bluuebunny/crossref_metadata_2025 huggingface dataset:
Consequences of illegal electricity connections at Quarry Road Informal Settlement
Authors:   , Geyevu Mawuena
Published: April 2023

Crime statistics in South Africa seem to increase every year. Illegal electricity connection is considered a crime and a punishable offence. Crime can be caused by different aspects, e.g. poverty, drug abuse and alcohol abuse. Unemployment seems to be the leading cause of crime which seem may indirectly lead to poverty unemployment rate has gone up and people are looking for alternative solutions to support themselves and their families. Unemployment is one of the reason stated by people who illegally connect electricity. The illegal connection of electricity can be categorized into two groups. The first group is the people that utilize illegally connected electricity because they claim not to afford to pay for it. The second group is the group of people who illegally connect electricity as a form of employment and illegally connect electricity for community members for a specific amount of money as remuneration. This cannot be stopped by the numerous awareness programmes made and the arrest. People are fully aware that what they are doing is wrong and have dire consequences but they keep doing it. The study investigated illegal electricity connections in Quarry Informal Settlements using the qualitative approach. Qualitative methodology relies on collecting first hand data and live experiences of participants. Qualitative research methodology will be fitting for this research as it will assist in providing insight into the research objective. The researcher applied semi-structure interviews to collect data with a sample size of 15 participants from Quarry Informal Settlements. The main objective of this study was to explore the consequences of illegal electricity connections in informal settlements focusing on Quarry Informal Settlement. Illegal electricity connections are lethal and the residents of Quarry Informal Settlements are aware of these consequences yet they seem to have no other alternatives to connecting electricity and no intervention from the municipality. Findings of this study also revealed that connecting electricity in Quarry Road Informal Settlement has since become a norm. It has since become an acceptable act to connect electricity illegally. A minority bought their houses with an already installed illegal connection while most have become accustomed to this act. The researcher has gathered some recommendations that can help in easing up these illegal connections especially in informal settlements as well as strategies municipalities can adopt.
Rockfall monitoring with a Doppler radar on an active rock slide complex in Brienz/Brinzauls (Switzerland)
Authors: Schneider Marius , Oestreicher Nicolas , Loew Simon
Published: April 2023

Abstract. We present and analyze a rockfall catalog from an active landslide complex in Brienz/Brinzauls of the Swiss Alps, collected with a new Doppler radar system. This radar system provides a complete and continuous time-series of rockfall events with volumes of 1m3 and bigger since 2018 and serves as automatic traffic control for an important cantonal road. In the period between January 2018 and September 2022, 6743 events were detected, which is two orders of magnitude higher activity than in stable continental cliffs. A few percent of all rockfall events reached the shadow zone, which hosts an important road and agricultural area. The Doppler radar data set allows us to investigate the triggering factors quantitatively. We found that the background rockfall activity is controlled by seasonal climatic triggers. In winter, more rockfalls are observed during thawing periods, whereas in summer the rockfall activity increases with hourly rainfall intensity. We also found that due to the geological setting in an active landslide complex, increased rockfall activity occurs clustered in space and time, triggered by local displacement hotspots. Thus, monitoring spatial and temporal variations of slope displacement velocity is crucial for detailed rockfall hazard assessment in similar geological settings.
INVESTIGATION OF GREEN SPACE COOLING POTENTIAL ON LAND SURFACE TEMPERATURE IN ANTALYA CITY OF TURKEY
Authors: Selim S. , Eyileten B. , Karakuş N.
Published: April 2023

Abstract. The aim of this study is to investigate the potential cooling effect of urban green spaces on land surface temperature (LST). Two significant green areas and their surroundings in the Konyaaltı district of Antalya province were selected as the sample area. Antalya is one of the most important tourist destinations in Turkey and has experienced rapid population growth along with increasing construction. Because the sample area is located in the Mediterranean Climate Zone, the research datasets were limited to a 6-month time series covering May and October, as recommended by previous studies. In the study, cloudless Landsat 8 satellite images were utilized to obtain vegetation density and land surface temperature. After making atmospheric corrections to the satellite images, the researchers used a series of algorithms to calculate NDVI and LST values from Landsat 8's NIR, Red, and thermal bands. A linear cross-section was assigned from the maps, and statistical analysis was performed by applying the Pearson correlation test to the data obtained from the pixels in contact with the section. The analysis revealed that there is a strong opposite correlation between plant density and land surface temperature, and the land surface temperature decreases as the plant density increases. The cooling effect of green areas range from 0.13–1.04 °C, although it varies according to the month. The 1st sample area had an average cooling effect of 0.77 °C, while the 2nd sample area had an average of 0.28 °C cooling effect. Combining the results from both sample areas, the researchers found that urban green spaces provide a cooling effect of 0.52 °C during the hot months of the spring and summer seasons in the Mediterranean climate zone. The results suggest that green areas play an important role in cooling today's cities that have turned into concrete jungles. Therefore, it is suggested that increasing the presence of urban green areas through green infrastructure planning can not only enhance the cooling effect of green spaces in urban areas but also help combat global climate change.
DERIVING INTERNAL WAVE PHASE SPEED IN THE ARCTIC OCEAN FROM SEQUENTIAL SPACEBORNE SAR OBSERVATIONS
Authors: Kozlov I. E. , Mikhaylichenko T. V.
Published: April 2023

