Search results for: urban training circuits

Authors: Osama Elgadi, Martin Birkett, Wai Ming Cheung

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This paper investigates the barriers behind the underutilisation of six sigma in Libyan manufacturing companies (LMCs). A mixed-method methodology is proposed, starting by conducting interviews to collect qualitative data followed by the development of a questionnaire to obtain quantitative data. The focus of this paper is on discussing the findings of the interview stage and how these can be used to further develop the questionnaire stage. The interview results showed that only four key barriers were highlighted as being encountered by LMCs. With a difference in terms of their significance, these factors were identified, and placed in descending order according to their importance, namely: “Lack of top management commitment”, “Lack of training”, “Lack of knowledge about six sigma”, and “Culture effect”. The findings also showed that some barriers which, were found in previous studies of six sigma implementation were not considered as barriers to LMCs but can, in fact, be considered as success factors or enablers for six sigma adoption. These factors were identified as: “sufficiency of time and financial resources”; “customers unsatisfied”; “good communication between all departments in the company”; “we are certain about its results and benefits to our company and unhappy with the current quality system”. These results suggest that LMCs face fewer barriers to adopting six sigma than many well-established global companies operating in other countries and could take advantage of these successful factors by developing and implementing a six sigma framework to improve their product quality and competitiveness.

Keywords: six sigma, barriers, Libyan manufacturing companies, interview

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Authors: Alvaro Aguinaga, Carlos Avila, Edgar Cando

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This article proposes a n-layer architecture, with a web client as a front-end, for the development of a virtual platform for process simulation on CNC machines. This Open-Source platform includes a CAD-CAM interface drawing primitives, and then used to furnish a CNC program that triggers a touch-screen virtual simulator. The objectives of this project are twofold. First one is an educational component that fosters new alternatives for the CAD-CAM/CNC learning process in undergrad and grade schools and technical and technological institutes emphasizing in the development of critical skills, discussion and collaborative work. The second objective puts together a research and technological component that will take the state of the art in CAD-CAM integration to a new level with the development of optimal algorithms and virtual platforms, on-line availability, that will pave the way for the long-term goal of this project, that is, to have a visible and active graduate school in Ecuador and a world wide Open-Innovation community in the area of CAD-CAM integration and operation of CNC machinery. The virtual platform, developed as a part of this study: (1) delivers improved training process of students, (2) creates a multidisciplinary team and a collaborative work space that will push the new generation of students to face future technological challenges, (3) implements industry standards for CAD/CAM, (4) presents a platform for the development of industrial applications. A protoype of this system was developed and implemented in a network of universities and technological institutes in Ecuador.

Keywords: CAD-CAM integration, virtual platforms, CNC machines, multi-layer based architecture

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Authors: Joachim Onyike

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The Federal Government of Nigeria in 2012 came up with a new National Housing Policy; one of its major objectives was to make housing affordable to the poor. Six years down the line, this study was carried out to find out whether the poor have fared better under the new housing policy. Owerri, the capital of Imo State, was adopted as a case study to mirror the situation nationwide. The study population was made up of low-income civil servants, i.e., grade levels 1–6 in the Imo State Civil Service. The study looked at household size, household income, rental levels, house prices, costs of major building materials, land values, land tenure, the interest rate on mortgages, inflation rate, and the status of government interventions, owing to their obvious effect on housing affordability by the low-income earners. The study made use of physical observations, questionnaires, and interviews as well as library studies to elicit relevant information. Housing affordability by the subject population did not improve. It rather dropped. The study came to the conclusion that in spite of the new National Housing Policy, housing affordability by the low-income earners has not improved. The policy as it affects the poor has not been duly implemented by both Federal and State Governments.

Keywords: house prices, housing affordability, housing policy, land values, low-income earners

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Authors: Mona Francesca B. Dela Cruz, Katrina Marie R. Mamaril, Mariah Hannah Kassandra Salazar, Emerald Jay D. Ilac

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One key factor that should be considered when determining sustainable solutions to various environmental problems is the potential impact of individual human beings. In order to understand an individual, there is a need to examine cognitive, emotional, dispositional, and behavioral factors which are all indicative of one’s environmental consciousness. This quantitative study explored the moderated mediation between environmental consciousness, socio-economic status, social norms as a mediator, and the perceived role of government as a moderator for 381 Filipinos, aged 25 to 65, in urban and suburban settings. Results showed social norms do not have a mediating effect between socio-economic status and environmental consciousness. This may be influenced by the collectivist culture of the Philippines and the tendency for people to copy behaviors according to the descriptive norm effect. Meanwhile, there exists a moderating effect of the perceived role of government between the relationship of social norms and environmental consciousness which can be explained by the government’s ability to impose social norms that can induce a person to think and act pro-environmentally. Practical applications of this study can be used to tap the ability of the government to strengthen their influence and control over environmental protection and to provide a basis for the development of class-specific environmental solutions that can be done by individuals depending on their socioeconomic status.

