bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating psychological distress associated with life events under the traumatic experience threshold in patients with major depressive and bipolar disorder
Authors: Ishii Hiroki , Hashimoto Tasuku , Sato Aiko , Tanaka Mami , Seki Ryota , Ogawa Michi , Kimura Atsushi , Nakazato Michiko , Iyo Masaomi
Published: December 2022

Patients with bipolar disorder (BD) and major depressive disorder (MDD) experience psychological distress associated with daily events that do not meet the threshold for traumatic experiences, referred to as event-related psychological distress (ERPD). Recently, we developed an assessment tool for ERPD, the ERPD-24. This tool considers four factors of ERPD: feelings of revenge, rumination, self-denial, and mental paralysis. We conducted a cross-sectional study between March 2021 and October 2022 to identify the differences and clinical features of ERPD among patients with MDD and BD and healthy subjects who did not experience traumatic events. Specifically, we assessed ERPD using the ERPD-24 and anxiety-related symptoms with the State-Trait Anxiety Inventory, Liebowitz Social Anxiety Scale, and anxious-depressive attack. We used a one-way analysis of variance test to compare differences among the groups, followed by a post hoc test. Non-remitted MDD patients and BD patients regardless of remission/non-remission presented more severe ERPD than healthy subjects. This study also demonstrated the relationships between all anxiety-related symptoms including social phobia and anxious-depressive attack and ERPD in both BD and MDD patients and in healthy subjects. In conclusion, patients with non-remitted MDD and with BD regardless of remission/non-remission experience severe ERPD related to anxiety-related symptoms.
Resolving the discrepancies in reported 13C solid state NMR chemical shifts for native celluloses
Authors: Brouwer Darren H. , Mikolajewski Janelle G.
Published: December 2022

A survey of the literature reporting solid-state 13C NMR spectra of native celluloses reveals inconsistencies in the reported 13C chemical shifts for cellulose Iα and Iβ allomorphs. With reported chemical shifts varying by up to 2 ppm, it is not clear what the correct chemical shifts actually are. Since reliable experimental data are important to future work, such as quantum chemical calculations of NMR parameters or identification of cellulose phases in complex cellulosic materials, it is important that the correct experimental chemical shifts be established with confidence. Through a process of digitization of previously reported spectra and careful consideration of how chemical shifts were referenced in the past, it has been possible to correct previously reported spectra of cellulose Iα and Iβ, putting them on the same chemical shift scale and establishing a definitive set of correctly referenced 13C chemical shifts for cellulose Iα and Iβ allomorphs. In addition, 1D and 2D 13C NMR experiments were carried out on a cellulose Iα-rich bacterial cellulose sample (with 25% 13C enrichment), providing additional evidence for these 13C chemical shifts and a new peak assignment of the 13C signals to the glucose units in cellulose Iα. This work resolves many of inconsistencies in the cellulose solid-state NMR literature and provides a definitive set of 13C chemical shifts that will be important for future work.
Financial Literacy and Finance Behaviors in Latin America and its Relationship with the COVID-Pandemic Period
Authors: Sandoval Juan S. , Collazos María , Sarmiento Julio , Cayón Edgardo
Published: December 2022

Governments worldwide conceive financial literacy as a crucial issue to improve the financial well-being of families. However, the relationship between financial literacy and financial behaviors is inconclusive, especially in developing countries where few studies have tried to assess this relationship. We considered a subjective and an objective measure for financial literacy and 16 financial behaviors of participants from Argentina, Colombia, Ecuador, Mexico, and Peru. In general, we found endogeneity issues in most financial behaviors, and most financial behaviors are not correlated with any of the two measures of financial literacy. Despite that, we found a positive statistically significant relationship between financial literacy and having a savings account, having a budget, setting long-term goals, being willing to take risks, and considering the affordability of something before buying it. Additionally, we found a negative statistically significant relationship between financial literacy and the probability of having higher spending than income and having informal loans. The relationships of the objective financial literacy measure (the Big Three questions) with those financial behaviors listed previously are statistically dependent on the COVID pandemic, which was not the case for the subjective financial literacy measure. The results of the endogeneity issue and the fact that financial literacy might not impact all financial behaviors should be considered for the design of future financial education programs or research projects.
JEL classification codes: G51, G53
Mathematical Processing of Absorption as Green Smart Spectrophotometric Methods for Concurrent Assay of Hepatitis C Antiviral Drugs, Sofosbuvir and Simeprevir: Application to Combined Pharmaceutical Dosage Forms and evaluation of the method greenness
Authors: Derayea Sayed M , Hamad Amal E. , Mohammed Bassam Shaaban
Published: December 2022

