Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Cage Stocking Density and Dietary Nutrient Density on Productive Performance, Egg Quality and Blood Parameters of Japanese Quail

This study was undertaken to investigate stocking density (SD) and nutrient density (ND) effects on productive performance, egg quality, carcass characteristics, and blood biochemical parameters of Japanese quails. Two hundred eighty-eight quails were randomly divided to 6 experimental groups (each with 4 replications) and kept at three rates of cage SD (277.8, 208.3 and 166.7 cm 2 /bird). Three of these groups were fed on a normal nutrient density diet and the second three groups were fed on a high nutrient density diet (105% of the recommended nutrient requirements for laying quails) and managed similarly from 7 to 19 weeks of age. Carcass characteristics and most blood parameters, certain criteria of productive performance of quails were not affected by SD and ND. Increasing SD impaired EPR, DFI, and DEM of quails. However, increasing ND improved EPR, DFI and DEM but had no effect on all criteria of egg quality. Most egg quality traits were not affected by SD, while YI was deteriorated and ST improved with increasing SD. There were inconsistent differences in serum levels of MDA and COR, but P level increased due to increasing SD. As ND increased serum LDL-C concentration of quails increased while level of uric acid decreased. The SD by ND interactions insignificantly affected all estimated criteria of quail hens. Conclusively, an optimal SD for laying quails is suggested to be 277.8 cm 2 /hen for normal productive performance
A regionalized partially nonergodic ground-motion model for subduction earthquakes using the NGA-Sub database

In this study, we derived a regionalized partially nonergodic empirical ground-motion model (GMM) for subduction interface and intraslab earthquakes using an extensive global database compiled as part of the NGA-Subduction project. The model can be used to estimate peak ground acceleration (PGA), peak ground velocity (PGV), and ordinates of 5%-damped pseudo-spectral acceleration (PSA) at periods ranging from 0.01 to 10 s for M ≥ 5.0, M≤ 8.5 for intraslab events, M≤ 9.5 for interface events, ZTOR≤ 50 km for interface events, ZTOR≤ 200 km for intraslab events, 10 ≤RRUP≤ 800 km, and 100 ≤VS30≤ 1000 m/s. Besides a global version of the model, the GMM accounts for regional differences in the overall amplitude (constant), anelastic attenuation, linear site response, and basin response for seven subduction-zone regions: Alaska (AK), Central America and Mexico (CAM), Cascadia (CASC), Japan (JP), New Zealand (NZ), South America (SA), and Taiwan (TW). The functional form of the model is structured such that the breakpoint magnitude, the magnitude at which the magnitude-scaling rate (MSR) transitions from a steeper to a shallower slope, is an adjustable parameter in the model. This makes it possible to take epistemic uncertainty in this parameter into account or adjust it based on other empirical or physical information, such as when the model is applied to a subduction zone not considered in the GMM. Besides the traditional mixed-effects aleatory between-event standard deviations and within-event standard deviations, within-model epistemic standard deviations in the median prediction for each region is quantified from a posterior distribution of model coefficients, standard deviations, and coefficient correlations using a Bayesian regression approach. Our full 800-sample posterior distribution can be used to account for epistemic uncertainty in the model coefficients, standard deviations, and predicted values. We also provide a simplified epistemic model using magnitude- and distance-dependent within-model standard deviations that can be used to facilitate the inclusion of within-model epistemic uncertainty directly in a probabilistic seismic hazard analysis. The within-model standard deviations can also be used to scale the GMM using a backbone modeling approach.
Numerical Implementation, Validation, and Marine Applications of an Energy Finite Element Formulation

The Energy Finite Element Analysis (EFEA) offers an improved solution to the established Statistical Energy Analysis (SEA) for simulating the vibration of large-scale structures. A theoretical overview and comparison of the two methods is presented first. The main aspects of a numerical EFEA implementation are discussed. A published marine application is analyzed, and comparison of the results offers an initial validation of the EFEA. Numerical models for a fishing boat are generated for both methods and utilized for further comparison between the two formulations. The applicability of the EFEA in the marine field is demonstrated and its benefits are discussed.
Heat Transport and Majorana Fermions in a Superconducting Dot-Wire System: An Exact Solution

