Miracle-dz/UniFAR-FTUs huggingface dataset:
Intercomparison of High-Precision 14C Measurements at the University of Arizona and the Queen's University of Belfast Radiocarbon Laboratories

High-precision measurements were completed concurrently at the University of Arizona and the Queen's University of Belfast on blind samples of Irish oak originally measured for the 1986 radiocarbon calibration curve. Subsequent single-year Sequoiadendron results were decadally averaged and compared with published results on decadal Douglas-fir samples. The results of these intercomparisons show that the Arizona high-precision results compare favorably with published values from the University of Washington, but show a systematic offset with published Belfast data.
Fuel loading in Eucalyptus dunnii and Pinus taeda plantations in southern Brazil

An inventory was conducted in the Tres Barras county, state of Santa Catarina, Brazil (26 o 15'S latitude and 50 o 48'W longitude), in order to develop predicting models for fuel loading in Eucalyptus dunnii and Pinus taeda (loblolly pine) plantations. Sampling was done in eucalyptus stands with 22, 34, 55, 78, 92, 103, 113 and 124 months, and pine stands with 3, 5, 7, 9, 11, 13, 15, and 17 years of age, covering the whole rotation of the plantations. In eucalyptus, age was the variable that provided best fits for all predicting models, except live surface fuel, that was best predicted through the understory vegetation height and basal area. In loblolly pine, fuel bed depth was the variable that provided best fits for all predicting models, and the inclusion of other independent variables did not improve the models precision.
The role of tumor-associated macrophages in glioma cohort: through both traditional RNA sequencing and single cell RNA sequencing

Gliomas are the leading cause in more than 50% of malignant brain tumor cases. Prognoses, recurrences, and mortality are usually poor for gliomas that have malignant features. In gliomas, there are four grades, with grade IV gliomas known as glioblastomas (GBM). Currently, the primary methods employed for glioma treatment include surgical removal, followed by chemotherapy after the operation, and targeted therapy. However, the outcomes of these treatments are unsatisfactory. Gliomas have a high number of tumor-associated macrophages (TAM), which consist of brain microglia and macrophages, making them the predominant cell group in the tumor microenvironment (TME). The glioma cohort was analyzed using single-cell RNA sequencing to quantify the genes related to TAMs in this study. Furthermore, the ssGSEA analysis was utilized to assess the TAM-associated score in the glioma group. In the glioma cohort, we have successfully developed a prognostic model consisting of 12 genes, which is derived from the TAM-associated genes. The glioma cohort demonstrated the predictive significance of the TAM-based risk model through survival analysis and time-dependent ROC curve. Furthermore, the correlation analysis revealed the significance of the TAM-based risk model in the application of immunotherapy for individuals diagnosed with GBM. Ultimately, the additional examination unveiled the prognostic significance of PTX3 in the glioma group, establishing it as the utmost valuable prognostic indicator in patients with GBM. The PCR assay revealed the PTX3 is significantly up-regulated in GBM cohort. Additionally, the assessment of cell growth further confirms the involvement of PTX3 in the GBM group. The analysis of cell proliferation showed that the increased expression of PTX3 enhanced the ability of glioma cells to proliferate. The prognosis of glioblastomas and glioma is influenced by the proliferation of tumor-associated macrophages.
Efficacy and Safety of Anti-HER2 Targeted Therapy for Metastatic HR-Positive and HER2-Positive Breast Cancer: A Bayesian Network Meta-Analysis

