Miracle-dz/UniFAR-FTUs huggingface dataset:
Akurasi Hitung Jumlah Eritrosit Metode Manual dan Metode Otomatis

In a laboratory, an erythrocyte is done by using hemocytometer and microscope. The task is to measure and assess the size and shape of the erythrocyte. But this procedure is time consuming, complex and tedious. As a solution to this problem, to provide an automated, cost-effective and efficient alternative to detection and counting of erythrocyte, hematology analyzers are used. However, false results related either to erythrocyte or other parameters from complete blood count may be observed in several instances. The objective study was to compare the accuracy of erythrocyte count results of automatic hematological analysis by the manual method. The study is an analytic survey with a cross-sectional design. Erythrocyte counting is done by using three types of control blood, namely high, normal and low, with 9 repetitions. In high control blood, the mean erythrocytes count by the manual method was 7.08 million/μl with a bias value of 1.4%, while that by the automated method was 7.03 million/μl with a bias value of 0.7%. The mean erythrocyte count in normal control blood by the manual method was 4.50 million/μl with a bias value of 0.9%, while that by the automated method was 4.4 million/μl with a bias value of 2.4%. And in low control blood, the mean erythrocyte count by the manual method was 1.72 million/μl with 4.4% bias value, while that the automated method was 1.67 million/μl with 1.2% bias value. Statistical analysis showed no significant difference in accuracy between the erythrocyte count of manual methods with automated methods.
Photometric Solutions of Three Eclipsing Binary Stars Observed from Dome A, Antarctica

Based on spectroscopic observations for the eclipsing binaries CSTAR 036162 and CSTAR 055495 with the WiFeS/2.3 m telescope at SSO and CSTAR 057775 with the Mage/Magellan I at LCO in 2017, stellar parameters are derived. More than 100 nights of almost-continuous light curves reduced from the time-series photometric observations by CSTAR at Dome A of Antarctic in i in 2008 and in g and r in 2009, respectively, are applied to find photometric solutions for the three binaries with the Wilson–Devinney code. The results show that CSTAR 036162 is a detached configuration with the mass ratio q = 0.354 ± 0.0009, while CSTAR 055495 is a semi-detached binary system with the unusual q = 0.946 ± 0.0006, which indicates that CSTAR 055495 may be a rare binary system with mass ratio close to one and the secondary component filling its Roche Lobe. This implies that a mass-ratio reversal has just occurred and CSTAR 055495 is in a rapid mass-transfer stage. Finally, CSTAR 057775 is believed to be an A-type W UMa binary with q = 0.301 ± 0.0008 and a fill-out factor of f = 0.742(8).
The ALMA view of the Antennae galaxy collision: How galaxy interaction triggers the formation of super star clusters

Abstract The Antennae galaxies are a spectacular example of a burst of star formation triggered by the encounter of two galaxies, being an ideal source to understand how the dynamics of galaxy mergers drives star formation. We present archive ALMA CO(3−2) and VLT near-IR H2 spectro-imaging observations, and new ALMA 13CO(2−1) and dust continuum observations, at ~50 pc resolution. Combining tracers of density and velocity structure of the gas and its energetics, we demonstrate that star formation involves a complex interplay of merger-driven gas dynamics and turbulence, and the dissipation of the gas kinetic energy. We focus on a compact, bright H2 source, associated with cold molecular gas and dust continuum emission, located where the velocity gradient in the interaction region is observed to be the largest. The characteristics of this source suggest that we are witnessing the formation, initiated by turbulent dissipation, of a cloud massive enough (~4×106M⊙) to form a super star cluster within 1 Myr.
Impact of different financial incentive structures on a web-based health survey: do timing and amount matter?

Aim: Financial incentives improve response to electronic health surveys, yet little is known about how unconditional incentives (guaranteed regardless of survey completion), conditional incentives, and various combinations of incentives influence response rates. We compared electronic health survey completion with two different financial incentive structures. Methods: We invited women aged 30-64 years enrolled in a U.S. healthcare system and overdue for Pap screening to complete a web-based survey after receiving a mailed human papillomavirus (HPV) self-sampling kit in a pragmatic trial. HPV kit returners (n = 272) and non-returners (n = 1,083) were allocated to one of two different incentive structures: (1) Unconditional: $5 pre-incentive only (n = 653); (2) Combined: $2 pre-incentive plus $10 post-incentive conditional on completion (n = 702). Chi-square tests evaluated whether survey completion differed by incentive structure within kit return groups or was modified by kit return status. For each incentive-by-kit status group, the cost-per-survey response was calculated as: ([number invited*pre-incentive amount] + [number responses*post-incentive amount]) / number responses. Results: Overall, survey response was higher in kit returners vs. kit non-returners (42.6% vs. 11.0%, P < 0.01), and survey response was higher in the combined (20.1%) vs. unconditional (14.4%) incentive group (P = 0.01). Kit return status did not modify the association between incentive type and survey response (P = 0.52). Among respondents, time to survey completion did not differ by incentive type among either kit returners or non-returners. Among returners, the cost-per-survey response was similar between groups ($13.57 unconditional; $14.15 combined); among non-returners, the cost was greater in the unconditional ($57.78) versus the combined ($25.22) group. Conclusion: A combined incentive can be cost-effective for increasing survey response in health services research, particularly in hard-to-reach populations.
Inhibition of Fungal Growth and Aflatoxin B1 Synthesis in Aspergillus flavus by Plasma-Activated Water

