Miracle-dz/UniFAR-FTUs huggingface dataset:
Maternal lipid profile during early pregnancy and birth weight: A retrospective study

Introduction Elevated maternal serum lipid concentrations have been related to an adverse intrauterine environment and lead to abnormal birth weight. Objective In this study, we aimed to explore the association between maternal lipid profiles during early pregnancy and birth weight with stratified pre-pregnancy body mass index (BMI). Methods This retrospective cohort study was based on a large population from two major maternity centers in Shanghai, China. We included 57,516 women with singleton live birth between January 2018 and October 2020. All of the enrolled women had fasting lipid concentrations measured in early pregnancy. The primary outcomes were birth weight and risks of adverse birth outcomes, including macrosomia, large for gestational age (LGA), low birth weight (LBW), and small for gestational age (SGA). Results Higher maternal concentrations of total cholesterol (TC), triglyceride (TG), and low-density cholesterol (LDL-c) in early pregnancy were associated with increased birth weight. Ln transformed TG and levels exhibited a positive association with LGA and macrosomia (OR = 1.33, 95% CI: 1.25, 1.42 and OR = 1.37, 95% CI: 1.24, 1.52) and showed a negative relationship with SGA (OR = 0.73, 95% CI: 0.62, 0.85). High TG (>75th percentile, 1.67 mmol/L) group also showed higher risks of LGA and macrosomia (OR = 1.21, 95% CI: 1.15, 1.28 and OR = 1.20, 95% CI: 1.10, 1.31) and decreased prevalence of SGA (OR = 0.71, 95% CI: 0.61, 0.83). Moreover, significant combined effects of pre-pregnancy BMI and lipid profiles on LGA and macrosomia were identified. Conclusions Elevated maternal lipid profiles in early pregnancy are associated with higher birth weight and increased risks of LGA and macrosomia. We propose that serum lipid profiles in early pregnancy and pre-pregnancy BMI could serve as screening indexes for high-risk women.
Thematic trends and knowledge structure on cognitive behavior therapy for insomnia: A bibliometric and visualization analysis

Objective To find publications trend about cognitive behavior therapy for insomnia (CBTI) using bibliometric and visualization analysis. In this study, the authors sought to identify the publication trends of peer-reviewed articles about CBTI. Materials and methods Analyses were focused on the past 18 years from 2004 to 2021. All searches were performed on the Web of Science Core Collection database. The search was repeated to include structural cognitive behavior therapy for insomnia. Quantitative analysis was assessed using the bibliometric tool. Visualization analysis was carried out using VOSviewer. Results In the 736 articles reviewed, the number of publications has been increasing every year for the past 18 years. Behavioral sleep medicine and sleep were the most active journals published on CBTI. The United States and Canada had the highest scientific publications in the field. Morin CM and Espie CA were the most active authors. The study type mostly observed were randomized controlled trials, meta-analyses, and epidemiological. Publications on digital-based cognitive behavior therapy and accessibility to primary care settings represent the future trends of research on CBTI. Conclusion Possible explanations for CBTI publication trends were discussed, including the emergence of the evidence-based therapy, feasibility, and scalability. Potential CBTI publications trends in the future and clinical implications were also discussed.
Green's Function Estimates for Lattice Schrödinger Operators and Applications.

Acknowledgment v CHAPTER 1: Introduction 1 CHAPTER 2: Transfer Matrix and Lyapounov Exponent 11 CHAPTER 3: Herman's Subharmonicity Method 15 CHAPTER 4: Estimates on Subharmonic Functions 19 CHAPTER 5: LDT for Shift Model 25 CHAPTER 6: Avalanche Principle in SL2( R ) 29 CHAPTER 7: Consequences for Lyapounov Exponent, IDS, and Green's Function 31 CHAPTER 8: Refinements 39 CHAPTER 9: Some Facts about Semialgebraic Sets 49 CHAPTER 10: Localization 55 CHAPTER 11: Generalization to Certain Long-Range Models 65 CHAPTER 12: Lyapounov Exponent and Spectrum 75 CHAPTER 13: Point Spectrum in Multifrequency Models at Small Disorder 87 CHAPTER 14: A Matrix-Valued Cartan-Type Theorem 97 CHAPTER 15: Application to Jacobi Matrices Associated with Skew Shifts 105 CHAPTER 16: Application to the Kicked Rotor Problem 117 CHAPTER 17: Quasi-Periodic Localization on the Z d -lattice ( d > 1) 123 CHAPTER 18: An Approach to Melnikov's Theorem on Persistency of Non-resonant Lower Dimension Tori 133 CHAPTER 19: Application to the Construction of Quasi-Periodic Solutions of Nonlinear Schrodinger Equations 143 CHAPTER 20: Construction of Quasi-Periodic Solutions of Nonlinear Wave Equations 159 Appendix 169
Interfacility Transport of Critically Ill Patients

