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Background/purpose: Few studies exist investigating the effectiveness of radioiodine (RAI) therapy for hyperthyroidism patients in Asia. We herein investigated the real-world efficacy of single-dose RAI therapy in Taiwanese patients with Graves’ disease (GD). Methods: This is a retrospective study of 243 patients with GD recorded between 1989 and 2016 in a tertiary referral hospital. Eu- or hypothyroid after RAI therapy were defined as the successful group. Kaplan–Meier curve and cox-regression model were used for analysis of prognostic factors. Results: Of the 243 patients, 187 were females, with mean age of 46.9 ± 13.6 years. Most patients (63.8%) did not choose RAI as the first-line therapy. The median dose was 7 mCi, with a mean follow-up period of 107.1 ± 82.8 months. The overall success rate was 70.9%. Univariate analysis revealed calculated- or fixed-dose (P = 0.015), goiter size (P

The Pareto Principle, also known as the 80/20 rule is currently an important and popular management rule applied to marketing and customer relationship management (CRM). The rule indicates that the vital few causes inputs or efforts bringing the most results, outputs, or rewards. Analyzing circulation data to understand the usage status of library collections can help libraries comprehend their patrons’ behaviour. However, little research has been done to analyse circulation data of public libraries to reveal patrons’ usage behaviours. This paper aimed to analyse the circulation data generated by a municipality public library in Taiwan to gauge if the Pareto Principle manifested in this context. Subsequently, using bibliomining analysis, this research further identified vital patrons and their characteristics, as well as book-borrowed distributions to help analyse patrons' book borrowing behaviour to improve the efficiency of library management and library marketing as well as CRM. The circulation data of the public library follows the Pareto Principle, approximating to the 80/20 rule. Findings showed that when the accumulative percentage of patron is 24.7 percent, the accumulative percentage of borrowed books is 75.3 percent. The vital few patrons borrow the majority of the collections. This paper is the first study to reveal that the Pareto Principle could be found in circulation data of a public library in Taiwan. It could help libraries identify vital patrons and major collections, and improve the efficiency of their management and marketing activities in future. For other types of libraries, it would be interesting for us to explore the existence of the Pareto Principle further.

Geospatial big data analytics are changing the way that businesses operate, and have enabled various intelligent services in smart cities. User mobility plays an important role in many context-aware applications, such as location-based advertisement, traffic planning, and urban resource management. This paper proposes CityTracker, a hidden Markov model (HMM)-based framework to predict the temporal-spatial individual trajectory and analyze the representative citywide crowd mobility. After the locations are segmented into points of interests and modeled as states, HMM can find the most likely state sequence in a maximum-likelihood sense, and thus perform trajectory prediction with different orders. In addition, CityTracker can integrate the individual trajectories, achieving representative crowd mobility visualization in the target area. The proposed mechanism is evaluated on a database provided by HyXen, which contains temporal-geospatial records from thousands of smartphones in Taipei. Experimental results confirm the effectiveness of CityTracker, which achieves prediction distance errors of approximately 1.28 km and outperforms traditional probabilistic and regression-based methods. The results also show the most representative crowd mobility behaviors in the map, which is essential for citywide applications.

Although the majority of nasopharyngeal carcinoma (NPC) patients demonstrate favorable outcomes after radiotherapy and/or chemotherapy, about 8-10% of patients will develop recurrent disease, and genomic alterations (GAs) associated with the recurrence are unclear.This study investigated the GAs in the paired primary tumors and recurrent tumors of 7 NPC patients with relapse, as well as the primary tumors of 15 NPC patients without relapse by deep targeted next-generation sequencing on 440 cancer-related genes.The discovery of GAs associated with recurrence or survival in NPC may serve as potential prognostic gene signatures of high-risk patients. Targeted therapies are available in some of the clinically relevant GAs and may be considered in future clinical trials. Given the limitation of the sample size, validation by a larger cohort is warranted.

Background Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation. Objective We present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020. Methods The smart contact tracing–based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2. Results As of February 29, a total of 67 contacts who were tested by reverse transcription–polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020. Conclusions Big data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.

