Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Online Learning Material for Data Science Programming Using 3D Puzzle

154 doi: 10.18178/ijiet.2021. 11.4. 1505  Abstract—In multidimensional data processing, one of the important data structures is a higher-order tensor or a multidimensional array. In general, the processing related to the higher-order tensor is so complicated that we have been developing understanding support tools for it using 3D puzzles from the viewpoint of making students interested. However, although these tools have been tried by students in graduation studies and other some occasions, their introduction into lectures was one issue. Therefore, in this study, we developed a new programming exercise material for the higher-order tensor, which is supposed to be used in data science subjects, by using a 3D puzzle. This learning material is also composed of Microsoft Teams, and students can access the material remotely to learn programming. In this paper, several students actually tried this material. As a result, it was found that the students themselves could create and submit assignment reports by viewing explanatory videos and performing exercises. From this, it is expected that this material will be able to introduce to data science courses, including online use.
Method for classifying sites to Atlantic Rainforest restoration aiming to increase basin’s streamflows

Abstract: We propose a method to classify priority sites for Atlantic Rainforest restoration aiming to increase basin streamflows. The Rainfall Forest to Water Production (RFWP) method uses multicriteria analysis supported by GIS techniques and hydrological modeling. The method was applied to the Itapemirim River Basin, southeastern Brazil. The application of RFWP provided a map of areas with different priority for forest restoration by overlapping standardized numerical criteria with different weights (climatological, soil type/land use, and relief). The results indicated the influence of the wide distribution of the restoration sites on the streamflows. The RFWP proved to be suitable for the spatial analysis of the effect of different restoring areas on streamflows. Based on simulated scenarios, an increase in the native forest cover by restoration up to 27.6% of the basin area is expected to significantly enhance water production. The priority areas where forest restoration could better contribute to increase streamflows were delineated, especially at high altitude and in pastures, which are mostly in degraded conditions.
Growth performance and haematological characteristics of broiler finisher chickens fed palm kernel cake as partial replacement for maize and Soya bean

High feed cost resulting from the use of conventional feed ingredients represents a major challenge in broiler production in South-East Nigeria. Feed constitutes 70% of the cost of production of broiler chickens hence, the replacement of unconventional feed ingredients holds the key to sustainable poultry production. This trial was aimed at determining the optimum inclusion level of palm kernel cake as a partial replacement of soya bean and maize in a broiler finisher diet during a 28-day trial. The PKC was included at 0%, 35%, 40% and 45% of total feed composition and birds were fed ad libitum. A total of one hundred and twenty (120) four week-old broilers were used for the measurements. Birds were allotted to four treatment groups of 10 birds each with three replications in a completely randomized design (CRD). The growth performance and haematological characteristics were evaluated. The results showed significant differences (P<0.05) in the final weight gains, average weight gain and feed conversion ratio but no significant differences was observed in the feed intake. The control diet had the highest average weight gain of 919.20g and 40% PKC inclusion had the least value of 595.47g. At end of the experiment, 6 birds randomly selected from each treatment were fasted overnight and slaughtered for blood samples collection. The results of the haematological parameters indicated significant differences (P<0.05) in the haemoglobin (Hb) concentrations, packed cell volume (PCV), total white blood cell counts (WBC), respectively. Furthermore, the mean cell volume (MCV), mean cell heamoglobin (MCH), mean cell heamoglobin concentration (MCHC) all showed significant variation. However, no significant differences were observed in the red blood cell count (RBC). From this study, it could be concluded that although broiler birds can tolerate high inclusion levels of PKC up to 40%, 35% was the level of inclusion that would result to higher weight gains for optimum productivity.
The effect of interactive storytelling with emotionally charged and neutral word-quests in working memory: An experimental approach.

