bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Trend Models Performance and Forecasting Onion Production: A Comparative Study
Authors: Jahan Nayma , Noorunnahar Mst , Parvin Mst Tania 
Published: October 2024

Onions, a significant spice crop in Bangladesh, frequently experience price surges due to an imbalance between demand and supply, compelling the government to import onions. The volatility of the onion market in Bangladesh and the measures needed to stabilize the situation require intensive policy attention. Therefore, this study was carried out to forecast the onion production over time and to evaluate the efficacy of various trend models. The secondary data was collected from the Food and Agriculture Organization's Statistical Database (FAOSTAT) from 1972 to 2022. The autoregressive integrated moving average (ARIMA) model was used to predict the onion production over time. Additionally, metrics such as modified and the coefficient of determination were used to evaluate the effectiveness of eight trend models comprehensively. The findings indicate that the cubic model is superior to others since it has larger and adjusted values. The models' accuracy is also determined utilizing mean absolute percentage error (MAPE) and mean absolute deviation (MAD) metrics. The cubic trend model exhibits lower MAPE and MAD values of 29.43% and 80638.67, respectively. Therefore, it is concluded that the ARIMA (2, 2, 2) model is the best model for forecasting the annual production of onion in Bangladesh. A five-year trend analysis spanning from 2023-2027 indicates an upward trend. Such a result offers a critical insight for stakeholders and policymakers in formulating sustainable onion production strategies.
J Bangladesh Agril Univ 22(3): 386-395, 2024
Kyvykkyyksien kehittymisen tukeminen – eli pässiä narussa
Authors: Silvennoinen Heikki 
Published: October 2024

Suomen kielen asiantuntija ja kielenhuoltaja Laura Niemi paneutuu kirjassaan työelämän konsultti- ja kehittämispuheeseen. Käytännön esimerkkien siivittämää kirjaa voi suositella yhtä hyvin suurelle yleisölle kuin työelämän kehittämisen tutkijoille. Kirja kehottaa meitä kaikkia vaatimaan selkeää kieltä ja hyvää suomea. Se kehottaa myös kriittiseen valppauteen: jos työelämän kehittäjät saavat puhuttua meidät pyörryksiin, he vievät meitä kuin pässiä narussa.
Clinical perspective on innovative insulin delivery technologies in diabetes management
Authors: Koçkaya Güvenç , Battelino Tadej , Petrovski Goran , Jendle Johan , Sármán Beatrix , Elbarbary Nancy , Gökşen Damla , Alharbi Mohammed , Tibet Birol , Sharaf Amir Mustapha , Ökçün Selin , Öztürk Filiz , Kurnaz Mustafa 
Published: October 2024

IntroductionThe primary objective of this study is to report the results of an online questionnaire and the in-person discussion sessions of physicians specializing in diabetes care in which their opinions about current diabetes management was obtained.MethodsThe Diabetes Innovation Summit 2023 drew attendance from a diverse group of specialized physicians from multiple countries. A comprehensive literature review was conducted to examine the technologies and medical needs associated with diabetes management. Using the results of the review, a questionnaire was developed by three experts from the steering committee to solicit feedback from specialized physicians. The online survey was made accessible between 10th December 2022 and 10th January 2023. Following the online survey, six structured in-person discussion sessions were conducted with specialized physicians from the Middle East, Central-Eastern Europe, and North Africa regions.ResultsThe study revealed that about 59% of survey requests were answered, with many participants being pediatric endocrinologists from North Africa. Around 60% of diabetes patients followed Multiple Daily Injections (MDI) according to specialized physicians. Among MDI users, 62% employed Blood Glucose Monitors (BGM), 31% used intermittent-scanning Continuous Glucose Monitors (isCGM), and 23% used CGM. In North Africa, nearly 90% of patients used MDI due to financial constraints. While physicians focused on both Time in Range (TIR) and HbA1c for MDI-treated patients, satisfaction with TIR achieved was expressed by 31%, while 74·1% believed Real-Time CGM (rtCGM) was effective. Concerns arose about potentially misleading HbA1c results and the relatively low patient achievement of target TIR despite CGM usage. The Smart MDI System was seen favorably compared to other applications. The system’s affordability was a significant barrier, particularly in the Middle East and Africa.ConclusionThe present study highlights that physicians are generally supportive of utilizing new technology. The questionnaires and the open discussion revealed the expectation that the Smart MDI technology provides better control, primarily by identifying missed boluses, while expressing concerns on the use of the technology by teenagers and children, who might forget the device and be reluctant to use in public, and by the older population, who might be challenged by the technology.
Assessing the synergistic effect of “pollution and carbon reduction” and “economic growth”: a perspective from bilateral trade between China and RCEP countries
Authors: Wen Ya , Shu Ruijie , Gao Chen , Yan Shiling 
Published: October 2024

