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Abstract Understanding platelet protein functions facilitates better assessment of platelet disorders. Megakaryocyte lineage-restricted human Disabled-2 knock-in (hDAB2-KI) mice are generated to delineate the functions of hDab2, a regulator of platelet function, in the control of bleeding associated with thrombocytopenia. Here we show that hDab2-KI mice with thrombocytopenia display decreased bleeding time when compared to the control mice. hDab2 augments thromboxane A2 (TxA2) mimetic U46619- but not other agonists-stimulated granule secretion, integrin activation, and aggregation at a lower platelet concentration in vitro. Binding of hDab2 to phosphatidic acid (PA) facilitates formation of the PA-hDab2-AKT complex leading to an increase in U46619-stimulated AKT-Ser473 phosphorylation and the first wave of ADP/ATP release. Consistent with these findings, hDab2 expression in platelets from patients with immune thrombocytopenic purpura is positively correlated with U46619-stimulated ATP release, which in turn inversely correlated with their bleeding tendency. hDab2 appears crucial in regulating bleeding severity associated with thrombocytopenia by a functional interplay with ADP/ATP release underlying TxA2 signaling.

Abstract Background Osimertinib is an irreversible third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI). It is the preferred first-line treatment for EGFR-mutated non-small cell lung cancer (NSCLC) compared to first-generation EGFR-TKIs. However, limited research has compared its clinical effectiveness with second-generation (2nd G) EGFR-TKIs. Materials and methods This study recruited patients diagnosed with stage IIIb-IV EGFR-mutated NSCLC who received first-line treatment with either 2nd G EGFR-TKIs (afatinib and dacomitinib) or osimertinib between April 2020 and April 2023. Results The final analysis included 168 patients, of whom 113 received 2nd G EGFR-TKIs (afatinib or dacomitinib) and 55 received osimertinib. The median progression-free survival (PFS) did not differ significantly between 2nd G EGFR-TKIs and osimertinib (del 19: 17.6 months; L858R: 20.0 months vs. 28.3 months, p = 0.081). In patients with the EGFR exon 19 deletion, osimertinib conferred a longer median PFS (28.3 vs. 17.6 months, p = 0.118) and time to treatment failure (30.2 vs. 22.7 months, p = 0.722) than 2nd G EGFR-TKIs. However, the differences were not statistically significant. In patients with with the EGFR exon 19 deletion and central nervous system metastasis, the median PFS did not differ significantly between those treated with osimertinib (14.3 months) and those treated with 2nd G EGFR-TKIs (17.6 months; p = 0.881). Multivariate regression analysis revealed that the NSCLC stage was the only independent negative predictor of PFS. The treatment patterns in the second line also differed significantly between groups (p = 0.008). Conclusions This study found comparable effectiveness between osimertinib and 2nd G EGFR-TKIs as first-line treatment for advanced EGFR-mutated NSCLC, with only the NSCLC stage identified as a negative predictor of PFS. However, whether the different second-line treatments affect overall survival should be examined.

Abstract Background Mild cognitive impairment (MCI) is the transition stage between the cognitive decline expected in normal aging and more severe cognitive decline such as dementia. The early diagnosis of MCI plays an important role in human healthcare. Current methods of MCI detection include cognitive tests to screen for executive function impairments, possibly followed by neuroimaging tests. However, these methods are expensive and time-consuming. Several studies have demonstrated that MCI and dementia can be detected by machine learning technologies from different modality data. This study proposes a multi-stream convolutional neural network (MCNN) model to predict MCI from face videos. Results The total effective data are 48 facial videos from 45 participants, including 35 videos from normal cognitive participants and 13 videos from MCI participants. The videos are divided into several segments. Then, the MCNN captures the latent facial spatial features and facial dynamic features of each segment and classifies the segment as MCI or normal. Finally, the aggregation stage produces the final detection results of the input video. We evaluate 27 MCNN model combinations including three ResNet architectures, three optimizers, and three activation functions. The experimental results showed that the ResNet-50 backbone with Swish activation function and Ranger optimizer produces the best results with an F1-score of 89% at the segment level. However, the ResNet-18 backbone with Swish and Ranger achieves the F1-score of 100% at the participant level. Conclusions This study presents an efficient new method for predicting MCI from facial videos. Studies have shown that MCI can be detected from facial videos, and facial data can be used as a biomarker for MCI. This approach is very promising for developing accurate models for screening MCI through facial data. It demonstrates that automated, non-invasive, and inexpensive MCI screening methods are feasible and do not require highly subjective paper-and-pencil questionnaires. Evaluation of 27 model combinations also found that ResNet-50 with Swish is more stable for different optimizers. Such results provide directions for hyperparameter tuning to further improve MCI predictions.

