bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioeconomic simulator for economic and financial calculations for management support of tilapia finishing fish farms
Authors: Nass Rosiane Araujo Rodrigues , Brumatti Ricardo Carneiro , Povh Jayme Aparecido , de Oliveira Carlos Antonio Lopes , Ribeiro Ricardo Pereira 
Published: August 2022

Abstract
Owing to the importance gained by the Nile tilapia (Oreochromis niloticus) in recent years, it is necessary to use tools for the control and management of finishing fish farms. The work was conducted with the objective of developing a bioeconomic simulator for use as a tool to assist finishing fish farms and support the management decisions taken. One tool was developed through the combination of spreadsheets that align the centers of technical and economic control, making it possible to obtain economic and financial results by filling in data (inputs), which is real or can be simulated. The spreadsheets are interconnected, and after the data are inserted, the results are automatically generated. Data from its performance indicators and technicians were used for the creation of four scenarios: Monophase x Nursery (MonoN), Monophase x Cage (MonoC), Multiphase x Nursery (MultiN), and Multiphase x Cage (MultiC). The MultiC system had the highest revenue (US$288,996.16) and net income (US$72,563.52), resulting in a better use of resources, with high density, reaching productivity of 283.41 kg/m³. In the financial evaluation, all systems were acceptable to investors, with MultiC presenting the best results, with an Internal Rate of Return of 20.41% and a six-year payback. The simulator was able to carry out the calculations and present results close to those found in the finishing fish farms, being able to be used with other combinations of data. The simulator proved to be an efficient and easy-to-use tool, providing several automatic analyses aimed at assisting producers and researchers.
Growth performance of broilers and prevalence of different diseases vary with environmental variation
Authors: Ahmed Moudud , Siddiqui Sharif Hasan , Das Tushar Kumar , Choe Hosung , Kang Darae , Shim Kwanseob 
Published: August 2022

AbstractBroiler meat is known for its nutritional value, availability, and low price. Although, broilers are more sensitive to environmental conditions and need a specific environment for optimum production. However, global warming and natural disasters are important obstacles to broiler production. Therefore, we conducted this study to reveal the broiler production status throughout the year in a subtropical region. In our study, we selected the years 2019, 2020, and 2022. The study area included Noakhali and Lakshimpur, located in the southern part of Bangladesh. We selected 10 smallholder broiler farms following specific conditions and collected information at the end of each month for analysis. The body weight of broilers was significantly lower in July than in other months. However, the mortality was significantly lower in July than in other months of the year. Nonetheless, the prevalence of viral disease was higher in the winter season (January, February, and December). Although, the metabolic disease prevalence was higher in October, a high prevalence of bacterial disease was found in April. These results suggest that high temperatures decrease broiler production while broilers are more susceptible to viral disease in the winter season.
Determining local scale extreme sea level elevation at the open coast of Côte d’Ivoire: Case study of the Bay of Port-Bouët
Authors: Kouakou Kouassi Marcel De Paul , Bonou Frederic , Gnandi Kissoa , Djagoua Eric Valère , Idrissou Mouhamed , Abunkudugu Asaa Akunai 
Published: August 2022

Abstract
The bay of Port-Bouët is threatened by extreme sea level (ESL) events, which result from the combination of storm tide, wave runup and sea level rise (SLR). This study provides comprehensive present-day and future ESL elevation scenarios at local scale along the bay, to understand the evolution of the phenomenon and promote adaptation at neighbourhood level. The methodological steps involve firstly, a reconstruction of historical storm tide and wave runup data using respectively a hydrodynamic model (D-flow FM) and the empirical model of Stockdon et al. Secondly, the generalised pareto distribution (GPD) model fitted to the peaks-over-thresholds (POT) method is applied on the data to calculate their extreme return values. Thirdly, we combine extreme storm tide and wave runup through the joint probability method to obtain present-day ESLs. Lastly, the present-day ESLs are integrated with the recent SLR projection to provide ESL estimates for the years 2030, 2050 and 2100. Results show that the present-day ESL are relatively high with the 100-year return levels being 4.37m, 4.97m and 4.48m at Vridi, Petit-Bassam and Sogephia respectively. Future SLR is expected to increase the current ESL elevations by 0.49m, 0.62m or 0.84m by 2100 depending on the climate change scenarios. The developed ESL scenarios can be used to assess potential coastal flood risk in the study area for sustainable and effective coastal management and future planning.
Underdiagnosis of hereditary haemochromatosis; A retrospective study of 362,275 patients
Authors: Krasin Elisha , Doron Ran , Morgan Sam , Schermann Haggai 
Published: August 2022

