bluuebunny/crossref_metadata_2025 huggingface dataset:
Cephalodesmius carminya, a new flightless dung beetle species from the Central Mackay Coast, Queensland.
Authors:   Queensland Museum, Ebert Kathryn M , Gunter NIcole L ,   University of Queensland
Published: March 2024

A new species from the genus Cephalodesmius Westwood (Coleoptera: Scarabaeidae: Scarabaeinae) is described from the Cental Mackay Coast bioregion, Queensland extending the northern range of the genus. Cephalodesmius carminya Ebert & Gunter new species is known from two localities in the Pine Mountain, Carminya Forest Reserve and 2.5 km west of Eungella dam. A key to the four species of Cephalodesmius is provided and we discuss morphological similarities between Cephalodesmius and its closest relative Canthonosoma Macleay.
POSTPARTUM DEPRESSION AND SOCIAL SUPPORT: A CROSS-CULTURAL ANALYSIS OF THE PAKISTANI POPULATION
Authors: ISMAIL A , DAR M , JAFFRI S , IQBAL SS , MUHAMMED MA , JAHAN F
Published: March 2024

The study investigates the prevalence of depression among pregnant women and its association with demographic, maternal, and socioeconomic characteristics. Participants were recruited for a year from healthcare facilities from Rural Health Center Kangra, District Haripur, Khyber Pakhtunkhwa, Ayesha Sakeena Medical Complex, Raiwind, Lahore, Creek General Hospital, Korangi, Karachi and Ayub Teaching Hospital, Abbottabad, Khyber Pakhtunkhwa, from September 1, 2022, to August 31, 2023. Among 374 women screened for depression, 39.03% screened positive, with a final sample of 179 pregnant women analyzed. Participants, predominantly aged 21-28, were in the second (81%) or third (19%) trimester. Maternal depression (64%) was linked to factors like inadequate income, lack of empowerment, poor wealth index, family debt, and insufficient funds for food. Socioeconomic challenges, coupled with inadequate social support and extensive household responsibilities, contribute to the complex landscape of maternal depression. Comprehensive interventions addressing economic hardships, mental health support, and social networks are crucial for improving maternal well-being during pregnancy.
FACTORS INFLUENCING INTEGRATED MANAGEMENT OF NEWBORN CHILDHOOD ILLNESSES (IMNCI) UPTAKE AMONG CHILDREN IN CMH GILGIT, PAKISTAN
Authors: BURIRO NA , FATIMA A , KHAN SA , ZEHRA SE , KUMAR V , JOKHIO F , KHOSO MH
Published: March 2024

In developing countries, about 9 million children die before reaching the age of 5 every year, with 70% of these deaths attributable to five central diseases (measles, diarrhea, pneumonia, malaria, and malnutrition). The World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) have recognized the importance of early care-seeking and have developed the "integrated management of childhood illness" to promote proper healthcare practices within families and communities and decrease the mortality rate of children under five in developing countries. This study aimed to improve the health-seeking behaviour of mothers and reduce the burden of disease in children under five, with specific objectives to assess the factors affecting the uptake of integrated management of childhood illness (IMNCI) and the health-seeking behaviour of mothers. Using a structured questionnaire, a hospital-based cross-sectional study was conducted on 156 randomly selected parents of patients at CMH, Gilgit, from August to December 2016. The chi-square test determined associations between different factors and mothers' health-seeking behaviour. The results showed strong associations at p=0.05 and a 95% confidence interval with n=156. Strong associations were found between the first care given and the head of the family (p=0.02) and between health problems and the head of the family (p=0.01). The findings also indicated a strong relationship between the head of the family and restrictions when seeking care for a sick child (p=0.00). Maternal education positively impacts health outcomes, leading to fewer family restrictions, early identification of problems, and improved decision-making when seeking healthcare.
Correlation between Therapeutic Drug Monitoring of Infliximab Serum Trough Levels and other Biomarkers in Iraqi Patients with Crohn's Disease
Authors: Saleh Hussein Hazim , Khadim Dheyaa Jabbar , Hussein Raghad Jawad
Published: March 2024

Background: Inflammatory bowel disease (IBD) is a collection of chronic, recurrent inflammatory illnesses of the gastrointestinal system, including Crohn's disease (CD). Infliximab is one of the biological medications used to treat CD. Therapeutic drug monitoring has evolved as a treatment in IBD, aiming to optimize benefit while meeting more demanding, objective end criteria. Objective: To determine the achievement of target trough level (TL), develop anti-drug antibodies (ADAs) to infliximab, assess response to therapy, and study TL relations with different variables. Methods: The present study was cross-sectional and conducted from May 2022 to November 2022. It included 40 CD patients allotted into 2 groups: group 1 patients achieved the TL target, and group 2 patients did not achieve the TL target. Results: Twenty-two patients achieved target TL, while 18 patients did not. Dose escalation is recommended for 11 patients, switching therapy for 15 patients, and continuing the same dosage regimen for 14 patients. In addition, erythrocyte sedimentation rate, C-reactive protein, serum calprotectin and ADAs were significantly lower in patients who achieved target infliximab TL. Only serum calprotectin can be used to predict the achievement of the target TL of infliximab. Conclusions: Therapeutic drug monitoring of infliximab to determine the TL and ADAs can help to explain why some patients do not respond to this drug. Serum calprotectin may be used as a novel marker to predict the TL and response to infliximab.
What’s going on in the clinical examination room?-An exploratory and comparative study of two types of clinical exams and their meaning for nursing students in the final year of the nursing education
Authors: Jensen Christina , Bertelsen Tanja E. , Kuipers Frederik L. , Jessiman Sofie R. , Andersen Lene R. , Sørensen Astrid G. , Larsen Niels S. , Bernild Camilla
Published: March 2024