Keywords: environmental consciousness, role of government, social norms, socio-economic status

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Authors: Naduni Ranasinghe

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E-learning environments are getting more popular than any other due to the impact of COVID19. Even though e-learning is one of the best solutions for the teaching-learning process in the academic process, it’s not without major challenges. Nowadays, machine learning approaches are utilized in the analysis of how behavioral factors lead to better adoption and how they related to better performance of the students in eLearning environments. During the pandemic, we realized the academic process in the eLearning approach had a major issue, especially for the performance of the students. Therefore, an approach that investigates student behaviors in eLearning environments using a data-intensive machine learning approach is appreciated. A hybrid approach was used to understand how each previously told variables are related to the other. A more quantitative approach was used referred to literature to understand the weights of each factor for adoption and in terms of performance. The data set was collected from previously done research to help the training and testing process in ML. Special attention was made to incorporating different dimensionality of the data to understand the dependency levels of each. Five independent variables out of twelve variables were chosen based on their impact on the dependent variable, and by considering the descriptive statistics, out of three models developed (Random Forest classifier, SVM, and Decision tree classifier), random forest Classifier (Accuracy – 0.8542) gave the highest value for accuracy. Overall, this work met its goals of improving student performance by identifying students who are at-risk and dropout, emphasizing the necessity of using both static and dynamic data.

Keywords: academic performance prediction, e learning, learning analytics, machine learning, predictive model

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Authors: Saeed Wahass

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Objective: Obesity is epidemic, affecting all societies and cultures. Most serious medical illnesses are attributed to obesity. For this reason, all healthcare systems worldwide have focused on obesity for both intervention and prevention. However, there is scientific evidence supporting that obesity is treatable through implementing different modalities of interventions. They include biological interventions like medications and bariatric surgeries and behavioral interventions. It seems healthcare professionals may suggest the quick and the easiest interventions for obesity like surgery, ignoring other modesties that might require efforts from their sides and patients as well. Searching on the onset, progression and prevention, behavior plays a major role. As a result, psychological interventions have become increasingly core for intervention and prevention of obesity. They are effective and cost effective in dealing with obesity. Methods: A questionnaire describing the role of behavior on obesity and the way it can be prevented and treated was distributed to a group of health professionals who are dealing with obesity e.g. bariatric surgeons, bariatric physicians, psychologists, health educators, nurses and social workers. Results: 88% of healthcare professionals believed that behavior plays a major role on the onset and progression of obesity, 95% of them recognized that obesity can be prevented with consideration for behavior factors. A major proportion (87%) of the respondents see that psychological interventions are effective and cost effective in treating obesity. Conclusions: It optimistically appears that the majority of healthcare professionals believe that behavior is a key component in understanding, preventing and treating obesity. This outcome may help in developing specific training courses for healthcare professionals, who are dealing with obesity concerning the way they can treat patients behaviorally and, moreover, educating the community.

Keywords: behavior, obesity, healthcare provider, psychological interventions

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Authors: Ece Kaya

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Industrial heritage reflects the traces of an industrial past that have contributed to the economic development of a country. This heritage should be included within the scope of preservation to remind of and to connect the city and its inhabitants to the past. Through adaptive conservation, industrial heritage can be reintroduced into contemporary urban life, with suitable functions and unique identities sustained. The conservation of industrial heritage should protect the material fabric of such heritage and maintain its cultural significance. Emphasising the historical and cultural significance of industrial areas, this research argues that industrial heritage is primarily impacted by political and economic thinking rather than by informed heritage and conservation issues. Waterfront redevelopment projects create similar landscapes around the world, transforming industrial identities and cultural significances. In the case of The Rocks and Darling Harbour, the goal of redevelopment was the creation of employment opportunities, and the provision of places to work, live and shop, through tourism promoted by the NSW State Government. The two case study areas were pivotal to the European industrial development of Sydney. Sydney Cove was one of the largest commercial wharves used to handle cargo in Australia. This paper argues, together with many historians, planners and heritage experts, that these areas have not received the due diligence deserved in regards to their significance to the industrial history of Sydney and modern Australia.

Keywords: industrial heritage, post-industrial city, transformation of waterfronts, tourism, consumption

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Authors: Nikolas Aasheim, Laura Sakalauskaitė, Julie Dubois, Malina Ploug Larsen, Paul Michael Petersen, Marcus S. Carstensen, Marcus S. Carstensen, Mai Nguyen, Line Katrine Harder Clemmensen, Kamilla Miskowiak, Klaus Martiny

