Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of once daily milking in later lactation on cows with either low or high initial somatic cell coun,ts

The present study was carried out in order to measure the effects of once daily milking on somatic cell count (SCC) of cows which had either low SCS or high SCC at the start of the experiment in late lactation. Thirty six cows were used, 18 with low SCC and 18 with higher SCC. Nine cows from each group were randomly allocated to once or twice daily milking for the four week experimental period in March. The yields of milk, fat, protein and lactose were significantly reduced by once daily milking (P c: 0.01) in both groups. However, the effects of once daily milking on yields was larger for high SCC cows (interaction P < 0.01). Once daily milking significantly increased the concentration of protein (P < 0.001) in both groups and fat (P c 0.01) in only the low SCC group. Once daily milking significantly reduced the concentration of lactose, theeffect being larger in the high SCC group (interaction P c 0.001). SCC (per ml) was increased by once daily milking, but the effect was significant only in the high SCC group (interaction P < 0.10). The total number of cells produced per day were not affected by once daily milking. These results show that SCC can be used with confidence to identify subclinically infected cows in later lactation milked once or twice a day. The results also show that cows with a low incidence of subclinical mastitis can be milked once daily in later lactation, with much less effect on yield of milk and its constituents than would be expected in cows with a higher incidence of infection.
EVALUATION OF BIO EFFICACY AND PHYTO TOXICITY EVALUATION OF INDAZIFLAM 500 SC IN ACID LIME

Field experiments were conducted to evaluate the bio efficacy and phyto toxicity of Indaziflam 500 SC in acid lime at Central Block, Horticultural College and Research Institute, Periyakulam during kharif and rabi seasons of the years 2017 and 2018. Experiments were carried out in Randomized Block Design with ten treatments and replicated thrice. Indaziflam 500 SC was sprayed as pre emergence as well as combination with post emergence herbicides in acid lime before the onset of South West Monsoon and North East Monsoon at kharif and rabi seasons respectively. Indaziflam 500 SC either alone or in combination with post emergence herbicide was completely dissolved while making stock solutions. There were no phyto toxicity symptoms on acid lime at higher doses of pre emergence application and combination with post emergence application of Indaziflam 500 SC. Pre emergence application of Indaziflam 500 SC @ 62.5 g a.i./ha recorded significantly lower no. of weed density on 30, 60, 90 and 120 DAA during both the seasons. Increased weed density was observed in untreated control at all stages of crop growth during both the seasons. Pre emergence application of Indaziflam 500 SC @ 62.5 g a.i./ha recorded significantly lower weed DMP at 90 DAA during both the seasons of the study followed by pre emergence application of Indaziflam 500 SC @ 50 g a.i./ha and resulted in higher weed control efficiency at all stages of observation. Significantly higher acid lime fruit yield of 12.45 and 13.85 t/ha was recorded with hand weeding during kharif and rabi respectively due to weed free condition maintained during entire growth stage of the crop and it was followed by pre emergence application of Indaziflam 500 SC @ 62.5 g a.i./ha.
Road Friction Estimation

This project is part of the Swedish IVSS program. The aim of IVSS is to stimulate research and development for the road safety of the future. Road conditions with low friction have been identified as a frequent cause of traffic accidents. Therefore, technology to automatically detect changes in road conditions and alert the driver or take proper actions with active driver support systems would be a key contribution to increased road safety. The aim of this project was to investigate the possibilities to estimate the tire to road friction. Three different approaches have been developed and evaluated, from concept to early prototypes in test vehicles. In the first method, the estimation of the coefficient of friction is based on the forces and torques that are produced at the front tires at cornering maneuvers. The second method is based on a physical model of the tire behavior and estimates road friction from information on the forces that are produced at straight driving. The third method is based on an optical sensor that classifies the road surface ahead of the vehicle. The three methods have been successfully evaluated in proving ground and public road tests in summer and winter conditions with different tires, and have been compared with reference measurements. The conclusion is that all three methods can be used for tire to road friction estimation and are recommended for further development and industrialization.
Are Women more Ethical than Men or Are Men more Ethical than Women

