Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Information Systems Research Approaches: Readings and Reflections

Preface Part 1: The impact of group support systems on decision-making and group creativity Introduction 1. Group communications and computer-mediated communication C-L Sia, B Tan & K K Wei 2. Group support systems in Hong Kong: an action research project R Davison &, D Vogel 3. Understanding computer mediated decisions E Trauth & L Jessup 4. Participation in groupware-mediated communities of practice: a socio-political analysis of knowledge working N Hayes & G Walsham Part 2: The impact of IT on organizations Introduction 5. Paradox lost? Firm level evidence on the returns to information systems spending E Brynjolfsson & L Hitt S D Hunter 6. Information technology and the nature of work: From the productivity paradox to the Icarus paradox A Pinsonneault & S Rivard 7. The great divide between qualitative and quantitative and individual and organizational measures Y Chan 8. The impact of IT investment on enterprise performance: a case study M Cline & C S Guynes Part 3: Inter-organizational systems and process improvements Introduction 9. Competing though EDI at Brun Passot: achievements in France and ambitions for the Single European Market T Jelassi & O Figon 10. Business value of information technology: a study of electronic data interchange T Mukhopadhyay, S Kekre & S Kalathur 11. The performance impacts of quick response and strategic alignment in specialty retailing J W Palmer & M L Markus 12. Coordination and virtualization: the role of electronic networks and personal relationships R Kraut, C W Steinfield, A P Chan, B Butler & A Hoag Part 4: IT Impact on markets Introduction 13. Do electronic marketplaces lower the price of goods? H G Lee 14. Next-generation trading in futures markets: a comparison of Open Outcry and Order Matching systems B W Weber 15. Trust, technology and transaction costs: can theories transcend culture in a globalized world? K Kumar, H G van Dissel & P Bielli 16. Reengineering the Dutch flower auctions: a framework for analyzing exchange organizations A Kambil & E van Heck Part 5: Global and societal issues Introduction 17. Cross-cultural software production and use: a structuration analysis G Walsham 18. Key issues in information systems management: an international perspective R Watson, G G Kelly, R D Galliers & J C Brancheau 19. The global digital divide: a sociological assessment of trends and causes G S Drori & Y S Jang 20. Information technology and transitions in the public service: a comparison of Scandinavia and the United States K V Andersen & K L Kraemer Author index Subject index
Photovoltaic based shunt active power filter using p-q theory for enhancing the power quality

This paper proposes a three phase shunt active power filter with photovoltaic array and battery, incorporated with DC-DC boost converter. The filter consists of a three phase voltage source PWM converter with a DC capacitor at the input side. It provides source harmonic reduction with reactive power compensation for loads. The PV array is connected to VSC (Voltage Source Converter) with the help of boost converter in order to maintain the load. The instantaneous p-q theory based control algorithm is proposed for the shunt active power filter. In this algorithm, the PI controller is used to regulate the DC link capacitor voltage of the converter with respect to the reference value and the reference current calculation is done according to it. The hysteresis PWM current controller gives the switching to the converter. The effectiveness of the proposed system is verified by using the MATLAB/Simulink software.
Design Calculations for Embedded Rail in Asphalt

In built-up areas, embedded rail structures have more advantages than conventional paved-in tramways. In the Netherlands, embedded rail structures are constructed solely of cement-bound concrete. These structures perform perfectly under both road and rail traffic and have significantly reduced noise and vibration in the tramway environment. Cement-bound concrete is, however, not applicable in all circumstances. To expand the applicability of embedded rail, the possibilities of embedded rail in asphalt (ERIA) were investigated. Cement-filled, porous asphalt was considered as the bitumen-bound alternative for cement-bound concrete. To determine if ERIA is feasible, the study first examined the stresses and strains that develop in cement-filled porous asphalt and in the bedding mass. The stresses and strains were determined for representative road and rail traffic loading by numerous finite element models. For both the asphalt and bedding mass, material design requirements were calculated. The mechanical properties of the materials were then studied to determine whether or not the materials comply with the design requirements and are suitable for application in this new type of embedded rail structure.
Instantaneous identification of densely instrumented structures using line topology sensor networks

In this paper, a new strategy for vibration‐based structural health monitoring is proposed, specifically designed for smart sensors with edge computing capabilities organized in a line topology. This solution is aimed at maximizing resource optimization and enables the identification of modal parameters even for large or densely instrumented structures, where star‐topology monitoring systems are typically unsuitable. In particular, an efficient data management procedure is proposed to reduce data transmission, thus improving efficiency and minimizing maintenance interventions for battery replacement in wireless applications. The maximum volume of transmitted data can be selected by the user, based on the specific requirements of the network. Although the considerable reduction of data size, the proposed approach enables accurate estimation of the structural parameters in challenging scenarios where other techniques generally fail. Modal parameters are identified in an online fashion, enabling near real‐time detection and localization of early damage. Applications to a real case study instrumented with a dense sensor network show the effectiveness of the proposed approach and the possibility of localizing structural defects in slightly damaged civil structures.
Crushed ice ingestion - a practical strategy for lowering core body temperature