Despite the development of HER2-targeted drugs, achieving favorable outcomes for patients with HR+/HER2+MBC remains challenging. This study utilized Bayesian Network Meta-analysis to compare the efficacy and safety of anti-HER2 combination regimens. The primary analysis focused on progression-free survival (PFS), while secondary analyses included objective response rate, overall survival (OS) and the incidence rate of grade 3/4 adverse events (AEs). A comprehensive search across seven databases identified 25 randomized controlled trials for inclusion in this meta-analysis. For patients eligible for endocrinotherapy, our findings revealed that dual-target combined endocrine therapy, such as Her2-mAb+Her2-mAb+Endo (HR = 0.38; 95%CrI: 0.16–0.88) and Her2-mAb+Her2-tki+Endo (HR = 0.45; 95%CrI: 0.23–0.89), significantly improved PFS compared to endocrine therapy alone. According to the surface under the cumulative ranking curves (SUCRAs), Her2-mAb+Her2-mAb+Endo and Her2-mAb+Her2-tki+Endo ranked highest in terms of PFS and OS, respectively. For patients unsuitable for endocrine therapy, anti-HER2 dual-target combined chemotherapy, such as Her2-mAb+Her2-mAb+Chem (HR = 0.76; 95%CrI: 0.6–0.96) and Her2-mAb+Her2-tki+Chem (HR = 0.48; 95%CrI: 0.29–0.81), demonstrated significant improvements in PFS compared to Her2-mAb+Chem. The results were the same when compared with Her2-tki+Chem. According to the SUCRAs, Her2-mAb+Her2-tki+Chem and Her2-mAb+Her2-mAb+Chem ranked highest for PFS and OS, respectively. Subgroup analyses consistently supported these overall findings, indicating that dual-target therapy was the optimal approach irrespective of treatment line.
3D building internal structural component segmentation from point cloud data using DBscan and modified ransac with normal deviation conditions

Nowadays, the laser scanner plays an important role as a tool to capture building structure in a form of point cloud which can be used to draw a blueprint or a floor plan for reconstruction or renovation of an existing building. The point cloud data represent a shape or an object in three dimensions. This point cloud together with the utilization of Building Information Modeling (BIM) which is a workflow that provides information about the foundation and structure measurement of a building, make a planning and design to construction more convenient and efficient in several aspects than the traditional way. However, using BIM to design or construct the internal structure of an existing building from point cloud manually can be very time consuming and requires a highly skilled engineer. The development of a method that can automatically construct the internal structure of an existing building from point cloud can facilitate the process of model creation. Among the whole process of construction, segmentation is an important process that identifies the main components of a building, which is still a challenging problem for researchers to develop an algorithm that can automatically segment the internal structural components of the building. The objective of this research is to develop a segmentation method that can extract the planar structures of a building from point cloud using the modified Random Sample Consensus (RANSAC) algorithm. The original RANSAC is modified by reducing the computational complexity using localized sampling, and the quality of segmentation is improved by adding normal deviation with connectivity constraints to RANSAC's score calculation. The original RANSAC and the proposed method were evaluated on the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark dataset. The segmentation results of the proposed method were visually compared to the results of the original RANSAC and it can be seen that the extracted components from the proposed method are closer to the actual structure and can also preserve the overall characteristics of the buildings.
Effects of Combinations of Cropping Sequences and Biocovers on Yield of Glyphosate-tolerant Corn, Soybean, and Cotton under No-till

No-till acreage is increasing in the United States as producers begin to recognize the environmental and economic benefits of this management system. Although the potential to receive carbon credits or payments for maintaining or initiating no-till may encourage producers to employ these practices, crop yields will be a factor in management decisions. Our objective was to examine the effects of combinations of cropping sequences and winter biocovers upon glyphosate-tolerant corn, cotton, and soybean yields under long-term no-tillage at two locations in Tennessee. Research was conducted during the first four-year phase (2002-2005) of a two-phase agronomic systems study (2002-2009) at the Research and Education Center at Milan (RECM) in Milan, Tennessee, and the Middle Tennessee Research and Education Center (MTREC) in Spring Hill, Tennessee. The experiment was a randomized complete block design with split block treatments, with the main plots consisting of 13 different cropping sequences of corn, cotton, and soybean at RECM and eight different cropping sequences of corn and soybean at MTREC. The subplots consisted of hairy vetch, wheat, poultry litter and fallow biocovers applied perpendicular to the sequences. Rotated corn and soybean yields were comparable to or higher than their respective monoculture sequences at both locations. At RECM, cotton yields took longer to respond to rotation as rotated cotton yields only outperformed continuous cotton in the final year. At both sites, corn and soybean yields were highest under fallow and poultry litter biocovers, respectively. Cotton yields were highest under poultry litter at RECM. Interaction effects of cropping sequence x biocovers were inconsistent as interaction effects were only observed on corn yields at MTREC in 2004 and 2005. Hairy vetch, wheat, and poultry increased yields iv when changing from continuous corn to rotated corn. The presence of some cropping sequence x biocover interaction effects is encouraging and perhaps suggests a longer time period may be needed for the combined effects of crop sequence and biocovers upon crop yields to become apparent. Results from the next four years of the experiment will provide more information on the long-term effects of crop sequence and biocovers on corn, soybean, and cotton yields.
Levetiracetam-Induced Acute Psychosis in an Adolescent

