bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probabilistic fuzzy set and particle swarm optimization based computational method for fuzzy time series forecasting
Authors: Pant Manish , Kumar Sanjay 
Published: April 2023

Abstract

Computational methods for time series forecasting have always an edge over conventional methods of forecasting due to their easy implementation and prominent characteristics of coping with large amount of time series data. Many computational methods for fuzzy time series (FTS) forecasting have been developed in past using fuzzy set, intuitionistic fuzzy set (IFS), and hesitant fuzzy set (HFS) for incorporating uncertainty, non-determinism, and hesitation in time series forecasting. Since probabilistic fuzzy set (PFS) incorporates both probabilistic and non-probabilistic uncertainties simultaneously, we have proposed PFS and particle swarm optimization (PSO) based computational method for FTS forecasting. First, we have developed a PFS based computational method for FTS forecasting and then it is integrated with PSO to enhance the accuracy in forecasted outputs. Unlike other PSO based for FTS forecasting method, PSO is used to optimize both number of partitions and length of intervals. Three diversified time series data of enrolments of the University of Alabama, market price of State Bank of India (SBI) share at Bombay stock exchange (BSE) India, and death cases due to COVID-19 in India are used to compare the performance of PFS based computational method of FTS forecasting before and after its integration with PSO in terms of root mean square error (RMSE). After integration of PFS based computational method with PSO, accuracy in the forecasted outputs is increased significantly and its performance is found better than many other existing FTS forecasting methods. Goodness of the proposed FTS forecasting method is also tested using tracking signal and Willmott index.
Cardiac-specific Knockdown of DEC1 Regulated Pressure Overload-induced Cardiac Hypertrophy and Remodeling by Directly Inhibiting the Expression of PTEN
Authors: Bi Hai-Lian , Xie Xin , Ren Kai-Wen , Yang Xiao-Lei , Jia Qing-Xia , Wang Shi-Hao , Li Hui-Hua , Yu Xiao-Hong 
Published: April 2023

Abstract
Sustained cardiac hypertrophy is the onset of maladaptive myocardial remodeling and is a major cause of heart failure and sudden death. Recent studies have revealed that differentiated embryonic chondrocyte gene 1 (DEC1), a key transcription factor, is implicated in inflammation, hypoxia, viral infection, and tumors. However, its role and the molecular mechanism in cardiac hypertrophy and remodeling have not been fully elucidated. Here, our results showed that DEC1 was significantly upregulated in agonist-stimulated primary cardiomyocytes, in hypertrophic mice hearts and in human failure hearts. Cardiac specific knockdown of DEC1 using rAAV9 significantly attenuated TAC-induced cardiac hypertrophy and remodeling. Mechanistically, DEC1 bound directedly to the promoter region of PTEN, inhibited the transcriptional expression of PTEN, which subsequently increased the activation of AKT and its relative signaling pathway (including mTOR, NF-κB, and SMAD2), thereby causing cardiac hypertrophy, fibrosis, and inflammation. Furthermore, administration of the PTEN inhibitor VO-OHpic markedly reversed DEC1 knockdown-mediated attenuation of cardiomyocyte hypertrophy and cardiac remodeling. This is the first study to suggest that DEC1 regulates cardiac hypertrophy and remodeling by suppressing the expression of PTEN, and DEC1 may be a new therapeutic target for hypertrophic heart diseases.
Genomic Profiling of NGS-based ctDNA from Chinese Non-Small Cell Lung Cancer Patients
Authors: Xi Yanfeng , Bai Zhongyuan , Gao Sihang , Guo Jianghong , Zhang Zhen , Zhang Hongling , Qu Li , Xu Bing , Wang Weiwei , Shan Guangyu , Cui Wei , Bai Wenqi , Ji Xiaoyong 
Published: April 2023

