Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting the Performance of Belt Filter Presses Using the Crown Press for Laboratory Simulation

Abstract : Belt filter presses (BFPs) are among the most commonly used devices to dewater wastewater sludge. The concept used by a BFP to achieve dewatered cake solids is relatively simple; however, replicating this performance in the laboratory in order to predict the performance of a BFP with reasonable reliability has proven to be a challenge. The Crown Press is one tool that has been shown to replicate the performance of anaerobically digested sludge on a BFP. This study used the Crown Press to replicate and predict the performance of waste activated sludge (WAS) from the Mauldin Road wastewater treatment plant on BFPs. Several operational variables, including belt speed, belt tension, polymer type, and polymer dose, were changed on the Crown Press to predict how the changes on the BFP would affect performance. Two polymers were chosen to be tested on the BFPs at Mauldin Road based on Crown Press predictions. The first polymer performed the same as the plant's current polymer in the lab, and the second performed better (achieved higher final cake solids) than the current polymer. These predictions were borne out in the BFP tests, showing that the Crown Press predictions were accurate. The Crown Press predictions were also compared to the predictions made by the capillary suction time (CST) and specific resistance to filtration (SRF) tests. The Crown Press provided more information regarding the affect of polymer type and dose on cake solids than either CST or SRF. The Crown Press was shown to be a viable tool to assess potential changes in BFP performance with WAS when operational variables change.
Correlation Analysis of Template Generality and Output Evaluation in Dialogue Response Generation

In recent years, there are many dialogue systems selecting an appropriate response from a dialogue database. However, when the number of sentences in the database is small, it may not contain an appropriate sentence in an open domain setting. Therefore, it is desirable to prepare a large number of candidate sentences and to fully expand the dialogue database beforehand. In this research, we try replacing a word with similar words in existing sentences using structured data and generate a lot of similar sentences to augment sentences for a dialogue database. Also, we evaluated the templates and created sentences and verified the validity of the evaluation.
E‐business capabilities model

Purpose – The purpose of this paper is to present a conceptual framework to evaluate e‐business strategic capabilities using structural equation modelling (SEM) approach.Design/methodology/approach – The paper identifies three e‐business capabilities, namely business strategy, supply chain strategy and e‐business readiness. These capabilities are further decomposed under technology, organization and people dimensions to assess their contribution for business effectiveness. A questionnaire is designed and implemented using SEM technique. Survey data from 143 firms from the UK are collected to test our theoretical model. In particular, we have tested a positive, mediating/reciprocal relationships among multidimensional measures of business strategy, supply chain strategy and e‐business adoption. Further hypotheses are developed to evaluate a direct positive impact of e‐business on company's performance.Findings – This empirical analyses demonstrate several key findings: success of e‐business in UK firms is .
Coupled Processes in Subsurface Deformation, Flow, and Transport

"Coupled Processes in Subsurface Deformation, Flow, and Transport" presents a rational and unified treatment of coupled processes, with emphasis on the coupling and feedbacks present where solid deformation, fluid flow, and solute transport combine, and in the representation of heterogeneous media through multi-porosity approaches. Analytical and numerical solutions are presented for subsurface systems subjected to varying mechanical, thermal, and chemical disturbances. This is an invaluable reference book or teaching text, from which civil, mining, petroleum, environmental, chemical, process, and geological engineers, and geological scientists will gain an understanding of the theoretical bases and connections between deformation, flow, and transport in the subsurface. Likewise, readers will learn to distinguish between coupled and uncoupled processes and their respective restraints and significances, comprehend the effects of heterogeneities on deformation, flow, and transport in the subsurface, review or learn popular and special analytical and numerical methods in the related fields, and link fundamental theories with practical applications in multidisciplinary areas. Significant, new, and never before published concepts, are included.
Parameters estimation of the d.c. electrothermal model of the bipolar transistor

This paper concerns the problems of the parameter values estimation of d.c. electrothermal model of the BJT formulated for circuit analysis with SPICE. In this case, PARTS software available in SPICE cannot be used. In the paper, a new estimation algorithm for d.c. electrothermal model of the BJT is proposed. The form of the electrothermal BJT model is also presented. The estimation algorithm implemented into the computer‐controlled measurement set allows one to derive the values of the parameters automatically after the measurements of the selected isothermal characteristics and proper calculations. Copyright © 2002 John Wiley & Sons, Ltd.
High-throughput Phenotyping with Temporal Sequences

