Miracle-dz/UniFAR-FTUs huggingface dataset:
Predisposition of Early Maladaptive Schemas and Postpartum Depression during COVID-19 Crisis: Mediation of Mindfulness.

BACKGROUND Past studies provide crucial evidence that pregnancy and childbirth increase the risk of emotional vulnerability and instability. Current research intends to explore the role of early maladaptive schemas and mindfulness as determinants of postpartum depression for expecting mothers during COVID-19 pandemic. METHOD The data was collected from 170 expecting mothers who conceived and gave birth during the COVID-19 pandemic. Edinburgh postnatal depression scale, the young schema questionnaire-SF 75 items, and the Kentucky inventory for mindfulness scale were administered. RESULTS Results discovered that mindfulness partially mediated the relationship between three kinds of early maladaptive schemas and postpartum depression. CONCLUSION Mindfulness-based control techniques can be considered to buffer the impact of the early maladaptive schemas on postpartum depression, for mothers who give birth during any challenging time.
Discussion on the degree of influence on the performance of scene semantic classification after applying SRCNN reconstruction model

Scene images are rich in semantics, so scene classification is a very valuable and challenging task. Deep learning methods represented by DCNN have quickly become research hotspots with high efficiency and high accuracy. In response to the problem of improving classification performance, a network model that optimizes initial weights has appeared since 2018. However, none of the existing methods takes into account the adverse effect of the low quality of network input images on the classification accuracy. This article will combine super-resolution reconstruction technology to add image preprocessing operations before the classification network. The specific performance is the introduction of the SRCNN reconstruction model on the basis of the DCNN-ELM classification network. The following four experiments are implemented for three types of data sets: 1. Taking MIT Indoor and LSP as the research objects, compare the classification performance of the six existing methods to verify the multi-applicability of the optimized classification model. 2. Take five types of news scene sets as the research object to test the robustness of the optimized classification model. 3. Select three types of news scenes as the research objects, and divide them according to the degree of semantic clarity. The feasibility of the classification method proposed in this paper is discussed through the classification comparison experiment of whether the reconstruction preprocessing is performed on the input image. 4. Taking the atlas collected under severe weather as the research object, the application potential of the method in this paper is illustrated through the abovementioned comparative experiments.
Long-Distance Counter Calling in Maned Wolves: Friends or Foes?

Simple Summary Maned wolves generally maintain long distances between individuals and are difficult to see in the wild. To understand how they interact, we recorded sequences of alternating long-distance calls (roar-barks) of maned wolves in captivity and in the wild. In natural habitat recordings, we detected more interactions during the mating and initial parental care periods, suggesting communication among mated pairs and, later, among parental caregivers. In captivity, almost all vocal interactions involved both sexes and males presented longer roar-barks compared to females. We measured the same parameter in wild maned wolves and found that the participants in such vocal interactions differ with respect to the duration of their calls, suggesting that maned wolves engaging in long-distance counter-calling are mates. Such acoustic-based inferences of wildlife behavior are cost-effective and can be a useful tool in the conservation efforts to protect this vulnerable canid, and potentially other endangered species that are difficult to observe in the wild. Abstract Maned wolves (Chrysocyon brachyurus) are monogamous and display biparental care for their young, although adults rarely spend time in close proximity. To better understand vocal interactions of maned wolves over long-distances, we passively recorded >10 months of audio data in the species’ natural habitat and analyzed manual recordings of captive animals, covering the reproductive and non-reproductive seasons. In the natural habitat recordings, we found that maned wolves engage in vocal exchanges (termed interactive sequences) more often during the mating season, suggesting the existence of a partner attraction/reunion/guarding function, and also during the initial parental care period, suggesting communication among caregivers. We analyzed 21 interactive sequences, which were the only instances in which we could distinguish individuals, and found that the individuals interacting differed significantly in their roar-bark parameters, including duration, which also differed between males and females in captivity (male vocalizations were, on average, 0.124 s longer). We also found that interactive sequences in captive animals, involving two or more participants, almost always involved both sexes. These results suggest that acoustic interacting maned wolves are most likely male–female dyads.
Participative or Directive Leadership Behaviors for Decision-Making in Crisis Management Teams?

