bluuebunny/crossref_metadata_2025 huggingface dataset:
“Likes” in Social Media: Does It Carry Any Implications?
Authors: Loloi Justin , Bernstein Ari P. , Dubin Justin M.
Published: October 2023

Social media usage has drastically increased in recent years. In particular,
social media usage among medical providers has become commonplace. It may offer a
variety of benefits in the medical arena, with respect to information dissemination,
health promotion, and education. However, the implications of social media usage and
engagement remain to be seen. This narrative review aimed to describe and highlight the
effects of social media usage and engagement and to provide guidance for engaging in
social media as a medical professional. Our review demonstrates that active social media
engagement unequivocally affords the urologist with meaningful opportunities for
self-promotion, branding, education, networking, research, and enhanced recruitment
efforts, but this engagement comes with the risk for burdensome exposure to
misinformation and harassment. We encourage adherence with American Urological
Association/European Association of Urology (AUA/EAU) social media best practices and
provide our own recommendations for social media engagement.
Prognostic Factors Predicting Bleeding After Discharge Requiring Readmission After
Thulium Laser Enucleation of the Prostate (ThuLEP)
Authors: Perri Davide , Pacchetti Andrea , Morini Elena , Besana Umberto , Saredi Giovanni , Pastore Antonio Luigi , Sighinolfi Maria Chiara , Rocco Bernardo , Micali Salvatore , Mazzoleni Federica , Romero-Otero Javier , Bruyere Franck , Herrmann Thomas , Bozzini Giorgio
Published: October 2023

ObjectivesPostoperative haematuria is a feared complication following prostate
enucleation, and it may occur even weeks after discharge. We evaluated the risk of
bleeding after discharge and its predictive factors in patients who underwent Thulium
laser enucleation of the prostate (ThuLEP).MethodsBetween January 2015 and December
2018, patients with surgical indication for benign prostatic hyperplasia underwent
ThuLEP in 4 urology departments. All procedures were performed by experienced
urologists. Postoperative haematuria was defined as macroscopic haematuria occurring 7
days after discharge. Readmission rate due to macroscopic haematuria was assessed.
Logistic regression models tested for predictors of postoperative bleeding requiring
readmission.ResultsOverall, 748 patients were included, and 52 (6.9%) of them were
readmitted after discharge because of macroscopic haematuria. No cases of deep venous
thrombosis or pulmonary embolism were diagnosed. Mean length of stay for surgical
treatment was 2.1 days, and mean hospitalization for readmission was 5.6 days. None of
the readmitted patients required reintervention, while 46.1% of them required blood
transfusions. Diabetes mellitus (P < 0.05), a long bridge of oral anticoagulant drugs
with low molecular weight heparin (LMWH) (P < 0.05) and history of constipation (P
< 0.05) were significant predictors of readmission after discharge due to macroscopic
haematuria.ConclusionsPatients with a clinical history of diabetes mellitus or
constipation and patients who undergo a long bridge of oral anticoagulant therapy with
LMWH are at higher risk of bleeding requiring readmission after ThuLEP.
Novel Methods of Social Media Dissemination in Urology
Authors: Bhatt Nikita R. , Teoh Jeremy YC , Cucchiara Vito , Garcia Rojo Esther , Mercader Claudia , Pradere Benjamin , Ribal Maria J. , Giannarini Gianluca
Published: October 2023

Social Media (SoMe) platforms are widely used by urologists with over 99% using
SoMe and 63% of young urologists rating the influence of SoMe on knowledge acquisition
as moderate to high. The urology community is abreast with the SoMe revolution in many
ways but several new methods of SoMe dissemination remain to be explored. These provide
an exciting future for SoMe enthusiasts in urology and beyond. In this article, the
European Association of Urology Dissemination Committee explores these novel methods of
SoMe dissemination while discussing the importance of maintaining quality, ethics, and
reliability in SoMe and the role EAU plays in it.
Genitourinary Malignancy in Canadian Indigenous Populations
Authors: Suderman Jonathan , Black Peter C.
Published: October 2023

None.
Identification of Indicators for Assessing Research-Extension-Farmers Linkage in Fisheries Sectors of Tripura
Authors: Singh Yumlembam Jackie , Ojha Shekhar Nath , Upadhyay Anil Datt , Ananthan Pachampalayam Shanmugam , Argade Shivaji Dadabhau , Meinam Martina , Bharati Huirem , Mir Shakir Ahmad
Published: October 2023

The study was conducted in Tripura from 2019 to 2022 to identify different indicators for linkage between research-extension-farmers in fisheries sectors. For selecting relevant indicators that are responsible for establishing linkage among the researchers, extension personnel, and farmers, different published documents, reports, and secondary sources were reviewed for the study. The indicators identified for establishing linkage were pooled and a comprehensive list of indicators was prepared. There were 53 indicators that were kept under different categories in the pooled list using the three-point continuum; Most Relevant (MR), Relevant (R), and Not Relevant (NR). After obtaining the judges’ opinions, the relevancy score for each indicator was worked out using the relevancy percentage. The 24 indicators having an average relevancy percentage of more than 75 were finally selected for the study. Conducting need-based training (92.78%, I), Regular contact with farmers (92.12%, II), and Assessing the outcome and impact of training attended (91.35%, III) were few of the important indicators identified in the study.
Knowledge Level and Adoption Behaviour of Maize Growers in Selected Districts of Nagaland, India
Authors: Patra N K , Chophi Vitoka S , Das Sanjoy
Published: October 2023

