bluuebunny/crossref_metadata_2025 huggingface dataset:
META3.1exp: a new global mesoscale eddy trajectory atlas derived from altimetry
Authors: Pegliasco Cori , Delepoulle Antoine , Mason Evan , Morrow Rosemary , Faugère Yannice , Dibarboure Gérald
Published: March 2022

Abstract. This paper presents the new global Mesoscale Eddy Trajectory Atlases (META3.1exp DT all-satellites, https://doi.org/10.24400/527896/a01-2021.001,
Pegliasco et al., 2021a; and META3.1exp DT two-satellites, https://doi.org/10.24400/527896/a01-2021.002, Pegliasco et al., 2021b), composed of eddy identifications and trajectories produced with altimetric maps. The detection method used is inherited from the py-eddy-tracker (PET) algorithm developed by Mason et al. (2014), and is optimized to efficiently manage large datasets, and thus long time series. These products are an improvement on the earlier META2.0 product, which was produced by SSALTO/DUACS and distributed by AVISO+ (https://aviso.altimetry.fr, last access: 8 March 2022) with support from CNES, in collaboration with Oregon State University and support from NASA, and based on the Chelton et al. (2011) code. META3.1exp provides supplementary eddy information, such as eddy shapes, eddy edges, maximum speed contours, and mean eddy speed profiles from the center to the periphery. The tracking algorithm is based on overlapping contours, includes virtual observations, and acts as a filter with respect to the shortest trajectories. The absolute dynamic topography (ADT) field is now used for eddy detection, instead of the previous sea level anomaly (SLA) maps, in order to better represent the dynamics in the more energetic oceanic regions and in the vicinity of coasts and islands. To evaluate the impact of the changes from META2.0 to META3.1exp, a comparison methodology has been applied. The similarity coefficient (SC) is based on the ratio of the eddy overlaps to their cumulative area, and allows for extensive comparison of the different datasets in terms of geographic distribution, statistics on the main physical characteristics, changes in the lifetimes of the trajectories, etc. After evaluating the impact of each change separately, we conclude that the major differences between META3.1exp and META2.0 are due to the change in the detection algorithm. META3.1exp contains smaller eddies and trajectories lasting at least 10 d; these were not available in the META2.0 product. Nevertheless, 55 % of the structures in META2.0 are similar to META3.1exp, thereby ensuring continuity between the two products and their physical characteristics. Geographically, the eddy distributions differ mainly in the strong current regions, where the mean dynamic topography (MDT) gradients are sharp. The additional information on the eddy contours allows for more accurate collocation of mesoscale structures with data from other sources, and so META3.1exp is recommended for multi-disciplinary application.
IBI-CCS: a regional high-resolution model to simulate sea level in western Europe
Authors: Chaigneau Alisée A. , Reffray Guillaume , Voldoire Aurore , Melet Angélique
Published: March 2022

Abstract. Projections of coastal sea level (SL) changes are of
great interest for coastal risk assessment and decision making. SL
projections are typically produced using global climate models (GCMs), which
cannot fully resolve SL changes at the coast due to their coarse resolution
and lack of representation of some relevant processes (tides, atmospheric
surface pressure forcing, waves). To overcome these limitations and refine
projections at regional scales, GCMs can be dynamically downscaled through
the implementation of a high-resolution regional climate model (RCM). In
this study, we developed the IBI-CCS (Iberian–Biscay–Ireland Climate Change
Scenarios) regional ocean model based on a 1/12∘ northeastern
Atlantic Nucleus for European Modelling of the Ocean (NEMO) model configuration to dynamically downscale
CNRM-CM6-1-HR, a GCM with a 1/4∘ resolution ocean
model component participating in the sixth phase of the Coupled Model Intercomparison Project (CMIP6) by the Centre National de Recherches
Météorologiques (CNRM). For a more complete representation of the
processes driving coastal SL changes, tides and atmospheric surface pressure
forcing are explicitly resolved in IBI-CCS in addition to the ocean general
circulation. To limit the propagation of climate drifts and biases from the
GCM into the regional simulations, several corrections are applied to the
GCM fields used to force the RCM. The regional simulations are performed
over the 1950 to 2100 period for two climate change scenarios (SSP1-2.6 and
SSP5-8.5). To validate the dynamical downscaling method, the RCM and GCM
simulations are compared to reanalyses and observations over the 1993–2014
period for a selection of ocean variables including SL. Results indicate
that large-scale performance of IBI-CCS is better than that of the GCM
thanks to the corrections applied to the RCM. Extreme SLs are also
satisfactorily represented in the IBI-CCS historical simulation. Comparison
of the RCM and GCM 21st century projections shows a limited impact of
increased resolution (1/4 to 1/12∘) on SL changes.
Overall, bias corrections have a moderate impact on projected coastal SL
changes, except in the Mediterranean Sea, where GCM biases were substantial.
Improved CASA model based on satellite remote sensing data: Simulating net primary productivity of Qinghai Lake Basin alpine grassland
Authors: Wu Chengyong , Chen Kelong , E Chongyi , You Xiaoni , He Dongcai , Hu Liangbai , Liu Baokang , Wang Runke , Shi Yaya , Li Chengxiu , Liu Fumei
Published: March 2022

