bluuebunny/crossref_metadata_2025 huggingface dataset:
RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. Remote Sens. 2021, 13, 4543
Authors: Xu Hanqiu , Duan Weifang , Deng Wenhui , Lin Mengjing
Published: October 2022

Recently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI), to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a modification to the previous remote sensing-based ecological index (RSEI), which is a frequently used remote sensing technique for evaluating regional ecological status. Based on the investigation of the ecological implications of the three principal components (PCs) derived from the principal component analysis (PCA) and the case study of the Qaidam Basin, this comment analyzed the rationality of the modification made to RSEI by MRSEI and compared MRSEI with RSEI. The analysis of the three PCs shows that the first principal component (PC1) has clear ecological implications, whereas the second principal component (PC2) and the third principal component (PC3) have not. Therefore, RSEI can only be constructed with PC1. However, MRSEI unreasonably added PC2 and PC3 into PC1 to construct the index. This resulted in the interference of each principal component. The addition also significantly reduced the weight of PC1 in the computation of MRSEI. The comparison results show that MRSEI does not improve RSEI, but causes the overestimation of the ecological quality of the Qaidam Basin. Therefore, the modification made by MRSEI is questionable and MRSEI is not recommended to be used for regional ecological quality evaluation.
RecepNet: Network with Large Receptive Field for Real-Time Semantic Segmentation and Application for Blue-Green Algae
Authors: Yang Kaiyuan , Wang Zhonghao , Yang Zheng , Zheng Peiyang , Yao Shanliang , Zhu Xiaohui , Yue Yong , Wang Wei , Zhang Jie , Ma Jieming
Published: October 2022

Most high-performance semantic segmentation networks are based on complicated deep convolutional neural networks, leading to severe latency in real-time detection. However, the state-of-the-art semantic segmentation networks with low complexity are still far from detecting objects accurately. In this paper, we propose a real-time semantic segmentation network, RecepNet, which balances accuracy and inference speed well. Our network adopts a bilateral architecture (including a detail path, a semantic path and a bilateral aggregation module). We devise a lightweight baseline network for the semantic path to gather rich semantic and spatial information. We also propose a detail stage pattern to store optimized high-resolution information after removing redundancy. Meanwhile, the effective feature-extraction structures are designed to reduce computational complexity. RecepNet achieves an accuracy of 78.65% mIoU (mean intersection over union) on the Cityscapes dataset in the multi-scale crop and flip evaluation. Its algorithm complexity is 52.12 GMACs (giga multiply–accumulate operations) and its inference speed on an RTX 3090 GPU is 50.12 fps. Moreover, we successfully applied RecepNet for blue-green algae real-time detection. We made and published a dataset consisting of aerial images of water surface with blue-green algae, on which RecepNet achieved 82.12% mIoU. To the best of our knowledge, our dataset is the world’s first public dataset of blue-green algae for semantic segmentation.
Water Storage Variation and Its Possible Causes Detected by GRACE in the Volta River Basin
Authors: Djessou Randal D. , Wan Xiaoyun , Yi Shuang , Annan Richard F. , Su Xiaoli , Wang Sijia
Published: October 2022

This study applies Gravity Recovery and Climate Experiment (GRACE) data and the WaterGAP (Water Global Analysis and Prognosis) Global Hydrology Model (WGHM) to investigate the influence of the Bui reservoir operation on water storage variation within the Volta River Basin (VRB). Variation in groundwater storage anomalies (GWSA) was estimated by combining GRACE-derived terrestrial water storage anomalies (TWSA), radar altimetry records, imagery-derived reservoir (Lake Volta and Bui) surface water storage anomalies (SWSA), and Global Land Data Assimilation System (GLDAS)-simulated soil moisture storage anomalies (SMSA) from 2002 to 2016. Results showed that TWSA increased (1.30 ± 0.23 cm/year) and decreased (−0.82 ± 0.27 cm/year) during 2002–2011 and 2011–2016, respectively, within VRB, matching previous TWSA investigations in this area. It revealed that the multi-year averages of monthly GRACE-derived TWSA changes in 2011–2016 displayed an overall increasing trend, indicating storage increase in regional hydrology; while the Lake Volta water storage changes decreased. The GRACE-minus-WGHM residuals display an increasing trend in VRB water storage during the Bui reservoir impoundment during 2011–2016. The observed trend compares well with the estimated Bui reservoir SWSA, indicating that GRACE solutions can retrieve the true amplitude of large mass changes happening in a concentrated area, though Bui reservoir is much smaller than the resolution of GRACE global solutions. It also revealed that GWSA were almost stable from 2002 to 2006, before increasing and decreasing during 2006–2011 and 2012–2016 with rates of 2.67 ± 0.34 cm/year and −1.80 ± 0.32 cm/year, respectively. The observed trends in the GRACE-derived TWSA and GWSA changes are generally attributed to the hydro-meteorological conditions. This study shows that the effects of strong El-Niño Southern Oscillation events on the GWSA interannual variability within the VRB is short-term, with a lag of 6 months. This study specifically showed that the Bui reservoir operation significantly affects the TWSA changes and provides knowledge on groundwater storage changes within the VRB.
Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs
Authors: Liu Yang , Feng Haikuan , Yue Jibo , Fan Yiguang , Jin Xiuliang , Song Xiaoyu , Yang Hao , Yang Guijun
Published: October 2022