Objective High-throughput electronic phenotyping algorithms can accelerate translational research using data from electronic health record (EHR) systems. The temporal information buried in EHRs are often underutilized in developing computational phenotypic definitions. The objective of this study is to develop a high-throughput phenotyping method, leveraging temporal sequential patterns of discrete events from electronic health records. Materials and Methods We develop a representation mining algorithm to extract five classes of representations from EHR diagnosis and medication records: the aggregated vector of the records (AVR), the traditional immediate sequential patterns (SPM), the transitive sequential patterns (tSPM), as well as two hybrid classes of SPM+AVR and tSPM+AVR. A final small set of representations were selected from each class using the MSMR dimensionality reduction algorithm. Using EHR data on 10 phenotypes from Mass General Brigham Biobank, we trained regularized logistic regression algorithms, which we validated using labeled data. Results Phenotyping with temporal sequences resulted in a superior classification performance across all 10 phenotypes compared with the AVR representations that are conventionally used in electronic phenotyping. Although this study only utilizes the diagnosis and medication records, the high-throughput algorithm’s classification performance was superior or similar to the performance of previously published electronic phenotyping algorithms. We characterize and evaluate the top transitive sequences of diagnosis records paired with the records of risk factors, symptoms, complications, medications, or vaccinations. Discussion The proposed high-throughput phenotyping approach enables seamless discovery of sequential record combinations that may be difficult to assume from raw EHR data. A transitive sequence can offer a more accurate characterization of the phenotype, compared with its individual components. Additionally, the identified transitive sequences of a given phenotype reflect the actual lived experiences of the patients with that particular disease. Conclusion Sequential data representations provide a precise mechanism for incorporating raw EHR records into downstream Machine Learning.
The Targeting Task Performance (TTP) Metric A New Model for Predicting Target Acquisition Performance

Abstract : In Figure 1.1, the soldier is using an imaging sensor, hoping to quickly identify whether the tank is a threat, This report describes a model which predicts the probability that he connectly identifies the target. The problem is tackled in two parts. First, the soldier's quality of vision when using the sensor and display is quantified. Most of the report is devoted to this topic. Second, the relationship between quality of vision and peforming a visual task, such as identifying the tank, is discussed.
Gas Path Analysis Applied to Turbine Engine Condition Monitoring

An approach is presented to turbine engine gas path analysis and monitoring, which permits the isolation of single or simultaneous multiple engine faults, with a quantitative assessment of their relative' severity. The software approach is described, showing features of its mathematical development and thermodynamic justification. Measureable engine parameters are treated as dependent variables, changes in which are mathematically interrelated to changes in component performance brought about by physical engine faults. Typical results are presented from real programs, wherein engine data were analyzed to provide meaningful and verified diagnoses of single and multiple engine faults.
Impact of out-of-cell interference on strongest-users-only CDMA detectors

A randomly spread direct sequence code division multiple access (DS-CDMA) multi-cell system operating in flat fading is considered. The model adheres to A.D. Wyner's infinite linear cell-array setting (see IEEE Trans. Inform. Theory, vol.40, p.1713-27, 1994), where only adjacent-cell interference is present, and characterized by a single parameter, 0/spl les//spl alpha//spl les/1. Users are assumed to employ equal rates and transmit powers. The receiver ranks the intracell users according to their received powers, and decodes only the subset that can be reliably decoded. Confining the discussion to asymptotic analysis (in terms of number of users and processing gain), we study four multiuser detection strategies, differing in the amount and type of information available to the receiver with respect to (both intracell and out-of-cell) interfering users. The total capacities under outage constraint, derived as functions of the fraction of users that cannot be reliably decoded (equivalent to the "outage probability"), are analyzed and compared.
The Perspective of Users After the Trial of the Electronic Record System in Home Health Care Unit

