Miracle-dz/UniFAR-FTUs huggingface dataset:
2023 Chinese expert consensus on the impact of COVID-19 on the management of cardiovascular diseases

The primary site of infection in COVID-19 exhibit is the respiratory system, but multiple organ systems could be affected. The virus could directly invade cardiomyocytes. Alternatively, cytokine storm could lead to myocardial injury. More importantly, the management of existing cardiovascular diseases must be re-examined in COVID-19 due to, for example, interaction between antiviral agents and with a wide variety of pharmacological agents. The Branch of Cardiovascular Physicians of Chinese Medical Doctor Association organized a panel of experts in cardiovascular and related fields to discuss this important issue, and formulated the “2023 Chinese Expert Consensus on the Impact of COVID-19 on the Management of Cardiovascular Diseases. ” The Consensus was drafted on the basis of systematic review of existing evidence and diagnosis and treatment experience, and covers three major aspects: myocardial injury caused by COVID-10 and COVID-19 vaccine, the impact of COVID-19 on patients with cardiovascular disease, and the impact of COVID-19 on the cardiovascular system of healthy people, and rehabilitation guidance recommendations. The Consensus involves 11 core clinical issues, including incidence, pathogenesis, clinical manifestations, treatment strategies, prognosis, and rehabilitation. It is our hope that this Consensus will provide a practical guidance to cardiologists in the management of cardiovascular diseases in the new era of COVID-19 pandemic.
Stratospheric Influence on Tropopause Height: The Radiative Constraint

Abstract Earlier theoretical and modeling work introduced the concept of a radiative constraint relating tropopause height to tropospheric lapse rate and other factors such as surface temperature. Here a minimal quantitative model for the radiative constraint is presented and used to illustrate the essential physics underlying the radiative constraint, which involves the approximate balance between absorption and emission of thermal infrared (IR) radiation determining tropopause temperature. The results of the minimal model are then extended in two ways. First, the effects of including a more realistic treatment of IR radiation are quantified. Second, the radiative constraint model is extended to take into account non-IR warming processes such as solar heating and dynamical warming near the tropopause. The sensitivity of tropopause height to non-IR warming is estimated to be a few kilometers per K day−1, with positive warming leading to a lower tropopause. Sensitivities comparable to this are found in GCM.
WOMEN AND ADMINISTRATIVE LEADERSHIP POSITIONS IN LOCAL GOVERNMENT AUTHORITIES IN TANZANIA

Tanzania recognizes that gender equality and female empowerment are important for development of the country. Despite the government efforts in employment laws, policies and gender strategies to remove inequality, still there are under representation of female employees in senior leadership positions in many public sectors including Local Government Authorities. This paper aimed at examining factors that affect women's representation in top Administrative leadership positions in local government authorities in Mpanda District Councils. The study employed qualitative design to understand the barriers hindering female into top leadership positions. Mpanda District was used as a study case where by thirty (30) participants were selected purposively from senior positions, junior positions. Interview and focus group discussion methods for data collection were employed to collect primary data and secondary data were collected through documentary review. The study used thematic analysis in data analysis. The findings show that academic qualification, low selfconfidence, overburdens with domestic responsibilities, number of working days per year and poor institutional arrangements are among the challenges to have blocked women's penetration into top administrative leadership positions. Basing on the findings, its recommended that, there should be community mentorship at the family level to raise children with a mentality of equality, inspire young girls by inviting notable female leaders to address the students, encourage women and give them the chance for a higher degree, and provide frequent leadership training to young women in order to build their capacity. Generally, the study contributes to the addition of knowledge and literature on barriers facing women penetration in top leadership position which has been underresearched, specifically in Mpanda District
An efficient trajectory-clustering algorithm based on an index tree

With the development of location-based services, such as the Global Positioning System and Radio Frequency Identification, a great deal of trajectory data can be collected. Therefore, how to mine knowledge from these data has become an attractive topic. In this paper, we propose an efficient trajectory-clustering algorithm based on an index tree. Firstly, an index tree is proposed to store trajectories and their similarity matrix, with which trajectories can be retrieved efficiently; secondly, a new conception of trajectory structure is introduced to analyse both the internal and external features of trajectories; then, trajectories are partitioned into trajectory segments according to their corners; furthermore, the similarity between every trajectory segment pairs is compared by presenting the structural similarity function; finally, trajectory segments are grouped into different clusters according to their location in the different levels of the index tree. Experimental results on real data sets demonstrate not only the efficiency and effectiveness of our algorithm, but also the great flexibility that feature sensitivity can be adjusted by different parameters, and the cluster results are more practically significant.
The early stage of development of the wake behind an impulsively started cylinder for 40 < Re < 104

