Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical Venti lation and Bronchopulmonary Dysplasia

MV is undoubtedly one of the key advances in neonatal care. Even in this era of noninvasive respiratory support, MV remains a mainstay of therapy in the extremely preterm population. Data from the Neonatal Research Network show that 89% of extremely low birth weight (ELBW) infants were treated with MV during the first day of life. Among survivors, almost 95% were invasively ventilated at some point during their hospital stay. In the Surfactant, Positive Pressure, and Oxygenation Randomized Trial
Impact of COVID-19 on 2020 US life expectancy for the Black and Latino populations

The Black and Latino populations have experienced a disproportionate burden of COVID-19 morbidity and mortality, reflecting persistent structural inequalities that increase risk of exposure to COVID-19 and risk of death for those infected. According to the National Center for Health Statistics, as of July 4, 2020, deaths to Black and Latino individuals comprised 23% and 17%, respectively, of the approximately 115,000 COVID-19 deaths. COVID-19 mortality is likely to result in a larger decline in life expectancy during 2020 than the US has experienced for decades as well as a particularly large reduction for Black and Latino individuals. We estimate life expectancy at birth and at age 65 for 2020, by race and ethnicity, using four scenarios of deaths-one in which the COVID-19 pandemic had not occurred and three including COVID-19 mortality projections produced by the Institute for Health Metrics and Evaluation. Our most likely estimate indicates a reduction in life expectancy at birth greater than 1.5 years for both the Black and Latino populations, which is one year larger than the reduction for whites. This would imply that the Black-white gap would increase by 30%, from 3.6 to 4.7 years, thereby eliminating progress made in reducing this differential since 2008 and reversing an overall trend of steeper mortality declines among the Black population since the early 1990s. Latinos, who have consistently experienced lower mortality than whites (a phenomenon known as the Latino or Hispanic paradox), would see their survival advantage decline by 36%, equivalent to its magnitude in 2006.
Compact Slot Loaded Dipole Antenna For Intracranial Hemorrhage Detection

Microwave head imaging systems necessitate compact antennas with steering radiation. To realize the antenna solidity, the sharing technique based on image theory has been used. This halving technique causes a tilt in the main-beam direction. To avoid this, the lateral feeding technique can be used to antenna with the potential to preserve their beam direction. By this technique, the compactness can be achieved. The essential mechanism behind the beam correction is analyzed. The overall dimensions of the designed antenna is 0.25 ×0.06× 0.06 λ0 . The measured near and far field radiation patterns validate the unidirectional radiation of the antenna with a stable boresight main beam. Moreover, the designed antennas will meet the optimally attainable solutions. The application of the designed antenna is achieved in robotic microwave head imaging system.
The dilemma of the direct answer

No Web technology has undergone such an impressive evolution as Web search engines did and still do. Starting with the promise of "Bringing order to the Web"1 by compiling information sources matching a query, retrieval technology has been evolving to a kind of "oracle machinery", being able to recommend a single source, and even to provide direct answers extracted from that source. Notwithstanding the remarkable progress made and the apparent user preferences for direct answers, this paradigm shift comes at a price which is higher than one might expect at first sight, affecting both users and search engine developers in their own way. We call this tradeoff "the dilemma of the direct answer"; it deserves an analysis which has to go beyond system-oriented aspects but scrutinize the way our society deals with both their information needs and means to information access. The paper in hand contributes to this analysis by putting the evolution of retrieval technology and the expectations at it in the context of information retrieval history. Moreover, we discuss the trade offs in information behavior and information system design that users and developers may face in the future.
Using salvage logging and tolerance to risk to reduce the impact of forest fires on timber supply calculations