Exercise together with environmentally induced heat stroke continue to pose a problem for military operations in hot climates. A variety of cooling strategies are required by the military to mitigate the risk of heat stroke due to the variety of climates and physical workloads encountered by defence personnel, combined with their individual physical characteristics and uniforms/protective attire. This paper highlights that cooling is traditionally applied as a treatment for heat stroke rather than used to prevent its onset. Recent evidence from the field of sport science demonstrated that cold fluid consumption can act as a heat sink to blunt the rise of core body temperature. Furthermore, the addition of crushed ice to beverages substantially improves its heat storage potential, resulting in decreased core body temperature and enhanced endurance performance. While crushed ice will not be universally available in defence settings, it is a strategy that requires minimal equipment, is relatively quick to prepare, is not labour intensive and does not require the removal of a soldier's uniform. The military should therefore consider the use of crushed ice ingestion as a preventative measure against heat stroke.
Daphnia magna trade‐off safety from UV radiation for food

Abstract Research on diel vertical migration (DVM) is generally conducted at the population level, whereas few studies have focused on how individual animals behaviorally respond to threats when also having access to foraging opportunities. We utilized a 3D tracking platform to record the swimming behavior of Daphnia magna exposed to ultraviolet radiation (UVR) in the presence or absence of a food patch. We analyzed the vertical position of individuals before and during UVR exposure and found that the presence of food reduced the average swimming depth during both sections of the trial. Since UVR is a strong driver of zooplankton behavior, our results highlight that biotic factors, such as food patches, have profound effects on both the amplitude and the frequency of avoidance behavior. In a broader context, the trade‐off between threats and food adds to our understanding of the strength and variance of behavioral responses to threats, including DVM.
A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning

This paper proposed a multiple-objective algorism based on target space partitioning and demonstrated its evolution and optimization. The result showed that this algorism is effective in keeping the even distribution and convergence of the solutions. This paper also proposed an innovative design idea for algorism computation – the concept of tolerance is introduced and by adopting the double-population storage mechanism, the algorism's overall optimization capability is improved.
A Novel Fuzzy Adaptive Speed Estimator for Space Vector Modulated DTFC of AC Drives

In this paper a novel sensorless speed control scheme of Induction Motor (IM) by means of Direct Torque Fuzzy Control (DTFC), PI-type fuzzy speed regulator and fuzzy based Model Reference Adaptive Systems (MRAS) speed estimator strategies has been proposed, which seems to be a boom in sensorless speed control schemes of AC drives. Normally, the conventional sensorless speed control performance of IM drive deteriorates at low speed. Hence the attention has been focused to improve the performance of the IM drive at low speed range as well, by implementing fuzzy control strategies. So, this research work describes a novel adaptive fuzzy based speed estimation mechanism which replaces the conventional PI controller used in MRAS adaptation mechanism. The proposed scheme is validated through extensive numerical simulations on MATLAB. The simulated results signify that the proposed control scheme provides satisfactory high dynamic performance and robustness during low speed operations of IM drive compare to conventional sensorless speed estimator of DTFC scheme.
An introduction to adaptive control

The programming of machine tools includes the fundamental task of producing the prescribed shape of a workpiece with a maximum degree of optimisation. That means, obtaining maximum possible accuracy in minimum possible time, but also with minimum possible expenditure. An optimal programming system can only be found when the geometrical and technical requirements are extended to the tool, the workpiece and the machine tool, and, are correlated in an optimal production system. The imperfections which inevitably occur in any programming system of this type, can be compensated for by adaptive control. This paper outlines the important points to be considered on this subject.
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering

This paper studies a statistical model for heteroscedastic (i.e., power fluctuating) signals embedded in white Gaussian noise. Using the Riemannian geometry theory, we propose an unified approach to tackle several problems related to this model. The first axis of contribution concerns parameters (signal subspace and power factors) estimation, for which we derive intrinsic Cramér-Rao bounds and propose a flexible Riemannian optimization algorithmic framework in order to compute the maximum likelihood estimator (as well as other cost functions involving the parameters). Interestingly, the obtained bounds are in closed forms and interpretable in terms of problem’s dimensions and SNR. The second axis of contribution concerns the problem of clustering data assuming a mixture of heteroscedastic signals model, for which we generalize the Euclidean K-means++ to the considered Riemannian parameter space. We propose an application of the resulting clustering algorithm on the Indian Pines segmentation problem benchmark.
Selection of Optimal Construction Robot Using Genetic Algorithm

