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Announcement
· Jul 4

¡Chatea con la IA de la Comunidad de Desarrolladores!

¡Hola comunidad!

¡Estamos emocionados de presentar una nueva forma de interactuar con la IA de la comunidad de desarrolladores! - Ahora podéis tener una conversación real con ella.

En lugar de hacer preguntas aisladas, podéis chatear con la IA de la comunidad (DC AI) de una forma más natural y fluida. Así, ya sea que estéis explorando tecnologías de InterSystems, depurando código o aprendiendo algo nuevo, la DC AI está aquí para ayudaros, como lo haría cualquier otro desarrollador.

Y al igual que la versión original de preguntas y respuestas, esta experiencia de chat está impulsada por InterSystems IRIS Vector Search, lo que hace que vuestras conversaciones sean rápidas, con conciencia del contexto y altamente relevantes.

👉 ¡Probadla y contadnos qué os parece!

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Question
· Jul 4

Audifort Natural Supplement – Is This the Real Fix for Ringing Ears and Hearing Trouble?

Audifort

Natural Formula: Audifort is made from all-herbal components, making it a more secure alternative for people who choose non-pharmaceutical answers for their ear health problems.

 

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FACEBOOK- https://www.facebook.com/AudifortDrop/

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FACEBOOK- https://www.facebook.com/groups/andrewrossaudifort/

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CLICK HERE- https://github.com/Davidhuupp/Audifort

CLICK HERE- https://medium.com/@Audifort

CLICK HERE- https://audifort-1.jimdosite.com/

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CLICK HERE- https://audifortdrop.systeme.io

CLICK HERE- https://gns3.com/community/discussions/audifort/

CLICK HERE- https://filmfreeway.com/AudifortDrop

CLICK HERE- https://online.visual-paradigm.com/community/bookshelf/Audifort-Drop

CLICK HERE- https://heyzine.com/flip-book/fda05a863c.html

CLICK HERE- https://sites.google.com/view/audifortdrop/

CLICK HERE- https://nas.io/audifortreviews/challenges/audifort-drop

CLICK HERE- https://www.perio.org/wp-content/uploads/ninja-forms/40/Audifort.pdf

CLICK HERE- https://github.com/audifortdrop/Audifort/

CLICK HERE- https://www.perio.org/wp-content/uploads/ninja-forms/40/Audifort-reviews.pdf

CLICK HERE- https://fmcreators.com/index.php?threads/audifort-hearing-support-supplement-is-it-the-natural-answer-to-better-hearing.22824/

CLICK HERE- https://nas.io/audifort-reviews/challenges/audifort-hearing-support-supplement-a-natural-way-to-improve-ear-health

CLICK HERE- https://filmfreeway.com/Audifort-reviews

CLICK HERE- https://sites.google.com/view/audifort-reviews/

CLICK HERE- https://gns3.com/community/discussions/audifort-hearing-support-real-solution-or-just-another-supplement

CLICK HERE- https://colab.research.google.com/drive/1SkyG1tTCO1LhIp7PwLPoLDB3YPZxEGbB

CLICK HERE- https://heyzine.com/flip-book/000869ecb6.html

CLICK HERE- https://online.visual-paradigm.com/community/bookshelf/Audifort

CLICK HERE- https://knowt.com/note/2e9bdcfe-e62e-4495-bf86-9d05df4fb152/Audifort-Side-Effects-Investigated-Is-I

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Article
· Jul 3 4m read

文字コードが不明なファイルや文字列を正しく処理する方法

これは InterSystems FAQ サイトの記事です。

InterSystems 製品では、ファイルオープン時に文字コードを指定すれば指定の文字コードで正しくファイルの中身を処理できます。

文字コードを指定しない場合、InterSystems 製品をインストールした OS に合わせて設定されたファイル I/O 用文字コードを利用してファイルをオープンします(Linux 系は UTF8、Windows は SJIS)。

また、文字列については文字コードが判明していれば $ZCONVERT() 関数を使用して指定文字コードで文字列を処理することができます。

 例)$ZCONVERT(文字列,"I","IRIS内文字コード")

文字コードが不明な場合、残念ながら InterSystems 製品だけでそのコードを判別することができないため、例えば Embedded Python で Python の chardet パッケージを使用して文字コード判別し、IRIS 内文字コードを取得しファイルオープン、文字列の文字コード変換をすることができます。

chardetパッケージについては、外部サイトですが参考となります。ぜひご参照ください。

参考ページ:[解決!Python]テキストファイルのエンコーディングを調べて、その内容を読み込むには(chardetパッケージ)

