bluuebunny/crossref_metadata_2025_split huggingface dataset:
Body Image: a Cross-sectional Study of the Perception and Practices of Women After Delivery
Authors: Owusu Lydia Boampong , Issifu Joseph Shahadu , Efah Abrah Nana Yaa , Yeboah Dorcas , Agyemang Suzzie Ntiriwaa , Owiredu Emmanuel Odame , Suglo Zakaria Abdul-Fatawu , Dwumfour Catherine Kroamah , Emikpe Abigael , Addai-Henne Sandra 
Published: June 2024

Abstract

Background
Women's bodies undergo major changes during pregnancy and childbirth that are typically interpreted negatively, resulting in body dissatisfaction or a negative body image. Postpartum women have diverse perceptions of their bodies, which are influenced by the strategies they employ to address social norms related to female attractiveness. This study therefore sought to examine the perception of and satisfaction with body image after delivery and practices to achieve ideal body image among postpartum women.
Methods
This study employed a cross-sectional descriptive design. Data from 361 postpartum women who visited the Child Welfare Clinic at three hospitals were gathered using a semi structured questionnaire. The study used a quantitative technique and a descriptive research design to accomplish this goal. A researcher-created questionnaire was utilized to collect data from 361 postpartum women who were chosen for the study using a convenience sampling technique. SPSS version 27 was used to analyze the data. Both descriptive and inferential statistics were employed, with a P value of 0.05 indicating statistical significance.
Results
The majority (56.23%) were happy with their bodies after delivery, while 32.13% asserted that their partners were not happy with their bodies after delivery. Wearing belly bands (28.53%), consuming weight loss tea (11.36%), and eating less (9.14%) with few women exercising (1.94%) were practices women engaged in to obtain their ideal body after delivery. The factors influencing body image satisfaction among postpartum women include marital status and educational level (p ≤ 0.05).
Conclusion
Most postpartum women expressed satisfaction with their bodies after delivery, and it is essential to acknowledge the minority who do not share this sentiment. This study sheds light on the diverse practices employed by women to achieve their ideal body image, ranging from conventional methods such as exercise to more unconventional approaches such as wearing belly bands or consuming weight loss tea. Moreover, factors such as marital status and educational level were found to influence body image satisfaction among postpartum women.
Hospital-Based Surveillance System Development in Patients with Hematological Malignancies undergoing Bone Marrow Transplant in Middle-Income Countries- the Case of Iran experience: Research Protocol
Authors: Oshnouei Sima , Jebraeily Mohamad , Asadi-Lari Mohsen , Jafarzadeh-Kohneloo Aarefeh , Eshrati Babak , Asghari Rahim 
Published: June 2024

Abstract

Background
In patients with hematological malignancies undergoing bone marrow transplants, both cancer surveillance programs and cancer registries play crucial roles in monitoring and improving patient outcomes. This research protocol aims to establish a hospital-based surveillance system for patients with hematological malignancies undergoing bone marrow transplantation (BMT) in Iran, utilizing a mixed-methods approach.
Methods
The study will involve quantitative data collection through medical record reviews and qualitative data collection through action research. To evaluate the feasibility and acceptability of the surveillance system among healthcare providers and patients, an assessment was conducted. This involved organizing an expert panel and conducting focus groups. Given the absence of a standardized data collection format for the patients under study, we are taking steps to develop a Bone Marrow Transplantation Registry Electronic System in educational hospitals.
Results
We utilized a standardized format developed by the EBMT and CIBMTR, along with input from expert panels and focus groups, to review the literature on hematological malignancies. We have created a Bone Marrow Transplant Registry Checklist, designed as a tool for data collection. It incorporates validated MDS elements tailored to five distinct types of hematological malignancies. We utilized a passive data collection method to continuously gather pertinent information and created a web-based data collection tool for continuous monitoring and evaluation of treatments. Analytical reports were generated in the form of operational dashboards, providing valuable feedback on analyses during the surveillance process. A pilot test of the registry surveillance system was conducted to ensure alignment with standard procedures and to identify and address any systematic or random errors.
Conclusions
This research protocol outlines the methodology for establishing a system and emphasizes the importance of implementing standardized monitoring protocols in middle-income countries to enhance the evaluation of treatment outcomes among patients with hematological malignancies undergoing HSCT. This system can help identify gaps in available data and treatment modalities during procedures like HSCT. It can facilitate quality improvement and ultimately enhance patient outcomes by engaging with other decision-makers and supporting the growing efforts in middle-income countries in the concept of action research.
Analyzing Instance Representation in Cognitive Models of Phishing Decision Making
Authors: Xu Tianhao , Rajivan Prashanth 
Published: June 2024

