A_AT1 Flu_NN1 Strain_NN1 Goes_VVZ Kerflooey_NP1 First_MD ,_, the_AT good_JJ news_NN1 :_: As_CSA flu_NN1 seasons_NNT2 go_VV0 ,_, this_DD1 one_PN1 is_VBZ n't_XX bad_JJ --_NN1 at_RR21 least_RR22 as_CS31 far_CS32 as_CS33 the_AT overall_JJ numbers_NN2 are_VBR concerned_JJ ._. 
This_DD1 season_NNT1 ,_, 11,000_MC cases_NN2 of_IO influenza_NN1 have_VH0 been_VBN confirmed_VVN in_II the_AT U.S._NP1 ,_, on_II a_AT1 par_NN1 with_IW the_AT caseload_NN1 at_II this_DD1 time_NNT1 for_IF the_AT past_JJ few_DA2 years_NNT2 ._. 
The_AT vaccine_NN1 ,_, designed_VVN to_TO protect_VVI against_II the_AT three_MC flu_NN1 strains_VVZ that_CST researchers_NN2 predicted_VVN would_VM cause_VVI the_AT most_DAT illness_NN1 this_DD1 season_NNT1 ,_, seems_VVZ to_TO be_VBI a_AT1 pretty_RG good_JJ match_NN1 for_IF what_DDQ ended_VVD up_RP being_VBG the_AT most_RGT common_JJ strain_NN1 ._. 
And_CC there_EX 's_VBZ enough_DD vaccine_NN1 to_TO go_VVI around_RP ._. 
Now_RT the_AT not-so-good_JJ news_NN1 :_: you_PPY can_VM never_RR be_VBI complacent_JJ about_II a_AT1 virus_NN1 as_CSA fond_JJ of_IO mutating_VVG as_II influenza_NN1 is_VBZ ._. 
We_PPIS2 're_VBR always_RR just_RR a_AT1 few_DA2 random_JJ genetic_JJ shifts_NN2 away_II21 from_II22 a_AT1 possible_JJ pandemic_JJ ._. 
Researchers_NN2 at_II the_AT Centers_NN2 for_IF Disease_NN1 Control_NN1 and_CC Prevention_NN1 (_( CDC_NP1 )_) last_MD year_NNT1 documented_VVN for_IF the_AT first_MD time_NNT1 that_CST one_MC1 of_IO the_AT many_DA2 viral_JJ components_NN2 that_CST make_VV0 up_RP a_AT1 common_JJ flu_NN1 strain_NN1 ,_, known_VVN as_II H1_FO --_NN1 which_DDQ also_RR happens_VVZ to_TO be_VBI a_AT1 descendant_NN1 of_IO the_AT same_DA virus_NN1 that_CST fueled_VVD the_AT pandemic_JJ of_IO 1918_MC --_NN1 was_VBDZ resistant_JJ to_II the_AT popular_JJ antiviral_JJ drug_NN1 oseltamivir_NN1 ,_, a.k.a_NNU ._. 
Tamiflu_NN1 ._. 
In_II the_AT flu_NN1 season_NNT1 --_JJ October_NPM1 to_II May_NPM1 --_NN1 of_IO 2007-08_MCMC ,_, 12%_NNU of_IO circulating_VVG H1_FO subtypes_NN2 were_VBDR resistant_JJ to_II the_AT drug_NN1 ;_; this_DD1 season_NNT1 ,_, 98%_NNU of_IO them_PPHO2 are_VBR ._. 
Interestingly_RR ,_, the_AT mutation_NN1 does_VDZ not_XX appear_VVI to_TO be_VBI driven_VVN by_II overuse_NN1 of_IO the_AT drug_NN1 ._. 
In_II fact_NN1 ,_, rates_NN2 of_IO oseltamivir_NN1 resistance_NN1 are_VBR higher_JJR in_II nations_NN2 like_II Norway_NP1 where_CS there_EX is_VBZ little_DA1 use_NN1 of_IO the_AT drug_NN1 ,_, and_CC lowest_RRT in_II countries_NN2 like_II Japan_NP1 where_CS the_AT antiviral_NN1 is_VBZ prescribed_VVN heavily_RR ._. 
