Miracle-dz/UniFAR-FTUs huggingface dataset:
Technostress in a hostile world: older internet users before and during the COVID-19 pandemic

Abstract Objective Older adults are largely ignored in studies of technostress (stress induced by Information and Communication Technology (ICT) use). This study aimed at exploring individual and contextual antecedents to technostress among older ICT users. Methods Online surveys with ICT users aged 60 years and above were conducted in 2016 (N = 537) and during the COVID-19 pandemic of 2020 (N = 407), examining technostress level, internet use patterns and sociodemographic background. The 2020 survey also assessed a COVID-19-related Hostile World Scenario (HWS). Results The two samples had very similar background characteristics, but participants in 2020 were more experienced and their internet use was significantly more diverse and intense than that of their predecessors. The factors predicting technostress in both samples were poorer health, fewer years of use, fewer hours of use per typical week and smaller use repertoire. The technostress level in 2020 was significantly higher than that of 2016—a finding explained by the COVID-19-related HWS. Conclusions Individual antecedents hardly vary in the presence of significant contextual antecedents, but HWS may leave users with fewer resources to cope with the negative effects of technology use. Future research should explore additional contextual factors and interventions that may alleviate technostress among seniors.
Protein-membrane interactions in small GTPase signalling and pharmacology: perspectives from Arf GTPases studies.

Small GTPases, in association with their GEFs, GAPs and effectors, control major intracellular processes such as signal transduction, cytoskeletal dynamics and membrane trafficking. Accordingly, dysfunctions in their biochemical properties are associated with many diseases, including cancers, diabetes, infections, mental disorders and cardiac diseases, which makes them attractive targets for therapies. However, small GTPases signalling modules are not well-suited for classical inhibition strategies due to their mode of action that combines protein-protein and protein-membrane interactions. As a consequence, there is still no validated drug available on the market that target small GTPases, whether directly or through their regulators. Alternative inhibitory strategies are thus highly needed. Here we review recent studies that highlight the unique modalities of the interaction of small GTPases and their GEFs at the periphery of membranes, and discuss how they can be harnessed in drug discovery.
Modifiable Factors Associated With Chronic Pain 1 Year After Operative Management of Distal Radius Fractures

Key Points Question What are modifiable preoperative factors associated with developing chronic pain after distal radius fracture surgery? Findings In this secondary analysis of a randomized clinical trial with 146 participants, each 10-point increase in preoperative pain score was associated with 17% increased odds of chronic pain, and a 1-week delay in surgical intervention was associated with more than triple the odds of experiencing chronic pain. Internal fixation was associated with decreased risk of chronic pain compared with external fixation or pinning. Meaning In this study, earlier time to surgery, adequate preoperative pain control, and internal fixation were associated with lower risk of chronic pain development among patients with distal radius fracture who were treated surgically.
Post-translational modification analysis of Saccharomyces cerevisiae histone methylation enzymes reveals phosphorylation sites of regulatory potential

Histone methylation is central to the regulation of eukaryotic transcription. In Saccharomyces cerevisiae, it is controlled by a system of four methyltransferases (Set1p, Set2p, Set5p, and Dot1p) and four demethylases (Jhd1p, Jhd2p, Rph1p, and Gis1p). While the histone targets for these enzymes are well characterized, the connection of the enzymes with the intracellular signaling network and thus their regulation is poorly understood; this also applies to all other eukaryotes. Here we report the detailed characterization of the eight S. cerevisiae enzymes and show that they carry a total of 75 phosphorylation sites, 92 acetylation sites, and two ubiquitination sites. All enzymes are subject to phosphorylation, although demethylases Jhd1p and Jhd2p contained one and five sites respectively, whereas other enzymes carried 14 to 36 sites. Phosphorylation was absent or underrepresented on catalytic and other domains but strongly enriched for regions of disorder on methyltransferases, suggesting a role in the modulation of protein–protein interactions. Through mutagenesis studies, we show that phosphosites within the acidic and disordered N-terminus of Set2p affect H3K36 methylation levels in vivo, illustrating the functional importance of such sites. While most kinases upstream of the yeast histone methylation enzymes remain unknown, we model the possible connections between the cellular signaling network and the histone-based gene regulatory system and propose an integrated regulatory structure. Our results provide a foundation for future, detailed exploration of the role of specific kinases and phosphosites in the regulation of histone methylation.
Microwave-Assisted Synthesis and Characterization of Poly(2-(dimethylamino)ethyl methacrylate) Grafted Gellan Gum

