bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supervised Machine Learning Applications for Detecting Russian Federation Sponsored Social Media Misinformation
Authors: Wiese Thomas , Wiese Jessica 
Published: October 2022

Abstract
Misinformation has shifted political narratives across the globe. Because information shared over social media platforms lack traditional publishers and editors, the public is more susceptible to consuming information that is untrue. During the 2016 U.S. presidential election, the Russian government sponsored information operatives to spread misleading and/or false claims through social media. This study defines a method for automated detection of misinformation on social media using machine learning.
Plasma Biomarkers in Early-Onset Schizophrenia. Case-Control Study in Adolescent Population
Authors: Zakowicz Przemysław , Skibińska Maria , Waśniewski Filip , Skulimowski Bartosz , Pawlak Joanna 
Published: October 2022

Abstract
Schizophrenia onset in the developmental age has strong neurodevelopmental burden and links with a poorer prognosis. The approach to diagnosis is still based on symptomatic description without objective validation. In the study we aimed to compare the peripheral blood levels of hypothesized biomarker proteins: brain-derived neurotrophic factor (BDNF), proBDNF, p75 neurotrophin receptor (p75NTR) and S100B between early-onset schizophrenia-spectrum adolescents (n = 45) and healthy controls. Assessment of the schizophrenia-spectrum adolescents encompassed symptomatic description with the use of structuralized interviews and executive function objective measurement. Plasma levels of BDNF protein were significantly lower in schizophrenia patients (p < 0.001) than in controls both at admission and 6–8 weeks follow-up. We observed significant correlations between BDNF, proBDNF and p75NTR levels and positive and negative symptoms scale (PANSS) scores, p75NTR and S100B levels and suicidal parameters, as well as a correlation of BDNF plasma level with the risky decision-making style in Iowa Gambling Task (IGT). The results indicate a potential value of studied proteins as a biomarker in the diagnosis and monitoring of the disease’s course.
Improvement of growth, yield and diversity of bacterial community of rice by the application of probiotic Paraburkholderia and Delftia
Authors: Islam Tofazzal , Fatema Kaniz , Hoque M. Nazmul , Gupta Dipali Rani , Mahmud Nur Uddin , Surovy Musrat Zahan 
Published: October 2022

Abstract
Background: Plant probiotic bacteria enhance growth and yield of crop plant when applied in appropriate time and dose. Two rice probiotic bacteria, Paraburkholderia fungorum strain BRRh-4 and Delftia sp. strain BTL-M2 promote growth and yield of plants. However, no information is available on application of these two bacteria on growth, yield, and diversity and population of bacteriome in roots and rhizosphere soils of the treated rice plants. This study aimed to assess the effects of growth, yield and bacteriome in roots and rhizosphere of rice by the application of BRRh-4 and BTL-M2 with varying doses of recommended N, P and K fertilizers.
Results: Application of BRRh-4 and BTL-M2 strains also significantly increased seed germination, growth and yield of rice compared to untreated control. Interestingly, the grain yield of rice by these bacteria with 50% reduced recommended doses of N, P, and K fertilizers were statistically similar to or better than the rice plants treated with 100% doses of these chemical fertilizers only. The metagenomics analysis by next generation sequencing revealed that the diversity in bacteriome were significantly higher (PERMANOVA, p = 0.0312) in the rice plants and rhizosphere soils that received both probiotic bacteria and chemical fertilizers compared to the rice plants treated with chemical fertilizers only. However, the diversity in bacteriome was more significant (p = 0.019, Kruskal-Wallis test) in the root bacteriome signature than in the rhizosphere soils. Out of 185 bacterial genera detected, Prevotellawas found to be the predominant genus in both soil and root metagenomes. However, the relative abundance of Prevotella remained two-fold higher in the soil metagenome (52.02%) than in the root metagenome (25.04%). The other predominant bacterial genera detected in the rice root metagenome were Bacillus(11.07%), Planctomyces (4.06%), Faecalibacterium (3.91%), Deinococcus(2.97%), Bacteroides (2.61%), and Chryseobacterium (2.30%). On the other hand, rhizosphere soil metagenome had Bacteroides (12.38%), Faecalibacterium(9.50%), Vibrio (5.94%), Roseomonas (3.40%), and Delftia(3.02).
Conclusions: Taken together, our results indicate that improvement of growth and yield of rice by P. fungorum strain BRRh-4 and Delftia sp. strain BTL-M2 is likely linked with modulation of diversity, structures, and signature of bacteriome in roots and rhizosphere soils. This study for the first time demonstrated that application of two plant growth promoting bacteria significantly improve growth, yield and increase the diversity of bacterial community in rice.
Exploring the Role of Green Animation Advertising Influencing Green Brand Love and Green Customer Citizenship Behavior
Authors: Zhang Yipin , Yang Yi-Chun 
Published: October 2022