That_DD1 means_VVZ that_CST other_JJ medications_NN2 ,_, like_II zanamivir_NN1 ,_, a.k.a_NNU ._. 
Relenza_NN1 ,_, or_CC prescribing_VVG oseltamivir_NN1 in_II combination_NN1 with_IW other_JJ drugs_NN2 is_VBZ still_RR an_AT1 option_NN1 ._. 
But_CCB the_AT spread_NN1 of_IO a_AT1 resistant_JJ strain_NN1 raises_VVZ the_AT specter_NN1 of_IO a_AT1 pandemic_JJ --_NN1 brought_VVN on_RP by_II a_AT1 flu_NN1 virus_NN1 that_CST is_VBZ highly_RR contagious_JJ and_CC invulnerable_JJ to_TO nearly_RR all_DB our_APPGE medical_JJ efforts_NN2 ._. 
That_DD1 's_VBZ why_RRQ flu_NN1 experts_NN2 around_II the_AT world_NN1 are_VBR keeping_VVG their_APPGE microscopes_NN2 poised_VVN to_TO detect_VVI just_RR such_DA mutations_NN2 ._. 
Under_II the_AT leadership_NN1 of_IO the_AT World_NN1 Health_NN1 Organization_NN1 (_( WHO_NP1 )_) ,_, four_MC flu_NN1 labs_NN2 --_NN1 in_II London_NP1 ,_, Tokyo_NP1 and_CC Melbourne_NP1 and_CC at_II CDC_NP1 headquarters_NN in_II Atlanta_NP1 --_NN1 are_VBR picking_VVG apart_RL flu_NN1 viruses_NN2 sent_VVN to_II them_PPHO2 throughout_II the_AT season_NNT1 from_II doctors_NN2 treating_VVG infected_JJ patients_NN2 ._. 
"_" This_DD1 is_VBZ certainly_RR far_JJ and_CC away_JJ better_JJR than_CSN the_AT system_NN1 that_CST existed_VVD before_RT ,_, where_CS we_PPIS2 were_VBDR n't_XX doing_VDG real-time_JJ surveillance_NN1 to_TO see_VVI what_DDQ was_VBDZ changing_VVG ,_, such_II21 as_II22 resistance_NN1 ,_, "_" says_VVZ Nancy_NP1 Cox_NP1 ,_, director_NN1 of_IO the_AT WHO-CDC_NN1 Collaborating_VVG Center_NN1 for_IF Influenza_NP1 in_II Atlanta_NP1 ._. 
What_DDQ can_VM we_PPIS2 nonexperts_NN2 do_VD0 ?_? 
Get_VV0 a_AT1 flu_NN1 vaccine_NN1 every_AT1 year_NNT1 ._. 
No_AT shot_NN1 is_VBZ 100%_NNU effective_JJ ,_, but_CCB getting_VVG vaccinated_JJ gives_VVZ you_PPY a_AT1 good_JJ chance_NN1 of_IO lessening_VVG your_APPGE symptoms_NN2 --_NN1 and_CC thus_RR your_APPGE infectiousness_NN1 --_NN1 should_VM you_PPY get_VVI slammed_VVN with_IW the_AT oseltamivir-resistant_JJ strain_NN1 ._. 
There_EX 's_VBZ also_RR hope_VV0 that_CST a_AT1 promising_JJ antibody_NN1 --_NN1 which_DDQ researchers_NN2 discovered_VVD in_II February_NPM1 --_NN1 that_CST binds_VVZ to_II a_AT1 nonmutating_JJ part_NN1 of_IO the_AT virus_NN1 could_VM one_MC1 day_NNT1 provide_VVI lifetime_NNT1 protection_NN1 in_II a_AT1 single_JJ shot_NN1 against_II practically_RR all_DB versions_NN2 of_IO the_AT flu_NN1 ._. 
No_AT more_RGR annual_JJ flu_NN1 vaccine_NN1 and_CC no_AT more_DAR worries_NN2 about_II the_AT next_MD pandemic_JJ ._. 
Until_II then_RT ,_, we_PPIS2 just_RR have_VH0 to_TO hope_VVI that_CST the_AT virus_NN1 does_VDZ n't_XX evolve_VVI too_RG far_RR ahead_II21 of_II22 our_APPGE ability_NN1 to_TO keep_VVI up_RP ._. 
