Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)

(1) Background: angiogenesis plays an important role in the growth and metastasis of tumors. We established the CAM assay application, an image analysis software of the IKOSA platform by KML Vision, for the quantification of blood vessels with the in ovo chorioallantoic membrane (CAM) model. We added this proprietary deep learning algorithm to the already established laser speckle contrast imaging (LSCI). (2) Methods: angiosarcoma cell line tumors were grafted onto the CAM. Angiogenesis was measured at the beginning and at the end of tumor growth with both measurement methods. The CAM assay application was trained to enable the recognition of in ovo CAM vessels. Histological stains of the tissue were performed and gluconate, an anti-angiogenic substance, was applied to the tumors. (3) Results: the angiosarcoma cells formed tumors on the CAM that appeared to stay vital and proliferated. An increase in perfusion was observed using both methods. The CAM assay application was successfully established in the in ovo CAM model and anti-angiogenic effects of gluconate were observed. (4) Conclusions: the CAM assay application appears to be a useful method for the quantification of angiogenesis in the CAM model and gluconate could be a potential treatment of angiosarcomas. Both aspects should be evaluated in further research.
An overview of the fossil turtles from Sardinia (Italy)

ABSTRACT We review in detail the published fossil record of turtles from Sardinia and, in addition, we document previously undescribed specimens for the first time. Among these undescribed specimens, is the oldest occurrence of Testudo hermanni on the island, from the Early Pleistocene of Monte Tuttavista. The turtle fossil record in Sardinia goes back to the Eocene and comprises 18 different taxa, pertaining to 6 lineages: Podocnemididae, Cheloniidae, Emydidae, Geoemydidae, Testudinidae, and Trionychidae. Remarkable is the occurrence of Eocene pleurodires, whose presence is in agreement with the Oligo-Miocene rifting of the Corso-Sardinian block. Interestingly, the fossil record provides evidence for the presence in the island of both Testudo hermanni and Emys orbicularis during the Pleistocene although according to molecular data the extant populations of these two taxa were introduced in recent times. Finally, a large ungual phalanx from the Middle–Late Pleistocene Monte San Giovanni bone breccia testifies the occurrence of a giant tortoise in the Quaternary terrestrial ecosystem of Sardinia.
Combined Antibody Tagged HRP Gold Nanoparticle Probe for Effective PCV2 Screening in Pig Farms

Introduction Porcine circovirus type 2 (PCV2) causes immune repression and intercurrent infections in pigs, resulting in a huge economic loss to the pig breeding industry. Additionally, the spread of PCV2 in pig farms can pollute the living environment of the residents in the farm’s vicinity, which increases the rate of infections. Therefore, rapid and sensitive detection methods are needed for disease prevention and timely environmental cleaning. Methods This research describes a highly sensitive sandwich enzyme-linked immunosorbent assay (ELISA) that utilizes gold nanoparticles (AuNPs) in a functional, specific antibody labeled probe for the detection of PCV2. Due to their high specific surface area and histocompatibility, AuNPs were used as carriers of HRP labeled anti-PCV2 antibodies to amplify the detection signal. Results Compared to conventional sandwich ELISA procedures, this method resulted in higher sensitivity (51-fold) and a shorter assay time with a limit of detection of 195 TCID50/mL. The cross-reactivity assay demonstrated that this assay was PCV2 specific. Conclusion The amplified Ab (HRP) labeled AuNPs probe provides a sensitive analytical approach for the determination of the traces of the PCV2 antigen in early diagnosis.
Influence of Cell Type in In Vitro Induced Reprogramming in Cattle

