Miracle-dz/UniFAR-FTUs huggingface dataset:
MICROPROPAGATION OF AN ENDANGERED AND ENDEMIC MEDICINAL PLANT CAYRATIA PEDATA VAR. GLABRA

Objective: The objective of the present study was to develop standardization protocol for the successful in vitro mass propagation of Cayratia pedata var. glabra through leaf and stem explants, since it is a rare, endangered, and endemic medicinal plant using biotechnological involvements and to conserve this endangered species. Methods: The application of biotechnological principles for the establishment of micropropagation under in vitro conditions has been studied by following the methods. The explants, namely, leaf and stem harvested from in vivo plants were thoroughly washed and properly sterilized with sterilients. The explants were transferred to Murashige and Skoog (MS) medium supplemented with growth regulators 6-benzyladenine (BAP) and naphthalene acetic acid (NAA) in the concentration range of 0.5–3.0 mg/l which were tested for callus induction and morphogenesis. The elongated shoots were transferred to MS medium supplemented with NAA at different concentrations for root induction. Results: The explants collected from the field (shola) were treated in different steriliants with various concentrations at different time for sterilization. Among the various combinations tried, the Teepol treatment for 10 min followed by bavistin 20 min, antibiotics, namely, ampicillin and rifampicin for 20 min, 70% alcohol for 30 s, and 0.12 % HgCl2 for 3 min was found to be effective. The explants were cultured in MS medium supplemented with various concentrations of BAP and NAA. The results noted that an increase in the concentration of BAP concomitantly reduced the frequency of callus formation. The maximum callusing frequency and more number of shoot formation was observed in the lower concentration of BAP (0.5 mg/l) in combination with NAA (0.2 mg/l). The callus obtained from all the above combinations was sub-cultured on MS medium with same combinations of BAP and NAA. The maximum frequency of root formation in leaf callus was 85% and 75% in stem callus and both were achieved on MS medium with NAA (1 mg/l) after 2 weeks. Conclusions: The current investigation provides a competent in vitro propagation method for C. pedata var. glabra which could be commercialized for developing identical plants with high-quality mass multiplication rate and for better conservation of the germplasm. Both the methods described here are well suited for the mass multiplication of this critically endangered and endemic climber species.
Evaluating the fitness effects of seed size and maternal tree size on Polylepis tomentella (Rosaceae) seed germination and seedling performance

Abstract In vascular plants, larger seeds are generally associated with higher germination potential, healthier seedlings and overall higher rates of survivorship. How this relationship holds or what other physiological tradeoffs evolved in plants adapted to high-altitude environments, such as the tropical and subtropical highland Polylepis tree, remain unclear. In this study, we evaluated the relationship between seed mass and seedling performance by testing the reserve effect, the metabolic effect, and the seedling-size effect hypotheses in Polylepis tomentella Weddell (Rosaceae). Since the relationship between fitness and seed size can often depend on maternal plant size, we additionally investigated the association between germination success, seedling performance (survival, relative growth rate (RGR) and height), and size of bearing-seed trees under controlled greenhouse conditions. Our results showed that heavier seeds are more likely to germinate, but we did not find evidence that could support the reserve effect, metabolic effect or seedling-size effect. As seedlings from larger and medium seeds exhibited comparatively similar RGR, survival percentages and final size, maternal plant size was positively associated with improved seed quality and seedling performance. These results demonstrate that seed mass and maternal size during early seedling establishment are critical for Polylepis persistence, demography and conservation.
Perancangan Sistem Informasi Administrasi Pembayaran SPP Siswa Berbasis Web

Diterima: 24 Maret 2020 Direview: 16 April 2020 Disetujui: 29 April 2020 The development of technology and the development of science triggered many people to look for alternative solutions to problems in the field of information systems technology. Information technology is currently a very important requirement for the organization or company. Information technology has been widely used for various aspects such as management and human resources. Tuition payments are needed by madrasah to support educational needs, the current system is still done manually, madrasah treasurers record students who will pay tuition fees in books. Therefore researchers use the design of the MA Baiturrahaman Contribution of Education Development payment application to support the performance of the madrasah treasurer to conduct transactions quickly, and do not need to multiply work to process transactions and Contribution of Education Development payment report. The SPP payment application is designed with several stages ranging from data collection to system testing. The application design is designed using UML and developed with the java programming language and MariaDB as a database. The results of this study the treasurer can easily make payment transactions and SPP payment reports can be resolved properly.
PAINEL-Oncologia: uma Ferramenta de Gestão

