Employees’ performance, especiallyin sales, is key to an entity’s success.But not every day they give their

best of the ability. But, a simple nudge fromthe manager can motivate an employee toperform better.

And, to help companies to improve theproductivity of their employees, Worxogo,a Bengaluru-headquartered tech start-up,is offering a personal cognitive AI (artificialintelligence) coach. “We believe that behav-iour is the next frontier in driving per-formance at organisations. We foundWorxogo’s concept unique in how it uses AIand behavioural science to augment andhelp drive employees’ performance usingone-on-one ‘nudges’ (or mobile notifica-tions/messages),” says Sumi Vivek, CIO,Diageo India.

The company has recently raised aSeries-A investment of ~165 million by ven-ture funds Inventus India and IdeaspringCapital. The fresh funds will be used pri-marily to expand operations in the US.

Launched in 2015, the start-up has sixco-founders: Ramesh Srinivas, Anant Sood,Sivaramakrishnan, Suneel Aiyar, SudhaBhamidipati and RaviBhamidipati.

“Creating a trulyengaged workforce hasbeen one of the biggest chal-lenges faced by companiesacross the world. Most per-formance products focus oncompany processes, butorganisations fail to recog-nise that every employee hasa unique behaviour.Worxogo’s AI coach Mia (amobile application) is apathbreaking product thatapplies the power of nudge,

and neuroscience to coach every employ-ee and the organisation,” said NaganandDoraswamy of Ideaspring Capital.

Until the new investments, the compa-ny was bootstrapped.

Product concept“Companies suffer when employees do notperform up to their potential. Not everyemployee in the sales or any other teamreceives daily mentoring or coaching fromthe manager. Mia fills this gap and helpsbusinesses and employees achieve theirgoals,” said Ramesh Srinivas, CEO and Co-

Founder, Worxogo.According to the start-up,

the cognitive AI coach helpsimprove an employee's per-

formance using principles ofbehavioural science, neuro-science and predictive ana-lytics to motivate them toachieve their maximumpotential. “We are not look-ing at replacing employeesbut how to help people per-form better,” Srinivas said.

Using proprietary algo-rithms and predictive ana-lytics, Mia analyses what

sales outcomes could each salespersonachieve and finally, coaches them inrespect of their key performance indica-tors by sending visual and cognitive nudgesto drive action.

The company claims that Mia is aunique AI engine that does not only focuson giving more information, analytics andtrends to managers or salespersons. “Ourclients witness a significant impact on saleswithin three months, including 25 per centsales increase and increased productivityby up to two times,” the CEO said.

OpportunitiesAccording to the co-founder, the market forsuch products is growing at a rate of 15 percent year-on-year and its potential size isupwards of $3 billion.

The company claims it has no compe-tition. “No other product or company isaddressing this space from the perspectiveof behavioural science, neuroeconomicsand predictive analytics... Worxogo isunique in this space,” Srinivas said. “Ourplan is to grow organically and through apartnership model where we tie-up withother service providers.”

The company currently has 35 deploy-ments across five countries — India, the

US, Singapore, Malaysia, and Sri Lanka.Mia coaches over 100,000 users every day.

Some of the company’s clients includeTitan, ICICI Bank, Tanishq, Piramal, PwC,L&T, TVS Motors and Sutherland GlobalServices.

Its target customers are enterprises witha large, distributed workforce.

Revenue modelWroxogo, a B2B SaaS company, sources itsrevenues from software licenses on a peruser per month basis.

With the new investments coming in,the company aims to break-even in thenext 18 months. It also plans to have 100customers in the same period.

ChallengesThe biggest challenge the start-up is find-ing early adopters in an enterprise set-up.“While the concept excites organisations,adopting it is always challenging. As clientssee the value and hard business impact,they expand the scope of work across teamsand functions. Our approach to pilot theapplications for a short period before along-term commitment has worked verywell for us, and we have a conversion rateof over 90 per cent,” the co-founder added.

