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Abstract In Free Space Optical (FSO) communication systems, atmospheric turbulence distorts the propagating beams, causing a random fading in the received power. This perturbation can be compensated using a multi-aperture receiver that samples the distorted wavefront on different points and adds the various signals coherently. In this work, we report on an adaptive optical receiver that compensates in real time for scintillation in FSO links. The optical front-end of the receiver is entirely integrated in a silicon photonic chip hosting a 2D Optical Antenna Array and a self-adaptive analog Programmable Optical Processor made of a mesh of tunable Mach–Zehnder interferometers. The photonic chip acts as an adaptive interface to couple turbulent FSO beams to single-mode guided optics, enabling energy and cost-effective operation, scalability to systems with a larger number of apertures, modulation-format and data-protocol transparency, and pluggability with commercial fiber optics transceivers. Experimental results demonstrate the effectiveness of the proposed receiver with optical signals at a data rate of 10 Gbit/s transmitted in indoor FSO links where different turbulent conditions, even stronger than those expected in outdoor links of hundreds of meters, are reproduced.

Abstract Background/Objectives This study aims to elucidate the genetic causes of congenital hypogonadotropic hypogonadism (CHH), a rare genetic disorder resulting in GnRH deficiency, in six families from Pakistan. Methods Eighteen DNA samples from six families underwent genome sequencing followed by standard evaluation for pathogenic single nucleotide variants (SNVs) and small indels. All families were subsequently analyzed for pathogenic copy number variants (CNVs) using CoverageMaster. Results Novel pathogenic homozygous SNVs in known CHH genes were identified in four families: two families with variants in GNRHR, and two others harboring KISS1R variants. Subsequent investigation of CNVs in the remaining two families identified novel unique large deletions in ANOS1. Conclusion A combined, systematic analysis of single nucleotide and CNVs helps to improve the diagnostic yield for variants in patients with CHH.

Trauma-informed beliefs often decrease during posttraumatic stress disorder (PTSD) treatment. This may also extend to anxiety sensitivity (AS), defined as a fear of anxiety-related sensations and beliefs that anxiety is dangerous and/or intolerable. However, little is known about how AS changes during exposure-based and psychopharmacological PTSD treatments. Further, high AS may be a risk factor for diminished PTSD symptom improvement and increased treatment dropout. To better understand how AS impacts and is impacted by PTSD treatment, we conducted a secondary analysis of a randomized clinical trial with a sample of 223 veterans (87.0% male, 57.5% White) with PTSD from four U.S. sites. Veterans were randomized to receive prolonged exposure (PE) plus placebo (n = 74), sertraline plus enhanced medication management (n = 74), or PE plus sertraline (n = 75). Veterans answered questions about PTSD symptoms and AS at baseline and 6-, 12-, 24-, 36-, and 52-week follow-ups. High baseline AS was related to high levels of PTSD severity at 24 weeks across all conditions, β = .244, p = .013, but did not predict dropout from exposure-based, β = .077, p = .374, or psychopharmacological therapy, β = .009, p = .893. AS also significantly decreased across all three treatment arms, with no between-group differences; these reductions were maintained at the 52-week follow-up. These findings suggest that high AS is a risk factor for attenuated PTSD treatment response but also provide evidence that AS can be improved by both PE and an enhanced psychopharmacological intervention for PTSD.

