Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphology and pigment content of sporophytes and gametophytes of ten fern species

The morphology and pigment contents of sporophytes and gametophytes of ten fern species were studied. In the morphological study, variations were found in stipe, texture, rachis, fronds and sori of these species. Photosynthestic pigment contents of sporophyte and gametophyte of ten species vary to a great extent. Even sporophyte and gametophyte of same species vary in pigment content. Sporophyte revealed higher chlorophyll content than gametophyte. The highest chlorophyll a and b were found in the gametophyte of Cetarach officinarum Gametophyte of Adiantum flabellatum produced maximum anthocyanin whereas minimum anthocyanin content was found in the sporophyte of Cetarach dalhousiae. The highest carotenoid content was obtained from the gametophyte of Cheilanthus albomarginata. Altitudinal variations were also found to affect morphology and pigment content of sporophytes and gametophytes of ten fern species. Introduction Pteridophytes are evolutionally, in a pivotal position between bryophytes and seed plants (Pryer et al. 2001). A characteristic that distinguishes pteridophytes from other land plants is their independent sporophyte and gametophyte generations. Gametophytes of fern live on substrate surfaces as small individual plants and have no vascular system. However, sporophytes of ferns possess a vascular system that enables them to grow more than gametophytes that results in a large herbaceous plants (Wada 2007). It has been suggested that the distribution of ferns is mostly determined by factors of climate and habitat due to relatively low limitations in ferns for dispersal and establishment (Wild and Gagnon 2005). Many species are able to change the composition of their photosynthetic apparatus to optimize photosynthesis for the light environment in which they are growing. Chlorophylls play a very important role in photosynthesis; plants have additional pigments that participate in photosynthesis. Chlorophyll a and chlorophyll b show controlled changes in adapting to various growth conditions, enabling optimal utilization of available light. It is known that the chlorophyll a to b ratio is higher in high-light growth conditions than in lowlight growth conditions. Thus the regulation of chlorophyll b synthesis is important for understanding the mechanisms of adaptation of plants to various light intensities. Other pigments that occur in plants are xanthophylls and carotenes (Taiz and Zeiger 2002). Though a lot of information is available about the photosynthesis and respiration of flowering plants but information about fern plant is meager. Hence, present project was undertaken to determine qualitative variations in the morphology of ten selected fern sporophytes belonging to same order and to measure photosynthetic pigment contents in ferns sporophytes and gametophytes. *Author for correspondence: <wellwisher.ajk@gmail.com>
PROKARYOTIC DIVERSTY OF ACID MINE DRAINAGE PONDS IN ORE ENRICHMENT PLANT

The biodiversity of acidophilic prokaryotes was determined in three AMD ponds (pH 2.7-6.5) in Turkey (Izmir-Halikoy antimony ore enrichment plant) using 16S rRNA cloning and denaturing gradient gel electrophoresis methods. Water samples were taken two times in March 2014 and June 2015. The microbial diversity identified includes species such as Acidiphilium angustum, Acidocella sp. , Ferroplasma acidiphilum, Acidithiobacillus ferriphilus, Acidithiobacillus ferrivorans, Acidiphilium rubrum, Thiomonas sp. , Acidiphilium multivorum, Acidiphilium cryptum, Ferrovum myxofaciens, Acidocella aluminiidurans with the used techniques. In addition to, it has been determined that biodiversity is variable in the operating mine pools. Aciditihobacillus ferriphilus, Acidiphilium angustum, and Acidiphilium rubrum are new records for Turkey.
Diagnosis of cardiac arrhythmia using Swarm-intelligence based Metaheuristic Techniques: A comparative analysis