Aboveground biomass (AGB) is an important indicator to evaluate crop growth, which is closely related to yield and plays an important role in guiding fine agricultural management. Compared with traditional AGB measurements, unmanned aerial vehicle (UAV) hyperspectral remote sensing technology has the advantages of being non-destructive, highly mobile, and highly efficient in precision agriculture. Therefore, this study uses a hyperspectral sensor carried by a UAV to obtain hyperspectral images of potatoes in stages of tuber formation, tuber growth, starch storage, and maturity. Linear regression, partial least squares regression (PLSR), and random forest (RF) based on vegetation indices (Vis), green-edge parameters (GEPs), and combinations thereof are used to evaluate the accuracy of potato AGB estimates in the four growth stages. The results show that (i) the selected VIs and optimal GEPs correlate significantly with AGB. Overall, VIs correlate more strongly with AGB than do GEPs. (ii) AGB estimates made by linear regression based on the optimal VIs, optimal GEPs, and combinations thereof gradually improve in going from the tuber-formation to the tuber-growth stage and then gradually worsen in going from the starch-storage to the maturity stage. Combining the optimal GEPs with the optimal VIs produces the best estimates, followed by using the optimal VIs alone, and using the optimal GEPs produces the worst estimates. (iii) Compared with the single-parameter model, which uses the PLSR and RF methods based on VIs, the combination of VIs with the optimal GEPs significantly improves the estimation accuracy, which gradually improves in going from the tuber-formation to the tuber-growth stage, and then gradually deteriorates in going from the starch-storage to the maturity stage. The combination of VIs with the optimal GEPs produces the most accurate estimates. (iv) The PLSR method is better than the RF method for estimating AGB in each growth period. Therefore, combining the optimal GEPs and VIs and using the PLSR method improves the accuracy of AGB estimates, thereby allowing for non-destructive dynamic monitoring of potato growth.
Building Consensus during Racially Divisive Times: Parents Speak Out about the Twin Pandemics of COVID-19 and Systemic Racism
Authors: Luttrell Wendy , Edwards Mieasia , Jiménez José
Published: October 2022

This paper utilizes narrative inquiry to examine the effect of COVID-19 on political resistance, focusing on education as a key site. Based on survey and interview data the paper considers parents’ perspectives about the impacts of COVID-19 and racial inequalities in their children’s schooling. Two narrative types are constructed and analyzed: consensus narratives and parenting narratives that refute an overarching, manufactured political narrative in the United States of “divisiveness” about race and education, while also identifying the layers and complexities of individual parents’ everyday lives raising and educating children.
The Relationship between 24 h Ultramarathon Performance and the “Big Three” Strategies of Training, Nutrition, and Pacing
Authors: Takayama Fuminori , Mori Hisashi
Published: October 2022

Background: The present case study examined the relationship between 24 h ultramarathon performance and the “big three” strategies of training, nutrition, and pacing. Methods: A 32-year-old male ultramarathon runner (body mass: 68.5 kg, height: 179 cm) participated in a 24 h ultramarathon race. Training status was quantified based on from a GPS sports watch. The nutritional status was evaluated during the week leading up to the race, and blood glucose level and heart rate were measured during the race. Results: His aim of the distance was 200 km, but the actual performance was 171.760 km. The blood glucose level was stable because of adequate CHO intake before (7.2 ± 0.8 g/kg/day) and during the race (48 g/h). The running speed decreased in the middle and later stages of the race despite adequate CHO intake and a lack of high intensity running in the early stage of the race. The longest training session before the race (80 km) had to be significantly shorter compared to the aim. Conclusions: For optimal 24 h ultramarathon performance, the “big three” strategies of training, nutrition, and pacing are all important. However, the performance level estimated based on previous studies may be achievable even with insufficient training, as long as the nutritional and pacing strategies are appropriate.
Investment Suitability Assessment Based on B&R Symbiotic System Theory: Location Choice of China’s OFDI
Authors: Yin Yanzhao , Liu Youjin
Published: October 2022

Achieving mutualistic symbiosis is the core concept of China’s promotion of the Belt and Road Initiative (BRI). Therefore, how to guide China’s OFDI location decision-making in the Belt and Road (B&R) countries from the perspective of mutualistic symbiosis is of great significance. This paper constructs the B&R symbiotic system based on symbiotic system theory, to establish the investment suitability index from three dimensions: stability, coordination, and sustainability, then uses the entropy weight, TOPSIS, and GIS method to assess and analyze the investment suitability index of 60 major countries in B&R’s six economic corridors. The findings indicate that Russia, India, Indonesia, Thailand, Singapore, Vietnam, and Malaysia have the highest investment suitability and are China’s most favorable OFDI destinations for achieving mutualistic symbiosis. Conversely, Syria, Lebanon, Jordon, and Yemen have the lowest investment suitability. Based on these results, policymakers can formulate more scientific and reasonable policies to guide China’s OFDI to make location decisions in B&R countries with high investment suitability, so as to promote the high-quality and sustainable development of B&R construction. However, due to data acquisition and technical reasons, this study does not analyze investment suitability from time trends. The analysis of investment suitability from more B&R countries or different types of industries is an important direction for further research in the future.
Transcriptomic Interaction between Young Fecal Transplantation and Perfluorobutanesulfonate in Aged Zebrafish Gonads
Authors: Tang Lizhu , Li Jing , Sun Baili , Bai Yachen , Zhou Xiangzhen , Chen Lianguo
Published: October 2022