Abstract
This study applied the theory of stimulus-organism-response to test the role of green animation advertising influencing green brand love and green customer citizenship behavior. We used questionnaire survey and the target are those who having the experience of seeing the Apple’s animation advertisement “Earth Day” in China. Finally there were 516 effective samples gathered for analysis. The result indicated that reliability, attractiveness and informativity are the antecedents of green brand love. Green brand love is positively related to green customer citizenship behavior. In addition, the result confirmed the significant mediating effect of green brand love between reliability, attractiveness, informativity and green customer citizenship behavior. The result can give us a deeper understanding the role of green animation advertising influencing consumers’ attitudes and behaviors.
Determination of Cooling Rate of Palm Kernel Oil as Jet Impingement Fluid
Authors: Nwankwo Azubuike , Onah Thomas , Nwankwojike Bertrand 
Published: October 2022

Abstract
Determination of cooling rate using Temperature-Time profile for Palm kernel oil as the impinging fluid was carried out on a modified design run-out table. A stationary rectangular hot steel plate, for the top surface single palm kernel oil jet controlled accelerated cooling process was studied experimentally using lumped thermal mass analysis. This was evaluated with pipe diameters of 10mm, 15mm, 30mm, 35mm, and 40mm, impingement gaps of 115mm, 125mm, 135mm, 145mm, and 155mm, and initial surface temperatures from 450oC – 410oC and at sub-cooled temperatures from 150oC–110oC. The analysis, reveals an increased cooling rate with a decrease in pipe diameter, and with a corresponding decrease in impingement gap. Diameter 10mm showed 1.9oC/sec and 1.6oC/sec for impingement gaps of 115 and 155mm respectively. Correspondingly, a diameter of 40mm showed the same pattern of 3.1oC/sec and 2.9oC/sec for impingement gaps of 115mm and 155mm respectively. This best temperature-time profile of Palm kernel oil impingement cooling rate infers that a higher cooling rate is achieved using bigger pipe diameter D and lower impingement gap H. In addition, it showed evidence of less Leidenfrost phenomenon; hence, palm kernel oil can seamlessly aid as a substitute for water for better microstructure steel grade to the designer’s desired application.
LSTM-Based COVID-19 Detection Method Using Coughing
Authors: Ankur Tanjemoon , Kundu Bipasha , Foysal Md. Kamrul H , Ortiz Bengie L. , Chong Jo Woon 
Published: October 2022

Abstract
COVID-19 has disrupted and irrevocably changed the everyday lives of people all around the world. This viral disease has created the necessity for a contact-free, non-invasive, and easy-to-use diagnostic device. In this paper, we propose a smartphone-based COVID-19 detection method that detects COVID-19 based on the coughing sound of patients. The proposed algorithm segments the coughing sounds collected from the raw audio signals acquired by a smartphone and then detects COVID-19 from the segmented coughing sounds. The proposed algorithm puts raw coughing sounds and the features extracted from the raw sounds into long-term short memory (LSTM), which is known to be effective in the regression and classification of periodic time series signals. Experimental results show that the proposed method applied to the Virufy dataset provides COVID-19 detection accuracy of 92% from the coughing segments. The proposed method has an advantage in pre-diagnosing COVID-19 since the proposed method only requires a smartphone
Index Terms—COVID-19, LSTM., machine learning.
Embedded Plant Disease Recognition using Deep PlantNet on FPGA-SoC
Authors: Saidani Taoufik , Ghodhbani Refka 
Published: October 2022