The urge of using electronic systems in healthcare services especially in hospital via hospital information system become more and more, recently. With the new approaches for medical technology, many patient medical data in forms of electronic records are rapidly requested. Changing from paper-based information to electronic-based systems is very difficult task with many obstacles regarding on the implement processes, especially from the operating teams. Home healthcare unit at Ramathibodi hospital is one of the unit that requires co-operate from many caretakers and many health divisions, and thus require intensively data interexchange. The electronic home healthcare record system (EHHCRS) was designed with the concept of providing the healthcare teams with the ease of gathering patient information. Therefore after launching the EHHRCS, the survey inquiring healthcare team opinion is required. This paper presented a perspective survey from different users for the new electronic system. The new system involved the perspective considerations from the users, especially who directly involved the system. The results after trialed the EHHCRS demonstrated that all of participants in HHC's unit had good attitude to information technology and HIS.
Report on integration of data and publications

Opportunities for Data Exchange (ODE) is a FP7 Project carried out by members of the Alliance for Permanent Access (APA), which is gathering evidence to support strategic investment in the emerging e-Infrastructure for data sharing, re-use and preservation. This report sets out to identify examples of integration between datasets and publications. Findings from existing studies carried out by PARSE.Insight, RIN, SURF and various recent publications are synthesized and examined in relation to three distinct disciplinary groups in order to identify opportunities in the integration of data. These groups are Researchers, Publishers and Libraries/Data centres. Opportunities identified for each group have been scoped against seven criteria: Availability,Findability, Interpretability, Reusability, Citability, Curation and Preservation. Opportunities to improve the linking of data and publications have been identified for each stakeholder group and mapped against each of the criteria in tables at the end of this summary. Based on an examination of the available research and literature, incentives and barriers relating to data exchange are identified for each disciplinary group. The content of a draft of this report formed the basis of a workshop in June 2011 with professionals from research libraries. The workshop served to validate this opportunities and issues identified in this report.
Evaluation of a Hybrid Architecture for Security in Internet-of-Things

The device miniaturization revolution has brought an increase of technology in almost all layers of our society, changing the way we interact with either a man-made or enhanced natural environment. But, this device miniaturize implies also a reduce of their performances, therefore limiting the possibility of integrating a standard security solution. A new branch of cryptography, namely lightweight cryptography, tries to address security issues in small devices. Yet, given the multiple hardware solutions and architectures available on the market, a developer of lightweight cryptographic algorithms can be overwhelmed. In this paper we propose a hybrid architecture comprised of three hardware architectures thus ensuring a minimum level of heterogeneity that a mixed-environment is required to have when testing lightweight algorithms.
Empirical Assessment of Performance of Dangote Cement Plc: An End-Users’ Perspective

End-users, who are the focus of this assessment of performance in respect of Dangote Cement Plc, have been regarded as the most important stakeholder of any business activity. Previous works have not showcased an assessment of performance based on an end-user’s perspective which is why this study sets out to resolve the problem concerning how end-users react to market changes when patronizing the Nigeria cement manufacturing industry. Simple regression model was used to test the hypotheses – to show the relationships between the dependent variable - Cement Production Level (CPL) and the independent variables - Annual Average Price per bag of Cement (AAPC) and Turnover (TO). The study found that the explanatory variables portrayed significant positive relationships with CPL. In both cases, this relationships were very strong because the correlation coefficients (R) were above 97% and the adjusted coefficients of determination (adjusted R 2 ) which are the explanatory variables showed that there was more than 62% significance in their relationships with CPL. This means, that over 97% of Dangote Cement Plc’s production (supply of cement) succeeded in keeping prices up 62% of the time. The paper found that end-users increasingly continue to patronize products of necessity even when they are produced by a firm quite monopolistic in nature because they have no near substitutes. As a result, there is a policy implication that even though end-users expect quality products, great value, or a compelling brand and would equally avoid products of companies that fail to deliver on customer service, they (end users) may have no succor other than a regulatory regime set by the Government especially where monopolistic goods of necessity (such as cement) are concerned. Accordingly, the study recommends that government (or its agency) should set up minimum production volume benchmarks, regulate margins and establish price ceilings to protect the end-user.
The Role of Energy Balance and Metabolism on Reproduction of Dairy Cows

This information was presented at the 2012 Cornell Nutrition Conference for Feed Manufacturers, organized by the Department of Animal Science in the College of Agriculture and Life Sciences at Cornell University. Softcover copies of the entire conference proceedings may be purchased at http://www.ansci. cornell.edu/dm/proceedings_orders. html or by calling (607)255-4285.
AN ASSESSMENT OF BUILDING ELEMENTS' PRONENESS TO VARIATION IN NIGERIA

