bluuebunny/crossref_metadata_2025_split huggingface dataset:
Markus–Yamabe Conjecture for Asymptotic Stability of Planar Piecewise Linear Systems
Authors: Zhang Yuhong , Yang Xiao-Song 
Published: December 2021

Abstract
We present in this paper a detailed study on the Markus–Yamabe conjecture in planar piecewise linear systems. We consider discontinuous piecewise linear systems with two zones separated by a straight line, in which every subsystem is asymptotically stable. We prove the existence of limit cycles under explicit parameter conditions and give more different counterexamples to the Markus-Yamabe conjecture in addition to the counterexamples given by Llibre and Menezes. In particular, we consider continuous planar piecewise linear systems. For such a system with n + 1 zones separated by n parallel straight lines in phase space, we prove that if each of subsystems is asymptotically stable, then this system has a globally asymptotically stable equilibrium point, therefore the Markus–Yamabe conjecture still holds. Some examples are given to illustrate the main results.Mathematics Subject Classification (2020) 34C05 · 34C07 · 37G15
Fecal Microbiota and Their Association With Heat Stress in Bos Taurus
Authors: Czech Bartosz , Szyda Joanna , Wang Kai , Luo Hanpeng , Wang Yachun 
Published: December 2021

Abstract
Background: Humans have been influencing climate changes by burning fossil fuels, farming livestock, and cutting down rainforests, which has led to global temperature rise. This problem of global warming affects animals by causing heat stress, which negatively affects their health, biological functions, and reproduction. On the molecular level, it has been proved that heat stress changes the expression level of genes and therefore causes changes in proteome and metabolome. The importance of a microbiome in many studies showed that it is considered as individuals’ “second genome”. Physiological changes caused by heat stress may impact the microbiome composition. Results: In this study, we identified fecal microbiota associated with heat stress that was quantified by three metrics – rectal temperature, drooling, and respiratory scores and represented by their Estimated Breeding Values. For this purpose, the 16S rRNA sequencing technique was used. We analyzed the microbiota from 136 fecal samples of Chinese Holstein cows through a 16S rRNA gene sequencing approach. Sequence data were processed using a pipeline involving QIIME2 software together with SILVA database. Statistical modeling was performed using a negative binomial regression. The analysis revealed the total number of 24 genera and 12 phyla associated with heat stress metrics. Rhizobium and Pseudobutyrivibrio turned out to be the most significant genera, while Acidobacteria and Gemmatimonadetes were the most significant phyla. Phylogenetic analysis revealed that that three heat stress indicators quantify different metabolic ways of animals’ reaction to heat stress. Other studies already identified that those genera had significantly increased abundance in mice exposed to stressor-induced changes. Conclusions: This study provides insights into the analysis of microbiome composition in cattle using heat stress measured as a continuous variable. The bacteria highly associated with heat stress were highlighted and can be used as biomarkers in further microbiological studies.
Leaderless Maneuver Guidance and Event-Triggered Formation Control for Distributed Multi-Space-Robot Systems
Authors: Wang Xuan , Chu Xing , Meng Yunhe , wen Guoguang , Jiang Qian 
Published: December 2021

Abstract
In this paper, the distributed displacement-based formation and leaderless maneuver guidance control problems of multi-space-robot systems are investigated by introducing event-triggered control update mechanisms. A distributed formation and leaderless maneuver guidance control framework is first constructed, which includes two parallel controllers, namely, an improved linear quadratic regulator and a distributed consensus-based formation controller. By applying this control framework, the desired formation configuration of multi-space-robot systems can be achieved and the center of leaderless formation can converge to the target point globally. Second, a pull-based event triggering mechanism is introduced to the distributed formation controller, which makes the control update independent of the events of neighboring robots, avoids unnecessary control updates, and saves the extremely limited energy of space robots. Furthermore, the potential Zeno behaviors have been excluded by proving a positive lower bound for the inter-event times. Finally, numerical simulation verifies the effectiveness of the theoretical results.
Prediction of Dynamic Elastic Properties for Mishrif formation in West Qurna-1 oil field: an experimental work
Authors: wattan ahmed , AL‑Jawad Mohammed 
Published: December 2021