This study is an education experiment based on a comparative approach, where two clinical exams – a bedside exam and a written case study exam – are investigated simultaneously. The article explores what’s going on in the two exams and how nursing students assess and experience them. Based on these findings, we discuss the types of logics, knowledge, and competencies the two exams enhance and limit, respectively. Data consists of a questionnaire survey with 104 students (56/48), observations of twelve exams (6/6), followed by two focus group interviews with nurse students. The analysis shows that the bedside exam enhances ‘knowing-in-action’, ‘reflection-in-action’, ‘shows how’ and ‘does’ by its focus on nursing actions. It is unpredictable and promotes ‘logics of relational care, care production and care education'. The written case study exam enhances ‘reflection-on-action’, ‘knows’ and ‘knows-how’ by its focus on theoretically based reflections on nursing practice. It is predictable and enhances ‘logic of care education’.
An innovative learning strategy for improving clinical judgment among undergraduate nursing students: A reflection
Authors: Davis Suja P. , Davis Bethany L.
Published: March 2024

The National Council of State Boards of Nursing developed next generation (NextGen) NCLEX questions to improve the clinical judgment of pre-licensure nursing students.  In an innovative group assignment in a public university, second-semester ABSN students used case scenarios to write NextGen questions in various styles. Students were prepared for this project in the first semester. Each student group completed the group assignments every week. After the faculty review, the completed assignments were shared with the entire class every week. A six-item Qualtrics survey evaluated the project learning outcomes with two open-text questions. The combined response rates for the agree and strongly agree responses ranged from 76% to 94%, indicating that the students had a positive perception of this assignment. In open-text analysis, the students reported improvement in critical thinking skills, teamwork, collaboration, positive experiences, group dynamics, and exam preparation.
Markov Chain analysis of rainfall of Coimbatore
Authors: NANDHINI C. , PATIL S. G.
Published: March 2024

Rainfall is considered one of the most important weather parameters which helps in deciding the time of sowing, pest and disease management and harvesting. Markov chain analysis deals with predicting future values based on past values. In the present study, Markov Chain analysis was used to predict the future probability of monthly rainfall and examine the pattern and distribution of rainfall using daily rainfall data from the year 1982 to 2016 (34 years) in the Coimbatore district. This study mainly analysed the probability of rainfall in the Coimbatore district of Tamil Nadu based on Markov chain process. Based on the National Center for Hydrology and Meteorology, the intensity of rainfall per day was categorized and a day is considered as no rain if rainfall was less than 0.1 mm, low rain if rainfall was between 0.1 mm to 10 mm, moderate rain if rainfall was between 10 mm to 20 mm and heavy rain if rainfall was above 20 mm. By calculating the transition probability matrices and steady-state probability matrices for each month based on the conditional probability of rain on a particular day given that rain on the previous day which is to predict the state of rainfall on the next day. This study reported that the availability of water for crop production is higher during the winter, pre-monsoon, the onset of the southwest monsoon, and at the end of the northeast monsoon. There may be a scarcity of water from August to November for agricultural activities. Based on this study, farmers can plan for a better cropping system in advance to get a better yield.
Assessment of rainfall erosivity for Bundelkhand region of central India using long-term rainfall data
Authors: GUPTA A. , SAWANT C. P. , KUMAR MUKESH , SINGH R. K. , RAO K. V. R.
Published: March 2024

Prevention of soil erosion requires long term assessment of rainfall erosivity and other related variables of the region. In the present study, four variables related to rainfall erosivity i.e. modified Fournier index (MFI), rainfall erosivity (R) factor, erosivity density (ED) and precipitation concentration index (PCI) were calculated. Long-term (1901-2021) daily rainfall data of Bundelkhand region (Central India) were used in the analysis. The above variables were assessed for spatial and temporal variability on annual and seasonal scale. The R-factor values range from 3010.61 MJ.mm ha-1 h-1 to 5346.53 MJ.mm ha-1 h-1, showing the region belongs to moderate to severe erosivity class. The mean annual R-factor, MFI, ED and PCI values for the Bundelkhand region were calculated as 4072.86 MJ.mm ha-1 h-1, 270.55 mm, 19.13 MJ ha-1 h-1 and 28.88, respectively. This study provides the insights of soil erosion problems of Bundelkhand region and would help in adopting the preventive measures and watershed development activities.
Influence of rice straw biochar addition on soil traits and nutrient uptake of Artichoke (Cynara cardunculus)grown in Mercury-contaminatedsoils
Authors: MURTAZA GHULAM , USMAN MUHAMMAD , HAIDER FANOOS
Published: March 2024