Introdução: A necessidade de monitorar o intervalo entre o diagnóstico de uma neoplasia maligna e o início do tratamento oncológico no Sistema Público de Saúde demandou a construção de uma nova ferramenta. Para tanto, foi desenvolvido o PAINEL-Oncologia. Objetivo: Apresentar o processo de elaboração da ferramenta, suas aplicações, potencialidades e limites, apontando ainda perspectivas futuras. Método: O painel foi construído a partir do relacionamento determinístico de informações diagnósticas e de tratamento obtidas no Sistema de Informação Ambulatorial, por meio do Boletim de Produção Ambulatorial Individualizado e da Autorização de Procedimento de Alta Complexidade, no Sistema de Informação Hospitalar e no Sistema de Informações de Câncer, utilizando-se o Cartão Nacional de Saúde e o diagnóstico de neoplasia como chave identificadora do caso. Resultados: A ferramenta disponibiliza três painéis: 1 - Painel: Monitoramento do início do tratamento oncológico, que exclui os cânceres de pele não melanoma e tireoide; 2 - Painel: Casos sem data de diagnóstico por ano de tratamento; e 3 - Painel: Casos diagnosticados de câncer de pele não melanoma e tireoide; e um conjunto de gráficos e tabelas com filtros para seleção. Conclusão: O PAINEL-Oncologia foi disponibilizado aos gestores e a órgãos de controle em 15 de maio de 2019. Trata-se de uma ferramenta ágil e acessível ao gestor para o monitoramento do tempo do primeiro tratamento do câncer. Contudo, as informações apresentadas no PAINEL-Oncologia dependem do registro e da qualidade das informações dos Sistemas de Informação em Saúde dos quais ele consome informações.
Nanoemulsions: Synthesis, Characterization, and Application in Bio-Based Active Food Packaging.

The increasing demands for foods with fresh-like characteristics, lower synthetic additive and preservative contents, and low environmental footprint, but still safe to consume, have guided researchers and industries toward the development of milder processing technologies and more eco-friendly packaging solutions. As sustainability acquires an increasingly critical relevance in food packaging, bio-based and/or biodegradable materials stand out as suitable alternatives to their synthetic counterparts. In this context, the use of nanoemulsions has represented a step forward for improving the performance of sustainable food packaging devices, especially for the successful incorporation of new compounds and functionalities into conventional films and coatings. This class of emulsions, featuring unique optical stability and rheological properties, has been developed to protect, encapsulate, and deliver hydrophobic bioactive and functional compounds, including natural preservatives (such as essential oils from plants), nutraceuticals, vitamins, colors, and flavors. This article presents the surfactants (including naturally occurring proteins and carbohydrates), dispersants, and oil-soluble functional compounds used for designing food-grade nanoemulsions intended for packaging applications. The improved kinetic stability, bioavailability, and optical transparency of nanoemulsions over conventional emulsions are discussed considering theoretical concepts and real experiments. Bottom-up and top-down approaches of nanoemulsion fabrication are described, including high-energy (such as high-pressure homogenizers, microfluidics, ultrasound, and high-speed devices) and low-energy methods (for instance, phase inversion and spontaneous emulsification). Finally, incorporation of nanoemulsions in biopolymer matrixes intended for food packaging applications is also addressed, considering current characterization techniques as well as their potential antimicrobial activity against foodborne pathogens.
FACTORS ASSOCIATED WITH DELAYED AMBULANCE RESPONSE TIME IN HOSPITAL UNIVERSITI SAINS MALAYSIA, KUBANG KERIAN, KELANTAN

