Miracle-dz/UniFAR-FTUs huggingface dataset:
Petrology, geochemistry and U–Pb zircon geochronology of Fe–Ti oxide ore‐bearing mafic sill from Saltora‐Mejia area of Chotanagpur Granite Gneissic Complex, eastern India: Implication for late tectonic emplacement of mafic rock of E‐MORB nature in an orogenic belt

An east–west‐trending medium‐grained mafic sill containing co‐genetic Fe–Ti oxide ore lenses is found disposed within granite gneisses around Saltora‐Mejia area in the eastern part of the Chotanagpur Granite Gneissic Complex (CGGC) of eastern India. CGGC is considered as a Proterozoic mobile belt as it witnessed multiple phases of deformation and high‐ grade metamorphism during 1.8–0.8 Ga. Occurrence of such Fe–Ti oxide ore‐bearing mafic sill is unique in the entire CGGC which is a vast Proterozoic orogenic belt and has witnessed many phases of voluminous mafic and felsic magmatisms. The mafic rock is of gabbronorite composition which contains plagioclase, clinopyroxene, orthopyroxene as major constituent primary minerals and amphibole as late magmatic mineral. The rock shows sub‐ophitic, intergranular, mosaic and poikilitic texture (defined by larger pargasitic grain). The gabbronorite shows iron enriched tholeiitic character, low Mg#, low abundances of Ni and Cr, slight enrichment in LILE, LREE and slight depletion in HFSE like Nb and Ti. The computed melt in equilibrium with the studied gabbronorite shows transitional orogenic to anorogenic, within‐plate and E‐MORB‐like geochemical character. In this study, the U–Pb zircon crystallization age (~960 Ma) of the Saltora‐Mejia gabbronorite is reported for the first time which coincides with the late tectonic stage of the most pervasive orogenic activity in the CGGC around 1.2–0.9 Ga. Transitional orogenic to anorogenic geochemical character, late tectonic evolution and other field and laboratory evidences together suggest evolution of the Saltora‐Mejia gabbronorite sill in a late tectonic extensional environment which might have been facilitated by delamination of a subducted plate and upwelling of asthenospheric mantle during the waning stage of a major orogeny in the CGGC.
Changing demand for livestock food products: An evidence from Indian households

Evidence was established for changing consumption trends towards livestock products making use of the consumer expenditure survey data pertaining to the periods, 2004–05 and 2011–12. The large database of National Sample Survey Organisation was used for estimation of income and demand elasticities through the Quadratic Almost Ideal Demand System (QUAIDS). The results provided useful insights into the increasing domestic demand for livestock products in Indian households. The estimated expenditure elasticities for livestock products such as milk and milk products, chicken, fish and prawn were positive and significant in both rural and urban India. This implied that as the per capita income of the households increased, the proportion of expenditure on these products were much higher than other livestock products. Furthermore, own price elasticities for most of the livestock products, except egg and mutton, were highly elastic indicating the price sensitiveness of demand for these food products among the Indian households.
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information

Categories of Point of Interest (POI) facilitate location-based services from many aspects like location search and POI recommendation. However, POI categories are often incomplete and new POIs are being consistently generated, this rises the demand for semantic annotation for POIs, i.e., labeling the POI with a semantic category. Previous methods usually model sequential check-in information of users to learn POI features for annotation. However, users' check-ins are hardly obtained in reality, especially for those newly created POIs. In this context, we present a Spatial-Textual POI Annotation (STPA) model for static POIs, which derives POI categories using only the geographic locations and names of POIs. Specifically, we design a GCN-based spatial encoder to model spatial correlations among POIs to generate POI spatial embeddings, and an attention-based text encoder to model the semantic contexts of POIs to generate POI textual embeddings. We finally fuse the two embeddings and preserve multi-view correlations for semantic annotation. We conduct comprehensive experiments to validate the effectiveness of STPA with POI data from AMap. Experimental results demonstrate that STPA substantially outperforms several competitive baselines, which proves that STPA is a promising approach for annotating static POIs in map services.
Dual-Frequency Microwave Resonator for Noninvasive Detection of Aqueous Glucose

