Miracle-dz/UniFAR-FTUs huggingface dataset:
Microcirculation of the Newborn

Appropriate regulation of microvascular blood flow in the neonate is crucial for cardiorespiratory stability and survival in the period immediately following birth. Inappropriate microvascular dilatation in the first few days of extrauterine life is associated with poor outcomes in preterm neonates. Male very preterm neonates (≤28 weeks completed gestation) have significantly higher flows than females of the same gestational age. This is of clinical importance as preterm males are twice as likely to die as females. Very little is known about the mechanisms underlying microvascular tone regulation in the perinatal period. Previous studies suggest a role for the gasotransmit‐ ters nitric oxide and carbon monoxide; however, differences in levels of these molecules do not account for all the variation observed, suggesting another player. In this chapter, the role of the third gasotransmitter—hydrogen sulphide—as a potential mediator of microvascular (dys)function in the preterm is explored.
DETECTION OF SECURITY ATTACKS BY USING TEST PATTERN GENERATION

—Hardware implementation of cryptographic algorithms is subject to various attacks. It has been previously demonstrated that scan chains introduced for hardware testability open a back door to potential attacks. Here, we propose a scan-protection scheme that provides testing facilities both at production time and over the course of the circuit’s life. The underlying principles to scan-in both input vectors and expected responses and to compare expected and actual responses within the circuit. Compared to regular scan tests, this technique has no impact on the quality of the test or the model-based fault diagnosis. It entails negligible area overhead and avoids the use of an authentication test mechanism.
Review of Existing Techniques of Lung Nodule Cancer Detection and Existing Algorithms That Can Be Used for Efficient Detection in Future

: The paper studies the various methods of lung nodule cancer detection their advantage and disadvantage. The paper further aims at suggesting existing methods which can be used in detection of lung nodules of very small size accurately. The suggested methods have higher level of accuracy than existing methods thus if incorporated in detection for nodule can generate higher level of accuracy.
Evaluation of Different Multilevel Inverter Topologies for Harmonics and Power Losses

: With the emission norms becoming more stringent and escalating cost of hydrocarbon fuels automotive companies are developing Electric Vehicles (EV), Hybrid Electric Vehicles (HEVs), and Plug-in Hybrid Electric Vehicles (PHEV). All this vehicles need a traction motor and a power converter to drive the traction motor. The requirements for the power converters include high peak power, optimum consumption of energy, low output harmonics and inexpensive circuit. One of the promising technologies that can be made to meet these requirements is Multilevel Inverters (MLI). This paper discusses the three types MLI namely of diode clamped, cascaded H-bridge, and reduced switch multilevel inverters (MLI). This paper focuses on evaluation of harmonics and power losses in the above inverter topologies. Based on the simulation results obtained it is found that Total Harmonic Distortion (THD) of MLI is less compared to H-Bridge inverter where as power loss in H-Bridge inverter is less compared to MLI.
Authority in Pentecostal Churches in Lusaka-Zambia: A Comparative Study of Female and Male Pastors

This paper is a summary of a research study established to investigate the pastoral roles of female and male pastors in Pentecostal churches in Zambia from a Christian feminist perspective. Structured questionnaires, Interview and Focus Group Discussion (FGD) guides were used. Divine calling was cited as the reason for becoming pastors by the male Pastors and the 38.7% of female pastors. The majority of female pastors (61.3%) became pastors because their spouses were pastors. Male pastors were the ‘heads’ and mostly made strategic and tactical decisions whilst the majority of female pastors were assistant pastors,heads of female department and mostly made operational decisions. Compared to the male pastors, pastoral qualifications were not enough to earn female pastors governing authority. The study recommends the redesigning of pastoral training curriculum to include gender equality issues, use of the Gender Parity Model of Leadership (GPML) and encouraging women to go for pastoral training.
An Analysis of the Ttitude of People towards Prevention and Control of Dengue in District Bhakkar Punjab Pakistan

