Miracle-dz/UniFAR-FTUs huggingface dataset:
Etching Kinetics of Nanodiamond Seeds in the Early Stages of CVD Diamond Growth

We present an experimental study on the etching of detonation nanodiamond (DND) seeds during typical microwave chemical vapor deposition (MWCVD) conditions leading to ultra-thin diamond film formation, which is fundamental for many technological applications. The temporal evolution of the surface density of seeds on the Si(100) substrate has been assessed by scanning electron microscopy (SEM). The resulting kinetics have been explained in the framework of a model based on the effect of the particle size, according to the Young–Laplace equation, on both chemical potential of carbon atoms in DND and activation energy of the reaction with atomic hydrogen. The model describes the experimental kinetics of seeds’ disappearance by assuming that nanodiamond particles with a size smaller than a “critical radius,” r*, are etched away while those greater than r* can grow. Finally, the model allows to estimate the rate coefficients for growth and etching from the experimental kinetics.
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems

Online rating system serves as an indispensable building block for many web applications. Previous studies showed that due to assimilate-contrast effects, historical ratings could significantly distort users’ ratings, leading to low accuracy of product quality estimation and recommendation. To understand assimilate-contrast effects, an “accurate” model is still missing as previous models do not capture important factors like rating recency, selection bias, etc. Furthermore, an analytical framework to characterize product estimation accuracy under assimilate-contrast effects is also missing. This paper aims to fill in this gap. We propose a probabilistic model to quantify the aforementioned important factors on assimilate-contrast effects. We apply stochastic approximation theory to show that when the rating bias satisfies mild contraction conditions, the aggregate rating converges under aggregate opinion heterogeneity. We also apply non-stationary Markov chain theory to show that when the strength of assimilate-contrast satisfies mild stable conditions, the aggregate rating converges under rating recency. We also derive an equation to characterize the converged aggregate ratings. These conditions reveal important insights on how the aforementioned factors influence the convergence and guide the online rating system operator to design appropriate rating aggregation rules and rating displaying strategies. We apply it to rating prediction tasks and product recommendation tasks. Experiment results on four public datasets show that our model can improve the rating prediction and recommendation accuracy over previous models significantly, under various metrics like RMSE, NDCG, etc. We also demonstrate the flexibility of our model by showing that it can be applied to enhance other rating behavior models.
Melanoma Cells Inhibit iNKT Cell Functions via PGE2 and IDO1

Simple Summary The unique properties of invariant natural killer T (iNKT) cells make them an attractive candidate for cancer-adoptive immunotherapy. However, despite their potential, clinical studies have not consistently shown successful outcomes. This lack of efficacy is likely attributed to the immunosuppressive nature of the tumor microenvironment. In this study, we investigated the role of melanoma cell lines in suppressing iNKT cell functions, even in the presence of their specific antigen. Additionally, we aimed to identify the key factors responsible for this immunosuppressive effect. Understanding the primary contributors to the failure of iNKT cell-based therapy is crucial for developing new treatment strategies. Abstract Invariant natural killer T (iNKT) cells are a distinct group of immune cells known for their immunoregulatory and cytotoxic activities, which are crucial in immune surveillance against tumors. They have been extensively investigated as a potential target for adoptive cell immunotherapy. Despite the initial promise of iNKT cell-based immunotherapy as a treatment for melanoma patients, its effective utilization has unfortunately yielded inconsistent outcomes. The primary cause of this failure is the immunosuppressive tumor microenvironment (TME). In this study, we specifically directed our attention towards melanoma cells, as their roles within the TME remain partially understood and require further elucidation. Methods: We conducted co-culture experiments involving melanoma cell lines and iNKT cells. Results: We demonstrated that melanoma cell lines had a significant impact on the proliferation and functions of iNKT cells. Our findings revealed that co-culture with melanoma cell lines led to a significant impairment in the expression of the NKG2D receptor and cytolytic granules in iNKT cells. Moreover, we observed a strong impairment of their cytotoxic capability induced by the presence of melanoma cells. Furthermore, through the use of selective inhibitors targeting IDO1 and COX-2, we successfully demonstrated that the melanoma cell line’s ability to impair iNKT cell activation and functions was attributed to the up-regulation of IDO1 expression and PGE2 production.
Motile Aeromonads as a Nile Tilapia Bacterial Infection: A Review on Prevalence, Molecular Characterization, Effect on Immune Response and Alternatives Control Measures

