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Recent developments in conversational technologies have attracted researchers to study their applications in recommending items through conversations. It is considered that physical robots, rather than virtual ones, are effective in situations in which robots talk about items near participants. However, in real situations, robots may be required to recommend items that are present but invisible in the scene of the communication. In this study, we conducted a field experiment in a shopping mall to investigate the effects of robot embodiment on recommendation tasks. The robots recommended a dish after talking to participants about their food preferences. We developed a conversational recommendation system and implemented it using physical and virtual robots. The field experiment was conducted in a shopping mall; the visitors were encouraged to participate. The experiment lasted a total of 99 hours (9 hours per day for 11 days) inside and in front of a food court. Although no significant difference in the behavioral aspect was confirmed, the results obtained from 272 conversations suggested that having physical bodies enhanced the satisfaction and agreement with the robots' recommendations.

Due to their high theoretical energy density, lithium-air batteries (LABs) are expected to become the standard secondary battery system of the next generation. However, for practical usage, their cycle performance needs to be improved. Thus far, few studies have investigated how the structure of carbon cathode materials affects their cycle performance. In this study, meso- to macro-porous carbon gels (CGs) heat-treated at different temperatures were prepared, and were used as model materials to discuss the relationship between carbon structure and cycle performance. Nitrogen adsorption experiments, X-ray diffraction analysis, Raman spectroscopy analysis, and thermal gravimetric analysis were conducted to derive the pore structure, crystal structure, carbon bonding state, and oxidation resistance of CGs, respectively. In addition to standard analysis methods, temperature program desorption measurements were conducted under vacuum to aid the analysis of surface oxygen-containing functional groups. Charge-discharge measurements indicated that cycle performance improves when the carbons were heat-treated at higher temperatures. Functional groups on the carbon surface were found to promote side reactions and reduce reversible capacity. Defects in the carbon are thought to promote uneven deposition of deposits which tend to cause the sudden "death" of LAB.

Takashi Miyachi,1 Kyoko Nomura,2 Sachiko Minamizono,2 Kazuki Sakai,1 Toyoto Iwata,2 Yuta Sugano,1 Shun Sawaguchi,3 Kouhei Takahashi,3 Kazuo Mishima4 1Department of Medicine, Akita University Graduate School of Medicine, Akita, Japan; 2Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine, Akita, Japan; 3Japan Health Insurance Association, Akita Branch, Akita, Japan; 4Department of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, JapanCorrespondence: Kyoko NomuraDepartment of Environmental Health Science and Public Health, Akita University Graduate School of Medicine, 1– 1– 1 Hondo, Akita, 010-8543, JapanTel +81-18-884-6086Fax +81-18-836-2609Email nomurakyoko@gmail.comPurpose: Truck drivers with insomnia are at a high risk of traffic accidents. We aimed to investigate the prevalence of insomnia and identify its associated factors among truck drivers in Japan.Methods: Participants were 2927 male truck drivers younger than 65 years old. Self-administered questionnaires were used to assess insomnia symptoms, State-Trait Anxiety Inventory, drinking, smoking habits, body mass index, caffeine intake, as well as daily driving hours, consecutive days away from home, and driving distance. Insomnia symptoms included difficulty initiating sleep, maintaining sleep and early morning awakening. Insomnia was defined when any of these symptoms were observed with daily tiredness.Results: The prevalence of insomnia among the subjects was 13.3% (n=356), of which 13.5% had difficulty initiating sleep, 78% had difficulty maintaining sleep, and 26.4% had early morning awakening. After adjusting for covariates, drinking habits, daily driving hours, and STAI score were significantly and linearly associated with insomnia; the adjusted odds ratio (OR) of drinking habits for insomnia was 1.74 [95% confidence interval (CI), 1.23– 2.47] for heavy drinkers compared to non-drinkers (trend p< 0.001); the adjusted OR of daily driving hours was 1.87 (95% CI, 1.00– 3.49) for 12 hours or longer in a day compared to < 8 hours in a day (trend p< 0.001); the adjusted OR of STAI quartiles was 5.30 (95% CI, 3.66– 7.67) for the highest quartile compared to the lowest quartile (trend p< 0.001).Conclusion: The present study demonstrated that insomnia is prevalent among truck drivers in Japan, and its risk factors include drinking habits, daily driving hours, and anxiety.Keywords: insomnia, truck driver, State-Trait Anxiety Inventory, STAI, working environment, lifestyle

