of 10.5. © 2007 Elsevier B.V. All rights reserved.Ahn JS, 2003, WATER RES, V37, P2478, DOI 10.1016-S0043-1354(02)00637-1; American Public Health Association (APHA), 1999, STAND METH EX WAT WA; *ASTM, 2000, STAND TEST METH PART; Ayoub GM, 2001, WATER ENVIRON RES, V73, P478, DOI 10.2175-106143001X139533; Ayoub GM, 2006, WATER ENVIRON RES, V78, P353, DOI 10.2175-106143005X90001; CLIFFORD DA, 1998, P 3 INT C ARS EXP HL; DeMarco MJ, 2003, WATER RES, V37, P164, DOI 10.1016-S0043-1354(02)00238-5; Genc H, 2003, J PHYS IV, V107, P537, DOI 10.1051-jp4:20030359; Genc H, 2003, J COLLOID INTERF SCI, V264, P327, DOI 10.1016-S0021-9797(03)00447-8; Genc-Fuhrman H, 2004, ENVIRON SCI TECHNOL, V38, P2428, DOI 10.1021-es035207h; Genc-Fuhrman H, 2004, J COLLOID INTERF SCI, V271, P313, DOI 10.1016-j.jcis.2003.10.011; HADDAD F, 1990, THESIS U BEIRUT LEBA; HERING JG, 2002, ENV CHEM ARSENIC, P167; Joshi A, 1996, J ENVIRON ENG-ASCE, V122, P769, DOI 10.1061-(ASCE)0733-9372(1996)122:8(769); KALINIAN H, 1991, THESIS AM U BERIUT; KARSCHUNKE K, 2000, P 26 WEDC C DHAK BAN, P221; Katsoyiannis IA, 2004, WATER RES, V38, P17, DOI 10.1016-j.watres.2003.09.011; Khan AH, 2000, J ENVIRON SCI HEAL A, V35, P1021; Lakshmipathiraj P, 2006, J HAZARD MATER, V136, P281, DOI 10.1016-j.jhazmat.2005.12.015; MCCAULOU DR, 1994, J CONTAM HYDROL, V15; Mc-Ghee T.J., 1991, WATER SUPPLY SEWERAG; Mokashi SA, 2002, LETT APPL MICROBIOL, V34, P258, DOI 10.1046-j.1472-765x.2002.01083.x; MURCOTT S, 1999, ARS BANGL GROUND WAT; NOKOLAIDIS NP, 2003, WATER RES, V37, P1417; Petrusevski B, 2002, WA SCI TECHNOL, V2, P127; POKHREL D, 2005, RADIOACTIVE WASTE MA, V9, P152; Pokrovsky OS, 1999, GEOCHIM COSMOCHIM AC, V63, P3133, DOI 10.1016-S0016-7037(99)00240-9; Ramaswami A, 2001, WATER RES, V35, P4474, DOI 10.1016-S0043-1354(01)00168-3; Selvin N, 2002, WA SCI TECHNOL, V2, P11; Smith E, 2002, J ENVIRON QUAL, V31, P557; SUBRAMANIAN KS, 1996, P 1995 WAT QUAL TECH, P1063; Thirunavukkarasu O. S., 2002, URBAN WATER, V4, P415, DOI 10.1016-S1462-0758(02)00029-8; Thirunavukkarasu OS, 2003, WATER AIR SOIL POLL, V142, P95, DOI 10.1023-A:1022073721853; Thirunavkukkarasu OS, 2001, WATER QUAL RES J CAN, V36, P55; Vaishya RC, 2003, J WATER SUPPLY RES T, V52, P299; Viraraghavan T, 1999, WATER SCI TECHNOL, V40, P69, DOI 10.1016-S0273-1223(99)00432-1; *WHO, 2001, 224 ENV HLTH CRIT; Wilkie JA, 1996, COLLOID SURFACE A, V107, P97, DOI 10.1016-0927-7757(95)03368-8; ZALDIVAR R, 1974, BEITR PATHOL, V151, P38467
Measurement of the ratio of branching fractions B(B0→K∗0γ )/B(B0s→φγ ) and the directCP asymmetry inB 0→K∗0γ
No full textThe ratio of branching fractions of the radiative B decays B0→K⁎0γ and B0s→ϕγ has been measured using an integrated luminosity of 1.0 fb−1 of pp collision data collected by the LHCb experiment at a centre-of-mass energy of s√=7TeV. The value obtained is
B(B0→K⁎0γ)B(B0s→ϕγ)=1.23±0.06(stat.)±0.04(syst.)±0.10(fs/fd),
where the first uncertainty is statistical, the second is the experimental systematic uncertainty and the third is associated with the ratio of fragmentation fractions fs/fd. Using the world average value for B(B0→K⁎0γ), the branching fraction B(B0s→ϕγ) is measured to be (3.5±0.4)×10−5.
The direct CP asymmetry in B0→K⁎0γ decays has also been measured with the same data and found to be
ACP(B0→K⁎0γ)=(0.8±1.7(stat.)±0.9(syst.))%.
