bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Enrichment Strategies with Principal Component Analysis (PCA) for the Advanced of Phenolic Compounds in Bee Products
Authors: Birinci Ceren , Kara Yakup , Gıdık Betül , Kolaylı Sevgi , Can Zehra 
Published: February 2025

Abstract

To achieve a highly selective and sensitive analysis of phenolic compounds in bee products (honey, bee bread and propolis) a simultaneous quantification of 25 phenolic compounds was performed using high-performance liquid chromatography coupled with a diode array detection. In the study, various solvents were utilized to enhance the phenolic profile of bee products. These included non-liquid-liquid extraction, pH 2 with 10 mL of pure water and 20 mL of diethyl ether; pH 2 with 10 mL of pure water and 20 mL of ethyl acetate; pH 2 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate; and pH 7 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate. Additionally, the integration of phenolic compounds identified through the enrichment method was pursued using Principal Component Analysis (PCA). The extraction yields and recovery rates of phenolic compounds can be significantly improved through the combination and integration of different extraction techniques.
Machine learning-enhanced prediction of sensible heat storage potential in Kano-Nigeria based on thermogravimetric analysis
Authors: Maiwada Abubakar D. , Adamu Abdullahi A. , Usman Jamilu , Maiwada Umar D. , Abdulrahman Suleiman , Abba Sani I. 
Published: February 2025

Abstract

The challenge of efficiently predicting the sensible heat storage potential of natural materials like Dawakin Tofa clay for sustainable energy applications necessitates innovative solutions. This study investigates the use of machine learning models: Interactive Linear Regression (ILR), Stepwise Linear Regression (SWLR), Robust Linear Regression (RLR), and (Kernel Support Vector Machine (KSVM). Also, four non-linear models were employed as: G-Matern 5/2 (GM5/2), Trilayered neural network (TNN), Boosted Tree (BoT) and bagged Tree Neural Networks (BTNN). Further, some ensemble methods used are: Simple Average Ensemble (SAE), Weighted Average Ensemble (WAE), and Neural Network Ensemble (NNE). In the laboratory, the test was carried out at the Centre for Genetics Engineering and Biotechnology at the Federal University of Technology in Minna, Niger State, Nigeria. The clay sample was placed in a platinum pan, then heated it at a rate of 10°C per minute while using nitrogen and air as purge gases. The entire experiment took 33 minutes to complete, with results printed for documentation. To ensure accuracy, we repeated the analysis three times and averaged the results. By utilizing locally abundant Dawakin Tofa clay, the research promotes sustainable and cost-effective energy storage solutions, reducing reliance on synthetic materials and lowering the environmental footprint. Among the models, NNE exhibited the best performance, achieving near-perfect accuracy with minimal error metrics (MSE = 0.000212, RMSE = 0.01456 in training; MSE = 0.0001696, RMSE = 0.01302 in testing). SAE demonstrated moderate accuracy with reliable generalization, while WAE showed high variability in training and weaker performance, despite improvement in the testing phase. This study highlights the superiority of nonlinear machine learning models, particularly Neural Network Ensemble (NNE), in accurately modeling the thermal behavior of the sample. It also provides a foundation for optimizing natural materials for thermal storage, recommending material modifications, expanded datasets, pilot-scale studies, and economic assessments. It further underscores the potential of integrating advanced machine learning techniques with natural materials to create scalable, sustainable energy systems, addressing critical environmental challenges in the transition to renewable energy.
The influence of employee fit dimensions on job satisfaction and intention to stay in selected South African municipalities
Authors: Masoka Josiah , Nyongesa Wesonga Justus 
Published: February 2025