Abstract. The Carnegie-Ames-Stanford Approach (CASA) model is widely used to estimate vegetation net primary productivity (NPP) at regional scale. However, the CASA is still driven by multi-source data, e.g. satellite remote sensing (RS) data, and ground observations that are time-consuming to obtain. RS data, can conveniently provide real-time surface information at the regional scale, thus replacing ground observation data to drive CASA model. We attempted to improve the CASA model in this study using DEM data derived from radar RS and RS products data generated from Moderate Resolution Imaging Spectroradiometer satellite sensor. We applied it to simulate the NPP of alpine grasslands in Qinghai Lake Basin, which is located in the northeastern Qinghai-Tibetan Plateau, China. The accuracy of the RS data driven CASA, with mean absolute percent error (MAPE) of 23.32 % and root mean square error (RMSE) of 26.26 g C•m-2•month-1, was higher than that of the multi-source data driven CASA, with MAPE of 49.08 % and RMSE of 65.21 g C•m-2•month-1. The NPP simulated by RS data driven CASA in July 2020 shows an average value of 110.17 ± 26.25 g C•m-2•month-1, which is similar to published results and comparable with the measured NPP. The results of this work indicate that simulating alpine grassland NPP with satellite RS data rather than ground observations is feasible. We may provide a workable reference for rapidly simulating grassland, farmland, forest, and other vegetation NPP to satisfy the requirements of precision agriculture, precision livestock farming, accounting carbon stocks, and other applications.
Numerical modeling of physical and biochemical processes in the subsurface and their impacts on the self-potential signature
Authors: Liu Xin , Zhang Zengyu , Furman Alex
Published: March 2022

Abstract. Subsurface contamination is a significant problem due to excessive fertigation and industrial and domestic wastewater discharge. With numerical modeling and geophysical tool development, subsurface contaminant research has become easier to implement and study. However, there is still a gap in coupling the biochemical processes and geophysical signals. Such a coupling model is needed to facilitate understanding subsurface processes and provide further theoretical basis to practice and field monitoring. Thus, this research aims to simulate the self-potential (SP) signature in response to physical and biochemical dynamics in the subsurface. For the physico-bio-chemical model, the processes of water flow, solute transport, biochemical reactions, microbial dynamics, adsorption, and gas flow are considered. Specifically, the biochemical cycles related to C, N, Mn, Fe, and S are incorporated in the model. The physico-bio-chemical model is then coupled with the SP model. The SP model is addressed by Poisson’s continuity equation, based on streaming and redox potential contribution. The streaming potential is calculated by the effective excess charge density and the water flow velocity, while the Butler-Volmer equation solves the redox potential. The results show that redox processes dominate the SP signals. Oxygen and nitrate concentrations present positive relationships with redox potential and dominate the redox potential in the oxic and anoxic environment, respectively. Nitrification and dissolved organic carbon (DOC) aerobic oxidation rates show positive relationships with redox potential. In contrast, the denitrification rate presents a negative relationship. The higher reaction rates for different redox processes also correspond to their optimal redox potential ranges. The streaming potential affected by water content and flux contributes little to SP, and the negative values along with soil depth become less remarkable. Generally, the SP and redox potential model can better reflect redox species concentrations and reaction rates, while the streaming potential model can reflect the water content and flux dynamics. Thus, the research can guide the detection of redox-sensitive contamination and water leakage in the subsurface.
Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index
Authors: Reyniers Nele , Osborn Timothy J. , Addor Nans , Darch Geoff
Published: March 2022

Abstract. Droughts cause enormous ecological, economical and societal damage, and are already undergoing changes due to anthropogenic climate change. Understanding, anticipating and communicating these changes is essential to a wide range of stakeholders. In this study, the projected impacts of climate change on future atmospheric droughts in Great Britain were assessed for two warming levels (2 °C and 4 °C above pre-industrial levels) using the UKCP18 regional climate projections. As projected changes can be very sensitive to the choice of drought index, two indices were compared: the Standardized Precipitation Index (SPI), and the Standardized Precipitation Evapotranspiration Index (SPEI, which unlike the SPI, accounts for increasing potential evapotranspiration). The SPI and SPEI were used to quantify drought frequency, extent and duration of all droughts and of only extreme droughts. To provide context, aridity and seasonal precipitation and potential evapotranspiration changes were also assessed, as well as seasonal contributions to dryness at a yearly time scale. The UKCP18 regional simulations project (strongly) increasing drought frequency and extent due to climate change based on the SP(E)I almost everywhere in Great Britain. Importantly, the relative increase in frequency and extent is much more pronounced for extreme droughts than for more moderate droughts. Increasing longer-term dry conditions can be attributed mostly to more frequent dry and extremely dry summers, for which normal to wet winters are decreasingly able to compensate (even where winters are projected to become wetter). In general, using the SPEI results in far greater increases in drought frequency and extent than using the SPI. These differences are so substantive that at +2 °C the SPEI6-based projected changes reach a similar magnitude to the SPI6-based changes at +4 °C. Finally, projected changes in the distribution of drought durations depend on the drought index, region and warming level. These results illustrate that the choice of atmospheric drought index can have a decisive influence on changes in projected drought characteristics, and therefore users of these indices should be aware of the importance of potential evapotranspiration in their intended context when choosing a drought index. The stark differences between SPI- and SPEI-based projections highlight the need to understand the interplay between increasing atmospheric evaporative demand and moisture availability under a changing climate.
A random forest model to assess snow instability from simulated snow stratigraphy
Authors: Mayer Stephanie , van Herwijnen Alec , Techel Frank , Schweizer Jürg
Published: March 2022

