Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation Modelling for In-field Planning of Sequential Machinery Operations in Cropping Systems

Description: In highly mechanized agriculture farmers are facing challenges, both economic (e.g. higher labor costs, higher fuel prices) and environmental (e.g. legislation, effects of climate changes) in the strongly competitive agricultural market. In order to maximize the profits farmers have to reduce the production cost while maintaining high product quality. The annual cost of machinery management and operation is a significant part of the annual production cost. Therefore, the development of technologies to improve the machinery productivity and operational efficiency is of key importance. During this study, field coverage planning methods and computer models aimed at improving the performance of agricultural machinery have been developed. In terms of optimized coverage planning, a three-stage planning method that generates feasible area coverage plans for agricultural machines in fields inhabiting multiple obstacle areas was developed; In terms of simulation model, a unified simulation model for sequential operations in potato production was developed. With the assistance of this simulation model, the farm managers can make better decisions on strategic (e.g. investing in machinery with an appropriate working width and capacity), tactical (planning of operations, notably driving direction) and operational (deciding fieldwork pattern, loading/unloading locations etc.) planning level.
Enablers for Improving the Innovative Culture where Ideas Emerges from all Coworkers : A case study at Saab Naval Operations

Innovation is a necessity for organizations long term survival in today's rapidly changing society. Many organizations struggle with their innovation management and a prerequisite to succeed with innovation is considered to be, creating and maintaining an innovation. Large established organizations are by many seen as one of the greatest sources of innovation. They have several advantages when it comes to innovation; like a large set of resources and an extensive network. On the other hand many large organizations face difficulties with flexibility and bureaucracy and are being outperformed by small startup organizations. The purpose of the thesis was to investigate a large established Swedish high-technology organization’s innovation culture and give suggestions for how it could be improved in order to support the capability of generating ideas. The investigation was performed at Saab Naval Operations. To find improvements, the current culture and the desired culture that supports innovation were identified. Finally necessary changes were identified to be able to achieve the desired culture. Semi structured interviews were held to understand the prevailing problems today and the desired future state. Additionally a climate questionnaire was sent out to all coworkers at Naval Operations to reveal the current state from coworker’s perspectives. The analysis of the qualitative and quantitative results together provided an overall understanding of the existing culture. Workshops were held to determine the changes needed to reach the desired culture. Finally an action-plan with four improvement areas was identified. The empirical, qualitative and quantitative studies were distributed into the improvement areas. The factors identified are considered as a good starting to positively contribute to an innovative culture though the list is not considered as complete. The improvement areas were; Leadership for innovation, Idea Management, Understanding and Knowledge Transfer. These improvement areas were considered to be of great importance in order to positively contribute to the innovative culture where a variety of ideas emerges from everyone at Saab Naval Operations.
Peer Educators as Partners in Sexual Health Programming: A Case Study

Abstract The Sexual Health And Peer Education (SHAPE) program implemented in middle schools in Oklahoma County utilizes a hybrid adult and peer educator model to deliver sexual health programming. While peer educators have been incorporated into school-based sexual health programs in the past, this program is unique in its approach to preparing and engaging peer educators. Researchers synthesized data from interviews with program implementers and focus group discussions with teenage peer educators and middle school students who recently participated in the program to understand the process elements that contribute to the benefit of the SHAPE program model. Interviews with program implementers described the thorough peer educator recruitment and training process. Teenage peer educators felt well-prepared to deliver lessons, and through this program, they developed leadership skills, confidence, and grew personally. Middle school students revealed that peer educators were relatable and provided a positive experience where they could engage and ask questions. The application of a hybrid adult and teenage peer educator model proved useful for delivering sexual health topics and benefited students and teenage peer educators. This study’s findings highlight elements that can be utilized in future sexual health programming to prepare and engage teenage peer educators in more meaningful ways.
Tapering strategies for elite endurance running performance