Levetiracetam (LEV), a second-generation antiepileptic, is used as an adjunct therapy in primary generalized tonic–clonic seizures, refractory partial-onset seizures, and seizure prophylaxis after brain surgery. It is well tolerated, effective and has a convenient dosing regimen. As any other drugs, it has some adverse drug effects, including neuropsychiatric adverse effects ranging from agitation and mood symptoms to psychosis and suicide. Strong diagnostics guidelines are yet to be formulated for LEV-induced psychosis; however, complete recovery from psychotic symptoms after stopping LEV supports the possible adverse reaction from Naranjo's algorithm and, hence, the diagnosis. This case report presents a 16 years boy with focal onset generalized tonic–clonic seizure, whose drug regimen was switched to LEV, following which he had the delusion of persecution, second-person auditory hallucination, and aggressive behavior, which decreased on the 2nd day of cessation of LEV.
Primary Spinal Intradural Extramedullary Ewing’s Sarcoma/Peripheral Neuroectodermal Tumour Masquerading Clinically as a Neurogenic Tumour: A Case Report and Review of Literature

Ewing’s Sarcomas (ES)/Peripheral neuroectodermal tumour (pPNET) are heterogenous group of rare, highly malignant, undifferentiated primitive round-cell neoplasms of neuroectodermal origin. pPNETs are seldom observed to involve the spine of which Spinal Intradural Extramedullary Extraosseous Primary ES/pPNET are extremely rare. We report a case of a 23-year-old male with complaints of low backache and hip pain radiating to the left inguinal region for four months. Radiology findings were suggestive of a neurogenic tumour. Cytomorphology, histomorphology and immunohistochemistry evaluation were done. Diagnosis was consistent with ES/pPNET. Careful correlation between clinical history, cytomorphology, histopathology, immunohistochemical and molecular analysis can help to distinguish primary spinal ES/PNET from other primary spinal tumours and will help clinicians to start treatment at the earliest.
Previously Untreated Ulcerative Colitis With Newly Diagnosed Primary Sclerosing Cholangitis: A Case Report

Primary sclerosing cholangitis (PSC) is a rare type of autoimmune hepatic disease with unknown pathophysiology, often a sequela of ulcerative colitis (UC). Liver transplant, though curative, is inaccessible to many patients due to stringent organ availability and barriers to sufficient insurance coverage. Low health literacy and low socioeconomic class can significantly limit healthcare access and thus worsen overall healthcare outcomes. Here, we present the case of an uninsured 49-year-old man with untreated UC who was diagnosed with PSC and subsequently became lost to follow-up. It is critical for providers to identify barriers to acquiring appropriate medical care, such as financial instability and low health literacy, when identifying and treating conditions like PSC. Moreover, more research should be performed to investigate alternative treatments for PSC.
Communicator Extraordinaire: Extracellular Vesicles in the Tumor Microenvironment Are Essential Local and Long-Distance Mediators of Cancer Metastasis

Human tumors are increasingly being described as a complex “ecosystem”, that includes many different cell types, secreted growth factors, extracellular matrix (ECM) components, and microvessels, that altogether create the tumor microenvironment (TME). Within the TME, epithelial cancer cells control the function of surrounding stromal cells and the non-cellular ECM components in an intricate orchestra of signaling networks specifically designed for cancer cells to exploit surrounding cells for their own benefit. Tumor-derived extracellular vesicles (EVs) released into the tumor microenvironment are essential mediators in the reprogramming of surrounding stromal cells, which include cancer-associated fibroblasts (CAFs), tumor-associated macrophages (TAMs), tumor-infiltrating lymphocytes (TILs), and tumor endothelial cells (TECs), which are responsible for the promotion of neo-angiogenesis, immune cell evasion, and invasion which are essential for cancer progression. Perhaps most importantly, tumor-derived EVs play critical roles in the metastatic dissemination of tumor cells through their two-fold role in initiating cancer cell invasion and the establishment of the pre-metastatic niche, both of which are vital for tumor cell migration, homing, and colonization at secondary tumor sites. This review discusses extracellular vesicle trafficking within the tumor microenvironment and pre-metastatic niche formation, focusing on the complex role that EVs play in orchestrating cancer-to-stromal cell communication in order to promote the metastatic dissemination of cancer cells.
Extracellular vesicle‑mediated RNA editing may underlie the heterogeneity and spread of hepatocellular carcinoma in human tissue and in vitro

