bluuebunny/crossref_metadata_2025 huggingface dataset:
Endurance of biologically active phytomarkers passing through classical drug preparation of Rauwolfia serpentina:An investigation by liquid chromatography in dual mode, planar and column. Names of authors
Authors: Hazra Kalyan , Kumar Deepak , Saha Subhodip , Batule Manoj , Mondal Susmita , Debnath Sudipto , Dahiya Jyoti , Dutta Sreya , Bolleddu Rajesh , Mall Simmi , Mandal Achintya , Mangal Anupam Kumar , Singh Ravindra , Singh Arjun , Babu Gajji
Published: June 2023

Phytocompounds in medicinal plants attribute therapeutic values and are generally called biologically active markers. The fate of marker compounds comes under question when medicinal plants undergo different processes like crushing, grinding, boiling etc. These marker compounds may degrade or decompose and even attain some molecular rearrangement during these processes. As a result, medicinal plants' therapeutic activities may diminish or vanish altogether. Therefore, the efficacy of a particular dosage may not attain as it should possess, and that may be due to the change in the quantity of marker compounds present in the final product or formulation. The present study tried to determine the amount of specific marker reserpine in the root of the Rauwolfia serpentina and sarpagandha ghana satwa (an intermediate prepared from this plant) utilising densitometric HPTLC and HPLC-DAD. The qualitative presence of other secondary metabolites in root and ghana was screened through LC-MS/MS. The study revealed that the quantitative results of HPTLC (0.1742% & 0.1569% for root and ghana, respectively) and HPLC (0.1731% & 0.1535% for root and ghana, respectively) methods were almost similar, and there were no statistically significant differences between the mean values for the root and ghana. The LC-MS/MS data show that there are a few minor changes in the phytochemical array. The set of experiments revealed that secondary metabolites retain their properties in traditional processing.
The Relationship Between Optic Disc-Foveal Distance with Choroidal and Retinal Nerve Fiber Thickness
Authors: KELEŞ Hacı , ZOR Kürşad Ramazan , KÜÇÜK Erkut , BİÇER Gamze YILDIRIM , ÇİÇEK Fatih , CERANOĞLU Faruk Gazi
Published: June 2023

Purpose
The optic disc-foveal distance is very important as it is an anatomical measure of the fundus. As this distance increases and the fundus tension, there may be variability in retinal and choroidal thickness. The aim of this study was to determine the relationship between optic disc-foveal distance and choroidal and retinal nerve fiber thickness in healthy subjects.
Methods
A total of 72 people between the ages of 20–36 participated in the study. Optic disc-foveal distance was measured with a fundus camera and choroidal and retinal nerve fiber thicknesses were measured with an OCT device. Littmann's formula (t = p × q × s) as modified by Bennett was applied to correct the magnification at the fundus camera imaging stage.
Result
The thickness of the nasal choroid (p:0.005; p:0.006), subfoveal choroid (p:0.004; p < 0.001) and temporal choroid (p:0.001; p:0.001) layers decreased as the DFD increased in both right and left eyes of the individuals participating in the study, which was statistically significant. In addition, it was observed that the RNLF increased as the DFD distance increased, but this was not statistically significant.
Conclusion
This study demonstrated that the optic disc-foveal distance, an anatomical measure of the fundus, does not affect RNLF in young and healthy subjects, but choroidal thickness does.
The clinical impact of change in the neutrophil to lymphocyte ratio during the perioperative period in gastric cancer patients who receive curative treatment
Authors: Aoyama Toru , hashimoto itaru , maezawa yukio
Published: June 2023

Aim
Recently, change in the neutrophil to lymphocyte ratio (cNLR) has been shown to be a promising prognostic marker in some malignancies. The aim of the present study was to evaluate the clinical impact of the cNLR in gastric cancer patients who received curative resection.
Patients and methods
The present study included 450 patients who underwent curative treatment for gastric cancer between 2013 and 2017. The cNLR was defined as follows: cNLR = NLR at 1 month after surgery-NLR at 1 week before surgery. The prognosis and clinicopathological parameters of the increased cNLR and decreased cNLR groups were analyzed.
Results
The OS stratified by each clinical factor was compared using the log-rank test, and a significant difference was observed using a cutoff value of cNLR − 0.762. When comparing the patient background factors between the increased cNLR (≥ 0.762) and decreased cNLR (< 0.762) groups, there were no significant differences in age, sex, T status, or N status. In the increased cNLR group, the OS rates at 3 and 5 years after surgery were 87.5% and 77.3%, respectively, while those in the decreased cNLR group were 92.8% and 87.3%; which amounted to a statistically significant difference. The univariate and multivariate analyses of factors associated with OS showed that cNLR was a significant prognostic factor. When the postoperative course was compared between the two groups, the incidence rates of postoperative surgical complications and other-cause death were significantly higher in the increased cNLR group.
Conclusion
The cNLR is a significant risk factor in gastric cancer patients. Therefore, the cNLR is a promising prognostic factor for gastric cancer patients.
MICROSTATELAB: The EEGLAB toolbox for resting-state microstate analysis
Authors: Kalburgi Sahana Nagabhushan , Kleinert Tobias , Aryan Delara , Nash Kyle , Schiller Bastian , Koenig Thomas
Published: June 2023