Both measurements are the most precise to date and are in agreement with the previous experimental results and theoretical expectations
Post treatment of tannery wastewater using lime/bittern coagulation and activated carbon adsorption
No full textThe use of lime, bittern and activated carbon were evaluated in the post treatment of tannery wastewater effluent, collected from an existing tannery, after being subjected to medium sized screening and micro-screening. Effluent from an existing tannery was used as the test medium. Jar tests were conducted after raising the pH of the medium to 11.3 ± 0.1 by injecting 5percent w-v lime slurry followed by the addition of different doses of bittern as a coagulant. The characteristics of the influent and effluent after the chemical treatment were determined. The clarified effluent was then passed through an activated carbon adsorption column and the various constituents of the effluent were re-measured. The results indicate very good removals of total suspended solids (TSS) (97percent), apparent color and turbidity (99percent), total phosphorus (87percent), and chromium (99.7percent). Good removals were also attained for chemical oxygen demand (COD) (71percent) and biochemical oxygen demand (BOD) (57percent). The addition of lime and bittern increased concentrations of total dissolved solids (TDS) and conductivity by 30percent and 36percent, respectively. Low arsenic removal was recorded in the range of 56percent as a result of combined coagulation with lime, bittern, and activated carbon adsorption. Comparison of coagulation process using bittern, aluminum sulfate and ferric chloride indicated that the three coagulants operate equally well when applied at their optimal pH values. © 2011 Elsevier B.V.American Public Health Association (APHA), 2005, STAND METH EX WAT WA; Ayoub GM, 2000, WATER RES, V34, P640, DOI 10.1016-S0043-1354(99)00162-1; Ayoub GM, 1999, WATER ENVIRON RES, V71, P443, DOI 10.2175-106143097X122031; AYOUB GM, 2000, J ENV STUD, V58, P85; Di Iaconi C, 2002, WATER RES, V36, P2205; Haydar S, 2009, J HAZARD MATER, V163, P1076, DOI 10.1016-j.jhazmat.2008.07.074; Haydar S, 2009, WATER SCI TECHNOL, V59, P381, DOI 10.2166-wst.2009.864; RASOAZANANY EO, 2007, HEP MAD 07 INT C ANT; Ros M, 1998, WATER SCI TECHNOL, V37, P145, DOI 10.1016-S0273-1223(98)00245-5; Ryu HD, 2007, ENVIRON ENG SCI, V24, P394, DOI 10.1089-ees.2006.0095; SEMERJIAN L, 2003, ADV ENVIRON RES, V7, P3; Song Z, 2004, DESALINATION, V164, P249, DOI 10.1016-S0011-9164(04)00193-6; Song Z, 2001, PROCESS SAF ENVIRON, V79, P23, DOI 10.1205-095758201531103; Song Z., 2002, Resource and Environmental Biotechnology, V3, P203; Song Z, 2000, WATER RES, V34, P2171, DOI 10.1016-S0043-1354(99)00358-9; Szpyrkowicz L, 2005, WATER RES, V39, P1601, DOI 10.1016-j.watres.2005.01.016; Tahir SS, 2007, SEP PURIF TECHNOL, V53, P312, DOI 10.1016-j.seppur.2006.08.008; Tariq SR, 2005, J HAZARD MATER, V122, P17, DOI 10.1016-j.jhazmat.2005.03.017; TARIQ SR, 2006, THESIS U ISLAMABAD P; Tiravanti G, 1997, WATER SCI TECHNOL, V36, P197, DOI 10.1016-S0273-1223(97)00388-0; Vijayaraghavan K, 1997, BIOPROCESS ENG, V16, P151, DOI 10.1007-s00449005030215141
∑_(l+m=k,l,m≥0) ((α+l-1)¦l) ((β+m-1)¦m)=((α+β+k-1)¦k) and its application to negative binomial distribution
No full textWe prove here the following equation: ∑_(l+m=k,l,m≥0) ((α+l-1)¦l) ((β+m-1)¦m)=((α+β+k-1)¦k) and give its application to prove the reproductive property of the negative binomial distribution.
These finite sum equation involving binomial coefficients and proof of the reproductive property are not known as far as the author knows.論文(Article)departmental bulletin pape
Statistical inference on the reliability performance index for electric power generation systems
No full textIncludes bibliographical references (leaves 101-106)A primary objective of this research is to analytically develop a probability density function for the "Loss of Load, " a widely used index in power systems reliability evaluation. The equations to compute the parameters of this distribution for any given load cycle are derived. The forced outage rate (F.O.R.) for a generating unit is instrumental in the computation of reliability indices. This research also suggests a method for obtaining a statistically consistent estimator of F.O.R. using a decision theoretic approach. In order to develop the theoretical structure for the problem stated, classical and decision theoretic (Bayesian) statistical inferences are used as major tools along with the univariate and multivariate asymptotic theory. Consequently, an approximate numerical multiple integration scheme is employed to compute the parameters of the asymptotic pobability density function. The author believes that this statistical approach offers a more realistic alternative to the conventional calculation of an averaged value for the Loss of Load index where deterministic outage data are used
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