bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of tooth agenesis and supernumerary teeth related to different Thai cleft lip and cleft palate populations
Authors: Aung Wai Phyo , Pungchanchaikul Patimaporn , Pisek Araya , Bloch-Zupan Agnès , Morkmued Supawich 
Published: November 2023

Abstract

Background
Pattern of dental anomalies encountered in cleft patients shows subtle signs of genetic involvement. This study aimed to evaluate the prevalence and pattern of tooth agenesis and supernumerary teeth in Thai cleft population according to the cleft type.
Methods
Data collected from patients with cleft lip and palate, who had been treated at Tawanchai Cleft Center, Khon Kaen University, Thailand, available during year 2012–2022, were investigated. Records from 194 patients with non-syndromic clefts met the inclusion criteria. Standard dental records, and at least either orthopantomogram (OPG) or cone beam computed tomography (CBCT), were examined. Statistical analysis was performed using chi-square and binominal test (p ≤ 0.05).
Results
Prevalence of tooth agenesis was higher (77.3%) than that of supernumerary teeth (5.7%) and was more common in bilateral cleft lip and palate (BCLP) (88.1%) than in unilateral cleft lip and palate (UCLP) (72.6%) (p = 0.017). The upper lateral incisor was more frequently affected (46.4%), followed by the upper second premolar. The number of missing teeth observed on the left side was significantly higher. Patients with left UCLP (ULCLP) had the highest prevalence of tooth agenesis. A total of 41 tooth agenesis code (TAC) patterns was found. The prevalence of supernumerary teeth was comparable with 6.6% of ULCLP, 5.1% of BCLP, and 4.5% of URCLP. Tooth-number anomalies were observed more often in the BCLP and were most likely to occur on the left side of the maxilla. Both types of anomalies could be featured in a small proportion of cleft patients.
Conclusions
More than half of the patients with non-syndromic cleft lip and palate in this study, presented with tooth-number anomalies. Tooth agenesis was approximately 10-time more prevalent than supernumerary teeth. Tooth agenesis was likely to appear on the left-side of the maxilla regardless of the laterality of the cleft.
Deep Learning-Based Prediction of CME-Driven Shock Standoff Distances in Metric Type II Radio Emissions
Authors: Kyeremateng Kwabena , Hamada Amr , Elsaid Ahmed , Mahrous Ayman 
Published: November 2023

Abstract

Type II radio emissions are events followed by coronal mass ejections (CMEs) and accelerated by the CME-driven shock in the heliosphere. This study reports on an estimate of CME-shock standoff distance at the commencement of metric type II radio emissions by combining the CME- deprojected speed and spectra features of the radio bursts using a robust TensorFlow Deep- Learning Sequential (TFDLS) technique. The data set of CMEs at the commencement of type II radio burst was used between Solar cycle 24 and the ascending phase of Solar Cycle 25. The measured root mean squared error (RMSE) was 0.145 (Rs), with an average height difference of 0.096 Rs between the observed and predicted CME-shock height. Five (5) CMEs/radio bursts energetic events associated with solar flare were selected from the test data and forecasted the CME shock stand-off heights using the TFDLS and the flare-onset (FL) method. The data were used to compare the Leading-edge (LE) and Dynamic Spectra (DS) methods. The RMSE measured between the FL and LE was 0.35 Rs, and the RMSE estimated between the TFDLS and LE approach was 0.04 Rs. The RMSE between the FL and DS was 0.34 Rs, and the RMSE between the TFDLS and the DS was 0.04 Rs. We also used the findings gained from the five selected events and compared them to the 3D shock-fitting (3D-SF) approach. The RMSE found between the TFDLS and the 3D-SF was 0.18 Rs, while the RMSE estimated between the FL and the 3D-SF was 0.23 Rs. This shows that the TFDLS has solid performance.
Prevalence and risk factors of schistosomiasis among pregnant women in northern Senegal
Authors: Ndiour Coumba Nar , Senghor Bruno , Thiam Ousmane , Niang Souleymane , Wotodjo Amélé Nyedzie , Faye Babacar Thiendella , Ndiaye Ndeye Amy , Sow Omar , Sylla Khadime , Ndiaye Magatte , Gaye Oumar , Faye Babacar , Sokhna Cheikh , Doucouré Souleymane , Sow Doudou 
Published: November 2023

