Miracle-dz/UniFAR-FTUs huggingface dataset:
Marketing Innovation, Orientation and Business Environment Effects on Newspaper Firms' Performance

A recent study on early stage news media startups by Sommer (2018) took a case study approach comprising of only four cases. [. ]there is an existing research gap vis-a-vis rigorous quantitative statistical analysis of the impact of marketing innovation and orientation techniques on the newspaper firms' market share and financial performance. [. ]this study is an effort to fill the void in published literature, which statistically analyzes the impact of environmental dynamics in concurrence with marketing orientation and innovation strategies on Indian newsprint media firm's market and fiscal performance. 2. [. ]market orientation components used in present study are defined as Interfunctional co-ordination (IC), customer orientation (CuO) and competitor orientation (CoO). [. ]the present study classifies the firm's performances in two categories: * Market performance (MP): It comprises of Market share in advertising, market share of customers, customer preservation, addition of fresh customers, building a positive newspaper image. * Financial performance (FP): Sales augmentation (circulation) and firm's profit. 3.
A SURVEY ON SEQUENTIAL RULE MINING TECHNIQUES

: Data mining is also renowned as knowledge discovery in databases, has been recognized as the process of extracting non-trivial, inherent, previously unknown, and potentially useful information from data in databases. The exposed knowledge can be employed in numerous ways in analogous applications. The most vital tasks in data mining are the procedure of determining association rules and frequent item-sets. There is a very vital role of frequent item-sets mining in association rules mining. In the last few years, a range of approaches for uncovering frequent item-sets in especially huge databases have been emerged. Although there have been a large number of algorithms designed for frequent pattern mining, investigating efficient and scalable algorithms is still very challenging. In this paper, we have provided a survey of various sequential rule mining approaches.
FACE RECOGNITION AND AGE PROGRESSION USING SUPPORT VECTOR MACHINE AND ORL DATA BASE: A REVIEW

: Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance. Computer-based age synthesis and estimation via faces have become particularly prevalent to picsy because of their explosively emerging real - world applications, such as forensic art, electronic customer relationship management, security control and surveillance monitoring, biometrics, entertainment, and cosmetology. Our objective in this thesis is to develop a human face detection and age progression from face images. Given a face image of the person, we label it with an estimated age.
RANKING THE CLOUD SERVICES BASED ON QOS PARAMETERS

: Cloud computing has become an important paradigm for outsourcing various IT needs of organizations, by enabling them to offer access to their infrastructure and application services on a subscription basis, there are many Cloud providers offer different Cloud services with different price and performance attributes. It has also becomes challenging for Cloud customers to find the best Cloud services which can satisfy their QoS requirements in terms of parameters such as performance and security. In this project work, we propose a structural design and a mechanism for measure the quality and prioritize Cloud services. The aim of this framework is to define each of the QoS attributes given in the framework and provide a methodology for computing a relative index for comparing different Cloud services and will create healthy competition among Cloud providers to satisfy their Service Level Agreement (SLA) and improve their QoS. Analytical Hierarchical Process (AHP) based Prioritize mechanism to solve the problem of assigning weights to features considering the interdependence among them, thus providing a much required quantitative basis for the Prioritize of Cloud services.
Correctness in Stream Processing: Challenges and Opportunities

Today’s real-time data analytics applications are built using a range of software platforms for distributed stream processing. Popular stream processing platforms include Apache Storm [1], Spark [2, 3], and Flink [4]; Google Cloud Dataflow [5]; Microsoft Trill [6]; and emerging frameworks such as Timely [7, 8] and Differential Dataflow [9]. However, engineering and performance advances over the last two decades have not been met by adequate attention to software correctness. Correctness is especially important in this context because the amount of data, distributed deployment, and real-time nature of these applications makes them difficult to understand and to debug [10–12]. Moreover, errors are catastrophic: whereas an error in an offline application might go unnoticed if it is diagnosed and fixed in a timely manner, an error in a streaming application immediately results in either wrong results, delays, or service outages for downstream consumers. To ensure the highest level of safety for present and future applications, we advocate for formal methods work in the rigorous formalization and verification of stream processing programs and systems. Challenges. Before we can achieve verified streaming applications, researchers and practitioners must agree on what it means for stream processing
Bayesian inference on isospin splitting of nucleon effective mass from giant resonances in 208Pb