Abstract
Background: Hereditary haemochromatosis is the most common known inherited disease in Caucasians. Pathological iron accumulation in tissues is known to cause cirrhosis, hepatocellular carcinoma and other manifestations. While early diagnosis and treatment can prevent the consequences of this disease, reports of this disorder suggest that it is underdiagnosed. Aims: The purpose of the current study was to compare the expected prevalence of hereditary haemochromatosis, based on the positive predictive values of increased transferrin saturation, to the actual number of patients that have been diagnosed.Methods: Medical record data of 362,275 adult patients were collected at one tertiary care center. An increase in transferrin saturation (above 50% for women and 60% for men) is a marker for hereditary haemochromatosis with 86% positive predictive value.Results: 1597 patients from the cohort had increased transferrin saturation. Considering the positive predictive values, the expected number of patients having hereditary haemochromatosis would be 1377 (0.38% of the cohort). 74 patients from the cohort were previously diagnosed with haemochromatosis or iron overload. The expected prevalence of hereditary haemochromatosis in the cohort is at least 18.6 times higher than that was actually diagnosed. Conclusion: Hereditary haemochromatosis is an underdiagnosed disease. We found that the expected prevalence in our cohort is comparable with reported population data. The discrepancy between the number of actually diagnosed patients and the expected number is enormous. Increasing the awareness for the diagnosis of this disorder and potentially changing the current recommendations for screening are necessary towards improving the clinical outcomes in these patients.
Type: xxx Henon Map based Chaotic Pulse Train Generator
Authors: Babu Soumya , Vijayakumar Vijayakumar.N , K Gopakumar 
Published: August 2022

Abstract
The Henon Map forms one of the most-studied two dimensional discrete-time dynamical system that exhibits chaotic behavior. The Hénon map takes a point (xn, yn) in the plane and maps it to a new point (xn+1, yn+1). In this paper, a pulse generator based on chaotic Henon map is proposed. It consists of a Henon map function subcircuit to realize the Henon map and a subcircuit to carry out the iterative operation. The Henon map subcircuit comprises of operational amplifiers, multipliers, delay elements and resistors whereas, the iterative subcircuit is implemented with a simple design without any clock control. The proposed design can be used to realize Henon map and also to generate chaotic pulse train, with a controllable time interval and pulse position. The proposed circuit is designed and implemented using Multisim. The chaotic nature of the generated pulse train and also the time interval between the consecutive pulses can be verified by the calculation of its Lyapunov Exponents.
Multimedia design for learner interest and achievement: A visual guide to pharmacology
Authors: Bland Tyler , Guo Meize , Dousay Tonia A. 
Published: August 2022