Abstract. Modeled snow stratigraphy and instability data are a promising source of information for avalanche forecasting. While instability indices describing the mechanical processes of dry-snow avalanche release have been implemented into snow cover models, there exists no readily applicable method that combines these metrics to predict snow instability. We therefore trained a random forest (RF) classification model to assess snow instability from snow stratigraphy simulated with SNOWPACK. To do so, we manually compared 742 observed snow profiles with their simulated counterparts to select the simulated weak layer corresponding to the observed rutschblock failure layer. We then used the observed stability test result and an estimate of the local avalanche danger to construct a binary target variable (stable vs. unstable) and considered 34 features describing the simulated weak layer and the overlying slab as potential explanatory variables. The final RF classifier aggregates six of these features into the output probability Punstable, corresponding to the mean vote of an ensemble of 400 classification trees. Although the training data only consisted of 146 manual profiles labeled as either unstable or stable, the model classified profiles from an independent validation data set with high reliability (accuracy: 88 %, precision: 96 %, recall: 85 %) using manually predefined weak layers. Model performance was even higher (accuracy: 93 %, precision: 96 %, recall: 92 %), when the weakest layers of the profiles were identified with the maximum of Punstable. Finally, we compared model predictions to observed avalanche activity in the region of Davos for five winter seasons. In 73 % of the days, our model correctly discriminated between avalanche days and non-avalanche days. Overall, the results of our RF classification are very encouraging, suggesting it could be of great value for operational avalanche forecasting.
Large discrepancies in the representation of compound long-duration dry and hot spells over Europe in CMIP5
Authors: Manning Colin , Bevacqua Emanuele , Widmann Martin , Maraun Douglas , Van Loon Anne F.
Published: March 2022

Abstract. Long-duration dry spells in combination with temperature extremes during summer have led to extreme impacts on society and ecosystems in the past. Such events are expected to become more frequent due to increasing temperatures as a result of anthropogenic climate change. However, there is little information on how long-duration dry and hot spells are represented in global climate models (GCMs). In this study, we evaluate 33 CMIP5 GCMs in their representation of long-duration dry spells and temperatures during dry spells. We define a dry spell as a consecutive number of days with daily precipitation less than 1mm. CMIP5 models tend to underestimate the persistence of dry spells in Northern Europe while a large variability exists between model estimates in Central and Southern Europe where models have contrasting biases. Our results indicate that this variability in model estimates is due to inherent model differences and not internal variability. In Northern Europe, differences in the representation of persistent dry spells are related to the representation of persistent anticyclonic conditions. We also find a large spread in the representation of temperature extremes during dry spells. In Central and Southern Europe this spread in temperature extremes between models is related to the representation of dry spells, where models that produce longer dry spells also produce higher temperatures, and vice versa. Overall, there are large discrepancies in the representation of long-duration dry and hot events in the CMIP5 ensemble where the simulated climates vary from models with shorter-cooler dry spells to models with longer-hotter dry spells. This information is important to consider when interpreting the plausibility of future projections from climate models.
Analisa Produktivitas Pada Divisi Produksi PT. XYZ Menggunakan Metode Objective Matrix (OMAX)
Authors: Syamsudin Syamsudin , Sucipto Eko Hadi , Sartika Hana
Published: March 2022

PT. XYZ is a company engaged in the fabrication industry. Based on data in 2018 and 2019 this company has not been able to reach the predetermined production target. Another problem is the amount of resources used is not proportional to the results of production. The purpose of this study is to measure the level of productivity of the Production Division. The method used is the Objective Matrix (OMAX) method. Determination of the weight of each ratio using the AHP method. The second objective is to determine the proposed improvement using a traffic light system, Pareto diagram, cause-effect diagram, and 5W + 1H. The measurement criteria are the use of steel plates, electricity consumption, welding wire, time to repair, normal working hours, overtime and the number of workers. Based on the measurement results using the OMAX method, it is known that there is a decrease in the level of productivity to below the standard productivity level, namely in January of -0.171, March of -0.03, July of -0.15 and December of -0.29. The productivity level that was above the standard productivity level occurred in February of 0.37, May of 1.80, June of 0.10, August of 0.32, September of 1.096, October of 1.82, November of 0.01 , with a traffic light system and Pareto diagram, improvements were made to the welding wire consumption performance.
Development and Evaluation of a Research Methods Course in Protocol Writing for Learners in a Master of Public Health Program
Authors: Anderson Laura , Neil-Sztramko Sarah E , Alvarez Elizabeth , Jack Susan M , Thabane Lehana , Scott Fran , Apatu Emma
Published: March 2022

