bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Study of Various Pharmacological Screening of Argyreia Speciosa Sweet. In Relation with Ayurvedic Documented Literature
Authors: Unadkat K P , Jani D K , Pandey R C 
Published: January 2020

Vruddhadaru is one of the important herbs in Ayurveda. It has been used in Ayurvedic traditional literature for various diseases and improves the health. It is also used as folklore medicine. Out of its entire therapeutic spectrum, the herb is famous for its wound healing activity for longer time. The Latin name of Vruddhadaru is Argyreia speciosa(Syn.-Argyreia nervosa; Family-Convolvulaceae).Argyreia speciosa is commonly known as Vruddhadaru in Sanskrit, Vidhara in Hindi, Elephant creeper in English and Samudrashosha in Gujarati. It has many synonyms like Aavegi, Chhagalantri, Vrushyagandhika etc. It has been described in Dhanvantari Nighantu, Madanpala Nighantu, Kaiyadeva Nighantu, Raj Nighantu, Bhavaprakasha Nighantu, Nighantu Adarsh etc. This shows the importance of the drug. It is usually appreciated for its aesthetic merit. Therapeutically proven activities of this plant are – analgesic & anti-inflammatory, anti-cancer, anti-convulsant, anti-diarrheal, anti-fungal, anti-microbial, anti-obesity, antipyretic, anti-stress, anti-ulcer, anti-viral, aphrodisiac, CNS effect, hepatoprotective, hypoglycaemic, immunomodulatory, nootropic, wound healing activity etc. It is very interesting to observe that most of the pharmacological screened activities are documented in Ayurveda by various authors but in the language of Ayurveda. It shows that the former scientists (Ayurveda Philosophers) are extreme aware about the activity of the herb and was in practice as an Ayurveda medicine. The conventional evidences about the activity are the proof that there must be a scientific technique with the traditional healers to document the properties of the herb. The present review explains the correlation of the same activity noted by two different streams. This review helps to design futuristic pathway for pharmacological testing of herbs.

Keywords: Vruddhadaaru, Argyreia speciosa, pharmacological screening, Ayurveda
Pemodelan IPM Di Kawasan Timur Indonesia Menggunakan Multivariate Adaptive Regression Spline (MARS)
Authors: Insany Annisa Nur , Nur’eni Nur’eni , Fajri Mohammad 
Published: January 2020

Human Development Index (HDI) is an important issue in designing and strategizing of sustainable development. Multivariate Adaptive Regression Spline (MARS) is a regression approach that produces models with continous character on knots. MARS models are determined based on trial and error for a combination of basis function (BF), maximum interaction (MI), and minimum observation (MO). The determination of knots is based on the minimum Generalized Cross Validation (GCV) value. The results of this study are the combination value of BF = 52, MI = 3, and MO = 2 with a minimum GCV of 0,00049. The factors that influence HDI are average school length (X2) per capita expenditure (X4), life expactancy (X3), persentage of poor woman aged 15-49 who use the birth control tool (X5).
Assessment of riparian environments through semi-automated procedures for the computation of eco-morphological indicators: Preliminary results of the WEQUAL project
Authors: Gallo Raimondo , Ristorto Gianluca , Bojeri Alex , Zorzi Nadia , Daglio Gabriele , Rinaldi Monica Fernanda , Sauli Giuliano , Mazzetto Fabrizio 
Published: January 2020

