#sfsts

[houston-dwi-lawyer]

How DWI Field Sobriety Tests Work

When drivers are pulled over under suspicion of driving while intoxicated (DWI), officers often administer field sobriety tests. These tests are designed to assess a driver’s physical and cognitive faculties to determine if they’re under the influence of alcohol or drugs. If the police officer determines that the driver is intoxicated, they’ll be arrested and get free night’s stay at the Harris…

[s-fukuyama]

Title:Self Portrait 2023

Note

Format:

333mm×333mm Square

Typography,Foto:

Mei Yamaguchi（Typo:23/06/09,Foto:23/12/14,12/23）

Color Retouch:

Mei Yamaguchi（23/12/14）

Edit&Post production :

S.Fukuyama（23/06/09,/12/23&24/1/25,2/13,2/14）

Drawing:

Ambiente Service

Total Production:

SFST-S.Fukuyama STUDIO- （sfst808.wixsite.com/sfst）

[reecypontiff]

Probably not "NSFW" but... most certainly "SFST" (suitable for snacktime)

[dailyhongkong]

홍콩 핀테크 위크 2024, 금융 서비스 AI 책임 사용 정책 발표

(홍콩=데일리홍콩) 김한국 기자 = 이달 28일부터 시작되는 제9차 홍콩 핀테크 위크 2024에서 홍콩 당국이 금융 서비스 부문에서 인공지능(AI)의 책임 있는 사용에 대한 정책 성명을 발표한다. 출처: SFST’s opening remarks at press conference on Hong Kong FinTech Week 2024 (English only) 홍콩 재무 및 재정 서비스국 허정우(許正宇, Christopher Hui Ching-yu)국장은 8일 올해 핀테크 위크 행사가 “Illuminating New Pathways in Fintech” 라는 테마로 진행될 예정이라고 밝히면서 기자 회견을 통해 행사 개요를 발표했다. 허정우 국장은 “올해는 홍콩 핀테크 위크의 9번째 행사로, 핀테크 혁명의…

[jcmarchi]

SCIN: A new resource for representative dermatology images

New Post has been published on https://thedigitalinsider.com/scin-a-new-resource-for-representative-dermatology-images/

SCIN: A new resource for representative dermatology images

Posted by Pooja Rao, Research Scientist, Google Research

Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones. Yet, existing dermatology image datasets often lack representation of everyday conditions (like rashes, allergies and infections) and skew towards lighter skin tones. Furthermore, race and ethnicity information is frequently missing, hindering our ability to assess disparities or create solutions.

To address these limitations, we are releasing the Skin Condition Image Network (SCIN) dataset in collaboration with physicians at Stanford Medicine. We designed SCIN to reflect the broad range of concerns that people search for online, supplementing the types of conditions typically found in clinical datasets. It contains images across various skin tones and body parts, helping to ensure that future AI tools work effectively for all. We’ve made the SCIN dataset freely available as an open-access resource for researchers, educators, and developers, and have taken careful steps to protect contributor privacy.

Example set of images and metadata from the SCIN dataset.

Dataset composition

The SCIN dataset currently contains over 10,000 images of skin, nail, or hair conditions, directly contributed by individuals experiencing them. All contributions were made voluntarily with informed consent by individuals in the US, under an institutional-review board approved study. To provide context for retrospective dermatologist labeling, contributors were asked to take images both close-up and from slightly further away. They were given the option to self-report demographic information and tanning propensity (self-reported Fitzpatrick Skin Type, i.e., sFST), and to describe the texture, duration and symptoms related to their concern.

One to three dermatologists labeled each contribution with up to five dermatology conditions, along with a confidence score for each label. The SCIN dataset contains these individual labels, as well as an aggregated and weighted differential diagnosis derived from them that could be useful for model testing or training. These labels were assigned retrospectively and are not equivalent to a clinical diagnosis, but they allow us to compare the distribution of dermatology conditions in the SCIN dataset with existing datasets.

