bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficacy of Platelet-Rich Plasma in Soft Tissue Foot and Ankle Pathology
Authors: Johnson Lindsey G. , Buck Erin H. , Anastasio Albert T. , Abar Bijan , Fletcher Amanda N. , Adams Samuel B.
Published: October 2022

» The preparation methodology for platelet-rich plasma (PRP) may have important clinical implications with varying effectiveness with leukocyte, platelet, and growth factor concentrations.

» There is high-quality evidence to support the superiority of PRP over corticosteroids in the case of chronic plantar fasciitis.

» There is moderate-quality to high-quality evidence for PRP's ability to increase tendon thickness with no capacity to decrease pain, increase function, or augment percutaneous tenotomy in Achilles tendinopathy.

» There is insufficient evidence to support PRP injections in the definitive treatment of Achilles tendon rupture. However, PRP may contribute to postoperative recovery after tendon rupture repair, but this requires further research.

» The biochemical theory supporting the clinical use of PRP must be reinforced with high-level evidence research. Based on the current literature, PRP may serve as a viable treatment method in chronic plantar fasciitis. Further high-quality, comparative studies with longer clinical follow-up are required to support recommendations for use of PRP in the treatment of Achilles tendon pathology.
Quantum Attraction of Kyai’s Leadership in Indonesian Pesantren
Authors: Zamroni Zamroni , Mundiri Akmal , Rodiyah Hanifatur
Published: October 2022

The inherent characteristics in a kyai become the primary source of the kyai's power in influencing his followers. One of kyai’s strong characteristics is the Quantum attraction. The leadership of the kyai with a quantum attraction approach can be referred as kyai’s simple action which can be very impactful for his followers. One of these approaches is carried out by kyai at the pesantren Nurul Jadid Paiton Probolinggo. With this approach, the figure of the kyai raises several forms of Quantum attraction behavior that can be used as role models by students as followers. The aim of this research is to understand the primary characteristics of kyai based on quantum attraction. The researcher in this study used a qualitative approach to the type of phenomenology. For data collection, researchers used observation, in-depth interviews, and documentation. The data analysis methods used by the researchers are data reduction, data presentation, and verification. This study indicates that the main characteristics of the leadership behavior of clerics based on quantum attraction are sincere, tawadhu, zuhud, pious, and waro' behaviors and attitudes.
The 4-D Model on the Development of English Learning Materials for Islamic Education Learners
Authors: Syam Andi Tenrisanna , Furwana Dewi
Published: October 2022

English for Islamic Studies is taught as the general subject in the State Islamic Institute of Palopo. Therefore, the researchers aimed to develop valid English materials for learners of the Islamic education study program. The researchers applied the 4-D model by Thiagarajan et al. It consists of four stages namely, defining, designing, developing and disseminating. There were 68 learners who answered a questionnaire for needing analysis, 23 learners involved in the field try-out, and three lecturers assessed and reviewed the product. Questionnaires and field notes were used as the research instruments. The obtained data were analyzed qualitatively and quantitatively. The researchers created English materials in the form of a textbook in which it consists of ten units. The topics are 5 pillars of Islam, 6 pillars of faith, daily life of a Muslim, Islamic figure, ulul azmi, Amal Ma’ruf Nahi Munkar, halal and haram, Islamic education in Indonesia, Muslim generation, and religious moderation. The data gathered during the trial period revealed that the textbook was suitable to learning process, met the learners’ needs, and it was well-received by the learners. They were engaged, motivated, and excited to complete the activities outlined in the textbook. Therefore, the textbook can be used by lecturers and learners in Indonesia as a learning medium
In-Situ Pore Plugging Using Nanosilica-Based Fluid System for Gas Shutoff to Maximize Oil Production
Authors: Karadkar Prasad , Almohsin Ayman , Bataweel Mohammed , Huang Jin
Published: October 2022

A nanosilica (NS)-based fluid system was evaluated for forming in-situ glass-like material inside the matrix for permanent gas shutoff. The innovative aspect of this technique is how it turns NS into a substance that resembles glass-like material to block pores. This method involves two steps: First is pumping low-viscosity aqueous NS mixture into the formation and allowing it to gel up. Second is allowing gas production to dehydrate the NS gel to form in-situ glass-like material inside the formation. In this paper, an NS-based fluid system was assessed for pumping strategy and performance evaluation. An NS-based fluid system consists of a mixture of colloidal silica and activators. It possesses low viscosity, which assists in deeper penetration during placement. With time and temperature, it can lead to in-situ gelation to form a rigid gel to block the pore space. The NS-based fluid system was optimized using gelation tests and coreflooding tests to evaluate its performance under high-pressure, high-temperature conditions. The formation of in-situ glass-like material inside pores was analyzed using a scanning electron microscope (SEM).

