Tenosynovitis represents a common clinical condition characterized by inflam-mation of the synovium that encases the tendon sheath.Although tenosynovities may be noted in any tendon in the body,extremities such as han...Tenosynovitis represents a common clinical condition characterized by inflam-mation of the synovium that encases the tendon sheath.Although tenosynovities may be noted in any tendon in the body,extremities such as hand,and foot remain the sites of high predilection to acquire this condition.The predominant cause of this predilection rests in the intricate tendon arrangements in these extremities that permit fine motor actions.This editorial explores the common causes and the complications associated with this condition to improve the understanding of the readers of this common condition encountered in our everyday clinical practice.展开更多
BACKGROUND Macrodactyly is a rare congenital malformation characterized by an increase in the size of all structures of a digit,accounting for less than 1%of all congenital upper extremity conditions.CASE SUMMARY We r...BACKGROUND Macrodactyly is a rare congenital malformation characterized by an increase in the size of all structures of a digit,accounting for less than 1%of all congenital upper extremity conditions.CASE SUMMARY We report a case involving a 49-year-old woman who presented for the first time with untreated,radial-sided hand macrodactyly.We performed soft tissue debulking,amputation,median nerve neurotomy and coaptation,and carpal tunnel release.At the 6-year follow-up,no significant growth was observed in the bone or soft tissue of the affected area.CONCLUSION Tissue overgrowth in patients with progressive macrodactyly can continue and progress excessively with age.Median nerve neurotomy and coaptation play a crucial role in preventing recurrence of the deformity.展开更多
Person identification is one of the most vital tasks for network security. People are more concerned about theirsecurity due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, f...Person identification is one of the most vital tasks for network security. People are more concerned about theirsecurity due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, fingerprintsand faces have been widely used for person identification, which has the risk of information leakage as a resultof reproducing fingers or faces by taking a snapshot. Recently, people have focused on creating an identifiablepattern, which will not be reproducible falsely by capturing psychological and behavioral information of a personusing vision and sensor-based techniques. In existing studies, most of the researchers used very complex patternsin this direction, which need special training and attention to remember the patterns and failed to capturethe psychological and behavioral information of a person properly. To overcome these problems, this researchdevised a novel dynamic hand gesture-based person identification system using a Leap Motion sensor. Thisstudy developed two hand gesture-based pattern datasets for performing the experiments, which contained morethan 500 samples, collected from 25 subjects. Various static and dynamic features were extracted from the handgeometry. Randomforest was used to measure feature importance using the Gini Index. Finally, the support vectormachinewas implemented for person identification and evaluate its performance using identification accuracy. Theexperimental results showed that the proposed system produced an identification accuracy of 99.8% for arbitraryhand gesture-based patterns and 99.6% for the same dynamic hand gesture-based patterns. This result indicatedthat the proposed system can be used for person identification in the field of security.展开更多
文摘Tenosynovitis represents a common clinical condition characterized by inflam-mation of the synovium that encases the tendon sheath.Although tenosynovities may be noted in any tendon in the body,extremities such as hand,and foot remain the sites of high predilection to acquire this condition.The predominant cause of this predilection rests in the intricate tendon arrangements in these extremities that permit fine motor actions.This editorial explores the common causes and the complications associated with this condition to improve the understanding of the readers of this common condition encountered in our everyday clinical practice.
基金Supported by Special TCM Innovation Project of Hebei Provincial Department of Science and Technology,No.223777130DScientific Research Project of Hebei Province Administration of Traditional Chinese Medicine,No.2024215.
文摘BACKGROUND Macrodactyly is a rare congenital malformation characterized by an increase in the size of all structures of a digit,accounting for less than 1%of all congenital upper extremity conditions.CASE SUMMARY We report a case involving a 49-year-old woman who presented for the first time with untreated,radial-sided hand macrodactyly.We performed soft tissue debulking,amputation,median nerve neurotomy and coaptation,and carpal tunnel release.At the 6-year follow-up,no significant growth was observed in the bone or soft tissue of the affected area.CONCLUSION Tissue overgrowth in patients with progressive macrodactyly can continue and progress excessively with age.Median nerve neurotomy and coaptation play a crucial role in preventing recurrence of the deformity.
基金the Competitive Research Fund of the University of Aizu,Japan.
文摘Person identification is one of the most vital tasks for network security. People are more concerned about theirsecurity due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, fingerprintsand faces have been widely used for person identification, which has the risk of information leakage as a resultof reproducing fingers or faces by taking a snapshot. Recently, people have focused on creating an identifiablepattern, which will not be reproducible falsely by capturing psychological and behavioral information of a personusing vision and sensor-based techniques. In existing studies, most of the researchers used very complex patternsin this direction, which need special training and attention to remember the patterns and failed to capturethe psychological and behavioral information of a person properly. To overcome these problems, this researchdevised a novel dynamic hand gesture-based person identification system using a Leap Motion sensor. Thisstudy developed two hand gesture-based pattern datasets for performing the experiments, which contained morethan 500 samples, collected from 25 subjects. Various static and dynamic features were extracted from the handgeometry. Randomforest was used to measure feature importance using the Gini Index. Finally, the support vectormachinewas implemented for person identification and evaluate its performance using identification accuracy. Theexperimental results showed that the proposed system produced an identification accuracy of 99.8% for arbitraryhand gesture-based patterns and 99.6% for the same dynamic hand gesture-based patterns. This result indicatedthat the proposed system can be used for person identification in the field of security.
