Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership Blindspots: How Successful Leaders Identify and Overcome the Weaknesses That Matter

Introduction ix Section 1: Why Blindspots Matter Chapter 1: The Dangers and Rewards of Being Blind 3 Chapter 2: How to Spot Blindspots in Yourself and Others 17 Chapter 3: The Common Blindspots Holding Leaders Back 35 Chapter 4: Why Blindspots Are an Ever-Present Challenge 55 Section 2: How to Surface and Overcome Blindspots Chapter 5: See It for Yourself: Customers, Colleagues, and Outsiders 71 Chapter 6: Seek Out That Which Disconfirms What You Believe 91 Chapter 7: Develop Peripheral Vision and See What Others Miss 117 Chapter 8: Build a Network of Trusted Advisors in Critical Areas 131 Chapter 9: Promote Productive Team Fights on the Vital Few Priorities 145 Conclusion 163 Section 3: Additional Resources Resource A: Blindspot Q&A 173 Resource B: Leadership Blindspot Survey: Self-Assessment 177 Resource C: Common Leadership Blindspots: Feedback Worksheet 183 Resource D: Readings on Leadership Blindspots 187 Notes 189 Acknowledgments 205 About the Author 207 Index 209
Demonstration of 1×32 LCOS-based wavelength selective switch

In recent years, reconfigurable optical add drop multiplexers (ROADM) and multiple-dimensions optical cross-connection (OXC), as the essential devices of next-generation dynamic optical networks, have been attracted great interests by research institutions and relevant industry. 1×N Wavelength selective switches (WSSs) are one of the key components in current and next generation ROADM. Currently, WSS primarily rely on micro-electromechanical systems (MEMS) and liquid crystal on silicon spatial light modulators (LCOS-SLM) switches. LCOS-based WSSs have several advantages, including flexible spectrum coverage, adaptive alignment, and robustness. Based on a novel 2-f optical structure, we therefore propose 1×32 WSS system including a 1×32 fiber-coupling lenslet arrays, a collimating lens, a transmission grating, a cylindrical lens and a LCOS-SLM. By uploading the optimized phased holograms on the LCOS, we have successfully switched input signal with arbitrary wavelength in C-band into any output port. The output channel spacing can be adjusted flexibly and each port switches independently. Experimental results demonstrate the insertion loss is around 5~10dB and the switch crosstalk at 1550nm is -35dB. The 3dB-bandwidth of signal@100G is 40G.The research has established the theory and experiment foundation for the development of M×N WSS in future.
Unit Quaternions and Rotations in SO(3)

This chapter is devoted to the representation of rotations in SO(3) in terms of unit quaternions. Since we already defined the unitary groups SU(n), the quickest way to introduce the unit quaternions is to define them as the elements of the group SU(2). The skew field H of quaternions and the group SU(2) of unit quaternions are discussed in Section 15.1. In Section 15.2, we define a homomorphism r : SU(2) ! SO(3) and prove that its kernel is { I, I}. We compute the rotation matrix Rq associated with the rotation rq induced by a unit quaternion q in Section 15.3. In Section 15.4, we prove that the homomorphism r : SU(2) ! SO(3) is surjective by providing an algorithm to construct a quaternion from a rotation matrix. In Section 15.5 we define the exponential map exp: su(2) ! SU(2) where su(2) is the real vector space of skew-Hermitian 2 ⇥ 2 matrices with zero trace. We prove that exponential map exp: su(2) ! SU(2) is surjective and give an algorithm for finding a logarithm. We discuss quaternion interpolation and prove the famous slerp interpolation formula due to Ken Shoemake in Section 15.6. This formula is used in robotics and computer graphics to deal with interpolation problems. In Section 15.7, we prove that there is no “nice” section s : SO(3) ! SU(2) of the homomorphism r : SU(2) ! SO(3), in the sense that any section of r is neither a homomorphism nor continuous.
Refining the ML/DL Argument for the SensorAble Project

Is Machine Learning/Deep Learning (ML/DL) a technological necessity when implementing SensorAble or is it something to be investigated because of its potential? Should ML/DL be implemented because it permits processing large quantities of multimodal data enabling modelling of autistic neurocognitive processes that well relate to distractibility and anxiety? Or would interventional prototyping using old-fashioned Artificial Intelligence (AI), Bayesian theory or a hand-crafted rule be preferable? Following Participant Public Information (PPI), can ML/DL techniques permit greater understanding of how disruptions occur and properly align/prepare the groundwork for an interventional prototype? Would heuristics, data mining, or perhaps some other statistical approach adequately provide evidence proceeding a design? With the constellation of supervisors who have invested in this project, can fundamental science properly situate SensorAble in a broader vision that creates practical tools? It is one thing to understand and model a problem. It’s another to simply design/build. Doing the latter may inform the user, but how does it guarantee that other stress factors, ethical issues and newly created anomalies aren’t inadvertently introduced?
ANN-based Structural Performance Model for Reliable Bridge Asset Management