AHMEDABAD | MONDAY, 29 OCTOBER 2018 START-UP CORNER 13>

SOLUTION TO #2603

HHaarrdd:: ��������

Solution tomorrow

HOW TO PLAYFill in the grid so that every row,every column and every 3x3 boxcontains the digits 1 to 9

ACROSS1 It seems to upset

Hebrews (7)5 Brewery vessel involving

TV show (plus tax) (4-3)8 Withdraw from giving us

any trouble (5)9 He'll bear the cost if tea’s

served in nicersurroundings (9)

11 In place of song, bankworker turned toclairvoyant (7,6)

13 Sent to resort found inDevon (6)

16 Kissed, say, using mouthmuscle (8)

18 Rise from bed ready tobecome disquieted (3,5)

19 That’s the paid hand onemet up with, just for

now in short (3,3)24 Innocent disco dancing -

but it leads to separation(13)

26 Extremely wicked butsafe in our disguise (9)

27 Dickensian characterfrom the skies (5)

28 Pushes sleuths around (7)29 Moving spirits behind

drug sales (7)

DOWN1 Extinguish the candle

and pop off (5,2)2 Tailless otter reckoning

to stand on head,something like a vole (7)

3 Cheers with playthingvowels? (2,3)

4 Old Bob has record onthe first alien band (6)

5 Dispatched illegally (8)6 A guard to face (5)7 Late from what's seen on

the road on a heartlessday ? (5)

10 Pistol case acquiredduring vacation, termbefore last (7)

12 Dishonour artist busy inthe gym (4)

14 See, this would make ithot for the witches (4)

15 Former model who spillsthe beans (7)

17 Silly moo landing inplanet which may bedeadly (8)

20 Ooze deception, theFrench! (7)

21 The drawbacks of writingabout popular practice (7)

22 Finishes but does notbegin eating? (4,2)

23 Form a group goingbananas? (5)

24 The opposite of dons (5)25 The price of a suit (5)

SOLUTION to #3179

> THE BS CROSSWORD # 3180

> BS SUDOKU # 2604

EXPERT TAKE

The advent ofcognitivecomputing hasenabled manystart-ups to comeout with solutionsthat enablesimulation ofhumaninteractions. Inmany cases, thesetechnologies are

used in combination with machinelearning models to create solutionsthat may significantly transformenterprise processes and the waythey interact with their customers.Worxogo is an example of how theyhave used technology in the space ofHR to improve employeeproductivity.

Specific to Worxogo, the key is theaccuracy of the model, whichpredicts the behaviour of theemployee. More the accuracy, betteris the stickiness of their customer aswell as the ability to scale to newcustomers and geographies. It alsocreates the necessary moat.

Accuracy is the key

RADHESHKANUMURYCEO & ManagingPartner, ArkaVenture Labs

Worxogo co-founder and CEO Ramesh Srinivas (inset). The otherco-founders are (above, from left) Anant Sood, Sivaramakrishnan,Suneel Aiyar, Sudha Bhamidipati, and Ravi Bhamidipati

FA C T B OXLaunched: 2015

Area of business:Offering cognitive AIproduct as SaaSapplication

Funding:~165 millionin Series-A round

Investors: InventusIndia and IdeaspringCapital

Helping get the bestout of employeesWorxogo’s AI-basedproduct usesneuroeconomics andbehavioural science tohelp drive performance,writes NIRMALYA BEHERA

Place : Ahmedabad

Date : 27/10/2018

Sd/-Natwarbhai P. Prajapati

Chairman and Managing DirectorDIN: 00031187

By and order of the Board of DirectorFor, Gujarat Terce Laboratories Limited

GUJARAT TERCE LABORATORIES LIMITED

1 The Above unaudited results have been reviewed by Audit Committee and approved by the Board of Directors of the Company in their meeting held on 27.10.2018. The Statutory Auditors have carried out limited review of the financial results for the quarter and half year ended on 30th September, 2018

2 The Above unaudited results have been prepared and presented as per Companies (Indian Accounting Standards) Rules, 2015 as amended ("Ind AS") prescribed under section 133 of the Companies Act, 2013 and in terms of Regulations 33 of the SEBI (Listing Obligations and Disclosure Requitements) Regulations, 2015 (the "Listing Regulations"), as modified by Circular dated August, 10, 2016

3 The above is an extract of the detailed format of Financial Results for the quarter ended on September 30, 2018 filed with the Stock exchanges as per SEBI (Listing Obligations and Disclosure Requirement) Regulations, 2015. The full format of standalone unaudited financial results are available on the website of BSE at www.bseindia.com and on company's website www.gujaratterce.com.

