Miracle-dz/UniFAR-FTUs huggingface dataset:
AGE AND EDUCATION FACTORS TO CHOICE CONTRACEPTIVE WITH ATTITUDES ACCEPTORS ABOUT SIDE EFFECTS OF IMPLANTS

Family planning is an attempt to measure the number of children and the desired birth spacing of children. The Government of Indonesia then launched a program or method to prevent and delay pregnancy. Acceptors' attitudes about side effects were related to factors consisting of age, education and parity. The purpose of this study was to determine the relationship between contraceptive selection factors and attitudes of family planning acceptors at the Sifa Husada Nganjuk Clinic. The research design used is Correlational Analysis with a Cross-Sectional approach. Independent variables are factors that influence the choice of implant contraception. The dependent variable is the attitude of KB acceptors in dealing with the side effects of implants. The population in this study were all family planning acceptors at Sifa Husada Nganjuk Clinic with a sample of 54 respondents taken using the Cluster Random Sampling technique. Analysis using Chi Square and Spearman Rho with error rate (α = 0.05). The results showed that factor 1) Age value p = 0.808. 2) Education p = 0.403. The conclusion of this study is that there is a relationship between age and education factors with the attitude of family planning acceptors about the side effects of implants at Sifa Husada Nganjuk Clinic.
A DE BRUIJN'S IDENTITY FOR DEPENDENT RANDOM VARIABLES BASED ON COPULA THEORY

De Bruijn's identity shows a link between two fundamental concepts in information theory: entropy and Fisher information. In the literature, De Bruijn's identity has been stated under the assumption of independence between input signal and an additive noise. However, in the real world, the noise could be highly dependent on the main signal. The main aim of this paper is, firstly, to extend De bruijn's identity for signal-dependent noise channels and, secondly, to study how Stein and heat identities are related to De bruijn's identity. Thus, new versions of De Bruijn's identity are introduced in the case when input signal and additive noise are dependent and are jointly distributed according to Archimedean and Gaussian copulas. It is shown that in this generalized model, the derivatives of the differential entropy can be expressed in terms of a function of Fisher information. Our finding enfolds the conventional De Bruijn's identity as some remarks. Then, the equivalence among the new De Bruijn-type identity, Stein's identity and heat equation identity is established. The paper concludes with an application of the developed results in information theory.
Orbital stability of periodic waves and black solitons in the cubic defocusing NLS equation

Periodic waves of the one-dimensional cubic defocusing NLS equation are considered. Using tools from integrability theory, these waves have been shown in [5] to be linearly stable and the Floquet–Bloch spectrum of the linearized operator has been explicitly computed. We combine here the first four conserved quantities of the NLS equation to give a direct proof that small amplitude periodic waves are orbitally stable with respect to subharmonic perturbations, with period equal to an integer multiple of the period of the wave. We also show that the black soliton is an unconditional minimizer of a fourth-order energy functional, which gives a simple proof of orbital stability with respect to perturbations in H(R).
Paleogeographic Maps: Audience Insights on Portrayal of Ancient Terrain and Climate

Paleogeographic maps are one of the most used earth science communication tools, but their efficacy with audiences remains unin-vestigated. We present new data that begins to close this gap, gleaned from an intercept interview study of two communities— practicing geoscientists (i.e., “professionals”) and adults who visit locations where paleo-geographic maps are commonly displayed (“the public”). In this work, we sought to determine: (1) how commonly used paleo-geographic maps convey the terrain and climate of ancient Earth; and (2) how community perception informs new practices for creating paleogeographic maps. When presented with paleogeographic maps, the public can identify about three large-scale landscape features (often including mountains and ocean) but not smaller or more subtle geomorphic features (e.g., rivers, volcanos, or plains). In contrast, practicing geoscientists identify about five features at a variety of spatial scales. Given an example of a warm, wet landscape, public audiences can describe one of two components of portrayed climate (i.e., warm or wet), but are less adept at identifying both climate components. Professionals are better able to identify climate components but are only able to fully describe climate 55% of the time. Paleogeographic maps catalyze curiosity in both public and professional audiences, commonly prompting questions or hypotheses about how ancient Earth reached modern-day conditions or about the time period shown. Professional geoscientists also want more information on sources of data. Recommendations to enhance the efficacy of paleographic maps include adding data sources and employing an aesthetic with detailed bathymetric shading, high contrast, and explicit climate indicators.
Detection of Alzheimer’s Disease Using Logistic Regression and Clock Drawing Errors