It is common practice for endurance athletes to manipulate training load prior to an important competition, known as tapering. An effective strategy aims to alleviate accumulated fatigue, whilst maximising physiological adaptation and facilitating a peak performance. Improvements in performance of 0.5 to 6.0% have been reported after a successful taper, a margin that could potentially have a dramatic influence on performance outcome at the elite level. This thesis explored the strategies currently employed by elite endurance athletes and investigated novel training manipulations during the taper to further enhance performance, to gain a more thorough understanding of the physiological mechanisms, and to identify a minimally invasive physiological biomarker capable of monitoring recovery status during the taper. Tapering strategies in elite endurance athletes were shown to be individualised and influenced by the preceding training load. Algorithms were developed, capable of explaining a large proportion of the variance (53-95%) in tapering strategy training variables (with the exception of interval volume), for a given pre-taper training load (Chapter III). A tapering strategy implemented using the algorithms was most likely to improve 1,500 m treadmill performance (ES = 0.53). When the intensity of final interval session was increased from 100% to 115% race speed, the effect on treadmill performance was unclear (ES = 0.22) and perhaps due to insufficient recovery to respond positively to the increased intensity interval session (Chapter IV). When continuous volume was reduced further (by 60%), the novel high intensity strategy was very likely to improve 1,500 m track performance (ES = 0.74), compared to the algorithm-derived taper (ES = 0.40) (Chapter VI). In middle-distance runners, training above race speed in the final days of the taper might be more beneficial than current practice, although training volume must be further reduced to compensate. It was possible to measure plasma concentrations of interleukin-6 and soluble interleukin-6 receptor from capillary samples (Chapter II), although these markers in addition to C-reactive protein, testosterone and cortisol were not sensitive enough to detect changes in recovery status during tapering (Chapters IV and V). Measures of muscle maximum voluntary contraction force (algorithm-derived taper: 9%; ES = 0.39; novel taper: 6%; ES = 0.29), and rate of force development (algorithm-derived taper: ES = 0.53; novel taper: ES = 0.26) improved in response to tapering (Chapter IV), and could represent alternative non-invasive markers of recovery and taper effectiveness to facilitate peak performance.
De-Implementation of Urinary Catheters in Neurosurgical Patients during the Operation and on the Ward: A Mixed-Methods Multicentre Study Protocol

Background Indwelling urinary catheters (IDUCS) are routinely inserted during transsphenoidal pituitary gland tumour surgery or spinal fusion surgery, despite literature stating that there are no indications for using IDUCS during or following these surgeries. The aim of the study is to reduce the number of inappropriately inserted IDUCS during or post transsphenoidal pituitary gland tumour surgery and spinal fusion surgery with an operation time of less than 4 hours. observational study was initiated in a multicentre neurosurgical context. This study includes medical chart analysis, satisfaction surveys with patients and healthcare professionals, and multidisciplinary group interviews to assess the effectiveness of, and experiences with, This paper presents the study protocol of a multi-centred before and after trial that aims to reduce inappropriate IDUC use after transsphenoidal pituitary gland tumour surgery and spinal fusion surgery, thereby reducing UTIs, shortening length of hospital stay, and increasing patient comfort. The results can be used to de-implement IDUCS after a broad range of surgeries on several wards. The
Institutionally Sustaining or Abandoning Mandatory Joint Audits: The Contrasting Cases of France and Denmark

Abstract This study draws on two longitudinal case studies of the French and Danish joint audit models to understand and compare how mandatory joint audits have emerged and evolved. In both settings, joint audits appeared in the 1930s to increase auditors’ competence and independence. After a few decades of practice, joint audits became taken for granted, but in the 1980s, conglomerated audit networks attempted to circumvent the joint audit rule, entering into conflict with local auditors. In France, the main association of auditors adopted successive regulatory measures that prevented circumventing the model, therefore avoiding its erosion. Such regulatory layering crucially reshaped the model to sustain belief in its potential whenever a particular form of joint audit failed. In Denmark, the local audit firms essentially resisted attacks against the model rhetorically, which was insufficient to prevent its erosion in the 1990s and its suppression by the law in 2005. Contrasting the two cases shows the multi-modal ways in which actors undertake institutional work and it provides timely information for regulators engaged in discussions about joint audits.
Digital Insights 2020: How the Digital Technology Revolution is Changing Business and All Our Lives

From the author of the ground-breaking and landmark books e-shock 2000, Strategy in Crisis and Streamlining, comes this breakthrough new work looking at the future of the digital age. Digital Insights 2020 examines how the rapidly developing technology revolution is changing the way businesses must operate in this unfolding 21st century. It also considers the impact on people and how our daily lives and lifestyles will change.forever. Included is a blueprint and roadmap showing how companies can navigate their way through the rapidly changing environment and still emerge as winners. Our computer world of point-and-click is morphing into 'Think', 'Talk' and 'Move', where just thought, voice and simple remote gestures will control 3D holographic displays of data, content and video. Companies will need to reinvent themselves as MCEs (multi-channel enterprises), in which there is seamless cross-channel interaction with customers and they will also need to change the way their operating systems and processes are organised. Most every business in most every sector will need to manage its way through significant 'digital transformation'. New advances in the Cloud will cut costs and time to market and challenge decades of IT infrastructure. Technology generally is now becoming the key source of enablement and competitive advantage. Written by someone on the 'front line of digital', this book is essential for anyone looking to take advantage of the digital world to increase revenues and profits.
Weaponizing Clinical Mental Health in Family Justice Courts: Ethical and Legal Minefields