The present pot experiment was therefore conducted to investigate the effect of biochar application on the selected properties of mercury polluted soils and uptake of Artichoke (Cynara cardunculus) grown in polluted soils.Biochar obtained from rice straw was added at various rates (0, 5, 10 t/ha) on the soil artificially contaminated with mercury at a different concentration (0, 10, 20 ppm). The research indicated a significant (P < 0.01) improvement in electrical conductivity, pH, available phosphorus, total nitrogen, exchangeable bases, cation exchange capacity and organic carbon owing to biochar addition.Additionally, uptake of potassium, phosphorus and nitrogen by Artichoke (Cynara cardunculus) was significantly enhanced by biochar application. A significant decrease in uptake of mercury owing to biochar application was also noticed in heavily mercury-contaminated soil (20 ppm). Hence, biochar application is mostvital to improve soil quality and fertility, improve nutrients uptake, amend Hg contaminated soil and decrease the quantity of carbon formedowing to the biomassburning.
Modeling rainfall extremes along the coastal and Northern parts of Ghana
Authors: TWUMASIANKRAH SAMPSON , PELS WILHEMINA ADOMA , NADARAJAH SARALEES
Published: March 2024

The main objective of the study was to determine the appropriate distribution for extreme rainfall along the coastal and northern sectors of Ghana. For stakeholders and policymakers to make appropriate risk-mitigating measures to lessen the damage caused by flood and drought, it is necessary to make proper inferences about extreme rainfall. In this study, we used both the multivariate and univariate extreme value data analysis approaches. The Generalized Extreme Value (GEV) with the Block Maxima approach and Generalized Pareto Distribution (GPD) with the Peak over the threshold (that is all excesses and decluster peaks approaches) were used in this study. Historical gridded monthly maximum rainfall data from 1970 to 2020 were obtained from the Climatic Research Unit and were grouped as the coastal and northern stations. The Maximum Likelihood Estimation method was used to estimate the model parameters, and both the unit root test and the Mann-Kendall tests were used to test for trend in the data. With the multivariate extreme modelling approach, the logistic bivariate GEV model was chosen as the “best” model. However, the dependence value was 0.965, so the extreme rainfall should be modelled independently using the univariate extreme value approaches. Hence, based on the information criteria and analysis of deviance approaches, the GEV distribution was considered the “best” fit for the extreme rainfall dataset for the northern part of Ghana. In contrast, the GPD distribution was the “best” fit for the coastal station. Comparatively, for the volume of rainfall in the year 2020, the extreme rainfall is expected to be higher in the coastal station of Ghana in the next two years. Also, extreme rainfall in 2 years would not exceed the maximum occurrence of rainfall (279.267), which happened in September 2020 at the northern station of Ghana.
Application of nature-inspired computing and implementation of algorithm for earthquake detection
Authors: KUMARI PRIYANKA , KUMAR SUNIL , GIRI RAM KUMAR , PATHAK LAXMI
Published: March 2024

Improve learning techniques and to prepare reference entropy which measures from the field of information theory, building upon entropy  generally calculating the difference between two probability distributions. Cross-entropy can be used as a loss function when optimizing classification models like logistic regression and artificial neural networks. The performance of the proposed neural network with respect to cross entropy is presented in this research.  The performance can be improved by including more data and optimization. The proposed research work will be used for time series data of events detection and prediction such as seismic event’s (Earthquake).The point of the present work is to tune the suitable algorithms for meaningful detection of the disastrous earthquake events and to generate the proper timely warning to the public.
A study of extreme rainfall events and urban flooding over Hyderabad, October 2020
Authors: SINGH GAURAVENDRA P. , KHOLE MEDHA , SHINDE ARCHANA , BHANDARI SUNITA
Published: March 2024

The present study analyses and describes the evolution of the Mesoscale Convective Complex (MCC) and its atmospheric conditions during Extreme rainfall event in Hyderabad, on 13th October 2020. This extreme weather event was a mesoscale event embedded in a synoptic-scale system. During the second week of October 2020, a depression formed over the west-central Bay of Bengal (BoB) and travelled north-westwards through peninsular India, causing heavy rains in Andhra Pradesh and Telangana states of India on October 13-14. On October 13, many parts of Hyderabad and Cyberabad received more than 300 mm of rain within 24 hrs. Satellite imagery suggests that this mesoscale system constituted a unique set of structured convection those reported in MCC. This MCC has a cloud shield with a continuous low IR temperature of less than - 33 °C over an area of more than 100000 km2 and a cloud shield with a continuous low IR temperature of less than -54 °C over an area of more than 50000 km2 over Hyderabad with a life cycle of about 9 hours. This MCC featured multi cellular characteristics, showing that there was significant low-level moisture in its environment, as well as a mix of vigorous updrafts, implying significant rainfall rates over Hyderabad. The synoptic features suggest that with high precipitable water, the long axis of low-level moisture convergence at 0850 hPa and large horizontal vorticity at 0925 hPa were oriented parallel to the system's mean wind flow. In this case, a clusters of thunderstorms arose in the area of moisture convergence which prolonged the duration of extremely heavy rainfall. The high rain rate, relatively sluggish storm motion, and prolonged back-building over the same locations for several hours are likely to blame for the heavy rainfall accumulations that were observed. The hydrological conditions compounded the effects of the torrential rain, resulting in a natural hazard.
Improving remote sensing based agricultural drought characterization in Saurashtra, Gujarat : A region-specific threshold approach
Authors: PANDYA PARTHSARTHI A. , GONTIA NARENDRA KUMAR
Published: March 2024