Particulars 30/09/2018(Unaudited)

Half Year Ended31/03/2018(Audited)

Incomea) Revenue from operations (Net)b) Other incomeNet Profit / (Loss) for the period (before Tax, Exceptional and/or Extraordinary items)Net Profit / (Loss) for the period before Tax (after Exceptional and/or Extraordinary items)Net Profit / (Loss) for the period after Tax(after Exceptional and/or Extraordinary items)Total Comprehensive Income for the period [Comprising Profit /(Loss) for the period (after tax) and Other Comprehensive Income (after tax)]Paid up Equity Share CapitalReserves (excluding Revaluation Reserve) Net worthDebt Equity RatioEarnings Per Share (of Rs. 10/- each) (for continuing and discontinued operations)1. Basic:2. Diluted:

01,470.33

1.73

-49.64

-49.64

-49.64

-49.64 742.03 209.24 951.27 0.43:1

-

02,901.42

41.32

32.53

32.53

32.53

34.55 742.03 298.19

1,040.22 0.20:1

0.46

0 1,262.77

2.64

-18.02

-18.02

-18.02

-18.02 742.03 142.10 884.13 0.29:1

- Notes:

Extract of Standalone Unaudited Financial Results for the Quarter / Half Year Ended on September 30, 2018

[RS. IN LAKHS]

Reg. Office:- 122/2, Ravi Estate, Bileshwarpura, Chhatral, Dist. Gandhinagar ( Gujarat )Admin. Office: D/801-802, The First, B/h. Keshavbaug Party Plot, Nr. Shivalik High-Street,

Vastrapur, Ahmedabad-380015., Phone:- 079 - 48933706, CIN NO:-L28112GJ1985PLC007753email:-ho@gujaratterce.com website:www.gujaratterce.in

30/09/2017(Unaudited)

Year Ended Sr.No.

1

2

3

4

5

678910

3MONDAY • 29-10-2018JAI HIND

AHMEDABAD

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yuf rLkðuËLk{kt fnuðk{kt ykÔÞwtAu fu, yuh RÂLzÞk 883 ̂ ÷kRx10 ðkøku rËÕneÚke hðkLkk Úkþu

y™u 12.35 ðkøk u økk uðk

Ãknk U[þu. íÞkhçkkË rhxLk o

^÷kRx yuykE 884 1.15

ðkøku xufykuV fheLku Mkðkhu 3.40

ðkøku rËÕne ÃknkU[þu. yuykE-

547 hkník{k t 9.15 Ãkh

rËÕneÚke hðkLkk Úkþu

hkufz fxkufxeLke Ãký MkeÄe yMkh ÚkR þfu

ÄLkíkuhMk Ãkqðuo ô[e ®f{íkkuÚkeMkkuLkkLke [{f ½xu íkuðk Mktfuík

ðÄíke síke ®f{íkku y™u {qzehkufkýLkk rðfÕÃkLkk Ãkrhýk{MðÁÃku MkkuLkk{kt {qzehkufký ðÄw ½xu íkuðe «çk¤ Mkt¼kðLkk

{wtçkE, íkk. 28rËðk¤e Ãkðo WÃkh økÞk ð»koLke su{ s yk

ð»kuo Ãký MkkuLkkLke [{f ykuAe òuðk {¤u íkuðe

þõÞíkk Ëu¾kE hne Au. ðÄíke síke ®f{íkku y™u

yLÞ hkufkýLkk rðõÕÃkku ðå[u r÷Âõðzexe

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ykuAe òuðk {¤e

þfu Au. {kf u ox

rLk»ýkíkk u y™u

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ô[e ®f{íkku y™u

r ÷ Â õ ð z e x e

fxk ufxe ík u{s

hkufz fxkufxeLkk

Ãkrhýk{ MðÁÃku

MkkuLkwt íkuLke [{f økw{kðe þfu Au. òu «ðíko{kLkÂMÚkrík rËðk¤e MkwÄe òhe hnuþu íkku Mkíkík çkeòð»kuo rLkhkþksLkf ðu[kýLkk yktfzk MkÃkkxe WÃkh

ykðþu. ð»ko 2017{kt ÄLkíkuhMkLke rMkÍLk{kt

2016Lke Mkh¾k{ýe{kt 30 xfkÚke ðÄwLkku ½xkzkuÚkÞku níkku ßÞkhu LkkuxçktÄeLke ònuhkík rËðk¤e

çkkË fhðk{kt ykðe íÞkhu ÂMÚkrík Mkkhe hne níke

Ãkhtíkw økÞk ð»koLku yk RLzMxÙe {kxu nk÷Lkk ð»kkuoÃkife MkkiÚke rLkhkþksLkf ð»ko íkhefu økýðk{kt ykðu

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Ãkrhýk{ MðÁÃku MkkuLkkLke ¾heËe ykuAe ÚkR níke.

