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There has recently been a global increase in economic losses due to cyberattacks. However, research on the economic damage caused by cyberattacks has mainly focused on attacked companies, and spillover damage to other sectors has not been sufficiently investigated. This study analyzed the economic losses from cyberattacks in Japan using the production function and input–output model to improve the accuracy of damage prediction and various national measures. First, we provide an estimation method for the annual direct damage by industry using a production function. The mainstream input dataset is lost working hours owing to cyber incidents. Second, we devised a model to estimate the amount of spillover damage to the entire country using the input–output model. Third, although the cyber damage data were limited to only interview data by the JNSA and IPA, we showed the process of estimating direct and spillover damage in all sectors in Japan. As a result, we consider that our estimation method is feasible and effective at the national level. This study contributes to future research on cyber resilience by analyzing the damage caused by cyberattacks from a macroeconomic perspective using a production function and input–output model.

This study proposes a security-quality-metrics method tailored for the Internet of things (IoT) and evaluates conformity of the proposed approach with pertinent cybersecurity regulations and guidelines for IoT. Cybersecurity incidents involving IoT devices have recently come to light; consequently, IoT security correspondence has become a necessity. The ISO 25000 series is used for software; however, the concept of security as a quality factor has not been applied to IoT devices. Because software vulnerabilities were not the device vendors’ responsibility as product liability, most vendors did not consider the security capability of IoT devices as part of their quality control. Furthermore, an appropriate IoT security-quality metric for vendors does not exist; instead, vendors have to set their security standards, which lack consistency and are difficult to justify by themselves. To address this problem, the authors propose a universal method for specifying IoT security-quality metrics on a globally accepted scale, inspired by the goal/question/metric (GQM) method. The method enables vendors to verify their products to conform to the requirements of existing baselines and certification programs and to help vendors to tailor their quality requirements to meet the given security requirements. The IoT users would also be able to use these metrics to verify the security quality of IoT devices.

Malicious document files used in targeted attacks often contain a small program called shellcode. It is often hard to prepare a runnable environment for dynamic analysis of these document files because they exploit specific vulnerabilities. In these cases, it is necessary to identify the position of the shellcode in each document file to analyze it. If the exploit code uses executable scripts such as JavaScript and Flash, it is not so hard to locate the shellcode. On the other hand, it is sometimes almost impossible to locate the shellcode when it does not contain any JavaScript or Flash but consists of native x86 code only. Binary fragment classification is often applied to visualize the location of regions of interest, and shellcode must contain at least a small fragment of x86 native code even if most of it is obfuscated, such as, a decoder for the obfuscated body of the shellcode. In this paper, we propose a novel method, o-glasses, to visualize the shellcode by recognizing the x86 native code using a specially designed one-dimensional convolutional neural network (1d-CNN). The fragment size needs to be as small as the minimum size of the x86 native code in the whole shellcode. Our results show that a 16-instruction-sequence (approximately 48 bytes on average) is sufficient for the code fragment visualization. Our method, o-glasses (1d-CNN), outperforms other methods in that it recognizes x86 native code with a surprisingly high F-measure rate (about 99.95%).

The reduced growth performance of individuals from range edges is a common phenomenon in various taxa, and considered to be an evolutionary factor that limits the species’ range. However, most studies did not distinguish between two mechanisms that can lead to this reduction: genetic load and adaptive selection to harsh conditions. To address this lack of understanding, we investigated the climatic and genetic factors underlying the growth performance of Betula ermanii saplings transplanted from 11 populations including high-altitude edge and low-latitude edge population. We estimated the climatic position of the populations within the overall B. ermanii’s distribution, and the genetic composition and diversity using restriction-site associated DNA sequencing, and measured survival, growth rates and individual size of the saplings. The high-altitude edge population (APW) was located below the 95% significance interval for the mean annual temperature range, but did not show any distinctive genetic characteristics. In contrast, the low-latitude edge population (SHK) exhibited a high level of linkage disequilibrium, low genetic diversity, a distinct genetic composition from the other populations, and a high relatedness coefficient. Both APW and SHK saplings displayed lower survival rates, heights and diameters, while SHK saplings also exhibited lower growth rates than the other populations’ saplings. The low heights and diameters of APW saplings was likely the result of adaptive selection to harsh conditions, while the low survival and growth rates of SHK saplings was likely the result of genetic load. Our findings shed light on the mechanisms underlying the reduced growth performance of range-edge populations.

