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【背景】インターロイキン(IL)-33は, 宿主防御, 神経損傷, 炎症などに重要なIL-33/ST2シグナル経路を誘導する. 一方, IL-33のデコイ受容体である可溶性ST2(sST2)は, IL-33/ST2シグナル経路を抑制する. sST2は種々の神経疾患患者の血清中で増加するが, 低酸素性虚血性脳症(Hypoxic-ischemic encephalopathy; HIE)では知られていない. 【目的】本研究の目的は, HIEにおける血清中のIL-33, 及びsST2濃度を測定し, HIE重症度と神経学的予後との関連性を検討することである. 【対象と方法】2017年1月から2022年4月の期間に, 山口大学医学部附属病院総合周産期母子医療センターに入院した, 在胎期間36週以上, かつ出生体重1,800g以上の新生児を対象とし, HIE群23名, 対照群16名を本研究に登録した. HIEの重症度はSarnat分類により軽症, 中等症, 重症に分類し, 生後6時間以内, 及び1-2, 3, 7日目の血清IL-33及びsST2濃度を測定した. プロトン磁気共鳴スペクトロスコピーによりHIE群の基底核におけるlactate/N-acetylaspartate(Lac/NAA)比を算出し, 退院後の神経学的後遺症の有無を追跡調査した. 【結果】血清中IL-33濃度は各群で差を認めなかった. 一方, 中等症及び重症HIE群の血清sST2濃度は, 対照群に比し著明に高値で, HIE重症度と相関して高値であった. 血清中sST2濃度はLac/NAA比と有意な正の相関を示し(相関係数=0.527, P=0.024), 神経学的後遺症を来したHIE児では予後良好の児に比し, sST2濃度及びLac/NAA比が有意に高かった(それぞれP=0.020, <0.001).【結論】血清sST2濃度はHIEの重症度および神経学的予後予測に有用である可能性が示唆された.

Steel truss bridges, which are one of the bridge structures applicable to long spans, are widely used as marine bridges connecting mainland and remote island. Since such steel truss bridges are built on the sea, they are exposed to severe corrosive environment due to the influence of airborne salt. In addition, there are many parts where it is not easy to inspect to detect abnormalities, so it is more difficult to eliminate the risk of member damage in such steel truss bridges than in general bridges. On the other hand, once the marine bridges are built, they become an indispensable facility for the life of the island. Therefore, if there are no other traffic routes to access an island, the sustainability of the marine bridge is an important issue that is directly linked to the sustainability of the remote island life. When member damage occurs in a steel truss bridge, it depends on redundancy, which means the margin for the load-bearing capacity and load-bearing function, whether the damage develops into chain damage or remains limited damage. Bridges with redundancy could be restored by repairing even if the member damages occurred, because they did not develop into chain damages. In some cases, vehicles could pass through with traffic restrictions. Although redundancy is an important performance for maintaining life on remote islands that have no alternative traffic routes, there are few studies on evaluation and improvement methods of redundancy for long steel truss bridges used for marine bridges. The purpose of this study is to propose a method for improving the redundancy of long steel truss bridges, and three research subjects are set to achieve this purpose. The first study subject is the investigation of the effect of truss joint modeling on redundancy evaluation, and is the subject to appropriately evaluate the redundancy of steel truss bridges. The second is also the subject related to the redundancy evaluation of steel truss bridges, and is the development of dynamic response calculation method that considers the vibration characteristics of steel truss bridges, which are vibration systems with multiple degrees of freedom. The third study subject is a proposal for methods to improve the redundancy of long steel truss bridges. This paper consists of five chapters. Chapter 1 is an introduction, and describes the background of the research, the setting of the purpose and research subjects, and the previous studies. Chapter 2 describes the study on the modeling of the truss joint. In the analysis of healthy steel truss bridges with no member damage, the sectional forces can be calculated appropriately even with analysis modeling in which frame elements of truss members are rigidly connected at the truss joints, simply. On the other hand, in the redundancy analysis of steel truss bridges with member damages, it is shown that it is necessary to consider the shape of the gusset plates at the truss joints in analysis modeling. Chapter 3 describes the study on the calculation method of dynamic response caused by damage of truss members. There are cases where the dynamic response due to member damage is calculated in the same way as a single-degree-of-freedom vibration system. However, this study develops a dynamic response calculation method considering the vibration characteristics of long steel truss bridges by using the eigenvector of steel truss bridges with member damage. A method is proposed to set the magnitude of the eigenvector using balance equation of the work given to the steel truss bridge by the sectional force unloaded from damaged member and the strain energy stored in the steel truss bridge. In addition, a method is proposed to calculate the dynamic response by setting the range of vibration modes using the sum of effective mass ratio, and selecting the eigenvector that has the greatest effect on the dynamic response for each member. It is shown that the proposed calculation method gives redundancy evaluation closer to time-history-response analysis than the method that calculates the dynamic response in the same way as a single-degree-offreedom vibration system. Chapter 4 describes the study on redundancy improvement for a long steel truss bridge. A combination of the countermeasure against members that trigger chain