From a Bayesian analysis of the electric dipole polarizability, the constrained energy of isovector giant dipole resonance, the peak energy of isocalar giant quadrupole resonance, and the constrained energy of isocalar giant monopole resonance in 208Pb, we extract the isoscalar and isovector effective masses in nuclear matter at saturation density as and , respectively, at 90% confidence level. The constraints obtained on and lead to a positive isospin splitting of nucleon effective mass in asymmetric nuclear matter of isospin asymmetry at as . In addition, the symmetry energy at the subsaturation density is determined to be MeV at 90% confidence level.
DRUG PROFILE Moxidectin: an oral treatment for human onchocerciasis

Introduction: Moxidectin is a milbemycin endectocide recently approved for the treatment of human onchocerciasis. Onchocerciasis, earmarked for elimination of transmission, is a filarial infection endemic in Africa, Yemen, and the Amazonian focus straddling Venezuela and Brazil. Concerns over whether the predominant treatment strategy (yearly mass drug administration (MDA) of ivermectin) is sufficient to achieve elimination in all endemic foci have refocussed attention upon alternative treatments. Moxidectin’s stronger and longer microfilarial suppression compared to ivermectin in both phase II and III clinical trials indicates its potential as a novel powerful drug for onchocerciasis elimination. Areas covered: This work summarizes the chemistry and pharmacology of moxidectin, reviews the phase II and III clinical trials evidence on tolerability, safety, and efficacy of moxidectin versus ivermectin, and discusses the implications of moxidectin’s current regulatory status. Expert opinion: Moxidectin’s superior clinical performance has the potential to substantially reduce times to elimination compared to ivermectin. If donated, moxidectin could mitigate the additional programmatic costs of biannual ivermectin distribution because, unlike other alternatives, it can use the existing community-directed treatment infrastructure. A pediatric indication (for children <12 years) and determination of its usefulness in onchocerciasis–loiasis co-endemic areas will greatly help fulfill the potential of moxidectin for the treatment and elimination of onchocerciasis. ARTICLE HISTORY Received 16 March 2020 Accepted 3 July 2020
Molecular Characterization of a Novel Glucosyltransferase from Lactobacillus reuteri Strain 121 Synthesizing a Unique, Highly Branched Glucan with -(134) and -(136) Glucosidic Bonds

Citation for published version (APA): Kralj, S. , van Geel-Schutten, GH. , Rahaoui, H. , Leer, RJ. , Faber, EJ. , van der Maarel, MJEC. , & Dijkhuizen, L. (2002). Molecular characterization of a novel glucosyltransferase from Lactobacillus reuteri strain 121 synthesizing a unique, highly branched glucan with alpha-(1 -> 4) and alpha-(1 -> 6) glucosidic bonds. Applied and environmental microbiology, 68(9), 4283-4291. https://doi.org/10.1128/AEM.68. 9.42834291. 2002
OPERATING TORQUE IN BALL VALVES-A REVIEW

: Ball valve is a one way valve with a spherical disc, which controls the flow through it. Torque is the main factor for operating ball valves. Most of the ball valves require high operating torque for its operation, some external devices are required to overcome this torque. Hence more research is necessary to reduce the operating torque; thereby one can reduce manual effort. This paper deals with basics, advantages and disadvantages of ball valve, torque and its importance in ball valves, torque measuring and applying instruments used for ball valves.
Blind to threat: The presence of temporary goals prevents attention to imminent threat already at early stages of attention allocation.

