Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods

Identifying biomarkers of Multiple Sclerosis is important for the diagnosis and treatment of Multiple Sclerosis. The existing study has shown that miRNA is one of the most important biomarkers for diseases. However, few existing methods are designed for predicting Multiple Sclerosis-related miRNAs. To fill this gap, we proposed a novel computation framework for predicting Multiple Sclerosis-associated miRNAs. The proposed framework uses a network representation model to learn the feature representation of miRNA and uses a deep learning-based model to predict the miRNAs associated with Multiple Sclerosis. The evaluation result shows that the proposed model can predict the miRNAs associated with Multiple Sclerosis precisely. In addition, the proposed model can outperform several existing methods in a large margin.
Assessment of Adverse Drug Events, Their Risk Factors, and Management Among Patients Treated for Multidrug-Resistant TB: A Prospective Cohort Study From Pakistan

Background: Multidrug-resistant tuberculosis (MDR-TB) is a growing public health problem. Treatment regimens used against MDR-TB are costly, prolonged, and associated with more side effects as compared with the drug-susceptible tuberculosis. This study was framed to determine the incidence of adverse drug events, risk factors, and their management in MDR-TB patients. Methods: This prospective follow-up cohort study was conducted at the site of programmatic management of drug-resistant TB located at the Pakistan Institute of Medical Sciences, Islamabad. All patients, irrespective of their age, gender, and ethnicity, were included in the study. Adverse drug events were observed in patients at different time points during the study. Patients enrolled for the treatment from January 2018 were prospectively followed till December 2020 up to their end treatment outcomes. Results: Out of 126 MDR-TB patients enrolled for treatment, 116 met the inclusion criteria and were included in the final analysis. Most patients (50.9%) were between 18 and 45 years of age. A minimum of one adverse event was experienced by (50.9%) patients. Of all the adverse events, gastrointestinal disorders were more frequent (47.4%), followed by arthralgia (28.4%) and psychiatric disturbance (20.6%). Furthermore, multivariate analysis showed a significant association with the incidence of adverse events in patients with age group above 60 years (odds ratio (OR) 4.50; 95% CI 1.05-19.2), active smokers (OR 4.20; 95% CI 1.31-13.4), delayed reporting to the TB center (OR 4.03; 95% CI 1.34-12.1), and treatment without bedaquiline regime (OR 3.54; 95% CI 1.23-10.1). Most of the patients (94.6%), counseled by the pharmacist, were found to be satisfied with the information provided and looked for more pharmacist counseling opportunities in the management of MDR-TB. Conclusion: Current findings recommend that ADEs might be well managed by timely identification and reporting. Bedaquiline coupled with other active medications lowered the chance of ADEs in MDR-TB patients. Elderly patients, active smoking behavior, and those who have a delay in the treatment initiation are more prone to ADEs. Clinical pharmacist’s contribution to TB control programs may help caregivers and patients concerning the rational use of medication, early detection, and management of ADEs.
Bio-Inspired PSO for Improving Neural Based Diabetes Prediction System

A high level of glucose in the blood over a long period creates diabetes disease. Undiagnosed diabetes may trigger other complications such as cardiovascular disease, nerve damage, renal failure, and so on. There are many factors age, blood pressure, food habits, lifestyle changes are some of the reasons for diabetes. With increasing cases of diabetes in the smart Internet world, there is a need for an automated prediction system to facilitate the patients, to get know, whether they are affected by the disease or not. There are many diabetes prediction software that is already in use, still, the accurateness of a diabetes prediction is not complete. This paper presents a robust framework (PSO-NNDP), employs a novel hybrid feature selector to improvise the neural-based diabetes prediction system. The novel hybrid feature selector presented in this paper comprises the merits of the correlation coefficient, F-score, and particle swarm optimization methods to influence the feature selection process. The reliability of the proposed framework has been experimented on the benchmarking dataset. By establishing the clear steps, for the replacement of missing values, removal of outliers, the proposed framework obtains 99.5% accuracy. Moreover, the experimented machine learning models also show a great improvement upon the usage of the proposed feature selector.
Design and simulate open loop control system for generates regulated DC high voltage.