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Background: Major depressive disorder (MDD) is a debilitating condition that affects more than 300 million people worldwide and profoundly impacts well-being and health. Current treatments are based on a trial-and-error approach, and reliable biomarkers are needed for more informed and personalized treatment solutions. One potential biomarker is aberrant gamma-frequency (30-80 Hz) brainwaves, hypothesized to originate from deficiencies in the excitatory-inhibitory interaction between the pyramidal cells and interneurons. An imbalance within this interaction is described as a crucial pathological mechanism in various neuropsychiatric conditions, including MDD, and the modulation of this pathological interaction has been investigated as a potential target. A specific type of steady-state visually evoked potential (SSVEP) in the gamma frequency band, referred to as gamma entrainment using sensory stimuli (GENUS), particularly around the 40Hz spectrum, entrains large scale, fast-spiking PV+ interneurons, facilitating coordinated activity in key brain regions, reduced neuronal and synaptic loss, and enhanced synaptic stability and plasticity. GENUS has shown promise in improving sleep, offering neuroprotective effects in Alzheimer's disease (AD), and reducing pathological markers like Amyloid Beta and TAU proteins, as seen in animal models. In this study, we explore the antidepressant, cognitive, and electrophysiological effects of a novel, non-invasive brain stimulation (NIBS) approach utilizing a 40 Hz invisible spectral flicker to induce gamma activity in patients diagnosed with Major Depressive Disorder (MDD). This non-invasive targeted stimulation of lower gamma band activity (40 Hz) is designed to modulate neural circuits associated with mood and cognitive functions, providing a potential new therapeutic avenue for MDD. Methods and Design: 60 patients with a current diagnosis of a major depressive episode will be enrolled in a randomized, double-blinded, placebo-controlled trial. The active treatment group will receive 40 Hz invisible spectral flickering light stimulation while the control group will receive continuous light matched in colour temperature and brightness. Patients in both groups will get an hour of daily light treatment in their own homes and will attend four follow-up visits to assess depression severity measured by Hamilton Depression Rating Scale (HAM-D₆), several aspects of sleep, cognitive function, quality of life. Additionally, exploratory EEG is conducted to assess spectral changes throughout the protocol. The primary endpoint is the mean change from baseline to week 6 in depression severity (HAM-D₆ subset) between the groups. Current state of affairs/timeline: The FELIX study was initiated in the beginning of 2022, planning to reach stage of publication in December 2025. 21 participants have been enrolled in the protocol thus far, expecting to be finished with trials and recruitment by the end of 2024.

Keywords: major depressive disorder, gamma, neurostimulation, EEG

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Authors: Okpanachi Linus Odiji, Chris Ogwu Attah

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Election is no doubt widely assumed as one of the most suitable means of resolving political quagmires even though it has never been bereft of conflict which can manifest before, during, or after polls. What, however, advances democracy and promotes electoral integrity is the existence and effectiveness of institutional frameworks for electoral conflict management. Electoral conflicts are no doubt unique in the sense that they represent the struggles of people over the control of public resources. In most cases, the stakes involved are high and emotional that they do not only undermine inter-group relationship but also threaten national security. The need, therefore, for an effectively functional conflict management apparatus becomes imperative. While at the State level, there exist numerous governmental initiatives at various electoral stages aimed at managing conflicts, this paper examines the activities of the mass media, which is another prominent stakeholder in the electoral process. Even though media influence has increased tremendously in the last decade, researchers are yet to agree on its utility in the management of conflicts. Guided by the social responsibility theory of media reporting and drawing data from observed trends in Kogi state, the paper, which context analyses the 2019 gubernatorial election coverage in the state, observes both conflict escalation and de-escalation roles in the media. To mitigate conflict reporting misrepresentation, therefore, a common approach to conflict reporting should be designed and ordered by the National Broadcasting Commission as well as the Nigerian Press Council. This should be garnished with the training of journalists on conflict reporting and development of a standard conflict reporting procedure.

Keywords: conflict management, electoral conflict, mass media, media reporting

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Authors: Mohammad Shoaib Khan, Abdul Sattar Bahalkani

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This research investigates the violence and their impact on SMEs in Sindh. The main objective of current research is to examine the women empowerment through women participation in small and medium enterprises in upper Sindh. The data were collected from 500 respondents from Kandhkot District, by using simple random technique. A structural questionnaire was designed as an instrument for measuring the impact of SMEs business in women empowerment in rural Sindh. It was revealed that the rural women is less confident and their husbands were always given them hard time once they are exposing themselves to outside the boundaries of the house. It was revealed that rural women have a major contribution in social, economic, and political development. It was further revealed that women are getting low wages and due to non-availability of market facility they are paying low wages. The negative impact of husbands’ income and having children at the age of 0-6 years old are also significant. High income of other household member raises the reservation wage of mothers, thus lowers the probability of participation when the objective of working is to help family’s financial need. The impact of childcare on mothers’ labor force participation is significant but not as the theory predicted. The probability of participation in labor force is significantly higher for women who lived in the urban areas where job opportunities are greater compared to the rural.