Abstract. Here we present direct estimates of phase speeds of short-period internal waves (SIWs) in the Arctic Ocean obtained from the analysis of sequential Sentinel-1 A/B SAR images. Analysis of the data near Svalbard in June-September 2018 has shown a peak in SIW observations in August. Three key regions of SIW generation are identified: deep Fram Strait, southern and central parts of Yermak Plateau and shelf regions northwest of Svalbard. Maximal SIW phase speed values are found over the Yermak Plateau and attain 0.84 m/s. Over Fram Strait and on the Svalbard shelf, phase speed values are similar with mean value about 0.2–0.3±0.03 m/s. We note that obtained SIW phase speeds are higher than maximal tidal currents over all three SIWs’ observation sites, suggesting their tidal generation and free propagation at subcritical Froude numbers. Comparison of the satellite-based phase speed estimates with theoretical values obtained using a two-layer model and actual hydrology shows a good correspondence for the cases when the time lag between the satellite and the field data is not exceeding one day.
MAPPING AREAS IMPACTED BY VOLCANIC FLOWS DURING AN ERUPTION USING SYNTHETIC APERTURE RADAR AND OPTICAL IMAGERY
Authors: Macorps E. , Jo M. , Osmanoglu B. , Albayrak R. A.
Published: April 2023

Abstract. During volcanic disasters, the remoteness of the terrains combined with potentially incapacitated lifelines (e.g., disturbed transportation network) prevent ground-based surveys for timely assessment of damage extents. To that effect, we worked to combine satellite optical and Synthetic Aperture Radar (SAR) data to rapidly delineate the areas impacted by fast-moving volcanic flows during an eruption (e.g., Pyroclastic Density Currents (PDCs), lahars), which can in turn be used to target and organize the response efforts. We used the 2015 eruptions of Volcán de Colima (Mexico) and Volcán Calbuco (Chile) volcanoes to calibrate detection thresholds of different types of volcanic flows, from optical and SAR imagery. Optical imagery is used to calculate temporal changes of Normalized Difference Vegetation Index (NDVI) associated with the presence of erupted materials on the surface. SAR amplitude images are used to detect changes in surface roughness (sigma0) attributed to the emplacement of new volcanic flows. Classification of the respective NDVI and SAR amplitude signal changes for different types of volcanic flows is done using very-high-resolution imagery and ground-based data obtained during field work. Linear rescaling of minimal and maximal threshold signals is used to create probability maps of volcanic flow deposits extent, and then combined into a joint probability map to maximize the accuracy of the deposit extents. We tested our ability to generate volcanic flow extent maps during the April 2021 eruption of Soufrière St Vincent, using this detection method and the calibrated threshold values for PDCs and lahars.
EXPERIMENTAL ECOSYSTEM NATURAL CAPITAL ACCOUNTS IN THE REPUBLIC OF GUINEA
Authors: Morand J.-A. , Jaffrain G. , Sannier C. , Weber J.-L.
Published: April 2023

Abstract. Over the past thirty years (Rio Conference, 1992), the climate has become an important issue in world politics. With the Kyoto Protocol (1997), atmospheric carbon accounting has gradually been introduced with the aim of raising awareness of national and international decision-making systems for the implementation of an energy transition. However, this carbon approach does not take into account ecosystems despite their fundamental role in climate regulation. A global assessment of all natural resources and ecosystem services, known as natural capital, is necessary from a sustainable development perspective. This assessment must then be taken into account in national accounting systems. The aim of this article is to test, on the national territory of the Republic of Guinea, the ecosystem-based natural capital accounting method developed by Jean-Louis Weber (Weber, 2014). Based on three accounts (ecosystem infrastructure, ecosystem carbon and water resources), this method aims to measure the sustainable capacity or 'sustainability' of ecosystems to provide services. Based on land use & land cover layers produced in the framework of the agroecological zoning project (Jaffrain et al., 2021), we have operationalised this ecosystem accounting methodology in the Republic of Guinea to calculate the total sustainability of the ecosystem. The land cover layers are the basic structural data for monitoring and describing the evolution of the territory at different temporal intervals. Thus, several environmental indicators were defined from these combined geospatial data and eventually allowed to define the evolution of the total sustainability of the territory's ecosystem between 2005 and 2015. A clear degradation of this sustainability value was identified, which reflects the numerous land use changes affecting the country in the recent period (2005-2015).
RESEARCH ON NODE NETWORK TRANSMISSION CAPACITY PREDICTION MODEL FOR LARGE SCALE REMOTE SENSING DATA COLLECTION
Authors: Bai L. , Liu X. , Zhao M. , Wang Z. , Shi G.
Published: April 2023

