Miracle-dz/UniFAR-FTUs huggingface dataset:
Bubble entrapment through topological change

When a viscous drop impacts onto a solid surface, it entraps a myriad of microbubbles at the interface between liquid and solid. We present direct high-speed video observations of this entrapment. For viscous drops, the tip of the spreading lamella is separated from the surface and levitated on a cushion of air. We show that the primary mechanism for the bubble entrapment is contact between this precursor sheet of liquid with the solid and not air pulled directly through cusps in the contact line. The sheet makes contact with the solid surface, forming a wetted patch, which grows in size, but only entraps a bubble when it meets the advancing contact line. The leading front of this wet patch can also lead to the localized thinning and puncturing of the liquid film producing strong splashing of droplets.
Corticocerebellar White Matter Integrity Is Related to Naming Outcome in Post-Stroke Aphasia

Abstract Studies have shown that the integrity of white matter tracts connecting different regions in the left cerebral hemisphere is important for aphasia recovery after stroke. However, the impact of the underlying structural connection between the cortex and the cerebellum in post-stroke aphasia is poorly understood. We studied the microstructural integrity of the cerebellum and the corticocerebellar connections and their role in picture naming. Fifty-six patients with left cerebral infarcts (sparing the cerebellum) underwent diffusion tensor imaging (DTI) and Boston Naming Test. We compared the fractional anisotropy (FA) and mean diffusivity (MD) values of the right and the left cerebellum (lobular gray and white matter structures) and cerebellocortical connections. Recursive feature elimination and Spearman correlation analyses were performed to evaluate the relationship between naming performance and the corticocerebellar connections. We found that the right, relative to left, cerebellar structures and their connections with the left cerebrum showed lower FA and higher MD values, both reflecting lower microstructural integrity. This trend was not observed in the healthy controls. Higher MD values of the right major cerebellar outflow tract were associated with poorer picture naming performance. Our study provides the first DTI data demonstrating the critical importance of ascending and descending corticocerebellar connections for naming outcomes after stroke.
Exploring Parental Perspectives on Dropout from Treatment for Adolescent Depression

ABSTRACT Talking therapies are the first line of treatment for adolescent depression, yet dropout rates are high. Despite parents being considered primary stakeholders in a child’s mental health treatment, there is a lack of qualitative research on their perspectives on adolescent dropout. This study aimed to explore parents’ perspectives on why their adolescent children dropped out of therapy. Interviews with 12 parents whose adolescent children had dropped out of therapy were purposively selected from a larger dataset to explore their understanding of why their children had stopped going to therapy. Interviews were analyzed using thematic analysis and five key themes were identified: practical barriers to therapy; adolescent’s readiness to work with the therapist; relationship difficulties between adolescent and therapist; perceived helpfulness of the therapy; and parents being unaware of why their child ended therapy. Involving parents throughout the therapeutic process could be helpful as they are uniquely positioned to suggest how best to support their child. Services should provide information on the types of therapy, and different therapists, available to adolescents prior to treatment starting. Difficulties in the therapeutic relationship should be addressed in the moment to reduce rupture and, therefore, risk of drop out.
Bilinear Discretization of Integrable Quadratic Vector Fields: Algebraic Structure and Algebro-Geometric Solutions

This thesis discusses the integrability properties of a class of bilinear discretizations of integrable quadratic vector fields, the so called Hirota-Kimura type discretizations. This method tends to produce integrable birational mappings. The integrability properties of these mappings are discussed in detail and where possible solved exactly in terms of elliptic functions or their relatives. Integrability of the mappings under consideration is typically characterized by conserved quantitites, invariant volume forms and particular invariance relations, formulated in the language of so called HK bases. After a short introduction into the theory of finite dimensional integrable systems in the continuous and discrete setting, a general methodology for discovery and proof of integrability of birational mappings is developed. This methodology is based on the concept of HK bases. Having recalled the basics of the theory of elliptic functions, the relations between HK bases and elliptic solutions of integrable birational mappings is explored. This makes it possible to formulate a general approach to the explicit integration of integrable birational mappings, provided they are solvable in terms of elliptic functions. The appealing feature of this approach is that it does not require knowledge of additional structures typically characterizing integrability (e.g. Lax pairs). Having discussed the general properties of the HK type discretizations, several examples are discussed with the help of the previously introduced methods. In particular, discretizations of the following systems are considered: Euler top, Zhukovsky-Volterra system, three and four dimensional periodic Volterra systems, Clebsch system, Kirchhoff System, and Lagrange top. HK bases, conserved quantities and invariant volume forms are found for all examples. Furthermore, explicit solutions in terms of elliptic functions or their relatives are obtained for the Volterra systems and the Kirchhoff system. Methodologically this work is based on the concept of experimental mathematics. This means that discovery and proof of most of the presented results are based on computer experiments and the usage of specialized symbolic computations.
Human Activity Discovery With Automatic Multi-Objective Particle Swarm Optimization Clustering With Gaussian Mutation and Game Theory

