Picnic by Moonlight and Mangoes

Jacques Fleury

[Excerpt from Fleury’s Boston Globe featured poetry book Sparks in the Dark: A Lighter Shade of Blue, 

A Poetic Memoir archived permanently at the University of Massachusetts’s Healey Research Library]

 The night is like a whimper whistling

       sweet sounds of the Caribbean dawning

         tense taunted memories supple coconut leaves

  longing rustling uneasily singing their hissing history

    The moon smiling a single icy eye under warm Caribbean skies watching dancing fireflies

     Against the starry sky staring soundly shining as if

     waiting for a shindig for brave night birds to fly sound is silenced noise needs defiance

    fall leaves layer upon layer interwoven to make a motley leafy magenta blanket above the               

      dirt you walk in like a frumpy flirt picnic basket brimming in big Haitian hands

          singing a tune like you in a calypso band

            bruised burnished back against the moon I emerge like a boasting butterfly from the cocoon

   to see your gesture jesting me than you kneel dumb down by me leaning closer learning me

   you placed your lips perched planting a putrid punch-drunk kiss upon me

   I could smell your taste like garnished waste tepid against my lucid lanky cheeks

     Cheeks as daunting and dazzling as the moon itself than I bury my bumbling quivering hands

   Into your buxom basket winced and wrench out a near perfect pound of reddish round mango treat 

“go ahead, bite me!” 

      I hear it sing your beat jesting me testing me vesting me

        I look up as if to say to see your burning eyes beaming looking back at me like the moon mauled against 

   the aching sky you see still staring back at me as if crouching to flee I tilt my head 

   hanging to the right then I tilt my head hanging to the left

watching your blood bleeding red swollen mango beauty erected!

 basking in your basket black memory detected than most carefully 

   I slant tauntingly toward this your gallant gaudy fruit

    rowdy rueful having lost its roots perch and peck

      my lips than sank my bucking beak beneath the stuffy skin your juicy fruit dangling drooling    

      down my chin than I lay my back buried down wincing waiting quietly to hear your 

   queer croaking rooster sound staring happily into the glare of sensual satiable 

   Caribbean skies while watching fireflies stock full of colonial flare flying hovering 

   tired hanging onto the tarry air autumn stifled squirming to breath beneath heavy hung Haitian thighs

    You could almost hear its sweaty seethe that I should sing release all Haitian flies!

    Oppression deflates exhausted satisfaction sighs…finally anxious desire daring to escape

    You’ll find it squandered and spent along the cape then laying back secretly satiated under this tree your ruby red 

           mangoes falling like loads of glory! raining down on me like a fetish fantasy

           And for a second forgetting my wanton woe laying low under your shadow’s fro

           Ooooh yes you please me like a pro! i say islander scavenger

        feed me your juicy mango    flow

                As I lay back to bask while your

                                   wise fluid moon glow    sow…–

STRATEGY FOR THE USE OF ARTIFICIAL INTELLIGENCE IN UZBEKISTAN AND ANALYSIS OF TYPES OF ARTIFICIAL INTELLIGENCE

Raxmatullayeva Dilnavoz Ziyodulla kizi

Tashkent State University of Economics, 

Faculty of “Digital Economy and Information Systems” 

Department of  “Information Systems and Technologies” 

ATT-76 group student.

Abstract

The reason for choosing this topic is to analyze the current state of digital transformation processes and artificial intelligence (AI) technologies in the Republic of Uzbekistan. During the research, various forms and directions of artificial intelligence, as well as its theoretical foundations, were analyzed. The main part of the article is devoted to the priority directions of the state strategy of Uzbekistan, the legislative base, and the efficiency of implementing these technologies in real sectors of the economy. As a final conclusion, the author puts forward a number of proposals for improving the national IT ecosystem and ensuring technological security.

Key words: Artificial intelligence, digital transformation, “Digital Uzbekistan – 2030”, neural networks, cybersecurity, algorithms, biometry.

