Frequency Distribution Research Articles

The Role of Recruitment and Selection on Organisational Performance: A Case of National Housing Corporation in Tanzania

This study examines the role of recruitment and selection practices on organisational performance at Tanzania's National Housing Corporation (NHC). Employing a descriptive research design, the study targeted all 76 employees at NHC headquarters across various departments, using census sampling to ensure comprehensive data collection and eliminate bias. Data were gathered through structured questionnaires with closed-ended questions measured on a five-point Likert scale. Analysis involved both descriptive statistics (percentages, frequency distributions, mean, and standard deviations) and inferential statistics (correlation) to examine relationships between independent variables (recruitment and selection, training and development, performance appraisal) and dependent variable (NHC's organisational performance). Findings reveal that recruitment and selection at NHC play a critical role on organisational performance. NHC has a well-communicated recruitment policy with high employee awareness and involvement. Internal advertising of new positions is common, supporting talent retention and growth opportunities. While job applicants generally receive adequate information, some inconsistencies exist. The recruitment process is perceived as transparent, though improvements are possible. NHC is seen as an equal-opportunity employer, but reinforcement is needed in some areas. Employees feel reasonably included in the selection process, which is merit-based with clearly defined criteria. Selected candidates generally fit well with the organisational culture. However, inclusiveness in selection could be enhanced. Recommendations include improving recruitment policy communication, increasing employee engagement, strengthening internal advertising, reinforcing equal opportunity practices, maintaining merit-based selection, ensuring cultural fit, and fostering trust and transparency. These suggestions aim to optimize recruitment and selection practices, thereby enhancing NHC's organizational performance and potentially benefiting other organizations.

Understanding Factors Affecting Inclusions of Students with Disabilities in Higher Education: A Study among Non-Disabled University Students

Inclusive education for people with disabilities is gaining importance globally, with improving factors that support the inclusion of students with disabilities in higher education as a key objective. This study explores how societal and environmental factors shape perceptions of disability, rather than viewing it solely as an individual limitation. A non-probability convenience sampling method was employed, involving 279 university students from six different faculties. Data were analyzed through frequency distribution and SPSS to examine the attitudes of non-disabled students toward the inclusion of their disabled peers in higher education. The findings reveal that environmental barriers are strongly associated with the attitudes of non-disabled students toward their peers with disabilities (r = .693, p < .01), indicating that these barriers significantly impact how students perceive and interact with those who have impairments. The non-disabled students identified specific environmental factors that either support or hinder the inclusion of disabled students in university settings. This research highlights the need for addressing environmental obstacles to foster a more inclusive and supportive educational environment for all students.

MICROTREMOR ANALYSIS IN DETERMINING LANDSLIDE POTENTIAL IN SEMBAHE VILLAGE, SIBOLANGIT DISTRICT, DELI SERDANG REGENCY

Sembahe Village is an area that is highly vulnerable to landslides. This is caused by steep topographic conditions and high rainfall. This research is intended to understand the characteristics and distribution of dominant frequencies, amplification factors and seismic vulnerability index on the possibility of landslides. Microtremor measurements were carried out in Hamlet 3 Sembahe Village at 2 location points which were measured using a portable seismograph / Pegasus for 2 hours with a sampling frequency. 100 Hz. Microtremor data was processed using Geopsy software using the Horizontal to Vertical Spectral Ratio (HVSR) method and each parameter was weighted using the Analytical Hierarchy Process (AHP) statistical method in determining potential landslide areas. The results obtained show that the distribution of dominant frequency values (F0) is 5.36 Hz – 5.33 Hz, amplification (A0) is 1.84 – 1.59, seismic vulnerability index (Kg) is 0.63 x 10-3s2 / cm - 0.47 x 10-3 s2/cm. Based on weight analysis using the AHP statistical method, the location point that has the highest potential for landslides is point 1.