INTRODUCTION: Heart diseases are the prominent human disorders that have significantly affected the lifestyle and lives of the victims. Cardiac arrhythmia (heart arrhythmia) is one of the critical heart disorders that reflects the state of heartbeat among individuals. ECG (Electrocardiogram) signals are commonly used in the diagnostic process of this cardiac disorder. OBJECTIVES: In this manuscript, an effort has been made to employ and examine the performance of emerging Swarm Intelligence (SI) techniques in finding an optimal set of features used for cardiac arrhythmia diagnosis. METHODS: A standard benchmark UCI dataset set comprises of 279 attributes and 452 instances have been considered. Five different SI-based meta-heuristic techniques viz. binary Grey-Wolf Optimizer (bGWO), Ant Lion Optimization(ALO), Butterfly optimization algorithm (BOA), Dragonfly Algorithm (DA), and Satin-Bird Optimization (SBO) have been also employed for the same. Additionally, five novel chaotic variants of SBO have been designed to solve the feature selection problem for diagnosing a cardiac arrhythmia. Different performance metrics like accuracy, fitness value, optimal set of features and execution time have been computed. CONCLUSION: It has been observed from the experimentation that in terms of accuracy and fitness value of cardiac arrhythmia, the SBO outperformed other SI algorithms viz. bGWO, DA, BOA, and ALO. Additionally, BOA and ALO seem to be the best fit when the emphasis is on dimension size only.
Effects of uroacitides on proliferation ability of breast cancer cells

AIM: To investigate the growth inhibition effects of CDA-II on breast cancer cells. METHODS: The effects of CDA-II on growth curve and morphology of breast carcinoma cell lines MCF-7 and MDA-MB-231 were observed in vitro cultures. RESULTS: CDA-II reduced the growth speed and proliferation ability. CONCLUSION: CDA-II has remarkable effects on anti-cell-proliferation and shows good prospects of application in the treatment of patients with breast carcinoma.
como vos”: An analysis of the Mby´a-Guaran´ı Practices Associated with Engineering Design

His current research investigates how the integration of the historically and culturally accumulated wealth of knowledge, skills, and practices - also known as funds of knowledge - and engineering design can serve as a pathway to and through engineering. Dr. Mejia is particularly interested in how Latinx adolescents bring forth unique ways of knowing, doing, and being that provide them with particular ways of framing, approaching, and solving engineering problems. Dr. Mejia’s primary research interests lie at the intersection of engineering education and social justice. He is particularly interested in the integration of Chicanx Cultural Studies frameworks and pedagogies in engineering education, and critical consciousness in engineering through social justice. Abstract The Mbyá-Guaraní are a group of nomadic people that have inhabited impenetrable territories in South America for centuries [1]. They are one of the groups that had the least amount of contact with the Jesuit missions of the 17 th century, thus maintaining most of their traditional ways of knowing, doing and being. To date, however, there has been little discussion about how their cultural and social practices and Indigenous knowledge have contributed to their meaning and sense-making practices related to engineering. The purpose of this study is to generate knowledge on how native engineering practices (indigenous engineering) are enacted, and use this body of knowledge to describe how non-Western ways of knowing, doing, and being also have a place in engineering discourse. This study seeks to bring together, honor, and incorporate the voices, histories, practices, and emic perspectives of indigenous communities to the engineering community, and to evaluate the knowledge/power nexus when engaging in community engagement projects with indigenous communities.
Demographic and Clinical Features of Left Atrial Tumors in South Indian Population: A Case Series

Myxomas are the most common type of primary cardiac tumor. They cause a variety of clinical manifestations depending on size and anatomical location. Sometimes, manifestations are atypical challenging differential diagnosis and the therapeutic approach. Left atrial myxomas are commonly missed clinically and often lead to grave consequences. We present here a series of 6 cases of left atrial myxomas with demographic and clinical characterization of the patients that were managed successfully.
Genetic variation of improved oil palm tenera hybrid populations using morphological and SSR markers

Genetic variation of the tenera hybrid progenies provides useful guidance to the management of appropriate breeding programs, especially those for development of high-yielding tenera varieties. Such programs involve costly and time-consuming adaptability and stability tests. In this present study, twelve F1 tenera hybrid populations derived from dura×pisifera crosses were assessed for genetic variation based on seedling morphological traits and SSR markers. According to the morphological characters evaluated, P1, P4, and P13 showed more within population variation than the others. PCA analysis indicated that the progenies with large PC1 and PC2 components exhibited potential for high productivity, and the corresponding parental dura and pisifera should be selected for further breeding. SSR analysis revealed that P1, P4, P6 and P8 were the most genetically diverse tenera hybrid populations, indicating high potential for adaptation and yield stability. Consequently, P1, P4, P6, P8 and P13 populations should be included in further breeding efforts.
SEGMENT-BASED LIDAR ODOMETRY FOR LESS STRUCTURED OUTDOOR SCENE

