Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF BILATERAL TRADE AGREEMENTS ON RUSSIAS POSITION AS AN EXPORT PARTNER OF SYRIA.

Ali Faysal Ebraheem and Sameer Radi Sharaf. Department of Economics and Planning International Relations, Tishreen University, Lattakia, Syria. Manuscript Info Abstract . Manuscript History Received: 04 December 2018 Final Accepted: 06 January 2019 Published: February 2019
Palaeoflora and Climate of Lignite-bearing Lower−Middle Palaeoflora and Climate of Lignite-bearing Lower−Middle Miocene Sediments in the Seyitömer and Tunçbilek Sub-basins, Miocene Sediments in the Seyitömer and Tunçbilek Sub-basins,

: Lower–Middle Miocene successions from Kütahya province (Seyitömer and Tunçbilek sub-basins) were analyzed to reconstruct the palaeoclimate and vegetation of the period. A rich coniferous forest formed the dominant components among sporomorphs and consisted mainly of undeterminable Pinaceae, Pinus haploxylon type, Pinus diploxylon type, Picea, Cedrus, Cathaya, Keteleeria and Podocarpus . Pollen data also indicate the presence of some fern taxa ( Osmunda , Polypodiaceae, Schizeaceae) Selaginella and Lycopodium . Cupressaceae frequently occur in all samples from both sub-basins, and form part of the mixed forest assemblage. Two woody plants Castanea-Castanopsis and evergreen Quercus predominate in the assemblages as well. Th e reconstruction of palaeoclimate is based on the Coexistence Approach (CA) method and documents subtropical climate with cyclic variation in the sediment sequence. Th e vegetation does not show a clear change through the sequences studied. Small changes in the quantity of pollen taxa (e.g., thermophilous and arctotertiary) indicate small-scale cyclic temperature and precipitation oscillations during the deposition of the sediments. Using CA, seven palaeoclimate parameters were estimated. Quantitative palaeoclimate data indicate mean annual temperatures of 17−18°C, with winter temperatures of 8−10°C and summer temperatures of 27−28°C. Mean annual precipitation exceeded 1200 mm. Th e driest month precipitation was between 20 and 25 mm, the wettest month precipitation most frequently ranged between 200 and 250 mm and the summer precipitation was 100−150 mm. Th ese values imply that the Kütahya area was warm and received more precipitation during the Early−Middle Miocene than in modern times.
CME2 Net: Contextual Medical Event Extraction Network for clinical notes

Medication change is very important to know the medical history of a patient. Most of the clinical notes are in unstructured format and in addition to that due to its narrative nature expert human annotators are needed to interpret the events, which is quite expensive. In this work, we present an end-to-end model for the task of automatic extracting and classifying the medication change events from a clinical note. We propose a joint learning model trained with adaptive sample weighting loss which incorporates the use of clinical contextual embedding and static embeddings. Our proposed system obtained competitive performance on CMED dataset (n2c2 challenge 2022) for contextual medical event detection and classification.
Investigation of the Protective Effects of Caffeic Acid Phenethyl Ester against Cisplatin-induced Liver Damage in Rats

Cisplatin (CP) is used as an effective chemotherapeutic drug in the treatment of various solid tumors. However, side effects such as hepatotoxicity limit the use of the drug. We investigated the protective effects of caffeic acid phenethyl ester (CAPE), one of the active ingredients of propolis, against hepatotoxicity caused by CP treatment in the liver. 38 Wistar albino rats were divided into 4 groups. Control group was given physiological saline solution for 12 day. CP group was given a single dose of CP (7 mg/kg) on the day 7. CP+CAPE group, was given CAPE (10 μmol/kg/day) for 12 days and a single dose of CP (7 mg/kg) on day 7. CAPE group was given CAPE (10 μmol/kg/day for 12 days. Livers of rats sacrificed on the 14th day were stained with hematoxylin-eosin after histological tissue follow-up. The preparations were evaluated histopathologically and scored. Rat weights were measured and recorded at the beginning and end of the experiment. CP caused significant histopathological changes in the liver. CP also prevented the increase in rat weight. CAPE played an effective role as a protective agent against the histopathological changes caused by CP and showed signs of tissue healing. Our results show that CAPE can be protective against hepatotoxicity associated with CP.
Formation of Crowdshipping Habits in Public Transport: Leveraging Anticipated Positive Emotions Through Feedback Framing