Our work investigated the antimicrobial and prebiotic properties of basil, mint, oregano, rosemary, savory, and thyme honey. The potential antimicrobial action, assessed against the pathogens Acinetobacter baumannii, Escherichia coli, Listeria monocytogenes, Pseudomonas aeruginosa, and Staphylococcus aureus, evidenced the capacity of the honey to influence the pathogenic hydrophobicity and hemolytic activities. Honey inhibited pathogen biofilms, acting especially on the mature biofilms, with inhibition rates of up to 81.62% (caused by the presence of mint honey on L. monocytogenes). S. aureus biofilms were the most susceptible to the presence of honey, with inhibition rates up of to 67.38% in the immature form (caused by basil honey) and up to 80.32% in the mature form (caused by mint honey). In some cases, the amount of nuclear and proteic material, evaluated by spectrophotometric readings, if also related to the honey’s biofilm inhibitory activity, let us hypothesize a defective capacity of building the biofilm scaffold or bacterial membrane damage or an incapability of producing them for the biofilm scaffold. The prebiotic potentiality of the honey was assessed on Lacticaseibacillus casei Shirota, Lactobacillus gasseri, Lacticaseibacillus paracasei subsp. paracasei, and Lacticaseibacillus rhamnosus and indicated their capacity to affect the whole probiotic growth and in vitro adhesive capacity, as well as the antioxidant and cytotoxic abilities, and to inhibit, mainly in the test performed with the L. casei Shirota, L. gasseri, and L. paracasei supernatants, the immature biofilm of the pathogens mentioned above.

Posttraumatic negative thoughts about one's self and the world are related to posttraumatic stress disorder (PTSD) symptom severity and change in cognitive behavioral treatment (CBT), but little is known about this association when CBT is delivered with medication. The current study presents a planned comparison of changes in negative posttraumatic thoughts during (a) prolonged exposure (PE) plus pill placebo (PE+PLB), (b) sertraline plus enhanced medication management (SERT+EMM), and (c) PE plus sertraline (PE+SERT) as part of a randomized clinical trial in a sample of 176 veterans. Lagged regression modeling revealed that change in posttraumatic negative thoughts was associated with PTSD symptom change in the conditions in which participants received sertraline, ds = 0.14-0.25, ps = 0.04-.001). However, contrary to previous research, the models that started with symptom change were also statistically significant, d = 0.23, p

Fabrics have been recognized as a necessary component of daily life due to their involvement in garments, home textiles, and industrial textiles. The mechanical performance of textiles was considered essential to meet the end-user requirements for strength and durability. The purpose of this work was to provide an overview of the textile structures and tensile strengths of woven textiles. Different types of textile structures, depending on the weaving methods (woven, braided, knitted, non-woven) and the most common architectures of woven fabrics (plain weave, twill and sateen), were presented. Common materials constituting the textiles’ structures and a comparison in terms of the density, Young’s modulus and tensile strength between natural (plant-based, animal-based, and mineral-based) and synthetic fibers were reported. The mechanical properties of woven textiles were presented for neat and coated textiles, primarily in terms of the tensile strength. Depending on the cases, typical regions in the load–displacement curve (i.e., crimp, elastic, non-linear failure, thread fracture) were highlighted. The impact of the architecture, yarn distance and size, and yarn twisting on the tensile strength of woven fabrics was then illustrated.

The onset of the COVID-19 pandemic disrupted many aspects of daily life and required a rapid and unprecedented shift in psychotherapy delivery from in-person to telemental health. In the present study, we explored the impact of the pandemic on individuals' ability to participate in posttraumatic stress disorder (PTSD) psychotherapy and the association between the impact of COVID-19 impact on health and financial well-being and psychotherapy participation. Participants (N = 161, 63.2% male, Mage = 42.7 years) were United States military veterans (n = 108), active duty military personnel (n = 12), and civilians (n = 6), who were participating in one of nine PTSD treatment trials. The results indicate a predominately negative COVID-19 impact on therapy participation, although some participants (26.1%) found attending therapy sessions through telehealth to be easier than in-person therapy. Most participants (66.7%) reported that completing in vivo exposure homework became harder during the pandemic. Moreover, the impact of the pandemic on PTSD symptom severity and daily stress were each associated with increased difficulty with aspects of therapy participation. The findings highlight the unique challenges to engaging in PTSD treatment during the pandemic as well as a negative impact on daily stress and PTSD severity, both of which were related to treatment engagement difficulties.

