Miracle-dz/UniFAR-FTUs huggingface dataset:
Stable Changing Fluid Shear Stress Promotes Osteogenesis Article Information

Objective: Bone marrow cells encounter various chemical and mechanical stimuli from the internal environment. In vivo, fluid shear stress (FSS) is one of the primary mechanical stimuli that affect bone marrow-derived mesenchymal stem cells (BMCs) activity. Since various cases of FSS influence BMCs activity differently, the purpose of this study is to determine how BMC activity in osteogenesis and osteoclastgenesis is affected by stable and unstable changing FSS.
A CMOS Frequency divider for 2.4/5GHz WLAN Applications with a Simplified Structure

In this paper, a dual-band integer-N frequency divider is proposed for 2.4/5.2 GHz multistandard wireless local area networks. It consists of a multi-modulus imbalance phase switching prescaler and two all-stage programmable counters. It is able to provide dual-band operation with high resolution while maintaining a low power consumption. This frequency divider is integrated with a 5 GHz VCO for multi-standard applications. Measurement results show that the VCO with frequency divider can work at 5.2 GHz with a total power consumption of 22 mW.
Modeling and Simulation of Closed Loop Controlled Interleaved Three Switch Buck Converter Fed DC Drive

This paper deals with modeling and simulation of interleaved buck converter fed DC drive. A new interleaved buck converter with three switches is proposed. Three pulses with a phase shift of 1200 are applied to reduce the ripple in the output. This reduces the ripple in the armature current. Therefore the torque ripple is also reduced. Open loop and closed loop controlled drive systems are modeled using the blocks of Simulink and the results are presented. If the ripple in the armature current is reduced, the losses are reduced and the useful torque produced by the motor is more.
The Influence of Flood and the Variation in Water Quality Index in River Periyar , Kerala , India

Periyar is the longest river in Kerala state. The river overflowed during August 2018 due heavy rainfall and releasing of water from the reservoir of Mullaperiayar Dam. This resulted in flood along the bank of the river and also extended to the nearby areas.Thus it was essential to monitor the quality of the river in order to ensure quality water for domestic and agricultural purposes. The aim of the study was to assess some physico-chemical parameters of river Periyar and present the Water Quality data of the river before and after flood. The Canadian Council of Ministry of Environment Water Quality Index(CCMEWQI)was applied on the analytical result of the parameters to obtain the Water Quality Index which in turn is used to rank the river. The result of the average Water Quality Index showed that three stations out of the ten stations were ranked ‘Marginal’ and the remaining stations were ranked ‘Poor’ in water quality. The overall Water Quality Index showed ‘Poor’ in quality.Managing and protecting water is essential for sustaining life. A continuous water quality monitoring program and proper water safety plan are essential to preserve and improve the water quality.
An Asymmetrical Step-Up Multilevel Inverter Based on Switched-Capacitor Network

This paper presents a transformerless step-up multilevel inverter based on a switched-capacitor structure. One of the main contributions of the proposed topology is replacing the separated DC voltage source with capacitors which are charged at predetermined time intervals. Therefore, a high-level staircase voltage waveform can be achieved by discharging some of these capacitors on the load. The other contribution of the proposed structure is to eliminate the magnetic elements which traditionally boost the input DC voltage. In addition, asymmetrical or unequal amounts of capacitor voltages create more voltage levels, which enable voltage level increments without increasing the number of semiconductor devices. This paper introduces a self-balanced boost Switched-Capacitors Multilevel Inverter (SCMLI) which is able to create a nearly sinusoidal voltage waveform with a maximum voltage of up to 45 times that of the input voltage DC source. Higher level output voltage levels are also achievable by extending the circuit topology. After determination of the switching angles and selecting the proper switching states for each level, an offline NLC method is used for modulation, which eases the control implementation. Analysis, simulation and experiments are carried out for a 91-level inverter (45 levels for positive and negative voltages and one for zero voltage) are presented.
Super-resolution method for data deconvolution from a single acquisition by superposition of virtual point sources

