bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect Of Price Policy On The Production And Breeding Of large Sheep flocks In Anbar Governorate (Al-Rutba District, an applied model)
Authors: Mahmoud A O , Khalaf M A 
Published: November 2021

Abstract
Livestock constitute an essential and important part of the agricultural sector, and sheep are the mainstay in livestock, as their products come to the fore; Being an essential source of daily food; And because they also have a high nutritional value compared to plant products, and sheep are characterized by being highly efficient in food conversion, as it was mainly relied on the data obtained from the questionnaire form, where a random sample was taken of 20 sheep breeders whose sheep number exceeds 500 head of sheep. The results of this study showed that the transfers of traded inputs (J) with a negative sign, amounting to about (-9008) thousand dinars, which indicate that the social prices of traded inputs (F) are greater than private prices (B), which means that there is real support for the inputs. Stores within the applicable policy. The transfers of local resources (K) came with a negative sign and a value of (18249-) thousand dinars, which indicates the existence of support for local resources because their value at social prices is higher than their value at private prices, meaning that the protection is negative for the local product, while between the nominal protection coefficient for traded inputs which appeared With a positive value less than the correct one, its value amounted to (0.88), which indicates that the prices of traded inputs are lower than the prices of their international counterparts, and this confirms the existence of real support provided for these inputs by the state, and the cost factor of the local resource (comparative advantage factor) also appeared. With a positive sign, its value amounted to (0.24), which means that the Iraqi product has a comparative advantage and efficiency for its local production of sheep, while between the effective protection factor, which came with a positive value, its value was (0.30), which is less than one. This means that local producers receive their returns in the event that there are The price intervention policy is less than returns in the absence of it, and it showed that it is less than the right one, that is, the commodity system loses its profits in favor of other sectors.
Assessment of the productive traits of several Flax cultivars by effect of sowing dates
Authors: Drej M M , Noaman A H 
Published: November 2021

Abstract
A field experiment was carried out in Zakhikha village in Heet district, Anbar governorate – Iraq during the winter season 2020-2021 in order to study the effect of sowing dates on the growth and yield of five cultivars of flax. The experiment was applied by arranging the split plots according to the randomized complete block design (RCBD) and with three replications, main plots included four sowing dates (15th October, 1st November, 15th November and 1st December), while the secondary plots were filled with (Sub-plots). Five types of flax (Sakha1, Sakha4, Sakha5, Sakha6, and local). The most important results are summarized as follows: Sakha6 was superior in most of the studied traits, with both the highest values for plant height, number of fruiting branches, number of capsules per plant, weight of 1000 seeds, and seed yield reached 109.40 cm, 21.02 branch plant -1, 62.32 capsule plant-1, 7.83 g and 2.377 ton ha-1, except for characteristic of the number of seeds per capsule in which the variety Sakha5 outperformed, recording 8.63 seeds capsule-1. The plants sown on the date 15 th November outperformed in the number of fruiting branches, the number of capsules per plant, the weight of 1000 seeds, and the grain yield reached 20.26 branches plant-1, 64.18 capsules plant -1, 7.07 g and 2.402 ton ha-1, while the plants of the first date of 15 th October outperformed with the highest in all these The average plant height trait was 131.17 cm, while the 1st December plants outperformed with the highest average number of seeds per capsule amount to 8.24 seeds per capsule-1.
The effect of using Rice bran with enzymes on the production performance of turkey
Authors: AL-Doori A D , Allaw A A 
Published: November 2021

Abstract
This study was conducted in the poultry field of the Department of Animal Production at the University of Tikrit, Faculty of Agriculture, and the aim of this study was to know the effect of using rice bran at a rate of (0, 15, 20%) with and without adding a mixture of enzymes containing amylase, protease and cellulose by 0.5 g/kg in turkey rations for a period of 10 weeks, 120 unsexed Bronze turkeys were used. The birds were distributed into six treatments, each treatment included four replicates (cage) five birds. The results showed a significant superiority (P ≤ 0.05). For the second treatment (0 % rice bran + 0.5 g/kg mixture of enzymes) in live body weight, weight gain, feed conversion efficiency, while it was significantly (P ≤ 0.05) superior to the sixth treatment (20% rice bran + 0.5 g/kg mixture of enzymes) In feed consumption compared to the third treatment, and there were no deaths in any of the study treatments throughout the experiment period.
Influence of fluorescent pigments on the spectral characteristics of luminous coated fabrics
Authors: Li Jing , Zhu Yanan , Ge Mingqiao 
Published: November 2021