A novel dual-band microwave sensor for noninvasive detection of glucose concentration is presented. The proposed sensor consists of an open-loop resonator coupled to the input and the output of the structure. The resonator is loaded with modified split-ring resonators (SRRs) for dual-band operation as a sensing area. The open-loop resonator with electric coupling operating at low band functions as a host. The SRRs embedded into the open-loop resonator operate at a high band. In the proposed sensor, the overall size is miniaturized using the embedded resonator structure. This configuration has two transmission poles (TPs) and one transmission zero (TZ) in transmission coefficients, which are all sensitive to glucose-level (GL) variation. A dielectric container made with 3-D printer is used for dropping the aqueous glucose samples on the sensing section of the sensor. The experimental results obtained from the prototype having a dielectric container shows two resonance frequencies at 1.8 and 2.67 GHz as well as a TZ at 2.32 GHz. A glucose solution with deionized water in the range from 89 to 456 mg/dL is used in the measurements. For this range of glucose concentrations, the experimental frequency resolutions are 0.78 and 0.95 MHz/(mg/dL) based on the TP and the TZ, respectively.
Interactions Between Genetic Risk Score and Healthy Plant Diet Index on Cardiometabolic Risk Factors Among Obese and Overweight Women

People with higher genetic predisposition to obesity are more susceptible to cardiovascular diseases (CVDs) and healthy plant-based foods may be associated with reduced risks of obesity and other metabolic markers. We investigated whether healthy plant-foods-rich dietary patterns might have inverse associations with cardiometabolic risk factors in participants at genetically elevated risk of obesity. For this cross-sectional study, 377 obese and overweight women were chosen from health centers in Tehran, Iran. We calculated a healthy plant-based diet index (h-PDI) in which healthy plant foods received positive scores, and unhealthy plant and animal foods received reversed scores. A genetic risk score (GRS) was developed based on 3 polymorphisms. The interaction between GRS and h-PDI on cardiometabolic traits was analyzed using a generalized linear model (GLM). We found significant interactions between GRS and h-PDI on body mass index (BMI) (p = 0.02), body fat mass (p = 0.04), and waist circumference (p = 0.056). There were significant gene-diet interactions for healthful plant-derived diets and BMI-GRS on high-sensitivity C-reactive protein (p = 0.03), aspartate aminotransferase (p = 0.04), alanine transaminase (p = 0.05), insulin (p = 0.04), and plasminogen activator inhibitor 1 (p = 0.002). Adherence to h-PDI was more strongly related to decreased levels of the aforementioned markers among participants in the second or top tertile of GRS than those with low GRS. These results highlight that following a plant-based dietary pattern considering genetics appears to be a protective factor against the risks of cardiometabolic abnormalities.
Value‐based bricolage: Resource mobilization in the circular economy

Circular‐born firms face resource constraints first, as they emphasize the use and reuse of materials as an opposite to the linear production system of taking, making, and disposing of resources, and second, due to systemic challenges like lack of scale and information on resources. Given these challenges, entrepreneurs need to find novel solutions for resource mobilization in the circular economy (CE). This study aims to identify how entrepreneurs mobilize resources to accomplish these challenges. With qualitative, multiple‐case study research in circular‐born firms developing a CE business model (CEBM), we identify four patterns of resource mobilization serving different purposes in the development of a CEBM. While three patterns—resource seeking, material bricolage, and ideational bricolage—are established concepts in entrepreneurship, we identify and conceptualize a fourth unique pattern in the CE: value‐based bricolage. By conceptualizing the activity domains of value‐based bricolage and examining the motivation and outcomes of each pattern in designing CEBMs, we provide new insights into how solutions to challenges concerning the use of resources in the CE enable circularity.
Impact of dipeptidyl peptidase-4 inhibitors on glucose-dependent insulinotropic polypeptide in type 2 diabetes mellitus: a systematic review and meta-analysis