We assess the relative value of participative and directive leadership for improving the accuracy and speed of decision-making in crisis management teams, contingent on whether teams face an emergency that is familiar or unfamiliar to them. Testing our theory, using randomized experiments, with 72 teams tasked with managing simulated crises, we found that participative leadership improves decision accuracy in unfamiliar emergencies, whereas directive leadership improves accuracy in familiar crises; directive leadership produces speedier decisions than participative leadership when the team is familiar with the crisis. We discuss implications of our findings for leaders and crisis management experts.
DYNAMIC RF LINK ESTIMATION FOR TELEMETRY SYSTEM OF LAUNCH VEHICLE, KSLV-I

This paper presents the dynamic RF link estimation result for telemetry system of KSLV (Korea Space Launch Vehicle)-I. In particular, it utilizes the parameters of the instantaneous vehicle antenna gain pattern in three dimensions, the improvement by polarization diversity combiner at the ground receiver, and the free space propagation loss. The structural transformation and discontinuity of ground plane after the separation events of nose fairing, stage, and spacecraft, are also included in this analysis. As a consequence, the prediction of link variation has been performed in accordance with ARDP (Antenna Radiation Distribution Plot) and look angle trace of vehicle. In addition, the optimum position of onboard antennas has been investigated to provide better RF link margin in the nominal trajectory.
Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network

The methods based on the convolutional neural network have demonstrated its powerful information integration ability in image fusion. However, most of the existing methods based on neural networks are only applied to a part of the fusion process. In this paper, an end-to-end multi-focus image fusion method based on a multi-scale generative adversarial network (MsGAN) is proposed that makes full use of image features by a combination of multi-scale decomposition with a convolutional neural network. Extensive qualitative and quantitative experiments on the synthetic and Lytro datasets demonstrated the effectiveness and superiority of the proposed MsGAN compared to the state-of-the-art multi-focus image fusion methods.
Studies on the epidemiology and chemical control of Fusarium seedling blight of wheat using molecular techniques

Fusarium seedling blight is an important disease of wheat caused primarily by seed-borne Microdochium nivale of which there are two sub-species; var. nivale and var. majus. Though important pathogens of UK wheat crops, little is known about the relationship between seed-borne inoculum of each sub-species and subsequent disease, annual and regional distributions of inoculum, their pathogenicity as seed-borne pathogens or the relative effectiveness of the main method used to control seedling blight (seed treatments). This investigation aims to answer questions relating to these important factors of M. nivale as a seed-bome pathogen. Nucleotide sequences for the elongation factor 1-a gene were used to produce primers specific to Microdochium nivale var. nivale and var. majus. Internal standards were constructed and quantitative PGR assays developed using standard assay curves. Microdochium nivale var. nivale and var. majus inoculum was quantified on seed harvested in 1997, 1998 and 1999. Total M. nivale DNA was significantly related to the determination of M. nivale contamination using standard agar plate counts in each year, both estimates of M. nivale contamination were significantly related to seedling blight disease symptoms. A positive correlation was observed between fungal biomass of M. nivale var. nivale and var. majus in each year. Microdochium nivale var. majus was the dominant sub-species present in Scottish samples from each year though only in English samples from 1999. Microdochium nivale var. majus was the more pathogenic seedling blight pathogen as either inoculated surface-borne or natural seed-bome inoculum. Beret Gold was most active of six fungicide seed treatments towards isolates of each sub-species in vitro. Field trials showed that the amount of M. nivale DNA quantified in seed was reflected in the amount present in the resultant seedlings. This was reduced significantly through the use of the seed treatments Beret Gold or Sibutol. Significant differences between the treatments were evident when disease pressure was high.Microdochium nivale var. majus was the most effective coloniser at the seedling stage whereas var. nivale predominated prior to flowering. These results show that (i) PCR assays are a useful determinant of M. nivale contamination of wheat seed and seedling blight symptoms, (ii) seasonal and regional fluctuations occur in sub-species predominance on seed samples (iii) M. nivalevar. majus is a more pathogenic seedling blight pathogen than var. nivale (iv) Sibutol and Beret Gold are effective against both sub-species at the seedling stages of crop development.
Release of DNA from Dermanyssus gallinae during the Biting Process