The present work was developed to create three rapid, simple, eco-friendly, cheap spectrophotometric methods for concurrent assay of Sofosbuvir (SOF) and Simeprevir (SMV) in their pure, laboratory prepared mixture and pharmaceutical dosage form with high degree of accuracy and precision. Three methods were developed including isosbestic point, ratio subtraction and dual wavelength. The linear range of the proposed methods was 3–50 and 2–50 µg mL− 1 for SMV and SOF, respectively. The proposed methods were validated according to ICH guidelines in terms of linearity, accuracy, precision, limit of detection and limit of quantitation. The proposed approach is highly simple and the procedure is environmentally green making it suitable for the drug analysis in routine works.
CTNNBIP1 Act as A potential Prognostic Biomarker and A ­­Comprehensive Prognostic Analysis in Osteosarcoma
Authors: Wen Jian , Wan Lijia , Dong Xieping
Published: December 2022

Background: Osteosarcoma is the most common primary bone malignancy in children and young adults with poor outcomes in patients with recurrence and metastasis. The role of Wnt signaling pathway in osteosarcoma was complex and not well specified.
Methods: KEGG Wnt signaling pathway related genes were screened by univariate Cox regression analysis, Boruta feature selection and KM analysis in TARGET-OS cohort for the gene with the highest prognostic value in osteosarcoma. Clinical and immune cell infiltration features were also screened by univariate Cox regression, respectively. A prognostic model was established by the indicators screened above and evaluated in training and validation sets. Then, functional analysis of the differentially expressed genes were performed.
Results: CTNNBIP1 was screened as the KEGG Wnt signaling pathway related gene with the highest prognostic value in osteosarcoma. Metastasis, tumor site and M2 macrophage infiltration in tumor tissue were also identified as prognostic indicators. The model established by these indicators was evaluated in training set and successfully validated in validation set. C-index (0.812 in training set and 0.787 in validation set) and Calibration analysis suggested that the model had high prediction accuracy both in training and validation set. AUCs of the ROC analysis for 1-,3-,5-year prediction of the model were 0.96, 0.81 and 0.81 in training set, 0.80, 0.83 and 0.89 in validation set. Decision curve analyses also showed that patients could get high net benefit from the model. Functional analyses of the differential expressed genes between normal and osteosarcoma patients indicated that Wnt signaling pathway and cell cycle were upregulated and focal adhesion was downregulated in osteosarcoma patients. The overexpression of CTNNBIP1 in osteosarcoma tissues was validated by immunohistochemistry.
Conclusions: CTNNBIP1 was a potential prognostic gene and therapeutic target in osteosarcoma. Prognostic model established by CTNNBIP1, clinical and immune cell infiltration indicators had good prediction accuracy and discriminatory capacity.
Etiologic fractions in patients of Hepatocellular carcinoma in India with and without a background of cirrhosis - a multi-centric study
Authors: Prabhakar Tushar , Kaushal Kanica , Prasad Manya , Gupta Ekta , Sood Ajit , Jain Ajay , Shukla Akash , Goel Ashish , Duseja Ajay , Saraya Anoop , Shah Samir , Kumar Guresh , Sarin Shiv Kumar
Published: December 2022