Ethics is a very broad topic and there is no universal consensus, but in general sense, ethics is defined as the systematic study of conduct based on moral principles, reflective choices and standards of right and wrong conduct (Wheelwright 1959) Much has been written about business ethics but very little is known about the differences between men and women ethical judgments and actions in every day practice. Studies have typically focused on practical ways to define, classify and measure ethical compliance rather than delving into men and women state of mind when forming an ethical judgment. Purpose of the study The purpose of this study is to present information collected from undergraduate students, and assess the degree of perceptual divergence between male and female with respect to ethical inclinations. The growing interest over who is more ethical, male or female makes it important to study. Analysis of this information would reveal the much anticipated answer to this question which has become a hot issue since the Arthur Anderson/Enron scandal. This study reveals that the environment of business is changing and becoming more universal rather than local or regional. Competition is increasing, firms are growing rapidly and technological advances are being made. While the current state of ethical behavior among men and women in the workforce is important, the ability to detect ethical problems that may not be obvious have also become of paramount importance in the study. Over the years U.S corporations have been caught engaging in unethical and in many cases illegal acts such as tax evasion, contractor fraud, “golden handcuffs” and “parachutes”, overly large executive bonuses, the sale of unsafe products, fraud and conspiracy, industrial espionage, and product misrepresentation (Borkwowski and Ugras, 1992; Donaldson and Gini, 1996). During the time when most of the decision to commit these unethical acts were made; the top management teams of the companies which committed these acts were made up primarily by men. For instance, the composition of top management team at Beech-Nut when the company misrepresented their apple juice product; the composition of the top management team at Ford when the company produced unsafe pintos; the composition of the top management team at Dow Corning Corporation when the company produced unsafe breast implants; the composition of the top management team at JohnsManville Corporation when the company concealed the dangers of long-term exposure to asbestos; the composition of top management team when Enron falsified the company financial record and deceived many investors; etc. One of the most important trends today is the increasing participation of women in the workforce, particularly into key decision making positions. This trend has generated research interest in numerous issues concerning the impact of women on business
A robust and reliable data-driven prognostics approach based on Extreme Learning Machine and Fuzzy Clustering

Prognostics and Health Management (PHM) aims at extending the life cycle of engineerin gassets, while reducing exploitation and maintenance costs. For this reason,prognostics is considered as a key process with future capabilities. Indeed, accurateestimates of the Remaining Useful Life (RUL) of an equipment enable defining furtherplan of actions to increase safety, minimize downtime, ensure mission completion andefficient production.Recent advances show that data-driven approaches (mainly based on machine learningmethods) are increasingly applied for fault prognostics. They can be seen as black-boxmodels that learn system behavior directly from Condition Monitoring (CM) data, usethat knowledge to infer its current state and predict future progression of failure. However,approximating the behavior of critical machinery is a challenging task that canresult in poor prognostics. As for understanding, some issues of data-driven prognosticsmodeling are highlighted as follows. 1) How to effectively process raw monitoringdata to obtain suitable features that clearly reflect evolution of degradation? 2) Howto discriminate degradation states and define failure criteria (that can vary from caseto case)? 3) How to be sure that learned-models will be robust enough to show steadyperformance over uncertain inputs that deviate from learned experiences, and to bereliable enough to encounter unknown data (i.e., operating conditions, engineering variations,etc.)? 4) How to achieve ease of application under industrial constraints andrequirements? Such issues constitute the problems addressed in this thesis and have ledto develop a novel approach beyond conventional methods of data-driven prognostics.
Codifying Information Assurance Controls for Department of Defense (DoD) Supervisory Control and Data Acquisition (SCADA) Systems

Abstract : Protecting DoD critical infrastructure resources and Supervisory Control and Data Acquisition (SCADA) systems from cyber attacks is becoming an increasingly challenging task. DoD Information Assurance controls provide a sound framework to achieve an appropriate level of confidentiality, integrity, and availability. However, these controls have not been updated since 2003 and currently do not adequately address the security of DoD SCADA systems. This research sampled U.S. Air Force Civil Engineering subject matter experts representing 8 Major Commands that manage and operate SCADA systems. They ranked 30 IA controls in three categories, and evaluated eight SCADA specific IA controls for inclusion into the DoD IA control framework. Ranking results (p = .972414) indicate a high preference for encryption, and system and information integrity as key IA Controls to mitigate cyber risk. Equally interesting was the perfect agreement among raters on ranking certification and accreditation dead last as an effective IA control. The respondents strongly favored including four new IA controls of the eight considered.
Prototype system for detecting and processing of IEEE 802.11G signals

Abstract : On the modern battlefield, successful and fast communications is a critical issue. So the need for transmitting information in larger amounts through a military high-speed network increases. Thus the military is seeking viable and effective solutions that may fulfill these requirements in an operational environment. This thesis develops a prototype system based on appropriate low-cost software and hardware solutions. This system is able to detect, analyze and process wireless 802.11g signals. The evaluation of the newly designed system proved that it is effective up to distances of about 400 m with a low packet error rate and could be a useful tool for detecting wireless 802.11g networks. After evaluating the system, it was used for capturing wireless signals so that we would determine the effective transmission range and the data throughput of an 802.11g network. We determined that such a wireless network could be used in military operations because it offers high data rates up to 200 m, while it maintains a connection of the wireless clients for distances up to 400 m. In addition, the performance data collected can be used as guidelines for estimating the expected performance in an operational situation and can provide useful information for successful planning.
Effect of crop establishment methods and weed management practices on productivity and economics of wet seeded rice