Hard_JJ Times_NNT2 Send_VV0 'Economoms_NN2 '_GE Back_NN1 to_II the_AT Job_NN1 Market_NN1 When_CS you_PPY 're_VBR eight_MC months_NNT2 pregnant_JJ ,_, it_PPH1 's_VBZ hard_JJ to_TO find_VVI a_AT1 good_JJ interview_NN1 suit_NN1 ._. 
But_CCB a_AT1 burgeoning_JJ belly_NN1 did_VDD n't_XX stop_VVI Nicole_NP1 Young_NP1 ,_, 33_MC ,_, from_II hitting_VVG the_AT job_NN1 circuit_NN1 this_DD1 fall_NN1 ._. 
Her_APPGE husband_NN1 ,_, who_PNQS works_VVZ on_II the_AT floor_NN1 of_IO the_AT New_NP1 York_NP1 Stock_NN1 Exchange_NN1 ,_, has_VHZ seen_VVN his_APPGE income_NN1 shrink_NN1 along_II21 with_II22 the_AT Dow_NP1 ._. 
And_CC the_AT consulting_JJ projects_NN2 she_PPHS1 has_VHZ been_VBN doing_VDG from_II their_APPGE home_NN1 on_II Long_JJ Island_NNL1 in_II New_NP1 York_NP1 are_VBR not_XX bringing_VVG in_II enough_DD money_NN1 to_TO make_VVI up_RP the_AT difference_NN1 ._. 
So_RR Young_JJ ,_, who_PNQS left_VVD her_APPGE full-time_JJ Marketing_NN1 job_NN1 in_II 2005_MC when_RRQ she_PPHS1 was_VBDZ pregnant_JJ with_IW their_APPGE first_MD child_NN1 ,_, buffed_VVD up_RP her_APPGE resume_NN1 and_CC started_VVD conducting_VVG phone_NN1 interviews_NN2 to_TO try_VVI to_TO line_VVI up_RP a_AT1 job_NN1 that_CST would_VM begin_VVI after_II her_APPGE second_MD child_NN1 was_VBDZ born_VVN in_II December_NPM1 ._. 
She_PPHS1 contacted_VVD five_MC recruiters_NN2 ,_, hoping_VVG to_TO find_VVI something_PN1 in_II corporate_JJ communications_NN2 or_CC general_JJ management_NN1 ._. 
Could_VM she_PPHS1 start_VVI right_RR away_RL ?_? 
Not_XX exactly_RR ._. 
No_AT job_NN1 offers_NN2 ensued_VVD ._. 
Now_RT ,_, with_IW a_AT1 3-month-old_JJ and_CC a_AT1 3-year-old_JJ ,_, Young_NP1 is_VBZ reviving_VVG her_APPGE job_NN1 hunt_NN1 :_: full_JJ time_NNT1 ,_, part_NN1 time_NNT1 ,_, any_DD time_NNT1 will_VM do_VDI ._. 
With_IW the_AT employment_NN1 outlook_NN1 turning_VVG bleaker_JJR by_II the_AT day_NNT1 ,_, she_PPHS1 and_CC many_DA2 other_JJ white_JJ collar_NN1 moms_NN2 who_PNQS opted_VVD out_II21 of_II22 the_AT workforce_NN1 to_TO focus_VVI on_II their_APPGE kids_NN2 are_VBR scrambling_VVG to_TO get_VVI back_RP in_II ._. 
Meet_VV0 the_AT economommies_NN2 ._. 
Of_RR21 course_RR22 ,_, for_IF much_DA1 of_IO the_AT U.S._NP1 ,_, working_VVG is_VBZ not_XX optional_JJ ._. 
But_CCB with_IW men_NN2 making_VVG up_RP 82%_NNU of_IO the_AT recession_NN1 's_GE job_NN1 losses_NN2 ,_, women_NN2 are_VBR flocking_VVG to_II mom-centric_JJ job_NN1 and_CC career-consulting_JJ sites_NN2 ,_, where_CS they_PPHS2 learn_VV0 how_RRQ to_TO translate_VVI their_APPGE maternal_JJ skills_NN2 (_( negotiation_NN1 ,_, time_NNT1 management_NN1 )_) into_II corporate_JJ argot_NN1 ._. 
