Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Digital Inclusive Finance Promote Food Security? Evidence from China

Eliminating hunger and ensuring food security is one of the specific goals of sustainable development of the United Nations in 2030, and food production is of great significance to food availability. Based on this, this paper investigates the impact of digital inclusive finance on food security by constructing a fixed effects model using panel data for 30 Chinese provinces from 2011 to 2020. The results found that: (1) Digital inclusive finance significantly and positively affects food security, and the results remain robust after robustness tests and endogeneity tests. (2) The scale of farmland operations plays a positive mediating role in the effect of digital inclusive finance on food security, and the level of agricultural machinery positively moderates the effect of digital inclusive finance on food security. (3) Heterogeneity tests show that there is a positive effect of digital inclusive finance on food security in eastern China, and a non-significant effect of digital inclusive finance on food security in central and western regions;. There is a significant positive effect of digital inclusive finance on food security in China’s main grain marketing areas and balanced production and marketing areas, and a non-significant effect of digital inclusive finance on food security in the main grain producing areas.
CONNECTING CO INTENSITY MAPPING TO MOLECULAR GAS AND STAR FORMATION IN THE EPOCH OF GALAXY ASSEMBLY

Intensity mapping, which images a single spectral line from unresolved galaxies across cosmological volumes, is a promising technique for probing the early universe. Here we present predictions for the intensity map and power spectrum of the CO(1–0) line from galaxies at z ∼ 2.4 ? > –2.8, based on a parameterized model for the galaxy–halo connection, and demonstrate the extent to which properties of high-redshift galaxies can be directly inferred from such observations. We find that our fiducial prediction should be detectable by a realistic experiment. Motivated by significant modeling uncertainties, we demonstrate the effect on the power spectrum of varying each parameter in our model. Using simulated observations, we infer constraints on our model parameter space with an MCMC procedure, and show corresponding constraints on the L IR ? > – L CO ? > relation and the CO luminosity function. These constraints would be complementary to current high-redshift galaxy observations, which can detect the brightest galaxies but not complete samples from the faint end of the luminosity function. By probing these populations in aggregate, CO intensity mapping could be a valuable tool for probing molecular gas and its relation to star formation in high-redshift galaxies.
Do Equity Investors Care about Environment, Social and Governance (ESG) Disclosure Performance? Evidence from India

Sustainability reporting is an essential feature for firms looking for business opportunities. We investigated whether and how environmental, social and governance performance disclosures impact the cost of equity capital, individually and in aggregate. Data for 89 Indian firms listed on exchange during 2017–2020 is considered for the study. Fixed-effect panel regression is applied to data for examining the relationship between ESG and the cost of equity capital. Results of the study show that ESG performance disclosure negatively impacts cost of equity capital, providing the firm with capital at a lower cost. ESG disclosures create long-term value for investors and reduce information asymmetry, thereby building investors’ confidence.
Similarity-Law Characterization Methods for Arbitrary Hydrodynamic Roughnesses.

Abstract : Methods are described for obtaining similarity-law characterization for arbitrary roughnesses indirectly from pipe-flow head loss, flat-plate drag, and rotating-disk torque. The roughness characterizations are used to make viscous drag predictions by means of boundary-layer calculations. A simplified drag prediction method using form factors and equivalent rough flat plates is described in detail. (Author)
Star formation in galaxy interactions and mergers

This lecture reviews the fundamental physical processes involved in star formation in galaxy interactions and mergers. Interactions and mergers often drive intense starbursts, but the link between interstellar gas physics, large scale interactions, and active star formation is complex and not fully understood yet. Two processes can drive starbursts: radial inflows of gas can fuel nuclear starbursts, triggered gas turbulence and fragmentation can drive more extended starbursts in massive star clusters with high fractions of dense gas. Both modes are certainly required to account for the observed properties of starbursting mergers. A particular consequence is that star formation scaling laws are not universal, but vary from quiescent disks to starbursting mergers. High-resolution hydrodynamic simulations are used to illustrate the lectures.
Gaussian processes:iterative sparse approximations