Epidemiological analysis of pediculosis and the distribution of kdr mutation frequency in head lice populations in Torbat Heydarieh city of Khorasan Razavi Province, Northeastern Iran

Head lice infestations are the most prominent ectoparasitic infection in the world, including Iran, particularly among school children. Recently, numerous cases of infestation have been reported in various provinces of the country. This study aimed to investigate the prevalence of head louse infestations and analyze kdr gene sequences in terms of resistance mutations in the Torbat-e Heydarieh, Mahvelat, and Zaveh cities of Khorasan Razavi Province, Northeast Iran. The data related to the epidemiological and demographic history of head lice populations were extracted from their medical records and analyzed in Excel software. After extracting the genomic DNA, the kdr fragment was amplified using specific primers. The sequences were also analyzed using bioinformatics software. The prevalence of head louse infestations was 1.59% and 1.7% during 2016 and 2017, respectively. Sequence analysis revealed the frequency distribution of two kdr haplotypes, I and V, in the study areas. The increase in head louse infestations in recent years and the simultaneous presence of kdr mutations indicate the need for new treatments and monitoring/controlling resistance to head louse insecticides.

Prevalence of psychiatric disorders among the adult population in a rural community of Jammu, India: a cross-sectional study.

Mental health is crucial for overall well-being, but rural areas often face difficulties in accessing mental health services and understanding psychiatric disorders. This study aimed to address these issues by assessing the prevalence of psychiatric disorders among adults in rural Jammu and examining how socio-cultural and demographic factors are related to these disorders. A sample of 1,016 adults from rural Jammu was surveyed using the Mini International Neuropsychiatric Interview (MINI). Data were collected through house-to-house visits conducted by trained investigators. Descriptive and inferential statistics, including frequency distribution and odds ratio, were employed to analyze the data respectively. Overall, 20.67% of the participants had a psychiatric disorder. Alcohol dependence was the most common condition, affecting 12.30% of the individuals, followed by generalized anxiety disorder at 3.14%. The study found significant associations between psychiatric disorders and several factors. Specifically, older people were more likely to have psychiatric disorders, with an odds ratio of 3.7 [2.07-6.59]. Married individuals also had a higher likelihood of experiencing psychiatric disorders (OR: 2.3 [1.55-3.54]). Those with less schooling were at an increased risk, with an odds ratio of 7.77 [2.31-26.09], and people from lower socioeconomic backgrounds were more likely to have these disorders as well (OR: 5.1 [2.4-10.5]). The findings underscore the complex association between socio-demographic factors and mental health outcomes in rural areas of Jammu region. Addressing these disparities requires targeted interventions and policies that account for the unique socio-cultural contexts of rural populations. By understanding the specific challenges faced by these communities, policymakers and healthcare providers can develop more effective strategies to enhance mental health services and promote well-being.

Pengaruh Senam Otak terhadap Fungsi Kognitif pada Lansia di Panti Sosial Tresna Werdha Budi Luhur Provinsi Jambi

The aim of the research was to determine the effect of brain exercises on cognitive function in the elderly at the Tresna Werdha Budi Luhur Social Home, Jambi Province. This type of research is quantitative with a quasi-experimental design approach, pretest-posttest control group design. This research was conducted at the Tresna Werdha Budi Luhur Social Home, Jambi Province.The sampling method was purposive sampling of 22 people. 11 respondents in the control group and 11 respondents in the intervention group. Data measurement uses MMSE. Bivariate analysis used the Wilcoxon Rank Test and the Man Whitney test. The research results showed that the age frequency distribution of respondents was mostly elderly, female, and had elementary school education. The cognitive function of the pretest intervention group was mostly mild and severe cognitive function. The pretest and posttest results showed a significant increase, so that there was an influence of brain exercise on cognitive function in the elderly, with a p value = 0.002 (< 0.05). There was a significant effect of increasing cognitive function before and after being given brain exercises at PSTW. It is hoped that PSTW can develop brain exercises to improve the cognitive function of the elderly.

Comparison of Video and Booklet Media to Improve Parents' Knowledge About Childhood Tuberculosis

