Linking Population, Fertility and Family Planning with Adaptation to Climate Change: Views from Ethiopia

As global climate change unfolds, its effects are being felt disproportionately in the world's poorest countries and among the groups of people least able to cope. Many of the countries hardest hit by the effects of climate change also face rapid population growth, with their populations on track to double by 2050.Population Action International (PAI) and Miz-Hasab Research Center (MHRC), in collaboration with the Joint Global Change Research Institute (JGCRI), studied which groups are most vulnerable, what community members say they need to adapt, and the role of family planning and reproductive health in increasing resilience to climate change impacts.The study was carried out in 2008-2009 in peri-urban and rural areas of two regions in Ethiopia: the Oromia region and the Southern Nations, Nationalities and People's (SNNP) region

Reducing Costs in Human Assisted Speech Transcription

The only official documentation of the lawmaking process at the California Legislature is unedited video recordings of committee hearings, bill texts, votes and analyses. While the bills resulting from these hearings are clear, using video recordings to understand how a bill was created is far too laborious for the average citizen. To increase public transparency, a service that provides easier access to the bill creation process was needed. In response to this need, the Digital Democracy initiative was established at Cal Poly by the Honorable Sam Blakeslee, former California State Senator and founder of the Institute for Advanced Technology and Public Policy. The Digital Democracy initiative seeks to create a web platform that organizes, generates, and indexes large amounts of information about the legislative process. To accomplish this, automatic speech recognition is performed on the video recordings of committee hearings and the resulting text is manually improved and annotated with a web application called the Transcription Tool . Unfortunately, this process is costly, labor intensive, and prohibits the scaling and long term viability of the platform. Early efforts to reduce transcription costs involved the development of improved transcription tool UI and systems for speaker diarization and text correction. This thesis evaluates the effectiveness of these improvements on the human assisted transcription process employed by the Digital Democracy initiative. To facilitate this evaluation, a pipeline for automatic transcription improvement was developed, the improvements were incorporated into the transcription process, and a controlled experiment was run to measure the effects of these improvements. The results of the experiment demonstrate that the improvements reduced transcription editing costs by 16.89% while maintaining similar transcription quality

Cooperative Methodologies for the Lookaside Buffer

Information theorists agree that low-energy the- ory are an interesting new topic in the field of cyberinformatics and scholars concur In our research we prove the deployment of redun- dancy In order to fulfill this objective we dis- prove not only that von Neumann machines and von Neumann machines are generally incompat- ible but that the same is true for 802 11

Design challenges, and outcomes of building a satellite the size of a soda can

A Mach contest is part of an annual event, organized by UKLSL, which combines both CanSat and rocket competitions. The first Mach event in 2021 was focused on the design of “Simple and Advance CanSats”, and culminated on a 3-day activity at Machrihanish Airbase in Scotland. It involved setup, pre-flight checks, and system adjustments. This paper focuses on the design challenges, and outcomes from building a satellite the size of a soda can by reviewing the event, the mission designed for the competition, and students’ feedback on what could have been improved to prepare the next team competing in Mach-22 which would involve developing a Rocket design and launching an “Advance CanSat”. The competition allowed undergraduate students at The University of Nottingham to experience a practical learning style by solving real engineering problems and practicing professional development skills through design review presentations and providing a flight readiness review to the launch providers of the competition. The proposed mission statement was part of the “PEAK” category, which involved atmospheric studies, where it acts as a simulation model for measuring the atmosphere on different planets and as a deployable probe from rovers to measure varying atmospheric levels. The competition exposed students to perform AITV (Assembly, Integration, Testing, Verification) processes to their CanSat and constructed procedures to test and validate the recovery system. Results from the first Mach event prove a solid starting point for future CanSat competition and space activities within our university. In the future, there are aspirations to grow a student space society and get students involved in extra-curricular STEM (Science, Technology, Engineering, Math) projects, and allow them to apply the theory and concepts learned in their academic

“Exploring leadership behavior in support of gender diversity as a competitive advantage: A case study on Nordic service industry”.

This dissertation explores the leadership behavior and perspective through leadership ontologies that support gender diversity to gain competitive advantage. The present and past literature on diversity leadership is focused more on identifying to “fix” diversity with the end goal of improving the KPI of the organization. Only a few studies have demonstrated the leadership behaviors to embrace diversity as a strength, a source of value, and a competitive advantage. Therefore, this research aims to fill this gap in the literature, as it focuses on the leadership perceptions to get meaningful progress in the corporate gender diversity programs. The research questions then become: Which leadership behaviors support gender diversity to achieve competitive advantage? A study aimed to answer this question and look at all three leadership ontologies: tripod ontology, DAC, and PAC, and how they would function in the Nordic hotel and IT service sectors. Empirical data was collected through interviews of employees in the formal and informal leadership positions in 2 hotels and 1 IT company. This dissertation has the world view of interpretivism, and the analysis is qualitative content analysis. And the data reveals that there are six main themes of relevance to the problem question. The findings suggest that tripod ontology, where leadership influences most of its integration and expects followers and shared goals to follow, has adverse effects on gender diversity in the hotel and IT industry. DAC ontology which focuses on collective interest, coordination of knowledge and works and has a widespread agreement on the overall goals, mission, and vision, has limited practice. Still, it can diversely affect the integration of gender diversity in both industries. PAC ontology which defines leadership as a collective pursuit of delivering on purpose, not a privilege of the few, has a mixed findings in this research. In the hotel sector, leaders tried to implement gender equality within their organization in a way that hasn’t had known to have a business value, on the other hand, the IT sector has an excellent potential to implement PAC to integrate gender. This dissertation is based on a paradigm that allows for consistent re-evaluation of the problem question. However, the main recommendation is to develop the problem question early and review the literature at a stage where one can utilize the literature to form a problem question. In addition, this dissertation recommends the careful use of leadership definitions. Because there are so much disagreement and vagueness among scholars in this field, this thesis also suggests combining leadership studies with quantifiable data besides qualitative data