The paper examined the knowledge level and adoption behaviour of maize growers in Nagaland. Altogether, 120 respondents were selected following proportionate random sampling from 8 villages from four blocks of two districts. Two indices, namely, knowledge and adoption indices were developed. The maize growers had inadequate knowledge of improved cultivation practices of maize. Respondents had inadequate adoption index. The variables- age, marital status, and family size had having statistically significant relationship at 5% with knowledge level. Simultaneously, income from maize cultivation, informal information, mass media, social participation, and experience in maize cultivation established a statistically significant relationship at 1% with the knowledge level. Similarly, marital status, education, and informal sources of information established a statistically significant relationship at 5% with the adoption level, and annual income was found to be statistically significant at 1% with the adoption level. It is recommended that all the stakeholders and extension systems take the initiative to improve maize cultivation in Nagaland, which will accelerate the socio-economic up-scaling of the study community. Concerned authorities may also carry out frequent capacity development and technology transfer drives for improvement.
Knowledge Enhancement of Landless and Marginal Farmers through Entrepreneurship Training on Goat Farming
Authors: Sharma Saurabh , Singh Ravindra
Published: October 2023

The study focused on assessing the cognitive effectiveness of entrepreneurial development training on goat rearing for landless and marginal farmers in Maharashtra’s Beed district carried out during 2020-21. A group of Twenty-five farmers were selected based on WhatsApp messages sent to registered KVK groups and a newspaper announcement. The training covered housing, disease management, improved goat breeding, feeding, feed preparation, and marketing intelligence. It was found that education level, socio-economic status, scientific interest, land ownership, social engagement, and marketing skills positively influenced knowledge acquisition. The trainee’s knowledge gained to the tune of 172 per cent more in seven days of training compared to the benchmark. Goat production and management including wildlife corridor preservation and promoting local vegetation through controlled grazing were key aspects. The study emphasized the importance of goat rearing training for farmers in the Beed district, showcasing substantial knowledge gains and identifying factors affecting participants’ learning outcomes.
Factors for Value Realization of Tomato, Onion, and Potato (TOP) under Operation Greens Using DEMATEL Method
Authors: Kumar Praveen , Kumbhare N V , Nain M S , Bishnoi Sitaram , Biswas Ankur , Kumar Pramod , Prashad Shiv
Published: October 2023

Operation Greens Programme of the Government of India focuses on post-harvest management of Tomato, Onion, and Potato (TOP) crops, value chain development, and value realization of farmers’ produce, which helps in enhancing livelihood security. The study conducted during 2022-2023 focused on factors determining the value realization of TOP crops under operation greens. The data were collected using a semi-structured interview schedule, with 90 farmers for each crop i.e., Tomato, Onion, and Potato. The government policy initiatives under Operation Greens were the most important factor, which mutually affected the socio-psychological, market intelligence, and input supply for TOP cultivation. About 42 per cent of respondents perceived Government policy under operation greens as important for value realization and 37.40 per cent of respondents perceived support from grassroots level extension agencies as important. Improving government policies followed for Operation Greens would result in the overall betterment of farmers and the agricultural sector of India.
Factors Driving Jute to Maize Shift in Uttar Dinajpur, West Bengal
Authors: Khalkho Rekha , Mondal Sagar , Haque Monirul , Acharya S K
Published: October 2023

Jute is an important crop that contributes a pivotal role in the economy and supports the livelihoods of the farmers of the Northern part of West Bengal. However, farmers in the region are gradually shifting away from traditional jute cultivation to adopting maize as their preference and the study investigated the factors influencing transformation. Responses were collected from 60 farmers of Chopra Block using a structured interview schedule during the peak season of maize cultivation in 2019. Principal Component Analysis was used to extract significant factors explaining the motives behind farmers’ preference for maize over jute crops. The study envisages that the factors including lack of capital, remunerative market price, high labor costs, poor soil quality and inadequate irrigation water, unavailability of improved seed varieties, high input costs, and inadequate market facilities are the key factors for discouragement of cultivation of jute. The government should develop some supportive infrastructure like providing high-quality maize seeds, conducting awareness programs to educate the farmers about the benefits and byproducts of maize, and offering knowledge about export and import markets. Capacity building and extension approaches can aid the transition and foster positive contributions to the agricultural sector of the locality.
Determinants and Constraints for Adoption of Zero Budget Natural Farming (ZBNF) Practices
Authors: Kumar Sunil , Nain Manjeet Singh , Sangeetha V , k Satyapriya
Published: October 2023