Tuberculosis (TB) is a disease caused by the bacteria Mycobacterium tuberculosis. Indonesia is the country with the second largest number of TB cases in the world. Tuberculosis in children cases in Indonesia reached 110,881 and West Sumatra is in sixth place with 2,751 cases. Tuberculosis in children cases are often ignored for various reasons such as lack of parental knowledge about preventing TB in children. Health education through audio-visual media and booklets is one of the efforts made to provide health information about preventing TB in children. The purpose of this study was to see changes in parental knowledge before and after intervention with video and booklet media and to compare the effectiveness of each media. This study used the "Pretest-Posttest Two Group Design" design which was conducted in the Pegambiran Health Center Work Area. The sample consisted of 54 people consisting of 2 groups, namely 27 people in the audio-visual media group and 27 people in the booklet media group. Sampling used the Simple Random Sampling technique. Univariate analysis showed frequency distribution and bivariate analysis used the Wilcoxon rank test and the Mann Whitney test. The results of the study with the Wilcoxon test obtained knowledge before and after audio-visual intervention with a p-value of 0.000 <0.05 and booklet media showed a p-value of 0.000 <0.05. The results of the Mann Whitney test with a p-value of 0.284> 0.05. It can be concluded that there is no difference in the effectiveness of using audio-visual media compared to booklet media in increasing parental knowledge about preventing childhood tuberculosis. It is hoped that the Health Center and related agencies will use audio-visual media and booklets in providing health education about preventing TB in children.

Experimental evaluation on dynamic performance of medium–low-speed maglev vehicle running on low-positioned subgrade

ABSTRACT As a novel urban rail transit system with relatively low construction costs, medium–low-speed maglev transportation is currently experiencing rapid development in China. However, there have been rare studies on the experiments of medium–low-speed maglev vehicle passing curves and low-positioned subgrade. Therefore, this paper systematically conducts on-site dynamic tests on the Qingyuan Maglev Tourism Line. The experiment provides a detailed analysis of the dynamic characteristics of the vehicle system and subgrade under varying speeds up to 132 km/h. The study explores the impacts of operating speed, track layout, and type of girder structure. The results indicate that a significant increase in operating speed and the application of emergency braking intensify the dynamic response of the vehicle system. When passing through the R700m curve and low-positioned subgrade sections at different speeds, the primary vibration frequency of the sprung structure is below 2.5 hz, while the unsprung structure shows a wide frequency distribution. The peak frequencies of the vibration for the low-positioned subgrade are mainly distributed in the 60–140 hz range, and the vibration response of the girder remains at a low level. The Sperling index values, levitation gap, and lateral offset of the levitation electromagnet of the testing vehicle do not exceed 2.5, 4 mm, and 10 mm, respectively, indicating excellent ride comfort and stable levitation performance. The results of this test study provide a reliable assessment of the safety of the vehicle and subgrade system and would help precise modelling of vehicle and subgrade system in the future.

Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms in Turkish postmenopausal women with osteoporosis

Osteoporosis is a common age-related skeletal disease, characterized by changes in the microarchitectural structure of bone tissue and decreased bone mass, especially affecting postmenopausal women. Genetic and environmental factors affecting bone metabolism play a role in the development of osteoporosis. Methylenetetrahydrofolate reductase (MTHFR) is an important enzyme involved in the conversion of homocysteine to methionine. Genetic variations in the MTHFR gene lead to impaired function or inactivation of this enzyme. A decrease in MTHFR enzyme activity and an increase in homocysteine levels affect bone metabolism. In this study, we aimed to investigate the relationship between C677T and A1298C polymorphisms and osteoporosis in Turkish postmenopausal women. DNA samples were extracted from 200 volunteers. The PCR-RFLP technique was used to identify the MTHFR gene polymorphisms C677T and A1298C. The statistical significance of the analysis’s results was assessed. C677T genotype and allele frequency distributions were not statistically different between postmenopausal osteoporosis and healthy control groups (p = 0.249, p = 0.754), while A1298C genotype and allele frequency distributions were found to be statistically significant (p = 0.002, p = 0.013). The results of our study showed that the A1298C polymorphism may be a genetic factor associated with osteoporosis in this specific population. However, the C677T polymorphism did not show a significant connection. To gain a more comprehensive understanding of the genetic basis of osteoporosis, future research with larger sample sizes and the consideration of additional genetic and environmental factors is essential. Additionally, it is crucial to account for ethnic disparities, gene-gene interactions, and gene-environment interplays. These insights can inform the development of personalized preventive and therapeutic strategies for individuals at risk of osteoporosis in diverse populations.