Introduction

At the stage of modern development, it has become a difficult task to imagine all aspects of human activity without artificial intelligence (AI) technologies. This technology has become deeply integrated into our daily lives, successfully performing a wide range of functions, such as biometric identification (facial recognition), financial transaction analysis, and personalized recommendations based on individual consumer preferences. In the context of Uzbekistan, artificial intelligence is not just a theoretical concept, but a practical tool that is being applied to real socio-economic processes. It is worth noting that, along with the rapid evolution of SI technologies, issues of their security and legal regulation are also among the most pressing problems. The development of this industry in our country should be based not only on technological efficiency, but also on the principles of full compliance with cyber security requirements and our national values ​​and ethical (ethical) norms. The main objective of this study (article) is to conduct a comprehensive analysis of the strategy for using artificial intelligence in the Republic of Uzbekistan and to provide a scientific and theoretical justification for its effectiveness in various fields. The introduction of new technologies is a priority of state policy within the framework of the Digital Uzbekistan-2030 strategy. The current era has made us not only observers of technological changes, but also direct participants in these transformative processes. Intelligent algorithms are now recognized as the main driver and driving force of economic growth.

According to forecasts from international expert agencies, by 2030, artificial intelligence is expected to contribute $15.7 trillion to the global economy. These digital indicators require strategic and bold initiatives from every country, including Uzbekistan. Uzbekistan is on the way to take its rightful place in the global competitive environment and ensure its digital sovereignty. The decisions No. PQ-4996 of 2021 and No. PQ-358 of 2024, adopted by our esteemed President, serve to strengthen the legal and institutional foundation in this regard. Our strategic goal is not just to be a consumer of ready-made technological solutions, but to have a decent export share in the artificial intelligence services market by 2030. The study analyzed innovative ideas about the ability of SI algorithms to think cognitively like humans and perform complex tasks autonomously. The integration of artificial intelligence into networks allows for the optimization of product and service quality, minimizing (reducing) errors associated with the human factor. One of our country’s long-term goals is to join the world’s top 50 leading countries by increasing the volume of artificial intelligence services to $1.5 billion. The research process prioritized the scientific analysis of complex configurations of artificial intelligence (AI) systems and the identification of promising areas for the use of these innovative solutions within the framework of a national strategy. This process identified existing barriers to the implementation of SI systems and developed analytical proposals to overcome them. It is worth noting that bringing the cognitive capabilities of AI to the level of human intelligence, that is, forming the ability of algorithms to autonomously perform complex tasks, is the main paradigm of the global technological trend.

Thematic literature analysis 

When approached from a scientific-theoretical perspective, the fundamental basis for problem solving in artificial intelligence (SI) Systems is data search (Data search) algorithms. The cognitive activity of rational agents relies on linear search and other strategic technical methods. However, analysis suggests that traditional linear algorithms significantly lose their operational efficiency under” Big Data ” (Big Data) Flow conditions, leading to excessive consumption of computational resources. This can cause critical delays (latency), especially in real-time decision-making systems such as medicine or autonomous transportation (autopilot). Strategic infrastructure and economic multiplier effect: as noted by the famous economist Klaus Schwab (The Fourth Industrial Revolution), the state strategy should not only be limited to technological transfer, but also ensure the synchronous integration of legislative, ethical and Personnel Training Systems. Investment analysis: The experience of South Korea proves that an investment of $1 in digital infrastructure brings an economic benefit (dividend) of $13 to the country’s GDP. Network effect( Network Effect): as the number of users in the system and the volume of data exchange increases, the total value and efficiency of the network increases in geometric progression. Smart City (Smart City) and logistics transformation

“Smart city” projects of South Korea can be seen on the example that traditional algorithms face the problem of “congestion” (bottleneck) when processing data coming from thousands of sensors. As a solution, optimized SI agents and data processing centers (Data-centers) perform analyses at one thousandth of a second. This allows: Dynamic traffic management, Reduced fuel consumption and environmental impact, and Maximizing logistics efficiency.

Research methodology. 

Taking into account the above, in all areas of our society, artificial intelligence is being tested and experimented with in all areas, based on the demands of today. In every economic system, whether it be in business, education, or any other field, one of the main strengths is to stay ahead of the competition by adopting and implementing technologies that they have not yet adopted. Therefore, research in this area continues consistently. 

Analysis and Results

The main obstacle identified by the study is the exponential increase in computational time (latency) as the amount of data increases. Overcoming this problem requires not only improving algorithms, but also developing a legal and ethical infrastructure. Strategic measures aimed at reducing the digital divide by 30 percent in Uzbekistan are of deterministic importance in ensuring the competitiveness of the national economy.