Bridge Management Systems (BMSs) have been developed to assist in the management of a large bridge network. Historical condition ratings obtained from bridge inspections are major resources for predicting future deteriorations via BMSs. Available historical condition ratings in most bridge agencies, however, are very limited, and thus posing a major barrier for predicting reliable future structural performance. To alleviate this problem, A Backward Prediction Model (BPM) technique has been developed to help generate missing historical condition ratings which is crucial for bridge deterioration models to be able to predict more accurate solutions. Nevertheless, there are still considerable limitations in the existing bridge deterioration models. In view of this, feasibility study of Time Delay Neural Network (TDNN) using BPM-generated historical condition ratings is conducted as an alternative to existing bridge deterioration models. It is anticipated that the TDNN using BPM-generated data can lead to further improvement of the current BMS outcome.
The making of interactive multimedia orienting toward the three levels of representation in alcohol reaction

Alcohol reaction is one of the concepts in organic chemistry, which has macroscopic, submicroscopic, and symbolic characteristics. Alcohol reaction is usually displayed in macroscopic and symbolic representation only, while in fact should be displayed in submicroscopic representation as well. This ‘research and development’ research aims at creating interactive multimedia that can display the three levels of representation on alcohol reaction and determine its feasibility level. The research results show that the product can display the three levels of representation in alcohol reaction. The macroscopic representation is presented with experimental video of alcohol reaction. The submicroscopic representation is presented with the animation of alcohol reaction mechanism. The symbolic representation is presented with the equation of alcohol reaction. Furthermore, the validation is done through the consideration of 4 experts and the feasibility test involving 15 college students. The result of the validation and feasibility test concludes that interactive multimedia is valid and feasible to be used in learning chemistry.
Modeling and simulation of photovoltaic systems in Indonesia: a technical evaluation at multiple levels

With over 8,000 inhabited islands, the distribution of fuels and electricity is extremely challenging in Indonesia. Photovoltaic (PV) energy systems could offer new opportunities and could become increasingly important for the future electricity mix of Indonesia. To stimulate this transition, it is necessary that existing barriers to a successful implementation of PV systems are indicated in order to be tackled. This thesis adds to this goal by enhancing the technical knowledge about PV systems in Indonesia. This has been achieved by modelling and simulation of PV systems. The main research question in this thesis is: What can be learned from experiences with and modelling of PV systems for the stimulation of PV in the future electricity mix in Indonesia? Since the successful implementation of PV systems depends on several factors, PV systems have been evaluated at three different levels: the national, system and product level. At the national level, the potential and costs of PV systems are modelled and assessed. For this purpose, a distinction has been made for grid-connected and off-grid PV systems. For both PV system configurations the potential nominal installed capacity and levelized cost of electricity (LCOE) of PV systems has been determined for each of the provinces of Indonesia. To assess the cost-effectiveness the LCOE has been compared with the generation cost of electricity. At the system level, a pilot grid-tied PV system - which has been installed in Jayapura in the province of Papua during this project - has been analysed. Jayapura regularly suffers from power outages due to aged diesel generators and a weak electricity grid. The performance of the grid-tied PV system in such a weak electricity grid has been evaluated. Subsequently, at the product level, monitoring data from this PV system are used to simulate the power output of the PV system, evaluating the appropriateness of existing models for the determination of the power output under tropical weather conditions. Finally, to increase the accuracy of short-term PV power output simulations, a new PV module temperature model has been proposed.
Solar Irradiance and Load Demand Forecasts in the Supervisory Control for Off-Grid Hybrid Energy System

Efficient operation of a hybrid renewable energy system can be achieved if the power supply from the renewable energy generator and the load demand can be predicted. The forecasts of these parameters are essential for the supervisory control planning and decision making to ensure the generator capacity on the line is sufficient to meet the load demand at a given moment. Forecast models for predicting the solar resource and the load demand are proposed. The proposed models are applied to control an off-grid Photovoltaic-Variable Speed Diesel Generators Hybrid Energy System.
Collaborative Planning, Forecasting, and Replenishment: How to Create a Supply Chain Advantage

