Africa
Data-Driven Prediction of Maternal Nutritional Status in Ethiopia Using Ensemble Machine Learning Models
Tessema, Amsalu, Bayih, Tizazu, Azezew, Kassahun, Kassie, Ayenew
Malnutrition among pregnant women is a major public health challenge in Ethiopia, increasing the risk of adverse maternal and neonatal outcomes. Traditional statistical approaches often fail to capture the complex and multidimensional determinants of nutritional status. This study develops a predictive model using ensemble machine learning techniques, leveraging data from the Ethiopian Demographic and Health Survey (2005-2020), comprising 18,108 records with 30 socio-demographic and health attributes. Data preprocessing included handling missing values, normalization, and balancing with SMOTE, followed by feature selection to identify key predictors. Several supervised ensemble algorithms including XGBoost, Random Forest, CatBoost, and AdaBoost were applied to classify nutritional status. Among them, the Random Forest model achieved the best performance, classifying women into four categories (normal, moderate malnutrition, severe malnutrition, and overnutrition) with 97.87% accuracy, 97.88% precision, 97.87% recall, 97.87% F1-score, and 99.86% ROC AUC. These findings demonstrate the effectiveness of ensemble learning in capturing hidden patterns from complex datasets and provide timely insights for early detection of nutritional risks. The results offer practical implications for healthcare providers, policymakers, and researchers, supporting data-driven strategies to improve maternal nutrition and health outcomes in Ethiopia.
Exploring Data and Parameter Efficient Strategies for Arabic Dialect Identifications
Kanjirangat, Vani, Dolamic, Ljiljana, Rinaldi, Fabio
This paper discusses our exploration of different data-efficient and parameter-efficient approaches to Arabic Dialect Identification (ADI). In particular, we investigate various soft-prompting strategies, including prefix-tuning, prompt-tuning, P-tuning, and P-tuning V2, as well as LoRA reparameterizations. For the data-efficient strategy, we analyze hard prompting with zero-shot and few-shot inferences to analyze the dialect identification capabilities of Large Language Models (LLMs). For the parameter-efficient PEFT approaches, we conducted our experiments using Arabic-specific encoder models on several major datasets. We also analyzed the n-shot inferences on open-source decoder-only models, a general multilingual model (Phi-3.5), and an Arabic-specific one(SILMA). We observed that the LLMs generally struggle to differentiate the dialectal nuances in the few-shot or zero-shot setups. The soft-prompted encoder variants perform better, while the LoRA-based fine-tuned models perform best, even surpassing full fine-tuning.
Early humans reached Europe via an Ice Age land bridge from Turkey
The never-before-studied region'holds vital traces of early human activity.' Breakthroughs, discoveries, and DIY tips sent every weekday. It took time for ancient humans to finally arrive in present-day Europe . The common consensus is that some of the earliest trekked thousands of miles from Africa and across the Middle East before reaching the Balkans. However, an archaeological team in Turkey says a major historical reassessment is required after they discovered nearly 140 Stone Age artifacts along the country's Aegean coast.
Should you buy a soundbar for your TV? Here's our expert take
Donald Trump's helicopter is forced to make an emergency landing with US President and Melania on board Disturbing full story of singer D4vd's relationship with girl, 13, found dismembered in his Tesla... as creepy messages, songs and links to stars are exposed'Signal 13' cop killer Matthew James Ruth donned camo and binoculars to stalk ex-girlfriend then slaughtered her helpless Labrador before murdering three officers I predicted Jimmy Kimmel's downfall. Want to understand why Disney's Bob Iger REALLY canceled Jimmy Kimmel? MARK HALPERIN brilliantly breaks down this seismic shift in America's culture war Melania insider JANE TIPPETT: I was aghast at that dress and hat, then it dawned on me... everyone has missed something quite radical Millions under tsunami threat as fallout from monster 7.8 earthquake threatens US Humiliating state of Joe Biden finances revealed: Unwanted president can't get a paid job and will likely die in debt'Israel-hating' man, 22, sports ponytail as plot to'assassinate' Republican governor is revealed Congressional staffer, 35, dies after CATCHING FIRE at her Texas home... as her eerie last words are revealed Charlie Kirk suspect's disturbing secret kinks: Sickening cache of porn searches revealed... his pedophile friend.. and'Furry Shades of Gay' game Mindset driving celebration of Charlie Kirk's death revealed... as Jimmy Kimmel is canceled over comments Chanel-toting'Karen' treats cops like servants as she's marched out of plane's first-class cabin for entitled behavior Jimmy Kimmel goes nuclear over ABC cancelling him for outrageous Charlie Kirk comments... as insiders reveal he ALREADY has new job plans Terrifying risks of new Ozempic trick celebrities swear by... but one woman tells us: 'I'm willing to take my chances' The unsolved family murder that haunted Robert Redford for decades... as police reveal'new evidence' on'killer' who is STILL one of America's most wanted Turning Point USA names Charlie Kirk's widow Erika as its new CEO Should you buy a soundbar for your TV? Here's our expert take Daily Mail journalists select and curate the products that feature on our site. And with them being sold and seen at just about every tech retailer, everyday shoppers are wondering two things: What do they do? Well, I'm here to give you my expert take on all-things soundbars and answer those burning questions, and then some.