This paper describes a genetic algorithm (GA) for construction robot selection. The problem of optimizing the robot's parameters using GA as a tool is analyzed on the model of an automated device for use in the restoration of steel bridges. The robot's key parameters are considered simultaneously, and optimized, with respect to selected criteria. This paper describes the choice of the optimization parameters, sets out the procedure for analysis, and assesses the optimization technique. A detailed example illustrating the methodology is presented, and comments are made on the expected effectiveness of the method and the quality of the expected outcome.
Expression of AQP1, AQP3, AQP4 and AQP5 in upper respiratory tract of buffaloes during different seasons

ABSTRACT Aquaporins (AQPs) are channels that mediate the movement of fluid and solute across the cell membrane. During hot season, evaporation through respiratory mucosa is an important mechanism for heat dissipation in buffaloes. AQP-mediated fluid movement in upper respiratory tract of buffaloes is yet to be studied. In the present study, the gene expression of AQP1, AQP3, AQP4 and AQP5 in upper respiratory tract of buffaloes were investigated during summer, spring and winter seasons. During summer, there was higher gene expression of AQP1 in nasal turbinate than winter. AQP1 was mainly localized in endothelial cells of blood capillaries of nasal turbinate. In nasal turbinate, the relative expression of AQP3 was upregulated nonsignificantly during summer and downregulated significantly during winter. The immunolocalization of AQP3 were observed in epithelial layers of nasal turbinate. The relative expression of AQP4 and AQP5 was upregulated during winter and downregulated during summer. During summer, the expression of AQP1, AQP3, AQP4 and AQP5 were downregulated in tracheal mucosa, which indicated their minor role in evaporative water loss in buffaloes. There is a seasonal variation of different AQPs in upper respiratory tract of buffaloes.
A high step-up Z-source-flyback converter with integrated inductors for photovoltaic applications

ABSTRACT Increasing the voltage gain by means of Z-source network will provide some features such as low-voltage stress of semiconductor devices, low duty cycle of the switch and low reverse recovery problem of output diode that leads to improve the converter performance and efficiency. The proposed converter in this paper employs a Z-source network with coupled inductors integrated with flyback converter to make it appropriate for high step-up applications. One magnetic element is used in this converter, which is its main advantage over previously introduced Z-source converters. Steady-state analysis and operation principles of the proposed converter in continuous conduction mode that leads to low current ripple, and low conductive losses for semiconductor devices due to decreasing the RMS currents are presented. In order to verify the theoretical analysis, experimental results of a prototype are provided. This converter’s high-voltage conversion ratio will result in 300 V output from 20 V input voltage source for 100 W output power.
Effective Treatment Strategies for the Removal of Antibiotic-Resistant Bacteria, Antibiotic-Resistance Genes, and Antibiotic Residues in the Effluent From Wastewater Treatment Plants Receiving Municipal, Hospital, and Domestic Wastewater: Protocol for a Systematic Review

Background The widespread and unrestricted use of antibiotics has led to the emergence and spread of antibiotic-resistant bacteria (ARB), antibiotic-resistance genes (ARGs), and antibiotic residues in the environment. Conventional wastewater treatment plants (WWTPs) are not designed for effective and adequate removal of ARB, ARGs, and antibiotic residues, and therefore, they play an important role in the dissemination of antimicrobial resistance (AMR) in the natural environment. Objective We will conduct a systematic review to determine the most effective treatment strategies for the removal of ARB, ARGs, and antibiotic residues from the treated effluent disposed into the environment from WWTPs that receive municipal, hospital, and domestic discharge. Methods We will search the MEDLINE, EMBASE, Web of Science, World Health Organization Global Index Medicus, and ProQuest Environmental Science Collection databases for full-text peer-reviewed journal articles published between January 2001 and December 2020. We will select only articles published in the English language. We will include studies that measured (1) the presence, concentration, and removal rate of ARB/ARGs going from WWTP influent to effluent, (2) the presence, concentration, and types of antibiotics in the effluent, and (3) the possible selection of ARB in the effluent after undergoing treatment processes in WWTPs. At least two independent reviewers will extract data and perform risk of bias assessment. An acceptable or narrative synthesis method will be followed to synthesize the data and present descriptive characteristics of the included studies in a tabular form. The study has been approved by the Ethics Review Board at the International Centre for Diarrhoeal Disease Research, Bangladesh (protocol number: PR-20113). Results This protocol outlines our proposed methodology for conducting a systematic review. Our results will provide an update to the existing literature by searching additional databases. Conclusions Findings from our systematic review will inform the planning of proper treatment methods that can effectively reduce the levels of ARB, ARGs, and residual antibiotics in effluent, thus lowering the risk of the environmental spread of AMR and its further transmission to humans and animals. International Registered Report Identifier (IRRID) PRR1-10.2196/33365
Intelligent Control System Based on SVM Combined with Soft Sensor for Microbiological Fermentation