damage and the countermeasure against members with insufficient load-bearing capacity is planned. Analysis clarifies that the X bracing, which is a reinforcing structure in X shape, is an efficient reinforcement that works against multiple member damage cases as the countermeasure against the trigger member of member chain damage. Also, the load-bearing capacity is verified by a loading test of specimens with reinforced structures. Since the subject bridge has 18 truss panels where X bracing can be installed, the placement patterns were examined by the optimization method. It is clarified that the weight of reinforcing material can be reduced by installing X-braces only at four truss panels in the alternating areas, rather than installing at all 18 truss panels. Chapter 5 describes the summary of this study and future developments.

Many mail filtering methods have been proposed, but they have not yet achieved perfect filtering. One of the reasons for this is the influence of modified words created by spammers to slip through the mail filtering, in which words are modified by insert symbols, spaces, HTML tags, etc. For example,“ price$ for be$t drug$! ”，“ priceC I A L I S ”， “ <font>se</font>xu<font>al</font> ”, etc. These are frequently replaced with new strings by changing the combination of symbols ,HTML tags etc. Mail filtering is a technique that captures trends in words in training mails (mails received in the past) and applies these trends to words in test mails (newly received emails). Some of the above modified words appear in both training and test mails, i.e., words that could be used as features of spam mail by using them unprocessed, while others appear only in test mails, i.e., words that have not been learned and require special processing (e.g., removal of symbols, search for similar words, etc.) for their use. However, existing methods do not make these distinctions and treat them in the same way. Therefore, in order to bring the filtering performance of the existing methods closer to perfect filtering, we developed a method in which the above modified words are separated into words that appear in both training and test mails and words that appear only in test mails, and each of these words is used for mail filtering. In this study, we treat the above modified words as ”strange words”. Typical examples of such strange words include, in addition to the above, new words included in ham mails, proper nouns used in close relationships, and abbreviations. The results of this study are as follows (1) In order to compare the filtering performance between strange words and other words, filtering experiments were conducted using existing methods with strange words, nouns, verbs, and adjectives. The results showed that the filtering performance of the strange words was the best. This means that strange words have a significant impact on the filtering performance, and we expect to improve the filtering performance of existing methods by developing a new method to utilize strange words. (2) In order to examine the breakdown of strange words, we counted the number of words that appeared in both training and test mails, and the number of words that appeared only in test mails. The results were compared with those obtained for nouns, verbs and adjectives. We found that there are a significant number of strange words that appear in both training and test mails, but only in one of the groups, i.e., ham or spam mail. Words with this appearance pattern are most useful for mail filtering. On the other hand, we found that there are many strange words that appear only in test mails, i.e., words that cannot be learned. We expect to improve the filtering performance by separating these strange words and developing a new method to use each of them. (3) For the use of strange words, we developed (A) a method for using words that appear in both training and test mails, and (B) a method for using words that appear only in test mails, respectively. (A) To examine the breakdown of strange words that appear in both training and test mails, we divided them into two categories: words that appear only in ham and spam mails, i.e., words with patterns that improve filtering performance, and words that do not, and examined their frequency of occurrence. The results showed that the words with appearance patterns that improve filtering performance tend to appear more frequently than those without such patterns. This means that by using words with a certain number of occurrences in filtering, it is possible to use more words that improve filtering performance. We developed a method to do this and conducted experiments with different threshold values to find the optimal value, and confirmed that setting the threshold around 7 improves filtering performance. (B) We compared the number of strange words that appear only in the test mails between ham and spam mails, and found that the number tends to be higher in spam mail than in ham mail. In order to utilize this difference for filtering, we proposed a method to set a uniform spam probability for strange words that appear only in the test mails, and attempted to find the optimal spam