5983. Black-bellied whistling ducks (Dendrocygna autumnalis)

Canon R5 300mm., 1/400 sec, f/16, iso 640
26 Apr 2026. 11.12am. Bird Paradise

5982. Roseate Spoonbill and American Flamingo

 

 

 

 SINGAPORE - 26 APR 2026: 11am. The Roseate Spoonbill (Platalea ajaja) is a social wading bird of the ibis and spoonbill family, Threskiornithidae. It has a grey spatula-like bill, white neck, back and breast with a tuft of pink feathers in the center. The American Flamingo (Phoenicopterus ruber) is a large species of flamingo native to the West Indies, northern South America. It has reddish-pink plumage.

The roseate spoonbill forages in murky waters. It seeps its spatula-shaped bill side to side to sift through the shallow water for shrimps, crabs and fish. 

Bird Paradise

26 Apr 2026. 10.56am

Canon R5 170mm, 1/200 sec, f/16, iso 640

 

 

5891. Plantain squirrels in YCKC

 

 

SINGAPORE: 30 APR 2026: 8.14am. YCKC forest. I was walking along the quiet stretch of the road, opposite the river bank. Suddenly, a noise rustle in front of me. This Plantain Squirrel hopped up the tree trunk.   

Plantain Squirrels (Callosciurus notatus) are one of the most common native mammals in Singapore, alongside the Long-tailed Macaque. They have an orange belly with black and white stripes on their sides, which differentiates them from the less common Slender Squirrel.

 Canon R5, 105mm, 1/125 sec, f/16, ISO 12800. AV mode

 

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5890. Rule of thirds in photography

 

 

 Tanjong Jara Beach, Malaysia28 Apr 2026. 9.45amiPhone 14 Plus. Jason SingPut horizon at the lower 1/3 of grid (this image)The rule of thirds divides an image into a 3x3 grid using two vertical and two horizontal lines, creating four intersecting "power points." Placing key subjects along these lines or at the intersections creates more balanced, engaging, and less static compositions than centering subjects, effectively using negative space.

 

 

 

5889. Tanjung Jara Beach, Malaysia. iPhone 14 Plus. Jason Sing

 

Tanjung Jara Beach, located in Dungun, Terengganu on Malaysia's east coast, is a stunning, tranquil stretch of golden sand facing the South China Sea. It is most famous for its pristine, serene environment, primarily managed by the luxury Tanjong Jara Resort, which offers a romantic, 17th-century Malay palace-styled getaway, ideal for relaxing, swimming, and experiencing nature. 

Key Features and Activities:

• Secluded Beachfront: Known for its quiet, uncrowded atmosphere with, soft sand and palm trees.
• Tanjong Jara Resort: A luxury, award-winning resort that spans the beach, designed to reflect local culture with wooden structures.
• Activities: The area is popular for snorkeling, diving (specifically to nearby Tenggol Island), and visiting the resort's own turtle hatchery.
• Dining & Relaxation: Offers romantic beach dining under the stars and an award-winning spa, Spa Village Tanjong Jara.
• Location: Located at Batu 8, Off Jalan Dungun, easily accessed from Dungun town. 

Best Time to Visit:
The best time to enjoy Tanjung Jara beach is generally between March and September, during the dry season on the east coast, to avoid the monsoon season which brings rough seas. 

5888. India. sugarcane juice vending machine

 A mobile sugarcane juice-vending machine often referred to as “desi jugaad” in India. It uses a roller system powered by a generator to crush sugarcane and extract juice in public spaces. Street vending.

 

 

5887. Short Editions

https://short-edition.com/en/category/short-fiction

 

5885. VET CASE STUDY. VIDEO. Evidence-based medicine. Diabetes and prostate problems.

 

 

VET STORY. A VET DID NOT PRACTISE EVIDENCE-BASED MEDICINE
Be Kind To Pets Veterinary Educational Videos sponsored by Toa Payoh Vets

30 April 2026. Dr Sing Kong Yuen. BVMS (Glasgow).

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"Why did you consult the vet?" I asked. "Harold had a big swollen left front paw. He kept licking it till it bleed profusely! However, he has good recovery after treatment."

"My vet said my 8-year-old male Basset Hound has diabetes and prostate cancer." Mrs Wellington WhatsApp video-called me on 28 April 2026.

"Please let me know what did the three reports of blood tests say?" she texted.

I am a veterinarian in Singapore. She lived in Mumbai, India and contacted me via her brother in Singapore. "Your vet's three reports showed that your dog had high cholesterol level, no liver and kidney diseases and no blood infection from the bacterial infection in the paw," I told her. "They are irrelevant to the diagnosis of diabetes and prostate cancer in your dog."

"Does he drink and pee more than normal?" I asked Mrs Wellington who treats her Basset Hound as family. "Yet he is losing weight?". These are clinical signs suggestive of diabetes. 

She WhatsApp me. "My dog is born lazy...good appetite...shits twice daily during his walks...drinks lots of water and peeing according but the 38 degrees heat here is generally miserable..."