Abstract Air insoles have provided insights for reducing the risk of diabetic foot ulcers (DFU). The pressure time integral (PTI) is an effective assessment that considers the time effect in various physical activities. We investigated the interactions between three different insole inner pressures (80, 160, and 240 mmHg) and two walking durations (10 and 20 min). The big toe (T1), first metatarsal head (M1), and second metatarsal head (M2) were investigated in 13 healthy participants. One-way analysis of variance (ANOVA) showed that the effects of each insole inner pressure significantly differed (P

Abstract Introduction The use of stereotactic ablative radiotherapy (SABR) over conventional fractionated radiotherapy (CFRT) for early‐stage non‐small‐cell lung cancer (NSCLC) has been advocated, but is also debated in the literature. Methods In this retrospective cohort study, we adopted a target trial emulation framework to identify eligible patients diagnosed between 2011 and 2021 using the Taiwan Cancer Registry. In the primary analysis, the overall survival (OS) was the primary endpoint, whereas incidences of lung cancer mortality and radiation pulmonary toxicity were the secondary endpoints. Extensive supplementary analyses were also conducted. Results We included 351 patients in the primary analysis and found that the OS was not significantly different between the SABR (n = 290) and CFRT (n = 61) groups. The propensity score weighting adjusted hazard ratio of death was 0.75 (95% confidence interval 0.53–1.07, p = 0.118). The secondary endpoints and supplementary analyses showed no significant differences. Conclusions The OS of patients with early‐stage NSCLC treated with SABR was not significantly different from that of patients treated with CFRT alone. The results of the relevant ongoing clinical trials are eagerly awaited.

Abstract Background Previous studies have reported reduced acute exacerbation rates and improved symptom control in asthma patients treated using inhaled corticosteroids plus formoterol maintenance and reliever therapy (MART). Fluticasone furoate (FF) and vilanterol (VIL) also provide rapid bronchodilation and sustained anti-inflammatory effects, however no studies have investigated FF/VIL as MART for asthma control. Methods From October 1, 2021 to September 30, 2023, this retrospective study included asthma patients classified as step 3 or 4 according to the Global Initiative for Asthma guidelines, who were then divided into two groups. One group received BUD/FOR as MART, while the other received FF/VIL as MART. Pulmonary function tests, exacerbation rates, Asthma Control Test (ACT), fractional exhaled nitric oxide (FeNO) levels, and blood eosinophil counts were measured before and after 12 months of treatment. Results A total of 161 patients were included, of whom 36 received BUD/FOR twice daily as MART, and 125 received FF/VIL once daily as MART. After 12 months of treatment, the FF/VIL group showed a significant increase in ACT scores by 1.57 (p

Introduction: Gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD) are prevalent in Taiwan. Few studies have investigated the associations between obesity indices with GERD and PUD simultaneously. This study aimed to investigate the correlations among obesity indices with GERD and PUD in a large cohort of participants, around 120,000, in the Taiwan Biobank (TWB). Methods: A total of 121,583 participants (male: 43,698; female: 77,885; mean age 49.9 ± 11.0 years) were included to analyze the associations among obesity indices, including body mass index (BMI), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), lipid accumulation product (LAP), visceral adiposity index (VAI), and triglyceride-glucose index (TyG index), with GERD and PUD. Self-reported GERD and PUD were obtained by questionnaires. Multivariate logistic regression analysis was employed to analyze the relationship between obesity indices with GERD and PUD. Results: The prevalence of GERD and PUD was 13.7% and 14.6%, respectively. After multivariable analysis, high WHR (odds ratio [OR] = 1.009, p < 0.001), WHtR (OR = 1.005, p = 0.003), BRI (OR = 1.022, p = 0.005), AVI (OR = 1.013, p < 0.001), LAP (OR = 1.001, p < 0.001), TyG index (OR = 1.068, p < 0.001), and VAI (OR = 1.013, p = 0.002) were significantly associated with GERD, except BMI (p = 0.384). On the other hand, low BMI (OR = 0.984; p < 0.001) and AVI (OR = 0.994; p = 0.036) were significantly associated with PUD. However, the values of WHR (p = 0.151), WHtR (p = 0.304), BRI (p = 0.452), LAP (p = 0.799), VAI (p = 0.347), and TyG index (p = 0.642) were not. Conclusion: This study found that high obesity indices are associated with GERD, but low obesity indices are associated with PUD in a large Taiwanese population study. Our findings may alert physicians to notice that different obesity index may be associated with different gastrointestinal disorder.

