bluuebunny/crossref_metadata_2025_split huggingface dataset:
MLR approaches for the estimation of the grain yield of rainfed wheat and barley across Iran
Authors: Sharafi Saeed , Nahvinia Mohammad Javad , Ghaleni Mehdi Mohammadi , Mokari Esmaiil 
Published: December 2022

Abstract
Climate variability has a crucial role in rainfed farming, especially in dry climates and evaluation of these fluctuations under different climates provides a framework for further studies. Iran was classified into very dry, dry, semi-dry, and humid climates by using the FAO56 index. This study investigated the equations obtained from multiple linear regression (MLR) and the gap between observed and predicted yield of rainfed wheat and barley yield in different climates across Iran. Climatic data including; rainfall (R), mean temperature (Tmean), solar radiation (S), and wind speed (U2) collected from 44 synoptic stations during 1981–2020 and were used as the inputs of a MLR models to simulate rainfed wheat and barley yield. Global Performance Indicator (GPI) was utilized to evaluate the performances of the MLR models, which is a 5- statistical criteria index. The results showed that the lower statistical error criteria values of MLR models confirmed their better performance than MLR models in dry climates (R2 = 0.84 for wheat and R2 = 0.9 for barley) than in humid climates (R2 = 0.69 for wheat and R2 = 0.66 for barley). Also, the MLR models estimated the yield of rainfed wheat (GPI = 1559.3) better than rainfed barely (GPI = 1536) in all climates.
SGLT2 inhibitor versus carbohydrate-restricted isocaloric diet: Reprogramming substrate oxidation in type 2 diabetes
Authors: Igarashi Hiroyuki , UCHINO HIROSHI , Kanaguchi Momoko , Hisanaga Kaori , Sato Genki , Yoshikawa Fukumi , Furuta Masashi , Washizawa Naohiro , Usui Shuki , Miyagi Masahiko , Hirose Takahisa 
Published: December 2022

Abstract
Objective: This study aimed to compare the effect of carbohydrate availability with reduced oral intake (carbohydrate-restricted isocaloric diet: CRIC diet) or lost in urine, as urinary glucosuria on sodium/glucose cotransporter-2 inhibitor (SGLT2i) treatment, focus on the insulin requirement and the macronutrient oxidation within insulin treated type 2 diabetes.
Methods: This randomized 3-arm open-label prospective study. Subjects treated with titrated basal-bolus insulin regimen subsequent to three diet regimens, control diet (CON), administration of canagliflozin 100 mg/day to CON (SGLT2i), or CRIC diet, with a week admission to the endocrinology ward followed by 12 weeks outpatients’ management. The main outcome measures including the total insulin dose (TID) required to achieve euglycemia, fasting and postprandial energy expenditure (EE) and respiratory quotient (RQ) at 1-week and 12-week.
Results: We enrolled 23 patients with type 2 diabetes (male/female: 14/9, age: 53.6±14.2 years, body mass index: 26.9±4.8 kg/m2, HbA1c: 12.5±1.6%). The TID was similar with CON and SGLT2i at both 1 and 12-weeks. Although comparable net carbohydrate availability in SGLT2i and CRIC groups, the TID was significantly higher in the CRIC (p=0.02) compare to the SGLT2i at both 1 and 12-weeks. Fasting EE was similar in all groups, postprandial EE was significantly elevated in the SGLT2i and CRIC groups compared to the CON group (p=0.03 and 0.04). Compare to the CON, lower basal fasting RQ (p=0.049) and decreased delta-RQ (postprandial RQ/fasting RQ) indicated continuous lipid substrate utilization in the SGLT2i (p=0.04) and CRIC (p=0.03) groups.
Conclusion: The CRIC diet resulted in a similar fasting and postprandial EE and substrate oxidation compared to the SGLT2i. The increased insulin requirement in the CRIC diet indicates that a relatively highly lipid and protein consumption, compared to the SGLT2i and CON, may influence insulin requirement.
Drosophila Free-flight Odour Tracking is Altered in a Sex-specific Manner by Preimaginal Sensory Exposure
Authors: Vincent TOLASSY , CAZALÉ-DEBAT Laurie , Benjamin HOUOT , Rémy REYNAUD , HEYDEL Jean-Marie , FERVEUR Jean-François , Claude EVERAERTS 
Published: December 2022