Nile tilapia ( Oreochromis niloticus ) constitutes the maximum essential and financial fish species in Egypt representing 71.38 % of overall cultured fish in Africa and 1.54 % of overall cultured fish everywhere in the world. They compromise many vital amino acids, vitamins, poly saturated fatty acids, omega-3, vital minerals in addition to quantities of hint elements. Egypt is the third biggest tilapia generating country after China and Indonesia. The maximum crucial governorates in Egypt that produce 80 % of the farmed tilapia in Egypt are Kafr-Elsheikh, Behira and Sharkia. Aeromonas infection in fish causes world economic problems because of the high number of fish mortalities particularly in China and India . Aeromonas hydrophila ( A. hydrophila ) is one of the most important agents of the outbreaks in fresh water fish, in which skinulcers, hemorrhage and necrosis of the visceral organs are the major symptoms. Synonyms are bacterial hemorrhagic septicemia, septicemia, or pest. The application of medicinal plantsin aquaculture has been a new approach. The adequate use of antibiotics and other chemotherapeutics in fish culture criticized because of the potential improvement of antibiotic-resistant bacteria, environmental pollution and the accumulation of residues in fish tissue. Based on current information about the ecology, pathogenicity and epidemiology, of the Genus Aeromonas, we should assume that infection with aeromonad will remain a great health problem in the future. The ubiquitous distribution of Aeromonas infection and the increasing elderly population, to whom these bacteria are an opportunistic pathogen, will facilitate this problem.
Technology-facilitated abuse of young adults in the United States: A latent class analysis

Awareness of the growing potential for technology-facilitated abuse (TFA) raises questions about the prevalence of the problem overall and in various forms. The current study fielded a newly developed comprehensive measure of 27 different forms of TFA in a nationally representative sample of US adults ages 18–35. Item response theory analytic techniques were applied to identify items that captured the range of young adult experiences, resulting in a 17-item version of the Cyber-Abuse Research Initiative (CARI) scale. Latent class analyses were applied to identify person-centered profiles of TFA victimization. Seven out of ten respondents reported TFA victimization of some or multiple forms, which LCA results indicated could be characterized as five different TFA profiles. The probability of membership in TFA victimization profiles, compared to those respondents reporting low exposure to no TFA, was greater for women, LGBQA+ young adults, and for individuals who consider themselves to have a public following. In addition to providing the flexible, comprehensive CARI scale for ongoing research, the current results may be applied towards both TFA prevention and disruption efforts.
From Knowledge Graph Embedding to Ontology Embedding: Region Based Representations of Relational Structures

Recent years have witnessed the enormous success of low-dimensional vector space representations of knowledge graphs to predict missing facts or find erroneous ones. Currently, however, it is not yet well-understood how ontological knowledge, e.g. given as a set of (existential) rules, can be embedded in a principled way. To address this shortcoming, in this paper we introduce a framework based on convex regions, which can faithfully incorporate ontological knowledge into the vector space embedding. Our technical contribution is two-fold. First, we show that some of the most popular existing embedding approaches are not capable of modelling even very simple types of rules. Second, we show that our framework can represent ontologies that are expressed using so-called quasi-chained existential rules in an exact way, such that any set of facts which is induced using that vector space embedding is logically consistent and deductively closed with respect to the input ontology.
Numerical robustness of extended Kalman filtering based state estimation in ill‐conditioned continuous‐discrete nonlinear stochastic chemical systems

