Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF SUPPLEMENTING L-CARNITINE ON PRODUCTIVE AND REPRODUCTIVE PERFORMANCE OF MAMOURA CHICKEN DURING THE WINTER SEASON

: The purpose of this study was to see how supplementing with L-carnitine affected the productive and reproductive performance of Mamoura chickens from 36 to 48 weeks of age during the winter season. A total number of 132 Mamoura laying hens (120 hens + 12 cocks), 36 weeks (wk.)-old, was used in a completely randomized design and randomly assigned into four dietary treatments as follow: L-carnitine at 0, 150, 300 and 450 mg/kg, each group was included on three replications (10 hens +1 cock in each replicate) and was kept until 48 weeks of age. Results revealed that supplementing different levels of L-carnitine resulted insignificant improvement in feed intake, laying %, fertility, hatchability % of fertile egg and hatchability % of setting egg. Also, the results showed that egg weight, egg mass, Chick weight at hatch liver weight % and heart weight % were significantly increased by feeding diets supplemented with L-carnitine. In hens fed diets supplemented with L-carnitine, feed conversion, mortality percent, serum albumin, cholesterol, serum triglycerides, low density lipoprotein, and aspartate transaminase enzyme levels were all significantly lower. It could be concluded that dietary L-carnitine fortified with300 or 450 mg/kg for Mamoura laying hens in winter led to improvement in productive and reproductive traits.
Kähler-Ricci flow with unbounded curvature

Abstract: Let $g(t)$ be a smooth complete solution to the Ricci flow on a noncompact manifold such that $g(0)$ is K\"ahler. We prove that if $|{\rm Rm}(g(t))|_{g(t)}$ is bounded by $a/t$ for some $a>0$, then $g(t)$ is K\"ahler for $t>0$. We prove that there is a constant $ a(n)>0$ depending only on $n$ such that the following is true: Suppose $g(t)$ is a smooth complete solution to the K\"ahler-Ricci flow on a noncompact $n$-dimensional complex manifold such that $g(0)$ has nonnegative holomorphic bisectional curvature and $|{\rm Rm}(g(t))|_{g(t)}\le a(n)/t$, then $g(t)$ has nonnegative holomorphic bisectional curvature for $t>0$. These generalize the results by Wan-Xiong Shi. As applications, we prove that (i) any complete noncompact K\"ahler manifold with nonnegative complex sectional curvature and maximum volume growth is biholomorphic to ${\Bbb C}^n$; and (ii) there is $\epsilon(n)>0$ depending only on $n$ such that if $(M^n,g_0)$ is a complete noncompact K\"ahler manifold of complex dimension $n$ with nonnegative holomorphic bisectional curvature and maximum volume growth and if $(1+\epsilon(n))^{-1}h\le g_0\le (1+\epsilon(n))h$ for some Riemannian metric $h$ with bounded curvature, then $M$ is biholomorphic to ${\Bbb C}^n$.
Strand Passage And Knotting Probabilities In An Interacting Self-Avoiding Polygon Model

