Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the potential impacts of climate change on native pasture production: implications for livestock carrying capacity

The implications of future climate change, on animal carrying capacity have been assessed in this project using a pasture production model GRASP. Projected changes in production have been expressed in terms of changes in animal carrying capacity through the examination of current (1990s) relationships between simulated plant production and animal numbers. The GRASP model uses a number of variables to determine growth. These variables include daily climates, soils, tree densities, grass community composition and CO2 concentration. The sensitivity of C3 native pasture species to increased temperatures is clearly identified under scenarios of increased temperature and increased rainfall. Under these climatic conditions the area with predominance of C4 grasses seem to be able to maximise growth where C3 pasture species predominated, increased temperatures resulted in negative impacts on growth.
Sucrose acetate isobutyrate (SAIB) and glyceryl monooleate (GMO) hybrid nanoparticles for bioavailability enhancement of rivaroxaban: an optimization study

Abstract This study aims to improve the RXB bioavailability using hybrid nanoparticles. A modified melt dispersion technique created different formulas with varying GMO-SAIB: RXB and GMO: SAIB ratios, with fixed GMO-SAIB: poloxamer 407 ratios. The PS, PDI, ZP, and EE were measured to determine the optimal formula, which was selected using Design-Expert™ software. The optimized formula was lyophilized and tested for PS, PDI, ZP, and EE. The chosen lyophilized formula (L4) was characterized using FTIR, DSC, PXRD, dissolution studies, and pharmacokinetics studies. The study found correlations between variables and identified how GMO-SAIB concentration affects drug encapsulation. The dissolution parameters were calculated, including % Q5 and % DE). The % Q5 values were 68.4 ± 1.7% and 89.7 ± 3.6% for Xarelto and L4 tablets, respectively. The % DE values were 89.7 ± 0.4% and 97.5 ± 2.1% for Xarelto and L4 tablets, respectively. The AUC values were 2117.0 ng.h/mL (±77.3) and 3919.4 ng.h/mL (±134.8) for Xarelto and L4 tablets, respectively. The Cmax values were 241.3 ng/mL (±21.0) and 521.5 ng/mL (±91.5) for Xarelto and L4 tablets, respectively. In conclusion, the study found that using GMO-SAIB as co-formers effectively enhanced the bioavailability of RXB. The authors recommend using the hybrid nanoparticles technique and suggest further research to enhance its effectiveness for drug delivery. Graphical Abstract
Population densities and diurnal activity pattern of the Indian Roller Coracias benghalensis (Aves: Coraciiformes) in Nagapattinam District, Tamil Nadu, India

Population densities and diurnal activity pattern of the Indian Roller were studied in Nagapattinam District over three years in different habitats. The agricultural lands supported the highest populations (41km-2), followed by river banks (36km-2) and social forests (32km-2); populations showed yearly variations in numbers and density in all habitats. On average, birds were observed to spend most of the day scanning (57%), with the remainder divided among feeding (16%), flying, (12%), preening (10%) and resting (5%). Some variations in activity breakdown were observed between time blocks, seasons and habitats.
Selective targeting of parallel G-quadruplex structure using L-RNA aptamer

Abstract G-quadruplexes (G4) are special nucleic acid structures with diverse conformational polymorphisms. Selective targeting of G-quadruplex conformations and regulating their biological functions provide promising therapeutic intervention. Despite the large repertoire of G4-binding tools, only a limited number of them can specifically target a particular G4 conformation. Here, we introduce a novel method, G4-SELEX-Seq and report the development of the first L-RNA aptamer, L-Apt12-6, with high binding selectivity to parallel G4 over other nucleic acid structures. Using parallel dG4 c-kit 1 as an example, we demonstrate the strong binding affinity between L-Apt12-6 and c-kit 1 dG4 in vitro and in cells, and notably report the applications of L-Apt12-6 in controlling DNA replication and gene expression. Our results suggest that L-Apt12-6 is a valuable tool for targeting parallel G-quadruplex conformation and regulating G4-mediated biological processes. Furthermore, G4-SELEX-Seq can be used as a general platform for G4-targeting L-RNA aptamers selection and should be applicable to other nucleic acid structures.
Provision of dietary education in UK-based cardiac rehabilitation: a cross-sectional survey conducted in conjunction with the British Association for Cardiovascular Prevention and Rehabilitation