Ambulance response time is one of the key performance of ambulances services. The objective of this study is to determine the factors associated with delayed ambulance response time in Hospital Universiti Sains Malaysia (HUSM). This was a cross sectional study conducted in Department of Emergency Medicine, Hospital Universiti Sains Malaysia (EDHUSM) between January 2016 to January 2017. A total of 300 ambulance calls were included in our analysis. Data were collected by ambulance paramedic using validated ambulance form. All ambulance forms with missing data were excluded from this study. Of the 300 ambulance calls within the study periods, 254 cases (84.7%) were determined to have delayed ambulance response time. Current ambulance response time is 14 minutes with interquartile range of 5 minutes. Factors which showed significant association delayed ambulance response time include distance from hospital, location, type of emergency and ambulance mechanism. The odd of delayed ambulance response time by every increase in distance unit was 1.59 (95% CI, 1.37 to 1.85). For location type, the odd of delayed ambulance response time for public location as compared to road was 0.13 (95% CI, 0.04 to 0.45). For ambulance mechanism, the odd of delayed ambulance response time for beacon type as compared to siren type was 0.22 (95% CI, 0.01 to 0.69). Further intervention should be initiated based on our findings to improve current ambulance response time.
Music Recommendation System based on Fusion Deep Learning Models

With the growth of user popularity of online music platforms, the amount of music data and the demands on accurate recommendation system for music also increases. Therefore, an accurate and efficient recommendation system is urgently needed. In this paper, a music recommendation system based on fusion deep learning models is proposed. Both of the audio information and lyrics data are originally exploited. A supervised training method is applied to train this model with annotated data. In this paper, the result of the test dataset shows that the proposed model can achieve more than 90% accuracy performance on average.
A Positive-Confidence based approach to Classifying Imbalanced data: A Case Study on Hepatitis

With advancements in the fields of Information science and Machine Learning researchers are increasingly deploying prediction methods to biomedical data to aid with the decision-making process for the domain experts. A combined approach of utilising domain knowledge from experts and the information the data provides us can assist in better decision making. There are two major issues which arise with using such models for biomedical data, namely, class imbalance and lack of transparency in models. Another major issue is Feature selection also plays an important role in the prediction process as noisy data features can confuse the model and lead to a drop-in accuracy.
Evaluation of environmental factors for optimum growth of Rhizoctonia solani causing root rot of cluster bean (Cyamopsis tetragonoloba)

Clusterbean [Cyamopsis tetragonoloba L. ) Taub. ] is popularly known as “Guar” or “Guwar” and belongs to family Fabaceae of kingdom Plantae. It is an important legume crop and mainly grown under rainfed conditions of arid and semi arid regions of tropical India during Kharif and Zaid seasons. It is tolerant to drought, deep rooted and can be grown for different purposes viz., vegetable, green fodder, green manuring, production of seed and for endospermic gum (30-35 percent). Root rot caused by Rhizoctonia solani is an important and becoming severe problem of clusterbean in Rajasthan as well as India under the changing scenario of climate. This study was undertaken to find the most favorable and critical point of temperature, relative humidity and pH factors for optimum growth of the Rhizoctonia solani that may help in survival, spread and cause infection in healthy hosts. The most favorable temperature for flourishing and mycotic growth of Rhizoctonia solani was 30 0C (90.00 mm) followed by 25 0C (80.25 mm). Among various level of relative humidity, 90 per cent relative humidity was most favorable for maximizing growth (90.00 mm) while 6.5 pH was highly suited for maximum growth of the pathogen (632 mg dry mycelial weight). Conclusively, this pathogen requires higher temperature for fast multiplication that is prevalent in arid region of Rajasthan and due to these favorable factors this disease may be gaining importance day by day.
Study of Data Representation Methods for TCM Clinical Assistant Diagnosis

