Miracle-dz/UniFAR-FTUs huggingface dataset:
Closed-Form UAV LoS Blockage Probability in Mixed Ground- and Rooftop-Mounted Urban mmWave NR Deployments

Unmanned aerial vehicles (UAV) are envisioned to become one of the new types of fifth/sixth generation (5G/6G) network users. To support advanced services for UAVs such as video monitoring, one of the prospective options is to utilize recently standardized New Radio (NR) technology operating in the millimeter-wave (mmWave) frequency band. However, blockage of propagation paths between NR base stations (BS) and UAV by buildings may lead to frequent outage situations. In our study, we use the tools of integral geometry to characterize connectivity properties of UAVs in terrestrial urban deployments of mmWave NR systems using UAV line-of-sight (LoS) blockage probability as the main metric of interest. As opposed to other studies, the use of the proposed approach allows us to get closed-form approximation for LoS blockage probability as a function of city and network deployment parameters. As one of the options to improve connectivity we also consider rooftop-mounted mmWave BSs. Our results illustrate that the proposed model provides an upper bound on UAV LoS blockage probability, and this bound becomes more accurate as the density of mmWave BS in the area increases. The closed-form structure allows for identifying of the street width, building block and BS heights, and UAV altitude as the parameters providing the most impact on the considered metric. We show that rooftop-mounted mmWave BSs allow for the drastic improvement of LoS blockage probability, i.e., depending on the system parameters the use of one rooftop-mounted mmWave BS is equivalent to 6–12 ground-mounted mmWave BSs. Out of all considered deployment parameters the street width is the one most heavily affecting the UAV LoS blockage probability. Specifically, the deployment with street width of 20 m is characterized by 50% lower UAV LoS blockage probability as compared to the one with 10 m street width.
Tread braking of railway wheels – wheel and block temperatures and the influence of rail chill

Tread braking generates high temperatures in railway wheels and brake blocks as the kinetic energy of the train is transformed into heat. The temperatures induced in the components are here analysed with particular focus on the cooling influence from the rolling contact between the hot wheel and a cold rail. Results from controlled brake rig tests are reported, where the rolling contact is studied using a so-called rail-wheel in contact with the braked wheel, along with results from field tests. The results from these experimental studies are used for calibration of a simulation tool for calculation of wheel and block temperatures. The calibrated model analyses heat partitioning between block, wheel and rail and to find the resulting temperatures at braking. It is found that the rail chill has a considerable influence on the wheel temperatures for long brake cycles. A successful calibration of the model for the field tests is also reported.
A Novel Molecular Representation Learning for Molecular Property Prediction with a Multiple SMILES-Based Augmentation

Deep learning has brought a rapid development in the aspect of molecular representation for various tasks, such as molecular property prediction. The prediction of molecular properties is a crucial task in the field of drug discovery for finding specific drugs with good pharmacological activity and pharmacokinetic properties. SMILES string is always used as a kind of character approach in deep neural network models, inspired by natural language processing techniques. However, the deep learning models are hindered by the nonunique nature of the SMILES string. To efficiently learn molecular features along all message paths, in this paper we encode multiple SMILES for every molecule as an automated data augmentation for the prediction of molecular properties, which alleviates the overfitting problem caused by the small amount of data in the datasets of molecular property prediction. As a result, by using the multiple SMILES-based augmentation, we obtained better molecular representation and showed superior performance in the tasks of predicting molecular properties.
Relaxed Feeding Constraints Facilitate the Evolution of Mouthbrooding in Neotropical Cichlids

