Search

China has become a workshop for the world, and manufacturing in the country is increasingly moving beyond labor-intensive, low value-added products. As a result, companies in different industries around the world are facing increasing competition. Taiwan's bicycle industry is a good example. Taiwan's A-Team aims to establish standardization to achieve the functions of an industrial platform in the bicycle industry. Taiwan's A-Team forms an innovation ecosystem through the participation of domestic and foreign complementary companies and suppliers. The companies of Taiwan's A-Team focus on high value-added products in the global bicycle industry by competing and cooperating with each other in the innovation ecosystem. A study of Taiwan's A-Team provides a number of insights into how this goal is achieved.

ObjectiveUnprecedented SARS-CoV-2 infections in farmed minks raised immediate concerns regarding transmission to humans and initiated intensive environmental investigations to assess occupational and environmental exposure.MethodsAir sampling was performed at infected Dutch mink farms, at farm premises and at nearby residential sites. A range of other environmental samples were collected from minks’ housing units, including bedding materials. SARS-CoV-2 RNA was analysed in all samples by quantitative PCR.ResultsInside the farms, considerable levels of SARS-CoV-2 RNA were found in airborne dust, especially in personal inhalable dust samples (approximately 1000–10 000 copies/m3). Most of the settling dust samples tested positive for SARS-CoV-2 RNA (82%, 75 of 92). SARS-CoV-2 RNA was not detected in outdoor air samples, except for those collected near the entrance of the most recently infected farm. Many samples of minks’ housing units and surfaces contained SARS-CoV-2 RNA.ConclusionsInfected mink farms can be highly contaminated with SARS-CoV-2 RNA. This warns of occupational exposure, which was substantiated by considerable SARS-CoV-2 RNA concentrations in personal air samples. Dispersion of SARS-CoV-2 to outdoor air was found to be limited and SARS-CoV-2 RNA was not detected in air samples collected beyond farm premises, implying a negligible risk of environmental exposure to nearby communities. Our occupational and environmental risk assessment is in line with whole genome sequencing analyses showing mink-to-human transmission among farm workers, but no indications of direct zoonotic transmission events to nearby communities.

Background A lack of scientific information regarding the risk factors and diagnosis of peri-implant atypical femoral fracture (PI-AFF) exists. We report a case series of developed PI-AFF with a nail or plate construct wherein prior femoral fractures were already healed after osteosynthesis. This study aimed to identify the cause and risk factors of PI-AFF and to devise a preventive method based on this. Methods We identified 11 PI-AFFs displaying features of AFFs. All patients were ambulant females (mean age, 74.9 years). The mean T-score of the femur measured by DEXA (Dual Energy X-ray Absorptiometry) scan was 3.5. Osteosynthesis was performed with a plate and an intramedullary nail in six and five patients, respectively. Possible risk factors were investigated, including the used implant, the medication of bisphosphonate, the characteristics of previous fracture (AFF or non-AFF), and the co-existence of AFF on the contralateral side. Results The PI-AFFs developed at an average of 6.6 years from the time of prior fracture. All fractures were located at the screw through the plate or nail. Regarding anatomic locations, seven and four fractures were at the subtrochanteric area and diaphysis, respectively. Diaphyseal PI-AFFs occurred in plating cases, all of which were associated with excessive femoral bowing. Subtrochanteric PI-AFFs included all five patients with nail fixation, which occurred near a proximal interlocking screw. Six of the 11 patients were on bisphosphonate treatment before or at the time of fracture. The duration of bisphosphonate treatment was 6 years on average. Concerning the previous femoral fractures, seven and four patients were AFF and non-AFF, respectively. Considering the pathology on the contralateral leg, eight had suffered diaphyseal AFF. Four patients were treated nonoperatively. Seven patients needed an operation; 6 of them healed after reconstruction nailing, and one needed hip arthroplasty because of the associated displaced femoral neck fracture. Conclusions PI-AFFs may develop through the screw hole at the subtrochanteric or diaphyseal area due to femoral fragility and stress riser effect of the implant. An improved osteosynthesis strategy may be necessary to avoid PI-AFFs when fixing osteoporotic femoral fractures.