Abstract
Background: Medical education increasingly relies on digital learning materials. Despite recognition by the Association of American Medical Colleges Institute for Improving Medical Education, medical education design often fails to consider quality multimedia design principles. Further, the AAMC-IIME issued a call to study the role of design principles in medical education. Thus, the current study investigated the cognitive and affective effects of redesigning PowerPoint slides used to support pharmacology content during the preclinical years of medical school training.Methods: Researchers implemented a quasi-experimental design, using traditionally-designed slides with a Control group (n=32) and slides redesigned to follow principles from the Cognitive Theory of Multimedia Learning with an Experimental Group (n=28). Participants completed a post-survey incorporating the Situational Interest Survey for Multimedia to indicate motivational engagement with the media. Students in the Experimental group also responded to additional preference questions. Researchers analyzed survey responses and students’ scores in pharmacology-related coursework across the preclinical Foundations Phase of training to determine impact on achievement and motivation.Results: Findings related to learner achievement showed a modest but significant increase at the Experimental site compared to the Control site (101%, p = 0.043). Additionally, participants in the Experimental group (M=4.85, SD=0.25) indicated a significantly higher average triggered situational interest than the Control group (M=3.23, SD=1.40, t=-6.33, p<0.001). Similarly, the interest rating of the Experimental group (M=4.87, SD=0.24) was significantly greater than that of the Control group (M=3.89, SD=0.86, t=-6.824, p<0.001). Moreover, results further indicated significant differences in the maintained-feeling and maintained-value constructs, and all participants in the Experimental group indicated a preference for the redesigned slides.Conclusions: The findings provide strong evidence in support of using the Cognitive Theory of Multimedia Learning design principles to intentionally design media in medical education. In addition to increased achievement scores, students in the Experimental group demonstrated significantly higher levels of situational interest, especially triggered interest and maintained-feeling interest. Medical education learning designers should seriously consider redesigning media to achieve similar results.
A T2 Weighted Imaging-based Radiomics Nomogram for the Classification of Hepatic Blood-rich Lesions: Hepatocellular Carcinoma and Benign Liver Lesions
Authors: yang chen , Zhu Fandong , Xia Yang , Yang Liming , Zhang Minming , Zhao Zhenhua 
Published: August 2022

Abstract
PurposeFocal lesions of the liver are usually detected by enhanced CT and further diagnosed by enhanced MR in clinical practice. The harmful effects of repeated contrast use in CT and MR, and the subjectivity of conventional imaging increase the risk of misdiagnosis. Our aim is to establish a radiomics nomogram based on T2-weighted imaging for differentiating hepatocellular carcinoma and benign liver lesions with rich blood supply and to estimate the enhancive value to the traditional imaging diagnosis.MethodsThe retrospective study analyzed the imaging and clinical data of 144 patients with hepatocellular carcinoma (n=101) and benign blood-rich lesions of the liver (n=43) pathologically confirmed. These patients were randomly assigned to the training cohort (n=100) and the validation cohort (n=44). We developed three prediction models - a radiomic model, a clinical model, and a fusion model that combined radiomics score (Rad-score) with clinical factors. Comparing the predictive performance of three models, we obtained the best prediction model, which was then compared with the diagnostic efficacy of junior and senior radiologists. The efficacy was evaluated using the area under receiver operating characteristic curve (ROC).ResultsFour radiomics features and three clinical factors (age, sex, lesion location) were chosen for construction of the radiomics model and the clinical model, respectively. Comparing to the radiomics model and the clinical model, the fusion model showed significant discrimination capability in the training set (AUC, 0.972; 95%CI 0.918 - 0.995) and the validation set (AUC, 0.943; 95%CI 0.829 - 0.990). And it was statistically better than the junior radiologist and the senior radiologist in the training cohort (p=0.007 and p=0.005, respectively).ConclusionsThe T2WI-based radiomics nomogram greatly complements the flaw of traditional imaging diagnosis and avoid the reuse of contrast agents. It might facilitate early clinical diagnosis and precision treatment with performed exceedingly favorable predictive efficacy in differentiating HCC and BLLs with rich blood supply.
Training Interdisciplinary Statistical Collaborators: A Comparative Case Study
Authors: Alzen Jessica L. , Trumble Ilana M. , Cho Kimberly J. , Vance Eric A. 
Published: August 2022

Abstract
Statistics is an inherently collaborative discipline as individuals across academia, government, and industry all rely on data to answer relevant questions and innovate in their fields. As a result, there is a growing body of research regarding how to teach interdisciplinary collaboration skills to statistics students. However, much of this work relies on data that do not objectively assess collaboration. Additionally, prior research lacks detailed evidence of how to assess quality of collaboration skills. In this case study, we compare the statistical collaboration skills of both a team of students and an expert collaborator on two components of effective statistical collaboration: structuring a statistical collaboration meeting and communicating with a domain expert during a statistical collaboration meeting. We find that students can facilitate meetings and communicate comparably well to an expert statistical collaborator, but that expert collaborators may be better able to facilitate meetings and communicate to develop strong relationships with domain experts, an important element for high-quality and long-term statistical collaboration projects. Further work is needed to generalize these findings to a larger population, but these results begin to inform the field regarding effective ways to teach specific statistical collaboration skills.
Effective separation of Oil-in-Water using exfoliated g-C3N4- PSf composite membranes
Authors: Balakrishna R. Geetha , Divakar Swathi , Sherugar Prajwal , Nagaraja K.K. , Padaki Mahesh 
Published: August 2022