The time development of the symmetrical standing zone of recirculation, which is formed in the early stage of the flow due to a circular cylinder impulsively set in motion perpendicular to its generators, has been studied using a flow visualization technique. The Reynolds numbers (based upon the diameter) range from 40 to 104. Some new phenomena indicated in the flow patterns are revealed, and several different regimes are differentiated by a detailed analysis of the evolution of the main flow characteristics. A correlation with some theoretical results is established.
A hybrid discrete biogeography-based optimization for the permutation flow shop scheduling problem

The permutation flow shop scheduling problem (PFSP) which is known to be NP-hard has been widely investigated in recent years. In this paper, an effective hybrid discrete biogeography-based optimization (HDBBO) algorithm is proposed for solving the PFSP with the objective to minimise the makespan. Opposition-based learning method and the NEH heuristic are utilised in the HDBBO to generate an initial population with certain quality and diversity. Moreover, a novel variable local search strategy is presented and incorporated within the biogeography-based optimization framework to improve the exploitation ability. Computational results on two typical benchmark suits and comparisons with some state-of-the-art algorithms are presented to show the effectiveness of the HDBBO scheme.
A competitive branch-and-bound algorithm for the simple assembly line balancing problem

In this paper we present a branch-and-bound algorithm for solving the simple assembly line balancing problem of type 1 (SALB-1). The algorithm relies on the precedence tree guided enumeration scheme introduced for dealing with a broad class of resource-constrained project scheduling problems. The general enumeration scheme ranks among the most powerful algorithms for solving the wellknown single- and multi-mode resource-constrained project scheduling problem. By reformulating the SALB-1 as a resource-constrained project scheduling problem with a single renewable resource whose availability varies with time, the problem can be solved with the general algorithm. Only minor adaptations are necessary to implement an efficient assembly line balancing procedure. Taking into account SALB-1 specific information, the simplicity of the enumeration scheme allows one to generalize classical dominance concepts from Jackson and Johnson substantially. The computational complexity of some bounds is reduced, and the effec.
Mental skills training in elite sports environments: Current status of integration

The role of mental skills training (MST) in elite sports is continually growing in prominence as several studies have emphasized its value to athletes and coaches for several years. Fewer studies have investigated how MST might successfully be integrated into elite sports franchises, clubs, and teams. This study examined the current status of MST integration in these environments. It also explored the obstacles to successful integration and how these might be overcome. A qualitative approach and phenomenological design were employed to collect data via emailed open-ended questions and follow-up semi-structured in-depth interviews and the data was analysed through thematic analysis (TA). Thirty-five leaders working in elite sports participated. Findings revealed that while all participants (n = 35) endorsed the importance of MST in elite sports, 11% (n = 4) had incorporated it effectively into their environments. Unsuitable practitioners, a lack of leadership support, and insufficient time for successful application were highlighted as significant obstacles hindering successful integration. Recommendations to overcome these obstacles included the prioritisation of MST by leaders of elite sports environments, formulating bespoke MST strategies for their teams, clubs, or franchises, recruiting suitably qualified MST providers, and providing them with sufficient time and resources to effectively implement these strategies.
Taylor coefficients of mock-Jacobi forms and moments of partition statistics

Abstract We develop a new technique for deriving asymptotic series expansions for moments of combinatorial generating functions that uses the transformation theory of Jacobi forms and “mock” Jacobi forms, as well as the Hardy-Ramanujan Circle Method. The approach builds on a suggestion of Zagier, who observed that the moments of a combinatorial statistic can be simultaneously encoded as the Taylor coefficients of a function that transforms as a Jacobi form. Our use of Jacobi transformations is a novel development in the subject, as previous results on the asymptotic behavior of the Taylor coefficients of Jacobi forms have involved the study of each such coefficient individually using the theory of quasimodular forms and quasimock modular forms. As an application, we find asymptotic series for the moments of the partition rank and crank statistics. Although the coefficients are exponentially large, the error in the series expansions is polynomial, and have the same order as the coefficients of the residual Eisenstein series that are undetectable by the Circle Method. We also prove asymptotic series expansions for the symmetrized rank and crank moments introduced by Andrews and Garvan, respectively. Equivalently, the former gives asymptotic series for the enumeration of Andrews k-marked Durfee symbols.
Magneto-Optic Devices using Interaction between Magnetostatic Surface Wave and Optical Guided Wave

An analysis of the optical TE-TM mode conversion by magnetooptic effect induced by magnetostatic surface wave (MSSW) is discussed. A typical MSSW waveguide has a thick layer for the convenient excitation of MSSW. However, the waveguide is not a single mode waveguide but multi-mode for the optical wavelength of 1.3 [µm]. We propose here the multi-layer waveguide consisting of the thin and thick magnetic layers that improves the characteristics of optical mode conversion. The efficiency of 100% is achieved over the interaction length of about 1.0 [cm] for the applied microwave power density of a few [mW/mm].
Long-Term Course of Neural Autoantibody-Associated Psychiatric Disorders: Retrospective Data from a Specifically Immunopsychiatric Outpatient Clinic