Abstract
Background
Schistosomiasis remains a public health concern worldwide. It is responsible for more than 240 million cases in 78 countries, 40 million of whom are women of childbearing age. In the Senegal River basin, both Schistosoma haematobium and Schistosoma mansoni are very prevalent in school-age children. However, there is a lack of information on burden of schistosomiasis in pregnant women, which can cause complications for the pregnancy outcome. The aim of this study was to determine the prevalence and risk factors associated with infection in pregnant women.
Methods
We conducted a prospective cross-sectional study of pregnant women attending antenatal clinics at the health center of the Senegalese sugar company and at the hospital of Richard Toll between August and December 2021. The urine and stool samples collected were examined using microscopy techniques and quantitative polymerase chain reaction (qPCR) to detect the presence of S. haematobium and S. mansoni. Urine were previously tested using urine reagent strips to detect hematuria and proteinuria. Sociodemographic, clinical and biological data were collected from each participant. The data were analyzed using logistic regression model.
Results
Among the 298 women examined for the infection by microscopic, 65 (21.81%) were infected with urogenital schistosomiasis, 10 (3.36%) with intestinal schistosomiasis and 4 (1.34%) were co-infected with both types of schistosomiasis. Out of the 288 samples tested by qPCR, 146 (48.99%) were positive for S. haematobium, 49 (35.51%) for S. mansoni and 22 (15.94%) for both species (co-infection). Schistosomiasis was significantly associated with the presence of blood and the protein on strips (p < 0.05).
Conclusion
This study has revealed a high prevalence of schistosomiasis in pregnant women in Senegal. The qPCR allowed us to detect more cases compared to the microscopy. There is a need to conduct more studies to understand the real burden of the disease and to set up a surveillance system to prevent pregnancy-related complications.
Adverse Effects of Remdesivir for the Treatment of Acute COVID-19 in the Pediatric Population
Authors: Schulz Abigail , Huynh Natalie , Heger Margaret , Bakir Mustafa 
Published: November 2023

Abstract
Background: Although the severity of Coronavirus Disease 2019 (COVID-19) tends to be lower in children, it can still lead to severe illness, particularly among those with chronic medical conditions. Remdesivir (RDV) is the only U.S. Food and Drug Administration-approved antiviral treatment for high-risk patients >28 days old. However, the available data on the safety of RDV in children is limited.
Methods: To address this knowledge gap, a multicenter study involving 65 patients retrospectively analyzed the clinical data from individuals aged <18 who were hospitalized due to COVID-19 and received at least one dose of RDV. Additionally, the study encompassed 22 patients with mild-moderate COVID-19 who were considered at high risk of developing severe disease.
Results: 19 children (29%) experienced mild-to-moderate adverse events (AEs) attributed to RDV, including transaminitis in 20% of children, bradycardia in 8%, and hypotension in 5%. AEs did not require discontinuation of RDV, except in one patient who developed premature ventricular contractions. The rate of AEs did not differ between patients with severe COVID-19 and those with mild-moderate COVID-19 but at high risk for severe disease. All but one patient were discharged within 23 days of admission, and no fatalities were recorded. Among high-risk patients with mild-moderate disease, only 2 (9%) progressed to the point of needing supplemental oxygen.
Conclusions: Our data suggests that RDV is safe in children, with no reported serious AEs. However, the absence of a control group limits the extent to which conclusions can be drawn. RDV may contribute to clinical improvement, particularly in high-risk patients.
The effect of insomnia correction on the duration and severity of headaches
Authors: Tkachenko V. D. , Makarov S. A. , Korabelnikova E. A. 
Published: November 2023