IntroductionWith the accelerating process of globalization, trade activities have had profound impacts on both the environment and economic development.MethodsThis paper comprehensively evaluates the synergistic effect of bilateral trade on “pollution reduction” and “carbon mitigation,” as well as “economic growth,” utilizing panel data from China and RCEP countries spanning the period from 1997 to 2020.ResultsThe empirical results reveal that bilateral trade significantly propels economic growth in RCEP countries and exhibits a positive “pollution reduction” effect, whereas its “carbon reduction” effect remains uncertain. To delve into the underlying reasons for bilateral trade’s failure to effectively mitigate carbon emissions, this paper undertakes a mechanism test along two opposing paths. Notably, the influence of bilateral trade on economic growth and “pollution reduction” in RCEP countries varies regionally. Specifically, bilateral trade is more efficacious in fostering economic growth in ASEAN countries. Additionally, bilateral trade enhances environmental quality in ASEAN countries, yet it deteriorates in non-ASEAN countries. Furthermore, this paper examines the intricate relationship between bilateral trade, economic growth, and “pollution reduction” through the application of the PVAR model. It concludes that optimizing environmental quality in RCEP countries is conducive to both local economic growth and bilateral trade.ConclusionThis study not only bears significant implications for understanding the complex interplay between economic growth, environmental quality, trade liberalization, and environmental policies, but also provides invaluable guidance for policy formulation and implementation aimed at achieving green transformation and fostering sustainable economic development.
Local sediment amendment can potentially increase barley yield and reduce the need for phosphorus fertilizer on acidic soils in Kenya
Authors: Scherwietes Eric , Stein Mathias , Six Johan , Bawen Titus Kiplagat , Schaller Jörg 
Published: October 2024

Soil acidification and low nutrient availability are two major challenges facing agriculture in most regions of East Africa, resulting in aluminum toxicity and poor crop yields. The amendment of local sediments to cropland can potentially alleviate these challenges, but responses are variable. In this study, we investigated the potential of two different local sediments influenced by volcanic deposits to increase soil pH, Si and P availability and reduce Al toxicity, thereby improve barley yield. Hence, a field experiment was established in Eldoret, Western Kenya, using 1% and 3% addition by weight of two sediments in barley cultivated plots. The Baringo 3% amendment significantly increased soil pH (from 4.7 to 7.0), the available P content (from 0.01 mg g−1 to 0.02 mg g−1) and decreased the Al availability (from 3.03 mg g−1–2.17 mg g−1). This resulted in a barley yield of 4.7 t/ha (+1061%). The Nakuru 3% and Baringo 1% amendments increased yield to 2–3 t/ha, while the Nakuru 1% did not significantly increase yield. These results highlight that, from a biophysical perspective, there are natural and local opportunities to reduce soil acidification and to partly replace mineral fertilizer, but its magnitude depends on the sediment and the amendment rate.
The role of forestry sciences in combating climate change and advancing sustainable development goals
Authors: Raman Raghu , Manalil Sudheesh , Dénes Dávid Lóránt , Nedungadi Prema 
Published: October 2024