Purpose: Luminal type breast cancers account for the most common subtypes of breast cancers, among which luminal B subtype is relatively faster tumor growing and confers substantial risk of recurrence after primary treatment despite adjuvant endocrine therapy. Understanding the molecular alterations underlying the poorer survival outcome for luminal B tumors represents an unmet medical need. Experimental design: The archival samples of 16 recurrences within 5 years, 3 recurrences between 5-10 years and 24 non-recurrence tumor tissues from luminal B breast cancer patients were retrieved. Genomic alterations of these 43 breast cancer samples were detected using deep next-generation sequencing of a 440-gene panel. The mRNA levels of candidate genes in breast cancer patients were analyzed from The Cancer Genome Atlas (TCGA) database. Results: Overall, genomic alterations were found in 340 genes, including single nucleotide variants and copy number variation. Comparing to the non-recurrence tumors, NUP98 (31.3%), MAPK4 (18.8%), PTEN (18.8%), PER1 (18.8%) and TRIP11 (18.8%) showed higher population frequency in the recurrence tumors, and IGF2R (50.0%), PIM1 (45.8%) and ROS1 (37.5%) were dominate in the non-recurrence tumors. After a validation with the public clinical dataset, we identified three potential prognostic biomarkers, including NUP98, PER1, and TRIP11. We observed missense mutation or copy number deletion of NUP98, PER1 and TRIP11 in early recurrence tumors. Data from TCGA database exhibited patients with breast cancer harbored lower NUP98, PER1 and TRIP11 transcripts levels. Notably, lower NUP98, PER1 and TRIP11 expression levels correlated with worse recurrence-free survival in luminal B breast cancer. Interestingly, based on algorithm for visualization of protein interaction network, we found these 3 genes were all involved in androgen receptor signaling network. Conclusion: Our study identified NUP98, PER1, and TRIP11 which potentially served as biomarkers to predict recurrence in luminal B breast cancer. Further research is required to understand the association between genomic alterations and androgen receptor signaling as well as its clinical impact. Citation Format: Chun-Yu Liu, Ji-Lin Chen, Yi-Ting Yang, Yi-Fang Tsai, Ta-Chung Chao, Kien Thiam Tan, Wan-Lun Wang, Pei-Ju Lien, Shu-Jen Chen, Ling-Ming Tseng. Prognostic genomic alterations associated with recurrence after primary therapy for patients with luminal B breast cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6468.

Objectives: We aimed to evaluate the antifertility activity and vaginal irritation effects of tideglusib in vivo using rabbit models and to evaluate the cytotoxical effects of tideglusib to sperm, vaginal cells and vaginal bacteria (L. acidophilus) in vitro. Study design: We treated female rabbits with vaginal tideglusib 1 mM, nonoxynol-9 (N-9) or vehicle control (Poloxamer 407). In experiment 1, we sacrificed females (n = 6 each) after 10 days of daily administration and assessed vaginal histological changes using Eckstein irritation score. In experiment 2, females (n = 9 each) received estradiol benzoate to induce ovulation 24 h prior to vaginal treatment followed by introduction of a fertile male. These females underwent necropsy at the 21st day to assess pregnancy status. In experiment 3, we used an HTM-TOX IVOS sperm motility analyzer and scanning electron microscopy (SEM) to evaluate the effect of tideglusib on human sperm samples. In experiment 4, we evaluated the effect of tideglusib on lactobacillus and vaginal cell growth in vitro. Results: The total irritation score of tideglusib vs. N-9 was 3.4 ± 2.07 vs. 7.8 ± 3.82, p