To meet global goals for emission reductions, widespread behaviour change is needed. This includes adoption of novel travel habits. Public transport – based crowdshipping represents an opportunity for linking novel travel habit formation with the challenges posed by the environmentally burdensome state of last-mile parcel deliveries. This paper investigates potential links between anticipated as well as experienced positive emotions and behaviour formation in the highly habitualised context of public transport use. The empirical basis is a two-month real-world field experiment, in which public transport passengers could carry test parcels to and from Automated Parcel Lockers placed at public transport stations and stops. A pre-and post-survey was distributed in relation to the experiment. The results show that participants who to a higher degree anticipated having positive emotions evoked by participation reported a higher degree of habit formation. Second, recipients of an environmentally framed feedback showed more conducive attitudinal and behavioural results, including habit formation and post measures for anticipated positive emotions. Third, the environmentally framed feedback further supported the habit formation effect of anticipated positive emotions. Finally, a higher degree of habit formation was found amongst participants using a smartcard compared to monthly cardholders who do not need to perform any related physical tasks when travelling by public transport. Re-sults indicate the possibilities of supporting motivated cueing, where the reward value of performing a behaviour is conditioned onto situational cues that, with repeated participation, become associated with the (emotional) reward.
меТоды исследований

Subsumed under the category of ocean colour (oC) data fusion tools, a new approach is developed to efficiently use the merits of two oC satellite sensors differing in their spatial and spectral resolution characteristics. The tool permits to combine high spectral but lower spatial resolution optical data from one satellite sensor with higher spatial resolution but lower spectral resolution data from the other one into an image possessing simultaneously both high spectral and high spatial resolution qualities. The developed algorithm employs the artificial intelligence tool: emulated/artificial neuron networks (Anns). The developed Ann algorithm performance and efficiency are demonstrated for Lake michigan. The fusion was effected making use of multiband data from Sentinel-2 multispectral instrument (mSi) and moDiS-Aqua moderate Resolution imaging Spectroradiometer (moDiS) sensors. in this version moDiS-Aqua sensor is chosen as an analog of the Sentinel 3 oLCi, whose spectrometric and atmospheric corrected data are yet unavailable. The multi-sensor (mS) optical-optical fusion results have persuasively demonstrated the efficiency of the approach and its applicability to studies of natural water bodies of different optical complexity. it can be utilized in combination with any biogeochemical retrieval algorithms. in the case of retrieving water quality parameters (WQP) in optically shallow aquatic environments, the employment of the fusion tool developed is particularly promising as the bottom reflectance properties are frequently highly heterogeneous. indeed, in such cases, remote sensing optical
Interplay between bacterial 5′-NAD-RNA decapping hydrolase NudC and DEAD-box RNA helicase CsdA in stress responses

ABSTRACT Both prokaryotic and eukaryotic RNAs can be 5′-capped by the metabolite nicotinamide adenine dinucleotide (NAD). Nudix hydrolases, such as bacterial NudC, specifically remove NAD-caps; however, the molecular and cellular functions of these epitranscriptomic modulators remain elusive. Here, we discuss the roles of NudC under stress conditions and the effects of extracellular cues on the NAD epitranscriptome. Our proteome-wide analysis detected the proteins associated with the RNA degradosome as well as ribosomes and stress-responsive proteins in a NudC interactome. Moreover, we confirmed the physical association of NudC with the cold shock DEAD-box RNA helicase CsdA and the RNA chaperone Hfq. Interestingly, knocking out csdA similar to ∆nudC leads to an increased number of identified 5′-NAD-RNA species compared to wild type, exposing CsdA as a new player in a potentially unexplored layer of NAD-epitranscriptomic landscape. Mass spectrometry analysis also revealed the drastic up-regulation of 5′-NAD-RNA in response to cold. Furthermore, the inactivation of NudC in bacteria changes the levels of sRNA and protein-coding transcripts associated with bacterial chemotaxis and flagellar assembly pathways. We experimentally demonstrate that the decapping hydrolase NudC suppresses the flagellar movement, while CsdA stimulates it. Thus, the interplay between NudC and CsdA regulates bacterial mobility and coordinates stress-avoidance behavior. IMPORTANCE Non-canonical 5′-caps removing RNA hydrolase NudC, along with stress-responsive RNA helicase CsdA, is crucial for 5′-NAD-RNA decapping and bacterial movement. Non-canonical 5′-caps removing RNA hydrolase NudC, along with stress-responsive RNA helicase CsdA, is crucial for 5′-NAD-RNA decapping and bacterial movement.
Spatial and temporal pattern of structure-function coupling of human brain connectome with development

