Miracle-dz/UniFAR-FTUs huggingface dataset:
VITAMIN D DEFICIENCY: AN ICEBERG DISEASE

Vitamin D is thought to be important for maintaining normal function of many non skeletal tissues such as muscle proliferation and differentiation. Studies have shown that it may be useful as adjunctive treatment for tuberculosis, psoriasis, and multiple sclerosis or for the prevention of cer consumption of fortified or enriched foods as well as suberythemal sun exposure should be encouraged for people at risk for vitamin D deficiency. The current review focuses on the evidence demonstrating vitamin D deficiency in all age gro
The peptide PROTAC modality: a novel strategy for targeted protein ubiquitination

Despite dramatic advances in drug discovery over the decades, effective therapeutic strategies for cancers treatment are still in urgent demands. PROteolysis TArgeting Chimera (PROTAC), a novel therapeutic modality, has been vigorously promoted in preclinical and clinical applications. Unlike small molecule PROTAC, peptide PROTAC (p-PROTAC) with advantages of high specificity and low toxicity, while avoiding the limitations of shallow binding pockets through large interacting surfaces, provides promising substitutions for E3 ubiquitin ligase complex-mediated ubiquitination of “undruggable proteins”. It is worth noting that successful applications of p-PROTAC still have some obstacles, including low stability and poor membrane permeability. Hence, we highlight that p-PROTAC combined with cell-penetrating peptides, constrained conformation technique, and targeted delivery systems could be the future efforts for potential translational research.
Correlation between Handgrip Strength and Selected Anthropometric Parameters in Athletes and Nonathletes

Handgrip strength is a reliable predictor of muscular strength and proper hand functioning. The aim of this study was to compare and correlate between handgrip strength and selected anthropometric variables in Nigerian athletes and nonathletes of both sexes. A cross-sectional, descriptive study was carried out on 62 athletes and 80 non-athletes in the age range of 18-30 years among the students of the University of Port Harcourt. Handgrip strength was measured using an electronic hand dynamometer. Anthropometric variables used were mid-arm circumference, arm length, forearm length, hand length and hand width. An independent samples t-test was used to compare between both sexes in each subject category in both dominant and non-dominant handgrip strength. Also, an independent samples t-test was used to compare differences in anthropometric variables between both sexes in each subject category. A Pearson’s correlation was used to determine the relationship between handgrip strength and anthropometric variables in both athletes and non-athletes. The findings from this study showed that athletes had a significantly higher handgrip strength mean values compared to nonathletes. Strong positive correlations were shown handgrip strength and most anthropometric variables used in the study. It was concluded that handgrip strength was higher in people engaged in sports and it showed significant relationship with anthropometric variables.
in Computer

— O rthogonal space-time block code (OSTBC) designs for four-user MIMO X channels are used to finalize full diversity while the inter-user interference is eliminated by the group of zero-forcing receivers of channel codes for better data speed and stability for wireless environment. The use of multiple transmitters and receivers as an alternative to single one can help out to recover consistency without any concatenation in the bandwidth expenditure. This paper expedites the reduction in encoding and decoding complexity by partitioning antennas at the transmitter into small groups that is single space–time codes, to transmit source information from every cluster of antennas. At the receiver structure is derived to provide full diversity and coding gain above encoded systems. This mixture of array processing at the receiver and coding techniques for multiple transmit antennas can provide truthfully and extremely raised data rate communication over narrowband wireless channels. A improvement of this fundamental structure begin to a multilayered space–time architecture which summarizes and enhances upon the layered space–time architecture.
Data classification prediction algorithm based on support vector machine and its application in oil and gas reservoir classification

For the parameter selection problem of support vector algorithm (SVM) in process of data classification prediction, we put forward the idea of using heuristic algorithms (include genetic algorithm and particle swarm optimization) to optimize the SVM parameters. The principle of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm were analyzed firstly. Secondly, the parameters optimization problem of SVM algorithm with GA and PSO were realized by MATLAB toolbox LIBSVM. Finally, the simulation and experiment based on the data of logging and testing data in an area of Changqing oilfield were discussed on different data normalization ways, different SVM kernel functions and different SVM parameters optimization methods, the results show that the SVM parameters optimization based on the genetic algorithm can significantly improve the accuracy of the algorithm.
From “Rules to Interpret” to “Rules to Follow”: ePrescription in Greece