Summary
The aim of WEQUAL project (WEb service centre for QUALity multidimensional design and tele-operated monitoring of Green Infrastructures) is the development of a system that is able to support a quick environmental monitoring of riparian areas subjected to the realization of new green infrastructures (GI). The Wequal’s idea is to organize a service center able to manage both the Web Platform and the whole data collection and analysis processes. Through a personal account, the final user (designer, technician, researcher) can get access to the service and requires the evaluation of alternatives GI projects. On the Web Platform, a set of algorithms runs in order to calculate, through automatic procedures, all the ecological criteria required to evaluate a quality environmental index that describes the eco-morphological value of the monitored riparian areas. For this aim, the WEQUI index was developed, which uses 15 indicators that are easy to monitor. In this paper, the approach for environmental data collection and the procedures to perform the automatic assessment of two of the ecological criteria are described. For the computation, the implemented algorithms use data including the vegetation indexes, Digital Terrain Model (DTM), Digital Surface Model (DSM) and a 3D point cloud classification. All the raw data are collected by UAVs (Unmanned Aircraft Vehicle) equipped with a 3D Lidar, multispectral camera and RGB camera. Interpreting all the raw data collected by these sensors, using a multi-attribute approach, the WEQUI index is assessed. The computed ecological index is then used to assess the riparian environmental quality at ex-ante and ex-post river stabilization works. This index, integrated with additional not-technical or not-ecological indicators such as investment required, maintenance costs or social acceptance, can be used in multicriteria analyses in order to evaluate the intervention from a wider point of view. The platform is expected to be attractive for GI designers and policy makers by providing a shared environment, which is able to integrate the method of detection and evaluation of complex indexes and a multidimensional evaluation supported by an expert guide.
Blooming charge assessment in apple orchards for automatic thinning activities
Authors: Daglio Gabriele , Gallo Raimondo , Mazzetto Fabrizio 
Published: January 2020

Summary
This work aims to develop an automatic system capable of providing objective information about the bloom charge in an apple orchard in order to manage flower-thinning activities. The article presents and discusses the use of a mobile lab (ByeLab) equipped with several optical sensors to carry out a site-specific bloom charge assessment in apple trees. The data collected by the sensors were processed by a specific algorithm implemented in MatLab®. Investigations of the flower reflectance signature indicated that the Normalized Difference Vegetation Index (NDVI) is the most suitable parameter to distinguish leaves from flowers. Pure flowers produce NDVI values slightly negative or at least very near to 0. Despite the homogeneous behavior of the NDVI flower response, OptRx™ sensors, which provide an average assessment of an area, were not able to highlight a significant correlation between the number of flowers and the NDVI values. In the future, further studies will be conducted to assess if other techniques based on image analyses can provide better and more sensitive results regarding the bloom charge assessment. Such results could then be used as a reference in automating machines for thinning operations according to a site-specific approach.
Assessment of body composition in oncologic patients: Experimental survey on the role of bioimpedentiometric analysis
Authors: Gammone Maria Alessandra , Ficoneri Cristiana , D’Orazio Nicolantonio 
Published: January 2020

Abstract
Overall survival of oncologic patients is strongly influenced by the incidence of malnutrition, with subsequent loss of muscle mass until sarcopenia. In this respect, the assessment of body composition has a pivotal role in order to manage the clinical consequences of muscle loss.

Aim:
This study focuses on the body composition assessment in oncologic patients, following a diet plan in order to detect and contrast neoplastic cachexia.

Materials and Method:
35 oncologic patients were enrolled and divided into two groups: 24 responders (R) and 11 non-responders (NR). Anthropometric data were collected and body composition was assessed through bioimpedentiometry. All patients received an individualized normocaloric diet. Energetic content was assigned on the basis of individual basal metabolic rate estimated by BIA. All patients were revaluated by anthropometry and bioimpedentiometry 3 and 6 months thereafter.

Results:
Comparing the two male groups R and NR after 6 months, the former maintained almost the same confidence interval, unlike the latter whose interval increased, indicating a light worsening both of body composition and of clinical conditions. Furthermore, in the same male responder group, an improvement of the phase angle (PhA), a positive prognostic factor, was found, with an average weight loss between 2,6 – 3 kg of fat mass (FM). Besides, data show how the R female group maintained the confidence interval unlike the NR female group, whose confidence interval remarkably increased, therefore indicating an important alteration of body composition and subsequently a clinical conditions worsening. Finally, comparing the NR male group with the NR female group after 6 months, a remarkable worsening of body composition (marker of tissue decay and damage) could be noticed in the latter group.