Abstract
In insects such as Drosophila melanogaster, flight guidance is based upon converging sensory information provided by several modalities including chemoperception. Drosophila flies are particularly attracted by complex odours combining volatile molecules from yeast, pheromones and microbe-metabolized food. Based on a recent study revealing that adult male courtship behaviour can be affected by early preimaginal exposure to maternally-transmitted egg factors, we wondered whether a similar exposure could affect free-flight odour tracking in flies of both sexes? Our main experiment consisted to test, in a wind tunnel, flies differently conditioned during preimaginal development. Each fly was presented to a dual choice of food labelled by groups of D. melanogaster or D. simulans flies of each sex. The combined effect of food with the cis-vaccenyl acetate pheromone (cVA), involved in aggregation behaviour, was also measured. In parallel, using the head-space method, we determined the "odorant" identity of the different labelled food tested. We also measured the antennal electrophysiological response to cVA in females and males resulting of the different preimaginal conditioning procedures. Our data indicate that flies differently modulated their flight response (take off, flight duration, food landing and preference), according to sex, conditioning and food choice. Our head-space analysis revealed that many food-derived volatile molecules diverged between sexes and species. Antennal responses to cVA showed a clear sex specific variation for conditioned flies, but not for control flies. In summary, our study indicates that preimaginal conditioning can affect Drosophila free flight behaviour in a sex specific manner.
Comparison between Radio Loud and Radio Quietfast CMEs: A reason for Radio Quietness
Authors: M Syed Ibrahim , E Ebenezer , A Shanmugaraju 
Published: December 2022

Abstract
It is well known that fast CMEs are mostly associated with MHDshocks in the solar corona, leading to the formation of type II radio bursts.However, the absence of type II radio burst is not uncommon. Herein, we aim toanalyze the differences between the radio loud (RL) and radio quiet (RQ) fastCoronal Mass Ejections (CMEs) (speed ≥ 900 km s−1) during solar cycle 24(2008-2021). Among the selected 309 CMEs, we identified the associated flaresfor 143 events using running difference images from (i) Solar Dynamic Observatory/Atmospheric Imaging Assembly (SDO/AIA) observations and (ii) LargeAngle Spectrometric Coronagraph (LASCO). Among these 143 events, RQ andRL groups have 70 and 73 events, respectively. CALLISTO and Wind/WAVESobservations are used to identify these RL and RQ sets. We analyzed the possibilitiesof streamer-CME and CME-CME interaction. In this study, we reportthe important differences between RL and RQ CMEs and the underlying reasonsfor the radio quietness of fast CMEs. In the LASCO field of view, the majorityof RL CMEs (almost 90%) interacted with streamers and/or pre-CMEs, whereasonly 25% of RQ CMEs did the same, and there was no pre-CME interaction.The observational evidence led to the conclusion that substantial density perturbation/interaction increases the probability of production of type II radioemissions by shock of RL CMEs.
Fighting fire with food: Assessing the flammability of crop plant species for building fire resilient agroforestry systems
Authors: Pacheco Ashley Stephanie , Goodman Hannah Danaë , Hankenson Lexi , Fisk Joseph Julian , Ortiz Alejandro , Marinace Henry Maxwell , Bischoff Emily Anne , Holman Victoria Frances , Love Sophie Marley , Apgaua Deborah Mattos Guimaraes , Tng David Yue Phin 
Published: December 2022

Abstract
Climate change has increased drought and wildfire frequency in recent decades and poses a significant risk to agricultural lands and private property. Given the negative impact of fires on the livelihoods of farmers, it is crucial to assess the flammability of crop species and find ways of mitigating risk of fire in agricultural lands. We quantify the flammability of 66 tropical species of fiber, food, and spice crops by assessing maximum temperature, burn time, and burned biomass and assessed key leaf traits from a subset of these species to look at the interaction of leaf area (LA) and leaf dry matter content (LDMC) with life form type. We found groundcover, shrubs, and vines to be generally less flammable than canopy and subcanopy plants. We also found LDMC to be a consistent and significant predictor of all three flammability measures regardless of plant life form. Our results equips farmers and policy makers with information for constructing more fire resilient agricultural landscapes and pursuing nature-based solutions to mitigate fire risk, such as by planting green firebreaks with fire retardant species.
Frobenius kernels of algebraic supergroups and Steinberg's tensor product theorem
Authors: Shibata Taiki 
Published: December 2022