Extracellular vesicles (EVs) produced by various cells, including tumor cells, carry biomolecules to neighboring cells. In hepatocellular carcinoma (HCC), adenosine to inosine RNA editing of antizyme inhibitor 1 (AZIN1), specifically regulated by adenosine deaminase acting on RNA-1 (ADAR1), promotes carcinogenesis. The present study examined if EVs and ADAR1 in the EVs released from HCC cells are transferred to neighboring cells in co-culture systems and reporter assay. Distribution of the ADAR1 expression in human tissues were examined by immunohistochemistry. EVs released from HCC cells containing ADAR1 were delivered to neighboring HCC cells and non-cancerous hepatocytes. The increased ADAR1 protein levels resulted in serine to glycine substitution at residue 367 of AZIN1, which augmented transformation potential and increased aggressive behavior of cancer cells. In clinically resected samples, ADAR1 distribution was highly heterogeneous within the tumor specimen and denser in non-cancerous tissue surrounding the HCC tissue. These observations suggested that ADAR1 protein may be delivered from HCC cells to neighboring cells via EVs and that EV-mediated RNA editing may serve a pivotal role in determining HCC heterogeneity and spread.
Hibiscus Anthocyanins Extracts Induce Apoptosis by Activating AMP-Activated Protein Kinase in Human Colorectal Cancer Cells

Apoptosis, a programmed cell death process preventing cancer development, can be evaded by cancer cells. AMP-activated protein kinase (AMPK) regulates energy levels and is a key research topic in cancer prevention and treatment. Some bioactive components of Hibiscus sabdariffa L. (HAs), including anthocyanins, have potential anticancer properties. Our study investigated the in vitro cytotoxic potential and mode of action of HAs extracts containing anthocyanins in colorectal cancer cells. The results showed that Hibiscus anthocyanin-rich extracts induced apoptosis in human colorectal cancer cells through the activation of multiple signaling pathways of AMPK. We observed the dose–response and time-dependent induction of apoptosis with HAs. Subsequently, the activation of Fas-mediated proteins triggered apoptotic pathways associated with Fas-mediated apoptosis-related proteins, including caspase-8/tBid. This caused the release of cytochrome C from the mitochondria, resulting in caspase-3 cleavage and apoptosis activation in intestinal cancer cells. These data elucidate the relationship between Has’ regulation of apoptosis-related proteins in colorectal cancer cells and apoptotic pathways.
Mechanism and reaction pathways of CO2 AND HCO3-photoreduction to hydrocarbons

CO2/HCO3-�photocatalytic reductions in water, using P25 Titanium dioxide, produce�gas products�at the order of the following rate: �CO>H2>CH4, using bicarbonate as a substrate, reduction rates are ca. �5 times faster than using CO2�due to the adsorption constant of CO2�on the TiO2�surface is smaller than the bicarbonate. Langmuir-Hinshelwood kinetic model was used to describe the mechanism; therefore, adsorption constant (K) and the�rate of maximum substrate coverage (k) at different charges of P25-surface were readily obtained. The K constant of TiO2-adduct formation favors�no charge surface but k constant favors positive charge surface. Most of the products formed come from partitioning of the radical anion (TiO2-CO2.-) in the rate-limiting step. However, the bicarbonate�absorption at OV�promotes alternative pathways. This�provides more CO and H2�production. Solvent isotope effect (H2O Vs. D2O) is ca. 1.5. This means that during the radical anion formation in the transition state, there is H being transferred from water in the radical anion intermediate step. �In addition, the collapse of anatase and rutile phases from sonication increases CH4�production rate and selectivity due to improved charge separation�that reduces�alternative pathways.
Variability of surface temperature in agricultural fields of central California

