因應資訊化作業，大型企業組織透過企業資源規劃系統來整合組織內部與外部的資訊，以促進各種不同的商業功能間資訊的流動與交換。企業資源規劃系統中的主要模組包括商業流程管理。傳統商業流程管理著重在商業處理的自動化。先進的商業流程管理整合了流程邏輯與商業邏輯的功能，以有助於商業策略的規劃。商業流程管理的生命週期包括流程設計、系統配置、流程啟動、診斷四個階段。現有的研究多集中在前三個階段，較少與診斷有關的研究。本篇論文針對商業流程管理系統，研發系統發生錯誤時的診斷工具。本論文提出了診斷模型。此模型由使用者反應的問題中，定義錯誤類別、歸納使用者外部資訊，由商業規則和資料庫綱要中參考整合限制，並對應到系統的內部資訊。我們也開發了追蹤工具，追蹤錯誤可能的發生點，並依不同類別進行問題偵錯。除了針對本身的工作流程中的活動，也對前後的活動進行搜尋，以縮小錯誤偵測的範圍，協助資訊人員有效率排除錯誤。本論文根據一家電子公司的商業流程管理系統的個案研究，顯示我們所提出的診斷模型與追蹤工具有助於問題的偵錯。 關鍵字: 商業流程管理、診斷工具、商業邏輯 / An Enterprise Resource Panning (ERP) system integrates internal and external information andfacilitates the flow of information between all business functions inside and outside an organization. One of the main components of an ERP is the Business Process Management (BPM). Traditional BPM focues on the automation of business processes while advanced BPM has been extended to integrate with process logics and business logics for business strategy. The life cycle of a BPM system consists of process design, system configuration process enactment and diagnosis phases.Much research has been done on the first three phases. Little attension has been paid to the diagnosis phase. This thesis focuses on the design and implementation of a diagnosis tool for BPM systems. We propose a diagnosis model to represent the external and internal view of an error event. This diagnosis model is helpful for the troibleshouting to capture the status of an error event. Moreover, a bug tracer system is devlopement based on the proposed diagnosis model to diagnose the problem of workflow activities, and also trace before and after activities in the workflow, narrow the scope of error detection. Case studies from an electronic company demonstrate that the proposed diagnosis model and the tracer tool are helpful for troubleshooting. Keywords: Business Process Management, Diagnosis Tool, Business Logic

University of Macau / Institute of Chinese Medical Sciences

英語簡單句的認知診斷模式測驗，具有積極的教育意義，其訊息可以協助國小學生瞭解自己，也可以幫助國中小學校進行補救教學，促進國中英語課程的銜接。本研究對象為429位基隆市國民小學六年級學生，自編具有英語簡單句六個認知屬性的試題及其相關影響因素的測量問卷，研究發現如下： 壹、古典測驗理論之試題分析探索題目和相關影響因素： 一、英語簡單句題目，具有內部一致性信度和選項誘答力。 二、英語簡單句題目，以2個或3個認知屬性的題目比僅有1個認知屬性的題目具有難度與鑑別度。 三、自我效能、內在動機題目，具有良好的建構效度和內部一致性信度。 貳、以認知診斷模式分析英語簡單句測驗： 一、對於不良試題，認知診斷模式和古典測驗理論之試題分析結果可相呼應。 二、英語簡單句題目以G-DINA模式進行分析較為適當。 三、DINA模式和G-DINA模式的分析結果，大致相同。 四、僅有1個認知屬性的題目，有較高猜測參數，可能需要再檢視Q矩陣結構或修改試題。 五、認知屬性中，人稱代名詞單複數的判斷之精熟程度最高，而現在式一般動詞在單數或複數人稱上的使用之精熟程度最低。 六、精熟組型中，有幾乎一半的學生均具備全部的認知屬性；但是，也有約略二成的學生不具備任一認知屬性。 參、女學生、有課後英語文課程、高自我效能和高內在動機者，具有較多認知屬性個數的精熟組型 最後，本研究根據研究結果，提出供教育相關當局與人員之教學與研究建議。