Induced pluripotent stem cells (iPSCs) have been considered an essential tool in stem cell research due to their potential to develop new therapies and technologies and answer essential questions about mammalian early development. An important step in generating iPSCs is selecting their precursor cell type, influencing the reprogramming efficiency and maintenance in culture. In this study, we aim to characterize bovine mesenchymal cells from adipose tissue (bAdMSCs) and fetal fibroblasts (bFFs) and to compare the reprogramming efficiency of these cells when induced to pluripotency. The cells were characterized by immunostaining (CD90, SSEA1, SSEA3, and SSEA4), induced differentiation in vitro, proliferation rates, and were subjected to cell reprogramming using the murine OSKM transcription factors. The bFFs presented morphological changes resembling pluripotent cells after reprogramming and culture with different supplementation, and putative iPSCs were characterized by immunostaining (OCT4, SOX2, NANOG, and AP). In the present study, we demonstrated that cell line origin and cellular proliferation rate are determining factors for reprogramming cells into pluripotency. The generation of biPSCs is a valuable tool to improve both translational medicine and animal production and to study the different supplements required to maintain the pluripotency of bovine cells in vitro.
Malware Analysis in IoT & Android Systems with Defensive Mechanism

The Internet of Things (IoT) and the Android operating system have made cutting-edge technology accessible to the general public. These are affordable, easy-to-use, and open-source technology. Android devices connect to different IoT devices such as IoT-enabled cameras, Alexa powered by Amazon, and various other sensors. Due to the escalated growth of Android devices, users are facing cybercrime through their Android devices. This article aims to provide a comprehensive study of the IoT and Android systems. This article classifies different attacks on IoT and Android devices and mitigation strategies proposed by different researchers. The article emphasizes the role of the developer in secure application design. This article attempts to provide a relative analysis of several malware detection methods in the different environments of attacks. This study expands the awareness of certain application-hardening strategies applicable to IoT devices and Android applications and devices. This study will help domain experts and researchers to gain knowledge of IoT systems and Android systems from a security point of view and provide insight into how to design more efficient, robust, and comprehensive solutions. This article discusses different attack vectors and mitigation strategies available to both developers and in the open domain. Certain guidelines are also suggested for application and platform developers, as well as application databases (Google play store), to limit the risk of attack, and users can form their own defense with knowledge regarding keeping hardware and software updated and securing their system with a strong password.
Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

Energy harvesting (EH), as an enabling technology of energy derivation from ambient sources, has attracted much research attention in wireless sensor network (WSN) context. The magnetic energy harvester (MEH) introduces ambient energy harvesters’ most promising technological development. This paper presents a review and analysis of MEH applications in WSN like vehicular systems and technologies. The successful approaches are introduced and classified based on technical characteristics and working principles. The fundamentals of their operation are discussed in detail, and the power points of each method are reviewed. To select the optimal energy harvester, in this work a case study is provided for feeding navigational sensors mounted on a rotating wheel of vehicles. Finally, the performance of the developed MEH model is evaluated and discussed for harvesting energy at the rotating wheels of a ground vehicle. To offer electromagnetic field analysis of the studied MEH, the simulations are performed in Ansys Maxwell software for further harvested power evaluation.
Initial Property Offering: Underpricing and Learning Behavior in the Presale Housing Market

: Utilizing a transaction-level dataset of presale private properties in Singapore over 20 years (2000-2020), this paper investigates the property price dynamics following a project launch. We show that for a newly launched residential project, presale prices increase by approximately 1% every 100 days from the launch date, indicating an IPO underpricing price pattern. By matching transaction data with developer information, we demonstrate that developers tend to underprice their first two presale projects, and then adjust pricing strategies in subsequent projects by learning from experience and adjacent peers. Our study discloses developers’ underpricing and learning behavior in the presale housing market.
A universal finitely presented torsion-free group