The SCIN dataset contains largely allergic, inflammatory and infectious conditions while datasets from clinical sources focus on benign and malignant neoplasms.

While many existing dermatology datasets focus on malignant and benign tumors and are intended to assist with skin cancer diagnosis, the SCIN dataset consists largely of common allergic, inflammatory, and infectious conditions. The majority of images in the SCIN dataset show early-stage concerns — more than half arose less than a week before the photo, and 30% arose less than a day before the image was taken. Conditions within this time window are seldom seen within the health system and therefore are underrepresented in existing dermatology datasets.

We also obtained dermatologist estimates of Fitzpatrick Skin Type (estimated FST or eFST) and layperson labeler estimates of Monk Skin Tone (eMST) for the images. This allowed comparison of the skin condition and skin type distributions to those in existing dermatology datasets. Although we did not selectively target any skin types or skin tones, the SCIN dataset has a balanced Fitzpatrick skin type distribution (with more of Types 3, 4, 5, and 6) compared to similar datasets from clinical sources.

Self-reported and dermatologist-estimated Fitzpatrick Skin Type distribution in the SCIN dataset compared with existing un-enriched dermatology datasets (Fitzpatrick17k, PH², SKINL2, and PAD-UFES-20).

The Fitzpatrick Skin Type scale was originally developed as a photo-typing scale to measure the response of skin types to UV radiation, and it is widely used in dermatology research. The Monk Skin Tone scale is a newer 10-shade scale that measures skin tone rather than skin phototype, capturing more nuanced differences between the darker skin tones. While neither scale was intended for retrospective estimation using images, the inclusion of these labels is intended to enable future research into skin type and tone representation in dermatology. For example, the SCIN dataset provides an initial benchmark for the distribution of these skin types and tones in the US population.

The SCIN dataset has a high representation of women and younger individuals, likely reflecting a combination of factors. These could include differences in skin condition incidence, propensity to seek health information online, and variations in willingness to contribute to research across demographics.

Crowdsourcing method

To create the SCIN dataset, we used a novel crowdsourcing method, which we describe in the accompanying research paper co-authored with investigators at Stanford Medicine. This approach empowers individuals to play an active role in healthcare research. It allows us to reach people at earlier stages of their health concerns, potentially before they seek formal care. Crucially, this method uses advertisements on web search result pages — the starting point for many people’s health journey — to connect with participants.

Our results demonstrate that crowdsourcing can yield a high-quality dataset with a low spam rate. Over 97.5% of contributions were genuine images of skin conditions. After performing further filtering steps to exclude images that were out of scope for the SCIN dataset and to remove duplicates, we were able to release nearly 90% of the contributions received over the 8-month study period. Most images were sharp and well-exposed. Approximately half of the contributions include self-reported demographics, and 80% contain self-reported information relating to the skin condition, such as texture, duration, or other symptoms. We found that dermatologists’ ability to retrospectively assign a differential diagnosis depended more on the availability of self-reported information than on image quality.

Dermatologist confidence in their labels (scale from 1-5) depended on the availability of self-reported demographic and symptom information.

While perfect image de-identification can never be guaranteed, protecting the privacy of individuals who contributed their images was a top priority when creating the SCIN dataset. Through informed consent, contributors were made aware of potential re-identification risks and advised to avoid uploading images with identifying features. Post-submission privacy protection measures included manual redaction or cropping to exclude potentially identifying areas, reverse image searches to exclude publicly available copies and metadata removal or aggregation. The SCIN Data Use License prohibits attempts to re-identify contributors.

We hope the SCIN dataset will be a helpful resource for those working to advance inclusive dermatology research, education, and AI tool development. By demonstrating an alternative to traditional dataset creation methods, SCIN paves the way for more representative datasets in areas where self-reported data or retrospective labeling is feasible.