Microstate analysis is a multivariate method that enables investigations of the temporal dynamics of large-scale neural networks in EEG recordings of human brain activity. To meet the enormously increasing interest in this approach, we provide a thoroughly updated version of the first open source EEGLAB toolbox for the standardized identification, visualization, and quantification of microstates in resting-state EEG data. The toolbox allows scientists to (i) identify individual, mean, and grand mean microstate maps using topographical clustering approaches, (ii) check data quality and detect outlier maps, (iii) visualize, sort, and label individual, mean, and grand mean microstate maps according to published maps, (iv) compare topographical similarities of group and grand mean microstate maps and quantify shared variances, (v) obtain the temporal dynamics of the microstate classes in individual EEGs, (vi) export quantifications of these temporal dynamics of the microstates for statistical tests, and finally, (vii) test for topographical differences between groups and conditions using topographic analysis of variance (TANOVA). Here, we introduce the toolbox in a step-by-step tutorial, using a sample dataset of 34 resting-state EEG recordings that are publicly available to follow along with this tutorial. The goals of this manuscript are a) to provide a standardized, freely available toolbox for resting-state microstate analysis to the scientific community, b) to allow researchers to use best practices for microstate analysis by following a step-by-step tutorial, and c) to improve the methodological standards of microstate research by providing previously unavailable functions and recommendations on critical decisions required in microstate analyses.
Spatial and temporal variations of aridity indices in Montenegro
Authors: Burić Dragan , Luković Jelena , Mihajlović Jovan , Pejović Milutin
Published: June 2023

In this article, we examine the spatial pattern and trend in aridity in Montenegro from 1961 until 2020. We use temperature and precipitation observational records from 18 weather stations to calculate three aridity (climate) indices: the De Martonne aridity index (IDM), the Lang’s rain factor (RF), and the Pinna combinative index (IP). On an annual scale, all of these three indices show humid to extreme humid atmospheric conditions in Montenegro. At the seasonal and monthly level, calculations are performed for IDM only due to methodological limitations regarding calculation of RF and IP at the seasonal and monthly scale. It was observed that winter, autumn and spring seasons exhibit very humid to extremely humid conditions Based on IDM, while the summer seasons show semi arid conditions mainly in the coastal parts of Montenegro, and neighboring inland. On the monthly level, the period from September to April characterizes humid climate conditions. The month of May shows less humid conditions, while IDM for June belongs to a category of the Mediterranean type climates. July and August exhibit semi arid conditions. Monthly results further show that IDM for the majority of the country trends negative, thus implying a general tendency towards a drier hydroclimate. Statistically significant negative IDM trends are calculated for April and August. The observed tendencies towards arid climate at the start of the vegetative season in April can significantly cause soil moisture deficit. Increasingly arid August conditions of generally high temperature and low water availability can be more detrimental to vegetation and potentially increase the risk of more frequent droughts and wildfires in Montenegro.
Life Cycle Assessment of an Institutional building using OpenLCA software
Authors: Kulkarni Abhishek , Sivakumar M. V.N.
Published: June 2023

There is a growing recognition in the construction industry of the need to reduce the environmental impacts of buildings and construction projects. This has led to a focus on quantifying and minimizing the energy, carbon, and material footprints of buildings and construction projects, as well as on implementing sustainable design strategies. The combination of tools like Building Information Modeling (BIM) and Life Cycle Assessment (LCA) are becoming more common as a way to better understand the environmental impacts and to identify opportunities for improvement. By taking a proactive approach to sustainability, the construction industry can play a key role in reducing the overall environmental impact of the built environment. This study is focuses on case study of analysing the environmental impacts of different components of building such as columns, beams, masonry, slabs in an institutional building and determining the impacts on the environment. Masonry with fired clay bricks was found to be the component with maximum environmental impacts and different alternative materials for replacement such as fly ash bricks were assessed in Open-LCA software using Ecoinvent database. Environmental impacts of fired clay bricks and fly ash bricks were compared. Results of reduction in environmental impact are presented.
Accelerating molecular docking using machine learning methods
Authors: Bande Abdulsalam Yazıd , Baday Sefer
Published: June 2023

Virtual screening (VS) is one of the well-established approaches in drug discovery which speeds up the search for a bioactive molecule and, reduces costs and efforts associated with experiments. VS helps to narrow down the search space of chemical space and allows selecting fewer and more probable candidate compounds for experimental testing. Docking calculations are one of the commonly used and highly appreciated structure-based drug discovery methods. Databases for chemical structures of small molecules have been growing rapidly. However, at the moment virtual screening of large libraries via docking is not very common. In this work, we aim to accelerate docking studies by predicting docking scores without explicitly performing docking calculations. We experimented with an attention based long short-term memory (LSTM) neural network for an efficient prediction of docking scores as well as other machine learning models such as XGBoost. By using docking scores of a small number of ligands we trained our models and predicted docking scores of a few million molecules. Specifically, we tested our approaches seven datasets that were produced in-house drug discovery studies. In one of the targets, by training only 7000 molecules we predicted docking scores for 3 million molecules with R2 (coefficient of determination) of 0.84. We designed the system with ease of use in mind. All the user needs to provide is a csv file containing smiles and their respective docking scores, the system then outputs a model that the user can use for the prediction of docking score for a new molecule.
Neuroprotection by Post-Stroke Administration of the Slow-Releasing Hydrogen Sulfide (H2S) Delivery Molecule AP39: Novel Insight into Stroke Therapy.
Authors: Pomierny Bartosz , Krzyżanowska Weronika , Skórkowska Alicja , Jurczyk Jakub , Przejczowska-Pomierny Katarzyna , Szafarz Małgorzata , Marcinkowska Monika , Torregrossa Roberta , Whiteman Matt , Pera Joanna , Budziszewska Bogusława
Published: June 2023