Zero Budget Natural Farming (ZBNF) follows agroecological principles and promotes chemical-free farming. It has emerged as cost-effective farming improving soil fertility and providing chemical-free food. For determining factors for the adoption of ZBNF practices in the purposively selected Wardha district of Maharashtra, conducted during 2022-23, Logit regression and for analyzing the constraints, factor analysis was used. The study revealed significant factors like integrated soil fertility management practices, adoption of ZBNF practices and IPM practices. The scarce raw materials for input preparation, management of weeds and pests were identified as input related whereas, lack of knowledge about liquid fertilizers, insect pest and weed management practices were reported as technology constraints, in case of the constraints related to labour and machinery, non availability of the bullock, high demand of skilled labour and high labour wages were reported. In case of institutional constraints, higher conversion period, high demand of skilled labour, and high certification fee were found. The assurance of better prices, purchase agencies at distant places, and lack of proper market structure were reported as the marketing constraints. In the case of political and legal constraints, a lesser number of FPOs, the synergy of the ZBNF practices with mainstream agriculture, lack of globalized market, and the need for convergence were found significant.
Implementación del control adaptable por modelo de referencia en un sistema de deshidratación
Authors: Sánchez-Sánchez Pablo , Cebada–Reyes José Guillermo , Montiel–Martínez Aideé , Reyes–Cortés José Fernando
Published: October 2023

En este artículo se propone el uso del Control Adaptable por Modelo de Referencia (MRAC) como técnica para regular un sistema con retardo en la entrada, como caso de estudio se considera un sistema térmico representado por un deshidratador de cabina. Se realiza el análisis del sistema seleccionado para determinar las ecuaciones que describen su comportamiento, y se diseña una señal de referencia, esencial para el correcto funcionamiento del algoritmo de control. Se realiza la identificación de los parámetros del sistema térmico y la sintonización de la ganancia de adaptación. Para evaluar la estabilidad del sistema y diseñar el control se utiliza la teoría de Lyapunov. El desempeño del control propuesto se compara con otros métodos empleando el índice de desempeño (norma L2).
Drivers of ecosystem water use efficiency in a temperate rainforest and a peatland in southern South America
Authors: Perez-Quezada Jorge F. , Trejo David , Lopatin Javier , Aguilera David , Osborne Bruce , Galleguillos Mauricio , Zattera Luca , Celis-Diez Juan L. , Armesto Juan J.
Published: October 2023

Abstract. The variability and drivers of carbon and water fluxes and their relationship to ecosystem water use efficiency (WUE) in natural ecosystems of southern South America are still poorly understood. For eight years (2015–2022), we measured water and carbon fluxes using eddy covariance towers in a temperate rainforest and a peatland in southern Chile. Different expressions for ecosystem WUE were derived from estimates of gross primary productivity (GPP) and evapotranspiration (ET), which was further partitioned into evaporation (E) and transpiration (T). We then used the correlation between detrended time series and structural equation modeling to identify the main environmental drivers of WUE, GPP, ET, E and T. The results showed that WUE is low in both ecosystems, and likely explained by the high annual precipitation in this region (∼2100 mm). Only expressions of WUE that included atmospheric water demand showed seasonal variation. Variations in WUE were related more to changes in ET than to changes in GPP, while T remained relatively stable accounting for around 47 % of ET for most of the study period. For both ecosystems, E increased with higher global radiation, higher surface conductance and when the water table was closer to the surface. Higher values for E were also found with increased wind speeds in the forest and higher air temperatures in the peatland. The absence of a close relationship between ET and GPP is likely related to the dominance of plant species that either do not have stomata (i.e., mosses in the peatland or epiphytes in the forest) or have poor stomatal control (i.e., anisohydric tree species in the forest). The observed increase in potential ET in the last two decades and the projected drought in this region suggests that WUE could increase in these ecosystems, particularly in the forest, where stomatal control may be more significant.
A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa
Authors: Jones William K. , Stengel Martin , Stier Philip
Published: October 2023

Abstract. The anvil clouds of tropical deep convection have large radiative effects in both the shortwave (SW) and longwave (LW) spectra with the average magnitudes of both over 100 Wm-2. Despite this, due to the opposite sign of these fluxes, the net average of anvil cloud radiative effect (CRE) over the tropics has been found to be neutral. Research into the response of anvil CRE to climate change has primarily focused on the feedbacks of anvil cloud height and anvil cloud area, in particular regarding the LW feedback. However, tropical deep convection over land has a strong diurnal cycle which may couple with the shortwave component of anvil cloud radiative effect. As this diurnal cycle is poorly represented in climate models it is vital to gain a better understanding of how its changes impact anvil CRE. To study the connection between deep convective cloud (DCC) lifecycle and CRE, we investigate the behaviour of both isolated and organised DCCs in a 4-month case study over sub-Saharan Africa (May–August 2016). Using a novel cloud tracking algorithm, we detect and track growing convective cores and their associated anvil clouds using geostationary satellite observations from Meteosat SEVIRI. Retrieved cloud properties and derived broadband radiative fluxes are provided by the CC4CL algorithm. By collecting the cloud properties of the tracked DCCs, we produce a dataset of anvil cloud properties along their lifetimes. While the majority of DCCs tracked in this dataset are isolated, with only a single core, the overall coverage of anvil clouds is dominated by those of clustered, multi-core anvils due to their larger areas and lifetimes. We find that the distribution of anvil cloud CRE of our tracked DCCs has a bimodal distribution. The interaction between the lifecycles of DCCs and the diurnal cycle of insolation results in a wide range of SW anvil CRE, while the LW component remains in a comparatively narrow range of values. The CRE of individual anvil clouds varies widely, with isolated DCCs tending to have large negative or positive CREs while larger, organised systems tend to have CRE closer to zero. Despite this, we find that the net anvil cloud CRE across all tracked DCCs is indeed neutral within our range of uncertainty (0.86 ± 0.91 Wm-2). Changes in the lifecycle of DCCs, such as shifts in the time of triggering, or the length of the dissipating phase, could have large impacts on the SW anvil CRE and lead to complex responses that are not considered by theories of LW anvil CRE feedbacks.
Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)
Authors: Aas Elin Ristorp , de Wit Heleen A. , Berntsen Terje Koren
Published: October 2023