Recent studies on WM [working memory] capacity have recognized the advantage of interactive storytelling and emotional loads, such as threatening words in recall outcomes. Yet, the combination of the priming technique, which is directly related to the deep semantic process, with the above remains understudied. The purpose of this study is to explore the effect of IPSFP [Interactive Participation of Story Formation through Priming] on WM. Due to the COVID-19 pandemic, the experiment was facilitated with online methods. Out of 108 recruited participants, 54 took part in the experimental IPSFP task. A typed story of 30 sentences ending with a blank word, was provided to them. Each sentence containing 12 words before the blank word, that semantically implied a target-word (15 threatening / 15 neutral) to fill in the blank. After detecting the target-words and filling in the blanks, the participants were asked to recall them. Data were analyzed using 2 (type of story presentation) x 2 (type of stimuli presented) Mixed ANOVA. There is a significant effect of type of presentation on recall where more words were recalled in the priming condition. However, the interaction between type of story presentation and type of stimuli is not statistically significant. Statistical significance, power and effect sizes validate the great influence of priming on WM. In conclusion, the active role of the individual in memory tasks appears to produce higher scores in recall, in contrast to the individual having a passive role. This finding might have implications in teaching techniques and learning methods. Corresponding author : V.Ladas, Mediterranean College, Greece & University of Derby, UK, V.Ladas@mc-class.gr
From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.
Design and Analysis of STATCOM for Reactive Power Compensation using Three Phase Multilevel Inverter

This paper proposes the concept of reactive power compensation with the aid of STATCOM (static synchronous compensators) and three phase multilevel inverter. The classification of multilevel inverters under three major types which are H-bridge inverter, flying capacitors-based inverter and diode clamped multilevel inverter. Among these multilevel inverters, the diode clamped type is stressed in this paper due to its capability to process 3-phase output in the absence of any input. Here the reactive power is compensated using 7-level based multilevel inverter with diode clamps are made utilizing the capacitors banks, diodes and switches which would therefore abates the voltage stresses and harmonics resulting in higher efficiency of the power system. Besides the functioning of multilevel inverter, STATCOM is also utilized to improve the regulation of reactive power flow and thereby, enhances the stability under transient condition of a power system. Subsequently, the compensated seven level output is procured by the sinusoidal PWM technique.
Non-Financial Rewards, Motivation and Employee Performance in Ministry of Internal Affairs (MoIA) – Uganda

The success for any organization is implied in achieving its strategic objective and goal, which is mostly achieved while relying and focusing on motivation level of its employees, and it is nonfinancial rewards that increase intrinsic motivation within employees yet most organizations have been emphasizing extrinsic rewards such as money, which for one reason or the other don’t energize or drives employees for better performance. Therefore, the current research study sought to examine the effect of non-financial rewards on motivation and performance in MoIA. The objective of this research was to examine how motivation out of non-financial rewards impacts employee performance in the MoIA, Uganda. The study adopted a descriptive survey design on a target population of 152 staffs of MoIA, Department of Citizenship and Immigration Control out of which a sample of 110 was drawn using stratified random and purposive sampling techniques. Data was collected from 100 employees by means of a questionnaire supplemented with interviews, descriptive statistics, correlation and regression analysis were used to examine the effects of the variables i.e., non-financial rewards, motivation and performance. The study results showed that, the correlation coefficient between non-financial rewards and motivation was 0.449 with p-value of 0.000 indicating statistically a positive significant relationship while the correlation coefficient between non-financial rewards and performance was 0.175 with p-value of 0.081 showing no positive significant relationship between motivation and performance. This therefore suggests that when there is effective nonfinancial reward management, motivation improves accordingly but motivation doesn’t directly influence performance. The recommendations given for this study therefore, are to help MoIA to review its motivational policy in relation to performance.
Recent Advancements in Rayleigh Scattering-Based Distributed Fiber Sensors