Abstract Background Heat-related illness (HRI) is commonly considered an acute condition, and its potential long-term consequences are not well understood. We conducted a population-based cohort study and an animal experiment to evaluate whether HRI is associated with dementia later in life. Methods The Taiwan National Health Insurance Research Database was used in the epidemiological study. We identified newly diagnosed HRI patients between 2001 and 2015, but excluded those with any pre-existing dementia, as the study cohort. Through matching by age, sex, and the index date with the study cohort, we selected individuals without HRI and without any pre-existing dementia as a comparison cohort at a 1:4 ratio. We followed each cohort member until the end of 2018 and compared the risk between the two cohorts using Cox proportional hazards regression models. In the animal experiment, we used a rat model to assess cognitive functions and the histopathological changes in the hippocampus after a heat stroke event. Results In the epidemiological study, the study cohort consisted of 70,721 HRI patients and the comparison cohort consisted of 282,884 individuals without HRI. After adjusting for potential confounders, the HRI patients had a higher risk of dementia (adjusted hazard ratio [AHR] = 1.24; 95% confidence interval [CI]: 1.19–1.29). Patients with heat stroke had a higher risk of dementia compared with individuals without HRI (AHR = 1.26; 95% CI: 1.18–1.34). In the animal experiment, we found cognitive dysfunction evidenced by animal behavioral tests and observed remarkable neuronal damage, degeneration, apoptosis, and amyloid plaque deposition in the hippocampus after a heat stroke event. Conclusions Our epidemiological study indicated that HRI elevated the risk of dementia. This finding was substantiated by the histopathological features observed in the hippocampus, along with the cognitive impairments detected, in the experimental heat stroke rat model.

AimTransitional care in the emergency department (ED) has the potential to improve outcomes for older patients, but the specific population benefits from it and impact in Taiwan remain unclear. Therefore, we conducted this study.MethodsAn interdisciplinary team comprising emergency physicians, dedicated transitional care nurse (TCN), nurse practitioners, nurses, geriatricians, and social workers was established at a tertiary medical center. TCN conducted screenings of ED patients (≥75 years) awaiting hospitalization to identify those in need of social or care support and aid as required. The team held regular meetings to address transitional care challenges. A retrospective analysis was conducted, comparing patients who received transitional care with those who did not, between February 1, 2022, and October 31, 2022, followed by a three-month outcome assessment.ResultsWe successfully implemented a novel ED transitional care model, involving 183 patients with TCN assistance and 374 patients without. Compared to patients without TCN, those with TCN were older, had more underlying comorbidities, required more nasogastric feeding and Foley indwelling, and had higher rates of hospice and palliative care. The common needs for TCN included providing home care instructions to a foreign caregiver (38.4%), long-term care referral (30.0%), care instructions for family members of older adults in long-term care facilities (26.3%), social worker referral (3.2%), and home healthcare referral (2.1%). Follow-up analysis showed no significant outcome differences between the two cohorts.ConclusionThe model we implemented identified the population benefiting from this service. Despite the frailty of patients receiving TCN, their outcomes were not inferior, suggesting the potential benefits of TCN for this population. Further research is warranted.

