Miracle-dz/UniFAR-FTUs huggingface dataset:
Articulation of Quality By Design Elements for Product Development and its Unique Applications

Quality by Design (QbD) is a methodical approach to pharmaceutical product development that begins with predefined objectives and emphasizes product and process comprehension and process control based on sound science and quality risk management. Pharmaceutical development should lead to the design a quality product and its manufacturing process to meet the QTPP and CQA parameters. To arrive at the robust product development QbD articulation is important which is missing in most of the reviews. This review articulates the QbD elements in the product development. QbD process stars with identification of QTPP and source CQA from QTPP. CMAs and CPPs are derived wi th risk assessment from the product ingredients and process. Their impact on the CQAs can be studies with DoE tools. The information and knowledge gained from pharmaceutical development studies and manufacturing experience provide scientific understanding to support the design space and control strategy. Product process follows life cycle management approach with continuous improvement. PAT tools are utilized for the online monitoring of the processes. This review paper is dedicated to provide QbD element articulation in product development and its unique applications in the various areas of the product development such as Biotechnology, Nanotechnology products, Nasal products, Inhalation, Injectable products, Targeted drug delivery, complex Solid oral, Transdermal and topical products, Bioavailability and dissolution enhancement, Analytical processes and API manufacturing etc. Current trends in the technical application of the PAT tools are discussed.
IMPROVING THE FUEL ECONOMY BY USING HYDRAULIC HYBRID POWERTRAIN IN PASSENGER CARS

The hydraulic hybrid is alternative powertrain that offers an efficient way to recover braking energy and designed to enable a boost effect that would normally be offered only by complex electric drives. All vehicle manufacturers, in the stages of vehicle development, apply Vehicle simulation software for calculation of driving performance, fuel consumption and emissions of toxic gases. In order to investigate the potential possibilities of application of hydraulic hybrid drive in passenger cars in the urban environment during standard cycle UDC, NEDC, a modeling of the potential hybrid vehicle based on the platform of Yugo Florida is performed. Results show that it can achieve significant savings in fuel consumption, especially in case of vehicle motion purely based on hydraulic drive.
Fishy Cyber Attack Detection in Industrial Control Systems

Cyber attacks have become serious threats to Industrial Control systems as well. It becomes important to develop a serious threat defense system against such vulnerabilities. For such process control systems, safety should also be assured apart from security. As unearthing vulnerabilities and patching them is not a feasible solution, these critical infrastructures need safeguards to prevent accidents, both natural and artificial, that could potentially be hazardous. Morita proposed an effective Zone division, capable of evaluating remote and concealed attacks on the system, coupled with Principal Component Analysis. But the need to analyze the node that has been compromised and stopping any further damages, requires an automated technique. Illustrating the basic ideas we'll simulate a simple Water plant. We propose a new automated approach based on Long Short Term Memory networks capable of detecting attacks and pin point the location of the breach.
Hardware Design of Efficient Montgomery Multiplier for Low Area RSA

In public key cryptography such as RSA, modular exponentiation is the most time-consuming operation. RSA’s modular exponentiation can be computed by repeated modular multiplication. To attain high efficiency for RSA, fast modular multiplication algorithms have been proposed to speed up decryption/encryption. Montgomery multiplication is limited by the carry propagation delay from the addition of long operands. In this paper, we propose a hardware structure that reduces the area of the Montgomery multiplication implementation for lightweight applications of RSA. Experimental results showed that the new design can achieve higher performance and reduce hardware area. A frequency of 884.9MHz and 250MHz were achieved with 84K and 56K gates respectively using the 90nm technology
Dielectric spectroscopy of glucose turnover in cancerous tissue model

The article focuses on dielectric spectroscopy, measurement and calculation of dielectric properties of normal and carcinoma tissue phantoms. Special attention is paid to the investigation of dielectric properties of carcinoma tissue model with different water and glucose content. The paper devotes itself to investigation of dielectric qualities of pure glucose, glucose in solutions as well as in phantoms of biological tissues directing the attention at its manifestation at tumours cells investigation by means of microwaves. Experimental results from these areas are given and their evaluation is presented.
Social Factors of Willingness to Share Knowledge: In Relational Model Theory (RMT)

A willingness to share knowledge is an individual intention to share or not knowing. It is unenforceable but depends on individual’s itself. Recently, studies highlighted a social psychological context might be major factor that influences willingness to share knowledge. In sharing knowledge process, there is a need to have at least two actors as sender and recipient so that the sharing process will be effective. However, if the relationship between the two parties is harmful, the sharing process is not well implemented. Apart from this process, a social psychological vital stimulates individual’s intention and willingness to share knowledge. This study aimed to explore the fundamental of relational model theory, social factors and willingness to share knowledge. The finding will be discussed further the framework of relational model theory and willingness to share knowledge.
Odejimi, Opeyemi and Ekpenyong, Mandu Stephen (2019)Further Education lecturers: A glimpse into factors influencing their career satisfaction, aspira-

