bluuebunny/crossref_metadata_2025 huggingface dataset:
Increased Cytotoxic Efficacy of Protocatechuic Acid in A549 Human Lung Cancer Delivered via Hydrophobically Modified-Chitosan Nanoparticles As an Anticancer Modality
Authors: Yee Kuen Cha , Galen Tieo , Fakurazi Sharida , Othman Siti Sarah , Masarudin Mas Jaffri
Published: August 2020

The growing incidence of global lung cancer cases against successful treatment modalities has increased the demand for the development of innovative strategies to complement conventional chemotherapy, radiation, and surgery. The substitution of chemotherapeutics by naturally occurring phenolic compounds has been touted as a promising research endeavor, as they sideline the side effects of current chemotherapy drugs. However, the therapeutic efficacy of these compounds is conventionally lower than that of chemotherapeutic agents due to their lower solubility and consequently poor intracellular uptake. Therefore, we report herein a hydrophobically modified chitosan nanoparticle (pCNP) system for the encapsulation of protocatechuic acid (PCA), a naturally occurring but poorly soluble phenolic compound, for increased efficacy and improved intracellular uptake in A549 lung cancer cells. The pCNP system was modified by the inclusion of a palmitoyl group and physico-chemically characterized to assess its particle size, Polydispersity Index (PDI) value, amine group quantification, functional group profiling, and morphological properties. The inclusion of hydrophobic palmitoyl in pCNP-PCA was found to increase the encapsulation of PCA by 54.5% compared to unmodified CNP-PCA samples whilst it only conferred a 23.4% larger particle size. The single-spherical like particles with uniformed dispersity pCNP-PCA exhibited IR bands, suggesting the successful incorporation of PCA within its core, and a hydrophobic layer was elucidated via electron micrographs. The cytotoxic efficacy was then assessed by using an MTT cytotoxicity assay towards A549 human lung cancer cell line and was compared with traditional chitosan nanoparticle system. Fascinatingly, a controlled release delivery and enhanced therapeutic efficacy were observed in pCNP-PCA compared to CNP, which is ascribed to lower IC50 values in the 72-h treatment in the pCNP system. Using the hydrophobic system, efficacy of PCA was significantly increased in 24-, 48-, and 72-h treatments compared to a single administration of the compound, and via the unmodified CNP system. Findings arising from this study exhibit the potential of using such modified nanoparticulate systems in increasing the efficacy of natural phenolic compounds by augmenting their delivery potential for better anti-cancer responses.
Illuminating a Truth: Dṛṣṭānta and Huatou
Authors: Woo Jeson
Published: August 2020

In Chan/Seon/Zen (禪, hereafter referred to as Chan) Buddhism, the gongan (公案), a word that can be literally translated as “public case”, is conceived as both the tool by which enlightenment is brought about and an expression of the enlightened mind itself. Among the diverse styles of gongan, perhaps the most puzzling is a form of its key phrase, huatou (話頭), that utilizes specific things in the world. These things are either real and empirically observable, or conversely, unreal and merely hypothetical. A typical example is the figure of the “cypress tree in the front yard”. This paper tries to demonstrate that such a huatou has a structural similarity to the dṛṣṭānta (喩), an element within the three-part syllogism of Buddhist logic, insomuch as it functions as an epistemic instrument for the disclosing of a truth.
Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve “Kózki”, Poland
Authors: Chmielewski Szymon , Bochniak Andrzej , Natapov Asya , Wężyk Piotr
Published: August 2020

Geographic object-based image analysis (GEOBIA) is a primary remote sensing tool utilized in land-cover mapping and change detection. Land-cover patches are the primary data source for landscape metrics and ecological indicator calculations; however, their application to visual landscape character (VLC) indicators was little investigated to date. To bridge the knowledge gap between GEOBIA and VLC, this paper puts forward the theoretical concept of using viewpoint as a landscape imageability indicator into the practice of a multi-temporal land-cover case study and explains how to interpret the indicator. The study extends the application of GEOBIA to visual landscape indicator calculations. In doing so, eight different remote sensing imageries are the object of GEOBIA, starting from a historical aerial photograph (1957) and CORONA declassified scene (1965) to contemporary (2018) UAV-delivered imagery. The multi-temporal GEOBIA-delivered land-cover patches are utilized to find the minimal isovist set of viewpoints and to calculate three imageability indicators: the number, density, and spacing of viewpoints. The calculated indicator values, viewpoint rank, and spatial arrangements allow us to describe the scale, direction, rate, and reasons for VLC changes over the analyzed 60 years of landscape evolution. We found that the case study nature reserve (“Kózki”, Poland) landscape imageability transformed from visually impressive openness to imageability due to the impression of several landscape rooms enclosed by forest walls. Our results provide proof that the number, rank, and spatial arrangement of viewpoints constitute landscape imageability measured with the proposed indicators. Discussing the method’s technical limitations, we believe that our findings contribute to a better understanding of land-cover change impact on visual landscape structure dynamics and further VLC indicator development.
Enhancement of Cloudless Skies Frequency over a Large Tropical Reservoir in Brazil
Authors: Gonçalves André R. , Assireu Arcilan T. , Martins Fernando R. , Casagrande Madeleine S. G. , Mattos Enrique V. , Costa Rodrigo S. , Passos Robson B. , Pereira Silvia V. , Pes Marcelo P. , Lima Francisco J. L. , Pereira Enio B.
Published: August 2020