Recently, Rayleigh scattering-based distributed fiber sensors have been widely used for measurement of static and dynamic phenomena such as temperature change, dynamic strain, and sound waves. In this review paper, several sensing systems including traditional Rayleigh optical time domain reflectometry (OTDR), Φ-OTDR, chirped pulse Φ-OTDR, and optical frequency domain reflectometry (OFDR) are introduced for their working principles and recent progress with different instrumentations for various applications. Beyond the sensing technology and instrumentation, we also discuss new types of fiber sensors, such as ultraweak fiber Bragg gratings and random fiber gratings for distributed sensing and their interrogators. Ultimately, the limitations of Rayleigh-based distributed sensing systems are discussed.
Extraction of bio-based glycolaldehyde from wood-derived pyrolysis oils

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Speech Fluency Disorders: A Review of Studies Conducted Over the Past Five Decades (1970-2020)

Background: Speech fluency disorder(SFD), a common disorder is reported in all age groups of people but most commonly in children around the world. Objective: This study aimed to review critically several aspects of SFD, specifically epidemiological parameters, etiological foundations, clinical and treatment perspectives. Methods: Electronic searches of relevant data published (1970-2020) in PubMed, MEDLINE, Google Scholar, and Science Direct databases were made using the Boolean operators and keywords and following iterative process 194 papers selected for this review. Results: Speech fluency disorder presents in a variety of forms including acquired neurogenic and psychogenic stuttering is a complex, challenging neurological disorder. SFD is determined by diverse biopsychosocial and cultural etiologies, commonly afflicts male children at age 2-3 years compared to their counterparts (4:1 ratio). SFD manifests a variety of signs and symptoms, and up to 85% children who stutter improves spontaneously with or without intervention. Childhood developmental stuttering (CDS) persists in 1-2% of adults and persistent developmental stuttering (PDS) is again male-gender condition. Persons who stutter (PWS) are managed by nonpharmacological especially speech therapy and pharmacological interventions in particular Review Article Qureshi et al.; INDJ, 15(1): 1-28, 2021; Article no.INDJ. 63909 2 dopamine antagonists. Gender, early intervention, chronicity, severity, language skills, and comorbid conditions mainly determine the prognosis and outcome of stuttering. Conclusion: Extensive data concerning different perspectives of SFD is published globally, and projected better understanding of most speech disfluencies. Nonetheless, research need to be conducted to develop and provide better quality services to all PWS and to reduce the discrimination against PWS around the world.
COMPARATIVE ANALYSIS OF VARIOUS MEDICAL IMAGE SEGMENTATION METHODOLOGIES IN TEMPORAL ORDER

Medical image processing is a vast and emerging field. By this medical practitioners are able to inquest into structure, functions and pathology of a human body. Basically image processing process comprised of following basic stages: enhancement, segmentation, quantification, registration, visualisation and also involves compression, storage and communication. Medical image processing made it possible to diagnose various dangerous diseases like cancer and tumour at early stage. But extracting correct boundaries of infected region through segmentation is a major challenges. There are many techniques to do the segmentation of medical images like energy based methods, Active contour methods, region based, clustering based, Fuzzy Logic based, Hybrid methods, Markov Random field based models, ANN, deformable models. Also classification of image segmentation methods can be based on generations like first generation implemented region growing algorithms, second generation algorithms implemented uncertainty models, pattern recognitions and clustering based algorithms and third generation implemented Atlas based segmentation and rule based segmentation methods. Researchers basically aim to get a accurate and automatic segmentation technique with up to date software. This papers provides valuable insights into trends of methodologies followed in image segmentation fields along with the major software used at industry level as well as academic level.
Importance of Urban Tourism Planning in Tehran with Economic Approach

