Miracle-dz/UniFAR-FTUs huggingface dataset:
12004-EEF Welfare financing : Grant allocation and efficiency

Welfare is often administered locally, but financed through grants from the central government. This raises the question how the central government can prevent local governments from spending more than necessary. Block grants are more efficient than matching grants, because the latter reduce the local governments’ incentive to limit welfare spending. However, conventional block grant financing is less equitable, indeed, it may put a heavy burden on local governments in economically weak regions. This paper considers block grants which depend on exogenous spending need determinants, and are estimated from previous period welfare spending. This allocation method gives rise to perverse incentives by reducing the marginal costs of welfare spending. We derive the conditions for such a grant to be more efficient than a matching grant, and apply our results to the Netherlands, where such a grant exists since 2004. We conclude that the Dutch style grant is likely to be more efficient than a matching grant. As it is also more equitable, other countries might want to consider introducing a similar grant.
On the Generation of Precise Fixed-Point Expressions

Several problems in the implementations of control systems, signal-processing systems, and scientific computing systems reduce to compiling a polynomial expression over the reals into an imperative program using fixed-point arithmetic. Fixed-point arithmetic only approximates real values, and its operators do not have the fundamental properties of real arithmetic, such as associativity. Consequently, a naive compilation process can yield a program that significantly deviates from the real polynomial, whereas a different order of evaluation can result in a program that is close to the real value on all inputs in its domain. We present a compilation scheme for real-valued arithmetic expressions to fixed-point arithmetic programs. Given a real-valued polynomial expression t, we find an expression t' that is equivalent to t over the reals, but whose implementation as a series of fixed-point operations minimizes the error between the fixed-point value and the value of t over the space of all inputs. We show that the corresponding decision problem, checking whether there is an implementation t' of t whose error is less than a given constant, is NP-hard. We then propose a solution technique based on genetic programming. Our technique evaluates the fitness of each candidate program using a static analysis based on affine arithmetic. We show that our tool can significantly reduce the error in the fixed-point implementation on a set of linear control system benchmarks. For example, our tool found implementations whose errors are only one half of the errors in the original fixed-point expressions.
Patterns of Approach to Activity in 851 Patients with Severe Chronic Pain: Translation and Preliminary Validation of the 9-item Avoidance-Endurance Fast-Screen (AEFS) into Danish.

OBJECTIVES The Avoidance-Endurance Fast-Screen (AEFS) is a 9-item self-report questionnaire that classifies patients with back pain into four activity-related subgroups, based on the avoidance-endurance model (AEM) of pain. The objective of this study was to translate the AEFS into Danish and investigate its discriminative abilities in a large, diverse patient sample. METHODS 851 specialist care-seeking patients suffering from severe chronic pain conditions participated in this cross sectional study. Patients were categorized as showing a "distress-endurance" (DER), "eustress-endurance" (EER), "fear-avoidance" (FAR) or "adaptive" (AR) pattern. A principal components analysis (PCA) reduced a large number of psychological variables beforehand. Construct and outcome-based validity were explored using multivariate analyses of variance. RESULTS 33.6% were categorized as DER, 29.4% as EER, 22% as FAR and 15% as adaptive. PCA revealed the factors activity-related pain behaviour, affective distress and dysfunctional pain thoughts. The AEFS-DK discriminated all four subgroups in terms or their pain behaviour with EER>DER>AR>FAR. FAR showed less moderate/vigorous activity than DER and EER and more sedentary time than EER. DER and FAR showed higher affective distress, dysfunctional pain thoughts and poorer outcomes than AR and EER. CONCLUSION The results indicate good construct validity of the AEFS-DK discriminating the four AEM-related subgroups with respect to approach to activity behaviour, psychological variables and reported physical activity. Concerning outcome-based validity, two subgroups DER/FAR and AR/EER could be distinguished with inconclusive results for the eustress-endurance subgroup. Future studies are warranted using longitudinal research designs investigating whether AEFS subgroups differ in terms of treatment effects and long-term prognosis.
Benchmarking deep learning splice prediction tools using functional splice assays

