Miracle-dz/UniFAR-FTUs huggingface dataset:
Heterocyclic Schiff Bases as Main Entity In Methine & Metal Complexes Cyanine Dyes Synthesis

Heterocyclic Schiff bases (1a-g) was prepared and employed in the synthesis of substituted ketomethylene acyclic (cyclic) heterocyclic quaternary iodide salts and acyclic pyrazolo and/or cyclic substituted pyrrolo[5, 4-d] pyrazolin-mero-2(4), pyrrolo [5, 4-d] pyrazolo-zero-3[4(1)]methine and pyrrolo[5, 4-d] pyrazolo or pyrazol [4, 5-d] dioxine (thiazine/ oxazine) metal complex cyanine dyes (2a-d, 3A, B, 4a-d & 5a, b, 6A, B & 7a-c, 8a-c, 11a-d, 12, 13a-d, 14a, b & 17). The new synthesized cyanines and their metal chelator complex dyes were identified by elemental & spectral analyses, The absorption spectra and solvatochromic behaviours of the newly selected synthesised dyes was investigated in pure organic solvents, as well as in aqueous universal buffer solutions.
Dental Biofilm and periodontal disease

Cite this article: Goswami Dilip. Dental Biofilm and Periodontal Disease. Int J Health Res Medico Leg Prae 2021 JanJun;7(1):98-100. Doi:10.31741/ijhrmlp.v7. i1.2021. 18 Oral health is an essential aspect of general health and is considered an integral component of an individual's overall health and well-being. Various forms of oral diseases, including gingival and periodontal diseases, have affected the human population since prehistoric time. Several research studies have convincingly established the role of the dental biofilm in the initiation and progression of various forms of periodontal disease. Studies have also shown the link between poor periodontal health and the systemic health of an individual. In this article, an attempt has been made to highlight dental biofilm and its role in the initiation and progression of periodontal diseases.In the recent time, much importance to oral health has been given as studies have shown that periodontal diseases are associated with various systemic diseases like diabetes mellitus, preterm low birth weight babies, chronic obstructive pulmonary disease, heart attack and stroke.
Business and environmental impact of ISO 14001

Purpose – The International Organization for Standardization (ISO) has developed the ISO 14000 series of standards for environmental management as a response to the concerns about sustainable development expressed at the 1992 United Nations Conference on Environment and Development in Rio de Janeiro. The most important standard is ISO 14001, published in 1996 and slightly modified in 2004, which specifies requirements for environmental management systems. Worldwide, 188,815 organisations have obtained a certificate for their environmental management system based on this standard (figures December 2008). This paper aims to address the extent to which implementation of this standard has contributed to sustainability and also whether implementation is not only an expenditure, but also a source of business benefits.Design/methodology/approach – In order to answer these questions, the existing literature on the impact of ISO 14001 has been reviewed.Findings – Literature shows evidence for environmental and/or .
Early Puberty and Hormone Disruptors

Adolescence is a dynamic mechanism influenced by a variety of factors like race, gender, and environmental forces as well as physical and psychological processes. The first symptoms of puberty are noticeable changes such as the formation of pubic hair, breast size, and body odor, and since these changes are most readily detected in females, research on early puberty are often done and analyzed on females. While there is no definitive lower age limit, it is eight years for girls and nine years for boys. The observation of transition in children under this age is called early puberty, but as our diet and lifestyle change, this age limit is shrinking, and its prevalence is increasing. While not all causes of early puberty have been identified, the most frequent one is early activation of the hypothalamic-pituitary-gonadal (HPG) axis, which can be caused by a variety of hormone disruptors. The general causes of precocious puberty and the effects of multiple hormone disruptors are discussed in this paper.
Decoding Brain Activity Features to Recognize Distorted Objects

Brain decoding is able to make human interact with an external machine or robot for assisting patient’s rehabilitation. Brain generic object recognition ability can be decoded through multiple neuroimaging modalities like functional magnetic resonance imaging (fMRI). On the other hand, external machine may wrongly recognize objects due to distorted noisy or blurring images caused by many factors, and therefore deteriorate performance of brain-machine interaction. In order to create better machine, generalization capability of human brain is transferred to classifier for enhancing classification accuracy of distorted images. Since homology existing between human and machine vision has been demonstrated, through decoding neural activity features of fMRI signals into feature units of convolutional neural network layers, an enhanced object recognition method is proposed to integrate brain activity into classifier for increasing classification accuracy. Experimental results show that the proposed method is able to enhance generalization capability of distorted object recognition.
A Joint Path and Server Selection Mechanism in SDN-based Content Delivery Networks