Abstract
In recent years, luminous coated fabrics based on SrAl2O4: Eu2+, Dy3+ luminescent materials have attracted more attention. However, due to the single emission color of SrAl2O4: Eu2+, Dy3+ luminescent materials, the application of prepared coated fabrics has certain liminations. Therefore, at present, there is a need to develop a kind of luminous coated fabric which has the capability of emitting multiple colors of light. In this work, fluorescent pigments and SrAl2O4: Eu2+, Dy3+ luminescent materials were added to a coating slurry and uniformly coated over a woven fabric substrate. The effects of adding fluorescent pigments on the spectral characteristics of luminous coated fabrics were evaluated. The blue fluorescent pigment causes a significant blue shift in the emission spectrum of the blue light-emitting coated fabric, whereas the emission spectra of the orange and red light-emitting coated fabrics exhibit a significant red shift. The yellow-green fluorescent pigments significantly affect the coated fabric. The emission spectrum shows no evident change and is similar to the emission spectrum of white (without any fluorescent pigment) luminescent coated fabric. The afterglow brightness of the colored luminous coated fabrics decreases exponentially with time. Adding blue fluorescent pigments has a greater impact on the brightness of the coated fabrics. The initial brightness is lower and the afterglow brightness loss is higher when using yellow-green fluorescence. The pigment has little effect on the brightness loss of coated fabrics, and the initial brightness of the coated fabric increases when adding yellow-green fluorescent pigments. Fluorescent pigments result in relatively low color purity for each colored coated fabric. However, the color rendering index is high, and the color rendering performance for the light source is excellent.
Association of rhythm control with incident dementia among patients with atrial fibrillation: a nationwide population-based cohort study
Authors: Kim Daehoon , Yang Pil-Sung , You Seng Chan , Sung Jung-Hoon , Jang Eunsun , Yu Hee Tae , Kim Tae-Hoon , Pak Hui-Nam , Lee Moon-Hyoung , Lip Gregory Y H , Joung Boyoung 
Published: November 2021

AbstractBackgroundAtrial fibrillation (AF) increases the risk of dementia, and catheter ablation of AF may be associated with a lower risk of dementia. We investigated the association of a rhythm-control strategy for AF with the risk of dementia, compared with a rate-control strategy.MethodsThis population-based cohort study included 41,135 patients with AF on anticoagulation who were newly treated with rhythm-control (anti-arrhythmic drugs or ablation) or rate-control strategies between 1 January 2005 and 31 December 2015 from the Korean National Health Insurance Service database. The primary outcome was all-cause dementia, which was compared using propensity score overlap weighting.ResultsIn the study population (46.7% female; median age: 68 years), a total of 4,039 patients were diagnosed with dementia during a median follow-up of 51.7 months. Rhythm control, compared with rate control, was associated with decreased dementia risk (weighted incidence rate: 21.2 versus 25.2 per 1,000 person-years; subdistribution hazard ratio [sHR] 0.86, 95% confidence interval [CI] 0.80–0.93). The associations between rhythm control and decreased dementia risk were consistently observed even after censoring for incident stroke (sHR 0.89, 95% CI 0.82–0.97) and were more pronounced in relatively younger patients and those with lower CHA2DS2-VASc scores. Among dementia subtypes, rhythm control was associated with a lower risk of Alzheimer’s disease (sHR 0.86, 95% CI 0.79–0.95).ConclusionsAmong anticoagulated patients with AF, rhythm control was associated with a lower risk of dementia, compared with rate control. Initiating rhythm control in AF patients with fewer stroke risk factors might help prevent subsequent dementia.
Theory of local k-mer selection with applications to long-read alignment
Authors: Shaw Jim , Yu Yun William 
Published: November 2021

Abstract

Motivation
Selecting a subset of k-mers in a string in a local manner is a common task in bioinformatics tools for speeding up computation. Arguably the most well-known and common method is the minimizer technique, which selects the ‘lowest-ordered’ k-mer in a sliding window. Recently, it has been shown that minimizers may be a sub-optimal method for selecting subsets of k-mers when mutations are present. There is, however, a lack of understanding behind the theory of why certain methods perform well.