Despite many advances in Human Activity Recognition (HAR), most existing works are conducted with supervision. Supervised methods rely on labeled training data. However, obtaining labeled data is difficult, costly, and time-consuming. In this paper, we introduce an automatic multi-objective particle swarm optimization clustering based on Gaussian mutation and game theory (MOPGMGT) to provide fully unsupervised human activity discovery. Furthermore, we map the multi-objective clustering problem to game theory to get the best optimal solution. The proposed algorithm can accurately find the number of activities without any prior knowledge. Multi-objective optimization problems typically cannot have a single optimal solution. We solve this problem by applying, Nash Equilibrium (NE) to the pareto front as the decision-making for choosing the best solution. NE does not just look for the best solution but tries to optimize the final solution by considering the effect of choosing each of the solutions as the best solution on the other solutions and one with the best impact is chosen. Moreover, a Gaussian mutation is applied on the pareto front to avoid premature convergence. As far as we know, this is the first time that human activity discovery is performed fully unsupervised, and a multi-objective PSO is mapped to the game theory space for finding the best solution. Experiments on six challenging human activity datasets demonstrate the capability of the proposed approach in achieving the best accuracy in human activity discovery and determining the optimal number of clusters. In comparison to well-known multi-objective algorithms, the MOPGMGT significantly improves the clustering outcomes on six benchmark clustering datasets.
Astrocytic TRPV4 Channels and Their Role in Brain Ischemia

Transient receptor potential cation channels subfamily V member 4 (TRPV4) are non-selective cation channels expressed in different cell types of the central nervous system. These channels can be activated by diverse physical and chemical stimuli, including heat and mechanical stress. In astrocytes, they are involved in the modulation of neuronal excitability, control of blood flow, and brain edema formation. All these processes are significantly impaired in cerebral ischemia due to insufficient blood supply to the tissue, resulting in energy depletion, ionic disbalance, and excitotoxicity. The polymodal cation channel TRPV4, which mediates Ca2+ influx into the cell because of activation by various stimuli, is one of the potential therapeutic targets in the treatment of cerebral ischemia. However, its expression and function vary significantly between brain cell types, and therefore, the effect of its modulation in healthy tissue and pathology needs to be carefully studied and evaluated. In this review, we provide a summary of available information on TRPV4 channels and their expression in healthy and injured neural cells, with a particular focus on their role in ischemic brain injury.
KNOX Genes Were Involved in Regulating Axillary Bud Formation of Chrysanthemum × morifolium

Branching is an important agronomic and economic trait in cut chrysanthemums. The axillary meristem (AM) formation of the axillary buds of cut chrysanthemums has a decisive role in its branching characteristics. However, little is known about the regulation mechanism of axillary meristem formation in chrysanthemums at the molecular level. Members of the Homeobox gene family especially genes belonging to the class I KNOX branch play a key role in regulating the axillary bud growth and development processes of plants. In this study, three genes belonging to the class I KNOX branch, CmKNAT1, CmKNAT6, and CmSTM were cloned from chrysanthemums, and their functions in regulating axillary bud formation were examined. The subcellular localization test showed that these three KNOX genes were expressed in the nucleus, so all of them might function as transcription factors. The results of the expression profile analysis showed that these three KNOX genes were highly expressed in the AM formation stage of axillary buds. Overexpression of KNOX genes result in a wrinkled leaf phenotype in tobacco and Arabidopsis, which may be related to the excessive division of leaf cells, resulting in the proliferation of leaf tissue. Furthermore, overexpression of these three KNOX genes enhances the regeneration ability of tobacco leaves, indicating that these three KNOX genes may participate in the regulation of cell meristematic ability, thus promoting the formation of buds. In addition, the results of fluorescence quantitative testing showed that these three KNOX genes may promote the formation of chrysanthemum axillary buds by promoting the cytokinin pathway while inhibiting the auxin and gibberellin pathways. In conclusion, this study demonstrated that CmKNAT1, CmKNAT6, and CmSTM genes were involved in regulating axillary bud formation of Chrysanthemum × morifolium and preliminarily revealed the molecular mechanism of their regulation of AM formation. These findings may provide a theoretical basis and candidate gene resources for genetic engineering breeding of new varieties of cut chrysanthemums without lateral branches.
The Effectiveness of The Virtual Lab-Assisted Guided Discovery Learning Model on Students’ Science Process Skills