Training in research methods is important for improvement of healthcare delivery and population outcomes. Graduate programs of public health play a critical role in offering such education to current and future healthcare professionals as well as entry level learners with no experience in the field. A key skill across all fields of research methods and public health practice is protocol writing. It is unknown if teaching students research methods through protocol writing is a successful strategy and whether students find it to be helpful as they pursue health professions. The objective of this study was to describe the design and evaluation of a research methods course focused on protocol writing among students enrolled a Masters of Public Health Program. A case report design including description of course content, method of evaluation, and course delivery are provided. The setting was the Population and Public Health Research Methods course at a publicly funded institution in Canada. The first three cohorts of students (2016-2018) enrolled in the course were evaluated during the course period and six months after completing the course. A total of 51 students completed the survey, and the majority were students were very or extremely satisfied with the course. Overall students expressed that the course well-prepared them for their practicum or thesis work and post-graduation plans. Findings suggest that using protocol writing as a tool for teaching research methods was well-received by students and prepared them for both their potential career paths and for future research.
Does Self-directed Learning Readiness Predict Undergraduate Students’ Instructional Preferences?
Authors: Justus Brandon J. , Rusticus Shayna A. , Stobbe Brittney L. P.
Published: March 2022

Self-directed learning is a process by which students take the lead, with or without the help of others, in determining their learning needs and managing their learning strategies and outcomes. Relatedly, self-directed learning readiness (SDLR) looks at the attitudes, abilities, and personality characteristics necessary for self-directed learning. In study one, we shortened, and slightly modified, the SDLR scale (Fisher et al., 2001) to make it more applicable for broader use among undergraduate university students and to examine its factor structure and reliability. In a sample of 194 students, the three-factor structure of this scale (self-management, desire to learn, and self-control) was confirmed with acceptable reliability. In study two, we examined whether the modified SDLR subscales predicted a preference for a teacher-directed or student-directed class format in a sample of 256 undergraduate students. We conducted a series of four multiple linear regressions to examine whether the three dimensions of SDLR were predictive of four classroom preference styles (knowledge construction, teacher direction, cooperative learning, and passive learning). While three of these analyses were statistically significant with small to medium-effect sizes, the results minimally supported our hypotheses. We discuss whether these results indicate a lack of relationship between SDLR and teaching style or whether these results may be characteristic of the sample.
Falling Through the Cracks: Graduate Students’ Experiences of Mentoring Absence
Authors: Hall Wendy , Liva Sarah
Published: March 2022

Theory about how mentorship is supposed to work, its goals, and what “makes it work” is abundant. It is rarer to encounter empirical information about processes and implications when mentoring is a problem. Graduate students experience significant psychological, physical, financial, and relational challenges and likely have expectations about the ameliorating effects of mentorship. Limited qualitative literature has described graduate students’ perceptions about problems with mentorship and students’ outcomes. The descriptive qualitative study used secondary analysis to describe students’ perceptions of problematic mentorship. Graduate student research assistants conducted 12 recorded focus group interviews and transcribed them. The authors used inductive content analysis to develop themes. Fifty-four participants were recruited, including masters’ (n=19), PhD (n=34), and a graduate student not enrolled in a specific faculty (n=1). The students represented multiple disciplines. The major theme identified was “falling through the cracks.” The subthemes included missing mentorship, students’ difficulties accessing mentorship, university structures undermining mentoring, and damage to mentees. Falling through the cracks highlights students’ struggles with accessing mentorship, effects of missing mentorship, and students’ solutions for modifying structural features that inhibit mentoring. Quantitative work could compare psychological outcomes associated with present and missing mentoring.
Técnicas de manejo comportamental não farmacológicas na Odontopediatria
Authors: Silva Larissa de Oliveira , Araújo Wagner Simão , Lopes Monica Braga , Vale Michele Cristina Silva do , Lucio Sant’Ana Neto Antonio
Published: March 2022

A relação comportamental entre o paciente pediátrico, e o odontopediatra é descrita na literatura como potencialmente ansiogênica. As técnicas de manejo comportamental não farmacológicas, são instrumentos metodológicos, que possuem a capacidade de estabilizar, e prevenir o comportamento não colaborativo em pacientes infantis durante o atendimento odontológico. O objetivo deste trabalho foi, por meio de uma revisão de literatura discorrer sobre as técnicas de manejo comportamental não farmacológicas mais utilizadas na prática clínica da odontopediatria. Esta revisão bibliográfica da literatura avaliou artigos publicados de 2008 a 2022, relacionados ao manejo comportamental por meio de técnicas não farmacológicas em odontopediatria. Os artigos foram pesquisados nas bases de dados como a Pubmed, Bireme, SciELO, Google Scholar e LILACS. Após leitura inicial dos resumos, foram selecionados 27 artigos que foram lidos na integra e constituem o corpo bibliográfico desta revisão. Conclusão: As técnicas de manejo comportamental não farmacológicas, se mostram eficazes para estabilizar, e prevenir, comportamentos não colaborativos. Portanto, é indispensável que o odontopediatra possua conhecimento, e domínio dessas abordagens para sua assertiva aplicação, uma vez que, a escolha apropriada da técnica de manejo comportamental pode estimular um comportamento colaborativo do paciente, respaldando um possível melhor prognóstico no tratamento.
Efficacy and safety of filgotinib as induction and maintenance therapy for Japanese patients with moderately to severely active ulcerative colitis: a post-hoc analysis of the phase 2b/3 SELECTION trial
Authors: Hibi Toshifumi , Motoya Satoshi , Hisamatsu Tadakazu , Hirai Fumihito , Watanabe Kenji , Matsuoka Katsuyoshi , Saruta Masayuki , Kobayashi Taku , Feagan Brian G , Tasset Chantal , Besuyen Robin , Yun Chohee , Crans Gerald , Zhang Jie , Kondo Akira , Watanabe Mamoru
Published: March 2022