Keywords: empowerment, violence against women, SMEs, rural

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Authors: Abidoye James Alabi

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This study investigated the effect of video-based instructional strategy on junior secondary school academic achievement in social studies. The influence of gender on the academic achievement of student taught with video-based instructional strategy was also examined. The study adopted a pre-test and pro-test control group quasi-experimental design. Simple random sampling technique was used to select 40 students from two schools in Akure town in Ondo State. The researcher developed instructional video package on social studies concept which was used as treatment instrument for the experimental group while the control group was exposed to conventional teaching method. The instruments used in this study are social studies achievement test and instructional video package (IVP). T-test statistic was used to analyse the hypotheses. The findings revealed that experimental group performed better than the control group. It was also shown that gender has no significant effect on students’ academic achievement when exposed to an instructional video package. It was recommended that appropriate training and workshop should be organized by the government for the social studies teachers for effective use of instructional video package in order to enhance teachers productivities and learning among students in secondary schools.

Keywords: instructional video package, conventional teaching method, social studies, junior secondary school

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Authors: Norazharuddin Shah Abdullah, Harshita Aini Haroon, Norazian Mohmad Azman, Erlane K. Ghani, Ismie Roha Mohamed Jais, Kamaruzzaman Muhammad, Azleen Ilias

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This study examines the factors that influence academics' decisions to accept or decline leadership roles in Malaysian universities. A questionnaire survey was distributed to a total of 1771 academics from public and private institutions in Malaysia. This study shows that the majority of academics in universities, regardless of whether they are public or private, have a reluctance to take on administrative roles. In particular, this study shows that female academics in public universities have no ambition for administrative roles, while female academics in private universities show a strong enthusiasm for taking up administrative positions. In terms of age, academics of all age groups made comparable choices, but academics who are under 30 years old have a greater propensity to aspire to an administrative position. Associate professors at private universities also opt for an administrative position. The factors that influence academics' decisions to accept or decline an administrative position are categorised into five categories: career development, skills and experience, preferences, perceptions, and organization. The findings of this study suggest that the increasing number of academics not seeking institutional leadership positions is a concern, as universities need a sufficient pool of potential successors to effectively fulfil the purpose and vision of the university. This study suggests the implementation of awareness and training initiatives to inspire academics, especially young academics, to take up leadership roles within the institutions.

Keywords: academics, institutional leadership, leadership, universities, Malaysia

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Authors: Navodita Mishra, T. J. Kamalanabhan

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The primary purpose of this study was to identify the antecedents of sport commitment among cricket players and to understand demographic variables that may impact these factors. Commitment towards one’s sport play a crucial role in determining discipline and efforts of the player. Moreover, demographic variables would seem to play an important role in determining which factors or predictors have the greatest impact on commitment level. This study hypothesized the effect of demographic factors on sport commitment among cricket players. It attempts to examine the extent to which demographic factors can differentially motivate players to exhibit commitment towards their respective sport. Questionnaire survey method was adopted using purposive sampling technique. Using Multiple Regression, ANOVA and t-test, the hypotheses were tested based on a sample of 350 players from Cricket Academy. Our main results from the multivariate analysis indicated that (1) enjoyment and leadership of coach and peer affect the level of commitment to a greater extent whereas (2) personal investment is a significant predictor of commitment among rural background players Moreover, level of sport commitment among players is positively related to household income, the rural background players participate in sports to a greater extent than the urban players, there is no evidence of regional differentials in commitment but age differences (i.e. U-19 vs. U-25) play an important role in the decision to continue the participation in sports.

Keywords: individual sport commitment, social factors, demographic factors, cricket

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Authors: Siddharth Sarma, Ayush Majumdar, Nidhi Sabu, Mufaddal Jiruwaala, Shilpa Paygude

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Digital Elevation Models (DEMs) are digital representations of the Earth’s topography, which include information about the elevation, slope, aspect, and other terrain attributes. DEMs play a crucial role in various applications, including terrain analysis, urban planning, and environmental modeling. In this paper, TerraEnhance is proposed, a distinct approach for high-resolution DEM generation using Generative Adversarial Networks (GANs) combined with Real-ESRGANs. By learning from a dataset of low-resolution DEMs, the GANs are trained to upscale the data by 10 times, resulting in significantly enhanced DEMs with improved resolution and finer details. The integration of Real-ESRGANs further enhances visual quality, leading to more accurate representations of the terrain. A post-processing layer is introduced, employing high-pass filtering to refine the generated DEMs, preserving important details while reducing noise and artifacts. The results demonstrate that TerraEnhance outperforms existing methods, producing high-fidelity DEMs with intricate terrain features and exceptional accuracy. These advancements make TerraEnhance suitable for various applications, such as terrain analysis and precise environmental modeling.