Brain structural circuitry shapes a richly patterned functional synchronization, supporting for complex cognitive and behavioural abilities. However, how coupling of structural connectome (SC) and functional connectome (FC) develops and its relationships with cognitive functions and transcriptomic architecture remain unclear. We used multimodal magnetic resonance imaging data from 439 participants aged 5.7 to 21.9 years to predict functional connectivity by incorporating intracortical and extracortical structural connectivity, characterizing SC-FC coupling. Our findings revealed that SC-FC coupling was strongest in the visual and somatomotor networks, consistent with evolutionary expansion, myelin content, and functional principal gradient. As development progressed, SC-FC coupling exhibited heterogeneous alterations dominated by an increase in cortical regions, broadly distributed across the somatomotor, frontoparietal, dorsal attention, and default mode networks. Moreover, we discovered that SC-FC coupling significantly predicted individual variability in general intelligence, mainly influencing frontoparietal and default mode networks. Finally, our results demonstrated that the heterogeneous development of SC-FC coupling is positively associated with genes in oligodendrocyte-related pathways and negatively associated with astrocyte-related genes. This study offers insight into the maturational principles of SC-FC coupling in typical development.
subfoveal choroidal thickness before and after intravitreal subfoveal choroidal thickness before and after intravitreal Ranibizumab injection in patients with choroidal Ranibizumab injection in patients with choroidal neovascularization neovascularization

Background : Ranibizumab is an antivascular endothelial growth factor agent made for intraocular use as a smaller antibody fragment that can penetrate the retina. Intravitreal ranibizumab therapy has been accepted as a predominant treatment for choroidal neovascularization (CNV) in recent years. Objective : The aim was to assess the potential adverse effects of ranibizumab on the choroid, variations in choroidal thickness were measured before and after ranibizumab treatment for CNV. Patients and methods : This prospective research study was carried out at the Ophthalmology Department of Al-Azhar University Hospitals on 20 patients from June 2021 till December 2021 to monitor changes of choroidal thickness before and after ranibizumab treatment for CNV to assess possible adverse effects of ranibizumab on the choroid. Results : There were highly statistically signi ﬁ cant variations between before injection and after injection regarding choroidal thickness. The mean ± SD choroidal thickness before injection was 356.85 ± 127.10 SD, with range from 154.0 to 632.0, and the mean ± SD choroidal thickness after injection was 235.40 ± 75.60 SD, with range from 127.0 to 400.0. There was a highly statistically signi ﬁ cant variation between before injection and after injection regarding central macular thickness (CMT). The mean ± SD CMT before injection was 302.80 ± 84.51, with range from 168 to 490, and the mean ± SD CMT after injection was 250.25 ± 53.44, with range from 150 to 331. Conclusion : Patients with CNV had a subfoveal choroidal thickness that was noticeably thicker in the affected eyes than in nonaffected contralateral eyes. SubFoveal Choroidal Thickness (SFCT) declined substantially after intravitreal ranibizumab administration, and this was associated with marginal reduction in retinal foveal thickness
Subclinical Thyroid Dysfunction and the Risk of Cognitive Decline: a Meta-Analysis of Prospective Cohort Studies.