Alzheimer’s disease is an incurable disorder that accounts for up to 70% of all dementia cases. While the prevalence of Alzheimer’s disease and other types of dementia has increased by more than 160% in the last 30 years, the rates of undetected cases remain critically high. The present work aims to address the underdetection of Alzheimer’s disease by proposing four logistic regression models that can be used as a foundation for community-based screening tools that do not require the participation of medical professionals. Our models make use of individual clock drawing errors as well as complementary patient data that is highly available and easily collectible. All models were controlled for age, education, and gender. The discriminative ability of the models was evaluated by area under the receiver operating characteristic curve (AUC), the Hosmer-Lemeshow test, and calibration plots were used to assess calibration. Finally, decision curve analysis was used to quantify clinical utility. We found that among 10 possible CDT errors, only 3 were informative for the detection of Alzheimer’s disease. Our base regression model, containing only control variables and clock drawing errors, produced an AUC of 0.825. The other three models were built as extensions of the base model with the step-wise addition of three groups of complementary data, namely cognitive features (semantic fluency score), genetic predisposition (family history of dementia), and cardio-vascular features (BMI, blood pressure). The addition of verbal fluency scores significantly improved the AUC compared to the base model (0.91 AUC). However, further additions did not make a notable difference in discriminatory power. All models showed good calibration. In terms of clinical utility, the derived models scored similarly and greatly outperformed the base model. Our results suggest that the combination of clock symmetry and clock time errors plus verbal fluency scores may be a suitable candidate for developing accessible screening tools for Alzheimer’s disease. However, future work should validate our findings in larger and more diverse datasets.
Wide Antral Circumferential Re-Ablation for Recurrent Atrial Fibrillation after Prior Pulmonary Vein Isolation Guided by High-Density Mapping Increases Freedom from Atrial Arrhythmias

Performing repeated pulmonary vein isolation (re-PVI) after recurrent atrial fibrillation (AF) following prior PVI is a standard procedure. However, no consensus exists regarding the most effective approach in redo procedures. We assessed the efficacy of re-PVI using wide antral circumferential re-ablation (WACA) supported by high-density electroanatomical mapping (HDM) as compared to conventional re-PVI. Consecutive patients with AF recurrences showing true PV reconnection (residual intra-PV and PV antral electrical potentials within the initial ablation line) or exclusive PV antral potentials (without intra-PV potentials) in the redo procedure were prospectively enrolled and received HDM-guided WACA (Re-WACA group). Conventional re-PVI patients treated using pure ostial gap ablation guided by a circular mapping catheter served as a historical control (Re-PVI group). Patients with durable PVI and no antral PV potentials were excluded. Arrhythmia recurrences ≥30 s were calculated as recurrences. In total, 114 patients were investigated (Re-WACA: n = 56, 68 ± 10 years, Re-PVI: n = 58, 65 ± 10 years). There were no significant differences in clinical characteristics including the AF type or the number of previous PVIs. In the Re-WACA group, 11% of patients showed electrical potentials only in the antrum but not inside any PV. At 402 ± 71 days of follow-up, the estimated freedom from arrhythmia was 89% in the Re-WACA group and 69% in the Re-PVI group (p = 0.01). Re-WACA independently predicted arrhythmia-free survival (HR = 0.39, 95% CI 0.16–0.93, p = 0.03), whereas two previous PVI procedures predicted recurrences (HR = 2.35, 95% CI 1.20–4.46, p = 0.01). The Re-WACA strategy guided by HDM significantly improved arrhythmia-free survival as compared to conventional ostial re-PVI. Residual PV antral potentials after prior PVI are frequent and can be easily visualized by HDM.
Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales

Heating from wildfires adds buoyancy to the overlying air, often producing plumes that vertically distribute fire emissions throughout the atmospheric column over the fire. The height of the rising wildfire plume is a complex function of the size of the wildfire, fire heat flux, plume geometry, and atmospheric conditions, which can make simulating plume rises difficult with coarser-scale atmospheric models. To determine the altitude of fire emission injection, several plume rise parameterizations have been developed in an effort estimate the height of the wildfire plume rise. Previous work has indicated the performance of these plume rise parameterizations has generally been mixed when validated against satellite observations. However, it is often difficult to evaluate the performance of plume rise parameterizations due to the significant uncertainties associated with fire input parameters such as fire heat fluxes and area. In order to reduce the uncertainties of fire input parameters, we applied an atmospheric modeling framework with different plume rise parameterizations to a well constrained prescribed burn, as part of the RxCADRE field experiment. Initial results found that the model was unable to reasonably replicate downwind smoke for cases when fire emissions were emitted at the surface and released at the top of the plume. However, when fire emissions were distributed below the plume top following a Gaussian distribution, model results were significantly improved.
Static Analysis of a Functionally Graded Beam under a Uniformly Distributed Load by Ritz Method

Static analysis of a functionally graded (FG) simply-supported beam subjected to a uniformly distributed load has been investigated by using Ritz method within the framework of Timoshenko and the higher order shear deformation beam theories. The material properties of the beam vary continuously in the thickness direction according to the power-law form. Trial functions denoting the transverse, the axial deflections and the rotation of the cross-sections of the beam are expressed in trigonometric functions. In this study, the effect of various material distributions on the displacements and the stresses of the beam are examined. Numerical results indicate that stress distributions in FG beams are very different from those in isotropic beams
Dynamical mechanisms of conducted vasoreactivity: minimalistic modeling study

Endothelial cells are cells lining the inner surface of the blood and lymphatic vessels, they separate the bloodstream from the deeper layers of the vascular wall. Earlier endothelium was considered only as a passive barrier between blood and tissues. However, it has now become apparent that endothelial cells, specifically reacting to different molecular signals generated locally and remotely, perform a variety of functions. Simulation of large vascular networks requires the development of specialized models of autoregulation of vascular tone. On the one hand, such models should have a strong support for cellular dynamics, on the other - be as computationally efficient as possible. A model of a two-dimensional cylindrical array of endothelial cells is proposed on the basis of the integral description by means of the whole-cell CVC. The process of propagation of hyperpolarizing and depolarizing pulses is investigated depending on the statistics of cell distribution between the two main types. Endothelial cells are considered as a dynamic system possessing bistability. Based on the articles, the results of the distribution of the resting-potential values were repeated, the propagation of the hyperpolarizing pulse was observed, the endothelial cell chain supported the propagation of the wave switching to a hyperpolarized state, and then the return wave returned to its original state.
Stability analysis and error estimates of local discontinuous Galerkin methods with implicit-explicit time-marching for the time-dependent fourth order PDEs

The main purpose of this paper is to give stability analysis and error estimates of the local discontinuous Galerkin (LDG) methods coupled with three specific implicit-explicit (IMEX) Runge–Kutta time discretization methods up to third order accuracy, for solving one-dimensional time-dependent linear fourth order partial differential equations. In the time discretization, all the lower order derivative terms are treated explicitly and the fourth order derivative term is treated implicitly. By the aid of energy analysis, we show that the IMEX-LDG schemes are unconditionally energy stable, in the sense that the time step τ is only required to be upper-bounded by a constant which is independent of the mesh size h . The optimal error estimate is also derived by the aid of the elliptic projection and the adjoint argument. Numerical experiments are given to verify that the corresponding IMEX-LDG schemes can achieve optimal error accuracy.
Learning through business unit failure: a study of individuals and mid-level managers