The gelation time can be tailored by varying the activator type and concentration to match the field operation requirements. Kinetics of colloidal silica gelation at elevated temperatures showed faster viscosity buildup as compared to a lower temperature. Before gelation, the viscosity for the NS-based fluid system was recorded as less than 5 cp at a 10 s–1 shear rate, whereas after gelation, the viscosity was increased to more than 500 cp at a 10 s–1 shear rate. Using coreflooding tests, N2 gas permeability of the Berea sandstone core was completely plugged after pumping the five times pore volume (PV) of NS-based fluid system at 200°F. During NS-based fluid system injection through the core, differential pressure was increased to only 10 psi showing better injectivity than viscous polymeric gel. The SEM images showed the presence of glass-like material filling the porosity, which showed an in-situ generation of glass-like material inside pores. After the successful placement of NS-based fluid system in one of the gas wells having sandstone formation, gas production was reduced by 65%. Polymeric fluids systems are viscous in nature, and difficult to pump deeper inside the formation, also with time, polymers tend to degrade making ineffective shutoff treatment over a period. The NS-based fluid system presented in this paper is robust, thermally stable, environmentally friendly, and can serve as an alternative to currently used conformance polymers for gas shutoff applications.
Characteristic of Spiral Displacement Process in Primary Cementing of Vertical Well Washout
Authors: Zhang Zhuangzhuang , Huang Zhongwei , Zhou Yisu , Sheng Mao , Wu Bangchen
Published: October 2022

Cementation is an essential process in well drilling, which provides security and isolation for following operations and for wells’ long-life production. Irregularity of the wellbore makes cementing more complex, with displaced fluid becoming easily trapped and leading to poor isolation. Here, we investigated spiral displacement of washout, which is one kind of irregularity, where the spiral flow is induced by a cyclone centralizer. The features of spiral flow with sudden hole enlargement, differences between spiral and nonspiral displacement processes, and influence of some parameters were investigated with a simulation method. First, the induced radial flow is around zero (10−1) of the main flow, which is enough for displacing radially, and this radial flow results in radial migration and dispersion of flow field. Cooperating with reversing flow after hitting the outer wall, radial migration leads to flow field mixing and spiral velocity dissipating quickly along the axial direction. Moreover, spiral flow is beneficial for cementing of washout, and the displacing pattern with spiral flow is different compared with axis flow. In spiral displacement, cement slurry accumulates at the bottom and outer side of the washout, while accumulation happens at the top and inner side of the washout for nonspiral flow. The accumulation pattern in spiral displacement prompts movement of residual fluid, but topside accumulation hinders removal of that. Of these parameters, density difference can depress the elongation of the interface and has a positive effect on displacement. An increase in washout length and diameter has a favorable influence, as such enlargement allows for further development of displacing flow and delays the breakthrough. An increase in displacing velocity and rotation angle has a nonmonotonic effect in that with the displacing velocity increasing, the displacement first worsens, then improves, but increasing the rotation angle has the opposite effect.
Effect of Amla Fruit (Phyllanthus emblica) Extract in Flow Assurance of Indian Waxy Crude Oil
Authors: Pal Biswadeep , Naiya Tarun Kumar , Sarkhel Gautam
Published: October 2022