The transfer of young fecal microbiota has been found to significantly refresh the reproductive endocrine system and effectively ameliorate the toxicity of perfluorobutanesulfonate (PFBS) in aged zebrafish recipients. However, the mechanisms underlying the antagonistic action of young fecal microbiota against the reproductive endocrine toxicity of PFBS remain largely unknown. In this study, the aged zebrafish were transplanted with feces from young donors and then exposed to PFBS for 14 days. After exposure, the shift in the transcriptomic fingerprint of the gonads was profiled by using high-throughput sequencing, aiming to provide mechanistic clues into the interactive mode of action between young fecal transplantation and PFBS’s innate toxicity. The results showed that the gene transcription pattern associated with protein and lipid synthesis in the gonads of the aged individuals was quite different from the young counterparts. It was intriguing that the transplantation of young feces established a youth-like transcriptomic phenotype in the elderly recipients, thus attenuating the functional decline and maintaining a healthy aging state of the gonads. A sex specificity response was clearly observed. Compared to the aged females, more metabolic pathways (e.g., glycine, serine, and threonine metabolism; glyoxylate and dicarboxylate metabolism; pyrimidine metabolism) were significantly enriched in aged males receiving young feces transplants. PFBS dramatically altered the transcriptome of aged testes, while a much milder effect was observable in aged ovaries. Accordingly, a suite of biological processes related to germ cell proliferation were disrupted by PFBS in aged males, including the ECM–receptor interaction, retinol metabolism, and folate biosynthesis. In aged ovaries exposed to PFBS, mainly the fatty acid and arginine biosynthesis pathway was significantly affected. However, these transcriptomic disorders caused by PFBS were largely mitigated in aged gonads by transferring young feces. Overall, the present findings highlighted the potential of young fecal transplantation to prevent the functional compromise of gonads resulting from aging and PFBS.
Using Urinary Biomarkers to Estimate the Benzene Exposure Levels in Individuals Exposed to Benzene
Authors: Cui Shiwei , Pang Bo , Yan Huifang , Wu Bo , Li Ming , Xing Caihong , Li Juan
Published: October 2022

Urinary benzene metabolites trans, trans-muconic acid (t, t-MA), and S-phenyl mercapturic acid (S-PMA) are often used as biomarkers of internal exposure to benzene. However, there are few reports on using urinary benzene metabolites to estimate airborne benzene concentrations in individuals exposed to benzene. In this study, t, t-MA, and S-PMA were analyzed by UPLC-MS/MS, and a simple pharmacokinetic model was used to calculate the daily intake (DI) of benzene based on the levels of urinary t, t-MA, and S-PMA in occupational individuals. The back-calculated airborne benzene levels (BCABL) were obtained from the DI of benzene. Among the exposed subjects (n = 84), the median BCABL (3.67 mg/m3) based on t, t-MA was very close to the median level of measured airborne benzene (3.27 mg/m3, p = 0.171), and there was no effect of smoking or dietary habits on t, t-MA-based BCABL. In the control subjects (n = 49), the levels of measured airborne benzene were all below the quantitation limit (0.024 mg/m3), and the BCABL (0.002–0.25 mg/m3) calculated by S-PMA was close to this background level. Our study suggests that the t, t-MA-based BCABL can reflect the actual airborne benzene level in a range of 1.10–86.91 mg/m3 and that the S-PMA-based BCABL is more reliable for non-professional benzene exposure.
Burden and Epidemiology of Human Intestinal Giardia duodenalis Infection in Colombia: A Systematic Review
Authors: Fusaro Carmine , Chávez-Romero Yosef A. , Prada Sonia Liliana Gómez , Serrano-Silva Nancy , Bernal Jaime E. , González-Jiménez Francisco Erik , Sarria-Guzmán Yohanna
Published: October 2022

The genus Giardia is a unicellular protozoan able to parasitize both humans and animals. Cysts of Giardia can be found in soil samples, aquatic environments, food, and any surface that gets in contact with the feces of parasitized animals. The aim of this systematic review was to analyze the burden and epidemiology of Giardia infection in Colombia summarizing recent scientific reports and existing knowledge and to identify knowledge gaps that may be addressed in future investigations. This work follows the guidelines established by “Preferred Reporting Items for Systematic Reviews and Meta-Analyzes” (PRISMA). Published scientific literature from 1 January 2010 to 18 September 2022 was searched in six electronic scientific databases using the search terms: “Giardia” OR “Giardiasis” AND “Colombia”. Twenty-three scientific articles were performed in 22 departments of Colombia at rural, urban, and a combination of rural and urban contexts. The prevalence of Giardia in the Colombian population was between 0.9 and 48.1% when the samples were analyzed with classical microscopy; the range of Giardia prevalence was even bigger (4.2–100%) when qPCR and nested PCR were used. The dominant Giardia assemblages found in Colombia were A and B, and most frequent subassemblages were AII, BIII, and BIV.
Quintom Fields from Chiral K-Essence Cosmology
Authors: Socorro José , Pérez-Payán Sinuhé , Hernández-Jiménez Rafael , Espinoza-García Abraham , Díaz-Barrón Luis Rey
Published: October 2022