Abstract
Integrated membranes are found to have tremendous application in treating oily waste water to produce potable water. The present work reports the use of graphitic carbon nitride (g-C3N4) as a suitable membrane additive mainly because of its hydrophilic nature and strong functionality. Exfoliated g-C3N4 offers high surface area and more active centres required for membrane applications. This work demonstrates the excellent features observed on exfoliation of g-C3N4 as a composite material in polysulphone (PSf) membranes. The well thought out exfoliated g-C3N4-PSf composite gave promising oil-water separation with oil rejection >99%. In addition, these exfoliated laminar planes interacted well with the polymer giving both thermally and mechanically stable membranes. The membrane also attains high porosity, enhanced hydrophilicity and adequate oily water treatment ability. Oil being the important fouling component can easily destroy membranes if not addressed. This fouling behaviour of membrane is tackled where the composite membrane shows a remarkable flux recovery ratio of near 100% with no comprise in oil rejection during subsequent cycles. This current study demonstrates high porosity, enhanced hydrophilicity and adequate oil-water treatment ability. The study does provide insights into the use of such nanosheets to achieve good chemical interaction with the membrane matrix thus providing the synergistic features of both g-C3N4 and PSf.
Beneficial effects of conservation agriculture on soil fauna communities in Northern France
Authors: Dulaurent Anne-Maïmiti , Houben David , Honvault Nicolas , Faucon Michel-Pierre , Chauvat Matthieu 
Published: August 2022

AbstractAim Conservation agriculture is increasingly adopted to improve soil fertility and reduce the depressive effects of intensive farming on soil functions and associated services. However, conservation agriculture systems may greatly differ from each other by their age and the quantity and the quality of cover crops and the effects of these variables on soil fauna are still poorly known. Here, we aim at gaining insight into the impact of conservation agriculture on soil mesofauna and macrofauna communities at the cropping and farming system levels. Method Collembola and earthworm communities were compared in seven neighbouring pairs of fields (same topography, spring crop and soil type) being either under conventional systems, or under conservation agriculture systems with intermediate autumn cover crops. Results Conservation agriculture systems positively influenced soil mesofauna and macrofauna communities compared to conventional systems. The beneficial effects of conservation agriculture on earthworm communities were predominantly related to the lower soil physical disturbance (no-tillage) while Collembola were also positively affected by cover crop characteristics and the age of the practice. Conclusions The adoption of conservation agriculture systems may improve earthworm and Collembola abundance and represents thus an innovative opportunity for sustainable crop production through the preservation of soil biodiversity. In addition, our findings suggest that both earthworms and Collembola may be used as indicators for agri-environmental management at the cropping system level.
Microplastics in surface water of Laguna de Bay: First documented evidence on the largest lake in the Philippines
Authors: Arcadio Cris Gel Loui A. , Navarro Carl Kenneth P. , Similatan Kaye M. , Inocente Sherley Ann T. , Ancla Sheila Mae B. , Banda Marybeth Hope T. , Capangpangan Rey Y. , Torres Armi G. , Bacosa Hernando P. 
Published: August 2022

Abstract
The pollution of aquatic systems by microplastics is a well-known environmental problem. However, limited studies have been conducted in freshwater systems, especially in the Philippines. Here we determined for the first time the amount of microplastics in the Philippines’ largest freshwater lake, the Laguna de Bay. Ten (10) sampling stations on the lake's surface water were sampled using a plankton net. Samples were extracted and analyzed using Fourier transformed infrared spectroscopy (FTIR). A total of 100 microplastics were identified from 10 sites with a mean density of 14.29 items/m3. The majority of microplastics were fibers (57%), while blue-colored microplastics predominated in the sampling areas (53%). There were 11 microplastic polymers identified predominantly polypropylene (PP), ethylene vinyl acetate copolymer (EVA), and polyethylene terephthalate (PET), which together account for 65% of the total microplastics in the areas. The results show that there is a higher microplastic density in areas with high relative population density which necessitates the implementation of proper plastic waste management measures in the communities operating on the lake and in its vicinity to protect the lake's ecosystem services. Furthermore, future research should also focus on the environmental risks posed by these microplastics, especially on the fisheries and aquatic resources.
Caffeine Ameliorates the Metabolic Syndrome in Diet-induced Obese Mice Through Regulating the Gut Microbiota and Serum Metabolism
Authors: Chen Li , Wang Xian-jun , Chen Jie-xin , Yang Jing-cheng , lin Ling , Cai Xian-Bin , Chen Yong-song 
Published: August 2022