以下、具体的な処理内容です。文字コードが不明なファイルに対する処理例として記載しています(文字列に対する処理例は末尾にあります)。

IRIS のクラス定義に以下のように language=python を設定したクラスメソッドを用意します。

/// ファイルのエンコードを確認して返す
/// 第1引数:ファイル名(フルパス)
/// 戻り値:エンコード
/// 事前準備:Pythonのchardetパッケージをインストールしておく必要があります
/// 参考URL:https://atmarkit.itmedia.co.jp/ait/articles/2105/11/news015.html
ClassMethod GetEncode(filename As %String) As %String [ Language = python ]
{
import iris
from chardet import detect  # chardetパッケージからdetect関数をインポート
with open(filename, 'rb') as f:  # バイナリファイルとして読み込みオープン
    b = f.read()  # ファイルから全データを読み込み
    enc = detect(b)  # 読み込んだデータdetect関数に渡して判定する
#print(enc)
return enc["encoding"]
}

 

ターミナルで単体テストを行った結果は以下の通りです。

例:ECU-JPで保存されているファイルを確認した場合

この後、IRIS 内ユーティリティメソッドを利用して IRIS 用文字コードを入手しファイルオープン時の文字コードに指定します。

set TranslateTable=##class(%Net.Charset).GetTranslateTable(ここにPythonで確認したエンコード)

 

コード詳細は以下の通りです。

ClassMethod test(filename As %String)
{
    if $Get(filename)="" {
        write "第1引数にファイル名をフルパスで指定してください",!
        return
    }
    // Pythonのchardetパッケージを利用したエンコード調査を実行します
    set encode=..GetEncode(filename)
    if $get(encode)="" {
        write filename," のエンコードが入手できませんでした",!
        return
    }
    // エンコードが返った来た場合、IRIS内の文字コードを調査
    set TranslateTable=##class(%Net.Charset).GetTranslateTable(encode)
    
    write "IRISの文字コードは:",TranslateTable,!
    write "ファイルの中身は以下==",!
    set fs=##class(%Stream.FileCharacter).%New()
    set fs.TranslateTable=TranslateTable
    do fs.LinkToFile(filename)
    while fs.AtEnd=0 {
        write fs.ReadLine(),!
    }
    kill fs
}

 

実行例は以下の通りです。

USER>do ##class(FAQ.Utils).test("/data/sample1.txt")
IRISの文字コードは:EUC
ファイルの中身は以下==
あいうえお
かきくけこ
さしすせそ

USER>

 

ファイルではなく文字列に対して操作する場合は、以下の手順で実行します。

1、Python の chardetパッケージを利用してエンコードを入手

set encode=##class(FAQ.Utils).GetEncode("/data/sample1.txt")

 

2、IRIS 用文字コードを入手

USER>set TranslateTable=##class(%Net.Charset).GetTranslateTable(encode)

USER>write TranslateTable
EUC
USER>

 

3、$ZCONVERT()関数を使用してコードを変換

USER>write $ZCONVERT(reco,"I",TranslateTable) // recoに対象文字列が含まれているとします
あいうえお
USER>
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Question
· Jul 3

Breaking Barriers: How New Jersey is Making Treatment More Accessible

 

Introduction

In a time when equitable healthcare remains an elusive goal for many states, New Jersey is quietly redefining the paradigm. This isn't merely a story of expanded services—it’s a transformation in ideology. The Garden State is dismantling long-standing obstacles and weaving accessibility into the fabric of its healthcare infrastructure. What’s emerging is not just a roadmap for inclusion, but a living model of care that reaches the unreachable.

Historical Challenges in Treatment Access

For decades, treatment in New Jersey—like much of the United States—was contingent on ZIP code, income bracket, and, tragically, the color of one's skin. Urban areas wrestled with overwhelmed clinics, while rural pockets faced logistical nightmares. Add to that the specter of stigma—especially surrounding mental health and substance use—and the result was a healthcare system riddled with blind spots.

The inability to access timely and culturally competent care bred a vicious cycle of untreated illness and economic fallout. Many residents, particularly in low-income or immigrant communities, fell through the cracks. Treatment wasn’t just unavailable; it was unreachable.

Accessing Help Without Financial Coverage

For individuals grappling with substance use, the fear of being denied help due to lack of insurance can be paralyzing. In New Jersey, however, several detox facilities and outreach programs offer pathways to recovery regardless of coverage status. Organizations and state-funded centers have created solutions for those seeking NJ detox no insurance options, often utilizing sliding scale fees, grants, or emergency Medicaid services.