Rationale The diagnosis of anaplastic lymphoma kinase (ALK)-negative inflammatory myofibroblastic tumors (IMT) remains challenging because of their morphological resemblance with spindle cell sarcoma with myofibroblastic characteristics. Patient concerns A 69-year-old female patient presented with loco-regional recurrent IMT several times within 8 years after primary treatment and neck lymph node metastasis 3.5 years after last recurrence. Diagnosis The primary, recurrence, and lymph node metastasis lesions were diagnosed as ALK-negative IMTs based on the histopathological features. Interventions Biopsy samples were obtained during repeated surgeries and evaluated for genomic alterations during first and recurrent presentations. The evaluation was done using pathway-driven massive parallel sequencing, and genomic alterations between primary and recurrent tumors were compared. Outcomes Copy number gains and overexpression of mouse double minute 2 homolog (MDM2) and cyclin dependent kinase 4 (CDK4) were observed in the primary lesion, and additional gene amplification of Discoidin Domain Receptor Tyrosine Kinase 2 (DDR2), Succinate Dehydrogenase Complex II subunit C (SDHC), and thyroid stimulating hormone receptor (TSHR) Q720H were found in the recurrent tumors. Metastases to the neck lymph node were observed 3.5 years after recurrence. Lessons Our results indicated genetic evolution in a microscopically benign condition and highlighted the importance of molecular characterization of fibro-inflammatory lesions of uncertain malignant potential.

This paper introduces the hardware implementation architecture of real-time ECG R-wave detection with wavelet transform algorithm. According to the principle of mutation point detection based on wavelet transform, we determine the position of R-wave by the modulus maximum of the wavelet coefficients. Moreover, the proposed hardware implementation architecture is optimized based on the characteristics of the wavelet transform algorithm. The clinical data of MIT-BIH arrhythmia database is used to verify the proposed algorithm and hardware implementation architecture.

Marketing is the business operation that many different companies or organizations use to promote their products or enhance their image to their customers or users. Then it derived different marketing practices and models for different situations. Target marketing is one of the most effective and popular choices. It is a kind of customer marketing, mainly using analysis of customer characteristics to segment customers, in order to achieve specific commodity marketing for the purpose. Library, especially public library, how to borrow the concept of target marketing to promote its utilization and services is a problem that library managers must actively conceives. The Pareto Principle is currently the most important and popular management rule applied to marketing, customer relationship management, services or products promotion, etc. This study will explore whether there this principle exists for patrons’ borrowing in public library, thus as the basis of target marketing. And we will apply data mining technology to analyze the characteristics of the vital patrons, in order to further serve as references for setting target marketing strategy. This paper was the first research to reveal that the Pareto Principle could be found in circulation data of public libraries in Taiwan. The results can help libraries identify vital patrons and major collections, and improve the efficiency of their management and marketing in future.

// William C.S. Cho 1 , Kien Thiam Tan 2 , Victor W.S. Ma 1 , Jacky Y.C. Li 1 , Roger K.C. Ngan 3 , Wah Cheuk 4 , Timothy T.C. Yip 5 , Yi-Ting Yang 2 and Shu-Jen Chen 2 1 Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong 2 ACT Genomics, Co. Ltd., Taipei, Taiwan 3 Department of Clinical Oncology, The University of Hong Kong, Gleneagles Hong Kong Hospital, Wong Chuk Hang, Hong Kong 4 Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong 5 ACT Genomics, Co. Ltd., Kowloon, Hong Kong Correspondence to: William C.S. Cho, email: chocs@ha.org.hk or williamcscho@gmail.com Yi-Ting Yang, email: yitingyang@actgenomics.com Shu-Jen Chen, email: sjchen@actgenomics.com Keywords: biomarker; early-stage; lung cancer; next-generation sequencing; relapse Received: August 20, 2018 Accepted: November 01, 2018 Published: November 20, 2018 ABSTRACT Purpose: The identification of genomic alterations related to recurrence in early-stage non-small cell lung cancer (NSCLC) patients may help better stratify high-risk individuals and guide treatment strategies. This study aimed to identify the molecular biomarkers of recurrence in early-stage NSCLC. Results: Of the 42 tumors evaluable for genomic alterations, TP53 and EGFR were the most frequent alterations with population frequency 52.4% and 50.0%, respectively. Fusion genes were detected in four patients, which had lower mutational burden and relatively better genomic stability. EGFR mutation and fusion gene were mutually exclusive in this study. CDKN2A, FAS, SUFU and SMARCA4 genomic alterations were only observed in the relapsed patients. Increased copy number alteration index was observed in early relapsed patients. Among these genomic alterations, early-stage NSCLCs harboring CDKN2A, FAS, SUFU and SMARCA4 genomic alterations were found to be significantly associated with recurrence. Some of these new findings were validated using The Cancer Genome Atlas (TCGA) dataset. Conclusions: The genomic alterations of CDKN2A, FAS, SUFU and SMARCA4 in early-stage NSCLC are found to be associated with recurrence, but confirmation in a larger independent cohort is required to define the clinical impact. Materials and Methods: Paired primary tumor and normal lung tissue samples were collected for targeted next-generation sequencing analysis. A panel targets exons for 440 genes was used to assess the mutational and copy number status of selected genes in three clinically relevant groups of stage I/II NSCLC patients: 1) Early relapse; 2) Late relapse; and 3) No relapse.