In the context of the modern economic paradigm, artificial intelligence (AI) has risen to the level of a strategic resource that determines the competitiveness of states in global markets, and not just a technological tool. In Uzbekistan’s national development strategy, SI is recognized as a fundamental driver that will fundamentally transform the energy and finance sectors. According to expert analysis, by 2026, Natural Language Processing (NLP) technologies will show an annual growth rate of 25 percent in the global market. In the context of Uzbekistan, automating public services through intelligent chatbots can optimize (save) operational costs by up to 40 percent. “Cognitive analysis”: the symbiosis of “fast” and “slow” thoughts applying Nobel Prize winner Daniel Kahneman’s (Thinking, Fast and Slow) theory of cognitive psychology to SI agents takes system efficiency to a new level: fast system (instinctive reaction): processing data in a moment and responding immediately to standard situations (e.g., stopping when seeing an obstacle). Slow System (Logical Analysis): Strategic planning and decision-making based on deep logical analysis in complex situations. A true “Rational Agent” should not only be limited to instinctive reactions, but also ensure the synchronous operation of both systems mentioned above.

The evolution of SI systems requires a transition from a simple command executor to the status of a “Predictive Agent”. Deloitte research shows that integrating such agents into the industry: Reduces maintenance costs by 20%, Increases production efficiency

10 percent increase.

Scientific perspectives and hypothetical modeling according to the forecasts of industry leaders such as Yann LeCun (a Path Towards Autonomous Machine Intelligence) and Demis Hassabis (the Future of AI and DeepMind’s Vision), in the future, SI agents will not only perform daily routine tasks, but also have the ability to independently formulate and verify complex scientific hypotheses. This is a strategic step towards General Artificial Intelligence (General AI).

According to the well — known theorist Stuart Russell (a Modern Approach) ‘ s vision of Cognitive Systems, a rational agent is not just a software product consisting of a strictly algorithmic sequence, but an independent cognitive unit directed to achieving optimal outcome based on data from an exogenous (external) environment.

While simple computing devices (calculators) are limited to performing deterministic mechanical operations, rational agents are characterized by analyzing dynamic reality and making adaptive decisions. The fundamental basis of Russell’s theory is described through the following three priority areas (pillars): perceptive perception of the environment (Sensorics): the Agent must interpret the external environment through various sensors, sensors and a large-scale database (Big Data). For example, in the agricultural sector, by monitoring humidity levels or monitoring real-time changes in financial market conditions, the agent determines the appropriate “trajectory of action” for the situation.

Algorithmic analysis and strategic modeling: A rational agent is not just a passive data collector, but an intellectual entity that filters them through an analytical filter. It selects the most effective scenario from millions of variations to achieve a specified goal (e.g., increasing productivity or maximizing financial profitability).

A logical extension of human cognitive capabilities: Artificial intelligence is not a replacement for humans, but rather a “cognitive extension” that expands their intellectual potential. In a situation where the human brain is not capable of simultaneously controlling trillions of transactions, AI systems act as a perfect tool for providing ready-made analytical solutions. 

“Digital Uzbekistan – 2030” and Institutional Transformation.

Russell’s theoretical concepts (Logical Atomism) scientifically substantiate the economic drivers in the Republic of Uzbekistan’s strategy for transition to a digital economy. The systemic approach shows that the strategic directions, technological classification, and agent mechanism within the Digital Uzbekistan – 2030 program form a holistic execution chain. The integration of this trio is a key factor in ensuring a sustainable transition to an innovative economy. 

Cognitive Architecture and Future Predictions.

In the evolution of artificial intelligence agents, Daniel Kahneman’s (Thinking, Fast and Slow) theory of cognitive systems plays an important role:

System 1 (Rapid and instinctive): Rapidly receiving information and responding to a primary signal.