Remote sensing technology has demonstrated its significant utility in the monitoring and mapping of agricultural drought on a global scale. This study focused on the assessment of agricultural drought in the Saurashtra region of Gujarat, India, utilizing a comprehensive dataset spanning 33 years from Landsat and Sentinel satellites. It employed various vegetation indices, including NDVI (Normalized Difference Vegetation Index), Anomaly Index (NAI), Vegetation Condition Index (VCI) and NDWI Anomaly index (NDWIA), to gauge drought conditions. The performance of these indices was evaluated through the generation of drought severity maps and their correlation analysis with major Kharif crops in the region, specifically cotton and groundnut. The analysis pinpointed major agricultural drought years, such as 1986, 1987, 1991, 2000, 2002 and 2012, which corresponded to substantial crop yield losses ranging from 37% to 76% for cotton and 66% to 95% for groundnut, varying by district. Despite VCI demonstrating equivalent or superior correlations with crop yields (ranging from 0.32 to 0.73 for cotton and 0.33 to 0.75 for groundnut) compared to NAI in various districts, it tended to underestimate drought severities, designating only 2 to 9 drought years for different districts. Consequently, this study recommends revised VCI drought severity thresholds, which enhance the categorization of agricultural drought in terms of severity levels and corresponding yield losses for cotton and groundnut in the Saurashtra region of Gujarat. Furthermore, it underscores the need to establish region-specific drought severity thresholds by identifying the most suitable vegetation index for effective quantification of agricultural drought, thereby facilitating informed drought mitigation measures.
Spatial and temporal patterns of land surface temperature in Greenland from 2000-2019
Authors: PONGSIRI NITINUN , MCNEIL RHYSA , SAELIM RATTIKAN , OWUSU BENJAMIN ATTA , CHUAI-AREE SOMPORN
Published: March 2024

Temperature dynamics on the island of Greenland are an important factor in shaping ecological events. Investigating the land surface temperature (LST) patterns is critical for understanding ecological dynamics across different regions. Further melting of the Greenland ice sheet could deva state marine and terrestrial ecosystems. This study used data from Moderate Resolution Imaging Spectroradiometer satellites to understand the seasonal patterns and patterns of LST over the entire island. Focusing on the period between 2000 and 2019, this study used a natural cubic spline model to identify seasonal patterns for all sub-regions. The data were seasonally adjusted and filtered with a second-order autocorrelation component. The spline was fitted again to identify the LST pattern, and a multivariate regression model was then used to adjust for spatial correlation. We illustrate that most of the land surface of Greenland hasstable temperature trends. These observed patterns in LST in Greenland during the study period suggest that the observed ice-sheet melting in Greenland within the last two decades could be due to other factors, not necessarily LST patterns.
Statistical evaluation of satellite-based CHIRPS precipitation data averaged over the midland and highland regions of Kidangoor sub-catchment, Kerala
Authors: VARGHESE G. S. DEEPA , CHADAGA MOHANDAS , U A LATHASHRI , SALIM SURUMI RASIA , PAI ROOPALI SHANTHA
Published: March 2024

The steep topographical setting of Kerala, traversing from Western Ghats in the east to the sandy beaches on the west, demands the use of precipitation data at a very fine spatio-temporal resolution for a range of hydrological and hydrometeorological studies. The limitation of the existing rain gauge network data in representing the variability in the monsoon showers received, across the physiographic divisions of the state, could be overcome using satellite rainfall dataset offered at a finer resolution.  In this paper, a statistical evaluation of the satellite derived CHIRPS (Climate Hazards Group Infrared Precipitation with Stations) precipitation data for the Kidangoor sub-catchment was performed by comparing it with station rainfall data and IMD gridded data sets. The homogeneity test at 95 % confidence level classified the station data under ‘useful’ category. Additionally, the statistical performance matrices suggested that the CHIRPS data slightly underestimated the observed station rainfall data. However, the coefficient of determination R2 values (0.95-0.97) in the monthly series and (0.37 - 0.64) in the annual series demonstrated a strong to moderate positive correlation between the datasets. To summarize, the quantitative statistical performance matrices, evaluated for the first time in the study area, proposed that the CHIRPS rainfall estimates could very well reproduce the ground-based monthly rainfall datasets and could also serve as a good replacement for IMD gridded data.
Unprecedented hot weather diagnosis in India during March-April 2022
Authors: SRIVASTAVA AKHIL , KUMAR NARESH , MOHAPATRA M.
Published: March 2024

March and April 2022 months were peculiar with respect to the high temperatures breaking long-period records for India. This study attempts to explain the different causative meteorological factors that led to unprecedented hot weather during the March and April months of 2022. It is interestingly seen in the analysis that the high surface temperature anomaly for the month of March over the North Pole was one of the important factors that hindered the southward progression of the sub-tropical westerly jet stream over India and caused a lesser number of western disturbances to cross over the Indian region. Also, the anticyclonic circulation in the mid-tropospheric levels caused warming over central Pakistan and adjoining regions which caused the high temperatures over Indian regions due to temperature advection by northwesterly winds.
Understanding the climatology and long-term trends in solar radiation using ground based in-situ observations in India
Authors: SUDEEP KUMAR B. L. , PHUKAN RANJAN , BORAGAPU RAJA , NALAGE C. B. , TATHE A. D. , HOSALIKAR K. S.
Published: March 2024