Ischemic stroke represents a significant global health challenge and ranks as the third leading cause of mortality worldwide, contributing to approximately 12% of total deaths. Despite extensive research endeavors, effective pharmacotherapy options for the treatment of ischemic stroke remain limited. The existing body of evidence concerning the effects of H2S donors in ischemic stroke displays conflicting and ambiguous results. In this study we assess the neuroprotective attributes of AP39, a mitochondria-targeted H2S delivery molecule with a slow-releasing mechanism, in the context of brain ischemia. To achieve this, we employed a rat model of 90-minute middle cerebral artery occlusion (MCAO). A single intravenous dose of AP39 (100 nmol/kg) was administered 10 minutes after reperfusion. Our investigation revealed that AP39 treatment yielded improvements, including a reduction in neurological deficits and infarct volume, but also preserved the integrity of the blood-brain barrier (BBB). Notably, AP39 exhibited pronounced anti-inflammatory activity, as evidenced by a decrease in the levels and mRNA expression of pro-inflammatory cytokines such as Il-1β, Il-6, TNFα, and IP10. Additionally, AP39 administration resulted in an upregulation of mRNA expression of neurotrophic factors Bdnf and Ngf, while concurrently reducing the ratios of proBDNF/BDNF and proNGF/NGF. Furthermore, AP39 treatment demonstrated an inhibitory effect on the activation of poly(ADP-ribose) polymerase 1 (PARP1), a key mediator of cellular death pathways. Collectively, our findings provide substantial evidence supporting the therapeutic potential of AP39 when administered post-ischemia, thereby highlighting its efficacy in mitigating the detrimental consequences of ischemic stroke.
SO2, silicate clouds, but no CH4 detected in a warm Neptune with JWST MIRI
Authors: Dyrek Achrène , Min Michiel , Decin Leen , Bouwman Jeroen , Crouzet Nicolas , Molliere Paul , Lagage Pierre-Olivier , Konings Thomas , Tremblin Pascal , Güdel Manuel , Pye John , Waters L. B. F. M. , Henning Thomas , Vandenbussche Bart , Martinez Francisco Ardevol , Argyriou Ioannis , Ducrot Elsa , Heinke Linus , Looveren Gwenaël Van , Absil Olivier , Barrado David , Baudoz Pierre , Boccaletti Anthony , Cossou Christophe , Coulais Alain , Edwards Billy , Gastaud René , Glasse Alistair , Glauser Adrian , Greene Thomas , Kendrew Sarah , Krause Oliver , Lahuis Fred , Mueller Michael , Olofsson Göran , Patapis Polychronis , Rouan Daniel , Royer Pierre , Scheithauer Silvia , Waldmann Ingo , Whiteford Niall , Colina Luis , Dishoeck Ewine van , Östlin Göran , Ray Thomas , Wright Gillian
Published: June 2023

The chemical composition of planetary atmospheres bears the imprint of their formation and evolution1,2. Recently, the significance of photochemistry was highlighted through the assignment of sulphur dioxide (SO2) as carrier of a feature near 4.05 μm in the spectrum of a hot (~1200 K) Saturn-mass planet3-5. However, the prevalence of photochemistry and its impact on the composition and stability of atmospheres remains unknown. Here we report the detection of two fundamental vibration bands of SO2 (~9σ) in the atmosphere of the warm super-Neptune planet6,7 WASP-107b using the Mid-Infrared Instrument (MIRI) of the James Webb Space Telescope (JWST). This discovery establishes WASP-107b as the second irradiated exoplanet with confirmed photochemistry, extending the temperature range of exoplanets exhibiting detected photochemistry from ~1200 K down to ~740 K. Additionally, our spectral analysis reveals the presence of silicate clouds, which are strongly favoured (~7σ) over simpler cloud setups. Furthermore, water (H2O) is detected (~12σ), but methane (CH4) is not. These findings provide evidence of disequilibrium chemistry and indicate a dynamically active atmosphere with a super-solar metallicity. These results highlight the importance of the mid-infrared wavelength range in unravelling the chemical and dynamical processes occurring in exoplanet atmospheres.
Efficient Object-Level Semantic Mapping with RGB-D Cameras
Authors: Zhou Benchun , Furmans Kai , Fu Yunxiang , Pang Hao
Published: June 2023