In this work we present a new method for data deconvolution from a single acquisition without a sparsity prior, that allows the retrieval of the target function with superresolution. The measured data are fit by a superposition of virtual point sources (SUPPOSe) of equal intensity. The cloud of virtual point sources approximates the actual distribution of sources that can be discrete or continuous. In this manner only the positions of the sources need to be determined by an algorithm, that minimizes the norm of the difference between the measured data and the convolution of the superposed point sources with the Instrument Response Function. An upper bound for the uncertainty in the position of the sources was derived and two very different experimental situations were used for the test (an optical spectrum and fluorescent microscopy images) showing excellent reconstructions and agreement with the predicted uncertainties, achieving λ/10 resolution for the microscope and a fivefold improvement in the spectral resolution for the spectrometer. The method also provides a way to determine the optimum number of sources to be used for the fit.
Groundwater Resource of Indus Plain Aquifer of Pakistan Investigations, Evaluation and Management

Indus Plain Aquifer is World’s second largest aquifer andyielding more than 80 Billion Cubic Meters (BCM) of the groundwaterannually. Extensive pumping of aquifer iscausing groundwater mining in many parts of the Indus Plain.The aquifer management is becoming complicated because of lack of technical knowledge. This paper has investigated various aspects of groundwater of the Indus Plain Aquifer. Total of 4000 electrical resistivity probeswere conducted at 5 x 5 km grid for the investigated depth of 300 m. The self-potential and vertical electrical sounding were conducted to the depth of 1000 m at regular grid of 20km x20 km. Seismic as well as gravity data was processed in some areas for determination of depth of alluvium aquifer. Groundwater as well as lithological samples were collated at vertical interval of 3m.Several water samples were analyzed for water quality. Electrical resistivity and groundwater quality maps were prepared at vertical interval of 50 m. Groundwater mapping yielded that about 70.6 percent of study area is underlain by usable groundwater. A new fresh groundwater body spreading over an area of 0.81 Mha was discovered inThal Doab.The bulk of groundwater resource was calculated forfour water quality zones.Numerical code Visual Mudflow Premium 4.3 was used for simulation of aquifer system. The simulation of Doabs indicated that average safe yield of Upper Indus Plain Aquifer (UIPA) is about 7.5 BCM /Mha.
The Problem of Dishonesty in Government Safety Nets

Many governments provide benefits to unemployed citizens but someone might claim unemployment even when they actually have a job. Here we use economic experiments to examine how the rules of social insurance institutions affect people’s honesty. In an unemployment game, participants interact in a difficult job market where they can claim unemployment to request help. In Experiment 1, participants were more honest about unemployment when they repeatedly interacted with the same partner compared to when they switched partners. In Experiments 2 and 3, participants could request benefits from a public fund that was financed by taxes on employed workers. When benefits were unregulated, participants frequently (67%) made false unemployment claims. However, when we applied common regulations from real-world unemployment programs, including limits, bans, and fines, participants were dishonest at considerably lower rates (33%-40%). We discuss implications for the efficient relief of hardship and the experimental study of social insurance institutions.
Tomáš Rusý Stochastic Programming Problems in Asset – Liability Management

The main objective of this thesis is to build a multi–stage stochastic program within an asset–liability management problem of a leasing company. At the beginning, the business model of such a company is introduced and the stochastic programming formulation is derived. Thereafter, three various risk constraints, namely the chance constraint, the Value–at–Risk constraint and the conditional Value–at–Risk constraint along with the second–order stochastic dominance constraint are applied to the model to control for riskiness of the optimal strategy. Their properties and their effects on the optimal decisions are thoroughly investigated, while various risk limits are considered. In order to obtain solutions of the problems, random elements in the model formulation had to be approximated by scenarios. The Hull – White model calibrated by a newly proposed method based on maximum likelihood estimation has been used to generate scenarios of future interest rates. In the end, the performances of the optimal solutions of the problems for unconsidered and unfavourable crisis scenarios were inspected. The used methodology of such a stress test has not yet been implemented in stochastic programming problems within an asset–liability management.
Adaptation of Mini Mental State Examination within a Population of Healthy Subjects in Mali: The Mamse

