Miracle-dz/UniFAR-FTUs huggingface dataset:
Ho boulomenos and Athenian public lawsuits from the death of Alexander the Great to the first century B.C.: evidence of the survival of a classical legal institution in Hellenistic Athens

The practice of granting any willing individual the right to denounce serious offences has been directly linked to the legal system of Athens. Although the literary and epigraphic material concerning the law of post-classical Athens is less informative than that of the classical period, references to procedures initiated by ho boulomenos (“anyone who wishes”) from the late fourth century B.C. to the early years of Augustus’ reign show that the Athenian legal system continued to provide for the right of volunteers to denounce offences affecting important aspects of social and political life, such as acts against the polis constitution, religious affairs or the use of proper weights and measures. This article highlights the phenomenon of public lawsuits in Athens during the Hellenistic period by presenting all relevant literary and epigraphic references and demonstrating the continuing importance of this type of prosecution for the Athenian state.
Observations and Modeling of Long‐Period Ground‐Motion Amplification Across Northeast China

Basin resonances can significantly amplify and prolong ground shaking, and accurate site‐amplification estimates are crucial for mitigating potential seismic hazards within metropolitan basins. In this work, we estimate the site amplification of long‐period (2–10 s) ground motions across northeast China for both surface waves and vertically incident shear waves. The spatial distribution of relatively large site amplifications correlates strongly with known sedimentary basins for both wave types. However, the site response of surface waves is typically twice as high as that of shear waves at most basin sites. We further show that these site‐amplification features can be well explained by predictions based on the local one‐dimensional structure at each site. Our results highlight the importance of accounting for surface‐wave contributions and demonstrate the usefulness of semi‐analytical theory for surface‐wave amplification, which may be broadly applicable in future seismic hazard analysis.
Design of High Performance Operational Transconductance Amplifier

Designing high-performance analog circuits is becoming increasingly challenging with the persistent trend toward reduced supply voltages. The main bottleneck in an analog circuit is the operational amplifier. At large supply voltages, there is a trade off among speed, power, and gain, amongs to ther performance parameters. Often these parameters present contradictory choices for the op-amp architecture. At reduced supply voltages, output swing becomes yet another performance metric to be considered when designing the opamp. Of the several architecture folded cascode OTA is used in which all the transistors are in saturation regime. Furthermore, in an effort to reduce costs and integrate analog and digital circuits onto a single chip, the analog designer must often face the challenges using CMOS processes. This paper covers the design and implementation of a novel CMOS folded cascode OTA designed in 1m technology. Covered topic include current source and sinks, differential amplifier, compensation techniques, two stage compensated OTA and cascode OTA. Our design emphasis is on practical design where power consumption and speed are critical. The OTA has very low settling time and can be used for high speed applications, such Analog-to–Digital converters, high speed Sigma-delta ADC.
Role of Bryophytes And Tree Canopy In Mist Trapping In Mt. Marsabit Forest

Mt. Marsabit forest, is an isolated Tropical Rain Forest, oasis, located 560 Km north of Nairobi, Kenya; and surrounded by deserts of Chalbi, Kaisut and Bubisa. The forest is under threat mainly by anthropogenic effects before the forest biota is studied. This research was to investigate the role of bryophytes and forest canopy in trapping mist water, for supporting Mt. Marsabit forest community development. The experiments were located 1450 m. asl windward of Mt. Marsabit. Stem simulates of varying circumferences were dressed with bryophytes and bryophytes mounted mist traps were located on same site. The water retention capacity was 6 times own dry weight with a hygroscopic capacity of 13%. The mist water trapped by bryophytes was 8 liters of water / m ²/ mist day translating to 196 mm of rainfall per year. The stem simulates of 20 cm circumference, 50 cm long trapped 30 ml of water per mist day using surface area of 0.05 m² translating to 914 ml of water per m² per mist day equivalent to 65 mm of rainfall per year. The study revealed that vegetation is an important catchments area surface (attract rain) whose loss leads to reduced water resource for plant and animal use; climate moderation. Further, mist water is the compensation factor that supports the forest ecosystem. The cooling effect of water is lost with the loss of vegetation. The loss of water leads to drier environment with climate change as the ripple effect. The change in river regimes and the general hydrologic cycle is due to loss in vegetation, where mist water was not accounted for by science. The mist water resource is renewable water resource that can be used to recharge ground water, conserve and rehabilitate forest and provide water for domestic, agricultural and industrial use.
The Global Food‐Energy‐Water Nexus

