bluuebunny/crossref_metadata_2025 huggingface dataset:
Potential Toxicity of Contaminants Leached From Cigarette Butts in Coastal Environments
Authors: Mandelli Wanessa Gentil , Brasil Choueri Rodrigo , Braga Castro Ítalo , Moreira Lucas Buruaem
Published: March 2023

Cigarette butts (CB) are the most common litter on beaches worldwide and their incorrect disposal may lead to contamination by many toxic substances. Once in water, CB can release contaminants generated by the burning of cigarettes, which can have their toxic potential increased. Biocides, preservatives, and nitrogen compounds generated during tobacco cultivation and cigarette manufacturing are the most relevant compounds, while hydrocarbons and metals are generated and/or released from the burning of tobacco. A relevant issue is the lack of guidelines for CB management and benchmark values regarding these chemicals and additives for environmental quality purposes. The present study aimed to provide ecotoxicological information on the main contaminants present in CB leachates and its hazard was assessed in an Ecological Risk Assessment (ARE) context. Data on toxic effects for freshwater and marine organisms of substances reported to be leached from CB were obtained from the toxicity databases, and the hazard concentrations (HC10), a threshold for protecting 90% of the community, were determined based on the species sensitivity distribution (SSD) method. The most toxic substances for freshwater environments were benzo(a)anthracene, benzo(a)pyrene, acenaphthene and fluorene, Pb, and nicotine. For marine environments, the most toxic chemicals were benzo(a)pyrene, acenaphthene, fluorene and naphthalene, Cu, Pb, and Cd. The results of this study contribute to the advancement of knowledge about the contamination, toxicity, and ecological risks of CBs in coastal environments.
Pentecostal Leadership: Exploring a Global Phenomenon
Authors: Markow Franklin , Åkerlund Truls
Published: March 2023

Pentecostalism is a fast-growing religious movement that has over a half a billion adherents, and its leaders are increasingly gaining influence on the global scene. Yet, little has been done to empirically investigate its leadership distinctives. This article seeks to fill this gap
by exploring Pentecostal leadership cross-culturally using a qualitative phenomenological inquiry into the meaning of leadership among Pentecostal leaders in Singapore, Norway, and the USA. We articulate an understanding of Pentecostal leadership which looks at both its constituent elements
(i. e., derived leadership, spirituality as core, divine and human agency in interaction, sensemaking leadership, and ambivalence and tension) and develop a conceptual framework which binds these together into a coherent schema—one that suggests a delicate interplay between leader, follower,
and the sublime. Further, we relate this unique approach to the larger field of leadership studies and make implications which can inform and broaden Western rationalistic approaches to leadership.
Callobre
Authors: Mosquera Castro Tania , Bartolomé Abraira Roberto , César Vila Mario , Martín Hernández Esperanza , Alonso Toucido Francisco
Published: March 2023

Ficha del yacimiento Callobre ubicado a Oza-Cesuras (A Coruña) incluida en el proyecto "Figlinae Hispanae (FIGHISP). Catálogo en red de las alfarerías hispanorromanas y estudio de la comercialización de sus productos".
O Brumeiral
Authors: Mosquera Castro Tania , Bartolomé Abraira Roberto , César Vila Mario , Martín Hernández Esperanza , Alonso Toucido Francisco
Published: March 2023

Ficha del yacimiento O Brumeiral ubicado a Ordes (A Coruña) incluida en el proyecto "Figlinae Hispanae (FIGHISP). Catálogo en red de las alfarerías hispanorromanas y estudio de la comercialización de sus productos".
Ollo do Coito
Authors: Mosquera Castro Tania , Bartolomé Abraira Roberto , César Vila Mario , Martín Hernández Esperanza , Alonso Toucido Francisco
Published: March 2023

Ficha del yacimiento Ollo do Coito ubicado a Santiso (A Coruña) incluida en el proyecto "Figlinae Hispanae (FIGHISP). Catálogo en red de las alfarerías hispanorromanas y estudio de la comercialización de sus productos".
Pseudoangiomatous Stromal Hyperplasia of the Breast: A Case Report of a 32-year-old Woman
Authors: Pudja I Putu Ryan Mahendra , Mahayasa I Putu Gede Fajar , Pratama Krishna Kurnia
Published: March 2023

Pseudoangiomatous Stromal Hyperplasia (PASH) is a benign breast tumor with a histological pattern that mimics the appearance of angiomatous proliferation. The lesion appears as a complex tissue with slit-like spaces lined by spindle cells resembling endothelial cells with a background of stromal hyperplasia. PASH manifests as a palpable mass, multifocal nodules, or a large diffuse mass that makes the breast asymmetrical. We report a case of breast lump in a 32-year-old woman caused by PASH. Biopsy of the mass showed histopathologic features of PASH. This patient then received tumor excision to remove the mass. Treatment of PASH tumors depends on the size and growth rate of the tumor. Anti-hormonal therapy such as tamoxifen may be an option for non-invasive therapy, but after the diagnosis has been confirmed through a core biopsy and the tumor size is no more than 2 cm. Surgical excision of the tumor by minimizing damage to the surrounding breast tissue is the most recommended treatment.
Evaluation of error components in rainfall retrieval from collocated commercial microwave links
Authors: Špačková Anna , Fencl Martin , Bareš Vojtěch
Published: March 2023

