Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequestration Effect on the Open-Cyclic Switchable Property of Warfarin Induced By Cyclodextrin: Time-Resolved Fluoresence Study

In this work, the photophysical properties of the fluorescent anticoagulant drug warfarin (W) were examined in water and inside methyl-β-cyclodextrins (Me-βCD) through absorption and time-resolved fluorescence measurements at pH 3 and 9 and upon the selective excitation of different isomers of warfarin at 280 and 320 nm. The values of binding constants (2.9 × 10 M and 4.2 × 10 M for protonated and deprotonated forms, respectively) were extracted from the spectrophotometric data. Both absorption and time-resolved fluorescence results established that the interior of the macromolecular host binds preferentially the open protonated form, red shifts the maximum of its absorption of light at ~305 nm, extends its excited-state lifetime, and decreases its emission quantum yield (ՓF). Collectively, sequestration of the open guest molecules decreases markedly their radiative rate constants (kr), likely due to formation of hydrogen-bonded complexes in both the ground and excited states. Due to lack of interactions, no change was observed in the excited-state lifetime of the cyclic form in the presence of Me-β-CD. The host also increases the excited-state lifetime and ՓF of the drug deprotonated form (W ). These later findings could be attributed to the increased rigidity inside the cavity of Me-β-CD. The pKa values extracted from the variations of the UV-visible absorption spectra of W versus the pH of aqueous solution showed that the open isomer is more acidic in both ground and excited states. The positive shifts in pKa values induced by three derivatives of cyclodextrins: HE-β-CD, Ac-β-CD, and Me-β-CD supported the preferential binding of these hosts to open isomers over cyclic.
Research on the influence of an adhesive layer on the monitoring signal of piezoelectric sensors

Electromechanical impedance (EMI) technology, as one of the important methods for analyzing and studying the interaction between sensors and structures, has the characteristics of clear physical meaning and high computational efficiency. However, for complex structures, it is difficult to quantitatively combine the measured impedance signal with the physical parameters of the tested structure. Therefore, establishing an appropriate EMI model is crucial to facilitate the quantitative analysis of structural health monitoring. The impedance models developed so far assume perfect adhesion between PZT and the structure, with displacement compatibility, and ignore the shear lag effect of the adhesive layer. Therefore, this research focuses on analyzing how surface-bonded PZT couples with the structure through the adhesives and conducting a shear layer analysis on two-dimensional (2-D) circular PZT to derive a closed-form solution for shear lag distribution. The shear lag effect is integrated into the 2D impedance formula. The influence of the adhesive layer on bolt loosening monitoring is studied, and it is proven that the modified EMI model can effectively predict the shear lag effect of the adhesive layer. The result of relative error analysis proves that conventional adhesive PZT also exhibits the shear lag phenomenon. The influence of different thicknesses of adhesive layers on sensor sensitivity is studied. The experimental results show that as the thickness of the adhesive layer decreases, the monitoring sensitivity of the sensor increases. Moreover, for slight bolt loosening, the thickness of the adhesive layer can affect the monitoring frequency.
Comparison of efficacy between unilateral biportal endoscopic lumbar fusion versus minimally invasive transforaminal lumbar fusion in the treatment of lumbar degenerative diseases: A systematic review and meta-analysis

Background: To evaluate the clinical efficacy and prognosis of unilateral biportal endoscopic lumbar fusion (ULIF) and minimally invasive transforaminal lumbar fusion (MIS-TLIF) for lumbar degenerative diseases. Methods: Chinese and English databases were retrieved for the period from database creation to December 31, 2022. Case-control studies on unilateral biportal endoscopic lumbar fusion were collected. The observation indexes consisted of operation times, intraoperative blood loss, postoperative drainage volume, length of hospital stay, postoperative pain score, postoperative oswestry disability index score, postoperative MacNab excellent and good rate, imaging fusion rate at the last follow-up, and complications. The NO rating table was employed to assess the quality of the included literature, and a meta-analysis was conducted using Revman5.4. 1 and Stata17. Results: Ten studies with 738 surgical patients were considered, including 347 patients in the ULIF group and 391 in the MIS-TLIF group. This Meta-analysis demonstrated statistically significant differences in mean operation duration, intraoperative blood loss, postoperative drainage volume, length of hospital stay, and early postoperative (1–2W) visual analogue scale/score (VAS) scores for back pain. No significant differences were observed in the final follow-up postoperative VAS scores for back pain, postoperative leg VAS score, postoperative oswestry disability index score, excellent and good rate of postoperative modified MacNab, imaging fusion rate, and complications. Conclusion: Compared with the MIS-TLIF group, the ULIF group had longer operation time, lower intraoperative blood loss and postoperative drainage volume, lower lumbar VAS score in the early postoperative period, and shorter hospital stay. ULIF is less invasive than traditional MIS-TLIF, making it a trustworthy surgical option for lumbar degenerative diseases with comparable fusion efficiency, superior MacNab rate, and complication rate.
GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning

Global navigation satellite system reflectometry (GNSS-R) is a burgeoning remote sensing observation technology that can retrieve global sea surface wind speeds using satellite signals reflected from the sea surface. The improvement of data quality and the accumulation of data volume of this technology provides data support for constructing interdisciplinary-based retrieval models. This article constructs a hybrid deep neural network model based on deep learning for wind speed retrieval, which can receive and perform feature mining on the entire delay waveform while simultaneously supporting multiple auxiliary features input and achieving joint fitting. Then a bias correction method based on cumulative distribution function (CDF) matching is introduced to mitigate bias, especially at high wind speeds. We verify the contribution of different attribute features in wind speed retrieval by designing a feature ablation analysis. The fluctuation variation of the retrieval accuracy in the time dimension and the retrieval results distribution in space are compared and analyzed. The root mean square error (RMSE) of retrieval results is 1.486 m/s and can reach 1.399 m/s under the 94.25% wind speed condition. After bias correction based on CDF matching, the retrieval accuracy at high wind speed is improved by 7.19%. Besides, this model also has good temporal stability and can reproduce large-scale wind fields while effectively mitigating retrieval bias on a global scale, showing great potential for operational applications.
Development of a Resilience Parameter for 3D-Printable Shape Memory Polymer Blends

The goal of this paper was to establish a metric, which we refer to as the resilience parameter, to evaluate the ability of a material to retain tensile strength after damage recovery for shape memory polymer (SMP) systems. In this work, three SMP blends created for the additive manufacturing process of fused filament fabrication (FFF) were characterized. The three polymer systems examined in this study were 50/50 by weight binary blends of the following constituents: (1) polylactic acid (PLA) and maleated styrene-ethylene-butylene-styrene (SEBS-g-MA); (2) acrylonitrile butadiene styrene (ABS) and SEBS-g-MA); and (3) PLA and thermoplastic polyurethane (TPU). The blends were melt compounded and specimens were fabricated by way of FFF and injection molding (IM). The effect of shape memory recovery from varying amounts of initial tensile deformation on the mechanical properties of each blend, in both additively manufactured and injection molded forms, was characterized in terms of the change in tensile strength vs. the amount of deformation the specimens recovered from. The findings of this research indicated a sensitivity to manufacturing method for the PLA/TPU blend, which showed an increase in strength with increasing deformation recovery for the injection molded samples, which indicates this blend had excellent resilience. The ABS/SEBS blend showed no change in strength with the amount of deformation recovery, indicating that this blend had good resilience. The PLA/SEBS showed a decrease in strength with an increasing amount of initial deformation, indicating that this blend had poor resilience. The premise behind the development of this parameter is to promote and aid the notion that increased use of shape memory and self-healing polymers could be a strategy for mitigating plastic waste in the environment.
A Novel Integral Equation Method for Biperiodic Array of Connected 3-D Composite Objects

A novel periodic method of moments (PMM) in spatial time domain is proposed in this paper. By using a reasonable equivalent model and periodic Greens function (PGF), we can treat connected and disconnected biperiodic unit cells in a general way, even for complex composite structures. The example shows that the proposed method is accurate. Meanwhile, the paper provides a novel approach to reduce the calculation time of the biperiodic structure.
Antimicrobial resistance profile of bacterial pathogens isolated from naturally infected fish in some lakes of Ethiopia