Background: Hepatocellular cancer (HCC) typically arises in the background of cirrhosis. Its epidemiology has been changing due to availability of antivirals, changing life-styles and early detection. We undertook a multicentric national sentinel surveillance for liver cirrhosis and HCC to assess the attributable risk factors for development of HCC, both with and without a background of cirrhosis.
Methods: Data from January 2017 till August 2022 from hospital-based records of eleven participating centres was included. Diagnosed cases of cirrhosis [radiological (multiphase and/or histopathological] and HCC [as per AASLD 2018] were included. History of significant alcohol intake was elicited by AUDIT-C questionnaire.
Results: Altogether 5798 enrolled patients were assessed, of which 2664 patients had HCC. The mean age was 58.2±11.7 years and 84.3% (n=2247) were males. Diabetes was found in over a third of those with HCC (n=1032;39.5%). The most common etiology of HCC was NAFLD (n=927;35.5%) followed by viral hepatitis B and C and harmful levels of alcohol. Among those with HCC, 27.9% (n=744) had no cirrhosis. Higher proportion of cirrhotic HCC patients had alcohol as an etiological factor as compared to non-cirrhotic (17.5% Vs 4.7%, p= <0.001). NAFLD was an etiological factor for a higher proportion of non-cirrhotic HCC patients as compared to cirrhotic HCC (48.2% Vs 30.6%, p=< 0.001). Diabetics more commonly had non-cirrhotic HCC (50.5% vs 35.2%). The odds of having cirrhotic HCC was 1.409 times greater for >60 years, 1.372 times for males and 3.472 times for harmful alcohol consumption. Those with NAFLD were 1.553 times more likely to develop non-cirrhotic HCC.
Conclusion: This large multi-centric study demonstrates that NAFLD is the most important risk factor for development of both cirrhotic and non-cirrhotic HCC in India and has overtaken viral hepatitis. Awareness campaigns and large-scale screening are required to reduce the high burden of NAFLD related HCC in India.
Hybrid Model for Breast Cancer Diagnosis on Mammograms Using Transfer Learning
Authors: abokaff loujain , saii mariam
Published: December 2022

Breast cancer is one of the most common types of cancer among women all over the world, which leads to the death of many women every year due to misdiagnosis and late treatment. Therefore, in this research, a new deep learning model was developed based on Python and using the mini-MIAS dataset. Initially image contrast optimization operations and segmentation were performed to enhance image and extract the region of interest (breast region) in order to improve the performance of the model and increase the accuracy of diagnosis and then extract the features using the transfer learning technique and based on a set of pre-trained networks. A comparison was made between a set of pre-trained convolutional network architectures (VGG16, ResNet50, MobileNetV2, InceptionV3) where the VGG16 network gave the best performance in the phase of extracting features and then building the final hybrid model by merging the VGG16 network with the random forest classifier. Our model achieved 94.25% average accuracy and the Area under curve (AUC) is 98% for all three classes, in addition to reducing the time required to build the system.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 & Analyzing the Regression of Infected Cells By Means of Photonic Crystal Tweezers & Artificial Intelligence
Authors: Sharma Sunil , Tharani Lokesh
Published: December 2022

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.
Prognostic effect of lymphadenectomy extent on ovarian cancer：A population-based analysis
Authors: Wang Liuying , Ji Jianxin , Li Shuang , Zhang Liuchao , Song Yongzhen , Zhang Xuan , Wang Hesong , Li Kang , Cao Lei
Published: December 2022

Background
Lymph node metastasis has a significant contribution to the prognosis of ovarian cancer but the role of lymphadenectomy is controversial in many previous studies. In this study, we aimed to retrospectively determine the effect of lymph nodes removed on survival.
Methods
Based on the surveillance, epidemiology, and end results registry (SEER) database, we included ovarian cancer patients with detailed information from 1973 to 2014. We performed a large population-based study to evaluate the role of lymphadenectomy in patients with ovarian cancer. Cox regression was conducted to select the impact factors of prognosis of ovarian cancer underwent lymphadenectomy. Our study analyzed the overall and cause specific survival of 61,169 patients diagnosed with ovarian cancer to determine the impact of the extent of the lymphadenectomy on prognosis and also evaluated the prognostic significance stratified on demographic and clinic pathological characteristics.
Results
The 5- year overall survival (OS) rates were 39.0%, 55.9% and 67.4% for no lymph nodes, 1 ~ 9 nodes, 10 ~ nodes, respectively (p < 0.001). For cause-specific survival (CSS), they were 39.8%, 58.5% and 70%, respectively (p < 0.001). Multivariate Cox model was used to investigate the role of lymphadenectomy in ovarian cancer on OS and CSS and the results indicated lymphadenectomy had beneficial effect on OS (1 ~ 9 nodes: HR = 0.69, 95% CI: 0.68 ~ 0.71, p < 0.001; 10 ~ nodes:HR = 0.55, 95% CI: 0.53 ~ 0.57, p < 0.001) and CSS (1 ~ 9 nodes: HR = 0.68, 95% CI: 0.66 ~ 0.70, p < 0.001;10 ~ nodes:HR = 0.53, 95% CI: 0.51 ~ 0.54, p < 0.001) and with the increase in the number of lymph nodes, the prognostic effect was better. Furthermore, when stratified by age, marital status, race, stage, grade and histology, more resected nodes were associated with a greater OS and CSS in each stratification.
Conclusions
Lymphadenectomy was associated with more favorable outcomes in ovarian cancer patients undergoing surgery.
Using Machine Learning Techniques to Increase Profit by Retaining Customers
Authors: G Gandhi Jabakumar.
Published: December 2022