In recent years there has been an increased interest in applying non-parametric methods to real-world problems. Significant research has been devoted to Gaussian processes (GPs) due to their increased flexibility when compared with parametric models. These methods use Bayesian learning, which generally leads to analytically intractable posteriors. This thesis proposes a two-step solution to construct a probabilistic approximation to the posterior. In the first step we adapt the Bayesian online learning to GPs: the final approximation to the posterior is the result of propagating the first and second moments of intermediate posteriors obtained by combining a new example with the previous approximation. The propagation of em functional forms is solved by showing the existence of a parametrisation to posterior moments that uses combinations of the kernel function at the training points, transforming the Bayesian online learning of functions into a parametric formulation. The drawback is the prohibitive quadratic scaling of the number of parameters with the size of the data, making the method inapplicable to large datasets. The second step solves the problem of the exploding parameter size and makes GPs applicable to arbitrarily large datasets. The approximation is based on a measure of distance between two GPs, the KL-divergence between GPs. This second approximation is with a constrained GP in which only a small subset of the whole training dataset is used to represent the GP. This subset is called the em Basis Vector, or BV set and the resulting GP is a sparse approximation to the true posterior. As this sparsity is based on the KL-minimisation, it is probabilistic and independent of the way the posterior approximation from the first step is obtained. We combine the sparse approximation with an extension to the Bayesian online algorithm that allows multiple iterations for each input and thus approximating a batch solution. The resulting sparse learning algorithm is a generic one: for different problems we only change the likelihood. The algorithm is applied to a variety of problems and we examine its performance both on more classical regression and classification tasks and to the data-assimilation and a simple density estimation problems.
Classical theory of second-harmonic generation from magnetic metamaterials

Strong second-harmonic generation has recently been experimentally observed from metamaterials consisting of periodic arrays of metal split ring resonators with an effective negative magnetic permeability [Science, 313, 502 (2006)]. To explore the underlying physical mechanism, a classical model derived from microscopic theory is employed here. The quasi-free electrons inside the metal are approximated as a classical Coulomb-interacting electron gas, and their motion under the excitation of an external electromagnetic field is described by the cold-plasma wave equations. Through numerical simulations, it is demonstrated that the microscopic theory includes the dominant physical mechanisms bothqualitatively and quantitatively.
The impacts of corporate social responsibility to corporate financial performance: A case study of Vietnamese commercial banks

Abstract This study aims to investigate the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP). A multi-method approach has been applied to measure CSR. Net interest margin (NIM), return on assets (ROA), and return on equity (ROE) are selected to represent the financial performance of the bank. Using a sample of Vietnamese commercial banks from 2012 to 2019 to perform regressions in the dynamic panel models with the two-step system generalized method of moments (GMM) estimator, the results show a positive effect of both corporate social responsibility expenditure (CSRE) and corporate social responsibility disclosure (CSRD) on the financial performance of the bank. The results also show the impact of the component CSRs on the bank’s financial performance, particularly finding a positive effect of Environmental responsibility and Employee responsibility. In contrast, the influence of Community responsibility is not evident.
Evaluation of Inflammatory Cytokine IL-17 and Immunohistochemical Analysis of Cirrhotic Liver from HCV Patients