Aims Glucose-dependent insulinotropic polypeptide (GIP) confers a variety of metabolic benefits in type 2 diabetes mellitus (T2DM). This meta-analysis was conducted to investigate the impact of dipeptidyl peptidase 4 (DPP4) inhibitors on GIP levels in T2DM patients. Methods Medline (PubMed), CENTER (Cochrane Library), and Embase (Ovid) were searched and randomized controlled trials (RCTs) evaluating the impact of DPP4 inhibitors on fasting and postprandial GIP levels were obtained. For postprandial GIP, only studies with the data of GIP changes reported as the total area under the curve (AUCGIP) using a meal or oral glucose tolerance test were included. A random-effects model was used for data pooling after incorporating heterogeneity. Results Overall, 14 RCTs with 541 T2DM patients were included. Compared to placebo/no treatment, the use of DPP4 inhibitors significantly increased the fasting GIP level (standard mean difference [SMD]: 0.77, 95% confidence interval [CI]: 0.48–1.05, P<0.001; I2 = 52%) and postprandial AUCGIP (SMD: 1.33, 95% CI: 1.02–1.64, P<0.001; I2 = 65%). Influence analysis by excluding one dataset at a time showed consistent results. Sensitivity analyses only including studies with radioimmunoassay showed also consistent results (fasting GIP: SMD: 0.75, 95% CI: 0.51–1.00, P<0.001; I2 = 0%; and postprandial AUCGIP: SMD: 1.48, 95% CI: 1.18–1.78, P<0.001; I2 = 54%). Further subgroup analyses demonstrated that the influence of DPP4 inhibitors on fasting and postprandial GIP levels in T2DM patients was not significantly changed by study characteristics such as study design, patient mean age, baseline glycated hemoglobin (HbA1c) concentration, body mass index (BMI), background treatment, treatment duration, or method for postprandial GIP measurement (all P for subgroup effects <0.05). Conclusion The use of DPP4 inhibitors effectively increases the fasting and postprandial GIP concentrations in T2DM patients. Systematic review registration https://www.crd. york.ac. uk/prospero/, identifier CRD42022356716.
A Rule-Based Modal View of Causal Reasoning

We present a novel rule-based semantics for causal reasoning as well as a number of modal languages interpreted over it. They enable us to represent some fundamental concepts in the theory of causality including causal necessity and possibility, interventionist conditionals and Lewisian conditionals. We provide complexity results for the satisfiability checking and model checking problem for these modal languages. Moreover, we study the relationship between our rule-based semantics and the structural equation modeling (SEM) approach to causal reasoning, as well as between our rule-based semantics for causal conditionals and the standard semantics for belief base change.
A multi-transducer approach for human carotid plaque imaging

A common approach in Photoacoustic Imaging (PAI) is to use a linear or curved piezoelectric transducer array, which provides flexibility and versatility during image acquisition. However, these PAI systems often have limited Field-of-View (FOV), resolution, and contrast, resulting in low quality images. In this study, a multi-transducer approach is proposed to improve FOV, resolution, and contrast, with the goal of facilitating human carotid plaque imaging. A prototype consisting of multiple Capacitive Micromachined Ultrasonic Transducers (CMUTs) on a flexible array with shared channels was developed and evaluated using simulated and ex-vivo human carotid plaque samples. In numerical simulations, the results are evaluated based on input ground truth parameters. For ex-vivo plaque samples, results for multi-transducer are evaluated and compared to the images acquired with single transducer. All the results demonstrate that the proposed approach improves contrast, FOV, and most notably, it allows resolving the structural information in the medium where more than 25% improvement in gCNR values is achieved in both simulations and experiments compared to the PA images obtained with single transducer.
Longitudinal studies of child mental disorders in the general population: A systematic review of study characteristics