iii List of Tables . v List of Figures . vi Chapter 1: Introduction . 1 Chapter 2: Literature Review . 8 Broad Utility of Failure for Learning . 8 Research Framework . 11 Aftermath: Individuals . 12 Aftermath: Entrepreneurs . 17 Process: Individuals . 20 Process: Entrepreneurs . 25 Outcomes: Individuals . 28 Outcomes: Entrepreneurs . 30 Gaps in Existing Research . 31 Chapter 3: Research Method . 33 Sample . 33 Procedures . 35 Analytic Approach . 37 Chapter 4: Results . 39 Incoming Beliefs . 39 Aftermath . 41 Processes . 47 Outcomes . 51 Updated Beliefs . 54 Chapter 5: Discussion . 57 Implications . 59 Limitations of the Study. 61 Areas for Further Research . 64 Conclusion . 65 References . 67 Appendix A: Recruitment Email . 73 Appendix B: Subject Consent Form . 75 Appendix C: Qualitative Research Questions . 80
TRIM25 Suppresses Rabies Virus Fixed HEP-Flury Strain Production by Activating RIG-1-Mediated Type I Interferons

Rabies remains a great threat to public health worldwide. So far, the mechanism of rabies virus (RABV) infection is not fully understood, and there is no effective treatment for rabies. Identifying more host restriction factors of RABV will spur the development of novel therapeutic interventions against rabies. Accumulating studies suggest that tripartite motif-containing (TRIM) proteins have great effects on virus replication. TRIMs control the antiviral responses through either direct interaction with viral proteins or indirect regulation of innate immune signaling molecules in the host. The role of TRIM25 in rabies virus (RABV) infection is poorly understood. Using next-generation sequencing, we found that TRIM25 is upregulated during HEP-Flury infection. Knockdown of TRIM25 enhances HEP-Flury production, while overexpression of TRIM25 suppresses HEP-Flury replication. Knockdown of interferon α and interferon β weakens the anti-RABV response induced by TRIM25 overexpression, and potentiates RABV production. Furthermore, we found that TRIM25 regulates type-I interferon response by targeting retinoic acid-inducible gene I (RIG-I) during HEP-Flury infection. Knockdown of RIG-I weakens the anti-HEP-Flury response induced by TRIM25 overexpression, indicating that TRIM25 regulates RABV production via the RIG-I-IFN axis. In addition, we observed that TRIM25 does not directly interact with HEP-Flury structural proteins, suggesting that TRIM25 regulates HEP-Flury production indirectly. Taken together, our work identifies TRIM25 as a new host factor involved in HEP-Flury infection, which may be a potential target for the development of antiviral drugs against RABV.
Analysis of Comfort during Transfer by a Dual-Arm Care Robot Based on Human Body Pressure and Surface Electromyographic Signals

In-home elderly care faces a crucial challenge regarding mobility among essential assistive devices, for which dual-arm care robots present a viable solution. However, ensuring human comfort in human–robot interactions necessitate quantifiable standards. Currently, the field lacks accurate biomechanical model solutions and objective comfort evaluation. In response to this need, this study proposes a method for solving human–robot statics models based on real-time pressure and position information. Employing the Optitrack motion capture system and Tekscan pressure sensors, we collect real-time positional and pressure data. This information is then incorporated into our human–robot statics model, facilitating the instantaneous calculation of forces and moments within the human body’s sagittal plane. Building on this, comprehensive research literature review and meticulous questionnaire surveys are conducted to establish a comprehensive comfort evaluation function. To validate this function, experiments are performed to enable real-time assessment of comfort levels experienced during the process of transferring the human body. Additionally, the Noraxon surface electromyography (sEMG) sensors are utilized to capture real-time sEMG signals from the erector spinae, adductor muscles and quadratus lumborum, thereby providing objective validation for the comfort evaluation function. The experimental findings demonstrate that the proposed methodology for evaluating comfort achieves an accuracy rate of 85.1%.
Facets of value emerging through the operation of short food supply chains