A field experiment was conducted at Wetland Farm of Tamil Nadu Agricultural University, Coimbatore during rabi 2009-2010 to study the effect of crop establishment methods and weed management practices on productivity and economics of drum seeding and direct planting system of rice. The direct planting system method of establishment proved better in terms of reducing weed density, dry weight of weeds and increased plant characters, viz., leaf area index, dry matter production, productive tillers and higher grain yield (11%) more compared to drum seeding method of establishment. Whereas, the drum seeding recorded less cost of cultivation (Rs 16,268) and comparable B: C ratio (2.9). Among weed management practices the pre-emergence application of pretilachlor + safener (sofit) @ 0.45 kg a.i. ha-1 on 3 DAS + cono weeding on 45 DAS was very effective to realize higher weed control efficiency (86%), increased productivity and economics (BC ratio 3.4) and it was comparable with pretilachlor + safener (sofit) @ 0.45 kg a.i. ha-1 on 3 DAS + motorized weeding on 45 DAS which recorded BC ratio (3.3).
Tacit knowledge, learning and expertise in dry stone walling

This is a detailed study of learning in the context of dry stone walling. It examines what happens in the learning situation. The aim of this work was: 'To understand the nature of expertise in dry stone walling, how it is understood by those practising the craft, and how it is transmitted to others'. The main research questions were, therefore: What happens when dry stone wallers are learning their craft? How do they acquire expertise in dry stone walling? How is this learning communicated? This process necessitated developing a way of engaging with the practitioners, eliciting descriptive data about what they were doing, and why they were doing it, through interviews (or conversations) with both individuals and groups, whilst they practiced their skill. Twenty three wailers were interviewed as they worked, building walls. The material obtained was analysed under seven different themes: 'Knowing how' The use of tacit knowledge or intuition 'Flow' Constant decision making, reflection and learning from mistakes Individual and subjective variations and experiences The relevance of emotion The use of 'rules of thumb' or maxims. Learning walling does not fit simply into any of the seven themes. It is contextualised, complex and individual. It demonstrates tacit knowledge and intuition. It involves emotion, sometimes consciously, sometimes not. It involves memory, problem solving, and learning from mistakes, and reflection. Maxims or 'rules of thumb' were a key element in the learning process at all stages. Linear stages of learning were not evidenced. Deep understanding of the practice is evidenced, and the wider learning and teaching implications are explored.
EFFECTS OF TWO PLYOMETRIC TRAINING PROGRAMMES OF DIFFERENT INTENSITY ON VERTICAL JUMP PERFORMANCE IN HIGH SCHOOL ATHLETES

Although plyometric training is a significant component of most conditioning programme designs, little research exists with regards to the design/structure of specific plyometric training interventions and the intensity involved. The aim of this study was to compare the effect of intensity manipulation on a 6-week plyometric training programmes on vertical jump performance. Eighteen healthy adolescent male subjects were randomly allocated to a periodised plyometric intensity (INCR), a constant moderate plyometric intensity (CONS) and a control (CONT) group, for a 6- week plyometric training programme. Pre- and post-training measurements of net impulse, vertical take-off velocity, jump height and peak force were calculated from a countermovement jump. Contact time and flight time, rebound height and reactive strength index were calculated from a drop jump. INCR and CONS groups achieved improved vertical jump performance compared to CONT (P 0.05) between CONS and INCR for any of the performance variables, there was a trend for greater improvement for the INCR group. In conclusion, manipulation of exercise intensity for short duration plyometric training could be less significant than the intervention itself. Longer training durations and density as well as consideration of specific plyometric exercises merit further investigation.
Modeling decision making related to incident delays during hurricane evacuations