Wax present in crude oil starts to precipitate during flow through the pipeline below the wax appearance temperature (WAT). The phenomenon creates problems during transportation such as choking in pipeline, pumping pressure, etc. Pour-point depressants (PPDs), wax inhibitors, and other additives are used to remediate wax deposition problems. This paper focuses on the application of a natural extract from Amla fruit (Phyllanthus emblica) in Indian waxy crude oil (WCO) to improve flow behavior and wax deposition rate with varying properties such as temperature, time, and dosage. The result has been compared with commercial additives procured from Deva Drill Tech, India. The extraction procedure was conducted with Amla fruit skin (P. emblica) and with ethanol as a solvent. After the addition of 800-ppm Amla extract, the pour point was reduced by 9°C, and the viscosity was decreased by up to 98% at 50°C. This is due to the interaction and bond formation between synthesized PPD and wax molecules. As a result, less pumping power is required for efficient flow. The thixotropic area was reduced from 164 750 to 134 852 Pa·s after the addition of 800 ppm of synthesized additives. Viscoelastic behavior improved significantly after the addition of Amla extract and commercial additives. This will diminish considerably the energy required to restart the flow of WCO. Morphological changes confirm that more smaller and diffused wax particles were created from large wax agglomerates. The derived PPD is much more effective compared with a commercial one, is more environmentally friendly, and no special attention is required for the pretreatment of PPD-treated crude oil, which ultimately will reduce the project cost.
The liver and muscle secreted Hfe2-protein maintains blood brain barrier integrity
Authors: Wang Xue Fan , Vigouroux Robin , Syonov Michal , Baglaenko Yuriy , Nikolakopoulou Angeliki , Ringuette Dene , Rus Horea , DiStefano Peter , Dufour Suzie , Shabanzahdeh Alireza P. , Lee Seunggi , Mueller Bernhard , Charish Jason , Harada Hidekiyo , Fish Jason , Wither Joan , Wälchli Thomas , Cloutier Jean-Francois , Zlokovic Berislav , Carlen Peter , Monnier Philippe
Published: October 2022

Liver failure causes blood-brain-barrier (BBB) breakdown leading to central nervous system damage, however the mechanisms whereby the liver influences BBB-integrity remain elusive. One possibility is that the liver secretes an as-yet to be identified molecule(s) that circulate in the serum to directly promote BBB integrity. We developed light-sheet imaging for three-dimensional study of BBB function. We show that liver- or muscle-specific knockout of Hfe2 induces BBB breakdown, leading to accumulation of toxic-blood-derived fibrinogen in the brain, lower cortical neuron numbers, and behavioral deficits. In healthy animals, soluble Hfe2 competes with its homologue RGMa for binding to Neogenin, thereby blocking RGMa-induced downregulation of PDGF-B and Claudin-5 in endothelial cells and the ensuing BBB disruption. Hfe2 administration in an animal model of multiple sclerosis prevented paralysis and immune cell infiltration by inhibiting RGMa-mediated BBB alteration. This study has implications for the pathogenesis and potential treatment of diseases associated with BBB dysfunction such as multiple sclerosis.
Hematological toxicity of amphotericin B deoxycholate-based induction therapy in patients with HIV-associated talaromycosis
Authors: Zhou Yihong , LU Tao , Li Yan , Qin Yuanyuan , Lu Yanqiu , Tian Qun , Lan Ke , Zhou Guoqiang , Qin Yingmei , Li Shunmei , Harypursat Vijay , lin shide , Chen Yaokai
Published: October 2022

Background: This study's objective was to investigate the predictors for severe anemia, severe leukopenia, and severe thrombocytopenia when amphotericin B deoxycholate-based induction therapy is used in HIV patients with talaromycosis.
Methods: A total of 170 HIV patients with talaromycosis were enrolled from January 1st, 2019 to September 30th, 2020.
Results: Approximately 42.9%, 20.6%, and 10.6% of the enrolled patients developed severe anemia, severe leukopenia and severe thrombocytopenia, respectively. Baseline lower hemoglobin levels, higher serum creatinine levels, higher AST/ALT ratios, lower sodium levels, and higher administered doses of amphotericin B were observed to be independent risk factors associated with the development of severe anemia. Co-infection with tuberculosis and lower platelet levels at baseline were shown to be independent risk factors associated with the development of severe leukopenia. A lower platelet level at baseline was the independent risk factor found to be associated with the development of severe thrombocytopenia.
Conclusion: The preceding findings reveal risk factors for severe anemia, severe leukopenia, and severe thrombocytopenia, which will favor prevention and timely treatment of hematological toxicity, improvement of patient’s outcomes, shorter hospital stays, and a reduction of the requirement for blood transfusion.
Unintended effects of transgenic rice on grain yield and quality traits determined by quantitative proteomics
Authors: Sun Yue , Chen Huizhen , Chen Zhongkai , Wang Chunlei , Li Bai , Lin Xiaoli , Cai Yicong , Zhou Dahu , Ouyang Linjuan , Zhu Changlan , Xu Jianlong , Peng Xiaosong , He Haohua
Published: October 2022