Admission Results and Ratings of Academic Performance of Professional Subjects of the Bachelor of Science in Midwifery Students at GSDMSFI

This study determined the correlation between the academic performance of Midwifery students in their professional subjects and the admission examination during the freshmen academic year. The study determines if there is a significant relationship between admission results and academic performance in different professional subjects. It determines recommendations and interventions that can be made based on the results gathered. The quantitative method was used to emphasize the descriptive-correlational design employed in the research project. The results of 23 students who took the admission test from AY 2017-2023 are the following: most students belong to Stanine 3 which is 11 out of 23. There were no students enrolled with Stanine 5 to Stanine 9. In the frequency distribution of academic performance ratings from AY 2017-2023 of the professional subject M100 course, most students' performance ratings were 2.25, 2.27, and 3.0 which is interpreted as satisfactory and passed. Hence, in the M 101 course most students also a satisfactory rating on the other hand 1 student got the highest grades of 1.5 and 1.75. Additionally, in M102 course had passing and least satisfactory ratings. Likewise in M103, PHC 1 , and PHC 11 wherein most of the students also had a satisfactory passing rate. Using the Spearman’s rank and the p-value , the correlation result between the admission and academic performance rating of BSM students indicates moderately significant.

Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy

This study focuses on the validation of high-resolution regional reanalyses to understand their effectiveness in reproducing precipitation patterns over Italy, a climate change hotspot characterized by coastal sea-land interaction and complex orography. Nine reanalysis products were evaluated, with the ECMWF global reanalysis ERA5 serving as a benchmark. These included both European (COSMO-REA6, CERRA) and Italy-specific (BOLAM, MERIDA, MERIDA-HRES, MOLOCH, SPHERA, VHR-REA_IT) datasets, using different models and parametrizations. The inter-comparison involved determining the effective resolution of daily precipitation fields using wavelet techniques and assessing intense precipitation statistics through frequency distributions. In-situ observations and observational gridded datasets were used to independently validate reanalysis precipitation fields. The capability of reanalyses to depict daily precipitation patterns was assessed, highlighting a maximum radius of precipitation misplacement of about 15 km, with notably lower skills during summer. An overall overestimation of precipitation was identified in the reanalysis climatological fields over the Po Valley and the Alps, whereas multiple products showed an underestimation of precipitations across the North-West coast, the Apennines, and Southern Italy. Finally, a comparison with a time-consistent observational dataset (UniMi/ISAC-CNR) revealed a non-stable deviation from observations in the annual precipitation cumulate of the reanalysis products analyzed. This should be taken into account when interpreting precipitation trends over Italy.

EVALUATION OF INTERNET ACCESS BY STUDENTS AT A FEDERAL EDUCATIONAL INSTITUTION IN NORTHERN BRAZIL

Objective: This study presents the results of assessing Internet access by students at a federal educational institution in northern Brazil. Theoretical Framework: The study's theoretical framework relates information technologies through Internet access to learning. It shows that the more adequate Internet access is in educational institutions' daily routines, the better the students' performance in learning and its developments in technical, scientific, and technological production. Method: The method used was a survey, the population of which consisted of students who attended classes during the three shifts during which the institution operated. The students were consulted through a questionnaire with multiple-choice questions, the results of which were generated using descriptive statistics and presented in frequency tables. Results and Discussion: The findings showed deficiencies in a) the connection attributes, b) insufficient connection about the types of use by students, c) the connection provided is of low quality, and d) there is excess demand about the low institutional supply, especially in the evening shift. Research Implications: This study shows that internet services must be the object of multidisciplinary treatment and cannot represent the exclusive view of ICT professionals or education specialists. Unidisciplinary views prevent several fundamental nuances of institutional core activities from being overlooked. Originality/Value: The research's originality lies in the empirical observation that educational institutions must strategically plan long-term internet provision jointly by ICT professionals, education specialists, teachers, and students.

Impact of Social Media Marketing Activities on Relationship Quality through the Mediating role of Brand Equity

The objective of this investigation is to scrutinize the impression of social media marketing activities on relationship quality, focusing on customer trust and customer satisfaction, through the mediating role of brand equity, which includes brand awareness, brand image, and perceived quality. The present study includes the 384 sample size, out of which only 335 questionnaires responses were received. In the 335 questionnaire answers received 25 were not considered for the data analysis due to extreme abnormal values. Then, 310 questionnaire information were considered. The information was gathered using a digital questionnaire, created and distributed using Google Forms as the platform. The sample was made up of methods for convenience sampling. The intended structure is inspected empirically by employing statistical package for the social science version 26 for normality, reliability, frequency tables, standard deviation, mean and correlation. Then SEM used for hypothesized model. Findings indicate there's is a beneficial effect of social media marketing activities on brand awareness, brand image, perceived quality and relationship quality. Marketers will be able to get useful information from the results about how to employ social media channels to progress customer associations and increase brand equity. When businesses are more cognizant of these elements, they are better able to manage their resources, which ultimately results in increased consumer trust and pleasure.