To autonomously navigate in real-world environments, mobile robots require a dense map to guarantee safety, such as a 3D occupancy map. However, this map lacks semantic information for scene understanding. On the other hand, semantic objects can be introduced to the map with the help of deep neural networks, but they may suffer from critical run-time issues due to heavy processing components. In this paper, we present an efficient semantic mapping system to incrementally build a voxel-based map with individual objects. Firstly, a frame-wise object segmentation scheme is adopted to segment 3D objects from RGB-D images. Then, a new object association strategy with geometry and semantic descriptor is proposed to track and update object information, Finally, these objects are integrated into a CPU-based voxel mapping approach to incrementally build a global object-level volumetric map. Experiments on publicly available indoor datasets show that the proposed system achieves a good semantic mapping performance. Besides, our method outperforms other object-level mapping algorithms in terms of segmentation results and computational efficiency. Furthermore, the system is evaluated within a logistical robotic platform to demonstrate the use case in real-world applications.
Adaptive Hybrid Ensemble Method for Accelerate Adaptation of Concept Drift
Authors: Wang Wenjian , Guo Husheng , Zhang Yutong , Sun Ni
Published: June 2023

Because the insufficient new distribution training samples after concept drift occurs in streaming data, the performance of online learning model degrades and cannot quickly recover. Therefore, an adaptive hybrid ensemble method for accelerate adaptation of concept drift(AHE\_A$^2$CD) is proposed. After concept drift occurs, the proposed method extracts local information from the streaming data through the weighted base classifiers located in the classifier pool. The local information is supplemented into the current data block through expanding the data to make up for the lack of current distribution data after concept drift occurs and to build an efficient local base learner that conforms to the current data distribution. On this basis, the key data information at different stages is extracted by local base learner, and the current data is adaptively selected by the data distribution to construct diverse global base learner. Through the hybrid ensemble of the high-performance local base learner and the diverse global base learner, this method can adaptively learn the changing streaming data and improve the adaptability after concept drift occurs. Experimental results show that this method can accelerate the convergence of the online learning model after concept drift occurs and improve the real-time performance of streaming data classification.
Quantitative analysis of Cu(II)-induced deterioration effects on barrier performance of soil-bentonite slurry
Authors: ZHA Fusheng , QIN Hao , XU Long , SHEN Yinbin , KANG Bo , WU Yuzhao
Published: June 2023

The soil-bentonite (SB) slurry-based barrier technology was successfully used to isolate the heavy metal contaminants at sites. While the heavy metal-induced deterioration effects arouse the urgent need for assessment of the barrier performance. In this study, experimental investigation and theoretical work were performed for quantitative analysis of the deterioration effects. Test results showed that incorporating and increasing the bentonite content in SB slurry could decrease the hydraulic conductivity and increase the contaminant retention of the barrier system. However, after experiencing the Cu(II) contamination, this barrier performance would be rapidly deteriorated and failed to meet the requirement for isolating the contaminated site, especially for Cu(II) concentrations higher than 500mg/L. On this basis, two deterioration parameters were successfully proposed for quantitative analysis of this deterioration effect from the viewpoints of hydraulic conductivity and contaminant retention. In further step, an optimal design method of a barrier system was established and confirmed using the proposed deterioration parameters, for a given service life of barrier system and Cu(II) concentration at contaminated site.
The List of Questionable Journals: Is It Trustworthy?
Authors: Tang Gengyan , Peng Jingyu
Published: June 2023

The list of questionable journals serves to stratify academic journals, distinguishing between good and bad journals, thereby providing a basis for academic information filtering and research evaluation. The formulation of such lists has been a topic of controversy in the literature, with limited attention paid to whether the criteria used to stratify journals in these lists can be trusted. In this study, we take the example of the warning journal list published by the National Science Library of the Chinese Academy of Sciences and categorize the journals based on their warning levels and warning years. Then, we compare them to determine if there are differences in key academic indicators, thereby analyzing whether the journal lists effectively identify academic journals with quality risks. Our study found that the patterns of differences in key academic indicators among different journal stratums were not consistent, and the same inconsistency was observed during the mobility between stratums. Furthermore, citation metrics such as Journal Impact Factor and Journal Citation Indicator may not have been considered as criteria for stratifying journals in the warning journal list, but this lack of detailed explanation from the creators. This indicates that the list of questionable journals needs to be more scientifically evaluated, and there is a greater need for sharing detailed criteria and data. Our study also provides recommendations for institutions in the future when formulating lists of questionable journals.
Criterion for the resemblance between the mother and the model distribution
Authors: Sheena Yo
Published: June 2023

If the probability distribution model aims to approximate the hidden mother distribution, it is imperative to establish a useful criterion for the resemblance between the mother and the model distributions.
This study proposes a criterion that measures the Hellinger distance between discretized (quantized) samples from both distributions. Unlike information criteria such as AIC, this criterion does not require the probability density function of the model distribution, which cannot be explicitly obtained for a complicated model such as a deep learning machine. Second, it can draw a positive conclusion (i.e., both distributions are sufficiently close) under a given threshold, whereas a statistical hypothesis test, such as the Kolmogorov-Smirnov test, cannot genuinely lead to a positive conclusion when the hypothesis is accepted.
In this study, we establish a reasonable threshold for the criterion deduced from the Bayes error rate and also present the asymptotic bias of the estimator of the criterion. From these results, a reasonable and easy-to-use criterion is established that can be directly calculated from the two sets of samples from both distributions.
MSC(2010) Subject Classification: Primary 60F99, Secondary 62F12
Crime Concentration and Hot Spot Dynamics: An Examination of Homicides in Santa Fe, Argentina
Authors: Hoet Mariano Javier
Published: June 2023