probability. As a result, setting the spam probability to 0.7 improved the filtering accuracy from 98.2% to 98.9%. By using (A) and (B) above together, both words that appear in both training and test mails and words that appear only in test mails can be used for mail filtering to increase accuracy. Mail filtering has been improved and its performance has reached its limit. In order to further improve accuracy, i.e., to approach perfect filtering, a new perspective is needed, and this paper provides one such perspective: the use of strange words. This paper is organized as follows. In Chapter 1, we review the background of mail filtering methods, discuss how spammers use strange words to slip through such filters. The purpose and structure of this paper are then presented. In Chapter 2, we will discuss related research on examples of filtering methods that have been proposed so far are given. In Chapter 3, we describe the mail datasets, word handling, and strange words used in the this paper. This is followed by an explanation of the ROC curve, which is the measure used to evaluate the filtering performance, and explanation of scatter plots and box-and-whisker plots. In Chapter 4, we compare the filtering performance between strange words and other words, and show that strange words have a significant impact on the filtering performance. Furthermore, based on the results of a breakdown of the number of strange words, we discuss the possibility of improving filtering performance by separating words that appear in both training and test mails from those that appear only in the test mails. We will work on this in the next chapters and report the results. In Chapter 5, we develop a method to use (A) above, i.e., strange words that appear in both training and test mails. From the results of counting the number of words used in the subject and body of each email, we show that the number tends to be smaller for words that degrade the filtering performance. Based on these results, we propose a method that sets a threshold for the number of words used in the subject and body of mails, and uses only those words that exceed the threshold for classification. Experiments are conducted to find the optimal value by varying the threshold, and the effect of this method on performance is reported. In Chapter 6, we develop a method to use (B) above, i.e., strange words that appear only in the test mails. We compare the number of types of these words in ham and spam mails, and show that the number tends to be larger in spam mails, and that this feature can be used as a bias for detecting spam mails. In this paper, we deal with experiments using bsfilter and develop a method to set spam probabilities uniformly for strange words that appear only in the test mails. After searching for the optimal spam probability, we report that a spam probability of 0.7 greatly improves the filtering performance. In Chapter 7, we describes the processing flow combining the methods developed in Chapter 5 and Chapter 6. The paper is then summarized, including future prospects.

抗がん剤の副作用である口腔粘膜炎の改善にはエレンタール^(R)は有効であることが報告されている。5-フルオロウラシル (5-FU) の副作用には口腔粘膜炎がある。そこでエレンタール^(R)の中で口腔粘膜炎の改善に最も有用な成分の特定を試みた。マウス（対照群を除く）に5-FUを4日間腹腔内注射し、生理食塩水（対照群、5-FU群）、デキストリン（デキストリン群）、アミノ酸（17AA群）、エレンタール^(R)（エレンタール^(R)群）のいずれかを7日間投与した。

本研究の目的は、健常人において、血漿中の尿酸値（UA）と分枝鎖アミノ酸および芳香族アミノ酸（BCAAおよびAAA）の濃度の関連を明らかにすることである。 合計2,804人の健常人について、血漿UAレベルに応じて3つのグループに分類した。その3グループ間における、BCAAとAAAの濃度の関連を、分散分析（ANOVA）と共分散分析（ANCOVA）により解析した。 この研究で対象としたすべてのBCAAとAAAの濃度は、トリプトファンを除き、全てがUA濃度の各レベルに応じて、漸進的に有意に増加した（P<0.001）。また、全体として、個々のBCAAおよびAAAについて、最低のカテゴリーの差にくらべ、高いカテゴリーの差の方が、より大きかった。本研究は、血漿中のBCAAおよびAAAと、UAのレベルについて、潜在的に、密接な関係が存在していることを示唆した。今後、それらの間の因果関係および相互作用を解明する研究が必要である。

Generalized pustular psoriasis (GPP) is a rare form of psoriasis, which is characterized by sudden onset of repeated erythema and pustule formation with generalized inflammation. Recent advances in molecular genetics have led to the identification of several genes associated with GPP, including IL36RN, CARD14, AP1S3, SERPINA3, and MPO. Of these, only limited cases of GPP have been reported to carry mutations in the AP1S3, SERPINA3, or MPO to date. In the present study, we investigated a Japanese patient with GPP and found a bi-allelic missense mutation c.1769G>T (p.Arg590Leu) in the MPO gene. Structural analysis predicted that the mutant MPO protein would abolish its ability to bind with heme protein. In vitro studies using cultured cells revealed that the mutant MPO was stably expressed, but completely lost its myeloperoxidase activity. Immunohistochemistry (IHC) using an anti-MPO antibody showed markedly-reduced expression of MPO protein in the patient’s skin, suggesting that the mutation would lead to an instability of the MPO protein in vivo. Finally, IHC with an anti-citrullinated Histone H3 antibody demonstrated a sparse formation of neutrophil extracellular traps within a Kogoj's spongiform pustule of the patient’s skin. Collectively, we conclude that the c.1769G>T (p.Arg590Leu) in the MPO is a complete loss-of-function mutation associated with GPP in the patient. Our data further underscore critical roles of the MPO gene in the pathogenesis of GPP.