The gaseous reactive oxygen/nitrogen species (RONS) generated by cold atmospheric plasma (CAP) can effectively inactivate Aspergillus flavus (A. flavus) and prolong the shelf-life of food. Plasma-activated water (PAW) is the extension of cold plasma sterilization technology. Without the limitation of a plasma device, PAW can be applied to more scenarios of food decontamination. However, the efficacy of PAW as a carrier of RONS for eradicating A. flavus or inhibiting its growth remains unclear. In this study, the immediate fungicidal effect and long-term inhibitory effect of PAW on A. flavus were investigated. The results demonstrated that 60-min instant-prepared PAW could achieve a 3.22 log reduction CFU/mL of A. flavus and the fungicidal efficacy of PAW gradually declined with the extension of storage time. Peroxynitrite (ONOO−/ONOOH) played a crucial role in this inactivation process, which could damage the cell wall and membrane structure, disrupt intracellular redox homeostasis, and impair mitochondrial function, ultimately leading to fungal inactivation. In addition to the fungicidal effect, PAW also exhibited fungistatic properties and inhibited the synthesis of aflatoxin B1 (AFB1) in A. flavus. By analyzing the cellular antioxidant capacity, energy metabolism, and key gene expression in the AFB1 synthesis pathway, it was discovered that PAW can significantly reduce ATP levels, while increasing SOD and CAT activity during 5-d cultivation. Meanwhile, PAW effectively suppressed the expression of genes related to AFB1 synthesis.
Corporeality Affected by the Loss of a Loved One – Manifestations of the Body in the Experiences of Former Wards of Social Rehabilitation Centers

RESEARCH OBJECTIVE: The aim of the study was to investigate the bodily dimension of the loss of a loved one and ways of dealing with such an experience manifested in action. THE RESEARCH PROBLEM AND METHODS: The main research problem was formulated as a question: How do former wards of social rehabilitation centers experience and what meaning do they assign to the death of a loved one? The study used the biographical method, while the autobiographical narrative interview was used for data acquisition. THE PROCESS OF ARGUMENTATION: The theoretical framework of this study on the boundary situation of the death of a loved one is Karl Jasper’s approach as well as Edith Stein’s theory of empathy, from which analytical codes were derived was discussed. RESEARCH RESULTS: The death of a loved one experienced as a loss generates feelings that manifest in bodily forms of expression. The suffering resulting from the loss led to the development of new patterns of action: escapist and developmental-escapist. CONCLUSIONS, INNOVATIONS, AND RECOMMENDATIONS: The basic conclusion is that the loss of a love one as a boundary situation, when one is not looked after and lives alone leads to abnormal social functioning. Thus, such experiences should arouse a great deal of attention from people caring for children and youth.
Coping Strategies and Their Influencing Factors Among Nursing Student in Online Learning

Background: the challenge of success for nursing students is getting tougher with the implementation of online learning during the COVID-19 pandemic because it requires adjustments to learning methods that can cause stressors for students.Objective: this study aims to identify a description of the coping strategies used by students of the Faculty of Nursing, Universitas Padjadjaran in carrying out online lectures and the factors that influence them.Methods: this research was a cross sectional design. The population in this study was students of the Faculty of Nursing, Universitas Padjadjaran with a total sample of 271 students who were selected based on the proportional stratified random sampling technique. The instrument used is The Brief COPE questionnaire with 28 statement items,and questionnaire on factors that affect coping strategies with 40 statement items, then analyzed descriptively.Results: the results of the study showed that almost all respondents, namely 208 students (76.75%) had problem focused coping coping strategies. Problem solving skills are the highest factor in the use of coping strategies with a mean value of 0.8413 and physical health being the lowest factor with a mean value of 0.3210. Conclusion: further research is needed with the correlation method to be able to see the factors that influence the use of coping strategies.
Adaptive Iterated Extended KALMAN Filter for Relative Spacecraft Attitude and Position Estimation