In this paper, we present an analysis of a chiral cosmological scenario from the perspective of K-essence formalism. In this setup, several scalar fields interact within the kinetic and potential sectors. However, we only consider a flat Friedmann–Robertson–Lamaître–Walker universe coupled minimally to two quintom fields: one quintessence and one phantom. We examine a classical cosmological framework, where analytical solutions are obtained. Indeed, we present an explanation of the “big-bang” singularity by means of a “big-bounce”. Moreover, having a barotropic fluid description and for a particular set of parameters, the phantom line is in fact crossed. Additionally, for the quantum counterpart, the Wheeler–DeWitt equation is analytically solved for various instances, where the factor-ordering problem has been taken into account (measured by the factor Q). Hence, this approach allows us to compute the probability density of the previous two classical subcases. It turns out that its behavior is in effect damped as the scale factor and the scalar fields evolve. It also tends towards the phantom sector when the factor ordering constant Q≪0.
Comparing Mobility and Spatial Pathways in the Hourly Prediction of Violent Crime
Authors: Vachuska Karl
Published: October 2022

Much research has documented the contagiousness of violence. Some of this work has focused on contagiousness as operationalized by the spread across geographical space, while other work has examined the spread within social networks. While the latter body of work struggles with incomplete network data, the former constitutes a theoretical mismatch with how violence should spread. Theory instead strongly suggests that violence contagion should diffuse through everyday mobility networks rather than just adjacently through geographical space. Beyond contagion itself, I argue that neighborhoods connected through mobility networks should serve as useful short-term sensors in predicting imminent violence because these sets of residents tend to experience shared environmental exposures, which may induce synchrony in the likelihood of violence. I explore this topic and these relationships using violent crime data from the three largest U.S. cities: New York City, Los Angeles, and Chicago. Using two-way fixed effects models, I test whether or not violence in mobility-connected alter neighborhoods in the preceding hour predicts violence in an ego neighborhood in the next hour. Across all three jurisdictions, I find that recent violence in the neighborhoods to which a neighborhood is connected through mobility ties can strongly predict that neighborhood’s odds of subsequent violence. Furthermore, spatial proximity has no significant effect on the likelihood of violent crime after controlling for mobility ties. I conclude by arguing that mobility patterns are an important pathway in the prediction of violence.
Vaccine Adverse Events Following COVID-19 Vaccination with Inactivated Vaccines in Zimbabwe
Authors: Makadzange Azure Tariro , Gundidza Patricia , Lau Charles , Beta Norest , Myburgh Nellie , Elose Nyasha , James Wilmot , Stanberry Lawrence , Ndhlovu Chiratidzo
Published: October 2022

Vaccination is one of the most effective methods for preventing morbidity and mortality from COVID-19. Vaccine hesitancy has led to a decrease in vaccine uptake; driven by misinformation, fear, and misperceptions of vaccine safety. Whole inactivated vaccines have been used in one-fifth of the vaccine recipients in Africa, however there are limited real-world data on their safety. We evaluated the reported adverse events and factors associated with reported adverse events following vaccination with whole inactivated COVID-19 vaccines-BBiBP-CorV (Sinopharm) and CoronaVac (Sinovac). A quantitative survey evaluating attitudes and adverse events from vaccination was administered to 1016 adults presenting at vaccination centers. Two follow-up telephone interviews were conducted to determine adverse events after the first and second vaccination dose. Overall, the vaccine was well tolerated; 26.0% and 14.4% reported adverse events after the first and second dose, respectively. The most frequent local and systemic adverse events were pain at the injection site and headaches, respectively. Most symptoms were mild, and no participants required hospitalization. Participants who perceived COVID-19 vaccines as safe or had a personal COVID-19 experience were significantly less likely to report adverse events. Our findings provide data on the safety and tolerability of whole inactivated COVID-19 vaccines in an African population, providing the necessary data to create effective strategies to increase vaccination and support vaccination campaigns.
The Willingness of Parents to Vaccinate Their Children Aged from Five to under Twelve Years with COVID-19 Vaccines between February and March 2022 in Vietnam
Authors: Duong An Hoai , Duong Giang Huong , Pham Hue Thi
Published: October 2022

The current study used data surveyed with 5357 parents/guardians (parents would be used to represent both ‘parents’ and ‘guardians’ hereafter) between February and March 2022 in Vietnam to examine their willingness to vaccinate their children with current COVID-19 vaccines. It applied the multinomial logistic regression model to examine the association between the willingness of parents and selected influential factors. In addition, the reasons that made parent hesitant or unwilling to vaccinate their children were investigated. Moreover, it identified parents’ preferences for vaccine origins. Approximately, 75.4% of the parents were willing, 21.3% were hesitant and 3.3% were unwilling to vaccinate their children. The most common reasons that made the parents hesitant or unwilling to vaccinate their children were their concerns about the vaccine safety, efficacy and immunity. The most and the second most preferred vaccines were those developed/originated in the US and EU, respectively. Parents who were more likely to vaccinate their children included those whose children were insured, who regularly vaccinated their children, who belonged to the vaccine priority groups, who possessed sufficient knowledge about the ways to prevent the virus or about the herd immunity, and who perceived that their children might be infected with the virus and whose children were afraid of needles. Parents who were less likely to vaccinate their children included those who were the family main income source, who had savings, and who had tertiary education or higher.
Renal Side Effects of COVID-19 Vaccination
Authors: Zhang Junfeng , Cao Jiajia , Ye Qing
Published: October 2022