Conclusion:
After 6 months, NR patients show worse results (both in the body composition and in the clinical conditions) compared to the responders, with particularly worse results in females, probably because of a genetically determined sex-related smaller muscle cells and inferior muscular strength. A multidimensional assessment of oncologic patient is necessary, with a special attention to nutritional evaluation and body composition monitoring, in order to avoid malnutrition and subsequent further clinical worsening.
Electrical impedance myography for assessing paraspinal muscles of patients with low back pain
Authors: Wang Yun , Freedman Laura , Buck Martin , Bohorquez Jose , Rutkove Seward B. , Keel John 
Published: January 2020

Abstract
The objective of this study was to determine the potential value of electrical impedance myography (EIM) for assessing lumbosacral paraspinal muscle (LPM) condition in lower back pain (LBP) patients. Standard methods for assessing the condition of LPMs, such as magnetic resonance imaging, are inconvenient and expensive. One tool that could be useful for this purpose is electrical impedance myography (EIM) a technique that can be performed rapidly at the bedside. After undergoing a screening history and examination, subjects were studied with the mView EIM device (Myolex, Inc, Boston). Bilateral LPMs were measured three times each and the two closest sets of measurements averaged on each side. Data analysis included non-parametric two-group comparisons between healthy subjects and back pain patients, receiver-operating curve analyses, and correlation analyses to age and body mass index. A total of 86 healthy individuals (median age (interquartile range) (IQR), 45.5 years (30.3–56.0 years), 42 men, 44 women) and 47 LBP (median age 51.0 year (39.5–57.5) years, 21 men, 26 women) were enrolled. Median EIM 100kHz phase was lower in the LBP patients (9.3°(IQR 8.4°–10.6°) versus 11.4°(IQR 9.4°–13.0°), p = 0.0007). Significantly increased normalized side-to-side differences were present for all three EIM variables (e.g., median 100 kHz phase 0.15 (IQR 0.07–0.31 in LBP patients versus 0.09 (IQR 0.04–0.17) in healthy individuals). A significant correlation between 100 kHz EIM phase and reactance was found with age (Rspearman=−0.46, P=0.0002 and Rspearman=−0.440, P=0.0003) but not for resistance. This study provides early evidence supporting that EIM has the potential to serve as a useful tool for evaluating the condition of LPMs.
KAJIAN TIMBULAN SAMPAH MAKANAN WARUNG MAKAN
Authors: Wulansari Desi , Ekayani Meti , Karlinasari Lina 
Published: January 2020

The existence of IPB with a high number of students and residents influences the development of the area. Various businesses emerged to satisfy the needs of students, one of them is warung makan. Warung makan is the one of food waste sources that comes from leftlovers. Food waste can have an impact on the environment, social and economic. This study aims to determine the amount of food waste from warung makan and to determine the efforts to reduce the food waste. This research was conducted in around the campus of IPB Darmaga. The methodology used SNI 19-3964-1994. The results show that the average of food waste warung makan was 29,413 kg/day. The food waste composition consists of rice, vegetables and side dishes with the largest component was rice about 70% of total food waste. Efforts can be made to reduce the food waste from the side of warung makan was apply the method of serving rice on a buffet basis, campaign about food waste and apply a choice of rice portions.
Keywords : food waste; food waste campaign; leftlovers; warung makan
VALUASI EKONOMI JASA LINGKUNGAN EKOSISTEM HUTAN TAMAN EDEN 100, DESA LUMBAN JULU, PARAPAT, SUMATERA UTARA
Authors: Saragih Ivany Gresya , Sudiana Mahendra Made , Sudarma I Made 
Published: January 2020