The antiviral effects of both a live and non-live Lactobacillus acidophilus strain L-92 (L-92) were investigated by oral administration (10 mg/mouse per d) daily for 21 d in a mouse model infected intranasally with influenza virus (H1N1). Virus titres in the lung of mice administered either live or non-live L-92 cells daily for 15 d were repressed 6 d after virus infection compared with the control group. Natural killer (NK) activity in the orally administered non-live L-92 group was higher compared with that of the control group before virus infection and on day 6. In contrast, NK activity in the live L-92 group compared with the control group was not significantly changed on both days, but was significantly higher on day 1. In contrast, live L-92 showed a greater repression of virus proliferation compared with non-live L-92, 6 d after the infection. Live L-92 decreased the number of neutrophils in the lung and suppressed lung weight, leading to the consequent deterioration of consolidation scores of the lung. These results indicated that pretreatment of live or non-live L-92 cells had protective effects against influenza virus infection. Among the measured cytokines and chemokines, eotaxin, macrophage colony-stimulating factor, IL-1β, RANTES (regulated on activation, normal T cell expressed and secreted) and interferon-α were significantly increased in the lung: IL-17 was significantly increased in Peyer's patch of the live L-92 group compared with the control group. A mechanistic study suggested that the enhancement of NK activity in the lung caused by stimulating various antiviral cytokines and chemokines after the oral administration of L-92 cells might be important in protecting against virus infection.

Objectives To aim of this study was to clarify the safety of simultaneous thoracic aortic endografting and combined resection of the aortic wall and thoracic malignancy in a one-stage procedure over the early and mid-term periods. Methods From March 2013 to December 2017, 6 patients underwent aortic endografting followed by one-stage en bloc resection of the tumor and aortic wall. Thoracic surgeons and cardiovascular surgeons discussed predicted tumor invasion range and resection site, stent placement position, stent length and size, and the surgical procedure, taking into account the safe margin. Results The proximal site of aortic endografting was the: aortic arch in 2 cases (subclavian artery (SCA) occlusion in one, and SCA fenestration in one); distal arch just beneath the SCA in 2; descending aorta in 2. Pulmonary resection involved lobectomy in 2 patients, pneumonectomy in 2, and completion pneumonectomy in 1. Aortic resection was limited to the adventitia in 2 cases, extended to the media in 3, and extended to the intima in 1. An endograft-related complication, external iliac artery intimal damage requiring vessel repair, was observed in one case. No complications associated with aortic resection were observed. Two postoperative complications of atrial fibrillation and chylothorax developed. There were no surgery-related deaths. During follow-up, no late endograft-related complications such as migration or endoleaks occurred. Conclusions Early and mid-term outcomes of stent graft-related complications are acceptable. Simultaneous thoracic aortic endografting and combined resection of the aortic wall and thoracic malignancies are feasible in one stage on the same day.

BackgroundEndoscopic ultrasound-guided rendezvous technique (EUS-RV) has emerged as an effective salvage method for unsuccessful biliary cannulation. However, its application for benign and resectable malignant biliary disorders has not been fully evaluated.AimsTo assess the efficacy and safety of EUS-RV for benign and resectable malignant biliary disorders.MethodsThis was a multicenter prospective study from 12 Japanese referral centers. Patients who underwent EUS-RV after failed biliary cannulation for biliary disorder were candidates for this study. Inclusion criteria were unsuccessful biliary cannulation for therapeutic endoscopic retrograde cholangiopancreatography with benign and potentially resectable malignant biliary obstruction. Exclusion criteria included unresectable malignant biliary obstruction, inaccessible papillae due to surgically altered upper gastrointestinal anatomy or duodenal stricture, and previous sphincterotomy and/or biliary stent placement. The primary outcome was the technical success rate of biliary cannulation; procedure time, adverse events, and clinical outcomes were secondary outcomes.ResultsTwenty patients were prospectively enrolled. The overall technical success rate and median procedure time were 85% and 33 min, respectively. Guidewire manipulation using a 4-Fr tapered tip catheter contributed to the success in advancing the guidewire into the duodenum. Adverse events were identified in 15% patients, including 2 with biliary peritonitis and 1 mild pancreatitis. EUS-RV did not affect surgical maneuvers or complications associated with surgery, or postoperative course.ConclusionsEUS-RV may be a safe and feasible salvage method for unsuccessful biliary cannulation for benign or resectable malignant biliary disorders. Use of a 4-Fr tapered tip catheter may improve the overall EUS-RV success rate.