CONTEXT Although both overt hyper- and hypothyroidism are known to lead to cognitive impairment, data on the association between subclinical thyroid dysfunction and cognitive function are conflicting. OBJECTIVE This study sought to determine the risk of dementia and cognitive decline associated with subclinical thyroid dysfunction among prospective cohorts. DATA SOURCES We searched in MEDLINE and EMBASE from inception until November 2014. STUDY SELECTION Two physicians identified prospective cohorts that assessed thyroid function and cognitive outcomes (dementia; Mini-Mental State Examination [MMSE]). DATA EXTRACTION Data were extracted by one reviewer following standardized protocols and verified by a second reviewer. The primary outcome was dementia and decline in cognitive function was the secondary outcome. DATA SYNTHESIS Eleven prospective cohorts followed 16,805 participants during a median followup of 44.4 months. Five studies analyzed the risk of dementia in subclinical hyperthyroidism (SHyper) (n = 6410), six in subclinical hypothyroidism (SHypo) (n = 7401). Five studies analyzed MMSE decline in SHyper (n = 7895), seven in SHypo (n = 8960). In random-effects models, the pooled adjusted risk ratio for dementia in SHyper was 1.67 (95% confidence interval, 1.04; 2.69) and 1.14 (95% confidence interval, 0.84; 1.55) in SHypo vs euthyroidism, both without evidence of significant heterogeneity (I2 = 0.0%). The pooled mean MMSE decline from baseline to followup (mean 32 mo) did not significantly differ between SHyper or SHypo vs euthyroidism. CONCLUSIONS SHyper might be associated with an elevated risk for dementia, whereas SHypo is not, and both conditions are not associated with faster decline in MMSE over time. Available data are limited, and additional large, high-quality studies are needed.
ULTRAVIOLET LUMINOSITY FUNCTIONS FROM 132 z ∼ 7 AND z ∼ 8 LYMAN-BREAK GALAXIES IN THE ULTRA-DEEP HUDF09 AND WIDE-AREA EARLY RELEASE SCIENCE WFC3/IR OBSERVATIONS

We identify 73 z ∼ 7 and 59 z ∼ 8 candidate galaxies in the reionization epoch, and use this large 26–29.4 AB mag sample of galaxies to derive very deep luminosity functions to < − 18 AB mag and the star formation rate (SFR) density at z ∼ 7 and z ∼ 8 (just 800 Myr and 650 Myr after recombination, respectively). The galaxy sample is derived using a sophisticated Lyman-break technique on the full two-year Wide Field Camera 3/infrared (WFC3/IR) and Advanced Camera for Surveys (ACS) data available over the HUDF09 (∼29.4 AB mag, 5σ), two nearby HUDF09 fields (∼29 AB mag, 5σ, 14 arcmin2), and the wider area Early Release Science (∼27.5 AB mag, 5σ, ∼40 arcmin2). The application of strict optical non-detection criteria ensures the contamination fraction is kept low (just ∼7% in the HUDF). This very low value includes a full assessment of the contamination from lower redshift sources, photometric scatter, active galactic nuclei, spurious sources, low-mass stars, and transients (e.g., supernovae). From careful modeling of the selection volumes for each of our search fields, we derive luminosity functions for galaxies at z ∼ 7 and z ∼ 8 to < − 18 AB mag. The faint-end slopes α at z ∼ 7 and z ∼ 8 are uncertain but very steep at α = −2.01 ± 0.21 and α = −1.91 ± 0.32, respectively. Such steep slopes contrast to the local α ≳ −1.4 and may even be steeper than that at z ∼ 4 where α = −1.73 ± 0.05. With such steep slopes (α ≲ −1.7) lower luminosity galaxies dominate the galaxy luminosity density during the epoch of reionization. The SFR densities derived from these new z ∼ 7 and z ∼ 8 luminosity functions are consistent with the trends found at later times (lower redshifts). We find reasonable consistency with the SFR densities implied from reported stellar mass densities being only ∼40% higher at z < 7. This suggests that (1) the stellar mass densities inferred from the Spitzer Infrared Array Camera (IRAC) photometry are reasonably accurate and (2) that the initial mass function at very high redshift may not be very different from that at later times.
Three-Dimensional Numerical Simulation of Droplet Evaporation Using the Lattice Boltzmann Method Based on GPU-CUDA Accelerated Algorithm