We give a uniform construction that, on input of a recursive presentation $P$ of a group, outputs a recursive presentation $P^{\tf}$ of a torsion-free group, isomorphic to $P$ whenever $P$ is itself torsion-free. We use this to form a universal finitely presented torsion-free group; one into which all finitely presented torsion-free groups embed. We apply our techniques to extend a result by Lempp that recognising torsion-freeness of finitely presented groups is $\Pi^{0}_{2}$-complete; we show that recognising embeddability of finitely presented groups is $\Pi^{0}_{2}$-hard, $\Sigma^{0}_{2}$-hard, and lies in $\Sigma^{0}_{3}$. We also show that the sets of orders of torsion elements of finitely presented groups are precisely the $\Sigma^{0}_{2}$ sets which are factor-complete (i.e. closed under taking factors); by a simple numbering trick any $\Sigma^{0}_{2}$ set is thus one-one equivalent to the set of orders of torsion elements of a finitely presented group.
The complete chloroplast genome of Gynura japonica and its phylogenetic implications

Abstract Gynura japonica (Asteraceae) is a folk herbal medicine with multi-pharmacological functions involving analgesic, hemostatic and antiangiogenic activities. The study was conducted to assemble the complete chloroplast (cp) genome of G. japonica through a genome-skimming approach. The assembled cp genome was 151,023 bp in size, with 62.8% AT content, consisting of a large single copy (LSC) of 83,185 bp, two copies of inverted repeat (IRa and IRb) of 24,847 bp, and a small single copy (SSC) of 18,144 bp. The cp genome of G. japonica contained 133 genes, including eight ribosomal RNA genes (rRNAs), 37 transfer RNA genes (tRNAs), 86 protein-coding genes (PCGs), and two pseudogenes (ψycf1 and ψrps19). Our phylogenomic analysis based on whole plastid genomes strongly supports G. japonica is a sister to the clade including Crassocephalum crepidioides and Jacobaea vulgaris.
Two new species of Calonectria (Hypocreales, Nectriaceae) causing Eucalyptus leaf blight in Brazil

﻿Abstract In recent decades, commercial Eucalyptus plantations have expanded toward the warm and humid regions of northern and northeastern Brazil, where Calonectria leaf blight (CLB) has become the primary fungal leaf disease of this crop. CLB can be caused by different Calonectria species, and previous studies have indicated that Calonectria might have high species diversity in Brazil. During a disease survey conducted in three commercial plantations of Eucalyptus in northeastern Brazil, diseased leaves from Eucalyptus trees with typical symptoms of CLB were collected, and Calonectria fungi were isolated. Based on phylogenetic analyses of six gene regions (act, cmdA, his3, rpb2, tef1, and tub2) and morphological characteristics, two new species of Calonectria were identified. Five isolates were named as C.paragominensissp. nov. and four were named as C.imperatasp. nov. The pathogenicity to Eucalyptus of both species was confirmed by fulfilling the Koch’s postulates.
Cyrcadian Rhythm, Mood, and Temporal Patterns of Eating Chocolate: A Scoping Review of Physiology, Findings, and Future Directions

This paper discusses the effect of chrononutrition on the regulation of circadian rhythms; in particular, that of chocolate on the resynchronization of the human internal biological central and peripheral clocks with the main external synchronizers, light–dark cycle and nutrition-fasting cycle. The desynchronization of internal clocks with external synchronizers, which is so frequent in our modern society due to the tight rhythms imposed by work, social life, and technology, has a negative impact on our psycho-physical performance, well-being, and health. Taking small amounts of chocolate, in the morning at breakfast at the onset of the active phase, helps speed up resynchronization time. The high flavonoid contents in chocolate promote cardioprotection, metabolic regulation, neuroprotection, and neuromodulation with direct actions on brain function, neurogenesis, angiogenesis, and mood. Although the mechanisms of action of chocolate compounds on brain function and mood as well as on the regulation of circadian rhythms have yet to be fully understood, data from the literature currently available seem to agree in suggesting that chocolate intake, in compliance with chrononutrition, could be a strategy to reduce the negative effects of desynchronization. This strategy appears to be easily implemented in different age groups to improve work ability and daily life.
Evaluation of medication adherence and its relevant factors among hypertensive patients: A cross-sectional study in Shahrekord health-care system