"Why did yo.u seek veterinary consultation for Harold?” I asked. “He had a swollen left fore paw,” Mrs Wellington loves her long-eared Hound like her son. “He had been licking it frequently till it bleeds. However, his paw is much more normal after veterinary treatment!”.

 

"Your vet has no laboratory evidence to substantiate his diabetes and prostate cancer diagnosis.".

"I agree with you," Mrs Wellington replied. "Is the vet hoping to make more money for his practice?" I could see Mrs Wellington's eyebrows raised upwards in the video-call. "Prices of goods and services have shot up after the U.S-Israeli-Iran war in March 2026!”
 

"Diagnosis needs medical evidence. Evidence needs preparation," I told her. "Please seek a second opinion from another practice".  

Evidentiary reports include:

1. DIABETES
Blood Glucose Test: A blood sample is taken to check for persistent hyperglycemia (high blood sugar).

Urinalysis: Tests for glucose in the urine (a healthy dog shouldn't have any)


2. PROSTATE CANCER

 Diagnosing prostate cancer in dogs involves a combination of rectal exams, diagnostic imaging (ultrasound/X-rays), and tissue sampling to confirm malignancy. 

 

"Please seek a second opinion from another practice." I said. “The vet must practise evidence-based medicine to arrive at a diagnosis of diabetes and prostate problems in the dog.”.

 

 

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5885. Create a video of a vet in Bahrain, treating a Basset Hound, using Gemini AI

 

Prompt:

A photorealistic cinematic scene inside a modern veterinary clinic in Bahrain, softly lit by a mix of natural daylight and clinical overhead lighting. The space is clean and minimal, with subtle Middle Eastern design elements such as neutral tones and discreet Arabic signage.

A 40-year-old Myanmar male veterinarian wearing light blue scrubs and latex gloves stands beside a stainless steel consultation table, calmly treating a Basset Hound. The dog stands on the table, its long ears hanging down, appearing slightly anxious but cooperative. Its front left paw shows a mild infection with visible redness and swelling.

The veterinarian gently cleans the paw using gauze and antiseptic, working carefully and methodically. His movements are precise and reassuring.

Nearby, the dog’s owner, a young Caucasian woman with her hair in a tight bun, wearing a white blouse and green slacks, watches attentively. Her posture is slightly tense at first, reflecting concern, but gradually softens as the treatment progresses.

The camera slowly moves through the scene with natural cinematic motion, shifting from a wider view of the clinic to more intimate close-ups of the dog’s face and the veterinarian’s hands treating the paw. Focus transitions smoothly, emphasizing emotional detail—the dog’s expression, the careful treatment, and the owner’s reaction.

As the veterinarian finishes, he gently bandages the paw. The dog becomes calmer, and the owner visibly relaxes. The moment ends with a quiet sense of reassurance and care.

Cinematic depth of field, soft natural color grading, realistic textures, subtle camera motion, no text, no subtitles, ambient clinic sound only.

 

 

 

5884. Short story. A basset hound has an infected paw. Chatgpt

 

Create a video of a 40-year-old Myanmar male veterinarian treating a Basset Hound with an infected front left paw in a veterinary clinic in Bahrain. The dog is on the stainless steel consultation table. The owner is a young Caucasian lady with a tight hair bun. She wears white blouse and green slacks.

Here’s a single, production-ready prompt you can use in tools like Runway Gen-3, Sora, or Pika to generate the video:

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 Create a video of a 40-year-old Myanmar male veterinarian treating a Basset Hound with an infected front left paw in a veterinary clinic in Bahrain. The dog is on the stainless steel consultation table. The owner is a young Caucasian lady with a tight hair bun. She wears white blouse and green slacks.

 

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Cinematic Video Prompt (45–60s, photorealistic, 16:9)

A 40-year-old Myanmar male veterinarian with calm, focused demeanor carefully treats a Basset Hound with an infected front left paw inside a modern veterinary clinic in Bahrain. The clinic is clean, brightly lit with soft natural daylight filtering through large windows, mixed with overhead clinical lighting. Subtle Middle Eastern design elements in the background (light beige walls, minimal decor, clean signage in English and Arabic).

The Basset Hound stands on a stainless steel consultation table, slightly anxious but cooperative. Its long ears hang down naturally. The infected front left paw shows mild redness and swelling. The veterinarian wears light blue scrubs, latex gloves, and uses gentle, precise movements while cleaning and examining the paw with antiseptic and gauze.

A young Caucasian female owner stands nearby, watching attentively with concern. She has her hair tied in a tight bun, wearing a neat white blouse and green slacks. Her posture is slightly tense, hands clasped or resting near the table, eyes focused on the dog.