This study aims to determine students’ science process skills after using the guided discovery model assisted by the virtual PhET lab on vibration and wave materials and the effectiveness of applying the guided discovery learning model assisted by the virtual PhET lab. This research was conducted at a junior high school, SMPN 2 Siak. The research method used is quasi-experimental with a posttest-only control group design. The sample of this study is the experimental class and the control class. Each class has 33 students. The research data was obtained by using a science process skill test instrument. The results showed that the average process skills of the experimental class = 76.76 and the control class = 57.23. The results of the t-test using SPSS software were obtained with (sig) 0.000 < 0.05 . It was concluded that the guided discovery learning model assisted by the virtual lab PhET was more effectively used to improve students’ process skills.
The Effect of Internal Control Systems and Accounting Information Systems on the Quality of Financial Statements PT. Gudang Garam, Tbk and PT. Wilmar Group

This research aims to explain how the influence of Internal Control Systems and Accounting Information Systems on the Quality of Financial Statements. Quantitative method used in this research. The population in this study is PT Gudang Garam Tbk and PT Wilmar Group. The sampling technique using a purposive sampling technique was taken based on the criteria for obtaining it, meaning that the information obtained was based on predetermined criteria, namely the finance and accounting departments. The sample of this research is 37 respondents. Methods of data collection using the survey method, namely the authors disseminate directly to the respondents. Data analysis techniques in this study used descriptive statistical tests, data quality tests, classical assumption tests, multiple linear regression tests, and hypothesis testing. this study found that there is a positive insignificant effect between the Internal Control System on the Quality of Financial Statements There is a significant positive impact between accounting information systems and the quality of financial statements.
HEAT AND MASS TRANSFER IN DRYING OF CARROT BY RADIO FREQUENCY ASSISTED HEAT PUMP DRYING

This study focused on the heat and mass transfer in radio (RF) assisted heat pump (HP) drying of carrots. The experimental drying of carrot by RF assisted HP drying method was conducted to evaluate the effect of RF power on drying efficiency including drying rate and heating rate. The input drying parameters were drying air temperature of 45 o C, drying air velocity of 2.5 m/s and RF power of 0, 0.5 and 1.5 kW, in which, RF power of 0 was corresponding to HP drying method. The experimental drying results showed that in RF assisted HP drying method, the drying rate and heating rate were improved as compared to HP drying. The drying time was 480, 375 and 335 minutes corresponding to RF power of 0, 0.5 and 1.5 kW. The temperature of drying material reached the drying air temperature in about 25 and 30 minutes corresponding to RF power of 1.5 and 0.5 kW. While in HP drying, the temperature of drying material reached nearly the drying air temperature value in about 310 minutes. Besides, the comparison between the heat and mass equations solving results and experimental drying data was also carried out with the analysis results confirmed that the predicted data by numerically solving the heat and mass transfer equations could be used to predict the experimental data accurately.
Vitamin D, Albumin, and D-Dimer as Significant Prognostic Markers in Early Hospitalization in Patients with COVID-19

SARS-CoV-2 continues to pose a major challenge to scientists and clinicians. We examined the significance of the serum concentrations of vitamin D, albumin, and D-dimer for the severity of the clinical picture and mortality in COVID-19. Materials and methods: A total of 288 patients treated for COVID-19 infection participated in the research. The patients were treated in the period from May 2020 to January 2021. All patients were divided based on the need for oxygen therapy (Sat > 94%) into patients with mild or severe clinical pictures. The biochemical and radiographic parameters of the patients were analyzed. Appropriate statistical methods were used in the statistical analysis. Results: In patients with COVID-19 with confirmed severe clinical pictures, lower values of serum albumin (p < 0.0005) and vitamin D (p = 0.004) were recorded, as opposed to elevated values of D-dimer (p < 0.0005). Accordingly, the patients with fatal disease outcomes had lower levels of albumin (p < 0.0005) and vitamin D (p = 0.002), while their D-dimer (p < 0.0005) levels were elevated. An increase in the radiographic score, as a parameter for assessing the severity of the clinical picture, was accompanied by a decrease in serum albumin (p < 0.0005) and a simultaneous increase in D-dimer (p < 0.0005), without a change in the vitamin D concentration (p = 0.261). We also demonstrated the interrelations of the serum levels of vitamin D, albumin, and D-dimer in patients with COVID-19 as well as their significance as predictors of the outcome of the disease. Conclusion: The significance of the predictive parameters in our study indicates the existence of an important combined role of vitamin D, albumin, and D-dimer in the early diagnosis of the most severe patients suffering from COVID-19. Reduced values of vitamin D and albumin, in combination with elevated values of D-dimer, can be timely indicators of the development of a severe clinical picture and death due to COVID-19.
Random amenable C*-algebras

Abstract What is the probability that a random UHF algebra is of infinite type? What is the probability that a random simple AI algebra has at most k extremal traces? What is the expected value of the radius of comparison of a random Villadsen-type AH algebra? What is the probability that such an algebra is $\mathcal{Z}$ -stable? What is the probability that a random Cuntz–Krieger algebra is purely infinite and simple, and what can be said about the distribution of its K-theory? By constructing $\mathrm{C}^*$ -algebras associated with suitable random (walks on) graphs, we provide context in which these are meaningful questions with computable answers.
Laparorrhaphy in Patients with Colorectal Cancer, Enrique Cabrera Hospital, 2019-2021