The rapid expansion of online job interviews during the COVID-19 pandemic is expected to continue after the pandemic has subsided. These interviews are a significant barrier for individuals with autism spectrum disorders (ASD). There is little evidence-based training for online job interviews for individuals with ASD, and the development of new trainings is expected. In an effort to facilitate online job interview skill acquisition for individuals with ASD, we developed a group-based online job interview training program using a virtual robot (GOT). In GOT, the interviewer and interviewee are projected as virtual robots on the screen. Five participants were grouped and performed the role of interviewee, interviewer, and evaluator. The participants performed all roles in a random order. Each session consisted of a first job interview session, feedback session, and second job interview session. The participants experienced 25 sessions. Before and after GOT, the participants underwent a mock online job interview with a human professional interviewer (MOH) to evaluate the effect of GOT. In total, 15 individuals with ASD took part in the study. The GOT improved self-confidence, motivation, the understanding of others' perspectives, verbal competence, non-verbal competence, and interview performance scores. There was also a significant increase in the recognition of the importance of the point of view of interviewers and evaluators after the second MOH compared to after the first MOH. Using a VR robot and learning the importance of interview skills by experiencing other perspectives (i.e., viewpoint of interviewer and evaluator) may have sustained their motivation and enabled greater self-confidence. Given the promising results of this study and to draw definitive conclusions regarding the efficacy of virtual reality (VR) robots for mock online job interview training, further studies with larger, more diverse samples of individuals with ASD using a longitudinal design are warranted.

In recent years, communication robots aiming to offer mental support to the elderly have attracted increasing attention. Dialogue systems consisting of two robots could provide the elderly with opportunities to hold longer conversations in care homes. In this study, we conducted an experiment to compare two types of scenario-based dialogue systems with different types of bodies—physical and virtual robots—to investigate the effects of embodying such dialogue systems. Forty elderly people aged from 65 to 84 interacted with either an embodied desktop-sized humanoid robot or computer graphic agent displayed on a monitor. The elderly participants were divided into groups depending on the success of the interactions. The results revealed that (i) in the group where the robots responded more successfully with the expected conversation flow, the elderly are more engaged in the conversation with the physical robots than the virtual robots, and (ii) the elderly in the group in which robots responded successfully are more engaged in the conversation with the physical robots than those in the group in which the robots responded with ambiguous responses owing to unexpected utterances from the elderly. These results suggest that having a physical body is advantageous in promoting high engagement, and the potential advantage appears depending on whether the system can handle the conversation flow. These findings provide new insight into the development of dialogue systems assisting elderly in maintaining a better mental health.

An 80-year-old women admitted to our hospital with jaundice. Abdominal contrast-enhanced CT scan revealed an enhanced tumor, measuring 10 mm, at the duodenal ampulla. Upper endoscopy showed a submucosal tumor-like lesion at the duodenal ampulla. Immunohistochemical findings showed positive for chromogranin A and synaptophysin, and neuroendocrine carcinoma was diagnosed. Subtotal stomach-preserving pancreaticoduodenectomy with regional lymph node dissection was performed. The final diagnosis was large cell neuroendocrine carcinoma(LCNEC). Multiple metastases of liver, lung and bone were occurred 14 months after the surgery, and she died 21 months after the surgery. LCNEC of the duodenal ampulla is very rare, and its prognosis is poor.