There is no doubt that Further Education (FE) lecturers are one of the most influential individuals in the life of a young adult. Nevertheless, it is usually reported that they find their jobs stressful and irritating. Furthermore, reports have indicated most graduates do not find teaching in FE sectors as an exciting and interesting environment to begin their career. Thus, this sector is not viewed as one where job satisfaction and opportunities for career developments is derived. This paper provides a glimpse into some reported factors that influences FE lecturers’ career satisfaction, aspirations and development. In particular, personal, organisational, external and political influences that impacts on FE lecturers are examined and a call for further research within this sector is strongly recommended.
Computing L -invariants via the Greenberg–Stevens formula

Résumé. Dans cet article, nous montrons comment calculer les pentes des invariants-L p -adiques de formes modulaires de niveaux et de poids arbi-traires en appliquant la formule de Greenberg–Stevens. Notre méthode re-pose sur les travaux de Lauder et Vonk sur le calcul de la série caractéristique réciproque de l’opérateur U p sur les formes modulaires surconvergentes. En utilisant les dérivées supérieures de cette série, nous construisons un polynôme dont les racines sont exactement les invariants-L apparaissant dans l’espace correspondant des formes modulaires de signe ﬁxé pour l’action de l’involution d’Atkin–Lehner en p . En outre, nous montrons comment calculer ce polynôme eﬃcacement. Dans la dernière section, pour des petits nombres premiers p , nous donnons des évidences numériques en faveur de l’existence des relations entre les pentes des invariants-L de diﬀérents niveaux et poids. Abstract. In this article, we describe how to compute slopes of p -adic L - invariants of Hecke eigenforms of arbitrary weight and level by means of the Greenberg–Stevens formula. Our method is based on the work of Lauder and Vonk on computing the reverse characteristic series of the U p -operator on overconvergent modular forms. Using higher derivatives of this series, we construct a polynomial whose roots are precisely the L -invariants appearing in the corresponding space of modular forms with ﬁxed sign of the Atkin–Lehner involution at p . In addition, we describe how to compute this polynomial eﬃ-ciently. In the ﬁnal section, we give computational evidence for relations be-tween slopes of L -invariants of diﬀerent levels and weights for small primes p .
Explaining the Inverse Association between Altitude and Obesity

Purpose To better understand the inverse association between altitude and adult obesity. Methods An ecological study design was used, involving 3,108 counties in the contiguous United States. Data were from several national sources, and assessment involved various statistical techniques, including multiple regression analysis. Results Living in counties at higher altitude is associated with lower adult obesity. Compared with counties <500 meters, the percent of adult obesity decreases by 5.18% at 500–999 meters, 9.69% at 1,000–1,499 meters, 16.77% at 1,500–1,999 meters, 24.14% at 2,000–2,499 meters, and 35.28% at ≥2,500 meters. After adjusting for physical inactivity, smoking, and other variables, corresponding decreases in adult obesity with higher altitude groupings are 3.87%, 5.64%, 8.03%, 11.41%, and 17.54%, respectively. Various mechanisms are presented as possible explanations for the association between higher altitude and lower obesity. In addition, altitude may indirectly influence adult obesity, primarily through its relationship with physical inactivity and smoking. In an adjusted regression model, adult obesity was most strongly associated with physical inactivity followed by adult smoking and then altitude. Together they explain 39.04% of the variation in adult obesity. After accounting for these variables, sunlight, precipitation, ambient air temperature, education, income, food insecurity, limited access to healthy foods, race, sex, and rural living explain an additional 4.68% of the variation in adult obesity. Conclusions The inverse association between altitude and adult obesity remains significant after adjustment for several variables.
Resource Elasticity for Distributed Data Stream Processing: A Survey and Future Directions

Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructures, and Internet of Things, continuous data streams must be processed under very short delays. Several solutions, including multiple software engines, have been developed for processing unbounded data streams in a scalable and efficient manner. This paper surveys state of the art on stream processing engines and mechanisms for exploiting resource elasticity features of cloud computing in stream processing. Resource elasticity allows for an application or service to scale out/in according to fluctuating demands. Although such features have been extensively investigated for enterprise applications, stream processing poses challenges on achieving elastic systems that can make efficient resource management decisions based on current load. This work examines some of these challenges and discusses solutions proposed in the literature to address them.
UNCERTAIN EFFICIENCY GAINS