Background: Autoantibody-associated psychiatric disorders are a new terrain that is currently underrepresented considering immunopsychiatry’s potential importance for therapeutic aspects. The aim of our research was thus to present initial pilot data on the long-term clinical course of our patients in an outpatient clinic specializing in autoantibody-associated psychiatric disorders. Methods: Thirty-seven patients were examined clinically in our outpatient clinic at regular intervals over a 1.5-year period. We collected clinical data on their demographics, psychopathology, and cognition, and magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) data as well as the status of neural autoantibodies in blood and/or serum. Results: Our main finding was that affective, psychotic, and cognitive symptoms did not change significantly over the 1.5-year period, thus revealing no progression. We divided the entire cohort of autoantibody-positive patients (n = 32) into subgroups consisting of patients with dementia (n = 14), mild cognitive impairment (MCI) (n = 7), psychotic disorders (n = 6), and a CSF profile of Alzheimer’s disease (n = 6). Relying on established classification schemes, we identified the following percentages in our autoantibody-positive cohort: 28% with autoimmune encephalitis, 15% with autoimmune psychosis, and 63% with autoimmune psychiatric syndromes. Discussion: These initial pilot results suggest that autoantibody-associated diseases do not show a significantly progressive course in the long-term and are often characterized by impaired verbal memory recall when cognitive impairment progresses to dementia. These initial data need to be verified in larger cohorts. We believe that this pilot study underscores the importance of promoting such a specialized outpatient clinic to better characterize various aspects of autoantibody-mediated psychiatric disorders.
Selectivity of mass extinctions: Patterns, processes, and future directions

A central question in the study of mass extinction is whether these events simply intensify background extinction processes and patterns versus change the driving mechanisms and associated patterns of selectivity. Over the past two decades, aided by the development of new fossil occurrence databases, selectivity patterns associated with mass extinction have become increasingly well quantified and their differences from background patterns established. In general, differences in geographic range matter less during mass extinction than during background intervals, while differences in respiratory and circulatory anatomy that may correlate with tolerance to rapid change in oxygen availability, temperature, and pH show greater evidence of selectivity during mass extinction. The recent expansion of physiological experiments on living representatives of diverse clades and the development of simple, quantitative theories linking temperature and oxygen availability to the extent of viable habitat in the oceans have enabled the use of Earth system models to link geochemical proxy constraints on environmental change with quantitative predictions of the amount and biogeography of habitat loss. Early indications are that the interaction between physiological traits and environmental change can explain substantial proportions of observed extinction selectivity for at least some mass extinction events. A remaining challenge is quantifying the effects of primary extinction resulting from the limits of physiological tolerance versus secondary extinction resulting from the loss of taxa on which a given species depended ecologically. The calibration of physiology-based models to past extinction events will enhance their value in prediction and mitigation efforts related to the current biodiversity crisis.
The complete mitochondrial genome of Aeschrocoristuberculatus and A.ceylonicus (Hemiptera, Pentatomidae) and its phylogenetic implications

﻿Abstract Aeschrocoristuberculatus and A.ceylonicus (Hemiptera, Pentatomidae, Pentatominae) are mainly distributed in southern China, India, Myanmar, and Sri Lanka. Both species are also common agricultural pests. However, only the morphology of the genus Aeschrocoris has previously been studied, and molecular data have been lacking. In this study, the whole mitochondrial genomes of A.tuberculatus and A.ceylonicus are and annotated. The lengths of the complete mitochondrial genomes of the two species are 16,134 bp and 16,142 bp, respectively, and both contain 37 typical genes, including 13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs), and a control region. The mitochondrial genome structure, gene order, nucleotide composition, and codon usage of A.tuberculatus and A.ceylonicus are consistent with those of typical Pentatomidae. Most PCGs of both species use ATN as the start codon, except atp8, nad1, and cox1, which use TTG as the start codon. cox1, cox2, and atp6 use a single T, and nad1 use TAG as the stop codon; the remaining PCGs have TAA as the stop codon. The A+T contents of the two species are 73.86% and 74.08%, respectively. All tRNAs have a typical cloverleaf structure, with the exception of trnS1, which lacks a dihydrouridine arm. The phylogenetic tree is reconstructed using the maximum-likelihood method based on the newly obtained mitochondrial genome sequences and 87 existing mitochondrial genomes of Pentatomoidea from the NCBI database and two species of Lygaeoidea as outgroups. The phylogenetic trees strongly support the following relationships: (Urostylididae + ((Acanthosomatidae + ((Cydnidae + (Dinidoridae + Tessaratomidae)) + (Scutelleridae + Plataspidae))) + Pentatomidae). This study enriches the mitochondrial genome database of Pentatomoidea and provides a reference for further phylogenetic studies.
Virtual constraints for the orbital stabilization of the Pendubot