This paper presents a case study investigation of numerical robustness of extended Kalman filters used for estimation of stochastic chemical systems with ill‐conditioned measurements. Here, we consider both a batch reactor model and that of a continuously stirred tank reactor. Our purpose is to explore performance of extended Kalman filtering–based state estimators when the measurement model becomes increasingly ill conditioned. In this way, we determine numerically robust methods, which are suitable for accurate estimation of stochastic chemical systems in the presence of round‐off and other disturbances. We examine both conventional filters and their square‐root forms. All these algorithms are implemented by means of the conventional matrix inversion used in their measurement update steps and the Moore‐Penrose pseudoinversion as well. Furthermore, the square‐root filters under investigation are obtained in two ways, namely, by solving square‐root moment differential equations and by square rooting the filter itself. We show that only the square‐root filters grounded in the second approach (with use of stable orthogonal decompositions) are numerically robust and provide the excellent estimation accuracy within all our ill‐conditioned stochastic chemical system scenarios considered in this paper. In addition, the convectional filters and the square‐root variants based on solving moment equations are rather sensitive to round‐off and may be useful and accurate if the chemical system at hand is rather well conditioned.
Predicting High-Frequency Stock Movement with Differential Transformer Neural Network

Predicting stock prices has long been the holy grail for providing guidance to investors. Extracting effective information from Limit Order Books (LOBs) is a key point in high-frequency trading based on stock-movement forecasting. LOBs offer many details, but at the same time, they are very noisy. This paper proposes a differential transformer neural network model, dubbed DTNN, to predict stock movement according to LOB data. The model utilizes a temporal attention-augmented bilinear layer (TABL) and a temporal convolutional network (TCN) to denoise the data. In addition, a prediction transformer module captures the dependency between time series. A differential layer is proposed and incorporated into the model to extract information from the messy and chaotic high-frequency LOB time series. This layer can identify the fine distinction between adjacent slices in the series. We evaluate the proposed model on several datasets. On the open LOB benchmark FI-2010, our model outperforms other comparative state-of-the-art methods in accuracy and F1 score. In the experiments using actual stock data, our model also shows great stock-movement forecasting capability and generalization performance.
Statins markedly potentiate aminopeptidase inhibitor activity against (drug-resistant) human acute myeloid leukemia cells

Aim: This study aimed to decipher the molecular mechanism underlying the synergistic effect of inhibitors of the mevalonate-cholesterol pathway (i.e., statins) and aminopeptidase inhibitors (APis) on APi-sensitive and -resistant acute myeloid leukemia (AML) cells. Methods: U937 cells and their sublines with low and high levels of acquired resistance to (6S)-[(R)-2-((S)-Hydroxy-hydroxycarbamoyl-methoxy-methyl)-4-methyl-pentanoylamino]-3,3 dimethyl-butyric acid cyclopentyl ester (CHR2863), an APi prodrug, served as main AML cell line models. Drug combination effects were assessed with CHR2863 and in vitro non-toxic concentrations of various statins upon cell growth inhibition, cell cycle effects, and apoptosis induction. Mechanistic studies involved analysis of Rheb prenylation required for mTOR activation. Results: A strong synergy of CHR2863 with the statins simvastatin, fluvastatin, lovastatin, and pravastatin was demonstrated in U937 cells and two CHR2863-resistant sublines. This potent synergy between simvastatin and CHR2863 was also observed with a series of other human AML cell lines (e.g., THP1, MV4-11, and KG1), but not with acute lymphocytic leukemia or multiple solid tumor cell lines. This synergistic activity was: (i) specific for APis (e.g., CHR2863 and Bestatin), rather than for other cytotoxic agents; and (ii) corroborated by enhanced induction of apoptosis and cell cycle arrest which increased the sub-G1 fraction. Consistently, statin potentiation of CHR2863 activity was abrogated by co-administration of mevalonate and/or farnesyl pyrophosphate, suggesting the involvement of protein prenylation; this was experimentally confirmed by impaired Rheb prenylation by simvastatin. Conclusion: These novel findings suggest that the combined inhibitory effect of impaired Rheb prenylation and CHR2863-dependent mTOR inhibition instigates a potent synergistic inhibition of statins and APis on human AML cells.
Effective interventions for improvement of moral sensitivity among nursing students: A systematic review

