bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon Sink Project: Regenerative Radial Soil System for Livestock in the Native Savanna of Vichada, Colombia
Authors: Gonzalez Doris L. , Trujillo-González Juan Manuel , Gonzalez Fabio A. , Gelvez-Pinzon Kelly Mayerly 
Published: November 2022

Abstract
One option to remove greenhouse gases (GHGs) from the atmosphere is to implement initiatives that use natural carbon sinks, including oceans, plants, forests, and soil. The global soil carbon sequestration potential is estimated to be 4–5 GtCO2/year, assuming best management practices are implemented (Paustain, 2019). However, conventional farming practices associated with extensive livestock grazing in tropical areas worsen global climate change by releasing GHG and promoting soil desertification due to erosion, compaction of soil, and loss of organic matter. This study presents a unique Soil-Based carbon sequestration project that integrates livestock, soil improvement, forestation, carbon dioxide (CO2) sequestration, methane (CH4) utilization, and nitrous oxide (N2O) reduction. It presents a combination of technologies that originates the rational rotational regenerative (RRR) grazing system and how this approach adapts cattle farming activities to climate change to offset GHG emissions. It includes biogas and biofertilizer production from waste to reduce the use of chemical fertilizer. The produced biogas would replace the community's firewood cooking method commonly used. This system closes the loop for an entirely circular economy, achieving proper climate-smart livestock production as livestock's importance is undisputable for food security. Results show that the proposed radial module is a very efficient carbon sink system able to capture twice the amount of equivalent emissions that cattle emit. It also organically improves the quality of the soils and produces 500 tons of hummus, 1,666 tons of organic fertilizer, and 71,400 m3 of biogas per year for bioenergy utilization. The project also looks to safeguard forests, protect biodiversity by forming ecological corridors, and optimize water management. This natural climate solution design looks to deliver environmental, biodiversity, and social benefits in line with United Nations Sustainable Development Goals.
Enamel defects among Syrian schoolchildren in Damascus city: A cross-sectional epidemiological survey
Authors: Jeghami Rania Al , Dashash Mayssoon 
Published: November 2022

Abstract
Background:Enamel defects EDs can affect the quality of life due to poor aesthetic appearance, post-eruptive caries and breakdown. Therefore, there is a need to provide further understanding about prevalence of EDs among Syrian children and etiological factors. Therefore, this study was undertaken to determine the prevalence and etiological factors of EDs among Syrian children aged 7 to 12 years in Damascus.
Methods: a cross-sectional observational study was undertaken. A total of 2000 schoolchildren (934 boys and 1066 girls) were firstly examined to detect EDs. Using the Enamel Defect Index (EDI), a second clinical examination was performed to 240 children with EDs. All surfaces of affected teeth were examined individually. A following telephone interview with parents was performed to investigate the etiological factors of EDs.
Results: The prevalence of EDs was 16.1%. Percentages of Localized enamel defects LEDs, Molar incisor hypomineralization MIH, amelogenesis imperfecta AI and EDs related to high fluoride intake were 51.7%, 42.7%, 5% and 0.6% respectively. The highest prevalence of EDs was observed in the upper incisors followed by the lower first molars, whilst EDs were least prevalent in upper lateral incisor. The etiological factors that significantly contribute to EDs type, were the place of residence and educational level of parents. Having higher educational level of parents was significantly associated with higher prevalence of MIH of children whilst LEDs were significantly associated with low educational level of parents. Other factors including gender, age, consanguineous marriage, economic status of family, medical problems and medications during pregnancy, nature of delivery, timing of birth, child's birth weight, type of feeding, genetic and systemic diseases and allergic problems, injuries, bruises and surgeries during childhood, were not associated with EDs.
Conclusions: information about the prevalence of EDs and etiological factors have been provided. Educational level of family and place of residence can be predisposing factors for the presence of EDs among Syrian children. There is a need for raising awareness towards EDs among Syrian community to take preventive measures in order to preserve the rest of intact dental tissues and prevent post-eruptive breakdown of affected teeth.
An Experimental Investigation on the Strength of Mud Based Geopolymeric Masonry Blocks Admixed With Steel Slag and GGBFS
Authors: K INFANT XAVIER K , K K.MAHENDRAN 
Published: November 2022