Abstract

Phishing attacks remain a significant security threat. One approach to addressing this challenge is through personalized and adaptive anti-phishing training solutions capable of tailoring learning experiences to individual needs and context. This requires cognitive models that are predictive of individual phishing responses and are amenable to analyzing and measuring the cognitive factors underlying people's susceptibility to phishing attacks. In this paper, we study a key challenge associated with developing cognitive models of phishing decision making grounded in instance based learning theory (IBLT): instance engineering. We investigate the effectiveness of different approaches to designing instances using transformer based methods for natural language representation. This work also investigates which aspects of phishing decision making IBL models could represent and predict. We found that using representations that consider contextual meanings assigned by humans could enable cognitive agents to predict human responses to phishing emails with high accuracy. Notably, we also found that IBL models were predictive of responses from participants who engaged in the quick and intuitive form of decision making process. This work underscores cognitive models' potential to analyze differences in individual's responses to phishing attacks, identify gaps in security awareness, and enhance anti-phishing training effectiveness.
Synthetic recovery of Yada Yada virus expands insect-specific alphavirus knowledge and facilitates production of chimeric viruses
Authors: Bell Mikaela G , Parry Rhys H , Lee Tricia S E , Habarugira Gervais , McMahon Isabella E , Thompson Madeline A , Modhiran Naphak , Watterson Daniel , Batovska Jana , Lynch Stacey E , Hall Roy A , Harrison Jessica J , Hobson-Peters Jody 
Published: June 2024

Abstract

In comparison to other arbovirus genera, few insect-specific alphaviruses have been discovered to date, with even fewer culturable to facilitate full characterisation. Using circular polymerase extension reaction (CPER), we report the recovery of an infectious clone of Yada Yada virus (YYV), which was initially detected by metagenomic sequencing of mosquito homogenates and is the first insect-specific alphavirus (ISA) discovered in the Asia-Pacific region. Using the infectious clone, we demonstrated that YYV did not replicate in a range of vertebrate cells and displayed mosquito genus-specific tropism by only replicating in Aedes-derived cell lines. The YYV infectious clone, in addition to one of Eilat virus (EILV; another ISA), generated by CPER and synthetic dsDNA fragments, facilitated the generation of the first monoclonal antibodies (mAbs) to ISAs. Through successful replacement of the structural proteins of YYV with those of three other ISAs, Agua Salud alphavirus (ASALV), Taï Forest alphavirus (TALV) and Mwinilunga alphavirus (MWAV), we established that a replication block for in vitro culture of TALV and MWAV in mosquito cells does not exist at virus entry. We also established that the majority of the anti-ISA mAbs were highly specific to YYV or EILV. Unexpectedly, ASALV structural proteins were recognized by cross-reactive mAbs made to chikungunya virus (CHIKV) and Ross River virus (RRV), suggesting a potential antigenic link between ASALV and pathogenic alphaviruses. To investigate YYV as a potential platform for producing vaccine and diagnostic antigens, YYV chimeras of pathogenic vertebrate-infecting alphaviruses (VIA) were made for CHIKV, RRV, Barmah Forest virus, Sindbis virus and Mayaro virus. These chimeras retained the antigenic properties of the parental VIAs and did not replicate in vertebrate cells.
Removal of Fluoride from Aqueous Solution by CaFe2O4–GO Composite
Authors: Ali Abdul Matin , Kapil Nibedita , Gupta Susmita Sen , Chakraborty Dhruba 
Published: June 2024