In many applications like Pulsed load systems that need to be high voltage dc power supplies with no EMI, better regulation and better switching characteristics. High voltage (HV) power supplies are most used in air borne applications, industrial, laser based systems and medical. In our case high voltage power supply are used in RF and plasma generation. This paper presents the design and simulate of the power supply with 3KW power and 1 kV output voltage. For the designer of power supply converter has half bridge with the topology of switched mode power supply (SMPS) based which switching frequency is 10 KHz. This paper covers the single phase supply, half bridge inverter, High frequency transformer, full bridge rectifier, feedback loop control and some electronics component. For making the low cost of power supply, in feedback section designer should use OPAMP, IL494 and IC555 for controlling the duty cycle of the inverter.
and economic sustainability

Current community development programs in the United States and other countries consist primarily of planning and zoning regulations that focus on economic and population growth. In general, these measures have not resulted in the development of sustainable communities. This paper describes an effort to focus on a building-centred community development process. Building-centred community development utilizes the architecture, systems engineering, and materials that make up buildings as a strategy to promote socially, environmentally, and economically sustainable communities. The development of this solution is based on a five-year evolution of experimentation and analysis by the American Indian Housing Initiative at The Pennsylvania State University, USA. The design and construction of two prototype homes for two different communities are then presented as case studies for this project, including the utilization of an international design competition, the Solar Decathlon, as a vehicle for dissemination. The results of this research are presented including how building-centred community design affords the opportunity for economic development within a community related to: 1) The manufacture of building materials and systems; 2) Construction of homes and community buildings; and 3) Further research, development, and outreach.
Development Countermeasures of China's Service Export under the Trend of Global Value Chain Reconstruction

The world is undergoing tremendous changes, Under the impact of international trade protectionism, COVID ‐ 19 and other factors, the trend of anti ‐ globalization is becoming increasingly obvious. The new round of scientific and technological revolution and the change of policy environment have brought the global value chain into the reconstruction stage. At present, the main development direction of the world economic system is service industry. Promoting the high ‐ quality development of service trade will help to improve Chinese international competitiveness. Therefore, based on the export status of China’s service trade, this paper studies the challenges and opportunities faced by China’s service export under the trend of global value chain reconstruction, which not only helps to promote the export trade of China’s service products, but also provides important guiding significance for the overall development of Chinese foreign trade. Finally, based on the challenges and opportunities, this paper puts forward countermeasures and suggestions to improve the domestic service industry system, expand international cooperation, build a risk response mechanism, develop a new model of service digitization, and build a regional value chain for reference.
3-Dimensional numerical study of cooling performance of a heat sink with air-water flow through mini-channel

The present microelectronics market demands devices with high power dissipation capabilities having enhanced cooling per unit area. The drive for miniaturizing the devices to even micro level dimensions is shooting up the applied heat flux on such devices, resulting in complexity in heat transfer and cooling management. In this paper, a method of CPU processor cooling is introduced where active and passive cooling techniques are incorporated simultaneously. A heat sink consisting of fins is designed, where water flows internally through the mini-channel fins and air flows externally. Three dimensional numerical simulations are performed for large set of Reynolds number in laminar region using finite volume method for both developing flows. The dimensions of mini-channel fins are varied for several aspect ratios such as 1, 1.33, 2 and 4. Constant temperature (T) boundary condition is applied at heat sink base. Channel fluid temperature, pressure drop are analyzed to obtain best cooling option in the presen.
Metals Cooperative Research and Development Agreement (CRADA) Phase I Report: Development of an Overarching Bioavailability Modeling Approach to Support US EPA’s Aquatic Life Water Quality Criteria for Metals

metals considering a common model parameter set, modeling approach and platform to update the remaining metals AWQC. This report provides a review of models that are available to predict the toxicity of metals with respect to the factors that modify toxicity as a function of water chemistry. The report focuses on the performance of BLMs and MLR models for existing data sets for aluminum, copper, lead, and nickel. These datasets were developed to meet the criteria established in the 1985 Guidelines (US EPA 1985) for AWQC development and the models were evaluated using the criteria established in the Society of Environmental Toxicology and Chemistry (SETAC) Technical Workshop, Bioavailability-Based Aquatic Toxicity Models for Metals , December 2017 (SETAC 2017). The workshop resulted in a series of articles on “Metal Bioavailability Modeling” that evaluated the performance of models and recommend best practices in the development and use of bioavailability-based values for protection of aquatic life (Adams et al. 2020; Brix al. 2020a; Garman al. 2020; Mebane 2020; Schlekat al. 2020; Van Genderen al. Appendix A
Social Network Engineering for Secure Web Data and Services