This paper presents a novel adaptive iterated extended Kalman filter (AIEKF) for relative position and attitude estimation, taking into account the influence of model uncertainty. Considering a nonlinear stochastic discrete‐time system with unknown disturbance, the AIEKF algorithm adopts the Gauss‐Newton iterative optimization steps to implement a maximum a posteriori (MAP) estimation, and the switch‐mode combination technique is used to achieve the adaptive capability. The mean‐square estimation error (MSE) of the state estimate is derived. It is proved that the AIEKF can yield a smaller MSE than that of the traditional extended Kalman filter (EKF) or iterated extended Kalman filter (IEKF). The performance advantage of the AIEKF is illustrated via Monte Carlo simulations on a typical relative position and attitude estimation application. Through comparisons in different scenarios, the presented algorithm is shown to improve adaptability and ensure estimation accuracy.
Generation, Acceleration and Measurement of Attosecond Electron Beams from Laser-Plasma Accelerators

Accelerator-based light sources are extremely useful machines for investigating matter on a microscopic level, yet their capability for time-resolved research is limited by the femtosecond-scale duration of their radiation pulses. Attosecond beams could enhance these capacities enabling the measurement of most outer shell electron dynamics in molecular and atomic systems. However, one of the main challenges in this direction remains the generation of attosecond-scale electron bunches which can be used for ultrashort radiation generation or as probes themselves. The research presented in this thesis tackles this issue from two angles. First, mechanisms for ultrashort electron beam generation and acceleration in laser wakefield accelerators as promising, compact accelerator systems are investigated through particle-in-cell simulations. Both an optimised electron plasma injector, using upramp-assisted self-injection, and an external injection setup with the plasma stage as an energy booster to a conventionally accelerated beam are capable of providing electron bunches of few hundred attoseconds duration. The externally injected beams are found to be limited in duration, but preserve well the initial high beam quality for energies up to gigaelectronvolts, while in self-injection high beam currents and ultrashort duration can be achieved, yet at some cost to beam quality and stability. As a second research branch, longitudinal beam profile diagnostics with sub-femtosecond resolution are examined as possible means for measuring such ultrashort electron beams. A first proof-of-principle experiment of a novel streaking device is presented and compared with measurements with an X-band radiofrequency deflecting cavity. Additional computational and theoretical studies provide insights into the possibilities and challenges to apply this new diagnostic technique to sub-femtosecond electron beams from conventional and novel accelerators.
Assessment of the pseudo-tracking approach for the calculation of material acceleration and pressure fields from time-resolved PIV: part I. Error propagation

Pseudo-tracking refers to the construction of imaginary particle paths from PIV velocity fields and the subsequent estimation of the particle (material) acceleration. In view of the variety of existing and possible alternative ways to perform the pseudo-tracking method, it is not straightforward to select a suitable combination of numerical procedures for its implementation. To address this situation, this paper extends the theoretical framework for the approach. The developed theory is verified by applying various implementations of pseudo-tracking to a simulated PIV experiment. The findings of the investigations allow us to formulate the following insights and practical recommendations: (1) the velocity errors along the imaginary particle track are primarily a function of velocity measurement errors and spatial velocity gradients; (2) the particle path may best be calculated with second-order accurate numerical procedures while ensuring that the CFL condition is met; (3) least-square fitting of a first-order polynomial is a suitable method to estimate the material acceleration from the track; and (4) a suitable track length may be selected on the basis of the variation in material acceleration with track length.
Design of CMOS Circuits for Electrophysiology

SUMMARY Electrophysiology, which is the study of the electrical properties of biological tissues and cells, has become indispensable in modern clinical research, diagnostics, disease monitoring and therapeutics. In this paper we present a brief history of this discipline and how integrated circuit design shaped electrophysiology in the last few decades. We will discuss how biopotential ampliﬁer design has evolved from the classical three-opamp architecture to more advanced high-performance circuits enabling long-term wearable monitoring of the autonomous and central nervous system. We will also discuss how these integrated circuits evolved to measure in-vivo neural circuits. This paper targets readers who are new to the domain of biopotential recording and want to get a brief historical overview and get up to speed on the main circuit design concepts for both wearable and in-vivo biopotential recording.
Statistical Multiresolution Estimators in Linear Inverse Problems - Foundations and Algorithmic Aspects