Keywords: DEM, ESRGAN, image upscaling, super resolution, computer vision

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Authors: Kevin William Taylor

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This work used industry-standard practices and technologies as a foundation to explore current and future advancements in modularity for 3D environmental production. Covering environmental generation, and AI-assisted generation, this study investigated how these areas will shape the industries goal to achieve full immersion within augmented reality environments. This study will explore modular environmental construction techniques utilized in large scale 3D productions. This will include the reasoning behind this approach to production, the principles in the successful development, potential pitfalls, and different methodologies for successful implementation of practice in commercial and proprietary interactive engines. A focus will be on the role of the 3D artists in the future of environmental development, requiring adaptability to new approaches, as the field evolves in response to tandem technological advancements. Industry findings and projections theorize how these factors will impact the widespread utilization of augmented reality in daily life. This will continue to inform the direction of technology towards expansive interactive environments. It will change the tools and techniques utilized in the development of environments for game, film, and VFX. This study concludes that this technology will be the cornerstone for the creation of AI-driven AR that is able to fully theme our world, change how we see and engage with one another. This will impact the concept of a virtual self-identity that will be as prevalent as real-world identity. While this progression scares or even threaten some, it is safe to say that we are seeing the beginnings of a technological revolution that will surpass the impact that the smartphone had on modern society.

Keywords: virtual reality, augmented reality, training, 3D environments

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Authors: Sa-Kil Kim, Jang-Soo Lee

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On March 31, 1993, a severe fire accident took place in a nuclear power plant located in Narora in North India. The event involved a major fire in the turbine building of NAPS unit-1 and resulted in a total loss of power to the unit for 17 hours. In addition, there was a heavy ingress of smoke in the control room, mainly through the intake of the ventilation system, forcing the operators to vacate the control room. The Narora fire accident provides us lessons indicating that operators could lose their mind and predictable behaviors during a fire. After the Fukushima accident, which resulted from a natural disaster, unanticipated external events are also required to be prepared and controlled for the ultimate safety of nuclear power plants. From last year, our research team has developed a test and evaluation facility that can simulate external events such as an earthquake and fire based on the operators’ real-sense. As one of the results of the project, we proposed a unit real-sense-based facility that can simulate fire events in a control room for utilizing a test-bed of human factor validation. The test-bed has the operator’s workstation shape and functions to simulate fire conditions such as smoke, heat, and auditory alarms in accordance with the prepared fire scenarios. Furthermore, the test-bed can be used for the operators’ training and experience.

Keywords: human behavior in fire, human factors validation, nuclear power plants, real-sense-based fire simulation

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Authors: Laila Al-Balushi, Suad Al-Kharosui

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Due to the increasing number of breast cancer cases in Oman and the impact of the novel coronavirus disease 2019 (COVID-19 on bed situation in the hospital, a policy of early discharge (ED) with drain after breast cancer surgery was initiated at one of the tertiary hospitals in Oman. The uniqueness of this policy is no home visit follow-up, conducted after discharge and the main mode of communication was Instagram media. This policy then was evaluated by conducting a quasi-experimental study using a questionnaire with ten open and closed-ended questions, five questions to explore patient experience using a five-point Likert scale. A total of 41 female patients responded to the questionnaire. Almost 96% of the participants stated being well informed about drain care pre- and post-surgery at home. 9% of the participants developed early sign of infection and was managed at out-patient clinics. Participants with bilateral drains expressed more pain than those with single drain. 90% stated satisfied being discharged with breast drain whereas 10% preferred to stay in the hospital until the drains were removed. This study found that the policy of ED with a drain after BC surgery is practical and well-accepted by most patients. The role of breast nurse and presence of family and institutional support enhanced the success of the policy implementation. To optimize patient care, conducting a training program by breast nurse for nurses at local health centres about care management of patients with drain could improve care and enhance patient satisfaction.

Keywords: breast cancer, surgery, early discharge, surgical drain

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Authors: Islam Abou El-Magd, Elham Ali, Ali Amasha

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Earthquakes strike without warning and cause widespread damage to social and economic infrastructures and creating life losses. These can neither be predicted nor prevented in terms of their magnitude, place, and time of occurrence. It is a global phenomenon that creates nearly 18% of life losses and nearly 35% of economic damage. The coastal zone of Egypt is considered low to medium risk, however, there is a record of high magnitude earthquakes that created Tsunami in the past. The northern coastal zone of Egypt is under the force of tension shear zones of African and European plates that have considerable earthquakes with variable degrees. This research studied the earthquakes in the last 65 years in the Mediterranean Basin in relation to the geotectonic shear zones. 85% of these earthquakes are in the marine that might create Tsunami. Aegean and Anatolia shear zones are the highest contributors of the earthquakes with nearly 37% and 36% respectively. However the least one is the Arabia zone with 1%, and Africa is about 26%. The research proposed three scenarios for the socioeconomic hazards, earthquakes with Tsunami that will destroy one fifth of the economic infrastructures with unpredictable life losses. The estimated cost of recovery of such losses is nearly 400B USD. The second scenario is earthquake without Tsunami that will impact the major urban and infrastructures. The last scenario is tidal gauges events that threaten the low-lying areas particularly the eastern side which has major land subsidence.