Several studies show the effects of lake breezes on cloudiness over natural lakes and large rivers, but only few contain information regarding large flooded areas of hydroelectric dams. Most Brazilian hydropower plants have large water reservoirs that may induce significant changes in the local environment. In this work, we describe the prevailing breeze mechanism in a Brazilian tropical hydropower reservoir to assess its impacts on local cloudiness and incoming surface solar irradiation. GOES-16 visible imagery, ISCCP database products, and ground measurement sites operated by INMET and LABREN/INPE provided data for the statistical analysis. We evaluate the cloudiness frequency assuming two distinct perspectives: spatial distribution by comparing cloudiness over the water surface and areas nearby its shores, and time analysis by comparing cloudiness prior and after reservoir completion. We also evaluated the solar irradiance enhancement over the water surface compared to the border and land areas surrounding the hydropower reservoir. The results pointed out daily average cloudiness increases moving away from the reservoir in any of the four cardinal directions. When looking at the afternoon-only cloudiness (14 h to 16 h local time), 4% fewer clouds were observed over the flooded area during summer (DJF). This difference reaches 8% during autumn (MAM) and spring (SON). Consequently, the irradiance enhancement at the water surface compared to external areas was around 1.75% for daily average and 4.59% for the afternoon-only average. Our results suggest that floating solar PV power plants in hydropower reservoirs can be an excellent option to integrate both renewable energy resources into a hybrid power generation due to the high solar irradiance in Brazilian territory combined with the prevailing breeze mechanism in large tropical water reservoirs.
A Pilot Study on Remote Sensing and Citizen Science for Archaeological Prospection
Authors: Stewart Christopher , Labrèche Georges , González Daniel Lombraña
Published: August 2020

Cost-effective techniques for systematic archaeological prospection are essential to improve the efficiency of preventive archaeology and the preservation of cultural heritage. Web Mapping Services, such as Microsoft Bing Maps, provide imagery covering extensive areas at high resolution. These can, in some cases, reveal cropmarks of buried historical structures. Given that archaeological prospection is not generally the priority of most common Web Mapping Services, the conditions under which images are acquired are not always suitable for the appearance of cropmarks. Therefore, their detection is typically serendipitous. This pilot project attempts to assess the potential to use the Microsoft Bing Maps Bird’s Eye service within a crowdsourcing platform to systematically search for archaeological cropmarks in the surroundings of the city of Rome in Italy. On this platform, which is hosted by the company Scifabric (Southampton, UK) and based on PyBossa, an Open Source framework for crowdsourcing, members of the public are invited to interpret oblique air photo tiles of Bing Maps Bird’s Eye. While the project is still on-going, at least one seamless coverage of tiles in the area of interest has been interpreted. For each tile, the Bing Maps Bird’s Eye service provides oblique air photo coverage in up to four possible orientations. As of 5 July 2020, 18,765 of the total 67,014 tasks have been completed. Amongst these completed tasks, positive detections of cropmarks were recorded once for 1447 tasks, twice for 57 tasks, and three or more times for 10 tasks. While many of these detections may be erroneous, some correspond with archaeological cropmarks of buried remains of buildings, roads, aqueducts, and urban areas from the Roman period, as verified by comparison with archaeological survey data. This leads to the conclusion that the Bing Maps Bird’s Eye service contains a wealth of information useful for archaeological prospection, and that to a certain extent citizen researchers could help to mine this information. However, a more thorough analysis would need to be carried out on possible false negatives and biases related to the varying ease of interpretation of residues of different archaeological structures from multiple historical periods. This activity forms the first part of a research project on the systematic prospection of archaeological cropmarks. The ultimate aim is to reach a critical mass of training data through crowdsourcing which can be augmented and used as input to train a machine learning algorithm for automatic detection on a larger scale.
Knowledge Discovery Using Topological Analysis for Building Sensor Data
Authors: Gupta Manik , Phillips Nigel
Published: August 2020

Distributed sensor networks are at the heart of smart buildings, providing greater detail and valuable insights into their energy consumption patterns. The problem is particularly complex for older buildings retrofitted with Building Energy Management Systems (BEMS) where extracting useful knowledge from large sensor data streams without full understanding of the underlying system variables is challenging. This paper presents an application of Q-Analysis, a computationally simple topological approach for summarizing large sensor data sets and revealing useful relationships between different variables. Q-Analysis can be used to extract novel structural features called Q-vectors. The Q-vector magnitude visualizations are shown to be very effective in providing insights on macro behaviors, i.e., building floor behaviors in the present case, which are not evident from the use of unsupervised learning algorithms applied on individual terminal units. It has been shown that the building floors exhibited distinct behaviors that are dependent on the set-point distribution, but independent of the time and season of the year.
Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging
Authors: Di Nisio Attilio , Adamo Francesco , Acciani Giuseppe , Attivissimo Filippo
Published: August 2020