This study looked into the impact of employee fit aspects, such as person-job fit, person-environment fit, and person-organization fit on work satisfaction and intention to stay in several South African towns. Data from employees in various departments and levels of the municipality were obtained using a quantitative research design. Standardised measurement devices were used to evaluate employee fit dimensions, work happiness, and intention to stay. The findings show that employee fit characteristics have a positive link with job satisfaction and intention to stay. Higher degrees of person-job fit, person-environment fit, and person-organization fit were linked to enhanced job satisfaction and intention to stay with the organisation. These findings highlight the significance of matching individuals to their job positions, work environments, and organisational cultures to enhance employee well-being and retention. Theoretical implications emphasise the importance of person-environment fit theory, social exchange theory, and organisational support theory in understanding the mechanisms that underpin these interactions. Practical implications include that South African municipalities' human resource management policies should prioritise the measurement and promotion of employee fit characteristics in order to build a good work environment and increase employee engagement and retention. Overall, this study adds to the current literature on organisational behaviour and human resource management by giving empirical evidence of the favourable effects of employee fit characteristics on job satisfaction and desire to stay within municipal contexts in South Africa.
Healing the Waters
Authors: Achikeobi-Lewis Omileye 
Published: February 2025

In this paper I put forward the African and Shamanic belief of the Daoist tradition that ancestors and their memory are real, passed on from generation to generation. This memory includes the trauma memories of enslavement, and post slavery.
This understanding becomes important in the field of trauma and grief healing, as the transmission of ancestral trauma and grief memory, from one generation to another is not fully understood. This has wide implications for those of African descendants who have suffered from ancestral, historical and continuous trauma. And for all who have suffered harm to the body, mind, and spirit resulting from loss of land, home, culture, and torture in its many forms.
I examine the images of Kwame Akoto-Bamfo Memorial Heads installed in water, as a visual way to guide and lead this discussion. Understanding the transmission of ancestral trauma especially in relation to African descendants is like climbing the Mount Everest of the Trauma field. If this trauma can be understood more fully, recognition that such trauma exist can open the field of trauma to profound exciting ways on how to effectively shift these sort of trauma memories up and out of the memory of the waters of the body. Above all, we give dignity to those who suffer from ancestral traumas of this magnitude by acknowledging their trauma is real.
Whale grief: Episodes I + II
Authors: Cull Ó Maoilearca Laura 
Published: February 2025

In this piece, Laura Cull Ó Maoilearca offers two stories that approach the experience of grief and loss from an interspecies perspective with a particular focus on whales. Whilst much mainstream debate and academic literature continues to frame grief as exclusively human, or to position human grief as the standard for grieving per se, Cull Ó Maoilearca follows the work of anthropologist Barbara King (2013) amongst others to attend to whales as both the subjects and objects of grief. Mapping entanglements of oppressions stemming from speciesism, colonialism, capitalism and racism, the first story mourns the loss of animals including two beluga whales in the 1865 fire at P. T. Barnum's American Museum. The second story attends to the specific case of Tahlequah: the orca who in 2018 pushed the body of her newborn, which died shortly after birth, with her snout for 17 days, in what whale biologists called ‘a show of grief’.
Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model
Authors: Xu Hanbing , Wang Xue , Zhou Yanlai , Xia Tianyu , Chang Fi-John , Xu Chong-Yu 
Published: February 2025

ABSTRACT

River algal blooms pose a significant environmental threat, necessitating accurate forecasts and timely warnings for effective prevention. This study proposes a novel hybrid model, combining an external recursive long short-term memory neural network based on encoder–decoder (RLSTM-ED) with a backpropagation (BP) neural network, denoted as RLSTM-ED-BP. A dataset comprising 34,992 hydrological, climatic, and water quality (4-hourly) observations from the Hanjiang River Basin in China was divided for model training and testing. Comparative analysis with an RLSTM baseline demonstrated that the RLSTM-ED-BP model enhanced the Nash–Sutcliffe coefficient (NSE) by more than 5% and reduced the root mean square error by over 10% during the 24-h forecast horizon. The RLSTM-ED-BP model yielded NSE and threat score values exceeding 0.95 and efficiently provided early warnings for algal bloom events. The model's enhanced performance contributes to the generalizability of deep learning approaches in addressing the critical environmental challenge of algal blooms.
Regional joint regulation mode for flood control in plain cities: addressing extensive heavy rainfall
Authors: Liu Qianting , Zhang Zhiming , Liangrui Yang , Zhe Wang 
Published: February 2025