The unbalanced distribution of medical resources renders the research on TCM (Traditional Chinese Medicine) clinical assistant diagnosis more important to regions with less medical resources. In recent years, more and more clinical assistant diagnosis methods are deep learning (DL) based. The input data representation of these DL models is one of the most important factors for achieving better results. In this paper, different data representations methods are investigated using a multi-layer perceptron for a multi-class multi-label TCM clinical assistant diagnosis task. From the experimental results, it can be concluded that fast-Text representation is more suitable to this task since TCM clinical records are brief with limited information.
Quorum sensing autoinducers biosynthesis by biofilm cultures of Pseudomonas aeruginosa strains with different levels of the cyclic diguanozinmonophosphate

Мета роботи – встановити залежність між вмістом цикло-ди-ГМФ і здатністю P. aeruginosa до утворення біоплівки і синтезу аутоіндукторів системи кворуму. Матеріали та методи дослідження. В роботі були використані штам дикого типу P. aeruginosa PA01 і штами P. aeruginosa з низьким (PAO1pJN2133) та підвищеним (PA01 ΔwspF) рівнями циклічного дигуанозинмонофосфату. Культивування проводили у24-лункових плоскодонних планшетах Nuclon при 37 °C у середовищі LB. Масу біоплівки визначали у СV-тесті. Вимірювання здійснювали на спектрофотометрі SmartSpecPlus (Bio-Rad, Hungary) при довжині хвилі 592 нм. Ацил-гомсеринлактони екстрагували підкисленим етилацетатом та визначали їх кількість методом ГХ/МС. Визначення вмісту цикло-ди-ГМФ проводили з використанням репортерної плазміни Seattle шляхом вимірювання інтенсивності флуоресценції клітин у біоплівках. Результати дослідження. Встановлено, що штам P. aeruginosa PA01 pJN2133, внутрішньоклітинний вміст цикло-ди-ГМФ якого є у 4 рази меншим ніж у P. aeruginosa, утворює біоплівку, маса якої у 3,5 рази нижча ніж у батьківського штаму. Штам P. aeruginosa PA01 ΔwspF перевищує P. aeruginosa PA01 за цими показниками у 1,5 рази та 33 %, відповідно. Ще більш виражені відмінності виявляються при співставленні між собою мутантних штамів. За рівнем цикло-ди-ГМФ P. aeruginosa PA01 ΔwspF переважає штам PA01 pJN2133 у 5,9 рази, а за масою біоплівки – у п’ять разів. Найбільшу кількість сигнальних молекул системи кворум сенсінг синтезує штам з низьким рівнем вторинного месенджера. Висновки. Між внутрішньоклітинним вмістом цикло-ди-ГМФ і здатністю до утворення біоплівки існує прямо-пропорційна залежність:чим вище вміст вторинного месенджера, тим більша маса біоплівки. Концентрація аутоіндукторів QS у середовищі зворотнім чином зв’язана з внутрішньоклітинним вмістом цикло-ди-ГМФ: у порівнянні з батьківським штамом підвищена у штаму з низьким вмістом вторинного месенджера і знижена у штаму з його підвищеним рівнем Ключові слова: Pseudomonas aeruginosa, quorum sensing, біоплівки, цикло-ди-ГМФ, аутоіндуктори QS
Self-expanding stents based on shape memory alloys and shape memory polymers

Stents are nets which open a stenotic vessel, therefore allowing restoration of the blood stream to peripheral tissues. The advantage of the self-expandable stent with respect to the stainless steel one is that it does not need balloon expansion which possess the risks of further damage of the vascular tissue due to its inflation, it does not require an overexpansion to account for the elastic recoil, and, when positioned, it exerts on the artery a constant force (due to the plateau) unless the artery does not try to occlude the device. The disadvantage, in case of calcified plaques, is that the stent is not able to bring the vessel lumen to the original healthy dimensions. Self-expandable stents are used to treat atherosclerotic lesions in the coronary arteries, the carotid arteries, and in the peripheral arteries. Shape memory alloys, mainly NiTi, are used in numerous applications of the self-expandable vascular stents. Ni-Ti is widely implemented for implants and medical devices because of its excellent biocompatibility, mechanical characteristics, and fatigue performance that make it particularly indicated for long-term installations. Another material for cardiovascular stents are shape memory polymers (SMPs). They provide protection of small blood vessels from collapse, thanks to SME triggered by temperature change or polymer’s hydration. This review has focused on the mechanisms and properties of SMAs and SMPs as promising materials for stent application.
Random Forest Algorithm Based on GAN for Imbalanced Data Classification