Multifunctionality is often framed as a core constraint of evolution, yet many evolutionary transitions involve traits taking on additional functions. Mouthbrooding, a form of parental care where offspring develop inside a parent’s mouth, increases multifunctionality by adding a major function (reproduction) to a structure already serving other vital functions (feeding and respiration). Despite increasing multifunctionality, mouthbrooding has evolved repeatedly from other forms of parental care in at least seven fish families. We hypothesized that mouthbrooding is more likely to evolve in lineages with feeding adaptations that are already advantageous for mouthbrooding. We tested this hypothesis in Neotropical cichlids, where mouthbrooding has evolved four or five times, largely within winnowing clades, providing several pairwise comparisons between substrate-brooding and mouthbrooding sister taxa. We found that the mouthbrooding transition rate was 15 times higher in winnowing than in nonwinnowing clades and that mouthbrooders and winnowers overlapped substantially in their buccal cavity morphologies, which is where offspring are incubated. Species that exhibit one or both of these behaviors had larger, more curved buccal cavities, while species that exhibit neither behavior had narrow, cylindrical buccal cavities. Given the results we present here, we propose a new conceptual model for the evolution of mouthbrooding, integrating the roles of multifunctional morphology and the environment. We suggest that functional transitions like mouthbrooding offer a different perspective on multifunctionality: increasing constraints in one trait may release them for another, generating new evolutionary opportunities.
Interactome of Arabidopsis Thaliana

More than 95,000 protein–protein interactions of Arabidopsis thaliana have been published and deposited in databases. This dataset was supplemented by approximately 900 additional interactions, which were identified in the literature from the years 2002–2021. These protein–protein interactions were used as the basis for a Cytoscape network and were supplemented with data on subcellular localization, gene ontologies, biochemical properties and co-expression. The resulting network has been exemplarily applied in unraveling the PPI-network of the plant vacuolar proton-translocating ATPase (V-ATPase), which was selected due to its central importance for the plant cell. In particular, it is involved in cellular pH homeostasis, providing proton motive force necessary for transport processes, trafficking of proteins and, thereby, cell wall synthesis. The data points to regulation taking place on multiple levels: (a) a phosphorylation-dependent regulation by 14-3-3 proteins and by kinases such as WNK8 and NDPK1a, (b) an energy-dependent regulation via HXK1 and the glucose receptor RGS1 and (c) a Ca2+-dependent regulation by SOS2 and IDQ6. The known importance of V-ATPase for cell wall synthesis is supported by its interactions with several proteins involved in cell wall synthesis. The resulting network was further analyzed for (experimental) biases and was found to be enriched in nuclear, cytosolic and plasma membrane proteins but depleted in extracellular and mitochondrial proteins, in comparison to the entity of protein-coding genes. Among the processes and functions, proteins involved in transcription were highly abundant in the network. Subnetworks were extracted for organelles, processes and protein families. The degree of representation of organelles and processes reveals limitations and advantages in the current knowledge of protein–protein interactions, which have been mainly caused by a high number of database entries being contributed by only a few publications with highly specific motivations and methodologies that favor, for instance, interactions in the cytosol and the nucleus.
More or Less: How Do Inhomogeneous Sea‐Salt Aerosols Affect the Precipitation of Landfalling Tropical Cyclones?

The evolution of landfalling Typhoon Fitow in the western North Pacific in 2013 is simulated with an emphasis on the direct radiative effect of sea‐salt aerosols (SSAs) on the precipitation of Fitow. The inhomogeneous SSAs, formed under the environment with low relative humidity (50%–70%), exhibit different optical properties (particular the decreased asymmetry factor) compared with the commonly used homogeneous sea‐salt droplets. We find that incorporating the inhomogeneity of SSAs in the Weather Research and Forecasting (WRF) model decreases the simulated rainfall of Fitow in coastal regions where the continental dry air intrudes. Fundamentally, the cooling effect induced by the particle inhomogeneity and its hysteresis increase atmospheric stability and weaken vertical velocity, which reduce the accumulated rainfall of Fitow. These findings of radiation‐related effects of SSAs provide a new clue for improving the physical processes responsible for precipitation of tropical cyclones in numerical models.
Effects of parenting education programs for refugee and migrant parents: a systematic review and meta-analysis