The work presented in this thesis develops a new model for local strand passage in a ring polymer in a dilute salt solution. This model, called the Interacting Local Strand Passage (ILSP) model, models ring polymers via Θ-SAPs, which are self-avoiding polygons (SAPs) in the simple cubic lattice that contain a fixed structure Θ. This fixed structure represents two segments of the selfavoiding polygon being brought “close” together for the purpose of performing a strand passage. Θ-SAPs were first studied in the Local Strand Passage (LSP) model developed by Szafron (2000, 2009), where each Θ-SAP is considered equally likely in order to model good solvent conditions. In the ILSP model, each Θ-SAP has a modified Yukawa potential energy which contains an attractive term as well as a screened Coulomb potential that accounts for the effect of salt in the model. The energy function used in this model was first proposed by Tesi et al. (1994) for studying self-avoiding polygons in the simple cubic lattice. The ILSP model is studied in this thesis using the Interacting Θ-BFACF (I-Θ-BFACF) Algorithm, an algorithm which is developed in this thesis and is proven to be ergodic on the set of all Θ-SAPs of a particular knot type and connection class. The I-Θ-BFACF algorithm was created by modifying the Θ-BFACF algorithm developed by Szafron (2000, 2009) to include energy-based Metropolis sampling. This modification allows one to sample Θ-SAPs of a particular knot type and connection class based on a priori chosen solvent conditions. Multiple simulations (each consisting of 40 billion time steps) of composite Markov Chain Monte Carlo implementations of the I-Θ-BFACF algorithm are performed on unknotted connection class II Θ-SAPs (a.k.a Θ−-SAPs) over a wide range of salt concentrations. The data from these simulations is used to estimate, as a function of polygon length, the probability of an unknotted Θ−-SAP remaining an unknot after a strand passage, as well as the probability of it becoming a positive trefoil knot. The results strongly suggest that as the length of a Θ-SAP goes to infinity, the probability of the Θ-SAP becoming knotted after a strand passage increases as the salt concentration in the model increases. These results serve as a first step for studying how the knot reduction factor (studied by Liu et al. (2006) and Szafron and Soteros (2011)) of a ring polymer varies in differing solvent conditions. The goal of this future research is to find solvent conditions and a local geometry of the strand passage site that yields a knot reduction factor comparable to the research of Rybenkov et al. (1997), which shows an 80-fold reduction of knotting after type II topoisomerase enzymes act on DNA.
Self-energy of the Lorentzian Engle-Pereira-Rovelli-Livine and Freidel-Krasnov model of quantum gravity

We calculate the most divergent contribution to non-degenerate sectorof the self-energy (or “melonic”) graph in the context of the Lorentzian EPRL-FK Spin Foam model of Quantum Gravity. We find that such a contribution is logarithmically divergent in the cut-off over the SU(2)-representation spins when one chooses the face amplitude guaranteeing the facesplitting invariance of the foam. We also find that the dependence on the boundary data is different from that of the bare propagator. This fact has its origin in the non-commutativity of the EPRL-FK Y -map with the projector onto SL(2,C)-invariant states. In the course of the paper, we discuss in detail the approximations used during the calculations, its geometrical interpretation as well as the physical consequences of our result.
Formwork System Selection in Building Construction Projects Using an Integrated Rough AHP-EDAS Approach: A Case Study

The successful completion of reinforced concrete (RC) building construction projects depends, in part, on selecting the appropriate formwork system (FWS) since it may significantly affect the project’s cost, time, and quality performance factors. The selection of the FWS depends on a number of compromising and conflicting criteria, while several FWS alternatives may be available. Therefore, the FWS selection has mostly been treated as a multi-criteria-decision-making (MCDM) problem. Although various MCDM methods have been employed to address the FWS selection problem, none have considered the subjectivity and uncertainty arising from a group decision-making process. This study aims to fill this knowledge gap by proposing an integrated approach using recently developed MCDM methods with rough numbers. In the integrated approach, first, a decision-making team is formed to develop the decision hierarchy. Then, the rough analytic hierarchy process (R-AHP) is used to determine rough criteria weights, followed by the rough evaluation based on the distance from average solution (R-EDAS) method to rank the FWS alternatives. Finally, the results are compared using different rough MCDM methods to ensure the stability of the proposed approach. The proposed approach is applied to a real-life building construction project in Turkey to select the most appropriate FWS. The integrated approach was found to be effective, and it was recommended to be used for future FWS selection problems. The proposed integrated approach in this study may be used as a decision support tool for construction professionals and experts to select the FWS in building construction projects.
THE EFFECT OF RISK DISCLOSURE AND INVESTORS' ATTENTION ON IPOs INITIAL RETURN OF INDONESIAN COMPANIES