Estimating the impact of social distance policy in mitigating COVID-19 spread with factor-based imputation approach

AbstractWe identify the effectiveness of social distancing policies in reducing the transmission of the COVID-19 spread. We build a model that measures the relative frequency and geographic distribution of the virus growth rate and provides hypothetical infection distribution in the states that enacted the social distancing policies, where we control time-varying, observed and unobserved, state-level heterogeneities. Using panel data on infection and deaths in all US states from February 20 to April 20, 2020, we find that stay-at-home orders and other types of social distancing policies significantly reduced the growth rate of infection and deaths. We show that the effects are time varying and range from the weakest at the beginning of policy intervention to the strongest by the end of our sample period. We also found that social distancing policies were more effective in states with higher income, better education, more white people, more democratic voters, and higher CNN viewership.

Sliding mode control for finite-time projective synchronisation in distinct Caputo fractional-order delayed neural networks with inconsistent orders

This manuscript delves into the realm of projective synchronisation in delayed neural networks governed by Caputo fractional-order dynamics, addressing the intricate challenges of attaining finite-time synchronisation in networks with distinct structures, functions, and orders. To start, the integration of a compensation controller within the control architecture is examined, aiming to formulate the projection error dynamics. By leveraging projection error system analysis alongside output observation and sliding mode control, a meticulously crafted derivative-based sliding mode surface along with a sliding mode controller are devised, ensuring both convergence and seamless sliding motion. Afterwards, the accessibility of the surface is assessed through relevant lemmas, Caputo derivative characteristics and the Lyapunov direct approach. The subsequent stability of sliding path is corroborated, and indispensable prerequisites for achieving finite-time projective synchronisation are outlined. Furthermore, the establishment of an upper bound for synchronisation time of distinct Caputo fractional-order delayed neural networks (CFDNNs) with inconsistent orders is carried out. Ultimately, simulations on distinct CFDNNs with consistent and inconsistent orders are conducted to exemplify our approach, employing the continuous frequency distribution model.

Frequency distribution of different joint slopes containing ceramic soil under seismic wave action

The dynamic response characteristics of high and steep slopes under the action of earthquakes and blasting was focused on, especially the frequency distribution and propagation laws, which are crucial for slope stability assessment. Using stress wave theory as the theoretical basis and advanced FLAC3D numerical simulation technology, we systematically analyze the frequency response of slope under different joint conditions under seismic waves. The nonlinear characteristics of reflected P-wave coefficient and the significant sensitivity of joint to incident wave frequency are revealed when the Angle of incident P-wave changes. The results show that with the increase of the incidence Angle of the incident P-wave, the reflection coefficient of the reflected P-wave decreases slowly at first and then increases sharply to 1.0. The reflection coefficient of the wave at the joint is more sensitive to the frequency of the incident wave. In a biplanar rock mass, multiple reflections of waves between structural planes produce transmitted waves with different time differences.

The Influence of Organizational Climate and Motivation on Employee Performance at The District Health Office Garut

The purpose of this study was to determine and analyze (1) organizational climate; (2) work motivation; (3) employee performance; (4) the effect of organizational climate and motivation on employee performance at the Garut Regency Health Office, both simultaneously and partially. The method used in this research is in accordance with the expected objectives, namely descriptive and verification methods. The unit of analysis in this study was the employees of the Garut Regency Health Office, with a sample of 51 people and the analysis method used is frequency distribution and path analysis. Based on the results of the analysis, it is found that the Organizational climate at the Garut Regency Health Office is quite conducive; employees of the Garut Regency Health Office have a high level of motivation; employees of the Garut Regency Health Office have a high performance. Employees of the Garut Regency Health Office have a fairly high performance and organizational climate and motivation affect the performance of employees of the Garut Regency Health Office. However, when viewed partially, it turns out that organizational climate is more dominant in influencing employee performance than motivation. Organizational climate dominantly influences employee performance rather than motivation, therefore the Garut Regency Health Office is required to prioritize improvements in the organizational climate of employees by carrying out continuous bureaucratic reform.