Results
We first theoretically investigate the conservation metric for k-mer selection methods. We derive an exact expression for calculating the conservation of a k-mer selection method. This turns out to be tractable enough for us to prove closed-form expressions for a variety of methods, including (open and closed) syncmers, (a, b, n)-words, and an upper bound for minimizers. As a demonstration of our results, we modified the minimap2 read aligner to use a more conserved k-mer selection method and demonstrate that there is up to an 8.2% relative increase in number of mapped reads. However, we found that the k-mers selected by more conserved methods are also more repetitive, leading to a runtime increase during alignment. We give new insight into how one might use new k-mer selection methods as a reparameterization to optimize for speed and alignment quality.

Availability and implementation
Simulations and supplementary methods are available at https://github.com/bluenote-1577/local-kmer-selection-results. os-minimap2 is a modified version of minimap2 and available at https://github.com/bluenote-1577/os-minimap2.

Supplementary information
Supplementary data are available at Bioinformatics online.
Prognostic role of selection criteria for liver transplantation in patients with hepatocellular carcinoma: a network meta-analysis
Authors: Lozanovski Vladimir J , Ramouz Ali , Aminizadeh Ehsan , Al-Saegh Sadeq Ali-Hasan , Khajeh Elias , Probst Heike , Picardi Susanne , Rupp Christian , Chang De-Hua , Probst Pascal , Mehrabi Arianeb 
Published: November 2021

Abstract

Background
Patients with hepatocellular carcinoma (HCC) are selected for transplantation if they have a low tumour burden and low risk of recurrence. The morphometric Milan criteria have been the cornerstone for patient selection, but dynamic morphological and biological tumour characteristics surfaced as an encouraging tool to refine the selection of patients with HCC and to support the expansion of the Milan criteria. The outcomes of the most prevalent models that select patients with HCC for liver transplantation were analysed in this study, which aimed to identify the selection model that offered the best recurrence-free and overall survival after transplantation.

Methods
Studies that compared Milan, University of California San Francisco (UCSF), up-to-seven (UPTS), alpha-fetoprotein (AFP), and MetroTicket 2.0 (MT2) models were included. One-year, 3-year, and 5-year recurrence-free and overall survival rates of patients selected for transplantation using different models were analysed.

Results
A total of 60 850 adult patients with HCC selected for liver transplantation using Milan, UCSF, UPTS, AFP, or MT2 criteria were included. Patients selected for transplantation using the MT2 model had the highest 1-, 3-, and 5-year recurrence-free survival. In addition, patients selected for transplantation using MT2 criteria had the best 1- and 3-year overall survival, whereas patients selected for transplantation using the Milan criteria had the best 5-year overall survival rates.

Conclusion
The MT2 model offered the best post-transplant outcomes in patients with HCC, highlighting the importance of considering tumour morphology and biology when selecting patients with HCC for liver transplantation.
Pulmonary Lung Nodule Detection from Computed Tomography Images Using Two-Stage Convolutional Neural Network
Authors: Jain Sweta , Choudhari Pruthviraj , Gour Mahesh 
Published: November 2021