Omics techniques provide effective detection tools for assessing the potential impact of plant composition at the DNA, RNA, and protein levels. Among these, protein is the executor of gene function and the embodiment of biological traits, so that organisms show various genetic characteristics. Proteomics can be used to assess whether genetic engineering will lead to changes in plant traits beyond those introduced by conventional plant breeding. Here, we compare the extent of the proteome occurring in the leaves of three transgenic rice restorer lines expressingCRY1CandCRY2Agenes developed by genetic engineering and their corresponding recurrent parents developed by conventional breeding.CRY1CandCRY2Agenes were inserted into chromosomes 11 and 12, respectively, which significantly improved the resistance of restorer lines toChilo suppressalis. Although differentially expressed proteins could be distinguished between transgenic rice and its recurrent parents, these differences were not sufficient to cause unintended effects on grain yield and quality traits of transgenic rice. In contrast, differences in phenotypic traits are more because of differences in genetic background. Functional cluster analysis showed that the differentially expressed proteins caused by the insertion of exogenous genes mainly involved signal transduction and secondary metabolites(serine, tryptophan) biosynthesis, transport and catabolism pathways. The study successfully used 4D label-free quantitative proteomics technology to assess the unexpected changes in new rice varieties, and the results showed that transgenic rice did not cause unintended effects.
Model Transformation and Code Generation Using a Secure Business Process Model
Authors: Mythily M , Xavier Arul , David Beaulah , Sagayam K. Martin , Elngar Ahmed A.
Published: October 2022

The authors have requested that this preprint be removed from Research Square.
Evaluation of SeptiCyte RAPID, a host immune response assay, for triage of COVID-19 patients requiring hospitalization and potential ICU care
Authors: Montero Maria Milagro , Hardy-Werbin Max , Gallardo Soledad Gonzalez , Torres Erica , Rueda Rebeca , Hannet Irene , Kirk James T , Yager Thomas D , Navalkar Krupa , Arenas Maria del Mar , Arietta-Aldea Itziar , Castañeda Silvia , Gómez-Junyent Joan , Gómez-Zorrilla Silvia , Guerri-Fernández Roberto , Sanchez-Martinez Francisca , López-Montesinos Immaculada , Pelegrín Ivan , Sendra Elena , Sorlí Luisa , Villar-García Judith , Paricio Beatriz Bellosillo , Horcajada Juan Pablo
Published: October 2022

Rationale: Tools for the evaluation of COVID-19 severity would help clinicians with triage decisions, especially the decision whether to admit to ICU. Objective: Evaluation of SeptiCyte RAPID, a host immune response assay (Immunexpress, Seattle USA) as a triaging tool for COVID-19 patients requiring hospitalization and potentially ICU care.
Methods: SeptiCyte RAPID employs a host gene expression signature consisting of the ratio of expression levels of two immune related mRNAs, PLA2G7 and PLAC8, measured from whole blood samples. Blood samples from 146 adult SARS-CoV-2 (+) patients were collected within 48 hours of hospital admission in PAXgene blood RNA tubes at Hospital del Mar, Barcelona, Spain, between July 28th - December 1st, 2020. Data on demographics, vital signs, clinical chemistry parameters, radiology, interventions, and SeptiCyte RAPID were collected and analyzed with bioinformatics methods. The performance of SeptiCyte RAPID for COVID-19 severity assessment and ICU admission was evaluated, relative to the comparator of retrospective clinical assessment by the Hospital del Mar clinical care team.
Measurements and Main Results: SeptiCyte RAPID was able to stratify COVID-19 cases according to clinical severity: critical vs. mild (AUC=0.92, p<0.0001), critical vs. moderate (AUC=0.76, p=0.002), severe vs. mild (AUC=0.85, p=0.0003), severe vs. moderate (AUC=0.63, p=0.05). This discrimination was significantly better (by AUC or p-value) than could be achieved by CRP, lactate, creatine, IL-6, or D-dimer. Some of the critical or severe cases had “early” blood draws (before ICU admission; n=33). For these cases, when compared to moderate and mild cases not in ICU (n=37), SeptiCyte RAPID had AUC=0.78 (p=0.00012).
Conclusions: SeptiCyte RAPID was able to stratify COVID-19 cases according to clinical severity as defined by the WHO COVID-19 Clinical Management Living Guidance of January 25th, 2021. Measurements taken early (before a patient is considered for ICU admission) suggest that high SeptiScores, measured early, could aid in predicting the need for later ICU admission.
Performance Evaluation of Dynamic Load Balancing Algorithms in Cloud Computation
Authors: P RAJAGOPAL T K
Published: October 2022