In child custody litigation, parents engage in complex and iterative patterns of conflict. These patterns may include allegations of interpersonal violence, addiction, mental health disorders, and parental alienation. In such cases, a licensed mental health professional (LMHP) may be providing clinical services for a child. However, the education and training of LMHPs may not include a thorough understanding of risk when exposed to child custody litigation, including ethical complaints and civil lawsuits. This article explores preventative strategies for managing that risk by applying a forensic model for case management when child custody conflict and litigation enters the clinical portal.
Worldwide Infrastructure for Neuroevolution: A Modular Library to Turn Any Evolutionary Domain into an Online Interactive Platform

Across many scientific disciplines, there has emerged an open opportunity to utilize the scale and reach of the Internet to collect scientific contributions from scientists and non-scientists alike. This process, called citizen science, has already shown great promise in the fields of biology and astronomy. Within the fields of artificial life (ALife) and evolutionary computation (EC) experiments in collaborative interactive evolution (CIE) have demonstrated the ability to collect thousands of experimental contributions from hundreds of users across the glob. However, such collaborative evolutionary systems can take nearly a year to build with a small team of researchers. This dissertation introduces a new developer framework enabling researchers to easily build fully persistent online collaborative experiments around almost any evolutionary domain, thereby reducing the time to create such systems to weeks for a single researcher. To add collaborative functionality to any potential domain, this framework, called Worldwide Infrastructure for Neuroevolution (WIN), exploits an important unifying principle among all evolutionary algorithms: regardless of the overall methods and parameters of the evolutionary experiment, every individual created has an explicit parent-child relationship, wherein one individual is considered the direct descendant of another. This principle alone is enough to capture and preserve the relationships and results for a wide variety of evolutionary experiments, while allowing multiple human users to meaningfully contribute. The WIN framework is first validated through two experimental domains, image evolution and a new two-dimensional virtual creature domain, Indirectly Encoded SodaRace (IESoR), that is shown to produce a visually diverse variety of ambulatory creatures. Finally, an Android application built with WIN, #filters, allows users to interactively evolve custom image effects to apply to personalized photographs, thereby introducing the first CIE application available for any mobile device. Together, these collaborative experiments and new mobile application establish a comprehensive new platform for evolutionary computation that can change how researchers design
Research on crack propagation simulation of mental construction of bridge crane based on damage mechanics

Based on continuum damage mechanics theory, fatigue crack propagation of girder of founding crane was researched under cyclic stress. According to the damage fatigue experimental data of Q345, undetermined parameter of damage model was got, and fatigue damage model of girder of founding crane was deduced under cyclic stress. Based on this research, with the method of live-dead element of finite element analysis, expansion process in the crack producing stage of founding crane was simulated, and crack propagation process in the different temperature was compared, what’s more, the influence of temperature to the crack propagation has been analyzed.
Does Insufficient Sleep Increase the Risk of Developing Insulin Resistance: A Systematic Review

It has been recommended that adults sleep a minimum of seven hours of sleep every night to maintain holistic health and well-being. A considerable fraction of the adult population suffers from sleep deprivation and related disorders. The stress of modern-day living may be the cause of this curtailment of sleep duration. The primary purpose of this study was to investigate the effects of reduced sleep on the development of insulin resistance and explore the possible mechanisms linking the two. We utilized databases like such as PubMed, PubMed Central (PMC), and Medical Literature Analysis and Retrieval System Online (MEDLINE) to systematically screen papers using keywords and Medical Subject Heading (MeSH) terms. A few articles were also retrieved from Cochrane Library. We applied inclusion/exclusion criteria after screening papers via title and abstracts. A quality appraisal check was doneperformed, and ten 10 related studies were strictly reviewed. Short sleep duration was significantly associated with insulin resistance. Inflammatory markers such as C-reactive protein (CRP) and serum amyloid A (SAA), biomarkers such as glucagon-like peptide-1 (GLP-1), and circadian misalignment may play a significant role in the pathogenesis of this association. To prevent metabolic complications such as type- 2 diabetes, adequate sleep (more than seven hours per night) is required in the adult population. The causal relationship between sleep deprivation and insulin resistance is multifactorial, and further studies are warranted to understand these mechanisms better.
Penilaian Kualitas Hidup Pada Pasien Kanker di Ruangan Irina Delima RSUP Prof. Dr. R. D. Kandou Manado