Background Impact of immeasurable time bias (IMTB) is yet to be examined in self-controlled designs. Methods We conducted case-crossover, case-time-control, and case-case-time-control analyses using Korea's healthcare database. Two empirical examples among elderly patients were used: 1) benzodiazepines-hip fracture; 2) benzodiazepines-mortality. For cases, the date of hip fracture diagnosis or death was defined as the index date, and the inherited date of their matched cases for controls or future cases. Exposure was assessed in the 1-30 day (hazard) and 61-90 day (control) windows preceding the index date. A non-missing exposure setting included in- and outpatient prescriptions and the pseudo-outpatient setting included only the outpatients. Conditional logistic regression was done to estimate odds ratio (OR) with 95% confidence intervals (CI), where the relative difference in OR among the two settings was calculated to quantify the IMTB. Results The IMTB had negligible impacts in the hip fracture example in the case-crossover (non-missing exposure setting OR 1.27, 95% CI 1.12-1.44; pseudo-outpatient setting 1.21, 1.06-1.39; magnitude 0.05), case-time-control (1.18, 0.98-1.44; 1.13, 0.92-1.38; 0.04), and case-case-time-control analyses (0.99, 0.80-1.23; 0.94, 0.75-1.18; 0.05). In the mortality example, IMTB had significant impacts in the case-crossover (1.44, 1.36-1.52; 0.72, 0.67-0.78; 1.00), case-time-control (1.38, 1.26-1.51; 0.68, 0.61-0.76; 1.03), and case-case-time-control analyses (1.27, 1.15-1.40; 0.62, 0.55-0.69; 1.05). Conclusions Although IMTB had negligible impacts on the drug's effect on acute events as these are unlikely to be accompanied with hospitalizations, it negatively biased the drug's effect on mortality, an outcome with prodromal phases, in the three self-controlled designs.

Inflammatory pseudotumor (IPT) is a rare benign tumor of unknown etiology that can occur in almost any organ system. It has neoplastic features such as local recurrence, invasive growth, and vascular invasion, leading to the possibility of malignant sarcomatous changes. The clinical presentations of colonic IPT may include abdominal pain, anemia, a palpable mass, and intestinal obstruction. A few cases of colonic IPT have been reported, but colonic IPT with pedunculated morphology is very rare. Furthermore, since it can mimic malignant polyps, understanding the endoscopic findings of colonic IPT is important for proper treatment. Herein, we present a case of colonic IPT with pseudosarcomatous changes, presenting as a large polyp, mimicking a malignant polyp in the cecum, along with a literature review.

Background Although many studies have investigated iatrogenic radial nerve palsy (RNP) in humerus shaft fracture, there is inconsistent evidence on which approach leads to iatrogenic RNP. Moreover, no meta-analysis has directly compared the anterolateral and posterior approaches regarding iatrogenic RNP. Methods In this systematic review and meta-analysis, the MEDLINE, Embase, and Cochrane Library databases were searched systematically for studies published before March 30, 2021. We included studies that (1) assessed the RNP in the surgical treatment of humerus shaft fracture and (2) directly compared the anterolateral and posterior approaches regarding the RNP. We performed synthetic analyses of the incidence of iatrogenic RNP and the recovery rate of iatrogenic RNP in humerus shaft fracture between the anterolateral and posterior approaches. Results Our study enrolled nine studies, representing 1303 patients who underwent surgery for humerus shaft fracture. After exclusion of traumatic RNP, iatrogenic RNP was reported in 35 out of 678 patients in the anterolateral approach and in 69 out of 497 patients in the posterior approach. Pooled analysis revealed that the incidence of iatrogenic RNP was significantly higher in the posterior approach than in the anterolateral approach (OR = 2.72; 95% confidence interval (CI), 1.70-4.35; P Conclusion In this meta-analysis, the posterior approach showed a higher incidence of iatrogenic RNP than the anterolateral approach in the surgical treatment of humerus shaft fracture. With limited studies, it is difficult to anticipate if any particular approach favors the recovery of iatrogenic RNP.

Cycling is an eco-friendly and sustainable mode of transportation. Despite its benefits, the cyclists’ risk of collision is still high when interacting with other road users. This study analyzed self-reported near-miss and collision event descriptions for the United States provided by the crowdsourcing platform, BikeMaps.org. Innovative and efficient analytic methods are needed to generate useful information from unstructured textual data sources in the transportation domain. In this study, explorative text mining, topic modeling, and machine learning are utilized to gain insights from the unstructured textual descriptions of crowdsourced near-miss and collision events. The approaches are used to unveil prevalent words and word associations for near-miss and collision events. Structural Topic Modeling (STM) is deployed to autogenerate latent themes or topics from the event descriptions. The generated topic proportions are used as input in Artificial Neural Networks (ANN) to estimate the cyclist’s propensity to a collision. It was found that cyclists had a higher propensity to a collision in topics that articulated vehicle encroachment to the bike lane, on-street parking close or into the bike lane resulting in dooring, and drivers’ violations at the crosswalk. The results and methodology used in this study can assist engineers, policymakers, and law enforcement officers to proactively reduce potential cyclist collisions, prioritizing areas where cyclist safety improvements are needed, and ultimately promoting bicycle ridership in our communities.