Abstract. Understanding carbon exchange processes between land reservoirs and the atmosphere is essential for predicting carbon-climate feedbacks. Still, considerable uncertainty remains in the representation of the terrestrial carbon cycle in Earth System Models. An emerging strategy to constrain these uncertainties is to include the role of different microbial groups explicitly. Following this approach, we extend the framework of the MIcrobial-MIneral Carbon Stabilization (MIMICS) model with additional mycorrhizal groups and a nitrogen cycle that includes a novel representation of inorganic nitrogen sorption to particles via a Langmuir isotherm. MIMICS+ v1.0 is designed to capture and quantify relationships between soil microorganisms and their environment, with a particular emphasis on boreal ecosystems. We evaluated MIMICS+ against podzolic soil profiles in Norwegian forests as well as the conventional Community Land Model (CLM). MIMICS+ matched observed carbon stocks better than CLM, and gave a broader range of C:N ratios, more in line with observations. This is mainly explained by a higher direct-plant-derived fraction into the Soil Organic Matter (SOM) pools. The model produces microbial biomass estimates in line with numbers reported in the literature. MIMICS+ also showed better representation of climate gradients than CLM, especially in terms of temperature. To investigate responses to changes in nutrient availability, we performed an N enrichment experiment, and found that nitrogen sorbed to particles through the sorption algorithm served as a long-term storage of nutrients for the microbes. Furthermore, although the microbial groups responded considerably to the nitrogen enrichment, we only saw minor responses for carbon storage and respiration. Together, our results present MIMICS+ as an attractive tool for further investigations of interactions between microbial functioning and their (changing) environment.
The long-term impact of transgressing planetary boundaries on biophysical atmosphere-land interactions
Authors: Drüke Markus , Lucht Wolfgang , von Bloh Werner , Petri Stefan , Sakschewski Boris , Tobian Arne , Loriani Sina , Schaphoff Sibyll , Feulner Georg , Thonicke Kirsten
Published: October 2023

Abstract. Human activities have had a significant impact on Earth's systems and processes, leading to a transition of Earth's state from the relatively stable Holocene epoch to the Anthropocene. The planetary boundaries framework characterizes major risks of destabilization, particularly in the core dimensions of climate and biosphere change. Land system change, including deforestation and urbanization, alters ecosystems and impacts the water and energy cycle between land surface and atmosphere, while climate change can disrupt the balance of ecosystems and impact vegetation composition and soil carbon pools. These drivers also interact with each other, further exacerbating their impacts. Earth system models have been used recently to illustrate the risks and interacting effects of transgressing selected planetary boundaries, but a detailed analysis is still missing. Here, we study the impacts of long-term transgressions of the climate and land system change boundaries on the Earth system using an Earth system model with an incorporated detailed dynamic vegetation model. In our centennial-scale simulation analysis, we find that transgressing the land system change boundary results in increases in global temperatures and aridity. Furthermore, this transgression is associated with a substantial loss of vegetation carbon, exceeding 200 PgC, in contrast to conditions considered safe. Concurrently, the influence of climate change becomes evident as temperatures surge by 2.7–3.1 °C depending on the region. Notably, carbon dynamics are most profoundly affected within the large carbon reservoirs of the boreal permafrost areas, where carbon emissions peak at 150 PgC. While a restoration scenario to reduce human pressure to meet the planetary boundaries of climate change and land system change proves beneficial for carbon pools and global mean temperature, a transgression of these boundaries could lead to profoundly negative effects on the Earth system and the terrestrial biosphere. Our results suggest that respecting both boundaries is essential for safeguarding Holocene-like planetary conditions that characterize a resilient Earth system and are in accordance with the goals of the Paris Climate Agreement.
Phytoplankton Retention Mechanisms in Estuaries: A Case Study of the Elbe Estuary
Authors: Steidle Laurin , Vennell Ross
Published: October 2023

Abstract. Due to their role as primary producers, phytoplankton are essential to the productivity of estuarine ecosystems. However, it is important to understand how these nearly passive organisms are able to persist within estuaries, when river inflow results in a net outflow to the ocean. Estuaries are also representing challenging habitats due to a strong salinity gradient. So far, little is known about how phytoplankton are able to be retained within estuaries. We present a new individual-based Lagrangian model of the Elbe estuary which examines possible retention mechanisms for phytoplankton. Specifically, we investigated how reproduction, sinking and rising, as well as diel vertical migration may allow for populations to persist within the estuary. We find that vertical migration especially rising favors the retention, fast sinking does not. We further provide first estimates on outwashing losses. Our simulations illustrate that riverbanks and tidal flats are essential for the long-term survival of phytoplankton populations, providing refuges from strong downstream currents. These results contribute to the understanding needed to advance ecosystem-based management of estuaries.
Early opportunity signals of a tipping point in the UK’s second-hand electric vehicle market
Authors: Boulton Chris A. , Buxton Joshua E. , Lenton Timothy M.
Published: October 2023