Abstract
For a quasireductive supergroup G defined over a field,we study structure and representation of Frobenius kernels Gr of G and we give a necessary and sufficient condition for Gr to be unimodular in terms of the root system of G. We also establish Steinberg's tensor product theorem for G under some natural assumptions.
Hydrothermal Characteristics of the Mienhua Submarine Volcano in the Southernmost Okinawa Trough
Authors: Chen Tzu-Ting , Hsu Ho-Han , Su Chih-Chieh , Liu Char-Shine , Wang Yunshuen , Chen Song-Chuen , Chang Emmy TY , Hsu Feng-Hsin , Lin Liang-Fu , Chang Jih-Hsin , Wu Jyun-Nai , Hsu Ta-Wei , Wu Shein-Fu 
Published: December 2022

Abstract
The Mienhua submarine volcano (MHV) is located in the southernmost Okinawa Trough and exhibits vigorous hydrothermal activity. This paper presents a detailed volcanic morphological analysis of the MHV, which has not been fully explored or discussed in terms of its hydrothermal characteristics and their relationship to hydrothermal activities. The MHV is situated at a water depth of 1,370 m and has a width of 2.2 km and relief height of 220 m. The MHV is an asymmetric volcano composed of two summits in the center, rugged mounds in the west, and flat regions in the east. Two hydrothermal vents, Devil Chimney and Witch Mound were discovered through acoustic flares and a high backscatter intensity in the eastern flank. Based on three repeated mappings, no noticeable depth changes were observed at the acoustic flare zone compared to the area of the rugged mounds and two summits. In addition, a sediment core collected in a high backscatter intensity patch displayed low magnetic susceptibility, which could be influenced by the high methane levels in hydrothermal fluid that flows through sediments. An acoustically transparent zone adjoining active flares was observed in the sub-bottom profiles in the southeastern flank of the MHV, suggesting that the morphological and volcanic features are mainly concentrated in the southeast. Based on the seabed characteristics and the distribution of sills and reflectors in the multichannel seismic profiles, we inferred that the MHV is an off-axis vent that has experienced at least two stages of morphological development.
Measurements of the dissociation heats of tetrabutylammonium acetate and tetrabutylphosphonium hydroxide ionic semiclathrate hydrates
Authors: Iwai Taro , Takamura Shuhei , Hotta Atsushi , Ohmura Ryo 
Published: December 2022

Abstract

Ionic semiclathrate hydrates mainly consist of water typically together with tetrabutylammonium and tetrabutylphosphonium salts. Since ionic semiclathrate hydrates have the large dissociation heat under ambient pressure and temperature conditions, various ionic semiclathrate hydrates have been studied as safety and eco-friendly phase change materials. In this study, tetrabutylammonium acetate hydrates and tetrabutylammonium hydroxide hydrates were proposed as thermal energy storage media for air conditioning and cooling lithium-ion batteries. The dissociation heat, which was a significant thermophysical property to design thermal energy storage systems, were measured at various mass fractions. The largest dissociation heats of tetrabutylammonium acetate hydrates and tetrabutylammonium hydroxide hydrates were 212.9 ± 0.9 kJ/kg and 200.4 ± 2.2 kJ/kg. As a result of the comparison of the dissociation heats of tetrabutylammonium acetate hydrates and tetrabutylammonium hydroxide hydrates with those of other ionic semiclathrate hydrates, it was found that tetrabutylammonium acetate hydrates and tetrabutylammonium hydroxide hydrates had the promising thermophysical properties as thermal energy storage media for air conditioning and cooling lithium-ion batteries respectively.
A Real-time and Efficient Surface Defect Detection Method Based on YOLOv4
Authors: Liu Jiansheng , Cui Guolong , Xiao Chengdi 
Published: December 2022