Water availability is a major factor constraining humanity's ability to meet the future food and energy needs of a growing and increasingly affluent human population. Water plays an important role in the production of energy, including renewable energy sources and the extraction of unconventional fossil fuels that are expected to become important players in future energy security. The emergent competition for water between the food and energy systems is increasingly recognized in the concept of the “food‐energy‐water nexus. ” The nexus between food and water is made even more complex by the globalization of agriculture and rapid growth in food trade, which results in a massive virtual transfer of water among regions and plays an important role in the food and water security of some regions. This review explores multiple components of the food‐energy‐water nexus and highlights possible approaches that could be used to meet food and energy security with the limited renewable water resources of the planet. Despite clear tensions inherent in meeting the growing and changing demand for food and energy in the 21st century, the inherent linkages among food, water, and energy systems can offer an opportunity for synergistic strategies aimed at resilient food, water, and energy security, such as the circular economy.
Enhancing Pharmacy Student Business Management Skills by Collaborating With Pharmacy Managers to Implement Pharmaceutical Care Services

Objectives. Based on the Task Force on Professionalism recommendations for enhancing pharmacy students' management skills, a required course was redesigned to require students to work together in groups to develop business plans for implementing a patient care service for the manager of an existing pharmacy. Design. A survey instrument assessing student perceptions of their ability to contribute to the development of a business plan to implement a pharmaceutical care service was administered once to the graduating class of 2003 and twice to the class of 2004, 1 year prior to enrolling in the course and again after they completed the course. Assessment. The class of 2004 showed statistically significant improvement in their perceived ability to perform all business plan activities after they had completed the course compared with their perceptions of the same abilities/skills prior to taking the course. Furthermore, after completing the course, the class of 2004 indicated a slightly higher ability to perfo.
A hypoxia-related genes prognostic risk model, and mechanisms of hypoxia contributing to poor prognosis through immune microenvironment and drug resistance in acute myeloid leukemia

Objective: Acute myeloid leukemia (AML) is a malignant hematologic cancer with poor prognosis. Emerging evidence suggests a close association between AML progression and hypoxia. The purpose of this study was to establish a new risk prognostic model for AML based on hypoxia-related genes, and to explore the mechanisms by which hypoxia-related genes affect the prognosis of AML based on tumor immune microenvironment (TIME) and drug resistance. Methods: The AML patient samples obtained from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database were classified into C1 and C2 based on hypoxia-related genes, followed by analysis utilizing Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA). Through univariate and LASSO Cox regression analysis, the hypoxia-related hub genes 26S proteasome non-ATPase regulatory subunit 11 (PSMD11) and 26S proteasome non-ATPase regulatory subunit 14 (PSMD14) were identified to construct the model. AML patient samples were obtained from the TARGET and The Cancer Genome Atlas (TCGA) databases, serving as the training and the validation sets, and were stratified into high-risk and low-risk group according to the median risk score. The correlations between the model and TIME and anti-tumor drugs were analysed using CIBERSORT and Genomics of Drug Sensitivity in Cancer (GDSC) databases. The expressions of PSMD11/PSMD14 in clinical samples and AML sensitive and drug-resistant cell lines were detected by Western blot and real-time PCR. Results: The C1 group with high expression of hypoxia-related genes had lower overall survival (OS). Immune-related signaling pathways were different between C1/C2, and hypoxia was positively correlated with the activation of mammalian target of rapamycin (mTOR) signaling pathway. The model had good accuracy in both the training and the validation sets. The high-risk group exhibited lower OS and TIME activity, and was more sensitive to several anti-tumor drugs. PSMD11/PSMD14 were highly expressed in relapsed patients and AML drug-resistant cell lines. Conclusion: The established novel risk prognostic model and experiment results offer valuable insights for predicting AML prognosis and guiding drug selection. It also provides a fundamental framework for the mechanisms through which hypoxia impacts AML prognosis by modulating TIME and drug resistance.
The drivers of late Quaternary climate variability in eastern South Africa