This paper aims to contribute to the on-going discourse on how to design and introduce governance technology for highly reliable professional work within healthcare. With this aim, we study the Greek ePrescription initiative. The empirical data used in this paper were collected over a nine month period from three different pharmacies implementing the new ePrescription platform. The analysis of data led to the identification of tensions between the established way of performing work (which was based on professionalism and discretion) and the new way imposed by ePrescribing (which is based on activity control and monitoring). Pharmacists traditionally interpreted rules in the light of knowledge, practice/habitude and contextual specificities but with ePrescribing the rules are solidified. From “rules to interpret” they turned to “rules to follow”. The tensions are currently resolved by pharmacists with the employment of workarounds. We view workarounds as indications of incongruence between technology and task that can be productively used for design improvement. Furthermore, we attempt to generalise the case-specific insights by linking redesign recommendations to the concepts of usability, tailorability, and generativity of information systems.
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning

Many edge computing and IoT applications require adaptive and on-line learning architectures for fast and low-power processing of locally sensed signals. A promising class of architectures to solve this problem is that of in-memory computing ones, based on event-based hybrid memristive-CMOS devices. In this work, we present an example of such systems that supports always-on on-line learning. To overcome the problems of variability and limited resolution of ReRAM memristive devices used to store synaptic weights, we propose to use only their High Conductive State (HCS) and control their desired conductance by modulating their programming Compliance Current (ICC). We describe the spike-based learning CMOS circuits that are used to modulate the synaptic weights and demonstrate the relationship between the synaptic weight, the device conductance, and the ICC used to set its weight, with experimental measurements from a 4kb array of HfO2-based devices. To validate the approach and the circuits presented, we present circuit simulation results for a standard CMOS 180nm process and system-level behavioral simulations for classifying hand-written digits from the MNIST data-set with classification accuracy of 92.68% on the test set.
User needs and legally ruled collaboration in the VirtualLife virtual world platform 1

The paper addresses the purposes and design decisions produced while developing a peer-topeer virtual world platform. The work is being done within the FP7 VirtualLife project. The purpose of the project is to create a safe, democratic and legally ruled collaboration environment. The novelty of the platform is mainly in the issues of security and trust and in the implementation of an in-world legal framework, which is real world compliant. The rule of law principle is extended to a virtual world. Such an extension advances the level of intelligence of an artifact. The approach accords with a trend in legal informatics “From norms in law to rules in artifact”. In the paper the authors reflect on user needs and learning support in a university virtual campus, a potential scenario. Virtual worlds’ opportunities in enhancing learning are discussed. A new paradigm of the content is characterized as interaction versus information.
Energy Efficient Cluster Head Selection In Adhoc On Demand Multipath Distance Vector Routing Protocol

: Wireless Sensor Networks (WSNs) bringing in new applications and needs non - conventional standard for protocol design due to various challenges. While selecting a protocol for WSN formulating an energy efficient protocol is the biggest challenge. On - Demand routing protocols operates on the idea of generating routes as and when needed between a source and destination node pair in a network topology. Traditional AOMDV Protocol provides multiple routes but did not consider energy constraint. To overcome this challenge clustering based AOMDV protocol is proposed. Energy based multipath routing LEACH by introducing the clustering mechanism is tried. But in LEACH Protocol cluster head selection mechanism is random and not dependent on the size of the cluster. A new strategy is proposed which selects the cluster head based on residual energy. It selects the cluster head for Clustering induced AOMDV based on Midpoint K Means Algorithm by identifying the centroids of the cluster. The proposed methodology outperforms other traditional protocol algorithms such as LEACH and Energy Efficient Clustering Formation in terms of various parameters such as Energy Consumption distribution of cluster head in addition to providing multipath.
Regulatory Effect of Scutellariae Radix on the Proinflammatory Cytokine Production and Abnormal T-Cell Activation in Vitro in Pristane-Induced Lupus Mice