While the innovation and phenomenon of social network applications has greatly impacted society, the economy, and the technological pool of the internet; these platforms are not only used for content sharing purposes. They are also used to support and develop new services and applications.Social Network Engineering for Secure Web Data and Services provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet. This comprehensive collection highlights issues and solutions developed to prevent security threats and introduce proper countermeasures for attacks on every level. This book is useful for professionals and researchers in the field of social network and web security.
Borneol as Adjuvant Chemotherapy: A New Way for the Development of Novel Chemotherapeutic

Nature has generously open life-saving remedies to mankind by offering evolutionarily optimized drug like bimolecular in the form of several natural products. These marvelous gifts of nature have been serving as most suitable candidates against the treatment of multiple disorders and particularly for cancer (2nd leading cause of death, cancer) due to their pleiotropic mode of action on target molecules. Current review intends to provide an update on the bioactivities of such gifts from nature, natural borneol, which is the major bioactive constituents of traditionally used medicines. Borneol is a monoterpenoid, isolated from different medicinal plants and have strong potential to be used against multiple disorders such as bacterial and inflammatory infections. Recently it is investigated that borneol has a great potential of inhibiting the growth of multiple neoplasms such as hepatocellular carcinoma, neuroblastoma, glioma, esophageal squamous cell carcinoma, ovarian and lung cancer. Moreover, by regulating the BBB junctions it also increases the drug concentration in cancer cells, this shows that its combine use with already practiced therapeutics may increase the efficacy of these therapeutics against cancer cells. In this review we will summarize all the studies on anticancer activity of borneol, our primary goal will be to discuss the combined use of borneol with other clinically used drugs to improve their efficacy against human cancers.
Enhancing Security Gaps in Smart Grid Communication

In order to develop smart grid communications infrastructure, a high level of interconnectivity and reliability among its nodes is required. Sensors, advanced metering devices, electrical appliances, and monitoring devices, just to mention a few, will be highly interconnected allowing for the seamless flow of data. Reliability and security in this flow of data between nodes is crucial due to the low latency and cyber-attacks resilience requirements of the Smart Grid. In particular, Artificial Intelligence techniques such as Fuzzy Logic, Bayesian Inference, Neural Networks, and other methods can be employed to enhance the security gaps in conventional IDSs. A distributed FPGA-based network with adaptive and cooperative capabilities can be used to study several security and communication aspects of the smart grid infrastructure both from the attackers and defensive point of view. In this paper, the vital issue of security in the smart grid is discussed, along with a possible approach to achieve this by employing FPGA based Radial Basis Function (RBF) network intrusion.
Analyzing the web as a cultural document: an exploratory study of cultural values as depicted on country-specific web sites

The continuing growth in global online markets necessitates companies to attract international consumers and motivate online transactions. However, to effectively target and reach the international consumers online, companies need to address them in their language and culture. Marketers are faced with a question of whether to culturally adapt their web sites or launch standardized global web sites. In the marketing and advertising literature very few studies have addressed the issue of web site standardization or localization, and there is a debate as to whether web sites are culturally neutral or culturally sensitive documents. There is also a dearth of evidence as to whether international consumers prefer to browse and buy from standardized global web sites or web sites adapted to local cultures. This research study provides insight as to whether the web is a culturally neutral medium of communication or a medium impregnated with cultural values. The study also presents empirical evidence as to whether local consumer prefer standardized web sites or web sites adapted to their culture. Specifically, the study aims to focus on cultural aspects of international web site design. To achieve this objective the study has a three-fold focus. First, to review the literature and industry information to understand standardization/localization issues on the web. Second, to conceptualize, refine and validate a framework to measure local cultural values on international country-specific web sites. Third, to do a survey of web users to determine the attitude of people towards culturally adapted web sites versus standardized web sites.
SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices

: Embedded devices are increasingly connected to the Internet to provide new and innovative applications in many domains. However, these devices can also contain security vulnerabilities, which allow attackers to compromise them using malware. In this paper, we present SIMBIoTA-ML, a light-weight antivirus solution that enables embedded IoT devices to take advantage of machine learning-based malware detection. We show that SIMBIoTA-ML can respect the resource constraints of embedded IoT devices, and it has a true positive malware detection rate of ca. 95%, while having a low false positive detection rate at the same time. In addition, the detection process of SIMBIoTA-ML has a near-constant running time, which allows IoT developers to better estimate the delay introduced by scanning a ﬁle for malware, a property that is advantageous in real-time applications, notably in the domain of cyber-physical systems.
State-of-the-Art for Small Satellite Propulsion Systems

