Miracle-dz/UniFAR-FTUs huggingface dataset:
Ways to Reduce the Amount of Heterocyclic Aromatic Amines Formed in Meat Products. The Review

- This review presents the results of studies on the issue of reducing the amount of heterocyclic aromatic amines formed in meat products. The analyzed works have shown that it is possible to influence the amount of heterocyclic aromatic amines through their precursors, heat treatment of meat products, and the introduction of non-meat ingredients into the recipe. An analysis of works devoted to the effect of temperature and duration of heat treatment on the amount of heterocyclic aromatic amines formed is presented. As a result of the analysis, it was found that free amino acids, moisture, and the water-holding capacity of the raw material play an essetial role in the formation of heterocyclic aromatic amines. Many analyzed works proved the inhibitory effect of vitamin E in the formation of heterocyclic aromatic amines. Inhibitory effects of pomegranate seed extract, artichoke extract are described. The impact of replacing animal fat with vegetable oils on the amount of heterocyclic aromatic amines formed is described. aromatic amines, meat products, inhibitors, precursors, catalysts, heat treatment, extracts, antioxidant activity. Abstract- This review presents the results of studies on the issue of reducing the amount of heterocyclic aromatic amines formed in meat products. The analyzed works have shown that it is possible to influence the amount of heterocyclic aromatic amines through their precursors, heat treatment of meat products, and the introduction of non-meat ingredients into the recipe. An analysis of works devoted to the effect of temperature and duration of heat treatment on the amount of heterocyclic aromatic amines formed is presented. As a result of the analysis, it was found that free amino acids, moisture, and the water-holding capacity of the raw material play an essetial role in the formation of heterocyclic aromatic amines. Many analyzed works proved the inhibitory effect of vitamin E in the formation of heterocyclic aromatic amines. Inhibitory effects of pomegranate seed extract, artichoke extract are described. The impact of replacing animal fat with vegetable oils on the amount of heterocyclic aromatic amines formed is described.
Dynamic Routing of Trucks and Truck Platoons Using Real-Time Traffic Simulators Report from the Pacific Southwest Region University Transportation Center

Today’s vehicle navigation systems have limited ability to predict. The lack of coordination among different shippers and of information on the transport network make it difficult to predict changes in the transportation networks due to upcoming loads. The need for an intelligent freight assignment system becomes more urgent with the surge of technology development in battery electric trucks and platooning techniques. In this project, we developed a load balancing mixed freight coordinated assignment system with the inclusion of diesel and electric trucks on realistic road networks aiming for the optimal total combined cost of energy consumption and time. A Co-Simulation Optimization method is proposed to solve the problem. A distributed version of the Co-Simulation Optimization method is proposed to address the complexities induced from scaling the road network. Platooning techniques are also implemented in the optimal assignment procedure and analyzed in this project. The coordinated truck assignment system considering the characteristics of mixed freight fleets can reduce the operational cost and encourage the deployment of electric trucks in order to reduce emissions and improve air quality. The Pacific Southwest Region conducts an integrated, multidisciplinary program of research, education and technology transfer aimed at improving the mobility of people and goods throughout the region. Our program is organized around four themes: 1) technology to address transportation problems and improve mobility; 2) improving mobility for vulnerable populations; 3) Improving resilience and protecting the environment; and 4) managing mobility in high growth areas. Abstract Today’s vehicle navigation systems have limited ability to predict. The lack of coordination among different shippers and of information on the transport network make it difficult to predict changes in the transportation networks due to upcoming loads. The need for an intelligent freight assignment system becomes more urgent with the surge of technology development in battery electric trucks and platooning techniques. In this project, we developed a load balancing mixed freight coordinated assignment system with the inclusion of diesel and electric trucks on realistic road networks aiming for the optimal total combined cost of energy consumption and time. A Co-Simulation Optimization method is proposed to solve the problem. A distributed version of the Co-Simulation Optimization method is proposed to address the complexities induced from scaling the road network. Platooning techniques are also implemented in the optimal assignment procedure and analyzed in this project. The coordinated truck assignment system considering the characteristics of mixed freight fleets can reduce the operational cost and encourage the deployment of electric trucks in order to reduce emissions and improve air quality.
Effect of combined dry-wet irrigation and microbial dynamics on soil nutrient 1 bioavailability