Abstract. The scarcity of continuous, terrestrial, palaeoenvironmental records in eastern South Africa leaves the evolution of late Quaternary climate and its driving mechanisms uncertain. Here we use a ~ 7-m long core from Mfabeni peatland (KwaZulu-Natal, South Africa) to reconstruct climate variability for the last 32 thousand years (ka BP). We infer past vegetation and hydrological variability using stable carbon (𝛿13Cwax) and hydrogen isotopes (𝛿Dwax) of plant-wax n-alkanes and use Paq to reconstruct water table changes. Our results indicate that late Quaternary climate in eastern South Africa did not respond directly to orbital forcing nor to changes in sea surface temperatures (SSTs) in the western Indian Ocean. The arid conditions evidenced at Mfabeni during the Last Glacial Maximum (LGM) are a consequence of both low SSTs and an equatorward displacement of the southern hemisphere westerlies due to increased Antarctic sea ice extent. The increased humidity at Mfabeni between 19–14 ka BP likely resulted from decreased Antarctic sea ice which led to a southward retreat of the westerlies and increased the influence of the moisture-bearing tropical easterlies. Between 14–5 ka BP, when the westerlies were in their southernmost position, local insolation became the dominant control, leading to stronger atmospheric convection and an enhanced tropical easterly monsoon. Generally drier conditions persisted during the past c. 5 kyrs, but were overlain by high amplitude, millennial-scale environmental variability, probably resulting from an equatorward return of the southern hemisphere westerlies and heightened ENSO activity. Our findings stress the influence of the southern hemisphere westerlies in driving climatological and environmental changes in eastern South Africa.
Transcranial Magnetic Stimulation to Treat Neuropathic Pain: A Bibliometric Analysis

Neuropathic pain is caused by a lesion or disease of the somatosensory system and is one of the most incapacitating pain types, representing a significant non-met medical need. Due to the increase in research in the field and since innovative therapeutic strategies are required, namely in intractable neuropathic pain, neurostimulation has been used. Within this approach, transcranial magnetic stimulation (TMS) that uses a transient magnetic field to produce electrical currents over the cortex emerges as a popular method in the literature. Since this is an area in expansion and due to the putative role of TMS, we performed a bibliometric analysis in Scopus with the primary objective of identifying the scientific production related to the use of TMS to manage neuropathic pain. The research had no restrictions, and the analysis focused on the characteristics of the literature retrieved, scientific collaboration and main research topics from inception to 6 July 2023. A total of 474 articles were collected. A biggest co-occurrence between the terms “neuropathic pain” and “transcranial magnetic stimulation” was obtained. The journal “Clinical Neurophysiology” leads the Top 5 most productive sources. The United States is the most productive country, with 50% of US documents being “review articles”, followed by France, with 56% of French documents being “original articles”. Lefaucheur, JP and Saitoh, Y are the two most influential authors. The most frequent type of document was “original article”. Most of the studies (34%) that identified the neuropathic pain type focused on traumatic neuropathic pain, although a large proportion (38%) did not report the neuropathic pain type. This study allows us to provide a general overview of the field of TMS application for neuropathic pain and is useful for establishing future directions of research in this field.
Discovery of genetic risk factors for disease

ABSTRACT Advances in genomics have led to discovery of hundreds of mutations causing rare diseases and thousands of risk loci for complex diseases. As methods developed, I applied these first to map major genes in livestock and, more recently, to map genetic risk factors for common human diseases including melanoma and endometriosis. Genome-wide association studies (GWAS) have identified c. 10,000 genetic risk factors for human traits or diseases. These effects are small and a major challenge is that the results cannot be immediately translated into better understanding of disease biology or new drug targets. Major international efforts are in progress to bridge this gap and speed up target gene discovery with studies on genetic control of gene expression, epigenetic regulation and new high throughput methods to screen for functional consequences of GWAS ‘hits’. Understanding the genetic basis of disease is beginning to identify new drug targets, clarify the roles of environmental and biochemical exposures on disease development, and identify variants determining individual response to drugs. Translation and clinical applications will accelerate as the challenges to target gene identification are overcome. Grant W. Montgomery.
The Impact of "One Belt and One Road" Policy on Corporate Financing Constraints

This paper takes the introduction of the "One Belt and One Road" policy as a quasi-natural experiment, based on the data of A-share listed companies in Shanghai and Shenzhen from 2011 to 2016, and uses the Difference Inequality Method to investigate the impact of the "One Belt and One Road" policy on corporate financing constraints and its action path. The benchmark regression results show that the implementation of the "One Belt and One Road" policy significantly reduces the financing constraints of enterprises supported by the policy. After controlling for possible endogeneity problems by using the placebo test, this conclusion still holds. In addition, this paper also conducts grouping tests according to the industry characteristics of enterprises, and the results show that the mitigation effect of the "One Belt and One Road" policy on the financing constraints of enterprises is more significant in the high-tech industry. The analysis of the action mechanism shows that, on the one hand, compared with the enterprises not affected by the policy, the enterprises supported by the policy have more external financing and bank borrowing increments; on the other hand, compared with the enterprises not affected by the policy, the enterprises supported by the policy have lower bank borrowing financing costs and corporate bond financing costs, and more tax benefits. The study shows that the implementation of the "One Belt and One Road" policy mainly reduces corporate financing constraints through two channels: financing sources and operating costs. This finding not only helps to expand the research framework of macroeconomic policy and micro-enterprise behavior, but also has certain enlightenment for the in-depth understanding of the economic effects of the "Belt and Road" policy and the follow-up reform.
Design of a Ka-Band Dual Polarized SIW Slot Array Antenna with Low Mutual Coupling