Purpose This systematic review and meta-analysis investigated the effects of parenting education programs (PEPs) for refugee and migrant parents. Methods A systematic review was conducted according to PRISMA guidelines. Relevant studies published from 2000 to 2020 were identified through a systematic search of six electronic databases (PubMed, Embase, Cochrane Library, CINAHL, RISS, KMBASE). A meta-analysis of the studies was then undertaken. Results Of the 14,996 published works identified, 23 studies satisfied the inclusion criteria, and 19 studies were analyzed to estimate the effect sizes (standardized mean differences) of the PEPs using random-effect models. PEPs were effective for parenting efficacy (effect size [ES]=1.40; 95% confidence interval [CI]: 1.14-1.66), positive parenting behaviors (ES=0.51; 95% CI: 0.30-0.73), parent-child relationships (ES=0.38; 95% CI: 0.22-0.53), and parenting stress (ES=0.64; 95% CI: 0.50-0.79). There were statistically significant differences in the effect sizes of PEPs that included mothers only (ES=0.93), included children under 7 years of age(ES=0.91), did not include child participation (0.77), continued for 19 or more sessions (ES=0.80), and were analyzed in quasi-experimental studies (ES=0.86). The overall effect of publication bias was robust. Conclusion PEPs were found to be effective at improving parenting efficacy, positive parenting behaviors, parent-child relationships, and parenting stress.
Between-row spacing and local accession on the yield and quality of garlic

Garlic is primarily grown for its cloves used mostly as a food flavoring condiment. Previous studies carried out on plant density indicate its direct influence on yield. Plant density depends on the genotype, environmental factors, cultural practices, etc. This study was established to determine the effects of different between-row spacing on growth, yield, and quality of four local accession of garlic. It was laid out on two-factorial Randomized Complete Block Design with three replications during two years. Four local accession of garlic (Langroud, Tarom, Tabriz and Hamedan) were culture in three between-rows spacing (15, 25 and 35 cm) during two years. The results of two cultivated years were different. Plant density changed when garlic cultured with different between row spacing. In present research plant yield increased when the lower between row spacing and high plant density were used but the yield improvement occurring at increased plant stand is offset by the reduction in bulb size and some quality indices such as total phenol and antioxidant which severely affects quality and market value, when garlic is produced for fresh market.
Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects

Objective: This study aimed to develop and validate an automated artificial intelligence (AI)-driven quantification of pleural plaques in a population of retired workers previously occupationally exposed to asbestos. Methods: CT scans of former workers previously occupationally exposed to asbestos who participated in the multicenter APEXS (Asbestos PostExposure Survey) study were collected retrospectively between 2010 and 2017 during the second and the third rounds of the survey. A hundred and forty-one participants with pleural plaques identified by expert radiologists at the 2nd and the 3rd CT screenings were included. Maximum Intensity Projection (MIP) with 5 mm thickness was used to reduce the number of CT slices for manual delineation. A Deep Learning AI algorithm using 2D-convolutional neural networks was trained with 8280 images from 138 CT scans of 69 participants for the semantic labeling of Pleural Plaques (PP). In all, 2160 CT images from 36 CT scans of 18 participants were used for AI testing versus ground-truth labels (GT). The clinical validity of the method was evaluated longitudinally in 54 participants with pleural plaques. Results: The concordance correlation coefficient (CCC) between AI-driven and GT was almost perfect (>0.98) for the volume extent of both PP and calcified PP. The 2D pixel similarity overlap of AI versus GT was good (DICE = 0.63) for PP, whether they were calcified or not, and very good (DICE = 0.82) for calcified PP. A longitudinal comparison of the volumetric extent of PP showed a significant increase in PP volumes (p < 0.001) between the 2nd and the 3rd CT screenings with an average delay of 5 years. Conclusions: AI allows a fully automated volumetric quantification of pleural plaques showing volumetric progression of PP over a five-year period. The reproducible PP volume evaluation may enable further investigations for the comprehension of the unclear relationships between pleural plaques and both respiratory function and occurrence of thoracic malignancy.
Self-Reported Social Relationship Capacities Predict Motor, Functional and Cognitive Decline in Huntington’s Disease