Abstract Introduction Longitudinal studies of child mental disorders in the general population (herein study) investigate trends in prevalence, incidence, risk/protective factors, and sequelae for disorders. They are time and resource intensive but offer life‐course perspectives and examination of causal mechanisms. Comprehensive syntheses of the methods of existing studies will provide an understanding of studies conducted to date, inventory studies, and inform the planning of new longitudinal studies. Methods A systematic review of the research literature in MEDLINE, EMBASE, and PsycINFO was conducted in December 2022 for longitudinal studies of child mental disorders in the general population. Records were grouped by study and assessed for eligibility. Data were extracted from one of four sources: a record reporting study methodology, a record documenting child mental disorder prevalence, study websites, or user guides. Narrative and tabular syntheses of the scope and design features of studies were generated. Results There were 18,133 unique records for 487 studies—159 of these were eligible for inclusion. Studies occurred from 1934 to 2019 worldwide, with data collection across 1 to 68 time points, with 70% of studies ongoing. Baseline sample sizes ranged from n = 151 to 64,136. Studies were most frequently conducted in the United States and at the city/town level. Internalizing disorders and disruptive, impulse control, and conduct disorders were the most frequently assessed mental disorders. Of studies reporting methods of disorder assessment, almost all used measurement scales. Individual, familial and environmental risk and protective factors and sequelae were examined. Conclusions These results summarize characteristics of existing longitudinal studies of child mental disorders in the general population, provide an understanding of studies conducted to date, encourage comprehensive and consistent reporting of study methodology to facilitate meta‐analytic syntheses of longitudinal evidence, and offer recommendations and suggestions for the design of future studies. Registration DOI: 10.17605/OSF.IO/73HSW.
A tale of three cur ves

In this snapshot, we give a survey of some problems in the study of rational points on higher genus curves, discussing questions ranging from the era of the ancient Greeks to a few posed by mathematicians of the 20th century. To answer these questions, we describe a selection of techniques in modern number theory that can be used to determine the set of rational points on a curve.
Malignancy Associated with Low-Risk HPV6 and HPV11: A Systematic Review and Implications for Cancer Prevention

Simple Summary Vaccination against human papillomavirus (HPV) helps prevent cancer caused by this virus. Determining which viral genotypes should be included is key for developing successful vaccination strategies. Low-risk genotypes, especially HPV6 and HPV11, are associated with benign warts. However, some studies also report their presence in cancers. We reviewed the scientific literature to estimate the proportion of cancers that bear single or dual HPV6/11 infections. HPV6 and HPV11 have been reported in up to 5.5% of penile and 87.5% of laryngeal cancers; however, they have not been reported in vulvar, vaginal or oral cancers. Next, we compared the HPV6/11 genomes with HPV16, the most common high-risk HPV genotype, and observed that the similarities mainly involved the E7 gene, suggesting a limited ability to interfere with the differentiation of the host cells. These findings support the use of HPV vaccines that cover HPV6/11 not only for preventing genital warts but also for preventing specific types of cancers. Abstract High-risk human papillomavirus (HPV) is etiologically related to cervical cancer, other anogenital cancers and oropharyngeal carcinomas. Low-risk HPV, especially HPV6 and HPV11, cause genital warts and laryngeal papillomas. However, the accumulating data suggests that HPV6 and HPV11 may cause malignant lesions at non-cervical anatomic sites. This review aims to estimate the proportions of single and dual HPV6/11 infections in multiple cancers reported in the last 10 years in the Cochrane, Embasa and PubMed databases. Secondly, the genomes of HPV6/11 were compared with the most common high-risk genotype, HPV16, to determine the similarities and differences. A total of 11 articles were selected, including between one and 334 HPV+ cancer patients. The frequencies of single or dual HPV6/11 infections ranged between 0–5.5% for penile and 0–87.5% for laryngeal cancers and were null for vulvar, vaginal and oral cancers. The genomic similarities between HPV6/11 and HPV16 mainly involved the E7 gene, indicating a limited ability to block cell differentiation. The presence of single or dual HPV6/11 infections in variable proportions of penile and laryngeal cancers support the vaccination strategies that cover these genotypes, not only for preventing genital warts but also for cancer prevention. Other risk factors and co-carcinogens are likely to participate in epithelial carcinogenesis associated with low-risk HPV.
Direct Digital Manufacturing of Multi-layer Wideband Ku-band Patch Antennas