Abstract
Purpose: Cell-free circulating tumor DNA (ctDNA) in plasma enables rapid and repeat testing of actionable mutations. Next-generation sequencing (NGS) is an attractive platform for multiplex sequencing capabilities compared to traditional methods such as PCR. The purpose of this study is to evaluate the value of the NGS-based ctDNA assay and to identify the genomic alteration profile of ctDNA in real-world Chinese non-small cell lung (NSCLC) patients.
Methods: In total, 294 Chinese patients with pathological diagnosis of Phase III-IV NSCLC were enrolled. 3-4mL peripheral blood was collected and NGS-based analysis was carried out using a 20-gene panel. The analytical sensitivity and specificity of ctDNA NGS-based assay was validated using droplet digital PCR (ddPCR).
Results: We have tested 570 sites from 286 samples using ddPCR, which included 108 positive sites and 462 negative sites from NGS results, and the concordance rate was 99.8% (418/419) for single-nucleotide variants (SNVs) and 96.7% (146/151) for insertions and deletions (InDels). The most frequent genes were TP53 (32%), EGFR (31.97%), KRAS (6.46%), PIK3CA (4.76%), and MET (4.08%). Exon 19 deletion (19del) was the most common alteration in EGFRand G12C was the most common alteration in KRAS. Furthermore, the detection rate of TP53was higher in the male and patients with squamous cell carcinoma. We also found the prevalence of TP53 in L858R was higher than in 19del (61.29% vs. 40%; p=0.1115).
Conclusion: The results indicate that the results of NGS-based ctDNA assay are highly consistent with ddPCR. In Chinese NSCLC patients, TP53 mutation was more frequently associated with male and squamous cell carcinoma. The prevalence of concomitant mutations in L858R may be different from that in 19del.
A Cross-sectional study on the impact of pre-operative anxiety and associated factors on intraoperative hypotension in women undergoing cesarean section under spinal anesthesia in resource-limited setting
Authors: Gebeyehu Geresu , Daniel Tenbite , Getu Abdukadir , Samuel Hirbo 
Published: April 2023

Abstract
Background: Hypotension after spinal anesthesia was very common in parturient who underwent cesarean section. There were multitude of contributing factors identified in the past. Evidences justifying perioperative anxiety on women giving birth under spinal anesthesia were lacking. This study determined the effect of preoperative anxiety and related factors on intraoperative hypotension in parturient undergoing cesarean section under spinal anesthesia in resource constrained settings.
Methods: A cross-sectional study was conducted on 204 parturient that underwent cesarean section under spinal anesthesia in Gandhi Memorial Hospital from January to March 30/2022. The data collected include socio-demographic data, obstetric characteristics, status of pre-operative anxiety, and intraoperative hypotension. Binary and multivariate logistic regressions were conducted to determine the causative effect of preoperative anxiety and related factors on the degree of hypotension after inducing spinal anesthesia. Variables with a p<0.05 were considered statistically significant.
Results: preoperative anxiety was observed in 45.6% of women that delivered their baby under spinal anesthesia. Anxiety (AOR:2.473, 95% CI; 1.271-4.813, P=0.02), age<25 years old (AOR:3.75, 95% CI ;1.066-13.193, P=0.039), maternal weight<60 kg (AOR: 2.154, 95 % CI ;1.000-4.638, p=0.050) and anesthesia given by less experienced anesthetists (AOR: 3.701, 95 %CI ;1.318-10.388, p=0.013) were factors associated with hypotension after spinal anesthesia in parturient.
Conclusion: this study justified that preoperative anxiety had a significant role in contributing for hypotension after spinal anesthesia in cesarean delivery. Thus, anesthetists should focus on relieving perioperative stress, and appreciate the other identified factors and make necessary considerations when introducing spinal anesthesia in parturient undergoing cesarean delivery.
Registration-this study was registered at research registry with unique ID researchregistry8278 and available at https://www.researchregistry.com/browse-the-registry#home/
Agrobacterium-mediated transformation and gene editing of kohlrabi ( Brassica oleracea var. gongylodes )
Authors: Mikhaylova Elena V. , Musin Khalit , Panfilova Maria , Khusnutdinov Emil , Kuluev Bulat 
Published: April 2023