Xylella fastidiosa (Xf) is a well-known bacterial plant pathogen mainly transmitted by vector insects and is associated with serious diseases affecting a wide variety of plants, both wild and cultivated; it is known that over 350 plant species are prone to Xf attack. In olive trees, it causes olive quick decline syndrome (OQDS), which is currently a serious threat to the survival of hundreds of thousands of olive trees in the south of Italy and in other countries in the European Union. Controls and countermeasures are in place to limit the further spreading of the bacterium, but it is a tough war to fight mainly due to the invasiveness of the actions that can be taken against it. The most effective weapons against the spread of Xf infection in olive trees are the detection of its presence as early as possible and attacks to the development of its vector insects. In this paper, image processing of high-resolution visible and multispectral images acquired by a purposely equipped multirotor unmanned aerial vehicle (UAV) is proposed for fast detection of Xf symptoms in olive trees. Acquired images were processed using a new segmentation algorithm to recognize trees which were subsequently classified using linear discriminant analysis. Preliminary experimental results obtained by flying over olive groves in selected sites in the south of Italy are presented, demonstrating a mean Sørensen–Dice similarity coefficient of about 70% for segmentation, and 98% sensitivity and 93% precision for the classification of affected trees. The high similarity coefficient indicated that the segmentation algorithm was successful at isolating the regions of interest containing trees, while the high sensitivity and precision showed that OQDS can be detected with a low relative number of both false positives and false negatives.
A Study on CP-ABE-Based Medical Data Sharing System with Key Abuse Prevention and Verifiable Outsourcing in the IoMT Environment
Authors: Hwang Yong-Woon , Lee Im-Yeong
Published: August 2020

Recent developments in cloud computing allow data to be securely shared between users. This can be used to improve the quality of life of patients and medical staff in the Internet of Medical Things (IoMT) environment. However, in the IoMT cloud environment, there are various security threats to the patient’s medical data. As a result, security features such as encryption of collected data and access control by legitimate users are essential. Many studies have been conducted on access control techniques using ciphertext-policy attribute-based encryption (CP-ABE), a form of attribute-based encryption, among various security technologies and studies are underway to apply them to the medical field. However, several problems persist. First, as the secret key does not identify the user, the user may maliciously distribute the secret key and such users cannot be tracked. Second, Attribute-Based Encryption (ABE) increases the size of the ciphertext depending on the number of attributes specified. This wastes cloud storage, and computational times are high when users decrypt. Such users must employ outsourcing servers. Third, a verification process is needed to prove that the results computed on the outsourcing server are properly computed. This paper focuses on the IoMT environment for a study of a CP-ABE-based medical data sharing system with key abuse prevention and verifiable outsourcing in a cloud environment. The proposed scheme can protect the privacy of user data stored in a cloud environment in the IoMT field, and if there is a problem with the secret key delegated by the user, it can trace a user who first delegated the key. This can prevent the key abuse problem. In addition, this scheme reduces the user’s burden when decoding ciphertext and calculates accurate results through a server that supports constant-sized ciphertext output and verifiable outsourcing technology. The goal of this paper is to propose a system that enables patients and medical staff to share medical data safely and efficiently in an IoMT environment.
Organic Farming and Climate Change: The Need for Innovation
Authors: Clark Sean
Published: August 2020

Organic agriculture has experienced remarkable growth in recent decades as societal interest in environmental protection and healthy eating has increased. Research has shown that relative to conventional agriculture, organic farming is more efficient in its use of non-renewable energy, maintains or improves soil quality, and has less of a detrimental effect on water quality and biodiversity. Studies have had more mixed findings, however, when examining the impact of organic farming on greenhouse gas (GHG) emissions and climate change. Life cycle assessments (LCAs) in particular have indicated that organic farming can often result in higher GHG emissions per unit product as a result of lower yields. The organic movement has the opportunity to embrace the science of LCA and use this information in developing tools for site-specific assessments that can point toward strategies for improvements. Responding effectively to the climate change crisis should be at the core of the organic movement’s values. Additionally, while societal-level behavioral and policy changes will be required to reduce waste and shift diets to achieve essential reductions in GHG emissions throughout food systems, organic farming should be open to seriously considering emerging technologies and methods to improve its performance and reduce GHG emissions at the production stage.
Characterization of Gypsum Composites Containing Cigarette Butt Waste for Building Applications
Authors: Morales-Segura Mónica , Porras-Amores César , Villoria-Sáez Paola , Caballol-Bartolomé David
Published: August 2020

Cigarette butts are one of the most common waste on the planet and are not biodegradable, so they remain on the landscape for many years. Cigarette butt composition makes it suitable to be added during the manufacture of construction materials, so it can be considered a waste recovery material, helping to reduce the ecological footprint of the construction sector. This article shows the characterization of gypsum composites containing cigarette butt waste. Several gypsum specimens were prepared incorporating different percentages of cigarette butt waste (0.5%, 1.0%, 1.5%, 2.0% and 2.5%). Samples without waste additions were also prepared in order to compare the results obtained. Samples were tested for density, superficial hardness, flexural and compressive strength, bonding strength and acoustic performance. Results show that it is possible to add cigarette butts in a gypsum matrix, resulting in better mechanical behavior than traditional gypsums.
Prediction of Fuel Loading Following Mastication Treatments in Forest Stands in North Idaho, USA
Authors: Becker Ryer , Keefe Robert
Published: August 2020