Simple Summary Like many hematophagous parasites, the poultry red mite Dermanyssus gallinae may release some material during the biting process. This investigation evidenced that small amounts of mite DNA may be found in chicken skin after D. gallinae infestation. Since the retrieved DNA is both of nuclear and mitochondrial origin, it is possible to hypothesize that, while biting, the mite releases cellular material. Abstract Dermanyssus gallinae is a hematophagous ectoparasitic mite that usually infests poultry, but is also known for occasionally attacking other animals and humans. It represents a major problem for poultry systems all over the world, with detrimental effects for both production and animal welfare. Despite the significance of D. gallinae, very little is known about the biting process to date. Therefore, this study has aimed to verify if mite DNA is injected into the host skin during the blood meal. Mite DNA has been detected by seminested PCR from infested chicken skin and quantified by real-time PCR. Furthermore, its localization within the host tissue has been checked by fluorescent in situ hybridization. Results showed that a very little amount of D. gallinae DNA can be released by mites, suggesting that the latter do not introduce whole or partially destroyed cells into the host, but rather it injects traces of nucleic acids, possibly together with merocrine secretions.
Urolithin A as a Potential Drug for the Treatment of Spinal Cord Injuries: A Mechanistic Study Using Network Pharmacology Approaches

Objective This research was focused to examine the potential targets, action network, and mechanism of urolithin A (UA) in spinal cord injury (SCI) management exploiting the network pharmacology (NP). Methods We used the SwissTargetPrediction, PharmMapper, and TargetNet databases to obtain UA action targets. We searched the OMIM, GeneCards, CTD, and DrugBank databases to screen selected target genes for SCI treatment. The intersection of target genes between the UA and SCI databases was obtained by constructing Venn diagrams, which led to the identification of common druggable targets for the disease. The relationship network of the targets was built with Cytoscape 3.7. 2, and the protein interaction network was analyzed with the STRING platform. The protein-protein interaction (PPI) network can be built on the STRING database. Gene Ontology (GO) function and KEGG pathway analyses of target intersections were completed with the DAVID 6.8 database. We constructed preliminary network targets for actions underlying UA-SCI interactions. Using the AutoDock software, we examined the molecular docking interactions between UA and its target proteins and further verified the mechanism of the action of UA. Results We obtained 318 UA drug targets and 1492 SCI disease targets. We identified a total of 118 common UA-SCI targets. Based on the PPI analysis, we identified MAPK1, SRC, AKT1, HRAS, MAPK8, HSP90AA1, MAPK14, JAK2, ESR1, and NF-κB1 as possible therapeutic targets. Enrichment analysis revealed that the PI3K-AKT, VEGF, and TNF signaling pathways could be critical for the NP analysis. Molecular docking indicated that UA had a strong affinity for docked proteins (binding energy range: −6.3 to −9.3 kcal mol−1). Conclusions We employed an NP approach to validate and predict the underlying mechanisms associated with UA therapy for SCI. An additional purpose of this study was to provide a theoretical basis for further experimental studies on UA's potential in SCI treatment.
Formulation and characterization of nimodipine in situ gels for oral delivery