Abstract
This study aims to evaluate the role of steel slag and GGBFS in mud-based geopolymer blocks. For all mixes, a constant proportion of 30% GGBFS is used. Steel slag is replaced with soil in increments of 5%, ranging from 0–30%. The specimens were tested for dry and wet compressive strengths, water absorption, Ultrasonic Pulse Velocity (UPV), Spray erosion, efflorescence, and dimensionality. Scanning Electron Microscopic Images were used to examine the microstructure of the specimens (SEM). The optimal mix was discovered to be 20% steel slag, 30% GGBFS, and 50% soil (i.e., Mix SGSS20). Under both curing conditions, the optimal amount of slags improved the strength behaviour of mud-based geopolymer masonry blocks. The experimental and microstructural results confirmed that the SGSS20 mix had better results due to good geopolymer formation in its interior composition. more significant dissolution of silica and alumina particles present in the slags improved the density of the blocks and reduced the pores.
Short-Term and Long-Term Outcomes of Single-Incision plus One-Port Laparoscopic Surgery for Colorectal Cancer: A Propensity-Matched Cohort Study with Conventional Laparoscopic Surgery
Authors: Wu Mingyi , Wang Hao , Zhang Xuehua , Shi Jiaolong , Lan Xiaoliang , Mou Tingyu , Wang Yanan 
Published: November 2022

Abstract
Background
Single-incision plus one-port laparoscopic surgery (SILS + 1) has been demonstrated to be minimally invasive while possessing better cosmesis and less pain compared with conventional laparoscopic surgery (CLS). However, SILS + 1 as an alternative to CLS for colorectal cancer is still controversial.
Methods
A total of 1071 patients who underwent curative laparoscopic surgery for colon cancer between 2015 and 2018 were included. Of these patients, 258 SILS + 1 cases and 516 CLS cases were analyzed using propensity score matching. The baseline characteristics, surgical outcomes, pathologic findings and recovery course, morbidity and mortality within postoperative 30 days and 3-year disease-free and overall survival were compared.
Results
Baseline characteristics were balanced between the groups. The mean operating time was significantly shorter in SILS + 1 group, with less estimated blood loss. Tumor size, tumor differentiation, number of harvested lymph nodes, resection margin and pathologic T, N, TNM stage was similar between the groups. There was no significant difference in overall perioperative complications. Uni- and multivariate analyses revealed that SILS + 1 was not a risk factor for complications. Postoperatively, SILS + 1 group showed faster recovery than CLS group in terms of ambulation, bowel function, oral intake and discharge. The 3-year disease-free survival rates of SILS + 1 and CLS groups were 90.1% and 87.3%(p = 0.59), respectively and the 3-year overall survival rates were 93.3% vs. 89.8%(p = 0.172).
Discussion
Our study revealed that SILS + 1 is safe, feasible, oncologically efficient, and may be considered as a surgical option for selected patients with colorectal cancer.
Impact of ultrasound-assisted treatment on the physicochemical and structural properties of parboiled rice resistant starch with different amylose content
Authors: Shah Alia , Wu Zeyu , Qiang Ding , Zhang Wencheng , Cao Shuqing , Wang Yunchun 
Published: November 2022

Abstract
The impact of ultrasound-assisted treatment on the physicochemical and structural properties of two rice cultivars (Indica and Japonica) starch was examined. Ultrasound-assisted treatment significantly increases the resistant starch yield (28.58% and 18.25%) for Indica and Japonica respectively. Ultrasound-assisted treatment remarkably improved amylose content and exhibited higher solubility and swelling power. The scanning electron microscopy, particle size distribution, Fourier transform infrared spectroscopy, X-ray diffraction, and differential scanning calorimetry results revealed that ultrasound-assisted parboiled rice starch had a larger granule size with increased roughness, showed higher crystallinity, exhibited more stability, and ordered double-helix structure. The present study provides a theoretical foundation for the preparation of highly resistant starch parboiled rice using ultrasound-assisted treatment. This study will help to develop and facilitate the use of ultrasound chemistry in starch science and technology.
Predictive models for health-related quality of life built on two telemonitoring datasets
Authors: Tashkovska Matea , Krsteski Stefan , Kizhevska Emilija , Valič Jakob , Gjoreski Hristijan , Luštrek Mitja 
Published: November 2022