Introduction. Chronic tension headache and insomnia are a common mutually aggravating pathology. Drugs used to treat these nosologies most often worsen the course of the concomitant disease.Objective. To evaluate the effect of insomnia correction on the intensity and frequency of headachesMaterials and methods. The study involved 27 patients (25 women, 2 men) with chronic tension-type headache and sleep disorders. The median age was 43 ± 14.8 years. In accordance with the purpose of the study, the clinical group was divided into 2 subgroups. The first group was treated with venlafaxine and doxylamine, the patients of the second group received only venlafaxine treatment. The assessment was carried out before the start of treatment and 8 weeks after, using visual analogue scales for headache, sleep, health status, assessing the severity of insomnia using the Morin scale and the Pittsburgh Sleep Quality Inventory (PSQI), assessing the emotional state using the Sheehan anxiety and Beck depression scales and polysomnography.Results. In subgroup 1, which received correction of insomnia, there was a significant decrease in the number of days with headache (from 20 to 10, p = 0.002), pain intensity according to VAS (from 7 to 6, p = 0.01) and VAS sleep (from 6 to 4 points, p = 0.003). In the group without correction of insomnia, the number of days with headaches significantly decreased (from 15 to 12, p = 0.01), changes in the severity of headache according to VAS (from 7.5 to 6, p = 0.13) and sleep quality (from 6 to 7.5, p = 0.38) did not have a statistically significant difference. According to the results of polysomnography, patients who received correction of insomnia had an increase in the duration of slow-wave sleep by 12 minutes (p = 0.02), while in patients from the second subgroup by 4 minutes (p = 0.68).Conclusions. The use of a combination of venlafaxine and doxylamine in the first stages of treatment of patients with chronic tension-type headache and insomnia has an advantage over standard therapy. Combination therapy can reduce the intensity and frequency of headaches and improve sleep quality.
Clinical manifestations and possible predictors of the formation of post-COVID syndrome in neurological practice
Authors: Peretechikova A. V. , Voskresenskaya O. N. 
Published: November 2023

Introduction. Studying clinical manifistations and prognostic factors for the development of post-covid syndrome (PCS) remains an actual task for doctors of various specialties.Aim. To study the clinical manifestations and probable predictors of the formation of PCS in neurological practice.Materials and methods. The study included 34 patients aged 18 to 65 years undergoing treatment at the A.Ya. Kozhevnikov Clinic of Nervous Diseases for the underlying disease: tension headaches (GBN), migraine (M), musculoskeletal pain (SMB), who had a documented coronavirus infection (CI) COVID-19. The main group (OG) consisted of 21 patients (average age 47.95 ± 12.21 years), in addition to the manifestations of the underlying disease, complaining of memory impairment, decreased concentration and performance, fatigue, anxiety and internal tension, low mood background and unwillingness to do anything, headache that occurred for the first time during, immediately after the end or within 2 months after the transferred CI, which met the criteria of the PCC. The comparison group (GS) included 13 patients (average age 38 ± 12 years) who complained only about their underlying diseases and did not note any peculiarities in their course due to the transferred CI. In addition to the main research methods, questionnaires were used: fatigue (MFI-20 scale), anxiety (Spielberger – Khanin scale), depression (Beck scale), cognitive impairment (MOCA test), impaired concentration (Munsterberg test), symptoms of central sensitization (CSI), quality of life (SF-36).Results. Clinical manifestations of PKS consisted in mild or subjective cognitive impairment (CN) without a change in concentration and asthenic symptom complex. OG patients were older, had moderate and severe acute period of CI and risks of cardiovascular pathology, statistically significantly differed from HS with higher scores on the scales: Beck depression, Spielberger – Khanin, CSI, MFI-20 and a lower score on the MOCA scale.Conclusions. Possible predictors of the formation of PKS can be: age over 40 years, moderate and severe course of CI, the presence of risks of cardiovascular pathology, depression and increased personal anxiety, higher rates of central sensitization.
Public preferences and willingness to pay for low impact development: a comparative case study of pilot sponge cities in China
Authors: Zhang Meng , Zhang Jingyi , Yao Liuyang , Qiao Xiu-Juan 
Published: November 2023