Understanding the variations of solar power potential over the country is essential for the optimum utilisation of solar energy in power generation, which demands accurate information of solar radiation and its variations. In the present study, we investigate the climatology and trends of global radiation (GR), diffuse radiation (DR), bright sunshine hours (BHS) and technical potential of solar power (Solar Photovoltaic potential; SPV potential) using in-situ data procured from India Meteorological Department for the period 1985-2019. GR is high (low) over the northwest and inland areas of peninsular (extreme north and northeast) India, whereas DR is high (low) over the coastal stations (extreme northern parts of the country). BHS is more (less) over northwest (north, northeast and southern peninsular) India. The country has SPV potential in the range of 1800-3400 Wm-2 with substantial regional variations. High (low) SPV potential is observed in the northwest regions (north, northeast and southern peninsular India). The GR and BHS (DR) have (has) a significant decreasing (increasing) trend in most parts of the country. However, the rate of decreasing (increasing) of GR (DR) has been weakened (strengthened) in the recent decade. The technical potential of solar power has a significant decreasing trend in most of the selected stations which is alarming. It necessitates the wide use of solar panels with better efficiency to meet the energy requirements from solar resources.
Agro-climatic zone-wise drought hazards in Karnataka under historical and future climate scenarios
Authors: S. VIDYA , JEGANATHAN ANUSHIYA
Published: March 2024

This study performed the spatio-temporal analysis of drought hazards across the agro-climatic zones (ACZs) of Karnataka under historical and future climate scenarios. The India Meteorological Department’s high-resolution gridded data for1989-2019 was used for historical drought occurrence analysis. Coordinated Regional Climate Downscaling Experiment ensemble data of the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios were used for analysing future drought hazards in the near (2031-2060) and end term (2061-2099) periods. The standardised precipitation index (SPI) was used to calculate the frequency of droughts at different accumulation periods of 1, 3, 6, 9, and 12 months. Subsequently, the ACZ-wise drought hazard index (DHI) was calculated and mapped geospatially using ArcGIS. The results indicated that moderate drought events have the highest frequencies of occurrence, followed by severe and extreme drought events for all accumulation periods. During 1989-2019, 54.8%, 28.3% and 16.7% of droughts were moderate, severe, and extreme, respectively. An increase of 2.6% and 2.4% in the frequency of moderate droughts is projected under the RCP4.5 and 8.5 scenarios, respectively, in the end term. Under both historical and future climate scenarios, a high frequency of extreme droughts was observed in the long accumulation periods (SPI-9 and SPI-12), whereas the frequency of moderate droughts was observed to be high in the short accumulation periods (SPI-1 and          SPI-3). Under the historical scenario, the frequency of droughts in the extreme category was high in the southern transition, central dry, and north eastern dry zones, severe category in the northern dry, southern transition, and coastal zones, and moderate category in the north transition, hill, and southern dry zones. Among the 30 districts of Karnataka, Chitradurga, Udupi, Tumakuru, Ballari, Koppala, Raichuruand Gadaga districts have very high DHI. This study sheds light on the potential consequences of climate change on drought scenarios in the Karnataka state’s agro-climate zones and urges for zone specific drought adaptation and mitigation strategies to strengthen the State resilience.
Complications Following COVID-19 Infection or Vaccination in Libyan International Medical University Students and Their Families
Authors: Alfituri Aisha , Alasbily Hamza
Published: March 2024

Coronavirus disease 2019 (COVID-19) caused by a novel strain of coronavirus belonging to the genus Beta coronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) emerged as a major pandemic worldwide. This contagious virus had spread in many different forms, and patients have demonstrated a wide range of symptoms, ranging from moderate to severe illness. This study aims to highlight the important associations between SARS-CoV-2 infection, vaccination, and possible complications at the Libyan International Medical University, Benghazi. This cross-sectional survey was conducted among students and their families at Libyan International Medical University in Benghazi, Libya. Among the 100 participants, 72% were between the ages of 18 and 39. Up to (59%) of participants were men. As for the infection with COVID-19, 77% of participants were infected. Most of the participants had no chronic diseases (69%); however, the most common chronic disease was diabetes mellitus (13%). 82% of participants were vaccinated; the most common types of vaccines administered were Sinopharm and Sputnik V (24%). Following vaccination, 71% of participants had no COVID-19 infection, while 29% did get the infection. Regarding this study, after COVID-19 infection, 66% of participants had no complications; however, 17% had pulmonary complications, which was the most common complication among the participants. As for the complications following the vaccination, 81% of participants had none, while there were pulmonary and neurological complications in 7–6%. The results of the study showed that the most frequent complications noticed among the participants following the COVID-19 infection and vaccination were pulmonary and neurological complications.
Análisis reflexivo de prácticas matemáticas a través de las éticas imperantes y las subjetividades éticas
Authors: Clavijo-Riveros Martha Cecilia
Published: March 2024