Keywords: natural hazards, earthquakes, tusnami, Nile delta, Egypt

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Authors: Z. I Jeeva

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The establishment of municipalities in South Africa has been a long and difficult process; 25 years later, it still appears to be evolving. In 1994, the new democratic government undertook to restructure the country’s racially segregated administrative structure by integrating areas to form cohesive municipal entities that would allow for the more efficient administration management of the regions. It planned to achieve this within a short seven-year period from 1993 to 2000, which was to be divided into three phases, namely, the pre-interim phase from 1994 to1995, the interim phase from 1996 to 1999, and the post-interim phase from 2000 onwards. However, the extensive integrated municipal approach was easier to pen on paper than to implement in practice. This paper seeks to explore the South African spatial reform process from 1993 to 2020, by analyzing policy documents and literature in order to determine how exactly the government attempted to achieve this. The study found that the spatial restructuring process was particularly complex since the democratic government inherited an unequal society located on a fragmented spatial landscape of which there was limited knowledge with many unresolved issues. Furthermore, the study found that there is a lack of literature on the topic from an urban planning perspective and calls for further research to ensure the formation of more efficient administrative regions.

Keywords: categorization, demarcation, municipalities, racial integration, spatial reform

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Authors: Zehai Yu, Hui Zhu, Linglong Lin, Huawei Liang, Biao Yu, Weixin Huang

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With the development of intelligent vehicle systems, a high-precision road map is increasingly needed in many aspects. The automatic lane lines extraction and modeling are the most essential steps for the generation of a precise lane-level road map. In this paper, an automatic lane-level road map generation system is proposed. To extract the road markings on the ground, the multi-region Otsu thresholding method is applied, which calculates the intensity value of laser data that maximizes the variance between background and road markings. The extracted road marking points are then projected to the raster image and clustered using a two-stage clustering algorithm. Lane lines are subsequently recognized from these clusters by the shape features of their minimum bounding rectangle. To ensure the storage efficiency of the map, the lane lines are approximated to cubic polynomial curves using a Bayesian estimation approach. The proposed lane-level road map generation system has been tested on urban and expressway conditions in Hefei, China. The experimental results on the datasets show that our method can achieve excellent extraction and clustering effect, and the fitted lines can reach a high position accuracy with an error of less than 10 cm.

Keywords: curve fitting, lane-level road map, line recognition, multi-thresholding, two-stage clustering

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Authors: Fazlul Hoque, Tahmina Akter Joya, Asma Akter, Supawat Rungsuriyawiboon

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Rice is the staple food in Bangladesh, and therefore, self-sufficiency in rice production remains a major concern. However, Bangladesh is experiencing insufficiency in rice production due to high production cost and low national average productivity of 2.848 ton/ha in comparison to other rice-growing countries in the world. This study aims to find out the profit efficiency and determinants of profit efficiency in Boro rice cultivation in Manikganj and Dhaka districts of Bangladesh. It also focuses on technology adoption and effect of technology adoption on profit efficiency of Boro rice cultivation in Bangladesh. The data were collected from 300 households growing Boro rice through face to face interviews by one set structured questionnaire; Frontier Version 4.1 and STATA 15 software were employed to analyze the data according to the purpose of the study. Maximum likelihood estimates of the specified profit model showed that profit efficiency of the farmer varied between 23% and 97% with a mean of 76% which implied as 24% of the profit is lost due to a combination of technical and allocative inefficiencies in Boro rice cultivation in the study area. The inefficiency model revealed that the education level of the farmer, farm size, variety of seed, and training and extension service influence the profit inefficiency significantly. The study also explained that the level of technology adoption index affects profit efficiency. The technology adoption in Boro rice cultivation is influenced by the education level of the farmer, farm size and farm capital.

Keywords: farmer, maximum likelihood estimation, profit efficiency, rice

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Authors: Alexander Wachtel, Michael T. Franzen, Walter F. Tichy

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Programming requires years of training. With natural language and end user development methods, programming could become available to everyone. It enables end users to program their own devices and extend the functionality of the existing system without any knowledge of programming languages. In this paper, we describe an Interactive Spreadsheet Processing Module (ISPM), a natural language interface to spreadsheets that allows users to address ranges within the spreadsheet based on inferred table schema. Using the ISPM, end users are able to search for values in the schema of the table and to address the data in spreadsheets implicitly. Furthermore, it enables them to select and sort the spreadsheet data by using natural language. ISPM uses a machine learning technique to automatically infer areas within a spreadsheet, including different kinds of headers and data ranges. Since ranges can be identified from natural language queries, the end users can query the data using natural language. During the evaluation 12 undergraduate students were asked to perform operations (sum, sort, group and select) using the system and also Excel without ISPM interface, and the time taken for task completion was compared across the two systems. Only for the selection task did users take less time in Excel (since they directly selected the cells using the mouse) than in ISPM, by using natural language for end user software engineering, to overcome the present bottleneck of professional developers.