Abstract. Opportunistic rainfall sensing using commercial microwave links (CMLs) operating in telecommunication networks has the potential to complement conventional rainfall monitoring, however, the diversity of sensors and their errors are difficult to handle. This analysis empirically evaluates errors of CML observations that manifest discrepancies between collocated sensors without reference rainfall measurements. Collocated CMLs are evaluated as independent rainfall sensors, which enable us to assess the effect of hardware homogeneity and measurement consistency using CML observations at twelve sites within a real telecommunication network in Prague. The evaluation considers 33 rainfall events distinguishing between stratiform and convective rainfall type in the period 2014 and 2016, monitored in 1-min temporal resolution. Collocated CMLs of identical and different frequencies are evaluated, and different rainfall types are discussed. The collocated commercial microwave links are in excellent agreement. The inherent error of rain-induced attenuation for paired independent commercial microwave links is 0.4 dB. The high correlation of the rainfall intensity measurements between the collocated sensors was obtained in a range between 0.96 and 0.99, and the root mean square error ranges between 0.4 mm h−1 and 1.7 mm h−1. This confirms homogeneous behaviour of the hardware in a real network. Therefore, the data of CMLs of the same characteristics can be processed with identi-cal parameters for rainfall retrieval models.
Site and Season Specific Calibrations Improve Low-cost Sensor Performance: Long-term Field Evaluation of PurpleAir Sensors in Urban and Rural India
Authors: Campmier Mark Joseph , Gingrich Jonathan , Singh Saumya , Baig Nisar , Gani Shahzad , Upadhya Adithi , Agrawal Pratyush , Kushwaha Meenakshi , Mishra Harsh Raj , Pillarisetti Ajay , Vakacherla Sreekanth , Pathak Ravi Kant , Apte Joshua S.
Published: March 2023

Abstract. We report on the long-term performance of a popular low-cost PM2.5 sensor, the PurpleAir PA-II, at multiple sites in India, with the aim of identifying robust calibration protocols. We established 3 distinct sites in India (North India: Delhi, Hamirpur; South India: Bangalore), where we collocated PA-II with reference beta-attenuation monitors to characterize sensor performance and to model calibration relationships between PA-IIs and reference monitors for hourly data. Our sites remained in operation across all major seasons of India. Without calibration, the PA-IIs had high precision (Normalized Root Mean Square Error [NRMSE] among replicate sensors ≤ 15 %) and tracked the overall seasonal and diurnal signals from the reference instruments well (Pearson’s r ≥ 0.9) but were inaccurate (NRMSE ≥ 40 %). We used a comprehensive feature selection process to create optimized site-specific calibrations. Relative to the uncalibrated data, parsimonious least-squares long-term calibration models improved PA-II performance at all sites (cross-validated NRMSE: 20–30 %, R2: 0.82–0.95), particularly by reducing seasonal and diurnal biases. Because aerosol properties and meteorology vary regionally, the form of these long-term models differed by site. Likewise, using a moving-window calibration, we find a calibration scheme using seasonally specific information somewhat improves performance relative to a static long-term calibration model. In contrast, we demonstrate that a successful short-term calibration exercise for one season may not transfer reliably to other seasons. Overall, we demonstrate how the PA-II, when paired with a careful calibration scheme, can provide actionable information on PM2.5 in India with only modest irreducible uncertainty.
A Multi-Parameter Dynamical Diagnostics for Upper Tropospheric and Lower Stratospheric Studies
Authors: Millan Luis F. , Manney Gloria L. , Boenisch Harald , Hegglin Michaela I. , Hoor Peter , Kunkel Daniel , Leblanc Thierry , Petropavlovskikh Irina , Walker Kaley , Wargan Krzysztof , Zahn Andreas
Published: March 2023

Abstract. Ozone trend estimates have shown large uncertainties in the upper troposphere/lower stratosphere (UTLS) region despite multi-decadal observations available from ground-based, balloon, aircraft, and satellite platforms. These uncertainties arise from large natural variability driven by dynamics (reflected in tropopause and jet variations) as well as the strength in constituent transport and mixing. Additionally, despite all the community efforts there is still a lack of representative high-quality global UTLS measurements to capture this variability. The Stratosphere-troposphere Processes And their Role in Climate (SPARC) Observed Composition Trends and Variability in the UTLS (OCTAV-UTLS) activity aims to reduce uncertainties in UTLS composition trend estimates by accounting for this dynamically induced variability. In this paper, we describe the production of dynamical diagnostics using meteorological information from reanalysis fields that facilitate mapping observations from several platforms into numerous geophysically-based coordinates (including tropopause and upper tropospheric jet relative coordinates). Suitable coordinates should increase the homogeneity of the air masses analyzed together, thus reducing the uncertainty caused by spatio-temporal sampling biases in the quantification of UTLS composition trends. This approach thus provides a framework for comparing measurements with diverse sampling patterns and leverages the meteorological context to derive maximum information on UTLS composition and trends and its relationships to dynamical variability. The dynamical diagnostics presented here are the first comprehensive set describing the meteorological context for multi-decadal observations by ozonesondes, lidar, aircraft, and satellite measurements in order to study the impact of dynamical processes on observed UTLS trends by different sensors on different platforms. Examples using these diagnostics to map multi-platform datasets into different geophysically-based coordinate systems are provided. The diagnostics presented can also be applied to analysis of greenhouse gases other than ozone that are relevant to surface climate and UTLS chemistry.
Rainbows and Climate Change: A tutorial on climate model diagnostics and parameterization
Authors: Gettelman Andrew
Published: March 2023