Abstract. The use of early warning signals to detect the movement of natural systems towards tipping points is well established. Here, we explore whether the same indicators can provide early opportunity signals (EOS) of a tipping point in a social dataset – views of online electric vehicle (EV) adverts from a UK car selling website (2018–2023). The daily share of EV adverts views (versus non-EV adverts) is small but increasing overall and responds to specific external events, including abrupt petrol/diesel price increases, by spiking upwards before returning to a quasi-equilibrium state. An increasing return time observed over time indicates a loss of resilience of the incumbent state dominated by ICEV advert views. View share also exhibits increases in lag-1 autocorrelation and variance consistent with hypothesised movement towards a tipping point to an EV-dominated market. Segregating the viewing data by price range and year, we find a change in viewing habits from 2023. Trends in EOS from EV advert views in low-mid price ranges provide evidence that these sectors of the market may have passed a tipping point, consistent with other evidence that second-hand EVs recently reached price parity with equivalent ICEV models. We provide a case study of how EOS can be used to predict the movement towards tipping in social systems using novel data.
Brazilian Atmospheric Inventories – BRAIN: A comprehensive database of air quality in Brazil
Authors: Hoinaski Leonardo , Will Robson , Ribeiro Camilo Bastos
Published: October 2023

Abstract. Developing air quality management systems to control the impacts of air pollution requires reliable data. However, current initiatives do not provide datasets with large spatial and temporal resolutions for developing air pollution policies in Brazil. Here, we introduce the Brazilian Atmospheric Inventories – BRAIN, the first comprehensive database of air quality and its drivers in Brazil. BRAIN encompasses hourly datasets of meteorology, emissions, and air quality. We provide gridded data in two domains, covering the Brazilian territory with 20x20 km of spatial resolution and another covering Southern Brazil with 4x4 km. The emissions dataset includes vehicular emissions derived from the Brazilian Vehicular Emissions Inventory Software (BRAVES), industrial emissions produced with local data from the Brazilian environmental agencies, biomass burning emissions from FINN – Fire Inventory from the National Center for Atmospheric Research (NCAR), and biogenic emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN). The meteorology dataset has been derived from Weather Research and Forecasting Model (WRF). The air quality dataset contains the surface concentration of 216 air pollutants produced from coupling meteorological and emissions datasets with the Community Multiscale Air Quality Modeling System (CMAQ). This paper describes how the datasets were produced, their limitations, and their spatiotemporal features. To evaluate the quality of the database, we compare the air quality dataset with 244 air quality monitoring stations, providing the model’s performance for each measured pollutant by the monitoring stations. We present a sample of the spatial variability of emissions, meteorology, and air quality in Brazil from 2019, revealing the hotspots of emissions and air pollution issues. By making BRAIN publicly available, we aim to provide the required data for developing air quality policies on municipality and state scales, especially for not developed and data-scarce municipalities. We also envision that BRAIN has the potential to create new insights and opportunities for air pollution research in Brazil.
Development and comprehensive analysis of spatially resolved technological high resolution (0.1°×0.1°) Emission Inventory of Particulate Matter for India: A step Towards Air Quality Mitigation
Authors: Sahu Saroj Kumar , Mangaraj Poonam , Beig Gufran , Lund Marianne T. , Samset Bjørn Hallvard , Sahoo Pallavi , Mishra Ashirbad
Published: October 2023

Abstract. Elevated emission of particulate matter (both PM2.5 and PM10) is not limited to urban areas. It’s the major pollutant that drives the air quality across the Indian sub-continent as well as across the globe with adverse health impacts. Moreover, India is home to many polluted cities in recent years that are among the list of most polluting cities in the globe. Therefore, the identification of sources of particulate matter and their quantification along with spatial variability has become of paramount importance from the modelling point of view. The present work is an attempt to develop a high-resolution (~10 km×~10 km) national inventory of particulate (both PM2.5 and PM10) pollutants for India for the base year 2020 using IPCC methodology. The study quantifies the emission load from all possible sources in the county using the best possible resolution activity data and bottom-up approach. The estimated annual emission for PM2.5 and PM10, are calculated to be 15.8 Tg/yr, and 8.3 Tg/yr respectively. The developed emission dataset is publicly available on Zenodo at https://doi.org/10.5281/zenodo.7885103 (Sahu et al., 2023). Transport-driven windblown road dust remains the dominating source of PM10 emission, while transport and industry are the most important sources of PM2.5. The unattended anthropogenic source - municipal solid waste burning is found to be emerging as a new threat followed by crop residue burning. The developed new surface dataset has formulated a few recommendations of possible mitigation strategies for India and would be a critical tool for modelling studies.
Deep Dive into Global Hydrologic Simulations: Harnessing the Power of Deep Learning and Physics-informed Differentiable Models (δHBV-globe1.0-hydroDL)
Authors: Feng Dapeng , Beck Hylke , de Bruijn Jens , Sahu Reetik Kumar , Satoh Yusuke , Wada Yoshihide , Liu Jiangtao , Pan Ming , Lawson Kathryn , Shen Chaopeng
Published: October 2023