Acknowledgements

We are grateful to all our co-authors Abbi Ward, Jimmy Li, Julie Wang, Sriram Lakshminarasimhan, Ashley Carrick, Bilson Campana, Jay Hartford, Pradeep Kumar S, Tiya Tiyasirisokchai, Sunny Virmani, Renee Wong, Yossi Matias, Greg S. Corrado, Dale R. Webster, Dawn Siegel (Stanford Medicine), Steven Lin (Stanford Medicine), Justin Ko (Stanford Medicine), Alan Karthikesalingam and Christopher Semturs. We also thank Yetunde Ibitoye, Sami Lachgar, Lisa Lehmann, Javier Perez, Margaret Ann Smith (Stanford Medicine), Rachelle Sico, Amit Talreja, Annisah Um’rani and Wayne Westerlind for their essential contributions to this work. Finally, we are grateful to Heather Cole-Lewis, Naama Hammel, Ivor Horn, Michael Howell, Yun Liu, and Eric Teasley for their insightful comments on the study design and manuscript.

[intracervicalinsemination1]

DWI Laws in Texas | Fort Worth DWI Attorneys

Texas is a highly-conservative state when it comes to its laws regarding driving while intoxicated (DWI) and the consequences of violating these laws. The statutes are pretty straight-forward about the core elements of the DWI offense under 49.04.

The state must prove that the person was:

operating a motor vehicle;

in a public place;

while intoxicated.

“Operating a motor vehicle” has been interpreted broadly by Texas criminal trial and appellate courts. There have been many decisions by the Texas Court of Criminal Appeals that allow for this element to be proved without any evidence that the individual was actually driving the vehicle.  In some cases, our Fort Worth DWI defense firm will challenge the state’s definition of “operation” and persuade a jury that the evidence is not sufficient to prove that “operation” occurred.

It’s also common for police officers to make mistakes when determining they have reasonable suspicion to stop a vehicle. If a police officer determines he has reasonable suspicion that a traffic violation has occurred, he can stop the vehicle. Once the officer smells the faintest odor of alcohol, sees an open container, receives an admission that the person has consumed ANY amount of alcohol, he or she will likely commence an investigation for DWI.

A “public place” is any place to which the public or a significant portion of the public has a access. See Penal Code 1.07(40) This can include parking lots, in addition to roadways.

In most circumstances, the element at issue in a driving while intoxicated case is “intoxication.” The state can prove intoxication by

The Fort Worth DWI attorneys at Barnett Howard & Williams PLLC are trained in DWI detection techniques and procedures and can challenge officer testimony using their very training manuals.

Standardized Field Sobriety Tests | Tarrant County DWI Lawyers

When determining the loss of normal use of mental or physical faculties, field sobriety tests (FST’s) are tools used by law enforcement to seek clues of intoxication. See  for more details. These tests include the horizontal gaze nystagmus test, the walk and turn test, and the one leg stand test.

These tests are 100% voluntary. You cannot be compelled to do them if you choose to refrain. As with most of the DWI investigation process, law enforcement agencies have developed ways to assist them with evidence-gathering in DWI cases. However, they require voluntary participation by the accused. Without them, the ability to prove DWI cases beyond a reasonable doubt can be much more difficult. The 5th amendment provides us with the right to remain silent. Always keep in mind, anything you say or do in these situations could be used against you in court. The NHTSA Manual provides that the SFSTs can be compromised if one element of any test is not conducted properly. Our Tarrant County DWI lawyers know how to challenge the field sobriety tests in court.

Horizontal Gaze Nystagmus Test (HGN)

The horizontal gaze nystagmus (HGN) test is the first of the three tests normally administered by the police officer. Some research has shown HGN can be caused by the introduction of alcohol or some drugs into the body. The HGN test is designed to reveal to the officer whether the involuntary jerking of the eyeballs which occurs as a result of HGN is present in someone suspected of DWI.