A distinctive feature of chronic hepatitis C infection is the presence of persistent liver inflammation characterized by the expression of different inflammatory molecules including Interleukin-17 (IL-17). The progression of chronic liver ailments (fibrosis, cirrhosis) towards hepatocellular carcinoma (HCC) is determined by the distortion produced in the normal structure of liver. Pakistan bears the second highest numbers of hepatitis C virus (HCV) infections after Egypt. Although the role of IL-17A in chronic liver diseases (CLD) had been extensively studied, there is little to no data available on the serum profiling of IL-17A in HCV patients from Pakistan. Thus, we investigated the relationship between serum levels of IL-17A and age in chronic and fibrotic HCVpatients by ELISA and evaluated different markers that are invloved in the progression of CLDs towards HCC by performing histopathology and immunohistochemistry (IHC) techniques in liver tissues in HCV patients from the southern districts of Khyber Pakhtunkhwa, Pakistan. In addition, the network of IL-17A and its KEGG pathway related gene IDs were constructed using GeneMANIA and STRING online web tools. IL-17A serum levels were significantly higher in fibrotic patients compared to chronic HCV patients and showed a positive correlation with age. The constructed gene network revealed interactions between IL-17A and various other genes, especially chemokines. IHC analysis revealed significant changes in the architecture of liver especially an abnormal expression of alpha (α)-SMA and the activation and transmigration of Kupffer cells towards the septa.
Dynamics in the quantum Hall effect and the phase diagram of graphene

The dynamics responsible for lifting the degeneracy of the Landau levels in the quantum Hall (QH) effect in graphene is studied by utilizing a low-energy effective model with a contact interaction. A detailed analysis of the solutions of the gap equation for Dirac quasiparticles is performed at both zero and nonzero temperatures. The characteristic feature of the solutions is that the order parameters connected with the QH ferromagnetism and magnetic catalysis scenarios necessarily coexist. The solutions reproduce correctly the experimentally observed novel QH plateaus in graphene in strong magnetic fields. The phase diagram of this system in the plane of temperature and electron chemical potential is analyzed. The phase transitions corresponding to the transitions between different QH plateaus in graphene are described.
A13CO (J = 1-0) Search for Small Molecular Clouds toward the Chamaeleon-Musca Dark Cloud Complex

We have completed a 13CO (J=1-0) survey for molecular clouds toward the Chamaeleon-Musca Dark Cloud Complex, covering an ~16° × 17° area with the NANTEN millimeter-wave telescope. The major result is a discovery of 25 small dense clouds widely distributed over ~11° × 13° ( ~28 × 33 pc at ~140 pc), in addition to the four previously known large dark clouds. The small clouds show a good spatial correlation with the 33 isolated X-ray-emitting T Tauri stars (TTSs), and most ( ~70%) of the 33 TTSs located within 4 pc of the small clouds' boundaries are likely formed in the small clouds. It is argued that the average density, ≳103 cm−3, and mass, ~20 M, of the small clouds are large enough to form stars in them. The apparent lack of the associated molecular gas for the remaining TTSs is plausibly explained as a result of cloud dissipation due to the outflow activity of the X-ray TTSs. Based on the present findings, we conclude that the X-ray TTSs were formed in the small dense clouds and that it is not necessary to invoke a runaway TTS hypothesis.
Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants

Abstract Aging is a major risk factor for cardiovascular and neurodegenerative disorders, with considerable societal and economic implications. Healthy aging is accompanied by changes in functional connectivity between and within resting-state functional networks, which have been associated with cognitive decline. However, there is no consensus on the impact of sex on these age-related functional trajectories. Here, we show that multilayer measures provide crucial information on the interaction between sex and age on network topology, allowing for better assessment of cognitive, structural, and cardiovascular risk factors that have been shown to differ between men and women, as well as providing additional insights into the genetic influences on changes in functional connectivity that occur during aging. In a large cross-sectional sample of 37,543 individuals from the UK Biobank cohort, we demonstrate that such multilayer measures that capture the relationship between positive and negative connections are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topological architecture throughout aging, when compared to standard connectivity and topological measures. Our findings indicate that multilayer measures contain previously unknown information on the relationship between sex and age, which opens up new avenues for research into functional brain connectivity in aging.
STAR-FORMATION ACTIVITY IN THE NEIGHBORHOOD OF W–R 1503-160L STAR IN THE MID-INFRARED BUBBLE N46