We obtain exact expressions for the first three moments of the heat conductance of a quantum chain that crosses over from a superconducting quantum dot to a superconducting disordered quantum wire. Our analytic solution provides exact detailed descriptions of all crossovers that can be observed in the system as a function of its length, which include ballistic-metallic and metallic-insulating crossovers. The two Bogoliubov-de Gennes (BdG) symmetry classes with time-reversal symmetry are accounted for. The striking effect of total suppression of the insulating regime in systems with broken spin-rotation invariance is observed at large length scales. For a single channel system, this anomalous effect can be interpreted as a signature of the presence of the elusive Majorana fermion in a condensed matter system.
MHD Flow past a Vertical Plate with Variable Temperature and Mass Diffusion in the Presence of Hall Current

In the present paper, MHD flow past an impulsively started oscillating vertical plate with variable temperature and constant mass diffusion in the presence of Hall current is studied. The fluid considered is an electrically conducting, absorbing-emitting radiation but a nonscattering medium. The Laplace transform technique has been used to find the solutions for the velocity profile and Skin friction. The velocity profile and Skin friction have been studied for different parameters like Schmidt number, Hall parameter, magnetic parameter, mass Grashof number, thermal Grashof number, Prandtl number, and time. The effect of parameters are shown graphically and the value of the Skin-friction for different parameters has been tabulated.
How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback

Research on government service quality can help ensure the success of digital government services and has been the focus of numerous studies that proposed different frameworks and approaches. Most of the existing studies are based on traditional researcher-led methods, which struggle to capture the needs of citizens. In this paper, a citizen-feedback-based analysis framework was proposed to explore citizen demands and analyze the service quality of digital government. Citizen feedback data are a direct expression of citizens’ demands, so the citizen-feedback-based framework can help to obtain more targeted management insights and improve citizen satisfaction. Efficient machine learning methods used in the framework make data collection and processing more efficient, especially for large-scale internet data. With the crawled user feedback data from the Q&A e-government portal of Luzhou, Sichuan Province, China, we conducted experiments on the proposed framework to verify its feasibility. From citizens’ online feedback on Q&A services, we extracted five service quality factors: efficiency, quality, attitude, compliance, and execution of response. The analysis of five service quality factors provides some management insights, which can provide a guide for improvements in Q&A services.
Ameliorative effects of frankincense oil on rats treated with a minimum toxic dose of paracetamol

Paracetamol is a widely used analgesic and antipyretic drug, but its long-term usage has been associated with potential toxicity. The goal of this study was to investigate how frankincense oil prevents paracetamol toxicity. The study included twenty male albino rats divided into four groups: (G1) control, (G2) paracetamol, (G3) frankincense oil, and (G4) paracetamol + frankincense oil. For three days, 1000 mg/kg paracetamol was given orally, while frankincense oil was given orally at a dosage of 1000 mg/kg concurrently with paracetamol. Hematological parameters, lipid profile, cardiac markers, pancreatic function, blood antioxidant capacity, myeloperoxidase activity, blood, spleen, pancreas, heart, and lung histopathology were evaluated. Paracetamol caused oxidative stress, hematotoxicity, dyslipidemia, myocardial damage, pancreatic dysfunction, spleen alterations, and lung tissue damage. However, coadministration of paracetamol and frankincense oil protected against these effects by boosting antioxidant capacity, improving hematological parameters, preserving pancreatic function, enhancing lipid profiles, preserving spleen morphology, and preventing lung damage, likely due to the antioxidant properties of frankincense oil.
Refractory Hypotension in a Late-Onset Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like Episodes (MELAS) Male with m.3243 A>G Mutation: A Case Report