It is acknowledged that natural forest fires cannot and even should not be eliminated from the North American boreal forest. Forest fires produce immediate losses of wood volume, disrupt the conversion of the actual forest age structure into a target structure, and prevent planned timber supply (PTS) levels from being achieved. In this paper, we explore the extent to which periodic shortfalls in available timber under various burn rates can be mitigated through salvage logging and the tolerance of forest managers to a given level of shortfall, both as a function of forest age class structure. Simulations are done using both a deterministic and a stochastic representation of burn rate over time. Results show that the frequency of shortfall events can be reduced by salvage logging and by the introduction of measures that generate a tolerance to shortfall and that this mitigation potential is influenced by initial forest age class structure and burn rate. Results also show that even a 100% rate of salvage lo.
Sustainable Tourism Development: A Viable Option to Boost the Nigerian Economy

Nigeria has depended too long on ‘exhaustible’ crude oil as the mainstay of the nation’s economy and giving little attention to other sectors capable of diversifying the economy for viable development opportunities. Many nations globally have been acknowledged by various researchers to have benefitted immensely from the diversification of their economy through tourism. Hence the need for Nigeria to focus more on the tourism sector, a clean, renewable industry and viable over an indefinite period that is capable of transforming the nation’s economy and leading to different developments. The paper aims to investigate tourism as an option to boost the Nigerian economy and adopted the quantitative method of data collection and the use of relevant literature. Results from the data analysis shows that tourism has tremendous economic potentials and presents itself as a source of income and employment opportunities as well as a great source of internally generated revenue. The paper concludes and recommends that tourism be given a focus in order to be able to transform the economy from being a single based economy to a sustainable economy that can sustain Nigerians now and in the future.
DESIGN OF A WEED DETECTION SYSTEM FOR COTTON FIELD

Agriculture is the backbone of our country. Most part of the Indian economy comes from agriculture. Most of the farmers are finding new occupation for their lively hood as risks are increasing rapidly in agriculture field. Cotton is one of the important cash crops which are grown in India from many centuries. Weed which stops the growth of the plant is the main risk in agriculture. There are multiple types of weeds and to detect all these weeds its a timeconsuming process. In this paper we consider our main crop as cotton. Here we introduce a method to identify the cotton plants by this every plant other than cotton is a weed. This is done by image processing techniques, where the main template-here we give cotton, is compared with sub templates. Whenever the sub template is not cotton then we consider it as a weed. The tools we used are python 2.7. 9 version, numPy and Open CV. The processing of image done by a simple phenomenon called template matching which is normally used for detection of an object from an image of multiple objects. 1 International Journal of Pure and Applied Mathematics Volume 118 No. 24 2018 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl. eu/hub/ Special Issue http://www.acadpubl. eu/hub/
Towards a Mirror Neuron System via Dual Channel Conditional Neural Movement Primitives

—Mirror neuron system often refers to the brain mechanism of establishing and use of the equivalence of action observation and action execution. Mirror neurons were originally found in monkeys; but, recent neuroimaging data indicate that the adult human brain is endowed with a mirror neuron system, containing mirror neurons and related circuits for matching the observation and execution of actions. Exact mechanism of the mirror system is far from known although computational models have been proposed to explain certain functions of the system in the past. In this paper, we propose a mirror neuron system based on a novel computational system called Conditional Neural Movement Primitives (CNMPs), and report our preliminary ﬁndings. In the proposed system, the visual data and motor signals generated during self-action are fused together via CNMP learning, which allows sharing and mirroring of the relevant information from the two domains. After learning, the system can predict the full action trajectory and visual scene together, given the partial observation of an action, and generalize the knowledge it learned to different scene conﬁgurations.
“Clear” and “Distinct”: two approaches for regular fractional factorial designs with estimability requirements

In many experimental situations, some two-factor interactions are more interesting than others. It is therefore useful to study designs that allow estimation of a prespecified set of two-factor interactions, the requirement set. This report compares two approaches to estimability of two-factor interactions: in the “Distinct” approach, all twofactor interactions outside the requirement set are assumed to be negligible, while the “Clear” approach does not rely on such an assumption. The literature regarding the two approaches is reviewed, and their relation is illustrated through several examples.
IJSRD-International Journal for Scientific Research & Development| Vol. 4, Issue 03, 2016 | ISSN (online): 2321-0613