Poly(2-(dimethylamino)ethylmethacrylate) was grafted on gellan gum (GG) in aqueous medium under microwave irradiation using ammonium persulfate and N,N,N′N′-tetramethylethylenediamine as the initiation system. Grafted copolymers were characterized by FT-IR, TGA, and SEM techniques. The influence of microwave power, exposure time, and composition of the reaction mixture on extent of grafting was studied. Conditions for obtaining the highest degree of grafting were optimized. The rate of grafting was determined from weight measurements. The overall activation energy for grafting is found to be 31.2 kJ/mol, indicating the occurrence of the grafting process with absorption of low thermal energy.
On‐Line Preconcentration and Analysis of Zinc in Water by Flow Injection‐Knotted Reactor: Application to Geological and Environmental Exploration

Abstract A preconcentration on‐line system composed of flow injection (FI) and a knotted reactor (KR), associated with inductively coupled plasma atomic emission spectrometry (ICP‐AES) has been used to determine Zn concentrations in river water. The zinc was retained as Zn‐2(5‐bromo‐2‐pyridilazo)5‐diethylaminofenol precipitated complex on the knotted reactor (KR). The limit of detection (0.09 µg L−1 of Zn) of this method makes it particularly suitable for hydrochemical exploration in geological and environmental projects. This application has been validated in the volcanogenic gold (copper, zinc, lead) deposit of La Carolina in the province of San Luis, Argentina. The Carolina Stream and the Grande River have been sampled for water downstream this deposit. The regional background in river water is 2 µg L−1. Six times this concentration has been observed at more than 6.5 km from the source, La Carolina mine.
Progress in the development of stabilization strategies for nanocrystal preparations

Abstract In recent years, nanocrystal technology has been extensively investigated. Due to the submicron particle size and unique physicochemical properties of nanocrystals, they overcome the problems of low drug solubility and poor bioavailability. Although the structures of nanocrystals are simple, the further development of these materials is hindered by their stability. Drug nanocrystals with particle sizes of 1∼1000 nm usually require the addition of stabilizers such as polymers or surfactants to enhance their stability. The stability of nanocrystal suspensions and the redispersibility of solid nanocrystal drugs are the key factors for the large-scale production of nanocrystal preparations. In this paper, the factors that affect the stability of drug nanocrystal preparations are discussed, and related methods for solving the stability problem are put forward.
Mortality of Older Patients Admitted to an ICU: A Systematic Review.

OBJECTIVES To conduct a systematic review of mortality and factors independently associated with mortality in older patients admitted to ICU. DATA SOURCES MEDLINE via PubMed, EMBASE, the Cochrane Library, and references of included studies. STUDY SELECTION Two reviewers independently selected studies conducted after 2000 evaluating mortality of older patients (≥ 75 yr old) admitted to ICU. DATA EXTRACTION General characteristics, mortality rate, and factors independently associated with mortality were extracted independently by two reviewers. Disagreements were solved by discussion within the study team. DATA SYNTHESIS Because of expected heterogeneity, no meta-analysis was performed. We selected 129 studies (median year of publication, 2015; interquartile range, 2012-2017) including 17 based on a national registry. Most were conducted in Europe and North America. The median number of included patients was 278 (interquartile range, 124-1,068). ICU and in-hospital mortality were most frequently reported with considerable heterogeneity observed across studies that was not explained by study design or location. ICU mortality ranged from 1% to 51%, in-hospital mortality from 10% to 76%, 6-month mortality from 21% to 58%, and 1-year mortality from 33% to 72%. Factors addressed in multivariate analyses were also heterogeneous across studies. Severity score, diagnosis at admission, and use of mechanical ventilation were the independent factors most frequently associated with ICU mortality, whereas age, comorbidities, functional status, and severity score at admission were the independent factors most frequently associated with 3- 6 and 12 months mortality. CONCLUSIONS In this systematic review of older patients admitted to intensive care, we have documented substantial variation in short- and long-term mortality as well as in prognostic factors evaluated. To better understand this variation, we need consistent, high-quality data on pre-ICU conditions, ICU physiology and treatments, structure and system factors, and post-ICU trajectories. These data could inform geriatric care bundles as well as a core data set of prognostic factors to inform patient-centered decision-making.
Seat pitch and comfort of a staggered seat configuration