En este artículo, las nociones de subjetividades éticas y éticas imperantes se proponen como herramientas teóricas y prácticas de análisis del proceso de enseñanza-aprendizaje de las matemáticas. Mediante estas herramientas, exploro cómo las éticas imperantes de prácticas matemáticas y subjetividades éticas de profesores se relacionan dialécticamente. Además, sugiero reflexionar sobre la ética imperante de las prácticas matemáticas y las subjetividades éticas de los profesores como un medio para abordar decisiones didácticas y creencias implícitas en la enseñanza de las matemáticas. La Teoría de la Objetivación, desde un enfoque histórico-cultural-político, promueve una particular ética imperante —la ética comunitaria— y su influencia en prácticas matemáticas. Por ende, se elige esta teoría como punto de referencia para un análisis crítico y comparativo de enfoques éticos en la didáctica y las prácticas matemáticas escolares. Los conceptos subjetividad ética y ética imperante emergen de una revisión teórica para argumentar la importancia de analizar críticamente las prácticas matemáticas. Al explorar y analizar estos conceptos en el ámbito del desarrollo de laboratorios de prácticas docentes, se evidencia la relevancia de considerarlos a partir de la comprensión de las implicaciones en las prácticas matemáticas. Tomar conciencia de esto puede enriquecer la enseñanza y fomentar una transformación reflexiva.
Optimizing Nerve Sparing in Robotic-Assisted Radical Prostatectomy: A Comparative Investigation of Traditional and Modified Endopelvic Fascia Preservation Techniques
Authors: Tan Mai , Hoang Nguyen , Kha Nguyen , Phuong Do , Tuan Nguyen , Vinh Trang , Anh Nguyen , Vien Nguyen
Published: March 2024

Background: Prostate cancer (PCa) is the second most common cancer and the sixth leading cause of cancer-related mortality in men. In 2000, Abbou performed the first robot-assisted radical prostatectomy, and radical prostatectomy has developed rapidly. Robot-assisted radical prostatectomy (RARP) is a valuable therapeutic option for the management of localized Pca. Objective: To present the functional outcome of robot-assisted laparoscopic radical prostatectomy using traditional and modified endopelvic fascia preservation methods in a single center in Vietnam. Methods: We prospectively analyzed a series of 65 patients diagnosed with prostate cancer from 2020 to 2023. All of those were operated by DaVinci Si system robot-assisted laparoscopic prostatectomy. Twenties patients were applied with a modified nerve-sparing technique, intrafascial dissection, and lateral prostatic fascia preservation, leaving the lateral tissue, including the neurovascular bundle, untouched and covered. We used the traditional approach, intrafascial nerve-sparing with open endopelvic fascia and lateral prostatic fascia in 45 cases. Patients were followed up to 12 months to assess the continence and erectile function by using IIEF-5 and EPIC questionnaires. Results: The study sample included 65 cases; the mean patient age was 64.21 ± 6.68, erection rate after surgery at six months in bilateral NS was 36.58% (15/ 41) in the traditional group, and 68.42% (13/19) in the modified group (p=0.028). The patient did not recover erectile ability in the group of elderly patients (>65 years old) and unilateral nerve-sparing group. The continence rate six months after surgery was 86.66 % in the conventional group and 85% in the modified group, with no significant difference between the two groups. In the potency group, the IIEF-5 score was 13 ± 4.9, and the EPIC-26 score was 62.20 ± 10.04. Erectile ability in the modified group was better than the traditional group at six months after surgery. Conclusion: Our results showed better potency recovery in the modified group. These results should be tested in future research with randomized studies.
Validity of the Rezum Simulator for Trainees
Authors: Alsowayan Ossamah , Zahrani Abdullah
Published: March 2024

Background: Simulations have revolutionized surgical training and are an invaluable adjunct tool for augmenting the proficiency of surgeon and patient safety. Before being included in a practical assessment process, simulators need to be using various validity inference frameworks. Objective: We examine the construct validity and reliability of the Rezum simulator. Methods: Seventeen candidates of different professions voluntarily participated in the Rezum simulation workshop. The simulator provides a variety of variable metrics and challenges. Each candidate performed three cases of different difficulty levels with three trials of each case. Validity was measured statistically through a one-way analysis of variance (ANOVA) test, and a p-value of < 0.05 was considered significant. Additional reliability tests were provided, including intraclass correlation coefficients, a Cronbach test (0.7 is considered acceptable), and standard error of measurement. Results: The ANOVA of total scores among candidates was significant (p = 0.029). Senior registrars and consultants had the highest total scores. Procedure times did not differ significantly among candidates (p = 0.169). The reliability test for the total score was 0.899 (0.831–0.942), with a standard error value of 2.75, a standard deviation of 8.67, and a Cronbach alpha value of 0.915. Conclusion: We confer the primer evidence of Rezum simulation as a valid, reliable simulator of most of its metrics.
Frequency of ABO and Rhesus blood groups among blood donors of the Twin cities
Authors: Tariq Wardah , Zahra Tatheer , Zainab Hijab , Haq Ali , Mumtaz Sadaf
Published: March 2024