26 Alternate wetting-drying (AWD) cultivation with implication on soil microbiome, nutritional 27 dynamics and rice yield during pre-monsoon (boro) and monsoon (aman) season are not well 28 studied. In the present 4-year field study the impact of AWD (in pre-monsoon season) is compared 29 with conventional mode of irrigation (i.e. flooded field in monsoon season). The release of soil 30 nutrients into the soil-aqueous system, influencing microbial populations and modulating the redox 31 status were explored. Results indicated an increase in total content as well as bioavailability of 32 selected nutritional elements (N, P, K, Fe, Ca, Mg, Cu and Zn) by 16-54% in the pre-monsoon 33 cultivation relative to monsoon cultivation. Three plant growth phases (developing, milking and 34 harvest) were considered to check the nutrient modulations in soil and plant tissues along the 35 continuum plant growth and elemental uptake. Krona charts, relative abundance, rarefaction curve 36 and multivariate analysis of metagenomics data showed that the pre-monsoon soil was more 37 enriched and maintained a balance between soil pH and microbial biomass than the monsoon soil. 38 Microbial community diversity associated with plant growth phases also found to be different 39 depending on the seasonal alterations. Bacillus sp. , Acidothiobacillus sp. , Pseudomonas sp. , 40 Rhizobium sp. , Burkholderia sp. were predominant in pre-monsoon soil releasing pulses of N, P, 41 K, Ca and Mg whereas Verrucomicrobia was found to be dominant in monsoon soil where Fe was 42 released. This study is a first of its kind that showed the combined effect of season and soil 43 microbes on macro-micro nutritional availability in soil and enhanced plant quality.
A Review on Human Heart Prediction System Using Machine Learning

: Heart disease is a deadly disease that large population of people around the world suffers from. When considering death rates and large number of people who suffers from heart disease, it is revealed how important early diagnosis of heart disease. Traditional way of diagnosis is not sufficient for such an illness. Developing a medical diagnosis system based on machine learning for prediction of heart disease provides more accurate diagnosis than traditional way. In this, a heart disease prediction system which uses SVM algorithm is proposed. 13 clinical features were used as input for the SVM and then the SVM was trained to predict absence or presence of heart disease with accuracy of 95%.
Energy Efficiency Multi task Offloading and Resource Allocation in Mobile Edge Computing

: On edge computing, mobile devices can offload some computing intensive tasks to the cloud so that the time delay and battery losses can be reduced. Different from cloud computing, an edge computing model is under the constraint of radio transmitting bandwidth, power and etc. With regard to most models in presence, each user is assigned to a single mission, transmitting power or local CPU frequency on mobile terminals is deemed to be a constant. Furthermore, energy consumption has a positive correlation with the above two parameters. In a context of multitask, such values could be increased or reduced according to workload to save energy. Additionally, the existing offloading methods are inappropriate if all the compute densities of multiple tasks are high. In this paper, a single-user multi-task with high computing density model is proposed and partial task is offloaded when use the different offload algorithm. Simulated annealing algorithm is the best method to select offloading tasks, which can enhance the offloading ratio and save energy consumption.
A Linear Complementarity Numerical Approach to the Non-Convex Problem of Structures Environmentally Damaged and Strengthened by Cable-bracings Dedicated to Academician Blagovest Sendov's 80th anniversary

A computational treatment is presented for the mathematically rigorous analysis of civil engineering structures, which have been environmentally damaged and subsequently strengthened by cable-elements. The problem is treated as an inequality one, where the governing conditions are equalities as well as inequalities. The cable behavior is considered as nonconvex and nonmonotone one and is described by generalized subdifferential relations including loosening, elastoplastic fracturing and other effects. Using piece-wise linearization for the cable behavior, a linear complementarity problem, with a reduced number of unknowns, is solved by optimization algorithms. Finally, an example from Civil and Environmental Engineering praxis is presented. Keywords-Civil and Environmental Engineering; NonConvex Analysis; Computational Mechanics; Cable-braced structures; Optimization Algorithms;
Private Sector Involvement in Urban Solid Waste Collection: UNESCO-IHE PhD Thesis

This thesis focuses on the private sector involvement in solid waste collection, and the influence of private sector capacity and local governments‘ regulations on private sector performance. Private sector involvement in public service provision evolved to deal with market and government failures (van Dijk, 2008b). The public sector is playing a leading role of purchaser (buyer) on behalf of citizens through subsidies and/or user charges, whiles the private sector is taking on an increasing role as provider (seller) of public services, and being regulated by the public sector to correct market failures associated with ̳public good‘ nature of solid waste service. It is believed that private sector involvement is a way to maintain market discipline and to bring private sector management and technical expertise and private finance into public service to achieve cost efficiency and better service provision (improve service quality) (Cointreau, 1994; Bartone, 2001; van Dijk, 2008b). Even though private sector involvement (PSI) provides opportunities for improved efficiency and service quality, the few studies on PSI in solid waste management in developing countries did not explore the private sector performance to ascertain the expected gains and the factors influencing efficiency and service quality at the firm level. The main objective of this research is to examine the evolving involvement of private sector in urban solid waste collection, and the factors explaining differences in performance of private sector companies. The main research question is: To what extent do capacity and regulation for solid waste provision influence private sector performance? In order to establish the magnitude and causes of performance problems and possible policy interventions to these problems, the following questions are addressed in this study: How has private sector involvement evolved? What is the level of company performance (productivity and service quality)? What internal and external factors explain the level of performance? The study was conducted in the five largest cities (Accra, Kumasi, Tema, Takoradi, and Tamale) in Ghana. These cities were chosen for the study because of
Eflect: Porting Energy-Aware Applications to Shared Environments