Abstract. Accurate registration of sparse sequential point clouds data frames acquired by a 3D light detection and ranging (LiDAR) sensor like VLP-16 is a prerequisite for the back-end optimization of general LiDAR SLAM algorithms to achieve a globally consistent map. This process is also called LiDAR odometry. Aiming to achieve lower drift and robust LiDAR odometry in less structured outdoor scene using a low-cost wheeled robot-borne laser scanning system, a segment-based sampling strategy for LiDAR odometry is proposed in this paper. Proposed method was tested in two typical less structured outdoor scenes and compared with other two state of the art methods. The results reveal that the proposed method achieves lower drift and significantly outperform the state of the art.
OTITES PARASITÁRIAS POR NEMATÓDEOS RABDITIFORMES EM BOVINOS: AVALIAÇÃO DE TRATAMENTOS

A otite parasitaria em racas como a Gir e a Indubrasil tem repercussoes economicas bastante acentuadas, e varios tratamentos tem sido utilizados, porem as recidivas sao frequentes. Avaliou-se a eficacia de dois tratamentos medicamentosos utilizando-se 45 bovinos adultos da raca Gir, divididos em tres grupos de 15 animais, portadores de otites clinicas causada por Rhabditis sp. Todos os grupos foram submetidos a limpeza do conduto auditivo externo, com solucao de eter sulfurico boricado a 3%, antes de receberem os tratamentos. O grupo-controle nao foi tratado, e fez-se a lavagem do conduto auditivo externo com solucao fisiologica. O segundo grupo recebeu o tratamento 1, uma unica aplicacao de triclorfon a 3%, dimetilsulfoxido (DMSO) a 1%, utilizando-se como veiculo a nitrofurazona pasta. O terceiro grupo foi submetido ao tratamento 2, uma solucao alcool/eter 1:1 com 2% de sulfato de cobre, tambem em unica aplicacao. Os tratamentos 1 e 2 nao alcancaram efeito desejado quando realizados em campo. PALAVRAS-CHAVE: Bovino, Gir, otite, Rhabditis sp. , tratamento.
Cardiovascular Risk in Correlation with Physical Activity Level and Body Mass Index among Adults with Type 2 Diabetes Mellitus in Ethiopia

Background: Physical inactivity has major negative health consequences throughout the lifespan and physical exercise is an important component of a comprehensive approach to chronic disease prevention and health promotion. Yet, many patients with type two Diabetes Mellitus are often overweight or obese and do not achieve recommended levels of physical activity. Objective: To assess cardiovascular risk in correlation with physical activity level and body mass index among type 2 diabetic patients in some selected hospitals in Ethiopia. Methods: Institution based cross-sectional study was conducted in Six Diabetes Clinics in major hospitals in Ethiopia. Sample size was determined using single population proportion formula. Questionnaire was used for assessment of demographic information and medical record review was also done. Anthropometric, blood pressure, and blood sugar measurements were undertaken. SPSS version 20.0 was used for statistical analysis. Results: A total of 415 (98.3%) of Type two Diabetes Mellitus patients responded to the questionnaire among whom 232 (55.9%) were men, while 183 (44.1%) were women. The age of the respondents ranged from 25 to 86 years with mean age and standard deviation of 48.88 + 11.29 year. The average estimate of total weekly physical activity was 25.39(SD=+0.117) MET. There were significant differences in the total Cholesterol F (3, 411)=6.956, P=. 000, Triglycerides f (3)=67.353, P=. 000, HDL F (3)=102.223, P=. 000, LDL F (3)=89.081, P=. 000, Systolic Blood Pressure F (3)=32.515, P=. 000, and HbA1c F (3)=969, P=. 000, between underweight, normal weight, overweight and obese participants. Conclusion: Majority of the Type two Diabetes Mellitus patients did not engage in regular physical activity. Both risk factors (physical inactivity and dyslipidemia) were highly prevalent in Type two Diabetes Mellitus patients in Ethiopia. Therefore, their risk of developing CVDs is very high.
ScholarWorks @ UTRGV ScholarWorks @ UTRGV