Through numerical simulations, it is predicted that the gravitational waves (GWs) reflect the characteristics of the core-collapse supernova (CCSN) explosion mechanism. There are multiple GW excitation processes that occur inside a star before its explosion, and it is suggested that the GWs originating from the CCSN have a mode for each excitation process in terms of time-frequency representation. Therefore, we propose an application of the Hilbert-Huang Transform (HHT), which is a high-resolution time-frequency analysis method, to analyze these GW modes for theoretically probing and increasing our understanding of the explosion mechanism. The HHT defines frequency as a function of time, and is not bound by the trade-off between time and frequency resolutions. In this study, we analyze a gravitational waveform obtained from a three-dimensional general-relativistic CCSN model that showed a vigorous activity of the standing-accretion-shock-instability (SASI). We succeed in extracting the SASI induced GWs with high resolution on a time-frequency representation using the HHT and we examine their instantaneous frequencies., Comment: 12 pages, 9 figures

Ringdown gravitational waves of compact binary mergers are an important target to test general relativity. The main components of the ringdown waveform after merger are black hole quasinormal modes. In general relativity, all multipolar quasinormal modes of a black hole should give the same values of black hole parameters. Although the observed binary black hole events so far are not significant enough to perform the test with ringdown gravitational waves, it is expected that the test will be achieved in third generation detectors. The Japanese gravitational wave detector KAGRA, called bKAGRA for the current configuration, has started observation, and discussions for the future upgrade plans have also started. In this study, we consider which KAGRA upgrade plan is the best to detect the subdominant quasinormal modes of black holes in the aim of testing general relativity. We use a numerical relativity waveform as injected signals that contains two multipolar modes and analyze each mode by matched filtering. Our results suggest that the plan FDSQZ, which improves the sensitivity of KAGRA for broad frequency range, is the most suitable configuration for black hole spectroscopy.

An intra-abdominaldesmoid tumor, especially omentaldesmoid tumor, is rare. Here, we report a case of omentaldesmoid tumor after a smallbowelresection for gastrointestinalstromaltumor (GIST). A 73-year-old man underwent a partial resection of smallbowelfor GIST. He received adjuvant therapy with imatinib due to high risk of recurrence. After 2.5 years of treatment, a follow-up CT showed a 15mm nodule in the omentum near the splenic flexure. We considered the possibility of recurrence and imatinib failure, and laparoscopic tumor resection was performed for differential diagnosis. Immunohistochemicalstaining showed negative for c-kit, CD34, desmin, and S100. However, it was diagnosed as desmoid tumor because of positive b-catenin. Intra-abdominal desmoid tumor should be a differential diagnosis for a new single lesion in patients with GIST.

Mines are believed to have suitable cost performance because cheap weapons prevent opponents from freely engaging in activity in mined areas for a comparatively long time. Mine warfare (MW) can be regarded as combat between a minefield planner and mine countermeasure (MCM) forces. The minefield planner equips influence mines with mine counter-countermeasures (MCCMs), which increase the difficulty of their removal. One of the MCCMs is a mine shipcounter, which provides a mine detonation fuse that triggers with some delay after the mine sensor detects vessels. In this paper, we develop a mathematical model of the MCM operation against scattered naval mines with shipcounters and analyze MW as a two-sided warfare game between the minefield planner and the MCM forces. The MCM forces must make a clever choice between mine-hunting or sweeping operations because, depending on the MCM operations, the shipcount has different effects on the removal of mines or on the damage risk to civilian ships transiting in a channel. First, we evaluate the performances of hunting and sweeping considering the mine shipcount; second, we consider a simple game with the minefield planner and the MCM forces as players and analyze rational strategies for these decision makers in MW.