The three-dimensional (3D) single component multiphase Shan-Chen lattice Boltzmann (LB) model is implemented with the GPU-accelerated algorithm based on the CUDA platform for the simulation of droplet evaporation. It is found that the speed-up of the GPU-accelerated 3D LB model with respect to the CPU-based 3D LB model increases with the computational node number. The maximum speed-up is higher than around 300 when the computational domain is composed of 2563 computational nodes. Regarding the calculations performed using the GPU-accelerated 3D LB model that incorporates the operation of data output through CPU, the percentage of computational time consumed by CPU for executing the sequential tasks increases with the computational node number. The model validations are carried out through the comparisons of the simulations with Laplace’s law and the D2 law. Then, the GPU-accelerated 3D LB model is applied to simulate the evaporation phenomena of a droplet laying on smooth and rough solid surfaces. It is shown that the contact angle of the evaporating droplet on a smooth solid surface almost remains stable during the evaporation process. For the evaporating droplet sitting on a rough solid surface, however, the time evolution of the contact angle displays obvious oscillations. The simulated morphology evolution of the evaporating droplet sitting on a rough solid surface demonstrates that the oscillations of the contact angle are governed by the stick-slip movement, namely, depinning and receding, of the liquid-gas-solid contact line. This can be attributed to the large hysteresis of the droplet displaying the wetting Wenzel state. PACS: 47.55. -t, 68.08. -p, 68.03. Fg
Disturbance Rejection of Nonlinear Servo System by Self-tuning Control

This paper copes with a design of a control for a nonlinear servomotor. Rejection disturbance algorithm is incorporated into the controller. A control based on polynomial approach is used as a suitable strategy for a rejection of the measurable disturbance. The regression output error models are used in the identification part. The parameter estimates of the process and disturbance models were computed using the least squares method extended by an adaptive directional forgetting. The controller synthesis is based on polynomial theory – pole assignment method. The designed controller was applied to a laboratory servo system Amira DR300 in real-time conditions. Keywords—Disturbance rejection, Nonlinear system, Pole assignment, Real-time control, Self-tuning control, Servomotor.
A Case Series of Blastic Plasmacytoid Dendritic Cell Neoplasia

Blastic plasmacytoid dendritic cell neoplasm (BPDCN), an extremely rare and aggressive tumor, derives from plasmacytoid dendritic cell precursors and is characterized by CD4 and CD56 positivity accompanied by the expression of isolated myeloid, B- or T-cell lineage markers. Despite the recent introduction of specific targeted therapies, prognosis is still poor with a median overall survival of one year, and allogeneic bone marrow transplantation remains the only curative treatment in eligible patients. In this series, we described two cases of adult BPDCN treated with high dose cytarabine and methotrexate and autologous hematopoietic stem cell transplantation, or fludarabine, cytarabine, and idarubicin achieving the first a complete lasting remission, while the second only a transient improvement in skin lesions.
HI-DWA: HUMAN INFLUENCED DYNAMIC WINDOW APPROACH FOR SHARED CONTROL OF A TELEPRESENCE ROBOT

This thesis introduces a shared control mechanism, which allows the user to modify the path of a telepresence robot. The robot is capable of autonomously navigating to a goal predefined by the user, but the user might still want to adjust the path, for example, to go further away from other people or robots, steer away from a wall or go closer to interesting landmarks they want to see on the way. The thesis proposes Human-Influenced Dynamic Window Approach (HI-DWA), a shared control method aimed for immersive telepresence robots based on Dynamic Window Approach (DWA). The proposed method was compared with switching between autonomous navigation and manual control in a user study (N=32), where participants controlled a simulated telepresence robot in Virtual Reality (VR) using various control methods. Results showed that the users reached their goal faster using HI-DWA controller and found it less demanding and easier to use. However, preference between the two methods was split equally. Qualitative analysis revealed that a major reason for the participants that preferred switching between the two modes was the feeling of control. The study also analyzed the effect of different input methods using the HI-DWA, joystick and gesture, on the preference and perceived workload. Even though the gesture based HI-DWA was found significantly harder and more demanding to use, it was preferred more than the proposed method using joystick, or the switching.