1.

Record Nr.

UNINA9910298082103321

Autore

Klonoff Pamela S

Titolo

Psychotherapy for Families after Brain Injury / / by Pamela S. Klonoff

Pubbl/distr/stampa

New York, NY : , : Springer US : , : Imprint : Springer, , 2014

ISBN

1-4899-8083-0

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (499 p.)

Disciplina

150

361.3

612.8

616.89

Soggetti

Neuropsychology

Psychiatry

Social service

Clinical psychology

Clinical health psychology

Rehabilitation

Social Work

Clinical Psychology

Health Psychology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Introduction and Overview -- Families’ Early Sessions, Emotional Status and Treatment Themes -- The Impact of Brain Injury on Different Family Members -- Family Psychotherapy after Moderate to Severe Traumatic Brain Injury -- Family Psychotherapy for Concussions and the Post concussive Syndrome -- Family Psychotherapy after Stroke and Anoxic Brain Injury -- Family Psychotherapy after a Brain Tumor -- Family Psychotherapy for Seizure Disorders -- Family Group -- Loved Ones’ End of Life and Existential Considerations as a Caregiver -- Aftercare Group for Long Range Needs.

Sommario/riassunto

Whether caused by illness, accident, or incident, brain injury requires multi-tiered  resources for the patient and considerable external care



and support.  When recovery is sidelined by depression, anger, grief, or turmoil, family members and the support network have critical roles to play and need their own guidance and compassionate therapeutic interventions.   Psychotherapy for Families after Brain Injury offers theoretical frameworks and eclectic techniques for working effectively with adult patients and their families at the initial, active, and post-treatment phases of rehabilitation. This practical reference clarifies roles and relationships of the support network in interfacing with the loved one and addresses the understandably devastating and sometimes derailing emotions and psychosocial adversities.  The content promotes psychoeducation and guided exercises, delineates “helpful hints” and coping tools, and proffers multimedia resources to overcome hurdles.  Constructs of awareness, acceptance, and realism for all parties are woven throughout, along with ideas to enhance the support network’s commitment, adjustment, positivity, hope, and longevity.  Case excerpts, instructive quotes from caregivers, and nuggets of clinical advice assist in analyzing these and other topics in salient detail:   The impact of brain injury on different family members. Treatment themes in early family sessions. Family therapy for moderate to severe brain injury, concussion, and postconcussion syndrome. Family therapy after organic brain injury: stroke, anoxia, tumor, seizure disorders. Family group treatment during active rehabilitation. End-of-life and existential considerations and positive aspects of caregiving. Aftercare group therapy for long-term needs.   The hands-on approach demonstrated in Psychotherapy for Families after Brain Injury will enhance the demanding work of a range of professionals, including neuropsychologists, clinical psychologists, rehabilitation psychologists, family therapists, marriage and family counselors, psychiatrists, behavioral/mental health counselors, clinical social workers, rehabilitation specialists such as speech-language pathologists, physical, and occupational therapists, and graduate students in the helping professions.  .



2.

Record Nr.

UNINA9910911294303321

Autore

Elhadj Yahya Mohamed

Titolo

Artificial Intelligence and Its Practical Applications in the Digital Economy : Proceedings of the International Conference on Artificial Intelligence and Its Practical Applications in the Age of Digital Transformation 2024, Volume 1 / / edited by Yahya Mohamed Elhadj, Mohamedade Farouk Nanne, Anis Koubaa, Farid Meziane, Mohamed Deriche

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

9783031714269

3031714261

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (284 pages)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 861

Altri autori (Persone)

NanneMohamedade Farouk

KoubâaAnis

MezianeFarid

DericheM (Mohamed)

Disciplina

658.0563

Soggetti

Computational intelligence

Artificial intelligence

Economic history

Computational Intelligence

Artificial Intelligence

Economy-wide Country Studies

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

The prediction of the wind speed and the solar irradiation in the Sahel using the Artificial neural networks case study site of Nouakchott -- Deep learning for smart grid application addressing data scarcity challenges and enhancing load forecasting efficiency -- Enhancing Advanced Time-Series Forecasting of Electric Energy Consumption based on RNN augmented with LSTM Techniques.

Sommario/riassunto

Artificial Intelligence (AI) technologies hold immense promise for developing countries by offering innovative solutions to longstanding challenges. By leveraging AI in health care, education, economic



development, infrastructure, and resource management, these countries can potentially leapfrog traditional development stages and improve the quality of life for their populations. However, it's essential to approach AI deployment with ethical considerations to ensure that the technology serves the best interests of these communities and thus to maximize the expected benefits. The I2COMSAPP'24 "International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation" aims to provide an excellent opportunity to gather experts, researchers, practitioners, and innovators from various fields to explore the latest advancements, challenges, and practical implementations of artificial intelligence and machine learning (ML) technologies. Moreover, it aims to foster knowledge sharing, collaboration, and networking among professionals who are driving responsible and innovative use of AI and leveraging real-world applications for the betterment of society and industries.