Dietary education is a core component of cardiac rehabilitation (CR). It is unknown how or what dietary education is delivered across the UK. We aimed to characterise practitioners who deliver dietary education in UK CR and determine the format and content of the education sessions. A fifty-four-item survey was approved by the British Association for Cardiovascular Prevention and Rehabilitation (BACPR) committee and circulated between July and October 2021 via two emails to the BACPR mailing list and on social media. Practitioners providing dietary education within CR programmes were eligible to respond. Survey questions encompassed: practitioner job title and qualifications, resources, and the format, content and individual tailoring of diet education. Forty-nine different centres responded. Nurses (65·1 %) and dietitians (55·3 %) frequently provided dietary education. Practitioners had no nutrition-related qualifications in 46·9 % of services. Most services used credible resources to support their education, and 24·5 % used BACPR core competencies. CR programmes were mostly community based (40·8 %), lasting 8 weeks (range: 2–25) and included two (range: 1–7) diet sessions. Dietary history was assessed at the start (79·6 %) and followed up (83·7 %) by most centres; barriers to completing assessment were insufficient time, staffing or other priorities. Services mainly focused on the Mediterranean diet while topics such as malnutrition and protein intake were lower priority topics. Service improvement should focus on increasing qualifications of practitioners, standardisation of dietary assessment and improvement in protein and malnutrition screening and assessment.
Superanionic DNA: enzymatic synthesis of hypermodified DNA bearing four different anionic substituents at all four nucleobases

Abstract We designed and synthesized a set of four 2′-deoxyribonucleoside 5′-O-triphosphates (dNTPs) derived from 5-substituted pyrimidines and 7-substituted 7-deazapurines bearing anionic substituents (carboxylate, sulfonate, phosphonate, and phosphate). The anion-linked dNTPs were used for enzymatic synthesis of modified and hypermodified DNA using KOD XL DNA polymerase containing one, two, three, or four modified nucleotides. The polymerase was able to synthesize even long sequences of >100 modified nucleotides in a row by primer extension (PEX). We also successfully combined two anionic and two hydrophobic dNTPs bearing phenyl and indole moieties. In PCR, the combinations of one or two modified dNTPs gave exponential amplification, while most of the combinations of three or four modified dNTPs gave only linear amplification in asymmetric PCR. The hypermodified ONs were successfully re-PCRed and sequenced by Sanger sequencing. Biophysical studies including hybridization, denaturation, CD spectroscopy and molecular modelling and dynamics suggest that the presence of anionic modifications in one strand decreases the stability of duplexes while still preserving the B-DNA conformation, whilst the DNA hypermodified in both strands adopts a different secondary structure.
Analysis of environmental samples

This is the nineth biennial review on analysis of environmental samples in Fenxi Shiyanshi(Chinese Journal of Analysis Laboratory). The review covers the aspects of development in environmental analysis and monitoring in China from January 2006 to December 2007,which contains following subtitles: introduction,air and exhaust gas analysis,water and wastewater analysis,soil and sediment analysis,biological samples analysis,municipal sludge analysis,municipal solid waste compost and landfill leachate analysis.A total of 990 references are cited.
A cases series of endovascular and microsurgical combined treatment of intracranial aneurysms

Objective: Our scientific paper is aimed at describing multimodal treatment of intracranial aneurysms represented by microsurgery and endovascular therapy. Patients, Materials and Methods: We report four cases of intracranial aneurysms treated in our Department of Neurosurgery by microsurgery (clipping) and endovascular treatment (coiling), through the joint efforts of a team of highly skilled neurosurgeons. Results: Mixed treatment has been imposed by the complications we were presented with, resulting from either of the two surgical methods employed. Conclusions: Although endovascular surgery is considered a newer treatment method, favored by many practitioners, and preferred by patients, there are situations where open surgery is still required. There are certain situations were using one of the surgical methods fails and a complementary procedure is required for a secure and successful treatment. The cases reported here will demonstrate the utility of combining the two procedures.
Lung cancer and type 2 diabetes experience in Dolj County (southwest region of Romania) – a clinical, bioclinical and pathological study

Background and Aim: Type 2 diabetes (T2D) and cancer, the most important public health problems nowadays, and the mechanisms between the presence of diabetes and the development of malignancies remain unclear. The leading cause of cancer death in 2020 is attributed to lung cancer. This study aimed to highlight the impact of the association of these two diseases and the predominant histopathological type of lung cancer in the selected group, glycemic imbalance, and information about the course and outlook for these patients. Patients, Materials and Methods: The authors proposed a case-control 10-year period study, between 2007 and 2017, of two groups of patients diagnosed with T2D and lung cancer who underwent hospitalization at the Clinic of Medical Oncology, Emergency County Hospital, Craiova, Romania. Results: Our study showed a higher incidence of lung adenocarcinoma in patients diagnosed with T2D. The inflammatory syndrome is more pronounced in the diabetic group, which is supported by correlations between lactate dehydrogenase (LDH), albumin, and hemoglobin levels. Conclusions: The duration of cancer treatment in lung cancer and the survival rate is strongly influenced by the presence of diabetes as a concomitant disease.
Drosophila tweety facilitates autophagy to regulate mitochondrial homeostasis and bioenergetics in Glia