Cloud environment systems are distributing the workload and workload equally balance the all incoming and outgoing requests between all the processing computer system in cloud network environment is the significant of the biggest tasks cutting-edge nowadays cloud environment. In this point several of the dynamic cloud load balancing procedures and load balancing methodologies has anticipated on behalf of load dispersed and cloud environment systems. Moreover the load advisor strategy for allotting the assigned job capacities among dissimilar data processing centers in a cloud computing is one among the most fundamental factors for improving the cloud computing node performance. In this paper present an investigative and evaluation for the combinations of virtual machine dynamic load balancing algorithms and different load advisor policies. The cloud computing load evaluate these methodologies by simulating on CloudAnalyst simulator and the final consequences reports are accessible based on different cloud computing environment parameters. The outcomes of this load balancing research identify the best load balancing different possible arrangements.
Local climate change perceptions and adaptation strategies across the Central and Eastern Himalayas - a review
Authors: Kuruppath Sanjana Vadakke , Tamma Krishnapriya
Published: October 2022

The Himalayas and the communities that depend on them are highly vulnerable to climate change. Understanding perceptions of climate change among these communities, and the adaptations they undertake to weather climate shocks, can provide vital guidance in designing locally relevant policies. This paper reviews 23 studies that investigated perceptions of climate change in the Central and Eastern Himalayas. From our meta-analysis, we find that respondents across the region report broadly matching perceptions of increasing temperature, decreasing snowfall, and increasingly insufficient and erratic rainfall, along with other environmental changes such as in plant phenology. Studies that compared perceptions to instrument-based data also found a high level of match between the two. Though the perceptions were influenced by several factors such as gender, age and education, they are still valuable as indicators of communities’ most pressing needs. The adaptations people have undertaken are similar across the region and are often short-term and reactive in nature. They include switching to high-yield crop varieties, increased use of chemical fertilisers and pesticides, intensification of irrigation and rainwater harvesting, and livelihood diversification. However, adaptive capacity is dependent on socioeconomic factors, leaving the disadvantaged sections of society more vulnerable to climate change. Local perceptions of climate change are necessary to design inclusive mitigation policies and are a valuable supplement to long-term climate data.
Efficiency of ultrasonic pretreatment on improving biodegradability of tomato wastes: A hypothetical analysis of waste conversion to biohydrogen
Authors: Mahmoodi-Eshkaftaki Mahmood , Houshyar Ehsan , Mahmoudi Mahdi
Published: October 2022

The present study was undertaken to determine the effects of ultrasonic factors (acoustic power and sonication time) and substrate mixture (tomato waste and cow manure) on the degradability of lignocellulosic structures, removal of pollutants and solids of feedstock, and improving bio-H2 production. Integrating multivariate regression modeling and structural equation modeling could achieved this goal. The results showed that the substrates had significant effect on improving the feedstock characteristics at the beginning of fermentation, in which tomato waste required stronger pretreatment. Further, the acoustic power showed more significant effect than sonication time. Analyses showed that the most effective characteristics for bio-H2 fermentation were BOD removal, COD removal and cellulose content removal, in which removal of BOD and COD had the highest effect from the ultrasonic pretreatment factors, and cellulose content removal had the highest effect from tomato waste amount in the mixture. However, to optimize bio-H2 production, substrate mixtures needed ultrasonically pretreatment, in which tomato waste required a stronger pretreatment. The ultrasonic power of 0.1 W/mL at sonication time of 15 min were sufficient to optimize bio-H2, and no need to consume extra energy. In the suitable conditions of pretreatment and substrate mixture, removal of lignin, cellulose and hemicellulose contents increased 57.67%, 24.38% and 38.7% higher than those of a control system, which resulted in an increase of 6% bio-H2 production.
Effect of psychological factors on COVID-19 vaccination side-effects : A survey study among the Korean population
Authors: Kim Eun , Kim Hee Jin , Han Doug Hyun
Published: October 2022