Physical Distribution Practices and Marketing Performance of Selected Fast Moving Consumer Goods Companies in South-South Region of Nigeria

This study was designed to investigate the influence of physical distribution practices (transportation management, warehousing management, communication and information systems, and order processing) on the marketing performance of selected fast-moving consumer goods (FMCG) companies in the south-south region of Nigeria. The survey research design approach was adopted using a structured questionnaire to collect data from 247 selected FMCG sales representatives involved in the distribution of FMCG products in the south-south region of Nigeria. Stratified random sampling was employed. The data gathered was analysed using percentages and frequency tables. The formulated hypotheses were tested using a multiple regression approach. Findings from the study revealed a strong positive influence between the independent variables (transportation management, warehouse management, communication and information systems, and order processing management) and the dependent variable (marketing performance). The researchers suggest that FMCG companies should prioritise transportation management to facilitate better and more efficient movement of goods and people, thereby improving their marketing performance. Given the limitations of this study, the researchers presented practical implications and directions for future research.

PARENTAL INVOLVEMENT IN TRAINING ON THE TRANSITIONING OF LEARNERS WITH INTELLECTUAL DISABILITY FROM SCHOOL TO EMPLOYMENT IN NAIROBI CITY COUNTY, KENYA

This study sought to investigate parental involvement and transitioning of learners with intellectual disabilities from school to employment in Nairobi City County, Kenya. The study utilized a descriptive survey research design. The study targeted 5 SNE centers, 65 SNE teachers, 5 head teachers and 900 parents with learners with ID. Purposive sampling was used to obtain the 5 SNE centers, 65 SNE teachers and 5 head teachers who were used for the study, while stratified sampling techniques were used to obtain 90 parents to participate in the study. Questionnaires for SNE teachers, interview schedules for head teachers, and focus group discussions for parents were administered for primary data collection. The validity and reliability of the instruments was ascertained through pilot testing. Data collected was subjected to Statistical Packages for Social Sciences (SPSS) version 27 for analysis and presented using frequency tables, percentages and figures. The study findings revealed concerning gaps and challenges. Teachers expressed mixed perceptions regarding parental understanding of ID needs (11.3% strongly disagreeing, 16.1% disagreeing, 27.4% unsure, 33.9% agreeing, 11.3% strongly agreeing). Similarly, there were discrepancies in perceptions of parental involvement in training programs (11.3% strongly disagreeing) and satisfaction with communication about transition (22.6% strongly disagreeing). The study concluded that parental involvement is critical in supporting the successful transition of learners with ID from school to employment. The dissatisfaction expressed by teachers regarding the overall collaboration and transition planning process indicates a clear need for schools to enhance communication strategies, establish structured engagement opportunities, and provide more support for parental involvement. The study recommended that school administrators should promote inclusive policies that mandate schools to engage parents as equal partners in the identification and planning processes for learners with ID. Provide resources and training for educators to facilitate effective collaboration with parents, ensuring that transition plans are tailored to meet each child's unique needs. The Ministry of Education, through quality assurance, should conduct training sessions for educators focused on effective communication strategies with parents of learners with ID. These sessions should emphasize the importance of clear, accessible, and culturally sensitive communication.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0735/a.php" alt="Hit counter" /></p>

Automatic activity-travel sequence generator using language, grammar, and machine theory

ABSTRACT Activity schedule results from a complex decision-making process characterized by several interrelated decisions. Different facets of an activity schedule such as activity type, timing, duration, etc. influence each other and this makes modeling activity schedules a complex task. This complexity has compelled researchers to explore different approaches for modeling activity schedules, among which two predominant approaches can be identified: the utility-maximization theory based econometric approach and the computational process modeling approach. Despite their advantages and a few successful practical applications, challenges still remain leaving avenues for exploration of new approaches. This paper contributes in this direction by reviewing the relationship between language, grammar, and machines in the context of sequence analysis for activity sequence generation. Following that, the paper presents a stochastic Finite State Machine that can generate activity sequences to match the frequency distribution of sequences from a given data set. Our results show that the proposed algorithm can not only generate activity sequences with a distribution similar to that of original data but can also efficiently generate new patterns not in the original data.