Abstract
Brassica oleracea var. gongylodes (kohlrabi) is an economically important vegetable with edible stems. Due to the complicated in vitro regeneration, biotechnological cultivars with useful traits do not yet exist. This plant have never been subjected to genetic transformation of any kind. Therefore, the development of appropriate methods is an important task of modern plant science. A genetic construct targeting BoCPC gene have been introduced to Agrobacterium tumefaciens strain Agl0 in order to produce knockout mutants of kohlrabi. Addition of AgNO3 to the culture medium allowed to reduce browning after inoculation. Three glufosinate-resistant, PCR-positive transformants were obtained from cultivar Vienna White. In two of them expression level of target gene was significantly reduced. The described protocol allows for genetic transformation and genome editing of kohlrabi. This research opens up prospects for generation of new cultivars with improved agricultural traits such as stress tolerance, increased yields and altered metabolite content. According to the results of various studies, Vienna White can be used as a model cultivar of kohlrabi.
Ecosystem Services Valuation of Dry Afromontane Forests Using Optical Remote Sensing in Tigray–northern Ethiopian Highlands
Authors: Gidey Eskinder , Gidey Medhn , Birhane Emiru , Tadesse Tewodros , Rannestad Meley Mekonen , Mhangara Paidamwoyo , Hishe Solomon , Girma Atkilt , Teweldebirhan Sarah , Dikinya Oagile , Lottering Romano , Georgis Tsegay Wolde– , Nasir Jemal , Zenebe Amanuel 
Published: April 2023

Abstract

Global forest area is projected to decline gradually, which may affect the existing ecosystem services (ESs) and the ecological and economic benefits of these services. We analyzed the ESs provision value of the Hugumburda State Forest (HSF) and the Southern Tigray–northern Ethiopian highlands, which was based on optical remote sensing, Ecosystem Services Provision Index (ESPI), and the revised ESs valuation coefficients under different scenarios and ecosystem services value function (ESVf). The forest coverage of HSF is anticipated to increase by 19.1 Km2 (3.8%) until 2030 from its earlier coverage of 88.6 Km2 in the year 2020. As a result, ecosystem services value (ESV) provisions are expected to increase, sustain, and improve the local community's well–being by 1.88 million US$ ha–1 year–1. We also found a significant relationship between ESV of forestland, shrub land, arable land, grassland, water body and their area expansion (p < 0.01). The ESPI showed a higher value in the forest & grassland areas (0.38), whereas lower in water bodies (–0.51). HSF provides higher regulating services than provisioning, supporting and cultural services. The combined use of optical remote sensing and ESPI is essential for developing a cost-effective ESs provision management framework regarding environmental and social benefits.
Contemporary Outcomes in Fetuses Diagnosed with Vascular Rings
Authors: Milligan Ian , Border William , Sachdeva Ritu , Michelfelder Erik 
Published: April 2023

Abstract
Vascular rings are increasingly identified onfetal echocardiography. The purpose of this study is to analyze clinical outcomes and patterns of diagnostic testing in fetuses with vascular rings diagnosed by fetal echocardiography. A retrospective cohort study was performed of fetuses with postnatally confirmed vascular rings from 2017– 2022. Clinical outcomes included type and timing of symptoms, and timing of surgical intervention. Freedom from symptoms and/or surgery was assessed by Kaplan-Meier analysis. Frequency of genetic and diagnostic testing (barium esophagogram, CT/MRI angiogram, and bronchoscopy) was also assessed. Overall, 46 patients were evaluated (91% with a right aortic arch/left ductus and 4% with a double aortic arch). A vascular ring was isolated in 59%, associated with structural heart lesions in 33%, and associated with noncardiac anomalies in 8%. Prenatal diagnoses increased over time. Symptoms developed in 24%; 81% had respiratory and 45% had gastroesophageal complaints. Surgery was performed in 17%. Symptoms presented bimodally, prior to 100 or after 400 days of life. There was no difference in the type of symptoms for early (<100 days) or late (>400 days) presenters. Symptomatic patients received more diagnostic testing. Genetic testing was obtained in 46% and positive in 33%, with 22q11 deletion and Trisomy 21 being identified. Prenatal diagnoses of vascular rings increased over time, with 24% developing symptoms and 17% requiring surgery. Subjects developed symptoms bimodally in early or late infancy. The frequency of genetic testing was suboptimal for the frequency of genetic abnormalities seen.
Application, Utilization and Uptake of Artificial Insemination Technology to Smallholder Farmers in the Traditional Agro-Pastoral Livestock Farming System: A Case of Mpwapwa District in the Central Zone of Tanzania
Authors: Kabuni Kabuni Thomas 
Published: April 2023