Abstract
Shear and compressional wave velocities are useful for drilling operations, the exploration of reservoirs, stimulation processes, and hydraulic fracturing. An ultrasonic device will be used in this investigation to anticipate and analyze the elastic characteristics of carbonate rocks. At the summit of the field, the well WQ1-20 obtained samples of the Mishrif formation from a variety of various depths. The number of samples taken from the well is nine from different units whereas the number of samples taken from the main unit (MB2) was five. The relations between the elastic properties for the carbonate rocks with P-and S-waves were defined. The relations between Vp and Vs with elastic properties were defined by applied Regression analysis. The results showed that a linear relationship between P-and S-wave velocities with the elastic properties of the carbonate rocks. It is found that the relationship between Vp and Young's modulus (E) is R2 equal to 0.979 while the relationship between Vs and Young's modulus (E) is R2 equal to 0.925. The relationship between shear modulus and Vs is good in comparison with Vp where the values of R2 were 0.985 and 0.94 respectively. R2 values for the Bulk modulus and Lame's constant of Vp are 0.925 and 0.6, respectively, while the values for Vs are 0.925 and 0.6 for the latter. The relation between Vp/Vs ratio with Poisson’s ratio showed a good R2 with a value of 0.97. When it comes to predicting the dynamic elastic characteristics of a material, the ultrasonic approach may be regarded as a cost-effective, easy, and non-destructive method.
The Attitude of Women Planning Pregnancy and/or Having Children Towards Vaccinations: A Cross-Sectional Survey Study
Authors: Bieńkowski Carlo , Kowalczyk Monika , Golik Agata , Kacperczyk-Bartnik Joanna , Bartnik Paweł , Dobrowolska-Redo Agnieszka , Romejko-Wolniewicz Ewa , Pokorska-Śpiewak Maria 
Published: December 2021

Abstract
Background

Infectious disease agents can cause serious fetopathy. Implementing appropriate prevention methods while planning pregnancy can help avoid some of them.
Methods

A cross-sectional survey study was performed. The questionnaire investigated attitudes towards vaccinations, as well as opinions on anti-vaccine movements and the so-called "chickenpox parties".
Results

The study group consisted of 2402 women, age range was 16-54 years (median: 31 years). Most women were from cities > 100,000 inhabitants (49.7%, 1194/2402) and had higher education (71.9%, 1726/2402). A positive attitude towards vaccinations was more common among younger, nulliparous women from big cities (p=0.02, p=0.04 and p=0.01, respectively). 2068/2402 (86.1%) of them were not vaccinated before pregnancy and 1931/2402 (80.4%) of women were not vaccinated during pregnancy. While most women (1545/2402, 64.3%) considered vaccination safe, and effective (1904/2402, 79.3%) against infectious diseases, many (n=296/2402 12.3%) have no opinion on the so-called chickenpox party.
Conclusions

Most women in Poland have a positive attitude towards vaccinations and consider vaccines a safe and effective method of protection against infectious diseases. Since a significant proportion of women were not vaccinated before or during pregnancy and about 12% of women are undecided, the physician's role is crucial in educating and persuading the patient to be vaccinated
Synthesis, and Docking Studies of Novel Heterocycles Incorporating the Indazolylthiazole Moiety as Antimicrobial and Anticancer Agents
Authors: Dawoud Nadia , El-Gendi Hamada , Abdallah Abdallah , El-Fakharany Esmail M. , Lotfy Doaa 
Published: December 2021