AbstractLung cancer is one of the leading causes of cancer-related death in people all over the world. Lung cancer screening is a crucial part of the diagnosis of cancer. The initial sign of lung cancer is the pulmonary nodules that can be detected based on the computed tomography (CT) scan images. In some cases, the nodules are not obvious and may take a trained eye and a considerable amount of time to detect. The automatic detection of the nodules can save considerable time and money, thus opening prescreening accessibility, ultimately saving lives. Hence, a two-stage convolutional neural network (CNN) model is proposed to segment and detect pulmonary lung nodules from CT scan images. In the first stage, we have used U-net for nodule segmentation, and in the second stage, a CNN model is designed to reduce the false positives (FPs) generated in the previous stage, which enhances the overall efficiency and correctness of the system. The proposed method’s performance is evaluated on the publicly available Lung Image Database Consortium and Image Database Resource Initiative dataset. The proposed two-stage CNN model achieved an accuracy of 84.4 %, where the FP per true positive is reduced from 11.1 to 0.97. The proposed model shows its superiority over the existing methods for nodule detection.
sasa: a SimulAtor of Self-stabilizing Algorithms
Authors: Altisen Karine , Devismes Stéphane , Jahier Erwan 
Published: November 2021

AbstractIn this paper, we present sasa, an open-source SimulAtor of Self-stabilizing Algorithms. Self-stabilization defines the ability of a distributed algorithm to recover after transient failures. sasa is implemented as a faithful representation of the atomic-state model (also called the locally shared memory model with composite atomicity). This model is the most commonly used one in the self-stabilizing area to prove both the correct operation of self-stabilizing algorithms and complexity bounds on them. sasa encompasses all features necessary to debug, test and analyze self-stabilizing algorithms. All these facilities are programmable to enable users to accommodate to their particular needs. For example, asynchrony is modeled by programmable stochastic daemons playing the role of input sequence generators. Properties of algorithms can be checked using formal test oracles. The sasa distribution also provides several facilities to easily achieve (batch-mode) simulation campaigns. We show that the lightweight design of sasa allows to efficiently perform huge such campaigns. Following a modular approach, we have aimed at relying as much as possible the design of sasa on existing tools, including ocaml, dot and several tools developed in the Synchrone Group of the VERIMAG laboratory.
Thoracoscopic anatomical individual basilar segmentectomy
Authors: Takamori Satoshi , Oizumi Hiroyuki , Suzuki Jun , Watanabe Hikaru , Sato Kaito , Saito Shoko , Kabasawa Takanobu 
Published: November 2021

Abstract

OBJECTIVES
Thoracoscopic anatomical single or combined anatomical individual basilar segmentectomy, including subsegmentectomy, is technically challenging due to variations and the deep location of vessels and bronchi in the parenchyma. However, the long-term perioperative outcomes of various anatomical subsegmentectomy approaches have not been reported. Thus, we investigated the effectiveness of thoracoscopic basilar segmentectomy.

METHODS
We evaluated the records of 119 patients who underwent thoracoscopic single or complex basilar segmentectomy between January 2005 and December 2020 and compared the fissure and non-fissure approach for S9 and/or S10.

RESULTS
A total of 29 patients underwent single segmentectomy, and 90 patients underwent various combined anatomical segmentectomies via video-assisted thoracoscopic surgery and planning using three-dimensional simulation. There were 39 cases of S9 and/or S10 segmentectomy. The median chest tube in-dwell duration and postoperative hospital stay were 1 and 4 days, respectively. The postoperative morbidity (Clavien–Dindo grade II/IIIa) rate was 5.9% without perioperative mortality. Pathological examination revealed 83 cases of lung cancer, 21 cases of metastasis and 15 cases of benign lesions. The postoperative hospitalization duration showed significant differences in the perioperative outcomes between the fissure and non-fissure approaches for S9 and/or S10.

CONCLUSIONS
Thoracoscopic anatomical basilar individual segmentectomy has emerged as a safe and feasible procedure. The non-fissure approach enabled anatomic resection of a single segment or combined basal segments, helped avoid dissection of an incomplete fissure and facilitated surgical outcomes similar to the fissure approach.
Treatment with mixed probiotics induced, enhanced and diversified modulation of the gut microbiome of healthy rats
Authors: He Qiuwen , Huang Jiating , Zheng Tingting , Lin Dan , Zhang Heping , Li Jun , Sun Zhihong 
Published: November 2021