When performing the field sobriety test for HGN, there are three manipulations performed on both eyeballs. They specifically test for:

Because they perform these 3 manipulations on each eyeball, there is a maximum possibility of six clues on the HGN test.  Most DUI attorneys understand that HGN evidence is confusing to a jury and typically not helpful to the state in proving the case.

[fmarkets]

$SFST #Commercial Banks #Nasdaq EPS Drops at SFST over the third quarter of 2023

[springfieldvtpd]

Arrest - DUI-Alcohol

Offenses: DUI-Alcohol

Incident Number: 23SF004326

Investigating Officer: Perkins

Date/Time of Incident/Arrest: 10/7/23 0058 10/7/23 0127

Defendant: Nicole Barton

Summary of Incident:

On 10/7/23 at approximately 0058 hours, I observed a motor vehicle violation on Clinton St. I conducted a traffic stop for the observed violation.

Throughout the duration of the traffic stop there were numerous indicators of impairment exhibited.

The operator, Nicole, was requested to undergo Standardized Field Sobriety Tests and to provide a Preliminary Breath Test. As a result of the SFST’s and the PBT, it was determined that Nicole was alleged impaired.

Nicole was ultimately arrested and transported to the Springfield Police Department for processing. Nicole was issued a citation to appear in the Vermont Superior Court, Criminal Division, Windsor Unit, on 10/17/23, at 0800 hours, to answer for the charge of DUI.

[uchigames]

I’m back on the east coast and hittin’ the ground runnin’. How? Not only will I be at #ECT2022 but I’m one of the official commentators for the event 😎☝🏽 And booyyyyy do they have me WORKIN’🔥 I’ll be casting for #BattleForTheGrid, #CVS2, #ThirdStrike #SFA2, & #SFST ⚡️ https://www.instagram.com/p/Ch7gri-LmIi/?igshid=NGJjMDIxMWI=

[dailyhongkong]

홍콩 핀테크 위크 2024, 금융 서비스 AI 책임 사용 정책 발표

(홍콩=데일리홍콩) 김한국 기자 = 이달 28일부터 시작되는 제9차 홍콩 핀테크 위크 2024에서 홍콩 당국이 금융 서비스 부문에서 인공지능(AI)의 책임 있는 사용에 대한 정책 성명을 발표한다. 출처: SFST’s opening remarks at press conference on Hong Kong FinTech Week 2024 (English only) 홍콩 재무 및 재정 서비스국 허정우(許正宇, Christopher Hui Ching-yu)국장은 8일 올해 핀테크 위크 행사가 “Illuminating New Pathways in Fintech” 라는 테마로 진행될 예정이라고 밝히면서 기자 회견을 통해 행사 개요를 발표했다. 허정우 국장은 “올해는 홍콩 핀테크 위크의 9번째 행사로, 핀테크…

[vampirewillows]

modern disney au -- wendy/alice -- 793 words

@lintsukka got me into this hell. oops. idea credit to her

The smoke curls against the dirty white ceiling in unassuming patterns, except they’re really not patterns at all, and it-- well, it’s disappointing, certainly. Alice flicks the ashes off on to the tray resting on her stomach and crosses her ankles on top of each other. Her socks are riding down; the breeze coming in through the open window brushes against her skin.

“I miss it,” Alice mumbles. She closes her eyes, and sees it, like she always does. It doesn’t haunt her, not like it used to -- but it’s close enough. The colours overwhelm her and if she’d reach out, she could almost touch the tea cups--

Wendy grabs her out-stretched hand and pulls it down, their locked fingers resting on the sheets between them.

“I know,” she says, and Alice doesn’t need to open her eyes to see the sad smile on her face.

“Do you?” Alice asks. She stubs out the cigarette and moves the ash tray to the floor. If she opens her eyes she knows she’ll still see it all. It never really leaves, not even when she’s awake -- maybe especially then. Like a never ending nightmare, or a daydream, or... she doesn’t know anymore.

“C’mon,” Wendy coaxes, “look at me.”

