bluuebunny/crossref_metadata_2025_split huggingface dataset:
Right foot – osteochondroma - A case report
Authors: Sajeev Joseph , Cherian Joe , Jeevo Jerin , Philip Kevin 
Published: November 2022

Osteochondromas are thought of as benign bone tumours, however they are actually developmental defects.A long tubular bone that may be sessile or pedunculated has an outgrowth with cartilage covering it that is visible on radiographs. Additionally, the cartilage cap can harden. Any changes in radiological appearance are strongly indicative of chondrosarcoma, particularly those with ill-defined border development and thickening of the cartilage cap &#62;15 mm.: An insidious onset, slow progression, and lack of aggravating or alleviating variables were all complaints made by a 21-year-old male patient with swelling and pain across the right foot dorsal side for the past two years Upon examination, there was a firm, irregularly shaped, 5 to 6 cm swelling over the dorsal part of the right foot that was attached to the underlying bone.: The majority of benign bone tumours, or 36% to 41% of all benign bone tumours, are conventional osteochondromas. Osteochondromas are uncommon in the foot and ankle regions, but if a big osteochondroma develops in these areas and is interfering with function, it should be removed. The amount of the lesion, any soft tissue involvement, and the depth and placement of the cartilage cap can all be seen on an MRI, which is helpful in the workup of an osteochondroma that is symptomatic or worrisome.According to histology, the osteochondroma's cap is made of hyaline cartilage, with well-differentiated cells abundantly spaced out by cartilage matrix and oriented in columns that mimic the epiphyseal growth plate in the deepest levels of the cap.
EVALUATION OF FEATURED BIOCHEMICAL PARAMETERS AND VITAMIN D IN COVID-19
Authors: MENEKŞE Elif , EMİN DÜZ Muhammed , BALCI Aydın , DURMAZ Mustafa 
Published: November 2022

Aim: We aimed to evaluate potential coagulation and inflammatory biomarkers. The recently discussed vitamin D levels predict the course ef the disease and determine the patients to be admitted to the intensive care unit in advance.
Materials and Methods: This retrospective case-control study was conducted on 121 patients diagnosed and treated with COVID-19 disease, from March 2020 to June 2020 at the Amasya Sabuncuoğlu Şerefeddin Training and Research Hospital, Amasya, Turkey. D-dimer, Fibrinogen, Ferritin, and 25-OH Vitamin D levels that could be associated with COVID-19 infections were evaluated. The patients were divided into three groups: only Polymerase Chain Reaction positivity (PCR+), only Computerized Tomography positivity (CT+) and both PCR+ and CT+ among COVID-19 cases.
Results: 121 patients with at mean age of 53 were investigated (52% male). Only CT+ cases were significantly older than other patients, p
ВЛИЯНИЕ ТЕРМОБАРИЧЕСКИХ ПАРАМЕТРОВ НА ЭФФЕКТИВНОСТЬ ПРОЦЕССА ПОДГОТОВКИ ПРИРОДНОГО ГАЗА
Authors: Лиинтин Илья Алексеевич , Ерофеев Владимир Иванович 
Published: November 2022

Актуальность. В последние годы кроме непосредственной добычи природного или попутных нефтяных газов из недр их потом необходимо подготовить, обеспечить товарное качество, в частности, удалить влагу, высшие углеводороды С2+ и другие побочные не углеводородные газы, которые отрицательно и пагубно влияют на технико-экономические показатели работы установок и способствуют образованию кристаллогидратов. В связи с высокими требованиями к качеству подготовленного природного газа и с ростом влагосодержания в газе из-за высокой степени обводненности нефтяных и газовых месторождений, для повышения рентабельности добычи газа, технологии подготовки газа постоянно совершенствуются и обновляются, в том числе и абсорбционный метод осушки природного газа от примесей воды.