This study aimed to facilitate a general understanding of the spatial concentration of crime in Latin America. Thus, the spatial concentration of homicides committed in the Argentine city of Santa Fe between 2001 and 2020 was examined. In addition, this study examined the temporal stability of the concentration and trajectories of the identified hot spots. The results were contrasted with the “law of crime concentration” proposed in a previous study and with the results of other studies on crime concentration conducted in the region of Latin America. The findings suggested that homicides committed in the city of Santa Fe were spatially concentrated and that their concentration levels had remained stable over the years. Although two-thirds of the microunits did not experience homicides during the analysis period (2001–2020), a disproportionate number of homicides occurred in a small group of microunits. The study findings will prove useful in decision-making regarding place-based crime prevention strategies.
Rethinking resilience using the r-factor:
Neurobiological mechanisms of static and dynamic components of resilience following trauma
Authors: Rooij Sanne van , Santos Justin , Hinojosa Cecilia , Ely Timothy , Harnett Nathaniel , Murty Vishnu , Lebois Lauren , Jovanovic Tanja , House Stacey , Bruce Steven , Beaudoin Francesca , An Xinming , Neylan Thomas , Clifford Gari , Linnstaedt Sarah , Germine Laura , Bollen Kenneth , Rauch Scott , Haran John , Storrow Alan , Lewandowski Christopher , Musey Paul , Hendry Phyllis , Sheikh Sophia , Jones Christopher , Punches Brittany , Swor Robert , Pascual Jose , Seamon Mark , Harris Erica , Pearson Claire , Peak David , Merchant Roland , Domeier Robert , Rathlev Niels , O'Neil Brian , Sanchez Leon , Joorman Jutta , Pizzagalli Diego , Sheridan John , Harte Steven , Kessler Ronald , Koenen Karestan , McLean Samuel , Ressler Kerry , Stevens Jennifer
Published: June 2023

Resilience is a dynamic process of recovery after trauma, but in most studies it is conceptualized as the absence of specific psychopathology following trauma. Using the large emergency department AURORA study (n=1,865, 63% women), we took a longitudinal, dynamic and transdiagnostic approach to define a static resilience (r) factor, that could explain >50% of variance in mental wellbeing 6-months following trauma, and a dynamic r-factor, which represented recovery from initial symptoms. We assessed its neurobiological profile across threat, inhibition, and reward processes using fMRI collected 2-weeks post-trauma. Our neuroimaging results suggest that resilience is promoted by activation of higher-level cognitive functioning and salience network regions in response to reward, whereas resilience is hampered by top-down attention and default mode network activation to threat and reward. These findings serve to redefine the concept of resilience as both dynamic and multifaceted, and identify mechanisms that promote resilience after trauma for early interventions.
Tocopherols, Phylloquinone, Ascorbic Acid, and Sugar Contents in Hydroponically Grown Lettuce
Authors: Murray Jesse J. , Latimer Scott R. , Simonne Amarat H. , Basset Gilles J. , Hochmuth Robert C. , Sandoya Germán V.
Published: June 2023

Growing vegetables in controlled environments (CEs), such as hydroponics, aquaponics, and vertical structures, is a rapidly expanding industry in Florida and the United States, especially in nearby urban areas. Although lettuce (Lactuca sativa) is still mostly produced in fields, growing in CEs proximal to urban areas has become increasingly popular because it may facilitate reduced transportation time and associated postharvest degradation. Lettuce is among the top-most consumed vegetables in the United States and could provide some of the nutrition missing in the US diet. This research was planned to understand the levels of some vitamins that are key for human health, including vitamin E (tocopherols), vitamin K1 (phylloquinone), and vitamin C (ascorbic acid), in lettuce grown in greenhouse hydroponics. Lettuce germplasm was grown using the hydroponic nutrient film technique system in three greenhouse experiments: at the beginning, middle, and end of the Florida, USA, growing season (from Aug 2020 to Mar 2021). Genetic variation for these vitamins were found among the germplasm tested in the four morphological types of lettuce, romaine, Boston, Latin, and leaf. In addition, a sugar analysis was conducted in this germplasm, of which fructose was the most abundant sugar. A significant genotype × environment (G × E) interaction was observed, indicating that the levels of these compounds, especially vitamins, was environment dependent. However, the presence of certain non-crossover G × E interactions indicates that selecting lettuce in a representative environment could result in new cultivars with higher vitamin content. This research marks the initial steps to improve lettuce for these vitamins, which can contribute to better health of US consumers, not for the highest amount of these compounds in lettuce but for the offset due to its high consumption.
Does Quit Smoking Desire Influence E-Cigarette Smoking Behaviour? Malaysian Perspectives
Authors:   Department of Mass Communication, Universiti Tunku Abdul Rahman, Selangor, Malaysia, Santhidran Sinnappan , Periyayya Thinavan ,   Department of Mass Communication, Universiti Tunku Abdul Rahman, Selangor, Malaysia, Mastor Khairul Anwar ,   Pusat Pengajian Citra Universiti, Universiti Kebangsaan Malaysia, Selangor, Malaysia, Idris Idayu Badilla ,   Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Published: June 2023