Hereditary disorders are frequently caused by genetic variants that affect pre‐messenger RNA splicing. Though genetic variants in the canonical splice motifs are almost always disrupting splicing, the pathogenicity of variants in the noncanonical splice sites (NCSS) and deep intronic (DI) regions are difficult to predict. Multiple splice prediction tools have been developed for this purpose, with the latest tools employing deep learning algorithms. We benchmarked established and deep learning splice prediction tools on published gold standard sets of 71 NCSS and 81 DI variants in the ABCA4 gene and 61 NCSS variants in the MYBPC3 gene with functional assessment in midigene and minigene splice assays. The selection of splice prediction tools included CADD, DSSP, GeneSplicer, MaxEntScan, MMSplice, NNSPLICE, SPIDEX, SpliceAI, SpliceRover, and SpliceSiteFinder‐like. The best‐performing splice prediction tool for the different variants was SpliceRover for ABCA4 NCSS variants, SpliceAI for ABCA4 DI variants, and the Alamut 3/4 consensus approach (GeneSplicer, MaxEntScacn, NNSPLICE and SpliceSiteFinder‐like) for NCSS variants in MYBPC3 based on the area under the receiver operator curve. Overall, the performance in a real‐time clinical setting is much more modest than reported by the developers of the tools.
Energy states of soil water – a thermodynamic perspective on soil water dynamics and storage-controlled streamflow generation in different landscapes

Abstract. The present study confirms that a thermodynamic perspective on soil water is well suited to distinguishing the typical interplay of gravity and capillarity controls on soil water dynamics in different landscapes. To this end, we express the driving matric and gravity potentials by their energetic counterparts and characterize soil water by its free energy state. The latter is the key to defining a new system characteristic determining the possible range of energy states of soil water, reflecting the joint influences of soil physical properties and height over nearest drainage (HAND) in a stratified manner. As this characteristic defines the possible range of energy states of soil water in the root zone, it also allows an instructive comparison of top soil water dynamics observed in two distinctly different landscapes. This is because the local thermodynamic equilibrium at a given HAND and the related equilibrium storage allow a subdivision of the possible free energy states into two different regimes. Wetting of the soil in local equilibrium implies that free energy of soil water becomes positive, which in turn implies that the soil is in a state of storage excess, while further drying of the soil leads to a negative free energy and a state of storage deficit. We show that during 1 hydrological year the energy states of soil water visit distinctly different parts of their respective energy state spaces. The two study areas compared here exhibit furthermore a threshold-like relation between the observed free energy of soil water in the riparian zone and observed streamflow, while the tipping points coincide with the local equilibrium state of zero free energy. We found that the emergence of a potential energy excess/storage excess in the riparian zone coincides with the onset of storage-controlled direct streamflow generation. While such threshold behaviour is not unusual, it is remarkable that the tipping point is consistent with the underlying theoretical basis.
Immediate Functional Loading of Single Implants : a 2-Year Prospective Multicenter Study

1 Department of Dental Sciences, University Vita Salute San Raffaele, 20132 Milan, Italy 2 Department of Periodontology and Oral Implantology, University of Ghent, 9000 Ghent, Belgium 3 Private Practice, 40137 Bologna, Italy 4 Private Practice, 80028 Grumo Nevano (Naples) Italy 5 Private Practice, 80127 Naples, Italy 6 Department of Oral and Maxillofacial Surgery, Dental School, University of Naples, 80138 Naples, Italy
Mechano-growth Factor Expression in Colorectal Cancer Investigated With Fluorescent Gold Nanoparticles