Objective: Anastomotic leakage is a common and severe complication of esophageal reconstruction. Accordingly, there is a clinical need for novel methods to prevent it. We developed multilayered, growth factor-secreting fibroblast sheets that promote wound healing and angiogenesis. The present study aimed to assess the utility of allogenic multilayered fibroblast sheets in preventing esophageal anastomotic leakage in a rat model of esophageal reconstruction. Methods: Allogenic multilayered fibroblast sheets prepared from oral mucosal tissues were implanted at esophageal anastomotic sites. Results: The allogenic multilayered fibroblast sheet group had significantly higher burst pressure and collagen deposition compared to a control group five days postoperatively. The expression levels of collagen type I and III mRNAs around esophageal suture sites were higher in the allogenic multilayered fibroblast sheet group compared to the control group on postoperative days 0, 3, and 5. There was a trend toward lower anastomotic leakage and lower abscess scores in the allogenic multilayered fibroblast sheet group compared to the control group; however, these differences did not reach statistical significance. Allogenic multilayered fibroblast sheets completely disappeared at ten days after implantation. Further, no inflammation was observed at suture sites with implanted allogenic multilayered fibroblast sheets at five days after surgery. Conclusion: Allogenic multilayered fibroblast sheets may represent a promising method of preventing esophageal anastomotic leakage.

Fiber-reinforced polymer (FRP) rods fabricated from unidirectional fibers and a polymer matrix strengthen effectively reinforced concrete (RC) members. The pultrusion is a production method of FRP rod. The FRP rods show various advantages, such as light and no-corrosion. Most FRP rods have higher tensile strength than standard steel bars. Therefore, the FRP rods can be used as an alternative reinforcement of steel bars in RC structures. In addition, FRP rods can be applied in near-surface mounted (NSM) systems for strengthening existing concrete structures. The tensile properties of FRP rods in adhesively bonded anchorages are expected to be studied in detail. Numerous experimental studies were conducted on FRP rods made of glass, carbon, aramid, or basalt fibers. The previous studies have reported that the tensile properties of FRP rods are affected by the shear-lag effect. However, these studies referred to the tensile failure, the shear-lag effect of FRP rods as a phenomenon without a mechanical explanation. Moreover, the effects of mechanical properties of fibers, matrix, fiber-matrix interface on FRP rod properties have not been investigated in detail. To quantify factors affecting the tensile properties of FRP rods, this study performed a numerical investigation on aramid FRP rods to assess the shear-lag effect, tensile load-capacity, and tensile strength. In addition, the effects of fiber, matrix, and fiber-matrix interface on the behavior of FRP material in three dimensions were demonstrated by micro-models. Firstly, two representative volume element (RVE) models of fibers and matrix were proposed to predict engineering constants and strengths of the FRP material in three dimensions. Based on the predicted strength, the criteria were designed. Then, the main simulation, including the FRP rod, the filling material, and the steel tube, was carried out to analyze FRP rods under the variation of interfacial conditions between materials, including full-bonding strength and partiallybonding strength models. In the partially-bonding strength model, the interfaces between materials were simulated as cohesive zone models with the variation of bond strengths and fracture energy release rate. A technique called submodeling was applied to enhance the simulation results. The submodel was cut from the main simulation model and only applied to simulate FRP rods with finer meshes. The study proposed a procedure for calculating the stress distribution in any cross-section of an FRP rod. The simulation results agreed well with the previous experimental study. The findings clearly indicated the position of the failure section in which the tensile stress distribution is unequal. The load-capacity, failure modes, shear-lag effect were predicted based on the maximum stress criterion. The