Summary: Antibody–drug conjugates (ADCs) have become an important class of anticancer drugs in solid tumors including drug-resistant gynecologic malignancies. TROP2 is a cell surface antigen that is highly expressed in ovarian carcinoma (OC) but minimally expressed in normal ovarian tissues. In this study, we aimed to identify how TROP2-specific ADC, sacituzumab govitecan (SG), modulates DNA damage response pathways in drug-resistant OC. We found that SG induces G2/M arrest, increases RPA1 foci, and decreases replication fork speed, resulting in replication stress in TROP2-positive cells while these were less evident in TROP2-negative cells. In OC in vitro and in vivo models, SN-38 sensitivity and TROP2 expression play key roles in response to either ATR inhibitor or SG alone, or in combination. Additionally, inhibition of translesion DNA synthesis enhances SG and PARP inhibitor (PARPi) sensitivity in PARPi-resistant OC cells. These findings provide mechanistic insights for clinical development of SG in drug-resistant OC.

Sciaenidae is one of the most important coastal fisheries in Taiwan, both in production and economic value. It is also significant as the main targetted diet of Chinese white dolphins, Sousa chinensis, especially for the genus Johnius, such as J. taiwanensis, J. belangerii and J. distinctus, which is primarily found in central-western Taiwan coastal waters. Despite an abundance of Johnius species occurrences reported in the Global Biodiversity Information Facility (GBIF) and the Taiwan Biodiversity Information Facility (TaiBIF) data portals (Mozambique, Australia, Taiwan, Korea, India, Indonesia, South Africa, Pakistan, Vietnam and China), there are no specific datasets that properly document the regional distribution of this genus, especially in Taiwanese waters. Thus, this paper describes a dataset of genus Johnius occurrences in waters on the central-western coast of Taiwan. The data collection for the present study was conducted from 2009 until 2020 and comprised 62 sampling events and 133 occurrence records. All fish specimens were collected by trawling in Miaoli, Changhwa and Yunlin Counties, Taiwan and brought back to the lab for identification, individual number count and body weight measurement. These processing data have been integrated and established in the Taiwan Fish Database and published in GBIF. This dataset contains six Johnius species and 2,566 specimens, making it comprehensive Johnius fish fauna and spatial distributional data on the coastal habitat in central-western Taiwanese waters.This dataset contains 133 occurrence records of Johnius species (Sciaenidae) with 2,566 specimens, making it the most extensive public dataset of Johnius distribution records in Taiwan. The publication of this dataset through the TaiBIF and GBIF dataset platforms demonstrated that the number of Johnius spatial and temporal records in Taiwan waters is influenced by the topographical structure of the Changyun Rise (CYR) in combination with the cold current of the China Coastal currents and bound with the warm currents of the Kuroshio and the South China Sea on the central-western coast of Taiwan. The data serve as the foundation for understanding the biogeography and Johnius species ecology in Taiwan's coastal waters, which present a 2°C water temperature difference split at the CYR.

Abstract Background Our study aimed to confirm a simplified radiological scoring system, derived from a modified Reiff score, to evaluate its relationship with clinical symptoms and predictive outcomes in Taiwanese patients with noncystic fibrosis bronchiectasis (NCFB). Methods This extensive multicenter retrospective study, performed in Taiwan, concentrated on patients diagnosed with NCFB verified through high-resolution computed tomography (HRCT) scans. We not only compared the clinical features of various types of bronchiectasis (cylindrical, varicose, and cystic). Furthermore, we established relationships between the severity of clinical factors, including symptom scores, pulmonary function, pseudomonas aeruginosa colonization, exacerbation and admission rates, and HRCT parameters using modified Reiff scores. Results Data from 2,753 patients were classified based on HRCT patterns (cylindrical, varicose, and cystic) and severity, assessed by modified Reiff scores (mild, moderate, and severe). With increasing HRCT severity, a significant correlation was found with decreased forced expiratory volume in the first second (FEV1) (p

Abstract Background Prior studies have reported a potential relationship between depressive disorder (DD), immune function, and inflammatory response. Some studies have also confirmed the correlation between immune and inflammatory responses and Bell’s palsy. Considering that the pathophysiology of these two diseases has several similarities, this study investigates if DD raises the risk of developing Bell’s palsy. Methods This nationwide propensity score-weighting cohort study utilized Taiwan National Health Insurance data. 44,198 patients with DD were identified as the DD cohort and 1,433,650 adult subjects without DD were identified as the comparison cohort. The inverse probability of treatment weighting (IPTW) strategy was used to balance the differences of covariates between two groups. The 5-year incidence of Bell’s palsy was evaluated using the Cox proportional-hazard model, presenting results in terms of hazard ratios (HRs) and 95% confidence intervals (CIs). Results The average age of DD patients was 48.3 ± 17.3 years, and 61.86% were female. After propensity score-weighting strategy, no significant demographic differences emerged between the DD and comparison cohort. The Cox proportional hazards model revealed a statistically significant adjusted IPTW-HR of 1.315 (95% CI: 1.168–1.481) for Bell’s palsy in DD patients compared to comparison subjects. Further independent factors for Bell’s palsy in this model were age (IPTW-HR: 1.012, 95% CI: 1.010–1.013, p