System 2 (Deep and Analytical): The ability to predict future anomalies and strategic planning by algorithms. The concept of “General Artificial Intelligence” (AGI), proposed by scientists such as Yann LeCun and Demis Hassabis, is based on the symbiosis of these systems. SI technologies will provide a “second wind” in the modernization of energy and agriculture. According to Klaus Schwab’s theory (The Fourth Industrial Revolution), the strength of the infrastructural foundation directly depends on the degree of integration of intellectual agents into networks. Within the framework of these global trends, Uzbekistan’s performance in the Global AI Readiness Index is a testament to the country’s bold steps towards digital sovereignty.Our country has risen 25 places since 2023, ranking 62nd in 2025 and becoming the absolute leader in Central Asia. We see that these successes are backed by clear investments, with $50 million allocated to purchase 16 supercomputers in 2025. Currently, more than 30 pilot projects have been successfully launched, and it is planned to increase their number to 100 in the future. The issue of personnel has also not been ignored – the number of residents of the IT park has exceeded 3,300, and quotas for artificial intelligence in higher education have been expanded by 35 percent. It can be said that the core of Uzbekistan’s strategy relies on the principle of data-Driven Approach (Data-Driven Approach). It is not just working with numbers, but rather concentrating all government agency data on a single “Data-lake” (data lake) system and ensuring their quality (Cleaning and Pre-processing). An Agile (flexible) approach to project implementation has been chosen. The process is first checked in “Sandbox” (test area) mode in small areas and, once the effectiveness is proven, spreads throughout the Republic scale (Scaling). The most important thing is that we have the principle of “man in the center” (Human-Centric AI) as a priority. This methodology sees artificial intelligence as an instrument that expands a person’s capabilities rather than a substitute force. In this case, the objectivity of the algorithms (bias-free) and compliance with ethical norms are strictly controlled. There is also a special emphasis on training not only programmers, but also doctors and teachers who can work with artificial intelligence. Predictive analysis (Predictive Analytics) and hybrid techniques are widely used, as stated in the asosic scientific part of the strategy. By clustering the social needs of the population, a system of providing targeted assistance is being established. Uzbekistan has carefully studied the UAE’s ministry-level experience in artificial intelligence, South Korea’s industrial automation methodology, and Estonia’s digital identification systems in determining its own path. Ultimately, the effectiveness of a strategy is measured by specific KPI indicators: the economic return on investment (ROI) of each dollar invested and social factors such as reduced public service delivery times serve as key criteria. Uzbekistan’s digital transformation process relies on a massive flow of data from various government agencies. However, a major technical obstacle is that data from the statistics, tax, or healthcare sectors have different units of measurement. For example, population (in millions) and gross domestic product (in trillions) cannot be directly compared. Therefore, the strategy uses the Z-score standardization method. This method scales all indicators to a single scale, preventing algorithms from over-emphasizing (bias) a particular indicator. The four main steps that form the basis of the methodology can be analyzed as follows:

1. Bayesian Probability: The “Smart” Updating System, the “Smart Management” section of the strategy, uses a probability analysis (Probabilistic Reasoning) method based on Bayes’ theorem. The unique feature of this method is that it updates initial assumptions in real time as new evidence emerges. For example, in agriculture, the expected yield factor is recalculated as soon as new information regarding weather changes arrives. This allows the system to always make the most pressing decision in changing conditions. 

2. Measuring model accuracy: To minimize error, the quality of any prediction model is measured by how close it is to the true outcome. The Mean Squared Error (MSE) method is used for this. Our main methodological requirement is to reduce the difference between the prediction given by the model and the result in real life to a minimum (around 5-10%). Only then can you confidently talk about economic efficiency. 

3. Regression and Optimization: Linear and nonlinear regression models are used to search for dependencies and find hidden relationships between socioeconomic indicators. In this, the most accurate mathematical model of the country’s development is formed by optimizing special coefficients (weight and deviation). This gives us the idea that “what little change in a sector has the greatest positive impact on the economy?”to help find the answer.

4. Strategic Monitoring and KPIs: Measuring the result, the methodology forms a complete chain: from data preparation to statistical analysis of the result. The focus is on indicators such as the government’s SI preparation index and the return on investment (ROI) of the investments made. In conclusion, this methodological chain proves that artificial intelligence is not just an abstract technology, but a practical management tool based on concrete numbers and measurable results.

Linear and nonlinear regression models were used in the study to identify hidden, multi-factor relationships between socio-economic indicators. This econometric apparatus makes it possible to formulate a clear mathematical model of the country’s development by optimizing weight coefficients and deviation parameters. This methodological approach is based on the question ” which minimum positive change in the economic segment will have a multiplicative effect at the macroeconomic level?”provides a scientifically based answer to the strategic question. Strategic Monitoring and Investment Return on Investment (ROI) The established methodological chain covers the entire cycle, from the initial data preparation to the statistical verification of the final results. The main focus is on the following indicators: Preparatory Index for SI: The level of compliance of the institutional and technological infrastructure. Return on Investment (ROI): The economic efficiency ratio of the invested capital. In conclusion, this system proves that artificial intelligence is not an abstract concept, but a practical management tool based on specific digital indicators. Exponential Development Trajectory of the Global AI Market

The results of econometric modeling show that the dynamics of the global artificial intelligence market are exponential rather than linear. Critical point (Tipping Point): 2025 will serve as a “sharp turning point” for the global SI market. Forecast indicators: in 2020, the market volume was about US $ 50 billion, while by 2030 this figure is projected to grow more than 17 times and reach $ 850 billion.