In world economic process, tourism plays a critical role and is deemed as a main element of development. One of mostly-used types of tourism is the urban tourism as the beginning of development of this industry, and attracts many tourists per year. This paper studies the urban tourism importance, then the role of urban tourism planning in metropolitan Tehran. The main purpose of this research is the analysis and recognition of position of tourism industry in economic growth and income resources of Tehran. The current research is practical in goal, and descriptiveinferential in the research performance methodology, and the data was collected using the documentary and questionnaire method. Statistical population of this research includes Tehran inhabitants among whom the researcherorganized questionnaire was distributed and collected. Using Cochran Formula, 384 people was chosen as sample of statistical population, and data was analyzed and the statistical tests were used by applying SPSS software. The results indicated that planning for attraction of more tourists and increase of their duration can be effective on economic development of Tehran. In this research, tourism industry includes two important factors, infrastructures and advertisement, which shall be considered as main priority and seriously pursued in Tehran tourism planning.
Nursing humanistic care and realization path for COVID-19 patients in isolation ward

The core content of humanistic care is people-oriented, which realizes nursing goal of helping patients to recover health on the basis of fully affirming human nature and human value. That COVID-19 patients nursing needs to be combined with humanistic care further improves the effectiveness of it in the isolation ward. The study that reviewed correlation theories of nursing humanistic care which clarified the value of humanistic care in COVID-19 patients nursing starting from the exploration of the dimension constitution of nursing humanistic care of COVID-19 patients in isolation ward. It put forward effective realization path of nursing humanistic care of COVID-19 patients, such as emphasizing the principle of people-oriented, strengthening psychological counseling, advocating nursing practice, strengthening the role of medical guidance.
INNOVATION AND PUBLIC SECTOR PERFORMANCE: EVIDENCE FROM LAGOS INTERNAL REVENUE SERVICES

The study examines the effect of innovation (measured by e-assessment and e-payment) on public sector performance (measured by the revenue generation of Lagos Internal Revenue Service ‘LIRS’). The study employs survey research design, through the administration of structured questionnaire to staff of Lagos Internal Revenue Service (LIRS). The population of the study is the 2630 staff of LIRS, and using Yamane sample size determination formula at 95% confidence level and 5 margin of error, a sample size of 347 was obtained. 347 copies of questionnaire were administered to the targeted respondents. However, 241 copies of the questionnaire were returned and found useable, which represent 69.45% return rate. Content validity index and Cronbach Alpha was employed in testing the validity and reliability of the instrument (questionnaire). The findings reveal that assessment (β1=0.477, p-value<0.05) and e-payment (β2=0.840, p-value<0.05) have positive and significant individual and combined effect on public sector performance, particularly the revenue generation of LIRS (Fstat=122.744 *0.000). The adjusted coefficient of determination (adjusted R2) suggested that 81.3% variation in the revenue generation of LIRS is accounted for by e-assessment and e-payment. It can therefore be concluded that the process innovativeness of LIRS, particularly the introduction of e-assessment and e-payment have enhanced the revenue generation of LIRS. It is recommended that public enterprises should enhance their innovativeness, through the introduction of innovative process, which will ease the transactional activities, especially the introduction of internet enabled processes and services, where customers or clients can transact with public enterprises online without visiting the offices of such enterprises.
A CRITICAL DISCOURSE ANALYSIS OF PERSONAL PRONOUNS IN GRETA THUNBERG’S SPEECH

Although the study of personal pronouns in speeches is very popular, only a few studies are conducted to analyze non-political speeches. In spite of Greta Thunberg’s famous and bold speaking manners, none of the researchers are interested to look deeper at speeches delivered by the young activist. In this study, I employ Fairclough’s (1992a) model of Critical Discourse Analysis to examine the use of 102 first-and-second person personal pronouns in her speeches. Forty-seven percent of the pronouns are you and twenty-five percent of the pronouns are we. Furthermore, the high percentage of the occurrence towards you and we shows the characterization of her speeches. It shows both othering strategy and personalization strategy between the speaker and the audience. In addition, the pronouns act both as inclusive and exclusive. The variation of inclusiveness and exclusiveness is highly affected by who the audience is. These findings propound that the use of the same pronouns by the same person acts differently depending on who the audience is.