Eyeing the future of self-driving cars, Musk's Tesla settles accident case
Eyeing the future of self-driving cars, Musk's Tesla settles accident case Billionaire tycoon Elon Musk's Tesla has said its future will be centred around Robotaxis, robots and self-driving cars. Musk's own fortunes, including the promise of a $1 trillion pay package, will depend on the carmaker hitting those milestones over the next decade. One key feature to achieve some of those goals revolves around Tesla's ability to offer a fully self-driving service - the company is required to sell up to 10 million subscriptions for self-driving cars as one of the conditions in the proposed trillion-dollar pay package. That is not a spotlight that Tesla wants, and the company recently settled with the family of a 15-year-old boy in San Francisco who died in 2019 after a Tesla self-driving car hit the car his father was driving, court filings on Monday showed. The family of Jovani Maldonado had alleged that the self-driving car was at fault for the accident. The settlement came weeks after a Florida jury ordered the company to pay $243m in damages to the family of a female pedestrian who had died in a crash involving a Tesla self-driving car.
Massive Attack remove music from Spotify to protest against CEO Daniel Ek's investment in AI military
Massive Attack remove music from Spotify to protest against CEO Daniel Ek's investment in AI military The band cited a'moral and ethical burden' placed on artists by revenue from their work ultimately funding lethal technologies Massive Attack have become the latest act - and first major-label one - to pull their catalogue from Spotify in protest at founder Daniel Ek investing €600m (£520m) in the military AI company Helsing. In June, Ek's venture capital firm Prima Materia led the defence tech firm's latest funding round. Helsing's software uses AI technology to analyse sensor and weapons system data from battlefields to inform real-time military decisions. It also makes its own military drone, the HX-2. Ek is also chairman of Helsing.
How is China using AI in the classroom?
The Take How is China using AI in the classroom? Artificial intelligence education now starts at the age of six in China. The Ministry of Education has rolled out new guidelines to teach AI at every grade level. For President Xi Jinping, AI is a priority. Will the toddlers of today be the tech titans of the future?
Suspected Houthi drone attack strikes Israeli city of Eilat
The Israeli military says a drone launched "from the east" crashed in the southern city of Eilat, causing material damage but no casualties. The drone reportedly fell in the city's hotel zone. Israel has repeatedly conducted its own attacks on Yemen. Following its bombing of Qatar on September 9, Israel intensified its strikes on Yemen, killing dozens. The drone attack in Eilat follows a series of 12 strikes carried out by Israel on Tuesday against Yemen's port of Hodeidah.
Nvidia to become one of Intel's biggest shareholders with new investment
Trump's UK visit: What to know What did Jimmy Kimmel say about Charlie Kirk? How tariffs are unraveling India's textile industry Nvidia to become one of Intel's biggest shareholders with new investment Nvidia says it will invest $5bn into Intel, throwing its heft behind the struggling US chip company, but has stopped short of giving Intel a crucial manufacturing deal. Nvidia, which is based in Santa Clara, California, announced the investment on Thursday. TSMC currently manufactures Nvidia's flagship processors, a business that the world's most valuable company could one day extend to Intel. AMD, which competes with Intel for supplying chips to data centres, also stands to lose because of Nvidia's backing of Intel.
Woman, 84, horrified after stomach-churning discovery in Morrisons juice: 'Dead snake' slithered out of carton
Jon Stewart leads defense of Jimmy Kimmel as late night hosts unite to mock Trump's'censorship' Trump just humiliated Harry and Meghan with two brutal words... but even more embarrassing is the reason they're having to stay silent: MAUREEN CALLAHAN Disturbing full story of singer D4vd's relationship with girl, 13, found dismembered in his Tesla... as creepy messages, songs and links to stars are exposed Utter chaos breaks out backstage at The View over Jimmy Kimmel: Hosts at war and staff in fear... as network bosses impose strict new'rule' The strain shows on Jimmy Kimmel as he emerges for first time after show's shock cancellation Queen Camilla appears to'pull rank' as Kate chats animatedly with Melania during State visit - and ushers Princess back towards William Seth Meyers responds to Jimmy Kimmel cancellation with dose of mockery for Trump: 'A great president, an even better golfer' President of America's biggest university forced to step down over'transgender indoctrination' Starbucks responds after barista refuses to write'Charlie Kirk' on customer's cup due to'policy' Millions under tsunami threat as fallout from monster 7.8 earthquake threatens US Woman, 84, horrified after stomach-churning discovery in Morrisons juice: 'Dead snake' slithered out of carton Two elderly women were left horrified and upset when they found a'dead snake' in a carton of fruit juice--and refuse to believe supermarket bosses' claim that the foot-long gelatinous entity is merely a string of mould. Betty Richards, 84, bought a carton of apple and mango juice from the Armthorpe branch of Morrisons as a treat for her best friend of twenty years, Julie Bircumshaw, also 84. The BBC reports that Ms Bircumshaw noticed some'bits of black' around the opening of the 1L carton, but after tasting the juice, thought it was fine to drink. When Ms Richards popped over to see her friend at home in Doncaster a week later, she was told about the discolouration around the nozzle. She was concerned, and decided to take a closer look at the £1.35 carton--which was almost empty.