Abstract
Congestive heart failure (CHF) is an incurable disease where a key objective of the treatment is to maintain the patient's quality of life (QoL) as much as possible. A model that predicts health-related QoL (HRQoL) based on physiological and ambient parameters can be used to modify these parameters for the patient's benefit. Since it is difficult to predict how CHF will progress on an individual basis, in this study we tried to predict HRQoL for a particular patient as an individual, using two different datasets, collected while telemonitoring CHF patients. We used different types of imputation, classification models, number of classes, evaluation techniques, etc. for both datasets, but the main focus is on unifying the datasets, which allowed us to build cross-dataset models. The results showed that using general predictive models intended for previously unseen patients does not work well, but personalization significantly improves the prediction, both personalized models and personalized imputation, which is important due to many missing data in the datasets. However, this means that applications using such predictive models would also need to collect some labels of HRQoL to be able to help patients effectively.
Association of serum albumin levels and long-term prognosis in patients with biopsy- confirmed nonalcoholic fatty liver disease
Authors: Takahashi Hirokazu , Kawanaka Miwa , Fujii Hideki , Iwaki Michihiro , Hayashi Hideki , Toyoda Hidenori , Oeda Satoshi , Hyogo Hideyuki , Morishita Asahiro , Munekage Kensuke , Kawata Kazuhito , Tsutsumi Tsubasa , Sawada Koji , Maeshiro Tatsuji , Tobita Hiroshi , Yoshida Yuichi , Naito Masafumi , Araki Asuka , Arakaki Shingo , Kawaguch Takumi , Noritake Hidenao , Ono Masafumi , Masaki Tsutomu , Yasuda Satoshi , Tomita Eiichi , Yoneda Masato , Tokushige Akihiro , Kamada Yoshihiro , Ueda Shinichiro , Aishima Shinichi , Sumida Yoshio , Nakajima Atsushi , Okanoue Takeshi 
Published: November 2022

Abstract
Background: The relationship between baseline serum albumin level and long-term prognosis of patients with nonalcoholic fatty liver disease (NAFLD) remains unknown.
Methods:This is a sub-analysis of the CLIONE (Clinical Outcome Nonalcoholic Fatty Liver Disease) study. The main outcomes were: death or orthotopic liver transplantation (OLT), liver-related death, and liver-related events (hepatocellular carcinoma [HCC], decompensated cirrhosis, and gastroesophageal varices/bleeding).
Results:1,383 Japanese patients with biopsy-confirmed NAFLD were analyzed. They were divided into 3 groups based on serum albumin: high (>4.0 g/dL), intermediate (3.5–4.0 g/dL), and low (<3.5 g/dL). Unadjusted hazard ratio [HR] of the intermediate albumin group, compared with the high albumin group, were 3.6 for death or OLT, 11.2 for liver-related death, 4.6 for HCC, 8.2 for decompensated cirrhosis, and 6.2 for gastroesophageal varices (all risks were statistically significant). After adjusting confounding factors, albumin remained significantly associated with death or OLT (intermediate vs high albumin group: HR 3.06, 95% confidence interval[CI] 1.59–5.91, P< 0.001; low vs high albumin group: HR 22.9, 95% CI 8.21–63.9, P< 0.001).
Conclusions: Among biopsy-confirmed NAFLD patients, those with intermediate or low serum albumin had a significantly higher risk of death or OLT than those with high serum albumin.
Evaluating the Adulteration of Sodium Benzoate and Potassium Sorbate in tomato paste on the physicochemical properties of the tomato paste using an olfactory machine and artificial intelligence
Authors: sadriyan Sanaz , Kia Hossein Javadi , nategh nahid aghili , naderloo leila , sharifi Rouhallah 
Published: November 2022

