Press Release
Heidi Kling: Transforming Lives with Modern Psychotherapy Techniques
Michigan, US, 11th June 2024, ZEX PR WIRE, Heidi Kling, a prominent figure in clinical psychology, leverages her extensive expertise in psychotherapy to facilitate positive changes in the lives of patients and their families. With a profound understanding of attitudes, behaviors, emotions, memories, and thoughts, Heidi utilizes a blend of therapeutic techniques to address and resolve psychological issues effectively.
As a certified life coach, Heidi combines her deep psychological knowledge with life coaching strategies to support individuals in achieving their personal and professional goals. Her holistic approach to mental health care, dedication to patient-centered therapy, and academic contributions make her a highly respected and influential figure in the mental health community.
Psychodynamic Insight Oriented Psychotherapy and Psychoanalysis
Heidi’s psychodynamic approach aims to increase emotional awareness and mindfulness. By exploring the less conscious and unconscious past experiences influencing current behaviors and thoughts, patients can gain insight and develop healthier coping mechanisms.
Cognitive Behavioural Psychotherapy (CBT)
Heidi employs CBT to help patients identify and rectify distorted interpretations of events. This technique is instrumental in diminishing negative attitudes and beliefs, fostering a more positive and rational mindset.
Cognitive Behavioural Psychotherapy for Insomnia
Preliminary studies indicate that CBT for insomnia can significantly reduce sleep disturbances in 40-50% of patients. Heidi’s approach includes challenging self-defeating assumptions, implementing stimulus control, and promoting sleep hygiene to improve sleep quality and enhance the effectiveness of antidepressant medications.
Acceptance and Commitment Psychotherapy
Heidi encourages patients to accept and experience unwanted emotions and thoughts without overanalyzing or struggling against them. This therapy promotes mindfulness and appreciation of the present moment, facilitating a healthier mental state.
Dialectical Behavioural Psychotherapy (DBT)
Originally developed for individuals with suicidal tendencies, DBT helps patients manage emotional pain and increase distress tolerance. Heidi guides patients in making wiser decisions during distressing times, reducing impulsive and destructive behaviours.
Interpersonal Psychotherapy (IPT)
Addressing relationship problems, IPT focuses on role transitions, grief, role conflict, and interpersonal deficits. Heidi helps patients navigate these areas to improve their social connections and overall well-being.
Supportive Psychotherapy
Heidi assists patients in rediscovering and embracing previously effective coping strategies. This therapy aims to strengthen existing coping skills, providing patients with a robust foundation for managing life’s challenges.
Behavioural Psychotherapy
Understanding that behaviours are influenced by external events, Heidi uses this approach to help patients recognize and alter punishing behaviours, promoting engagement in rewarding activities.
Positive Psychology Psychotherapies
Heidi integrates elements of positive psychology to enhance well-being and foster a strengths-based approach to therapy.
Gestalt Psychotherapy
Heidi motivates patients to take meaningful action rather than merely discussing plans. Through active behavioural experiments, patients focus on the present moment, leading to greater awareness and fuller experiences of their possibilities.
Existential Psychotherapy
This philosophical therapy addresses inner conflicts related to life’s ultimate concerns, such as death, isolation, freedom, and meaning. Heidi helps patients navigate these existential challenges, fostering resilience and a deeper sense of purpose.
Person-Centred Psychotherapy
Creating a comfortable, non-judgmental environment, Heidi demonstrates genuineness, empathy, and positive regard. This approach empowers patients to find their own solutions to problems, fostering independence and self-discovery.
Mindfulness and Imagery-Based Stress Reduction Therapy
Heidi promotes sustained, moment-to-moment awareness of emotional states, thoughts, perceptions, and sensations. Mindfulness practices help patients observe their experiences without overthinking, leading to reduced stress and increased relaxation.
Muscle Relaxation Therapy
Through techniques that involve tensing and then relaxing muscle groups, Heidi helps patients reduce stress-induced muscle tension, promoting overall mental and physical relaxation.
Sex Therapy
Addressing issues such as low sexual desire, premature ejaculation, and arousal difficulties, Heidi helps patients achieve more satisfying sexual lives. This therapy also supports victims of sexual assault or abuse, addressing sexual problems caused by stress and relationship issues.