Recent years have witnessed an emerging trend of e-cigarette smoking in Southeast Asia. On the basis of Malaysian perspectives, this cross-sectional study explored the relationship between e-cigarette smoking behaviour and variables such as perceived health benefit, the desire to quit, social acceptance, social impact and product usefulness. Individuals aged 17 years old and older were recruited via purposive convenience sampling, yielding a total sample of 503 respondents. Collected data were analysed via partial least squares-structural equational modelling. The results showed that perceived heath benefit (ß = 0.19, P < 0.01), social acceptance (ß = 0.23, P < 0.01) and social impact (ß = 0.49, P < 0.01) positively influence e-cigarette smoking behaviour. No such effect is exerted by the desire to quit smoking (ß = 0.08, P < 0.05) and product usefulness t (ß = –0. 10, P < 0.05). Future studies should examine whether demographic variables affect e-cigarette smoking behaviour.
CORRELATIVE STUDY OF CORONARY ARTERY DISEASE SEVERITY AND GLYCOSYLATED HEMOGLOBIN IN DIABETIC AND NON-DIABETIC PATIENTS
Authors:   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India., Manchu Deepthi , S.V. Srinivasa ,   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India., L. Yashwanth ,   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India., V. Kiranmai ,   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India., Mehta Charchit ,   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India., V. Meghashri ,   Department of Medicine, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India.
Published: June 2023

Context: Diabetes mellitus and coronary heart disease are closely associated with each other and generally coexist. The severity of coronary artery disease is related directly to the quality of glucose control in diabetic patients Aims: To correlate coronary artery disease severity and glycosylated hemoglobin in diabetic and non-diabetic patients. Settings and Design:Study site: This study was conducted in the department of General Medicine at Sri Devaraj Urs Academy of Higher Education and Research, Kolar.Study design: The was a descriptive observational cross-sectional study. Methods and Material:Descriptive observational cross-sectional study conducted for a period of 1.5 years from January 2019 to June 2020. A total of 400 subjects were included in the final analysis. Statistical analysis used:Categorical outcomes were compared between study groups using Chi square test /Fishers Exact test .P value < 0.05 was considered statistically significant. IBM SPSS version 22 was used for statistical analysis.63 Results:The mean age of the participants was 57.97 Â± 11.59. Majority of the participants were males with 82.25%. ST-elevation MI, non-ST elevation MI, unstable angina, and stable angina were the clinical presentation identified with 61.25%, 18.5%, 11.25% and 9% respectively. Troponin I was elevated in 80.5% of the participants. NSTEMI and STEMI were identified in 18.5% and 61.25% of the participants. The mean of LV Function in the study population was 47.32 Â± 10.15. Among the study population, LMCA was identified in 9.25% whereas, Whereas, LCX and RCA in 52.25% and 65%. The mean of Hba1C in the study population was 7.47 Â± 2.26. Conclusions: Increased HbA1c levels in the diabetes group was significantly associated with severity of CAD.
DOUBLE SOLUBILITY OF KEROGEN AND CARBONATES FROM TARFAYA OIL SHALE (MOROCCO) BY POTABLE WATER, DISTILLED WATER OR SEAWATER FROM THE ATLANTIC OCEAN
Authors:   Department of Chemistry, Faculty of Sciences Ben msik Casablanca, University Hassan II Morocco., Aitlahcen Amina , Khaya Asmaa ,   Department of Chemistry, Faculty of Sciences Ben msik Casablanca, University Hassan II Morocco., Attaoui Abdeljabbar ,   Department of Chemistry, Faculty of Sciences Ben msik Casablanca, University Hassan II Morocco.
Published: June 2023

The solubility of the materials contained in oil shale has often been questioned. Ordinary water coming directly from purification stations or partially distilled water are of primary interest in the energy industry for exploitation or research. Similarly, given that a large proportion of the Tarfaya oil shale is immersed in the Atlantic Ocean, we thought it would be interesting to study the effect of these types of water on the solubility of kerogen under physical conditions of moderate temperature. Ultra-violet and infra-red spectroscopy was used in this work. As the identification energy of the ultraviolet is fairly high compared with the infrared and visible. We were able to follow the evolution of heavy matter from kerogen. The effect of temperature was also highlighted. Spectroscopic identification uses radiation of varying energies depending on the compounds to be detected. For example, for infrared, the energy used to identify substituted unsaturated aliphatic is higher than that used to identify substituted unsaturated monocyclic. As far as our work is concerned, the energy used for identification by UV is sufficiently higher than that for infrared, which means that the compounds to be detected from oil shale can only be heavy hydrocarbons (branched and multisubstituted unsaturated aliphatic chains). Similarly, supercritical fluid extraction using water and other solvents such as toluene is often used to determine the different fractions of organic compounds in oil shale. We are going to use three analytical methods to highlight this solubility in seawater (subsequently the solubility in distilled water), which are ultra-violet spectroscopy, infra-red spectroscopy and the determination of carbonates (mineral matter) by complexometry.
FETOMATERNAL OUTCOME IN EARLY ONSET SEVERE PRE ECLAMPSIA
Authors:   Department of Obstetrics & Gynaecology, Government Medical College, Kota., Goyal Preeti , Kumar Shukla Payam ,   Department of Obstetrics & Gynaecology, Government Medical College, Kota., Meena Priyanka ,   Department of Obstetrics & Gynaecology, Government Medical College, Kota., Saxena Bharti ,   HOD &Senior Professor, Department of Obstetrics & Gynaecology, Government Medical College, Kota., Prasad Rawat Rajendra ,   Senior Professor, Department of Obstetrics & Gynaecology, Government Medical College, Kota., Meena Santosh ,   Associate Professor, Department of Obstetrics & Gynaecology, Government Medical College, Kota.
Published: June 2023