Mom_NN1 Corps_NN ,_, a_AT1 staffing_NN1 company_NN1 that_CST pairs_NN2 women_NN2 with_IW white_JJ collar_NN1 jobs_NN2 that_CST have_VH0 flexible_JJ hours_NNT2 ,_, in_II February_NPM1 surveyed_VVD its_APPGE 500_MC most_RGT recent_JJ registrants_NN2 :_: 63%_NNU said_VVD the_AT economy_NN1 was_VBDZ driving_VVG their_APPGE decision_NN1 to_TO look_VVI for_IF work_NN1 ._. 
Five_MC percent_NNU said_VVD they_PPHS2 joined_VVD because_CS their_APPGE spouse_NN1 was_VBDZ laid_VVN off_RP ._. 
At_II Mom_NN1 Corps_NN ,_, businesses_NN2 pay_VV0 to_TO list_VVI job_NN1 openings_NN2 and_CC gain_VVI access_NN1 to_II tens_MC2 of_IO thousands_NNO2 of_IO women_NN2 who_PNQS have_VH0 registered_VVN for_IF free_JJ ;_; the_AT agency_NN1 ,_, like_II rival_JJ service_NN1 10_MC til_NN1 2_MC ,_, also_RR does_VDZ actual_JJ matchmaking_NN1 for_IF companies_NN2 ._. 
It_PPH1 's_VBZ definitely_RR a_AT1 buyer_NN1 's_GE market_NN1 ._. 
In_II early_JJ March_NPM1 ,_, Mom_NN1 Corps_NN had_VHD 34,000_MC job_NN1 hunters_NN2 and_CC 54_MC jobs_NN2 ;_; 10_MC til_NN1 2_MC reported_VVD a_AT1 similarly_RR scary_JJ ratio_NN1 ._. 
How_RGQ quickly_RR employees_NN2 are_VBR synched_VVN with_IW employers_NN2 --_JJ Mom_NN1 Corps_NN says_VVZ most_DAT of_IO its_APPGE openings_NN2 are_VBR filled_VVN within_II two_MC weeks_NNT2 --_JJ hinges_NN2 on_II factors_NN2 like_II location_NN1 and_CC skill_NN1 set_NN1 ._. 
Think_VV0 Excel_VV0 is_VBZ just_RR a_AT1 verb_NN1 ?_? 
Next_MD in_II line_NN1 ,_, please_RR ._. 
Since_CS Mom_NN1 Corps_NN opened_VVD shop_NN1 in_II 2005_MC ,_, it_PPH1 has_VHZ matched_VVN nearly_RR 1,000_MC women_NN2 with_IW manager-level_JJ positions_NN2 at_II small_JJ firms_NN2 as_II31 well_II32 as_II33 Fortune_NN1 500_MC ones_NN2 ._. 
Though_CS the_AT number_NN1 of_IO listings_NN2 fell_VVD in_II recent_JJ months_NNT2 ,_, founder_NN1 Allison_NP1 O'Kelly_NP1 says_VVZ ,_, things_NN2 are_VBR picking_VVG up_RP as_CSA hiring_VVG freezes_NN2 make_VV0 project-based_NN1 ,_, benefits-free_JJ workers_NN2 the_AT only_JJ kind_NN1 companies_NN2 can_VM afford_VVI ._. 
"_" This_DD1 is_VBZ not_XX a_AT1 good_JJ time_NNT1 for_IF many_DA2 businesses_NN2 ,_, but_CCB this_DD1 is_VBZ a_AT1 good_JJ time_NNT1 for_IF our_APPGE business_NN1 ,_, "_" says_VVZ iRelaunch_NN1 co-founder_NN1 Carol_NP1 Fishman_NP1 Cohen_NP1 ._. 
Her_APPGE firm_NN1 ,_, along_II21 with_II22 sites_NN2 like_II YourOnRamp_NP1 and_CC 2Hats_FO Network_NN1 ,_, offers_NN2 crash_VV0 courses_NN2 in_II networking_VVG as_II31 well_II32 as_II33 tips_NN2 on_II how_RRQ to_II finesse_NN1 gaps_NN2 in_II resumes_NN2 (_( do_VD0 n't_XX organize_VVI Chronologically_RR )_) and_CC what_DDQ to_TO wear_VVI to_II an_AT1 interview_NN1 (_( shoulder_NN1 pads_NN2 are_VBR for_IF linebackers_NN2 )_) ._. 