Abstract. In recent years, the use of remote sensing technology has grown exponentially in various industries such as agriculture, forestry, and urban planning. Remote sensing data collection systems rely on a network of nodes to collect and transmit data. The transmission capacity of these node networks is a critical factor in the performance and efficiency of the entire system. However, accurately predicting the transmission capacity of a node network can be a challenging task. To carry out large scale open remote sensing data collection, it is necessary to predict the network transmission capacity of nodes in the face of the difference in the execution speed of each node for various tasks. It is necessary to predict the network transmission capacity of nodes. In this research, we propose a node network transmission capacity prediction model for large scale remote sensing data collection using a combination of Particle Swarm Optimization (PSO) and Backpropagation (BP) algorithms. The proposed PSO-BP model aims to accurately predict the transmission capacity of a node network in a remote sensing data collection system. The model is tested and evaluated using a large-scale dataset and the results show that the proposed model outperforms existing models in terms of prediction accuracy. This work contributes to the field of remote sensing data collection by providing a reliable and efficient method for predicting the transmission capacity of node networks.
TREE COVER AREA ESTIMATION IN EUROPE BASED ON THE COMBINATION OF IN SITU REFERENCE DATA AND THE COPERNICUS HIGH RESOLUTION LAYER ON TREE COVER DENSITY
Authors: Sannier C. , Gallego J. , Langanke T. , Donezar U. , Pennec A.
Published: April 2023

Abstract. There is a natural tendency from the remote sensing community to extract area statistics (i.e. “Pixel counting”) from EO based geospatial products to produce statistical indicators for various purposes. However, geospatial map products suffer from misclassification errors and “pixel counting” can only be justified when the accuracy of such map products reaches a level when these misclassification errors can be considered negligible, but this is possible only in very specific circumstances. Nevertheless, there has been some effort in the Remote Sensing community to assess the accuracy of map products against some form of reference data to ensure that the maps could reach a sufficient level of accuracy. However, there is generally a lack of standards and guidelines and how to perform rigorous map accuracy assessment and rigorous methods for assessing map accuracies and extracting statistics are still lacking as highlighted by McRoberts (2011). Despite substantial advances in this topic in the scientific literature in recent years notably with the paper from Olofsson et al. (2014), this has yet to be fully implemented in operational projects. In addition, even if map accuracy assessment is performed correctly, high accuracy does not necessarily mean that area statistics can be directly extracted from a map.This study is focused on developing the rigorous and appropriate use (i) of geospatial map products from satellite imagery and (ii) statistically sound methods for reporting area estimates and their associated uncertainty.
THE SPATIAL DISTRIBUTION OF SELECTED OPTICAL ACTIVE COMPONENTS IN THE GULF OF IZMIT USING BIVARIATE/MULTIVARIATE REGRESSION ANALYSIS
Authors: Sunar F. , Dervişoğlu A. , Yağmur N. , Aslan E. , Atabay H.
Published: April 2023

Abstract. Compared to traditional field-based (in-situ sampling) measurements, satellite-based remote sensing is an accurate, timely and cost-effective approach to monitor the dynamics of water bodies using images at different spatial and temporal scales. With satellite-based remote sensing techniques, qualitative measurements obtained directly from satellite images are integrated with in-situ measurements, enabling the establishment of spectral statistical relationships between satellite data and water quality physical indicators such as suspended solids, turbidity and chlorophyll-a. In this study, the spatial distribution of three water quality parameters (Chlorophyll-a (Chl-a), Secchi disk and Conductivity (EC)) which are optical active components (OAC) in the Gulf of Izmit were evaluated using in-situ water quality measurements, together with both field-spectroradiometer measurements and Sentinel-2 satellite imagery. In-situ water quality and field-spectroradiometer measurements were collected at the same date with the satellite overpass. Bivariate and multivariate regression models were established to analyse the correlation of in-situ water quality measurements with two different measurement datasets (i.e. satellite and spectroradiometer), and then the results were evaluated with two accuracy metrics Root Mean Square Error (RMSE) and Mean Absolute Error (MAE); and compared visually with the spatial distribution maps of the three water quality parameters generated by the ordinary Kriging interpolation method.
AN APPROACH TO ANALYSIS OF THE IMPACT OF NATURAL DISASTERS ON THE ECONOMIC EFFICIENCY AND PROFITABILITY OF BUSINESS
Authors: Zlateva P. , Galabov M. , Velev D.
Published: April 2023