Keywords: natural language processing, natural language interfaces, human computer interaction, end user development, dialog systems, data recognition, spreadsheet

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Authors: Muhammad Naziru Yahaya, Buhari Samaila, Nasiru Abubakar

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Noise pollution caused by vehicular movement in urban cities has reached alarming proportions due to continuous increases in vehicles and industrialization. Traffic noise causes deafness, annoyance, and other health challenges. According to World Health Organization recommends 60Db daytime sound levels and 40db night time sound levels in hospitals, schools, and other residential areas. Measurements of traffic noise were taken at six different locations of selected healthcare facilities at Birnin Kebbi (Sir Yahaya Memorial Hospital and Federal Medical Centre Birnin Kebbi). The data was collected in the vicinity of hospitals using the slow setting of the device and pointed at noise sources. An integrated multifunctional sound level GM1352, KK2821163 model, was used for measuring the emitted noise and temperatures. The data was measured and recorded at three different periods of the day 8 am – 12 pm, 3 pm – 6 pm, and 6 pm – 8:30 pm, respectively. The results show that a fair traffic flow producing an average sound level in the order of 38db – 64db was recorded at GOPDF, amenityF, and ante-natalF. Similarly, high traffic noise was observed at GOPDS, amenityS, and Fati-LamiS in the order of 52db – 78db unsatisfactory threshold for human hearing.

Keywords: amenities, healthcare, noise, hospital, traffic

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Authors: Vikram Singh

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This paper aims to take into account carbon tax or cap-and-trade legislation to manage Delhi carbon emissions after a post-Kyoto treaty. This report estimated the influence of the carbon taxes or rebate/compensation cost at the household level. Here, the three possible scenarios will help to comprehend the difference between a straightforward compensation/rebate, and two clearly denoting progressive formula. The straightforward compensation is basically minimizing the regressive applications that will bears on cost. On the other hand, both the progressive formula will generate extra revenue, which will help for feasibility of more efficient, vehicles, appliances and buildings in the low-income household. For the hypothetical case of carbon price $40/tonne, low-income household for both urban and rural region could experience price burden up to 5% and 9% on their income as compared to 3% and 7% for high-income household respectively. The survey report also shown that carbon emission due low-income household are primarily by the substantive requirement like housing and transportation whereas almost 40% emission due to high-income household are by luxurious and non-essential items. The equal distribution of revenue cum incentives will not completely overcome high-income household’s investment in inessential items. However, it will merely help in investing their income in energy efficient and less carbon intensive items. Therefore, the rebate distribution on per capita basis instead on per households will benefit more especially large families at low-income group.

Keywords: household emission, carbon credit, carbon intensity, green house gas emission, carbon generation based insentives

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Authors: Ying-Pin Chang

Abstract:

This paper presents a method for combining a particle swarm optimization with nonlinear time-varying evolution and orthogonal arrays (PSO-NTVEOA) in the planning of harmonic filters for the high speed railway traction system with specially connected transformers in unbalanced three-phase power systems. The objective is to minimize the cost of the filter, the filters loss, the total harmonic distortion of currents and voltages at each bus simultaneously. An orthogonal array is first conducted to obtain the initial solution set. The set is then treated as the initial training sample. Next, the PSO-NTVEOA method parameters are determined by using matrix experiments with an orthogonal array, in which a minimal number of experiments would have an effect that approximates the full factorial experiments. This PSO-NTVEOA method is then applied to design optimal harmonic filters in Taiwan High Speed Rail (THSR) traction system, where both rectifiers and inverters with IGBT are used. From the results of the illustrative examples, the feasibility of the PSO-NTVEOA to design an optimal passive harmonic filter of THSR system is verified and the design approach can greatly reduce the harmonic distortion. Three design schemes are compared that V-V connection suppressing the 3rd order harmonic, and Scott and Le Blanc connection for the harmonic improvement is better than the V-V connection.

Keywords: harmonic filters, particle swarm optimization, nonlinear time-varying evolution, orthogonal arrays, specially connected transformers

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Authors: Godaye Gobena Gomiole

Abstract:

The purpose of this study was to investigate school context-related factors that affect principals' instructional leadership competence in primary schools in Tarcha Town, Ethiopia. A qualitative case study research design was used. The data were collected through semi-structured interviews and document analysis. Twelve senior principals were included in the study through purposive sampling. Interviews were used to collect in-depth data. The data was analyzed thematically. The findings of the study indicated that primary school principals face both internal and external challenges. Internally, they face limited knowledge and skills, a lack of courage and commitment, and administrative work overload. Their external challenges included negative attitudes from parents and teachers, a lack of instructional materials, and little support from local education authorities. Consequently, they can't serve effectively as instructional leaders or resource people. Based on the findings, it is recommended that the Ministry of Education, South West Regional Education Bureau, Dawuro Zone Education Department, and Tarcha Town Administration Education Officers and Cluster Supervisors regularly monitor and support school leaders and prepare and provide pertinent teaching materials and training so that the principals can lead in the capacity that is appropriate for the position.