In order to understand the flow structure of a flickering flame, time-resolved observations are carried out of the velocity and density fields in a diffusion flame in co-flow using particle image velocimetry (PIV) and shadowgraph imaging, respectively. The PIV measurement combined with invalid velocity vector analysis using proper orthogonal decomposition (POD) allows for the high spatial resolution measurement of the velocity field in the flame, while the shadowgraph images show the high-temperature contour and soot formation of the flame. These experimental results indicate a periodic variation in the flow field and soot structure of the flickering flame. The observation of the velocity field shows that the periodic inflow and outflow are generated in the outer layer of the flame near the burner, which promotes the flow acceleration in the vertical direction leading to clip-off behavior. It is found that the vorticity contour evaluated from the velocity field matches well with the high-temperature contour observed in the shadowgraph images. Further examination of the flow structure is carried out using the first two POD modes, which demonstrate the presence of counter-rotating vortices in the outer flame contributing to stretching of the flame due to the clip-off motion in the flame.

In the development of lithium-air batteries, to understand how the porous structure of the cathode affects the performance of the battery system is important because the main electrochemical reaction which occurs in this system is the deposition of Li2O2 in the pores of the cathode. To clarify the relationship between the porous structure of the cathode and the performance of the battery system, we used carbon gels with different pore size distributions as model cathodes and investigated how their pores are filled during discharging by analyzing the structure of cathodes discharged to different depths through N-2 adsorption experiments. The dominant deposit formed during discharging was identified to be Li2O2 by X-ray diffraction. Interestingly, the ratio of the volume of the Li2O2 deposited in fully discharged cathodes to the meso-macropore volume of the cathode was in the range of 0.5-0.6 and was fairly constant among the samples. Such ratios are higher than those of microporous carbon cathodes such as activated carbon cathodes. These results suggest that increasing the meso-macro pore volume of the cathode is effective to obtain large capacities in lithium-air batteries.

We have been constructing a swimming ability improvement support system. One of the issues to be addressed is the automatic classification of swimming styles (backstroke, breaststroke, butterfly, and front crawl). The mainstream swimming style classification technique of conventional researches is based on non-ensemble learning; in their classification, breaststroke and butterfly are mixed up with each other. To improve its generalization performance, we need to use better classifiers and more adaptive feature values than previously considered. Therefore, this research has introduced (1) random forest technique, one of ensemble learning techniques, and (2) feature values specific to breaststroke and butterfly to construct a four-swimming-style classifier that has resolved this issue. From subjects with 7 to 20 years history of swimming races, we have obtained their sensor data during swimming and have divided the data into learning data and test data. We have also converted them into feature values that represent their body motions. We have selected from those body-motion-representing feature values the important data to classify four swimming styles and feature values specific to breaststroke and butterfly. We have used the learning data to construct a swimming style classifier, and the test data to evaluate its classification accuracy. The evaluation results show that (1’) the introduction of ensemble learning has improved the mean value of F-measure for breaststroke and butterfly by 0.053, and (2’) the introduction of feature values specific to breaststroke and butterfly has improved the mean value of F-measure for breaststroke and butterfly by 0.121 as compared with (1’). The proposed swimming style classifier has performed a mean F-measure of 0.981 for the four swimming styles as well as good classification accuracies for front crawl and backstroke. Therefore, we have concluded that the swimming style classifier we have constructed has resolved the problem of mixing up breaststroke and butterfly, as well as can properly classify all different swimming styles.

This paper describes a method of rule extraction for generation of appropriate actions by a robot in a multiparty conversation based on the relative probability of human actions in a similar situation. The proposed method was applied to a dataset collected from multiparty interactions between two robots and one human subject who took on the role of supporting one robot. By computing the relative occurrence probabilities of human actions after the execution of the robots’ actions, twenty rules describing human behavior in such a role were identified. To evaluate the rules, the human role was filled by a new bystander robot and other subjects were asked to report their impressions of video clips in which the bystander robot acted or did not act in accordance with the rules. The reported impressions and a quantitative analysis of the rules suggest that the behavior of listening and the supporting role that the subjects play can be reproduced by a bystander robot acting in accordance with the rules identified by the proposed method.