Fuel reduction in forests is a high management priority in the western United States and mechanical mastication treatments are implemented common to achieve that goal. However, quantifying post-treatment fuel loading for use in fire behavior modeling to forecast treatment effectiveness is difficult due to the high cost and labor requirements of field sampling methods and high variability in resultant fuel loading within stands after treatment. We evaluated whether pre-treatment LiDAR-derived stand forest characteristics at 20 m × 20 m resolution could be used to predict post-treatment surface fuel loading following mastication. Plot-based destructive sampling was performed immediately following mastication at three stands in the Nez Perce Clearwater National Forest, Idaho, USA, to correlate post-treatment surface fuel loads and characteristics with pre-treatment LiDAR-derived forest metrics, specifically trees per hectare (TPH) and stand density index (SDI). Surface fuel loads measured in the stand post-treatment were consistent with those reported in previous studies. A significant relationship was found between the pre-treatment SDI and total resultant fuel loading (p = 0.0477), though not between TPH and fuel loading (p = 0.0527). SDI may more accurately predict post-treatment fuel loads by accounting for both tree number per unit area and stem size, while trees per hectare alone does not account for variations of tree size and subsequent volume within a stand. Relatively large root-mean-square errors associated with the random forest models for SDI (36%) and TPH (46%) suggest that increased sampling intensity and modified methods that better account for fine spatial variability in fuels resulting from within-stand conditions, treatment prescriptions and machine operators may be needed. Use of LiDAR to predict fuel loading after mastication is a useful approach for managers to understand the efficacy of fuel reduction treatments by providing information that may be helpful for determining areas where treatments can be most beneficial.
Quality Child–Parent Relationships and Their Impact on Intergenerational Learning and Multiplier Effects in Climate Change Education. Are We Bridging the Knowledge–Action Gap?
Authors: Parth Sandra , Schickl Maximilian , Keller Lars , Stoetter Johann
Published: August 2020

The science–education cooperative venture “Our Common Future: ‘eKidZ’—Teach Your Parents Well” explores intergenerational learning processes and the transfer of learning from the younger to the older generation. Students acting as multipliers and their multiplication effect on parents is part of the research setting: 20 high school students, in the role of researchers, investigated the question of whether children who participate in the Climate Change Education (CCE) program “k.i.d.Z.21” passed on their climate-change-related knowledge, attitudes and actions to their parents (n = 91), in comparison to a control group (n = 87). Due to the annual increase in student participants in the CCE project “k.i.d.Z.21” since 2012 (n = 2000), this article can build on the results of a questionnaire regarding the school year 2017/18 (n = 100–120). A Multivariate Analysis of Variance (MANOVA) showed that the “k.i.d.Z.21” project has a multi-faceted knock-on effect on parents, constituting a multiplier effect: increasing knowledge, and, above all, improvements to the child–parent relationship. Additionally, measurable positive effects in the frequency and quality of climate change communication between children and their parents have been observed (Spearman Rank Correlations), but a distinct lack of positive effects regarding changing climate-friendly attitudes or actions have been noted (Pearson Product–Moment Correlation). The importance of the child–parent relationship is a key factor in bridging the knowledge–action gap, and is reviewed in the context of CCE.
Deep-Learning Steganalysis for Removing Document Images on the Basis of Geometric Median Pruning
Authors: Zhong Shangping , Weng Wude , Chen Kaizhi , Lai Jianhua
Published: August 2020

The deep-learning steganography of current hotspots can conceal an image secret message in a cover image of the same size. While the steganography secret message is primarily removed via active steganalysis. The document image as the secret message in deep-learning steganography can deliver a considerable amount of effective information in a secret communication process. This study builds and implements deep-learning steganography removal models of document image secret messages based on the idea of adversarial perturbation removal: feed-forward denoising convolutional neural networks (DnCNN) and high-level representation guided denoiser (HGD). Further—considering the large computation cost and storage overheads of the above model—we use the document image-quality assessment (DIQA) as threshold, calculate the importance of filters using geometric median and prune redundant filters as extensively as possible through the overall iterative pruning and artificial bee colony (ABC) automatic pruning algorithms to reduce the size of the network structure of the existing vast and over-parameterized deep-learning steganography removal model, while maintaining the good removal effects of the model in the pruning process. Experiment results showed that the model generated by this method has better adaptability and scalability. Compared with the original deep-learning steganography removal model without pruning in this paper, the classic indicators params and flops are reduced by more than 75%.
Note on the Hurwitz–Lerch Zeta Function of Two Variables
Authors: Choi Junesang , Şahin Recep , Yağcı Oğuz , Kim Dojin
Published: August 2020

A number of generalized Hurwitz–Lerch zeta functions have been presented and investigated. In this study, by choosing a known extended Hurwitz–Lerch zeta function of two variables, which has been very recently presented, in a systematic way, we propose to establish certain formulas and representations for this extended Hurwitz–Lerch zeta function such as integral representations, generating functions, derivative formulas and recurrence relations. We also point out that the results presented here can be reduced to yield corresponding results for several less generalized Hurwitz–Lerch zeta functions than the extended Hurwitz–Lerch zeta function considered here. For further investigation, among possibly various more generalized Hurwitz–Lerch zeta functions than the one considered here, two more generalized settings are provided.
Performance and Outcomes of Routine Viral Load Testing in People Living with HIV Newly Initiating ART in the Integrated HIV Care Program in Myanmar between January 2016 and December 2017
Authors: Ya Sai Soe Thu , Harries Anthony D. , Wai Khin Thet , Kyaw Nang Thu Thu , Aung Thet Ko , Moe July , Htun Thurain , Shin Htet Naing , Aye Mar Mar , Oo Htun Nyunt
Published: August 2020