Background: The COVID-19 pandemic has imposed a challenge on global healthcare and has tremendously impacted everyone’s lives. Vaccination is one of the most effective and vital strategies to halt the pandemic. However, new-onset and relapsed kidney diseases have been reported after COVID-19 vaccination. This narrative review was conducted to collect published data and generalize some hypotheses for the pathogenesis of renal side effects of COVID-19 vaccines. Methods: A systematic literature search of articles reporting renal adverse reactions, including in adults and children, in the PubMed and Web of Science databases until August 2022 was performed. Results: A total of 130 cases reporting a renal adverse reaction following COVID-19 vaccination from 90 articles were included in this review, of which 90 (69%) were new-onset kidney diseases, while 40 (31%) were relapsed kidney diseases. The most frequent renal side effects of COVID-19 vaccination were minimal change disease (52 cases), IgA nephropathy (48 cases), antineutrophil cytoplasmic autoantibody vasculitis (16 cases), and acute interstitial nephritis (12 cases). Other renal side effects occurred at a much lower frequency. Follow-up data were available for 105 patients, and 100 patients (95%) responded to the treatments. Conclusions: The number of reported cases is far less than the hundreds of millions of vaccinations, and the benefit of COVID-19 vaccination far outweighs its risks. This review will assist healthcare professionals, particularly nephrologists, who should be aware of these side effects and recognize them early and treat them efficiently.
Utility of IL-6 in the Diagnosis, Treatment and Prognosis of COVID-19 Patients: A Longitudinal Study
Authors: Jain Vikram , Kumar Pratap , Panda Prasan Kumar , Suresh Mohan , Kaushal Karanvir , Mirza Anissa A. , Raina Rohit , Saha Sarama , Omar Balram J. , Subbiah Vivekanandhan
Published: October 2022

COVID-19 has caused devastating effects worldwide ever since its origin in December 2019. IL-6 is one of the chief markers used in the management of COVID-19. We conducted a longitudinal study to investigate the role of IL-6 in diagnosis, treatment, and prognosis of COVID-19-related cytokine storm. Patients with COVID-19 who were admitted at AIIMS Rishikesh from March to December 2020 were included in the study. Patients with no baseline IL-6 value at admission and for whom clinical data were not available were excluded. Clinical and laboratory data of these patients were collected from the e-hospital portal and entered in an excel sheet. Correlation was seen with other inflammatory markers and outcomes were assessed using MS Excel 2010 and SPSS software. A total of 131 patients were included in the study. Of these, 74.8% were males, with mean age 55.03 ± 13.57 years, and mean duration from symptom onset being 6.69 ± 6.3 days. A total of 82.4% had WHO severe category COVID-19, with 46.56% having severe hypoxia at presentation and 61.8% of them having some comorbidity. Spearman rank correlation coefficient of IL-6 with D-dimer was 0.203, with LDH was −0.005, with ferritin was 0.3, and with uric acid was 0.123. A total of 11 patients received Tocilizumab at a mean duration from symptom onset of 18.09 days, and 100% mortality was observed. Deaths were reported more in the group with IL-6 ≥ 40 pg/mL (57.1% vs. 40.2%, p = 0.06). ICU admissions and ventilator requirement were higher in the IL-6 ≥ 40 pg/mL group (95.9% vs. 91.4%, p = 0.32 and 55.1% vs. 37.8%, p = 0.05). The study showed that IL-6 can be used as a possible “thrombotic cytokine marker”. Higher values of IL-6 (≥40 pg/mL) are associated with more deaths, ICU admissions, and ventilator requirement.
The Use of Virtual-Problem-Based Learning during COVID-19 Pandemic Emergency: Veterinary Students’ Perception
Authors: Micieli Fabiana , Valle Giovanni Della , Del Prete Chiara , Ciaramella Paolo , Guccione Jacopo
Published: October 2022

The COVID-19 global pandemic emergency forced us to replace the “traditional and in presence” clinical, pre-graduating, veterinary medical training with clinical virtual-problem-based learning (v-PBL). This prospective cross-sectional case-control study aimed to evaluate the students’ perception of the v-PBLs compared to the traditional veterinary clinical training (t-VCT). The t-VCT consisted of supervised management of clinical cases admitted at the Veterinary Teaching Hospital and in the field. The v-PBL consisted of genuine clinical cases shared by tutors throughout an online platform. A survey was delivered to all the fifth-year students who completed the t-VCT or the v-PBL. The survey was completed by 49% of the students. Overall student satisfaction regarding the training experiences was high in both groups, but it was less in the v-PBL than in the t-VCT group. The students of the v-PBL group perceived that they could not improve their practical clinical skills through online sessions, and they emphasized how it could be employed as support for traditional practical activities. All the students are satisfied with the supervision and considered the training correctly focused on relevant learning objectives and the task clearly explained. Stimulating the integration of knowledge and lifelong learning skills replicating life experiences the v-PBLs represented an attractive curricular alternative for veterinary education.
Etnobotánica cuantitativa de las plantas medicinales en el cantón Penipe, provincia de Chimborazo, Ecuador
Authors: Bravo-Sánchez Luis Ramón , Bermúdez-del Sol Abdel , Gallegos-Cobo Andrés Eduardo , Sánchez-Mancero Juan Gabriel , Andi-Grefa Dixon Domingo
Published: October 2022