The ringdown part of gravitational waves in the final stage of merger of compact objects tells us the nature of strong gravity which can be used for testing the theories of gravity. The ringdown waveform, however, fades out in a very short time with a few cycles, and hence it is challenging for gravitational wave data analysis to extract the ringdown frequency and its damping time scale. We here propose to build up a suite of mock data of gravitational waves to compare the performance of various approaches developed to detect quasi-normal modes from a black hole. In this paper we present our initial results of comparisons of the following five methods; (1) plain matched filtering with ringdown part (MF-R) method, (2) matched filtering with both merger and ringdown parts (MF-MR) method, (3) Hilbert-Huang transformation (HHT) method, (4) autoregressive modeling (AR) method, and (5) neural network (NN) method. After comparing their performance, we discuss our future projects., Comment: 15 pages, 4 figures

Malignant lymphomas of the duodenum and small intestine are relatively rare, but are clinically important, as they may result in perforation peritonitis. Here, we report a case of perforation peritonitis caused by multiple duodenal and small intestinal malignant lymphomas. An 84-year-old man was diagnosed with malignant lymphoma of the duodenum. Although chemotherapy was planned, emergency surgery was performed to treat perforation peritonitis. Laparoscopic observation revealed that the perforation was not in the duodenum, but in the ileum. In addition, numerous lymphoma lesions were revealed throughout the small intestine. Partial resection of the small intestine including the perforation was performed. Primary gastrointestinal malignant lymphoma may exist over multiple digestive tracts and it is necessary to carefully diagnose and treat, even in emergency surgery.

The patient was 69-year-old man. For the remnant gastric cancer, partial resection of the remnant stomach with combined resection of mesentery of transverse colon was performed. Pathological diagnosis was adenocarcinoma(tub2tub1), M, B- 50-AJ, type 3, pT4b(mesentery of transverse colon), pN0, CY0. A CT scan of 6 months after the surgery showed a tumor on the left side abdomen and diagnosed as peritoneal recurrence. Chemotherapy consisted of 1 course of TS-1(100mg/body) plus cisplatin(70mg/body), 4 courses(2 weeks administration and 1 week break)of TS-1(100mg/body), 8 courses of docetaxel(80mg/body). Tumor shrinkage and internal necrosis were observed. Peritoneal tumor was resected 19 months after the first surgery, and partial resection of the invaded transverse colon and jejunum was performed. Pathological diagnosis was metastasis of remnant gastric cancer. After that, it is 61 months since the first surgery and 42 months from the recurrence surgery without relapse.

To provide a better discussion experience in current argumentative dialogue systems, it is necessary for the user to feel motivated to participate, even if the system already responds appropriately. In this paper, we propose a method that can smoothly introduce argumentative dialogue by inserting an initial discourse, consisting of question-answer pairs concerning personality. The system can induce interest of the users prior to agreement or disagreement during the main discourse. By disclosing their interests, the users will feel familiarity and motivation to further engage in the argumentative dialogue and understand the system’s intent. To verify the effectiveness of a question-answer dialogue inserted before the argument, a subjective experiment was conducted using a text chat interface. The results suggest that inserting the question-answer dialogue enhances familiarity and naturalness. Notably, the results suggest that women more than men regard the dialogue as more natural and the argument as deepened, following an exchange concerning personality.

As the Internet and video equipment develop, service using VR technology will become popular. Telepresence use those technologies. This is expected to be applied in various fields, e.g. tourism. Multiple users can use the telepresence system at the same time by using the full sphere(Omnidirectional) camera. However, stereoscopic vision is impaired, because the camera is fixed at the time of recording and cannot respond to the position movement of the user's point of view. This paper aims to preserve stereoscopic vision in the fullsphere telepresence system by estimating the image of the position of the viewpoint of the user from the existing fullsphere image by the neural network. Images of the current line of sight direction is taken out from fullsphere cameras arranged in concentric circles and the image of the midpoint is estimated from the images of the two viewpoints by using the neural network. By using the image obtained at the midpoint, this processing is performed recursively to retrieve the image of the viewpoint of the user. In this paper, we experimentally verified whether the midpoint viewpoint can be estimated by neural network.