(1) Introduction: Symptom spectrum can be of great diversity and heterogeneity in mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes (MELAS) patients in clinical practice. Here, we report a case of MELAS presenting asymptomatic refractory hypotension with m.3243 A>G mutation. (2) Case representation: A 51-year-old male patient presented with a headache, vertigo, and difficulty in expression and understanding. The magnetic resonance imaging of the brain revealed an acute stroke-like lesion involving the left temporoparietal lobe. A definitive diagnosis of MELAS was given after the genetic test identified the chrM-3243 A>G mutation. The patient suffered recurrent stroke-like episodes in the 1-year follow-up. Notably, refractory hypotension was observed during hospitalizations, and no significant improvement in blood pressure was found after continuous use of vasopressor drugs and fluid infusion therapy. (3) Conclusions: We report a case of refractory hypotension which was unresponsive to fluid infusion therapy found in a patient with MELAS. Our case suggests that comprehensive management should be paid attention to during treatment. A further study on the pathological mechanism of the multisystem symptoms in MELAS would be beneficial to the treatment of patients.
Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method

The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile (demography) and historical payment consisting of 25 observed variables. The Cox regression model used in this study is a proportional hazard Cox regression model. Based on the description of the data, it shows that there is a risk of defaulting debtors who have been past due compared to never past due. Cox proportional hazard regression model with the semiparametric method can be used to identify factors that affect debtor resilience. Of the 25 variables observed, there is one variable, namely the X16 (Age) variable which does not significantly affect the debtor's endurance. Keywords: Debtor Resistance; Historical Payment; Semiparametric; Cox Regression; Proportional Hazard Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap daya tahan debitur kredit mobil di suatu wilayah. Metode penelitian yang digunakan pada penelitian ini adalah semiparametric regresi cox pada data sekunder, warehouse yang terdiri profil (demographi) customer dan historycal payment terdiri atas 25 varibel yang diamati. Model regresi Cox yang digunakan pada penelitian ini adalah model regresi Cox hazard proporsional. Berdasarkan deskripsi data menunjukkan adanya risiko debitur gagal bayar yang Pernah Past Due dibandingkan Never Past Due. Model regresi cox proportional hazard dengan metode semiparametrik dapat digunakan untuk mengedentifikasi faktor-faktor yang mempengaruhi daya tahan debitur. Dari 25 variable yang diamati ada 1 (satu) variable yaitu peubah X16 (Age) yang tidak signifikan berpengaruh terhadap daya tahan debitur. Kata Kunci: Daya Tahan Debitur; Riwayat Pembayaran; Semiparametrik; Regresi Cox; Proporsi Hazard
On Certain Integrals Involving Spheroidal, Mathieu and Multivariable Gimel- Functions

The aim of this note is to evaluate certain interesting new integrals involving spheroidal, Mathieu and multivariable Gimel-functions. The importance of the results established in this paper lies in the usefulness of spheroidal and Mathieu functions in the multiplicity of Physical problems as also of the most general nature of the multivariable Gimel-function.
The effect of team accelerated instruction on students’ mathematics achievement and learning motivation

This study aimed to know the improvement of achievement and motivation of learning mathematics by using Team Accelerated Instruction. The research method used was the experiment with descriptive pre-test post-test experiment. The population in this study was all students of class VIII junior high school in Jogjakarta. The sample was taken using cluster random sampling technique. The instrument used in this research was questionnaire and test. Data analysis technique used was Wilcoxon test. It concluded that there was an increase in motivation and student achievement of class VII on linear equation system material by using the learning model of Team Accelerated Instruction. Based on the results of the learning model Team Accelerated Instruction can be used as a variation model in learning mathematics.
Neutron Flux Measurement Using a Fast-Neutron Scintillation Detector with High Temporal Resolution on the Large Helical Device