Human attention is biased by several motivational factors. For instance, threat attracts attention. People also preferentially pay attention to goal-relevant stimuli even when they are not emotional. How is attention allocated when individuals encounter multiple stimuli with different motivational salience that compete for limited attentional resources? Recent evidence suggests that neutral but goal-relevant stimuli are prioritized over threat when they are simultaneously presented. However, the role of strategic attentional processes in this bias is unknown. To address this issue, we conducted two studies that presented goal-relevant and fear-conditioned threatening stimuli in a dot probe paradigm at early (30 ms) and later stages (250 ms) of attentional processing. Across both studies, attention was allocated to goal-relevant stimuli over threatening stimuli at both presentation times. However, attentional bias to goal-relevant stimuli was larger at later stages of attentional processing. Further, attention to goals over threat was reduced in people high in trait anxiety in the main study. These findings corroborate the conclusion that temporary goals determine attention allocation in a relatively automatic manner, but the influence of goals is stronger at later stages of attention allocation.
ADVANCEMENT IN BIOSENSOR WITH NANOTECHNOLOGY

Biosensors are devices that combine the selectivity and specificity of biological sensing elements such as an enzyme, nucleic acid or an antibody with a suitable transducer. The development and performance of biosensors depend upon the materials employed for their construction, the physicochemical characteristics of the materials employed for the construction of the transducer, the matrices used for the enzyme immobilization, the stabilizers and the mediators. Based on transduction process biosensors are classified into different categories such as electrochemical, optical, piezoelectric, thermal and colorimetric. The emergence of nanotechnology offers great opportunities to improve the sensitivity, stability and anti-interference ability of the biosensing systems. With the development of nanotechnology, a number of novel nanomaterial have been fabricated and their novel properties are being gradually discovered and their applications have also greatly advanced biosensors performance. Nanobiosenors have generated a great deal of excitement due to their ability to detect a wide range of materials at incredibly small concentrations.
THE ROLE OF LITERATURE IN THE CLASSROOM

This study investigates the use of literary texts in 178 video-recorded LA lessons across 47 lower-secondary Norwegian classrooms. It offers a systematic overview of how literary texts are read, used, and discussed across classrooms and investigates instructional practices related to literary texts and functions of texts in instruction. The results reveal a strong genre discourse across classrooms; reading literary texts is strongly connected to students’ own writing, focusing on generic text features that are relevant for texts across the same genre. With one exception, shared instruction did not include novels except as individual pleasure reading. The findings align with concerns raised by scholars about the role of literature in language arts, revealing a rather reductionist use of literature across classrooms. Despite strong arguments and empirical support for students reading literature in school, such practices are poorly reflected in classrooms in this study. Our main contribution lies in the exploration of the practices by which adolescents are socialized into literary reading. We provide an exhaustive look at the everyday practices related to literary texts in language arts lessons and the ways these texts are framed, read, and discussed in education.
STUDY OF SYNCHRONIZATION TECHNIQUES FOR OFDM

: - FDMA, TDMA and CDMA are the well-known multiplexing techniques used in wireless communication systems. In a typical terrestrial broadcasting, the transmitted signal arrives at the receiver using various paths of different lengths. Since multiple versions of the signal interfere with each other, it becomes difficult to extract the original information. The use of orthogonal frequency division multiplexing (OFDM) technique provides better solution for the above mentioned problems. OFDM technique distributes the data over a large number of carriers that are spaced apart at precise frequencies. This spacing provides the "orthogonally", which prevents the demodulator from seeing frequencies other than their own. The benefits of OFDM are high spectral efficiency, resiliency of RF interference, and lower multi-path distortion. OFDM is a powerful modulation technique that is capable of high data rate and is able to eliminate ISI. The use of FFT technique to implement modulation and demodulation functions makes it computationally more efficient.
OPPORTUNISTIC FORWARDING FOR DUTY-CYCLED WIRELESS SENSOR NETWORKS