Data imbalance increases the difficulty of knowledge mining from data. Aiming at the problem of data imbalanced classification, a random forest algorithm based on GAN is proposed, which can effectively classify imbalanced data sets. The GAN model is used to generate a few class samples, which are mixed with the original data samples to form a new data set to reduce the imbalance of data. Then the new data set is divided into several data subsets with a balanced sample distribution. Finally, all the decision trees are collected to form the forest and the classification results are obtained. The random forest algorithm based on GAN improves the classification effect on minority classes, which makes the equilibrium rate of the dataset reach 50%. The algorithm in this paper has performed relevant experiments on multiple imbalanced datasets, the results show that the algorithm has good performance in data imbalance classification. The optimized algorithm after parallelization improves the running speed.
Battling Drug Resistance: A Tale of Two Pathogens

Author(s): Swann, Justine | Advisor(s): Winzeler, Elizabeth; Spector, Deborah | Abstract: HIV/AIDS, malaria, and tuberculosis are the world’s three deadliest infectious diseases of humans, often referred to as the ‘Big Three’. Together, they are responsible for more than 10% of all the deaths worldwide each year. What is perhaps most worrisome is the fact that the current therapies that treat these conditions are losing their efficacy due to the emergence of antimicrobial drug resistance. Accordingly, research is urgently needed to address the growing problem of drug resistance and to help drive the development of novel therapeutics. In the first chapter of this doctoral dissertation, three strategies to combat drug resistance are discussed: 1. Developing therapeutics that target host-derived factors, 2. Identifying new antimicrobial inhibitors, and 3. Investigating host-pathogen biology using systems analysis to drive the development of novel therapeutics. Examples of research utilizing these strategies are discussed in the following chapters, with a particular focus on two of the “Big Three” pathogens- HIV-1 and the malaria parasite, Plasmodium. The identification and characterization of a novel host factor that regulates HIV-1 reverse transcription is described in Chapter 2. In Chapter 3, the development of a high-throughput phenotypic assay to identify novel antimalarial drugs is discussed, and in Chapter 4, a broad review of systems biology-based research of host-parasite interactions (with an emphasis on Plasmodium) is included. The Appendix includes preliminary data and future aims for systems biology research aimed at understanding Plasmodium liver-stage development. Through the combination of these scientific efforts, we will surely strength our position in the ongoing battle against antimicrobial drug resistance.
Cluster-based Tracking and Discovery of Target in Wireless Sensor Network

: Energy potency is one of the vital issues amongst various issues associated with wireless sensor network. For one in every of the foremost killer application like object tracking, where the object consumes more energy for continuous reporting in network. Furthermore, recovery mechanism must be run to find the target actual position just in case of object loss. In this paper, we tend to square measure proposing an energy efficient and quick recovery mechanism.
Advancing Health Equity Through Multi-Sector Collaboration

This doctoral thesis, Advancing Health Equity Through Multi-Sector Collaboration, highlights the need for multi-sector collaboration to address current health inequities. It is focused on three separate projects based in three distinct sectors, which included: local government, a primary care association, and a collaborative focused on creating partnerships and elevating data, policies and practices that promote health equity. The methods employed to better understand the difficulty of facilitating a cohesive multi-sector collaboration and achieving successful outcomes included a survey, a set of interviews, and an assessment of the literature on the effectiveness of policies and programs to improve health opportunity. Although the project goals for each organization differed, collectively they provided insights into the challenges presented when building a multi-sector collaboration, and allowed for the identification of the necessary elements that enable the success of multi-sector collaboration to advance health equity. This doctoral thesis highlights current knowledge on multi-sector collaboration in policy and in public health, delineates the goals, methods and findings based on the three projects and concludes with considerations towards achieving multi-sector collaboration to advance health equity.