Background: Epidemiological studies have associated biomass combustion with (respiratory) morbidity and mortality, primarily in indoor settings. Barbecuing results in high outdoor air pollution exposures, but the health effects are unknown. Objective: The objective was to investigate short-term changes in respiratory health in healthy adults, associated with exposure to barbecue fumes. Methods: 16 healthy, adult volunteers were exposed to barbecue smoke in outdoor air in rest during 1.5 h, using a repeated-measures design. Major air pollutants were monitored on-site, including particulate matter

Chronic lymphocytic leukemia (CLL) is preceded by monoclonal B-cell lymphocytosis (MBL), a CLL precursor state with a prevalence of up to 12% in aged individuals; however, the duration of MBL and the mechanisms of its evolution to CLL remain largely unknown. In this study, we sequenced the B-cell receptor (BcR) immunoglobulin heavy chain (IGH) gene repertoire of 124 patients with CLL and 118 matched controls in blood samples taken up to 22 years prior to diagnosis. Significant skewing in the BcR IGH gene repertoire was detected in the majority of patients, even before the occurrence of lymphocytosis and irrespective of the clonotypic IGH variable gene somatic hypermutation status. Furthermore, we identified dominant clonotypes belonging to major stereotyped subsets associated with poor prognosis up to 16 years before diagnosis in 14 patients with CLL. In 22 patients with longitudinal samples, the skewing of the BcR IGH gene repertoire increased significantly over time to diagnosis or remained stable at high levels. For 14 of 16 patients with available samples at diagnosis, the CLL clonotype was already present in the prediagnostic samples. Overall, our data indicate that the preclinical phase of CLL could be longer than previously thought, even in adverse-prognostic cases.

Few-shot learning is an emerging yet challenging problem in which the goal is to achieve generalization from only few examples. Meta-learning tackles few-shot learning via the learning of prior knowledge shared across tasks and using it to learn new tasks. One of the most representative meta-learning algorithms is the model-agnostic meta-learning (MAML), which formulates prior knowledge as a common initialization, a shared starting point from where a learner can quickly adapt to unseen tasks. However, forcibly sharing an initialization can lead to conflicts among tasks and the compromised (undesired by tasks) location on optimization landscape, thereby hindering task adaptation. Furthermore, the degree of conflict is observed to vary not only among the tasks but also among the layers of a neural network. Thus, we propose task-and-layer-wise attenuation on the compromised initialization to reduce its adverse influence on task adaptation. As attenuation dynamically controls (or selectively forgets) the influence of the compromised prior knowledge for a given task and each layer, we name our method Learn to Forget (L2F). Experimental results demonstrate that the proposed method greatly improves the performance of the state-of-the-art MAML-based frameworks across diverse domains: few-shot classification, cross-domain few-shot classification, regression, reinforcement learning, and visual tracking.

Background: Helicobacter pylori is a major risk factor for gastric cancer. Screening and treatment of H. pylori may reduce the risk of gastric cancer and peptic ulcer disease. Polymerase chain reaction (PCR) of gastric biopsies provides superior sensitivity and specificity for the detection of H. pylori. This study explores whether population-based H. pylori screening with PCR is cost-effective in the US.Methods: A Markov cohort state-transition model was developed to compare three strategies: no screening with opportunistic eradication, 13C-UBT population screening and treating of H. pylori, and PCR population screening and treating of H. pylori. Estimates of risks and costs were obtained from published literature. Since the efficacy of H. pylori therapy in gastric cancer prevention is not certain, we broadly varied the benefit 30-100% in sensitivity analysis.Results: PCR screening was cost-effective and had an incremental-cost effectiveness ratio per quality adjusted life-year (QALY) of $38,591.89 when compared to 13C-UBT strategy with an ICER of $2373.43 per QALY. When compared to no screening, PCR population screening reduced cumulative gastric cancer incidence from 0.84% to 0.74% and reduced peptic ulcer disease risk from 14.8% to 6.0%. The cost-effectiveness of PCR screening was robust to most parameters in the model.Conclusion: Our modeling study finds PCR screening and treating of H. pylori to be cost-effective in the prevention of gastric cancer and peptic ulcer disease. However, the potential negative consequences of H. pylori eradication such as antibiotic resistance could change the balance of benefits of population screening.