These resources ensure that financial hardship doesn’t become a life-threatening barrier. With increased awareness and community support, more residents are finding compassionate care when they need it most—without the added burden of affordability concerns.

Policy Overhauls and Legislative Action

Recognizing these entrenched disparities, New Jersey enacted sweeping policy reforms in recent years. Foremost among these was the expansion of Medicaid eligibility, opening doors for thousands of uninsured residents. Strategic funding bolstered programs targeting behavioral health, maternal care, and chronic disease management.

The New Jersey Department of Human Services became a fulcrum for transformation. Through the Division of Mental Health and Addiction Services (DMHAS), the state launched initiatives that subsidized care for vulnerable groups, streamlined eligibility, and prioritized integrated services. Legislation wasn’t just reactive—it became anticipatory, paving the way for preemptive and holistic care.

Telehealth: A Digital Lifeline

The pandemic, though devastating, served as a catalyst for innovation. Telehealth, once a niche service, rapidly became a mainstream modality. New Jersey embraced this pivot with strategic agility.

The state eliminated many bureaucratic hurdles to telemedicine. Providers were permitted to serve patients remotely, prescriptions could be issued digitally, and reimbursement policies were revamped to incentivize virtual care. This was particularly transformative for elderly patients, single parents, and residents in transportation deserts.

Telehealth didn't just bridge distance; it collapsed it. Communities previously isolated by topography or socioeconomic constraints suddenly had a doctor, therapist, or specialist just a tap away.

Community-Based Health Initiatives

On-the-ground change also surged. New Jersey invested heavily in mobile treatment units, which now crisscross the state offering everything from HIV testing to opioid addiction counseling. These roving clinics are often the first point of contact for people who have never engaged with the healthcare system.

Moreover, the state promoted the integration of mental health and substance use services, recognizing that siloed treatment often breeds failure. Community health workers, often from the neighborhoods they serve, act as cultural liaisons—bridging mistrust and language barriers.

These initiatives exemplify a granular approach—one where care is not merely delivered, but embedded within communities.

Education, Advocacy, and Cultural Competence

Accessibility isn't only about availability—it’s about approachability. New Jersey is addressing this through education and advocacy. A concerted effort has been made to train healthcare professionals in cultural competence, ensuring care is not just delivered, but understood and respected.

Public awareness campaigns challenge pervasive myths about mental health, addiction, and preventive care. Billboards, radio PSAs, and school programs carry a unified message: seeking help is a sign of strength, not shame.

This cultural recalibration is crucial. A treatment system can be technically accessible, yet emotionally impenetrable. New Jersey is working to shift the narrative.

Looking Ahead: Sustainability and Future Innovations

Despite progress, challenges remain. Sustaining these advancements requires robust funding streams, cross-sector partnerships, and policy continuity. Infrastructure must be resilient enough to withstand political and economic shifts.

Yet, New Jersey continues to innovate. Pilot programs are exploring AI-assisted diagnostics, trauma-informed care frameworks, and peer-led support systems. Patient-centered care—once an ideal—is becoming a standard, where individuals guide their treatment journey with dignity and autonomy.

A Community Pathway to Healing and Renewal

Nestled in the heart of Hudson County, the town of Kearny offers a quiet yet determined approach to recovery support. With a strong sense of community and a growing network of healthcare services, individuals seeking comprehensive treatment can find both structure and compassion.

Facilities specializing in rehab Kearny NJ are committed to addressing substance use with a blend of clinical expertise and human empathy. These centers often provide tailored programs, including detox, counseling, and aftercare planning, all within a supportive environment. It’s a place where recovery isn’t just possible—it’s actively nurtured and encouraged.

Conclusion

New Jersey’s campaign to make treatment more accessible isn’t just a regional success story—it’s a clarion call for systemic change. By addressing historical inequities, leveraging technology, and honoring cultural nuance, the state is forging a new healthcare ethos.

What’s unfolding in New Jersey is more than reform. It’s a revolution in empathy, driven not by expediency, but by equity. And in that, there lies a lesson—and a beacon—for the nation.

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Announcement
· Jul 3

[Video] FHIR-Powered AI Healthcare Assistant

Hi Community,

Enjoy the new video from InterSystems Demo Games:

⏯ FHIR-Powered AI Healthcare Assistant

Leverage InterSystems's FHIR SQL Builder to project FHIR data to a dataset for vector embedding, and feed the vector store to a RAG chain with LLM and Chatbot.

🗣 Presenter: @Simon Sha, Sales Architect, InterSystems

If you like this video, don't forget to vote for it in the Demo Games!

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