Abstract
IDuring the past decades, global technological advancement has allowed a general revolution in many sectors such as agriculture. Therefore, we are talking about Agriculture 4.0 that focuses on strategy and systems, leaving behind the tasks of the past and making way for a new generation of intelligent machines. In this context, crop process production management, in Agriculture 4.0, is a very challenging task for timely and accurate diagnosis of crop diseases. Within this range, plant diseases are the main problems that lead to a significant reduction in the quality and quantity of crop production. To solve this problem, early diagnosis of plant diseases using deep learning neu-ral network models, which are able to extract features automatically, obtain high-dimensional features from low-dimensional features, and achieve better learning outcomes, plays an important role in improving agricultural crops. In this paper, we take up the challenge of establishing a collaborative solution between image processing and phytopathology. This solution will reduce the human labor time required by the use of algorithms to facilitate the identification of plant diseases. Through this work, we built a deep transfer learning model to detect plant diseases from infected leaves images. Thus, given that its performance depends on data volume and quality they assimilate to learn and improve, the implementation of AI techniques on embedded systems can drastically reduce energy consumption and processing times while reducing the costs and risks associated with data transmission. Therefore, the second aim of this paper is to implement the proposed vision system on an embedded FPGA-SoC. After discussing and analyzing the research status of deep learning methods applied in these three areas, and the diffculties and challenges faced at present, prospective comments on the technology bottlenecks in this field
Mental health distress and associated factors among HIV- positive adolescents attending ART Clinics in Nigeria
Authors: Akadri Adebayo , Adepoju Akinmade , Bamidele Olabisi , Oluwole Temitayo , Sodeinde Kolawole , Abiodun Olumide 
Published: October 2022

Abstract

Mental health disorders may have a negative influence on health outcomes in patients with HIV, however, these conditions are under-diagnosed among adolescents living with HIV. This study aimed to assess the prevalence of mental health distress and associated factors among adolescents living with HIV attending Antiretroviral Therapy clinics in Nigeria. This was a cross-sectional study of 212 HIV-infected adolescents attending routine HIV clinic visits across five high patient-density clinics in southwestern Nigeria. Mental health distress was assessed using the General Health Questionnaire-12 (GHQ-12) and data was analyzed using IBM-SPSS Statistics for Windows version 22.0 (IBM Corp., Armonk, NY, USA). The prevalence of mental health distress among participants was 34.9%. On bivariate analysis, respondents who consumed alcohol sometimes had significantly higher mental health scores than those who never took alcohol (t-test 2.738; P = 0.007). There were no significant differences in the mean mental health scores of respondents with regards to social factors (smoking, experience of rape, disability status, mode of payment for health services, and number of living companions) and clinical factors (duration of diagnosis and treatment of HIV, the type of HAART regimen, and whether there had been a change in regimen). On multivariate analysis no social or clinical factor was found to be independently associated with mental health distress. The prevalence of mental health distress among adolescents living with HIV in southwestern Nigeria is high. Respondents who consumed alcohol had significantly higher mental health scores than those who never took alcohol. Future studies should explore psychosocial stressors that could be determinants of mental health distress among adolescents living with HIV in Nigeria.
Intriguing of pharmaceutical product development processes with the help of artificial intelligence and deep/machine learning or artificial neural network
Authors: Jariwala Naitik , Putta Chandra Lekha , Gatade Ketki , Umarji Manasi , Rahman Syed Nazrin Ruhina , Pawde Datta Maroti , S Amoolya , Kamble Atul Sayaji , Goswami Abhinab , Chakraborty Payel , Shunmugaperumal Tamilvanan 
Published: October 2022