Цель: обосновать эффективность применения триэтиленгликоля в качестве абсорбента при подготовке природного газа абсорбционным методом на действующей комплексной установке подготовки природного газа.
Объект: установка комплексной подготовки природного газа.
Метод: моделирование процессов абсорбции влаги из природного газа в программном комплексе «UniSim Design».
Результаты. Исследовано влияние технологических параметров давления и температуры, а также двух абсорбентов: диэтиленгликоля и триэтиленгликоля, на эффективность процессов подготовки газа на модели установки подготовки природного газа действующего газового промысла. Установлены оптимальные температура и давление, при которых процесс абсорбции влаги из природного газа будет наиболее эффективно проходить и при снижающемся давлении входного сырья. Показано, что при использовании триэтиленгликоля в качестве абсорбента для осушки природного газа от воды значительно уменьшаются энергозатраты на компримирование газа, его охлаждение перед абсорбером и расход осушителя по сравнению с диэтиленгликолем.
Sellos y Signos Distintivos de Calidad en las Exportaciones del Sector Agropecuario Costarricense
Authors: Rosales Moya María Fernanda , Gomez Castillo David , Ruiz Zapata Andrea 
Published: November 2022

El objetivo del manuscrito es describir los sellos y signos distintivos de calidad, utilizados en los principales productos frescos de exportación de Costa Rica. Dentro de estos sellos y signos distintivos de calidad se encuentran las Identificaciones Geográficas, las Denominaciones de Origen, Marca País (Esencial Costa Rica), Comercio Justo (Fairtrade), Certificación Orgánica y la Certificación Rainforest Alliance. Se identifica la relevancia de cada uno, así como sus principales características o principios, pasos para certificarse, entes relacionados al tema en el país, principales agencias de certificación, con el fin de contextualizar a las personas lectoras. La información presentada proviene de una exhaustiva revisión bibliográfica, que abarca artículos científicos, tesis de grado, comunicados de las organizaciones certificadoras, entre, otros. Los sellos y signos distintivos de calidad brindan a un producto del sector agropecuario de exportación diferenciación en los mercados internacionales, ya que son elementos visibles al consumidor final, donde éste puede confiar que dicho producto pasó por procesos de cumplimiento legales, cultuales, sociales y/o ambientales que le generan confianza para su compra y consumo.
Effects of circle-the-sage strategy on secondary schools students' numerical ability in physics in Nigeria
Authors: Ukoh Edidiong Enyeneokpon , Aladejana Alaba Lawrence 
Published: November 2022

The study examined effect of circle the sage instructional strategy on studentsâ€™ numerical ability in Physics in senior secondary schools in Ikere local government of area of Ekiti state. A sample of sixty (60) students was selected for the study. A self-structured Physics Numerical Ability Test was used for data collection. A pre-test post-test quasi experimental research design was employed for the study. Two secondary schools in Ekiti state were chosen for the study. A test-retest method was employed to ascertain the reliability of the instrument, using Pearson Product Moment Correlation (PPMC). Three (3) hypotheses were formulated for the study. Self constructed twenty items multiple choice questions was used to collect the date and the data collected were analysed using ANCOVA. The findings of the study revealed that there was no significant effect of treatment on numerical ability of students in Physics, there was no significant effect of gender on numerical ability of students in Physics and there was no significant interaction effect of treatment and gender on numerical ability of students in Physics. Therefore, the study recommended that, though there was no effect of circle the sage strategiy on studentsâ€™ numerical ability but cicle the sage with other strategies should be used to teach Physics at all level and be incorporated into the teaching of Physics at the secondary school level.
A systems biology approach reveals the endocrine disrupting potential of Aflatoxin B1.
Authors: Verga Jacopo U. , Padovano Costanzo , Silveira Willian A. da , Hazard E. Starr , Nugent Anne P. , Elliott Christopher T. , Carnevali Oliana , Galeazzi Roberta , Hardiman Gary 
Published: November 2022

Abstract
Aflatoxin B1 (AFB1) a mycotoxin produced by Aspergillus flavus and A. parasiticus is a potent carcinogen and causative agent of hepatocellular carcinoma (HCC). It is a food contaminant which presents a major risk to human health. AFB1 contamination poses a significant economic burden, as 25% of the world's food crops need to be destroyed annually. The mechanism of action (MOA) of aflatoxins remains to be fully elucidated. An integrative systems biology approach was therefore undertaken to decipher the estrogenic component of the AFB1 MOA. Molecular Docking and molecular dynamics simulations were performed to examine the binding affinity of AFB1 and its metabolite aflatoxin Q1 (AFQ1) with the Estrogen Receptors (ERs). Differential gene expression (DGE), gene ontology (GO) and pathway analyses were carried out on hepatic transcriptomic data following in vivo AFB1 exposures. In parallel exposures to the synthetic estrogen ethinylestradiol (EE2) were examined for overlapping effects. Finally, protein-protein interaction (PPI) network analysis assessed the involvement of estrogen responsive targets (ERTs) associated with aflatoxin exposure. The free energies of binding affinity and estimated equilibrium dissociation constants (KD) demonstrated that AFB1 and AFQ1 both interact with ERα and ERβ. DGE and GO analyses highlighted overlap in the responses between AFB1 and EE2 treatments. PPI network analyses following AFBI exposure revealed a dynamic response to AFB1 treatments with solid involvement of ERTs in regulatory networks. This study revealed molecular interactions between aflatoxins (AFB1, AFQ1) and ERs in addition to overlap in DGE and biological processes following AFB1 and EE2 exposures. The estrogenic components at the core of the PPI networks suggest that ER-mediated signaling pathways are a major component in the MOA of aflatoxins.
Comparative evaluation of the fractional flow reserve derived from coronary computed tomography angiography (CT-FFR) and fat attenuation index (FAI) in predicting revascularization
Authors: Yang Fengfeng , Zhu Chentao , Shi Ke , Zhao Yang , Zhang Tong 
Published: November 2022