A method for the generation of attractive and neutrally stable limit cycles for nonlinear systems is presented. It consists in designing an output that, when regulated through a suitable feedback, forces the existence of a limit cycle or neutral oscillations in the zero dynamics. Conditions are then given to ensure that those characteristics of the zero-dynamics translate to the whole system. A particular focus is made on the gen- eration of neutrally stable oscillations through that method, because it is not always easy to build an output that results in the existence of a limit-cycle in the zero-dynamics. A special case where such a difficulty arises is given in the analysis of oscillations generation around the up- per vertical for the pendubot. The regulation of the output results in neutrally stable oscillations, and we present a method for imposing that those oscillations converge towards the desired ones.
Extremely low-loss, dispersion flattened porous-core photonic crystal fiber for terahertz regime

Abstract. A porous-core octagonal photonic crystal fiber (PC-OPCF) with ultralow effective material loss (EML), high core power fraction, and ultra flattened dispersion is proposed for terahertz (THz) wave propagation. At an operating frequency of 1 THz and core diameter of 345 μm, simulation results display an extremely low EML of 0.047 cm−1, 49.1% power transmission through core air holes, decreased confinement loss with the increase of frequency, and dispersion variation of 0.15 ps/THz/cm. In addition, the proposed PCF can successfully operate in single-mode condition. All the simulations are performed with finite-element modeling package, COMSOL v4.2. The design can be fabricated using a stacking and drilling method. Thus, the proposed fiber has the potential of being an effective transmission medium of broadband THz waves.
Laser ablation effect of composite coating applied to aerospace material

This paper concentrates on the measurement and analysis of laser ablation effect of particularly prepared aerospace material, polycarbosilane (PCS). Laser ablation experiment setup is designed and built, based on a continuous-wave high-power solid-state laser (CWHPSSL). Metal-shell samples with composite PCS are prepared. Then a group of laser ablation experiments are performed on those samples. They are processed by laser beam with thousands of W/cm2. The results, including the ablation morphology and temperature data, are shown and discussed. Temperature data give a good demonstration of the protection effect of composite coating, and in the meanwhile the minor-morphologies in the ablated region hint the principle of PCS laser-proof effect. After that, a theoretical investigation is carried out. Fourier equation of heat conduction is applied to modeling the temperature field during ablation process. The simulation provides a good explanation on the principle of laser-proof effect of PCS composite coating. The results demonstrate that, with the protection of PCS composite coating, kilowatt-level laser only results in hundreds of Celcius temperature increment of steel substrate.
Rank classification of tensors over

We consider tensors of format over the finite field . We use computer algebra to classify these tensors by their tensor rank, thus determining the maximum tensor rank to be 9. As a corollary, we provide a new upper bound that the maximum rank of an order-n tensor of format , for , over is at most . We also determine that there are 261 canonical forms of the rank 9 (maximum rank) tensors under the action of , the semi-direct product of (a direct product of) general linear groups with the symmetric group on five elements.
Postpartum Depression and Its Contributing Factors among Mothers during the COVID-19 Pandemic in North Jakarta, Indonesia

Background: Postpartum depression is a common psychological problem that occurs after birth. It has become especially prevalent in the era of the COVID-19 pandemic. Several factors contribute to postpartum depression. However, a limited study evaluated factors contributing postpartum depression among mothers during the COVID-19 pandemic, particularly in Indonesia.Purpose: This study aimed to explore postpartum depression among mothers and its contributing factors during the COVID-19 pandemic.Methods: This study adopted a cross-sectional design. A total of 110 postpartum mothers were recruited by accidental sampling with the following inclusion criteria: mothers between one month and one year after birth, married, a singleton birth and the baby alive, and the mother is healthy with no complications. The Edinburgh Postnatal Depression Scale was used to measure postpartum depression. Descriptive statistics, t-test, Fisher exact test, one-way ANOVA, and logistic regression were performed to analyze the data.Results: The prevalence of postpartum depression during the pandemic period was 31.82%. Factors contributing to postpartum depression were the mother’s age (p=0.011), childcare stress (p=0.001), stressful life events (p=0.003), and pregnancy status (p=0.0001). A logistic regression showed that pregnant status (Unplanned/unwanted pregnancy) was the most contributor to postpartum depression (β=0.377, t=5.138, p=0.0001). Conclusion: This study identified a high rate of postpartum depression with related factors, including mother’s age, childcare stress, life stress, and unplanned/ unwanted pregnancy. Screening for postpartum depression is required to ensure early detection among postpartum mothers.