<p class="JurnalASSETSABSTRAK"><strong>ABSTRACT</strong></p><p class="JurnalASSETSisiabstract">The research objective is to examine and analyze the effect of internal risk disclosure, external risk disclosure, investment risk disclosure, and investors' attention on initial return. This research is causality research and uses secondary data. The population is a company that conducts IPOs on the Indonesia Stock Exchange (IDX) in the 2011-2018 period with 224 companies. The sampling technique used was purposive sampling and obtained a total of 210 companies. The research results stated that there is no effect of internal risk disclosure, external risk disclosure, and investment risk disclosure on initial returns. There is a significant positive effect of investors' attention on initial returns. </p><p class="JurnalASSETSisiabstract"><em><strong>ABSTRAK</strong></em></p><p class="JurnalASSETSisiabstract"><em>Tujuan penelitian yaitu menguji dan menganalisis pengaruh pengungkapan risiko internal, pengungkapan risiko eksternal, pengungkapan risiko investasi dan investor attention terhadap initial return. Penelitian ini merupakan penelitian kausalitas. Data yang digunakan sekunder. Populasi adalah perusahaan yang melakukan IPO di Bursa Efek Indonesia (BEI) pada periode 2011- 2018 dengan jumlah 224 perusahaan, teknik pengambilan sampel menggunakan purposive sampling dan diperoleh jumlah sampel penelitian sebanyak 210 perusahaan. Hasil penelitian antara lain, yaitu tidak terdapat pengaruh pengungkapan risiko internal, pengungkapan risiko eksternal dan pengungkapan risiko investasi terhadap initial return, terdapat pengaruh signifikan positif atensi investor terhadap initial return. </em></p>
Bounded rationality: are higher online review ratings always better for sales?

ABSTRACT Intuitively, high online review ratings should benefit sales. However, the previous findings show mixed results. The effect of online review ratings on purchases might vary by many factors. We utilize the bounded rationality theory to predict that consumers might seek to satisfice rather than maximize when they evaluate online review ratings to make purchase decisions. The effect of online review ratings on purchase decisions is likely to be concave if bounded rationality prevails in decision-making. If consumers seek a ‘good-enough’ level of online review ratings rather than the optimal rating, the marginal merit is smaller for higher ratings that are more than satisfactory. Findings from more than ten million consumer choices on Expedia.com indicate that the marginal effect of online review ratings on consumer decisions varies and the effect is concave.
Electron and ion Bernstein waves excited in the ionosphere by high power EM waves at the second harmonic of the electron cyclotron frequency

The transmission of a high power electromagnetic (EM) waves from the HAARP facility in Alaska can excite stimulated electromagnetic emissions offset from the transmitter frequency near harmonics of ion cyclotron frequency. Stimulated ion Bernstein (SIB) occurs when the pump frequency is tuned to an electron Bernstein (EB) frequency near twice the electron gyro frequency. The SIB process is thought to involve mode conversion from EM to EB waves followed by parametric decay of the EB wave to multiple EB and IB waves. The production of SIB waves may be an indicator of strong cyclotron acceleration of electrons by the EB waves that lead to artificial aurora and impact ionization of neutrals.
Pre-COVID brain functional connectome features prospectively predict emergence of distress symptoms after onset of the COVID-19 pandemic

Abstract Background Persistent psychological distress associated with the coronavirus disease 2019 (COVID-19) pandemic has been well documented. This study aimed to identify pre-COVID brain functional connectome that predicts pandemic-related distress symptoms among young adults. Methods Baseline neuroimaging studies and assessment of general distress using the Depression, Anxiety and Stress Scale were performed with 100 healthy individuals prior to wide recognition of the health risks associated with the emergence of COVID-19. They were recontacted for the Impact of Event Scale-Revised and the Posttraumatic Stress Disorder Checklist in the period of community-level outbreaks, and for follow-up distress evaluation again 1 year later. We employed the network-based statistic approach to identify connectome that predicted the increase of distress based on 136-region-parcellation with assigned network membership. Predictive performance of connectome features and causal relations were examined by cross-validation and mediation analyses. Results The connectome features that predicted emergence of distress after COVID contained 70 neural connections. Most within-network connections were located in the default mode network (DMN), and affective network-DMN and dorsal attention network-DMN links largely constituted between-network pairs. The hippocampus emerged as the most critical hub region. Predictive models of the connectome remained robust in cross-validation. Mediation analyses demonstrated that COVID-related posttraumatic stress partially explained the correlation of connectome to the development of general distress. Conclusions Brain functional connectome may fingerprint individuals with vulnerability to psychological distress associated with the COVID pandemic. Individuals with brain neuromarkers may benefit from the corresponding interventions to reduce the risk or severity of distress related to fear of COVID-related challenges.
Gamma-ray and X-ray Properties of Pulsar Wind Nebulae and Unidentified Galactic TeV Sources