results revealed that the FRP material strengths enforce the failure in two modes associated with the transverse and longitudinal directions of FRP rods. In addition, diameter is a significant factor that increases the shear-lag effect and reduces the tensile strength of the FRP rods. The numerical simulation provided a new method to predict the load-capacity of FRP rods. The study consists of 6 chapters. Outline of the chapter was presented as follows: Chapter 1 introduces about kinds of FRP rods and their application in civil engineering. The chapter shows the research objects, the gaps in composite studies, and the scopes of the present research. Chapter 2 summrizes the review of previous studies related to the theoretical studies of the composite materials. The chapter reveales the gap of theory. In addition, the study compares the advantages and disadvantages of previous studies and proposes methods and models for the present study. Chapter 3 presents the simulations of the representative volume element (RVE) models to determine the mechanical properties and strengths of composite materials. The study investigates the effects of the fiber properties and fiber-matrix interface on composite mechanical properties in detail. The RVE-1 model was employed to predict engineering constants of the FRP material. The RVE-2 was applied to predict the tensile and shear strengths in three dimensions. Chapter 4 shows the numerical simulations of the FRP rod tensile tests with various cases of the materials in Chapter 3. The models are built in two cases of the interface between the FRP rod and filling material: full-bonding and partially-bonding strengths. In the case of the full-bonding strength, three models are built with three hypotheses of FRP rod material. Three models, A, B, and C, were proposed to demonstrate the effect of fiber properties on FRP properties. Model A was built based on the hypothesis that the FRP rod is made of transversely isotropic fibers. Model B was made to simulate with an FRP rod of isotropic fibers. Model C assumes the FRP rod as an isotropic material. In the case of the partially-bonding strength, the study models various interface cases between the FRP rod and the filling materials to investigate the bonding effects. The proposed models were applied to simulate FRP rods from D3 to D8 to analyze the diameter effect. In Chapter 5, the difference between the proposed models was discussed to show the advantages and disadvantages of each model. Firstly, the study compared models (A, B, and C) to highlight the effect of fiber properties on FRP rods. Secondly, the study compared the partially-bonding strength and full-bonding strength models to investigate the bonding effects on the tensile properties of FRP rods. Moreover, the chapter illustrates the existence of the shear-lag effect and demonstrates the diameter effect on tensile strength in FRP rods. Chapter 6 summarizes the novel findings and research significance of the study. In addition, recommendations for future works were also presented.

近年、遺伝子改変T細胞を用いた養子免疫療法の臨床応用が進められているが、未だ治療成績は満足のいくものではなく、更なる治療の進歩が求められている。我々はこれまで、自律性にIL7とCCL19を発現するCAR-T細胞（7×19 CAT-R細胞）が優れた抗腫瘍活性を発揮することを示した。本研究ではIL7及びCCL19がTCR-T細胞の抗腫瘍活性を増強させる可能性を検証するため、腫瘍抗原であるP1Aを特異的に認識するTCR-T細胞（P1A-T細胞）にIL7及びCCL19を分泌させる遺伝子改変を加えた7×19 P1A-T細胞を作製した。P1Aを有する細胞株であるP815を皮下接種したマウスに対する養子免疫療法において、7×19 P1A細胞はIL7及びCCL19を分泌しないP1A-T細胞（Conv. P1A-T細胞）と比較し優れた抗腫瘍効果を示した。腫瘍拒絶マウスにおいては、Conv. P1A-T細胞を使用したマウスと比較し優れた免疫記憶が形成されていた。また抗PD-1抗体を用いた複合免疫療法を行うことで、7×19 P1A-T細胞の有する抗腫瘍効果は更に増強された。CRISPR/ Cas9システムを用いPdcd1をknockdownした7×19 P1A-T細胞は対照7×19 P1A-T細胞と比較し強い抗腫瘍効果を示したが、抗PD-1抗体を併用することで更なる抗腫瘍効果の増強を認めたことから、7×19 P1A-T細胞の発揮する抗腫瘍効果には7×19 P1A-T細胞そのものばかりでなくマウス内在性のT細胞が関与していることが分かった。また、7×19 P1A-T細胞においても抗PD-1抗体との併用により抗腫瘍効果が増強することを確認した。本研究における検証により、7×19 TCR-T細胞及び7×19 CAR-T細胞を用いた免疫療法が抗悪性腫瘍療法の発展に寄与できる可能性が示された。

小胞体ストレスの増加は、動脈硬化において血管平滑筋培養細胞（VSMCs）の形質転換（分化→脱分化）と強く関連している。小胞体のCa2+貯蔵量減少は、VSMCs における小胞体ストレスの増加の主要な原因の一つである。リアノジン受容体（RyR）は筋小胞体膜上に存在する主要なCa2+放出チャネルである。正常細胞の安静状態ではカルモジュリン（CaM）はRyR と結合し、RyR を閉鎖した状態で安定化させている。CaM とRyR の結合が減弱すると、RyR から異常なCa2+漏出が起こり、Ca2+貯蔵量が減少し、小胞体ストレスが増加する原因となり得る。そこで我々は、マウスのVSMCs を用いてRyR に結合しているCa（CaM-RyR）が小胞体ストレスにより引き起こされるVSMCs の形質転換に重要な役割を果たしているか否か、また、CaM-RyR の結合親和性を高める作用を有するダントロレン（DAN）がVSMCs の形質転換に影響を与えるか否かを評価した。 小胞体ストレスによりCaM がRyR から解離し、核内へ移行することにより、MEF2 とKLF5 の核内での発現量が増加し、このMEF2-KLF5 のシグナル伝達経路が活性化することでVSMCs が形質転換(分化→脱分化)し、増殖能や遊走能を有するようになり動脈硬化巣の形成や不安定化につながるという新たな知見を得ることができた。さらにCaM-RyR の結合親和性を高めるDAN は、RyR チャネルを安定化させ、異常なCa2+漏出を抑制し、小胞体内のCa2+貯蔵量を保持することで小胞体ストレスの増加を抑制し、さらにCaM の核内への移行を制御することで、MEF2-KLF5 経路の活性化を抑制し、その結果としてVSMCs の形質転換を抑制することが示され、動脈硬化巣の進展化、不安定化に対する全く新しい治療戦略となり得る可能性があることが示唆された。