BACKGROUND: Staggered seats are a solution for the Flying-V aircraft, where the cabin’s longitudinal axis has a 26 degrees angle with respect to the direction of flight, to compensate for an otherwise oblique sitting position. However, little is known on acceptable pitches in this staggered configuration. OBJECTIVE: The goal of this research is to evaluate the comfort of different pitches for seats that are staggered relative to the cabin’s longitudinal axis. METHODS: Two rows of staggered seats are positioned at three different pitches (27, 29 and 31 inches). 53 participants were seated in each setup. For each, a questionnaire was completed including questions on comfort and discomfort, top view photos were taken to analyse postures and physical dimensions were recorded to define passengers’ space. RESULTS: Comfort as well as discomfort were significantly different for the three setups. The comfort at 27 inches was seen as unacceptably low. The 29 and 31-inch configurations showed to result in acceptable levels of comfort, comparable to higher-end seating layouts. There were very little complaints about space in lateral direction (elbow and seat width), showing the advantage of having your won armrest and shoulder space in the staggered configuration. Interesting was that at larger pitches more complaints were found for the seat characteristics, probably in the shorter pitch the other discomfort was overruling this. CONCLUSION: The 26-degree staggered configuration offers improvements in shoulder- and elbow-space. The results for the 29- and 31-inch are expected to allow enough design freedom for further exploration of such a configuration for the Flying-V cabin interior.
A 3‐dimensional study of δ18O in atmospheric CO2: contribution of different land ecosystems

Land biospheric carbon exchange associated with respiration and photosynthesis exerts a major control on the oxygen isotope composition (δ 18 O) of atmospheric CO 2 especially with respect to the seasonal cycle. In particular, an important feature that requires our attention is the phase of the seasonal cycle of δ 18 O which lags CO 2 by one month in the Arctic. We have developed a global parameterization of the land biotic exchange of 180 in CO 2 , which has been prescribed in an atmospheric 3-D transport model in order to simulate the global atmospheric distribution of δ 18 O. Furthermore, we have separated in the model the specific contribution of different regions of the globe to the seasonal and latitudinal variation of δ 18 O. The model simulated values are compared in detail with atmospheric observations made at 22 different remote stations. The respective role of respiration vs. photosynthesis in determining the phase and amplitude of the δ 18 O seasonal cycle is also analysed. Based on a good agreement between our model simulation and the atmospheric observations, we observe that the large seasonal cycle of δ 18 O at high latitudes is mainly due to the respiratory fluxes of all extra-tropical ecosystems while for CO 2 the relative contributions of photosynthesis and respiration to the overall seasonal cycle are similar. Geographically, the CO 2 exchanges with the northern Siberian ecosystem dominate the δ 18 O seasonality at all remote stations of the northern hemisphere, reflecting the strongly continental climate of that region. OI: 10.1034/j.1600-0889.1999. t01-2-00006.x
Detection of Adulterated Shiikuwasha Juice by Sensory Evaluation, Colorimetric Value and Volatile Components