Abstract. Earth System Models (ESMs) must represent processes below the grid scale of a model using representations (parameterizations) of physical and chemical processes. As a tutorial exercise to understand diagnostics and parameterization, this work presents a representation of rainbows for an ESM: the Community Earth System Model version 2 (CESM2). Using the 'state' of the model, basic physical laws, and some assumptions, we generate a representation of this unique optical phenomena as a diagnostic output. Rainbow occurrence and it's possible changes are related to cloud occurrence and rain formation which are critical uncertainties for climate change prediction. The work highlights issues which are typical of many diagnostics parameterizations such as assumptions, uncertain parameters and the difficulty of evaluation against uncertain observations. Results agree qualitatively with limited available global 'observations' of Rainbows. Rainbows are seen in expected locations in the sub-tropics over the ocean where broken clouds and frequent precipitation occurs. The diurnal peak is in the morning over ocean and in the evening over land. The representation of rainbows is found to be quantitatively sensitive to the assumed amount of cloudiness and the amount of stratiform rain. Rainbows are projected to have decreased, mostly in the Northern Hemisphere, due to aerosol pollution effects increasing cloud coverage since 1850. In the future, continued climate change is projected to decrease cloud cover, associated with a positive cloud feedback. As a result the rainbow diagnostic projects that rainbows will increase in the future, with the largest changes at mid-latitudes. The diagnostic may be useful for assessing cloud parameterizations, and is an exercise in how to build and test parameterizations of atmospheric phenomena.
Opinion: Atmospheric Multiphase Chemistry: Past, Present, and Future
Authors: Abbatt Jonathan , Ravishankara Akkihebbal
Published: March 2023

Abstract. Multiphase chemistry occurs between chemicals in different atmospheric phases, typically involving gas-solid and gas-liquid interactions. The importance of atmospheric multiphase chemistry has long been recognized. Its central role extends from acid precipitation and stratospheric ozone depletion, to its impact on the oxidizing capacity of the troposphere, and to the roles that aerosol particles play in driving chemistry-climate interactions and affecting human health. This opinion article briefly introduces the subject of multiphase chemistry and tracks its development before and after the start of Atmospheric Chemistry and Physics. Most of the article focuses on research opportunities and challenges in the field. Central themes are that a fundamental understanding of the chemistry at the molecular level underpins the ability of atmospheric chemistry to accurately predict environmental change, and that the discipline of multiphase chemistry is strongest when tightly connected to atmospheric modeling and field observations.
Evaluation of model-derived root-zone soil moisture over the Huai river basin
Authors: Liu En , Zhu Yonghua , Calvet Jean-christophe , Lü Haishen , Bonan Bertrand , Zheng Jingyao , Gou Qiqi , Wang Xiaoyi , Ding Zhenzhou , Xu Haiting , Pan Ying , Chen Tingxing
Published: March 2023

Abstract. Root-zone soil moisture (RZSM) is crucial for water resource management, drought monitoring and sub-seasonal flood climate forecast. RZSM is not directly observable from space but various model-derived RZSM products are available at the global scale and are widely used. In this paper, a comprehensive quantitative evaluation of eight RZSM products is made over the Huai river basin (HRB) in China. A direct validation is performed using observations from 58 in situ soil moisture stations from 1 April 2015 to 31 March 2020. Attention is drawn to the potential factors increasing uncertainties of model-generated RZSM, such as errors on atmospheric forcings (precipitation, air temperature), soil properties, and model parameterizations. Results indicate that the Global Land Data Assimilation System Catchment Land Surface Model (GLDAS_CLSM) performs best among all RZSM products with the highest correlation coefficient (R) and lowest unbiased root-mean square error (ubRMSE): 0.503 and 0.031 m3 m−3, respectively. All RZSM products tend to overestimate the in situ soil moisture values, except for the Soil Moisture and Ocean Salinity (SMOS) L4 product, which underestimates RZSM. The underestimated SMOS L3 SSM associated with low physical surface temperature triggers the underestimation of RZSM in SMOS L4. The RZSM overestimation by other products can be explained by the overestimation of precipitation amount, precipitation event frequency (drizzle effects) and by the underestimation of air temperature. Besides, the overestimation of the soil clay content and the underestimation of the soil sand content in different LSMs leads to larger soil moisture values. The intercomparison of the eight RZSM products shows that MERRA-2 and SMAP L4 RZSM are the most correlated with one another. These products are based on the same LSM and on the same surface meteorological forcing generated from the National Aeronautics and Space Administration (NASA) GEOS-5. In addition, model parameterizations in different LSMs vary considerably, affecting the transfer and exchange of water and heat in the vadose zone.
History of the Potsdam, Seddin and Niemegk geomagnetic observatories – Part 2: Seddin
Authors: Linthe Hans-Joachim
Published: March 2023