Abstract

Interactions of graphene calcium ferrite nano (GCF) composite have been investigated for the utilization as adsorbent for fluoride in aqueous medium. Batch adsorption studies were carried out with various fluoride concentrations, amount of adsorbent, pH, agitation time and temperature. The adsorption process was strongly influenced by the pH of the solution. The extent of adsorption decreased from 79.5 to 70.1% by changing the initial fluoride concentration from 1.0 to 9.0 mg L− 1 (for adsorbent load 2.0 g L− 1). The kinetic study of the interaction was tested with pseudo first order Lagergren equation, second order kinetics, Elovich equation, liquid film diffusion model and intra particle diffusion model; however the interaction was much more close to the second order kinetics (k2 = 0.0518 g mg− 1min− 1at 303 K). The adsorption data gave good fits with Langmuir monolayer capacity of ̴11.90 mg g−1 at 303 K. The uptake of fluoride was also preferred by higher solution temperature. The results established good potentiality for graphene calcium ferrite nano (GCF) composite to take up and separate fluoride from aqueous medium through adsorption-mediated immobilization.
Medical Equipment Technological Assessment at Fatebenefratelli-Sacco Hospital: an ad hoc Replacement Priority Index
Authors: Grasso Alessandro , Cimolin Veronica , Orsi Giorgio , Olivieri Pietro , Milani Elena , Scazzina Barbara , Fornari Roberta 
Published: June 2024

Abstract

The latest report of the Osservatorio Parco Installato (OPI) highlights the widespread state of obsolescence of electromedical equipment in Italy; in this context, Sacco hospital has implemented an internal strategy of management and evaluation of such equipment, in order to improve the planning of purchases, for greater profitability and efficiency of the service. The hospital has devised its own evaluation strategy for the installed park, developing an ad hoc model for multi-presidio public structures in which there is an outsourced management of the maintenance of electromedical equipment. The model, based on the synergy between a technical Replacement Priority Index (RPI) and a clinical RPI, aims to be quickly upgradable and able to grasp the urgency of replacing an equipment based on the state of the others of the same type. The strategy, given the heterogeneity of the group involved and the parameters analyzed, is based on the Multi-Criteria Decision Analysis (MCDA); the specific weights of the parameters have been assigned thanks to an internal survey in which the various industry experts have drawn up their ranking of importance of the parameters considered. The goal is therefore the search for total harmony between health and decision-making bodies, providing for the involvement of nurses, active engine of hospitals, and doctors, to outline a shared strategy of technological modernization and better use of the resources offered by the Piano Nazionale di Resistenza e Resilienza (PNRR) and D. lgs. 34/2020, next step of the project in progress.
Using Artificial Intelligence (AI) in English Vocabulary Development for Higher Secondary School Students
Authors: Chingakham Dinachandra Singh , Tamuk Kiran 
Published: June 2024

Abstract

Artificial Intelligence (AI) has been popular in the industrial usage and information-technology field. The present study was about the application of AI in English vocabulary learning among high school grade 12 students. One hundred and twelve students took part in the empirical study. Six-week experimental classes were taught. A pre-test and post-test were given to collect English vocabulary proficiency scores. The data were analyzed using SPSS-26. The t-test of the post-test showed that there was a significant difference between the experimental group (AI users) and the control groups (learning in traditional method), with a p-value smaller than the threshold, p < .05, at a 95% Confidence Interval of the Difference. The finding concluded that AI could be used in English vocabulary learning. Schools and institutions could draw a strategic policy to integrate into school policy not to deride academic integrity.
Bark Extract of Urena lobata as Green Corrosion Inhibitor for Mild Steel in Sulphuric Acid Environment
Authors: Enyinnaya Nwojo Princeley , James Abosede Olubunmi , Obi Chidi 
Published: June 2024