Abstract. The paper purpose is to propose an approach to the analysis of the impact of various natural disasters (intense rainfall, extreme high or low temperatures, droughts, strong storms, floods, earthquakes and others) on the economic efficiency and profitability of the business. In this study, more specifically, the business companies in the sphere of production, trade and services are considered. These companies generate net income from sales of production, goods and services. In view of the successful development and sustainability of these companies, it is necessary to analyse the variations in specific ratios of two of the main business indicators (economic efficiency and profitability) under the influence of different natural disasters. The ratios related to the indicator of economic efficiency and profitability are calculated as the corresponding net revenues or profits from sales (of production, goods and services) are divided by one of the following variables: sum of the average balance values of current or fixed tangible assets, incurred full costs of the activity or other. Numerical results of several applications of the proposed approach with particular values of the variables that are included in the expressions describing the two business indicators are presented. The results of the analysis of the calculated values of the ratios related to the two business indicators (economic efficiency and profitability) before and after the possible occurrence of a given natural disaster can successfully support decision-making financial managers to take adequate measures to reduce the potential negative consequences, recover the normal operative activity or increasing resilience of companies.
Diagnosis of fracture-related infection in patients without clinical confirmatory criteria: an international retrospective cohort study
Authors: Vanvelk Niels , Van Lieshout Esther M. M. , Onsea Jolien , Sliepen Jonathan , Govaert Geertje , IJpma Frank F. A. , Depypere Melissa , Ferguson Jamie , McNally Martin , Obremskey William T. , Zalavras Charalampos , Verhofstad Michael H. J. , Metsemakers Willem-Jan
Published: April 2023

Abstract. Background: fracture-related infection (FRI) remains a serious
complication in orthopedic trauma. To standardize daily clinical practice,
a consensus definition was established, based on confirmatory and suggestive
criteria. In the presence of clinical confirmatory criteria, the diagnosis
of an FRI is evident, and treatment can be started. However, if these
criteria are absent, the decision to surgically collect deep tissue cultures
can only be based on suggestive criteria. The primary study aim was to
characterize the subpopulation of FRI patients presenting without clinical
confirmatory criteria (fistula, sinus, wound breakdown, purulent wound
drainage or presence of pus during surgery). The secondary aims were to
describe the prevalence of the diagnostic criteria for FRI and present the
microbiological characteristics, both for the entire FRI population. Methods: a multicenter, retrospective cohort study was performed, reporting
the demographic, clinical and microbiological characteristics of 609
patients (with 613 fractures) who were treated for FRI based on the
recommendations of a multidisciplinary team. Patients were divided in three
groups, including the total population and two subgroups of patients
presenting with or without clinical confirmatory criteria. Results: clinical and microbiological confirmatory criteria were present in 77 %
and 87 % of the included fractures, respectively. Of
patients, 23 % presented without clinical confirmatory criteria, and they mostly
displayed one (31 %) or two (23 %) suggestive clinical criteria
(redness, swelling, warmth, pain, fever, new-onset joint effusion,
persisting/increasing/new-onset wound drainage). The prevalence of any
suggestive clinical, radiological or laboratory criteria in this subgroup
was 85 %, 55 % and 97 %, respectively. Most infections were
monomicrobial (64 %) and caused by Staphylococcus aureus. Conclusion: clinical
confirmatory criteria were absent in 23 % of the FRIs. In these cases, the
decision to operatively collect deep tissue cultures was based on clinical,
radiological and laboratory suggestive criteria. The combined use of these
criteria should guide physicians in the management pathway of FRI. Further
research is needed to provide guidelines on the decision to proceed with
surgery when only these suggestive criteria are present.
An analogues-based forecasting system for Mediterranean marine-litter concentration
Authors: Jordà Gabriel , Soto-Navarro Javier
Published: April 2023

Abstract. In this work, we explore the performance of a statistical forecasting system
for marine-litter concentration in the Mediterranean Sea. In particular, we
assess the potential skills of a system based on the analogues method. The
system uses a historical database of marine-litter concentration simulated
by a high-resolution realistic model and is trained to identify
meteorological situations in the past that are similar to the forecasted
ones. Then, the corresponding marine-litter concentrations of the past
analogue days are used to construct the marine-litter concentration
forecast. Due to the scarcity of observations, the forecasting system has
been validated against a synthetic reality (i.e., the outputs from a marine-litter-modeling system). Different approaches have been tested to refine
the system, and the results show that using integral definitions for the
similarity function, based on the history of the meteorological situation,
improves the system performance. We also find that the system accuracy
depends on the domain of application being better for larger regions. Also,
the method performs well in capturing the spatial patterns but performs worse
in capturing the temporal variability, especially the extreme values. Despite
the inherent limitations of using a synthetic reality to validate the
system, the results are promising, and the approach has potential to become a
suitable cost-effective forecasting method for marine-litter concentration.
Domains of professional practice: analysis of publications in the Journal of the Medical Library Association from 2010 to 2019
Authors: Thompson Holly J. , Boruff Jill T. , Brown Roy , Carroll Alexander J. , Cyrus John W. , Norton Melanie J. , Akers Katherine G.
Published: April 2023