More than 20 distinct blood group systems have been characterized; but the ABO and Rh blood groups remain the most important. The frequencies exhibit considerable variation in different geographic locations, reflecting the underlying genetic and ethnic diversity of the human population. The primary objective to carry out this study was to explore the frequency of ABO and Rh blood groups among the donors in the region of Islamabad and Rawalpindi, Pakistan. This cross-sectional study was carried out in the twin cities of Rawalpindi and Islamabad including data from 6th April 2019 to 15th September 2019. Data were collected retrospectively from the records of donors of all the registered blood banks in the mentioned localities during the last 5 years. Informed consent was gained and a total of 46363 participants were included with 25030 males and 21333 females. All participants were selected without any bias via the online patient record of the blood banks. All blood groups were identified using the slide agglutination method with commercially prepared anti-sera. The frequency of each blood group in order of its prevalence was found to be: B +ive (31.8%) > O +ive (28.5%) > A +ive (22.1%) > AB +ive (9%) > B -ive (3%) > O -ive (2.5%) > A -ive (2.1%) > AB -ive (0.9%). Overall blood group B +ive was the most common blood group, and Rh +ive groups were generally more common than Rh -ive blood groups. The results of our study provide useful data regarding frequencies of ABO and Rhesus blood groups among blood donors of the twin cities. It will in the future help create an inventory of blood banks, study disease patterns, and heredity in this region.
A Single-Centre Experience of an Anesthesia-Led Pediatric Peripherally Inserted Central Catheter Service at a Specialized Cancer Institute
Authors: khalid Umair , asif muhammad , faisal muhammad , saad saad , ijaz khaurram , anum anum
Published: March 2024

Introduction:
To report our experience of establishing a pediatric peripherally inserted central catheter (PICC) line procedure led by the anesthesia department of a tertiary care cancer center.
Materials / Patients and Methods:
A retrospective review was conducted over a period of 28 months. Variables such as demographic data, indications, the number of days the line remained in situ, and the frequency of adverse events were considered.
Results
A total of 112 patients between the ages of one and fourteen years who had PICC lines inserted were included. All procedures were done under general anesthesia by two separate anesthesia teams with established protocols. Insertion was guided by ultrasonography through the basilic (n = 84, 75%), median cubital (n = 12, 10.7%), femoral (n=1, 0.9%), or cephalic (n=15, 13.39%) veins in the non-dominant arm. The insertion success rate was 97.3% while the unsuccessful in 2.7%. The 4Fr (French number) PICC line was used in 95 (84.82%) patients and 5F in 17 (15.17%) patients. The PICC line was used for an average of 85.47 days (ranging from 0 to 350 days). Chemotherapy (n = 89, 78.47%), difficult Intravenous (IV) access (n=15, 13.39%), and palliative care (n=8 7.14%) patients require long-term venous access. 38 (33.92%) patients had completed treatment with PICC line while 4 (3.57%) patients lost follow-up.
Conclusion:
PICC - lines are an essential element of cancer treatment in children. Anesthesia-led PICC line service is a reliable option. They maintain operating room, PICC line sterility during insertion, and complications comparable to follow the recommended precautions.
Preparing movement exercises using a proposed laser device on the heel of the foot to learn and develop the speed of rotation and accomplish to the discus throw for youth U 20
Authors: Nagham Hatem Hameed  , Haider Faiq Al-Shamaa  , Firas Haider
Published: March 2024

يرتبط الأداء الفني المناسب ارتباط مباشر بالهدف من هذا الأداء الحركي وان تحقيق الهدف يعتمد على جملة من المتطلبات ومنها تطبيق القوانين والشروط التي تخضع لإمكانية تحقيق الاداء لأجزاء دقيقة من الحركة، إراد الباحثون دراسة مرحلة من اهم مراحل فعالية رمي القرص اذ تعتبر مرحلة الدوران هي المفتاح للأداء الصحيح الذي منه يمكن الوصول الى وضع الرمي بأفضل صورة، من هنا جاءت أهمية البحث بتصنيع جهاز ليزري يربط في قدم لاعب رمي القرص من الأسفل حيث يظهر صوت عند ملامسة كعب الرجل من الأرض خلال مرحلة الدوران والذي بدوره يزيد من سرعة الدوران داخل دائرة الرمي والذي ينعكس على زيادة الإنجاز بفعالية رمي القرص. ولذلك وضعت مشكلة البحث في حل واحدة من الأمور التي يعاني منها المتعلمين والمدرين بفعالية رمي القرص وهي البطء في سرعة الدوران داخل دائرة الرمي، اذ يعمل هذا الجهاز الصغير على تعليم اللاعب للأداء الحركي لرفع قدم رجل الدوران والاعتماد بالدوران على المشط، ويسعى الباحثون في هذا البحث على الإجابة على الأسئلة: هل الجهاز الليزري المصنع يساعد كثيرا في التقليل من الاحتكاك بين الأرض وقدم الدوران في دائرة رمي القرص؟ وهدف البحث الى اعداد تمرينات حركية باستخدام جهاز ليزري مقترح يربط على كعب القدم تساعد في تعلم الأداء الحركي وزيادة سرعة الدوران داخل دائرة رمي القرص. واستخدم الباحثون المنهج التجريبي بتصميم المجموعة الواحدة ذي الاختبار القبلي والبعدي وتم اختيار (5) طلاب من المتدربين والممارسين لفعاليات الرمي ضمن طلاب كلية التربية البدنية وعلوم الرياضة في الجادرية ليمثلوا عينة البحث وبالطريقة العمدية، ومن خلال تطبيق 8 وحدات تعليمية تعتمد على استخدام الجهاز المصنع في القسم الرئيسي من الوحدة التعليمية، وظهرت النتائج بفاعلية عمل الجهاز الليزري في تطوير سرعة الدوران وفي تحسين الأداء الحركي لمرحلة الدوران والانجاز برمي القرص للشباب، وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (الصحة الجيدة). ويوصي الباحثون الى استخدام الجهاز الليزري L.F  المربوط في أسفل كعب القدم في تعلم وتطوير الأداء الحركي لمرحلة الدوران برمي القرص من قبل المدرسين والمدربين لهذه الفعالية.
SISTEM INFORMASI PELAYANAN PARKIR DI KLINIK NOVA MEDIKA BERBASIS QR CODE
Authors: Feggy Pradigma Dhika , Suradi Agustinus , Retnowati Niken
Published: March 2024