Dengue fever took hundreds of precious lives in the last two years in Pakistan in general and Punjab province in particular, which is caused by infection from a virus namely Flavi virus and this disease is transmitted by the mosquito Aedes aegypti, rarely the Aedes albopictus. This study was conducted to analyze the attitude of people towards prevention and control of Dengue in District Bhakkar of Punjab Province of Pakistan. The study has found that poor awareness of the people and ignorance is the major reason besides government failure to educate people and to take preventive measures ahead of the breeding of mosquito Aedes aegypti, the Aedes albopictus especially after rainy season during summer. A structured questionnaire was used to collect primary data, which was feeded to SPSS 16 for data analysis. Cronbach’s alpha was calculated for reliability analysis. Descriptive and inferential analyses were done to find the fact. 2 test was used to test the hypotheses on ordinal scale for environmental, personal and chemical control as major variables of the study. There was no difference of attitude between literate and illiterate people towards environmental control. The study further identified that literate were more aware about the environmental and personal control then the illiterate, but both having no information regarding chemical control, however, people living in cities were more aware about the environmental and personal control yet, they know how to use chemicals for control of Dengue. The study concludes that government must take measures ahead of dengue season by educating the people through intensive awareness campaign to control environmental contamination besides use of chemicals to prevent the breeding of dengue as an epidemic to save the precious lives. Key w ords: Dengue Fever, Environmental Control, Personal Control, and Chemical Control.
Congenital Adrenal Hyperplasia, the Origin of Combined Infertility: A Case Report and a Review of Literature

Congenital Adrenal Hyperplasia (CAH) – a complex and heterogeneous group of conditions is inherited as Autosomal Recessive (AR) disorders. The resultant deficiencies in one of the five enzymes involved in adrenal steroidogenesis lead to defects in the steroidogenic pathways and biosynthesis of cortisol, aldosterone and androgens. Precursor steroids proximal to the blocked step accumulate and can be shunted into other metabolic pathways, particularly that of androgen biosynthesis. CAH due to 21-Hydroxylase deficiency is traditionally separated into two clinical groups: the Classical form (CCAH), which is further separated into salt-wasting (75%) and simple-virilizing (25%) phenotypes, and the Nonclassical form (NC-CAH). They are differentiated by their hormonal profile, predominant clinical features and age of appearance. CAH can affect fertility in females due to inadequate introitus, oligomenorrhea and elevated progesterone levels. Many authors reported an effect on male fertility as well. This editorial describes a case report of combined infertility due to mutations in the CYP21A2 gene and a review of literature on this subject.
Consumers' Health Information Seeking Behaviour in the Food Market

This study develops and empirically tests a model for understanding consumers’ health information seeking behaviour in the context of processed food (salad dressing). Data were collected from 504 Danish food consumers using a nationally representative consumer-panel. The resul ts suggest that consumers’ product-specific health information seeking is positively affect ed by general food involvement and the usability of product-specific health information. Product-speci fic health information seeking and product-specific health information complexity are both pos itively related to post-purchase health-related dissonance. Moreover, consumers avoid purchasing the same food again if post-purchase health-related dissonance is experienced. These finding s have implications for consumer policy and marketers alike.
AGE RANK DETECTION USING GENERALIZED FEED FORWARD (GFF) NEURAL NETWORK

— In this paper a new classification algorithm is proposed for the Classification of Age rank both in male and female. In order to develop algorithm 125 camera captured images of seven male and seven female in different angles images. With a view to extract features from the Captured images after image processing, an algorithm proposes (FFT) Fast Fourier Transform coefficients. The Efficient classifiers based on Generalized feed forward (GFF) Neural Network. A separate Cross-Validation dataset is used for proper evaluation of the proposed classification algorithm with respect to important performance measures, such as MSE and classification accuracy. The Average Classification Accuracy of GFF Neural Network comprising of one hidden layers with 2 PE’s organized in a typical topology is found to be superior for Training . Finally, optimal algorithm has been developed on the basis of the best classifier performance. The algorithm will provide an effective alternative to traditional method of Age rank detection using captured image analysis for deciding the age in male and female.
Data Collection in Wireless Sensor Networks-A Review

: Wireless sensor networks are the networks which can sense, analyze and then communicate the data. Thedata collection at sensor nodes consumes a lot of energy but sensor nodes are energy constraints. Most of the WSNarchitectures consist of stationary nodes which are heavily deployed over a sensing area. In recent times, severalWSN architectures based on mobile elements (MEs) have been proposed. The usage of Mobile elements resulted in anewer mode in order to minimize and provide a energy consumption in wireless sensor networks (WSN). Most ofthem develop mobility to deal with the problem of data collection in WSNs. The scheduling of mobile elements needto address the traverse pattern and also the time of data collection from respective sensor nodes. Wireless SensorNetwork with MEs and provide a complete arrangement of their architectures, based on the role of the MEs. Mobileelement trajectory control scheme to reduce the sensed data collection delay against obstacles. It will reduce the datacollection delay and balance the energy consumption in WSN.
High Efficiency Interleaved DC-DC Converter for PV Applications