Abstract. The measurement series of the three geomagnetic observatories Potsdam, Seddin
and Niemegk spans 130 years, starting in 1890. It is one of the longest, almost uninterrupted series of recordings of the Earth's magnetic field. Data users frequently emphasise the high quality of the data and their
significance for geomagnetic base research. Very well known outstanding
geomagnetism scientists, such as Max Eschenhagen, Adolf Schmidt, Julius Bartels,
Gerhard Fanselau and Horst Wiese, directed the observatories during their
existence. This paper describes the history of the Seddin Observatory, which was in operation from 1907 until 1932.
Inferring the depth and magnitude of pre-instrumental earthquakes from intensity attenuation curves
Authors: Sbarra Paola , Burrato Pierfrancesco , De Rubeis Valerio , Tosi Patrizia , Valensise Gianluca , Vallone Roberto , Vannoli Paola
Published: March 2023

Abstract. The Italian historical earthquake record is among the richest worldwide; as such it allows for the development of advanced techniques for retrieving quantitative information by calibration with recent earthquakes. Building on a pilot elaboration of northern Italian earthquakes, we developed a procedure for determining the hypocentral depth of all Italian earthquakes from macroseismic intensity data alone. In a second step the procedure calculates their magnitude, taking into account the inferred depth. Hypocentral depth exhibits substantial variability countrywide but has so far received little attention: pre-instrumental earthquakes were routinely “flattened” at the upper-crustal level (∼10 km), on the grounds that the calculation of hypocentral depth is heavily dependent on the largely unknown local propagation properties. We gathered a learning set of 42 earthquakes documented by reliable instrumental data and by numerous macroseismic intensity observations. We observe (1) that within 50 km from the epicenter the ground motion attenuation rate is primarily controlled by hypocentral depth and largely independent of magnitude, (2) that within this distance the fluctuations in crustal attenuation properties are negligible countrywide, and (3) that knowing both the depth and the expected epicentral intensity makes it possible to estimate a reliable magnitude.
Improved estimation of the bulk ice crystal fabric asymmetry from polarimetric phase co-registration
Authors: Zeising Ole , Gerber Tamara Annina , Eisen Olaf , Ershadi M. Reza , Stoll Nicolas , Weikusat Ilka , Humbert Angelika
Published: March 2023

Abstract. The bulk crystal orientation in ice influences the flow of glaciers and ice streams.
The ice c-axes fabric is most reliably derived from ice cores.
Because these are sparse, the spatial and vertical distribution of the fabric in the Greenland and Antarctic ice sheets is largely unknown.
In recent years, methods have been developed to determine fabric characteristics from polarimetric radar measurements.
The aim of this paper is to present an improved method to infer the horizontal fabric asymmetry by precisely determining the travel-time difference using co-polarised phase-sensitive radar data.
We applied this method to six radar measurements from the East Greenland Ice-core Project (EastGRIP) drill site on Greenland's largest ice stream to give a proof of concept by comparing the results with the horizontal asymmetry of the bulk crystal anisotropy derived from the ice core.
This comparison shows an excellent agreement, which is a large improvement compared to previously used methods.
Our approach is particularly useful for determining the vertical profile of the fabric asymmetry in higher resolution and over larger depths than was achievable with previous methods, especially in regions with strong asymmetry.
On the characteristics of the wake of a wind turbine undergoing large motions caused by a floating structure: an insight based on experiments and multi-fidelity simulations from the OC6 Phase III Project
Authors: Cioni Stefano , Papi Francesco , Pagamonci Leonardo , Bianchini Alessandro , Ramos-García Néstor , Pirrung George , Corniglion Rémi , Lovera Anaïs , Galván Josean , Boisard Ronan , Fontanella Alessandro , Schito Paolo , Zasso Alberto , Belloli Marco , Sanvito Andrea , Persico Giacomo , Zhang Lijun , Li Ye , Zhou Yarong , Mancini Simone , Boorsma Koen , Amaral Ricardo , Viré Axelle , Schulz Christian W. , Netzband Stefan , Soto Valle Rodrigo , Marten David , Martín-San-Román Raquel , Trubat Pau , Molins Climent , Bergua Roger , Branlard Emmanuel , Jonkman Jason , Robertson Amy
Published: March 2023

Abstract. This study reports the results of the second round of analyses of the OC6 project Phase III. While the first round investigated rotor aerodynamic loading, here focus is given to the wake behavior of a floating wind turbine under large motion. Wind tunnel experimental data from the UNsteady Aerodynamics for FLOating Wind (UNAFLOW) project are compared with the results of simulations provided by participants with methods and codes of different levels of fidelity. The effect of platform motion both on the near and the far wake is investigated. More specifically, the behavior of tip vortices in the near wake is evaluated through multiple metrics, such as streamwise position, core radius, convection velocity, and circulation. Additionally, the onset of velocity oscillations in the far wake is analyzed because this can have a negative effect on stability and loading of downstream rotors. Results in the near wake for unsteady cases confirm that simulations and experiments tend to diverge from the expected linearized quasi-steady behavior when the rotor reduced frequency increases over 0.5. Additionally, differences across the simulations become significant, suggesting that further efforts are required to tune the currently available methodologies in order to correctly evaluate the aerodynamic response of a floating wind turbine in unsteady conditions. Regarding the far wake, it is seen that, in some conditions, numerical methods over-predict the impact of platform motion on the velocity fluctuations. Moreover, results suggest that, different from original expectations about a faster wake recovery in a floating wind turbine, the effect of platform motion on the far wake seems to be limited or even oriented to the generation of a wake less prone to dissipation.
On the laminar–turbulent transition mechanism on megawatt wind turbine blades operating in atmospheric flow
Authors: Lobo Brandon Arthur , Özçakmak Özge Sinem , Madsen Helge Aagaard , Schaffarczyk Alois Peter , Breuer Michael , Sørensen Niels N.
Published: March 2023