Introduction:Preeclampsia is a multisystem disorder occurring exclusively during pregnancy whose exact etiology is yet unknown. It occurs in approximately 5-7% of pregnancies. Early onset preeclampsia (<34 weeks gestational age) occurs in less than 1% of pregnancies and is often associated with maternal morbidity as the riskof progresÂ­sionto severe maternal disease is inversely related with gestational age at onset. Material And Methods:100 pregnant women admitted to labor room in the department of OBG, Govt. medical college,Kota Rajasthan between 1 February 2021 â€“ 31 January 2022who fulfilled the criteria ( Gestational age â‰¥ 24 weeks &< 34 weeks , diastolic BP â‰¥ 110 mm Hg, with any features of severe pre eclampsia ) were included in this study . Results:In the present study, Out of 100 patients of early onset severe preeclampsia was more common in Primigravida 59(59%)in the age group of 21-30 years. Mean gestational age at diagnosis was 31weeks 3 days Â± 2weeks 3 days. Most underwent termination of pregnancy after 32 weeks. Maternal indication was found to be the most common cause for termination. 31(31%) patients of the total experienced complication like imminent eclampsia, HELLP syndrome ,Acute renal failure and abruption placentae . 65 (65%) delivered by caesarean section. Mean birthweight was 1.59 kg Â± 0.5kgand neonatal complication rate was 71(71%). Conclusion:Early onset severe preeclampsia is associated with significant maternal and fetal complications. Decision regarding termination of pregnancy has to be taken based on both maternal and fetal factors.
The role of family businesses and active family members in environmental performance
Authors: Joko Pramono Agus , Akbar Bahrullah , Tarigan Bahagia , Rusmin Rusmin , Wahyu Astami Emita
Published: June 2023

There is a growing concern about environmental issues, particularly carbon emissions, in many countries. Indonesia, with its huge population, also suffers from excessive carbon emissions. This study aims to investigate the effect of family businesses on environmental performance, specifically carbon emission disclosure. This study also explores the role of the family supervisory board and management on the quality of carbon emission disclosure. The study employed 62 non-financial family-listed firms in 2017–2019 (186 observations). The analysis found a positive and significant relationship between family enterprises and the disclosure of carbon emissions, implying that family firms expose more information about their carbon emissions. It also revealed a significant positive association between the family supervisory board and carbon emission performance, suggesting that having family members on the supervisory board aligns with policies for reducing and maintaining accountability for carbon emissions. In summary, the findings suggest that family enterprises prefer to exercise their indirect control by holding a position on the supervisory board and owning a substantial percentage of the company’s stock corresponding to their socio-emotional wealth agenda. Additionally, there is a non-linear association between family firms and the disclosure of carbon emissions. Carbon emission performance decreases as family share ownership rises to 53.1% but increases when family equity exceeds this cut-off point. Finally, family shareholders in non-polluted firms report higher quality of carbon emission disclosure.
Update of the federal governmental statistical surveillance form № 3-DOZ “Data on patient doses from medical X-ray examinations”. Perquisites for the update
Authors: Vodovatov A. V. , Chipiga L. A. , Bratilova A A. , Druzhinina P. S. , Shatskiy I. G. , Petryakova A. V. , Sarycheva S. S. , Biblin A. M. , Akhmatdinov R. R. , Kapyrina Yu N. , Soldatov I. V. , Puzyrev V. G. , Ryzhov S. A.
Published: June 2023

Analysis of levels of exposure of public of the Russian Federation by sources of ionizing exposure is one of main parts of the activities conducted by the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing. Data on the doses of public of the Russian Federation from medical exposure on facility, regional and federal levels is collected using the form of federal governmental statistical surveillance № 3-DOZ “Data on patient doses from medical X-ray examinations”, that is active since 2000. For the last 20 years there were no significant updates of the form № 3-DOZ. According to the decision of the Board of the Rospotrebnadzor from 11.09.2020, a complex program on update and modernization of form № 3-DOZ was initiated, that has resulted in the approvement of new form № 3-DOZ by the order of Rosstat № 880. The form has been significantly changed to reflect the modern condition of X-ray diagnostics in the Russian Federation. The aim of the current study was to analyze main components of medical exposure dose data collection system that required update and modernization. The study was performed based on the results of assessment of the forms № 3-DOZ from different medical facilities and regions in 2015-2020. The results of the study allowed developing main approaches to the update of the form № 3-DOZ that were implemented in a new edition of the form.
Memories of the first years of work in the Leningrad Research Institute of Radiation Hygiene
Authors: Arkhangelskaya G. V.
Published: June 2023

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SENSITIVE SPECTROPHOTOMETRIC DETERMINATION OF TRIPROLIDINE HYDROCHLORIDE DRUG IN THE CAPSULES VIA ION PAIR COMPLEX FORMATION
Authors: Abdulrahman Sameer , Qazzan Jalal
Published: June 2023