Keywords: instructional leadership, primary school, principals, school context related factors

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Authors: Guadalupe López-Bonilla

Abstract:

Students of all educational levels participate in literacy practices that may involve print or digital media. Scholars from the New Literacy Studies distinguish practices that fulfill institutional purposes such as those established at schools from literate practices aimed at doing other kinds of activities, such as reading instructions in order to play a video game; the first are known as institutional practices while the latter are considered vernacular literacies. When students perform these kinds of activities they engage with print and digital media according to the demands of the task. In this paper, it is aimed to discuss the results of a research project focusing on literacy practices of high school students at 10 urban cybercafés in Mexico. The main objective was to analyze the literacy practices of students performing both school tasks and vernacular literacies. The methodology included a focused ethnography with online and face to face observations of 10 high school students (5 male and 5 female) and interviews after performing each task. In the results, it is presented how students treat texts as open, dynamic and relational artifacts when engaging in vernacular literacies; while texts are conceived as closed, authoritarian and fixed documents when performing school activities. Samples of each type of activity are shown followed by a discussion of the pedagogical implications for improving school literacy.

Keywords: digital literacy, text, school literacy, vernacular practices

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Authors: Abdoulahad Allamine

Abstract:

The objective of this study is to assess the impact of climate variability on agriculture and food security in 43 countries of sub-Saharan Africa. We use for this purpose the data from BADC bases, UNCTAD, and WDI FAOSTAT to estimate a VAR model on panel data. The sample is divided into three (03) agro-climatic zones, more explicitly the equatorial zone, the Sahel region and the semi-arid zone. This allows to highlight the differential impacts sustained by countries and appropriate responses to each group of countries. The results show that the sharp fluctuations in the volume of rainfall negatively affect agriculture and food security of countries in the equatorial zone, with heavy rainfall and high temperatures in the Sahel region. However, countries with low temperatures and low rainfall are the least affected. The hedging policies against the risks of climate variability must be more active in the first two groups of countries. On this basis and in general, we recommend integration of agricultural policies between countries is done to reduce the effects of climate variability on agriculture and food security. It would be logical to encourage regional and international closer collaboration on the development and dissemination of improved varieties, ecological intensification, and management of biotic and abiotic stresses facing these climate variability to sustainably increase food production. Small farmers also need training in agricultural risk hedging techniques related to climate variations; this requires an increase in state budgets allocated to agriculture.

Keywords: agro-climatic zones, climate variability, food security, Sub-Saharan Africa, VAR on panel data

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Authors: Zasha Romero, Joe Paschall

Abstract:

This poster will detail the importance of physical activity for the Visually Impaired students and how to promote inclusion in fitness through way of social gatherings and jogging. Furthermore, it will demonstrate how a Health & Kinesiology University Club cooperated in the journey of visually impaired students from participating in physical activity to completing their first 10K fun run. Purpose: The poster will detail how a university’s Health & Kinesiology Club developed a program to promote participation in fitness activities for visually impaired individuals. Also, it will detail their journey from participation in physical activity to completing a 10K fun run. Methods: In an effort to promote inclusion of all into physical activity, a university’s Health & Kinesiology Club developed a non-profit program to challenge visually impaired students to train and complete a 10 kilometer fun run in a South Texas town. The idea was to promote physical fitness through way of social interaction. In order to maintain runners interested, Club students developed training plans and strategies to be able to navigate in a race that was attended by over 18,000 runners. The idea was to promote interaction and life-long fitness amongst participants. Implications: This strategy was done in collaboration with different non-profit institutions to create awareness and provide opportunities for physical fitness, social interaction and life-long fitness skills associated with the jogging. The workshop provided collaboration amongst different entities and novel ideas to create opportunities for a typically underserved population.

Keywords: inclusion, participation, management, disability, fitness

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Authors: Pierre-Marie Basset, Gabriel Reboul, Binh DangVu, Sébastien Mercier

Abstract:

Rotorcraft provides invaluable services thanks to their Vertical Take-Off and Landing (VTOL), hover and low speed capabilities. Yet their use is still often limited by their cost and environmental impact, especially noise and energy consumption. One of the main brakes to the expansion of the use of rotorcraft for urban missions is the environmental impact. The first main concern for the population is the noise. In order to develop the transversal competency to assess the rotorcraft environmental footprint, a collaboration has been launched between six research departments within ONERA. The progress in terms of models and methods are capitalized into the numerical workshop C.R.E.A.T.I.O.N. “Concepts of Rotorcraft Enhanced Assessment Through Integrated Optimization Network”. A typical mission for which the environmental impact issue is of great relevance has been defined. The first milestone is to perform the pre-sizing of a reference helicopter for this mission. In a second milestone, an alternate rotorcraft concept has been defined: a tandem rotorcraft with optional propulsion. The key design trends are given for the pre-sizing of this rotorcraft aiming at a significant reduction of the global environmental impact while still giving equivalent flight performance and safety with respect to the reference helicopter. The models and methods have been improved for catching sooner and more globally, the relative variations on the environmental impact when changing the rotorcraft architecture, the pre-design variables and the operation parameters.

Keywords: environmental impact, flight performance, helicopter, multi objectives multidisciplinary optimization, rotorcraft

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