Background/Aims: The safety and efficacy of filgotinib, a once-daily oral Janus kinase 1 preferential inhibitor, were evaluated in Japanese patients with ulcerative colitis (UC) in the phase 2b/3 SELECTION trial.Methods: SELECTION (NCT02914522) was a randomized, placebo-controlled trial comprising 2 induction studies and a maintenance study. Adults with moderately to severely active UC were randomized in induction study A (biologic-naïve) or B (biologic-experienced) to receive filgotinib 200 mg, 100 mg, or placebo once daily for 11 weeks. Patients in clinical remission or Mayo Clinic score response at week 10 entered the 47-week maintenance study. Efficacy and safety outcomes were assessed in Japanese patients enrolled in Japan.Results: Overall, 37 and 72 Japanese patients were enrolled in Japan in induction studies A and B, respectively, and 54 entered the maintenance study. Numerically higher proportions of filgotinib 200 mg-treated than placebo-treated patients achieved clinical remission in induction study A (4/15 [26.7%] vs. 0/6 [0%]) and the maintenance study (5/20 [25.0%] vs. 0/9 [0%]), but not induction study B (1/29 [3.4%] vs. 1/14 [7.1%]). Both doses were well tolerated, and no new safety signals were noted. Herpes zoster was reported in 1 filgotinib 200 mg-treated patient in each of induction study A (2.3%, 1/44) and the maintenance study (5.0%, 1/20).Conclusions: These data, alongside those of the overall SELECTION population, suggest the potential of filgotinib 200 mg as a viable treatment option for Japanese patients with UC. Owing to small patient numbers, data should be interpreted cautiously.
The hypoglycemic and regenerative effect of the pancreas using instant porridge mix of pumpkin and brown rice flour on diabetic rats
Authors: Slamet Agus , Kanetro Bayu , Agus Setiyoko
Published: March 2022

Diabetes is a congenital disease resulting from inefficiencies in insulin production and activities. Instant porridge mixed with pumpkin and brown rice (instant porridge mix) can be a functional food to lower blood sugar. This study aimed to determine the hypoglycemic activity and the ability of instant porridge mix to regenerate pancreatic beta cells in diabetic rats. Diabetes was induced by Streptozotocin (STZ). Instant porridge mix was used to substitute the standard feed AIN-93 at 0, 10, 20, and 30% levels. The hypoglycemic activity test used 30 Sprague Dawley rats assigned to five groups with six each. The groups were (1) normal rats fed with standard feed AIN-93, (2) DM/diabetes mellitus rats fed with AIN 93 feed, (3) DM rats fed with 10% instant porridge mix, (4) DM rats fed with 20% instant porridge mix, and (5) DM rats fed with 30% instant porridge mix. The treatment was carried out for twenty-eight days, and blood sampling was carried out at seven-day intervals for blood analysis to determine glucose levels. At the end of the study, the levels of MDA (malondialdehyde) and blood glucose in the liver of the rats were also analyzed. A histopathology test was also done on the pancreas. The results showed that feed substitution (20%) with instant porridge mix significantly (p <0.05) reduced the level of blood glucose from 271.81 to 99.66 mg.dL-1 in DM rats. In conclusion, DM rats fed with 20% instant porridge mix were the best treatment for hypoglycemic and regenerative effects of the pancreas.
Designing Website Application as An Academic and Non-Academic Assistive Tool for Students with Slow Learner
Authors: Gumulya Devanny , Harijadi Kristian
Published: March 2022

The COVID-19 pandemic has resulted in PSBB (Large-Scale Social Restrictions) regulations that affect all aspects of life, one of which is the education sector. Changes in the education system that have occurred significantly have many schools and are not running smoothly. In this case, the percentage will be even greater for students with special needs, especially students who are included in Slow Learner. The purpose of this research is to innovate in the development of assistive technology, improve the learning experience for students with special needs.

