Tanzania x baba akifanya mapenzi na mwanawe

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Tanzania x baba akifanya mapenzi na mwanawe

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Siku njema. Mama X, mimi nimechoka tena sina hamu na hao watoto lakini maisha haya ndo yanatufanya tuwatumie wasaidizi. Hako katoto kanaonekana sio kageni na hiyo biashara tena katoto kabaya hako yaani haielezeki.

Naona uchungu sana wanetu wanachofanywa na hawa watoto waloshindikina. Mchukua picha nae aliweza kuvumilia kumuona mototo wakiume akifanyishwa kazi?

Kwakumuungalia binti nae anaonekana hata miaka 15 haijafika lakini ndo ameukomaza muhemuko kama ndo mkubwa. Wazo langu ni hili wazazi tuwafundishe watoto wetu kuhusu viungo vya mwili hasa viungo nyeti ili waweze kuvijua vizuri na kujifunza kuwa hakuna mtu anaeruhusiwa kucheza na hii kitu na mtu yeyote akikusumbua kuhusu sehemu hizi nyeti umwambie baba na mama au kama yupo shule mwalimu.

Amechukua muvi, badala ya kusambaza kwenye media, amechuka hatua gani kwa huyo msichana? Binafsi nimeumia yani nimetokwa machozi maana nina ka baby boy, Daah,sijui niseme nini,ila Tuzidi kumwomba Mungu tu kwan ndiye mlinzi wa watoto wetu,pia Mungu atusamehe sana kwani kwaupnde mwingine nikosa letu wazazi kutowafunza watoto katika njia inayofaa. This is very disturbing. Who do we trust with our children? Now that we are aware, please pull this video down.

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The proliferation in recent years of transparent, sustainably conscious companies such as Warby Parker and Everlane has initiated a radical shift in the retail industry one we can expect to gain greater traction in 2017.

Instead, shoppers have begun gravitating toward retailers who reveal all the inner workings of their operations. Everlane, for example, details the entire production costs of their products: materials, labor, duties, and markup. They also include information on the factories in which products are made, complete with pictures and videos of the employees and factories themselves.

tanzania x baba akifanya mapenzi na mwanawe

Stores providing unique in-store experiences will thrive. Retailers who can provide unique in-store experiences will be king in 2017. Finding ways to match and exceed the seamlessness of online shopping.

Most retailers are attempting to do this by creating omnichannel shopping experiences in other words, by bringing the amenities of the online world into brick and mortar stores.

Customers can use the tablets to scan barcodes and learn additional information about products, to add items to wishlists, and to enlist the help of sales associates in gathering those wishlist items. As in-store experiences become increasingly important to consumers, we can expect to see more retailers invest in similar initiatives.

Retailers across the board will adopt mobile payment solutions. Mobile payments are the way of the (immediate) future. At the end of 2016, projections say there will be 447.To win a bet with such outcome it is necessary that one of the competitors win, the game should not end in a draw. To win a bet with such outcome the second team must win or the game ends in a draw.

Victory of the participant of competition taking into account the handicaps. Handicap can be positive, negative or zero. The handicaps given to the participant are added to the corresponding result shown by the participant in the competition. Payments are made with the winning coefficient mentioned in the program.

If the result is in favour of the competitor, the bets are lost. Double bet of handicap is offered (Asian handicap). Bet on victory or total taking into account the handicap, this is the multiple of 0.

In case when the Asian handicap is included in parlay or system, it is calculated with that odd which would be in case of a single bet. If both common bets are lost, the whole bet considered lost.

In the line this quantity is called total for brevity. For winning it is necessary to guess, whether it will be scored more or less than total in the line, or exactly the specified quantity. At definition of result, the game time is taken into account, according to these rules (see the point 2. At definition of individual totals only the balls kicked into the goals of the competitor are taken into account.

Two variants of betting are offered on total: by two (under or over) or by three (under, over or equal) outcomes. Also double bet of total is offered, which is a multiple of 0. The sum of each common bet is equal to the half sum of double bet. For example:Bet Sport event Double bet of total Odd Sum1 Milan - Juventus Over 2.