Importance Older patients undergoing abdominal surgery commonly experience preventable delirium, which extends their hospital length of stay (LOS). Objective To examine whether a modified Hospital Elder Life Program (mHELP) reduces incident delirium and LOS in older patients undergoing abdominal surgery. Design, Setting, and Participants This cluster randomized clinical trial of 577 eligible patients enrolled 377 older patients (≥65 years of age) undergoing gastrectomy, pancreaticoduodenectomy, and colectomy at a 2000-bed urban medical center in Taipei, Taiwan, from August 1, 2009, through October 31, 2012. Consecutive older patients scheduled for elective abdominal surgery with expected LOS longer than 6 days were enrolled, with a recruitment rate of 65.3%. Participants were cluster randomized by room to receive the mHELP or usual care. Interventions The intervention (implemented by an mHELP nurse) consisted of 3 protocols administered daily: orienting communication, oral and nutritional assistance, and early mobilization. Intervention group participants received all 3 mHELP protocols postoperatively, in addition to usual care, as soon as they arrived in the inpatient ward and until hospital discharge. Adherence to protocols was tracked daily. Main Outcomes and Measures Presence of delirium was assessed daily by 2 trained nurses who were masked to intervention status by using the Confusion Assessment Method. Data on LOS were abstracted from the medical record. Results Of 577 eligible patients, 377 (65.3%) were enrolled and randomly assigned to the mHELP (n = 197; mean [SD] age, 74.3 [5.8] years; 111 [56.4%] male) or control (n = 180; mean [SD] age, 74.8 [6.0] years; 103 [57.2%] male) group. Postoperative delirium occurred in 13 of 196 (6.6%) mHELP participants vs 27 of 179 (15.1%) control individuals, representing a relative risk of 0.44 in the mHELP group (95% CI, 0.23–0.83;P = .008). Intervention group participants received the mHELP for a median of 7 days (interquartile range, 6–10 days) and had a shorter median LOS (12.0 days) than control participants (14.0 days) (P = .04). Conclusions and Relevance For older patients undergoing abdominal surgery who received the mHELP, the odds of delirium were reduced by 56% and LOS was reduced by 2 days. Our findings support using the mHELP to advance postoperative care for older patients undergoing major abdominal surgery. Trial Registration clinicaltrials.gov Identifier:NCT01045330.

OBJECTIVE: To evaluate the effects of the modified Hospital Elder Life Program (mHELP) comprising three nurse-administered protocols in older patients undergoing gastrointestinal (GI) surgery. DESIGN: Cluster randomized trial. SETTING: Two 36-bed GI wards at a university-affiliated medical center in Taiwan. PARTICIPANTS: Older patients (≥ 65 years, N=377) were recruited if they were scheduled for elective GI surgery with an expected length of hospital stay >6 days. After transferring to the GI ward after surgery, participants were randomly assigned to the mHELP or control group (1:1) by room rather than individually since most patient units are double- or triple-occupancy rooms. INTERVENTION: The mHELP protocols (early mobilization, oral and nutritional assistance, and orienting communication) were administered daily with usual care by a trained nurse until hospital discharge. The control group received usual care only. MEASURES: Outcomes were in-hospital nutritional decline, measured by body weight and Mini-Nutritional Assessment (MNA) scores, and Fried’s frailty phenotype. Return of GI motility was examined as a potential mechanism contributing to observed outcomes. RESULTS: Participants (mean age=74.5 years; 56.8% male) primarily underwent colorectal (56.5%), gastric (21.2%), and pancreatobiliary (13.8%) surgery. Participants who received the mHELP (for a median of 7 days [interquartile range=6–10 days]) had significantly lower in-hospital weight loss and decline in MNA scores (weight −2.1 vs. −4.0 lb., P=.002; score −3.2 vs. −4.0, P=.03) than the control group. The mHELP group also had significantly lower rates of incident frailty during hospitalization (12.0 vs. 21.7%, P=.022), and persistent frailty (50.0 vs. 92.9%, P=.03). Participants in the mHELP group had trends toward an accelerated return of GI motility. CONCLUSION AND IMPLICATIONS: The mHELP effectively reduced nutritional decline, prevented new frailty, and promoted recovery of frailty present before admission. These nurse-administered protocols might be useful in other settings, including conditions managed at home or in nursing facilities. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01045330