The research result is a website application named Temaninklusi is a website application design proposal for lecture to create digital pictorial card as a additional learning material for Slow Learner at University level, as pictorial card has been proven as an effective tool to assist reading comprehension since early age. The website application also connects lecture, mentor and counselor to help slow learner adjusting their academic life.
Home Disinfection Chamber Design for COVID-19 Virus Prevention
Authors: Herrindra Rizki , Setiawan Sulistyo
Published: March 2022

During the 2019 Coronavirus disease (hereinafter referred to as “COVID-19”) pandemic in 2020, many human activities have become limited, such as shopping for daily necessities. As a result, humans need products that can help carry out their activities in the midst of a pandemic. This study discusses the process of designing a cleaning tool that can be used before entering the home environment to prevent the virus from being carried from items exposed to the outside environment. This research is motivated by the need for a cleaning tool that can prevent the spread of the COVID-19 virus from items brought from outside the home. The products that are cleaned include shoes, electronic devices, and groceries purchased either through independent or online purchases. The purpose of this research is to produce a chamber design that can clean groceries and consumables quickly without damaging the packaging or products to be cleaned. The resulting design has a novelty value that is offered, namely a goods cleaning system using steam that can clean products from COVID-19 droplets. There is a theoretical basis used in the research, namely the use of disinfectants and antiseptics as a way to prevent the COVID-19 virus in housing. The design objectives were achieved through an online literature study analysis process accompanied by interviews and proofing the feasibility of the tools used with the Double Diamond design method. At the end of the process, a design is produced in the form of a final sketch and a 3D model of the disinfectant equipment brought from outside the house.
Vegetable Waste Pellet Making Tool Design for Catfish Farmers
Authors: Aisy Laras , Aulia Wildan
Published: March 2022

There are two types of catfish feed, namely pellets and vegetable feed. Vegetable waste can be used as catfish feed because it still contains the nutrients needed by catfish. Processing vegetable waste into catfish feed consists of several processes, including sorting, washing, chopping, drying, mixing, and forming. Currently, vegetable feed is still made manually with simple tools so that it takes a long time to process, especially for small-scale catfish breeders. The existing pellet-processor is still on an industrial scale which is not suitable for small-scale catfish breeders. The data were obtained from field surveys and interviews. The data were analyzed through the research board analysis method. The results of the analysis become a flow scheme for making feed with the designed tools. The design process includes configuration studies, anthropometric and ergonomic studies, and physical form conducted through analytical prototyping methods. The success of the product is evaluated through a comparison of several variables related to product functions between existing products/tools and the designed product. The design results show an increase in the productivity of making pellets from vegetable waste but the washing and sorting process cannot be accommodated by the tool.
Voces sobre la investigación en la universidad. Opiniones y propuestas sobre una función sustantiva
Authors: Sánchez Carrasco María Joaquina , Soto Espinoza Yschel , Benítez Hernández María del Carmen , Victorino Ramírez Liberio , Victorino Beltrán Pável Rafael , Ferra López Eunice , Torres Carral Guillermo Arturo , Montaño Yáñez Liliana , Chávez Victorino Iván , Ruiz González Rosey Obet , Castillejos López Willelmira
Published: March 2022

Una de las funciones sustantiva de la Universidad Autónoma Chapingo es la investigación, entendida como la generación de nuevos conocimientos sobre problemas vinculados a la solución de grandes conflictos socioam­bientales, educativos y humanísticos en el medio rural mexicano. En este libro, valorando la diversidad de formaciones de los investigadores del Instituto de Investigaciones Socioambientales, Educativas y Humanísticas para el Medio Rural (IISEHMR) y de los enfoques en que trabajan, ofrecemos un abanico de miradas de lo que representa investigar. Se trata de un conjunto de ensayos en los que se ponen de relieve los ángulos de la investigación desde su propia organización dentro de la universidad, así como desde una tarea formativa. Se abordan temas como la educación, el lenguaje de la ciencia, la importancia de las redes temáticas de investigadores, los factores emocionales, la bioética, la gestión ambiental y la gestión del conocimiento.
A Higher Order Runge-Kutta Method for Solving System of Ordinary Differential Equations Using MS Excel
Authors: Shaikh Abdul Ghafoor
Published: March 2022

The differential equations, solved numerically, are often implemented on simulation and computational tools. This requires programming skills. Excel spreadsheet has been used frequently for statistical analysis, however it is rarely used for computation in mathematics, instead of having great usability and usefulness. It also easily enables a non-programmer to perform programming-like tasks in a visual tabular pen and paper approach. Many physical phenomena are modelled in terms of odes and PDEs, so solving these types of equations, by cooperative iterative methods, are very important there are several iterative methods. The Euler and Runge-Kutta are the most famous ones among the numerical methods for solving the differential equations as well as system(s) of the differential equation(s). Euler's method has slow convergence; therefore, methods of a higher order of accuracy are often needed. Since the iterative methods manually with pen-paper are quite tedious and laboring because it involves numerous repetitive calculations. The spreadsheet technique in Excel is in cooperated to solve the system of an ode by applying the RK5 methods, but one of the pitfalls of an excel spreadsheet is that it is limited containing less than 256 variables (columns) and 65536 records (rows).
PENGARUH MEREK, HARGA, FITUR PRODUK DAN GAYA HIDUP TERHADAP KEPUTUSAN PEMBELIAN SMARTPHONE XIOMI DI TOKO CENDANA CELL BANJARNEGARA
Authors: Setijadi Setijadi , Wijaya Wisnu Satria Kencana
Published: March 2022