Meditation Therapy
Heidi guides patients in meditation practices to achieve peaceful mental consciousness. By calming the mind and reducing mental chatter, patients can ease depression, anxiety, and distress, gaining greater awareness of important life issues.
Self-Management Strategies for Bipolar Disorders
Heidi provides comprehensive strategies for managing bipolar disorder, including maintaining regular sleep, rest, diet, exercise, medication adjustment, and engaging in reflective, meditative, and spiritual practices.
Motivational Interviewing During Psychotherapy
Focusing on a patient’s readiness for change, Heidi employs motivational interviewing to strengthen personal motivation and commitment to healthy goals. This technique involves engaging, focusing, evoking, and planning to develop a clear plan of action for change.
Heidi Kling serves as a clinical supervisor for PhD candidates at The Derner Institute for Advanced Psychological Studies at Adelphi University, mentoring future psychologists in clinical practice and research. Her diverse educational background includes a Ph.D. in Clinical Psychology with a specialization in Group Psychotherapy, an M.A. in School Psychology, a Masters in Public Health from Yale University, and a Bachelor of Arts in English and General Literature.
With a thriving private practice in New York City since 2000, Heidi has extensive experience in psychodynamic psychotherapy for individuals and couples. Her career includes significant roles at The Village Institute for Psychotherapy, Gracie Square Hospital, and St. Luke’s-Roosevelt Hospital Center. Her research contributions and presentations at major conferences further underscore her commitment to advancing the field of psychology.
As a certified life coach, Heidi combines her deep psychological knowledge with life coaching strategies to support individuals in achieving their personal and professional goals. Her holistic approach to mental health care, dedication to patient-centered therapy, and academic contributions make her a highly respected and influential figure in the mental health community.
For more information or to schedule an appointment with Heidi Kling, please visit [website] or contact [14152360580].
About Dr. Heidi Kling
Dr. Heidi Kling is a renowned clinical psychologist and certified life coach with over 20 years of experience. She is a clinical supervisor at The Derner Institute for Advanced Psychological Studies at Adelphi University and maintains a successful private practice in New York City. Dr. Kling’s work has significantly influenced modern psychotherapeutic practices, particularly in the areas of psychodynamic psychotherapy and the treatment of personality disorders. Her innovative approach and dedication to advancing mental health care continue to impact the field profoundly.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.
As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.
A Unified Data Layer for Agent Economies
Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.
Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators.
This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.
From Data Access to Decision Infrastructure
The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.
Dataline’s system is designed to solve this by providing the following:
-
Cross-venue data normalization across trading and prediction markets
-
Confidence-scored outputs with divergence detection between sources
-
Structured responses optimized for planner–executor–verifier agent loops
-
Real-time aggregation of market signals and event data
Already Powering Live Agent Systems
Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.
Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.
Launch Partners Across AI and Execution Layers
The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.
These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.
Exclusive Offer for Base Builders
To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.
Accelerating the Shift Toward Agent-Native Financial Infrastructure
As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.
As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.
Become a Dataline Launch Partner
Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents
British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.
As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.
A Unified Data Layer for Agent Economies
Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.
Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators.
This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.
From Data Access to Decision Infrastructure
The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.
Dataline’s system is designed to solve this by providing the following:
-
Cross-venue data normalization across trading and prediction markets
-
Confidence-scored outputs with divergence detection between sources
-
Structured responses optimized for planner–executor–verifier agent loops
-
Real-time aggregation of market signals and event data
Already Powering Live Agent Systems
Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.
Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.
Launch Partners Across AI and Execution Layers
The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.
These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.
Exclusive Offer for Base Builders
To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.
Accelerating the Shift Toward Agent-Native Financial Infrastructure
As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.
As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.
Become a Dataline Launch Partner
Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science
Zug, Switzerland, June 25th, 2026, Chainwire
Anyone can now execute mass payouts across EVM chains and Tron from a single platform and can choose between multiple wallet screening providers.
Just three weeks after releasing major upgrades for crypto payment collection, the Request Network Foundation today announced another expansion of its stablecoin payment platform. The release introduces one-click mass payouts on both EVM and Tron, alongside built-in bridging and token swapping across EVM chains. The update also expands compliance capabilities through the integration of Merkle Science as an additional wallet screening provider.