Introduction: Until now, no ideal technique has been established that allows performing a laparotomic closure with a guarantee of greatly reducing the incidence of complications. Objective: To compare the results of abdominal wall closure using internal subtotal points (PS) and total points (PT) in patients operated on for colorectal cancer. Methodological design: An observational, descriptive, prospective and cross-sectional study was carried out at the General Teaching Hospital "Dr. Enrique Cabrera" between January 2019 and December 2021. Results: The median age in the PT group was 70 ± 18 years and in the PS 68 ± 18 years. 65% of the PT group and 61.7% of the PS were women. The tumor was located in the sigmoid colon in 35% of the PT cases and in 31.7% of the PS group. Surgery was urgent in 80% of the PT group and elective in 75% of the PS. The incision was medium supra and infraumbilical in 70% of the patients in the PT group and xipho-pubic in 66.7% of those in the PS. There was a median of 3 ± 2 and 1 ± 0 complications for the PT and PS group, respectively. The median hospital stay was 8 ± 6 days in the PT group and 7 ± 2 days in the PS. Conclusions: The results of the use of internal subtotal stitches in the closure of the abdominal wall were superior with respect to the total stitches.
Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks

The advent of simultaneous wireless information and power (SWIPT) has been regarded as a promising technique to provide power supplies for an energy sustainable Internet of Things (IoT), which is of paramount importance due to the proliferation of high data communication demands of low-power network devices. In such networks, a multi-antenna base station (BS) in each cell can be utilized to concurrently transmit messages and energies to its intended IoT user equipment (IoT-UE) with a single antenna under a common broadcast frequency band, resulting in a multi-cell multi-input single-output (MISO) interference channel (IC). In this work, we aim to find the trade-off between the spectrum efficiency (SE) and energy harvesting (EH) in SWIPT-enabled networks with MISO ICs. For this, we derive a multi-objective optimization (MOO) formulation to obtain the optimal beamforming pattern (BP) and power splitting ratio (PR), and we propose a fractional programming (FP) model to find the solution. To tackle the nonconvexity of FP, an evolutionary algorithm (EA)-aided quadratic transform technique is proposed, which recasts the nonconvex problem as a sequence of convex problems to be solved iteratively. To further reduce the communication overhead and computational complexity, a distributed multi-agent learning-based approach is proposed that requires only partial observations of the channel state information (CSI). In this approach, each BS is equipped with a double deep Q network (DDQN) to determine the BP and PR for its UE with lower computational complexity based on the observations through a limited information exchange process. Finally, with the simulation experiments, we verify the trade-off between SE and EH, and we demonstrate that, apart from the FP algorithm introduced to provide superior solutions, the proposed DDQN algorithm also shows its performance gain in terms of utility to be up to 1.23-, 1.87-, and 3.45-times larger than the Advantage Actor Critic (A2C), greedy, and random algorithms, respectively, in comparison in the simulated environment.
Analysing word order in the English imperative

This paper proposes that the syntax of inverted English imperatives such as Don’t you leave! assimilates to that of better studied polar interrogatives: both involve a conservative clause structure in which the subject occupies the specifier of IP and the clause-initial auxiliary has undergone I0-to-C0. Evidence from negation/ quantifier scope interactions and adverb placement argues against an alternative in which the subject is in the specifier of a projection below IP and the auxiliary is no higher than I0.
Quadrant Analysis in Turbulence Research: History and Evolution

Quadrant analysis is a simple, but quite useful, turbulence data-processing technique that has been widely used, principally in the investigation of turbulent shear flows. This article traces the origins of the technique and reviews how it has been applied during the more than 40 years since it was conceived. Applications are highlighted that have expanded the technique beyond its original formulation.
Quantum Hall hierarchies

The fractional quantum Hall effect, being one of the most studied phenomena in condensed matter physics during the past thirty years, has generated many groundbreaking new ideas and concepts. Very early on it was realized that the zoo of emerging states of matter would need to be understood in a systematic manner. The first attempts to do this, by Haldane and Halperin, set an agenda for further work which has continued to this day. Since that time the idea of hierarchies of quasiparticles condensing to form new states has been a pillar of our understanding of fractional quantum Hall physics. In the thirty years that have passed since then, a number of new directions of thought have advanced our understanding of the original hierarchy construction, and have extended it in new and unexpected ways. Among these directions is the extensive use of topological quantum field theories and conformal field theories, the application of the ideas of composite bosons and fermions, and the study of nonabelian quantum Hall liquids. This article aims to present a comprehensive overview of this field, including the most recent developments.