In order to investigate star-formation (SF) processes in extreme environments, we have carried out a multi-wavelength analysis of the mid-infrared bubble N46, which hosts a WN7 Wolf–Rayet (W–R) star. We have used 13CO line data to trace an expanding shell surrounding the W–R star containing about five condensations within the molecular cloud associated with the bubble. The W–R star is associated with a powerful stellar wind having a mechanical luminosity of ∼4 × 1037 erg s−1. A deviation of the H-band starlight mean polarization angles around the bubble has also been traced, indicating the impact of stellar wind on the surroundings. The Herschel temperature map shows a temperature range of ∼18–24 K toward the five molecular condensations. The photometric analysis reveals that these condensations are associated with the identified clusters of young stellar objects, revealing ongoing SF process. The densest among these five condensations (peak N(H2) ∼9.2 × 1022 cm−2 and AV ∼ 98 mag) is associated with a 6.7 GHz methanol maser, an infrared dark cloud, and the CO outflow, tracing active massive SF within it. At least five compact radio sources (CRSs) are physically linked with the edges of the bubble, and each of them is consistent with the radio spectral class of a B0V–B0.5V-type star. The ages of the individual infrared counterparts of three CRSs (∼1–2 Myr) and a typical age of WN7 W–R star (∼4 Myr) indicate that the SF activities around the bubble are influenced by the feedback of the W–R star.
Peelu (Salvadora oleoides Decne.): An Unexplored Medicinal Fruit with Minerals, Antioxidants, and Phytochemicals

The Peelu (Salvadora oleoides Decne.) fruit is well known for its nutritional and medicinal values. The current study analyzed the chemical composition of Salvadora oleoides fruit. Fresh Peelu fruits were harvested, and physicochemical properties, proximate composition, macro- and micronutrients, and phytochemical properties were determined. Moreover, ethanol and methanol fruit extract was analyzed for physicochemical properties. The Peelu fruit seemed to be a potential source of essential macro- ((nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg)) and micronutrients (zinc (Zn), manganese (Mn), iron (Fe), and copper (Cu)). The fruit had significant biochemical properties (total soluble solids (TSS), total acidity (TA), and TSS : TA ratio) with appreciable moisture, crude fiber, and ash contents. The fruit extracts demonstrated significantly higher antioxidants and phenolics, ascorbic acid contents, and carotenoids. Phytochemical screening of fruit revealed the presence of coumarins, flavonoids, phlobatannins, tannins, and terpenoids. Physicochemical and sensory evaluation of extracts indicated its potential for further in vivo study trials. The Peelu fruit was found to be a good source of mineral nutrients, proximate contents, vitamins (ascorbic acid and carotenoid), phytochemicals (total phenolic sand antioxidant contents), and pharmaceutically important metabolites that can be used as functional drink.
PRESSURE SUPPORT IN GALAXY DISKS: IMPACT ON ROTATION CURVES AND DARK MATTER DENSITY PROFILES

Rotation curves constrain a galaxy's underlying mass density profile, under the assumption that the observed rotation produces a centripetal force that exactly balances the inward force of gravity. However, most rotation curves are measured using emission lines from gas, which can experience additional forces due to pressure. In realistic galaxy disks, the gas pressure declines with radius, providing additional radial support to the disk. The measured tangential rotation speed will therefore tend to lag the true circular velocity of a test particle. The gas pressure is dominated by turbulence, and we evaluate its likely amplitude from recent estimates of the gas velocity dispersion and surface density. We show that where the amplitude of the rotation curve is comparable to the characteristic velocities of the interstellar turbulence, pressure support may lead to underestimates of the mass density of the underlying dark matter halo and the inner slope of its density profile. These effects may be significant for galaxies with rotation speeds ≲75 km s-1 but are unlikely to be significant in higher-mass galaxies. We find that pressure support can be sustained over long timescales, because any reduction in support due to the conversion of gas into stars is compensated for by an inward flow of gas. However, we point to many uncertainties in assessing the importance of pressure support in real or simulated galaxies. Thus, while pressure support may help to alleviate possible tensions between rotation curve observations and ΛCDM on kiloparsec scales, it should not be viewed as a definitive solution at this time.
MANAJEMEN LABA, MEKANISME CORPORATE GOVERNANCE DAN PENGHINDARAN PAJAK