Abstract

Urena lobata bark extract (ULBE) was investigated as corrosion inhibitor for mild steel in 0.5 M H2SO4 by phytochemical method, gravimetric and surface morphological studies. Phytochemical screening revealed the presence of alkaloids, flavonoids, saponins and other phytochemicals that inhibit corrosion. The result showed that inhibition efficiency increases with concentration of the inhibitor (from 0.2 g-1.0 g) reaching maximum of 83.28% at 303 K and 24 hr immersion time. It also decreases with temperature rise from 303 K to 333 K. The thermodynamic parameters obtained support a physical adsorption mechanism and best fitted to the Langmuir adsorption isotherm. The values of activation energies obtained in the presence of the inhibitor was all higher than that of the blank solution indicating that ULBE inhibitor effectively inhibits mild steel corrosion. The inhibition process followed first order kinetics. Surface morphological studies revealed that the inhibited mild steel coupons have smooth surfaces whereas mild steel immersed in blank solution showed rough and irregular surfaces, hence confirming the inhibition ability of the inhibitor.
Development and Implementation of a Hybrid Model for Classifying Earthquake Damage Areas Using an Improved Black Hole Algorithm and Intuitive Fuzzy C-Means (A Case Study of Mashhad City)
Authors: Azizi Amir , Yaghoobi Mahdi , Kamel Reza 
Published: June 2024

Abstract

Natural disasters, such as earthquakes and floods, can significantly impact the capacity of responsible organizations due to damage to infrastructure and a lack of reliable information. In the aftermath of such events, relief operations must be well-prepared to quickly and effectively meet the needs of affected individuals to create a secure environment. In this study, we aimed to assess the seismic risk of metropolitan regions in Mashhad, Iran. Given the complex and uncertain nature of this topic, employed the Analytic Hierarchy Process (AHP) to determine the most effective indices for estimating earthquake damage and classifying urban zones. The Black Hole Intuitive Fuzzy C-Mean (BH-IFCM) algorithm was then applied to zone the seismic risk in 13 districts of Mashhad City. The fuzzy model and intuitive fuzzy algorithm were used to evaluate and zone sensitive regions, and the optimization technique of Black Hole updated with the super-chaos method was utilized to develop optimal solutions. The results of our analysis achieved a classification accuracy of 97.34% for Mashhad City and 96.73% for Bam City.
A eficácia horizontal dos direitos fundamentais e o princípio da igualdade: Idade como critério de reajuste contratual nos planos de saúde
Authors: Lemos Junior Eloy Pereira , Braz Virgínia Lara Bernardes 
Published: June 2024

Nos últimos tempos, com o crescente envelhecimento da população, as autoridades e os legisladores vêm procurando fixar diretrizes para a proteção das pessoas idosas, visando a melhores condições de vida, principalmente com relação ao acesso à saúde. Sabe-se que por estar a saúde pública comprometida, as pessoas idosas têm-se submetido à assinatura de contratos de planos de saúde privados – sacrificando parte de sua renda – os quais sempre vêm passando por reajustes. O presente artigo, a partir de pesquisa teórico-bibliográfica e documental, bem como do procedimento metodológico pelo raciocínio dedutivo, tem o objetivo de discutir os reflexos e a legalidade dos reajustes contratuais em virtude do envelhecimento dos beneficiários e pelo aumento da sinistralidade, ressaltando-se que, caso não sejam observadas as devidas justificativas e os parâmetros legais, poderão ser considerados abusivos, como se observará ao final.
Psychometric Properties of a Psychological Measure of Indigenous Personality (Suryomentaram's Perspective): Initial Study
Authors: Purwandari Eny , Prihartanti Nanik , Dumpratiwi Ajeng Nova , Priyadi Suwanda , Sari Sri Wahyuni Kartika , Faizah Nihayatul 
Published: June 2024

Background
Character development is central in personality and developmental psychology, with strong character as a protective factor against psychological disorders. Given the importance of character assessment, this study explores the development and initial psychometric evaluation of an indigenous personality measure, the Suryomentaram Personality Scale (SPS), grounded in empirical research on individuals trained in Suryomentaram philosophies.

Objective
The study aimed to (1) develop the SPS and (2) evaluate its psychometric properties, including content validity, factor structure, and internal consistency reliability.

Methods
Three analytical methods were employed: content validity assessment by six subject matter experts (SMEs), exploratory factor analysis (EFA), and reliability analysis. A convenience sample of 282 students participated in EFA and reliability analyses. Participants were recruited through social media announcements and provided informed consent before completing the SPS.

Results
Content validity analysis revealed eight items falling below the acceptable Aiken's V threshold (< 0.8) out of 23 initially developed items. EFA of the remaining 15 items identified four relatively independent factors: perseverance, optimism, lack of worry and regret, and empathy. Internal consistency reliability estimates for each factor ranged from 0.482 to 0.716.