Myanmar has introduced routine viral load (VL) testing for people living with HIV (PLHIV) starting first-line antiretroviral therapy (ART). The first VL test was initially scheduled at 12-months and one year later this changed to 6-months. Using routinely collected secondary data, we assessed program performance of routine VL testing at 12-months and 6-months in PLHIV starting ART in the Integrated HIV-Care Program, Myanmar, from January 2016 to December 2017. There were 7153 PLHIV scheduled for VL testing at 12-months and 1976 scheduled for VL testing at 6-months. Among those eligible for testing, the first VL test was performed in 3476 (51%) of the 12-month cohort and 952 (50%) of the 6-month cohort. In the 12-month cohort, 10% had VL > 1000 copies/mL, 79% had repeat VL tests, 42% had repeat VL > 1000 copies/mL (virologic failure) and 85% were switched to second-line ART. In the 6-month cohort, 11% had VL > 1000 copies/mL, 83% had repeat VL tests, 26% had repeat VL > 1000 copies/mL (virologic failure) and 39% were switched to second-line ART. In conclusion, half of PLHIV initiated on ART had VL testing as scheduled at 12-months or 6-months, but fewer PLHIV in the 6-month cohort were diagnosed with virologic failure and switched to second-line ART. Programmatic implications are discussed.
Regional Densities of Cooperation: Are There Measurable Effects on Regional Development?
Authors: Diller Christian , Nischwitz Guido , Kohl Martin , Chojnowski Patrick
Published: August 2020

Almost three decades ago, a paradigm change in funding policies for rural regions became effective in Europe and Germany, involving a move towards cooperative, actor-oriented regional development. However, little research has been published on the extent to which funding approaches intended to activate cooperation have led to regional-economic effects in the regions. This paper presents a countrywide statistical evaluation of the link between the deployment of funding programmes and established regional development indicators. The investigation is based on the analysis of 27 funding programmes, pilot projects and competitions from five policy fields, covering the period from 1991 to 2016. Its analyses are founded on the largest database of regional-development programmes implemented in Germany and the first attempt to detect cumulative effects of a large number of programmes over a long period. Further research in this direction should first gather detailed information on the scope of funding programmes in the regions.
Land Use and Water Quality
Authors: Kronvang Brian , Wendland Frank , Kovar Karel , Fraters Dico
Published: August 2020

The interaction between land use and water quality is of great importance worldwide as agriculture has been proven to exert a huge pressure on the quality of groundwater and surface waters due to excess losses of nutrients (nitrogen and phosphorous) through leaching and erosion processes. These losses result in, inter alia, high nitrate concentrations in groundwater and eutrophication of rivers, lakes and coastal waters. Combatting especially non-point losses of nutrients has been a hot topic for river basin managers worldwide, and new important mitigation measures to reduce the input of nutrients into groundwater and surface waters at the pollution source have been developed and implemented in many countries. This Special Issue of the Land use and Water Quality conference series (LuWQ) includes a total of 11 papers covering topics such as: (i) nitrogen surplus; (ii) protection of groundwater from pollution; (iii) nutrient sources of pollution and dynamics in catchments and (iv) new technologies for monitoring, mapping and analysing water quality.
Improving the transparency of financial support for healthcare in the Russian Federation
Authors: Balynin Igor , Terekhova Tatyana
Published: August 2020

The article considers the problem of ensuring transparency of financial provision of healthcare in the Russian Federation. Based on the results of the study, based on the official data of the Federal Treasury on budget execution of the budget system of the Russian Federation, a conclusion was drawn on the significance of this area. At the same time, insufficient attention was paid to the problem of transparency of budget expenditures for financial support of healthcare, which can be solved by the recommendations proposed by the authors. This will also have a positive impact on improving the quality of communication between public authorities and local authorities with the population.
Analysis of the conditions of self-sufficiency of the region with meat products (on the example of the Samara Region)
Authors: Kagirova Maria , Malina Alia
Published: August 2020

The current conditions of international cooperation on export-import policy and the development of the country’s domestic economy require special attention to ensuring food security, especially in relation to animal breeding products, which occupy a significant share in the volume of imports in the Russian Federation. The high degree of differentiation of regions in terms of the development of agricultural production due to differences in climatic conditions and historically determined sectoral characteristics of production are the basis of the relevance of a close study of the conditions and development potential of beef cattle breeding at the regional level. This paper contains a statistical analysis of the conditions for ensuring food security in the Samara Region as a territory that has a high resource potential for livestock breeding, but does not fully realize it, turning into an import-dependent market. Based on the application of the grouping method, analysis of time series, and correlation analysis, the region features, livestock production trend are identified, the main factors affecting the food independence of the region are established.
Aproximación Metodológica de la Extensión Universitaria desde una Perspectiva de Desarrollo Local
Authors: Sánchez Manzano Marta , Rodríguez Sánchez María Del Carmen , Montoya Cabado Juan
Published: August 2020