Abstract

Increased urbanization and climate change globally have increased the frequency of extreme weather, especially rainstorms and flooding. Low impact development (LID) has been adopted for several decades to reduce urban pluvial flooding and cope with urban climate change. However, LID hasn't been widely used due to the lack of sustainable funding. In this article, a discrete choice experiment method was used to understand public preferences and willingness to pay (WTP) for the functions of LID facilities. Four attributes were selected, and after that, 958 and 646 valid questionnaires were collected in the pilot sponge cities of Zhengzhou and Hebi, respectively. The results showed that respondents showed a significant WTP for LID facilities, with a desire to support rainwater drainage, recreation and entertainment, and the landscape environment. Experience of flooding had a significant effect on Zhengzhou respondents, but not on Hebi respondents. We have concluded that rainwater drainage should still be considered the most important function of LID facilities. At the same time, educational level and flood experiences may not affect the public's WTP. This article can provide a reference for cities that would like to implement LID and create a stormwater fee system to adapt to global change.
Individually Tailored and Culturally Adapted Internet-Based Cognitive Behavioral Therapy for Arabic-Speaking Youths With Mental Health Problems in Sweden: Qualitative Feasibility Study
Authors: Demetry Youstina , Wasteson Elisabet , Lindegaard Tomas , Abuleil Amjad , Geranmayeh Anahita , Andersson Gerhard , Shahnavaz Shervin 
Published: November 2023

Background
Most forcibly displaced refugees in Sweden originate from the Arab Republic of Syria and Iraq. Approximately half of all refugees are aged between 15 and 26 years. This particular group of youths is at a higher risk for developing various mental disorders. However, low use of mental health services across Europe has been reported. Previous research indicates that culturally adapted psychological interventions may be suitable for refugee youths. However, little is known about the feasibility, acceptability, and efficacy of such psychological interventions.

Objective
This study aimed to explore the feasibility, acceptability, and preliminary efficacy of an individually tailored and culturally adapted internet-based cognitive behavioral therapy for Arabic-speaking refugees and immigrant youths in Sweden.

Methods
A total of 17 participants were included to participate in an open trial study of an individually tailored and culturally adapted internet-based cognitive behavioral therapy targeting common mental health problems. To assess the intervention outcome, the Hopkins Symptom Checklist was used. To explore the acceptability of the intervention, in-depth interviews were conducted with 12 participants using thematic analysis. Feasibility was assessed by measuring treatment adherence and by calculating recruitment and retention rates.

Results
The intervention had a high dropout rate and low feasibility. Quantitative analyses of the treatment efficacy were not possible because of the high dropout rate. The qualitative analysis resulted in 3 overarching categories: experiences with SahaUng (the treatment), attitudes toward psychological interventions, and personal factors important for adherence.

Conclusions
The findings from this study indicate that the feasibility and acceptability of the current intervention were low and, based on the qualitative analysis, could be increased by a refinement of recruitment strategies, further simplification of the treatment content, and modifications to the cultural adaptation.
A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study
Authors: Sampa Masuda Begum , Biswas Topu , Rahman Md Siddikur , Aziz Nor Hidayati Binti Abdul , Hossain Md Nazmul , Aziz Nor Azlina Ab 
Published: November 2023

Background
Over the past few decades, diabetes has become a serious public health concern worldwide, particularly in Bangladesh. The advancement of artificial intelligence can be reaped in the prediction of blood glucose levels for better health management. However, the practical validity of machine learning (ML) techniques for predicting health parameters using data from low- and middle-income countries, such as Bangladesh, is very low. Specifically, Bangladesh lacks research using ML techniques to predict blood glucose levels based on basic noninvasive clinical measurements and dietary and sociodemographic information.

Objective
To formulate strategies for public health planning and the control of diabetes, this study aimed to develop a personalized ML model that predicts the blood glucose level of urban corporate workers in Bangladesh.

Methods
Based on the basic noninvasive health checkup test results, dietary information, and sociodemographic characteristics of 271 employees of the Bangladeshi Grameen Bank complex, 5 well-known ML models, namely, linear regression, boosted decision tree regression, neural network, decision forest regression, and Bayesian linear regression, were used to predict blood glucose levels. Continuous blood glucose data were used in this study to train the model, which then used the trained data to predict new blood glucose values.