Conclusion
This initial study provides evidence for the adequate psychometric properties of the SPS based on content validity, EFA, and reliability analysis. Further research is needed to confirm these findings and explore the scale's convergent and discriminant validity.
Multiple Correspondence Analysis for Assessment of the Socioeconomic and Social Impact of the COVID-19 Pandemic in Gezira State, Sudan
Authors: Mohammed Mohammed Omar Musa , Abdallah Ahmed Saied Rahama , Ayele Dawit Getnet , Wacho Gemechis A. , Mohamed Adel Ali Ahmed 
Published: June 2024

Background
COVID-19 spread in Sudan like other countries in the world. The first COVID-19 case in Sudan was confirmed on 13 March 2020. It has been shown that Sudan's economy was affected before the COVID-19 pandemic because of currency increases, high inflation, and the incapability of the authorities to propose support.

Methods
The study aimed to assess the economic and social influence of COVID-19 in Al Gazira State, Sudan. This study used the primary data collected from Gezira state in Sudan. A structured questionnaire was used for data collection in 2020-2021, and the sample size was 800 participants. An analysis of multiple correspondences was used to analyze the data concerning COVID-19. The study was validated by ensuring that the survey follows sound research methodologies. This includes clearly defining research questions, using appropriate data collection methods, and applying rigorous analytical techniques. Besides that, it is important to explore the impact of the socioeconomic, demographic, and geographic variables.

Results
The educational level distribution shows that 36.7% of urban and 26.6% of rural residents have completed secondary education. Furthermore, all participants, 100% in urban regions and 99% in rural areas, were aware of the COVID-19 epidemic. Likewise, all participants in urban areas and 99.5% in rural areas were informed about the lockdowns and measures to curb the spread of COVID-19. Concerning the decision to refrain from attending social gatherings amid COVID-19, 87.6% of participants in urban areas and 75.3% in rural regions opted to cancel such events. Similarly, 86.2% in urban areas and 73.4% in rural areas believe avoiding handshakes is necessary to mitigate the spread of COVID-19. Regarding concerns about job loss during the COVID-19 lockdown period, 52.4% of rural participants did not express anxiety about potential job loss. Conversely, 55.3% of respondents in rural areas were indeed anxious about possibly losing their jobs. The results obtained from the multiple correspondence analysis revealed a relationship between the socioeconomic and demographic variables concerning COVID-19 epidemics.

Conclusion
This study concluded that socioeconomic, demographic, and geographic variables have a combined influence on the COVID-19 epidemic. One potential technical contribution to the assessment of the economic and social impact of the COVID-19 pandemic could be the application of sophisticated data analysis and modeling techniques to comprehend the complex interrelationships among the numerous components impacted by the pathogen. Predictive models, machine learning, data analytics, simulation studies, and geographic analysis are a few examples of similar techniques.
Melatih Motorik Halus Anak Autis Melalui Terapi Bermain
Authors: Ulandary Yury , Shodiq M 
Published: June 2024

Pengaruh terapi bermain finger painting untuk melatih motorik halus anak autis. Tujuan dari penelitian ini adalah untuk menguji pengaruh terapi bermain finger painting pada motorik halus anak Autis. Peneliti mengunakan jenis penelitian kuantitatif eksperimen terhadap subjek tunggal yaitu SSR (Single Subject Research) dengan desain penelitian A-B-A. Subjek dalam penelitian merupakan salah satu anak autis kelas III di SLB Autis Laboratorium UM. Penelitian dilaksanakan dengan melakukan observasi berupa pengisian lembar cheklist. Analisis data dalam penelitian menggunakan statistik deskriptif dengan mengolah data dalam bentuk visual grafik. Hasil penelitian pada fase Baseline 1 menunjukkan pemerolehan skor dengan rata-rata 58% yang termasuk kategori kurang. Fase intervensi, memperoleh skor dengan rata-rata 88,4 yang termasuk kategori baik. Sedangkan fase Baseline 2, memperoleh skor dengan rata-rata 81,7 yang termasuk kategori baik. Dari penelitian ini dapat disimpulkan bahwa terapi bermian finger painting dapat meningkatkan kemampuan motorik halus anak autis.