Abstract
The current study was directed toward developing a new series of fused heterocycles incorporating an indazolylthiazole moiety. The newly synthesized compounds were characterized through elemental analysis and spectral data (IR, 1H-NMR, 13C-NMR, and mass spectrometry). The cytotoxic effect of the newly synthesized compounds was evaluated against normal human cells (HFB-4) and cancer cell lines (HepG-2 and Caco-2). Among the synthesized compounds, derivatives 4, and 6 revealed significant selective antitumor activity, in a dose-dependent manner, against both HepG-2 and Caco-2 cell lines, with a lower risk toward HFB-4 cells (normal cells). Derivative 8 revealed the maximum antitumor activity toward both tumor cell lines, with an SI value of about approximately 26 and an IC50 value of approximately 5.9 µg/ml. The effect of these derivatives (8, 4, and 6) on the expression of 5 tumor regulating genes was studied through quantitative real-time PCR, where their interaction with these genes was simulated through a molecular docking study. Furthermore, the antimicrobial activity results revealed that compounds 2, 7, 8, and 9 have potential antimicrobial activity, with maximum broad spectrum activity through compound 3 against the three tested pathogens: Streptococcus mutans, Pseudomonas aeruginosa, and Candida albicans. The newly prepared compounds also revealed antibiofilm formation activity with maximum activity against Streptococcus mutans, Pseudomonas aeruginosa, and Candida albicans.
Role of Iron in the Reduction of Anemia Among Women of Reproductive Age in Low-Middle Income Countries: Insights From Systematic Review and Meta-Analysis
Authors: Ali Sumera Aziz , Razzaq Shama , Aziz Savera , Allana Ahreen , Ali Arzina Aziz , Naeem Shahla , Ur-Raheman Fazal 
Published: December 2021

Abstract
BackgroundIron deficiency anemia is a common public health problem problem among women of reproductive age (WRA) as it is can lead to unfavorable maternal and birth outcomes. Although studies are undertaken to assess the efficacy of iron, there are some gaps and limitations in the existing studies that need to be addressed. To address the gaps, we undertook a systematic review and meta-analysis to assess the existing evidence regarding the role of iron in decreasing anemia among WRA in low-middle-income countries.MethodsPubMed, Embase, and Science Direct were systematically searched using a comprehensive search strategy for randomized controlled trials published between 2000 to 2020. Mean change in hemoglobin level was assessed as a primary outcome. We performed a meta-analysis to estimate the pooled effect of all studies using standardized mean differences and their respective 95% CI. We assessed heterogeneity and publication bias using I2 statistics and Egger’s test respectively. This review was conducted with the help of updated guidelines based on the Preferred Reporting Items for Systematic Review and Meta-analysisResultsGenerally, the results demonstrated a favorable effect of iron therapy in improving hemoglobin levels with variation across studies. An overall pooled effect estimate for the role of iron therapy in decreasing the burden of anemia among WRA was -0.51 (95% CI: -1.03 to 0.01) (p = 0.04). Likewise, iron therapy improved ferritin levels and decreased the prevalence of anemia. The heterogeneity across included studies was found to be statistically significant as indicated by the parameters of heterogeneity (Q = 1191.60, I2 = 98.24%, p = 0.000). ConclusionIron therapy in any form may reduce the burden of anemia and improve the hemoglobin and ferritin levels, indicating improvement in iron-deficiency anemia. However, more evidence is needed to assess the morbidity associated with iron consumption such as side effects, work performance, economic outcomes, mental health, and compliance to the intervention with a special focus on married but non-pregnant women planning a pregnancy in near future. A systematic review and Meta-analysis registration: Registered with PROSPERO and ID is CRD42020185033
Jeotgalibacillus Auranticolor sp. nov., Isolated from Freshwater Collected from Baiyangdian Lake Lake, China
Authors: Liu Yu-nan , Wei Meng-yu , Wang Chao , Lyu Zhi-Tang , zhang Xiumin , Feng Jie 
Published: December 2021