To obtain rapid change of the neutron emission rate caused by magnetohydrodynamic (MHD) instabilities, measurements of the neutron flux with the high temporal resolution are made on the Large Helical Device (LHD) with a fast-neutron scintillation detector called neutron fluctuation (NF) operated in current modes. The time response of this detector is up to 5 microseconds. We checked the unwanted signal level caused by neutrons/gamma-rays inside the PMT. The intensity of the unwanted signal was negligibly small compared with the intensity of the scintillation signal as expected. The signal of NF has linear dependence with total neutron emission rate measured by neutron flux monitor in MHD quiet discharges. Rapid decreases of the neutron flux associated with bursting MHD modes excited in a neutral-beam-heated LHD plasma are observed with NF. We found that the neutron flux rapidly decreases within 2 ms.
Effect of interfascial pressure on block success during anterior quadratus lumborum block application: a prospective observational study

Background The quadratus lumborum block (QLB) has recently been used frequently for postoperative analgesia after abdominal surgery. The aim of this study was to investigate the effect of pressure changes between the middle thoracolumbar fascia layers to which the anterior QLB (aQLB) is applied at the level of the sensory block. Methods A total of 67 patients planned to undergo laparoscopic cholecystectomy were evaluated in the context of this prospective study. Bilateral aQLBs were administered to all patients, and a peripheral nerve block catheter was placed between the psoas and quadratus lumborum muscles. The correlation of interfascial pressures (IFPs) during block application, 30 min intraoperatively, and 30 min postoperatively with the sensory block level was determined as the primary outcome measure. Secondary outcome measures were the sensory block levels 30 min after block application and 30 min postoperatively; visual analog scale scores 30 min and 6, 12, and 24 h postoperatively; and 24 h tramadol consumption. Results The preoperatively and intraoperatively measured IFPs differed significantly between the right and left sides (P < 0.05). The preoperative and postoperative block levels also differed significantly between the right and left sides (P < 0.05). The preoperative and postoperative block levels and preoperatively measured IFPs showed a weakly negative correlation (right: r = 0.374; left: r = 0.470). Conclusions The results of this study show that pressure changes between the fasciae may be effective in aQLB application.
Understanding the Mechanism for Adsorption of Pb(II) Ions by Cu-BTC Metal–Organic Frameworks

With the growing population, industrialization, and agriculture, water contamination not only affects people but entire ecosystems. Metal–organic frameworks (MOFs), because of their large surface area and porosity, show great potential as adsorbents for removing pollutants, such as heavy metals, from contaminated water. The current research aims at examining copper (II) benzene-1,3,5-tricarboxylate (Cu-BTC) MOFs and understanding the mechanism for their adsorption of Pb(II) from aqueous solution. The Cu-BTC samples were characterized using FTIR and XRD, and their surface area and porosity were determined based on N2 adsorption isotherms. The concentration of Pb(II) in the solutions was measured using atomic absorption spectroscopy (AAS). Both kinetic and equilibrium adsorption data were collected and then analyzed using numerical models. The analyses led to the findings that the limiting steps in the adsorption of Pb(II) on Cu-BTC are (a) pore diffusion of Pb(II) and (b) the availability of the active sites on Cu-BTC MOFs. It was further revealed that the former step is more dominant in the adsorption of Pb(II) when the lead concentration is low. The latter step, which is directly proportional to the surface areas of the MOFs, affects the adsorption to a greater extent when the lead concentration is high. The results also show that adsorption of Pb(II) ions on Cu-BTC is mainly a multi-layer heterogeneous process.
Teaching Communication in a Statistical Collaboration Course: A Feasible, Project-Based, Multimodal Curriculum