OBJECTIVES: To assess recent advances in interfacility critical care transport. DATA SOURCES: PubMed English language publications plus chapters and professional organization publications. STUDY SELECTION: Manuscripts including practice manuals and standard (1990–2021) focused on interfacility transport of critically ill patients. DATA EXTRACTION: Review of society guidelines, legislative requirements, objective measures of outcomes, and transport practice standards occurred in work groups assessing definitions and foundations of interfacility transport, transport team composition, and transport specific considerations. Qualitative analysis was performed to characterize current science regarding interfacility transport. DATA SYNTHESIS: The Task Force conducted an integrative review of 496 manuscripts combined with 120 from the authors’ collections including nonpeer reviewed publications. After title and abstract screening, 40 underwent full-text review, of which 21 remained for qualitative synthesis. CONCLUSIONS: Since 2004, there have been numerous advances in critical care interfacility transport. Clinical deterioration may be mitigated by appropriate patient selection, pretransport optimization, and transport by a well-resourced team and vehicle. There remains a dearth of high-quality controlled studies, but notable advances in monitoring, en route management, transport modality (air vs ground), as well as team composition and training serve as foundations for future inquiry. Guidance from professional organizations remains uncoupled from enforceable regulations, impeding standardization of transport program quality assessment and verification.
Comparison between Eccentric-Only and Coupled Concentric–Eccentric Contractions for Neuromuscular Fatigue and Muscle Damage

ABSTRACT Purpose Eccentric contractions induce muscle damage, but less is known about the effects of preceding concentric contractions to eccentric contractions on muscle damage. We compared eccentric-only (ECC) and coupled concentric and eccentric contractions (CON–ECC) of the knee extensors for parameters of neuromuscular fatigue and muscle damage. Methods Twenty participants (age, 19–36 yr) were randomly placed into an ECC or a CON–ECC group (n = 10 per group), without significant (P > 0.06) differences in baseline neuromuscular variables between groups. The ECC group performed six sets of eight ECC at 80% of ECC one-repetition maximum (1-RMecc), whereas the CON–ECC group performed six sets of eight alternating concentric (CON) and ECC (16 contractions per set) at 80% of CON 1-RM and 1-RMecc, respectively. Maximal voluntary isometric contraction force, rate of force development, resting twitch force, maximal M-wave (MMAX), voluntary activation, motor evoked potentials, corticospinal silent period, short interval intracortical inhibition, and muscle soreness were measured before, immediately after, and 1–3 d after exercise. Results No significant (P ≥ 0.09) differences between ECC and CON–ECC were observed for changes in any variables after exercise. However, maximal voluntary isometric contraction force decreased immediately after exercise (ECC: −20.7% ± 12.8%, CON–ECC: −23.6% ± 23.3%) and was still reduced 3 d after exercise (ECC: −13.6% ± 13.4%, CON–ECC: −3.3% ± 21.2%). Rate of force development at 0–30 ms reduced immediately after exercise (ECC: −38.3% ± 33.9%, CON–ECC: −30.7% ± 38.3%). Voluntary activation, resting twitch force, and motor evoked potential/MMAX decreased and corticospinal silent period increased after exercise (all P ≤ 0.03), but short interval intracortical inhibition and MMAX did not change. Muscle soreness developed (P < 0.001) similarly for both groups (peak, 38.5 ± 29.5 mm). Conclusions CON–ECC did not exacerbate neuromuscular fatigue and muscle damage when compared with ECC, despite twice as many contractions performed. Thus, eccentric contractions (n = 48 in both groups) seemed to mainly mediate the neuromuscular responses observed.
Routes Determine Results? Comparing the Performance of Differentiated Farmland Conservation Policies in China Based on Farmers’ Perceptions

