Annual report of the Client Security Fund Committee. 2015.
Annual; Began in 2006?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of claims filed with the Client Security Fund Committee during calendar year ..., and on the Committee's activities during ... in connection with claims filed
Connecticut. Client Security Fund Committee.
core
The Effects of Zingiber officinal R. on Primary Dysmenorrhea
Background: Prevalence of dysmenorrhea and its importance for women life as well as side effects of non steroid anti inflammatory drug used for its treatment increases the tendency for alternative complementary, and herbal therapy.
P Rahnama +6 more
doaj
Privacy-Preserving Federated Learning for Artistic Image Classification in Visual IoT Sensor Networks. [PDF]
Wang S, Wang B.
europepmc +1 more source
Quarterly report of the Client Security Fund Committee. 2018: April to 2018: June.
Quarterly; Began in 2005?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of the activities of the Client Security Fund Committee for ...
Connecticut. Client Security Fund Committee.
core
Perspectives on enhancing peer support services for mothers living with HIV in Kenya: A qualitative assessment of Mentor Mothers and the mothers they serve. [PDF]
Carlucci JG +8 more
europepmc +1 more source
Quarterly report of the Client Security Fund Committee. 2019: Jan. to Mar.
Quarterly; Began in 2005?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of the activities of the Client Security Fund Committee for ...
Connecticut. Client Security Fund Committee.
core
FedTIP: Communication-Efficient Federated Temporal Prompting for Few-Shot Dynamic Graph Adaptation. [PDF]
Wu X, Zhang X.
europepmc +1 more source
Quarterly report of the Client Security Fund Committee. 2016: Oct.-Dec.
Quarterly; Began in 2005?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of the activities of the Client Security Fund Committee for ...
Connecticut. Client Security Fund Committee.
core
FedMCP++: Integrating Modular Expert Heads with Prototype-Guided Contrastive Distillation for Wireless Personalized Federated Learning. [PDF]
Günay FB, Bozkurt F.
europepmc +1 more source