La naturaleza y las culturas ancestrales ofrecen alternativas para el cuidado de la salud, las plantas medicinales contribuyen con la salud de las comunidades, el conocimiento sobre su uso puede perderse con el tiempo. El objetivo fue recuperar el conocimiento ancestral sobre el uso de las plantas medicinales, para preservarlo como alternativa al cuidado de la salud. Se realizó un estudio observacional, descriptivo, transversal, a través de entrevistas etnobotánicas a 117 informantes clave. Se identificaron 57 especies de plantas medicinales de 30 familias, las más representadas fueron Asteraceae, Lamiaceae y Solanaceae. Las plantas con uso igual o superior al 20% fueron Matricaria chamomilla (28,20%), Eucalyptus globulus (25,64%), Urtica urens (23,93%), Malva alcea (23,08%), Aerva sanguinolenta (22,22%), Bidens andicola (20,51%) y Chuquiraga jussieui (20,51%). Las partes más usadas fueron las hojas (48%) y la preparación fue la infusión (60%). Las enfermedades más tratadas con plantas medicinales fueron las gastrointestinales (22,60%), respiratorias (16%) y genitourinarias (11,3%). La familia más utilizada fue Asteraceae y las especies con mayor uso fueron M. chamomilla y E. globulus. Se comprobó que el uso de las plantas medicinales proviene del conocimiento ancestral de las familias y, por tanto, es autóctono del Cantón Penipe.
OPTIMIZATION OF THE TRAJECTORY OF SENSORS MOTION TAKING INTO ACCOUNT THE IMPORTANCE OF THE AREAS OF THE MONITORING AREA SEGMENTS AND THE PROBABILITY OF DETECTION OF OBJECTS
Authors:   Taras Shevchenko National University of Kyiv, Petrivskyi Volodymyr , Petrivskyi Yaroslav ,   Rivne State University of the Humanities, Shevchenko Viktor ,   Taras Shevchenko National University of Kyiv, Sinitsyn Igor ,   Institute of Software Systems of National Academy of Sciences of Ukraine
Published: October 2022

Due to the widespread use of sensors in data collection and processing, one of the key criteria is the amount of information accumulated and energy efficiency. While monitoring the territory, the movement of research objects is common. As a result there is a change in the probability of their detection in the segment of the territory. Also, segments may be of varying importance. Taking these factors into account will significantly increase the amount of information accumulated. The article presents a method of constructing the optimal trajectory of sensors motion taking into account the importance of territory segments and the probability of detection of objects. The method is based on the representation of distribution of the probability of detection of objects and the importance of territory segments in the form of layers and their integration into a layer of the probable value of detected objects. Seven classes of the probable value of detected objects with corresponding numerical and graphical equivalents are considered. As optimal trajectory of sensors motion the trajectory which provides minimum energy expenditure is meant. Energy efficiency is achieved by constructing a trajectory of minimum length as a solution to the salesman’s problem. The set of points at which the trajectory is built is formed on the basis of the layer of the probable value of the detected objects after the procedure of replacing the nodes. A separate node replacement class, or superposition of node replacement classes, is proposed for each class of probable value of detected objects. Replacement of five, three and two nodes is described. A genetic algorithm with modification of crossing and selection rules was used to find a solution to this problem. A set of trajectories is constructed using the proposed algorithm. The analysis of the obtained results confirmed the efficiency of the developed method and allowed to increase the energy efficiency when covering a given area by 76 %.
Pertumbuhan Ekonomi Sumatra Barat Ditinjau dari Pendapatan Asli Daerah dan Dana Alokasi Umum dengan belanja Daerah sebagai Pemediasi
Authors: Rhamedia Hartika
Published: October 2022

Penelitian ini bertujuan untuk mengetahui pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum terhadap Pertumbuhan Ekonomi dengan Belanja Daerah sebagai variabel intervening di pemerintahan kabupaten / kota Provinsi Sumatera Barat. Jenis data yang dikumpulkan merupakan data sekunder yang diperoleh dari website BPS. Jumlah sampel yang digunakan sebanyak 95 dari daerah Kabupaten/Kota di Provinsi Sumatera Barat. Metode analisis data dan pengujian hipotesis menggunakan analisis statistik deskriptif, analisis regresi jalur. Hasil penelitian ini menunjukkan bahwa Pendapatan Asli Daerah (PAD), berpengaruh signifikan terhadap Belanja Daerah (BD) pada Provinsi Sumatera Barat. Dana Alokasi Umum (DAU), berpengaruh signifikan terhadap Belanja Daerah (BD) pada Provinsi Sumatera. Pendapatan Asli Daerah (PAD berpengaruh signifikan terhadap Pertumbuhan Ekonomi (PDRB) pada Provinsi Sumatera Barat. Dana Alokasi Umum (DAU), berpengaruh signifikan terhadap Pertumbuhan Ekonomi (PDRB) pada Provinsi Sumatera Barat. Belanja Daerah (BD) berpengaruh signifikan terhadap Pertumbuhan Ekonomi (PDRB) pada Provinsi Sumatera Barat. Pendapatan Asli Daerah (PAD), berpengaruh signifikan terhadap Pertumbuhan Ekonomi (PDRB) melalui Belanja Daerah (BD) sebagai Variabel Intervening pada Provinsi Sumatera. Dana Alokasi Umum (DAU), tidak signifikan  terhadap Pertumbuhan Ekonomi (PDRB) melalui Belanja Daerah (BD) sebagai Variabel Intervening pada Provinsi Sumatera Barat Tahun Anggaran 2017-2021.
Doğrusal Olmayan Analiz Yöntemi ile Belirlenen Sıvılaşma Riskinin Coğrafi Bilgi Sistemleri Kullanılarak Haritalanması: Kütahya Örneği
Authors: ZORLUER İsmail , KABAK Sinan , GÜCEK Süleyman
Published: October 2022