IntroductionAs ecological disasters loom, forests play a crucial role in mitigating climate change and aligning with the United Nations Sustainable Development Goals (SDGs). This study aims to systematically examine the contribution of forestry science research to the SDGs through a multidisciplinary perspective, highlighting its role in advancing global sustainability efforts.MethodsUtilizing the PRISMA protocol, we conducted a comprehensive analysis of 39,841 publications since 2015, focusing on the intersection of forestry sciences with the SDGs. Network and keyword co-occurrence analyses were performed to identify thematic clusters and interdisciplinary linkages among SDGs.ResultsOur findings indicate a significant focus on SDG 15 (Life on Land) and SDG 13 (Climate Action), emphasizing the forestry sector’s contributions to biodiversity conservation, climate change mitigation, and ecosystem services. The analyses revealed thematic clusters centered around ecological sustainability, sustainable energy, and social development, demonstrating the diverse ways in which forestry research supports the SDGs.DiscussionThis study highlights the interdisciplinary nature of forestry sciences and identifies key areas of contribution while pointing to potential research gaps. Future research should explore advanced technologies such as AI-driven analytics and remote sensing, socioeconomic impacts of forest-based livelihoods, and innovative reforestation techniques. Strengthening urban forestry, enhancing interdisciplinary cooperation, and improving governance are recommended to ensure continued contributions of forestry sciences to global sustainability and the SDGs.
Morphological characteristics of CT blend sign predict hematoma expansion and outcomes in intracerebral hemorrhage in elderly patients
Authors: Wu Qian , Chen Na , Ren Yunxu , Ren Siying , Ye Fei , Zhao Xu , Wu Guofeng , Wang Likun 
Published: October 2024

Background and purposeThe underlying basis of the blend sign on brain computed tomography (CT) in patients with intracerebral hemorrhage (ICH) is unclear. Few studies have examined the morphological alterations in the CT blend sign in ICH. Therefore, we assessed changes in the CT blend sign and their association with hematoma expansion (HE) and adverse outcomes in ICH patients.MethodsWe recorded the clinical and radiographic parameters of patients with ICH and blend sign on brain CT. The patients were categorized into two groups, with changes in the relatively hypoattenuating region of the blend sign (CHB group) and with no changes in the relatively hypoattenuating region of the blend sign (NHB groups). We performed univariate and multivariate logistic regression analyses to examine the correlations between CHB and HE and poor outcomes. Furthermore, receiver operating characteristic curve analysis was used to confirm the predictive power of CHB.ResultsIn total, 183 patients were included in the study, of whom 74 (40.4%) demonstrated changes in the hypoattenuating region of the blend sign, whereas 109 (59.6%) did not. Compared with the NHB group, patients in the CHB group exhibited significantly higher levels of HE and adverse outcomes. After adjustment for confounding factors, CHB was independently associated with HE (odds ratio, 19.401 [95% CI, 7.217–52.163]; p &lt; 0.001) and poor 3-month outcomes (odds ratio, 2.638 [95% CI, 1.391–5.003]; p = 0.003) in the multivariate analysis. The sensitivity, specificity, positive predictive value, and negative predictive value of CHB for predicting HE were 0.877, 0.768, 0.791, and 0.862, respectively, whereas these values for predicting poor outcomes were 0.789, 0.641, 0.688, and 0.752, respectively.ConclusionChanges of a hypoattenuating region within the blend sign have good predictive accuracy for HE and short-term adverse outcomes in elderly patients with ICH.Clinical trial registrationClinicalTrials.gov, NCT05548530.
Predictive modeling of sensory responses in deep brain stimulation
Authors: Halász László , Sajonz Bastian E. A. , Miklós Gabriella , van Elswijk Gijs , Hagh Gooie Saman , Várkuti Bálint , Tamás Gertrúd , Coenen Volker A. , Erōss Loránd 
Published: October 2024

IntroductionAlthough stimulation-induced sensations are typically considered undesirable side effects in clinical DBS therapy, there are emerging scenarios, such as computer-brain interface applications, where these sensations may be intentionally created. The selection of stimulation parameters, whether to avoid or induce sensations, is a challenging task due to the vast parameter space involved. This study aims to streamline DBS parameter selection by employing a machine learning model to predict the occurrence and somatic location of paresthesias in response to thalamic DBS.MethodsWe used a dataset comprising 3,359 paresthetic sensations collected from 18 thalamic DBS leads from 10 individuals in two clinical centers. For each stimulation, we modeled the Volume of Tissue Activation (VTA). We then used the stimulation parameters and the VTA information to train a machine learning model to predict the occurrence of sensations and their corresponding somatic areas.ResultsOur results show fair to substantial agreement with ground truth in predicting the presence and somatic location of DBS-evoked paresthesias, with Kappa values ranging from 0.31 to 0.72. We observed comparable performance in predicting the presence of paresthesias for both seen and unseen cases (Kappa 0.72 vs. 0.60). However, Kappa agreement for predicting specific somatic locations was significantly lower for unseen cases (0.53 vs. 0.31).ConclusionThe results suggest that machine learning can potentially be used to optimize DBS parameter selection, leading to faster and more efficient postoperative management. Outcome predictions may be used to guide clinical DBS programming or tuning of DBS based computer-brain interfaces.
Unilateral and bilateral radioactive stent insertion in patients diagnosed with inoperable hilar cholangiocarcinoma: a comparative analysis
Authors: Jin Jin-Long , Li Wei , Wu Zhi-Xian , Feng An-Qiang , Li Hao 
Published: October 2024