【Scutellaria baicalensis is known as a herbal medicine with anti-inflammatory and anti-oxidative activities. However, effect of Scutellaria baicalensis on lupus pathogenesis that is characterized by overproduction of proinflammatory cytokines and abnormalities in regulation, function, and interaction of immune cells remains unclear. We investigated effects of Scutellariae radix methanol extract (SBMeOH) on the production of proinflammatory cytokines and abnormal activation of T cells in vitro in pristane-induced lupus BALB/c mice. These results demonstrated that SBMeOH significantly decreased the LPS-stimulated production of $TNF-{\alpha}$ , IL-6, and IL-10 by splenic and peritoneal macrophages and IL-6 and IL-10 by splenocytes from pristane-induced lupus mice. SBMeOH significantly downregulated the Con A-stimulated overproduction of IL-6, IL-10, and $IFN-{\gamma}$ by splenocytes from pristane-induced lupus mice. Also, SBMeOH significantly attenuated the Con A-induced expression of CD4+ T cells and CD69+CD4+ T cells but not CD8+ T cells in pristane-induced lupus mice. Our findings indicate that SBMeOH may ameliorate lupus pathogenic inflammation and autoimmunity via downregulation of proinflammatory cytokine production and abnormal activation of T cells. 】
Contribution to the volume on “ The Capability Approach : From Theory to Practice ”

HCT, pioneered by Schultz and Becker in the early 1970s, has since become an important part of the debate on economic growth and development. It became an important tool in micro-analysis and has been used to study the patterns of economic well-being and the forces underlying educational choices as investment decisions. Recently HCT has been criticized for the narrow instrumental role that it assigns to education, which disregards other important non-material aspects related to it, as well as for its inability to satisfactorily reflect the cultural, gender, emotional and historical differences that can influence educational choices and individual well-being. While the “economistic” component of educational investment certainly constitutes an important part of individual well-being, we should not disregard its other dimensions or the impact that education can have on different domains of human life. Regarding the latter point, the CA seems to offer a broader perspective that goes beyond the narrow notion of human capital (HC). It does so by acknowledging not only the instrumental value of education in promoting productivity, economic growth and individual incomes, but also through the direct relevance that it can have in terms of individual wellbeing and freedom as well as for social development.
Driving Simulator Validity of Driving Behavior in Work Zones

Driving simulation is an efficient, safe, and data-collection-friendly method to examine driving behavior in a controlled environment. However, the validity of a driving simulator is inconsistent when the type of the driving simulator or the driving scenario is different. The purpose of this research is to verify driving simulator validity in driving behavior research in work zones. A field experiment and a corresponding simulation experiment were conducted to collect behavioral data. Indicators such as speed, car-following distance, and reaction delay time were chosen to examine the absolute and relative validity of the driving simulator. In particular, a survival analysis method was proposed in this research to examine the validity of reaction delay time. The result indicates the following: (1) most indicators are valid in driving behavior research in the work zone. For example, spot speed, car-following distance, headway, and reaction delay time show absolute validity. (2) Standard deviation of the car-following distance shows relative validity. Consistent with previous researches, some driving behaviors appear to be more aggressive in the simulation environment.
The Impact of the Conceptual Development of Intellectual Capital on Enhancing the Efficiency of the Pioneering Application of the Competitive Advantage Dimensions in the Jordanian Public Shareholding Industrial Companies from the Point of View of Corporate Managers

This study aimed to identify the impact of the conceptual development of intellectual capital on enhancing the efficiency of the pioneering application of the competitive advantage dimensions in the Jordanian public shareholding industrial companies , To achieve the goals of the study, the researcher used the descriptive and analytical method, where a special tool was developed to measure the impact of the aim of the study ,the study tool has been verified as correct and stable, and then distributed to the study sample which is (100) in response to the managers of Jordanian industrial companies. The results of the study showed that there is an the impact of the conceptual development of intellectual capital on enhancing the efficiency of the pioneering application of the competitive advantage dimensions in the Jordanian public shareholding industrial companies , The results also showed the effect of innovation capital, relational capital, structural capital, and human capital in enhancing the efficiency of the pioneering application of the competitive advantage dimensions in the Jordanian public shareholding industrial companies . In the light of the results of the study, the study recommended a set of recommendations, including: the necessity of the management of the researched companies in seeking to take advantage of its intellectual capital, which represents the non-material assets and providing support to them as well as providing all the requirements and physical facilities from devices and equipment and creating the appropriate climate beside material and moral incentives to urge individuals to creativity by Presenting ideas and innovations that have positive effects in improving the quality of the service provided to reach global competitiveness.
Uzaktan Kontrollü Prototip Mobil Bomba İmha Robotu Tasarımı ve