BACKGROUND: Medication adherence means compliance with patient adherence to medication orders, including timely and correct consumption of medication prescribed by a physician. The present study aimed to determine the extent of adherence to hypertension drug medication in patients covered by comprehensive health service centers of Shahrekord, Iran. MATERIALS AND METHODS: A cross-sectional study examined 401 hypertensive patients registered in the Integrated Health Record System (SIB). SIB is a Persian term related to Health Record System. To collect data, Morisky Medication Adherence Scale was used. The questionnaire was completed by the patients and analyzed using SPSS (SPSS Inc., Chicago, Illinois, USA, version 26), Chi-square test, independent t-test, and analysis of variance. RESULTS: The results indicated that adherence to antihypertensive medication was low in 5.7% of patients, while 63.3% of patients had sufficient compliance. Forgetting to take medications (52.9%) was the most common reason for nonadherence to medication in hypertensive patients. CONCLUSION: Given that forgetting to take medications was the main reason for nonadherence to medication in hypertensive patients, designing and implementing necessary trainings by comprehensive health centers to realize the importance of daily use of medication by hypertensive patients and their families are recommended.
Growing Networks – Modelling the Growth of Word Association Networks for Hungarian and English

In the new era of information and communication technology, the representation of information is of increasing importance. Knowing how words are connected to each other in the mind and what processes facilitate the creation of connections could result in better optimized applications, e.g. in computer aided education or in search engines. This paper models the growth process of a word association database with an algorithm. We present the network structure of word associations for an agglutinative language and compare it with the network of English word associations. Using the real-world data so obtained, we create a model that reproduces the main features of the observed growth process and show the evolution of the network. The model describes the growth of the word association data as a mixture of a topic based process and a random process. The model makes it possible to gain insight into the overall processes which are responsible for creating an interconnected mental lexicon.
Biocompatibility of titanium from the viewpoint of its surface

ABSTRACT Among metals, Ti and majority of its alloys exhibit excellent biocompatibility or tissue compatibility. Although their high corrosion resistance is a factor in the biocompatibility of Ti and Ti alloys, it is clear that other factors exist. In this review, the corrosion resistance and passive film of Ti are compared to those of other metallic biomaterials, and their band gap energies, Egs, are compared to discuss the role of Eg in the reactivity with living tissues. From the perspective of the material’s surface, it is possible to explain the excellent biocompatibility of Ti by considering the following factors: Ti ions are immediately stabilized not to show toxicity if it is released to body fluids; good balance of positive and negative charges by the dissociation of surface hydroxyl groups on the passive film; low electrostatic force of the passive film inducing a natural adsorption of proteins maintaining their natural conformation; strong property as n-type semiconductor; lower band gap energy of the passive film on Ti generating optimal reactivity; and calcium phosphate formation is caused by this reactivity. The results suggest that due to the passive oxide film, the optimal balance between high corrosion resistance and appropriate reactivity of Ti is the predominate solution for the excellent biocompatibility of Ti. Graphical abstract
Water Deficit Timing Differentially Affects Physiological Responses of Grapevines Infected with Lasiodiplodia theobromae

Diseases and climate change are major factors limiting grape productivity and fruit marketability. Lasiodiplodia theobromae is a fungus of the family Botryosphaeriaceae that causes Botryosphaeria dieback of grapevine worldwide. Abiotic stress may change host vitality and impact susceptibility to the pathogen and/or change the pathogen’s life cycle. However, the interaction between both stress drivers is poorly understood for woody plants. We addressed the hypothesis that distinct morpho-physiological and biochemical responses are induced in grapevine (Vitis vinifera)–L. theobromae interactions depending on when water deficits are imposed. Grapevines were submitted to water deficit either before or after fungus inoculation. Water deficit led to the reduction of the net photosynthetic rate, stomatal conductance, and transpiration rate, and increased the abscisic acid concentration regardless of fungal inoculation. L. theobromae inoculation before water deficit reduced plant survival by 50% and resulted in the accumulation of jasmonic acid and reductions in malondialdehyde levels. Conversely, grapevines inoculated after water deficit showed an increase in proline and malondialdehyde content and all plants survived. Overall, grapevines responded differently to the primary stress encountered, with consequences in their physiological responses. This study reinforces the importance of exploring the complex water deficit timing × disease interaction and the underlying physiological responses involved in grapevine performance.
Comparison of Cerebral Cortex Transcriptome Profiles in Ischemic Stroke and Alzheimer’s Disease Models