The accuracy of SVM in fermentation process is mainly impacted by two factors input variable selection and parameter setting in SVM training procedures. In this paper, a novel method is proposed to solve the problem． The selection problem of SVM parameters and input variables is considered as a compound optimization problem. A new compound optimal objective function based on Akaike information criterion is constructed. In this paper, we propose a new method of soft sensor constructed with generalized support vector machine for microbiological fermentation. Experiment results demonstrate this method is an effective approach for parameter selection and input variable selection and has good performance for soft sensor modeling in microorganism fermentation process.
Determination of the difference between environmental attitudes of 1st and 4th year students of landscape architecture

The present study aimed to determine the difference between the environmental attitudes of freshmen and senior students attending Karadeniz Technical University Landscape Architecture Department in Turkey. The study group included 160 freshmen and senior students at KTU Landscape Architecture. A scale developed by Uzun and Sağlam (2000) was employed as the environmental attitude scale. The scale includes 27 items in environmental behavior and environmental thought subscales. The environmental behavior subscale includes 13 items and the environmental thought subscale includes 14 items. The Cronbach alpha internal consistency coefficient of the environmental behavior subscale was calculated as 0.855, and the Cronbach alpha internal consistency coefficient of the environmental thought subscale was 0.812. Thus, it could be suggested that the scale was valid and reliable. It was determined in the study that the environmental behavior (46.9875) and environmental thought (52.0375) and total environmental attitude scores (99.025) of the senior students were higher when compared to the freshmen (90.3375).
Coupled Simulations of Natural and Forced Circulation Tests in NACIE Facility Using RELAP5 and ANSYS Fluent Codes

In this work the activity performed at the DICI (Dipartimento di Ingegneria Civile e Industriale) of the Pisa University in collaboration with the ENEA Brasimone Research Centre is presented. In particular the document deals with the application of an in-house developed coupling methodology between a modified version of RELAP5/Mod3.3 and Fluent commercial CFD code, to the NACIE (Natural Circulation Experiment) LBE experimental loop (built and located at the ENEA Brasimone research centre). The first part of the document treats the description of the NACIE loop type facility, while in the second part, the developed coupling tool is presented and the obtained numerical results are compared to stand alone RELAP5 results and to data obtained from the NACIE experimental campaign. The experimental tests are performed varying the argon flow rate and the electric power supplied to the heater and both natural and assisted circulation tests are investigated. The numerical model set-up is based on a two-way explicit coupling scheme and 2D and 3D geometrical domain were investigated.Comparative analyses among numerical and experimental results showed good agreement, giving positive feedback on the feasibility and capability of the developed coupling methodology.Copyright © 2014 by ASME
Wide-speed operation of interior permanent magnet synchronous motors with high-performance current regulator

Interior permanent magnet synchronous motors can be applied to applications requiring wide-speed operation. The current vector control algorithm of an interior permanent magnet synchronous (IPM) motor for constant power operation over the base speed is proposed. As the available voltage controlling the armature current vector is small in the flux-weakening constant power region, the current vector sometimes becomes uncontrollable in transient operations because of the current regulator saturation. The high-performance current regulator is also proposed to improve the current responses in the flux-weakening region, which includes the decoupling current controller and the voltage command compensator. The control performances are confirmed by several drive tests with respect to the prototype IPM motor. >
Development of individually-addressable parylene microtube arrays

This paper reports a novel technology of microfabricating out-of-plane parylene microtube arrays with integrated in-plane microchannels. The integrated microchannels enable the individual addressing of the microtubes. These devices permit the delivery of chemicals with controlled temporal and spatial patterns and facilitate the study of neurotransmitter-based retinal prosthesis. To fabricate these devices, through-silicon vias and horizontal trenches are first created by deep reactive-ion etching and isotropic XeF2 etching. Then, the parylene microtubes and microchannels are simultaneously formed by depositing parylene inside the vias and trenches conformally. Two types of devices have been fabricated and characterized. One type of device is rigid with microtube arrays and microchannels fabricated on the same chip. The other type is flexible, integrated with flexible parylene cables, which can be used for in vivo animal study of retinal prosthesis.
Time-domain techniques in microwave circuit simulation

Microwave circuit simulation has always posed particular difficulties especially in highly non-linear applications because of the presence of distributed or electromagnetic structures, which are usually passive and linear, but difficult to incorporate effectively in time-domain analysis. A variety of specialised techniques has evolved to cope with this situation with reasonable success. In recent years, microwave systems are becoming more integrated and complex and often involve `mixed-signals' that may operate over a very wide range of time scales, creating new simulation challenges. This study reviews the issues involved and suggests a practical paradigm for generalised time-domain simulation of microwave circuits.