Abstract
Purpose
This study aimed to evaluate the clinical value of the fractional flow reserve derived from coronary computed tomography angiography (CT-FFR) and fat attenuation index (FAI) in predicting coronary revascularization.
Methods
Patients with known or suspected CAD who underwent coronary computed tomography angiography (CCTA) and subsequent invasive coronary angiography were screened. All CCTA data were calculated by a cloud workstation in standard Digital Imaging and Communications in Medicine format. Lesion-specific CT-FFR, distal-tip CT-FFR, and FAI were analyzed by core laboratories blinded to patient management.
Results
A total of 94 patients who received CCTA followed by invasive coronary angiography were identified and analyzed; 282 vessels were included for analysis. Overall, 54 (57.4%) patients with 72(25.5%) vessels demonstrated revascularization. In the multivariate model, FAI (odds ratio [OR]: 1.19; p < 0.001), lesion-specific CT-FFR (OR: 3.80; p = 0.009), and distal-tip CT-FFR (OR: 4.20; p = 0.008) values were identified as independent negative predictors. All receiver operating characteristic curves were above the reference line. The areas under the receiver operating characteristic curve for lesion-specific CT-FFR, distal-tip CT-FFR, and FAI were 0.798, 0.767, and 0.802, respectively. When the optimal threshold value of FAI was − 86 HU, the sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy for predicting revascularization were 88.9%, 59.0%, 42.7%, 93.2%, and 0.66, respectively. The corresponding values for the lesion-specific CT-FFR were 73.6%, 81.0%, 56.3%, 88.2%, and 0.78, respectively.
Conclusions
In patients with documented CAD on CCTA, adjunctive noninvasive functional testing based on the CT-FFR and FAI yielded similar overall accuracy for prediction of coronary revascularization. However, a significant difference was observed in diagnostic sensitivity of the FAI; the lesion-specific CT-FFR demonstrated the highest specificity. In conclusion, CT-FFR and FAI derived from quantitative CCTA improved the prediction of future revascularization. These parameters can potentially identify patients likely to require revascularization on referral for cardiac catheterization.
Hypoxic potentiation of cytoskeleton prevents oncogene-induced senescence
Authors: Park Hyunsung , Moon Ramhee , Chang Soojung , Chae Sehyun , Park Chansang , Hwang Daehee 
Published: November 2022

AbstractExpression of oncogenes in human primary cells triggers oncogene-induced senescence (OIS). Distinct from other types of senescence, OIS induces dramatic changes in nuclear shape, cytoskeleton, and heterochromatin distribution. We found that ectopic expression of theΔB-Rafoncogene in IMR90 human fibroblasts induced rearrangement of heterochromatin accompanied by weakening of the cytoskeleton and nuclear lamia, all of which hypoxic condition prevented. RNA-seq analyses revealed that genes involved in cytoskeleton organization were repressed during OIS but much less so under hypoxic condition, whereas genes involved with nuclear lamina remained unchanged. By contrast, the protein levels of nuclear lamina constituting proteins, Lamin A, Emerin and Sun1 diminished during OIS but not under hypoxia. We found that maintaining the cytoskeleton is important for hypoxia to protect nuclear integrity and prevent senescence. This study found that treatment with RhoA/ROCK inhibitors such as Y-27632 destabilized not only cytoskeleton but also the nuclear envelope to induce OIS even under hypoxic condition. These findings show that cytoskeletal organization can be a therapeutic target for blocking hypoxic anti-senescence effects.
Development of a 3D printed in vitro integrated oro-pharyngeal air-liquid interface cellular throat model for drug transport
Authors: Sheikh Zara , Granata Antonella , Zhang Ye , Mahvizani Hanieh Mohammad Gholizadeh , Silva Dina , Young Paul M , Casettari Luca , Ong Hui Xin , Traini Daniela 
Published: November 2022