Background/aim: Fluorescent gold nanoparticles demonstrate strong photoluminescence, photostability, and low cellular toxicity, making them attractive agents for biomedical applications. Mechano-growth factor (MGF) is an isoform of IGF1 and its expression has been demonstrated in malignancies including prostate cancer. Materials and Methods: Near-infrared-emitting gold nanoparticles (AuNPs) were synthesized and conjugated to MGF. Following characterization and confirmation of conjugation, these AuNPs were used to investigate the expression of MGF in colon cancer cell lines (HT29 and SW620) and tissues comparing normal and colon cancer. The prostate cancer cell line PC3 and adenocarcinoma tissues were used as positive controls. Results: Colon cancer cell lines, adenocarcinoma tissues and polyp tissues demonstrated evidence of MGF peptide expression, which was not found in normal colon tissues and human umbilical vein endothelial cells. Conclusion: MGF appears to be overexpressed in colon cancer tissues, offering a potential unique target for imaging and drug delivery in colon cancer.
Dental enamel bleached for a prolonged and excessive time: Morphological changes

This work aimed to evaluate the roughness, microhardness, ultrastructure, chemical composition and crystalline structure in submitted teeth to a prolonged home bleaching regimen with 10% carbamide peroxide (10% PC) for different periods. The specimens were divided into the following groups: G1: negative control (application of water-soluble gel); G2: tooth whitening group (positive control), under application time recommended by the manufacturer (4h/14 days); G3: prolonged whitening 50%, under prolonged time recommended by the manufacturer in 50% (4h/21 days); G4: excessive whitening 100%, under exceeded manufacturer recommended time by 100% (4h/ 28 days). The results were evaluated descriptively and analytically. There were no changes in the roughness in any of the evaluated groups. However, the microhardness decreased in the G4 group. Scanning electron microscopy showed changes in the enamel surface of groups G2, G3 and G4. Dispersive X-ray spectroscopy identified changes in the concentration of chemical elements O, Mg, P, K in all groups. Thus, this study showed that prolonged home bleaching could cause changes in the ultrastructure, chemical composition and microhardness of the enamel.
Korean-specific biokinetic model for iodine in radiological protection

The International Commission on Radiological Protection (ICRP) recently adopted a detailed biokinetic model for systemic iodine with reference transfer coefficients based on typical worldwide dietary intakes of stable iodine. The regional data provided demonstrate that the ICRP reference thyroidal biokinetics may differ substantially across regions with atypically low or high dietary intakes of stable iodine. Importantly, the design of the ICRP model facilitates modifications of reference thyroidal kinetics based on regional dietary iodine intake. The present study extended the ICRP model to the South Korean population, whose dietary iodine intake is much higher than the global mean. The following three transfer coefficients were selected as targets for Korean-specific values: thyroidal uptake rate (λ 1), hormonal secretion rate (λ 4) and leakage rate of thyroidal organic iodine as inorganic iodide (λ 5). The Korean-specific values for λ 1, λ 4 and λ 5 were determined to be 4.48, 0.0086 and 0.0171 d−1, respectively, to yield the measurements of thyroidal iodine and physiological status of Korean adults. The determined λ 1 and λ 5 values differed noticeably from the ICRP values, whereas the λ 4 value was comparable to that of the ICRP. Compared with the ICRP reference model, the Korean model, in which the Korean-specific transfer coefficients were adopted, predicted noticeably lower thyroidal uptake and faster decrease of thyroidal iodine. In addition, the predicted cumulative activities of radioiodine in the thyroid were substantially lower (40–80%) than those predicted by the ICRP model. The Korean model developed in this study demonstrates that the iodine biokinetics for Koreans (i.e. a population with a high iodine consumption) obviously differ from the prediction of the ICRP model. Hence, the Korean model may serve to improve the accuracy of thyroid dose estimation for Koreans and will lead to practical changes in matters concerned with radiological protection.
The Influence of Parent's Social Economic Status and Entrepreneurship Education in the Family towards Entrepreneurship Intention through Self Efficacy: A Study of Children in Paper Waste Management Communities at Desa Gampingan Kabupaten Malang