Abstract

The objectives of current review are (1) to provide a historical overview of artificial intelligence and deep/machine learning (AI & D/ML) or Artificial Neural Network (ANN) (2) to update the financial dealings of pharma companies related to the application of AI & D/ML or ANN in drug discovery and development processes and (3) to showcase the application of AI & D/ML or ANN concept for optimization of analytical method conditions and formula of the dosage form. The optimization of analytical method conditions and formula of dosage form started with the employment of linear model such as design of experiment followed by non-linear model like AI & D/ML or ANN. Such type of linear and non-linear models blending in optimization processes nevertheless helped to suitably identify the influence of critical process parameters or critical material attributes on critical quality attributes. However, much of integration and understandable interpretation between the available data arised from clinical trials and the prevalence/progression of pandemic/endemic infections could potentially be ambitioned through the application of AI & D/ML or ANN.
Effect of low-magnitude, variable-frequency vibration therapy on pain threshold levels and mobility in adults with moderate knee osteoarthritis - clinical controlled trial
Authors: Pasterczyk-Szczurek Alicja , Golec Joanna , Golec Edward 
Published: October 2022

Abstract

Background Osteoarthritis (OA) is one of the most commonly recorded diseases in clinical practice. Vibration therapy has been suggested for the treatment of knee OA. The purpose of the study was to determine the impact of vibrations of variable frequency and low amplitude on pain perception and mobility in patients suffering from knee OA. Methods 32 participants were allocated into two groups – Group 1 (oscillatory cycloidal vibrotherapy-OCV) and Group 2 - control (sham therapy). The participants were diagnosed with moderate degenerative changes in the knee (grade II based on the Kellgren-Lawrence (KL) Grading Scale). Subjects received 15 sessions of vibration therapy and sham therapy respectively. Pain, range of motion, and functional disability were assessed through Visual Analog Scale (VAS), Laitinen questionnaire, goniometer (ROM – range of motion), timed up and go test (TUG) and Knee Injury and Osteoarthritis Outcome Score (KOOS). Measurements were taken at baseline, after the last session and four weeks after the last session (follow up). T-test and U-Mann Whitney test compare baseline characteristics. The Wilcoxon and ANOVA tests compared mean VAS, Laitinen, ROM, TUG and KOOS. The significant P-value was less than 0.05. Results After 3 weeks (15 sessions) of vibration therapy, reduced the sensation of pain and improved mobility was recorded. There was a more significant improvement in the vibration therapy group than the control group in pain alleviation on VAS scale (p < 0.001), on Laitinen scale (p < 0.001), knee ROMs flexions (p < 0.001) and TUG (p < 0.001) at the last session. KOOS score with pain indicator, symptoms, activities of daily living, function in sport and recreation and knee related quality of life improved more in the vibration therapy group than the control group. Effects maintained up to 4 weeks in vibration group. No adverse events were reported. Conclusions Our data demonstrated that the use of vibrations of variable frequency and low amplitude in patients with the knee OA is a safe and effective therapy. It is recommended to increase the number of treatments performed, primarily in patients with degeneration II° according to the KL classification. Trial registration: Prospectively registered on ANZCTR (ACTRN12619000832178). Registered on 11 June 2019.
Characterizing alcohol expectancies in the ABCD Study: associations with familial and psychosocial factors and relevant polygenic scores
Authors: Johnson Emma , Paul Sarah , Baranger David , Hatoum Alexander , Colbert Sarah , Lin Shuyu , Wolff Rachel , Gorelik Aaron , Hansen Isabella , Karcher Nicole , Bogdan Ryan , Agrawal Arpana 
Published: October 2022

Abstract
Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), familial (i.e., parent self-reported alcohol problems), and psychosocial (i.e., adverse childhood experiences, peer use and disapproval toward alcohol) factors and positive and negative AEs in alcohol-naïve children (max analytic N = 6,935). Mixed-effect regression models showed that parental education, importance of the child’s religious beliefs, adverse childhood experiences, peer disapproval of alcohol use, and polygenic liability for risk-taking were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.
Ohio Horticulture
Authors: Rollins H. A. , Hill R. G. 
Published: October 2022