ABSTRACT

This study aims to determine how much the brand, price, product features, and lifestyle variables affect the Xioami smartphone purchase decision at Cendana Cell Banjarnegara. The data used in this research were obtained from the results of distributing questionnaires to 154 respondents who used Xioami smartphone users in Cendana Cell Banjarnegara using the Non Probability Sampling method. The research data were analyzed using multiple linear regression analysis, the equation model was processed using SPSS for windows version 2.4. The results of this study are that the brand variable has no significant and negative relationship, followed by the price variable which has no significant effect and has a negative relationship. Meanwhile, product features and lifestyle have a significant and positive effect. Together, brand and price variables do not have a significant effect and are negatively related. Meanwhile, product features and lifestyle influence the decision to purchase Xioami smartphone at Cendana Cell in Banjarnegara.
ANALISIS KINERJA KEUANGAN PT. KIMIA FARMA TBK DENGAN PT. INDOFARMA TBK SEBELUM PANDEMI DAN PADA SAAT PANDEMI COVID-19
Authors: Kurniati Eling Ri , Nugroho Tryan Adhi
Published: March 2022

ABSTRACT

The Covid-19 pandemic has an impact on the economic sector which has resulted in companies experiencing a decline in financial performance. This study aims to determine whether there are differences in the financial performance of PT. Kimia Farma Tbk. and PT. Indofarma Tbk. before the pandemic and during the covid-19 pandemic. This type of research is quantitative research with secondary data analysis and uses a comparative approach method. Sampling with purposive sampling method. Data collection techniques used are documentation techniques on financial reports published by PT. Kimia Farma Tbk. and PT. Indofarma Tbk. obtained from the official website of the Indonesia Stock Exchange (IDX), namely www.idx.co.id. Then processed using the SPSS Version 16.0 application and the test used in this study is a comparative test, namely the Wilcoxon Sign Test. The results of this study indicate that there are significant differences in PT. Kimia Farma Tbk. based on liquidity ratios, solvency ratios, activity ratios and profitability ratios. As for PT. Indofarma Tbk. also the same, there are significant differences based on liquidity ratios, solvency ratios, activity ratios and profitability ratios. PT. Kimia Farma Tbk. has a better performance than PT. Indofarma Tbk. before the pandemic or during the pandemic.

Keywords: Financial Performance, Pharmaceutical Companies, Covid-19
Pengaruh Media Sosial, Aksebilitas, Fasilitas, Event Pariwisata, dan Daya Tarik Wisata Terhadap Minat Kunjung Wisatawan di Desa Wisata Pagak, Banjarnegara
Authors: Lustono Lustono , Permatasari Kartika Dewi
Published: March 2022

ABSTRACT

Tourism villages in Indonesia are currently experiencing fairly rapid development. Data from the BPS recorded that there were 1302 tourist villages in 2014, and this number increased to 1734 tourist villages in 2018. The Village Fund is basically to improve people's welfare, by 1) creating jobs, 2) overcoming inequality, and 3) alleviating poverty. In its use, the Village Fund is the authority of the Village, is participatory and through self-management based on village resources is utilized in accordance with the village typology. The purpose of this research is to examine the effect of social media, accessibility, facilities, tourism events, and tourist attractions on the interest of tourists visiting Pagak Tourism Village, Banjarnegara. The type of research in this study is to collect data using a questionnaire. The population used in this study were visitors who came to Pagak Tourism Village, Banjarnegara, using a sample of 100 respondents in this study. The sampling method in this study used a non-probability sampling technique with a purposive sampling method. The results of the research show that Social Media, Accessibility, Facilities, Tourism Events, and Tourist Attractions have a positive effect on Tourist Visiting Interest in Pagak Tourism Village, Banjarnegara.

 

Keywords: Social Media, Accessibility, Facilities, Tourism Events, Tourist Attractions, Tourists' Visiting Interest
Formulation and Evaluation of Interpenetrating Polymer Network Microparticles of Diclofenac Sodium
Authors: Mohan Arti , Ruba Priya Gnana
Published: March 2022

Diclofenac sodium, a model anti-inflammatory drug, has adverse effects like gastric irritation and hepatic toxicity. To overcome these problems Interpenetrating Polymer Network microparticles can be used as a controlled drug delivery system. Preparation of Interpenetrating Polymer Network microparticles using two or more polymer is a novel approach as the polymers produce synergistic effect which could increase the mechanical strength and resilience of the microparticles. The aim of the study was to prepare Interpenetrating Polymer Network microparticles of Diclofenac Sodium using chitosan and Ghatti gum which were used to deliver Diclofenac Sodium to the intestine. Microparticles prepared by emulsion-cross-linking method using gluteraldehyde as a cross-linker were characterized by Fourier Transform Infrared Spectroscopy, Differential scanning calorimetry, Scanning electron microscopy and evaluated for in vitro dissolution rate. Fourier Transform Infrared Spectroscopy studies confirmed the absence of chemical interactions between drug, polymers and cross-linking agent. Differential scanning calorimetric results indicated amorphous dispersion of Diclofenac Sodium into Interpenetrating Polymer Network matrix. Scanning electron microscopy pictures showed that microparticles did not agglomerate and had a rough surface. Hydrated surface after swelling showed spongy porous surface which indicated the mechanism of drug release as diffusion. Particle size ranged between 294 to 366 µm. DS percentage encapsulation efficiency ranged from 84.09 to 96.81%. In vitro release studies indicated a dependence of drug release rates on both the amount of CS and GG used in preparation of microparticles. The release was extended up to 12 h and release rates indicated a non-Fickian and super case II mechanism.
Formulation and Assessment of Quick dissolving tablet of Candesartan cilexetil arranged from their circular agglomerates
Authors: Patil Swapnil Shankar , Upadhye Shashikant Sudarshan
Published: March 2022