Interleaved Boost converters (IBC) serve a number of applications, which require a boost in the output voltage such as the distributed generators (DG ́S), high voltage battery chargers etc. This paper brings out the design and simulation of a high efficiency two-phase interleaved DC-DC converter with an efficient MPPT controller. The configuration of interleaved boost converters comprises parallel combination of a number of boost converters with phase shifted PWM signals. The advantages of interleaved boost converters compared to conventional boost converters are reduction in output ripple voltage, ripple current and high efficiency. The current ratings of switching devices are considerably reduced due to the high frequency operation, which in turn helps in the reduction of overall cost. The performance parameters of the proposed interleaved boost converter are analyzed by MATLAB simulation.
Quantification of Crystalline Linagliptin Form-A in Amorphous 5 mg Tablets using Calibration curve Method by using Powder X-Ray Diffraction (PXRD)

The ability to detect and quantify polymorphism of pharmaceutical compounds is critically important in ensuring weather the formulated product delivers the desired therapeutic properties or not because different polymorphic forms of a drug exhibit different solubilities, stabilities and bio-availabilities. Amorphous materials are often preferred in the pharmaceutical industry due to their enhanced dissolution rate and bioavailability. Since the amorphous state is metastable and thermodynamically less stable relative to the crystalline state, there is always a potential for unexpected crystallization in storage. Conversion of amorphous to crystalline state can be evaluated by stability studies. Accurate quantification of crystalline phase present in drug materials has become increasingly imperative, due to stringent regulatory concerns about polymorph characterization. In the present study, a quantification PXRD method has been developed to determine the amount of Linagliptin Form-A in Linagliptin amorphous 5 mg tablets. This method is capable of determining the amount of Linagliptin Form-A in Linagliptin amorphous drug substance and Linagliptin tablets. This study emphasizes on the importance of mathematical calculation for physical mixture preparation for polymorphic quantification in drug product. Validation of quantization method was carried out with respect to specificity, precision, ruggedness, linearity, robustness, Limit of Detection (LOD) and Limit of Quantification (LOQ). This method can also be used at the manufacturing site to check the presence of crystalline phase of Linagliptin Form-A in amorphous drug substance and drug product.
Serial / Parallel Implementation of Apriori Algorithm

Association rules are the main technique for data Mining Apriori algorithm is a conventional algorithm of association rule mining. There are many algorithms for mining association rules and their variations are proposed on basis of Apriori algorithm, but those algorithms are not efficient. With the rapid development of networks and information technology, the vast information has paid more and more attention by people. While getting the information with high speed, the analysis and mining of the information and rules hidden deep in the data are also getting more attention. Data mining technology is to organize and analyze the data, which can extract and discover knowledge from the huge and unstructured data, so how to apply the data mining techniques in transactional databases is the focus of this topic studied. In this paper, combining with parallel programming techniques, Apriori algorithm in association rule mining algorithm is described in detail, the algorithm implementation process is illustrated, and the optimized methods of the algorithm are discussed.
BIOGENIC SYNTHESIS OF SILVER NANOPARTICLES AND THEIR POTENTIAL BIOACTIVE APPLICATIONS AGAINST GRAM-POSITIVE AND GRAM-NEGATIVE BACTERIA

The development of a reliable, cost effective and environmentally-friendly technique for the biogenic synthesis of nanomaterials is an important aspect of current nanotechnology research. In the present attempt, we describe biogenic synthesis of silver nanoparticles (AgNPs) from 1mM AgNO3 solution using E. coli strain. The bio-based silver nanoparticles in the reaction mixture appeared brown coloration. Nanoparticles were characterized using UV–Vis spectroscopy, X-ray diffraction (XRD) and Scanning electron microscopy (SEM) analysis. The nanoparticles showed maximum absorbance at 420 nm on ultraviolet-visible spectra. The average size of the nanoparticle was 26.25 ± 13.10 nm. The energy-dispersive spectroscopy (EDS) of the nanoparticles confirmed the presence of elemental silver. No other signal peaks of impurity were detected. Silver nanoparticles exhibited high antibacterial activity using Staphylococcus aureus as an indicator strain. Bacterial killing kinetics in the presence of fabricated silver nanoparticles exhibited higher killing rate against Staphylococcus aureus (94.8%). The correlation coefficient between silver nanoparticles and selected bacterial pathogens revealed that there is a strong negative correlation with (r = -0.83 to -0.99).
Theories and Experiments on Perceptual Filling-in at the Retinal Blind Spot: A Survey