La situación epocal actual se caracteriza, entre otros aspectos, por una recomposición cultural que entraña marginación social, incertidumbre, poca credibilidad de los sistemas valorativos y en consonancia la necesidad de profundizar en los actuales procesos de integración de nuestras comunidades como mecanismo idóneo para perpetuar nuestras identidades. El trabajo se sustenta en la necesidad de sistematizar los principales, referentes teóricos, metodológicos y conceptuales que han de coadyuvar a la articulación de la integración universitaria desde la extensión.
Indicadores para Evaluar Procesos Formativos
Authors: Pérez Alcolea Sandra , López Azahares Hermes , Guillén Pérez Lianne
Published: August 2020

Los procesos formativos constituyen un proceso social y cultural de prioridad en la educación intencionalmente orientada a adquirir conocimientos y modos de actuación, a formar cualidades y valores en el individuo que respondan al proyecto de sociedad que se construye, evaluar su comportamiento es esencial en el perfeccionamiento de la sociedad que aspira alcanzar individuos altamente calificados y con sentido de responsabilidad social. Evaluar el proceso formativo constituye vía para generar mayores niveles de transformación en la institución y formación profesional. El objetivo del trabajo se ubica en la necesidad de aportar indicadores que permitan desarrollar la evaluación de procesos formativos con énfasis en la educación en valores a través de los proyectos educativos en las carreras universitarias.
La Eficacia de una Plataforma Virtual como Recurso en la Enseñanza de la Lengua Extranjera en la Carrera de Arquitectura de la Universidad de Guayaquil
Authors: Mendoza Cobeña Rosy Mercedes , Maya Montalván Jeimi Patricia
Published: August 2020

Este estudio fue dirigido para determinar cómo los estudiantes podrían mejorar las habilidades del idioma, de una manera interactiva por medio del uso de una plataforma virtual e identificar qué impacto positivo traería este recurso tecnológico en el desenvolvimiento y motivación de los estudiantes. Resultados realizados en diferentes instituciones educativas en las cuales se aplicaron esta herramienta innovadora revelaron un significativo efecto en el aprendizaje de un segundo idioma. Se demuestra el potencial de un aprendizaje colaborativo y experimental del idioma inglés de una manera fácil y práctica, obteniéndose un vocabulario técnico necesario para conocer en sus carreras cuando busquen información para sus futuros proyectos.
Second Trimester Dilation & Evacuation in a Patient with Uterus Didelphys
Authors: Glatthorn Haley , Matthews Glenmarie
Published: August 2020

Uterus didelphysis one of the rarest of the Mullerian duct anomalies and can lead to unique obstetric and gynecologic outcomes and considerations. This case describes a patient with known uterus didelphys and intact longitudinal vaginal septum who desired termination of pregnancy at 17 weeks gestation due to fetal anomaly. She underwent dilation and evacuation (D&E) under ultrasound guidance and the pregnancy was removed from the right-sided uterus. Preoperative mifepristone and misoprostol were used for cervical ripening.This case demonstrates that second trimester D&E can be safely performed on patients with uterus didelphys and is aided by the adjunctive use of prostaglandins, mifepristone, and ultrasound guidance to avoid intraoperative complications.
Compressible Flow Analysis through Spreadsheet
Authors: Gill Bhupinder Singh
Published: August 2020

The compressible flow analysis is traditionally done by referring to tables where various ratios are listed for various values of Mach number M. Here a different approach is presented which does not require any reference to any tables and the problems can be solved much more comprehensibly and which gives more accurate values.
Skrining Fitokimia dan Aktivitas Antidiabetes dalam Ekstrak Daun Nasi (Phrynium capitatum)
Authors: Obet Obet , Rorong Johnly A. , Fatimah Feti
Published: August 2020

Research about phytochemical screening and antidiabetic activity inside rice leaf extract (phrynium

capitatum) had been conducted. Objective of this research was to find phytochemical and antidiabetic activity

inside rice leaf extract. Research Methodology used for phytochemical screening was testting of alkaloids,

phenolics, flavonoids, saponins, steroids and triterpenoids. While antidiabetic activity testing was carried out on

white rats induced by alloxan treatment. Based on phytochemical screening tests of rice leaf extract,

components obtained are alkaloid compounds, flavonoids, phenolics and steroids. The results of testing the

antidiabetic activity of rice leaf extract in alloxan induced mice by administering 100% rice leaf extract; 200 and

300 mg / kg body weight of rats had a percent decrease in blood sugar concentration, respectively 29.01; 34.07

and 42.03%. The most effective group providing antidibetic effect is the treatment group III (300 mg / kg body

weight of rats) when compared to the treatment group I (100 mg / kg body weight of rats) and treatment group

II (200 mg / kg body weight of rats).
Media Edukasi Tanda Bahaya Kehamilan Berbasis Android Untuk Meningkatkan Pengetahuan Ibu Hamil
Authors: Sayekti Wahyu Nindi , Syafruddin Syarif  , Ahmad Mardiana , Etty Nurkhayati  , Siti Suciati
Published: August 2020

Education during Antenatal Care (ANC) visits about pregnancy danger signs is important, because it can increase the awareness of pregnant women about pregnancy danger signs so that they quickly and accurately seek health care that will reduce the occurrence of complications. This study aims to produce education products based on android pregnancy danger signals. This study used a Research and Development (R&D) research design method developed by Borg and Gall. The sample in this study was 30 pregnant women using incidental sampling techniques at the Antang Public Health Center, Perumnas Makassar. The statistical test used  Wilcoxon Signed Rank Test. Application evaluation was done by using the Technology Acceptance Model (TAM) questionnaire to assess the level of application usability. The results showed that the application was received very well by pregnant women so that the development of health education media about Android-based pregnancy danger signs could increase the knowledge of pregnant women about pregnancy danger signs.