Abstract
Tomato is the second most important product consumed worldwide. Since tomato paste is considered the most important seasoning in food, its quality and safety are of particular importance. The present study aims to investigate adulteration in tomato paste. To this aim, an olfactory machine system based on 10 gas sensors was used, and its potential to detect different levels of adulteration of sodium benzoate and potassium sorbate at 0, 0.05, and 0.1% in tomato paste was assessed. The effect of these preservatives on some physicochemical properties of tomato paste, such as pH, total soluble solid (TSS), precipitate weight ratio, and acidity, was also investigated. The results indicated that both preservatives in tomato paste significantly affected all its physicochemical parameters at the 1% significance level. The confusion matrix results showed that the LDA method has a high performance in detecting different percentages of preservatives with 100% accuracy. C-SVM and PCA were also recognized as suitable and accurate methods for detecting samples containing sodium benzoate and potassium sorbate at 0.05% and 0.1%. The results of the loading chart indicated that TGS2620, MQ135, and TGS2602 sensors were the most sensitive sensors in detecting adulterated tomato paste samples. Also, according to the results of predicting physicochemical parameters, PCR and MLR models were the most appropriate models to predict acidity and precipitate weight ratio, Brix, and pH, respectively. Overall, it can be stated that the electronic nose is an appropriate tool to detect food adulteration in all adulteration types, thereby saving substantial time and money.
Molecular Docking, Antimicrobial, Anticancer Effect of Schiff Base Ligand and Its Co (II), Ni (II), Cu (II) and Cd (II) Complexes
Authors: Arumugam A P , Elango G , Guhanathan S 
Published: November 2022

AbstractThe objective of the present study is to evaluate the molecular docking, antimicrobial, anticancer activity of the Schiff based Cobalt (II), Nickel (II), Copper (II) and Cadmium (II) complexes derived from 3, 4 – diamino benzophenone, salicylaldehyde and glutaric anhydride. The Schiff base ligand and their complexes have been further identified by1H NMR,13C NMR. All the Schiff base metal complexes have been screened for their Antimicrobial and anticancer effect. The anticancer activity was studied using MTT assay which showed that the increase in concentration of compound increases the cell death. At 7.8 µg/ml concentration there is an increased anticancer activity, i.e., around more than 97% of cell inhibition. The results of anticancer activity may be positively correlated.
Ɛ-Polycaprolactone degradation by a thermostable lipase isolated from Brevibacillus thermoruber strain 7
Authors: Boyadzhieva Ivanka , Atanasova Nikolina , Paunova-Krasteva Tsvetelina , Kambourova Margarita 
Published: November 2022

Abstract
An exponentially increasing accumulation of plastic wastes in the environment represents one of the biggest problems of our society that could be resolved by a biodegradation by enough effective degraders and their enzymes. The high catalytic rates of thermophilic enzymes, their thermostability and temperature optimum close to the melting points of some plastics determine thermophiles as a promising way for resolving the problem. In the present work we report on the ability of a thermophilic lipase by Brevibacillus thermoruber strain 7 to degrade Ɛ-polycaprolactone (PCL), the enzyme purification, characterization of its physico-chemical properties, degradation products and its disruptive effect on PCL. The pure enzyme showed a temperature optimum at 55°C and pH 7.5, its half life at 60°C was more than five hours. Its substrate specificity referred the enzyme to the subgroup of lipases in the esterase group. The strong inhibitory effect was observed by detergents, inhibitors and Fe3+, while Ca2+ enhanced its activity. The monomer Ɛ-caprolactone was a main product of the enzyme degradation. The similar elution profiles of the products received after treatment with ultraconcentrate and pure enzyme were observed. The significant changes of PCL appearance comprising the formation of shallower or deeper infolds were observed after week incubation. The high temperature optimum in a large pH area, its thermostability and PCL degradation to its monomer suggest a possible exploration of the enzyme for an effective and environment friendly degradation of PCL wastes.
Design Serious Game For Automatic Optimization Production Based on Blockchain
Authors: Putri Astrid Novita , Hariadi Mochamad , Fuad Reza 
Published: November 2022

Abstract
Indonesian agricultural production is unpredictable. The harvest quality causes this is not-optimal harvest quality. The researchers provide a solution by utilizing a severe game design model as a learning medium to make decisions for optimizing production. In comparison, Blockchain technology is for data security, Distributed ledgers and Smart Contracts. The transaction between producers and consumers are permanent and verified. For the literature study of optimization to maximize farmers' production, the researchers use Simplex Method as an objective function and the Pareto function as an optimization model for multiple problems by finding solutions for all purposes to improve farmers' production. Multi-Objective Optimization, Linear Programming, Blockchain, and Hierarchical State Finite Machine are needed to design a serious game. This study designed Hierarchical State Finite Machine Serious Game using Blockchain and Multi-Objective Optimization method as a learning medium to simulate farmers making decisions In producing agricultural quantities based on consumer demand, stock, price, season, and planting time. Blockchain is used to track the availability of farm stocks so that the supply of consumer needs is met.
Isolation and Characterization of Lysinibacillus Sphaericus as Potential Bacteria for Toxic Metals Bioremediation in Industrial Wastewater of Western Himalayan Region
Authors: Rana Kavita , Aggarwal R K , Bhardwaj S K , Chauhan Anjali 
Published: November 2022