BackgroundWhile hilar cholangiocarcinoma (HCCA) patients commonly undergo radioactive stent (RS) insertion treatment, the relative benefits of unilateral versus bilateral RS insertion procedures remain to be established. Accordingly, this study was designed to evaluate the relative safety and efficacy of percutaneous bilateral and unilateral RS insertion for patients with HCCA.MethodsIn total, 126 HCCA patients who underwent unilateral (n=64) or bilateral (n=62) RS insertion from January 2017 - December 2021 were included in this analysis. Treatment efficacy and long-term outcomes were compared between groups. The primary endpoint was stent patency, and the secondary endpoints included technical success rate, clinical success rate, local control rate, overall survival (OS), and complications.ResultsThe respective technical success rates in the unilateral and bilateral groups were 90.6% (58/64) and 93.5% (58/62) (P = 0.782). The clinical success rates were 82.8% and 86.2% in unilateral and bilateral groups, respectively (P = 0.608). Both groups exhibited comparable medial post-intervention bilirubin levels (100 vs. 99 μmol/L; P = 0.501), and restenosis occurred in 12 (20.7%) and 15 (25.9%) patients over the follow-up interval (P = 0.510). The stent reintervention rate was significantly higher in the unilateral group than bilateral group (66.7% vs. 0.0%, P &lt; 0.001). The median stent patency in the unilateral and bilateral groups was 189 and 210 days, respectively (P = 0.796), while the median OS interval was 222 and 229 days, respectively (P = 0.969). Comparable cholangitis (17.2% vs. 22.4%, P = 0.485) and cholecystitis (3.4% vs. 3.4%, P = 1.000) rates were also detected in these two groups.ConclusionsIn summary, HCCA patients exhibit comparable efficacy when undergoing unilateral and bilateral radioactive stenting, suggesting that unilateral RS can be routinely performed owing to the simpler nature of this procedure.
Advances in ovarian cancer radiomics: a bibliometric analysis from 2010 to 2024
Authors: Lan Wang , Hong Jiang , Huayun Tan 
Published: October 2024

ObjectiveOvarian cancer, a leading cause of death among gynecological malignancies, often eludes early detection, leading to diagnoses at advanced stages. The objective of this bibliometric analysis is to map the landscape of ovarian cancer radiomics research from 2010 to 2024, emphasizing its growth, global contributions, and the impact of emerging technologies on early diagnosis and treatment strategies.MethodsA comprehensive search was conducted using the Web of Science Core Collection (WoSCC), focusing on publications related to radiomics and ovarian cancer within the specified period. Analytical tools such as VOSviewer and CiteSpace were employed to visualize trends, collaborations, and key contributions, while the R programming environment offered further statistical insights.ResultsFrom the initial dataset, 149 articles were selected, showing a significant increase in research output, especially in the years 2021-2023. The analysis revealed a dominant contribution from China, with significant inputs from England. Major institutional contributors included the University of Cambridge and GE Healthcare. ‘Frontiers in Oncology’ emerged as a crucial journal in the field, according to Bradford’s Law. Keyword analysis highlighted the focus on advanced imaging techniques and machine learning.ConclusionsThe steady growth in ovarian cancer radiomics research reflects its critical role in advancing diagnostic and prognostic methodologies, underscoring the potential of radiomics in the shift towards personalized medicine. Despite some methodological challenges, the field’s dynamic evolution suggests a promising future for radiomics in enhancing the accuracy of ovarian cancer diagnosis and treatment, contributing to improved patient care and outcomes.
A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties
Authors: Anshori Muhammad Fuad , Musa Yunus , Farid Muh , Jayadi Muh , Padjung Rusnadi , Kaimuddin Kaimuddin , Huang Yi Cheng , Casimero Madonna , Bogayong Iris , Suwarno Willy Bayuardi , Sembiring Hasil , Purwoko Bambang Sapta , Nur Amin , Wahyuni Wahyuni , Wasonga Daniel O. , Seleiman Mahmoud F. 
Published: October 2024