Eden 100 Forest Park is an ecotourism area that has the potential of natural resources that can be used as tourist attractions. Forest Park Eden 100 also provides environmental services such as hydrological forest services, forest services as carbon sinks, and forest services in producing timber and non-timber goods. This study aims to find out what environmental services are provided by the Eden 100 forest and to analyze the economic value of environmental services and the obstacles and challenges faced by managers in efforts to preserve forest ecosystems.
The results showed that the Eden 100 Forest Park provides environmental services in the form of direct use environmental services, namely wood production with economic value of the economic value of wood production of Rp 7,822,633,800 and non-wood (fruits) of Rp 25,500,000, non-use value directly in the form of natural landscapes (ecotourism) whose value is calculated using the travel cost method (TCM) and a yield of Rp 1,164,181,800 is obtained, non-use value in the form of existence services whose economic value is calculated using the contingent valuation method (CVM) of Rp.60,158,120 , as a carbon sink value which is calculated using the allometric method, and a yield of Rp. 18,161,220,000 is obtained. From the results of this study, it can be concluded that the total economic value of the Eden 100 Forest is Rp. 27,233,693,720. This proves that the existence of the Eden 100 forest is a very big economic benefit if its sustainability is maintained because it can absorb carbon which gives a great economic value. Efforts to manage and preserve Eden Forest Park 100 as a tourist attraction have been carried out in an integrated manner with the government, private sector and local communities, but need to be increased so that forests can provide environmental services in a sustainable manner.
O ABSENTEÍSMO DOS SERVIDORES PÚBLICOS ESTADUAIS DE SANTA CATARINA
Authors: Corrêa Paula , Oliveira Paulo Antônio Barros 
Published: January 2020

Esta pesquisa, quantitativa e de caráter ecológico, explorou um banco de dados oficial Estadual, e verificou uma série de características do perfil dos servidores públicos de Santa Catarina que se afastam do trabalho para licença de tratamento de saúde. Através dela foi possível constatar as principais causas que levam o servidor público ao absenteísmo do trabalho. Desde causas osteomusculares, que frequentemente são encontradas em estudos do gênero, até causas mentais e comportamentais que têm se apresentado cada vez mais corriqueiras no ambiente laboral. O estudo também corrobora com diversos autores citados, que tratam do absenteísmo ao trabalho com forte correlação ao adoecimento do trabalhador da área da saúde. Observa-se que há grande necessidade de haver maior entendimento destes dados visando buscar estratégias de intervenção para que o ambiente laboral do servidor público, seja visto como um universo de bem-estar, realização e evolução profissional e pessoal, e não tão somente como um meio de produção de serviços.Palavras-chave: Absenteísmo. Servidor público. Afastamentos. ABSTRACTThis quantitative and ecological research explored an official state database and was able to verify a series of characteristics in the profile of public servants in Santa Catarina who are out from work for health treatments. Because of this, it was possible to see the main causes that lead the civil servant to work absenteeism. Sometimes from musculoskeletal causes, which are often found in gender studies, others to mental and behavioral causes that have become increasingly often in the workplace environment. The study also meets with several authors cited, which deal with work absenteeism and its strong correlation to the health worker illness. It is observed that there is a wide need for greater understanding of these data in order to seek intervention strategies so that the work environment of the public servant, is seen as a universe of well-being, achievement and professional and personal evolution, and not only as a means of production or services.Keywords: Absenteeism. Public Employee. Absences.
Automated Evaluation of Hole Cleaning Efficiency While Drilling Improves Rate of Penetration
Authors: Al-Rubaii Mohammed Murif , Gajbhiye Rahul N. , Al-Yami Abdullah , Alshalan Meshari , Al-Awami Mohammed B. 
Published: January 2020

Hole cleaning of drilled hole section of planned oil or gas well is considered as a major part of optimization of rate of penetration (ROP). ROP significantly depends on hole cleaning of drilled hole section. Hole cleaning can minimize hole problems such as stuck pipe incidents, drilling cuttings accumulation, torque and drag, erratic equivalent circulating density (ECD) in annulus, wellbore instability, tight spot and hole conditions and improves well drilling performance to maximum limit of rate of penetration which depends on rig equipment as well, however, hole cleaning will help to utilize maximum output of those equipment to achieve satisfactory performance.
In addition, hole cleaning contributes effectively to optimize rig performance as well. It can optimize running time of casings, cementing and well displacement. Hole cleaning is practical more than theoretical and it requires immediate intervention for ensuring efficient hole cleaning to have optimized performance of rate of penetration. In order to achieve proper hole cleaning efficiency, it must be planned and engineered in well design. A new hole cleaning automated models or indexes were developed to monitor, optimize and alert drilling team to realize and recognize and perform an immediate intervention to optimize or control well drilling and operations performance.
Drilling parameters and fluid rheology were collected and studied to come up with efficient hole cleaning models. Collected parameters were compared with other hole cleaning models parameters and rate of penetration to assign strong, qualitative and quantitative relationships that support developed models. The hole cleaning model (or hole cleaning efficiency index) can be automated and provide general idea about hole cleaning efficiency applied in drilled hole section and optimized drilling rate. The developed models were applied in challenging hole sections and showed improvement in well drilling and operations performance. Similarly, it has shown improvement of drilling rate more than 50%.
Application of Machine-Learning to Construct Equivalent Continuum Models from High-Resolution Discrete-Fracture Models
Authors: He Xupeng , Santoso Ryan , Hoteit Hussein 
Published: January 2020