本文應用攝護腺癌症蛋白質資料庫，是經由表面強化雷射解吸電離飛行質譜技術的血清蛋白質強度資料，藉此資料判斷受測者是否罹患癌症。此資料庫之受測者包含正常、良腫、癌初和癌末四種類別，其中包括兩筆資料，一筆為包含約48000個區間資料(變數)之原始資料，另一筆為經由人工變數篩選後，僅剩餘779區間資料(變數)之人工處理資料，此兩筆皆為高維度資料，皆約有650個觀察值。高維度資料因變數過多，除了分析不易外，亦造成運算時間較長。故本研究目的即探討在有效的維度縮減方式下，找出最小化分錯率的方法。 本研究先比較分類方法－支持向量機、類神經網路和分類迴歸樹之優劣，再將較優的分類方法：支持向量機和類神經網路，應用於維度縮減資料之分類。本研究採用之維度縮減方法，包含離散小波分析、主成份分析和主成份分析網路。根據分析結果，離散小波分析和主成份分析表現較佳，而主成份分析網路差強人意。 本研究除探討以上維度縮減方法對此病例資料庫分類之成效外，亦結合線性維度縮減－主成份分析，非線性維度縮減－主成份分析網路，希望能藉重疊法再改善僅做單一維度縮減方法之病例篩檢分錯率，根據分析結果，重疊法對原始資料改善效果不明顯，但對人工處理資料卻有明顯的改善效果。 / In this paper, we study the serum protein data set of prostate cancer, which acquired by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) technique. The data set, with four populations of prostate cancer patients, includes both raw data and preprocessed data. There are around 48000 variables in raw data and 779 variables in preprocessed data. The sample size of each data is around 650. Because of the high dimensionality, this data set provokes higher level of difficulty and computation time. Therefore, the goal of this study is to search efficient dimension reduction methods. We first compare three classification methods: support vector machine, artificial neural network, and classification and regression tree. And, we use discrete wavelet transform, principal component analysis and principal component analysis networks to reduce the data dimension. Then, we discuss the dimension reduction methods and propose overlap method that combines the linear dimension reduction method－principal component analysis, and the nonlinear dimension reduction method－principal component analysis networks to improve the classification result. We find that the improvement of overlap method is significant in the preprocessed data, but not significant in the raw data.

本論文旨在探討工作者之人格特質、內外控取向、工作特性、工作壓力三項變項與其工作滿足及生理、心理健康狀況之間的關係。藉由此三項變項之組合，瞭解其與工作滿足及生理、心理健康狀況之關聯性，並提出建議以供管理者於人事管理方向之參考。 本研究採立意取樣，以問卷調查一次施測方式取得資料，受試者採自新竹地區五家大型民營 之437 位現職工作者，所使用的研究工具，計有：「內外控取向量表」、「工作診斷調查表」、「工作壓力量表」、「工作滿意量表」及「生理、心理健康狀況檢查表」等。 在分析資料分法上，以因素分析法抽取研究變項之共同因素，並對各研究工具進行內部一致性信度分析，以確定研究工具為良好的工具；以簡單相關分析檢定各單變項間的關係；以三因子變異數分析探討內外控取向、工作特性、工作壓力三變項分別與工作滿足、生理、心理健康狀況間之關係有否交互作用產生，以t-Test及卡方檢定探討人員統計變項在各變項間之差異情形。 本研究結果發現：(1) 各單變項間彼此有相關情形，內外控取向、工作壓力與工作滿足變項呈負相關，而與生理、心理健康狀況呈正相關；工作特性與工作滿足變項呈正相關，而與生理、心理健康狀況呈負相關。即內控取向或工作特性佳或工作壓力低的工作者，其工作滿足感較高而生理、心理健康情形亦愈佳。(2) 三因子變異數分析之結果，只有內外控取向與工作壓力對生理健康狀況造成交互作用。主要效果結果得工作特性愈佳或工作壓力愈低的工作者，其內在、外在及整體滿足感愈高；內控取向或工作特性愈佳的工作者，其生理健康情形愈佳；內控取向或工作壓力低的工作者，其心理健康狀況較佳。 最後，根據研究結果，提出本研究之實務涵義，以供參考；並對未來研究方向及研究項目提出建議。

國內大多數之公司皆為中小企業，其相較於大公司資源有限，並無一套有系統的策略形成與管理工具。此工具一直是管理階層重視之議題，然而從過去之文獻發現，策略形成的方法紛呈，最為著名的是Porter(1980)競爭策略，但此類文獻大部分皆為國外學者所著，因而本研究針對國內吳思華(2000)的策略九說，以個案實作之方式，闡明其亦能有效協助公司形成策略。 依據過往文獻發現，策略形成工具協助公司形成策略後，往往就不了了之，並無明確說明如何執行已形成之策略。本研究依據Kaplan and Norton(1992)提出之平衡計分卡概念，以吳安妮(2002)(2003)提出策略執行系統4.7.4為架構與策略診斷性系統分析，協助公司執行已形成之策略及分析公司有無水平或垂直缺口，以免導致公司擁有策略後，卻因執行的後繼無力，而無法展現成效。 最後，以免公司內部單位各自為政，造成資源浪費，因而依據Niven(2002)與吳安妮(2002)提供之觀念，使總公司、SBU與SSU三者之策略能有效連結，形成綜效。 關鍵字：中小企業、策略九說、策略形成與執行系統、策略診斷性分析、綜效。 / Most domestic companies are all small and medium enterprises. The limitations in resources for small and medium enterprises are much greater, causing them to not have a systematic strategy formation and management tools. These management tools have been important management issues, however, the literature only found ways to form strategies, the most famous being the Porter (1980) competitive strategy, but most of these documents were all written by foreign scholars. One famous document written by domestic scholars by Wu Se-hwa (2000) strategy nine, wrote a case by case implementation of management tools can also effectively help companies clarify their strategy. Based on previous literature found about the formation of strategic tools to assist companies to form policy, there is often no clear description of how the strategy has been formed. The study, based on Kaplan and Norton (1992) proposed the concept of the Balanced Scorecard, to Miss Anne (2002) (2003) proposed strategies for the implementation of the system 4.7.4 system architecture and analysis of diagnostic strategies to help companies execute strategy and has formed the analysis of the company to see whether they have horizontal or vertical gaps, so as not to cause the company to have a strategy, with the inability to perform follow-ups, and can not show results. Finally, in order to avoid fragmented units within the company, resulting in waste of resources, which according to Niven (2002) and Anne Wu (2002) provided, thus allowing the head office, SBU and SSU's strategy to effectively link the three to form a synergy. Keywords: SMEs, strategy nine, strategic formulation and implementation, analysis of diagnostic strategies, synergy.

University of Macau / Institute of Chinese Medical Sciences

目的：基於初診斷乳癌患者的心理沮喪反應存在個別差異性之假設，本研究旨在探討乳癌患者的心理沮喪發展軌跡及其與資源變化、因應風格之間的關係，並採用動態性的壓力調適觀點來說明影響個體間發展差異與個人內變化之因素。三個主要的目的為（1）初診斷乳癌患者是否具有不同的心理沮喪發展軌跡？（2）隨時序變化的資源變化與因應風格可否區辨不同的軌跡組別；以及（3）不同軌跡組別的資源變化與因應風格對其心理沮喪之影響是否不同？ 方法： 本研究採用貫時性的研究設計，共收錄200名初診斷乳癌患者。患者於診斷後的手術前一天進行評估，並於術後一個月、術後四個月、術後七個月及術後一年進行後續的追蹤。每一點的心理沮喪分數採用中文的醫院版焦慮與憂鬱量表（HADS）來測量，追蹤時間點的資源變化與癌症因應風格之分數，分別是以修編的資源改變量表（資源流失與資源獲得）與台灣版癌症心理調適量表（Mini-MAC）進行評估。 結果：潛在類別成長模式的結果顯示，相較於過去的研究，心理沮喪的變化軌跡可區辨出「韌性組」、「復原組」、「晚發組」及「慢性組」。潛在成長曲線模式的分析顯示，相較於其他三組，「韌性組」的壓力因應特性為：診斷之後維持在低資源流失、較低的初始AP，以及較低的CA成長率；相較於「韌性組」，「復原組」還具有下降較慢的FS；「晚發組」與「慢性組」又比前兩組具有更高的初始HH與較高的AP成長率，而「慢性組」比起其他三組在診斷初期具有最高的資源流失、最高的HH以及最低的FS。階層線性模式的分析顯示，四組之中的資源流失與因應風格皆可預測心理沮喪，作用的差異之處主要出現在「慢性組」的資源獲得與CA具有減緩心理沮喪之效果，以及各組之內的預測因子不同。 結論：本研究支持罹癌後的壓力反應具有個別差異性，並且指出乳癌患者的心理沮喪反應具有四種不同的發展型態。本研究也強調於連續變化的向度中考量不同的心理沮喪發展軌跡及其相關的壓力調適因子亦具有時序變化之重要性。有關的理論與實務意涵將於後作進一步地討論。 / Objectives: This study assumed the psychological distress of newly-diagnosed breast cancer (BC) patients existed the entities of the individual difference, so this study examined distinct development trajectories of psychological distress amongst BC patients and their relationship with resource changes and coping styles, and adopted a dynamic stress-coping perspective to shed light on the factors that contribute to the diversity of inter-individual development and intra-individual change. The three