The ±45° dual polarized standing-wave slot array antenna design method for mutual coupling and grating lobes suppression is proposed. The antenna is realized using substrate integrated waveguide (SIW) technology for Ka-band operation. The relative permittivity of a printed circuit board (PCB) and the width of radiating SIWs are chosen to meet orthogonalized arrangements between dual polarized radiators, and reduce the slot spacings in both longitudinal and transverse directions, simultaneously. As a result, the isolation and cross polarization levels for 4 × 4 dual polarized slot array antenna were obtained better than 30 dB and 15 dB at center frequency of 35 GHz, respectively.
Radiometric Calibration of SDGSAT-1 Nighttime Light Payload

Nighttime light plays an important role in social economy and human activities by observing artificial light at night. Accurate radiometric calibration is the basis of quantitative applications and influences the accuracy of surface information revision. A nighttime light payload, named glimmer imager (GLI), is onboard the sustainable development goals satellite (SDGSAT-1). The payload can acquire nighttime light observations with a spatial resolution of 10 m in the panchromatic bands and 40 m in the red/green/blue (RGB) bands. In this article, we proposed a vicarious radiometric calibration method for the GLI of SDGSAT-1 based on point light source and conducted experiment in the Dunhuang radiometric calibration site. Atmospheric profile, aerosol optical depth (AOD), and total column water vapor content were measured during the in situ measurements and were used to simulate the at-sensor radiance at the entrance of satellite payload via moderate resolution atmospheric transmission (MOTRAN). Our result shows that there is a strong linear correlation between the simulated at-sensor radiance and the DN value, with R2 larger than 0.91. Moreover, uncertainties of the vicarious radiometric calibration induced by relative spectral response shift, AOD content measurements, atmospheric profile measurements, AOD-type assumption, and specialized point light itself are also discussed. Results show that the overall uncertainty of vicarious radiometric calibration for nighttime light payload onboard SDGSAT-1 based on point light sources is between 4.00% and 5.50%. The comparison between GLI/SDGSAT-1 and DNB/VIIRS at Athens, Denver, and Milan shows a strong correlation with R2 larger than 0.80. Our analysis reveals the feasibility of vicarious radiometric calibration method based on point light source for nighttime light payload.
The Impact of Weather on Local Employment: Using Big Data on Small Places

This paper exploits vast granular data – over 10 million county-industry-month observations – to estimate dynamic panel data models of weather’s short-run employment effects. I estimated the contemporaneous and cumulative effects of temperature, precipitation, snowfall, the frequency of very hot days, the frequency of very cold days, and natural disasters on private nonfarm employment growth. The short-run effects of weather vary considerably across sectors and regions. Favorable weather in one county has positive spillovers to nearby counties but negative spillovers to distant counties. Local climate mediates weather effects: economies are less sensitive to types of weather they are accustomed to.
Research on the Underlying Principles and Deep Learning Algorithms based on Image Style Conversion Techniques

Image style transformation techniques are an important research area in the field of computer vision, aiming to combine the content of one image with the artistic style of another image to create new images with the content of the input image and the style of the artistic style image. The development of this field has benefited from the rapid development of deep learning algorithms, especially the application of techniques such as Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN). At the heart of image style transformation is how to capture both the content and artistic style of the input image. This is typically achieved by using different levels of activation of the convolutional neural network as content and style representations. The content representation captures the object and structural information in the image, while the style representation captures the texture and colour information of the image. To capture the style of an image, a Gram matrix is typically used to measure the correlation between features at a particular level. This matrix representation allows us to capture texture information and colour distribution, thus enabling style migration. The goal of the image style transformation model is to minimise both content loss and style loss to produce synthetic images. Content loss typically uses Euclidean distance to measure the difference between content representations, while style loss involves the distance between Gram matrices. GANs have become an important tool in image style transformation. The generator network is responsible for generating synthetic images and the discriminator network evaluates the realism of the generated images. Through adversarial training, the generator and discriminator networks constantly compete to improve the quality of the generated images. Finally, this study highlights the potential applications of image style conversion techniques in the fields of art creation, image editing and virtual reality, and proposes directions for future research on deep learning algorithms and underlying principles to further improve the efficiency and quality of image style conversion techniques. The continuous development of this field will bring new opportunities for image processing and creative applications.