Small scale fisheries play important role in providing food and livelihoods for households in Ethiopia. However, prevalence of bacterial fish infection and their antimicrobial resistance are increasing over the world accounting for the major limitations in fish productionas well asits consumption. A cross sectional study was carried out to identify bacterial pathogens isolated from naturally infectedNile tilapia (Oreochromis niloticus) and 20 were common carp (Cyprinus carpio)fish showing clinical signs of disease particularly hemorrhage and skin ulceration and to determine the antibiotic susceptibility of fish associated bacteria in Ethiopia. A total of 42 fish samples from two lakes (Hawassa and Ziway) were aseptically collected and bacteria were isolated from the kidney, liver and intestine. The isolates were identified by their morphological characteristics, biochemical tests and sequencing of 16S rRNA genes. Nine well known fish pathogens were identified from 49 positive samples at the lakes with prevalence rate of Aeromonasveronii(21.43%), Proteusmirabilis (19.05%), Edwardsiella tarda (16.67%), Shigella flexneri(11.9%), Stenotrophomonas maltophilia (11.9%), Aeromonas hydrophila (11.9 %),Pseudomonas putida (9.5%), Aeromonassobria (7.14%) and Pseudomonas hunanensis (7.14%). Of these pathogens, six (6) mostprevalent andknown potential pathogens (A. hydrophila, A. veronii, E. tarda, P. mirabilis, S. flexneri and S. maltophilia)were evaluated for antibiotic susceptibility by using Kirby Bauer disk diffusion assay. All the isolates tested were resistant to at least three (3) of the eight antibiotics evaluated. High levels of resistance were expressed by the majority (87.5%) of the pathogens against penicillin and vancomycin. The results indicate the presence of potential pathogens andmaximum levels of acquired antibiotic resistance in fish bacteria from the study area. Thus, theuse of antibiotic in fish farming in Ethiopia should be discouraged.It isalso advisable to cook fish properly before consumption, in order to kill bacterialpathogens that may be present.
Maternal Colonization With Group B Streptococcus and Serotype Distribution Worldwide: Systematic Review and Meta-analyses

Russell, NJ; Seale, AC; O’Driscoll, M; O’Sullivan, C; Bianchi-Jassir, F; Gonzalez-Guarin, J; Lawn, JE; Baker, CJ; Bartlett, L; Cutland, C; +22 more. Gravett, MG; Heath, PT; Le Doare, K; Madhi, SA; Rubens, CE; Schrag, S; Sobanjo-Ter Meulen, A; Vekemans, J; Saha, SK; Ip, M; GBS Maternal Colonization Investigator Group; , COLLABORATORS; Asturias, E; Gaind, R; Kumar, P; Anthony, B; Madrid, L; Bassat, Q; Zhu, C; Luo, M; Nagarjuna, D; Majumder, S; (2017) Maternal Colonization With Group B Streptococcus and Serotype Distribution Worldwide: Systematic Review and Meta-analyses. Clinical infectious diseases, 65 (suppl). S100 − S111.ISSN1058 − 4838DOI : https : //doi.org/10.1093/cid/cix658
Dynamic Instrumental and Sensory Methods Used to Link Aroma Release and Aroma Perception: A Review

Perception of flavor is a dynamic process during which the concentration of aroma molecules at the olfactory epithelium varies with time as they are released progressively from the food in the mouth during consumption. The release kinetics depends on the food matrix itself but also on food oral processing, such as mastication behavior and food bolus formation with saliva, for which huge inter-individual variations exist due to physiological differences. Sensory methods such as time intensity (TI) or the more-recent methods temporal dominance of sensations (TDS) and temporal check-all-that-apply (TCATA) are used to account for the dynamic and time-related aspects of flavor perception. Direct injection mass spectrometry (DIMS) techniques that measure in real time aroma compounds directly in the nose (nosespace), aimed at obtaining data that reflect the pattern of aroma release in real time during food consumption and supposed to be representative of perception, have been developed over the last 25 years. Examples obtained with MS operated in chemical ionization mode at atmospheric or sub-atmospheric pressure (atmospheric pressure chemical ionization APCI or proton-transfer reaction PTR) are given, with emphases on studies conducted with simultaneous dynamic sensory evaluation. Inter-individual variations in terms of aroma release and their relevance for understanding flavor perception are discussed as well as the evidenced cross-modal interactions.
Peripheral blood CD3+HLADR+ cells and associated gut microbiome species predict response and overall survival to immune checkpoint blockade