This paper presents recreation investigations of an Electric arc heater (EAF) displaying and voltage gleaming moderation in the MATLAB environment. EAF was demonstrated as a present source controlled by a non-direct resistance. Voltage flash is a wonder of irritating light force variance, caused by EAF has been a major power quality concern for both power companies and customers. A model was developed for electric arc furnace and the controller for DSTATCOM was designed based on D-Q model for reactive power management which helps in the mitigation of the flicker. Both are applied in the simulation studies of distribution static synchronous compensator (DSTATCOM) for voltage flicker mitigation.
Specific face detection from large number of stored faces

—Face recognition is grabbing more attention in the area of network information access. Areas such as network security and content retrieval benefit from face recognition technology. As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. We have implemented a computational model to identify the face of an unknown person by applying eigenfaces. A static and dynamic input of face is taken from the file and process it with the help of MATLAB tools and show the recognize result. The goal is to implement the system (model) for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. The Eigenface approach uses Principal Component Analysis (PCA) algorithm for the recognition of the images. It gives us efficient way to find the lower dimensional space.
CMOS Power Amplifier using Integrated Transformers

This paper describes the design of mm-wave integrated transformers and their application within a power amplifier (PA) in a 28 nm CMOS technology. The PA presents a 2-stage common-source differential topology and uses one transformer at the input and another at the output to perform single-ended to differential conversion, as well as another transformer to perform interstage matching. The baluns are sized to provide low insertion losses and high common-mode rejection rate (CMRR) as well as integrating the input and output matching networks. The designed baluns achieve minimum insertion losses better than 0.8 dB and CMRR superior to 27 dB. The output-stage transistors have a measured 1 dB output compression point (OCP1dB) of 10.2 dBm, 10.1 dB gain and peak power added efficiency (PAE) as high as 35%. Thanks to the transformers, the PA presents a compact implementation, occupying only 0.037 mm2 on silicon. The fabricated PA achieves 12 dBm OCP1dB, 15.3 dB gain and peak PAE better than 20%.
Performance Analysis of Wireless Sensor Network Using Localization Combined With MAC Protocol

: -The efficient localization complementing the services of wireless sensor networks holds promises of diverse application domains each with competing requirements. The resource constraints of WSN necessitate the efficient localization algorithm which optimizes the resource utilization at various network operation levels like data link layer, routing etc. Energy is scarcest reserve of low power sensing devices in WSNs. The existing localization algorithms might perform efficiently in smaller networks comprising of one or two hop networks but its performance degrades in multihop sensor networks. Towards improving the performance of WSN the localization algorithm is integrated with media access control (MAC) protocol of data link control of network operation. In this paper the localization algorithm is seamlessly combined with MAC protocol to optimize the performance of WSNs. The MAC scheme is basically targeted towards achieving load balancing, throughput and energy optimization. A detailed analysis of performances of a ranged based localization algorithm with various MAC standards was performed on the simulator tool NS-2 with varying application scenarios. With the observed data this is concluded that localization algorithm combined with MAC protocol performs more efficiently in terms of energy usage and positioning accuracy in comparison to localization algorithm without MAC. Thus a MAC protocol is instrumental to improve localization along with conserving the energy usage. The observed data further adds that the MAC protocol may also be utilized to enhance coverage and scalability of WSN localization.
STUDY REGARDING ORGANIC AGRICULTURE AND CERTIFICATION OF PRODUCTS