The Medical Library Association (MLA) has defined 7 domain hubs aligning to different areas of information professional practice. To assess the extent to which content in the Journal of the Medical Library Association (JMLA) is reflective of these domains, we analyzed the magnitude of JMLA articles aligning to each domain hub over the last 10 years. Bibliographic records for 453 articles published in JMLA from 2010 to 2019 were downloaded from Web of Science and screened using Covidence software. Thirteen articles were excluded during the title and abstract review because they failed to meet the inclusion criteria, resulting in   articles included in this review. The title and abstract of each article were screened by two reviewers, each of whom assigned the article up to two tags corresponding to MLA domain hubs (i.e., information services, information management, education, professionalism and leadership, innovation and research practice, clinical support, and health equity & global health). These results inform the MLA community about our strengths in health information professional practice as reflected by articles published in JMLA.
122nd Annual Meeting, Medical Library Association, Inc., New Orleans, LA, May 3-6, 2022
Authors: Pionke JJ , Aaronson Ellen M.
Published: April 2023

The Medical Library Association (MLA) held its 122nd annual meeting May 3-6, 2022, in New Orleans, Louisiana. The meeting was entitled “MLA ’22: Reconnect. Renew. Reflect” and utilized a hybrid model with some events in person, and some virtually.
Looking back, looking forward
Authors: Boruff Jill T. , Kraft Michelle
Published: April 2023

The second half of 2022 was a time of much change at the Journal of the Medical Library Association (JMLA). We hope to lead this journal with transparency, and in this spirit, we wanted to give you an overview of what we have done since we were appointed as coeditors in chief (co-EICs) in June 2022.
Labour market performance and wellbeing in developing countries
Authors:   , Afroze Andilip
Published: April 2023

The thesis comprises three independent studies on i. the impact of Social Safety Nets (Bangladesh); ii. gender-specific effect of work hours on health and thresholds of optimal work hours; iii. empirical link between work efforts and child health (Indonesia). It identifies inefficiencies prevailing in developing economies and recommends policies to improve labour market performance and the well-being of underprivileged communities. All three studies conduct empirical analyses employing advanced micro econometric methods such as multiple regression discontinuity design (MRDD), Inverse probability weighted regression adjustment (IPWRA), two-stage probability least square (2SPLS) and instrumental variable (IV) approach on nationally representative household survey data.
Constructing models for training, career practice for students in early teacher training between training institutions and kindling schools
Authors: Duong Huy Can , Le Hong Cam Tu
Published: April 2023

Developing professional capacity for students in Early Childhood Education is a core factor contributing to improving the quality of preschool teacher training of pedagogical institutions. Practical activities, professional training to develop professional capacity for preschool teacher students should be carried out according to plans, organized closely and scientifically in pedagogical institutions and well-coordinated with preschools. The article presents measures to build a model of linkage between these two coordinators in the formation and development of professional capacity for students to meet the professional standards of preschool teachers and social needs on reforming early childhood education.
Application of 5E model in Natural Science teaching to develop students' nature-understanding competence in junior high school
Authors: Tran Thi Ngoc Anh , Hoang Thi Thuy Duong , Pham Thi My Hanh , Tran Thi Thanh Thu
Published: April 2023

According to the Natural Science Curriculum 2018, nature-understanding competence is one of the three components of natural scientific competence. The expression of this competence is that students can perform some basic skills to understand and explain natural phenomena, demonstrating practical problems with scientific evidence. An important feature of teaching Natural Science is that students need to experience and discover things and phenomena of the natural through experiments and practical experiences, thereby forming scientific knowledge and apply knowledge to solve problems in life. The 5E is a model of science teaching in accordance with the educational philosophy of "student-centered" and is built on the theory of constructivist teaching, in which students gain new knowledge based on what they already know. Using the 5E model in teaching helps students to receive knowledge systematically and effectively. In this article, we analyze the correlation between 5E-model phases and expression of understanding nature competence, and design the lesson plan of "oxygen" Natural Science grade 6 by using the theoretical framework in related references. We also use the expert method in the practical investigation methods to get an idea about the competence structure in understanding nature and designing the teaching plan of the subject Oxygen in Natural Science 6.
Organizing the contest “Experiencing STEM in Natural Science” for students at Nguyen Tu Secondary School, Cao Linh City, Dong Thap Province
Authors: Pham Nguyen Cam Tu
Published: April 2023

Experiencing is an activity that helps students approach reality, and directly experience by synthesizing existing knowledge and skills to perform tasks and solve problems. STEM education is a modern educational orientation, an educational model that is widely concerned and deployed around the world to adapt to industry 4.0. The contest “Experiencing STEM in Natural Science” is an activity aimed at fostering the quality, forming, and developing students' capacity based on STEM education for natural sciences. This experiential activity contributes to meeting the current requirements of the comprehensive educational reform and training high-quality human resources, capable of applying interdisciplinary knowledge to solve practical problems. The contest is both a learning environment and a creative playground, helping students develop their abilities, strengthen their passion for scientific research, and affirm their self-worth. The contest was held at Nguyen Tu Secondary School, Cao Lanh City, Dong Thap Province.
Realities on livelihood resources of poor households living along Tien River affected by landslide in Tan Binh and Tan Quoi Commune, Thanh Binh District, Dong Thap Province
Authors: Tran Van Luan , Nguyen Chi Got , Duong Van Khanh
Published: April 2023