The objective of this study was to develop two simple and selective visible spectrophotometric methods for the determination of antihistamine drug triprolidine hydrochloride (TRH) in the capsules. The methods were based on the formation of ion-pair complexes between TRH and two dyes, namely, bromocresol green (BCG) and bromophenol blue (BPB). The produced ion-pair complexes were measured at 415 and 410 nm for BCG and BPB methods, respectively. Beer’s law was applicable in the concentration ranges of 2.50-15.0 µg mL-1 TRH for both methods. The molar absorptivity values were found to be 2.12 × 104 and 2.07 × 104 L mol-1 cm-1 for the BCG method and BPB method, respectively, and the Sandell’s sensitivity values were 0.0149 and 0.0152 µg cm-2. The limits of detection and quantification were calculated and found to be 0.29 and 0.86 µg mL-1 for the BCG method and 0.31 and 0.95 µg mL-1 for the BPB method. The methods were applied successfully for TRH determination in bulk drug and in the capsules.
Explorando un sistema de control de la consanguinidad vía toros de inseminación en sistemas de producción cerrados carentes de registros genealógicos
Authors: Piñeira Vargas Jaime Enrique , Gebauer Mery Francisco Javier
Published: June 2023

Si en un sistema de producción animal se sobrepasa un umbral de consanguinidad (F) promedio (en torno al 6,25%), pueden comenzar a surgir una serie de anomalías como la aparición de enfermedades autosómicas recesivas, disminución en la capacidad de respuesta inmune y en los promedios productivos y reproductivos de los rebaños, fenómeno conocido como depresión endogámica. Este problema puede verse magnificado en sistemas de producción en los que la mejora genética se realiza a través de inseminación artificial (IA) pues, en varios países, se ha informado de elevados grados de parentesco familiar entre toros de inseminación pertenecientes a una misma raza. En el presente estudio se exponen los resultados de la simulación de una estrategia para el control de la consanguinidad en rebaños productivos de la raza Aberdeen angus, basada en la gestión de registros genealógicos de toros de inseminación. Los resultados del presente estudio indican que, en teoría, es posible implementar programas de control de la consanguinidad en planteles productivos de bovinos de carne sometidos a IA, a través de una estrategia que no dependa de la existencia de registros genealógicos prediales, sino que de los registros de los toros de inseminación. Dicha estrategia dependería únicamente de la información proporcionada a los productores por parte de las empresas proveedoras de semen. Sin embargo, el método propuesto no es aplicable a criaderos de reproductores, los cuales no pueden prescindir de registros genealógicos y de un control de la consanguinidad que considere apareamientos de mínimo parentesco.
Adapted digital domino game: Teaching multiplication to children
Authors: De Souza Silvia Regina , Gris Gabriele , Gamba Jonas , F. da Rocha Maria Luiza , Dos Santos Carmo João
Published: June 2023

Developing and evaluating additional tools for teaching Mathematics, such as games, can contribute to improving student engagement and, consequently, their performance. This study evaluated the effects of an adapted digital domino game, based on the stimulus equivalence paradigm, developed for teaching relationships between numerals (A), sets of dots (B), and multiplication operations with numbers (C) and in a scale format (D). Five children with low performance in solving multiplication operations participated. Numeral naming skills, set naming skills, and multiplication operations were assessed in the Pretest. Then, ABBA, ACCA, and DCCD relationships were taught and BCCB, ADDA, and DBBD relationships were tested. Probes were performed throughout the study. Categorized behavior records assessed usability and engagement in the game. All participants learned the relationships taught and showed the emergence of the tested relationships, and an increase in the percentage of correct answers for the operations in the two formats and with unknowns in the three different positions.
Preparación sistémica para la e-salud: Caso de estudio para la vigilancia nutricional infantil Wayúu
Authors: Merchán-Rubiano Sandra Milena , Deaza Gómez Paula Ximena
Published: June 2023

Propósito: el propósito del presente artículo es presentar un marco de trabajo para la evaluación y maduración de la preparación de sistemas e-salud, a partir de la experiencia en la formulación y evaluación de madurez tecnológica de un sistema de vigilancia intersectorial para la salud nutricional infantil Wayúu. Es útil para valorar la preparación de las soluciones e-salud de manera integrada para todos los componentes del sistema, desde cuatro dimensiones y en seis niveles de preparación, que cubren la fase de investigación básica y demostración de la solución. Problema: dicho marco de trabajo responde a la necesidad emergida de integrar otros referentes de preparación/maduración tecnológica, diferentes a la escala TRL (Technology Readiness Levels), en consideración de sus posibilidades y limitaciones. Método: el marco de trabajo se construye con un método en tres momentos: fundamentación, síntesis conceptual y concreción; y se formula hibridando las escalas TRL, HRL, EHRA, SRL. teniendo en cuenta los principios de la investigación e innovación responsables. Resultados: los resultados se discuten en referencia los aportes que hace el marco de trabajo a los equipos de investigación para la comprensión holística de los sistemas para la e-salud, la responsabilidad ética y social de los procesos de investigación y desarrollo, y la necesidad del abordaje inter o transdisciplinar.