Shot sequence:

• Shot 1 (0–8s): Establishing medium-wide shot of the clinic interior. Vet and dog at center, owner at side. Clean, professional environment.
• Shot 2 (8–18s): Close-up of the Basset Hound’s face and droopy ears; subtle movement, soft whimper or calm breathing.
• Shot 3 (18–30s): Tight close-up of the infected front left paw as the veterinarian gently cleans it with gauze and antiseptic. Slow, careful hand motion.
• Shot 4 (30–42s): Over-the-shoulder shot from behind the veterinarian showing the owner watching with concern.
• Shot 5 (42–55s): Medium close-up of veterinarian applying bandage around the paw with steady hands.
• Shot 6 (55–60s): Final reassuring moment—vet nods slightly, owner relaxes, dog calmer on table.

Style & technical details:

• Photorealistic, cinematic depth of field
• Soft, natural color grading (clean whites, warm skin tones)
• Shallow focus for close-ups, smooth focus pulls
• Subtle camera motion (slow dolly, steady handheld feel)
• No text overlays, no subtitles
• Ambient clinic sounds only (no music): light instrument clinks, soft dog breathing

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If you want, I can refine this further for a specific platform (Runway vs Sora) or convert it into a multi-shot JSON-style prompt for more control.

Refine this further for a specific platform (Runway vs Sora)

Good instinct—Runway and Sora respond quite differently to prompts. If you want reliability and control, you should tailor the structure, pacing, and constraints explicitly.

Below are platform-optimized versions of your scene:

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🎬 Runway Gen-3 Optimized Prompt (Highly Structured, Shot-Driven)

Runway performs best with clear shot segmentation + grounded motion cues.

Prompt:

16:9 cinematic video, 50 seconds, photorealistic

Interior of a modern veterinary clinic in Bahrain. Clean, professional environment with soft daylight and clinical lighting, subtle Middle Eastern design elements (neutral tones, minimal Arabic signage).

A 40-year-old Myanmar male veterinarian in light blue scrubs and latex gloves treats a Basset Hound standing on a stainless steel consultation table. The dog has an infected front left paw (visible redness and slight swelling).

A young Caucasian female owner stands nearby, hair in a tight bun, wearing a white blouse and green slacks, watching with concern.

Shot 1 (0–8s): Medium-wide establishing shot. Vet, dog on table, owner beside. Slight camera dolly-in.

Shot 2 (8–18s): Close-up of Basset Hound’s face. Droopy ears, calm but slightly anxious expression. Subtle breathing motion.

Shot 3 (18–30s): Close-up of infected front left paw. Veterinarian gently cleans wound using gauze and antiseptic. Slow, precise hand movement.

Shot 4 (30–42s): Over-the-shoulder shot from behind veterinarian. Owner in focus, watching attentively, hands slightly tense.

Shot 5 (42–55s): Medium close-up. Veterinarian carefully wraps bandage around the paw. Smooth, deliberate motion.

Shot 6 (55–50s): Medium shot. Dog calmer. Veterinarian gives subtle reassuring nod. Owner relaxes slightly.

Cinematic depth of field, shallow focus for close-ups, soft natural color grading, realistic skin tones.

Subtle handheld stability, smooth focus pulls.

Ambient clinic sound only, no music, no subtitles, no text.

Why this works for Runway:

• Explicit shot timing → improves coherence
• Clear subject anchoring → reduces morphing
• Controlled motion language → avoids jitter

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🎬 Sora Optimized Prompt (Environment + Behavior Driven)

Sora performs better with continuous scene logic + natural language flow, less rigid segmentation.

Prompt:

A photorealistic cinematic scene inside a modern veterinary clinic in Bahrain, softly lit by a mix of natural daylight and clinical overhead lighting. The space is clean and minimal, with subtle Middle Eastern design elements such as neutral tones and discreet Arabic signage.

A 40-year-old Myanmar male veterinarian wearing light blue scrubs and latex gloves stands beside a stainless steel consultation table, calmly treating a Basset Hound. The dog stands on the table, its long ears hanging down, appearing slightly anxious but cooperative. Its front left paw shows a mild infection with visible redness and swelling.

The veterinarian gently cleans the paw using gauze and antiseptic, working carefully and methodically. His movements are precise and reassuring.

Nearby, the dog’s owner, a young Caucasian woman with her hair in a tight bun, wearing a white blouse and green slacks, watches attentively. Her posture is slightly tense at first, reflecting concern, but gradually softens as the treatment progresses.

The camera slowly moves through the scene with natural cinematic motion, shifting from a wider view of the clinic to more intimate close-ups of the dog’s face and the veterinarian’s hands treating the paw. Focus transitions smoothly, emphasizing emotional detail—the dog’s expression, the careful treatment, and the owner’s reaction.

As the veterinarian finishes, he gently bandages the paw. The dog becomes calmer, and the owner visibly relaxes. The moment ends with a quiet sense of reassurance and care.

Cinematic depth of field, soft natural color grading, realistic textures, subtle camera motion, no text, no subtitles, ambient clinic sound only.

 

Why this works for Sora:

• Emphasizes scene continuity over cuts
• Uses behavioral progression (concern → relief)
• Lets the model infer camera movement naturally

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⚖️ Which should you use?

• Use Runway version → if you want precise shot control and are okay iterating clips
• Use Sora version → if you want more natural realism and flow with fewer hard cuts