Abstract
The discharge of industrial waste effluent contains toxic substances which cause serious threat to human health as well as environment. The present study was conducted to determine the isolation and characterization of heavy metal removing Bacteria and its efficacy for removing Pb, Cd, Cu and Ni toxicity. In this study, wastewater samples were collected from different contaminated industrial sites in western Himalayan region. The isolate was recovered on nutrient agar plate supplemented with different concentration of Pb, Cd, Cu and Ni by the standard pour plate method. The isolated strain was characterized on the basis of morphological and biochemical test. The strain was identified as Lysinibacillus sphaericus. After identification heavy metal removal efficacy of the bacterial isolate for lead was 100% (1or 3ppm), 95% (5ppm), 90% (7ppm) and 85% (10 ppm). Heavy metal removal efficacy of the bacterial isolates for Cd was 100% (1ppm, 3ppm), 95% (5 and 7ppm) and 90% (10ppm). Heavy metal removal efficacy of the isolated bacteria for Ni was 100% (1ppm), 96% (3ppm), for 5ppm it removes 92%, 89% at 7ppm and at 10ppm the removal efficacy is 85%. Heavy metal removal efficacy of the isolated bacteria for Cu was 100% at 1ppm concentration, 98% at 3ppm, 94% at 5ppm, 91% at 7ppm and 88% at 10 ppm. The nucleotide sequences of Lysinibacillus sphaericus generated through 16S rDNA technique, the accession number provided to the bacterial sequence is OM904067. This strain was best for heavy metal tolerance and for bioremediation of heavy metal polluted environment.
Effect of humidity on formaldehyde oxidation over Ce0.8Zr0.2Oy catalyst
Authors: 刘 巷 , Liu Tiancheng , Wang Fang , Jia Lijuan , Chang Yu , Qin Gaoyuan , Yang Zonglin 
Published: November 2022

Abstract
The humidity of indoor air greatly affects the effect of
formaldehyde removal by catalyst.Herein, we chose the
Ce0.8Zr0.2Oy catalyst catalytic
oxidation to remove formaldehyde and investigated the effect of
humidity on catalyst activity by adjusting moisture content in this
process. The experimental results showed that the formaldehyde
removal rate increased with the increase of humidity, but when the
humidity was greater than 50%, the formaldehyde removal rate
decreased by 3%. Characterization results illustrated that humidity
was conducive to the activation of oxygen and the generation of
hydroxyl, both of which promoted the formation and oxidative
decomposition of intermediates, but also prevented their
deposition,blocking the pore, so that more formaldehyde was
adsorbed and oxidized, thus improving the activity of the
catalyst.This provide a new mechanism for the oxidation of
formaldehyde and help to design relatively cheap formaldehyde
purification materials.
Effects of maize variety on the structure of maize phyllosphere fungal communities
Authors: Wang Xiangmei , Wang Chaoyan , Chen Ru , Wang Wenxing , Tian Xueliang , Wang Diandong 
Published: November 2022

Abstract
It is well known that plant genotype can regulate phyllosphere fungi at the species level. However, little is known about how plant varieties shape the fungal communities in the phyllosphere. In this study, four types of maize varieties with various levels of resistances to Exserohilum turcicum were subjected to high‑throughput sequencing to reveal the properties that influences the composition of phyllosphere fungal communities. The dominant fungi genera for all four maize varieties were Alternaria at different relative abundances, followed by Nigrospora. Hierarchical clustering analysis, non-metric multidimensional scaling and similarity analysis confirmed that the fungal communities in the phyllosphere of the four varieties were significantly different and clustered into the respective maize variety they inhabited. Maize leaf chemical constituents (nitrogen, phosphorus, tannins and flavonoids), were the main contributors in structuring the phyllosphere fungal communities. The co-occurrence network of the fungal communities in the phyllosphere of highly resistant variety had higher complexity, integrity and stability compared to others maize varieties. In a conclusion, maize variety resistance and leaf chemical constituents play a major role in shaping the phyllosphere fungal community. The work proposes a link between the assembled fungal communities within the phyllosphere with maize variety that is resistant to pathogenic fungi infection.