Abstract. Accurate hydrological modeling is vital to characterizing how the terrestrial water cycle responds to climate change. Pure deep learning (DL) models have shown to outperform process-based ones while remaining difficult to interpret. More recently, differentiable, physics-informed machine learning models with a physical backbone can systematically integrate physical equations and DL, predicting untrained variables and processes with high performance. However, it was unclear if such models are competitive for global-scale applications with a simple backbone. Therefore, we use – for the first time at this scale – differentiable hydrologic models (fullname δHBV-globe1.0-hydroDL and shorthanded δHBV) to simulate the rainfall-runoff processes for 3753 basins around the world. Moreover, we compare the δHBV models to a purely data-driven long short-term memory (LSTM) model to examine their strengths and limitations. Both LSTM and the δHBV models provide competent daily hydrologic simulation capabilities in global basins, with median Kling-Gupta efficiency values close to or higher than 0.7 (and 0.78 with LSTM for a subset of 1675 basins with long-term records), significantly outperforming traditional models. Moreover, regionalized differentiable models demonstrated stronger spatial generalization ability (median KGE 0.64) than a traditional parameter regionalization approach (median KGE 0.46) and even LSTM for ungauged region tests in Europe and South America. Nevertheless, relative to LSTM, the differentiable model was hampered by structural deficiencies for cold or polar regions, and highly arid regions, and basins with significant human impacts. This study also sets the benchmark for hydrologic estimates around the world and builds foundations for improving global hydrologic simulations.
Key ingredients in regional climate modeling for improving the representation of typhoon tracks and intensities
Authors: Sun Qi , Olschewski Patrick , Wei Jianhui , Tian Zhan , Sun Laixiang , Kunstmann Harald , Laux Patrick
Published: October 2023

Abstract. There is evidence of an increased frequency of rapid intensification events of tropical cyclones (TCs) in global offshore regions. This will not only result in increased peak wind speeds but may lead to more intense heavy precipitation events, leading to flooding in coastal regions. Therefore, high impacts are expected for urban agglomerations in coastal regions such as the densely-populated Pearl River Delta (PRD) in China. Regional climate models (RCMs) such as the Weather Research and Forecasting (WRF) model are state-of-the-art tools commonly applied to predict TCs. However, typhoon simulations are connected with high uncertainties due to the high number of parameterization schemes of relevant physical processes (including possible interactions between the parameterization schemes) such as Cumulus (CU) and Micro Physics (MP), and other crucial model settings such as domain setup, initial times, and spectral nudging. Since previous studies mostly focus on either individual typhoon cases or individual parameterization schemes, in this study a more comprehensive analysis is provided by considering four different typhoons of different intensity categories with landfall near the PRD, i.e., Neoguri (2008), Hagupit (2008), Hato (2017), and Usagi (2013), as well as two different schemes for Cu and MP, respectively. Moreover, the impact of the model initialization and the driving data is studied by using three different initial times and two spectral nudging settings. Compared with the best-track reference data, the results show that four typhoons show some consistency. For track bias, nudging only horizontal wind has a positive effect on reducing the track distance error; for intensity, compared with a convective-permitting (CP; nudging potential temperature and horizontal wind; late initial time) model, using Kain-Fritsch scheme (KF; nudging only horizontal wind; early initial time) configuration shows relatively lower minimum sea level pressures and higher maximum wind speeds which means stronger typhoon intensity. Intensity shows less sensitivity to two MP schemes compared with the CP, nudging, and initial time settings. Furthermore, we found that compared with the CP, using the KF scheme shows a relatively larger latent heat flux and higher equivalent potential temperature, providing more energy to typhoon development and inducing stronger TC. This study could be used as a reference to configure WRF for historical and future TC simulations and also contributes to a better understanding of the model simulation performance of principal TC structures.
Características deglutorias de pacientes COVID-19 con y sin intubación. Revisión sistemática exploratoria
Authors: Leguizamo Galvis Paola , Perdomo Mónica , Dussán Cuenca Bleydis , Ramírez Pilar , Morales Mónica
Published: October 2023

El COVID-19 o SARS-CoV-2 es una enfermedad infecciosa causada por el más recientemente descubierto coronavirus, el cual ha sido causa de la última pandemia registrada para la humanidad; su rápida difusión y su progresión requirió de novedosos enfoques en las prácticas clínicas, en donde el fonoaudiólogo se ha hecho cada vez más visible, debido a los compromisos que presentan a nivel deglutorio estos pacientes. El objetivo de esta revisión es determinar la situación de la deglución de los pacientes post-covid con y sin intubación a través de la exploración de la evidencia científica de tipo revisión sistemática exploratoria de la literatura, bajo los estándares de la metodología PRISMA y la estructura PSALSAR. Observando que el 50% de los artículos incluidos son de tipo observacional, descriptivo, prospectivo, con una mayor cantidad de publicación en el año 2021, relacionado con el pico más alto de la pandemia generada por el virus Sars Cov 2. Dentro de las variables analizadas se observa que la evaluación fonoaudiológica se realiza en tres esferas; instrumental, clínica y auto reporte, la FEES, la escala FOIS y la escala EAT-10, son las de uso más frecuentes. Los pacientes que presentan contagio con el SARS COV-2 y requieren intubación orotraqueal, se caracterizan por presentar múltiples factores concomitantes que promueven la aparición de penetración y aspiración silenciosa de alimentos. De igual forma, en los pacientes que no requieren apoyo con ventilación mecánica, el virus del COVID 19 puede causar, aunque con una incidencia menor, alteración en la función deglutoria como resultado de la lesión neuronal que produce este agente patógeno.
The effect of the percentage of syllables stuttered, attention, and perfectionism on listener’s comprehension scores
Authors: Cangi M. Emrah , Dölek Muhsin , Çavdar Derya
Published: October 2023