With the extensive use of concrete materials, concrete corrosion as an important hazardous factor of engineering safety and its impact on the engineering safety is receiving attention gradually. In order to study its impact on the safety of mining engineering, this paper summarized the corrosion factor of concrete shaft lining of mine and its research progress, and combined with the actual progress of the concrete corrosion. The author came to the conclusion that we should pay attention to the study of the corrosion of concrete shaft lining of mine, at the same time, analyzed the feasibility of the study. The authors believe that, at the present stage, studies of concrete corrosion are more comprehensive and thorough, and coupled with the comprehensive understanding of the underground environment. It is perfectly placed to study the problems of the corrosion of concrete shaft lining of mine deep and systematically.

e21189Background: Comprehensive genomic profiling (CGP) has transformed personalized medicine but is still not affordable to all patients, especially in developing countries. The price of CGP diffe...

Background: Clinically innovative genomic diagnostics may expedite the selection of effective targeted therapies if the patient can be stratified correctly based on their unique cancer driven events/pathways during tumorigenesis. Aim: Here, we performed a pan-cancer analysis on the clinical utility of a targeted gene panel, ACTOnco+, in characterizing the prevalence of actionable mutations. Methods: A total of 229 formalin-fixed, paraffin-embedded (FFPE) tissues from 40 tumor types were subjected to next-generation sequencing (NGS) using the Ion Torrent Proton System. All coding exons in 440 cancer-related genes were assessed at average depth of > 800X. Therapeutic implications were based on information obtained from base substitutions, indels, and copy number alterations (CNAs). Results: 58.5% (n=134) patients harbored at least one actionable mutation while CNAs, including homozygous and heterozygous deletions, were detected in 83.9% (n=191) of patients. Across all tumor types, the most frequently altered pathway that can confer either sensitivity or resistance to targeted therapies was PI3K/AKT/mTOR signaling, contributed by PIK3CA and AKT1 activating mutations as well as NF1, NF2, PTEN, TSC1, STK11 and TSC2 inactivating mutations or deletions. In parallel, dysregulation of cell cycle was mostly owing to CCND1, CDK4 and CDK6 amplification and/or loss of CDKN2A. Notably, on top of BRCA1/ 2 mutations, deletion of BRCAness-related genes ( MRE11, RAD50, PALB2, FANCD2, ATM, ATR, CHEK1 and CHEK2) that may result in homologous recombination deficiency (HRD) was observed in 71.4% breast, 70.6% ovarian, 61.0% lung, 58.3% pancreatic, and 52.2% colorectal cancers. Other targetable alterations on receptor tyrosine kinase (RTK), angiogenic and hedgehog signaling pathways were also observed. Conclusion: A comprehensive pathway-based genomic profiling characterized significant actionable alterations across different solid tumors that may play a role in tissue-agnostic tailored treatment.

For university students stepping into learning of the professional field or even graduate students that have engaged in learning of such a field for many years, they are often unable to grasp the big picture of “the scope of professionalism”, neither do they have a clue how to engage in self-learning. Therefore, how to construct the discipline-oriented ontology from the learner’s standpoint to enable the learner to grasp the whole picture of the discipline as well as developing a learning APP for young people to use are important issues that facilitate self-learning. In this study, library and information science was used as the example for developing discipline-oriented LIS Ontology. In addition, the ORCID system API was employed to integrate teachers’ English publications included in the Scopus database and Chinese publications included in the CLISA database in order to develop a learning APP for the discipline, allowing students to search departments, teachers, curriculums, research projects, knowledge scope, and other information of the discipline and link to the full-text database via their mobile phone, so that they can plan their own learning map and path.