Huntington’s Disease (HD) is an inherited neurodegenerative disease characterized by a combination of motor, cognitive, and behavioral disorders. The social and behavioral symptoms observed in HD patients impact their quality of life and probably explain their relational difficulties, conflicts, and social withdrawal. In this study, we described the development of the Social Relationship Self-Questionnaire (SRSQ), a self-reporting questionnaire that assesses how HD patients perceived their social relationships. The scale was proposed for 66 HD patients at an early stage of the disease, 32 PreHD patients (individuals carrying the mutant gene without motor symptoms), and 66 controls. The HD patients were included in a prospective longitudinal follow-up for an average of 1.07 years with motor, functional, cognitive, and behavioral assessments. Based on the HD patients’ answers at baseline, we identified two domains in the SRSQ. The first domain was related to social motivation and correlated with cognitive performance. The second domain was related to emotional insight and correlated with behavioral symptoms such as apathy, anxiety, and irritability. We discovered that both SRSQ domain scores at baseline predicted future motor, functional, and cognitive decline in HD.
Teaching Reform of Single Chip Computer Course

A series of reform measures in the teaching of Single Chip Computer course are introduced. Reform measures involve theory teaching,experiment teaching,course design,evaluation methods and subject contest. The focus of these reform measures is to cultivate students' innovative consciousness and thought,increase students' practical and innovative opportunity and stimulate students' enthusiasm of innovation. Practice shows that these reform measures effectively cultivate students' practical and innovative ability and improve their comprehensive quality.
Divergent Golgi Trafficking Limits B cell-Mediated IgG Sialylation

The degree of α2,6-linked sialylation on IgG glycans is associated with a variety of inflammatory conditions and is thought to drive IgG anti-inflammatory activity. Previous findings revealed that ablation of β-galactoside α2,6-sialyltransferase 1 (ST6Gal1) in B cells failed to alter IgG sialylation in vivo, yet resulted in the loss of B cell surface α2,6 sialylation, suggesting divergent pathways for IgG and cell surface glycoprotein glycosylation and trafficking. Employing both B cell hybridomas and ex vivo murine B cells, we discovered that IgG was poorly sialylated by ST6Gal1 and highly core fucosylated by α1,6-fucosyltransferase 8 (Fut8) in cell culture. In contrast, IgG-producing cells showed the opposite pattern by flow cytometry, with high cell surface α2,6 sialylation and low α1,6 fucosylation. Paired studies further revealed that ex vivo B cell-produced IgG carried significantly less sialylation compared to IgG isolated from the plasma of matched animals, providing evidence that sialylation increases after release in vivo. Finally, confocal analyses demonstrated that IgG poorly localized to subcellular compartments rich in sialylation and ST6Gal1, and strongly to regions rich in fucosylation and Fut8. These findings support a model in which IgG subcellular trafficking diverges from the canonical secretory pathway by promoting Fut8-mediated core fucosylation and limiting exposure to and modification by ST6Gal1, providing a mechanism for why B cell-expressed ST6Gal1 is dispensable for IgG sialylation in vivo.
Use of Lactobacillus plantarum in Preventing Clinical Cases of American and European Foulbrood in Central Italy