Inactivation of phage by pulsed electric field (PEF) treatment using Escherichia coli phages (M13mp18 and λ phage) as the phage particle model was studied. E . coli phages were successfully inactivated, and the absence of degradation of biological molecules was confirmed by electrophoretic analysis of these molecules from the inactivated phages. The comparison of sensitivity to PEF treatment between the E . coli phage and the E . coli cells was also carried out. The E . coli phages were more sensitive to the PEF treatment than the E . coli cells, and this difference allowed the preferential inactivation of E . coli phages.

To improve the performance of carbon paper used for applications such as electrodes for electrochemical devices and air filters, two types of long carbon nanofibers (CNFs) with average diameters of 20 and 49 nm were prepared by the liquid pulse injection (LPI) technique by adjusting reaction conditions. Carbon paper was made from the CNFs through a simple filtration process. The paper prepared from the CNFs with an average diameter of 20 nm (LPI-CNF(20) paper) was firm and flexible even though it was prepared without using any binders. LPI-CNF(20) paper also had a high surface area and showed a high electrical conductivity and a moderate gas permeability according to its void size. These properties are required for cathodes in the latest battery systems such as lithium–air batteries. In electrochemical experiments conducted to evaluate the performance of LPI-CNF(20) paper as a cathode, the paper showed a larger discharge capacity on the basis of the cathode weight than a conventional cathode (a commercially available carbon paper combined with a porous carbon), which indicated that it has a high potential to be used as a cathode in lithium–air batteries.

It is known that a quasinormal mode (QNM) of a remnant black hole dominates a ringdown gravitational wave (GW) in a binary black hole (BBH) merger. To study properties of the QNMs, it is important to determine the time when the QNMs appear in a GW signal as well as to calculate its frequency and amplitude. In this paper, we propose a new method of estimating the starting time of the QNM and calculating the QNM frequency and amplitude of BBH GWs. We apply it to simulated merger waveforms by numerical relativity and the observed data of GW150914. The results show that the obtained QNM frequencies and time evolutions of amplitudes are consistent with the theoretical values within 1% accuracy for pure waveforms free from detector noise. In addition, it is revealed that there is a correlation between the starting time of the QNM and the spin of the remnant black hole. In the analysis of GW150914, we show that the parameters of the remnant black hole estimated through our method are consistent with those given by LIGO and a reasonable starting time of the QNM is determined., 12 pages, 12 figures

The patient was a 65-year-old man. He had not defecated for a week in early December 2015, and had noticed abdominal pain and abdominaldistension from 4 days prior. The pain and distension worsened, and the patient was rush transported to our hospital. Via abdominal CT we found free air in the upper abdomen, expansion of the small and large intestines, and notably, significant intestinal tract expansion and a gas reservoir in the ascending colon. We found significant narrowing as well as hypertrophy along the entire circumference of the rectum and suspected gastrointestinal perforation due to rectal cancer ileus. Inflammation findings were abnormally high and we performed emergency surgery. We found a laceration on the ascending colon, which had expanded markedly. We elevated that location and installed a colostomy. Following surgery the patient developed mild SSI and ileus, which were alleviated through conservative treatment. A month after the operation we performed a colonoscopy and found a tumor along the entire circumference of the rectum Rs. It was diagnosed as group V tub1-2 via biopsy. We performed surgery in late January 2016(colostomy closure, laparotomy rectal low anterior resection). We are reporting a rare case where rectal cancer ileus caused perforation in the ascending colon.