òýfkh ÷kufkuLkw t fnuðwt Au fu, yk ð»ku o Ãký

ÄLkíkuhMkLkk «Mktøku MkkuLkk{kt Mkkhku fkhkuçkkh ÚkkÞ íkuðe

þõÞíkk yk uAe Ë u¾kE hne Au. {kf u ox{k t

r÷ÂõðzexeLke Mkkhe ÂMÚkrík òuðk {¤e hne LkÚke.

yku÷ RÂLzÞk suBMk yuLz ßðu÷he zku{uÂMxf

fkWÂLMk÷Lkk [uh{uLk LkeríkLk ¾tzu÷ðk÷u fÌkwt Au fu,AuÕ÷k ð»koÚke 5-10 xfk MkwÄeLkku ½xkzku ðu[ký{kt

òuðk {¤e þfu Au.

çkwr÷ÞLk ®f{íkku AuÕ÷kÚkkuzkf rËðMkÚke Mkkhe

hne Au. suLkk Ãkrhýk{

MðÁÃku ÷kufku ykøk¤

ykððk rð[khe hÌkk

Au Ãkhtíkw íkuLkk rMkðkÞyLÞ rðõÕÃkk u Ãký

nkuðkÚke ík uLkk WÃkh

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hne Au. Mkk uLkkLke

¾heËe {kxu ÄLkíkuhMkLku

þw¼ rËðMk íkhefu økýðk{kt ykðu Au. MkkuLkk WÃkhktík[ktËe y™u yLÞ ®f{íke [esðMíkwykuLke ¾heËe Ãkýfhðk{kt ykðu Au. W¥kh y™u Ãkrù{ ¼khík{kt

rËðk¤eLke Wsðýe þkLkËkhheíku fhðk{kt ykðu Au.

økÞk ð»kuo MkkuLkkLke ®f{ík ÄLkíkuhMk Ëhr{ÞkLk «rík

10 økúk{ 30000 YrÃkÞk ÚkR økR níke.þrLkðkhLkk rËðMku MÚkkrLkf MkkuLkkLke ®f{ík «rík 10

økúk{ 32550 YrÃkÞk LkkUÄkE níke. ßÞkhu ðirïfMíkhu þw¢ðkhLkk rËðMku LÞwÞkufo{kt íkuLke ®f{íkykuLMkËeX 1233.80 zku÷h çkku÷kE níke.

fkhkuçkkheyku nsw Ãký {kLke hÌkk Au fu, MkkuLkkLke¾heËe fhðk {kxu ®f{íkku WÃkh æÞkLk ykÃÞk ðøkh

ÄLkíkuhMkLkk rËðMku ÷kufku ykøk¤ ykðþu.

¼khíkLkwt rðËuþe nqtrzÞk{ý 28861.7 yçks ÚkÞwt

ËuþLkk rðËuþe nqtrzÞk{ý{kt9.42 fhkuz zkì÷hLkku ½xkzku

LÞw rËÕne,íkk.28

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‚ókn{kt 9.42 fhkuz zku÷h

sux÷ku½xkzk u ÚkÞk u Au. 26

ykuõxk uƒhu ‚{kó ÚkÞu÷k

‚ókn{kt rðËuþe nqtrzÞk{ý393.52 yƒszku÷h sux÷wtnŒwt. yk ‚ókn{kt ¼khŒ™wt

rðËuþe nqtrzÞk{ý 28861.7yƒs Yr…Þk ƒhkƒh ÚkE [wõâwtAu.yk ‚{Þ„k¤k{kt Ëuþ™ku

‚wðýo ¼tzkh 20.52 yƒs

zku÷h yux÷u fu 1488.9yƒs

Yr…Þk ƒhkƒh hÌkku Au. yk

‚{Þ„k¤k{k t Ë uþ™k

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sux÷ku hne „Þku Au. Œu™wt {qÕÞ107.6 yƒs Yr…Þk ƒhkƒh

Au.ykEyu{yuV{k t Ë uþ™k

nk÷™k ¼tzkh™wt {qÕÞ 1.23

fhkuz zku÷hÚke ½xe™u 2.45

yƒs zku÷h™kutÄkÞwt Au y™u Œu180.6 yƒs Yr…Þk ƒhkƒh

Au.