This study aims to examine the effect of earnings management and corporate governance mechanisms on tax avoidance.The population in this study were property and real estate companies listed on the Indonesia Stock Exchange in 2013-2016. The sampling technique in this study using the purposive sampling technique, with 128 data selected as samples. The analytical method used is multiple linear regression with the SPSS program.The regression analysis results prove that earnings management has an effect on tax avoidance. This study cannot prove the effect of the proportion of independent commissioners, audit committee and managerial ownership on tax avoidance.
Ventral organization of Jianfengia multisegmentalis Hou, and its implications for the head segmentation of megacheirans

Megacheirans, or great‐appendage euarthropods, have featured prominently in discussions regarding the early evolution of the head region in total‐group Euarthropoda. However, several aspects of the ventral morphology of most representatives remain incompletely known given the loss of data associated with fossil compression, coupled with the rarity of some of these taxa. Here, we describe the ventral aspect of head organization of the jianfengiid megacheiran Jianfengia multisegmentalis using micro computed‐tomography, and explore its evolutionary significance. The head consists of a pair of stalked eyes, a pair of great appendages, and four pairs of biramous appendages, all covered by a dorsal head shield. The rostral portion of the head bears a median projection, which we interpret as an anterior sclerite akin to that observed in several other Cambrian euarthropods. The anterior sclerite in J. multisegmentalis articulates with robust stalks with rounded projections in a more adaxial position, and bears the compound eyes. Critically, the ventral side of the head of J. multisegmentalis features a prominent lobe‐shaped hypostome/labrum complex located immediately behind the great appendages, and between the first pair of biramous appendages. This situation is consistent with that observed in Leanchoilia illecebrosa and suggests a conserved, and possibly ancestral, pattern of a six‐segmented head (eyes, great appendages and four biramous limb appendages) with a hypostome/labrum complex for Megacheira. The existence of the hypostome/labrum complex in J. multisegmentalis falsifies the hypothesis that the anterior projections on the head of jianfengiids might be homologues of the euarthropod labrum.
Open and arthroscopic management of femoroacetabular impingement: a review of current concepts

ABSTRACT Femoroacetabular impingement (FAI) is a common femoral and/or acetabular abnormality that can cause progressive damage to the hip and osteoarthritis. FAI can be the result of femoral head/neck overgrowth, acetabular overgrowth or both femoral and acetabular abnormalities, resulting in a loss of native hip biomechanics and pain upon hip flexion and rotation. Radiographic evidence can include loss of sphericity of the femoral neck (cam impingement) and/or acetabular retroversion with focal or global overcoverage (pincer impingement). Operative intervention is indicated in symptomatic patients after failed conservative management with radiographic evidence of impingement and minimal arthritic changes of the hip, with the goal of restoring normal hip biomechanics and reducing pain. This is done by correcting the femoral head–neck relationship to the acetabulum through femoral and/or acetabular osteoplasty and treatment of concomitant hip pathology. In pincer impingement cases with small lunate surfaces, reverse periacetabular osteotomy is indicated as acetabular osteoplasty can decrease an already small articular surface. While surgical dislocation is regarded as the traditional gold standard, hip arthroscopy has become widely utilized in recent years. Studies comparing both open surgery and arthroscopy have shown comparable long-term pain reduction and improvements in clinical measures of hip function, as well as similar conversion rates to total hip arthroplasty. However, arthroscopy has trended toward earlier improvement, quicker recovery and faster return to sports. The purpose of this study was to review the recent literature on open and arthroscopic management of FAI.