Mitochondria support the energetic demands of the cells. Autophagic turnover of mitochondria serves as a critical pathway for mitochondrial homeostasis. It is unclear how bioenergetics and autophagy are functionally connected. Here, we identify an endolysosomal membrane protein that facilitates autophagy to regulate ATP production in glia. We determined that Drosophila tweety (tty) is highly expressed in glia and localized to endolysosomes. Diminished fusion between autophagosomes and endolysosomes in tty‐deficient glia was rescued by expressing the human Tweety Homolog 1 (TTYH1). Loss of tty in glia attenuated mitochondrial turnover, elevated mitochondrial oxidative stress, and impaired locomotor functions. The cellular and organismal defects were partially reversed by antioxidant treatment. We performed live‐cell imaging of genetically encoded metabolite sensors to determine the impact of tty and autophagy deficiencies on glial bioenergetics. We found that tty‐deficient glia exhibited reduced mitochondrial pyruvate consumption accompanied by a shift toward glycolysis for ATP production. Likewise, genetic inhibition of autophagy in glia resulted in a similar glycolytic shift in bioenergetics. Furthermore, the survival of mutant flies became more sensitive to starvation, underlining the significance of tty in the crosstalk between autophagy and bioenergetics. Together, our findings uncover the role for tty in mitochondrial homeostasis via facilitating autophagy, which determines bioenergetic balance in glia.
Temperament, but not childhood trauma, distinguishes borderline personality disorder from bipolar disorder and ADHD

Abstract Background The aim of this study was to investigate if temperament and experience of childhood trauma differed between young psychiatric patients with borderline personality disorder (BPD), bipolar disorder (BD) and attention-deficit/hyperactivity disorder (ADHD). Methods Diagnoses were based on the Structured Clinical Interview for DSM Axis I and Axis II. Temperament was assessed by the Temperament and Character Inventory (TCI) and childhood trauma by the Early Trauma Inventory-Self Report-Short Form (ETI-SR-SF). Temperament and childhood trauma were compared between the BPD group (n = 19) and the non-BPD group (BD/ADHD) (n = 95). Interactions between trauma and temperament were evaluated using a logistic regression model with a BPD diagnosis as outcome variable. Results Participants in the BPD group showed higher novelty seeking (NS) and harm avoidance (HA). Traumatic experiences in childhood were common but the BPD group differed very little from the others in this regard. The interaction between temperament and trauma had low explanatory power for a BPD diagnosis in this sample. Conclusion Temperament might be useful to distinguish BPD when symptoms of impulsivity and affective instability are evaluated in psychiatric patients. The results from the interaction analysis support the multifactorial background to BPD.
Modeling Climate Change Impacts On The Thermodynamics Of Oneida Lake: Applications Of A Dynamic Reservoir Simulation Model

Substantial change in climate is predicted to occur across the globe this century. Understanding climatic impacts on lake ecosystems is highly relevant as they will have important effects on eutrophication, ecosystem processes, and aquatic biodiversity. Field-based monitoring and modeling were used to evaluate the impacts of predicted climate change on Oneida Lake temperature profiles and stratification. Oneida Lake is a 207 km 2 shallow, polymictic lake located in the center of an extensive 3,579 km 2 watershed in Central New York. Field data were collected on stream and groundwater temperature loading, weather, and lake temperatures at varying depths to calibrate and validate the Oneida Lake thermodynamics model. Downscaled climate data from three general circulation models and two emissions scenarios provided by the Northeast Regional Climate Center and maximum projections were used to assess the impacts of different anticipated climate scenarios on the lake for 2050 and 2099. Lake temperature profiles under current and anticipated conditions were modeled using a deterministic, one-dimensional model, Dynamic Reservoir Simulation Model (DYRESM), from the University of Western Australia Centre for Water Research. The sensitivity analysis confirmed the importance of meteorological variables, including solar radiation and wind speed, as drivers to the thermal regime of the lake. A best fit model was obtained by decreasing wind speed by 25%, mean albedo to 1%, and minimum layer thickness to 0.5 m. By the end of the century, the predicted increase in air temperatures and precipitation associated with the higher emissions scenario will be paralleled by an average increase in 2 m and 10 m water temperatures (April – November) of 2.47°C (SD 1.08) and 2.01°C (SD 1.43), respectively. Additionally, the higher emissions scenario indicated an increase of 15 consecutive days of stratification in Oneida Lake. This study contributes to our understanding of the thermal regime of polymictic lakes in a warmer world and provides broad-scale predictions of the effects of climate change on the thermal structure of the majority of global freshwater lakes.
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video

Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods for monocular reconstruction have been proposed, yielding visually pleasant 3D anatomical structures by retrieving relative camera poses with structure-from-motion-type algorithms and fusion of monocular depth estimates. However, due to the complex properties of the underlying algorithms and endoscopic scenes, the reconstruction pipeline may perform poorly or fail unexpectedly. Further, acquiring medical data conveys additional challenges, presenting difficulties in quantitatively benchmarking these models, understanding failure cases, and identifying critical components that contribute to their precision. In this work, we perform a quantitative analysis of a self-supervised approach for sinus reconstruction using endoscopic sequences paired with optical tracking and high-resolution computed tomography acquired from nine ex-vivo specimens. Our results show that the generated reconstructions are in high agreement with the anatomy, yielding an average point-to-mesh error of 0.91 mm between reconstructions and CT segmentations. However, in a point-to-point matching scenario, relevant for endoscope tracking and navigation, we found average target registration errors of 6.58 mm. We identified that pose and depth estimation inaccuracies contribute equally to this error and that locally consistent sequences with shorter trajectories generate more accurate reconstructions. These results suggest that achieving global consistency between relative camera poses and estimated depths with the anatomy is essential. In doing so, we can ensure proper synergy between all components of the pipeline for improved reconstructions that will facilitate clinical application of this innovative technology.
VOICE-ZEUS: Impersonating Zoom's E2EE-Protected Static Media and Textual Communications via Simple Voice Manipulations

The authentication ceremony plays a crucial role in verifying the identities of users before exchanging messages in end-to-end encryption (E2EE) applications, thus preventing impersonation and man-in-the-middle (MitM) attacks. Once authenticated, the subsequent communications in E2EE apps benefit from the protection provided by the authentication ceremony. However, the current implementation of the authentication ceremony in the Zoom application introduces a potential vulnerability that can make it highly susceptible to impersonation attacks. The existence of this vulnerability may undermine the integrity of E2EE, posing a potential security risk when E2EE becomes a mandatory feature in the Zoom application. In this paper, we examine and evaluate this vulnerability in two attack scenarios, one where the attacker is a malicious participant and another where the attacker is a malicious Zoom server with control over Zoom's server infrastructure and cloud providers. Our study aims to comprehensively examine the Zoom authentication ceremony, with a specific focus on the potential for impersonation attacks in static media and textual communications. We simulate a new session injection attack on Zoom E2EE meetings to evaluate the system's susceptibility to simple voice manipulations. Our simulation experiments show that Zoom's authentication ceremony is vulnerable to a simple voice manipulation, called a VOICE-ZEUS attack, by malicious participants and the malicious Zoom server. In this VOICE-ZEUS attack, an attacker creates a fingerprint in a victim's voice by reordering previously recorded digits spoken by the victim. We show how an attacker can record and reorder snippets of digits to generate a new security code that compromises a future Zoom meeting. We conclude that stronger security measures are necessary during the group authentication ceremony in Zoom to prevent impersonation attacks.
SpEL: Structured Prediction for Entity Linking

Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source. We revisit the use of structured prediction for entity linking which classifies each individual input token as an entity, and aggregates the token predictions. Our system, called SpEL (Structured prediction for Entity Linking) is a state-of-the-art entity linking system that uses some new ideas to apply structured prediction to the task of entity linking including: two refined fine-tuning steps; a context sensitive prediction aggregation strategy; reduction of the size of the model's output vocabulary, and; we address a common problem in entity-linking systems where there is a training vs. inference tokenization mismatch. Our experiments show that we can outperform the state-of-the-art on the commonly used AIDA benchmark dataset for entity linking to Wikipedia. Our method is also very compute efficient in terms of number of parameters and speed of inference.
Random Flows of Covariance Operators and their Statistical Inference

We develop a statistical framework for conducting inference on collections of time-varying covariance operators (covariance flows) over a general, possibly infinite dimensional, Hilbert space. We model the intrinsically non-linear structure of covariances by means of the Bures-Wasserstein metric geometry. We make use of the Riemmanian-like structure induced by this metric to define a notion of mean and covariance of a random flow, and develop an associated Karhunen-Lo\`eve expansion. We then treat the problem of estimation and construction of functional principal components from a finite collection of covariance flows. Our theoretical results are motivated by modern problems in functional data analysis, where one observes operator-valued random processes -- for instance when analysing dynamic functional connectivity and fMRI data, or when analysing multiple functional time series in the frequency domain. {Nevertheless, our framework is also novel in the finite-dimensions (matrix case), and we demonstrate what simplifications can be afforded then}. We illustrate our methodology by means of simulations and a data analyses.