American and European Foulbrood (AFB and EFB) are considered the most contagious infectious diseases affecting honeybees worldwide. New sustainable strategies need to be implemented for their prevention and control, and probiotics may represent one solution to investigate. In our study, we evaluated the efficacy of one strain of Lactobacillus plantarum (L. plantarum) isolated from northern Italy, orally administered to the bees for AFB and EFB prevention. From March to September 2014, a total of 979 honeybee colonies (9.6% of Viterbo province—Central Italy) were taken under observation from 22 apiaries. Overall prevalence of AFB was 5.3% in treated colonies and 5.1% in the untreated ones. On the contrary, EFB prevalence was lower in the treated colonies (2.5%) compared to the untreated ones (4.5%). L. plantarum showed a significant effect in reducing insurgence of cases of EFB up to 35 days after the end of the treatment (p-value: 0.034). Thanks to this study we could investigate the preventive efficacy of L. plantarum in controlling AFB and EFB, and obtain official data on their clinical prevalence in Central Italy.
Associations between affect and empathic accuracy during conflict interactions in couples

The current research examined how intimate partners’ affect is related, on a moment-to-moment basis, to their level of empathic accuracy during conflict interactions. To this end, we analyzed data from two laboratory-based studies (n = 155 and n = 172 couples) in which couples participated in a conflict interaction task, followed immediately by a video-review task during which they reported on their own feelings and thoughts and inferred those of their partner at different moments in the interaction. We found that the partners’ affective similarity—for both positive (Studies 1 and 2) and negative affect (Study 2)—was related to greater perceiver empathic accuracy for both the partner’s feelings (Studies 1 and 2) and the partner’s thoughts (Study 2). The data from Study 2 also revealed a complementary effect: lower levels of empathic accuracy for feelings at moments of affective dissimilarity between the partners (i.e., when a perceiver was feeling positive while his/her partner was feeling negative).
Summer trends and drivers of sea surface fCO 2 and pH changes observed in the southern Indian Ocean over the last two decades (1998–2019)

The decadal changes in the fugacity of CO 2 (fCO 2 ) and pH in surface waters are investigated in the southern Indian Ocean (45–57 ◦ S) using repeated summer observations, including measurements of fCO 2 , total alkalinity ( A T ) and total carbon ( C T ) collected over the period 1998–2019 in the frame of the French monitoring programme OISO ( Océan Indien Service d’Observation ). We used three datasets (underway fCO 2 , underway A T – C T and station A T – C T ) to evaluate the trends of fCO 2 and pH and their drivers, including the accumulation of anthropogenic CO 2 ( C ant ). The study region is separated into six domains based on the frontal system and biogeochemical characteristics: (i) high-nutrient low-chlorophyll (HNLC) waters in the polar front zone (PFZ) and (ii) north part and (iii) south part of HNLC waters south rapid increase in C T (up to + 1.4 µmol kg − 1 yr − 1 ) mainly explained by the uptake of C ant . Our data also show rapid changes in short periods and a relative stability of both fCO 2 and pH in recent years at several locations both north and south of the PF, which leaves many open questions, notably the tipping point for the saturation state of carbonate minerals that remains highly uncertain. This highlights the need to maintain observations in the long-term in order to explore how the carbonate system will evolve in this region in the next decades.
Anthropometric measurements of peri-oral region in a sample of Iraqi thalassemic patients

OBJECTIVES: Thalassemia, one of the most widespread autosomal recessive disorders, is characterized by anomalies in the synthesis of hemoglobin beta chains and is frequently coupled with variable craniofacial characteristics. Thalassemic patients suffer from severe anemia, which triggers several defense mechanisms in the body, such as bone marrow expansion, which forces the bones to expand, resulting in craniofacial bone deformities. This study aims to assess and compare the orofacial dimensions of β-thalassemia patients with those of a control group across similar ages and gender. MATERIALS AND METHODS: Three hundred Iraqi individuals agreed to participate in this study (150 non-thalassemic and 150 thalassemic patients with an equal distribution of genders). A well-trained researcher carried out five anthropometric measurements by using an electronic digital caliper. Gender and group differences were tested using an independent sample t test. RESULTS: Mouth width showed clinical and statistically significant group differences among all measurements in the study group. CONCLUSIONS: All measurements except mouth width showed nonsignificant clinical group differences.