Abstract
Ohio is a major horticultural state with well-educated growers willing to adopt new technologies. Because of geographic location, climate, soils, and population density, Ohio has wide diversity of horticultural industries. It ranks first in the U.S. in greenhouse vegetable production, third in floral crop production, second in the production of processing tomatoes, third in the production of cucumbers for pickles, eighth in apple production, third in nursery crop production, and fifth in food processing. Ohio ranks sixth in population in the U.S. with 57% of the total U.S. expenditures for food made within a 600-mile radius of Columbus. Because of Ohio’s high population density, many of the horticultural industries have capitalized upon their nearness to market. The development of garden centers, as well as retail fruit and vegetable markets with a recreational atmosphere, have become commonplace.
Photosynthesis and Photorespiration: Biochemistry, Physiology, and Ecological Implications
Authors: Ehleringer James R. 
Published: October 2022

Abstract
Over the past 15 years tremendous progress has been made in the study of photosynthetic pathways. It is now accepted that there are 3 distinct photo-synthetic pathways in higher plants: the Calvin-Benson pathway (C3 photosynthesis), the Hatch-Slack pathway (C4 photosynthesis), and Crassulacean Acid Metabolism (CAM photosynthesis). Much progress has been made in describing the biochemistry and physiology of these pathways, but less is understood of the.genetics, ecology, evolution, and regulation of these pathways. The purpose of this review will be to bring the reader up to date on the significant details of the biochemistry and physiology of the 3 photosynthetic pathways and to present an ecological/evolutionary view of the significance of differences in the pathways.
Slide Presentations
Authors: Fretz Thomas A. , Crean David E. , Sydnor T. Davis 
Published: October 2022

Abstract
Many individuals view the need to deliver an occasional paper at a national meeting as an occupational hazard of their profession. Others take the more optimistic view that the presentation of a paper not only presents an opportunity to assist others, but also offers an excellent means to accelerate one’s career and argue that as much attention should be given to the presentation (both oral and written) as was given to the actual research. There is more at stake than one’s own reputation; after all, in an oral presentation you are holding your colleagues captive.
Relationship between Midseason Resistance to Chilling Injury and Reducing Sugar Level in Grapefruit Peel1
Authors: Purvis A. C. , Kawada K. , Grierson W. 
Published: October 2022

Abstract
Resistance of ‘Marsh’ grapefruit (Citrus paradisi Macf.) to chilling injury (CI) at 4.4°C was highest during February–March, 1978 in Florida, Reducing sugar levels correlated better with resistance to CI than did total soluble carbohydrates or peel color. High levels of reducing sugars in grapefruit peel are considered to indicate greater resistance to CI and reducing sugars possibly play a significant role in promoting CI resistance of grapefruit peel at midseason (February–March in Florida).
Alfalfa Greening of ‘Anjou’ Pear1
Authors: Raese J. Thomas , Pierson C. F. , Richardson D. G. 
Published: October 2022

Abstract
Alfalfa greening, (green stain, green mottle, or superficial cork) is a physiological disorder of ‘Anjou’ pear fruit, Pyrus communis L. This disorder is characterized by green streaks, blotches, and specks on the skin occurring most frequently at the stem end; it may also extend to the calyx end where superficial cork is also frequently present. Mineral analysis of the peel and whole fruit of alfalfa greening-affected fruit indicated that the disorder was associated with higher nitrogen, potassium, and phosphorus content but lower calcium levels than normal fruit.
Growth, Flowering, and Fruit Set Responses of Sweet Cherries to Daminozide and Ethephon1
Authors: Facteau T. J. , Rowe K. E. 
Published: October 2022

Abstract
Factorial combinations of 50 and 100 ppm (2-chloroethyl)phosphonic acid (ethephon) and 1000, 2000 and 4000 ppm succinic acid-2,2-dimethyl hydrazide (daminozide) sprayed on young ‘Napoleon’ sweet cherry trees (Prunus avium L.) for 3 consecutive years showed no antagonistic or synergistic effects on either growth or flowering, Daminozide, at 2000 and 4000 ppm, reduced terminal growth but had no effect on flower initiation or flower density. Ethephon significantly reduced growth only the first year applied and appeared to increase flower initiation on wood previously untreated. Daminozide at 4000 ppm reduced fruit set on all combinations of year-wood and years but when applied at a concentration of 2000 ppm reduced set only 2 out of 5 possible year-wood, year combinations. Ethephon reduced set 3 out of the 5 year-wood combinations but the average response was not significant.