Innovation is the practical implementation of ideas that result in the introduction of new goods or services or the improvement in them (Schumpter, 1983). Innovation is closely related to invention as innovation is more on involving the practical implementation of a new or improved invention to make a meaningful impact in a market or society (Schumpter, 1939). On the other hand, innovative design is a process of identifying, pinpointing, and understanding the needs of the user or audience (Shaulis, 2021). Previously, Dixon (1966) defined innovative design as any design that is: new or different, or elegant or uses new ideas, or is an improvement over its peers. Once the market need has been identified, a solution can then be designed. In our proposed innovative design method, we introduced and investigated a method that is able to be applied in designing an intergrated system that could be a valuable solution to the society. This method starts with directly observe activities of things and real people in real trouble in the real field. Then, we think about the value of "I wish there were such things as…", visualize the story, draw a clear sketch to accomplish the story concretely. Next, we solidify the functions and specifications while investigating needs and competition. Then, we create a prototype that able to show and test your ideas, demonstrate to the people who need it, let them experience it, and gain feedback. Lastly, we evaluate the value of product design and development and plan methods for implementing it as an organization, and plan ways to improve and expand globally. All of the steps in this method are important for innovative design, however, in this research this time we focused on co-designing value, big idea, and considering as integrated steps for identifying latent needs of the consumers. It is because identifying needs is an important part in the product development process. Latent needs are those that many consumers recognize as important in a final product but unable to articulate in advance (Ulrich, 2015). The latent needs addressed in this study was focusing on identifying consumer requirements in product development in the innovative design method. The challenge in identifying latent needs is finding the method to elicit from consumers the needs which are not addressed by any inventors yet in the present market but would delight the consumers if delivered tomorrow. The purpose of this study is to propose and verify the method in the elicitation of latent needs from consumer needs by introducing a working prototype to the consumers, interviewing, and analyzing responses from the consumers. This research was conducted during the year the start of the COVID-19 pandemic. As the pandemic spread, most countries were forced to go into lockdown or declare an emergency state. The school was closed and business organizations needed to switch to working from home to prevent the spread. The parents were unable to work from home efficiently as they were worried their children will involve in dangerous incidents if the children were left by themselves. Based on this situation, this study was conducted in finding the latent needs of the parents, childcare workers, and children in order to assist them in going through their problems during this COVID-19 pandemic. The working prototype was used as material to prepare presentation slides for the consumers' interviews. The first presentation slides were focused on the background problems and ideas for the solutions while the second presentation slides provided consumers with a prototype and story of the product that was believed would be one of the solutions to the problems. Interviews were conducted after both slide presentations. Consumers' responses were obtained and interpreted into consumers' needs in terms of product functions. In the first study, consumers' interpreted needs from Problem-based interviews and Prototype and Story-based interviews were compared. Based on the results, latent needs interpreted from interviewees' responses and the categories of the needs obtained from the