The present research was carried out to look into the optimal interventions for raising moral sensitivity in nursing students. International electronic databases like Scopus, PubMed, and Web of Science were searched systematically from the earliest date to August 2, 2022, via keywords like "Morals", "Moral sensitivity", "Ethical sensitivity", and "Nursing students". Additionally, Iranian databases like Iranmedex were looked up. Randomized control trials (RCTs) and quasi-experimental studies' quality was evaluated using the Joanna Briggs Institute's (JBI) critical assessment checklist. A total of 756 nursing students were enrolled in nine studies. Of the nursing students, 54.87% were female and 70.63% were in the intervention group. The mean age of participants was 22.83 (SD=1.31) years. Mean study duration, intervention, and follow-up were 10, 5.41, and 6.68 weeks, respectively. It was shown that “education based on the visual, auditory, kinaesthetic (VAK) model”, “the spirituality training sessions”, “case-based method of education”, “the spirituality training sessions”, “nursing codes of ethics lecture”, and “the spiritual care training sessions” were enhanced moral sensitivity. Additionally, the “professional nursing practice course”, “nursing ethics education”, and “debate-based ethics education”, did not affect the nursing students' moral sensitivity. It is recommended that university administrators and policymakers plan and implement appropriate educational initiatives with moral and spiritual content in the form of educational workshops.
A new species of the Cyrtodactylusquadrivirgatus complex (Chordata, Reptilia, Squamata, Gekkonidae) from Sumatra Barat, Indonesia

﻿Abstract Among the six species of Cyrtodactylus occurring in Sumatra, two species were described based on non-Sumatran type series, C.consobrinus and C.quadrivirgatus. The latter species was described originally from Thailand thus the wider distribution in Sumatra should be clarified taxonomically. Cyrtodactylusquadrivirgatus from Sumatra Barat was examined using both morphology and the Natrium Dehydrogenase Subunit 2 (ND2) gene to clarify its taxonomic status and phylogenetic placement. It was found that these specimens form a sister clade to all other species of the sworderi group from Peninsular Malaysia and the genetic distance ranges from 20–24.3%. This subset is herein described as a new species. The new species is readily distinguished from C.quadrivirgatus and other Sumatran species by a combination of characters: small size SVL 37.5–53.78 mm; longitudinal rows of dorsal tubercles 16–19; paravertebral tubercles 31–41; ventral scales 32–43; 24–49 enlarged precloacal and femoral scales; precloacal pores rarely present; no precloacal depression; two postcloacal tubercles on each side; 14–19 subdigital lamellae on forth toe; 9–15 supralabial scales; 9–12 infralabial scales; three or four internasal scales; and 3–6 gular scales that border the first pair of postmental scales. This work underscores the importance of clarifying widely distributed species for taxonomic validation.
Risks of unsustainable tourism deve-lopment in Vietnam

This article is intending to analyze several risks of the unsistainable development in tourism industry in Vietnam. Vietnam’s tourism sector is booming and contributing signi ficantly to the national economy. Thus, the tourism sustainable development is important for sustainable development in the national economy. The risks of tacking or loosing sustainability in tourism industry will greatly damage the whole economy of Vietnam.
Favorable Methods of Agricultural Extension for Supporting Waste Management of Wheat Product