The sheets rustle as Wendy turns to her side. The room is cold and small and nothing at all like Wonderland, and Alice wishes to all hell she could disappear from here like she used to, like she once did. 

But once was a long time ago, in a different city, in a different world.

She opens her eyes. The ceiling stares back at her -- from the corner of her eye she can see Wendy, her ginger hair and flannel and pale skin, and she knows she should look but she doesn’t want to miss the patterns dancing across the cracks.

“Alice,” Wendy says. “Come on. Look. At. Me.”

Alice does. Their eyes meet. A sense of calm washes over Alice; she wonders if it’ll ever stop. If Wendy ever stops being enough.

“Hi,” Wendy whispers. Her face cracks into a smile. It doesn’t reach her eyes and it doesn’t seem happy, but it’s a smile nonetheless.

“Hey, yourself,” Alice says. She swallows the sense of panic building in her throat and focuses on the little details, like the strands of Wendy’s hair that cut across her features and the smudges of mascara on her lower lids and the green spots in her eyes (because Wendy’s eyes are a miracle of their own, hues of blue and green and all that falls in between) and tries, she really tries not to cry.

“Oh,” Wendy says, and her smile drops. “Oh, Alice, it’s alright.”

“It’s not,” Alice insists. “You know it’s not. You know--”

“I do,” Wendy cuts in. She moves her finger to cover Alice’s lips, to shut her up. “But it’s gone. All of it is gone, it’s in the past and we can’t get it back. There’s no way to get it back. And this--” she gestures towards the room around them, the decadence as Wendy calls it, “--this isn’t helping. This is making it worse.”

“You don’t know,” Alice says against her finger. Wendy lets her hand drop. “The high helps, it takes me back even if it’s only for a while.”

“No, it doesn’t,” Wendy argues. “Trust me, just this once. It’ll only make everything--”

“Worse. Yeah.”

Wendy looks at her, frowning. “I know how it feels,” she says sternly. “When all that wonder is suddenly gone. Okay, I know. I miss the Neverland, but I can’t go back. It’s gone. And I’ve accepted that.” There’s a pause. “You should, too.”

“How?” Alice asks, and if her voice cracks it’s none of Wendy’s business. “How did you move on, after he left you?”

Wendy’s told the story many times over, because despite everything, Alice still loves stories, and Wendy-- 

Wendy is an excellent storyteller.

“He didn’t leave me,” Wendy rolls her eyes. “He-- he saved me. I would have lost myself to Neverland. I would’ve never grown up.”

“Is this better?” Alice asks quietly. “Is this the future you wanted?”

Wendy doesn’t reply, but Alice knows she wants to say ‘no’, wants to say ‘this isn’t worth it’ and ‘you’re not worth it’. Wendy always wanted more; she wanted to save the world and everyone in it, and when she couldn’t do that, she focused on fixing Alice. But she’s not fixable. None of this is fixable.

“Yeah,” Alice mutters. She closes her eyes and rolls around, away from Wendy. “That’s what I thought.”

Wendy reaches out to brush her hand against her back.

The touch isn’t as comforting as it used to be.

[therealuniverse]

K-index We've had thousands of 'likes' for photos of aurorae, but how do photographers know when to lug all their gear into the wilderness and while away the hours waiting for “that shot”. One of the best assets in the aurora watcher's toolkit is the K-index.

The K-index is an indication of the level of disturbances in the Earth's magnetic field and ranges from 0-9. 1 on the K-index is relatively calm, whereas 5 or more indicates a geomagnetic storm (and therefore aurorae are more likely). Introduced by Julius Bartels in 1938, the K-index ('K' comes from the German “Kennziffer” meaning “characteristic number”) reflects the maximum fluctuations observed by a magnetometer during a three-hour interval. Canadian K-Index Map: https://www.spaceweather.gc.ca/forecast-prevision/short-court/sfst-2-en.php Australian K-Index Map: http://www.ips.gov.au/Geophysical/1/3/1 -CJ Image: Australian K-index map (updated every 20 minutes, see link above): Australian Government's Bureau of Meteorology, Radio and Space Weather Services Further Reading: http://www.swpc.noaa.gov/info/Kindex.html