With the improvement of living standards, we are witnessing a rise in life expectancy, with an increase in the elderly population [1]. In both the developing world and the developing world, dementia, a condition particularly affecting the elderly, has increased in population [2,3,4]. Indeed, in 2005, it was estimated that 24.3 million people had dementia worldwide, with 4.6 million new cases per year or one case every 7 seconds. This number is estimated at 42 million for 2020 and 81.1 million for 2040 [5]. An extrapolation of these figures finds for: Africa 3.5 million people reached in 2005 and 6.5 million in 2020; for Mali, 49200 in 2005 and 92000 in 2020. With such substantial numbers, the screening of potentially demented subjects becomes a necessity through the use of an efficient diagnostic tool. The developing countries that we represent must anticipate the very great impact that these pathologies will have on our elderly populations in the years to come. The identification of potentially demented populations is a necessity and this requires the use of a reliable screening tool. Mini Mental State Examination (MMSE) [6] is a screening test to evaluate overall and brief cognitive functions (temporospacial orientation, memory, attention, language skills and visio-spatial capabilities).
Progress in the pathogenesis and treatment of rheumatoid arthritis with sleep apnea hypopnea syndrome

Sleep apnea hypopnea syndrome (SAHS) is a systemic disease rather than a simple sleep disorder. Patients with SAHS usually suffer from daytime drowsiness and repeated apnea during sleep, which has an adverse impact on patients’ life quality and safety[1]. Rheumatoid arthritis (RA) is a systemic disease which causes hyperplasia of synovial membrane, cartilage erosion and joint damage. Synovial membrane is usually the first affected site of RA, presenting as hyperplasia and inflammatory responses of the synovial membrane and causing damage to cartilages and bones. However, the pathogenesis of RA is still not fully clarified. Inflammatory responses are the shared features of both RA and SAHS. Sleep apnea may aggravate inflammatory responses, which in turn cause deterioration of RA. If the symptoms of SAHS cannot be redressed, it will cause multi-system and multi-organ damage. Aggravation of RA is precisely induced by the intense inflammatory response associated with SAHS. Once the symptoms of SAHS are eased, the clinical symptoms of RA will also be improved. The present study attempts to reveal the relationship between the two conditions and review the latest progress in treatment. We hope our research findings can help relieve the clinical symptoms and improve the life quality of patients.
Secure Secret Image carrier using Rubiks Cube and Modified LSB

Data trade amongst sender and recipient turns out to be quick and simple. The nature of information sending, particularly the protection, should be taken note. Hiding, the information is necessary for securing information. It should be possible utilizing methods like cryptography and steganography. This paper defines the image steganography utilizing secret grayscale image and to hide the secret image, the RGB image is used as a cover. Since a secret picture is inserted within a cover, the encrypting procedure is done to give a more dependable security. The encryption technique utilized depends on the principle of Rubiks cube, by moving the pixel position in a digital picture. The modified LSB replacement technique uses in this Steganography works space. The goal of this plane is to get a great character hidden secret picture to put information secret.
Research on the incremental updating algorithm of the association rules with the timing decision

In order to deal with the frequently updating of data in practice, association rules incremental updating algorithm combining with the timing decision begun to be widely studied. Ding Hu gave an association rule difference degree judgment method based on the completely frequent itemsets. This method can fully express the changes of association rules before and after the dataset updating, and reduce the times of the updating of association rules, therefore, this method was widely used. However, this method is not very accurate when calculating the new frequent itemsets. DFUP algorithm (Dynamic Fast Update Algorithm) is proposed in this paper, and this algorithm solves the problem of the above algorithm by introducing a dynamic database.
Simulation of Multiple Implementation Queries