…kutrz[uhe™k {wÏÞ{tºke y™u W…hkßÞ…k÷ rfhý ƒuËe ðå[u íkLkkð

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™khkÞý‚k{e y™u W…

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yýƒ™kð Au. ƒt™u ‚k{-‚k{u

ykðe „Þk Au. {wÏÞ{tºke ðe™khkÞý‚k{eyu W… hkßÞ…k÷

rfhý ƒuËe …h ykhku… ÷„kÔÞku

fu Œu{ýu fuLÿeÞ „úkLx rðþu

‚kurþÞ÷ {erzÞk …h ¾kuxe

{krnŒe yk…e.

™khkÞý‚k{eyu sýkÔÞw fuƒuËeyu ‚kurþÞ÷ {erzÞk …h fÌšfu fuLÿ ynª™k fw÷ ƒsux™k 60xfk „úkLx yk…e hÌkk Au …htŒwyk ¾kuxe {krnŒe Au. Œu{ýu fÌš

fu fuLÿ ƒsux „úkLx™k {kºk 26

xfk yk…e hne Au. ™k fu 60 xfk

suðk fu ƒuËeyu Ëkðku fÞkuo Au.

Œu{ýu Ëkðku fÞkuo fu ™kýktfeÞ ð»ko

2018-2019 {kxu 7830

fhkuz Yr…Þk{kt fuLÿeÞ „úkLx {kºk1460 fhkuz Yr…Þk s nŒe.

„Œ rËð‚k u …k u tze[uhe™k

W…hkßÞ…k÷ rfhý ƒuËeyu

{wÏÞ{tºke ðe ™khkÞý‚k{e îkhkŒu{™u ÷¾u÷k …ºk™u ½ýku yrþü

„ýkÔÞku. yk …ºk{kt {wÏÞ{tºkeyuW…hkßÞ…k÷ …h ykhk u…

÷„kÔÞk u nŒk u f u Œ u ðÄkh u

òýfkheyku™ku ¾w÷k‚ku ‚kurþÞ÷{erzÞk …h fhu Au.

Rze îkhk WÕ÷u¾LkeÞ fk{økehe yËk fhkE

3 ð»ko{kt 33500 fhkuzLke støke MktÃkr¥k só fhe ÷uðkEr[ËBçkh{ y™u íku{Lkk Ãkwºk fkŠíkr[ËBçkh{Lku ykðhe÷uíkk {Lke

÷kuLz®høk fuMk, rðsÞ {kÕÞk çkUfAuíkh®Ãkze fuMk, rLkhð {kuËe,{unw÷ [kufMke Auíkh®Ãkze fuMk,xwS MÃkuõxÙ{ y™u fku÷Mkk fki¼ktzsuðk {k{÷k Mkk{u÷ Au.

fLkko÷®Mkn fuLÿ þkrMkík «Ëuþ

fuzhLkk 1984Lke çk U[Lkk

ykEÃkeyuMk yrÄfkhe Au. AuÕ÷k

ºký ð»koLkk økk¤k{kt Rze{kt

LkkUÄðk{kt ykðu÷k ©uýeçkØ

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fhðkLke økrík ðÄw íkeðú çkLkeníke. Rzeyu ð»ko 2015Úke

÷RLku nsw MkwÄe 33567 fhkuz

Lkðe rËÕne, íkk. 28íkÃkkMk MktMÚkk Rze îkhk AuÕ÷k

ºký ð»k o™k økk¤k{kt h ufk uz o

33000 fhkuz YrÃkÞkÚke ðÄwLkeMktÃkr¥k só fhe Au. yksu rLkð]¥kÚkÞu÷k RzeLkk ðzk fLkko÷®MknLke

yðrÄ{k t ykþhu 390

{k{÷k{k t [ksoþex Ëk¾÷

fhðk{kt ykðe níke. nðu yk

sðkçkËkhe ykEykhyuMk

yrÄfkhe yuMkf u r{©kLk u

MkkUÃkðk{kt ykðe Au. fLkko÷®Mknu

2015{kt Rze{kt sðkçkËkhe

Mkt¼k¤e níke. fLkko÷®Mknu {Lke

÷kuLz®høk, rðËuþe nwtrzÞk{ýÄkhkÄkuhý ¼tøk, ¼úük[kh MkkÚkuòuzkÞu÷k yLkuf nkE«kuVkR÷

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YrÃkÞkLke MktÃkr¥k só fhe Au. ykÃknu÷k 10 ð»koLkk økk¤k{kt yk

yktfzk u {kºk 9003 fhk uz

YrÃkÞkLkku níkku. ºký ð»koLkkøkk¤k{k t Rze îkhk 390

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Au íku Ãknu÷k 10 ð»koLkk økk¤k{kt