Modeling fluid flow in fractured media is of importance in many disciplines, including subsurface water management and petroleum reservoir engineering. Detailed geological characterization of a fractured reservoir is commonly described by a discrete-fracture model (DFM), in which the fractures and rock-matrix are explicitly represented by unstructured grid elements. Traditional static-based and flow-based upscaling methods used to generate equivalent-continuum models from DFM suffer from low accuracy and high computational cost, respectively. This work introduces a new deep-learning technique based on neural networks to accelerate upscaling of discrete-fracture models.
The objective of this work is to automate the process of permeability upscaling from detailed discrete-fracture characterizations. We build an "image-to-value" model to map the nonlinear relationship between high-resolution DFM images, provided as input, and the equivalent-continuum model (output), which comprises the predicted equivalent permeability of each grid-block. The proposed upscaling workflow incorporates the generation of the training datasets, design of the neural network architecture, and the validation process. The implemented deep neural networks consist of 20 layers including 18 hidden layers. Good quality input data and suitable network structure are crucial to obtaining a successful trained model. Therefore, high-resolution simulations were used to generate the training set. A training-validating process is conducted to update of training data and to optimize the network architecture until the trained model reaches an accuracy exceeding 95%.
We first verify the deep learning-based (DL-based) approach by applying it to a set of single rotating fractures with known analytical solutions. We then demonstrate it on a synthetic DFM including connected and disconnected fractures, and on a DFM from an actual outcrop. We compare the method performance to reference fully-resolved solutions and to an advanced flow-based upscaling method, referred to as a multi-boundary fracture upscaling method. In the tested cases, simulation results show that the DL-based method is computational more efficiency than the flow-based method by two orders of magnitude without significant loss of accuracy.
This work demonstrates the potential of a physics-based DL approach for the upscaling of high-resolution images of fractured media. The proposed DL approach is more accurate than the static-based upscaling methods and more efficient than the flow-based upscaling methods, and therefore, has the potential to be used to improve the computational performance of CPU-intensive upscaling methods.
Syrian Crisis in Jordan: Case Study of Hosting Community Psycho-social in Low Income areas in Amman
Authors: Anabtawi Manal Fathi 
Published: January 2020

This paper explores the influence that the Syrian crisis has on hosting community psycho-social in low income areas in Amman, Capital of Jordan. Case study was chosen as a design that would support a wider and in-depth exploration because it would be able to address the sensitivity of the issue; based on data from a qualitative study involving ten focus groups conducted from July to October 2017. Available reports and researches have investigated Syrian refugee needs and experiences, while few studies have explored the experiences of Jordanians in a hosting community, especially their psycho-social. In this paper, researcher argues that policy makers and service providers have to pay attention to hosting community experiences; especially their psycho-social. Paper concludes that Jordanians living in low income areas in Amman have been influenced by the Syrian crisis; suffering from frustration and despair, fears, anger, low self-esteem and hopelessness.
Gifted and rewarded. Belief and investigation
Authors: Al-Awaisheh Ahmed Abdul Hussein 
Published: January 2020

This Study investigates the innate grace and the obtained one. The innate grace is Allah`s endowments to those favoured by Him for reasons beyond our limited minds to comprehend. The Arabs combined the two types of grace.
The Study investigates the obtained grace which a Muslim gets through piety and good deels. Balance between the Angels and the human beings is tackled. The Companions of the Prophet (Peace be Upon Him) combined the innate grace and the obtained one.
The Study containd a set of conclusions and recommendations.