In this study, the design of a mobile robot and ignition system with remote control which enables security units to intervening in suspicious packages containing explosive material has been realized. The image transfer to the operator panel can be realised with monitor system installed on the mobile robot and the robot and ignition control can be performed via operator panel. In the system, firstly, a mobile robot which carries ignition lever, monitor system and ARM (Acorn RISC Machine) control boards have been designed. Than the installation of ignition lever control and monitoring systems have been made on mobile robot. AK-ER (Bomb Disposal Weapon) frequently used by bomb disposal experts in order to handle suspicious packages has been installation mobile robot and it has been aimed to minimize the hazard to humans by providing remote control of this weapon. The remote control of the mobile robot has been successfully realized and mobile robot, then the physical modification, can serve as a real bomb disposal robot is shown
Effectiveness of an Education Program with a Technological Pedagogical and Science Knowledge- Contextual Approach to Pre-Service Teachers’ Understanding of the Nature of Science

It is important to provide pre-service teachers and science teachers with an understanding of the Nature of Science (NoS) subject. The innovation of teacher education programs is important to produce natural science teachers, as demanded by the twenty-first century, and at the same time, to provide an adequate understanding of the NoS, namely with lecture programs of a Technological Pedagogical and Science Knowledge-Contextual (TPASK-C) based-approach. This study aimed to test the effectiveness of a lecture program with a TPASK-C based-approach in improving the understanding of the NoS in students. The research design followed a one-group pretest-posttest format. The subjects of this study were undergraduate students of Natural Sciences Education, using a purposive sampling technique. The instrument used was a NoS C+ comprehension questionnaire. The data was analysed descriptively with both effect size and inferential by using a paired t-test. The results showed that the lecture program with a TPASK-C based-approach had a strong effect on the NoS understanding, and there was a significant difference in students’ NoS understanding before and after the implementation of the TPASK-C lecture program. This was indicated by the effect size value of greater than one, and the results of the paired t-test, with a significance value of less than 0.05. These results indicate that the TPASK-C approach program is effective in developing a NoS understanding.
Identifying Patterns of Conformity on a Social Network for Children

Over the last decade, cyberbullying (bullying that takes place through electronic devices) has become a concern among young citizens of the ”virtual world”. Usually, the bully is not the only participant; more likely than not, there will be a group of people that will also take part in the bullying. Prior research has shown that an individual’s ideas are likely to be inﬂuenced by previous examples. To explore the conformity eﬀects that these examples can have over children in an online setting, we conducted an experiment with participants between the ages 7 through 12. We asked the participants to go on a digital adventure — a ”quest” — in which they ﬁlled in details of the story (via sketching) to help the characters succeed in their goals. We presented three activities: one with no examples; one with examples, but no identity markers; and one with examples and identity markers. Our goal was to identify whether participants would be more subject to similar ideas when shown examples versus not being shown examples. Our research team agreed on attributes and themes to include in the ﬁrst three priming images for each activity within the quest. As expected, activities in which the participants were primed resulted in sketches with attributes and themes similar to those in the priming images. Interestingly, the conformity eﬀect increased when identity markers were provided, indicating that conformity factors may be inﬂuenced by social relationships. Meanwhile, activities that were not primed at all resulted in images that were very diﬀerent in terms of style. This work’s analysis of children’s patterns of online conformity will inform and inspire the development of algorithms to identify cyberbullying activity and potentially make the Internet a safer place for children.
SECURE ACCESS CONTROL BY STRONG KEY GENERATION USING MULTI LEVEL IMAGE FUSION TECHNIQUE FOR PRIVACY OF DATA IN CLOUD

Cloud computing is modifying the way many organizations are managing their data, because of its robustness. Privacy concerns come up whenever sensitive data is transferred on to the cloud. A simple method for protecting data privacy of da uploading the modified data on cloud. The privacy methods used in existing research shows that privacy violation of data for cloud computing happens by external or internal attackers. In proposed system models, which initially have zero trust among them. Multi generating a strong required. In this way proposed system will provide much better privacy cloud and provide a better secure access of
“Even in a group I’ll not tell them all”: Understanding privacy concerns of older adults for designing online social networks.

In this paper we explore the challenge of obtaining privacy requirements for online social network systems (SNSs) designed for older adults. Since privacy concerns are purported to be a barrier to SNS uptake among older adults, it is important to design to address these. Unique challenges include the fact that older adults may not be familiar with online SNSs and may not understand existing options to optimise privacy on SNSs. Previously, disclosure grids have been used to understand information disclosure but a more appropriate way to identify privacy requirements may be through participant designed sociograms. Nevertheless, even this approach comes with challenges since privacy is an internal issue regardless of their connection to specific groups of friends. We suggest the possibility of trust-based network arrangements and discuss how these might adapt to information-types and how they might present feedback to older adult users to make privacy settings transparent.