Abstract. Among a few field experiments on wind turbines for analyzing laminar–turbulent boundary layer transition, the results obtained from the DAN-AERO and aerodynamic glove projects provide significant findings. The effect of inflow turbulence on boundary layer transition and the possible transition mechanisms on wind turbine blades are discussed and compared to CFD (computational fluid dynamics) simulations of increasing fidelity (Reynolds-averaged Navier–Stokes, RANS; unsteady Reynolds-averaged Navier–Stokes, URANS; and large-eddy simulations, LESs). From the experiments, it is found that the transition scenario changes even over a single revolution with bypass transition taking place under the influence of enhanced upstream turbulence, for example, such as that from wakes, while natural transition is observed in other instances under relatively low inflow turbulence conditions. This change from bypass to natural transition takes place at azimuthal angles directly outside the influence of the wake indicating a quick boundary layer recovery. The importance of a suitable choice of the amplification factor to be used within the eN method of transition detection is evident from both the RANS and URANS simulations. The URANS simulations which simultaneously check for natural and bypass transition match very well with the experiment. The LES predictions with anisotropic inflow turbulence show the shear-sheltering effect and a good agreement between the power spectral density plots from the experiment and simulation is found in case of bypass transition. A condition to easily distinguish the region of transition to turbulence based on the Reynolds shear stress is also observed. Overall, useful insights into the flow phenomena are obtained and a remarkably consistent set of conclusions can be drawn.
Reasserting the Principle of Legality in the Wake of the COVID-19 Pandemic: A Case Note on the Decision U-I-79/21 of the Constitutional Court of the Republic of Slovenia
Authors: Kos Marjan
Published: March 2023

In a response to the COVID-19 pandemic, the Slovenian Government adopted numerous measures that were substantively similar to those, adopted in other states. The scope and intensity of those measures significantly affected the principle of the separation of powers and the protection of human rights. In this context, the Constitutional Court of
the Republic of Slovenia adopted Decision U-I-79/21, which marked the contours for the review of legality and constitutionality of the Governmental measures in subsequent cases. The key message of the Decision was the demand for the strict observance of the principle of legality when adopting measures to prevent the spread of COVID-19,
which interfere with human rights. This article explains the context of the Decision and presents key arguments from the Decision and the concurring and dissenting opinions as well as the response of the expert community.
Electroconvulsive Therapy Use in Pregnant Patients Case Report
Authors: Roxana Nouri-Nikbakht  , Levitt Dr. Gwen
Published: March 2023

Background: ECT has been used as an intervention for patients with treatment resistant depression, sever psychosis, catatonia, acute mania, certain types of schizophrenic syndromes, and suicidality. ECT is safe in all trimesters, whereas certain medications are only safe at certain times during pregnancy and can be associated with more severe side effects. ECT does not interfere with breastfeeding. Moreover, ECT use in pregnancy has not been shown to increase risk of labor and delivery complications or congenital anomalies, while untreated depression or pharmacotherapy for depression can do so.

Case Presentation: We discuss three cases in which pregnant patients with psychiatric diagnoses of bipolar disorder or schizoaffective disorder receive ECT in combination with pharmacotherapy. ECT improved the symptoms of the patients in these cases, but only one of the three patients was discharged home with her baby.

Conclusion: The women in these cases demonstrate that ECT can be a helpful treatment for psychosis and depression, especially in combination with pharmacotherapy. ECT is safe and effective for both the mother and the fetus. ECT should be considered alongside other mainstays of treatment with special consideration to possible pregnancy-related safety measures.
Factors Affecting Depression and Anxiety in Diabetic Patients: A Prospective Cohort Study from a Tertiary Care Hospital in Eastern India
Authors: Karpha Kankana , Biswas Jyotirmoy , Nath Siddhartha , Dhali Arkadeep
Published: March 2023

This abstract was published in a different venue and it is not being published in this Supplement to avoid duplicate publications.Link to the publication: https://www.sciencedirect.com/science/article/pii/S2049080122017058?via%3Dihub
The Effect of Early Movements of Swollen Lymph Nodes Caused by COVID-19/ Vaccine of COVID-19 on Recovery
Authors: Aljameey Usama A. , Bergman Stephen R.
Published: March 2023

Background: The swelling of the lymph nodes may raise some concerns and anxiety for people after getting the vaccination, especially for COVID-19. Many women seek medical attention for the enlarged lymph node due to the known relationship between lymph nodes and breast cancer. This research is intended to enrich the data of the most recent COVID-19 pandemic and the vaccines that were developed shortly after. The aim is to see if there is an effect of early movement of the swollen axillary lymph nodes caused by the COVID-19 vaccination and to enrich the data of the most recent COVID-19 pandemic and its developed vaccines shortly after.