One_MC1 tidbit_NN1 from_II Harvard_NP1 Business_NN1 School_NN1 ,_, which_DDQ held_VVD a_AT1 weeklong_NN1 course_NN1 this_DD1 month_NNT1 geared_VVD to_TO help_VVI women_NN2 re-enter_VVI the_AT workforce_NN1 :_: steer_VV0 clear_RR of_IO the_AT term_NN1 part_NN1 time_NNT1 ._. 
Use_VV0 flexible_JJ hours_NNT2 instead_RR ._. 
"_" Part_NN1 time_NNT1 has_VHZ a_AT1 connotation_NN1 of_IO not_XX full_JJ commitment_NN1 ,_, "_" says_VVZ Timothy_NP1 Butler_NP1 ,_, who_PNQS chairs_VVZ the_AT Harvard_NP1 program_NN1 ,_, which_DDQ cost_VV0 attendees_NN2 $5,000_NNU apiece_RA ._. 
Cheaper_JJR options_NN2 include_VV0 iRelaunch_NN1 's_GE $125_NNU one-day_JJ return-to-work_JJ sessions_NNT2 around_II the_AT country_NN1 and_CC its_APPGE new_JJ $19.99_NNU webinars_NN2 ._. 
The_AT first_MD topic_NN1 :_: What_DDQ the_AT heck_NN1 is_VBZ LinkedIn_NP1 ,_, and_CC how_RRQ can_VM it_PPH1 be_VBI used_VVN as_II a_AT1 job-search_JJ tool_NN1 ?_? 
Until_II recently_RR ,_, business_NN1 networking_NN1 sites_NN2 like_II LinkedIn_NP1 were_VBDR a_AT1 mystery_NN1 to_II Lisa_NP1 Estabrook_NP1 ,_, 50_MC ,_, who_PNQS left_VVD her_APPGE advertising_NN1 job_NN1 at_II a_AT1 bank_NN1 in_II Philadelphia_NP1 when_RRQ her_APPGE first_MD child_NN1 was_VBDZ born_VVN 16_MC years_NNT2 ago_RA ._. 
Now_RT she_PPHS1 finds_VVZ herself_PPX1 haunting_VVG YourOnRamp_NP1 ,_, which_DDQ her_APPGE husband_NN1 --_NN1 who_PNQS was_VBDZ laid_VVN off_RP from_II a_AT1 reinsurance_NN1 firm_NN1 six_MC weeks_NNT2 ago_RA --_NN1 heard_VVN about_II from_II a_AT1 career_NN1 counselor_NN1 at_II a_AT1 local_JJ church_NN1 ._. 
She_PPHS1 rattles_VVZ off_RP all_DB the_AT networking_NN1 sites_NN2 she_PPHS1 's_VBZ trying_VVG to_TO get_VVI a_AT1 handle_NN1 on_RP ,_, including_II Facebook_NP1 and_CC Tweeter_NP1 ._. 
Um_UH ,_, make_VV0 that_DD1 Twitter_NN1 ._. 
"_" To_II my_APPGE kids_NN2 ,_, "_" she_PPHS1 says_VVZ ,_, "_" it_PPH1 's_VBZ funny_JJ to_TO see_VVI Mom_NN1 trying_VVG to_TO get_VVI with_IW it_PPH1 ._. "_" 
In_II March_NPM1 ,_, Maria_NP1 Retter_NP1 ,_, 48_MC ,_, started_VVD a_AT1 part-time_JJ job_NN1 she_PPHS1 found_VVD through_II Mom_NN1 Corps_NN as_II an_AT1 office_NN1 manager_NN1 in_II northern_JJ Virginia_NP1 ._. 
With_IW a_AT1 self-employed_JJ husband_NN1 and_CC with_IW their_APPGE youngest_JJT child_NN1 about_RPK to_TO join_VVI two_MC others_NN2 in_II college_NN1 ,_, Retter_NP1 decided_VVD she_PPHS1 needed_VVD steadier_JJR work_NN1 than_CSN the_AT Web-designing_NN1 she_PPHS1 had_VHD been_VBN doing_VDG from_II home_NN1 ._. 