Analysis and results.

Analysis of the domestic market of Uzbekistan shows the following specialization landscape in the application of SI types: NLP (natural language processing) – 35%: occupies a leading position in the public services and banking sector as a result of high demand for intellectual systems of the Uzbek language. Computer Vision – computer vision) – 25%: widely used in security systems and monitoring processes. Predictive analysis (Predictive Analytics) – 20%: is actively applied in the fields of Fintex and economic forecasting.

Within these indicators, the 60 percent growth in the Public Services segment is the result of the minimization of bureaucratic processes and the automation of decision-making mechanisms. This confirms how realistic the strategic target of reaching $1.5 billion in SI product sales by 2030 is.

Conclusions and recommendations.

The analysis carried out shows that the SI strategy, designed before 2030, serves as the most fundamental determinant (determining) factor in the digitization of the country’s economy. At this stage, the 35% share of NLP technologies confirms the need for models based on national languages. The establishment of supercomputers and data centers is a solid foundation for ensuring Uzbekistan’s global competitiveness. Scientific analysis of complex types of artificial intelligence and their effective application within the framework of our national strategy will guarantee systematic growth in all sectors of the economy. Artificial intelligence will serve as a deterministic factor in increasing productivity in all sectors. However, in order to minimize the risk of technological errors, the system must be constantly verified and under human control.

List Of Literature Used

1. https://ibb.co/yc1WCn0d   “Promising Tasks”.

2. https://ibb.co/tT2vNp3Z “predictive Agent (Predictive Agent) concept”.

3. https://ibb.co/v496wZrk “Fundamental of Russell’s theory”.

4. hujjat24.uz

5. hujjat24.uz

1.1Klaus Schwab “The Fourth Industrial Revolution” (The Fourth Industrial Revolution).

2.1.Daniel Kahneman “Thinking, Fast and Slow” (Farrar, Straus and Giroux).

3.1.LeCun, Y. “A Path Towards Autonomous Machine Intelligence”. OpenReview.

4.1.Hassabis, D. (2023). “The Future of AI and DeepMind’s Vision”. Google DeepMind Blog.

5.1Russell, S. J., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson (4th Edition). [World-class basic textbook on AI].

6.”On measures to create conditions for the rapid introduction of artificial intelligence technologies.” Resolution of the President of the Republic of Uzbekistan, No. PQ-4996, dated 17.02.2021.

7.Resolution of the President of the Republic of Uzbekistan No. PQ-358 dated October 14, 2024 “On Approval of the Strategy for the Development of Artificial Intelligence Technologies until 2030”

8. Decree No. PF-6079 on the approval of the Digital Uzbekistan – 2030 strategy and measures for its effective implementation.

Love in the Afternoon

At 13 I entered eighth grade, where I fought the wars against acne, awkwardness and loneliness. The first time that I made love, I was 17. It was with a young woman whom I loved passionately and who returned my feelings. The first time that I had sex, however, I was just 13, and love played no role in the procedure. And my older brother Joey had a hand in that too, though remotely. My first sex partner was a lewd, gruff, 17-year-old scold with a messy beehive hairdo and a brisk, no-nonsense manner.

“C’mon,” she said, leading me to the backseat of a Plymouth parked under a shade tree. Sliding along the nylon bench seat after her, I was wide-eyed with apprehension. My brother had arranged all this, because he was embarrassed that his brother, who was now in junior high, hadn’t yet had any “tail.” Not the least part of it was that Joey’s friends had taken to referring to me as “your homo brother.” Joey had informed me in a brief phone chat that I would lose my cherry to someone named Sharon.

