The multi-decade household humidifier disinfectant poisoning tragedy (HHDT) in South Korea highlights the importance of investigating government failures. This study aims to identify and discuss key failures and shortcomings in the South Korean authorities’ approach to regulating humidifier disinfectants (HDs) and monitoring cases of chemical poisoning. We reviewed both the HD risk prevention measures that the South Korean Ministry of Environment (KME) should have implemented under the Toxic Chemicals Control Act (TCCA) (1991–2013).Polyhexamethylene guanidine phosphate (PHMG), a new chemical, was approved for use as a disinfectant under the TCCA. KME declared PHMG non-hazardous based solely on preproduction documentation provided by the industry. In addition, the Korea Disease Control and Prevention Agency (KDCPA) failed to detect the HHDT that had accumulated each year for more than a decade. KME’s neglect of its responsibilities, coupled with KDCPA’s lack of chemical poisoning surveillance systems, led to the accumulation of widespread HHDT.

The multi-decade household humidifier disinfectant poisoning tragedy (HHDT) in South Korea highlights the importance of investigating government failures. This study aims to identify and discuss key failures and shortcomings in the South Korean authorities’ approach to regulating humidifier disinfectants (HDs) and monitoring cases of chemical poisoning. We reviewed both the HD risk prevention measures that the South Korean Ministry of Environment (KME) should have implemented under the Toxic Chemicals Control Act (TCCA) (1991–2013).Polyhexamethylene guanidine phosphate (PHMG), a new chemical, was approved for use as a disinfectant under the TCCA. KME declared PHMG non-hazardous based solely on preproduction documentation provided by the industry. In addition, the Korea Disease Control and Prevention Agency (KDCPA) failed to detect the HHDT that had accumulated each year for more than a decade. KME’s neglect of its responsibilities, coupled with KDCPA’s lack of chemical poisoning surveillance systems, led to the accumulation of widespread HHDT.

The multi-decade household humidifier disinfectant poisoning tragedy (HHDT) in South Korea highlights the importance of investigating government failures. This study aims to identify and discuss key failures and shortcomings in the South Korean authorities’ approach to regulating humidifier disinfectants (HDs) and monitoring cases of chemical poisoning. We reviewed both the HD risk prevention measures that the South Korean Ministry of Environment (KME) should have implemented under the Toxic Chemicals Control Act (TCCA) (1991–2013).Polyhexamethylene guanidine phosphate (PHMG), a new chemical, was approved for use as a disinfectant under the TCCA. KME declared PHMG non-hazardous based solely on preproduction documentation provided by the industry. In addition, the Korea Disease Control and Prevention Agency (KDCPA) failed to detect the HHDT that had accumulated each year for more than a decade. KME’s neglect of its responsibilities, coupled with KDCPA’s lack of chemical poisoning surveillance systems, led to the accumulation of widespread HHDT.

The multi-decade household humidifier disinfectant poisoning tragedy (HHDT) in South Korea highlights the importance of investigating government failures. This study aims to identify and discuss key failures and shortcomings in the South Korean authorities’ approach to regulating humidifier disinfectants (HDs) and monitoring cases of chemical poisoning. We reviewed both the HD risk prevention measures that the South Korean Ministry of Environment (KME) should have implemented under the Toxic Chemicals Control Act (TCCA) (1991–2013).Polyhexamethylene guanidine phosphate (PHMG), a new chemical, was approved for use as a disinfectant under the TCCA. KME declared PHMG non-hazardous based solely on preproduction documentation provided by the industry. In addition, the Korea Disease Control and Prevention Agency (KDCPA) failed to detect the HHDT that had accumulated each year for more than a decade. KME’s neglect of its responsibilities, coupled with KDCPA’s lack of chemical poisoning surveillance systems, led to the accumulation of widespread HHDT.

A 5-year-old, 28 kg castrated male Border Collie was referred for surgical intervention following complications from a prior total hip replacement. A physical examination revealed reduced weight-bearing and metallic crepitus on the affected limb. A radiographic assessment confirmed a fractured femoral stem. Extended trochanteric osteotomy (ETO) was performed to extract the well-fixed stem, followed by the removal of the acetabular cup. ETO stabilization was achieved with cerclage wires and a locking plate. Six months postoperatively, the radiographs indicated successful bone healing, and the dog exhibited improved limb function. The ETO technique can provide enhanced surgical access to extract well-fixed implants.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

A 5-year-old, 28 kg castrated male Border Collie was referred for surgical intervention following complications from a prior total hip replacement. A physical examination revealed reduced weight-bearing and metallic crepitus on the affected limb. A radiographic assessment confirmed a fractured femoral stem. Extended trochanteric osteotomy (ETO) was performed to extract the well-fixed stem, followed by the removal of the acetabular cup. ETO stabilization was achieved with cerclage wires and a locking plate. Six months postoperatively, the radiographs indicated successful bone healing, and the dog exhibited improved limb function. The ETO technique can provide enhanced surgical access to extract well-fixed implants.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

A 5-year-old, 28 kg castrated male Border Collie was referred for surgical intervention following complications from a prior total hip replacement. A physical examination revealed reduced weight-bearing and metallic crepitus on the affected limb. A radiographic assessment confirmed a fractured femoral stem. Extended trochanteric osteotomy (ETO) was performed to extract the well-fixed stem, followed by the removal of the acetabular cup. ETO stabilization was achieved with cerclage wires and a locking plate. Six months postoperatively, the radiographs indicated successful bone healing, and the dog exhibited improved limb function. The ETO technique can provide enhanced surgical access to extract well-fixed implants.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.