To formulate and evaluate Nimodipine floating in situ gels for oral delivery in order to enhance its residence time and to overcome the inherent drawbacks associated with conventional oral formulations like tablets and capsules. As Nimodipine is a BCS Class II drug, first Nimodipine solid dispersions were made to enhance its solubility. Solvent evaporation method was employed for this. Then in situ gel formulations were prepared using the optimized solid dispersion formulations. Sodium alginate and HPMC K100M were used as gelling agent and viscosifying agent respectively. In vitro characterization like gelling capacity, floating time, drug content, viscosity, % cumulative drug release studies were performed. In vivo pharmacokinetic parameters were studied. Infrared spectroscopy ruled out drug-excipient interactions. The release pattern showed a burst effect in the first 30 minutes followed by a moderate steady release for 12 hours. Stability testing indicated that the formulation remained stable with no significant changes in percent cumulative drug release and viscosity. In vivo pharmacokinetic study results were satisfactory. A promising, stable, sustained release, liquid oral floating in-situ gelling systems of Nimodipine were successfully developed and evaluated. Oral in situ gels could be good alternative for geriatric and pediatric population who have trouble swallowing solid medications.
Injuries on feller-buncher/grapple skidder logging operations in the Southeastern United States

A random sample of injuries to employees of feller-buncher/grapple skidder operations in the piedmont and coastal plain regions of the South was drawn from the 1997 claims records of three cooperating workers compensation insurance providers. Additional information was also provided on equipment, labor, and operations for each firm reporting an injury. The data were entered into a computer database management program for sorting and analysis. Results indicated that manual chain saw delimbing is the most hazardous job on partially mechanized' operations, where delimbing is performed manually with chain saws, while equipment maintenance and repair is most hazardous on fully mechanized firms that employ mechanical delimbing. Even on fully mechanized operations, however, a substantial number of injuries occur when various employees attempt to manually fell or delimb the occasional oversize or difficult-to-access tree that cannot be processed by a machine. A significant number of equipment operators are injured while simply mounting or dismounting their machine; workers with less than I year of experience are much more likely to incur an injury than more experienced employees.
COVID-19 fake news detection based on long short-term memory model

Since a wide-range of fake news concerning the COVID-19 virus spreads fast and without restraint, many pessimistic effects come along with it, disturbing people's daily life and interfering with the real news' distribution. To improve the situation nowadays, our study tries to come up with an idea of limiting the spread of fake news through detecting, identifying and classifying it. Such an objective is realized using a dataset named COVID-19 Fake News Dataset from the website of Mendeley Data which was delivered in early 2021. LSTM is also applied to build a related model to do fake news detection. As to the study result, our performance parameters include the value of accuracy, precision, etc. Additionally, we use the loss curve and confusion matrix to analyze the results and discuss accordingly. In conclusion, our research provides strategic references based on the LSTM model to solve problems connected with fake news detection on the COVID-19 virus.
Cross-sectional study of association between social support, job strain and cardiovascular disease

This cross-sectional study examines the association between workplace social support, job strain, and cardiovascular disease prevalence ratio and rate in a random sample of 13,779 in Sweden's working population which contains both males and females. Self-reported psychological work control, job demands, and workplace social support combined, is greater than multiplicatively relations to cardiovascular disease prevalence. Modified demand-control-support model is used for calculating prevalence ratio and prevalence rate. In comparison to the reference group, employees have high expectations, little control, and limited social support, demonstrates an age-adjusted prevalence ratio of 2.17 with a 95% confidence interval from 1.32 to 3.56. After controlling for age and 11 other potential confounding factors, the PRs for this group was around 2.00. By this study, when social support falls, cardiovascular disease prevalence rate and ratio rise in each combination. Limitations of the data accuracy and methodology weakness of cross-sectional design are discussed in this study.
Enhancer RNA AL928768.3 from the IGH Locus Regulates MYC Expression and Controls the Proliferation and Chemoresistance of Burkitt Lymphoma Cells with IGH/MYC Translocation