Content Delivery Networks (CDN) have been widely deployed by Internet service providers (ISPs) for better user experience and quality of services (QoS). However, as it is difficult to obtain overall network information in legacy networks, it is still challenging for ISPs to efficiently manage CDNs. Software-Defined Networking (SDN) is regarded as one promising solution for network management and service provisioning by exploiting flexible and adaptive network control. This paper proposed a joint path and server selection mechanism for Anycast to improve the efficiency on network resource management in SDN-based CDNs. Furthermore, our approach can be updated dynamically based on measured network status. Last, our approach is validated in terms of throughput and latency by simulations. Preliminary evaluations showed that the proposed method can balance traffic load in each path and outperform other approaches.
Hardware Specialization: From Cell to Heterogeneous Microprocessors Everywhere

With advances in device technologies, design methodologies, and programming paradigms, microprocessors of today have undergone a complete metamorphosis compared to their predecessors from the 1970s and 1980s. In particular, heterogeneity has become an all-pervasive feature of modern-day processors in device and packaging technologies, architectures, and programming interfaces, resulting in unprecedented enhancements in their performance, power efficiency, and functionality. We explore these heterogeneous designs, from their inception in the early 2000s, to their culmination into a whole new class of processors termed as Systems-on-a-Chip, and finally track their evolution into the microprocessors of tomorrow.
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features

Epilepsy is a brain disorder disease that affects people’s quality of life. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper provides a computer-aided diagnosis system (CADS) for the automatic diagnosis of epileptic seizures in EEG signals. The proposed method consists of three steps, including preprocessing, feature extraction, and classification. In order to perform the simulations, the Bonn and Freiburg datasets are used. Firstly, we used a band-pass filter with 0.5–40 Hz cut-off frequency for removal artifacts of the EEG datasets. Tunable-Q Wavelet Transform (TQWT) is used for EEG signal decomposition. In the second step, various linear and nonlinear features are extracted from TQWT sub-bands. In this step, various statistical, frequency, and nonlinear features are extracted from the sub-bands. The nonlinear features used are based on fractal dimensions (FDs) and entropy theories. In the classification step, different approaches based on conventional machine learning (ML) and deep learning (DL) are discussed. In this step, a CNN–RNN-based DL method with the number of layers proposed is applied. The extracted features have been fed to the input of the proposed CNN–RNN model, and satisfactory results have been reported. In the classification step, the K-fold cross-validation with k = 10 is employed to demonstrate the effectiveness of the proposed CNN–RNN classification procedure. The results revealed that the proposed CNN–RNN method for Bonn and Freiburg datasets achieved an accuracy of 99.71% and 99.13%, respectively.
Management method for Change Management in ERP systems

The objective of this thesis is to help Spotify to improve their internal change management process in their financial system. The work was done by charting the internal teams that create, influence and use data in the company’s financial system. Furthermore, the working methods of the different teams were compared and differences in how they work were identified.Our findings show that there are both different working processes and attitudes between the teams. This creates challenges in the change management process, especially in cross-functional projects. Conclusions from the results are presented as suggestions. These may help to improve the change management process in cross-functional projects at Spotify:Implement a coordinator role, which works as a single point of contact for everything that is related to changes in the financial system. The new role helps to improve the distribution of information.Create a new team that is responsible for all changes that affect the financial system. A new team reduces dependencies betweenthe different teams.Introduce cross-functional project managers who receive dedicated resources to implement projects where multiple teams are involved. The project manager can then take full responsibility for the entire process.Make sure the effectiveness/productivity of all involved teams is measured by the value created for the whole value chain rather than when their respective part has been delivered.Have a workshop (1-5 days) in which participants from the teams that needs to integrate components work together. This will be an effective way to minimize the waiting time between the teams.Create a service level agreement between the different teams, so that each team can efficiently plan their resources and know what to expect from other teams.
Vaginal delivery of clotrimazole by mucoadhesion for treatment of candidiasis

The aim of this study was to prepare mucoadhesive vaginal tablets of clotrimazole for treatment of vaginal candidiasis. A combination of mucoadhesive polymers like HPMC K100M, Sodium CMC, and Eudragit L100 were used in different ratios prepare solid dispersions to enhance its solubility. Tablets were prepared by the wet granulation method. Solid dispersions were evaluated for saturation solubility. All tablet batches were evaluated for weight variation, hardness, friability, drug content, swelling index, in vitro drug release study, ex vivo diffusion and mucoadhesive strength. FTIR spectra showed there was no interaction between the drug and the excipients. HPMC K100 M increased the solubility of clotrimazole in simulated vaginal fluid at pH 4.5. Eudragit L100 was shown to increase the swelling and mucoadhesive strength of the tablet, i.e., 3.03 and 3.29 g. The in vitro and ex vivo release of all 9 batches showed between 61 to 78% release in 8h. Ex vivo diffusion studies using sheep vaginal membrane showed 43 to 59% in 6h in simulated vaginal fluid. The release and flux were nearly comparable to marketed tablet i.e., Candid-V6. The drug release of all batches followed the Korsmeyer-Peppas kinetic model, and the mechanism was found to be non‐Fickian/anomalous. Keywords: Clotrimazole, solid dispersion, HPMC K100M, Eudragit L100, Sodium CMC.
Clustering Unknown IoT Devices in a 5G Mobile Network Security Context via Machine Learning