In this paper, authors collective present statistical data provided by various organizations and institutions involved in organic agriculture movements in the world and in Romania, in order to characterize the particularities of organic farms and organic products certification. Organic agriculture is an integral part of sustainable development strategies and as a viable alternative to conventional agriculture. At the end of 2013, the total organic area in the world means 43.1 million ha and there are approximately two million organic farmers. The commerce of organic food sells 60 billion dollars every year. In Romania, it were recorded a surface of over 288 thou ha in 2014 and around 15,000 operators. Each EU Member State accredits certification and inspection bodies for control of organic farms and products. In this context, the farm/unit also is inspected at least once a year to ensure that you meet the EU-wide organic standards. Only then can products legally be labelled and marketed as “organic”. The EU organic logo and labelling is a quick and simple way for consumers to recognise organic produce, and an important step in guaranteeing that organic produce is always of the same high standards. According to last research performer by EU, more than 70% of Europeans say they trust organic products. However, nearly 60% of them would favour an improvement of the control system. Consumer trust is about more than just quality. It's also about protecting the environment, providing good conditions for animals, and boosting rural development.
Applying Brain-Computer Interfaces outside the lab – Piloting a plane with active BCI

The precursor study presented here describes one further step towards investigating active BCIs in realistic scenarios. We invited six trained pilots to control horizontal ﬂight in a ﬂight simulator via an active BCI. Performance was tracked via standard BCI measures and performance in operational ﬂight tasks. Results indicate that standard BCI setups can indeed be used in realistic scenarios outside of the laboratory.
Belief Map Enhancement Network for Accurate Human Pose Estimation

It is a common practice for pose estimation models to output ﬁxed-size low-resolution belief maps for the body keypoints. The coordinates of the highest belief location are then extracted for each of the body keypoints. When mapping this coarse-grained co-ordinates back into the ﬁne-grained input space, a minor deviation from the ground-truth location will be magniﬁed many times. So, we can usually get more accurate estimation by using larger belief maps. However, the problem is that we can not use too large belief maps due to the limited computational resources. To alleviate this problem, we propose the Belief Map Enhancement Network (En-hanceNet) for more accurate human pose estimation. EnhanceNet enlarges the belief maps by using the efﬁcient sub-pixel operations, which not only increases the belief map resolution but also corrects some wrong predictions at the same time. Our EnhanceNet is simple yet effective. Extensive experiments are conducted on MPII and COCO datasets to verify the effectiveness of our proposed network. Speciﬁcally, we achieve consistently improvements on MPII dataset and COCO human pose dataset by applying our EnhanceNet to the state-of-the-art methods. Our EnhanceNet can be easily inserted into existing networks.
Rearing of Helicoverpa armigera (Hub.) on Artificial Diets in Laboratory

Seven artificial diets were prepared by substituting basic ingredients as flour of chickpea, mungbean, soybean, wheat, maize, cotton seed and water chestnut and tested for rearing Helicoverpa armigera in laboratory and compared with natural food comprising of chickpea leaves and pods. Chickpea flour mediated diet produced healthy larvae and pupae that gained the maximum weight measuring 0.4500 and 0.3805 g and completed development within the minimum duration of 14.5 and 11 days, respectively. Flour of water chestnut reduced their weight to 0.2742 and 0.1775 g with the increased developmental duration of 42.8 and 14.8 days, respectively, as compared to flour of cotton seed, maize and wheat. Likewise, the larval length ranged from 3.7 to 3.3 cm in all treatments. Mortality of larvae was maximum on flour of cotton seed followed by flours of water chestnut, soybean and wheat. However, mortality of H. armigera was minimum and non significant ranging from 1.1 to 1.3% in flour of chickpea, mungbean and natural chickpea leaves and pods. Pupal recovery ranged from 60.3 to 80.1%, with maximum on chickpea flour, and minimum on water chestnut diet. Percent male and female emergence was changed accordingly in all treatments. Apparently normal adult emergence of 91.6% was achieved on chickpea flour, 85.5% on mungbean, 83.1 % on chickpea leaves and pods and 82.5% on soybean. It was concluded that chickpea flour mediated diet along with other essential ingredients are very conducive to get good quality culture of H. armigera. Mungbean and soybean were the other main ingredients of diets that can be used for successful culture rearing.
Field Evaluation of Bacterial Blight of Paddy by Chemicals and Biological Agents