In an attempt to evaluate the relationship between hand-held infrared thermometers and aircraft thermal scanners in near-level terrain and to quantify the variability of surface temperatures within individual fields, ground-based and aircraft thermal sensor measurements were made along a 50-km transect on 3 May 1979 and a 20-km transect on 7 August 1980. These comparisons were made on fields near Davis, California. Agreement was within 1 C for fields covered with vegetation and 3.6 C for bare, dry fields. The variability within fields was larger for bare, dry fields than for vegetatively covered fields. In 1980, with improvements in the collection of ground truth data, the agreement was within 1 C for a variety of fields.
Learning-Based Object Recognition via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper

Compared to the traditional robot, which is rigidly structured, the soft robot, usually made of soft material, or following a continuous movement pattern, has attracted extensive attention due to its unique features, such as high adaptivity to various unstructured environments and safe interaction with living beings through the deformable interface. However, mechanical and morphological requirements limit the design and implementation of a compatible sensing module, which restricts the further development of robotic functionality. Here, we designed a flexible soft sensing Wire with the piezoresistive Eutectogel packed in an Ecoflex tube (WEE), which is sensitive, stable, and easily manipulated. The wire and its array facilitated the perception function of the soft gripper and acted as the Electronic skin (E-skin) to acquire information from grasped objects. With the built-in E-skin, the gripper achieved object recognition at an accuracy of 93.78% for standard geometric objects in 9 categories based on a machine learning model. In addition, our design successfully demonstrated its application in fruit sorting, which proves its robustness and versatility. The proposed WEE-based E-skin can be easily applied to other soft robots with facile integration and further expedites advanced functionalization in robot-object interaction.
The value of silvopastoral systems in the mitigation of greenhouses gas emissions: a case study from NW Spain.

Carbon sequestration is promoted as a practice to offset the negative consequences of greenhouse gas emissions. The aim of this study was to estimate carbon sequestration in silvopastoral systems established with Pinus radiata D. Don and Betula pubescens Ehrh. The soil compartment proved the most significant carbon sink, and carbon sequestration tended to be higher under P. radiata due to the higher growth rate of this species compared to B. pubescens .
Profitability and Leverage: Different Effects of Negative Profits?

Objective – This study aims to examine the effect of profitability on leverage in firms with negative profits and the sensitivity of the COVID-19 pandemic in explaining the effect of profitability on leverage.Design/Methodology –This study uses unbalanced panel data for 660 firm-year observations over 4 (four) years from 2018 to 2021 on non-financial service firms. Two-stage least square regression was utilized to examine the effect of profitability on leverage.Results –Consistent with several previous studies, this study indicates that profitability negatively affects leverage and has similar results in firms with negative profits. Another finding is that the COVID-19 pandemic is not sensitive to explaining the effect of profitability on leverage. Both the pre-COVID-19 pandemic and during the COVID-19 pandemic, profitability has a similar effect on leverage.Research limitations/implications –This study is conducted over a short period, only four years. The study provides a new perspective on the effect of profitability on leverage in companies with negative profits and the pecking order theory in explaining the relationship between profitability and leverage in the Indonesian context.Novelty/Originality –This study examines the effect of profitability on leverage in firms with negative and positive profits using a two-stage least square (2SLS) in the Indonesian context.
EVOLUÇÃO CONCEITUAL DO TERMO ECOSSISTEMA DE INOVAÇÃO

A falta de consistência teórica em relação à terminologia do ecossistema de inovação produz uma teoria muito fragmentada e diversificada, que não garante consolidação do conhecimento. Dessa forma, através de uma revisão sistemática da literatura indexada na base de dados Web of Science de 2017 a 2022, este trabalho se propôs a verificar o atual panorama publicações a respeito dos conceitos atribuídos ao ecossistema de inovação. Primeiro, mostramos um panorama de publicações a respeito da conceituação dos ecossistemas, abordando os anos, as revistas e os autores mais representativos. Em seguida trouxemos um quadro conceitual a respeito dos ecossistemas que foram abordados nesses últimos cinco anos, juntamente com uma discussão cronológica da evolução do ecossistema de negócios e inovação, trazendo os principais termos usados e as similaridades e disparidades entre eles.