ABSTRACT

Establishing a coordinated flood storage and drainage joint regulation mode for various cities can effectively mitigate the disaster risk associated with extensive heavy rainfall. This study introduces a novel concept of joint regulation of urban agglomeration based on watershed features and spatial topological norms. From the perspective of urban agglomeration, three new modes are proposed to guide flood storage and drainage in plain cities: (1) storing before discharging, (2) discharging before storing, and (3) discharging while storing. The modes aim to facilitate coordination among neighboring cities in an urban agglomeration and enhance the temporal and spatial coordination of flood storage and drainage. Multi-layer tree rules are established to allocate modes to cities based on the spatial characteristics of flood risk, storage, and drainage performance. The fact case proves that the mode has certain practical applicability. There are 35, 151, and 30 plain cities that use DS, DWS, and SD modes, respectively, out of 221 total. Most urban agglomerations employ at least two different joint regulation modes. The multi-layer tree rules for mode allocation presented in this study provide theoretical guidelines for flood management in plain cities across various regions.
Temperature Development and Heat Control Analysis In Palu Bridge Pile Cap And Pillar
Authors: Irmawan Mudji , Boyke Christino , Yudoprasteyo Kohar , Rosyidi M. Fadhlan 
Published: February 2025

Aim
The research aims to evaluate the efficiency of multi-stage pouring and internal cooling water circulation in mitigating thermal cracking in the Palu Bridge's pile cap and pillar. Using 3D finite element analysis (FEA), it assesses compliance with ACI 301 standards and provides practical guidance for optimizing mass concrete construction based on time and budget constraints.

Background
Mass concrete structures, like the pile cap and pillar of the Palu Bridge, face significant risks of thermal cracking due to the heat of cement hydration. Such thermal stress compromises structural integrity, necessitating effective temperature management strategies.

Objective
This study aims to analyze and compare the efficiency of two temperature control methods—multi-stage concrete pouring and internal cooling water circulation—in maintaining temperature levels within ACI 301 standards during the construction of the Palu Bridge pile cap and pillar.

Methods
A 3D finite element analysis (FEA) was conducted to simulate temperature profiles during concrete hydration. Simulations were validated using a small-scale physical model, and scenarios incorporating staged pouring and cooling pipes were evaluated for compliance with industry temperature thresholds.

Results
The staged pouring method resulted in a maximum core temperature of 68.81°C and a differential temperature of 20.93°C while cooling pipes reduced the maximum temperature to 58.69°C with a differential of 13.16°C. Both approaches kept temperature levels below ACI 301 standards, ensuring structural integrity. The physical model closely mirrored the FEA results, validating the methodology.

Conclusion
Both temperature control strategies effectively mitigate thermal cracking risks. Staged pouring is cost-efficient but time-intensive, whereas cooling pipes offer faster construction at a higher cost. The selection of methods should consider project budget and timeline constraints.
Direct Costs of Rheumatoid Arthritis among Patients with Biological Therapy in Morocco: ECORAM Study
Authors: Zarrik Hanae , Hassani Abha Cherkani , Slaoui Meriem , Rkain Hanan , Lahlou Laila , Allali Fadoua , Bahiri Rachid , Ahid Samir 
Published: February 2025

Objective
The present study aims to estimate the annual direct costs of rheumatoid arthritis (RA) among patients with biological therapy in Morocco from the societal perspective and, to identify factors affecting the increase of direct costs.