On the realities of increasingly serious impacts of landslides on poor households along Tien River, it is necessary to do research about their livelihood resources, thereby proposing solutions to improve their living conditions. Research is conducted by direct survey questionnaire method of 135 households at the poverty level (poor, near-poor households and those with difficult circumstances) affected by landslides in Tan Binh and Tan Quoi Commune, Thanh Binh District, Dong Thap Province. The research result shows that most of their livelihood resources are deficient and mainly reliant on human capital, financial and social capital. To improve adaptive capacity of these households, the improvement of human, financial and social capital is an urgent solution to be invested and supported to them.
Una mirada del estado del arte del enoturismo
Authors: Franco Mendívil Gerardo , Robles Baldenegro María Elena , Camarena Gómez Dena Ma.
Published: April 2023

El presente trabajo es resultado de un proyecto de investigación más amplio. Sin embargo, al ir desarrollando las etapas de este, los investigadores se toparon con una falta de información referente al estado que guarda el enoturismo y desde que puntos de vista se ha estudiado y cuales han sido los resultados obtenidos. De allí que, se inicia a realizar una búsqueda de información bibliográfica en todos los medios impresos y electrónicos que se tuvieron al alcance hasta el momento, para concentrar la misma y facilitar el estudio, análisis o consulta del tema que en el presente se atiende: El enoturismo.
El documento se divide en varias secciones. La primera, nos permite conocer los países y regiones que implementan actualmente la actividad enoturística, como una acción complementaria a la vitivinicultura y en una segunda sección, trata sobre la importancia y peso económico de la misma a escala internacional, Latinoamérica y nacional. Hasta la primera etapa de la investigación, los hallazgos de información, antecedentes, casos tipo, que permiten obtener una primera mirada al objeto de estudio: El Enoturismo.
Physical, Chemical and Biological Characteristics of Sri Lankan Bee Honey Varieties
Authors: Tennakoon T.M.I.U.K. , Vinodani L.P.S. , Warnasooriya W.M.S.N. , Amarasinghe N. R. , Madushani J.S.
Published: April 2023

Objectives: Honey has abundant medicinal properties. It is formed by floral nectar, swaps of plants, and the secretions of bees. The current study determined the physical, chemical, and biological characteristics of Sri Lankan raw bee honey varieties. Methods: A honey stock/library was created using local honey produced by Apis cerana, and Apis dorsata. Colour, conductivity, cell constant and pH were determined under physical tests while free acidity, water content and hydroxymethylfurfural content were determined under chemical tests. Evaluation of biological activities includes checking for antimicrobial activity, antioxidant activity and enzymatic activity. Results: The pH values recorded for A. dorsata and A. cerana honey ranged from 4.14–5.55 and 4.54–6.33, respectively. The electrical conductivity of all the samples ranged from 0.39-2.59 mS cm-1. The free acidity of honey samples of A. dorsata was between 25-81.7 meq/kg and that for A. cerana was between 40- 82.7 meq/kg. The hydroxymethylfurfural content of honey samples of A. dorsata and A. cerana were 9.38-49.50 mg/kg and 7.49-53.94 mg/kg, respectively. The two honey varieties were similar in chemical and physical characteristics tested except for water content where the water content of honey from A. dorsata was significantly higher than that of A. cerana. All honey samples investigated had antibacterial activity against gram-negative bacteria E. coli and gram-positive bacteria S. aureus. A. cerana honey had higher antioxidant activity than A. dorsata honey while A. dorsata honey had higher enzymatic activity than A. cerana honey. Conclusions: The present study reveals that the physiochemical properties of two honey varieties were similar except for water content while biological properties were significantly different. This study indicates that honey from both A. dorsata and A. cerana of Sri Lanka has potential therapeutic activities that can be used to develop natural drug formulations.
Segmentación de imágenes agrícolas adquiridas con drone mediante algoritmos paralelos
Authors: Ponce Patricia , Pusdá Chulde Marco , Ortega Bustamante MacArthur
Published: April 2023

Las imágenes obtenidas con drones desde perspectiva vertical presentan información importante de los cultivos agrícolas, lo que permite sistematizar diversas actividades relacionadas con la agricultura de precisión (AP). Los algoritmos secuenciales desarrollados en lenguajes de programación tradicionales consumen tiempos y recursos de hardware altos en el procesamiento de imágenes digitales de grandes tamaños. Para reducir los tiempos de cómputo se desarrolló un algoritmo paralelo para segmentar imágenes utilizando la librería OpenMP. OpenMP es una librería compatible con lenguajes de programación de bajo nivel que permiten la implementación de algoritmos paralelos en lenguajes C o C++ en entornos Linux para arquitecturas multicore. El algoritmo secuencial para implementarlo mediante paralelismo fue necesario dividir en varias tareas más pequeñas y ejecutarlas en varios núcleos disponibles en procesadores multicore para mejorar la velocidad de procesamiento. Las métricas utilizadas (tiempo de ejecución, aceleración, eficiencia y costo computacional) permitieron evaluar el rendimiento de los algoritmos con imágenes de diferentes dimensiones obteniendo resultados favorables que verifica la mejora del algoritmo paralelo. La paralelización de algoritmos secuenciales muestra un importante reducción de los tiempos de ejecución (66.37%) con imágenes grandes y (74.73% ) con imágenes pequeñas utilizando el número máximo de núcleos (8)
Impact Assessment of National Social Services Community Program in the Philippines
Authors: Pontual Grace , Guillena Junge
Published: April 2023