Abstract
In order to achieve a better balance between accuracy and speed with limited storage and computing resources in the field of industrial defect detection, a lightweight and fast detection framework Mixed YOLOv4-LITE series is proposed based on You Only Look Once (YOLOv4) in this paper. To reduce the size of model, MobileNet series (MobileNetv1, MobileNetv2, MobileNetv3) and depthwise separable convolutions are employed in the modified network architecture to replace the backbone network CSPdarknet53 and traditional convolution in the neck and head of YOLOv4, respectively. Moreover, we combine the Mosic data enhancement method to enrich the dataset. In the training stage, Transfer Learning is used to accelerate the convergence of network, in which pseudo-convergence is precluded as much as possible by adjusting the learning rate of the cosine annealing scheduler. Finally, we evaluate the proposed methods on both public defect datasets with different types and scales, namely NEU-DET and PCB-DET. On NEU-DET, Mixed YOLOv4-LITEv1, which can detect at a rate of 88 FPS on a single GPU while maintaining the accuracy, achieves an improvement of 214% in detection speed. And Mixed YOLOv4-LITEv3 realizes an outstanding maximum improvement of 200% in detection speed while only losing a mean average precision (mAP) value of 0.11% on PCB-DET. Furthermore, the sizes of our proposed series models are only about one-fifth of the original YOLOv4 model. The extensive test results indicate that our work can provide an efficient scheme with low deployment cost for surface defect detection at different scales in multiple scenarios, which can meet the needs of practical industrial applications.
Development of MRV for Carbon Management Activities in Gas Distribution Companies, Case Study: Urban Methane Emission Reduction in Tabriz, Iran
Authors: Aghdasinia Hassan , Nejatbakhsh Siyamak , Soodmand Ahmadreza Mohammadian , Karimi Ziba , Mardanghahi Baharak , Mohammadpourfard Mousa 
Published: December 2022

Abstract
Nowadays, with the growing importance of environmental issues, especially greenhouse gases and global warming, carbon management became more crucial. Several organizations and agreements are being legislated and established in this regard. One of the most important steps in carbon management is the MRV. MRV consists of three sections: measurement, reporting, and verification, which are essential for validating emission reduction data. Natural gas distribution companies in Iran are one of the most significant sources of carbon emissions. So, in this project, an MRV document for carbon management activities in gas distribution sector was prepared. According to our investigations, consumers’ equipment plays a major role in methane emission and there is a significant amount of direct leakage from consumer regulators, which can be easily controlled and reduced. As a pilot and case study in the East Azerbaijan Province Gas Distribution Company, after monitoring common equipment and applying mitigation actions, it was observed that almost 50,000 kg/day of CO2 equivalent methane leakage could be prevented in a sample urban area of Tabriz, Iran. The IPMVP protocol was used to validate the data at all stages of the MRV document preparation. This protocol is comprehensive and sufficiently compatible with the project. It should be noted that up to now, no MRV documents have been prepared in Iran. This was the beginning of the comprehensive implementation of this MRV at the National Iranian Gas Company level.
Judgemental Analysis of Data and Prediction Using ANN
Authors: SARISA HEMANTH N S N 
Published: December 2022

Abstract
Everyday lot of posts are created in social media and several users make comments on the post. The comments can be positive or negative or moderate. Just by watching the post one cannot estimate whether the post is positive or not. Manual analysis of each comment of the post related document using Vader analysis takes a lot of time (approximately 5 to 6 hours- depending on number of comments). Also every post comments contains lots of redundant data which should be removed to get the exact sentiment of the post. We need to analyze the sentiment of the post within fraction of seconds by eliminating the redundant data. By using Machine Learning ANN Algorithms and applying them to social media post related datasets which contains a large number of comments. Initially dataset to be imported and at first stage data pre-processing is to be performed so as to remove the useless redundant information or data. The Algorithm uses ANN Data Dictionary which contains list of positive words and negative words to classify each comment in the dataset into positive or negative or moderate category. Along with this it will also gives the information about the sentiment of the post by visualizing the total positive, negative and moderate comments. Apart from this we are calculating the positive words and negative words number in each comment and also analyzing the sentiment of the post based on the keyword analysis. Graph and charts can be generated using Chart tool available in Visual Studio.
Sociomateriality perspectives in interprofessional education and practice: A scoping review
Authors: Sy Michael , Siongco Kathryn Lizbeth , Pineda Roi Charles , Canalita Rainier , Xyrichis Andreas 
Published: December 2022

Abstract

This article examined the literature dealing with the application of sociomateriality perspectives to interprofessional education (IPE) and interprofessional collaboration (IPC). A scoping review methodology was followed based on Arksey and O’Malley’s framework. A systematic database search was performed in September 2021 to retrieve literature published from 2007 onwards, with forty-three papers meeting the inclusion criteria. These papers included research articles, book chapters, conference papers and commentaries, with the majority originating from Europe. Findings were summarised thematically: (1) Power as a sociomaterial entity shaping IPE and IPC; (2) Inclusion of non-health professionals in reimagining IPE and IPC practices, and (3) The critical understanding of sociomateriality. The results suggest that a sociomateriality perspective can allow for the reimagination of the contemporary and future practices of interprofessionalism.
Photosensitizing deep-seated cancer cells with photoprotein-conjugated upconversion nanoparticles
Authors: Park Sung Hyun , Han Soohyun , Park Sangwoo , Kim Kyung-Min , Kim Suyeon , Lee Joonseok , Kim Young-Pil 
Published: December 2022