Background /Purpose(s): The World Health Organization (WHO) released treatment guidelines for multidrug resistant tuberculosis (MDR-TB) in 2008, with subsequent revisions in 2011; Korea disseminated corresponding guidelines in 2011 and 2014, respectively. Thus, we aimed to investigate the temporal trends of and the updated guideline’s impact on the prescription patterns of anti-TB drugs. Methods We conducted a time-series study using Korea’s nationwide healthcare database (2007-2015), where patients with TB or MDR-TB were included. Only anti-TB drugs prescribed during the intensive phase of treatment for TB (two months) or MDR-TB (eight months) were assessed. We estimated the annual utilization of TB treatment regimens and the relative difference (RD) in the proportion of MDR-TB treatment medications between the following periods: before the first Korean guideline (June 2008 to March 2011); between the first and revised guidelines (April 2011 to July 2014); after the revised guideline (August 2014 to December 2015). Results Of 3,523 TB (mean age 54.1 years; male 56.8%) patients, treatment regimens for TB complied with guideline recommendations as >80% of patients received either quadruple (mean 66.8%) or triple (14.5%) therapy of first-line anti-TB drugs. Following the WHO’s guideline update, prescription patterns changed accordingly among 111 MDR-TB (mean age 46.0 years; male 67.6%) patients, as use of pyrazinamide (RD +20.3%) and prothionamide (+11.5%) increased (recommended to be compulsory), and streptomycin (-43.1%) decreased (ototoxicity risks). Conclusions Anti-TB drug prescription patterns for both TB and MDR-TB well reflected WHO’s treatment guideline as well as corresponding domestic guidelines of South Korea.

Purpose The objective of this study was to determine the effects of coronavirus disease 2019 (COVID-19) on the volume of trauma patients, the number of orthopedic trauma operations, and the severity of injuries. We also investigated the correlations between social distancing and these variables.Methods This was a retrospective review of trauma patient cases at a single focused training center for trauma in Korea from January 2017 to April 2021. The COVID-19 group included patients treated from January 1 to April 30 in 2020 and 2021, and the control group included patients treated during the same months from 2017 to 2019. The volume of trauma patients according to the level of social distancing was evaluated among patients treated from August 2, 2020 to November 23, 2020.Results The study included 3,032 patients who presented to the emergency department with traumatic injuries from January to April 2017 to 2021. The average number of patients was 646.7 and 546.0 in the control and COVID-19 groups, respectively. The percentage of patients injured in traffic accidents (TAs) decreased from 25.0% to 18.2% (pp=0.0002 and pp=0.0128). The proportion of patients with an Injury Severity Score above 15 and the mortality rate did not change significantly. As the level of social distancing increased, the number of trauma patients and the number of trauma injuries from TAs decreased. The number of orthopedic trauma operations also depended on the social distancing level.Conclusions The number of trauma patients presenting to the emergency department decreased during the COVID-19 period. The volume of trauma patients and orthopedic trauma operations decreased as the social distance level increased.

Binary diffing is a process to discover the patched content between two binary programs. Previous research on binary diffing approach it as a function matching problem to formulate an initial 1:1 mapping between functions, and later a sequence matching ratio is computed to classify two functions being an exact match, a partial match or no-match. The accuracy of existing techniques is best only when detecting exact matches and they are not efficient in detecting partially changed functions; especially those with minor patch. These drawbacks are due to two major challenges (i) In 1:1 mapping phase, using a strict policy to match function features (ii) In classification phase, considering an assembly snippet as a normal text and using sequence matching for similarity comparison. An instruction has a unique structure i.e. mnemonics and registers have specific position in an instruction and also have semantic relationship, which makes assembly code different from general text. Sequence matching performs best for general text but it fail to detect structural and semantic changes at an instruction level thus, its use for classification produces many false results. In this research, we have addressed the aforementioned underlying challenges by proposing a two-fold solution. For 1:1 mapping phase, we have proposed computationally inexpensive features, which are compared with a distance based selection criteria to map the similar functions and filter unmatched functions. For classification phase, we have proposed a Siamese classification embedding neural network where each branch is an attention based distributed learning neural networkthat learn the semantic similarity among assembly instructions, learn to highlight the changes at an instruction level and a final stage fully connected layer learn to accurately classify two 1:1 mapped function either an exact or a partial match. We have used x86 kernel binaries for training and achieved 99% classification accuracy; which is higher than existing binary diffing techniques and tools.