Developing energy-aware applications is a well known approach to software-based energy optimization. This promising approach is however faced with a significant hurdle when deployed to the environments shared among multiple applications, where the energy consumption effected by one application may erroneously be observed by another application. We introduce EFLECT, a novel software framework for disentangling the energy consumption of co-running applications. Our key idea, called energy virtualization, enables each energy-aware application to be only aware of the energy consumption effected by its execution. EFLECT is unique in its lightweight design: it is a purely application-level solution that requires no modification to the underlying hardware or system software. Experiments show Eflect incurs low overhead with high precision. Furthermore, it can seamlessly port existing application-level energy frameworks - one for energy-adaptive approximation and the other for energy profiling - to shared environments while retaining their intended effectiveness.
Drug Repositioning via Text Augmented Knowledge Graph Embeddings

Drug repositioning, modeled as a link prediction problem over medical knowledge graphs (KGs), has great potential in ﬁnding new usage or targets for approved medicine with relatively low cost. However, the semantic information in medical KGs is rarely utilized, let alone the external medical databases curated by domain experts. This work attempts to integrate textual descriptions of biomedical KG entities in training knowledge graph embeddings (KGEs) and evaluates their effectiveness for drug repositioning. We implement multiple text augmentation methods on TransE as a case study and further apply the best method on other embedding models. Both qualitative and quantitative error analyses with two novel metrics are conducted to shed light on the effects of adding textual information in our model. We conclude that textual information is generally useful, but it may also backﬁre.
EVALUATION OF DIFFERENT OTT PLATFORMS WITH DATA ANALYTICS TECHNIQUES FOR RECOMMENDING PERSONALIZED CONTENT TO THE USERS.

: In this new era of online platforms, there have been many movie content platforms people use to make their busy life relaxed by watching movies online according to their convenience. But because there exists large datasets of movies it becomes very difficult for the user to search and select a movie. In this paper, we discuss movie recommender systems and its techniques and try to analyze the in-depth problem of why some movies get more fame and what all the factors responsible for a movie or a web-series to gainer recognition by performing Exploratory data analysis and visualizing the pre-processed using Tableau tool which is widely used in this domain. Visualizations depict significant relations and the sentiment of the users behind every movie as well as the parameters being considered and evaluated will eventually be a prominent key for any individual who is involved in this field. Factors mainly the geographic location, genre of the film, recognition of actor and director, the past history of the films directed by that director and many more are to be paid much attention while working in this and which we have very well demonstrated through our research.
Effective Use of Land Resources in Agriculture

Increasing the economic efficiency of the use of land resources is the main sive impact on the result of social production. But salinization, erosion and desertification lead to serious land degradation, which, in turn worsens human health and ecosystem services. The article develops land relations in the agricultural sector, you will analyze the factors that limit the efficiency of the use of agricultural land.
Study of the Effect of ‘Commuting & Working Hours’ on Work Life Balance of Working Fathers in Mumbai

In recent years, work–life balance has become a keyword for balancing workingtime and free time. In particular, TIME is a crucial resource for balancingwork and life, because it can be allocated to either work or free time. We examinethe effect of working hours and commuting time on Work Life Balance, with data collected from a survey. Working time has been an important issue for the ILO ever since the founding of the organization. The establishment of limits on daily and weekly working hours was the subject of the very first ILO Convention: the Hours of Work (Industry) Convention, 1919 (No. 1). The recent economic crisis and the Global Jobs Pact of 2009 have put working-time issues back on the agenda. At the same time, recent trends such as technological advancements enabling tele-working have contributed to the creation of a “24-hour society” where line between work and non-work time is becoming increasingly blurred. This has been coupled with a significant shift away from the “normal” or “standard” working week towards “non-standard” work schedules, for example shift and part-time work, compressed workweeks, weekend work, on-call work etc. The world has changed in the 24-hour, 7 day society, customers expect service at times that suit them. More and More people have to juggle responsibilities at home and in the workplace. And when employees are asked about the WORK LIFE, the three concerns that emerge out more frequently are long working hours, work intensity and commuting hours. Work-Life and Personal-Life and interconnected and interdependent. Spending more time in commuting and working can interfere and affect the Personal-Life, sometimes making it impossible to even complete the household chores. On the other hand, Personal-Life can also be demanding if you have a kid or ageing parents, financial problems or even problems in the life of a dear relative. With the growing diversity of family structures represented in the workforce in the new millennium, it is important that human resource professionals better understand the interface of work and family relationships and resulting impact in the workplace. This paper is trying to bring out the effects of WORKING HOURS on Work Life balance of working men over their various aspects of Work Life Balance such as Work Interference with Personal Life (WIPL), Factors impacting on work-life balance (FIWLB) and Factors impacting on Engagements with the children (FIEWC). Specifically, it has been focused here that the TIME MANAGEMENT lead to attaining equilibrium between professional work and other activities.
Spudsville: Designing a Minecraft Game for learning teaching English as a Second Language