And_CC she_PPHS1 is_VBZ firmly_RR convinced_VVN that_DD1 motherhood_NN1 has_VHZ made_VVN her_PPHO1 a_AT1 better_JJR employee_NN1 :_: "_" If_CS you_PPY can_VM handle_VVI temper_NN1 tantrums_NN2 ,_, then_RT when_CS you_PPY have_VH0 to_TO deal_VVI with_IW obnoxious_JJ people_NN in_II an_AT1 office_NN1 setting_NN1 ,_, you_PPY say_VV0 to_II yourself_PPX1 ,_, 'You_NNU remind_VV0 me_PPIO1 of_IO my_APPGE 2-year-old_JJ ._. '_" "_" 
Whole_JJ Lotta_NN1 Love_NN1 If_CS the_AT term_NN1 world_NN1 music_NN1 gives_VVZ you_PPY hives_NN2 --_NN1 and_CC its_APPGE condescension_NN1 to_II musicians_NN2 (_( lumping_VVG all_DB non-Westerners_NN2 into_II a_AT1 single_JJ undifferentiated_JJ category_NN1 )_) and_CC consumers_NN2 (_( writing_VVG off_RP anyone_PN1 who_PNQS does_VDZ n't_XX listen_VVI to_II it_PPH1 as_RG implicitly_RR narrow-minded_JJ )_) is_VBZ really_RR quite_RG impressive_JJ --_NN1 then_RT grab_VV0 an_AT1 EpiPen_NP1 before_II reading_VVG any_DD further_JJR ._. 
For_CS we_PPIS2 are_VBR about_RPK to_TO discuss_VVI Amadou_NP1 and_CC Mariam_NP1 ,_, the_AT world-music_JJ stars_NN2 who_PNQS are_VBR not_XX just_RR a_AT1 married_JJ ,_, middle-aged_JJ couple_NN1 from_II Mali_NP1 but_CCB a_AT1 blind_JJ ,_, married_JJ ,_, middle-aged_JJ couple_NN1 from_II Mali_NP1 ._. 
By_II description_NN1 ,_, they_PPHS2 're_VBR worthier_JJR than_CSN the_AT Grameen_JJ Bank_NN1 ._. 
The_AT blind_JJ thing_NN1 is_VBZ certainly_RR played_VVN for_IF effect_NN1 --_NN1 just_RR not_XX the_AT effect_NN1 you_PPY might_VM anticipate_VVI ._. 
Almost_RR since_CS their_APPGE first_MD meeting_NN1 ,_, in_II 1976_MC as_CSA students_NN2 at_II Bamako_NP1 's_GE Institute_NN1 for_IF Young_JJ Blind_JJ People_NN ,_, Amadou_NP1 and_CC Mariam_NP1 have_VH0 billed_VVN themselves_PPX2 as_II the_AT Blind_JJ Couple_NN1 of_IO Mali_NP1 ,_, and_CC if_CS the_AT lack_NN1 of_IO an_AT1 exclamation_NN1 point_NN1 reads_VVZ as_CSA restraint_NN1 ,_, factor_NN1 in_CS21 that_CS22 they_PPHS2 often_RR perform_VV0 in_II diamond-studded_JJ sunglasses_NN2 ._. 
Faced_VVN with_IW a_AT1 world_NN1 that_CST tends_VVZ to_TO view_VVI blindness_NN1 and_CC African-ness_NN1 in_II tragic_JJ terms_NN2 ,_, Amadou_NP1 Bagayoko_NP1 (_( he_PPHS1 plays_VVZ a_AT1 killer_NN1 guitar_NN1 )_) and_CC Mariam_NP1 Doumbia_NP1 (_( she_PPHS1 sings_VVZ like_II an_AT1 adoring_JJ aunt_NN1 )_) go_VV0 out_II21 of_II22 their_APPGE way_NN1 to_TO assert_VVI that_CST things_NN2 are_VBR pretty_RG great_JJ with_IW them_PPHO2 ,_, thanks_NN2 ._. 
To_TO understand_VVI just_RR how_RGQ great_JJ ,_, listen_VV0 to_II the_AT pair_NN 's_GE fifth_MD album_NN1 ,_, Welcome_VV0 to_II Mali_NP1 ,_, out_II March_NPM1 24_MC ._. 