Flow of sensory signal between our eyes and brain is one of the most significant biological communications by which the brain gets several times less compressed information than that received by the eyes. Blind spot, the part of photoreceptor free area of retina from where optic nerves emerge out to convey visual information to brain, is a natural physical limitation of our retinal strata because of which we are unable to get full information of the outer reality. Perceptual filling-in is one of the significant attributes of monocular vision which turns up when a light stimulus appears at blind spot. As this important interpolation process procures a visual compilation without any such oddity, the cardinal mechanism behind it is an interesting and paramount topic of exploration. To model this process computationally and to decipher the underlying neural mechanism, research concerning the designing of various psychophysical experiments is on the rise, presently. Numerous experiments that demarcate the significant roles played by different biological and environmental factors (i.e., visual attention, surround information etc.) in filling-in process, in turn enhance the modelling and understanding of this biological phenomenon. Our article produces a holistic description of filling-in mechanism for deciphering the complex integrated mechanism accomplished by the parts of human visual system including eyes, brain, various ocular cells and visual pathways. With this highly congruent intricacy we can perceive the reality despite missing some actual information. The historical study of systematic realization of visual world ‘without reality’, in combination with former and recent explorations to measure neural activity has yielded a rich source for guiding neurobiological and computational frameworks and experimental investigations that have been systematically presented in this survey paper.
Level of Factors Effects on Customers’ Satisfaction of State Health Insurance in Developing Countries: The Case of Vietnam

The article aims to assess the level of factors effecting on customer’s satisfaction with The State Health Insurance, study the case of Vietnam. Parasuraman's SERVQUAL model is utilized to measure the influence of five factors on the customers’ satisfaction with the Vietnam’s State Health Insurance. Five factors are (1) Tangibles, (2) Reliability, (3) Empathy, (4) Assurance and (5) Responsiveness. The data is surveyed by questionnaire by sampling selection method from three Vietnamese largest cities with a total of 764 respondents. Based on the results of Exploratory Factor Analysis (EFA) and multiple regression analysis, five factors have positive effects on the customers’ satisfaction. The level of responsiveness effect is highest, whereas the level of empathy effect is lowest. This empirical result demonstrates that the service quality is essential to create high customers’ satisfaction with The State Health Insurance although it is compulsory for all Vietnamese citizens. Improving service quality is the key to maintain a high covered rate of state health insurance, which contributes to ensuring social security. Keywords: customer’s satisfaction, The State Health Insurance. DOI : 10.7176/JESD/10-24-08 Publication date: December 31 st 2019
Challenges Associated with Managing Pregnancy Following Bariatric Surgery-A Comprehensive Review

The incidence of obesity has reached epidemic proportions. Parallel with that the incidence of the most efficacious and sustainable therapy i.e bariatric surgery (BS) has increased considerably. Over 50% of women who undergo this BS (Including RYGB, LAGB, BPD) are in reproductive age group and hence will encounter the challenges that pregnancy poses in such patients. Here we carried out a systematic review up to 2018 using pubmed search index to analyze the complications one encounters both from maternal and neonatal perspective. Biggest problem till date has been the challenge of diagnosing gestational diabetes mellitus (GDM), as there are complications like dumping syndrome imposed by adding 75gm glucose and falsely high 1h reading and 2nd hr reading coming Very low because of absorption profile alterations. Besides no guidelines exist regarding adequate weight gain in pregnancy following BS, as laid down for different BMI groups without this surgery. Micronutrient deficiency needs to be addressed ensuring adequate supplementation of various vitamins, micronutrients and preventing conditions like precipitation of Wernickes encephalopathy, coagulation disorders. Children born to these mothers were not found to be at higher risk of obesity long-term.
EC PULMONOLOGY AND RESPIRATORY MEDICINE Mini Review Use of Antibiotics for Asthma Exacerbations

Asthma is a common chronic allergic disease and a major public health problem. More often, asthma exacerbation is associated with respiratory infections, and the effects of infections on the incidence of asthma are complex. Antibiotics are widely prescribed for some asthmatics as therapeutic options. However, the role of antibiotics remains uncertain. A major concern, are antibiotics safe and effective ? do they help to treat asthma exacerbations ? This work aims to shortly summarize the current knowledge on the implication of antibiotics use in asthma exacerbation.