Abstract
Cattle breeding in the central zone of Tanzania is largely by unproven homebred bulls, with very limited use of artificial insemination (AI). Hence, beef herds in the region remain largely unimproved, with relatively low genetic merit and productivity. An outreach program was developed by the Tanzania Livestock Research Institute (TALIRI) to pilot AI service delivery to smallholder farmers in the central zone of Tanzania, with the objectives of: identifying the processes required to develop an AI service; and improving farmers’ understanding of the potential benefits to their herds through using AI. Smallholder farmers (100) in the Mpwapwa district of the Dodoma region of Tanzania were recruited into the program. 200 cows were involved in the programme composed of the following breeds: Mpwapwa (100), Tanzania Short-horned Zebu (70) and Boran (30). The AI bulls used were from Mpwapwa and Boran breeds kept at the National Artificial Insemination Centre (NAIC) in Tanzania, selected based on pedigree information and growth performance. All cows were synchronized prior to AI using a prostaglandin (PG)-based programme. Of the 200 cows, 110 cows were inseminated following oestrus observed after 1st PG, with 90 non-responding cows receiving a 2nd PG injection at day 11 with fixed time AI (FTAI) 72 hours later. Of the 200 cows, 110 (55%; 95%CI 48-62%) became pregnant to AI. Bulls were introduced into the herd for 60 days, starting 60 days after FTAI, with 80/90 cows (89%; 95%CI 81-94%) which did not get pregnant to AI becoming pregnant during this period. For widespread uptake of AI, the following issues need to be addressed: (i) the inability of farmers to accurately detect oestrus, probably necessitating use of low-cost whole herd FTAI programs; (ii) the dearth of trained AI technicians; and (iii) low background fertility of cows.
Model-free Adaptive Trajectory Tracking Control of Robotic Manipulators with Practical Prescribed-time Performance
Authors: Huang Xiuwei , Dong Zhiyan , Yang Peng , Zhang Lihua 
Published: April 2023

Abstract

Considering accurate model information of robotic manipulators is hard to obtain in real applications, this article proposes a model-free trajectory tracking control scheme for the robotic system with input saturation, where a pre-defined tracking precision within prescribed time under any initial conditions is ensured. Firstly, to avoid a sharp corner when control input exceeds constraint, a new smooth function is used to approximate the saturated control torque and then a new robotic system model is built. Based on the rebuilt system, a time-delay estimation (TDE) method is used to estimate the lumped uncertainty containing unknown dynamics and external disturbance. Furthermore, a model-free adaptive controller is developed to ensure the tracking error converge to a preset small residual within given time, where adaptive law and auxiliary system are used to cope with the TED estimation error and control input saturation, respectively. With the developed practical prescribed-time function, there is no constraint on the initial value of the tracking error, thus global stability is guaranteed. Finally, a planar two-link robotic manipulator is simulated to show the effectiveness of the developed control scheme.
Genetic Dissection of Maize (Zea mays L.) Chlorophyll Content Using Multi-Locus Genome-Wide Association Studies
Authors: Xiong Xuehang , Li Jianxin , Su Pingping , Duan Haiyang , Sun Li , Xu Shuhao , Sun Yan , Zhao Haidong , Chen Xiaoyang , Ding Dong , Tang Jihua , Zhang Xuehai 
Published: April 2023

Abstract
Background The chlorophyll content (CC) is a key factor affecting plant photosynthetic efficiency and the final yield. However, its genetic basis remains unclear. The development of statistical methods has enabled researchers to design and apply various GWAS models, including MLM, MLMM, SUPER, FarmCPU, BLINK and 3VmrMLM. Comparative analysis of their results can lead to more effective mining of key genes.Results The heritability of CC was 0.86. Six statistical models (MLM, BLINK, MLMM, FarmCPU, SUPER, and 3VmrMLM) and 1.25 million SNPs were used for the GWAS. A total of 140 quantitative trait nucleotides (QTNs) were detected, with 3VmrMLM and MLM detecting the most (118) and fewest (3) QTNs, respectively. The QTNs were associated with 481 genes and explained 0.29%-10.28% of the phenotypic variation. Additionally, 10 co-located QTNs were detected by at least two different models or methods, three co-located QTNs were identified in at least two different environments, and six co-located QTNs were detected by different models or methods in different environments. Moreover, 69 candidate genes within or near these stable QTNs were screened based on the B73 (RefGen_v2) genome. GRMZM2G110408 (ZmCCS3) was identified by multiple models and in multiple environments. The functional characterization of this gene indicated the encoded protein likely contributes to chlorophyll biosynthesis. In addition, the CC differed significantly between the haplotypes of the significant QTN in this gene, and CC was higher for haplotype 1.Conclusion This study results broaden our understanding of the genetic basis of CC, mining key genes related to CC and may be relevant for the ideotype-based breeding of new maize varieties with high photosynthetic efficiency.
The Assessment of Methods for Preimplantation Genetic Testing for Aneuploidies Using a Universal Parameter: Implications for Costs and Mosaicism Detection
Authors: Belyaev Alexander , Tofilo Maria , Popov Sergey , Mazunin Ilya , Fomin Dmitry 
Published: April 2023