Methods: A voluntary survey was used to collect data from recently vaccinated individuals. Data were analyzed for associations between early movement and resolution of lymphadenopathy.

Results: 32 (20.38%) of 157 participants reported swelling of axillary lymph nodes that resulted from COVID-19 vaccination.  Duration of swelling ranged from 1 to more than two weeks.  The early movement did not show a statistically significant reduction in the course of swelling.

Conclusion: Early movement of areas affected with lymph node enlargement, whether active or passive, does not seem to cause additional side effects.  The effect of early action seems comparable to rest (see Fig.), although it may lessen erythema due to improved circulation, just like the newer concept of early movement after a skeletal injury has a better outcome than merely resting, which was the older method of recovery. However, the current data is limited to support the benefit of such a concept.
Neutrophil-Lymphocyte Ratio and its Association with Hyperglycaemia: A Cross Sectional Study
Authors: Dandge Shailendra , Pooja Shivani B.
Published: March 2023

Introduction: Chronic subclinical inflammation indicated by an elevated neutrophil-lymphocyte ratio (NLR) calculated from a complete blood count (CBC) test is reported to be associated with hyperglycaemia, including prediabetes and type 2 diabetes mellitus (T2DM). Current evidence on the association between NLR and glycaemic status is limited and conflicting.
AIM: To determine if NLR was higher in those with prediabetes compared to those with normoglycemia, and To compare the NLR among individuals on treatment for T2DM stratified by glycaemic control.
Methods: We analysed hospital data of individuals attending a tertiary care hospital in south India between January, 2021 and December, 2021. Individuals had CBC and glycosylated haemoglobin (HbA1c) tests done at the same visit. Hospital records of only those individuals without any clinical features of inflammation at the time of hospital visit were included in this analysis. Normoglycemia and prediabetes were defined as HbA1c < 5.7% and HbA1c ≥5.7 but ≤6.4% respectively, in those without a history of T2DM. Good glycaemic control and poor glycaemic control were defined as HbA1c<7% and HbA1c ≥7 respectively in those on treatment for T2DM.CBC and HbA1c data of 109 individuals each with normoglycemia and prediabetes; and 373 individuals on treatment for T2DM were analysed.  After confirming the normality of distribution of NLR, unpaired Student’s ‘t’ test was used: 1. to compare the NLR between those with normoglycemia and prediabetes and 2. to compare NLR among those on treatment for T2DM stratified by glycaemic control.
Results: Demographic characteristics including mean age and sex ratio among individuals with and without prediabetes were similar. The Mean (SD) NLR was higher in those with prediabetes compared to those with normoglycemia 1.7(1.0) versus 1.4(0.3); p=0.002. Of the 373 individuals on treatment for T2DM,121(32.4%) had good glycaemic control. There were no differences in demographic characteristics of those with and without good glycaemic control. The mean (SD) NLR between those with and without good glycaemic control, respectively was not different; 1.6(0.1) versus 1.7(0.1); p=0.46.
Conclusion: In individuals without any clinical features of inflammation, a higher neutrophil-lymphocyte ratio was associated prediabetes. However, there was no association between neutrophil-lymphocyte ratio and glycaemic control among those on treatment for T2DM.
Knowledge of Cholera Among Syrians: A Cross-Sectional Study
Authors: Almoshantaf Mohammad Badr , Swed Sarya , Alibrahim Hidar , Bohsas Haidara , Nasif Mohmad Nour , Hafez Wael , Aldaas Ahmad
Published: March 2023

Background: Cholera is a communicable acute bacterial infection caused by a gram-negative bacterium that is Vibrio Cholera. Worldwide, is estimated that an incidence of 1.3–4.0 millions of cholera infection, leading to 21,000–143,000 deaths annually. Prevention of cholera require a proactive approach rather than reactive, as it`s identified to be the best strategy to decrease the cholera spreading risk in given population or community. Recently WHO warned that, the cholera spreading risk in Syria is very high, which linked to drinking of untreated water and food contamination.

 

Aim: we conducted this study with aiming to assess the level of knowledge, attitude and practice regarding risks of cholera infection, preventive measures and preparedness among community in Syria. Consequently, recommending suitable measures based on study results.

 

Methods: An online cross-sectional study was conducted in Syria to assess knowledge, attitude, and practice regarding cholera and cholera vaccine among general population in Syria. The inclusion criteria for participation were Syrian nationality aged 18 or more, male or female, from all governorates of Syria, never have cholera previously, and were willing to participate. The questionnaire was consisting of four sections. The first section was about sociodemographic data. The second section evaluated respondents' self-reported knowledge on cholera and divided into two parts (2a: Knowledge on cholera, its prevention and treatment. 2b Knowledge on cholera vaccine). The third section evaluated respondents’ self-reported practice relating to cholera and its vaccine, this section divided into two parts (3a: Practice relating cholera and its treatment/management. 3b: Practice relating cholera vaccine. The fourth section inquired respondents’ attitude toward cholera and cholera vaccine. 52.9% thought that cholera outbreaks happen in summer seasons.

 

Results: Among 1563 Syrian national participants, (n=982, 62.8%) were females, and (n=581, 37.2%) males. 60.9% of respondents did not recognize the cholera in the first place. Passing watery stool was the most recognized symptom of cholera with 50.3%, severe dehydration with 31.1%, and repeated vomiting with 10.3%. Lack of safe drinking water was recognized as the most common cause for cholera. Most respondents (54.1%) have chosen IV saline as the treatment of choice for cholera. 85.3% of respondents are with providing health care to the infectants in health centers.