{kºk 170 [ksoþex Ëk¾÷

fhðk{kt ykðe níke. ykðe s

heíku VkuhuLk yuõMk[Us {uLkus{uLx

yuõx (Vu{k) nuX¤ Rzeyu8452 fuMk Ëk¾÷ fÞko Au ßÞkhu

2005Úke ÷RLku 2015 ðå[uLkk

økk¤k{kt yux÷u fu 10 ð»ko{kt

9500 {k{÷k LkkUÄðk{kt ykÔÞk

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Au ßÞkhu 10 ð»ko{kt 4725

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ºký ð»ko{kt 33000 fhkuz

YrÃkÞkÚke ðÄwLke MktÃkr¥k só fheAu. yk uøkMxk ðuMx÷uLz,r[ËBçkh{Lku ykðhe ÷uíkk fuMk,Mx‹÷øk çkkÞkuxuf fuMk, rðsÞ{kÕÞk Auíkh®Ãkze fuMk{kt íkÃkkMk

nsw Ãký [k÷e hne Au. Rze îkhkyk¢{fheíku íkÃkkMk fhðk{kt

ykðíkk AuÕ÷k ºký ð»k oLkk

økk¤k{kt {kuxe MktÏÞk{kt MktÃkr¥k

só fheLk u Mk tçk t rÄíkk u Mkk{u

fkÞoðkne fhðk{kt ykðe Au.

yk rMk÷rMk÷k u òhe

hk¾ðkLke çkkçkík nðu

ykEykhyuMk yrÄfkhe yuMkfu

r{©k WÃkh ykðe økE Au.

r{©k RzeLkk [eV rLk{kÞk

xqtf ‚{Þ{kt Œ{k{ Mxuþ™kuxqtf ‚{Þ{kt Œ{k{ Mxuþ™kuxqtf ‚{Þ{kt Œ{k{ Mxuþ™kuxqtf ‚{Þ{kt Œ{k{ Mxuþ™kuxqtf ‚{Þ{kt Œ{k{ Mxuþ™kuy™u xÙu™{kt ¢urzx ŒÚkk zurƒxy™u xÙu™{kt ¢urzx ŒÚkk zurƒxy™u xÙu™{kt ¢urzx ŒÚkk zurƒxy™u xÙu™{kt ¢urzx ŒÚkk zurƒxy™u xÙu™{kt ¢urzx ŒÚkk zurƒx

fkzoÚke …u{uLx fhe þfkþufkzoÚke …u{uLx fhe þfkþufkzoÚke …u{uLx fhe þfkþufkzoÚke …u{uLx fhe þfkþufkzoÚke …u{uLx fhe þfkþuLÞw rËÕne,íkk.28

xÙ u™ ŒÚkk hu÷ðu Mxuþ™ …h‚k{k™ ¾heËðk nðu yk…u hkufz

÷E™u ™nª Vhðwt …zu. {erzÞkrh…kuxT‚o {wsƒ, xqtf ‚{Þ{kt Œ{k{Mxuþ™ku y™u xÙu™{kt ¢urzx ŒÚkkzurƒx fkzoÚke …u{uLx fhe þfkþu.

hu÷ðu rð¢uŒkyk u™ u

…e.yku.yu‚.(…kuELx ykuV ‚u÷)nuLz nuÕz {þe™ yk…ðk™e ŒiÞkhefhe hÌšt Au. yuðwt {k™ðk{kt ykðuAu fu yk «kusuõx 1 ™ðuBƒhÚke

þŒkçËe, ËwhtŒku y™u hksÄk™e suðexÙu™kuÚke þY fhðk{kt ykðþu.

WÕ÷u¾™eÞ Au fu ‚k{kLÞ

rð¢uŒk nkuÞ fu hu÷ðu rð¢uŒk,{w‚kVhku™e VrhÞkË nt{uþk hne Aufu Œu{™e …k‚uÚke ðÄw …i‚k ÷uðk{ktykðu Au. …kýe™e ƒkux÷Úke ÷E™u

[k ‚wÄe ðÄw …i‚k ð‚w÷ðk{kt ykðuAu. nðu {w‚kVhku™u yk ÍtÍx{ktÚke{wõŒe {¤þu. {w‚kVhk u…e.yku.yu‚™e {ËËÚke ‚eÄk hu÷ðu

¾kŒk{kt …i‚k s{k fhkðe þfu Au.