Abstract
Objective
Obesity is associated with gut microbiota disorders, which has been related to developing metabolic syndromes. The research aims to investigate the effects of caffeine treatment on insulin resistance, intestinal microbiota composition and serum metabolomic changes in high-fat diet (HFD)-induced obesity mice.
Methods
Eight-week-old male C57BL/6J mice were fed a normal chow diet (NCD) or HFD with or without different concentrations of caffeine. After 12 weeks of treatment, body weight, insulin resistance, serum lipid profiles, gut microbiota and serum metabolomic profiles were assessed.
Results
Caffeine intervention improved the metabolic syndrome in HFD-fed mice, such as serum lipid disorders and insulin resistance. 16S rRNA Sequencing analysis revealed that caffeine increased the relative abundance of Dubosiella, Bifidobacterium and Desulfovibrio and decreased that of Bacteroides, Lactobacillus and Lactococcus to reverse HFD-fed obesity in mice. Additionally, Caffeine Supplementation also altered serum metabolomics, mainly focusing on lipid metabolism, bile acid metabolism and energy metabolism. Caffeine increased its metabolite 1,7-Dimethylxanthine, which was positively correlated with Dubosiella.
Conclusions
Caffeine exerts a beneficial effect on insulin resistance in HFD-mice, and the underlying mechanism may be partly related to altered gut microbiota and bile acid metabolism.
LH level does not indicate poor response to GnRh-a single trigger: A retrospective analysis
Authors: Li Xue-Fei , Wang Qiao-Feng , He Qi-Qi , Wang XueJiao , LV Xing-Yu , Tang Xiaojun , Zhong Zhaohui , Ding Yu-Bin , Wan Qi 
Published: August 2022

AbstractObjective:To compare the embryo condition and clinical outcomes between patients with low and normal serum luteinizing hormone (LH) levels on the day after a single trigger of gonadotropin-releasing hormone agonist (GnRH-a). In patients with low LH levels we further analyzed the efficacy of human chorionic gonadotropin (HCG) to trigger ovulation.Methods:We retrospectively analyzed 957 infertile patients (tubal factor, ovulation disorders, male sperm factor, or unexplained infertility) who were treated with in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI)-assisted pregnancy at the Chengdu Xinan Gynecology Hospital from July 2017 to December 2020. Patients with sufficient GnRH-a single trigger and normal serum LH levels on the next day were used as the control group (n=906), and patients with low LH levels were set as the experimental group (n=51), of whom 10 received HCG retriggering. We analyzed the effects of low and normal LH levels, and the efficacy HCG retriggering in patients with low LH level on the embryo status and embryonic transplantation after cryopreservation outcome of patients.Results:There were no significant differences in egg yield, 2PN fertilization rate, excellent embryo rate, or live birth rate of frozen-thawed embryos between patients with low and normal LH levels after GnRH-a trigger. There was also no difference in patients with low LH levels who received HCG retriggering or not.Conclusion:The outcomes of patients with low LH levels on the day after GnRH-a administration were similar to those of patients with normal LH levels. The embryo status and live birth rate of frozen-thawed embryos in patients with low LH levels in the HCG retriggering and non-HCG retriggering groups are similar. When blood LH< 10 miu/ml was measured on the day after GnRH-a trigger, no special treatment was required, and there was no significant effect on embryonic and clinical outcomes. No blood LH test is required on the day following the trigger, which does not affect the outcome of in vitro fertilization.