E-commerce enterprises use different social media channels to build their online reputation through customers’ rich interaction experiences, but no study has differentiated the individual impact of consumer-to-consumer and business-to-consumer interaction features on e-commerce online reputations. This study investigates the linkage between five interaction characteristics, consumers’ perceived values, and e-commerce online reputations. The results of our study show that only the perceived hedonic value has a significant influence on e-commerce online reputations. Perceived control, reciprocity, and responsiveness have a positive and significant influence on both perceived utilitarian value and perceived hedonic value. Sociability only shows a significant and negative influence on perceived utilitarian value. Personalization has a significant and positive influence on utilitarian value only. Perceived hedonic value mediates the influence of three interaction features (perceived control, reciprocity, and responsiveness) on both e-commerce cognitive and affective reputations. The implications of the study for research and practice are discussed.
Characterization of Slag Reprocessing Tailings-Based Geopolymers in Marine Environment

In this study, copper slag reprocessing tailings (CSRT) were synthesized into geopolymers with 40%, 50% and 60% metakaolin. The evolution of compressive strength and microstructures of CSRT-based geopolymers in a marine environment was investigated. Except for compressive strength measurement, the characterizations of X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), nuclear magnetic resonance (NMR) and scanning electron microscopy (SEM) were included. It was found that marine conditions changed the Si/Al ratio in the sodium-aluminosilicate-hydrate (N-A-S-H) gel backbone, promoted the geopolymerization process, led to more Q4(3Al), Q4(2Al) and Q4(1Al) gel formation and a higher compressive strength of the geopolymers. This provided a basis for the preparation of CSRT-based geopolymers into marine concrete.
Investigating Muslim non-consumers’ intention to use Islamic bank: perceived social value (PSV) and awareness

As a country with the largest Muslim population in the world, Indonesia has a greater market opportunity for Islamic bank than the conventional. When it compares with other Islamic countries, the market share of Islamic banks is still less appealing. This situation is certainly an interesting problem to be researched. The purpose of this study is to examine the influence of subjective norms, awareness, perceived values, attitudes, and intentions to use Islamic banks based on the Theory of Planned Behavior. This study uses quantitative approach where the data is gathered by distributing the online and offline questionnaires. In total, there are 575 respondents collected. This study finds that Muslim non-customers’ intention to use Islamic banks is strongly affected by subjective norms, awareness, and attitudes. It is also found that perceived social value (PSV) does not significantly affect intention to use Islamic banks. This study argues that using Islamic bank is not something ‘special’ to gain social acceptance or positive image in society. It is also supported by the fact that most Muslims in Indonesia do not use Islamic banks.
Autonomous control in smart buildings: A deep reinforcement learning approach

: Deep learning has redeﬁned modern standards and performance in several areas such as computer vision and natural language processing. With increasing amounts of frequently sampled data in advanced metering infrastructure, similar opportunities are readily available for smart grid actors’ optimization. In this regard, we consider the problem of remote high-granularity control with low computational power in deployment and intermittent connectivity for heating, ventilation, and air-conditioning components in smart buildings. Thereupon, we introduce an adapted autonomous multi-system command infrastructure based on deep reinforcement learning. Through several deployment safety measures, we demonstrate signiﬁcant improvements in expenses, thermal comfort, energy consumption, power peaks and equipment cycling using an adaptation of the Deep Q-Learning algorithm on case studies of physics-based simulations relying on real historical weather data. We quantify the resulting optimization and illustrate both the scalability and ﬂexibility of our approach by comparing the trained controller to its classical reactive counterparts on instances requiring simultaneous control on up to seven parallel systems.
Current trends in cloud computing