“Get undressed,” she ordered me, removing only her tight skirt and then her panties. Her blouse and her shoes remained on. The beehive danced crazily against the window. I marveled at her massive breasts. Quickly, I disrobed, then waited expectantly. Next to me on the blue-upholstered seat, she spread her legs, pointed to her bare privates and said, “Do your business.” I had devoured Playboy Magazine and so I was surprised to discover that women had hair on their genitals. I took a breath. hovered uncertainly over her prone form for a few moments, before she impatiently grasped my virgin manhood and forcibly inserted it into her vagina.

Yikes! I thought wildly, I’m actually doing it. Blood rushed to my head and time stood still. No more than five minutes later, the experience had concluded and Sharon was impatient to quit the love nest. She donned her panties and skirt again, shoved past me on the seat and left without a word. She didn’t look back.

What a disappointment, I thought, pulling up my jeans. It was so impersonal, more impersonal even than masturbating, which my mother had said would turn me blind. I shook my head, and was reminded of a joke my friends told: “I’ll only do it till I need glasses.” Sex, despite all I’d heard about it, was not what it was cracked up to be. In fact, but for one otherworldy occasion, it was four more years before I took another lover. At least I saved my eyesight, I thought bleakly.

LOVE AND LONELINESS

You are at your best 

And the world too 

Is a lot richer 

When you are following 

The commands of your heart.

Fulfilling a destiny you desire.

Heart has a great companion

Fantasy 

And your imagination 

Supplies everything 

That you feel 

Starved of 

Mind is a critical device 

Douses your  imagination 

Quenches fantasies

And takes your wings off 

Leaving you to 

To crawl 

Those who followed 

Their heart

Accomplished great things 

Yet lived in self imposed exile 

And died with a feeling 

Of partial fulfilment 

The mental hounds too

Accomplished great things 

Yet they felt in their sides

An emotional hollow

They were lonely 

In their final moments

If we kept guns in the house we would all be dead by now

That’s how angry my brother gets

That’s the legacy of apartheid

That’s legacide

Maybe one day

Someone will write a book 

about addiction

and then bother to get it right.

Craig Kennel

Gibran, poor guy!

He felt the weight of the world early on in his young life

One day, my childhood best friend disappeared

In my dreams, I walk the streets

Calling his name

Only to be greeted by the moon and the stars

Only the flowers in springtime are resurrected

Only the inner voice of the trees

And like him, I will never marry

And like Gibran, I will never marry

While I rise and fall,

the poetry is the light

Now my childhood friend

I find you in springtime

I find you in the song of the flowers

Even the stars and moon

acknowledge you now

You are light

You have become the light in me

Yes, my friend, I carry your memory gently now

Yes, my friend, you are the light in me.

October

There is a feeling this October

that the winds will be harsh in the

winter of uprising. The birds will fly

into another world and our winter of longing

will climax. October is autumn, the leaves

are dry. October brings with it winter’s

wistful coming. October is nostalgia,

school is coming to an end, gathers momentum

of dust, and trees withered are left at winter’s

cold feet.

October tells tales of desiccated fields

and the wind reminds that the cycle is complete.

What if there is no October?

Will winter’s onslaught be harsher?

I take a turn around. Memories.

October seems nearer and nearer

close, close to unfulfilled desires.

And somewhere the head rattles

into impassive silence.

October.

Me, You

If there is anything that

memory cannot

it is I.

If there is anything that

memory corrupts it is

You.

If there is anything in the past

which we call Memory

It is subaltern fears

And, if there is anything

that causes death of memory

it is me, you, circumnavigating

in shores of seas.

Childhood

Look at the child who helps

in selling tea. She ‘ helps ‘

does not sell.

We sell our souls

and she sells her childhood.

Expletives

I am forever in the shuttle

of a verb, the feeling and ego

of the noun.

My adjectives are expletives.

Education 

Education means 

Learning about history and geography and culture 

School is a place where you can meet your friends and discover so many things about life 

One day fire fall down 

Crushed to the class

Killing so many children 

Innocence met death

So many souls go to heaven 

We pray everyday 

Children who will never see the colour of the rainbow 

………..

Contact

 I forgot what a kiss is The taste of an afternoon coffee.

So as the waves pulled from the land, I feel like a desert ship.

Contact I forgot what that word means, Shipwreck for months In books I look for a meaning to embrace me, to tell me everything will be fine ..

 To go and leave those roses in my father’s memory, To light a candle to the Virgin Mary.

Contact, To be in your dream hug Let me see your eyes To smell your perfume I’m looking for that word in that old dictionary

From Eva Petropoulou, Greece