Results
Boosted decision tree regression demonstrated the greatest predictive performance of all evaluated models (root mean squared error=2.30). This means that, on average, our model’s predicted blood glucose level deviated from the actual blood glucose level by around 2.30 mg/dL. The mean blood glucose value of the population studied was 128.02 mg/dL (SD 56.92), indicating a borderline result for the majority of the samples (normal value: 140 mg/dL). This suggests that the individuals should be monitoring their blood glucose levels regularly.

Conclusions
This ML-enabled web application for blood glucose prediction helps individuals to self-monitor their health condition. The application was developed with communities in remote areas of low- and middle-income countries, such as Bangladesh, in mind. These areas typically lack health facilities and have an insufficient number of qualified doctors and nurses. The web-based application is a simple, practical, and effective solution that can be adopted by the community. Use of the web application can save money on medical expenses, time, and health management expenses. The created system also aids in achieving the Sustainable Development Goals, particularly in ensuring that everyone in the community enjoys good health and well-being and lowering total morbidity and mortality.
Phytochemical Activities of Crescentia cujete L.: An review
Authors: Santos Sousa Taíla Maíra , dos Santos Pereira Caio Cezar , Xavier Santos Regineide 
Published: November 2023

O gênero Crescentia é pertencente à família Bignoniaceae, e é caracterizado por apresentar árvores de porte pequeno a médio, com galhos ramificados que juntos formam uma copa aberta. A espécie Crescentia cujete apresenta diversas propriedades farmacológicas e seu uso sem que haja estudos toxicológicos é recorrente. Na medicina popular é utilizada como antioxidante, citotóxica, antiplasmodial, antibacteriana, antiinflamatória, fungicida e inseticida. O presente estudo tem como objetivo apresentar por meio de uma revisão de literatura as principais partes de C. cujete utilizadas para a obtenção de compostos secundários, bem como sua atividade biológica e toxicológica. A partir dos critérios de inclusão e exclusão foram selecionados 18 estudos, na língua inglesa, portuguesa e espanhola, que obtinham as partes utilizadas, os metabólitos secundários, atividade biológica e sua toxicidade. Referente às partes utilizadas de C. cujete, o fruto foi o que apresentou mais percentual, equivalente a 60,0% dos estudos, houve também a presença de atividade contra alguns microorganismos. Conclui-se que a presença de fitoquímicos de C. cujete trás muitos benefícios para saúde humana e animal, porém é importante lembrar que toda planta apresenta alguma toxicidade em determinada dosagem, devendo ser utilizada de maneira cautelosa e sob prescrição.
Sustainability assessment for Thai mango: The environmental impact and economic benefits from cradle-to-grave
Authors: Jantuma Narissara , Ruangchai Sukhum , Ketkaew Chavis , Naruetharadhol Phaninee 
Published: November 2023

This study provides an evaluation of the environmental impact and economic benefits associated with the disposal of mango waste in Thailand, utilizing the methodologies of life cycle assessment (LCA) and cost-benefit analysis (CBA) in accordance with internationally recognized standards such as ISO 14046 and ISO 14067. The study aimed to assess the environmental impact of mango production in Thailand, with a specific focus on its contribution to global warming. This was achieved through the application of a life cycle assessment methodology, which enabled the determination of the cradle-to-grave environmental impact, including the estimation of the mango production’s global warming potential (GWP). Based on the findings of the feasibility analysis, mango production is identified as a novel opportunity for mango farmers and environmentally conscious consumers. This is due to the fact that the production of mangoes of the highest quality is associated with a carbon footprint and other environmental considerations. Based on the life cycle assessment conducted on conventional mangoes, taking into account greenhouse gas (GHG) emissions, it has been determined that the disposal of 1 kg of mango waste per 1 rai through landfilling results in an annual emission of 8.669 tons of carbon. This conclusion is based on comprehensive data collected throughout the entire life cycle of the mangoes. Based on the available data, it can be observed that the quantity of gas released through the landfilling process of mango waste exhibits an annual increase in the absence of any intervening measures. The cost benefit analysis conducted on the life cycle assessment (LCA) of traditional mango waste has demonstrated that the potential benefits derived from its utilization are numerous. The utilization of the life cycle assessment (LCA) methodology and the adoption of a sustainable business model exemplify the potential for developing novel eco-sustainable products derived from mango waste in forthcoming time.