Abstract
A novel Gram-positive, strictly aerobic, rod-shaped, orange-pigmented bacterial strain, designated R-1-5s-1T, was isolated from Baiyangdian Lake, China. Strain R-1-5s-1T grew at 15-37℃ (optimum 37℃) and pH 7-11 (optimum pH 8) in Luria-Bertani medium. Based on 16S rRNA gene sequence analysis, strain R-1-5s-1T was assigned to the genus Jeotgalibacillus and showed the closest relationships with Jeotgalibacillus salarius ASL-1T (97.69%), Jeotgalibacillus alkaliphilus JC303T (97.29%), Jeotgalibacillus marinus DSM 1297T (97.15%), Jeotgalibacillus campisalis SF-57T (97.01%), and Jeotgalibacillus spp. (≤ 97%). The predominant polar lipids were phosphatidylglycerol and diphosphatidylglycerol; the major cellular fatty acids were iso-C15:0, anteiso-C15:0, iso-C17:0, and anteiso-C17:0; and the major respiratory quinones were MK-7 and MK-8. The peptidoglycan type of the cell wall was A1a linked via L-lysine as the diamino acid. The G+C content was 43.6%, and the draft genome size of strain R-1-5s-1T was 3.4 Mbp. Between strain R-1-5s-1T and the related strain J. salarius ASL-1T, the ANI and dDDH relatedness values were 78.9% and 20.8%, respectively. Phylogenetic, chemotaxonomic, and genotypic analyses revealed that strain R-1-5s-1T is a novel species in the genus Jeotgalibacillus, for which the name Jeotgalibacillus auranticolor sp. nov. is proposed. The type strain is R-1-5s-1T (=CGMCC 1.13567T=KCTC 43038T).
Intraspecific Trait Variability Determines Understorey Plant Community Assembly
Authors: Olszewski Piotr , Puchałka Radosław , Sewerniak Piotr , Koprowski Marcin , Ulrich Werner 
Published: December 2021

Abstract
Increasing evidence points to the major impact of intraspecific variability in species characteristics on community assembly. Contrasting theories predict that high trait variability might either steepening dominance orders or promote diversity. Here, we try to test these predictions with understorey plants in a Polish mixed temperate forest. We focus on four important traits (leaf dry mass LDW, plant height SH, specific leaf area SLA, and number of flowers NF) of the small balsam Impatiens parviflora, the dominant species in this forest system. We relate trait variability to community species richness and abundances, as well as to soil characteristics. The variance – mean relationships of LDW, LH, and NF, but not of SLA, closely followed power functions with slopes > 1.5. Contrary to theory, abundances but not species richness of non-I. parviflora species significantly decreased within increasing variance in I. parviflora trait expression. High trait variability prevailed a higher species richness. Trait variability did not significantly influence species composition and was not significantly correlated with soil characteristics. Our results emphasis the need to study trait variability in terms of appropriate statistical standards as provided by the allometric variance - mean relationship. We argue that an individual based study of local trait variability might return important insights into the composition and assembly of local communities.
Astragalus Polysaccharides Alleviate Lung Adenocarcinoma Bone Metastases by Inhibiting the CaSR/PTHrP Signaling Pathway
Authors: Ma Xiaoting , Wang Cong , Yu Jing 
Published: December 2021

Abstract
Background: To expore the possible effect and mechanism of Astragalus Polysaccharide (APS) on bone metastasis of lung adenocarcinoma.Methods: The culture media of osteoclast (OC) precursor cells, osteoblasts (OBs) and A549 cells were constructed respectively. TRAP staining was used to detect the effect of APS on OC differentiation. Alizarin red staining was used to detect the effect of APS on OB differentiation. The expressions of OC differentiation related proteins and OB specific proteins were detected by Western blotting. The effects of APS on the proliferation and migration of A549 cells were detected by CCK-8 and Transwell assay, respectively. The effect of APS on A549 induced apoptosis was analyzed by flow cytometry. The expression of calcium sensing receptor (CaSR) / parathyroid hormone-related protein (PTHrP) signal pathway related proteins was detected by Western blotting. The mouse model of bone metastasis of lung adenocarcinoma was established. The occurrence of bone metastasis of lung adenocarcinoma in mice was verified by micro CT. The inhibition of APS on bone metastasis and the promotion of tumor cell apoptosis were detected by HE staining and TUNEL assay.Results: APS inhibited the formation of receptor activator of nuclear factor-κB ligand (RANKL) induced OCs and promoted the differentiation of OBs in a concentration dependent manner. APS inhibited RANKL induced OC differentiation and the expression of related proteins, and promoted OB differentiation and the expression of related proteins. APS inhibited the proliferation and migration of A549 cells and promoted apoptosis in a concentration dependent manner. APS may inhibit the proliferation and invasion of A549 cells by inhibiting CaSR / PTHrP signaling pathway, and inhibit the expression of CaSR / PTHrP signaling pathway related proteins. In vivo experiments confirmed that APS inhibited bone metastasis of lung adenocarcinoma.Conclusions: APS can inhibit the proliferation and invasion of lung adenocarcinoma cells by inhibiting the CaSR / PTHrP pathway, and then affect the balance of OCs and OBs in the bone microenvironment, so as to protect the bone metastasis of lung adenocarcinoma.
The Effectiveness of Fear of Leprosy As a Mediator of The Relationship Between Resilience, Coping Resources, and Coping: A Correlation Study Through The Structural Equation Model In Patients With Leprosy
Authors: Prakoeswa Cita Rosita Sigit , Alinda Medhi Denisa , Kusumaputra Bagus Haryo , Nasir Abd. , Yusuf Ah , Listiawan Muhammad Yulianto 
Published: December 2021