The NASA/Goddard Space Flight Center (NASA/GSFC) is in the business of performing world-class, space-based, scientific research on various spacecraft platforms, which now include small satellites (SmallSats). In order to perform world class science on a SmallSat, NASA/GSFC requires that their components be highly reliable, high performing, have low power consumption, at the lowest cost possible. The Propulsion Branch (Code 597) at NASA/GSFC has conducted a SmallSat propulsion system survey to determine their availability and level of development. Based on publicly available information and unique features, this paper discusses some of the existing SmallSat propulsion systems. The systems described in this paper do not indicate or imply any endorsement by NASA or NASA/GSFC over those not included.
EQ Structures Comparison

This paper reviews the development of graphic equalisers using digital signal processing (DSP) for its two main architectures: parallel and cascade. After over viewing each system, modern developments are investigated which show that both implementations have been able to achieve a sub ± 1dB error therefore classifying them as hi-ﬁdelity equalisers. The most signiﬁcant diﬀerence between the two approaches then lies in computational cost, in which improvements are still being made. Lastly, a possible hybridization of the graphic equaliser was investigated using a classic example, but it did not achieve improvements to the modern methods. Additional testing and adjustment of the modern methods to suit the hybrid structure would be necessary. Future implementations of a possible hybrid structure could aim to provide beneﬁts to unresolved issues with graphic equalisers by focusing on reducing computational costs. This could be accomplished by providing the simultaneous computing beneﬁts of the parallel structure but reducing the operations of an entirely parallel system by using cascaded sections.
Instrument physical model for the SOXS (Son Of X-Shooter) spectrograph

We present the proposal for the physical instrument model of the SOXS (Son OF X-Shooter) spectroscopic facility mainly devoted to the follow-up observation of transient sources. A dedicated suitable instrument to exploit the science of these transients is lacking, resulting in severe science “dissipation”. SOXS will cover the optical/NIR band (0.35-1.75 μm) with a medium resolution (R~4500), down to the limiting magnitude of R~20-20.5 (1 hr at S/N~10) that is perfectly suited to study transients from on-going imaging surveys. Imaging capabilities in the optical are also foreseen to allow for multi-band photometry of the faintest transients with a field of view of at least 2arcmin. We propose to implement a physical modelling approach in order to link the instrument parameters and behaviour to physical quantities, thus providing a description of the instrument that can be connected with measurements. The method has been already successfully applied to the X-shooter instrument. The X-shooter physical model is based on a kernel optical ray-tracing realised by means of matrix optics representation, which can handle a large number of wavelengths. This can be extended to the SOXS design. The foreseen applications of the SOXS physical model are broad, ranging from support to detailed instrument design and development of the data reduction software, wavelength calibration, evaluation of instrument performance as a function of the model parameters, instrument alignment, and support during the commissioning phase and as a tool for quality check during operations.
A Lightweight Remote Mutual Authentication Scheme for Smart Home Environments

: Based on IoT technology, smart home owners can access smart devices remotely and enjoy convenient and efficient services. However, sensitive data collected by smart devices are vulnerable to attacks such as eavesdropping and impersonation when transmitted over untrusted channels. The security of resource-constrained smart devices is low, and attackers may use the controlled devices to further execute malicious behaviors. In order to solve the above existing security problems, a lightweight remote mutual authentication scheme is designed in this paper, which can be applied in resource-constrained smart home environments. Compared with related schemes, this scheme has lower computation overhead and communication overhead.
IMPROVING THE OPERATIONAL STRATEGY OF INDUSTRIAL ENTERPRISES

: In the post-industrial period, at macro and micro level services are combined with industrial production, and the main competitive benefits are the characteristics of the product not only in the technological process, but also in the process of collaboration with supply chain members, in this case it is more appropriate let's talk about the operational strategy not of the industrial production-oriented enterprise, but of the industrial enterprise. Linguistically, the term "strategy" comes from the Greek term "strategos", which means driving force. Solutions that increase their influence throughout the organization and refer to the definition of its position in relation to the business environment, and determine the organization's orientation towards long-term objectives can be approved as strategic decisions. In this case, the strategy is a model of decisions and actions that help the long-term development of the business. The operational strategy is related to the structure of strategic decisions that determine the role, tasks and processes of operational activities. The operational strategy depends on the corporate strategy, which is based on the main mission of the organization and shows how the company wants to use all its resources and functions (marketing, finance and operations) in order to provide a competitive advantage.