According to the overview, client interest in the financial sector has recently increased and can be found in a variety of classes. It's a well-known fact that the cost of acquiring a new client is significantly higher than the cost of maintaining an existing client The goal is to investigate AI-based agitate forecast calculations that are as precise as possible. The entire dataset will be broken down using the administered AI procedure SMLT to collect various snippets of data such as variable ids, missing values, medicines, and information approval cleaning and representation. Furthermore, using the provided Mastercard dataset and assessment grouping report, analyze and assess the presentation of a few AI calculations. The results suggest that the viability of the proposed AI calculation strategy can measure up to the best exactness in recognizing the disarray network and classifying information from need
Digitalization based on high-resolution scanning and HBIM tools for damage assessment of the José de Alencar house
Authors: RUBENS Tallis , RIBEIRO Gilmário , PAULO Renan , BESSA Maycon , MOREIRA Eugênio , VIEIRA Mylene , MESQUITA Esequiel
Published: December 2022

Heritage buildings are of great importance to the human perception of the culture of a community. HBIM (Historic Building Information Modelling) tools offer a possibility of an improved data set of information related mainly to the restoration and preservation of historical buildings. This work aims to assess the damage to the historic house by employing integrated HBIM tolls and experimental procedures. The historic house was assessed by visual inspection of the historic house, 3D modeling with REVIT, and 3D modeling based on point cloud data. The comparison between the two 3D modeling techniques showed a level of damage consisting of a difference between the levels of the roofs. In addition, the visual inspection detected cracks in the walls which agrees with the damage observed from the 3D models comparison. Results indicate that HBIM tools significantly contribute to damage assessment in heritage constructions.
Evaluating the use of UV photoluminescence for surveying the immature stages of rare butterflies: a case study using the Black Hairstreak (Satyrium pruni)
Authors: Tilley Gareth John , Anderson Max , Stewart Alan
Published: December 2022

Conservation of rare and elusive butterflies can benefit from the use of contrasting survey techniques to confirm their presence and to understand the lifecycle in more detail. This case study trialled different survey techniques for all stages of the lifecycle (ova, larva, pupa and adult) to assess their value for monitoring Black Hairstreak (Satyrium pruni) populations in Britain. Daytime surveys for well camouflaged ova, larvae and pupae yielded little success. However, the novel use of UV torches in nocturnal surveys for photoluminescent larvae was found to be an effective technique when compared to surveying adult butterflies. Critically, combined surveying for larvae and adults provides unique insights into the behaviour of the species at different stages in the lifecycle and, when used in combination, gives a more wholistic understanding of the true nature of a colony of Black Hairstreak butterflies. Implications for insect conservation: our results show that the novel use of nocturnal surveys for larvae with UV torches is a valuable technique for surveying for Black Hairstreak butterflies. It therefore has potential to be used in conjunction with other survey techniques for assessing the health of a colony and supporting conservation at different stages of the lifecycle of the butterfly.
Does body shape of toothed whales foretell fast-slow life histories?
Authors: Ferguson Steven H. , Higdon Jeff W. , Schmidt Chloe , Pomerleau Corinne , Mat Cory J.D.
Published: December 2022