Revealing the performance of farmland conservation policies that use different types of policy instruments can provide a basis for optimizing such policies. Based on farmers’ perceptions of farmland conservation policies, this paper conducted an empirical analysis using data on 986 rural households which were collected from seven towns/districts in three provinces of China. More specifically, this paper first uses propensity score matching to analyze the impact of the comprehensive application of economic incentive and command-and-control policy instruments on farmland conservation. Then, it explores the differences between the effects of local economic incentive farmland conservation policies (FCP-LE) that employed different policy instruments. Finally, the factors affecting farmers’ perceptions of FCP-LE performance were identified. The results show that the combination of economic incentives and command-and-control policy instruments significantly improved the performance of farmland conservation policies. Furthermore, after comparing FCP-LE with payments to rural communities in the form of monetary compensation only, it is evident that a combination of FCP-LE with payments to farmers and integrated monetary compensation and social security subsidies yields better farmland conservation. Additionally, there are differences between the factors affecting farmers’ perceptions of FCP-LE performance in different areas. Our findings aim to help encourage more areas to develop diversified local incentive policies in order to conserve farmland.
Diagnostic Values of Advanced Glycation End Products and Homocysteine in Patients with Alzheimer's Disease and Sarcopenia

This study is aimed at exploring the diagnostic value of advanced glycation end products (AGEs) and homocysteine (Hcy) in Alzheimer's disease (AD) complicated with sarcopenia (SP) and to analyze the risk factors related to AD complicated with SP. A total of 168 patients admitted to our hospital from November 2019 to December 2021 were enrolled. Patients were divided into the NC (no SP and AD) group with 29 cases, the AD group with 39 cases, the AD+SP group with 35 cases, and the SP group with 65 cases. The general information, Mini-Mental State Examination (MMSE) scores, and serum levels of AGEs and Hcy among the four groups were compared. Unordered logistic regression was used to analyze the influencing factors of SP patients complicated with dementia. The AGE level was higher in the AD or AD+SP group than the NC or SP group (P < 0.05). There was no significant difference between the SP group and the NC group or between the AD group and the AD+SP group (P > 0.05). The Hcy level was higher in the SP or AD group than the NC group (P < 0.05). There were no significant differences between the AD group and NC group or between the SP group and AD+SP group (P > 0.05). The ROC curve of serum AGEs and Hcy for the diagnosis of AD showed that the area under curve (AUC) was 0.887, P < 0.05 (95% CI: 0.821-0.954, sensitivity: 80.95%, specificity: 73.81%) and 0.7423, P < 0.05 (95% CI: 0.6382-0.8465, sensitivity: 60.42%, specificity: 57.59%), respectively. The ROC curve of serum AGEs and Hcy for the diagnosis of SP showed that the AUC was 0.5533, P > 0.05 (95% CI: 0.4294-0.6771) and 0.8744, P < 0.05 (95% CI: 0.8006-0.9483). Age (P < 0.001), depression (P = 0.001), malnutrition (P = 0.002), and BMI (P < 0.001) were independent influencing factors of SP complicated with AD in elderly inpatients. In conclusion, combined serum AGEs and Hcy had a good diagnostic value for AD combined with SP, which may be helpful for early detection of patient condition.
Seasonal Variation of Residual Aluminum Concentration in Drinking Water

- Data for aluminum concentration in Baghdad raw and drinking water have been taken from Baghdad Mayoralty for the period of the year (2005-2006) and for six water treatment plants (Al-Karkh, East Tigris, Al-Wathba, Al-Karama, Al-Qadisia and Al-Dora). The available data were analyzed by using statistical programs like (spss, statistica, grapher and excel) . Relation with water quality parameters was obtained like relation with pH and temperature. From the study the pH value was found to be ranged between (7.45-7.85) in supplied water for minimum aluminum residual. From the contour plot results show that an equation has been concluded which connect concentration with pH and temperature. Seasonal variation was also studied; maximum concentration found to be in summer season, at Al-Karama and Al-Wathba water treatment plants concentrations were constant during the period of the study. Comparison between water treatment plants was also made, Al-Qadisia and Al-Karkh water treatment plants have the best control conditions, aluminum concentrations were found to be within the Iraqi drinking water quality standards (0.2 mg/l).
Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation

Precise iris segmentation is a very important part of accurate iris recognition. Traditional iris segmentation methods require complex prior knowledge and pre- and post-processing and have limited accuracy under non-ideal conditions. Deep learning approaches outperform traditional methods. However, the limitation of a small number of labeled datasets degrades their performance drastically because of the difficulty in collecting and labeling irises. Furthermore, previous approaches ignore the large distribution gap within the non-ideal iris dataset due to illumination, motion blur, squinting eyes, etc. To address these issues, we propose a three-stage training strategy. Firstly, supervised contrastive pretraining is proposed to increase intra-class compactness and inter-class separability to obtain a good pixel classifier under a limited amount of data. Secondly, the entire network is fine-tuned using cross-entropy loss. Thirdly, an intra-dataset adversarial adaptation is proposed, which reduces the intra-dataset gap in the non-ideal situation by aligning the distribution of the hard and easy samples at the pixel class level. Our experiments show that our method improved the segmentation performance and achieved the following encouraging results: 0.44%, 1.03%, 0.66%, 0.41%, and 0.37% in the Nice1 and 96.66%, 98.72%, 93.21%, 94.28%, and 97.41% in the F1 for UBIRIS.V2, IITD, MICHE-I, CASIA-D, and CASIA-T.
Knowledge and Ambidexterity’s Impact on Product Innovation

This paper aims to evaluate the relationship between external sources of knowledge and innovation ambidexterity and then analyze how innovation ambidexterity improves product innovation. This study presents evidence based on a sample of 355 low-medium-tech (LMT) firms participating in the National Survey of Innovation in the Manufacturing Industry and Knowledge-Intensive Service Firms in Peru. A structural equation model approach was applied. The results indicate a positive relationship between external sources of knowledge and exploration and exploitation, and technological innovation improves product innovation. These results provide more profound knowledge about how LMT firms in an emerging economy can apply open innovation practices to develop innovation ambidexterity, thus enhancing their product innovation capability.
An Efficient Method for Detection of Masses in Mammogram Images

Abstract. Breast cancer is one of the most common cancers among women. Mammography is currently the most effective method for early detection of breast cancer. In this paper, a method is proposed for detecting masses in mammogram images. First, based on a specific algorithm, image is segmented and a number of the suspicious regions are obtained. Then, many features are extracted from these regions. To reduce the features, a supervised feature selection method is used. In the final step, a cost-sensitive classifier has been used for classification of the samples. This approach was tested on all images having mass from mini-MIAS data set. Based on the classification results, the percentage of true positive detection rate was 91% false-positive detection was 14% and the area under ROC curve was achieved 96%.
Relationship between physicochemical characteristics and gene expression in lettuce as a tool for genetic improvement

Alface ( Lactuca sativa L.) is a leafy vegetable worldwide consumed. It is found in its constitution vitamins and minerals, as well as bioactive compounds, such as phenolic compounds, flavonoids and anthocyanins. Since anthocyanins are responsible for the red color of the leaves and in the body prevents the appearance of non-communicable chronic diseases by the fight against free radicals. The lettuce for being present in the diet of the population becomes a promising plant for biofortification with the selection of plants with high levels of anthocyanins. The objective of the present work was to study the quantitative distribution of anthocyanin in leaves of lettuce plants of a segregating F2 population obtained from the initial crossing between two color contrasting parents (green and red). The color, anthocyanin and flavonoid contents, as well as color correlation with anthocyanin content and the heritability of these characteristics. It was concluded that the anthocyanin content in leaves of lettuce is controlled by more than one gene with partial dominance of the genes that confer higher levels. Intense red coloration can be used as an alternative in lettuce breeding programs to identify superior lettuce genotypes with high anthocyanin content. Transgressive segregation as well as the higher heritability values observed in the studied traits will allow selecting in segregating generations, superior genotypes in accordance with the proposed objectives.
GridNetOpt: Fast Full-Chip EM-Aware Power Grid Optimization Accelerated by Deep Neural Networks