Sensory characteristics, colorimetric value and volatile components of shiikuwasha (Citrus depressa Hayata) juice and adulterated model juice using calamondin (Citrus madurensis LOUR.) juice were investigated. (1) A triangle test detected adulterated model juice ranging from 0% to 50%. The results of Scheffé’s paired comparison test (Ura variation) suggested that the color and flavor of juice were used to differentiate the shiikuwasha juice from the adulterated model juices. (2) Color parameters (L*, a* and b*) were detected by a tristimulus reflectance colorimeter, and significant color differences (p < 0.05) were observed between shiikuwasha juice and other model juices. The results of (1) and (2) suggested consumers are able to identify pure shiikuwasha juice personally. (3) Volatile components were measured and identified by GC/MS; γ-terpinene and linalool were new and useful chemical markers for detecting small amounts of shiikuwasha juice mixed with calamondin juice.
Exploring the “anchor word” effect in infants: Segmentation and categorisation of speech with and without high frequency words

High frequency words play a key role in language acquisition, with recent work suggesting they may serve both speech segmentation and lexical categorisation. However, it is not yet known whether infants can detect novel high frequency words in continuous speech, nor whether they can use them to help learning for segmentation and categorisation at the same time. For instance, when hearing “you eat the biscuit”, can children use the high-frequency words “you” and “the” to segment out “eat” and “biscuit”, and determine their respective lexical categories? We tested this in two experiments. In Experiment 1, we familiarised 12-month-old infants with continuous artificial speech comprising repetitions of target words, which were preceded by high-frequency marker words that distinguished the targets into two distributional categories. In Experiment 2, we repeated the task using the same language but with additional phonological cues to word and category structure. In both studies, we measured learning with head-turn preference tests of segmentation and categorisation, and compared performance against a control group that heard the artificial speech without the marker words (i.e., just the targets). There was no evidence that high frequency words helped either speech segmentation or grammatical categorisation. However, segmentation was seen to improve when the distributional information was supplemented with phonological cues (Experiment 2). In both experiments, exploratory analysis indicated that infants’ looking behaviour was related to their linguistic maturity (indexed by infants’ vocabulary scores) with infants with high versus low vocabulary scores displaying novelty and familiarity preferences, respectively. We propose that high-frequency words must reach a critical threshold of familiarity before they can be of significant benefit to learning.
Proteomic profile of bone "collagen" extracted for stable isotopes: implications for bulk and single amino acid analyses.

RATIONALE Protein studies in archaeology and paleontology have been dominated by stable isotope studies to understand diet and trophic levels, but recent applications of proteomic techniques have resulted in a more complete understanding of protein diagenesis than stable isotopes alone. In stable isotope analyses, samples are retained or discarded based on their properties. Proteomics can directly determine what proteins are present within the sample and may be able to allow previously discarded samples to be analyzed. METHODS Protein samples that had been previously analyzed for stable isotopes, including those with marginal and poor sample quality, were characterized by LC/MS using an LTQ Orbitrap Velos mass spectrometer after separation on a Dionex Ultimate 3000 LC system. Data were analyzed with MetaMorpheus and custom R scripts. RESULTS We found a variety of proteins in addition to collagen, although collagen I was the majority of the samples (most samples >80%). We also found a positive correlation between total deamidation and wt% N suggesting that deamidation may impact the overall nitrogen signal in bulk analyses. The amino acid profiles of samples, including those of marginal or poor stable isotope quality, reflect the expected collagen I percentages allowing their use in single amino acid stable isotope analyses. CONCLUSIONS All the samples regardless of quality were found to have high concentrations of collagen I, making interpretations of dietary routing based on collagen I reasonably valid. The amino acid profiles on the marginal and poor samples reflect an expected collagen I profile and allow these samples to be recovered for single amino acid analyses.
Biological and Genomic Characterization of a Novel Jumbo Bacteriophage, vB_VhaM_pir03 with Broad Host Lytic Activity against Vibrio harveyi