Abstract This work describes methods to extend a conventional query optimizer to model and yield multiple plans per query, and to schedule the resulting multiple-plan packages. This research focuses on one run-time resource, the buffer pool. A query’s plans for a given query are bundled together into a package. At run-time, a scheduler decides when to admit a package, and then chooses one among the plans in an admitted package. The chosen plan is one that is compatible with available buffers as determined by a variety of scheduling policies. The experimental results verified that a single plan as generated by a query optimizer is not the best one when run-time resources are considered.
PENGEMBANGAN PURWARUPA SEMANTIC SEARCH MENGGUNAKAN SEMANTIC WEB RULE LANGUAGE UNTUK PENCARIAN INFORMASI PRODUK

Website which has a search engine such as Google or Yahoo now has become a major alternative to the modern society in seeking news or information even search for products. Search service facilities currently using the word syntax, so the information that is returned does not match users expected. This research was focused on constructing a handphone ontology and a prototype of Handphones product information search semantic web based, the product information was stored in a knowledge base which is called ontology. Search parameters can include keywords or phrases. Services provided in this system is a search service with sentences in Indonesian language. While the rules are the rules of language processing built with Natural Language Processing with reference to the Tala algorithm, so the system is able to understand the meaning of a keyword or phrase and SWRL rules for the process of finding information stored in the knowledge base. Semantic search that had been built can process keyword or sentences. Sentences can be simple sentence, sentence with question word and also imperative sentence. The results of testing on a number of searching phrase, show providing both the precision ratio 99,55 % and recall ratio of 93,67 %
On the use of neural networks for speaker independent isolated word recognition

The authors present results obtained by applying the connectionist approach of multilayer perceptrons (MLPs) to three tasks of practical interest: classification of speech in terms of broad phonetic classes, speaker-independent recognition of yes/no answers through the dialed-up telephone line, and speaker-independent recognition of isolated digits through the telephone line. The first task assesses the capability of a simple MLP to generate nonlinear decision surfaces that discriminate among six broad phonetic classes. The MLP performance is actually comparable to that obtained by a hierarchical polynomial classifier. The second task deals with the sequential nature of speech. As short words like SI/NO do not give relevant problems of time alignment, the effects of different parts of the signal are taken into account by means of hidden units. A 98% recognition rate is achieved. For the third task, digital recognition, where the length of the words has a large range variation, a nonlinear time alignment is used that is performed through trace segmentation. <<ETX>>
Adaptive Multi-Sensor Perception for Driving Automation in Outdoor Contexts

In this research, adaptive perception for driving automation is discussed so as to enable a vehicle to automatically detect driveable areas and obstacles in the scene. It is especially designed for outdoor contexts where conventional perception systems that rely on a priori knowledge of the terrain's geometric properties, appearance properties, or both, is prone to fail, due to the variability in the terrain properties and environmental conditions. In contrast, the proposed framework uses a self-learning approach to build a model of the ground class that is continuously adjusted online to reflect the latest ground appearance. The system also features high flexibility, as it can work using a single sensor modality or a multi-sensor combination. In the context of this research, different embodiments have been demonstrated using range data coming from either a radar or a stereo camera, and adopting self-supervised strategies where monocular vision is automatically trained by radar or stereo vision. A comprehensive set of experimental results, obtained with different ground vehicles operating in the field, are presented to validate and assess the performance of the system.
A self-controllable voltage level (SVL) circuit and its low-power high-speed CMOS circuit applications