Introduction: Side effects from the COVID-19 vaccine, such as pain, chills, headache, nausea, and fatigue, have caused vaccine hesitancy. Research on the effects of psychological factors on COVID-19 vaccine side effects is insufficient. This study aims to investigate the effects of psychological factors on COVID-19 vaccination side effects.
Materials and Methods: A total of 227 individuals registered for the first dose of the COVID-19 vaccine were recruited for this study. Participants were asked to complete a pre-vaccination questionnaire, including socio-demographic factors, the 5C antecedents of vaccination, and psychological factors (Patient Health Questionnaire: PHQ-9, Generalized Anxiety Disorder-7: GAD-7, Somatic symptom amplification scale: SSAS, and Illness Attitude Scale: IAS). After the first vaccination, participants were asked to complete an online questionnaire regarding vaccine side effects at 20 minutes, three days, and seven days after vaccination. For statistical analysis, an independent t-test, chi-square test, and hierarchical logistic regression analysis were used. In a hierarchical regression analysis, a discrete set of hierarchical variables with vaccine side effects as the dependent variable was added: demographics for Model 1, 5C antecedents of vaccination for Model 2, and psychological factors for Model 3.
Results: Our results indicated that many factors predicted the occurrence of physical side-effects at 20 minutes, three days, and seven days after vaccination. The risk factors for side effects 20 minutes after vaccination were young age, high PHQ, and SSAS scores. Risk factors for side effects three days after vaccination were young age, high constraints, and calculation, and the risk factor seven days after vaccination was a high IAS score.
Conclusion: Our study confirmed that there is a significant relationship between psychological factors and COVID-19 vaccine side-effects occurring 20 minutes, three days, and seven days after vaccination. Depression and somatization were risk factors 20 minutes post-vaccination, constraints and calculation were risk factors three days post-vaccination, and illness anxiety was a risk factor seven days post-vaccination. To reduce vaccine side effects of the general population, screening processes must be considered to provide psychological education to those with these risk factors.
Kisspeptin modulation of nonapeptide and cytochrome P450 aromatase mRNA expression in the brain and ovary of the catfish Heteropneustes fossilis: in vivo and in vitro studies
Authors: Chaube Radha , Sharma Sandhya , Joy Keerikkattil
Published: October 2022

In the catfish Heteropneustes fossilis, Kisspeptins (Kiss) and nonapeptide (NP) hormones (vasotocin, Vt; isotocin, Itb; the Val8 isotocin paralog, Ita) stimulate the brain-pituitary-gonadal (BPG) axis. The present study investigated the functional interactions between these two systems, and that between Kiss and P450 aromatase (P450 arom) in the catfish brain and ovary. Human Kiss1 and catfish Kiss2 produced dosage-dependent effects on vt, itb and ita expression in vivo: 1 ng/g body weight (BW) and 2 ng/g BW inhibited, and 3 ng/g BW stimulated the expressions. The Kiss peptides (5, 10 and 15 nM) for 24 h produced a concentration - dependent stimulation of the gene expression in vitro. Kiss2 was more effective than Kiss1, both in vivo and in vitro. The Kiss1 administration stimulated ovarian vt, itb and ita expression at 2 and 3 ng/g BW and the Kiss2 treatment inhibited the expression at 1 ng/g BW and stimulated it at 2 and 3 ng/g BW. The Kiss receptor antagonist peptide 234 inhibited the NP mRNA expressions in a dosage/concentration-dependent manner. The Kiss peptide administration stimulated brain-specific cyp19a1b and ovary-specific cyp19a1a P450 arom expression dosage-dependently, both in vivo and in vitro. Peptide 234 inhibited the enzyme gene expression significantly, both in vivo and in vitro. The results show that Kiss peptides modulate functional targets like NP and E2 in the brain and ovary to influence reproductive functions.
Supervised Machine Learning Applications for Detecting Russian Federation Sponsored Social Media Misinformation
Authors: Wiese Thomas , Wiese Jessica
Published: October 2022

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

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

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

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

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

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

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

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

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

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

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

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.