We review properties of Galactic VHE sources detected at TeV energies. The number of associations between the VHE sources and pulsars has grown in recent years, making pulsar-wind nebulae the dominant population, although there is still a substantial number of VHE sources which remain to be identified. Among the latter there are several "dark" sources which do not have plausible counterparts at any other wavelengths. In this review we compile and compare the TeV and X-ray properties of pulsar wind nebulae (PWNe), PWN candidates, and unidentified TeV sources.
Development and Verification of Prognostic Prediction Models for Patients with Brain Trauma Based on Coagulation Function Indexes

Objective To assess the effect of adding coagulation indices to the currently existing prognostic prediction models of traumatic brain injury (TBI) in the prediction of outcome. Methods A total of 210 TBI patients from 2017 to 2019 and 131 TBI patients in 2020 were selected for development and internal verification of the new model. The primary outcomes include death at 14 days and Glasgow Outcome Score (GOS) at 6 months. The performance of each model is evaluated by means of discrimination (area under the curve (AUC)), calibration (Hosmer-Lemeshow (H-L) goodness-of-fit test), and precision (Brier score). Results The IMPACT Core model showed better prediction ability than the CRASH Basic model. Adding one coagulation index at a time to the IMPACT Core model, the new combined models IMPACT Core+FIB and IMPACT Core+APTT are optimal for the 6-month unfavorable outcome and 6-month mortality, respectively (AUC, 0.830 and 0.878). The new models were built based on the regression coefficients of the models. Internal verification indicated that for the prediction of 6-month unfavorable outcome and 6-month mortality, both the IMPACT Core+FIB model and the IMPACT Core+APTT model show better discrimination (AUC, 0.823 vs. 0.818 and 0.853 vs. 0.837), better calibration (HL, p = 0.114 and p = 0.317) and higher precision (Brier score, 0.148 vs. 0.141 and 0.147 vs. 0.164), respectively, than the original models. Conclusion Our research shows that the combination of the traumatic brain injury prognostic models and coagulation indices can improve the 6-month outcome prediction of patients with TBI.
3D Printed Solutions for Spheroid Engineering and Cancer Research

In multicellular organisms, cells are organized in a 3-dimensional framework and this is essential for organogenesis and tissue morphogenesis. Systems to recapitulate 3D cell growth are therefore vital for understanding development and cancer biology. Cells organized in 3D environments can evolve certain phenotypic traits valuable to physiologically relevant models that cannot be accessed in 2D culture. Cellular spheroids constitute an important aspect of in vitro tumor biology and they are usually prepared using the hanging drop method. Here a 3D printed approach is demonstrated to fabricate bespoke hanging drop devices for the culture of tumor cells. The design attributes of the hanging drop device take into account the need for high-throughput, high efficacy in spheroid formation, and automation. Specifically, in this study, custom-fit, modularized hanging drop devices comprising of inserts (Q-serts) were designed and fabricated using fused filament deposition (FFD). The utility of the Q-serts in the engineering of unicellular and multicellular spheroids-synthetic tumor microenvironment mimics (STEMs)—was established using human (cancer) cells. The culture of spheroids was automated using a pipetting robot and bioprinted using a custom bioink based on carboxylated agarose to simulate a tumor microenvironment (TME). The spheroids were characterized using light microscopy and histology. They showed good morphological and structural integrity and had high viability throughout the entire workflow. The systems and workflow presented here represent a user-focused 3D printing-driven spheroid culture platform which can be reliably reproduced in any research environment and scaled to- and on-demand. The standardization of spheroid preparation, handling, and culture should eliminate user-dependent variables, and have a positive impact on translational research to enable direct comparison of scientific findings.
The synergistic effect of microwave drying and plasma surface treatments on the wettability of green wood