The primary aim of this study was to compare the listening comprehension levels of four groups of people who listened to recordings that varied in terms of the percentage of syllables stuttered (%SS). The secondary aim was to examine the effects of %SS, attention/hyperactivity, and perfectionism on comprehension. Sixty-four fluent participants between the ages of 18-40 were randomly assigned to gender-equivalent four groups. All participants completed ADHD and perfectionism scales. A clinician read aloud a text, exhibiting different levels (0%, 5%, 10%, and 15%) of %SSs (speech naturalness r>0.800). Each group of participants listened to a recording with a different %SS level. The comprehension performance was evaluated with the Listening Comprehension Assessment Tool developed by the authors. The validity measures of the tool were sufficient for teachers and clinicians (X̅>0.800). The group that listened to the fluent (0%) recording scored significantly higher than the other groups on mean comprehension scores. Covariance analysis indicated that only the %SS level significantly affected the comprehension score.
ЖЕЛІЛІК ТРЕНДТІ ҚОЛДАНА ОТЫРЫП БОЛЖАМДАУ
Authors: KOSHEKOVA A. , ORAZGALIYEVA S.
Published: October 2023

This article discusses the value of forecasting, the use of a linear function in forecasting. The purpose is to show the importance of a linear trend in forecasting. The relevance of the article is to achieve a simpler and more accurate solution in forecasting. The article considers the following task - determining the forecast value of the company's income for the next year according to a linear trend. As a result of the calculation, the problem posed with the help of a linear trend gave a satisfactory result.

Аталған мақалада болжау маңыздылығы, желілік функцияның болжамдауда қолданылуы қарастырылды. Мақсаты — желілік трендтің болжамдаудағы маңыздылығын көрсету. Мақаланың өзектілігі — болжамдауда неғұрлым қарапайым, әрі нақты шешімге қол жеткізу. Мақалада келесі жылдағы компания кірісінің болжамдық мәнін желілік тренд бойынша анықтау мәселесі қарастырылады. Есеп жүргізу нәтижесінде желілік трендтің көмегімен берілген тапсырма қолайлы түрде нәтижеге ие болды.

В данной статье рассмотрено значение прогнозирования, использование линейной функции в прогнозировании. Цель состоит в том, чтобы показать важность линейного тренда в прогнозировании. Актуальность статьи заключается в достижении более простого и точного решения в прогнозировании. В статье рассмотрена следующая задача - определение прогнозного значения дохода компании на следующий год по линейному тренду. В результате расчета поставленная с помощью линейного тренда задача дала удовлетворительный результат.
The Influence of Competence and Career Development on Employee Performance with Work Motivation as an Intervening Variable
Authors: Hamdan Hamdan , Gemina Dwi , Yuningsih Erni , Samsuri Samsuri , Ismartaya Ismartaya
Published: October 2023

Competition in the automotive industry requires companies to manage human resources in order to drive business growth and compete to win market share. This study aims to determine the direct effect and indirect effect, competence and career development on employee performance through work motivation employees through work motivation. Population in this study is Yamaha JG Motor Bogor employees consisting of 49 people. Sampling of 49 respondents was carried out by saturated sampling saturated. The data used in this study is ordinal data which is converted into interval-scale metric data with the method of successive interval. Data analysis using verification analysis, path analysis and sobel test analysis for intervening variables through the IBM SPSS program. The results showed that competence has a direct positive and significant effect on work motivation, while career development has no effect on work motivation. Competence has a direct positive significant on employee performance, and work motivation has a direct positive and significant effect on employee performance, while career development has no effect on employee performance. Competence has an indirect effect directly on employee performance through work motivation, while career development has no indirect effect on employee performance through work motivation.

Keywords: Competence, Career Development, Work Motivation, Employee Performance
Analisis Prediksi Kebangkrutan Pada Perusahaan Industri Semen Yang Terdaftar di Bursa Efek Indonesia
Authors: Asri Dandi , Mas'ud Masdar , Suryanti Suryanti
Published: October 2023

Penelitian ini dilakukan dengan bertujuan untuk mengetahui dan menganalisis prediksi kebangkrutan pada

perusahaan industri semen yang terdaftar di Bursa Efek Indonesia. Penelitian ini menggunakan pendekatan

kuantitatif dengan menggunakan data sekunder untuk menganalisis prediksi kebangkrutan. Populasi dan

sampel dalam penelitian ini adalah perusahaan sub sektor Industri Semen yang terdaftar di Bursa Efek

Indonesia dan aktif menerbitkan laporan keuangan selama tahun pengamatan sebanyak 6 perusahaan

selama periode 2020-2022. Hasil penelitian ini menunjukkan bahwa PT. Semen Batu Raja Tbk. PT. Waskita