e20522 Background: Lung cancer boasts an arsenal of targeted therapies directed at various molecular aberrations such as EGFR mutations and fusion genes. Simultaneous assessment for genetic alterations provides biomarkers to assist clinicians in their treatment selections. Methods: A total of 43 FFPE (formalin-fixed, paraffin-embedded) samples obtained from lung cancer patients in Taiwan were subjected to next-generation sequencing (NGS), using a compact panel encompassing 17 potentially actionable, lung cancer-associated genes. NGS was performed on the Ion Torrent PGM or Proton System with a targeted average depth of > 800x. Genomic alterations detected were categorized as single nucleotide variants (SNV) or chromosomal copy number alterations (CNA). Results: A total of 74 putatively actionable genomic alterations were detected across 38 patients (88.4%), which may predict sensitivity or resistance to established and/or therapies that are still in clinical development. 19 patients (44.2%) had tumors harboring activating EGFR mutations in the tyrosine kinase (TK) domain – L858R substitution or exon 19 deletion, which may suggest clinical benefit to first- and second-generation EGFR TK inhibitors (TKIs). Three patients (7.0%) whose tumor had acquired the EGFR T790M mutation were advised to switch to third-generation EGFR TKI. Possible resistance mechanisms to EGFR TKIs via increased copy number of EGFR (14.0%, n = 6) and MET (11.6%, n = 5) were observed. Deletion or loss of CDKN2A gene were detected in 14 patients (32.6%), which may confer sensitivity to CDK4/6 inhibitors. Inhibition of downstream effectors in the RAS/RAF/MEK/ERK and PI3K/AKT/mTOR pathways were suggested for patients whose tumor harbored PIK3CA and/or KRAS oncogenic mutations. Conclusions: Next-generation sequencing using a compact panel of genes may be sufficient to identify biomarkers for targeted therapies selection for most lung cancer patients in Taiwan.

Aim: To test whether the genetic polymorphisms within the gene encoding the UGT2B7 gene may have an impact on methadone treatment. Materials & methods: Twelve SNPs in UGT2B7 were selected. 366 methadone maintenance treatment patients in Taiwan were recruited and genotyped. Results: In a genotype recessive model, rs6600879, rs6600880, rs4554144, rs11940316, rs7438135, rs7662029, rs7668258, rs7439366, rs4292394 and rs6600893 showed significant associations with severity of withdrawal symptoms (permutation p < 0.002), pupil size (permutation p < 0.048) and tremor (permutation p < 0.008). Haplotypes of GATCAGCCGC and CTCTGATTCT were significantly associated with pupil size score and tremor score (p < 0.034). Conclusion: These results suggest that SNPs of the UGT2B7 gene may play important roles in opiate withdrawal symptoms. Original submitted 10 February 2012; Revision submitted 23 April 2012

Human recognition by gaits is a new biometric method which considers both spatial and temporal features by tracking the gait at a distance. Most researches use image processing methods to analyze the moving object, while some use the model-based methods. Although some efforts have been devoted to the gait recognition, a high identification rate and a low computational cost still need to be achieved. This paper tends to investigate the gait recognition from the biomechanical point of view, which is lacking in the computer science and electronics communities. We present the method of people recognition by using both three-dimensional parameters of lower limb joints, namely, kinematic parameters (including joint angles and angular velocities) and kinetic parameters (joint forces). Dynamic data are acquired by tracking the maker positions using a motion capture system. 350 trials for 10 subjects are conducted, in which we use 20 trials for each one of these for training and the remaining 15 for testing. Additional 35 trials for another one subject not in the training set are conducted for testing the adventitious people. SOM neuron networks are employed for data classification. The importance of specific joints and variables is discussed in detail to investigate the major factors that cause the differences in human gait through a biomechanical approach. Experimental results show that gait is a reliable feature for individual identification since a high recognition rate can be achieved by choosing the proper joints or dynamic parameters of a gait. It also suggests that some joints and dynamic parameters dominate the differences in the walking style of people, which can be applied to both the biomedical and the computer vision fields.