: Opportunistic routing, offering relatively efficient and adaptive forwarding in low-duty-cycled sensor networks, generally allows multiple nodes to forward the same packet simultaneously, especially in networks with intensive traffic. Uncoordinated transmissions often incur a number of duplicate packets, which are further forwarded in the network, occupy the limited network resource, and hinder the packet delivery performance. Existing solutions to this issue, e.g., overhearing or coordination based approaches, either cannot scale up with the system size, or suffer high control overhead. We introduce Duplicate-Detectable Opportunistic Forwarding (DOF), with duplicate free in low-duty cycled sensor networks. It enables senders to get the information of all essential forwarders through a slot acknowledgment scheme, so the data packets can be sent to deterministic next-hop forwarder. With light-weight mechanism, DOF explores the opportunities and removes duplicate packets from forwarding process. This paper overcomes the pitfalls in transmission loss. The simulation study is done in ns2 and the results prove that the proposed DOF is improved and efficient compared to existing protocol.
Effect of Education Program on Mothers' Perception and Knowledge about Cystic Fibrosis

Background: Cystic fibrosis (CF) is a life-shortening, burdensome disease requiring complex knowledge to manage the disease. The management of chronic diseases, particularly in children, requires an integrated physical and psychological approach to both sick children and their family. Hence, this study aimed to assess the effect of education program on mothers' perception and knowledge about cystic fibrosis. Research design: a quasi-experimental (one-group pretest/posttest) research design was utilized to accomplish the study. The study was carried out in outpatient clinic at pediatric hospital affiliated with Ain Shams university. The study included a convenience sample of 60 mothers. Tools: Tools of data collection involved an Arabic-language self-administered questionnaire include; socio demographic characteristics, mothers’ knowledge and illness perception. Results: only 13.30% of the studied mothers had a high level of knowledge pre-intervention, compared with 85% of them post-intervention with highly statistically significant differences at p <0.01. Moreover, 18.3% of them had a positive perception pre-intervention, compared with 92% of them post-intervention with highly statistically significant differences at p <0.01. A highly statistically significant positive linear correlation between mothers’ knowledge and their perception at p. value <0.01 was reported. Conclusion: concluded that the educational program effectively improves mothers’ knowledge and perception regarding to cystic fibrosis. The total mothers’ knowledge and perception were significantly increased after the implementation of the educational program. Recommendation: Regular health education programs, particularly Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 35860 targeting caregivers regarding cystic fibrosis, are essential for enhancing knowledge and maintaining safe practices. Conduct new research on effect of improving mothers’ knowledge on quality life of their children with cystic fibrosis.
SIMILARITY BASED RECIPE RECOMMENDER

: Recommender systems are becoming an important part of any internet user. It is actively involved in finding relevant information. The users become an important part of the recommender system. In this paper, we present two of the approaches to recommend recipes based on user preferences for the application dataset. The two approaches used are the item based collaborative filtering approach and user based collaborative filtering approach. The similarity techniques used are the Log Likelihood and Tanimoto for item based and Pearson Correlation and Euclidean Distance for the user based approach respectively. Good recommendations are observed in case of the user based collaborative filtering approach than the item based collaborative filtering approach
Survivability Evaluation of Backbone Network Based on Linear Discriminant Analysis and Principal Component Analysis

From the perspective of resistibility,recoverability,security and connectivity of backbone network an indicator system for survivability evaluation of differentiated planning is established,and the analysis on benefit and cost attributes of survivability indicators and the standardization of them are performed.On this basis,a linear discriminant analysis(LDA) model for the second-class indicators and a principal component analysis(PCA) model for the first-class indicator are built.Firstly,the maximum value of LDA judgment criterion function for the second-class decision matrix is solved,and according to the largest projection direction corresponding to this maximum value the weights of the third-class indicators are determined,then the PCA of the second-class indicator matrix is performed,and then according to the contribution rates of cumulative variances the weights of the second-class indicators are determined,and finally the synthetic survivability evaluation of backbone network is implemented.The validity and creditability of the proposed evaluation method are verified by simulation results of IEEE 118-bus system.
IAA-AAS-CU-20 -05-04 A TRAJECTORY DESIGN FRAMEWORK LEVERAGING LOW-THRUST FOR THE LUNAR ICECUBE MISSION