Methods
This is a descriptive, observational, and ambispective cohort study which was accomplished over one year, from July 2019 to October 2020, with a follow-up after 6 months since the inclusion’s date. study, conducted in 110 patients with RA and under BDMARDs from July 2019 until October 2020. The data collection was done by face-to-face interviews using a questionnaire. Additional information was obtained from the patient’s files.

Results
the mean age of patients was 50.5 years old with 85% of women. The annual average total direct costs are $7,659 with a minimum and a maximum of $1,889.5 and $29,158.3 respectively. The medical costs represent 98% with the majority of BDMARDs (67%) at $4,944.73, followed by hospitalization costs (12%) at $889. The remaining 20% includes the other costs ($1,825). The RAMED (Régime assistance Médicale) paid around 47% of the total medical costs which is $3,445.56, and the health insurance organizations (CNOPS, CNSS, private insurance) paid $2,876.7 (39%), while patients paid $1,048.65 (14%) on medical and non-medical costs. The following factors were significantly associated with total direct costs of RA: marital status, number of children, working status, monthly household income, medical insurance, disease duration, to undergo surgery, DMARDs, NSAIDs and antalgic, and the class of BDMARDs.

Conclusion
The economic burden of RA is very high for the study population since the majority are vulnerable and have a monthly household income of less than $250. Further, two-thirds of patients had the RAMED, which supports almost all the medical costs. However, the costs paid by the patient are about one third of their annual household income.
Provider Perspectives on the Use of Mental Health Apps, and the BritePath App in Particular, With Adolescents at Risk for Suicidal Behavior: Qualitative Study
Authors: Lynch Frances , Cavese Julie , Fulton Lucy , Vuckovic Nancy , Brent David 
Published: February 2025

Background
Many youth with significant mental health concerns face limited access to mental health services. Digital programs, such as mobile apps designed to address mental health issues, have the potential to expand access to strategies for managing these conditions. However, few mental health apps are specifically designed for youth experiencing severe concerns, such as suicidal ideation. BritePath is a new app developed to enhance communication and interaction between providers and youth at risk for suicidal behavior.

Objective
This study aims to explore health care providers’ opinions and concerns regarding the use of mental health apps for youth at significant risk of suicidal behavior.

Methods
We conducted individual semistructured interviews with 17 providers across 7 states. Interviews were conducted via video, recorded, and transcribed. Codes were developed using a team-based approach, with discrepancies resolved through team discussions.

Results
Most providers were aware of mental health apps in general and expressed interest in trying the BritePath app with patients experiencing depression, suicidality, or both. Analyses identified 4 key themes related to mental health apps: (1) almost all providers viewed mental health apps as an adjunct to, rather than a replacement for, psychotherapy visits; (2) most providers were concerned about the cost of apps and youth access to them; (3) providers noted the challenge of maintaining patient engagement with apps over time; and (4) providers were concerned about patient privacy, in terms of both data shared with app developers and data privacy within families. Analyses of providers’ opinions specifically about the BritePath app identified 4 additional themes: (1) providers believed that access to safety plans within BritePath could be beneficial for youth at risk for suicidal behavior; (2) providers reported that BritePath’s interactive features could enhance communication between providers and youth; (3) providers appreciated BritePath’s flexibility and the ability for both youth and providers to tailor its content to individual needs; and (4) providers expressed concerns about integrating BritePath into clinical workflows within health systems.

Conclusions
The use of mental health apps is expanding, yet there is limited understanding of how to effectively integrate these tools into mental health treatment. Providers are increasingly referring patients to mental health apps, and most expressed interest in trying the BritePath app for patients with depression, suicidality, or both. However, providers also identified several concerns, particularly regarding privacy and safety.
Relations between Latvia and the Ukrainian People’s Republic, 1919–1921
Authors: Jēkabsons Ēriks 
Published: February 2025