Abstract
To resolve the problem of target specificity and light transmission to deep-seated tissues in photodynamic therapy (PDT), we report a cancer cell-targeted photosensitizer using photoprotein-conjugated upconversion nanoparticles (UCNPs) with high target specificity and efficient light transmission to deep tissues. Core-shell UCNPs with low internal energy back transfer were conjugated with recombinant proteins that consists of a photosensitizer (KillerRed; KR) and a cancer cell-targeted lead peptide (LP). Under near infrared (NIR)-irradiating condition, the UCNP-KR-LP generated superoxide anion radicals as reactive oxygen species via NIR-to-green light conversion and exhibited excellent specificity to target cancer cells through receptor-mediated cell adhesion. Consequently, this photosensitizing process facilitated rapid cell death in cancer cell lines (MCF-7, MDA-MB-231, and U-87MG) overexpressing integrin beta 1 (ITGB1) receptors but not in a cell line (SK-BR-3) with reduced ITGB1 expression and a non-invasive normal breast cell line (MCF-10A). In contrast to green light irradiation, NIR light irradiation was considerably effective for cancer cells below porcine skin tissues up to a depth of 10 mm. This finding suggest that the designed nanocomposite is useful for sensing and targeting various deep-seated cancer cells.
Assessment of genetic diversity of Pea (Pisum sativum L.) landraces using SSR markers
Authors: Arif Uzma , Hussain Sayed , Ahmed Muhammad Jamil , Rabbani Malik Ashiq , Arif Ayaz Ahmed , Awan Shahid Iqbal 
Published: December 2022

Abstract
Background
The purpose of the current investigation was to distinguish 46 pea genotypes collected from different areas of Azad Jammu and Kashmir and NARC Islamabad. We initially experienced 20 SSR markers; 10 of these markers were choosen on the basis of high polymorphism information content in the molecular assays.
Results
The average number of the scorable bands per primer was 29.75% while average number of monomorphic and polymorphic bands was 16.25% and 12.85% respectively. The variations of genetic diversity among these genotypes ranged from 0.18 to 0.98. Maximum genetic diversity were noted in genotypes; M-39, L-29, L-32, L-1, L-5, L-8, L-11, L-24, L-19, L-17, L-25, L-23, L-37 and M-83, while using cluster analysis based on Dice coefficients as the unweighted pair-group method with arithmetic mean (UPGMA). Furthermore, principal component (PC) analysis also showed similar results as to those of UPGMA. The eight principal components (PC) accounted for 74.2% of the variation (21.74, 15.72, 8.76, 7.73, 6.19, 5.19, 4.50 and 4.37 for PC1, PC2, PC3, PC4, PC5, PC6, PC7 and PC8, respectively).
Conclusion
The results of the present study will be useful in understanding the pea’s genetic makeup and in the selection of suitable varied landraces for future improvement programmes in the pea.
Managing &amp; Analyzing the Regression of Infected Cells By Means of Photonic Crystal Tweezers &amp; Artificial Intelligence
Authors: Sharma Sunil , Tharani Lokesh 
Published: December 2022

Abstract
This paper is proposed for managing and analyzing the infected cells through photonic crystal tweezers along with the use of a regression models like support vector machine (SVM) and artificial intelligence (AI)-based K-nearest neighbor (KNN). Previously, photonic crystal tweezers were used to detect tumor cells and proved very effective in many types of tumor detection but it was not supposed to analyze these infected cells so with the help of regression model we can analyze them. Among the available AI techniques like K- nearest neighbor (KNN), Adoptive Neuro Fuzzy Inference System (ANFIS), Fuzzy KNN (FKNN), Support Vector Machine (SVM) and probabilistic neural network (PNN); SVM and KNN observed accuracy of 96% and 92% respectively while the sensitivity is importantly analyzed by these two techniques are 32,358 nm/RIU and 11,258 nm/RIU was observed to be 1.251 and 1.337 for tumor cells, respectively. Majorly the research is supposed to offer advantages for managing and for early detection of infected tumor cells by implication of tweezers with selected regression technique.