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Transcript: PF Private Retirement Scheme (PRS) PF Agency About our product PF Private Retirement Scheme (PRS) A voluntary long-term savings and investment scheme designed to help individuals save for their retirement. Benefits Benefit of Private Retirement Scheme (PRS) Tax incentives Higher potential returns Flexibility Professional management Long-term savings Portable SWOT Analysis SWOT Analysis S W O T Offers a range of investment options with varying levels of risk and return to suit different investment objectives and preferences. Regulated by the Securities Commission Malaysia to ensure transparency and accountability of the fund managers Limited awareness and understanding of the scheme among the general public. Potential to expand the range of investment options to cater to different market segments. Increased competition from other retirement savings plans or investment options Why choose us? Why choose us? PF Private Retirement Scheme, PF Agency XRetirement Growth, Ditto Wealth Management Minimum investment of RM200 Complicated process Hidden charges High risk Afforable with minimum investment of RM50 Lump sum payouts Flexible withdrawals Death & Total and Permanent Disability (TPD) cover Employee Retention Plan Client's experience Client's experience Client 1 Ellen, 26, a fresh graduate who just got her first permanent job She chooses a PRS provider and selects a diversified investment option that matches her risk tolerance level and retirement savings goals. She makes additional contributions to her PRS account to increase her retirement savings, up to the allowable limit. When Ellen reaches retirement age, she can start withdrawing funds from her PRS account. Ellen also benefits from tax savings on her PRS contributions and investment returns. Conclusion Conclusion Contact us at 0123546789

High Impact

Transcript: High Impact Impact of Pop Culture on Society's Understanding of what it means to be Queer in the 21st Century Interactive Activity History 1930 1980 1950 1920 1970 1990 Music Movies Television Movies TV becomes mainstream no representation Movies queer characters as villains - Caged (1950) queer-coding sissy trope Hays Code ruled unconstitutional homosexuality as a source of humor - The Florida Enchantment (1914) - Wanderer of the Ranch (1927) freedom of expression lesbian prison guard in Caged Hays Code Morocco (1930) Queen Christina (1934) Music Wings (1927) 19th century jazz musicians - Tony Jackson - Bessie Smith - Ma Rainey - Lucille Bogan Bessie Smith, nicknamed the "Empress of Blues" queer artists in other genres Esquerita (rock) Billy Tipton (jazz) Charlie and Ray (R&B) Charlie and Ray Marlene Dietrich in Morocco Esquerita TV 1971: All in the Family 1977: Soap, The Jeffersons Movies Gay characters begin to acquire more depth and self-awareness Music Music TV disco culture sexual liberation movement Elton John, Queen, David Bowie, Grace Jones increased exposure to gender-bending and cross dressing Erasure, Frankie Goes to Hollywood, Pet Shop Boys, Culture Club, etc. Billy Crystal as Jodie Dallas in Soap representation picks up speed Tales of the City, Ellen, Will & Grace Music rise in pro-LGBT legislation more artists condemning homophobia Placebo, Alcazar, Mana "queercore" punk bands - Pansy Division - Tribe 8 Grace Jones Culture Club Tribe 8 performing Ellen DeGeneres coming out on her sitcom in 1997 Modern Representation Consumption: The average american watches more than 4 hours of TV a day Representation: Characters that identify as queer and are portraying queerness Tokenization: Taking one individuals experience and applying it to every member of that group Present Good Representation - natural lgbtq relationship -part of the story/not a big dramatic moment -humane/lgbtq character has an actual life outside of being queer -relationship is explicitly intimate Representation + Consequences No Representation -movie production doesnt include lgbtq stories at all Bad Representation - perpetuates tropes - only point of character is their queerness -character dies off -Queer Baiting -having characters that are straight but have "gay moments" that are never explored or strung out beyond the moment Movies+TV Pose Sassy Black Trans Woman The Circle Token Gay Man/Best-friend Moonlight Euphoria Queer Music Icons KEHLANI - everything in her life is projected and analyzed -heavily sexualized -token/example/role model Music LIL NAS X - heavily scrutinized -becomes his identity and selling point Consumption + Creation Social Media Consumption - Daily representation of "queerness" -Hey mamas -masculine lesbians -perpetuating steryotypes Creation - "and I can't change" trend -but when she loves me trend -we get to create the narriative Greater Impact Personal Impact Idolization encourages the presence of LGBTQIA role models Reflects acceptance and tolerance in our own lives Guiding forces Statistical improvements in acceptance towards queerness Potential to reinforce harmful stereotypes about what queerness looks like Importance of representation Impact Demonstrates how non-queer folks can act as a support system Yet, according to some, this normalizes an unnatural and risky lifestyle Impact Allies on society's understanding of what it means to be queer in the 21st Century Questions & Reflection journal, draw, mind-map & be prepared to share some ideas Questions & Reflection Self Society What is pop culture's role/responsibility in representing the LGBTQ+ community? Has pop culture contributed to a negative or positive societal view of the LGBTQ+ community? Has pop culture influenced your relationship and or understanding of your own sexuality? If so, in what way? Do you feel your own sexuality is and has been accurately depicted in pop culture? How or how not?