Saat ini, Klinik Nova Medika belum menggunakan sistem dengan dukungan IT dalam mengolah datanya, khususnya pengelolaan parkir. Sistem parkir yang berjalan saat ini menggunakan cara manual yaitu tertulis di kertas atau disebut juga dengan karcis parkir. Pengguna kendaraan yang memasuki area parkir diberikan karcis parkir oleh petugas parkir, kemudian nomor tersebut disimpan oleh pengguna kendaraan pada saat keluar atau meninggalkan area parkir. Beberapa permasalahan yang muncul pada Nova Medika Clinic adalah proses pengolahan sistem parkir yang belum dikelola dengan baik, pelaporan bahkan kehilangan kendaraan bermotor karena tidak teridentifikasi dengan baik antara kendaraan dengan karcis parkir, maka kami membutuhkan suatu sistem untuk membantu dalam pengelolaannya. Metode pengembangan perangkat lunak yang digunakan adalah metode waterfall. Sedangkan metode pengumpulan data menggunakan metode observasi dan wawancara. Bahan dan bahan penelitian yang diperoleh terdiri dari identitas pegawai atau petugas, jadwal jaga pegawai dan tempat parkir. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika.
VISUALISASI GLOBAL WARMING UNTUK SD DENGAN ADOBE FLASH CS
Authors: Rohmawati  , Safitri Lutfiyani Rizka , Windarti Mariana
Published: March 2024

One of the obstacles of elementary school learning process is there of material that cannot be directly observed by students. Childrens quickly get bored and not focus on materials like that. Science is one of the subject that has a lot of material that cannot be directly observed, example a global warning. Through learning media with visualization, it be expected that the material can be delivered well. There are four stages of this research, that is data requirenment, design, implementation and testing. The techniques used at the data requirenment stage are interviews and observations. Meanwhile, at the design stage, storyboards and other designs of this learning media were made. In the third stage, the previously created design is implemented by the Adobe Flash CS3 application. The final stage, the results of the design are examined by means of a questionnaire. The result of this research is a learning media made with lots of visuals so that students stay focused on the material. The suggestion of this research is that this research can be developed using a smartphone, android.
SISTEM INFORMASI PAKAIAN JADI BERBASIS WEB (STUDI KASUS WOOD PECKER STORE)
Authors: Arfianto Widia , Joko Prasetyo Hendro , Budi Hartono Fajar , Nugroho Nurhasan
Published: March 2024

Wood Pocker Store is a distro that still uses word of mouth marketing model. as a consequence, the development of Wood Pecker Store’s marketing has been slow and pre-determined sales targets not yet reached. Website-based apparel information systems are one way of marketing model that is more effective than word of mouth. The website can reach a wider range of customers moreover the system can also serve orders for Wood Pocker Store products. This study aims to build a web-based apparel system. This system is expected to make Wood Pocker Store to expand the marketing reach of their products. In addition, this website is expected to make Wood Pocker Store customers to choose and order Wood Pocker Store products more easier that before and they can do it without come to the store directly. This system also supports the government's program to stay at home due to the Covid pandemic. The stages that will be carried out in this research are data requirenment, design and implementation. Data requirenment was carried out by interview and observation. Context diagrams, DFD, ERD, and interface design are the results of the design stage. At the implementation stage, all of these designs are implemented into a usable system. The result of this research is a system that can be used as a media for promotion or ordering from the Wood Pocker Store.
PENERAPAN DATA MINING DALAM MENGELOMPOKKAN KUNJUNGAN WISATAWAN DI KOTA YOGYAKARTA MENGGUNAKAN METODE K-MEANS
Authors: Setio Purnomo Bambang , Taqwa Prasetyaningrum Putri
Published: March 2024

Yogyakarta is one of the cities in Indonesia that has a tourist attraction and is a tourist destination that is most in demand by tourists, seen from the number of tourist visits that are increasing from year to year. Apart from being a tourist city, Yogyakarta is a city of students, a city of culture and a city of struggle. Because Yogyakarta is called a tourist city, there are many kinds of tourist objects offered by the City of Yogyakarta. In this case, the application of data mining can be a solution in analyzing data. Clustering is included in descriptive methods, and also includes unsupervised learning where there is no previous object class definition. So that clustering can be used to determine class labels for data whose class is not known. The K-Means method is included in partitioning clustering which separates data into separate parts. The K-Means method is well known for its ease and ability to group large data and outliers very quickly. from the data entered and has been processed through the K-Means algorithm method that has performed iterations 5 times by choosing cluster 1, cluster 2, cluster 3 randomly (random) with cluster 1 having 24 data with a percentage of (50%), cluster 2 has 11 data with a percentage of (23%), and cluster 3 has 13 data with a percentage of (27%).