In the current era, Indonesia is facing many problems, one of which is the endless problem of unemployment. Various attempts have been made to reduce the number of unemployment in Indonesia, but instead of decreasing the number of unemployed continues to increase with the increase in population. Therefore, the government, especially education managers in this country, has intensified entrepreneurship education implemented in Indonesian education units, for example at universities there have been many activities or competitions that have sparked the entrepreneurial spirit of the younger generations. In addition, to increase the interest in entrepreneurship, it is necessary to encourage it from the internal environment, not only external. This is because the factors that influence the desire to become an entrepreneur apart from a pure interest are the socioeconomic status of parents and entrepreneurship education in the family. This research used survey research method with an explanatory research type. The research design used was descriptive using a quantitative approach. The research was conducted in the gamping an village, Malang Regency, with a total of 100 respondents. Based on the results of data analysis, it is concluded that the interest in the entrepreneurship will have a positive and significant effect if there is a condition of entrepreneurial education and high socioeconomic status. Meanwhile, self-efficacy will also have a positive and significant effect if the entrepreneurship education and socioeconomic status are high. Therefore, this study aims to measure the influence of the socioeconomic status of parents and entrepreneurship education in the family in increasing interest in the entrepreneurship intention through selfefficacy.
The Moderating Role of Earnings Management on the Relationship between Cash Flow Activities and Stock Returns in the Jordanian Manufacturing Firms

Purpose: This study examined the moderating role of earnings management on the relationship between cash flow activities and stock returns among the Jordanian manufacturing firms. Methodology: Data was collected from 44 companies listed in Amman Stock Exchange for the period 2013-2018. The obtained data was subsequently analyzed using descriptive and multiple linear regression analysis tools of SPSS, version 27. Findings: This study observed that earnings management, computed as per the modified Jones model of 1995, among the manufacturing firms in Jordan produce no significant influence on the relationship between stock returns and the cash flow activities. Moreover, there was no significant association between cash flow activities and the firms’ stock returns. Practical implications: The findings from this study give the management of manufacturing firms more freedom to independently list their stock. Originality: This paper highlights a pragmatic dissonance between earnings management and cash flow activities and stock returns as demonstrated by the data obtained from the manufacturing firms listed in Amman stock exchange for the period 2013-2018.
Antioxidant and Chemopreventive Effect of Aliophen® Formulation Based on Malts and Hops

Experimental and clinical studies evidenced the health effects of moderate consumption of beer, mainly due to the presence of bioactive compounds, such as polyphenols, vitamins, or fibers. To exploit the potential beneficial effect on health and in disease prevention of these compounds, a new beverage based on barley malts and hops named Aliophen® has been designed, through a patented production process, with a high total polyphenolic amount compared to alcohol-free beer and similar to the one present in light and dark beers. In the present study, the antioxidant activity of Aliophen® against low-density lipoprotein (LDL) oxidation and its ability to protect erythrocytes from hemolysis have been characterized. Moreover, the chemopreventive effect of Aliophen® against colon cancer has been assessed, employing a mouse model of chemically induced carcinogenesis using azoxymethane (AOM). Data obtained showed that Aliophen at a low dose (3 mg/kg) inhibited the formation of preneoplastic lesions, polyps, and tumors. At higher doses (300 mg/kg) the protective effect was measured in the first phase of the onset of cancer. The antioxidant properties of Aliophen® were also observed in AOM-treated mice where it increased the serum antioxidant capacity. Based on the data presented, Aliophen® can exert promising health effects, including an anticancer capacity presumably associated with its antioxidant properties.
Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening

Significance DNA mutation within gene bodies contributes to abnormal translation and can lead to neurodegenerative disorders. High-throughput analysis is suitable for initial detection of gene mutations with details. Deep learning-based RNA splicing analysis facilitates accurate and precise predictions of genetic variants in DNA bodies. Although deep learning-based prediction methods have improved the screening of genetic variations for target diseases, there have been no reports showing a direct comparison with genetic information of an AD model. This study identified the gene mutations and abnormal splicing of PLCγ1 gene in AD using both high-throughput screening data and a deep learning-based prediction. Our findings provide insight for improvement in prediction and diagnosis of AD pathology. Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurodegenerative disorders. In this study, we discover Alzheimer’s disease (AD)-specific single-nucleotide variants (SNVs) and abnormal exon splicing of phospholipase c gamma-1 (PLCγ1) gene, using genome-wide association study (GWAS) and a deep learning-based exon splicing prediction tool. GWAS revealed that the identified single-nucleotide variations were mainly distributed in the H3K27ac-enriched region of PLCγ1 gene body during brain development in an AD mouse model. A deep learning analysis, trained with human genome sequences, predicted 14 splicing sites in human PLCγ1 gene, and one of these completely matched with an SNV in exon 27 of PLCγ1 gene in an AD mouse model. In particular, the SNV in exon 27 of PLCγ1 gene is associated with abnormal splicing during messenger RNA maturation. Taken together, our findings suggest that this approach, which combines in silico and deep learning-based analyses, has potential for identifying the clinical utility of critical SNVs in AD prediction.
Proteomics of Muscle Microdialysates Identifies Potential Circulating Biomarkers in Facioscapulohumeral Muscular Dystrophy

Facioscapulohumeral muscular dystrophy (FSHD) is caused by a complex epigenetic mechanism finally leading to the misexpression of DUX4 in skeletal muscle. Detecting DUX4 and quantifying disease progression in FSHD is extremely challenging, thus increasing the need for surrogate biomarkers. We applied a shotgun proteomic approach with two different setups to analyze the protein repertoire of interstitial fluids obtained from 20 muscles in different disease stages classified by magnetic resonance imaging (MRI) and serum samples from 10 FSHD patients. A total of 1156 proteins were identified in the microdialysates by data independent acquisition, 130 of which only found in muscles in active disease stage. Proteomic profiles were able to distinguish FSHD patients from controls. Two innate immunity mediators (S100-A8 and A9) and Dermcidin were upregulated in muscles with active disease and selectively present in the sera of FSHD patients. Structural muscle and plasminogen pathway proteins were downregulated. Together with the upstream inhibition of myogenic factors, this suggests defective muscle regeneration and increased fibrosis in early/active FSHD. Our MRI targeted exploratory approach confirmed that inflammatory response has a prominent role, together with impaired muscle regeneration, before clear muscle wasting occurs. We also identified three proteins as tissue and possibly circulating biomarkers in FSHD.
The aqueous and methanol extracts of Bambusa vulgaris (Poaceae) improve calcium and phosphorus levels, and bone microstructure in ovariectomized model of osteoporosis

Abstract Background Osteoporosis represents the most common metabolic bone disease. Bambusa vulgaris (Poaceae) is a plant with potential antiosteoporotic effects, due to its phytoestrogenic, antioxidative, and anti-inflammatory properties. This study was undertaken to evaluate the effects of aqueous and methanol extracts of B. vulgaris on osteoporosis in rats. Methods Adult female Wistar rats were randomly divided into normal (n = 6) and ovariectomized (n = 42) groups. Twelve weeks after ovariectomy, animals were treated for 4 weeks as follows: distilled water (10 mL/kg, per os (p.o.)), 17β-estradiol (10 μg/kg, intraperitoneal (i.p.)), soya oil (1 mL/kg, i.p.), aqueous or methanol extract of B. vulgaris (55 or 110 mg/kg, p.o.). All rats were weighed daily and sacrificed on day 29. Plasma was collected, and the uterus and femur were dissected out, weighed, and used for biochemical and histological measurements. Results In the untreated ovariectomized females, a non-significant (p > 0.05) increase in body weight and a significant decrease (p < 0.001) in the uterine and bone weights were recorded. Ovariectomy also significantly (p < 0.001) lowered the bone calcium and phosphorus concentrations, and deteriorated the microarchitecture of the femur. Interestingly, B. vulgaris extracts significantly (p < 0.001) improved the bone calcium concentration and femur microarchitecture (increase in trabecular bone density, reorganization of the trabecular network, and increase in bone marrow) with estrogenic-like effects compared to 17β-estradiol. Conclusion These results suggest that B. vulgaris is a potential therapeutic drug for the treatment of osteoporosis. The present findings further justify the ethno-medicinal claims of B. vulgaris.