vi CHAPTER 1: INTRODUCTION 1 1.1 Aperture-coupled Patch Antennas 2 1.2 Direct Digital Manufacturing Techniques 4 1.2.1 Fused Deposition Modeling 5 1.2.2 Micro-dispensing 6 1.3 Scope of the Thesis 7 1.4 Contributions 7 1.5 Thesis Outline 7 CHAPTER 2: RF CHARACTERIZATION OF DIRECT DIGITAL MANUFACTURED TRANSMISSION LINES 9 2.1 Fabrication 9 2.2 Microstrip Line Characterization 12 2.3 Concluding Remarks 18 CHAPTER 3: DIRECT DIGITAL MANUFACTURING OF MULTILAYER WIDEBAND KU-BAND SINGLE LAYER PATCH ANTENNAS 19 3.1 Antenna Design 19 3.2 Tolerance Analysis 26 3.3 Power Handling Characterization 29 3.4 Experimental Verification 31 3.5 Concluding Remarks 33 CHAPTER 4: DIRECT DIGITAL MANUFACTURING OF MULTILAYER WIDEBAND KU-BAND DUAL-LINEAR POLARIZED STACKED PATCH ANTENNAS 34 4.1 Antenna Design 34 4.2 Experimental Verification 41 4.3 Concluding Remarks 42
Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and in vitro Experiments to Explore the Mechanism of Asiatic Acid Inhibiting Acetaldehyde-Induced Activation of Hepatic Stellate Cells

Purpose: This study utilized network pharmacology, molecular docking, molecular dynamics simulation, and in vitro experimental verification to explore the mechanisms of action by which asiatic acid (AA) inhibits acetaldehyde-induced activation of hepatic stellate cells (HSCs). Methods: Databases were screened to identify intersections between AA and alcoholic liver fibrosis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Enrichment analysis were performed, followed by molecular docking and molecular dynamics simulation to predict further the interactions between AA and cross-targets. Mechanisms of action of AA were assessed experimentally in HSC-T6 rat HSCs. Results: Screening of the relevant databases using web pharmacology identified several genes, including those encoding signal transducer and activator of transcription 3, nuclear factor kappa-B (NF-κB)-P65 (RELA), tumor necrosis factor α (TNF-α), interleukin 6 (IL-6), and interleukin 1 beta (IL-1β), that were closely associated with alcoholic liver fibrosis. GO and KEGG enrichment analysis showed that the alcoholic liver disease pathway was the most relevant one, and molecular docking showed critical binding activity of RELA, TNF-α, IL-6, and IL-1β with AA. Molecular dynamics simulation showed that the binding between RELA and AA was stable. AA at concentrations of 0 to 30 μM were determined to be nontoxic to HSC-T6 cells. Real-time quantitative polymerase chain reaction and Western blotting showed that the levels of expression of α-SMA and type 1 collagen were higher in acetaldehyde-treated than untreated HSC-T6 cells, with AA reducing their expression dose-dependently in acetaldehyde-treated cells. Western blotting also showed that AA could upregulate the expression of the apoptotic proteins BCL2 associated X and cleaved caspase 3 and could inhibit the phosphorylation of RELA and IKB-α. Conclusion: AA inhibited acetaldehyde-induced HSC-T6 cell proliferation and suppressed the secretion of fibrillar factors by inhibiting RELA phosphorylation.
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization

News-driven quantitative trading (NQT) has been popularly studied in recent years. Most existing NQT methods are performed in a two-step paradigm, i.e., first analyzing markets by a financial prediction task and then making trading decisions, which is doomed to failure due to the nearly futile financial prediction task. To bypass the financial prediction task, in this paper, we focus on reinforcement learning (RL) based NQT paradigm, which leverages news to make profitable trading decisions directly. In this paper, we propose a novel NQT framework SpotlightTrader based on decision trajectory optimization, which can effectively stitch together a continuous and flexible sequence of trading decisions to maximize profits. In addition, we enhance this framework by constructing a spotlight-driven state trajectory that obeys a stochastic process with irregular abrupt jumps caused by spotlight news. Furthermore, in order to adapt to non-stationary financial markets, we propose an effective training pipeline for this framework, which blends offline pretraining with online finetuning to balance exploration and exploitation effectively during online tradings. Extensive experiments on three real-world datasets demonstrate our proposed model’s superiority over the state-of-the-art NQT methods.