One common bet of double total (Under 2) has won with the odd "1", and the other (Under 2. Two common bets of double total (Over 2.View the computer score prediction and who will win the pick on the moneyline for all upcoming NBA matchups here.

Houston Rockets vs Utah Jazz MatchupThe Utah Jazz sport a record of 13-12 and 15-10 ATS heading into this matchup, while the Houston Rockets sit at 18-4 and 13-9 ATS on the NBA season. Stay Informed: follow us on Twitter for odds specials, betting line moves and Utah vs Houston injuries news. The betting Power Rankings at OddsShark have the No.

When it comes to rebounds, the visiting Houston Rockets rank No.

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That compares with Utah's No. The story is different when it comes to three-point shooting where Utah is the NBA's No.

tanzania x baba akifanya mapenzi na mwanawe

Donovan Mitchell chucked in 31 points for Utah on Tuesday, but they still came up short in losing 100-94 at Chesapeake Energy Arena. SHARK BITESThe Jazz are 2-7 SU and ATS in their last nine games with one day off between games. The Rockets are 10-4 ATS in their last 14 games. The Rockets are 5-0 SU and 4-1 ATS in their last five games with three days off between games. Statistical MatchupWhen it comes to rebounds, the visiting Houston Rockets rank No.

Recent Outings Betting RecapThe Rockets blew out the Lakers on Sunday, running up the score in a 118-95 win at Staples Center. NBA Live In-Game Betting Report Injuries Are Mounting for Spurs, but Should Bettors Be Worried.

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Find daily sports betting tips in this section, produced by our knowledgeable and experienced experts. If you are looking for advice for your next sports picks and football betting tips today and tomorrow, then look no further. Liverpool v Everton Betting Tips: BTTS, 2017-12-10 Southampton v Arsenal Betting Tips: Under 2.

Our goal is to support punters and to boost their success in profit returns. Sports betting strategies - winning bets with strategy. Liverpool v Everton Betting Tips: BTTS, 2017-12-10 Southampton and Arsenal may take some ti. Southampton v Arsenal Betting Tips: Under 2. Genk v Eupen Betting Tips: 1 AH-1, 2017-12-09 Wolves to put Sunderland to the sword at. Wolves v Sunderland Betting Tips: Over 2.Input data passed indirectly as one or more URIs of files in Cloud Storage locations.

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Returns as soon as possible. Anyone with Viewer access to the project can request. Must be a project Editor to run. Runs on the runtime version and in the region selected when you deploy the model. Can run in any available region, using any available runtime version. Though you should run with the defaults for deployed model versions.

Runs models deployed to Cloud ML Engine. Runs models deployed to Cloud ML Engine or models stored in accessible Google Cloud Storage locations. The needs of your application dictate the type of prediction you should use.

Batch prediction latency If you use a simple model and a small set of input instances, you'll find that there is a considerable difference between how long it takes to finish identical prediction requests using online versus batch prediction.

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Understanding prediction nodes and resource allocation Cloud ML Engine measures the amount of processing you consume for prediction in node hours. Node allocation for batch prediction The batch prediction service scales the number of nodes it uses to minimize the amount of elapsed time your job takes.

To do that, the service: Allocates some nodes to handle your job when you start it. Scales the number of nodes during the job in an attempt to optimize efficiency.

Shuts down the nodes as soon as your job is done. Node allocation for online prediction The online prediction service scales the number of nodes it uses to maximize the number of requests it can handle without introducing too much latency.

To do that, the service: Allocates some nodes the first time you request predictions after a long pause in requests. Scales the number of nodes in response to request traffic, adding nodes when traffic increases, and removing them when there are fewer requests. Limitations of automatic scaling Cloud ML Engine automatic scaling for online prediction can help you serve varying rates of prediction requests while minimizing costs.

Using manual scaling You can affect the scaling of online prediction for a model version by specifying a number of nodes to keep running regardless of traffic.

Prediction input data The data you use for getting predictions is new data that takes the same form as the data you used for training.


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