ABSTRACT Short food supply chains (SFSCs) are market schemes that allow different types of value to emerge. In this work, we aimed to uncover these facets of value. To do so, we built upon two conceptual models: a Triple Layered Business Model Canvas and an eight-dimensional blueprint developed for our purposes. Then, we conducted two studies using these models as theoretical templates. In Study I, we followed a business model canvas perspective, aiming to portray the components that contribute to the generation of economic, functional, and social value produced in SFSCs. By drawing on a sample of farmers who participate in SFSCs, we developed regression models to uncover the antecedents of value. Our analysis revealed that the effectiveness of performed activities catalyses the economic value of SFSCs. In addition, the social value depends on the capacity of SFSCs to enhance local communities’ well-being and provide significant outreach. Finally, environmental value is associated with the distribution of products. In Study II, using data from a pool of experts, we assessed the importance of eight facets of value. Participants appraised economic, social, cultural, and environmental value as more important than the remaining dimensions. Our studies shed light on the dimensions of value created in SFSCs, also confirming the usefulness of business model canvases for understanding value creation processes. However, our work also offers a new framework for conceptualising supply chains’ value, distinguishing value into primary (which is produced and remains within SFSCs) and secondary (which extends beyond supply chain limits).
One-Year Handgrip Strength Change in Kindergarteners Depends upon Physical Activity Status

Free play in kindergarten can be roughly divided into fine and gross motor activities, but the effects of these activities on improving handgrip strength are unknown. Therefore, we aimed to compare one-year changes in handgrip strength and forearm flexor muscle size in children separated by preferred play in a kindergarten. One hundred and eleven children were recruited from a local kindergarten. They underwent handgrip strength and forearm muscle thickness measurements, and 95 (49 boys and 46 girls) underwent a second measurement one year after the first measurement. Class teachers assessed the physical activity of everyone in their class after the second measurement. Using three evaluation scores by the class teachers, we divided children into three groups based on the children’s preference to play in kindergarten (fine movement vs. gross motor movement). Handgrip strength did not change differently between groups across one year. However, children who liked active playing outside (i.e., gross motor activity) were stronger than others. Furthermore, children who like playing outside observed greater changes than the other groups in the ulna (right hand) and radius muscle thickness (left hand), suggesting that changes in forearm muscle size might be incongruent with changes in handgrip strength among the three activity groups.
Transparent-Reflective Switchable Glass Using Multi-layered Transition Metal Dichalcogenides

The molybdenum disulfide ($MoS_{2}$) offers high charge density and well-ordered layer structure for good charge balance in the transparent-reflective switchable glass. The electrically actuated device with $MoS_{2}$ counter electrode shows large modulation in the light reflectance between the reflective mirror and transparent bleached states. Under zero power consumption, 95 % of light reflectance of the mirror-state device can be maintained for 80 minutes, paving it a promising technology for energy-efficient applications.
Electrochemical Performance of a Spatially Distributed ECPrOx Reactor

In this contribution a spatially distributed Electrochemical Preferential Oxidation (ECPrOx) reactor is evaluated and the influence of the temperature, CO inlet concentration, feed flow rate and relative humidity on the polarization curve, the local current distribution and the CO outlet concentration, selectivity and conversion are investigated. For that, six different cases are studied under galvanostatic and potentiostatic operation. For Galvanostatic operation, it was observed that depending on the operation conditions, the bifurcation point as well as the frequency and amplitude of the oscillations can be modified. Additionally, several spatiotemporal profiles of the local current density were found. For potentiostatic operation, the spatiotemporal profiles are constant with time, however they are affected by the anode overvoltage. Finally, after the bifurcation point, the temporal averaged anode overvoltage and the CO outlet concentration is always lower for galvanostatic control.