The aim of this study is to design Spudsville, an immersive game environment in Minecraft that can effectively help learners acquire the English language. To create a successful learning experience using Minecraft, the researchers adopted the Agile Model and the Design Thinking approach. The researchers first conducted an analysis through an extensive literature review in order to assess the learners’ needs. Afterwards, they designed and developed a Minecraft world based on the data collected during the analysis phase. The researchers learned that implementing constructivist and behaviorist approaches has benefits, even though applying a cognitivist-learning model to Spudsville could have provided the researchers with more insight on how learner processes information. Making these adjustments could improve Spudsville’s effectiveness and could potentially help the ways in which gamified learning aids with language acquisition
Dexterous robot manipulation

This thesis presents the development and preliminary analysis of a system capable of executing a small number of dynamically dexterous manipulation tasks in a completely autonomous fashion. Specifically it documents the implementation of two different paddle juggling behaviors on a three degree of freedom "direct drive" robot arm guided by a field rate (60 Hz) stereo vision system. The tasks consist of batting artificially illuminated ping-pong balls into specified periodic vertical motions. While these behaviors, the batting of one or two balls into stable vertical trajectories, are themselves only of academic interest, focussing on them has afforded significant progress towards understanding both how more complex behaviors might be designed and how simple "dynamically dexterous" behaviors can be combined to elicit more advanced behaviors.
Workshop “Duality and More”

Register automata (as deﬁned by Kaminski & Frances) are a well-established model for recognizing languages over inﬁnite alphabets. They deﬁne a class of languages which shares many desirable properties of regular languages, but their deﬁnition is not as stable as the one of ﬁnite automata – for example, all the following variants of register automata deﬁne pair-wise nonequivalent classes of languages: deterministic one-way, deterministic two-way, nondeterministic one-way, and nondeterministic two-way. In this talk, I am going to introduce the single-use restriction for register automata which states that every read access to a register should have the side eﬀect of destroying that register’s content. I am going to argue that the single-use version of register automata deﬁnes a robust class of languages. In particular, with the single-use restriction in place, one-way and two-way deterministic register automata recognize the same class of languages. The talk is based on a joint research with Miko(cid:32)laj Boja´nczyk and Nathan Lhote.
A Stakeholder Evaluation of an RN-to-BSN Academic Progression Program

OBJECTIVE The aim of this study was to evaluate programmatic elements supporting BSN attainment by employed nurses holding associate degrees or diplomas, using a stakeholder involvement approach. BACKGROUND Studies have associated higher percentages of baccalaureate-prepared nurses with improved clinical outcomes. Since 2013, the study organization supported an RN-to-BSN requirement with an academic progression benefit program and achieved an 80% BSN goal by 2021. METHODS The Centers for Disease Control and Prevention’s Framework for Program Evaluation was used. A mixed methods approach was orchestrated by a stakeholder team to explore use and importance of programmatic elements, and motivators and barriers for degree attainment, using an online survey and focus groups. RESULTS Respondents revealed a significant association between BSN degree attainment and financial assistance and perceived importance of financial assistance and educational fairs. CONCLUSIONS Validating organizational tactics is important for achieving increased numbers of baccalaureate-prepared nurses and supportive of the cost-effective use of resources.
TRANSMIT DIVERSITY SCHEME FOR DUAL-ANTENNA AERONAUTICAL TELEMETRY SYSTEMS

The use of two antennas on an aeronautical telemetry transmitter is a common practice for overcoming signal obstruction that can occur during air vehicle maneuvering. However, this practice also leads to interference nulls that can cause dramatic degradation in the average signal integrity. This paper discusses the application of a transmit diversity scheme capable of overcoming this interference problem. The development leads to symbol error probability expressions that can be applied to assess the performance of the scheme relative to that of traditional schemes. Representative computational examples demonstrate the potential of the method.