Liquefaction risk maps were created in Lala Hüseyin Paşa, Gaybiefendi and Meydan neighborhoods in Kütahya city center. A total of 112 boreholes were investigated by helping the SPT results (Standard Penetration Test) and soil parameters. Matasovic/Vucetic or Dobry/Matasovic model was used in the analyzes according to soil class. For analyzes, 11 earthquake were determined. The determined earthquakes were scaled with the Peak Ground Acceleration (PGA) of the neighborhoods and 44 earthquake data were found. Every borehole was analyzed with these 44 earthquake data in the Deepsoil 6.1 program and liquefaction risk maps were created. The average liquefaction risk data for neighborhoods were created by averaging the results obtained. The liquefaction data found show different results for earthquake levels. Liquefaction analysis results according to Earthquake Level-2 (DD-2), which the regulation accepts as a design earthquake; The average liquefaction risk was calculated as 23% in Lala Hüseyin Paşa neighborhood, 40% in Gaybiefendi neighborhood and 35% in Meydan neighborhood. While the highest risk of liquefaction occurred in the Meydan district with 68% according to DD1, the lowest risk was calculated in Lala Hüseyin Paşa District as 3% according to DD4. The liquefaction maps created can enable the necessary precautions to be taken for the construction in the neighborhoods.
Suitable Site Selection for Landfill with the Integration of Geographic Information Systems (GIS) and Fuzzy Analytical Hierarchy Process (FAHP) Methods in Nevşehir
Authors: BİLGİLİOĞLU Süleyman Sefa , GEZGİN Cemil
Published: October 2022

Landfilling is the most ordinary technique used for the disposal of solid waste. Solid waste management is an essential section of city planning due to its immense effect on the economy, ecology and environment of the region. With the increase in urbanization and the desire to live in cities, more waste is produced and unfortunately the waste problem is getting worse rapidly. In this context, the construction of new repository areas in an optimal location is one of the most essential issues of solid waste management. The suitability of a landfill site is often a complex process and relies on various criteria and regulations, due to the simultaneous effects of social, environmental and technical criteria. Geographic Information Systems (GIS)-based Multi-Criteria Decision Making (MCDM) is an important method for decision makers in solving spatial problems such as appropriate site selection. In this study, Fuzzy Analytical Hierarchy Process (FAHP), one of the GIS and MCDM methods, were used in order to select the appropriate site for the solid waste landfill in Nevşehir province. For this purpose, exclusion and evaluation criteria were determined by conducting literature studies and taking expert opinions. By calculating the criterion importance levels with FAHP, a suitability map was produced for the solid waste landfill and up to nine areas were found suitable for storage.
Modelo renta-gasto. Curva IS ¿Cómo afecta una política expansiva a la curva IS? (versión subtitulada)
Authors: Sánchez-Rivas García Javier , Pablo-Romero Gil-Delgado María del Pópulo , Molina Toucedo José Antonio , Expósito García Alfonso , Gómez-Calero Valdés María Palma
Published: October 2022

Explicación macroeconómica del modelo de la Curva IS adaptado las disfunciones auditivas del alumnado.

Animación didáctica que trata sobre el modelo renta - gasto, sobre cómo afecta una política expansiva a la curva IS, explicando paso a paso, los gráficos necesarios, para construir el citado modelo.

Dentro de las tecnologías multimedia, el uso de vídeos (como material de enseñanza) ha atraído la atención de los docentes debido a sus beneficios para el aprendizaje, tanto en términos de atención como de motivación de los estudiantes (Almobarraz, 2018; Brecht, 2012;Orús et al., 2016; entre otros). Entre los beneficios del aprendizaje, la literatura existente resalta los siguientes: 1) permite un proceso de aprendizaje más flexible temporal y espacial; 2) representa un ahorro en costes y tiempo tanto para los
estudiantes como para las instituciones educativas; 3) mejora la autonomía del estudiante en el proceso de aprendizaje; y 4) promueve el aprendizaje colaborativo y bajo demanda.

Actualmente se está realizando un testeo con el alumnado con disfunciones auditivas de la Asignatura de Economía II del Grado de Turismo que culminará con una comparativa de las notas en el curso anterior a la puesta a disposición del mismo del material preparado. Se espera que las calificaciones sean superiores con el uso de este vídeo.
Historia de Doñana
Authors: Díaz Antunes-Barradas María Cruz , Serrano Martín Laura , Zunzunegui González María , Álvarez Cansino Leonor , Gallego Fernández Juan Bautista , Jáuregui Arana Juan , Muñoz Reinoso José Carlos
Published: October 2022

En este video se describe la historia del territorio de Doñana a lo largo de los últimos 100.000 años, enumerando los cambios en el paisaje, los acontecimientos históricos más relevantes y como estos acontecimientos históricos han conducido a cambios en la gestión del territorio y en los paisajes. El video termina con la creación del Parque Nacional. Se destaca el papel de la Estación Biológica de Doñana y del Departamento de Ecología de la Universidad de Sevilla en el conocimiento científico y en la conservación de Doñana.

La aplicación de este recurso es fundamentalmente educativa y está centrada como apoyo didáctico a la excursión a Doñana que se realiza en la asignatura EcoI del grado de Biología.