A widespread pattern in vertebrate life-history evolution is for species to evolve towards either fast or slow life histories; however, the possible causes of this pattern are multiple. Toothed whales (Odontoceti) are a particularly speciose group that includes a substantial range of body sizes and life histories and thus represent a model group to test the possible cause of this dichotomy. Using ancestral reconstruction, we find that some groups of odontocetes evolved sleek, presumably fast, body shapes around the same time that killer whales (Orcinus orca) evolved to be a predator of other whales approximately 1 Mya during the Pleistocene. A sleek body shape may have evolved as an adaptation to escape killer whale predation and resulted in a longer life-history events. A cluster analysis of odontocete whales confirmed the dual pattern of life-history traits with one group called ‘reproducers’ characterized by early age of maturity, short gestation, short interbirth interval, and short life, and the other group called ‘bet-hedgers’ with the opposite pattern. However, we found life history grouping relatively unrelated to whale shape (sleek or chunky). Results of mixed effects models incorporating principle components, indicated support for body shape as being positively related to neonate length (investment in progeny) but not significantly related to the temporal life-history traits. Thus, whale body shape is not an adequate explanation for the evolution of fast-slow life histories in odontocete whales.
Absence of effects of widespread badger culling on tuberculosis in cattle
Authors: Torgerson Paul , Hartnack Sonja , Rasmusen Philipp , Lewis Fraser , Langton Thomas
Published: December 2022

Government policy in England aims for the elimination of bovine tuberculosis (bTB). This policy includes culling of European badger (Meles meles) to reduce cattle TB incidence. The rationale is based on the results of a field trial, the Randomised Badger Culling Trial (RBCT) 1998-2005, which reported a substantial decrease in bTB herd incidence where badger culling had been implemented, in comparison to untreated control areas. The results were reported in 2006 in the journal Nature. Recent analysis of proactive badger culling in England since 2013 has raised concerns that badger culling, based on RBCT methods, may not reduce bTB herd incidence.
The present study re-examined data from the RBCT experiment using a range of statistical models. It concluded that most analytical options did not show any evidence to support an effect of badger culling on herd incidence of bTB ‘confirmed’ by visible lesions or bacterial culture post mortem. However, the statistical model selected and reported from the RBCT study was one of the few models that did show an effect. Various criteria suggest that this was not an optimal model compared to other analytical options then available. The most likely explanation is that the RBCT proactive cull analysis overfitted the data with a non standard method to control for exposure. This resulted in it having a poor predictive value. Fresh appraisals suggest that evidence from more suitable analysis of the original data show that badger culling does not bring about the reported effects.
The RBCT found no evidence of an effect on ‘total’ (confirmed and unconfirmed) bTB herd incidence, which we have also found using the more suitable statistical models. The selective choice of use only of ‘confirmed’ incidence data, together with more recent (2013) published perception that RBCT data presented ‘a strong evidence base….with appropriate detailed statistical or other quantitative analysis’ should now be adjusted to conclude that this evidence base is weak or at least, equivocal. The results of the present report are consistent with findings that badger culling in England (2013-2019) shows no significant disease control benefit.
The findings of this study help explain one form of driver to the reproducibility crisis, in this case with disease control management in an increasingly intensified livestock industry.
Development and initial validation of a school self-assessment tool to measure the extent to which schools are prepared to prevent and respond to cyberbullying and other challenges to the school social environment
Authors: Dyke Nina Van , MacDonald Fiona , Bajayo Rachael , Nguyen Chinh Duc , Leung Cynthia , Francis Sophie
Published: December 2022

Bullying, which includes cyberbullying and face-to-face bullying, is amongst the most pervasive threats to the wellbeing of children and young people. As social environments, schools are at the forefront of managing bullying behaviours. The rapidly changing and complex nature of bullying requires schools to put in place and maintain systems to prepare for and respond to such activities, and to continually test and refine these systems to ensure optimal performance. Despite this clear need, there is a lack of school level, self-assessment tools that enable schools to assess and measure their preparedness to deal with bullying and related disruptive activities. The aim of this paper was to describe the development, and reliability and validity testing, of such a tool – the School Self-Assessment Tool. The result is a 22-item, evidence-based, reliable, and validated instrument, situated within socio-ecological theory, and drawing on theories of behaviourism, social learning theory, prevention science, and systems change in the school climate literature. Schools may use the SSAT-22 in a number of ways depending on their needs, including to monitor progress, examine areas of strengths or challenges, and/or assist in collaborative efforts with other schools.