Abstract: Cancer is known as one of the diseases that has a serious physical and psychological impact on sufferers, the presence of cancer can affect the quality of life of patients. This study aims to determine the quality of life in cancer patients at irina delima room of RSUP Prof. Dr. R. D. Kandou Manado. This study was a descriptive study with a cross-sectional approach and data collected using the EORTC QLQ C30 questionnaire to 56 cancer patients. The results of the research obtained quality of life on global health scale categorized as good with a score of 67,3, on the functional scale is categorized as good with the highest average value of emotional function of 78,2, and the scale of symptom is categorized as poor with the highest average value of fatigue of 48,6.Keywords : Quality of life, cancer, EORTC QLQ-C30. Abstrak: Kanker dikenal sebagai salah satu penyakit yang memiliki dampak serius terhadap fisik dan psikologis bagi penderitanya, keberadaan penyakit kanker dapat mempengaruhi kualitas hidup pasien kanker. Penelitian ini bertujuan untuk mengetahui kualitas hidup pada pasien kanker di ruangan irina delima RSUP Prof. Dr. R. D. Kandou Manado. Penelitian ini merupakan jenis penelitian deskriptif dengan pendekatan cross sectional dan pengumpulan data menggunakan kuesioner EORTC QLQ-C30 terhadap 56 pasien kanker. Hasil penelitian yang diperoleh yaitu kualitas hidup pada skala kesehatan global terkategori baik dengan diperoleh nilai sebesar 67,3, pada skala fungsional terkategori baik dengan nilai rata-rata tertinggi yaitu fungsi emosi sebesar 78,2, dan pada skala gejala terkategori buruk dengan nilai rata-rata tertinggi yaitu kelelahan sebesar 48,6.Kata Kunci : Kualitas hidup, kanker, kuesioner EORTC QLQ-C30
Analisis Kerentanan Website SMA Negeri 2 Amlapura Menggunakan Metode OWASP (Open Web Application Security Project)

Sekolah memiliki websiste sebagai media yang menampilkan informasi sekolah, dan media interaksi. Terjadinya transisi komunikasi secara tradisional ke dalam lingkup aplikasi berbasis website bisa saja dimanfaatkan oleh beberapa pelaku kejahatan dunia maya dengan tujuan mencuri informasi rahasia siswa-siswi dengan tujuan tertentu, maka mendeteksi kerentanan keamanan website adalah hal yang sangat penting untuk mengetahui tingkat resiko dengan menggunakan metode Open Web Application Security Project (OWASP) Risk Rating untuk mendeteksi kerentanan keamanan pada aplikasi berbasis website. Penelitian ini menghasilkan 2 faktor untuk memperkirakan Likelihood dan Impact, dari masing-masing faktor terdapat 3 resiko yang ditemukan yaitu risk severity High, risk severity Medium dan risk severity Low. Hasil penilaian resiko ini dapat membantu para pengelola dan pengembang sistem untuk menyadari resiko yang mungkin terjadi sehingga dapat mengambil tindakan untuk mencegah dan mengatasi resiko tersebut.
An Efficient Brushless DC Motor Design for Unmanned Aerial Vehicles

In this study, 650W, 3500rpm 225Kv with 5kg traction force brushless DC motor is developed by using multidisciplinary analysis tools which include electrical, electromagnetics and electronics. In aerial vehicles, the efficiency is highly significant since it affects whole system parameters such as flight time, battery capacity, system mass and its acoustic noise level etc. Electric motor designer’s aim is to increase machine efficiency at particular operating condition which is usually at rated condition. However, in aerial vehicles the motor’s load type is fan and it has a parabolic speed-torque characteristic. Hence, the motor efficiency should be maximized in this particular load line in a wide speed range. Hence, the study mostly focuses on maximizing the electrical energy to traction force conversion efficiency at fan load characteristic but other performance-enhancing studies have not been neglected. The performance metrics will be more detailed in the study. The results are verified with both simulation and experimental study.
Using Crowdsourced Data to Improve Models of Traffic Crash Propensity: Tennessee Highway Patrol Case Study

Crowdsourced mobile applications such as Waze can provide real-time and historical data about roadway conditions, when and where users are active. In a previous study, we demonstrated that statewide crash models based on integrated Waze, traffic volume, census, and weather data give reliable hourly estimates of police-reportable crashes in 1-mi area grids at 1-h timescales. Here, we extend our analytical methods to test an application of Waze traffic alerts to a crash prediction model used to guide law enforcement resource allocation. The Crash Reduction Analyzing Statistical History (CRASH) model is used by the Tennessee Highway Patrol (THP) to prioritize patrol locations. The model combines historical data such as fatal crashes with current data, including weather forecasts and scheduled special events, to identify areas with a high likelihood of crashes. To more accurately target locations and times with a high crash propensity, we assessed the potential for Waze alerts to improve the temporal and spatial resolution of the CRASH model. We found that with Waze data, we increased the spatial resolution of crash estimates from 42 to 1 mi2 and the temporal resolution from 4- to 1-h time windows, while improving accuracy. The model provides a high-resolution option for the allocation of patrols, which will help THP to optimize the allocation of troopers to the highest-risk locations. Beyond the current implementation in Tennessee, the model’s incorporation of crowdsourced data has shown potential for similar types of data-driven safety approaches elsewhere.