The purpose of the study was to analyzing the favorable methods of agricultural extension for supporting waste management in Khouzestan province of Iran. The research method was correlative descriptive. The population of study was wheat farmers of Khouzestan province (N=12450). The sample size was (n=220), based on Cochran formula. A questionnaire was developed to gather information regarding favorable methods of agricultural extension for supporting waste management in wheat production. Content and face validity were established by a panel of experts. Questionnaire reliability was estimated by calculating Cronbach’s alpha. Reliability was (Cronbach's alpha=0.75), which can be regarded as sufficient. Data collected were analyzed using the Statistical Package for the Social Sciences (SPSS19). Based on the results four most important extension methods according to the wheat farmers in favorable conditions, were: 1) Emphasizing the use of tests in the field (field training) (M= 4.32, Sd= 0.47), 2) Mass education (educational films, radio and television programs, posters and leaflet) (M=4.5, Sd= 0.50), 3) Teamwork and networking to share and exchange information (M= 4.41, Sd=0.49), 4) Collaborative learning (participation and more involvement of farmers ) (M=4.16, Sd= 0.50). For analyzing causal comparative of waste management between current and favorable conditions of extension methods, Wilcoxon signed ranks were. Based on the results in each and overall items (Z=13.670, P=0.000), there were significant differences between current and favorable extension methods.
Mixing motherhood and science

When five women were made fellows of the Royal Society in 1999 – an unusually large number for a single year – only one, the physiologist Francis Ashcroft, made headlines. The media were interested in Ashcroft because she had said that it was impossible for women to combine motherhood with the highest levels of scientific achievement. The press, however, ignored the fact that three of the other new fellows had children, including Athene Donald – the first female professor of physics at the Cavendish Laboratory in Cambridge – and Janet Thornton, new director of the European Bioinformatics Institute near Cambridge.
Exploiting inter-tissue stress signaling mechanisms to preserve organismal proteostasis during aging

Aging results in a decline of cellular proteostasis capacity which culminates in the accumulation of phototoxic material, causing the onset of age-related maladies and ultimately cell death. Mechanisms that regulate proteostasis such as cellular stress response pathways sense disturbances in the proteome. They are activated to increase the expression of protein quality control components that counteract cellular damage. Utilizing invertebrate model organisms such as Caenorhabditis elegans, it has become increasingly evident that the regulation of proteostasis and the activation of cellular stress responses is not a cell autonomous process. In animals, stress responses are orchestrated by signals coming from other tissues, including the nervous system, the intestine and the germline that have a profound impact on determining the aging process. Genetic pathways discovered in C. elegans that facilitate cell nonautonomous regulation of stress responses are providing an exciting feeding ground for new interventions. In this review I will discuss cell nonautonomous proteostasis mechanisms and their impact on aging as well as ongoing research and clinical trials that can increase organismal proteostasis to lengthen health- and lifespan.
Mesonets: Mesoscale Weather and Climate Observations for the United States

AbstractMesoscale in situ meteorological observations are essential for better understanding and forecasting the weather and climate and to aid in decision-making by a myriad of stakeholder communities. They include, for example, state environmental and emergency management agencies, the commercial sector, media, agriculture, and the general public. Over the last three decades, a number of mesoscale weather and climate observation networks have become operational. These networks are known as mesonets. Most are operated by universities and receive different levels of funding. It is important to communicate the current status and critical roles the mesonets play.Most mesonets collect standard meteorological data and in many cases ancillary near-surface data within both soil and water bodies. Observations are made by a relatively spatially dense array of stations, mostly at subhourly time scales. Data are relayed via various means of communication to mesonet offices, with derived products typically distribut.
Architectural design and electrochemical performance of MOF‐based solid‐state electrolytes for high‐performance secondary batteries

Nowadays solid‐state batteries have become a hot spot in the research of batteries and a significant candidate for commercial batteries for the increasing demands for good safety and excellent energy density. Metal‐organic frameworks (MOFs) have been considered as suitable materials for solid‐state electrolytes (SSEs) for the merits of regular channels and large specific surface areas, which can provide a promising structural platform for fast‐ion conduction. Therefore, numerous kinds of MOF‐based SSEs with enhanced electrochemical performance have been successfully synthesized and studied in recent years. In this review, the recent progress (synthesis methods, physical and chemical characteristics) of MOF‐based SSEs for secondary batteries have been summarized. Finally, the challenges and opportunities faced by the future development in this field are put forward, hoping to provide some enlightenment for the synthesis of MOF‐based SSEs, so as to create more efficient, long‐lasting, and safe SSE‐based secondary batteries.