Vibrio harveyi is a Gram-negative marine bacterium that causes major disease outbreaks and economic losses in aquaculture. Phage therapy has been considered as a potential alternative to antibiotics however, candidate bacteriophages require comprehensive characterization for a safe and practical phage therapy. In this work, a lytic novel jumbo bacteriophage, vB_VhaM_pir03 belonging to the Myoviridae family was isolated and characterized against V. harveyi type strain DSM19623. It had broad host lytic activity against 31 antibiotic-resistant strains of V. harveyi, V. alginolyticus, V. campbellii and V. owensii. Adsorption time of vB_VhaM_pir03 was determined at 6 min while the latent-phase was at 40 min and burst-size at 75 pfu/mL. vB_VhaM_pir03 was able to lyse several host strains at multiplicity-of-infections (MOI) 0.1 to 10. The genome of vB_VhaM_pir03 consists of 286,284 base pairs with 334 predicted open reading frames (ORFs). No virulence, antibiotic resistance, integrase encoding genes and transducing potential were detected. Phylogenetic and phylogenomic analysis showed that vB_VhaM_pir03 is a novel bacteriophage displaying the highest similarity to another jumbo phage, vB_BONAISHI infecting Vibrio coralliilyticus. Experimental phage therapy trial using brine shrimp, Artemia salina infected with V. harveyi demonstrated that vB_VhaM_pir03 was able to significantly reduce mortality 24 h post infection when administered at MOI 0.1 which suggests that it can be an excellent candidate for phage therapy.
Dynamic Characteristics and Damage Detection of a Metallic Thermal Protection System Panel Using a Three-Dimensional Point Tracking Method and a Modal Assurance Criterion

A thermal protection system (TPS) is designed and fabricated to protect a hypersonic vehicle from extreme conditions. Good condition of the TPS panels is necessary for the next flight mission. A loose bolted joint is a crucial defect in a metallic TPS panel. This study introduces an experimental method to investigate the dynamic characteristics and state of health of a metallic TPS panel through an operational modal analysis (OMA). Experimental investigations were implemented under free-free supports to account for a healthy state, the insulation effect, and fastener failures. The dynamic deformations resulted from an impulse force were measured using a non-contact three-dimensional point tracking (3DPT) method. Using changes in natural frequencies, the damping ratio, and operational deflection shapes (ODSs) due to the TPS failure, we were able to detect loose bolted joints. Moreover, we also developed an in-house program based on a modal assurance criterion (MAC) to detect the state of damage of test structures. In a damage state, such as a loose bolted joint, the stiffness of the TPS panel was reduced, which resulted in changes in the natural frequency and the damping ratio. The calculated MAC values were less than one, which pointed out possible damage in the test TPS panels. Our results also demonstrated that a combination of the 3DPT-based OMA method and the MAC achieved good robustness and sufficient accuracy in damage identification for complex aerospace structures such as TPS structures.
Computational methods for annotation of plant regulatory non-coding RNAs using RNA-seq

Plant transcriptome encompasses numerous endogenous, regulatory non-coding RNAs (ncRNAs) that play a major biological role in regulating key physiological mechanisms. While studies have shown that ncRNAs are extremely diverse and ubiquitous, the functions of the vast majority of ncRNAs are still unknown. With ever-increasing ncRNAs under study, it is essential to identify, categorize and annotate these ncRNAs on a genome-wide scale. The use of high-throughput RNA sequencing (RNA-seq) technologies provides a broader picture of the non-coding component of transcriptome, enabling the comprehensive identification and annotation of all major ncRNAs across samples. However, the detection of known and emerging class of ncRNAs from RNA-seq data demands complex computational methods owing to their unique as well as similar characteristics. Here, we discuss major plant endogenous, regulatory ncRNAs in an RNA sample followed by computational strategies applied to discover each class of ncRNAs using RNA-seq. We also provide a collection of relevant software packages and databases to present a comprehensive bioinformatics toolbox for plant ncRNA researchers. We assume that the discussions in this review will provide a rationale for the discovery of all major categories of plant ncRNAs.