 

Conclusion: According to our findings, there is insufficient understanding of the cholera symptoms and risk factors. The need for better understanding of such common outbreaks is essential to counter them. Consequently, there is a greater need to increase cholera awareness and education programs on the disease's signs and symptoms and its risk factors.
Comparative Study of Wind Pressure Variations on Rectangular Buildings using Python Programming
Authors: Dumka Pankaj , Samaiya Nitin Kumar , Gandhi Sumit , Dash Subas , Dubey Sumit , Mishra Dhananjay R.
Published: March 2023

In this research article an attempt has been made to analyse the design wind pressure on the rectangular buildings using Python programming. For this purpose, design wind pressure is calculated and compared using IS 875 (Part 3) 1987 and the revised code IS 875 (Part 3) 2015. The concept have been applied to three different building heights i.e. 20, 40, and 60 m having same plan 1010 m2. It has been observed that the impact of wind pressure on the building rises with the building height along with the fact that the design wind pressures obtained from revised code show more pressures in comparison to the old one. Therefore, the design based on the revised code will be more close to the reality as it incorporates risk factor, directionality factor, area averaging factor, and combination factors. Also, the module developed for wind loads can be readily used by the researchers/designers for the better understanding of programming and the design loads.
PENGARUH PENERAPAN STANDAR AKUNTANSI PEMERINTAHAN, KOMPETENSI APARATUR PEMERINTAH DAERAH DAN GOOD GOVERNANCE TERHADAP KUALITAS LAPORAN KEUANGAN DAERAH (Studi Empiris Pada Dinas Kota Palangka Raya)
Authors: Advia Raibbatol , Wibowo Agus Satrya , Diarsyad M. Ichsan
Published: March 2023

The effect of applying government accounting standards, competence human resources, and good governance on quality of regional financial reports (Empirical Study at the Palangka Raya City). Thesis, Department of Accounting, Faculty of Economics and Business. This study aims to provide an empirical explanation of applying government accounting standards, competence human resources, and good governance affect the quality of financial reports.  The study had a population of 18 Palangka Raya City Offices.  This study uses primary data in the form of a questionnaire with a purposive sampling method, which is the sample obtained is 72 people.  The data analysis technique in this research is causality analysis, validity and reliability of the instrument test and multiple linear analysis.  The results of this study indicate that the government accounting standards, competence human resources, and good governance affect the quality of financial reports.  Furthermore, it is suggested for further researchers to develop a sample and is expected to be able to test it with other variables outside the research.
PENGARUH IMPLEMENTASI TRANAKSI NON TUNAI, AKUNTABILITAS, DAN KEBIJAKAN LEGAL SISTEM INFORMASI TERHADAP PENGELOAAN KEUANGAN DAERAH (Studi Pada OPD di lingkungan Pemerintahan Kabupaten Barito Selatan)
Authors: Norhadijah Norhadijah , Yuni Sri , Christian Ferry
Published: March 2023

The study is aimed at recognizing the impact of implementation of non-cash transactions, accountability and legal policies of regional financial management information systems on regional financial management in the district of barito. It is a quantitative study, that is, by the presentation of research with Numbers that are then explained and interpreted in a description to test hypotheses. The data used in this study is the primary data gleaned from the responders filling out questionnaires. Tools used in the study use descriptive and linear regression statistics. Based on analysis, it is known that :1) implementation of non-cash transactions has a positive and significant impact on financial management in the opd in south Barito county's environment 2) accountability has a positive and significant impact on the regional finance management of the opd in the south Barito government's environment. 3) the legal policies of the region's financial management system affect the management of blood money on the opd in the south of Barito county's administration.4) simultaneously implementation of non-cash transactions, accountability and legal policies of the region's financial management systems are both positive and significant to the management of regional finances in the area of Barito Selatan
PENGARUH PERILAKU DAN SIKAP KEUANGAN MAHASISWA TERHADAP LITERASI KEUANGAN PADA JURUSAN AKUNTANSI FEB UNIVERSITAS PALANGKARAYA
Authors: Arpasha Deo , Rahmiati Rahmiati , Fransiska Christina
Published: March 2023

The role of student financial behavior and attitudes is important in implementing wise financial literacy. This study aims to determine the behavior and financial attitudes of students towards financial literacy using quantitative methods. The data obtained primary with the questionnaire data collection method and the intended respondents are accounting students in semesters 4 (2020/2021) FEB Palangkaraya University. Sampling was carried out using  the Slovin formula and purposive sampling technique so as to get 68 students as samples. The analytical method used is multiple linear regression and the measurement scale of the sample questionnaire value uses a Likert scale. Based on the results of partial and simultaneous regression testing, it is known that student financial behavior has no effect on student financial literacy. Students' financial attitudes have a significant effect on financial literacy. Financial attitudes are needed so that financial literacy is getting better in order to face increasingly complex financial problems in the future. From this study also, students' financial behavior and attitudes have a simultaneous effect on financial literacy, this shows financial behavior followed by the way students respond to the resources they have, leading to a wise attitude in implementing their financial literacy
PENGARUH PEMAHAMAN PERATURAN PERPAJAKAN TERHADAP KEMAUAN MEMBAYAR PAJAK DENGAN SOSIALISASI PERPAJAKAN SEBAGAI ARIABEL MODERASI
Authors: Siregar Nova Sriani , Hendrayati Sri Lestari , Oktavia Rini
Published: March 2023