Background: Candida is one of the common pathogens in nosocomial infections. Culture is the gold standard for diagnosing candidemia. Candida albicans is identified via the germ tube test, which uses serum as the culture medium, which is costly and time-consuming. This study was conducted to evaluate and compare a relatively simple, fast, and reliable method for the detection of Candida albicans . Methods: We conducted this randomized case study at Taipei City Hospital (TCH) from January 2023 to August 2023, with a total of 30 specimen culture reports collected and confirmed to be cases of Candida albicans infection. A germ tube test was performed in a 37°C water bath using serum, plasma, and safe plasma products (Fresh Frozen Plasma, FFP). Further, the same procedures were repeated with the addition of 22% bovine serum albumin (BSA) to the identification/culture. Results: By adding BSA, more than 50% of the budding phenomenon was observed in 40 minutes, which shortened the diagnosis time compared with the traditional method (2-3 hours). Using BSA can shorten the identification time for early clinical medication and improve the quality of medical care Conclusion: Using safer plasma products for germ tube test of candidiasis not only reduced the risk of infection for medical technicians but could also replace the serum used in traditional methods to increase convenience and save time. This study proposed BSA as a germ tube induction medium enhancer, which reduced the culture time, thereby enabling quicker diagnosis of C. albicans infections.

Previous studies have suggested a possible association between carbon monoxide poisoning (COP) and hypothyroidism, but the evidence is limited. Therefore, the aim of this study was to further investigate this relationship. Using data from the Taiwan National Health Research Database, we identified 32,162 COP patients and matched with 96,486 non-COP patients by age and index date for an epidemiological study. The risk of hypothyroidism was compared between the two cohorts until 2018. Independent predictors of hypothyroidism were analyzed using competing risk analysis. An animal study was also conducted to support the findings. COP patients had an increased risk of hypothyroidism compared to non-COP patients in the overall analysis (adjusted hazard ratio [AHR]= 3.88; 95 % confidence interval [CI]: 3.27−4.60) and in stratified analyses by age, sex, and comorbidities. The increase in the overall risk persisted even after more than six years of follow-up (AHR= 4.19; 95 % CI: 3.18−5.53). Independent predictors of hypothyroidism, in addition to COP, included age ≥65 years, female sex, hyperlipidemia, and mental disorder. The animal study showed damages in the hypothalamus, pituitary gland, and thyroid, as well as altered hormone levels 28 days after COP exposure. The epidemiological results showed an increased risk of hypothyroidism in COP patients, which was further supported by the animal study. These findings suggest the need for close monitoring of thyroid function in COP patients, especially in those who are age ≥65 years, female, and have hyperlipidemia or mental disorder.