 

Keywords: Education Media Pregnancy Signs, Android, Knowledge of Pregnant Women.

ABSTRAK

 

Edukasi selama kunjungan Antenatal Care (ANC) tentang tanda bahaya kehamilan penting dilakukan, karena dapat meningkatkan kesadaran ibu hamil terhadap tanda bahaya kehamilan sehingga secara cepat dan tepat mencari perawatan kesehatan yang akan mengurangi terjadinya komplikasi. Penelitian ini bertujuan menghasilkan produk media edukasi tanda bahaya kehamilan berbasis android. Penelitian ini menggunakan desain penelitian metode Research and Development (R & D) yang dikembangkan oleh Borg and Gall. Sampel pada penelitian ini adalah 30 ibu hamil dengan menggunakan teknik sampling incidental di Puskesmas Antang Perumnas Makassar. uji statistik yang digunakan adalah Wilcoxon Signed Rank Test. Penilaian aplikasi dilakukan dengan menggunakan kuisioner Technology Acceptance Model (TAM) untuk menilai tingkat kegunaan aplikasi. Hasil penelitian menunjukkan bahwa aplikasi diterima sangat baik oleh ibu hamil sehingga pengembangan media edukasi kesehatan tentang tanda bahaya kehamilan berbasis android dapat meningkatkan pengetahuan ibu hamil tentang tanda bahaya kehamilan.

 

Kata kunci : Media Edukasi Tanda Bahaya Kehamilan, Android, Pengetahuan Ibu Hamil.
Pengembangan Modul Deteksi Risiko Stunting Terhadap Pengetahuan Ibu Hamil
Authors: Musdalifah  , Manapa Esther Sanda , Ahmad Mardiana , Nontji Werna , Deviana Soraya Riu  , Hidayanti Healthy
Published: August 2020

Stunting is a nutritional problem that affects only in terms of health but affects intelligence One strategy to overcome stunting is nutrition in pregnant women to increase knowledge in the First 1000 Days of Life by providing education for pregnant women. The purpose of this research was to develop educational media products in the form of modules to support the risk of stunting intended for pregnant women. Research development at the Borg & Gell development research stage. The initial stage begins with a FGD and a preliminary study, then a module feasibility test and a small sample user trial are carried out, followed by a study using a Quasi Experiment (pre-test post-test design). 30 pregnant women domiciled in the working area of ​​the Cangadi Community Health Center were sampled with a purposive sampling technique. The results showed that respondents gained 82.5% increased knowledge. This agreed that the module developed could increase the knowledge of pregnant women.

 

Keywords: Stunting, Development Module, Stunting Risk Detection, knowledge of pregnant women.

ABSTRAK

 

Stunting merupakan masalah gizi kronis yang berdampak tidak hanya pada segi kesehatan tapi mempengaruhi kecerdasan  Salah satu strategi untuk mengatasi stunting yakni intervensi gizi pada ibu hamil untuk meningkatkan pengetahuan pada 1000 Hari Pertama Kehidupan dengan pemberian edukasi kepada ibu hamil. Penelitian ini bertujuan menghasilkan produk media edukasi berbentuk modul untuk mendeteksi risiko stunting yang diperuntukkan bagi ibu hamil. Penelitain pengembangan  mengacu pada tahapan  penelitian pengembangan Borg & Gell. Tahap awal diawali dengan FGD dan studi pendahuluan, selanjutnya dilakukan uji kelayakan modul dan uji coba pengguna sampel kecil, lalu dilanjutkan dengan penelitian yang menggunakan Quasi Eksperimen (Pre–test post–test design). 30 orang ibu hamil yang berdomisili di wilayah kerja Puskesmas Cangadi dijadikan sampel dengan teknik purposive sampling. Hasil penelitian menunjukkan bahwa mayoritas responden yakni 82.5% mengalami peningkatan pengetahuan hal ini menyatakan bahwa modul yang dikembangkan dapat meningkatkan pengetahuan ibu hamil.

 

Kata kunci: Stunting, Pengembangan Modul, Deteksi Risiko stunting, pengetahuan ibu hamil.
Pengaruh Modul Deteksi Risiko Anemia pada Kehamilan terhadap Pengetahuan Ibu Hamil
Authors: Arnianti  , Manapa Esther Sanda , Ahmad Mardiana , Deviana Soraya Riu  , Nontji Werna , Hidayanti Healthy
Published: August 2020

Anemia is one of the most common public health problems globally. The purpose of this study was to determine the effect of anemia risk detection modules in pregnancy on the knowledge of pregnant women. The research design is pre experiment with one group pre-post test design. This research was conducted at Pacongkang Health Center, Soppeng Regency, South Sulawesi. The research group was given an intervention giving modules as an educational medium about detecting the risk of anemia in pregnancy. A sample of 30 respondents who met the inclusion criteria was based on a purposive sampling technique. The research instrument was a module and a questionnaire, the research results were analyzed using the Wilcoxon test. The results showed that the knowledge of pregnant women before the intervention module was given to detect the risk of anemia in pregnancy (58%) and after the intervention increased (85%). After the Wilcoxon signed rank test was obtained p-value 0.000 (p <0.05), it was concluded that there was an influence of anemia risk detection module in pregnancy on increasing knowledge of pregnant women.