Abstract
Preimplantation genetic testing for aneuploidies (PGT-A) is used to increase live birth rates following in vitro fertilization. The assessment of different testing methods to date has relied on non-universal parameters, e.g., sensitivity, specificity that must be individually stipulated for each study, typically performed using arbitrarily selected cell lines. Here we present a robust approach that is based on assessment of the median noise in a large dataset of routine clinical samples. Raw sequencing data obtained during PGT-A testing of 973 trophectoderm biopsies was used for comparison of two methods, VeriSeq PGS (Illumina) and AB-PGT™ (AB Vector). Three times less median noise was a feature of the AB-PGT™ method; thereby, allowing the number of multiplexed samples per sequencing run to be increased from 24 with VeriSeq PGS to 72 with AB-PGT™ effectively reducing price per sample without compromising data quality. The improvement is attributed to a novel SuperDOP™ whole genome amplification technology, combined with a simplified AB-PGT™ protocol. We show that the median noise level associated with a large dataset of biopsies is a simple, universal metric for assessment of PGT-A methods which has implications for other screening methods, detection of mosaicisms and the improvement of fertility clinic practices.
Chirality-Induced Magnetization of Magnetite by an RNA Precursor
Authors: Ozturk S. Furkan , Bhowmick Deb Kumar , Kapon Yael , Sang Yutao , Kumar Anil , Paltiel Yossi , Naaman Ron , Sasselov Dimitar D. 
Published: April 2023

Abstract
Life is homochiral and homochirality is a fundamental feature of living systems on Earth. While the exact mechanism that led to homochirality is still not fully understood, any realistic scenario on the origins of life needs to address the emergence of homochirality. In order to impose and maintain chirality in a prebiotic network, an environmental factor functioning as a chiral agent is demanded. Magnetized surfaces are prebiotically plausible chiral agents, shown to be effective in enantioseparation of ribose-aminooxazoline (RAO), a ribonucleic acid (RNA) precursor, due to the chiral-induced spin selectivity (CISS) effect. As such, mechanisms for breaking the magnetic symmetry of magnetic minerals are of the utmost importance. Here we report the avalanche magnetization of magnetite (Fe3O4) by the crystallization of enantiopure RAO. The observed breaking of the magnetic symmetry is induced by the chiral molecules due to the CISS effect and spreads out across the magnetic surface like an avalanche, providing a way to uniformly magnetize a magnetic surface without fully covering it. Considered together with our previous results on enantioseparation by crystallization on a magnetic surface, chirality-induced avalanche magnetization paves the way for a cooperative feedback between chiral molecules and magnetic surfaces. With this feedback, a weak natural bias in the net magnetization can be amplified and spin-selective processes can be accommodated on magnetic minerals on a persistent basis.
ChatGPT for Arabic-English Translation: Evaluating the Accuracy
Authors: Khoshafah Faten 
Published: April 2023

Abstract
Using ChatGPT as a translator between several language pairings, including English and Arabic, has made it an invaluable resource for cross-cultural communication. However, due to the limitations, the translation outputs should be evaluated. The main aim of this article is to evaluate the translation accuracy of the ChatGPT 3.5 model. The Arabic and English texts are translated by ChatGPT, and the outputs are compared with the professional translators translations. The texts are divided into genres such as historical, literary, media, legal, and scientific. ChatGPT outputs are evaluated regarding language accuracy and meaning in the given context. The results showed that ChatGPT can be used as a translator for simple content, but human intervention is still required, especially for complex texts that ChatGPT is unable to correctly interpret. The paper also offers some recommendations for the translators and students who use ChatGPT.