Prototype-based interviews are more than from the Problem-based interview. The latent needs that we were able to obtain from this research were for example, “The device is able to detect small changes in a child while watching he/she sleeping” which could lead into the prevention of unwanted incident such as sudden infant death syndrome (SIDS). This supports our assumption that showing working prototype-based materials with story descriptions can be effective in uncovering potential latent needs. In the second study, it is assumed that experience, empathy, and knowledge of working prototype is essential elements in product development, therefore, new additional guidelines which are “to write a statement with empathy”, “to write a statement as a designer”, and “to write a statement as someone with experience” were proposed during consumers' needs interpretation to see whether these new guidelines will influence the process of identifying latent needs of consumers. From the result, it is concluded that the number of interpreted needs increased when we applied the new proposed guideline. Although the number is small, the needs might not be interpreted if the new guidelines were not considered. We were also able to obtain a few important latent needs when we applied these new guidelines. A latent need collected from applying the guideline "to write a statement as someone with experience" is “The device is not for teaching love and humanity but for monitoring by watching facial expression, posture, and vital signals such as temperature and heart rate”. We could conclude that including these guidelines upon interpreting raw data from the consumers’ interviews might lead into discovering important and critical latent needs of the consumers. In the third study, a quantitative evaluation method for identifying latent needs was introduced. The consumers' interpreted needs were rated according to a basis of rating from the three perspectives of importance, latent-ness, and technological feasibility. The Degree of Latent Needs (DLN) was calculated by multiplying these three metrics. Based on the result for the average and variance of DLN mean value for each evaluator which is sufficiently small, it indicates that the basis of rating for three metrics of the DLN is effective. The results also indicate that the 20 highest DLN points of the interpreted needs contain attractive features in terms of design. However, we had gotten some pushback on the average of each interpreted need and its variance which indicates opposing opinions among evaluators. As it is possible that attractive needs are hidden and may lead to the discovery of latent needs through individual pinpoint interviews, the interviews with the minority evaluators were conducted. The interview results indicate that the latent needs with low DLN rates but valuable might be able to be discovered by conducting follow-up interviews such as “The device is able to recognize items (food or not) that a child wants to put in the mouth”. From the results in all three studies, we could conclude that a number of important latent needs are able to be elicited from consumers’ needs by applying the proposed method. In our fourth study, a decision-making method based on the patent analysis between the conceptual design stage and the prototyping stage in the innovative design method was introduced. Conducting a patent strategy was assumed to support how to select the right concept precisely. In this study, by conducting a patent search in this stage by the designer who understood best the product functions and working principles, a supporting method was introduced to assist the designer in their decision-making process. Based on the result, the method was able to observe whether there are dominating companies or not for our concept design. If there is a dominating company, the possibility of not being able to produce our concept becomes bigger. This method may be applied as an indicator to support decisionmaking in the concept design stage in the innovative design method, whether to proceed with the concept design or not and to reduce the possibility of product failure in the future. From the results of all the studies, we could conclude that these above methods may be applied as assistive tools to support designers’ understanding of consumers’ requirements and selecting the right concept design.