"Foreword of The VICS-CPFR Committee 1. EFFICIENT CONSUMER RESPONSE AS THE ORIGIN OF CPFR 2. THE CPFR CONCEPT Dirk Seifert: The CPFR Value Proposition Gerhard Arminger: Sales and Order Forecasts in the CPFR Process for Retail Joseph Andraski: CPFR Emerges as the Next Movement in Supply Chain Management Julie Fraser: CPFR Status: Key Results of a Survey in the Consumer Goods Sector 3. CPFR IN NORTH AMERICA Freidman and Belkin: Major Trends in North American CPFR Adoption Lawrence E. Fennell: Consumer Centric CPFR Christopher A. Brady: CPFR -- Views and Experiences at Safeway Bastock, Baumann and Smith: CPFR Implementation at Ace Hardware and Manco Frodsham, Miller and Mooney: CPFR Implementation at Canadian Tire and GlobalNetExchange Andraski and Di Yeso: The Power of Standards-Based Collaboration - the Uniform Code Council & CPFR 4. CPFR IN EUROPE Dirk Seifert: CPFR -- Ready to Take Off in Europe Weisphal, Pfahler and Abolhassan: Results of a CPFR Study in Europe Treeck and Seishoff: CPFR in Germany, Austria and Switzerland Baumgart, Ester and Schick: CPFR Implementation at dm-drogerie markt Schick and Hambuch: CPFR Implementation at dm-drogerie markt and Procter & Gamble in Germany Don Brenchley: CPFR Implementation at Londis in Great Britain Duque, Garriga and Teuscher: CPFR Implementation at Henkel Spain 5. CPFR PERSPECTIVES AND ROADS TO IMPLEMENTATION Bruce and Ireland: Migration to Value Chain Collaboration through CPFR Dawn Russell: Integrating Collaborative Transportation Management and CPFR Ralph Drayer: The Foundation Is in Place Daren K. Fairfield: Avoiding CPFR Pitfalls in the Consumer Goods Industry Stiely and Katz: Virtually Vertical: A Supply Chain Model for the Collaboration Era Koch and Hausruckinger: On the Road to the Network Economy"
Pavement Performance Evaluating Model by Using RBF

In order to make the performance evaluation of asphalt pavement more scientific and reasonable, taking advantage of excellent adaptability of neural network technology to deal with nonlinear mapping problem, the pavement performance evaluation model based on radial basis function neural networks was developed. This model takes comprehensive consideration of ten affecting factors including traffic volume, temperature, pavement thickness, pavement condition index £¨PCI£©, etc. and choose certain number of samples data to train and simulate, then compare the output with the test results in networks model trained. The calculating results show that the model makes up the weaknesses of traditional evaluation model such as narrowness and uniqueness, and reflect more realistically the constitutive relations between pavement performance and affecting factors. Predicted accuracy can meet the practical engineering application greatly. This model is worth promoting and trusting.
Good Governance, Public Finance, National Security and Economic Growth in Nigeria: A Discursive Explorational Approach

Nigeria is poorly ranked on the global scale of governance indicators (Fashagba and Oshewolo, 2014). The country is currently facing a host of complex security challenges such as violent insurgency, herdsmen hazard, piracy, kidnapping for ransom, attacks on oil infrastructure, organized crime and religious extremists. These threats typically involve irregular forces and are largely societal based. According to Omodia (2012), failure of governance is core to the socioeconomic and political development challenges confronting Nigeria and the spate of violence that threatens national security.
Early Stages of Technology-Intensive Companies in Southern California

Purpose: Numerous stage models have attempted to clarify management priorities during the early stages of companies. However, a need for more focused and context-specific studies exists. This study seeks to clarify the early stages of technology- intensive companies in Southern California. To summarise the research questions, the authors ask: What early stages do technology-intensive companies face based on empirically based stage literature? How do the experiences of managers in early-stage technology-intensive companies relate to assumptions of such stage framework? What viewpoints should be considered when using stage framework in context of Southern California? Design/methodology/approach: To answer these questions, this retrospective multiple case study devises a four-stage framework describing early stages of technology-intensive companies and reflects it through nine case studies. The study utilises sequential incident technique (SIT) and semi-structured interviews in data collection. Three perspectives were analysed in each case company for triangulation purposes – one from company management, one from operations management, and one from marketing management. Findings: The applicability of the framework will be clarified in this study; moreover, an analysis of context-specific viewpoints will be provided. It is necessary to recognise these viewpoints when using this framework in Southern California. Research limitations/implications: The research focus of this study is limited to the context studied. This limits the applicability of the explorative and descriptive results to other contexts. Practical implications: The results of the study may be effectively used in intermediary organisations and companies as framework for predicting the early-stages of technology intensive companies. Originality/value: The context specific viewpoints and their affect to the early stages of company have not been broadly studied - this study takes the context into account and provides new insights into growth-management of technology-intensive companies in the studied context.
Graphical user interface for supporting process automation in underground mines