Applications of statistical multiresolution techniques in regression problems have attracted a lot of attention recently. The main reason for this is that the resulting statistical multiresolution (SMR) estimators are locally and multiscale adaptive, meaning that they automatically adjust to the smoothness of the true object on different scales and in different locations. In this dissertation, we introduce a novel algorithmic framework to compute SMR-estimators in practice. On a theoretical level, we take a rigorous and general approach to SMR-estimators by defining them as the solution of a constrained optimization problem. We present a derivation of this approach and show a consistency result. The actual computation is carried out via an Augmented Lagrangian method by means of which the problem is decomposed into an unconstrained minimization problem and a large-scale projection problem. The latter is tackled by Dykstra’s algorithm, a method which computes the projection onto the intersection of closed and convex sets by successively projecting onto single sets. These individual projections can be stated explicitly in our context which turns Dykstra’s algorithm into a particularly fast and hence appealing solution method. As a result, our methodology allows for treatment of comparatively large datasets. Especially two-dimensional datasets can be processed while most publications on the subject so far were restricted to a one-dimensional setting. When applied to regression problems, our method gives better results than state of the art methods in the field of SMR-estimation. Furthermore, our algorithm is the first that allows for computation of SMR-estimators for (possibly ill-posed) inverse problems. It can also be combined with a variety of penalty functions. We demonstrate the performance of SMR-estimators computed by our algorithmic framework by presenting numerical examples. Apart from processing synthetic test objects to assess the quality of the estimators in different settings, we also give a practical application from biophotonic imaging in which a large-scale deconvolution problem needs to be solved.
The Macro-Political Context and Interest Groups' Access to Policymakers

The article explores how macro-level political factors in conjunction with micro- and meso-level factors affect interest-group access to policymakers. The analysis is conducted based on two original data sets: a population ecology database of Czech, Hungarian, Polish and Slovenian national-level energy policy, healthcare and higher education organizations, and an online survey of these populations. Combining the two data sets allows us to investigate both polity-, population- and organizational-level factors. As the sampled countries have recently experienced democratic backsliding, we also test the effect of closing deliberative structures. The analysis reveals that the political process influences access: legislative fractionalization affects access positively, while the closure of deliberative structures has a negative effect. Nevertheless, the political contextual factors are mediated through variables at both the population (e.g. the size of latent constituency) and organizational (e.g. expertise provision) levels, as well as the meso-level of interorganizational cooperation.
Macroeconomic Factors Influencing Market Capitalization of Pakistan Stock Exchange (PSX)

Stock exchanges worldwide are discovering the best possible outcomes that can increase trading options in financial assets for potential investors. The principal purpose of the study is to provide an efficient and stable picture of market capitalization of Pakistan Stock Exchange (PSX) with various macroeconomic variables, which can be helpful to local and foreign investors. The study analyzed the secondary data from 1992 to 2021. Based on the theoretical background, various diagnostics were applied, precisely (ARDL) Autoregressive Distributed Lag methodology. Empirical outcomes confirmed that hypotheses regarding (FPE) Foreign Portfolio Equity, Inflation, (FDI) Foreign Direct Investment, and (GFCF) Gross Fixed Capital Formation affect market capitalization of PSX with significant positive behavior. Only Exchange Rate has significant negative relationship with PSX market capitalization. This study suggests that PSX-listed companies and policymakers require significant attention to improve their operations and increase the market capitalization of firms to catch the capital from potential investors. The government should watch the exchange rate and inflation-controlling factors for the sustainable development of Pakistan in the long run. However, this study has various limitations, such as limited time, resources, and specific data.
Bridge Crack Detection Based on Attention Mechanism

With the strong support of the country for bridge construction and the increase in supervision of the safety of old bridges, the visual-based bridge crack target detection has a problem of incomplete target framing due to the characteristics of the bridge crack target, reflecting the current algorithm model's poor ability to accurately identify targets. In this paper, YOLO V5 algorithm was used to address the issue of poor accuracy in bridge crack target detection, and a relevant bridge crack detection dataset was created. Three attention mechanisms, SENet, ECALayer, and CBAM, were respectively fused to improve the model's feature fusion part, and comparative experiments were conducted. The experimental results show that the improved algorithm has increased from 80.5% to 87% in mAP50-95 indicators compared to the original algorithm.
Simplified calculation of the long-term deflection of reinforced concrete flexural members

Abstract In the structural design of many reinforced concrete members, the deflection of a given span is controlled by limiting the calculated deflection to a preselected maximum value. AS3600 permits the estimation of both the short-term and long-term components of the final deflection by either refined calculation or simplified calculation, the latter of which is the focus here. In this option, the short-term deflection component has, for many years, been predicted using Branson’s equation to determine an effective second moment of area I ef for the span which is then used in standard elastic deflection formulae. However, it has been demonstrated that this equation underestimates the short-term deflection of laboratory specimens, significantly so for lightly reinforced concrete slabs. Much better predictions have been obtained using a modified formula for I ef derived from the Eurocode 2 approach for deflection calculation, and this has been proposed for inclusion in the next revision of AS3600. The long-term deflection component can be predicted using either a simple multiplier k cs or by calculating the deflections due to shrinkage and creep separately. Both of these approaches are examined here. Predicted long-term deflections are compared with the measured results of long-term tests on beams and one-way slabs reported in the literature, and conclusions are drawn.