MODELING DECISION MAKING RELATED TO INCIDENT DELAYS DURING HURRICANE EVACUATIONS Robert Michael Robinson Old Dominion University, 2010 Director: Dr. Asad J. Khattak Successful evacuations from metropolitan areas require optimizing the transportation network, monitoring conditions, and adapting to changes. Evacuation plans seek to maximize the city's ability to evacuate traffic to flee the endangered region, but once an evacuation begins, real time events degrade even the best plans. To better understand behavioral responses made during a hurricane evacuation, a survey of potential evacuees obtained data on demographics, driving characteristics, and the traffic information considered prior to and during an evacuation. Analysis showed significant levels of correlation between demographic factors (e.g., gender, age, social class, etc.) and self-assessed driver characteristics, but limited correlation with the decision to take an alternate route. Survey results suggest evacuees' decisions to divert are functions of the length of time a driver has been in congestion, the amount of travel information provided, and its method of delivery. This association differs significantly from those identified by other studies that focused on routine, non-evacuation, conditions. A decision-making model that forecasts decision tendencies using these factors was created. The model was integrated in and tested using a dynamic evacuation simulation. The combined model and simulation allow assessment of the impacts traveler information content, timing, and method of delivery have on traffic flow and evacuation times, imitating the impact of traffic information systems. The effectiveness of alternate route use was assessed by measurements of total vehicle volumes processed and queue persistence. Effectiveness was highly dependent on the road network in the immediate vicinity, especially the number of accesses to the alternate route and vehicle capacity on the alternate route and accesses. Integration of the decision-making model in a dynamic hurricane evacuation simulation is unique to this study. This study yields a greater understanding of evacuee decisions and factors associated with related travel decisions. It provides the novel integration of a behavioral model and a dynamic evacuation simulation, increasing the realism of evacuation planning and providing a valuable tool supporting the decision process. Understanding gained may contribute to reduced evacuation times and enhanced public safety.
An online home for the homeless: A content analysis of the subreddit r/homeless

There is currently a little observational work exploring homeless peoples’ digital networking behaviors, with previous research relying on limited self-report data. This study fills this gap through a qualitative thematic analysis of the public subreddit r/homeless. We analyzed the 30 most commented posts on the subreddit from each month of 2019, examining a total of 360 posts. We find that r/homeless contributions primarily center around (a) commentary on social issues, (b) communication of needs and concerns, (c) offering of care and support, and (d) online community management and engagement, suggesting that homeless individuals not only leverage the r/homeless subreddit to gain support and information, but to generate discourse around larger societal issues. Evidence of both bridging and bonding ties was present on the subreddit, with bonding ties being especially valued and sought after by homeless users, contributing to the growing literature on the relationship between social capital, social media, and homelessness.
Calibration for the Sensitivity Matrix of the Collins Strain Gauge Balance

Abstract : DSTO operates a low speed wind tunnel within the Air Vehicles Division of the Platforms Sciences Laboratory. Air speeds up to approximately 90 m/s can be produced in the test section which is 2.7 m wide by 2.1 m high. A six-component Collins internal strain-gauge balance is used to measure forces and moments on a model under test. A manual calibration of this balance has been carried out to determine the sensitivity matrix for the new amplifiers and wiring system integrated into the low speed wind tunnel data acquisition system following its upgrade in 2000. With the new sensitivity matrix the maximum standard error of the loads measured by the strain-gauge balance was 0.19%.
It is worth a visit! Website quality and visitors’ intentions in the context of corporate museums: a multimethod approach

ABSTRACT Over the last years, the use of technology has become a crucial part of a visitor’s experience in a cultural context. This proved to be even more important in the last months when the Covid-19 pandemic crisis spurred museums and other cultural institutions to use digital tools to deliver their services online. In this changing scenario, digital technologies appear as powerful tools also for corporate museums, held and run by private companies as precious vehicles to share organizational past, values and identity with different stakeholders. The present study is aimed at identifying the website elements that affect users’ intentions in the unexplored context of corporate museums. To this aim, an innovative multimethod approach was used. Drawing on sample data from 736 users of four different Italian corporate museums’ websites and combining Fuzzy-set. Qualitative Comparative Analysis (fsQCA) and Partial Least Squares Structural Equation Modelling (PLS-SEM), the current investigation shows that the intention to visit a corporate museum depends on elements that are related to both the digital environment and the social context.
Recommended Guide for Next Generation of Transportation Design Build Procurement and Contracting in the State of Georgia

The overall objective of this research project is to develop a systematic approach that evaluates the appropriateness of Design Build Project Delivery System for a transportation project. State departments of transportation (DOTs) can benefit from this systematic assessment approach and better implement the Design Build Project Delivery System in highway construction programs by selecting the projects that are the most appropriate candidates for Design Build. The authors initially analyzed and documented state of practice of Design Build across State DOTs in the United States. Several structured interviews with representatives from three State DOTs (Colorado, Virginia, and Florida) were also conducted to further enhance understanding about the state of practice in using Design Build Project Delivery System in these DOTs. The detailed interviews of these three State DOTs helped the research team understand that a systematic, transparent, and consistent approach towards the application of Design Build Project Delivery System is critical in the success of Design Build programs in State DOTs. The most pertinent findings of this research are: (1) a systematic approach that evaluates the appropriateness of Design Build Project Delivery System for a transportation project; (2) a systematic high-level risk allocation for Design Build projects; (3) a systematic approach that evaluates the appropriateness of procurement methods for a Design Build project; and (4)a Design Build Guidebook that describes the process of evaluating the appropriateness of Design Build Project Delivery System, initial risk allocation in Design Build contracts, and assessment and selection of procurement methods for Design Build projects.