With the collapse of the Russian Empire, a number of peoples, including Latvians, Estonians, Lithuanians and Ukrainians, sought independence. In 1919–1920, the goodwill of the Latvian government towards an independent Ukraine was based also on a purely pragmatic calculation of the political and economic benefits of cooperation. The relations between Latvia and the Ukrainian People’s Republic reached their peak in August and September 1920, when the Ukrainian delegation was admitted to negotiations between the Baltic States and Poland in Bulduri. After that the Latvian government was forced to reckon with the Soviet power actually existing on Ukrainian territory in order to maintain good relations with Soviet Russia, as well as to give thousands of Latvian refugees still in Ukraine a chance to return to their homeland.
The sometimes striking similarities, as well as the differences, in the struggle for independence of the two countries should be noted. The similarities include the intensity of the fighting and the large number of participants or political-military actors in both countries – the Ukrainians fought with the Poles (allied with them in 1920) the Ukrainian Bolsheviks, Soviet Russia, and White Russians in different periods. The Latvians – with the Latvian Bolsheviks, Soviet Russia, Germany and the German-Balts (allied with them in the initial period), and the White Russians. In both Latvia and Ukraine, apart from Soviet Russia, which both shared as a threatening neighbor with claims to lost territories, the interests of neighboring countries (Lithuania, Estonia and Poland in Latvia, Romania, Czechoslovakia and Poland in Ukraine) played an important role in developments in both countries, as did the involvement of the Western powers. As a result of frequent changes of power, both countries and their populations experienced a terror that is difficult to describe, not only of the powers involved, but above all, of the Bolsheviks, etc. However, Latvia and the other Baltic countries preserved their independence, while the Ukrainians did not. This stems from the differences between these countries. Firstly, obvious differences in the territory and size of the nations greatly intensified the scale of events and the number of participants. The Baltic governments managed to overcome their internal differences to create a fighting force, while the Ukrainian government largely failed to do so. However, the most important factor was the high level of national self-confidence of the Baltic peoples.
Early Continuous Glucose Monitor Use in Children and Adolescents With Type 1 Diabetes: Rates of Initiation and Impact on Glycemic Outcomes
Authors: Mann Elizabeth A. , Rompicherla Saketh , Miyazaki Brian , Rioles Nicole , Hardison Holly , Golden Lauren , Sarhis Jennifer , Akturk Halis K. , Lee Joyce , DeSalvo Daniel J. , Gomez Patricia , Ebekozien Osagie , Prahalad Priya 
Published: February 2025

OBJECTIVE
Early initiation of continuous glucose monitor (CGM) after type 1 diabetes (T1D) diagnosis has been associated with lower hemoglobin A1C (HbA1c) in single-institution studies. This multicenter study evaluated the association between the timing of CGM initiation and HbA1c at 3 years postdiagnosis.

RESEARCH DESIGN AND METHODS
Data were obtained from the T1D Exchange Quality Improvement Collaborative (T1DX-QI) electronic health record database from 25 pediatric centers and included children and adolescents ≤18 years old diagnosed with T1D in 2019 and 2020. CGM initiation and glycemic outcomes were followed for 3 years after diagnosis. Locally estimated scatterplot smoothing plots evaluated the relationship between timing of CGM initiation and HbA1c over time, and logistic regression models were used to adjust for potential confounders.

RESULTS
There were 4,164 people included in this analysis, mean age was 12.6 (SD 3.5) years, and 37% had public health insurance. Of the 93% (n = 3,877) who initiated CGM within 3 years of T1D diagnosis, 21% did so at 0–3 months, 14% at 3–6 months, 14% at 6–12 months, and 51% after 12 months. Median HbA1c at 3 years postdiagnosis was lower for the 0–3 and 3–6 months groups compared with the 6–12 months and non-CGM user groups (7.9%, 7.9%, 8.4%, and 9.5%, respectively). Adjusted odds of HbA1c &gt;9% were lowest for the 0–3 months group followed by the 3–6 months group.

CONCLUSIONS
In summary, early initiation of CGM within the first 6 months of diagnosis is associated with improved HbA1c outcomes at 3 years postdiagnosis.