ABSTRACT Many schools offer a statistical collaboration curriculum using standard instructional methods such as lectures whereby students are taught to successfully apply their training. The process of building statisticians' collaborative skills and characteristics can be challenging due to logistical issues, time constraints, unstructured research problems, and resources. Instructors vary in their pedagogy and topics taught, and students' experiences vary. There is a dearth of literature describing how to implement a course integrating communication skills, critical thinking, collaboration, and the integration of team members in a learner-centered format. Few courses integrate behavior-based learning using role-playing, video demonstration and feedback, case-based teaching activities, and presentation of basic statistical concepts. We have developed and implemented a two-semester biostatistics collaboration course, of which the purpose is to develop the students' knowledge, skills, attitudes, and behaviors necessary to interact effectively with investigators. Our innovative curriculum uses a multimodal, project-based, experiential process to address real-world problems provided by real and/or simulated collaborators while minimizing usual challenges. Rubrics and peer evaluation forms are offered as online supplementary materials. This article describes how a collaboration curriculum focusing on communication and team practice is feasible, how it enhances skill and professionalism, and how it can be implemented at other institutions.
Differential Rotation in Solar-like Convective Envelopes: Influence of Overshoot and Magnetism

We present a set of four global Eulerian/semi-Lagrangian fluid solver (EULAG) hydrodynamical (HD) and magnetohydrodynamical (MHD) simulations of solar convection, two of which are restricted to the nominal convection zone, and the other two include an underlying stably stratified fluid layer. While all four simulations generate reasonably solar-like latitudinal differential rotation profiles where the equatorial region rotates faster than the polar regions, the rotational isocontours vary significantly among them. In particular, the purely HD simulation with a stable layer alone can break the Taylor–Proudman theorem and produce approximately radially oriented rotational isocontours at medium to high latitudes. We trace this effect to the buildup of a significant latitudinal temperature gradient in the stable fluid immediately beneath the convection zone, which imprints itself on the lower convection zone. It develops naturally in our simulations as a consequence of convective overshoot and rotational influence of rotation on convective energy fluxes. This favors the establishment of a thermal wind balance that allows evading the Taylor–Proudman constraint. A much smaller latitudinal temperature gradient develops in the companion MHD simulation that includes a stable fluid layer, reflecting the tapering of deep convective overshoot that occurs at medium to high latitudes, which is caused by the strong magnetic fields that accumulate across the base of the convection zone. The stable fluid layer also has a profound impact on the large-scale magnetic cycles developing in the two MHD simulations. Even though both simulations operate in the same convective parameter regime, the simulation that includes a stable layer eventually loses cyclicity and transits to a non-solar, steady quadrupolar state.
ESG Scores and Environmental Protection Investment: Evidence from Listed Companies in China

The ESG concept has increasingly permeated the day-to-day management and strategic choices of companies in recent years. Within industries, regions and company sizes, all organizations have been allocating more resources to improving ESG. How does ESG scores affect corporate environmental investment? Exploring this question allow us to better understand the activities of corporate environmental investment, also be aware of the effectiveness of government's environmental regulation and industry regulation. Based on a panel of 615 Chinese listed corporates from 2019-2021 from CSMAR, the paper found: (1) For EPI of A-share listed companies, the amount was generally sufficient from 2019 to 2021, which is incompatible with previous discoveries. (2) There is a statistically significant relationship between the score of ESG and the amount of EPI. (3) The additional effect of centralized shareholding on the positive relationship remains unclear after robustness test. The findings above not only broaden the research perspective of EPI and ESG, but also enrich academic research on environmental management.
Periodic solutions for indefinite singular equations with singularities in the spatial variable and non-monotone nonlinearity

TWe prove the existence of \begin{document}$T$\end{document} -periodic solutions for the second order non-linear equation \begin{document}$ {\left( {\frac{{u'}}{{\sqrt {1 - {{u'}^2}} }}} \right)^\prime } = h(t)g(u), $ \end{document} where the non-linear term \begin{document}$g$\end{document} has two singularities and the weight function \begin{document}$h$\end{document} changes sign. We find a relation between the degeneracy of the zeroes of the weight function and the order of one of the singularities of the non-linear term. The proof is based on the classical Leray-Schauder continuation theorem. Some applications to important mathematical models are presented.