This article presents a fast full-chip electromigration (EM) aware IR drop constrained optimization framework, named GridNetOpt, for on-chip power grid networks accelerated by deep neural networks (DNNs). Compared to the existing linear programming-based methods, the new method employs more flexible conjugate gradient-based optimization to size the wire width of the power grids. To mitigate the high cost of sensitivity calculation of the adjoint network using full-chip IR drop analysis at every iteration step, the sensitivity is computed via a trained conditional generative adversarial network (CGAN). The new method exploits the differentiable characteristics of DNNs for fast sensitivity computation. The sensitivity, which is the node voltage with respect to wire resistance, will guide the search direction during the optimization process. In order to consider more accurate EM failure effects, the training data is obtained from the power grids under different wire widths and current loads analyzed by a state-of-the-art full-chip multiphysics-based coupled EM-IR drop analysis tool. This is in contrast with the existing linear programming-based methods, in which only immortal wires or wires with nonzero resistance can be dealt with. Numerical results on a number of synthesized power grid benchmarks from ARM Cortex-M0 processor designs show that the proposed GridNetOpt can lead to at least an order of magnitude speedup over the conjugate gradient-based method using the traditional adjoint network method. Compared to the previous localized power grid fixing work with GridNet, GridNetOpt leads to smaller area overhead for all the benchmarks we tested. It can also reduce IR drops for power grid circuits with immortal wires, which is not possible with the localized GridNet method.
The Impact of Tax Policy, System, and Administration on Small and Medium-Sized Enterprises in the Republic of Serbia: A Statistical Analysis of the Situation

ABSTRACT The aim of this paper is to research the impact of the tax system on SMEs inSerbia. A quantitative survey research was conducted, containing research questions referring to tax environment impact, its factors and incentives on growth. The sampling was purposive, and it consisted of responsible people in SMEs ( ). The main attitude of our respondents and the conclusion of the research is that the level of tax bureaucracy, as well as unprofessional tax administration created an unstimulating tax environment for SMEs. Not only did this environment make no impact on gray economy and corruption reduction but also supported them.
Clomifene and Assisted Reproductive Technology in Humans Are Associated with Sex-Specific Offspring Epigenetic Alterations in Imprinted Control Regions

Children conceived with assisted reproductive technology (ART) have an increased risk of adverse outcomes, including congenital malformations and imprinted gene disorders. In a retrospective North Carolina-based-birth-cohort, we examined the effect of ovulation drugs and ART on CpG methylation in differentially methylated CpGs in known imprint control regions (ICRs). Nine ICRs containing 48 CpGs were assessed for methylation status by pyrosequencing in mixed leukocytes from cord blood. After restricting to non-smoking, college-educated participants who agreed to follow-up, ART-exposed (n = 27), clomifene-only-exposed (n = 22), and non-exposed (n = 516) groups were defined. Associations of clomifene and ART with ICR CpG methylation were assessed with linear regression and stratifying by offspring sex. In males, ART was associated with hypomethylation of the PEG3 ICR [β(95% CI) = −1.46 (−2.81, −0.12)] and hypermethylation of the MEG3 ICR [3.71 (0.01, 7.40)]; clomifene-only was associated with hypomethylation of the NNAT ICR [−5.25 (−10.12, −0.38)]. In female offspring, ART was associated with hypomethylation of the IGF2 ICR [−3.67 (−6.79, −0.55)]. Aberrant methylation of these ICRs has been associated with cardiovascular disease and metabolic and behavioral outcomes in children. The results suggest that the increased risk of adverse outcomes in offspring conceived through ART may be due in part to altered methylation of ICRs. Larger studies utilizing epigenome-wide interrogation are warranted.
Project Longshot: An unmanned probe to Alpha Centauri

A preliminary design is presented for an unmanned probe to Alpha Centauri with a planned launch early in the 21st century. The probe would be assembled at the space station and take approx. 100 yrs to reach the nearest star. Several technologies must be developed in order for this mission to be possible. A pulsed fusion microexplosion drive with 1,000,000 secs of specific impulse is the primary enabling technology. A large, long life fission reactor with 300 kW power output is also required. Communications lasers would use a 0.532 micrometer wavelength since there is minimal power output by the stars in that frequency band. A laser with an input power of 250 kW would allow for a data rate of 1000 bits per second at maximum range. There are 3 types of information to be gathered by the probe: properties of the interstellar medium, characteristics of the three star Alpha Centauri system, and astrometry.