major purposes were (1) to determine if there are distinct development trajectories of psychological distress amongst newly-diagnosis BC patients; (2) to test whether time-varying resource changes and coping styles can distinguish the trajectory groups; (3) to explore whether the effect of time-varying resource changes and coping styles on psychological distress differ within each trajectories group. Methods: A longitudinal reasarch study of 200 newly-diagnosed BC patients was recruited and participants were assessed at the day before surgery, and again at the 1-month, 4-month, 7-month and 1-year post-surgery follow-ups. Psychological distress was measured at the five time-points using the Chinese version of Hospital Anxiety and Depression Scale (HADS). Resource changes and cancer-specific coping were assessed at all follow-ups using the revised Resource Change Scale and the the Chinese version of Mini-MAC Scale, respectively. Results: Latent Class Growth Analysis (LCGA) identified four latent classes of BC patients with distinct developmental trajectories of psychological distress - resilience, recovery, late onset and chronic dysfunction. Latent Growth Curve Model (LGM) revealed that the stress-coping properties of the resilience group featured a stabilized lower level of resource loss after diagnosis, a lower level of initial AP-coping and a lower growth rate of CA-coping when compared with the others. The recovery group was more likely to have a lower decrease of FS-coping than the resilience group. Moreover, the late onset group and the chronic dysfunction group were more likely to have a higher level of initial HH-coping and a higher increase in AP-coping, and the chronic dysfunction group was characterized by the highest level of initial resource loss and HH-coping, and the lowest level of initial FS-coping compared with the other groups. The Hierarchical Linear Model (HLM) indicated that resource loss and use of coping styles could significantly predict levels of psychological distress in each trajectory group. The major differences that appeared were in the positive effect of resource gain and use of CA-coping on decreasing distress symptoms amongst people in the chronic dysfunction group, as well as in the different predictors that were found in each trajectory group. Conclusions: The present study shows that there are individual differences in cancer-specific stress responses and outlines four different developmental patterns of psychological distress amongst newly-diagnosed Taiwanese BC patients. This study also stressed the importance of considering time-serial continuity of distinct developmental trajectories with regards to psychological distress as well as the related stress-coping factors which also varies with time. Further theoretical and practical implications are discussed in depth in the content of the study.