The analysis of horizontal mergers hinges on a tradeoff between unilateral effects and efficiency gains. The article examines the role of uncertainty (on the efficiency gains) in this tradeoff. Common wisdom is that the antitrust authorities should be very cautious about random gains. Our results show that dismissing efficiency gains on the sole ground that they are uncertain would not be theoretically founded. Indeed, the attitude towards uncertainty depends on the curvature of the social objective function. We exhibit a number of situations where the objective is convex in the efficiency gains, implying that competition authorities should welcome the risk for a given expectation of efficiency gains. Implications for empirical merger analysis are exposed. JEL Code: K210, L120, L410.
Combining ECN and RTT for Datacenter Transport

Datacenter transports should provide low average and tail flow completion times (FCT) to achieve desired application performance. While most prior datacenter transports take either ECN or RTT as congestion signal, this paper makes a case that both signals are indispensable: ECN, as a per-hop signal, is more effective to prevent packet loss; while RTT, as an end-to-end signal, controls end-to-end queueing delay better. As persistent low flow completion times imply low queueing delay and near zero packet loss, we introduce EAR, a new datacenter transport that hears and reacts to both ECN and RTT. Our preliminary results show that: 1) compared to delay-based DCTCP, EAR achieves up to 91% lower packet losses and 93% fewer timeouts; 2) compared to ECN-based DCTCP, EAR reduces RTT by up to 32% for cross-rack traffic in a 4-level fattree. As a result, EAR delivers persistent low average and tail completion times under various scenarios in large scale simulations.
Detecting seasonal ice dynamics in satellite images

Abstract. Fully understanding how glaciers respond to environmental change will require new methods to help us identify the onset of ice acceleration events and observe how dynamic signals propagate within glaciers. In particular, observations of ice dynamics on seasonal timescales may offer insights into how a glacier interacts with various forcing mechanisms throughout the year. The task of generating continuous ice velocity time series that resolve seasonal variability is made difficult by a spotty satellite record that contains no optical observations during dark, polar winters. Furthermore, velocities obtained by feature tracking are marked by high noise when image pairs are separated by short time intervals and contain no direct insights into variability that occurs between images separated by long time intervals. In this paper, we describe a method of analyzing optical- or radar-derived feature-tracked velocities to characterize the magnitude and timing of seasonal ice dynamic variability. Our method is agnostic to data gaps and is able to recover decadal average winter velocities regardless of the availability of direct observations during winter. Using characteristic image acquisition times and error distributions from Antarctic image pairs in the ITS_LIVE dataset, we generate synthetic ice velocity time series, then apply our method to recover imposed magnitudes of seasonal variability within ±1.4 m yr−1. We then validate the techniques by comparing our results to GPS data collected on Russell Glacier in Greenland. The methods presented here may be applied to better understand how ice dynamic signals propagate on seasonal timescales and what mechanisms control the flow of the world’s ice.
A New Approach of Virtual Machine Allocation In Cloud

— Cloud is a pool of resources from where you can access the resources very easily and efficiently on internet. In cloud computing, as per their changing need of resources various cloud consumers demand variety of services so it’s a big challenge for cloud service provider to allocate the resources to the cloud consumer. As the resources are finite, it is very difficult to fulfill all demanded resources by the cloud consumer and so that it is not possible to meet cloud consumers QoS requirement and satisfaction as per Service Level Agreements (SLA). Virtual machine allocation is defined as an allocation of a set of virtual machines (VMs) to a set of physical machines located on data centers. Here the objective is to increase the revenue by increasing the resource usage by allocating the VM in the efficient manner so that resource utilization will get increase and hence more revenue will be generated. Best-Fit a greedy approach is used here which is combined with the proposed algorithm to allocate the VM more efficiently.
Monitoring the Performance of Green Infrastructure: Pervious Pavement and Bioretention

MONITORING THE PERFORMANCE OF GREEN INFRASTRUCTURE: PERVIOUS PAVEMENT AND BIORETENTION Elizabeth M. Regier, B.S. Marquette University, 2020 Milwaukee, like many other aging cities, struggles with combined sewer overflows, basement backups, and urban stream syndrome. It is increasingly looking to green stormwater infrastructure as a way to alleviate stormwater concerns by treating, retaining, and slowly releasing stormwater near the locations where it falls. However, green stormwater infrastructure varies in its performance, and few studies have been performed in Southeast Wisconsin. Therefore, two bioswales and a pervious pavement installation were monitored for water quantity, total nitrogen, total phosphorus, and total suspended solids. The bioswales were also monitored for dissolved phosphorus. The north bioswale reduced total phosphorus concentrations by a median of 71% and the south bioswale reduced total nitrogen, total phosphorus, and dissolved phosphorus concentrations by a median of 46%, 69%, and 80%, respectively. Significant exfiltration of water in the bioswales resulted in significant load reductions of 99-100% across all pollutants except total suspended solids from the south bioswale. Both bioswales effectively reduced total flow volumes and peakflows. The green alley reduced total suspended solids and total phosphorus concentrations by 97% and 61%, respectively. It is likely that a lack of infiltration in the system produced lower load reductions in total suspended solids and total phosphorus of 54% and 29%, respectively. However, at the green alley there was little change to total nitrogen concentrations or loads. Overall, this study shows that green stormwater infrastructure can effectively manage stormwater and provides additional guidance for the Milwaukee Metropolitan Sewerage District as they continue to expand their green infrastructure practices. Furthermore, this study can help guide state agencies such as the Wisconsin Department of Natural Resources develop more accurate stormwater crediting systems.
세선화 알고리즘의 하드웨어 구현