Abstract
Background: Strengthening the argument for better problem solving can reduce excessive worry, so as to reduce fear due to leprosy disability, because the impact arising from leprosy disability can affect the chosen coping strategy. Methods: The purpose of this study was to test the model of the relationship between resilience, coping resources, and coping through structural equation modeling to identify the role of disability fear as a mediator. The leprosy disability fear scale, coping resources scale, and coping scale have been used to collect data, with 125 participants involved in this study through convenience sampling, consisting of women (33.60%), men 66.40 %. Structural equation model is used to test through cross-sectional design. Results: The results of the study report that there is a negative relationship between coping resources and fear of leprosy disability, and it is known that there is a positive relationship with coping. Meanwhile, The test results showed a negative relationship between resilience and fear of leprosy disability, and a positive relationship with coping. Furthermore, to coping, fear of leprosy disability shows a negative relationship. Conclusion: Coping in seeking health assistance is strongly influenced by resilience and coping resources, both directly and indirectly through the mediator of fear of leprosy disability. As a result, in seeking health assistance, individuals who have strong self-defense and have extensive coping resources, have adaptive coping, thereby reducing the fear of leprosy disability, and thus can maintain adaptive coping during the leprosy healing process.
Spread and Dynamics of COVID-19 in the Kingdom of Saudi Arabia and Four Other Countries in the Early Phase: A Study for the Development of the Advanced Health System
Authors: Khan Shahanavaj , Islam Asimul , Firoz Ahmad , Chaudhary Anis Ahmad , Kamal Mohammad Amjad , Malik Abdul 
Published: December 2021

Abstract
BackgroundThe epidemic of 2019 novel coronavirus (SARS-CoV-2) is challenge to the world which was at first confirmed in the Wuhan city of China in December 2019. It was declared a pandemic by the World Health Organization (WHO) in March 2020. In the current work we evaluated effect of health policy of Saudi Arabia for the management of COVID-19 pandemic in early phase and compared to other four countries. MethodBased on the Ministry of Health, Kingdom of Saudi Arabia (KSA) data, the summary of daily report of COVID-19 was prepared from 02 March to 30 April 2020. Further, the daily report of enhancement in cases and recovery of the patients was also summarized. Moreover, the incidence, death and recoveries of COVID-19 cases in KSA were compared with major infected country including China, Italy, Spain and United State of America (USA). The important role of artificial intelligence was shown for the development of drug targets against to infectious diseases Results In KSA, the first case of COVID-19 was reported on 02 March 2020. Since then, it has affected 22,753 persons till the end of the April 2020. Also, the results showed that the infection rate of COVID-19 increased continuously during the current period of study in KSA. Nevertheless, the rate of death due to COVID-19 is much less with comparison to China, Italy, Spain, and USA due to good medical facilities along with quick action by the government of KSA after the emergence of first case. There is a dire need to develop new platforms and approaches to combat new and old diseases including COVID-19 at warp speed when compared to traditional approaches. DeepDrug’s approach to drug discovery and development showed brighter future towards the discovery of novel drugs against infectious diseases including COVID-19.ConclusionCurrently, there is higher probability of COVID-19 spread at any place. Therefore good health policy, precautionary measures and medical facility of whole nations should be excellent to combat against the COVID-19 pandemic until the reliable vaccine or antiviral drug developed for the proper treatment of virus. The artificial intelligence (AI) based available process might be very helpful for the drug discovery and development against of old and newly discovered diseases including COVID-19.