癌症至今已連續蟬聯並高居國人十大死因之首，由於癌症初期病患接受適時治療的存活率較高，因此若能「早期發現，早期診斷，早期治療」則可降低死亡率。本文所引用的資料庫，是經由「表面強化雷射解吸電離飛行質譜技術」（SELDI-TOF-MS）所擷取建置的蛋白質質譜儀資料，包括兩筆高維度資料：一筆為攝護腺癌症，另一筆則為頭頸癌症。然而蛋白質質譜儀資料常因維度變數繁雜眾多，對於資料的存取容量及運算時間而言，往往造成相當沉重的負擔與不便；有鑑於此，本文之目的即在探討將高維度資料經由維度縮減後，找出分錯率最小化之分析方法，希冀提高癌症病例資料分類的準確性。 本研究分為實驗組及對照組兩部分，實驗組是以主成份分析（Principal Component Analysis，PCA）進行維度縮減，再利用支持向量機（Support Vector Machine，SVM）予以分類，最後藉由重疊法（Overlap）以期改善分類效果；對照組則是以支持向量機直接進行分類。分析結果顯示，重疊法對於攝護腺癌症具有顯著的改善效果，但對於頭頸癌症的改善效果卻不明顯。此外，本研究也探討關於蛋白質質譜儀資料之質量範圍，藉以確認專家學者所建議的質量範圍是否與分析結果相互一致。在攝護腺癌症中的原始資料，專家學者所建議的質量範圍以外，似乎仍隱藏著重要的相關資訊；在頭頸癌症中的原始資料，專家學者所建議的質量範圍以外，對於研究分析而言則並沒有實質上的幫助。 / Cancer has been the number one leading cause of death in Taiwan for the past 24 years. Early detection of this disease would significantly reduce the mortality rate. The database adopted in this study is from the Protein Mass Spectrometry Data Sets acquired and established by “Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry” (SELDI-TOF-MS) technique, including the Prostate Cancer and Head/Neck Cancer Data Sets. However, because of its high dimensionality, dealing the analysis of the raw data is not easy. Therefore, the purpose of this thesis is to search a feasible method, putting the dimension reduction and minimizing classification errors in the same time. The data sets are separated into the experimental and controlled groups. The first step of the experimental group is to use dimension reduction by Principal Component Analysis (PCA), following by Support Vector Machine (SVM) for classification, and finally Overlap Method is used to reduce classification errors. For comparison, the controlled group uses SVM for classification. The empirical results indicate that the improvement of Overlap Method is significant in the Prostate Cancer case, but not in that of the Head/Neck case. We also study data range suggested according to the expert opinions. We find that there is information hidden outside the data range suggested by the experts in the Prostate Cancer case, but not in the Head/Neck case.

研究目的：本研究的目的，是以縱貫研究的方式探討自閉症類疾患兒童自學齡前期至學齡期的臨床診斷穩定度、自閉症狀嚴重度變化、適應行為型態與其變化、內外化行為。 研究方法：本研究納入28名自閉症類疾患與18位非自閉症類疾患，於三個時間點進行評估：時間點一平均生理年齡為2歲半、時間點二為4歲、時間點三為9歲半。本研究分析三個時間點之臨床診斷穩定度以及後兩個時間點之評估資料。症狀嚴重度方面，以自閉症診斷會談問卷修訂版之晤談評估；適應行為方面，以文蘭適應行為量表第二版評估；認知功能方面，時間點二時以穆林發展量表評估，時間點三時使用魏氏兒童智力量表第四版評估；內外化行為方面，時間點三時以阿肯巴克實證衡鑑系統中的兒童行為檢核表評估。 研究結果：本研究結果顯示，自閉症類疾患從學齡前期至學齡期的臨床診斷穩定度高，若分亞型來看，自閉性疾患的診斷穩定度比其他未註明之廣泛性發展疾患高。症狀嚴重度方面，學齡期時自閉症類疾患兒童的溝通、侷限及重複刻板行為有顯著改善，社交行為亦有改善趨勢。適應行為方面，學齡前期及學齡期皆未發現自閉症類疾患與非自閉症類疾患之表現型態有差異，兩組在社會化領域的表現皆較其他領域來得差。自閉症類疾患的適應行為於學齡期時，年齡當量顯著增加，但社會化適應行為標準分數反而退步；進一步以認知功能分組檢視，則發現高功能自閉症類疾患在日常生活技巧與社會化領域的進步幅度顯著較多。內外化行為方面，學齡期時自閉症類疾患個案的退縮/憂鬱分量尺與社會問題分量尺之分數高於非自閉症類疾患，且自閉症類疾患在退縮/憂鬱、社會問題、注意力問題等三個分量尺上，皆有超過一半的個案達到邊緣範圍以上之分數；未發現內外化行為與自閉症狀嚴重度之間的相關。 結論：自閉症類疾患兒童到了學齡期大部分仍維持臨床診斷，顯示其自閉特徵仍然穩定存在，不過症狀嚴重度的整體趨勢會隨著年紀改善；但若以個體差異來看，每位個案進步的程度呈現高異質性，每位個案症狀改變的程度可能不同。自閉症類兒童的社會化適應行為從學齡前期至學齡期皆為其弱項，雖適應行為會隨著年齡進步，但社會化適應行為仍追不上同儕程度；高功能自閉症類疾患兒童的適應行為在日常生活技巧與社會化領域的進步幅度顯著較多，可能與認知功能有關。內外化行為方面，自閉症類疾患兒童的退縮/憂鬱問題、社會問題、注意力問題較多，但與症狀嚴重度無關。 / Purposes: The purpose of this longitudinal study was to examine the stability of clinical diagnosis, symptom severity, adaptive function and enternal/external behavior from toddler to school age in children with autism spectrum disorders (ASDs). Methods: Twenty eight children diagnosed with ASDs and eighteen children with Non-ASDs participated at time 1 (mean chronological age was 2.5 years old), and then followed at time 2 (mean chronological age was 4 years old) and at time 3 (mean chronological age was 9.5 years old). This study examines the stability of clinical diagnosis from time 1 to time 3, and analyze the measurement data between time 2 and time 3. Autism Diagnostic Interview-Revised (ADI-R) was used to measure autistic symptom severity at time 2 and time 3; Vineland Adaptive Behavior Scales-II (VABS-II) was used to measure daily adaptive behavior at time 2 and time 3; Mullen Scale of Early Learning (MSEL) or Wechsler intelligence scale for children-Fourth Edition (WISC-IV) was used to measure cognitive function at two time points; Child Behavior Checklist for Ages 6-18 (CBCL/6-18) was used to measure enternal and external behavior at time 3. Results: The stability of clinical diagnosis was high from toddler age to school age, and the stability of Autistic Disorder was higher than Pervasive Developmental Disorder Not Otherwise Specified. The ADI-R scores of communication domain, repetitive and stereotyped behavior domain were decreased at school age, while reciprocal social interaction domain was also declined but no significant difference. All domains of VABS-II standard score were no significant difference between ASDs and Non-ASDs at two time point, and the score of social domain was worst in both two groups. The VABS-II standard score of social domain was reduced although the age equivalent was increased at school age, and the standard score of other domains were no significant difference between the two time points but all age equivalents were improved at school age. Dividing ASDs to high-function ASDs and low-function ASDs to analyze the growth rate of adaption behaviors, the results indicated that the growth rate of adaption behaviors were higher in high-function ASDs at daily skill domain and social domain. Children with ASDs had significant higher scores on Withdrawn/Depressed scale and Social Problem scale than Non-ASDs in CBCL, and over 50 percent of ASDs scored above the borderline range at Withdrawn/Depressed scale, Social Problem scale and Attention Problem scale. In addition, there were no significant correlations between CBCL and ADI-R. Conclusions: In summary, the study showed that most of ASDs sustained the clinical diagnosis from preschool age to school age, however, the autistic symptom severity was declined. Additionally, the improvement of symptom severity of individual ASDs was high variability. The social adaptive behavior was worst in both toddler age and school age in ASDs. Although these children with ASD developed some of adaptive behaviors in the school age, the magnitude of improvement couldn’t equal to the change of their chronological age, especially in socialization domain. The growth rate of daily skill domain and social domain were higher in high-function ASDs than low-function ASDs, might associated with cognitive function. More Children with ASDs had withdrawn/depressed problem, social problem and attention problem, but there were not related to autistic symptom severity.