Sleep is an essential physiological process for the human body. People spend about one-third of their lives sleeping. Both sleep duration and sleep quality are important to human health. Sleep quality describes how restful and restorative the sleep process is. Over 80 sleep disorders are known to affect sleep quality. Among them, sleep-related breathing disorder (SRBD) is the second factor. Sleep-related breathing disorders are sleep disorders in which breathing abnormalities occur during sleep. Abnormal snoring and respiratory arrest or abnormally low breathing during sleep reduce oxygen levels in the blood, increasing the risk of depression, cardiovascular disease, stroke and even death. Therefore, monitoring and analysis of respiration during sleep is gaining increasing importance in healthcare. Polysomnography (PSG) is considered the gold standard for diagnosing sleep disorders, but PSG is usually performed in an unfamiliar sleep laboratory under the supervision of a medical technician and is often worn with many sensors that interfere with sleep. It is often the case. This research group is developing a breathing sound measurement system that constantly monitors the quality of sleep in general home environment. This system can easily measure breath sounds during sleep all night with high accuracy without disturbing sleep. The purpose of this research is to develop a technique to classify patterns of breathing sounds and to analyze the quality of breathing in order to more accurately analyze the state of sleep from breath sound information. There are various patterns of sleep breath sounds, such as normal breath sounds and snoring, and abnormal breath sounds and snoring. To develop a method to classify these patterns, to develop an algorithm to calculate ventilation from breath sounds, to estimate the sleep apnea index (AHI), and to assess the quality of breathing during sleep. try. Specifically, the temporal feature waveform (TCW) is calculated after partly removing the noise of the breathing sounds of sleep with a band-pass filter. Based on the time feature waveform, a respiratory signal effective for analysis is extracted from low-level signals and phase-divided into a respiratory phase and an apnea or low signal. Mel-frequency cepstrum coefficients (MFCC) are then obtained for the respiratory phases, and an agglomerative hierarchical clustering (AHC) algorithm is applied to distinguish between normal/abnormal breathing, normal/abnormal snoring, and normal/abnormal breathing. , tossing and turning, etc., which are less relevant to breathing. The categorized breathing patterns are analyzed every 30 seconds and the relative tidal volume of the breath is calculated. In addition to verifying the effectiveness and accuracy of the technology and analysis method proposed in this study, a method of estimating the apnea syndrome index (AHI) and converting the ventilation volume into high, medium, and low levels, We propose a method to evaluate the quality of breathing in a patient and verify its effectiveness. This paper consists of six chapters, including an introduction and conclusion. Chapter 1 introduces the background and overview of this research. Chapter 2 describes a signal-processing technique for analyzing breath sounds during sleep and a method for classifying breathing patterns. Breathing sound data during sleep often includes disturbed breathing due to bruxism or body movement, ambient environmental noise, etc. In this chapter, the Time Characteristic Waveform (TCW) and the Characteristic Moment Waveform (CMW) are calculated for respiratory sound signals that have undergone preprocessing, such as filtering noise to preprocess the respiratory sounds, and the segmentation of inspiration and expiration is performed. The Mel-Frequency Cepstrum Coefficients (MFCC) are obtained for each respiratory cycle and applied as a feature vector to the Agglomerative Hierarchical Clustering (AHC) algorithm. This method is used to classify ordinary respiratory signals (normal and abnormal breathing, normal and abnormal snoring) from signals less relevant to respiration, such as tossing and turning and environmental noise. In Chapter 3, using the technology described in Chapter 2, breathing sound data during sleep are classified into apnea, hypopnea, normal breathing, abnormal breathing, normal snoring, and abnormal breathing for each 30-second frame. In addition, we describe a method for classifying events such as no snoring and rolling over and determining the respiratory state. In Chapter 4, we propose a method for estimating the apnea-hypopnea Apnea-Hypopnea Index (AHI) for classified abnormal breath sounds and low-level breath sound signals, compare it with the diagnostic results of PSG, and examine its validity. And verify usefulness. Chapter 5 describes a method for estimating ventilation volume from breath sounds. Because normal breath sounds are correlated with ventilation, this study used a quantitative approach to calculate normal breathing and normal snoring and a qualitative method to calculate apnea/hypopnea and abnormal breath sounds. We will propose and compare it with the diagnosis result of PSG and verify its validity. In Chapter 6, as an application development, an example of applying the breathing sound classification method proposed in this study to heart sound analysis is presented. Finally, we will explain the construction of a data collection distribution system for sharing auscultation data collected at different facilities and hospitals using blockchain technology. Chapter 7 presents the conclusions and prospects of this study.