 

Keywords: Anemia risk detection module, Knowledge, Pregnant Women

ABSTRAK

 

Anemia merupakan salah satu masalah kesehatan masyarakat yang paling umum secara global. Tujuan penelitian ini adalah untuk mengetahui pengaruh modul deteksi risiko anemia pada kehamilan terhadap pengetahuan ibu hamil. Desain penelitian yaitu pre eksperiment dengan one group pre-post test design. Penelitian ini dilakukan di Puskesmas Pacongkang Kabupaten Soppeng Sulawesi Selatan. Kelompok penelitian diberikan intervensi pemberian modul sebagai media edukasi tentang deteksi risiko anemia pada kehamilan. Sampel sebanyak 30 responden yang memenuhi kriteria inklusi berdasarkan teknik sampling purposive sampling. Instrumen penelitian adalah modul dan kuesioner, hasil penelitian dianalisis menggunakan uji Wilcoxon. Hasil penelitian menunjukkan bahwa pengetahuan ibu hamil sebelum diberikan intervensi modul deteksi risiko anemia pada kehamilan sebesar (58%) dan setelah intervensi meningkat (85%). Setelah dilakukan uji Wilcoxon signed rank test didapatkan p-value 0.000 (p < 0.05), disimpulkan bahwa ada pengaruh modul deteksi risiko anemia pada kehamilan terhadap peningkatan pengetahuan ibu hamil.

 

Kata kunci: Modul deteksi risiko anemia, Pengetahuan, Ibu Hamil
IN RETROSPECT - THE FIFTY YEARS OF THE ROLLING THUNDER OPERATION: THE US AIR ATTACKS AND THE DEFENSE OF NORTH VIETNAM 1965-1968
Authors: De Araújo Johny Santana
Published: August 2020

In 1965, President Lyndon Johnson sent the first US military contingents to South Vietnam and launched a major bombing campaign in North Vietnam called the Rolling Thunder. This article discusses the reaction of North Vietnam with its defensive system to attacks, using MiG-17 and MiG-21 airplanes, how it made the most of its skills and equipment and how it overcame adversity, its own limitations and immense North American airpower.
ESTUDIANTES E IZQUIERDAS. REFLEXIONES SOBRE LOS FONDOS PERSONALES DE LA REFORMA UNIVERSITARIA
Authors: Bustelo Natalia , Sik María Eugenia
Published: August 2020

El artículo se inscribe en el cruce entre historia y archivística que viene impulsando el Centro de Documentación e Investigación de la Cultura de Izquierdas (CeDInCI, Buenos Aires, Argentina). Comienza por reconstruir las problemáticas teóricas y metodológicas ligadas a un tipo particular de archivos: los fondos personales. Luego se detiene en las características de los documentos relativos a la Reforma Universitaria, esto es, al movimiento estudiantil que estalló en Córdoba, Argentina, en 1918 y se expandió en las décadas siguientes por el continente latinoamericano. Finalmente, a partir del análisis de algunos documentos reflexiona sobre el valor histórico y patrimonial que portan los fondos producidos por los animadores argentinos de la Reforma.
Analisis Pengolahan Air Asam Tambang pada Media Tandan Sawit dan Kompos dengan Sistem Anaerobic Wetland Aliran Bawah Permukaan di PT. Berau Coal
Authors: Nugraha Firman Aziz , Kirmi Hifzil , Haryanto Bambang
Published: August 2020

Dampak yang timbul dari kegiatan pertambangan sistem terbuka yakni munculnya air asam tambang (AAT). Pembentukan air asam tambang dipengaruhi oleh tiga faktor utama yaitu air, udara dan material yang mengadung mineral-mineral sulfida, hal tersebut menyebabkan pH air menjadi rendah dan juga memiliki kandungan logam besi (Fe) serta mangan (Fe) yang tinggi. Oleh karena itu perlu dilakukan pengolahan terhadap air asam tambang sebelum dapat dibuang ke lingkungan. Di sekitar lokasi PT Berau Coal, Kab berau, Kalimantan timur terdapat beberapa jenis limbah organik, salah satunya yakni tandan kosong sawit. Ketersediaan tandan sawit yang melimpah sehingga menjadi bahan yang sangat potensial untuk digunakan sebagai media passive treatment. Penelitian ini memiliki tujuan untuk mengetahui kemampuan komposisi media tandan sawit dan kompos untuk meningkatkan kualiatas air asam tambang WMP 36 site sambarata. Metode penelitian ini menggunakan sistem anaerobic wetland menggunakan tanaman Typha latifolia dengan media variasi tandan sawit dan kompos (25:75; 50:50; 75:25; 100;0). Hasil penelitian menunjukan bahwa variasi kompos dan tandan sawit mampu meningkatkan nilai pH pada waktu tinggal 1 hari dengan rentang 6.42 hingga 7.70, dinamika kenaikan nilai TSS, Fe dan Mn berkaitan dengan komponen yang ada dalam sistem seperti karakteristik kompos dan tandan sawit, mikroorganisme, tanaman serta faktor fisik seperti sedimentasi dan filtrasi.