Background The search for biomarkers to identify ideal candidates for immune checkpoint inhibitor (ICI) therapy is fundamental. In this study, we analyze peripheral blood CD3+HLADR+ cells (activated T-cells) as a novel biomarker for ICI therapy and how its association to certain gut microbiome species can indicate individual treatment outcomes. Methods Flow cytometry analysis of peripheral mononuclear blood cells (PBMCs) was performed on n=70 patients undergoing ICI therapy for solid malignancies to quantify HLA-DR on circulating CD3+ cells. 16s-rRNA sequencing of stool samples was performed on n=37 patients to assess relative abundance of gut microbiota. Results Patients with a higher frequency of CD3+HLADR+ cells before treatment initiation showed a significantly reduced tumor response and overall survival (OS), a worst response and experienced less toxicities to ICI therapy. As such, patients with a frequency of CD3+HLADR+ cells above an ideal cut-off value of 18.55% had a median OS of only 132 days compared to 569 days for patients below. Patients with increasing CD3+HLADR+ cell counts during therapy had a significantly improved OS. An immune signature score comprising CD3+HLADR+ cells and the neutrophil-lymphocyte ratio (NLR) was highly significant for predicting OS before and during therapy. When allied to the relative abundance of microbiota from the Burkholderiales order and the species Bacteroides vulgatus, two immune-microbial scores revealed a promising predictive and prognostic power. Conclusion We identify the frequencies and dynamics of CD3+HLADR+ cells as an easily accessible prognostic marker to predict outcome to ICIs, and how these could be associated with immune modulating microbiome species. Two unprecedented immune-microbial scores comprising CD3+HLADR+, NLR and relative abundance of gut bacteria from the Burkhorderiales order or Bacteroides vulgatus species could accurately predict OS to immune checkpoint blockade.
Evaluation of the Level of Dural Sac Tip in Saudi Population: A Magnetic Resonance Imaging Study

Background For the success of procedures such as caudal block, craniospinal irradiation (CSI), and management of lower back pain and to minimize the risk of dural puncture the exact level of dural sac (DS) termination should be known. Objective The evaluation of DS tip location in the Saudi population and exploring possible significant factors that could be used as predictors in clinical prognosis. Methods A total of 200 patients’ lumbar sagittal Weighted T2 Magnetic Resonance Imaging (MRI) study were randomly selected from a single-center hospital in-between 2020 and 2021. The DS tip location was determined by generating a perpendicular line from the longitudinal axis of its termination to the corresponding level. Then naming it after an intervertebral disk or a corresponding vertebrate that is divided into three thirds (upper, middle, and lower). Results In most cases, the level of DS termination is at the middle part of S2 (26.5%), followed by the upper part of S2 (25.1%), and the lower part of S2 (20%). In Saudi nationals, the DS tip was in the middle S2 level at 21.5%, upper S2 level at 19.1%, and lower S2 level at 17%. Factors such as age, sex, cause of referral, and nationality had no statistical significance in relation to DS tip location. Conclusion The DS termination level in the Saudi population ranges from disk between L5-S1 to the lower third of S3. Moreover, nationality, age, and cause of referral were not significant in determining the DS termination level. Therefore, it is still important to individualize patients’ treatment by using MRI for each case that requires it.
The Effectiveness and Safety of Dupilumab for the Treatment of Recalcitrant Chronic Actinic Dermatitis: A Case Series