ABSTRACT
Previous studies demonstrated that multi-strain probitics could more strongly regulate intestinal cytokines and the mucosal barrier than the individual ingredient strains. Nevertheless, the potentially different gut microbiome modulation effects between multi-strain and single-strain probiotics treatments remain unexplored. Here, we administered three different Lactiplantibacillus plantarum strains or their mixture to healthy Wistar rats and compared the shift of gut microbiome among the treatment groups. A 4-week intervention with mixed probiotics induced more drastic and diversified gut microbiome modulation than single-strain probiotics administration (alpha diversity increased 8% and beta diversity increased 18.7%). The three single-strain probiotics treatments all converged the gut microbiota, decreasing between-individual beta diversity by 12.7% on average after the treatment, while multi-strain probiotics treatment diversified the gut microbiome and increased between-individual beta diversity by 37.2% on average. Covariation analysis of the gut microbes suggests that multi-strain probiotics could exert synergistic, modified and enhanced modulation effects on the gut microbiome based on strain-specific modulation effects of probiotics. The more heterogeneous responses to the multi-strain probiotics treatment suggest that future precision microbiome modulation should consider the potential interactions of the probiotic strains, and personalized response to probiotic formulas due to heterogenous gut microbial compositions.
Using a dynamic earthquake simulator to explore tsunami earthquake generation
Authors: Meng Qingjun , Duan Benchun , Luo Bin 
Published: November 2021

SUMMARYObservations of historical tsunami earthquakes reveal that ruptures of these earthquakes propagate slowly at shallow depth with longer duration, depletion in high-frequency radiation and larger discrepancy of Mw–Ms than ordinary megathrust earthquakes. They can effectively generate tsunami and lead to huge damage to regional populated areas near the coast. In this study, we use a recently developed dynamic earthquake simulator to explore tsunami earthquake generation from a physics-based modelling point of view. We build a shallow-dipping subduction zone model in which locally locked, unstable patches (asperities) are distributed on a conditionally stable subduction interface at shallow depth. The dynamic earthquake simulator captures both quasi-static and dynamic processes of earthquake cycles. We find that earthquakes can nucleate on these asperities and propagate into the surrounding conditionally stable zone at slow speeds, generating tsunami earthquakes. A high normal stress asperity, representing a subducted seamount, can act as an asperity in some events but as a barrier in other events over multiple earthquake cycles. Low normal stress asperities typically act as asperities in tsunami earthquakes. The degree of velocity-weakening in the conditionally stable zone, which may sustain rupture at different speeds or stop rupture, is critical for tsunami earthquake generation and affects its recurrence interval. Distributed asperities may rupture in isolated events separated by tens of years, or in a sequence of events separated by hours to days, or in one large event in a cascade fashion, demonstrating complex interactions among them. The recurrence interval on a high normal stress asperity is much larger than that on low normal stress asperities. These modelling results shed lights on the observations from historical tsunami earthquakes, including the 1994 and 2006 Java tsunami earthquakes and 2010 Mentawai tsunami earthquake.
Sex Differences in the Behavioral, Molecular, and Structural Effects of Ketamine Treatment in Depression
Authors: Ponton Ethan , Turecki Gustavo , Nagy Corina 
Published: November 2021

Abstract
Major depressive disorder (MDD) is a common psychiatric illness that manifests in sex-influenced ways. Men and women may experience depression differently and also respond to various antidepressant treatments in sex-influenced ways. Ketamine, which is now being used as a rapid-acting antidepressant, is likely the same. To date, the majority of studies investigating treatment outcomes in MDD do not disaggregate the findings in males and females, and this is also true for ketamine. This review aims to highlight that gap by exploring pre-clinical data—at a behavioral, molecular, and structural level—and recent clinical trials. Sex hormones, particularly estrogen and progesterone, influence the response at all levels examined, and sex is therefore a critical factor to examine when looking at ketamine response. Taken together, the data show females are more sensitive to ketamine than males, and it might be possible to monitor the phase of the menstrual cycle to mitigate some risks associated with the use of ketamine for females with MDD. Based on the studies reviewed in this article, we suggest that ketamine should be administered adhering to sex-specific considerations.