BackgroundDiagnosing underlying causes of nonneurogenic male lower urinary tract symptoms associated with bladder outlet obstruction (BOO) is challenging. Video-urodynamic studies (VUDS) and pressure-flow studies (PFS) are both invasive diagnostic methods for BOO. VUDS can more precisely differentiate etiologies of male BOO, such as benign prostatic obstruction, primary bladder neck obstruction, and dysfunctional voiding, potentially outperforming PFS. ObjectiveThese examinations’ invasive nature highlights the need for developing noninvasive predictive models to facilitate BOO diagnosis and reduce the necessity for invasive procedures. MethodsWe conducted a retrospective study with a cohort of men with medication-refractory, nonneurogenic lower urinary tract symptoms suspected of BOO who underwent VUDS from 2001 to 2022. In total, 2 BOO predictive models were developed—1 based on the International Continence Society’s definition (International Continence Society–defined bladder outlet obstruction; ICS-BOO) and the other on video-urodynamic studies–diagnosed bladder outlet obstruction (VBOO). The patient cohort was randomly split into training and test sets for analysis. A total of 6 machine learning algorithms, including logistic regression, were used for model development. During model development, we first performed development validation using repeated 5-fold cross-validation on the training set and then test validation to assess the model’s performance on an independent test set. Both models were implemented as paper-based nomograms and integrated into a web-based artificial intelligence prediction tool to aid clinical decision-making. ResultsAmong 307 patients, 26.7% (n=82) met the ICS-BOO criteria, while 82.1% (n=252) were diagnosed with VBOO. The ICS-BOO prediction model had a mean area under the receiver operating characteristic curve (AUC) of 0.74 (SD 0.09) and mean accuracy of 0.76 (SD 0.04) in development validation and AUC and accuracy of 0.86 and 0.77, respectively, in test validation. The VBOO prediction model yielded a mean AUC of 0.71 (SD 0.06) and mean accuracy of 0.77 (SD 0.06) internally, with AUC and accuracy of 0.72 and 0.76, respectively, externally. When both models’ predictions are applied to the same patient, their combined insights can significantly enhance clinical decision-making and simplify the diagnostic pathway. By the dual-model prediction approach, if both models positively predict BOO, suggesting all cases actually resulted from medication-refractory primary bladder neck obstruction or benign prostatic obstruction, surgical intervention may be considered. Thus, VUDS might be unnecessary for 100 (32.6%) patients. Conversely, when ICS-BOO predictions are negative but VBOO predictions are positive, indicating varied etiology, VUDS rather than PFS is advised for precise diagnosis and guiding subsequent therapy, accurately identifying 51.1% (47/92) of patients for VUDS. ConclusionsThe 2 machine learning models predicting ICS-BOO and VBOO, based on 6 noninvasive clinical parameters, demonstrate commendable discrimination performance. Using the dual-model prediction approach, when both models predict positively, VUDS may be avoided, assisting in male BOO diagnosis and reducing the need for such invasive procedures.

Abstract Objectives The irreversible epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs) afatinib and dacomitinib are approved for first-line treatment of EGFR mutation-positive non-small cell lung cancer (NSCLC). We aimed to compare the efficacy and safety of afatinib and dacomitinib in this setting. Materials and methods Between September 2020 and March 2023, we retrospectively recruited patients diagnosed with advanced-stage EGFR-mutant NSCLC who were treated with first-line irreversible EGFR-TKIs. The enrolled patients were assigned to two groups based on whether they received afatinib or dacomitinib. Results A total of 101 patients were enrolled in the study (70 to afatinib and 31 to dacomitinib). The partial response rates (PR) for first-line treatment with afatinib and dacomitinib were 85.7 and 80.6% (p = 0.522). The median progression-free survival (PFS) (18.9 vs. 16.3 months, p = 0.975) and time to treatment failure (TTF) (22.7 vs. 15.9 months, p = 0.324) in patients with afatinib and dacomitinib treatment were similar. There was no significant difference observed in the median PFS (16.1 vs. 18.9 months, p = 0.361) and TTF (32.5 vs. 19.6 months, p = 0.182) between patients receiving the standard dose and those receiving the reduced dose. In terms of side effects, the incidence of diarrhea was higher in the afatinib group (75.8% vs. 35.5%, p

This study examines the application of Large Language Models (LLMs) in predicting imminent electrical safety incidents using extensive smart meter data. The proliferation of smart meters in residential settings has led to the generation of large-scale datasets, which provide valuable insights into household electricity consumption trends. However, early detection of hazardous electrical conditions, such as overloads or short circuits, remains an arduous challenge. This research proposes a novel methodology that utilizes LLMs to analyze real-time electricity usage data, employing a defined text-based encoding of numerical values to identify potential electrical hazards. By training the model on historical consumption data from over 700 households, this approach aims to uncover subtle patterns that may indicate precursors to unsafe electrical conditions. Results indicate that LLMs significantly improve predictive accuracy for identifying such incidents, thus offering a proactive strategy for mitigating electrical safety risks. This work contributes to the fields of energy management and electrical safety by equipping utility providers and homeowners with early warnings and actionable insights that support the prevention of electrical safety accidents.