Ischemic stroke and Alzheimer’s disease (AD) are representative geriatric diseases with a rapidly increasing prevalence worldwide. Recent studies have reported an association between ischemic stroke neuropathology and AD neuropathology. Ischemic stroke shares some similar characteristics with AD, such as glia activation-induced neuroinflammation, amyloid beta accumulation, and neuronal cell loss, as well as some common risk factors with AD progression. Although there are considerable similarities in neuropathology between ischemic stroke and AD, no studies have ever compared specific genetic changes of brain cortex between ischemic stroke and AD. Therefore, in this study, I compared the cerebral cortex transcriptome profile of 5xFAD mice, an AD mouse model, with those of middle cerebral artery occlusion (MCAO) mice, an ischemic stroke mouse model. The data showed that the expression of many genes with important functional implications in MCAO mouse brain cortex were related to synaptic dysfunction and neuronal cell death in 5xFAD mouse model. In addition, changes in various protein-coding RNAs involved in synaptic plasticity, amyloid beta accumulation, neurogenesis, neuronal differentiation, glial activation, inflammation and neurite outgrowth were observed. The findings could serve as an important basis for further studies to elucidate the pathophysiology of AD in patients with ischemic stroke.
Fixed-Time Disturbance Observer-Based Control for Quadcopter Suspension Transportation System

By considering the under-actuated characteristics of the quadcopter suspension transportation system and the external disturbance, the effective tracking control of the quadrotor transportation system faces great difficulties and challenges. An adaptive hierarchical sliding mode control (HSMC) scheme based on fixed-time sliding mode disturbance observer (FTSMDO) is developed for the anti-disturbance tracking control of under-actuated quadcopter suspension transportation system (UQSTS). The HSMC is used to deal with the under-actuated characteristics of the UQSTS, and the external disturbance is estimated by designing the FTSMDO. Synchronously, the disturbance estimation error is processed by designing the adaptive law. The stability analysis based on Lyapunov is applied to verify the uniform ultimate boundedness of the closed-loop system. Finally, the comparison of physical experiment upshots shows the effectiveness and potential of the proposed new control techniques.
Selenocysteine Machinery Primarily Supports TXNRD1 and GPX4 Functions and Together They Are Functionally Linked with SCD and PRDX6

The human genome has 25 genes coding for selenocysteine (Sec)-containing proteins, whose synthesis is supported by specialized Sec machinery proteins. Here, we carried out an analysis of the co-essentiality network to identify functional partners of selenoproteins and Sec machinery. One outstanding cluster included all seven known Sec machinery proteins and two critical selenoproteins, GPX4 and TXNRD1. Additionally, these nine genes were further positively associated with PRDX6 and negatively with SCD, linking the latter two genes to the essential role of selenium. We analyzed the essentiality scores of gene knockouts in this cluster across one thousand cancer cell lines and found that Sec metabolism genes are strongly selective for a subset of primary tissues, suggesting that certain cancer cell lineages are particularly dependent on selenium. A separate outstanding cluster included selenophosphate synthetase SEPHS1, which was linked to a group of transcription factors, whereas the remaining selenoproteins were linked neither to these clusters nor among themselves. The data suggest that key components of Sec machinery have already been identified and that their primary role is to support the functions of GPX4 and TXNRD1, with further functional links to PRDX6 and SCD.