Abstract
ABSTRACT
To simulate the deposition of drugs in the oro-pharynx region, several in vitro models are available such as the United States Pharmacopeia-Induction Port (USP-IP) throat and the Virginia Commonwealth University (VCU) models. However, currently, there is no such in vitro model that incorporates a biological barrier to elucidate drug transport across the pharyngeal cells. Cellular models such as in vitro air-liquid interface (ALI) models of human respiratory epithelial cell lines are extensively used to study drug transport. To date, no studies have yet been performed to optimise the ALI culture conditions of the human pharyngeal cell line Detroit 562 and determine whether it could be used for drug transport. Therefore, this study aimed to develop a novel 3-D printed throat model integrated with an ALI cellular model of Detroit 562 cells and optimise the culture conditions to investigate whether the combined model could be used to study drug transport, using Lidocaine as a model drug. Differentiating characteristics specific to airway epithelia were assessed using 3 seeding densities (30,000, 60,000, and 80,000 cells/well (c/w), respectively) over 21 days. The results showed that Detroit 562 cells completely differentiates on day 18 of ALI for both 60,000 and 80,000 c/w with significant mucus production, showing response to bacterial and viral stimuli and development of functional tight junctions and Lidocaine transport with no significant differences observed between the ALI models with the 2 cell seeding densities. Results showed the suitability of the Low density (60,000 c/w or 1.8 × 105 cells/cm2) ALI model to study drug transport. Importantly, the developed novel 3-D printed throat model integrated with our optimised in vitro Detroit 562 ALI model showed transport of Lidocaine throat spray. Overall, the study highlights the potential of the novel 3-D printed bio-throat integrated model as a promising in vitro system to investigate the transport of inhalable drug therapies targeted at the oro-pharyngeal region.
Developing maize silage and ryegrass blends based fattening ration for the low-input small-and medium scale fattening farmers in Pakistan
Authors: Farooq Khalid , Tahir Muhammad , Khan Nazir Ahmad , kHAN Kamran 
Published: November 2022

Abstract
This study aimed to explore the effects of developing maize silage and ryegrass forage blend based fattening rations on intakes of dry matter (DM), nutrients and metabolizable energy (ME), digestibility of DM and nutrients, body weight (BW) gain and body condition score (BCS). Five diets containing maize silage and ryegrass in the ratios of 30:70; 40:60; 50:50; 60:40 and 70:30 on DM basis in the forage mixture were evaluated in comparison to control/traditional diet. A total of 18 calves were allocated to the six experimental diets. The intake of all nutrients improved (P < 0.05) with the incorporation of blends of maize silage and ryegrass in the diet. Moreover, the intake of DM, organic matter (OM), and ME consistently increased (P < 0.05) with increasing maize silage inclusion levels (30 to 70%) in the forage blends, and the highest (P < 0.05) intake was recorded for diet containing 70% maize silage. The inclusion of forage blends in the diets increased (P < 0.05) average daily gain (ADG) and BCS as compared to the control diet. The minimum (P < 0.05) values of ADG (478 g/day) and BCS (3.00) were recorded for the control diet, and the maximum (P < 0.05) values of ADG (663 g/day) and BCS (5.75) were recorded for diet containing 70% maize silage. In conclusion, maize silage-based forage blends increased ADG of the calves by an average of 100 g/day as compared to the control diet, and the highest increase in ADG of 150 g/day was recorded for a blend containing highest proportion (70%) of maize silage.
Prediction of China's Industrial Carbon Peak: Based on GDIM-MC Model and LSTM-NN Model
Authors: Li Wen-kai , Wen Hong-xing , Nie Pu-yan 
Published: November 2022