The genotype evaluation process requires analysis of GxE interactions to ascertain the responsiveness of a genotype to various environments, including the development of early maturing rice. However, the concept of interaction is relatively specific to grain yield. In contrast, grain yield is highly polygenic, so assessment should be carried out with multivariate approaches. Therefore, multivariate assessment in evaluating GxE interactions should be developed, especially for early maturing rice genotypes. The study aimed to develop a comprehensive multivariate approach to improve the comprehensiveness and responsiveness of GxE interaction analysis. The study was conducted in Bone and Soppeng districts, South Sulawesi, Indonesia, in two seasons. The study used a randomized complete block design, where replications were nested across two seasons and locations. Two check varieties and five early maturing varieties were replicated three times in each environment. Based on this study, a new approach to GxE interaction analysis based on multiple regression index analysis, BLUP analysis, factor analysis, and path analysis was considered adequate, especially for evaluating early maturing rice. This approach combined days to harvest, biological yield, and grain yield in multiple linear regression with weighting based on the combination of all analyses. The effectiveness of the GxE interaction assessment was reflected by high coefficient of determination (R2) and gradient (b) values above 0.8 and 0.9, respectively. Inpari 13 (R2 = 0.9; b=1.05), Cakrabuana (R2 = 0.98; b=0.99), and Padjajaran (R2 = 0.95; b=1.07) also have good grain yield with days to harvesting consideration, namely 7.83 ton ha-1, 98.12 days; 7.37 ton ha-1, 95.52 days; and 7.29 ton ha-1, 97.23 days, respectively. Therefore, this index approach can be recommended in GxE interaction analysis to evaluate early maturing rice genotypes. Furthermore, Inpari 13, Cakrabuana, and Padjajaran are recommended as adaptive early maturing varieties.
Identification and functional analysis of two serotonin N-acetyltransferase genes in maize and their transcriptional response to abiotic stresses
Authors: Guo Xiaohao , Ran Le , Huang Xinyu , Wang Xiuchen , Zhu Jiantang , Tan Yuanyuan , Shu Qingyao 
Published: October 2024

IntroductionMelatonin, a tryptophan-derived indoleamine metabolite with important roles in plant growth and defense, has recently been regarded as a new plant hormone. Maize is one of the most important cereal crops in the world. Although the melatonin receptor gene, ZmPMTR1, has already been identified, the genetic basis of melatonin biosynthesis in maize has still not been elucidated. Serotonin N-acetyltransferase (SNAT) is the enzyme that converts serotonin to N-acetylserotonin (NAS) or 5-methoxytryptamine (5MT) to melatonin in Arabidopsis and rice, but no SNAT encoding gene has been identified yet in maize.MethodsThe bioinformatics analysis was used to identify maize SNAT genes and the enzyme activity of the recombinant proteins was determined through in vitro assay. The expression levels of ZmSNAT1 and ZmSNAT3 under drought and heat stresses were revealed by public RNA-seq datasets and qRT-PCR analysis.ResultsWe first identified three maize SNAT genes, ZmSNAT1, ZmSNAT2, and ZmSNAT3, through bioinformatics analysis, and demonstrated that ZmSNAT2 was present in only eight of the 26 cultivars analyzed. We then determined the enzyme activity of ZmSNAT1 and ZmSNAT3 using their recombinant proteins through in vitro assay. The results showed that both ZmSNAT1 and ZmSNAT3 could convert serotonin to NAS and 5-MT to melatonin. Recombinant ZmSNAT1 catalyzed serotonin into NAS with a higher catalytic activity (Km, 8.6 mM; Vmax, 4050 pmol/min/mg protein) than ZmSNAT3 (Km, 11.51 mM; Vmax, 142 pmol/min/mg protein). We further demonstrated that the 228th amino acid Tyr (Y228) was essential for the enzymatic activity of ZmSNAT1. Finally, we revealed that the expression of ZmSNAT1 and ZmSNAT3 varied among different maize cultivars and different tissues of a plant, and was responsive to drought and heat stresses.DiscussionIn summary, the present study identified and characterized the first two functional SNAT genes in maize, laying the foundation for further research on melatonin biosynthesis and its regulatory role in plant growth and response to abiotic stresses.