We propose a novel machine-learning pipeline for clustering unknown IoT devices in an industrial 5G mobile-network setting. Organizing IoT devices as few homogeneous device groups improves the applicability of network-intrusion detection systems. More specifically, we develop feature engineering methods that transform IP-flows into device-level data points, define distance metrics between the data points, and apply the DBSCAN algorithm on them. Our experiments on a simulated IoT device network with varying levels of noise show that our proposed methodology outperforms alternative methods and is the only one producing a robust grouping of the IoT devices with noise present in the traffic data.
IMPILO Platform - An Innovative Blockchain-Based Global Open Healthcare Social Network

The current research project focuses on the development of an innovative social health network and electronic health record system (IMPILO platform) which is based on Blockchain technology. The purpose of this project is to provide a series of health services (e.g. booking of medical appointments and tele-counselling meetings) to both citizens and doctors that would offer a more direct communication and cooperation between them and thus help reduce critical delays in medical care provision. As IMPILO manages health data, in addition to the group of friends found in some forms on all social networks, two additional certain types of user relationships have been defined: Circle of Trust (which includes a limited number of people with full rights to review and modify each user's profile and health record) and Care Team (which consists of the users-doctors that have access to their profile and medical data and can perform certain actions on their behalf). This feature is useful for keeping profiles of elderly and minors. The utilization of the capabilities of the blockchain technology in areas beyond cryptocurrencies is of particular value, especially in the field of health, where the IMPILO platform creates more reliable and durable networks, using the blockchain technology, while helping to the seamless communication between the various stakeholders (doctors, patients, hospitals, etc.). The decentralized data storage and full control of a patient's consent management process helps overcome issues such as the secure management of sensitive personal data and authorization to access medical data. Thus, blockchain is one of the most important components of the IMPILO platform that acts as a basis for recording all meaningful events in the application and provides security to users for the integrity of their data. The application is accessible via a smartphone application (for both Android and iOS operating systems) and a web interface, with a special emphasis on the design of functional, efficient and easy-to-use user interfaces, taking into account the requirements of the end users of the application and the specifics of the health sector.
Validation of a nonlinear transistor model by power spectrum characteristics of HEMT's and MESFET's

The bias dependence of the power output spectrum and the generation of intermodulation products from different HEMT's and MESFET's at large signal excitation is studied and compared with simulated values. An extended HEMT/FET model suitable for small and and negative V/sub ds/ (with a drain voltage dependence of the peak transconductance in the unsaturated drain current region, and at negative drain voltage), is also proposed. Good agreement between simulated and measured power spectrum up to at least the fourth harmonic is demonstrated for HEMT and MESFET devices from different manufacturers. Measured and simulated intermodulation products are also in good agreement, which confirm the validity of the model. >
Acne Syndromes and Mosaicism

Abnormal mosaicism is the coexistence of cells with at least two genotypes, by the time of birth, in an individual derived from a single zygote, which leads to a disease phenotype. Somatic mosaicism can be further categorized into segmental mosaicism and nonsegmental somatic mosaicism. Acne is a chronic illness characterized by inflammatory changes around and in the pilosebaceous units, commonly due to hormone- and inflammatory signaling-mediated factors. Several systemic disorders, such as congenital adrenal hyperplasia, polycystic ovarian syndrome, and seborrhoea-acne-hirsutism-androgenetic alopecia syndrome have classically been associated with acne. Autoinflammatory syndromes, including PAPA, PASH, PAPASH, PsAPASH, PsaPSASH, PASS, and SAPHO syndromes include acneiform lesions as a key manifestation. Mosaic germline mutations in the FGFR2 gene have been associated with Apert syndrome and nevus comedonicus, two illnesses that are accompanied by acneiform lesions. In this review, we summarize the concept of cutaneous mosaicism and elaborate on acne syndromes, as well as acneiform mosaicism.
Effect of soil set-up on the capacity of jacked concrete pipe piles in mixed soils

The increase in capacity of displacement piles with time after installation is typically known as soil/pile set-up. A full-scale field test is carried out to observe the set-up effect for open-ended concrete pipe piles jacked into mixed soils. Both the total capacity and the average unit shaft resistance increase approximately linearly with logarithmic time. The average increase rate for unit shaft resistance is 44% per log cycle, while the average increase for total capacity is approximately 21%. A review on case histories for long-term set-up indicates an average set-up rate of approximately 40%. Based on this, the mechanism of pile set-up is discussed in detail and a three-phase model is suggested.
A 1.6–3.2-GHz Sixth-Order ${+}$ 13.1-dBm OIP3 Linear Phase ${ g}_{ m}$ - $C$ Filter for Fiber-Optic EDC Receivers