This study evaluated the implemtation and impact of the Kapit-Bisig Laban sa Kahirapan – National Community Driven Development Program (KC-NCDDP) in Initao, Misamis Oriental in terms of socio-economic domain, institutional domain, community empowerment domain, and education sector for cycles 1, 2, 3 and 4. The respondents were selected using a purposive sampling technique based on their designation and functions for the previous cycles of the implementation from October 2015 to December 2019. Using descriptive correlation research design, the study utilized a researcher-made instrument to conduct the survey and interview among the selected respondents in all barangays. The study revealed that KC-NCDDP was effective in reducing poverty and promoting social and economic growth under the socio-economic domain as manifested by respondents’ strong agreement on the benefits and services they received from the completed sub-projects or infrastructures. Similarly, it was effective in promoting good governance outcomes under the institutional domain because people had active participation in municipal and barangay activities. It was also effective in empowering communities under the community empowerment domain because people gained a wider knowledge, skills, and values to be productive citizens in the community. In terms of the education sector, it was also effective in promoting school-based management (SBM) participation. For further validation of the results, there must be a similar study conducted with a larger group of subjects if the same findings will be established.
Research on Multi-product Order Splitting and Distribution Route Optimization Of "Multi-warehouse in One Place"
Authors: Li Wanling , Gao Gengjun
Published: April 2023

In recent years, large online supermarkets have become a new trend in the development of e-commerce. Due to the limited storage capacity of a single warehouse, many large online supermarkets, such as Jingdong and Tmall, often adopt the warehouse layout of "one place and multiple warehouses" to quickly respond to customer needs, and the sorting and distribution tasks of orders are completed by the warehouse. At the same time, due to the change of people's lifestyle, customer demand presents the characteristics of "one order with multiple products" and "one order with multiple quantities", which makes the split fulfillment of orders become a common phenomenon. In this paper, under the condition that the warehouse is not out of stock in the layout of one place and many warehouses, aiming at the split execution problem of multi-category orders, the split order method is based on the combination of "minimum split order rate" and "principle of proximity". An order splitting optimization model considering both category and quantity splitting is established, and a set of initial order batch splitting schemes is formed to achieve the first optimization of multi-category order splitting. Secondly, the PLBH-LNS method is used to generate a better initial distribution scheme considering the customer preset time window limit and vehicle-mounted capacity constraint. Finally, with the goal of minimizing the total order performance cost, the solution idea of two-stage method is used for reference, based on the initial order splitting scheme and distribution scheme, the improved two-stage genetic algorithm is used to generate the optimal order allocation scheme and distribution scheme from the alternative schemes, and the global optimization of the splitting and distribution process is realized. The experimental results show that compared with the order splitting strategy using simple rules in practice, the PLBH-LNS method can reduce the average order splitting cost by 12.48%, which provides a new idea and effective auxiliary decision support for the order splitting problem of large online supermarkets.
On the Protection of Personal Privacy in Government Information Disclosure in Public Health Emergencies
Authors: He Junhua
Published: April 2023

The new crown epidemic that swept the world in 2020 has brought huge challenges to the social governance of the Chinese government. In the face of this public health emergency, on the one hand, information disclosure has become a "special medicine" for the government to ensure the safety of people's lives and maintain social stability; How to balance government information disclosure and personal privacy protection in a health event? How can the government information disclosure mechanism be further improved under the perspective of personal privacy protection? How to improve the relief system for government information disclosure infringing personal privacy? The existence of these problems actually puts forward requirements for the improvement of government information disclosure in terms of personal privacy protection in public health emergencies in China, that is, to improve the review mechanism, supervision and accountability mechanism of government information disclosure, clarify the scope of personal privacy disclosure, improve The relief system of personal privacy, thus blazing a path of balance between government information disclosure and personal privacy protection in public health emergencies.
Synergistic antidepressant effect of Schisandra lignans and Schisandra polysaccharides
Authors: Li Zhengze
Published: April 2023