In spite of being both a one-step solution to several problems associated with woodworking and also energy efficient, the application of microwave (MW) modification in wood research has remained very limited and this promising method has practically no use in wood industries across the globe. Research done so far in this field primarily sheds light on its potential in enhancing wood permeability, treatability and uniform wood drying. While MW treatments are mostly used on wet or green wood, another modification technique, plasma, has potential benefits to synergistically enhance the effects of MW treatment, but so far has not been applied on wet or green wood specimens. This study takes a first step to investigate the effects of plasma treatments (PT) on green wood specimens, as well as combinations of MW and plasma treatments. As a preliminary study, the methodology focuses on water contact angle measurements, since these are most commonly used as indicators for surface modifications in industrial applications. An exponential time dependence was found for the contact angle on the investigated samples of Norway spruce (Picea abies Karst.). Initial contact angles after droplet deposition increased due to drying and migration of organic molecules during treatments. In comparison with the literature, the effect of plasma was significantly less pronounced on wet wood specimens. The initial contact angles showed the lowest statistical variations after MW treatment, whereas plasma increased inhomogeneities. The final contact angles on treated specimens was lowest for PT-only specimens as well as specimens treated with plasma after MW. In contrast to the initial contact angles, the final contact angles showed the lowest variations after PT. Wetting rates were insignificantly improved by plasma, with reduced statistical variations after all treatments.
The Lyα Forest atz∼ 4: Keck HIRES Observations of Q0000−26

We derive H I column density and Doppler width distributions for a sample of Lyα clouds with 3.4 14.5 may be present. The Doppler width distribution of the clouds is consistent with a Gaussian function with a mean of 23 km s–1 and a dispersion of 8 km s–1 but with a cutoff at 15 km s–1, i.e., no clouds with b < 15 km s–1 are required to describe the data. While the H I column density distribution found here is consistent with that derived from similar quality data at lower redshifts, both the mean Doppler width and the cutoff value are smaller than those found at lower redshift. There is a hint for clustering in the clouds line-of-sight distribution in the velocity interval 100 < Δv < 160 km s–1, but the evidence is only marginal. Analyses of the proximity effect indicate a value of JLLν ~ 2 × 10–22 ergs s–1 cm–2 Hz–1 sr–1 for the mean intensity of the megagalactic UV ionizing background at z ~ 4.1, which is consistent with that expected from high-redshift quasars.
Perceived Walkability and Respective Urban Determinants: Insights from Bologna and Porto

Walking is undoubtedly a sustainable and healthy mode of transport. However, the decision to walk is influenced by many built environment and streetscape attributes. Specifically, the term walkability is used to describe the extent to which the urban environment is pedestrian-friendly, usually by quantifying multiple built environment attributes at the neighbourhood scale. The present study adopts a qualitative approach to evaluate perceived walkability. Based on a questionnaire (n = 1438) administered in the cities of Bologna and Porto, this paper analyses how respondents perceived and evaluated 19 built environment and streetscape attributes. An Exploratory Factor Analysis was carried out to examine the correlations between the various attributes and to identify the underlying walkability determinants. The analysis indicated that 13 attributes were highly correlated, resulting in four determinants: (i) urban ambiance, which includes land use and street design attributes, such as land use mix, enclosure, transparency, and architectural and landscape diversity; (ii) pedestrian infrastructure, which is related to sidewalk conditions; (iii) street connectivity and proximity to community facilities; and iv) access to other modes of transport. In turn, traffic safety and security were not correlated with perceived walkability in both cities. These findings suggest that specific urban design and pedestrian infrastructure attributes should be highly considered when formulating policies aiming to create more pedestrian-friendly cities, as well as in walkability studies and when developing walkability scores and indexes.
Handbook of Pulsar Astronomy

Introduction 1. Basic pulsar properties 2. Pulsars as physical tools 3. Theoretical background 4. Instrumentation for pulsar observations 5. Observing known pulsars 6. Finding new pulsars 7. Pulsar timing 8. Beyond single radio dishes Appendix.