A sixth-order low-pass g m-C filter for fiber-optic electrical dispersion compensation receivers cascades three biquads permitting a reduction of group delay variation down to 10 ps. A cutoff frequency is tuned from 1.6 to 3.2 GHz by using two methods, namely, changing gm and switching a CMOS varactor's polarity. Output third-order intercept point reaches 13.1 dBm and total harmonic distortion is below -40 dB at 0.9 V pp-diff output. The continuous time filter is implemented in a 0.18-? m SiGe process, it occupies 0.17 mm2 on a 3.2 × 3.7 mm2 test chip and consumes 0.3 W from a 3.3-V supply.
Roundoff noise and overflow in normal digital filters

Minimum-norm realizations of fixed-point digital filters provide guaranteed immunity from autonomous overflow limit cycles. This paper presents an analysis of the relationship between dynamic range and roundoff noise for a class of minimum-norm realizations called "normal. " For normal realizations, the eigenvectors of the system matrix form an orthogonal basis for the system state space. An explicit expression for minimum roundoff noise, under an 12 dynamic range constraint, is derived, and means for achieving this minimum are given. The simple expression for minimum roundoff noise permits easy determination, by trial and error, of optimal subfilter structures. Explicit expressions for the state-space parameters of optimal secondorder normal filters are given.
Harmonic analysis of PWM multi-level converters

The method of modulation based on a triangular carrier signal and a sinusoidal modulating signal has been widely used in Graetz bridges. This method is applied to multilevel converters where, with the chain-circuit converter as an example, there are two carriers per chain link. Each carrier is responsible for one output voltage pulse per half power-frequency cycle. The fundamental and harmonic components of the converter output voltage are calculated by a three-dimensional modulation model and the double Fourier series, without the need for iterative numerical techniques. The harmonics results are compared with those of a single-phase two-level converter with a high-frequency carrier. The harmonic performance of the chain-circuit converter is generally better. The extension of the method to more than one output voltage pulse per half power-frequency cycle per chain link is also discussed.
Sexual Assault Resistance Education’s Benefits for Survivors of Attempted and Completed Rape

Abstract The effectiveness of the Enhanced Assess, Acknowledge, Act (EAAA) program in reducing victimization and impacting other outcomes (mediators of program effects) was demonstrated in a randomized controlled trial. A planned analysis showed that program effects on sexual assault were not significantly different for survivors of completed rape and other women. The present article investigated whether the impact of EAAA on incidence of rape and attempted rape and on the mediators of EAAA’s effectiveness (e.g., situational risk detection, direct resistance, self-defense self-efficacy) was strengthened or weakened for women with a history of victimization (i.e., history of rape, attempted rape, or neither). EAAA’s impact on self-blame for women who experienced rape after program participation was also assessed. Data from 851 women who received either EAAA or a control intervention were examined. Regardless of victimization history, participants benefited from EAAA to some degree (28%–85% relative risk reduction). Prior victimization was not a significant moderator of the variables that mediate EAAA’s effectiveness, suggesting EAAA functions similarly for women regardless of victimization history. Finally, women who were raped post-intervention blamed themselves significantly less after taking EAAA than women in the control group. This effect was found both for rape survivors and women with no history of victimization but not for attempted rape survivors. These results contribute to the #MeToo movement(s) by showing the power of feminist resistance education as well as areas where program adaptation or boosters are needed.
EFFECT OF EDUCATIONAL POSTER MEDIA ON THE ABILITY TO RECOGNIZE THE CONCEPT OF NUMBERS AND FINE MOTORICS IN GROUP A CHILDREN IN KINDERGARTEN

The purpose of this research was to determine the effect of the effectiveness of educative poster media on the ability to recognize the concept of numbers and fine motor skills in group A Kindergarten children. The research was carried out through a quantitative approach with an experimental design. The experimental design used is a nonequivalent control group design. The research subjects were children of group A of Ar-Rasyid Islamic Kindergarten and TKM NU 04 Tambak Sumur Sidoarjo which were selected through random sampling technique. The research data was collected through observation techniques with observation sheet instruments for the ability to recognize the concept of numbers and children's fine motor skills. The research data were analyzed statistically through the t test technique. Hypothesis testing uses a significance level of 5%. The results of data analysis show that: 1) the use of effective educational poster media to improve the ability to recognize the concept of numbers in group A Kindergarten; 2) the use of effective educational poster media to improve the fine motor skills of children in group A Kindergarten. The implication of this research is that educational poster media can be used to support the completeness of learning activities by teachers as an innovative, effective learning medium, and can function as a learning strategy that increases enthusiasm, and increases the ability to recognize number concepts and fine motor skills in kindergarten children.