The 6U Cubesat, Lunar IceCube (LIC), is a secondary payload of the Artemis-1 mission. Following deployment near Earth, LIC will employ its low-thrust engine to transfer to a highly inclined 100-km by 5000-km lunar orbit. Designing a trajectory from deployment to the science orbit is made challenging by the large change in energy required and the limited control authority of LIC. To address these challenges, a framework is proposed that leverages dynamical structures available in the bicircular restricted four-body problem (BCR4BP) and direct collocation to design the LIC transfer trajectory. Utilizing the BCR4BP enables the perturbing acceleration of the Sun to assist in the required energy change and avoids the additional complexities of an ephemeris model. Furthermore, direct collocation is a robust technique that permits a greater number of initial guesses to be converged to continuous low-thrust transfers. This framework is demonstrated for multiple launch dates and a subset of results are transitioned to a full ephemeris model for validation. The flexibility and robustness of this framework make it well suited for LIC and other small satellites destined for the Moon that must adapt their trajectory to the needs of a primary payload.
MTT CELL PROLIFERATION ASSAY OF BOUCEROSIA PAUCIFLORA AGAINST SK MEL-28 AND MCF-7 CELL LINES

SK MEL – 28 is one of the most dangerous forms of cutaneous melanoma. MCF-7 is the acronym of Michigan Cancer Foundation7 and is invasive breast ductal carcinoma. MTT proliferation assay is widely accepted and reliable method to assess cell proliferation or apoptosis. It is a colorimetric assay that measure the reduction of MTT by mitochondrial succinate dehydrogenase. MTT enters the cell and pass into the mitochondria where it is reduced to formazan product. The effect of ethanol extract of Boucerosia pauciflora on the growth of SK-MEL-28 and MCF cells was examined at doses of 100,200,400 μg/ml. the percentage of viability of cells with EECP was estimated at 65.40 +1.50, 54.18+2.65, 45.18+2.70 and 49.75 +1.85, 35.62+1.58, 27.57 +1.82 on SK-MEL-28, MCF-7 cells respectively.
The Effect of Biosynthetic TiO2 Nanoparticles and Short Chain Organic Acids on some Biochemical Parameters of Laboratory Rats

The study was conducted in the laboratories of Department of Food Science in the College of Agriculture and Animal Home of the College of Veterinary Medicine at Tikrit University for the period from October2020 to April2021, with the aim of TiO2 Nanoparticles (TiO2NPs) synthesis using the Fusarium oxysporum that isolated and identified from soil samples, and the characteristics of its TiO2NPs was determined by UV, SEM, XRD techniques. The orally dosage from the TiO2NPs and short chain organic acids (SCFA) of acetic acid (C2), propionic (C3) and butyric (C4) after induce the immunity reduced by orally dosage of the Sandimmune (Cyclosporine-A) to evaluated the effect on the lipid profile, as well as the level of liver enzymes concentration in laboratory rats. The results showed the biosynthesis of TiO2NPs used the Fusarium oxysporum to convert the raw compounds of Ti (NO3)4 into their TiO2NPs with a size particle at 54.70 nm. The results showed that the concentration of cholesterol, triglycerides, low-density lipoproteins LDL, and vLDL were increased while the High density lipoproteins HDL was decreased significantly (p<0.05) in the experimentally immunosuppressed group (G2) and appeared at 105, 94, 29, 24 and 32 mg/dl respectively compared to the healthy control group (G1), which was at 85, 78, 19, 16 and 48 mg/dl respectively, The concentrations of above lipid profiles were significantly decreased when treatment with TiO2NPs and SCFA and became similarly to the values of its parameters in control group G1. The results investigated that the concentration of AST and ALT enzymes was significantly increased in the animal immunosuppression group (G2), and it’s appeared at 58 and 57 (mg/L) respectively, while the enzyme values were significantly decreased in the animals’ groups that treatment with TiO2NPs and SCFA as G3, G4, G5, G6, G7, G8 and G9 and became similar to the values compared to the healthy control group (G1), which was at 44 and 43 (mg/L) respectively.