High Impact Presentation (Metaheuristics)

Transcript: High Impact Presentations By: Emad Abdalghaffar Metaheuristic Optimization Algorithms ITI Intake 42 - AI 2021 Let us DIVE Inspiration Optimization is the heart of many natural processes: - Natural Selection in the biological evolution, which is based on the the survival-of-the-fittest principle. - Social Swarming of birds or foraging strategies of ants. - Other Natural-Inspired behaviors. Simulating such natural behaviors into computational mechanics in form of computer algorithms, may lead to promising approaches in the nowadays computer-aided engineering designs. Definition Classification of The Optimization Approaches Exploration and Exploitation Balance in MOAs “Optimization” Simple as billiards,... To find an optimal value of a function. > Corresponding to pre-defined variables (DV) > Within a feasible space that bounds those DV. Exploration: The optimizer scans and explores the entire search domain, looking for some promising spots. While Exploitation: The optimizer scans each of these promising spots. Considering the space & time complexity as KPIs. ....derivative-based VS derivative-free Enabling a suitable balance between exploration and exploitation highly increases the optimizer efficiency. Let us EXPLORE MO's State of The Art Trendy & Promising MOs Evolutionary Evolutionary Genetic Algorithm Genetic Algorithm (GA): Is an adaptive heuristic search algorithm based on the evolutionary principles of natural selection and genetics. "survival of the fittest" Swarm Swarm Grey Wolf Optimizer Grasshopper Optimization Algorithm Krill Herd Algorithm It mimics the leadership and hunting mechanism of grey wolves in nature. the prey may be either a randomly chosen solution or the best obtained solution so far, in case of exploration or exploitation, respectively The switch between the exploration and exploitation components is controlled by linear reduction of the parameter “a” from 2 to 0. As, when 0 < a < 1, the value of |A| < 1 which activates the exploitation mechanism, and the opposite occurs when 1 < a < 2. The GWO has only two adaptive parameters: “a” and “C” “a” guarantees the exploration-exploitation balance “C” emphasizes the random search It mimics the swarming behavior of grasshoppers. The grasshopper movement is based mainly on the social interaction with its neighbors. Which is described in terms of attraction, repulsion, or comfort zone state. Next position is based on: - current position (unlike PSO) - target position - other grasshoppers position C is a shrinking coefficient of each zone.. (override the local optimial traps) Decreasing the factor c ensures the gradual convergence (balance between explor. and exloit.). Inspired by the krill (fish) swarming. The random walk depends on: - the swarm movement - seeking food - random motion the krill's objective is a minimum distances of both the center of the herd density and from the food location. It holds the GA operators: crossover and mutation Other Nature-Inspired Other Nature-Inspired Ant Lion Optimizer Imperialist Competitive Algorithm Whale Optimization Algorithm It mimics the smart hunting mechanism of the Antlions. The ALO mimics the interaction between antlions and ants during the hunting process Ants and antlions position: - random walk - building traps - catching preys the ant replaces the antlion if provides better fitness - re-building traps ICA is an evolutionary sociopolitical algorithm. possible solutions are considered as countries. The evolutionary improvement is done through these operators: - Initial population, the best fittneses are imperialists, the rest are colonies. Each imperialist takes over a portion of the colonies according to its power. - Assimilation: where the imperialist influeces the colony country. (like the French and British cultures among their colonies) - Revolution - Title Exchange - Empires survival/collapse - Convergence: when just one empire is survived (called grand empire) The WOA is inspired by the bubble-net hunting strategy. The Arithmetic Optimization Algorithm Inspired by the main arithmetic operators in mathematics: addition (A) subtraction (S) multiplication (M) division (D). Exploration: D & M > high dispersion Exploitation: A & S > low dispersion Let us SPOT few trends Trends: Compatible with ML and DL: - The combination between MOAs and NN is a trending direction in the modern literature that shows high capability in reducing the computational time and efforts. - Equipping AI features (e.g., Fuzzy Logic) within an optimizer, is also trendy as it gets the process done faster and more open to handle general families of optimization problems. - It is trending recently to use a random-search optimization algorithm during the exploration phase just to spot the most promising areas within the search space. Then to employ a deterministic or derivative-based optimization algorithm in order to exploit that promising areas. Reference: www.seyedalimirjalili.com Thanks!

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