This study aims to determine the effect of understanding tax regulations on tax willingness with the socialization of taxation as a moderating variable in KPP Pratama Palangka Raya. The population taken in this study is the number of individual taxpayers registered at KPP Pratama Palangka Raya in 2019, which is 150,592. With a sample of 100 individual taxpayers who are determined by the Slovin formula. Then carried out the distribution of questionnaires using Google Forms (Google Form) through various social media in the city of Palangka Raya and the number of respondents obtained was 105 respondents. . Technique of data analysis tools used validity test by looking at Pearson Correlation and reliability test seeing Cronbach's Alpha value. Hypothesis testing techniques using partial test (t test) and Moderated Regression Analysis (MRA) test. Data processing in this study used the SPSS version 25 tool. The results showed that the influence of Tax Socialization as a Moderation Variable strengthens or increases the Understanding of Tax Regulations on the Willingness to Pay Taxes for Individual Taxpayers at KPP Pratama in Palangka Raya City
Methods used for monitoring geodynamic processes on the territory of Bulgaria
Authors: Krastanov Miroslav
Published: March 2023

The territory of Bulgaria is affected by almost all dangerous geodynamic processes, such as landslides, rockfalls, erosion, debris flows, abrasion, etc. In addition, the selection of countermeasures raises the serious issue of their periodic monitoring in order to protect human life and infrastructure. The general idea of this study is to provide information about the different methods used for monitoring the above-mentioned hazardous geodynamic processes. After a comprehensive review of the available scientific developments, the author found that in the field of engineering geology, articles related to the monitoring of given processes are almost absent. The purpose of the article is to provide detailed information about the various methods of monitoring dangerous geodynamic processes and their fields of application. Due to the limitation of the article`s volume, only the main features of the utilized and available monitoring methods in Bulgaria will be presented. Hence a further, more comprehensive overview will be in a great need.
Conceptual design and preliminary data analysis for classification of plasma disruption event at Aditya-U tokamak
Authors: Joshi Ramesh , Ghosh Joydeep , Kalani Nilesh , L. Tanna R. , /Aditya-U Teams Aditya
Published: March 2023

Disruption prediction and its avoidance/mitigation is an essential part of the tokamak operations, particularly for large size tokamak as the disruptions could produce very large heat loads on diverter targets and other Plasma Facing Components (PFC), and large electromagnetic forces on the Vacuum Vessel (VV) can lead to the structural damages. It directs toward disruption research to develop methods for safe and rapid shutdown of high-power tokamak plasmas. To control or avoid the disruption, data-driven methodology using time series of relevant plasma parameters are useful with sufficient anticipation time. The Ohmically heated circular limiter tokamak ADITYA (R0 = 75 cm, a = 25 cm) has been upgraded to a tokamak named the ADITYA Upgrade (ADITYA-U) with an open diverter configuration. The data driven methodology uses supervised learning techniques for classification to develop accurate automatic classifiers from large set of discharges data which will be used for regression to determine key events of time for disruption. Based on extensive literature survey, preliminary data analysis is performed for ~ 8000 previous plasma shots from large dataset of ADITYA/ADITYA-U tokamak archival. Binary classification model is developed to separate two sets of data using Support Vector Machine (SVM) and Neural Network (NN) for ADITYA TOKAMAK. Both models are compared with test data with previous shots and validated with accuracy performance which may lead towards future development of time series data-driven model for accurate prediction of disruption event for ADITYA-U tokamak.
Bio-inspired multi-objective algorithms applied on production scheduling problems
Authors: Azevedo Beatriz Flamia , Montanño-Vega Rub´én , Varela M. Leonilde R. , Pereira Ana I.
Published: March 2023

Production scheduling is a crucial task in the manufacturing process. In this way, the managers must decide the job's production schedule. However, this task is not simple, often requiring complex software tools and specialized algorithms to find the optimal solution. In this work, a multi-objective optimization model was developed to explore production scheduling performance measures to help managers in decision-making related to job attribution under three simulations of parallel machine scenarios. Five important production scheduling performance measures were considered (makespan, tardiness and earliness times, number of tardy and early jobs), and combined into three objective functions. To solve the scheduling problem, three multi-objective evolutionary algorithms are considered (Multi-objective Particle Swarm Optimization, Multi-objective Grey Wolf Algorithm, and Non-dominated Sorting Genetic Algorithm II), and the set of optimum solutions named Pareto Front, provided by each one is compared in terms of dominance, generating a new Pareto Front, denoted as Final Pareto Front. Furthermore, this Final Pareto Front is analyzed through an automatic bio-inspired clustering algorithm based on the Genetic Algorithm. The results demonstrated that the proposed approach efficiently solves the scheduling problem considered. In addition, the proposed methodology provided more robust solutions by combining different bio-inspired multi-objective techniques. Furthermore, the cluster analysis proved fundamental for a better understanding of the results and support for choosing the final optimum solution.