The mining industry has recognized the need for streamlining the production using modern process control systems. In this thesis, a graphical user interface has been designed that gives the mine operator an improved overview of the physical mine, its production and involved resources compared to current user interfaces.A conceptual demonstrator was developed that implements essential features, including a traditional process view showing production points and ore movement, an enhanced Gantt chart and a geographical mine view using a visualization technique for 3D to 2D mapping. In depth individual research has also been conducted, focusing on Gantt charts adapted for continuous mining processes and a design process reflection that discusses the diffculties faced by university students in real work environments and suggestions for overcoming them.
Microflora analysis in the postchemotherapy patients of oral cancer

Background: To assess changes in oral microflora in dental plaque from cancer patients within 7 days of the first course of chemotherapy and the relationship of the changes with mucositis. Materials and Methods: Thirty cancer patients, divided into a test group undergoing chemotherapy and a control group not undergoing chemotherapy, were enrolled in this pilot study. Oral microflora was cultured from three samples of dental plaque at t0 (before chemotherapy), t1 (1 day after chemotherapy), and t2 (7 days after chemotherapy). Single and crossed descriptive analyses were used to establish prevalence, and the Chi-square test was used to establish the statistical significance of the differences observed in distributions (significance level: P < 0.05). Results: In most patients (55%), oral microflora consisted mainly of Gram-positive cocci, while the remaining 45% of the bacterial flora also had periodontal-pathogenic species. No Porphyromonas gingivalis appeared in the test group. Actinobacillus was the least frequently found bacterium among periodontal pathogens in the test group, while Fusobacterium nucleatum was the most frequently found. No significant differences were found in quantitative bacterial changes between t0, t1, and t2 in either the test or control groups, or between the two groups. According to World Health Organization scores, oral mucositis developed in 10 patients (66.6%) in the test group. Conclusions: The results of this pilot study indicate that there were no changes in microflora in dental plaque in cancer patients within 7 days of the first course of chemotherapy. No correlations between oral mucositis and specific microorganisms were assessed.
Researching women's ICT-based enterprise for development: methods, tools and lessons from fieldwork

This paper is for people interested in researching women's ICT-based enterprises in developing countries. It will also be of value to those researching women and ICTs or ICT enterprises and development more generally. The paper reports on, and draws lessons from, one project's experiences in researching a group of ICT-based enterprises (mainly doing data entry, IT training, and hardware assembly work) run by cooperatives of poor women in Kerala state, India. No study findings are presented here; just reflections on the research and fieldwork process. The paper describes the holistic – multi-disciplinary, multi-method – approach to research used to develop the fieldwork instruments for this project. As well as providing copies of these instruments, this paper also describes issues and lessons emerging from their application. These include practical issues, conceptual issues, as well as issues that arise from the holistic nature of the research approach. A bullet-point list of nine lessons is provided at the end of the main paper.
The Management of Mergers and Acquisitions

List of figures and tables.Preface. Introduction.1 M&A failure as a management problem.1. 1 Story: Flight NA3365 to Morkousk.1. 2 A failure . but not a calculated one! 2 Ego and geo: Two motivations for acquiring.2. 1 Story: To conquer the world.2. 2 Combining ego and geo . 3 Choosing the right pilots.3. 1 Story: The gold nugget.3. 2 Is there a pilot in the acquisition? 4 Major M&A issues.4. 1 Story: The Christmas present.4. 2 Stars and storms.5 Exploring the cultural dimension.5. 1 Story: Fateful encounters.5. 2 Naturally, culture is to blame.6 Using experience, but maintaining vigilance.6. 1 Story: The Meletev cocktail.6. 2 Don't worry, we know what we're doing . 7 Monitoring integration in time and space.7. 1 Story: Sabotage.7. 2 From the infinitely large to the infinitesimal.Conclusion. Addendum.References. Index.
Plant Biotechnology 24, 533–536 (2007)

A soybean variety, Kariyutaka was found to form much more precocious flower buds than those of the other six genotypes used in this study when in vitro cultured at 26°C with 16/8 h light/dark regime (fluorescent tubes at an intensity of about 100 mmols s 1 m ). In addition, it was a suitable genotype for soybean transformation because it was highly sensitive to Agrobacterium and it exhibited excellent shoot regeneration. Its transformation frequency (about 1%) was comparable to that of a variety Thorne, which is known as one of the suitable cultivars for Agrobacterium-mediated transformation. Because transgenic shoots of Kariyutaka formed in vitro precocious flower buds, T1 seeds were obtained in only six months after co-cultivation with Agrobacterium. A few copy numbers of transgenes were inheritable to T1 generations. T1 plants also produced seed within 2–3 months when grown at the same regime as in vitro culture. Hence Agrobacterium-mediated transformation using Kariyutaka can be recommended as a model method for the rapid development of transgenic soybean lines.