La Ecología es una ciencia experimental que trata de conocer el funcionamiento de la naturaleza a través de las interacciones de los organismos y el medio físico. El hombre ha ido cambiando los ecosistemas a lo largo de los siglos, con el fin de obtener los recursos necesarios.
El área de Doñana está situada en un territorio marginal, entre las arenas y la marisma, donde los recursos son escasos lo que ha determinado una lucha constante para la supervivencia.
Propiedad durante muchos siglos de la Casa Ducal de Medina Sidonia, Doñana fue utilizada fundamentalmente como área de cazadero de los nobles desde el siglo XIV hasta el siglo XVII, pero los acontecimientos políticos llevaron a una transformación importante del territorio.
Ya en el siglo XX las amenazas sobre Doñana eran enormes y en el video se destaca la gran lucha por la conservación hasta la creación del Parque Nacional.
Equilibrio monetario (versión subtitulada)
Authors: Sánchez-Rivas García Javier , Pablo-Romero Gil-Delgado María del Pópulo , Molina Toucedo José Antonio , Expósito García Alfonso , Gómez-Calero Valdés María Palma
Published: October 2022

Explicación macroeconómica del modelo IS-LM en su equilibrio simultáneo adaptado las disfunciones auditivas del alumnado.

Animación didáctica que trata sobre el equilibrio simultáneo del mercado de bienes y dinero, explicando, paso a paso, los gráficos necesarios para construir el citado equilibrio.

Dentro de las tecnologías multimedia, el uso de vídeos (como material de enseñanza) ha atraído la atención de los docentes debido a sus beneficios para el aprendizaje, tanto en términos de atención como de motivación de los estudiantes (Almobarraz, 2018; Brecht, 2012;Orús et al., 2016; entre otros). Entre los beneficios del aprendizaje, la literatura existente resalta los siguientes: 1) permite un proceso de aprendizaje más flexible temporal y espacial; 2) representa un ahorro en costes y tiempo tanto para los estudiantes como para las instituciones educativas; 3) mejora la autonomía del
estudiante en el proceso de aprendizaje; y 4) promueve el aprendizaje colaborativo y bajo demanda.

Actualmente se está realizando un testeo con el alumnado con disfunciones auditivas de la Asignatura de Economía II del Grado de Turismo que culminará con una comparativa de las notas en el curso anterior a la puesta a disposición del mismo del material preparado. Se espera que las calificaciones sean superiores con el uso de este vídeo.
DAMPAK MIGRASI TERHADAP KONDISI SOSIAL EKONOMI PENDUDUK SEBAGAI PEKERJA MIGRAN INDONESIA
Authors: Soinbala Yerahmeel , Samin Mikael , H. N. Mari Natalia Adel
Published: October 2022

This study aims to: (1) Determine the factors driving the villagers of Nunkolo to choose migration abroad (2) Examine the impact of migration village Nunkolo the socioeconomic conditions in the village Nunkolo District of Nunkolo South Central Timor. The research was conducted in Nunkolo Village, Nunkolo District, South Central Timor Regency using qualitative research methods. Data collection techniques using interviews, documentation, and triangulation using several stages of analysis and qualitative, namely data collection, data reduction, data presentation, and concluding. The results of this study indicate that the push and pull factors of a person choosing to migrate abroad as Indonesian migrant workers are due to information from previous PMIs, limited living needs in the area of ​​origin, lack of employment opportunities in the area of ​​origin, ease of job opportunities in the destination area and the size of the workforce. wages in the destination area. The existence of migration that occurred in Nunkolo Village, Nunkolo Sub-district, had a socio-economic impact in the form of the condition of the house being owned, which was the house itself with the physical condition of the permanent building. Meanwhile, the education level of children from ex-migrant families is only limited to secondary education or equivalent to high school. The type of work of former migrants after returning to their area of ​​origin is in the form of medium and low category jobs. The income earned by former migrants after migrating has increased compared to before. Family expenses also increased for food consumption such as rice, vegetables, tea, coffee, sugar, oil, kitchen spices, and others, while expenses for non-food consumption such as electricity, transportation, and paying for children's education.
DAMPAK PENAMBANGAN PASIR TRADISIONAL TERHADAP LINGKUNGAN DI KAWASAN KAKI GUNUNG POCO NDEKI WOLOKOLO KELURAHAN KOTA NDORA KECAMATAN BORONG KABUPATEN MANGGARAI TIMUR
Authors: Mbas Odilia , Wulakada Hamza Huri , Hasan Muhammad Husain
Published: October 2022

This study aims to: (1) identify the factors that influence erosion at the foot of Mount Poco Ndeki Wolokolo, Ndora City, Borong District; (2) Identify the level of erosion hazard using the USLE formula at the foot of Mount Poco Ndeki Wolokolo, Kelurahan Kota Ndora, Kecamatan Borong; (3) identify mitigation strategies in the traditional sand mining area at the foot of the Poco Ndeki mountain, Ndora City Village, Borong District. This study uses a quantitative method with sampling technique using a sampling area so that the ex-mining area is obtained which has an erosion rate of 71.0138 tons/ha/year classified as moderate erosion level. Data sources consist of primary data and secondary data collected using field observations, documentation, and measurements. Then the data is reprocessed into field data by paying attention to library sources and map overlays. The results of the field research show that: (1) the erosion factors in the research location greatly affect the physical condition of the soil condition in the ex-mining area, these factors include: rain erodibility, soil erodibility, slope length, slope slope, land cover vegetation, and land conservation. ; (2) the level of erosion hazard obtained from the estimation using the USLE formula is classified as moderate erosion rate according to the decision of the director-general of reforestation and rehabilitation No. 041/Kpst/V/1998; (3) the mitigation strategy that must be carried out on the land is conservation efforts through agroforestry methods or forest farming systems.