Objectives : This work reviewed the latest, state-of-the-art works in the area of Cloud Computing to help researchers, developers and stakeholders in decision-making. Method : The reviewed works are ﬁltered after the rigorous process by using renowned indexing database of ACM and IEEE along with the sub-ject based journals on Cloud Computing of international repute. These papers are further ﬁltered by selecting papers published in last 4 years only. Our initial ﬁndings lead our reviews to ﬁve major areas of Cloud Computing including Load balancing, resource scheduling, resource allocation, resource sharing, and job scheduling. In this work we have limited ourselves to only technical aspects of cloud computing while excluding areas of security, privacy and economics (for example CapEx). We have presented our ﬁndings in the form of tables and graphs showing trends in Cloud Computing towards research community on the basis of ﬁve aspects as mentioned above. Findings : Our ﬁndings show that researchers are working in the area of Job Scheduling while low attention has been given in Resource Scheduling. Moreover, an open source robust framework for research community is needed covering all the aspects shown above for running experiments. Currently these features are available in commercial and proprietary frameworks including Amazon Web Service, Microsoft Azure, and Google Cloud Platform.
Social Entrepreneurship as a Mechanism for Agro-Innovation: Evidence from Doi Tung Development Project, Thailand

Numerous attempts have been made to conceptualize social entrepreneurship in terms of Schumpeterian entrepreneurship theory and Sen’s capability approach. This paper aims to examine social entrepreneurship as a practical mechanism for facilitating technology adoption within the agro-innovation system. A study of technology adoption among participants in the Doi Tung Development Project (DTDP), a long-running social enterprise in northern Thailand, revealed significant adoption of new technologies and accompanying welfare benefits for project participants since the project’s launch in 1988. The study also identified three modalities for institutional interventions by DTDP, categorized by their primary functions in risk reduction, knowledge-provision and welfare-enhancement. The empirical findings help to affirm the significance of institutional interventions financed under the social entrepreneurship model in delivering the positive longterm welfare outcomes seen at DTDP. The study concludes that social entrepreneurship can serve as a viable and sustainable practical mechanism for facilitating agro-innovation.
A Workﬂow-oriented Language for Scalable Data Analytics

Data in digital repositories are everyday more and more massive and distributed. Therefore analyzing them requires efﬁcient data analysis techniques and scalable storage and computing platforms. Cloud computing infrastructures offer an effective support for addressing both the computational and data storage needs of big data mining and parallel knowledge discovery applications. In fact, complex data mining tasks involve data-and compute-intensive algorithms that require large and efﬁcient storage facilities together with high performance processors to get results in acceptable times. In this paper we describe a Data Mining Cloud Framework (DMCF) designed for developing and executing distributed data analytics applications as workﬂows of services. We describe also a workﬂow-oriented language, called JS4Cloud, to support the design and execution of script-based data analysis workﬂows on DMCF. We ﬁnally present a data analysis application developed with JS4Cloud, and the scalability achieved executing it on DMCF.
The inner product vector as an output-only cross-correlation-based feature to structural damage assessment

This paper presents a structural damage assessment method that relies on a cross-correlation-based damage sensitive feature known as Inner Product Vector (IPV). Such a feature is extracted from the dynamic response measured at different locations within a structure. Previous investigations on the use of the IPV in a damage detection framework were conducted through laboratory tests by manipulating the excitation source in an input-output approach. In this paper, a new output-only approach has been developed to extract the Inner Product Vector only from the structural response time histories without knowledge of the input excitation. This is a more realistic scenario in structural health monitoring applications where it is difficult (in some cases, impossible) to monitor the external forces. The new estimation of the IPV is accomplished by taking the cross-correlations between filtered contributions to the overall structural response. It is shown how the elements of the IPV are affected by changes of the structural properties induced by damage and how effective the proposed approach is in the presence of external disturbances. The proposed approach has been proven to be very effective in dealing with dense sensor networks requiring large computational efforts. Numerical and experimental tests have been performed to address the reliability of the proposed damage index as a damage sensitive feature in an output-only framework.