Following_VVG up_RP on_II their_APPGE 2005_MC breakthrough_NN1 ,_, Dimanche_NP1 a_AT1 Bamako_NN1 ,_, which_DDQ was_VBDZ produced_VVN by_II France-raised_JJ Spaniard_NN1 Manu_NP1 Chao_NP1 and_CC topped_VVD critics_NN2 '_GE lists_NN2 worldwide_RL ,_, Amadou_NP1 and_CC Mariam_NP1 recruited_VVD another_DD1 international_JJ rock_NN1 star_NN1 ,_, Brit_NN1 Damon_NP1 Albarn_NP1 ,_, for_IF a_AT1 cameo_NN1 ._. 
What_DDQ Albarn_NP1 brings_VVZ is_VBZ an_AT1 opener_NN1 ,_, "_" Sabali_NP1 ,_, "_" so_RG light_JJ and_CC giddy_JJ that_CST no_AT translation_NN1 is_VBZ required_VVN to_TO get_VVI that_DD1 Mariam_NP1 is_VBZ whisper-singing_JJ about_II love_NN1 ._. 
The_AT swirling_JJ keyboards_NN2 and_CC gradually_RR rising_VVG dance_NN1 beat_NN1 are_VBR pure_JJ '80s_MC2 pop_NN1 ,_, sweeter_JJR than_CSN cheap_JJ champagne_NN1 --_NN1 but_CCB with_IW soul_NN1 ;_; it_PPH1 's_VBZ like_II a_AT1 Cyndi_NP1 Lauper_NP1 tune_NN1 sung_VVN by_II Vera_NP1 Hall_NN1 ._. 
From_II there_RL ,_, Welcome_VV0 to_II Mali_NP1 becomes_VVZ a_AT1 more_RGR standard_JJ Amadou_NN1 and_CC Mariam_NP1 affair_NN1 ,_, which_DDQ is_VBZ to_TO say_VVI it_PPH1 's_VBZ a_AT1 joyous_JJ ,_, hook-filled_JJ guitar_NN1 album_NN1 with_IW impressive_JJ range_NN1 ._. 
Amadou_NP1 grew_VVD up_RP as_II the_AT biggest_JJT Led_VVD Zeppelin_NP1 and_CC Deep_JJ Purple_JJ fan_NN1 in_II Bamako_NP1 ,_, and_CC while_CS he_PPHS1 knows_VVZ how_RRQ to_TO mimic_VVI the_AT sounds_NN2 of_IO a_AT1 kora_NN1 and_CC slip_VV0 into_II high-stepping_JJ township_NN1 jive_NN1 ,_, he_PPHS1 's_VBZ most_RRT at_II home_NN1 using_VVG African_JJ styles_NN2 to_TO flavor_VVI rock_NN1 melodies_NN2 ._. 
"_" Ce_VV0 N'Est_NP1 Pas_FW Bon_FW "_" is_VBZ stomping_VVG garage_NN1 rock_NN1 ,_, while_CS "_" Bozos_NN2 "_" could_VM be_VBI a_AT1 particularly_RR happy_JJ Neil_NP1 Young_NP1 song_NN1 ._. 
Everything_PN1 has_VHZ a_AT1 familiar_JJ pop_NN1 structure_NN1 ,_, but_CCB there_EX 's_VBZ just_RR enough_DD African_JJ instrumentation_NN1 to_TO provide_VVI a_AT1 thrilling_JJ sense_NN1 of_IO dislocation_NN1 ._. 