Under field condition, spray of Streptocycline (0.05%) in combination with COC (0.2%) was significantly effective than all other treatments in recording the lowest per cent disease incidence (PDI) of 14.07. Among the bio-agents, Pseudomonas fluorescens (0.5%) was found significantly effective in recording the lowest PDI of 24.44, whereas in untreated control plot, the highest disease intensity of 70.37 PDI was recorded.
Comparison of Overfeeding Influence on Slaughter Performance, Small Intestinal Physiology and Microbiota between Gang Goose and Tianfu Meat Goose

1 Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, P.R. China 2 College of life science, Sichuan Agricultural University, Ya’an, Sichuan, 625014, P.R. China 3 Xichang Huanong Poultry Co., Xichang, Sichuan, 615000, P.R. China Corresponding author’s Email: chunchunhai_510@163.com; ORCID: 0000-0002-8692-767X Received: 20 Apr. 2020 Accepted: 01 June. 2020 ABSTRACT
Life History of the Hawaiian Monk Seal

TH E HAWAIIAN MONK SEAL , Mona chus schauinslandi Matschie, 1905, has long remained one of the rarest and least known of marine mamm als. Few zoologists have been able to reach the remote mid-Pacific coral atolls on which it breeds, and their visits have been brief. While engaged in zoological stud ies in the Leeward Chain of the Hawaiian Islands, we were able to observe these seals from aircraft throughout their principal range, and to make detailed studies of those inhabiting Midway Atoll. We also landed on Green Island in Kure Atoll. Our field study covers the period from November 17, 1956, to October 11, 1957. We gratefully acknowledge the help of the following:]. W. Aldrich, P. L. Breese, V. E. Brock, E. H. Bryan, M . B. Chitwood, C. F. Clagg, E. Y. Dawson , R. Dodge, P. A. DuMont, L. A. Faye, Y. ]. Galvan,]. E. Graves, E. Y . Hosaka, P. L. Illg , E. C. Jones, c. R. joyce,]. E. King,]. A. Neff , G. H . Pournelle, W. Pointon, R. A. Rausch , F. Richardson , C. S. Robbins, V. B. Scheffer, D. W. Strasburg, S. W. Tinker, A. L. Tester, K . Waldron , K . A. Wong, and D. H. Woodside. The help of Naval personnel stationed at Midway was invaluable, particularly that given by Capt . E. T. Hughes, Comdr. ]. L. Hooper, Lt. Comdr. D . E. Moritz, Lt. Comdr. ]. F. Reilly, Lt. D . H . Picht, Ens. R. T. Takahashi , and Chief]. H. Green .
Securing Communication in IoT Ecosystem Using Cryptographic Algorithms

Internet of Things (IoTs) is defined as an evergrowing network, which comprises of numerous physical objects with a specific IP address along with wireless internet communication, which enables the process of information sharing between two objects. Due to the frequent transfer and exchange of high confidential data between two devices through internet, there arise some susceptible attacks in IoT such as denial of service, eavesdropping attack and so on. A high-level authentication protocol and cryptographic techniques are required to resolve the issue of vulnerable attack and data loss. The current study presents a review of various IoT models and applications. Furthermore, the concerns related to security with respect to data sharing and numerous attacks have been featured in this paper. In order to avoid and minimize these attacks, numerous security measures and cryptographic algorithms have been developed by different authors. The study on several existing protocols has been carried out in this research along with the study on authentication algorithm developed by the authors. The result section contrasts a brief idea about the key requirements for the data security and authentication for the future aspects along with necessity of memory and power utilization. Additionally, some examination has been carried out briefing the future directions in which additionally work would be possible on the development of lightweight cryptography protocols.