This paper proposes an effective hardware scheme for thinning stage processing of a fingerprint identification algorithm based on minutiae with 40% cycle occupation of 32-bit RISC microprocessor. The thinning step is needed to be processed by hardware block, because it is performed repeatedly by processing the same operation using an image window masking method. It can reduce the burden of the system and improve speed. The hardware is implemented by HDL and simulated. The result is compared with a conventional one
Malaysian SME's performance and the use of e-commerce: A multi-group analysis of click-and-mortar and pure-play e-retailers

This research focuses on SMEs’ adoption of e-commerce and its impact to their performance in click-and-mortar and pure-play e-retailers in Malaysia. This research framework had been developed based on Resource-Based View (RBV) and Unified Theory of Acceptance & Use of Technology (UTAUT). At the same time, the combined framework contributes the new approach of studying the performance of the post adoption and factors adopting a technology. The quantitative research data were collected from 225 Malaysian SMEs operators who had adopted e-commerce. This research uses census sampling technique to collect the data from the respondents. Then, the data were used to investigate its measurement model and structural model via the analysis from SPSS 20 and SmartPLS 3.0. Both categories of adopters had the different opinion about the effort expectancy in encouraging the use of e-commerce that produces performance. Before conducting the further analysis in the group comparison via multi-group analysis (MGA), a three-step procedure, the measurement invariance of composite models (MICOM) was conducted. The result showed that among these two categories of businesses had a very different view about the effort expectancy in adopting the e-commerce. Thus, the result may provide the insight to previous researchers who had not segregated the adopters into click-and-mortar and pure-play e-commerce adopters. The research is particularly useful for practitioners by segregating the different marketing strategy for the respective groups of the e-commerce adopters
Research on innovative activities in small and medium-sized enterprises in the Czech republic

This paper deals with current status and development of innovative activities of small and medium-sized enterprises in the Czech Republic and compares them with results of large companies. The research was aimed at studying the dependence of innovative activity on size of a company, diversity of innovative activities in small, medium and large enterprises and to identify the reasons for limiting the innovative activity of enterprises. From the research results it can be seen that innovative activity grows with the size of enterprises. Small and medium-sized enterprises focus rather on non-technical innovation with organizational and marketing nature. The main limiting factors of innovation performance are the lack of financial and informational resources and their own approach to the innovation.
Experience matters: Bridging the gap between experience- and functionality-driven design in technology-enhanced learning

With the growing importance of digital technologies in learning and assessment, it is important to consider user experience (UX) to ensure that tools provide useful functionalities for learning without overwhelming users, to motivate users and ensure that they have positive learning experiences, and to allow users to realize their potential with the help of technology. Building on a case study of concept mapping for technology-enhanced learning, we combined experience-driven and functionality-driven approaches in co-design sessions in four school classes (67 students). We investigated the anticipated experiences that students imagined as well as the functionalities and characteristics they expected. We found that combining experience-driven and functionality-driven approaches is a valuable method for improving technology-enhanced learning.
Making an Appraiser Work for You

In many situations, an uninformed agent (UA) needs to elicit information from an informed agent (IA) who has unique expertise or knowledge related to some opportunity available to the UA. In many of those situations, the correctness of the information cannot be verified by the UA, and therefore it is important to guarantee that the information-elicitation mechanism incentivizes the IA to report truthfully. This paper presents and studies several information-elicitation mechanisms that guarantee truthful reporting, differing in the type of costs the IA incurs in producing and delivering the information. With no such costs, the expense for the UA in eliciting truthful information is positive but arbitrarily small. When information-delivery is costly, the extra expense for the UA (above the unavoidable cost of delivery) is arbitrarily small. Finally, when the information-production is costly, as long as the cost is sufficiently small, truthful information elicitation is possible and the extra expense for the UA (above the unavoidable cost of production) is arbitrarily small.