Candesartan cilexetil is water insoluble drug which comes under BCS class second category. Drug was used in the treatment of acute and chronic hypertension. The research workgenerally focuses on the solubility enhancement, increasing dissolution behavior, flowability and compressibility of the drug. Tablets and capsule are the solid dosage form mostly used. Spherical agglomerates of Candesartan cilexetil were prepared. Candesartan cilexetil water insoluble drug was used. With the incorporation of polymer, Agglomerates of such drug was prepared. Fast dissolving tablet was prepared and evaluated. Evaluation parameter like FTIR, DSC was carried out. Precompression parameters like bulk density, tap density, angle of repose, compressibility index was carried out. Post compression parameters like friability, hardness, thickness, disintegration time, wetting time was carried out and evaluated. Effect of different disintegrant like Crospovidone, cross carmellose sodium was studied. From in vitro study it was found that cross carmellose sodium containing batch F3 shows better drug release so it shows enhanced dissolution rate while if cross carmellose sodium level increases thus decreasing their dissolution rate.
Corrosion Inhibition of A9 Steel In 1M Hydrochloric Acid by the Antioxidant Compounds of Methanolique Extracts for two Varieties of Olive Leaves: Chemlal and Rougette
Authors: Radia Selaimia , Soraya Nigri , Rabah Oumeddour
Published: March 2022

This work is devoted to the corrosion inhibition of A9 steel in 1M hydrochloric acid HCl by the antioxidant compounds «polyphenol» of methanolique extracts for two varieties of olive leaves: Chemlal and Rougette (cultivated varieties). Two extraction methods are used for both varieties, the conventional method is maceration and the other one is ultrasound assisted method to give the best yield. The inhibitory effect was evolved by: gravimetric and electrochemical the methods. The thermodynamic parameters and the adsorption isotherm were evaluated to explain the mechanism of inhibition and the metal-inhibitor interactions. It has been found that the adsorption of the molecules of these products on the surface is made according to the Langmuir isotherm. The obtained values of the free energy of the adsorption show that these extracts are physisorbed on the steel.
Tres retos de la neurociencia para el Derecho penal
Authors: González Lagier Daniel
Published: March 2022

En este trabajo se discuten tres retos que la neurociencia plantea para el Derecho penal: El problema del libre albedrío, el de la reducción de los estados mentales a meros procesos neuronales y el de la reducción de la normatividad a una especie de leyes de la naturaleza. El autor reclama que para enfrentar estos retos se eludan actitudes reduccionistas que den la espalda a la dimensión natural o a la dimensión moral y social de la naturaleza humana.
Institucionalización de la razón y representación argumentativa
Authors: Ansuátegui Roig Francisco Javier
Published: March 2022

En este trabajo me propongo analizar los aspectos más relevantes de la propuesta de Robert Alexy en relación con la idea de representación argumentativa. Como elemento de contraste tomaré como referencia la crítica que Luigi Ferrajoli ha desarrollado en relación con las potencialidades representativas –y, por tanto, legitimadoras– de la argumentación. Con ello podremos reflexionar no sólo sobre las tensiones internas al modelo jurídico-político del constitucionalismo sino también sobre las divergencias entre distintas interpretaciones doctrinales del modelo constitucionalista.
IV Congreso Internacional "El tiempo de los derechos" Universidad Carlos III de Madrid, 6 y7 de noviembre de 2017
Authors: Cuenca Gómez Patricia
Published: March 2022

Los días 6 y 7 de noviembre se celebró en la Universidad Carlos III de Madrid el IV Congreso Internacional El tiempo de los derechos, organizado por la Red Tiempo de los derechos, en el que expertos /as e investigadores/asdebatieron sobre algunos retos a los que tienen que hacer frente los derechos humanos en la actualidad: Violencia de Género, Derecho a la Salud, Retos de la Protección de Datos de Carácter Personal y Retos de los derechos de las personas con Discapacidad.
Retos éticos y jurídicos que plantea la edición genética embrionaria a la luz del marco legal vigente en el ámbito europeo
Authors: Miguel Beriain Iñigo de
Published: March 2022

Los avances en el área de la edición genética, representados a través de CRISPR/Cas9, no han hecho sino reabrir un debate de intenso calado ético y jurídico. Y es que la citada herramienta puede curar y tratar enfermedades graves como la que abordaremos en el presente artículo, debiendo propugnarse la preservación del genoma individual del sujeto concreto frente a los imprecisos riesgos en el genoma de la humanidad. En cualquier caso, estos deberán identificarse y valorarse en su justa medida, ponderando los bienes jurídicos enfrentados junto con el éxito esperado, y procediendo a modificar algunos de los textos vigentes, si fuera menester, al objeto de dotar a las nuevas tecnologías de la salud del encaje legal oportuno.