General anesthesia is commonly used in the surgical arena, but little is known regarding its influence at the genomic and molecular levels. MicroRNAs (miRNAs) belong to a new class of non-coding RNA molecules which influence cell biology. In the present study, it was hypothesized that miRNAs alter gene expression levels under general anesthesia. The aim was to compare the miRNA expression profiles in the rat hippocampus in response to anesthesia with representative volatile (sevoflurane) and intravenous (propofol) anesthetics. Wistar Rats were randomly assigned to either a 2.4% sevoflurane, 600 μg/kg/min propofol or control (without anesthetics) group. Total RNA from hippocampal samples which contained miRNA was subjected to quantitative reverse transcription-polymerase chain reaction and Taqman Low-Density Arrays (TLDA). A total of 373 miRNAs are associated with rats and the TLDA analysis revealed that 279 expressed miRNAs (74.8%) were expressed in all three groups. Significant differences in the levels of 33 of the 279 expressed miRNAs (11.8%) were observed among the three groups in response to the anesthetic agents, and when compared with the control group, significant differences were found in 26 of the 279 expressed miRNAs (9.3%). Following sevoflurane anesthesia, the levels of four miRNAs were significantly increased and those of 12 were significantly reduced. By contrast, following propofol anesthesia, the levels of 11 miRNAs were significantly reduced but no miRNAs exhibited significantly elevated levels. Fourteen miRNAs were significantly differentially expressed between the two anesthesia groups. In conclusion, sevoflurane and propofol exerted different effects on miRNA expression in the rat hippocampus.

Volatile anesthetics have a lung protective effect in acute lung injury (ALI). Our previous study showed sevoflurane affects the expression of microRNA (miRNA) that control various physiological systems by regulating messenger RNA (mRNA) expression. However, the association between the anti-inflammatory effect of sevoflurane and miRNAs modulation remains unknown. The aim of the present study was to investigate the effect of sevoflurane and the expression of miRNAs in an endotoxin-induced ALI model in rats. Wistar rats were randomly assigned to three groups [lipopolysaccharide (LPS), LPS-sevoflurane and control; n=8/group]. All the rats were mechanically ventilated and intravenously-administered LPS (saline as control). Two hours post-injury, general anaesthesia was performed for 4 h with 2% sevoflurane (LPS-sevoflurane). The LPS and the control groups did not receive anaesthesia. The severity of ALI was evaluated by partial pressure of oxygen/fraction of inspired oxygen and the mRNA expression of inflammatory cytokine. The miRNA expression in lung tissue was analyzed by a reverse transcription-quantitative polymerase chain reaction. LPS caused ALI, evidenced by the impairment of pulmonary function and increased mRNA levels of tumor necrosis factor-α, interleukin-6 and nuclear factor-κB. Sevoflurane improved pulmonary function and inhibited the increased mRNAs. Of the 219 miRNAs detected, 15 and nine miRNAs were significantly changed in the LPS and LPS-sevoflurane group, respectively. In the LPS-sevoflurane group, the expression of several miRNAs that regulate inflammation was significantly changed compared to the LPS group. In conclusion, the present data showed that sevoflurane influences the expression of the miRNAs that regulate inflammation. This result suggests that the changes in miRNA expression are involved in the lung protective mechanisms of volatile anesthetics.