Amadou_NN1 and_CC Mariam_NP1 's_GE lyrics_NN2 tend_VV0 toward_II uncontroversial_JJ declarations_NN2 like_II "_" Hypocrisy_NN1 in_II politics_NN1 ,_, it_PPH1 's_VBZ not_XX good/_JJ We_PPIS2 do_VD0 n't_XX want_VVI any_DD ._. "_" 
(_( It_PPH1 's_VBZ possible_JJ the_AT lyric_JJ sheet_NN1 was_VBDZ simplified_VVN in_II the_AT translation_NN1 from_II Bambara_NP1 and_CC French_NN1 ;_; it_PPH1 's_VBZ also_RR possible_JJ they_PPHS2 're_VBR just_RR casual_JJ lyricists_NN2 ._. )_) 
The_AT exception_NN1 ,_, linguistically_RR ,_, is_VBZ "_" I_PPIS1 Follow_VV0 You_PPY ,_, "_" sung_VVN by_II Amadou_NP1 to_II his_APPGE wife_NN1 in_II tender_JJ ,_, halting_JJ English_NN1 :_: "_" Under_II the_AT sun_NN1 ,_, baby_NN1 ,_, I_PPIS1 follow_VV0 you/_FU Under_II the_AT ground_NN1 ,_, baby_NN1 ,_, I_PPIS1 follow_VV0 you_PPY ._. "_" 
As_CSA Amadou_NP1 told_VVD a_AT1 British_JJ music_NN1 magazine_NN1 ,_, "_" We_PPIS2 would_VM like_VVI English-speaking_JJ people_NN to_TO understand_VVI us_PPIO2 ._. 
It_PPH1 's_VBZ not_XX a_AT1 large_JJ vocabulary_NN1 ,_, but_CCB our_APPGE heart_NN1 is_VBZ in_II it_PPH1 ._. "_" 
"_" If_CS a_AT1 textbook_NN1 is_VBZ rendered_VVN unrentable_JJ ,_, depending_II21 on_II22 where_RRQ it_PPH1 is_VBZ in_II its_APPGE life_NN1 cycle_NN1 ,_, we_PPIS2 might_VM charge_VVI the_AT student_NN1 for_IF overuse_NN1 ,_, "_" Safka_NP1 said_VVD ._. 
"_" But_CCB 95%_NNU of_IO our_APPGE books_NN2 come_VV0 back_RP just_RR fine_JJ ._. "_" 
If_CS you_PPY want_VV0 to_TO keep_VVI the_AT book_NN1 but_CCB ca_VM n't_XX afford_VVI the_AT new-book_JJ price_NN1 ,_, you_PPY can_VM always_RR buy_VVI used_JJ ._. 
In_II31 addition_II32 to_II33 the_AT campus_NN1 bookstore_NN1 ,_, there_EX are_VBR at_RR21 least_RR22 half_DB a_AT1 dozen_NNO websites_NN2 that_CST sell_VV0 used_JJ books_NN2 in_II good_JJ condition_NN1 ,_, including_II Alibris_NP1 ,_, TextbooksRus_NP1 ,_, AbeBooks_NP1 and_CC Biblio_NP1 ._. 
You_PPY can_VM search_VVI each_DD1 of_IO these_DD2 sites_NN2 individually_RR ,_, or_CC you_PPY can_VM go_VVI to_II www.bigwords.com_NNU ,_, which_DDQ offers_VVZ one-stop_JJ shopping_NN1 ._. 
In_II this_DD1 case_NN1 ,_, the_AT best_JJT price_NN1 for_IF a_AT1 lightly_RR used_VVD U.S._NP1 edition_NN1 of_IO this_DD1 calculus_NN1 book_NN1 was_VBDZ $122_NNU ._. 
(_( An_AT1 international_JJ edition_NN1 was_VBDZ available_JJ for_IF less_DAR ,_, but_CCB the_AT site_NN1 warned_VVD that_CST the_AT numbers_NN2 were_VBDR metric_JJ and_CC would_VM not_XX be_VBI comparable_JJ ._. )_) 
The_AT one_MC1 option_NN1 Allen_NP1 warned_VVD students_NN2 against_II buying_NN1 was_VBDZ e-book_JJ versions_NN2 of_IO texts_NN2 ._. 
A_AT1 number_NN1 of_IO publishers_NN2 offer_VV0 online_JJ books_NN2 for_IF purchase_NN1 ,_, she_PPHS1 noted_VVD ,_, but_CCB they_PPHS2 are_VBR actually_RR one-year_JJ rentals_NN2 ._. 
By_RR31 and_RR32 large_RR33 ,_, the_AT e-books_NN2 are_VBR available_JJ only_RR through_II an_AT1 Internet_NN1 connection_NN1 ,_, and_CC many_DA2 restrict_VV0 the_AT number_NN1 of_IO pages_NN2 you_PPY can_VM print_VVI at_II one_MC1 time_NNT1 ._. 