Chromosomal rearrangements leading to the relocation of proto-oncogenes into transcription-active regions are found in various types of tumors. In particular, the transfer of proto-oncogenes to the locus of heavy chains of immunoglobulins (IGH) is frequently observed in B-lymphomas. The increased expression of the MYC proto-oncogene due to IGH/MYC translocation is detected in approximately 85% of Burkitt lymphoma cases. The regulatory mechanisms affecting the oncogenes upon translocation include non-coding enhancer RNAs (eRNAs). We conducted a search for the eRNAs that may affect MYC transcription in the case of IGH/MYC translocation in Burkitt lymphoma, looking for potentially oncogenic eRNAs located at the IGH locus and predominantly expressed in B cells. Overexpression and knockdown of our primary candidate eRNA AL928768.3 led to the corresponding changes in the expression of MYC proto-oncogene in Burkitt lymphoma cells. Furthermore, we demonstrated that AL928768.3 knockdown decreased lymphoma cell proliferation and resistance to chemotherapy. Significant effects were observed only in cell lines bearing IGH/MYC abnormality but not in B-cell lines without this translocation nor primary B-cells. Our results indicate that AL928768.3 plays an important role in the development of Burkitt’s lymphoma and suggest it and similar, yet undiscovered eRNAs as potential tissue-specific targets for cancer treatment.
A highly secure C2C-PAKE cross-domain protocol

This paper studies the password-based strong authentication key exchange protocol in the cross-domain scenario, and gives an end-to-end highly secure C2C-PAKE protocol, in which the server shares a password with the client and also has a pair of private/public keys. In contrast, the client has the shared password and the server's public-key. Specifically, we combine the ECQV implicit certificate scheme with the ECDH key exchange protocol to give a highly secure cross-domain protocol. Considering the application of the ECQV implicit certificate scheme in the Internet of Things (IoT), we give an analysis the possibility of the proposed protocol applied in the cross-domain scenario of the IoT. Finally, based on some common attacks, we show a security analysis of our protocol, which achieves perfect forward security and resists dictionary attacks, KCI attacks, replay attacks, Insider-Assisted attacks, and so on.
Synergistic and antagonistic effects in anaerobic co-digestion. Analysis of the methane yield kinetics

Anaerobic digestion (AD) is a process of decomposition of organic matter in which the main product is a gaseous mixture called biogas, which has potential as a fuel. Anaerobic co-digestion (ACoD) is a technological alternative to improve the performance of the process, focused on balancing the C/N ratio and diluting inhibitory components. The literature highlights the increase in methane yield through ACoD. This investigation analyzed the mixing effects on methane yield kinetics, using articles that report kinetic coefficients in Cone and Gompertz models modified for binary and ternary mixtures. The analysis of the mixtures considered the sum of the contributions for each mixture using the adjusted kinetic coefficients for the monosubstrates. The mixing effects analysis compared the additive model fitted to the modified Cone and Gompertz models. The comparison made with the coefficients for the additive model and the experimental data presented relevant variations of 10%. This allowed to establish that the mixing effects can influence the methane yield as well as the kinetic constants of the process.
Load-Modulation-Based IMD3 Cancellation for Millimeter-Wave Class-B CMOS Power Amplifiers Achieving EVM < 1.2%

This letter presents a novel load-modulation-based 3rd-order intermodulation distortion (IMD3) cancellation technique for class-B CMOS power amplifiers (PAs). In a class-B PA, the IMD3 generated by the 3rd-order transconductance ( $g_{m3}$ ) and the gain compression have opposite signs, and thus, they can cancel each other at specific bias and loading conditions. The proposed Doherty topology allows adjusting the gain compression by modulating the effective loading, facilitating IMD3 cancellation over the entire load modulation region. The proposed approach is verified using a 28 GHz 40 nm CMOS series-Doherty PA (DPA) topology. The experimental result demonstrates 10/17 dB IMD3 improvement compared to class-B/DPA operation. Without using any digital pre-distortion, the measured EVM of the proposed technique for a 50 MHz 64-QAM OFDM signal with 8.9 dBm average output power is −38.7 dB (1.2%), which is 5.7/11 dB better than a standard class-B/DPA operation.