Together, these capabilities reinforce Request Network’s vision of providing businesses with a simpler, more scalable, and more resilient way to operate stablecoin payments globally.
Users Can Now Disburse at Scale in One Click From a Single Wallet Without Bridging or Swapping
Stablecoins are already widely used to disburse salaries, commissions, affiliate rewards, bug bounties, supplier payments, and customer refunds or withdrawals across the world. While settlements are now faster and cheaper in stablecoins compared to fiat, the operational processes needed to send funds remain complex as recipients usually require payments on multiple chains and in multiple currencies. This has forced finance teams to initiate multiple transactions in separate currencies and from multiple wallets.
Request Network now abstracts away this fragmentation, allowing anyone to initiate mass payouts from a single wallet in a single currency to pay recipients across the top 6 EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon, and BNB Chain) in USDC and USDT.
Through a single signature, a mass payout can now be initiated even if the individual transactions need to be bridged and swapped to reach their recipient. Request Network protocol automatically retrieves and batches bridge and swap quotes in order to funnel every payment of a batch to its correct destination in just one approval.
To simplify the process further, Request Network also allows any recipient to set and update their payment preferences so payments are always routed to where they should go.
This represents one of the biggest breakthroughs in cross-chain and swapping abstraction, bringing payers and recipients closer than ever before, regardless of the blockchain or currency they trust.
Mass Payouts Now Available on Tron
Alongside EVM mass payouts, Request Network also announced the support of mass payouts on Tron, becoming the first protocol to combine both capabilities.
Thanks to this release, anyone can now send USDT to multiple recipients on Tron in a single transaction, unlocking large-scale payouts on one of the most used chains in Asia, Africa, Eastern Europe, and Latin America.
With this release, anyone can now manage all stablecoin payouts globally from the Request Network protocol.
More Choice for Wallet Screening
Alongside mass payouts, Request Network also announced a partnership with Merkle Science to offer additional wallet screening providers on the protocol.
As a reminder, Request Network offers built-in wallet screening to protect its users from high-risk wallet interactions. When enabled, this feature allows payments to be executed only if the payer or recipient satisfies the preset screening policies, helping businesses to avoid exposure to high-risk wallets which may lead to asset freezing or difficulties off-ramping to fiat.
By expanding its integration of Merkle Science, Request Network just became one of the safest ways to receive crypto onchain, while accommodating for recipients’ preferences.
Tristan Wallaert, CEO of the Request Network Foundation, said: “Stablecoins allowed money to move globally without the usual fiat constraints, but executing payments at scale remains a bottleneck and is forcing users to rely on payment service providers. Anyone should be able to pay by himself hundreds of payments across chains in just a single operation.High risk wallets exposure has tarnished the crypto reputation recently, if we want to provide the best protection to blockchain users they need to be able to use the best screening providers. Sending and receiving payments must become intuitive and safe if we want stablecoins to be a real alternative to fiat.”
Mriganka Pattnaik, CEO of Merkle Science, said: “As stablecoin payments become more global and cross-chain, compliance needs to become just as seamless as the payment experience itself. Our integration with Request Network helps businesses screen wallets with greater confidence, reduce exposure to high-risk activity, and scale onchain payments without compromising trust or operational efficiency”.
About Request Network
Since 2017, Request Network has developed, educated about, and promoted the use of open-source, decentralized and permissionless protocols that provide infrastructure for on-chain payments and related financial flows.
Request Network allows anyone to send and receive crypto at scale, across chains, without custodial intermediaries. The protocol is developed by a community-funded foundation whose mission is to make crypto payments accessible while protecting its participants.
To date, more than $2 billion has moved thanks to Request Network technology.
About Merkle Science
Merkle Science provides blockchain analytics and crypto compliance solutions that help businesses detect, investigate, and prevent financial crime across digital assets. Its platform supports wallet screening, transaction monitoring, risk intelligence, and investigations, enabling crypto platforms, financial institutions, and payment providers to manage onchain risk and meet compliance requirements at scale.
Contacts
CEO
Tristan Wallaert
Request Network Foundation
press@request.network
Director of Business Operations
Álvaro García
alvaro.garcia@merklescience.com
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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