The CUMS（Chronic unpredictable mild stress） method was used to establish a depression model，and the combination of schisandra lignans and schisandra polysaccharides was used for drug treatment, and its effect on the depressive behavior of mice was observed through behavioral indicators, and then the synergistic anti-inflammatory effects of schisandra lignans and schisandra polysaccharides were explored. The study found that the food intake of the CUMS-induced model mice decreased significantly after depression, and major symptoms such as depression, anxiety, loss of libido, and weight loss appeared. After 28 days of administration, the depression symptoms of the positive control group, Schisandra lignan group, Schisandra polysaccharide group, Schisandra lignan and polysaccharide group gradually improved, while the model group showed obvious depression.  Schisandra lignans and Schisandra polysaccharides have synergistic antidepressant effects.
Effect of combined microbial-plant remediation on soil physical properties in mining area
Authors: Ye Shenglan , Li Juan , Wu Dan
Published: April 2023

In view of the problems of vegetation damage, soil water and fertilizer shortage, soil heavy metal pollution, ecosystem damage and other problems existing in the long-term mining of the coal mine area, this study uses micro-organism-plant to bioremediation the coal mine area. The changes of soil physical properties were studied through pot experiment. The results show that the combined remediation can change the physical properties of soil to a certain extent, but the effect is not significant in the short term.
Progress of research on prodigiosin
Authors: Tan Xinfeng , Wang Xin
Published: April 2023

Prodigiosin is a natural red pigment derived primarily from secondary metabolites of microorganisms, especially Serratia marcescens. Prodigiosin has been proven to have antitumor, antibacterial, antimalaria, anti‐insect, antialgae, and immunosuppressive activities, and is gaining increasing important in the global market because of its great potential application value in clinical medicine development, environmental treatment, preparation of food additives, and so on. This paper reviews the progress of the research on prodigiosin.
Heterologous expression of glutamine transaminase in Escherichia coli
Authors: Yan Wenhui , Li Zengmei , Wang Yu
Published: April 2023

Transglutaminase (TGase) has been widely used in food, textile, leather, medicine and other industries. It is currently a research hotspot of industrial production of mTG enzyme to express the gene sequence encoding mTG enzyme in engineering strains by means of genetic engineering. This paper successfully expresses the gene sequence of mTG enzyme in Escherichia coli, providing a reference for industrial production of mTG enzyme.
Status of TG enzyme modified fish gelatin
Authors: Wu Jintao
Published: April 2023

TG enzyme can catalyze the ligation reaction (glycosylation reaction), crosslinking reaction and deamination reaction between or within proteins, and has great application potential in the food field. TG enzyme was used as coagulant to modify fish gelatin, and the effects of crosslinking temperature, pH, TG enzyme dosage, gelatin concentration and crosslinking time on the characteristics of fish gelatin gel were discussed.
Zero-Velocity Detection Method Based on Ultrasonic Ranging Assistance
Authors: Liang Juyang , Luo Dasen , Hui Jiawei , Zhao Bolong
Published: April 2023

The accumulated error in inertial pedestrian navigation can be transplanted through the zero-velocity correction algorithm, and the zero-velocity detection algorithm at this stage has the problems of single threshold, easy to miss detection and false detection, large calculation amount and large calculation delay. In order to solve these problems, an ultrasonic ranging auxiliary zero-velocity detection method is proposed. The foot spacing is measured in real time by an ultrasonic sensor placed on both feet, and then a time constraint is added to the Generalized Likelihood Ratio (GLRT) method using the time relationship between the shortest foot spacing and the zero-velocity interval. Experiments show that the accuracy of the proposed algorithm is better than that of the single threshold method under different gait states, and the average accuracy is above 95%. And due to the characteristics of high ultrasonic short-distance accuracy and small size, this method has simple calculation and small delay, which has practical application value.
Identification of endogenous peptides in maize
Authors: Yin Haoqiang , Li Yuzheng , Zhao Jiaqi , Liu Shanshan , Li Anran , Yang Liuqi , Liu Tao , Tian Mingchun , Li Xinyang , Wang Shunxi , Tian Lei
Published: April 2023

The extraction and identification of endogenous peptides from plants are relatively unexplored because of the degradation of peptides after extraction from plant tissues. In this study, we developed an optimized sample preparation protocol that combined constant water heating with plant protease inhibitors and TCA-acetone precipitation, resulting in the effective extraction of endogenous peptide from plants, such as maize, while diminishing unspecific protease activity. The results showed that a total of 2867 endogenous peptides were identified in three maize samples using this method, of which 2119 (73.9%) peptides were commonly identified in all three samples. The length and molecular weight of these peptides ranged from 8 to 25 amino acids and from 729.44 to 2980.62 Da, respectively, with 96.4% of the peptide scores greater than 40. These results indicated that our extraction method is highly reproducible, precise, and wide-ranging, providing optimized information for large-scale identification of plant endogenous peptides.
Progress in companion diagnosis of colorectal cancer
Authors: Su Quanlin
Published: April 2023

The incidence of colorectal cancer has been increasing year by year in China in recent years. This article mainly introduces the current common companion diagnostic techniques for colorectal cancer and the monitoring of minimal residual disease and other relevant research progress in the field of colorectal cancer in vitro diagnosis, and compares them with similar detection techniques. The aim is to provide a reference for summarizing the current research status of molecular diagnosis of colorectal cancer.