Exploring leadership behavior in support of gender diversity as a competitive advantage: A case study on Nordic service industry

This dissertation explores the leadership behavior and perspective through leadership ontologies that support gender diversity to gain competitive advantage. The present and past literature on diversity leadership is focused more on identifying to “fix” diversity with the end goal of improving the KPI of the organization. Only a few studies have demonstrated the leadership behaviors to embrace diversity as a strength, a source of value, and a competitive advantage. Therefore, this research aims to fill this gap in the literature, as it focuses on the leadership perceptions to get meaningful progress in the corporate gender diversity programs. The research questions then become: Which leadership behaviors support gender diversity to achieve competitive advantage? A study aimed to answer this question and look at all three leadership ontologies: tripod ontology, DAC, and PAC, and how they would function in the Nordic hotel and IT service sectors. Empirical data was collected through interviews of employees in the formal and informal leadership positions in 2 hotels and 1 IT company. This dissertation has the world view of interpretivism, and the analysis is qualitative content analysis. And the data reveals that there are six main themes of relevance to the problem question. The findings suggest that tripod ontology, where leadership influences most of its integration and expects followers and shared goals to follow, has adverse effects on gender diversity in the hotel and IT industry. DAC ontology which focuses on collective interest, coordination of knowledge and works and has a widespread agreement on the overall goals, mission, and vision, has limited practice. Still, it can diversely affect the integration of gender diversity in both industries. PAC ontology which defines leadership as a collective pursuit of delivering on purpose, not a privilege of the few, has a mixed findings in this research. In the hotel sector, leaders tried to implement gender equality within their organization in a way that hasn’t had known to have a business value, on the other hand, the IT sector has an excellent potential to implement PAC to integrate gender. This dissertation is based on a paradigm that allows for consistent re-evaluation of the problem question. However, the main recommendation is to develop the problem question early and review the literature at a stage where one can utilize the literature to form a problem question. In addition, this dissertation recommends the careful use of leadership definitions. Because there are so much disagreement and vagueness among scholars in this field, this thesis also suggests combining leadership studies with quantifiable data besides qualitative data

Microstrip Patch Antenna Parameter Optimization Prediction Model using Machine Learning Techniques

Microstrip patch antenna (MPA) plays key role in the wireless communication. The research is continuing going to design and optimization of the antenna for various advance application such as 5G and IOT. Artificial intelligence based techniques such as machine learning is also capable to optimize the parameter values and make prediction model based on the given dataset. This research paper shows the machine learning based techniques to optimize the microstrip patch antenna parameters with the performance improvement in terms of accuracy, Mean Squared Error, and Mean Absolute Error. The antenna optimization process may be greatly accelerated using this data-driven simulation technique. Additionally, the advantages of evolutionary learning and dimensionality reduction methods in antenna performance analysis are discussed. To analyze the antenna bandwidth and improve the performance parameters is the main concern of this work.

CLASSIFICATION AND PROPORTIES OF DISPERSED METAL WASTES

Has been classified and investigated the composition and properties of particulate iron-containing waste and the possibility of their processing and return to the industry. Describes the capabilities and prospects of recycling of particulate wastes in tilting rotary furnaces (TRF) without preprocessin

Recycling of Dispersed Metal Wastes in Rotary Furnaces

The recycling of dispersed metal containing wastes is a considerable problem, as their accumulation in dumps today is commensurate with the volume of ore extraction. Several methods and technologies are developed to recycle metal containing wastes but almost all of them require the preliminary preparation of wastes resulting in an increased price of the recycled metals. Furthermore, it is especially difficult to recycle dispersed multicomponent wastes and, therefore, the problem of developing effective, flexible and reliable technology for recycling of dispersed metal containing wastes is still a pressing one.The article presents an alternative method of recycling dispersed iron-containing wastes based on a continuous solid-liquid process of iron oxides reduction in rotary tilting furnaces (RTF). The new method allows the processing of waste of almost any composition and state: from metal lumps to oxide and multicomponent (chips, scale, sludge, etc.) wastes, contaminated with moisture, oils, organic impurities without their preliminary preparation (cleaning, homogenization, pelletizing, etc.). The result of recycling is the production of cast iron or steel ingots or required casting alloys. Some features of technology are considered, including the gas flow and motion of charge metal particles within the RTF. Process parameters providing high metal output are established