Beton Tbk. dan PT. Wijaya Karya Beton Tbk. pada periode 2020-2022 berada pada klasifikasi Distress/tidak

sehat, berpotensi mengalami kesulitan keuangan berdasarkan dua model prediksi Altman Z-score dan

Springate score. PT. Solusi Bangunan Indonesia Tbk. pada periode 2020-2021 berada pada klasifikasi

distress/tidak sehat, berpotensi mengalami kesulitan keuangan berdasarkan dua model prediksi Altman Z-

score dan Springate score. Pada periode 2022 berada pada klasifikasi Grey area/Abu-abu berdasarkan model

prediksi Altman Z-score dan berada pada klasifikasi Non distress/sehat, tidak mengalami kesulitan keuangan

berdasarkan model prediksi Springate score. PT. Semen Indonesia Tbk. pada periode 2020-2022 berada pada

klasifikasi Grey area / Abu-abu berdasarkan model prediksi Altman Z-score, dan berada pada klasifikasi

distress/tidak sehat, berpotensi mengalami kesulitan keuangan berdasarkan prediksi Springate score. PT.

Indocement Tunggal Perkasa Tbk. pada periode 2020-2022 berada pada klasifikasi Non distress/sehat, tidak

mengalami kesulitan keuangan berdasarkan dua model prediksi Altman Z-score dan Springate score.

Kata kunci: Prediksi Kebangkrutan, Altman Z-score, Springate scor
Pengaruh Perputaran Modal Kerja dan Omzet Penjualan Terhadap Laba Usaha Pada UMKM Saesnack Wangkong Kabupaten Karawang Tahun 2020 – 2022
Authors: Sitanggang Melisa , Triana Neni , Nadeak Thomas
Published: October 2023

Penelitian ini bertujuan untuk memahami pengaruh tentang perputaran modal kerja, omzet penjualan, dan laba usaha pada UMKM Saesnack WangKong di Kabupaten Karawang. Desain penelitian ini menggunakan pendekatan kuantitatif dengan rancangan analisis menggunakan deskriptif verifikatif. Populasi dalam penelitian ini adalah keseluruhan data laporan keuangan Saesnack WangKong. Sampel dalam penelitian ini yakni laporan keuangan Saesnack WangKong dari tahun 2020 sampai dengan 2022. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa: (1) perputaran modal kerja tidak berpengaruh terhadap laba usaha dibuktikan dengan Sig. sebesar 0,444 > 0,05 atau t hitung -0, 775 < 2,032 (2) omzet penjualan berpengaruh terhadap laba usaha dibuktikan dengan nilai Sig. 0,000 < 0,05 atau t hitung 9,020 < 1,672 (3) perputaran modal kerja dan omzet penjualan secara simultan berpengaruh terhadap laba usaha dibuktikan dengan Sig. 0,000 F tabel 3,28. Untuk nilai determinasi dihasilkan R square 0, 787 atau 78,7% sisanya 21,3% dipengaruhi oleh variabel lain yang tidak diteliti.

Kata Kunci: perputaran modal kerja, omzet penjualan, laba usaha
Estimation of Paracetamol in various brands of Paracetamol Tablets and their Comparative Study
Authors: N. Sonawane Vaishali , A. Yeola Chaitali , N. Sonawane Vijayraj , R. Surana Khemchand , M. Patil Dhananjay , D. Sonawane Deepak
Published: October 2023

Paracetamol is a widely used non-prescription medication and is available in several brands in the market which makes it difficult to select the safe and effective one. Therefore, the study aims to establish the pharmaceutical equivalence of the different brands of paracetamol tablets and to justify the quality of different brands available in the market. The study involves the quantitative analysis of ten different brands of Paracetamol 500 mg tablets, using Ultra Violet Spectrophotometric methods, in which the samples were dissolved in 0.1M sodium hydroxide solution and distilled water and their various absorbances determined at the wavelength (λmax) of 257nm. Quantitative estimation of Paracetamol carried out by UV-Visible spectrophotometric methods, by using standard absorptivity value (assay method given in Indian Pharmacopoeia) and calibration curve method. The percentage content for each sample was calculated byboth methods using appropriate formulae and also determined whether or not they comply with standard specifications as per IP. The percentage content of paracetamol in different brands of paracetamol tablets was compared by IP Method. The results obtained by the IP method and Calibration curve method were also compared.
Extraction, Isolation and Characterization of Okra Mucilage, as Potential source of Binder in Tablet
Authors: R Shah Rutuja , S Adnaik Rahul , R Adnaik Pratibha , S Patil Swapnil
Published: October 2023

The major objective of the present investigation was to extract a natural polymer (okra mucilage) with its characterization as a pharmaceutical binder and to formulate, develop and evaluate the compression of tablet using okra binder. Binders are agent employed to impart cohesiveness to the granules. This ensures the tablet remain intact after compression. The researcher is trying to find new excipient for potential use of binding agent in tablet formulation continues to the interest. This is because different binding agent can be useful in achieving various tablet mechanical strength and drug release properties for different pharmaceutical purpose. The result presented here shows that the mucilage obtained from okra can be used as a binder in paracetamol tablets formulation with good physical properties. Tablet of long disintegration times were produced, hence it’s potential in binding and prepare the granule of pharmaceutical formulation.