Background Although dupilumab is an effective treatment approach for chronic actinic dermatitis (CAD) in some cases, its effectiveness and safety in CAD have not been sufficiently assessed. Purpose Evaluation of the effectiveness and safety of dupilumab in patients with recalcitrant CAD was performed. Methods We retrospectively reviewed the medical records of CAD patients treated with dupilumab. Data regarding demographics were collected, and disease severity scores were assessed using the following: Clinical Severity Score of CAD (CSS-CAD), Atopic Dermatitis Control Tool (ADCT), Dermatology Life Quality Index (DLQI), and Numeric Rating Scale (NRS)-itch scores. Results After 12 weeks of treatment, there was a significant decrease in disease severity scores of 16 CAD patients. Only one patient achieved a good response and most of the patients (62.5%, 10/16) had no significant symptom improvement after 4 weeks of treatment. However, after 12 weeks of treatment, 43.75% (7/16) of the patients reached excellent response (>75% improvement of CSS-CAD), 31.25% (5/16) good response (50%–75% improvement of CSS-CAD), 6.25% (1/16) partial response (25%–50% improvement of CSS-CAD), and only 18.75% (3/16) no response (<25% improvement of CSS-CAD). One patient complained of injection site reaction at the first injection. Conclusion This study supports dupilumab as an effective and safe treatment option for patients with recalcitrant CAD. Patients may require at least 4 weeks of treatment before the partial response is noted.
Receptors expressions on peripheral lymphocytes and CD4+CD183+ as a diagnostics biomarker for rheumatoid arthritis: A case–control study in Ghana

T cell receptors play important roles in the development and progression of rheumatoid arthritis (RA). Their involvement has been reported in inflammatory autoimmune diseases. However, their role in predicting RA is still under exploration. This study evaluated the expression of CD183 (CXCR3) receptors on T‐cells and other relevant biomarkers for detecting RA and determine their relationship with disease activity.
Étude des isotopes de l'osmium dans les eaux souterraines du Bangladesh et les sédiments himalayens : implications et rôle de l'érosion himalayenne sur le budget océanique de l'osmium

A travers l’exemple himalayen, nous etudions les mecanismes influencant la composition en osmium des sediments durant l’erosion, le transport sedimentaire et le depot dans les zones estuariennes. Au niveau du bassin himalayen de la Kali Gandaki, les relations observees entre les concentrations en osmium et les quantites de carbone organique confirment le role important des schistes noirs appartenant aux TSS (non radiogeniques) et au LH (radiogenique) malgre leurs faibles repartitions geographiques. Cependant, la composition fortement radiogenique mesuree dans les sediments du Gange n'est pas couplee a un enrichissement en 187Os dont la quantite moyenne est comparable a celle mesuree dans la croute continentale. La signature isotopique du Gange resulterait d'un appauvrissement en Os non-radiogenique, temoignant d'une forte dilution par des sediments derives de l'erosion des roches cristallines de l'HHC. Nous montrons a travers l’etude de sediments estuariens que le comportement de l’osmium en contact avec l’eau de mer est complexe et des echanges sont possibles a l’interface. Le developpement analytique realise en parallele des etudes sur les sediments a permis de documenter pour la premiere fois la composition en osmium des eaux souterraines. L’etude des aquiferes de la plaine du Bengale montre que les eaux souterraines possedent des concentrations en osmium significativement plus elevees que les eaux de riviere ou l’eau de mer. Si ce resultat est generalisable aux aquiferes mondiaux, un flux global de l’ordre de 170 kg d’osmium par an pourrait etre apporte a l’ocean. Cet apport est significatif et impliquerait la reevaluation du bilan oceanique mondial et une diminution significative du temps de residence de l’osmium dans les oceans. Ce resultat n’est pas anodin puisqu’il pourrait en partie reconcilier le temps de residence estime par bilan de masse oceanique et les variations glaciaires-interglaciaires observees par le rapport 187Os/188Os dans de nombreux enregistrements marins
Forests on the move: Tracking climate‐related treeline changes in mountains of the northeastern United States

Alpine treeline ecotones are influenced by environmental drivers and are anticipated to shift their locations in response to changing climate. Our goal was to determine the extent of recent climate‐induced treeline advance in the northeastern United States, and we hypothesized that treelines have advanced upslope in complex ways depending on treeline structure and environmental conditions.
Spatial mapping tools for district heating (DH): helping local authorities tackle fuel poverty

Introduction District heating (DH) is expected to have an important role in the UK’s future energy system, to deliver both low carbon energy and affordable heat. It uses waste heat sources or efficient generation technologies such as combined heat and power (CHP) to offer lower carbon and often lower cost heating options. As a result, DH is increasingly of interest in the fight against fuel poverty.