Abstract
The industrial sector is the key area for China to achieve the carbon peaking goals, as it accounts for more than 65% and 70% of the national total energy consumption and carbon emissions. However, the discussion on the time and route of carbon peak in China in the existing literature is still quite different. In this study, we establish three scenarios and comprehensively used Monte Carlo simulation and LSTM Neural Network model to predict the evolution trends of China's industrial carbon emissions during 2020–2030. Firstly, the decomposition results of the Generalized Divisia Index Method shows that fixed assets investment is the most important factor for promoting and carbon intensity of investment is the key for reducing carbon emissions. Then, basing on the Monte Carlo dynamic simulation, we could draw the three kinds of carbon emissions route that it will peak in 2031 in the Baseline scenario, in the Green Development scenario (environmental policy improvement) and Technological Breakthrough scenario (green technology progress) will peak in 2027 and 2025, and under the LSTM Neural Network model, peak time will occur in 2028. Comparing the results of above predictions, China's industrial carbon emissions could peak by 2030(in GD scenario, 2027; TB scenario, 2025). Finally, we discuss the path of China's industrial carbon emissions reduction and provide a reference for the rational formulation of low-carbon regulatory policies in the future and the realization of sustainable development.
Predicting the speciation of ionizable antibiotic ciprofloxacin by biochars with varying carbonization degrees
Authors: Shi Guowei , Li Yasong , Liu Yaci , Wu Lin 
Published: November 2022

Abstract
Sorption mechanisms of ionizable organic pollutants by biochars and approaches for the prediction of sorption are still unclear. In this study, batch experiments were conducted to explore the sorption mechanisms of woodchip-derived biochars prepared at 200–700 ˚C (referred as WC200-WC700) for cationic, zwitterionic and anionic species of ciprofloxacin (referred as CIP+, CIP± and CIP−, respectively). The results revealed that the sorption affinity of WC200 for different CIP species was in the order of CIP± > CIP+ > CIP−, while that of WC300-WC700 remained the order of CIP+ > CIP± > CIP−. WC200 exhibited a strong sorption ability, which could be attributed to hydrogen bonding and electrostatic attraction with CIP+, electrostatic attraction with CIP±, and charge-assisted hydrogen bonding with CIP−. Pore filling and π-π interactions contributed to the sorption of WC300-WC700 for CIP+, CIP± and CIP−. Rising temperature facilitated CIP sorption to WC400 as verified by site energy distribution analysis. Proposed models including the proportion of three CIP species and sorbent aromaticity index (H/C) can quantitatively predict CIP sorption to biochars with varying carbonization degrees. These findings are vital to elucidating the sorption behaviors of ionizable antibiotics to biochars and exploring potential sorbents for environmental remediation.
The impact of information disclosure on consumer acceptance of genome-edited foods in Japan
Authors: Shigi Ryoma , Seo Yuna 
Published: November 2022

Abstract
Genome editing promises the acceleration of genetic progress by replacing the germ cell lineage of commercial breeding animals with cells derived from genetically elite lines for efficient food production and food waste reduction. However, Japanese consumers are not familiar with such foods. This study investigates consumer acceptance of genome-edited (GE) foods and how information disclosure impacts it. We constructed a GE food acceptance model and investigated consumer willingness to pay (WTP) for different information disclosure levels. This model illustrated that information credibility and perceived usefulness are significantly related to consumer acceptance, especially the former. We found that WTP was 76 JPY (approximately 0.69 USD) for functional information, 11 JPY (approximately 0.1 USD) for GE food labels, and 38 JPY (approximately 0.345 USD) for genome editing technology descriptions. As this is an early study of such a model, we believe that there is scope for various discussions in the future.
Spatial–Temporal Distribution Prediction Method of Urban Population Density through Behaviour–Environment Agent Model（BEM）
Authors: YANG JUNYAN , SHI YI , ZHENG YI , ZHANG ZHONGHU 
Published: November 2022

Abstract
Based on the interrelationship between the built environment and spatial–temporal distribution of population density, this paper proposes a method to predict the spatial–temporal distribution of urban population density using the depth residual network model (ResNet) of neural network. This study used the time-sharing data of mobile phone users provided by the China Mobile Communications Corporation to predict the time–space sequence of the steady-state distribution of population density. Firstly, 40 prediction databases were constructed according to the characteristics of built environment and the spatial–temporal distribution of population density. Thereafter, the depth residual model ResNet was used as the basic framework to construct the behaviour–environment agent model (BEM) for model training and prediction. Finally, the average percentage error index was used to evaluate the prediction results. The results revealed that the accuracy rate of prediction results reached 76.92% in the central urban area of the verification case. The proposed method can be applied to prevent urban public safety incidents and alleviate pandemics. Moreover, this method can be practically applied to enable the construction of a “smart city” for improving the efficient allocation of urban resources and traffic mobility.