A self-controllable voltage level (SVL) circuit which can supply a maximum dc voltage to an active-load circuit on request or can decrease the dc voltage supplied to a load circuit in standby mode was developed. This SVL circuit can drastically reduce standby leakage power of CMOS logic circuits with minimal overheads in terms of chip area and speed. Furthermore, it can also be applied to memories and registers, because such circuits fitted with SVL circuits can retain data even in the standby mode. The standby power of an 8-bit 0.13-/spl mu/m CMOS ripple carry adder (RCA) with an on-chip SVL circuit is 8.2 nW, namely, 4.0% of that of an equivalent conventional adder, while the output signal delay is 786 ps, namely, only 2.3% longer than that of the equivalent conventional adder. Moreover, the standby power of a 512-bit memory cell array incorporating an SVL circuit for a 0.13-/spl mu/m 512-bit SRAM is 69.1 nW, which is 3.9% of that of an equivalent conventional memory-cell array. The read-access time of this 0.13-/spl mu/m SRAM is 285 ps, that is, only 2 ps slower than that of the equivalent SRAM.
Flight Data Analysis of Pilot-Induced-Oscillations of a Remotely Controlled Aircraft

This paper presents Pilot Induced Oscillations (PIO) studies carried out with a remotely controlled sub-scale aircraft. Various existing PIO analysis criteria such as Bandwidth/Pitch Rate Overshoot, Neal-Smith and Smith-Geddes for Category 1 and Open Loop Onset Point (OLOP) criteria for Category 2 PIOs were applied to the test bed system and the theoretical results were compared with actual flight test results. Category 1 PIO experiments were carried out by injecting a time delay between the pilot command and the actuator response. Category 2 PIO experiments were carried out by rate limiting of the elevator actuators.
A Data Security Framework for Mobile Cloud Computing

When using the secure cloud storage services on resources limited Mobile Devices, the confidentiality of sensitive data must be ensured before uploading the data on cloud storage servers. The complex security operations to ensure security are restricted to execute due to the resource constrained mobile devices. The huge volume of complex security operations are offloaded remotely on cloud storage. By literature review of existing security frameworks focus on reducing the complexity of cryptographic algorithms or methods to offer confidentiality and security. By keep in view the requirements of security and privacy of confidential data of users with resource restricted mobile devices, in this paper, We present a proposed security framework for mobile cloud computing. In this framework the cryptographic methods as well as algorithms are used for encryption and decryption of mobile user data. This Framework ensures the additional security and confidentiality of user"s sensitive or significant data. This paper introduces the scheming flow of proposed security framework. This proposed Security framework is for the purpose to secure and provide privacy and integrity to user"s confidential data in Mobile Cloud Environment.
Case Study on social software in distributed working environments

This document outlines four different case studies on the use of Social Software in distributed working environments. While two case studies focus on the corporate world, two other case studies look at the use of Social Software in academic workplaces. The concluding remarks identify some common benefits as well as issues with the use of Social Software and to derive some further research challenges from the different cases. The findings for future research need to be directed towards strategies for corporate learning and working environments to effectively integrate Social Software solutions for very specific needs in different institutional cultures. Therefore the continuation of social software applications in practice, including some other case studies from non-corporate or non-academic, will be essential for WP 15.
Teleportation of Objects between Virtual Worlds: Use Case: Exer-gaming

The Internet and virtual worlds are increasingly become a part of our daily lives. Currently these two are not capable of exchanging information, largely because of the lack of a global accepted standard for information exchange. Interaction between the real world and virtual worlds is mostly limited to classic mouse and keyboard devices, and exchange of information between different virtual worlds is virtually non-existent. We present a Use Case in the Metaverse1 project to increase motivation for continued physical exercising for the elderly by connecting real-world devices to virtual worlds, and allow information exchange through the teleportation of virtual objects from Second Life to our custom virtual biking world created in the Logos3D engine. We show that the principle of exchanging information between real and virtual worlds is simple, but the solution is non-trivial and requires not only a globally accepted standard to facilitate information exchange. From the results of a focus-group study, we show that a virtual environment does have the capability to increase motivation for exercising and that users do respond to a virtual exercise coach.