Variations in construction had been studied by a number of researchers in the light of its causes and effects on project delivery, thereby taking for granted the susceptibility of building elements to variation. Thus, this paper becomes imperative to fill the gap with a view to examining the proneness of building elements to variation and assessing the control measures of proneness of building elements to variation before and during construction process. Data were collected using structured questionnaires administered on construction professionals in Lagos metropolis. Systematic sampling technique was employed in the administration of the questionnaire to consulting firms, contracting firms and client organizations within the built environment in the study area. The data were analyzed using statistical methods of average, percentage, relative significant index (RSI) and Spearman rank-order correlation coefficient. The results of the analysis revealed that excavation and fillings, concrete work at substructure, block work at substructure, roof and wall finishes were ranked highest of the building elements that were highly susceptible to variation. While internal doors, disposal installation, water installation, ventilation system, windows and external doors respectively were less susceptible to variation during construction processes of educational building projects in Nigeria. The paper further identified involvement of professionals at initial stage of project, client's involvement at planning and design phase, clear and thorough project brief and thorough detailing of design respectively as control measures of proneness of building elements to variation. The study recommended that the identified building elements which have been known to have a high degree of susceptibility to variation are to be given utmost consideration during the design and construction process in order to minimize their effects and contributions to variation with overall aim to improving construction project delivery.
Quorum structures in distributed systems

Quorum-based algorithms are an important class of distributed algorithms because they gracefully tolerate node and communication line failures and can be used in many different applications, including: decentralized consensus, distributed mutual exclusion, and replica control. These algorithms can be formalized in terms of the data structures they use. These data structures, called quorum structures, include: quorum sets, coteries, and bicoteries. There are two different types of quorum structures: dominated and nondominated. In general, nondominated quorum structures exhibit better performance than dominated quorum structures. Quorum structures can be constructed by using many different methods. One very well known method is to use quorum consensus (weighted voting). However, quorum consensus cannot be used to construct all quorum structures. In order to improve performance, some authors have constructed quorum structures by arranging the nodes in a specific logical structure, such as a tree. These protocols include: the tree protocol, hierarchical quorum consensus, the hybrid replica control protocols, and the RST protocol. In this dissertation, we present a more general method, called composition. Two different types of quorum structures are defined: simple and composite. Composite structures are quorum structures constructed by composing existing quorum structures. Simple structures are all other non-empty quorum structures. Composition provides a natural method to construct a wide range of different quorum structures in an arbitrary network or even in a collection of interconnected networks. In particular, all of the above protocols can be generalized by using composition. In general, any structures, simple or composite, can be used to construct composite structures. Furthermore, if the simple structures used to construct a composite structure are nondominated, then the resulting composite structure is also nondominated. Finally, we present several efficient methods to evaluate composite structures. These include: the quorum containment test to determine if a given set contains a quorum, a method to compute the availability of a composite quorum set, and a method to compute the power of each node in the system, called the absolute Banzhaf index.
An integrated closed-loop supply chain model with location allocation problem and product recycling decisions

Environmental pollutions caused by improper abandoned cartridges increase dramatically nowadays. In Hong Kong, due to abundant quantity of cartridges being used, producers have to optimise their forward and reverse networks to maximise the recycling rate and their profits. In this paper, a comprehensive closed-loop supply chain (CLSC) model is established. This model contains eight partners in CLSC and describes the existing cartridge recycling situation in Hong Kong. In the literatures, many CLSC models were established and studied, but few of them analysed the delivery activity for different kinds of materials extracted from the used products and also, few papers studied the situation that used products are classified into good and poor quality. In this model, delivery activities of different materials are considered and the used cartridges are classified into good-quality ones and poor-quality ones. Producers will have different methods to process them. This problem is formulated into an Integer programming model. Since both delivery routes and delivery quantities problems are known to be NP hard, a novel modified two-stage genetic algorithm (GA) is proposed. A new two-stage encoding algorithm in the proposed GA reinforces the genetic searching ability in tackling this kind of problem. As the model is new in literature, we used Integer Programming to solve the testing instances and benchmark with the proposed algorithm. The results show that a near-optimal solution can be obtained by the proposed GA in a much shorter computational time.