[fmarkets]

EPS Drops at SFST over the third quarter of 2023 https://csimarket.com/stocks/news.php?code=SFST&date=2023-11-01102459&utm_source=dlvr.it&utm_medium=tumblr

[bitcofun]

The Hong Kong federal government has actually presented an expense to permit retail financiers to straight purchase digital possessions, marking a plain departure from mainland China's blanket restriction on crypto. The relocation was validated in a speech by Hong Kong's Secretary for Financial Services and the Treasury (SFST), Christopher Hui, at the SFST's Executive Roundtable on October 21. 1/ Hong Kong financiers will have the ability to invest straight in crypto possessions! Elizabeth Wong, head of the fintech department, validated that regulators are thinking about enabling exchanges and other intermediaries to offer cryptocurrencies straight to retail financiers. pic.twitter.com/HquF1dE1yh-- CORE Web3.1 (@qinxiancong) October 21, 2022 Hong Kong Looks to Embrace Web3 Hui's verification follows remarks reported previously in the week from the head of Hong Kong's Securities and Futures Commission (SFC), Elizabeth Wong, who stated the Special Administrative Region was aiming to present an expense which would enable retail financiers to "straight invest into virtual possessions." Wong's remarks came throughout a panel conversation held by InvestHK on October 17, throughout which she highlighted how crucial the 'one nation, 2 systems' method to the policy of Hong Kong's monetary sector had actually remained in the past, stating it "forms the fundamental structure to Hong Kong monetary markets." Wong included that the SFC was likewise actively thinking about tabling a costs enabling retail financiers to invest straight into digital properties. Hui's speech has actually because verified the intro of this expense, with the Secretary mentioning: " On virtual properties, we have actually presented an expense to propose developing a regulative routine for virtual property provider." Secretary for Financial Services and the Treasury (SFST), Christopher Hui Hui spoke more broadly about fintech, exposing that the style of this year's Hong Kong Fintech Week, which ranges from October 21 to November 4, will be "Pushing Boundaries, Reaping Benefits", and will concentrate on emerging Web3 innovations such as metaverse. For the very first time, the occasion will likewise provide NFTs, in what Hui refers to as an effort to "check their capability to engage individuals." In an additional indication of Hong Kong's interest for crypto, Hui stated that throughout Hong Kong Fintech Week the federal government prepares to provide a policy declaration describing their prepare for the advancement of virtual possessions which he states is planned to show to the worldwide virtual properties neighborhood the federal government's "... vision of establishing Hong Kong into a global virtual properties centre." Significant Change From Past Stance This brand-new proposed structure in Hong Kong varies substantially from the federal government's previous technique to crypto. For the previous 4 years the SFC has actually limited crypto trading utilizing centralised exchanges to expert financiers, which suggests just people with portfolio's valued at over US$ 1 million might buy crypto utilizing centralised exchanges. According to Wong, over the previous couple of years crypto markets have actually ended up being more certified and usually much safer for typical financiers to take part in and ought to for that reason be made available to all retail financiers, describing: " We believe that this might be really a great time to actually believe thoroughly about whether we will continue with this expert investor-only requirement." Head of Hong Kong's Securities and Futures Commission (SFC), Elizabeth Wong Hong Kong's brand-new method follows the launch of a US$ 3.8 billion fund developed to draw in company and financial investment back to the Special Administrative Region after something of an exodus following numerous years of political turbulence and stringent COVID-19 lockdowns. Crypto News Investing Regulation Disclaimer: The material and

views revealed in the posts are those of the initial authors own and are not always the views of Crypto News. We do actively inspect all our material for precision to assist secure our readers. This short article material and links to external third-parties is consisted of for details and home entertainment functions. It is not monetary guidance. Please do your own research study prior to taking part. Read More