There has been a small but now growing interest in studying decision making in real-world contexts where part of the problem faced by decision makers is to generate candidate options they will actually decide between. While some of this work has employed large decision spaces where options are discrete and valuation is computationally tractable (e.g., chess), very little work has focused on genuinely open-ended decision contexts that more closely mirror mundane real-world decisions. This paper leverages large language models to investigate how people generate options when facing genuinely open-ended problems. Across three experiments, we apply semantic similarity and sentiment analyses to the options that participants sequentially generate for real-world decision problems. We find that the first options generated tend to be sampled from a relatively local region of semantic space and are typically of high value. As additional options are generated, they become increasingly dissimilar and are of lower value. These patterns held both at the level of individual option generation trajectories within a given participant and at the level of individual differences across participants.

In this work, the authors investigated the impact of extrusion-based printing process on the structural characteristics of bio-based resins through rheological measurements. Two commercially available filaments made from unfilled and wood-filled polylactide (PLA) polymers were considered. Three-dimensional specimens were prepared by printing these filaments under various operating conditions, i.e., changing the extruder temperature and printing rate, and examined using time sweep tests. Specific cycle rheological testing was conducted on pelletized filaments to simulate temperature changes in the printing process. The rheological characteristics of unprocessed materials, in terms of storage (G′) and loss (G″) moduli, were found to be slightly affected by temperature changes. For a pure polymer, the G′ slope at a low frequency decreased over time, showing that the polymer chains evolved from a higher to a lower molecular weight. For wood-filled materials, the G′ slope rose over the testing time, emphasizing the formation of a percolated network of structured filler within the matrix. On the other side, the rheological parameters of both materials were strongly impacted by the printing extrusion and the related conditions. At lower nozzle temperatures (200 °C), by decreasing the printing speed, the G′ and G″ curves became increasingly different with respect to unprocessed resin; whereas at higher nozzle temperatures (220 °C), the influence of the printing speed was insignificant, and all curves (albeit distant from those of unprocessed matrix) mainly overlapped. Considerations on degradation kinetics of both materials during the printing process were also provided by fitting experimental data of complex viscosity with linear correlation over time.

The unprecedented effects and duration of the COVID-19 crisis are likely to elevate the population's level of anxiety due to psychological stress, economic hardship, and social isolation. This effect may be especially potent for individuals with preexisting mental health conditions, such as posttraumatic stress disorder (PTSD). Prolonged Exposure (PE) therapy is a highly effective treatment for PTSD across trauma-exposed populations, and has been implemented effectively via telehealth. Nevertheless, PE implementation via telehealth may require specific adaptations during the COVID-19 crisis due to public health mandates calling for sheltering in place and physical distancing. This paper discusses strategies for implementing PE for PTSD during the COVID-19 pandemic, which may also be applied to other situations in which physical distancing must be considered.

This study looked at effective energy usage and renewable resources to make 3D printing more environmentally friendly. The use of bio-based materials and the investigation of technological aspects that maximized the mechanical properties of 3D-printed products and assured energy cost savings were the adopted strategies. Two bio-based thermoplastics made from pure and filled polylactide acid (PLA) with wood were examined. These filaments were printed by changing the extruder temperature (from 190 to 220°C, respectively) and the printing speed (from -30% to +30% of default value) to verify the actual process conditions that allow the material to be extruded for a given printer apparatus. A dynamic mechanical analysis was performed on developed specimens. The energy consumption, to heat and melt the thermoplastics, for every combination of processing variables, was calculated. Results allowed to attest that storage modulus of printed parts and the amount of energy spent during printing were more affected by printing speed than by extruder temperatures. Particularly in the case of PLA+WOOD, by doubling the printing speed, the productivity increased by 37% despite a 30% rise in energy usage. The mechanical properties and printing accuracy did not appear to be severely impacted by an increase in printing speed from 70 to 130 mm/s at least for simple geometries and small sample sizes.

The onset of the COVID-19 pandemic disrupted many aspects of daily life and required a rapid and unprecedented shift in psychotherapy delivery from in-person to telemental health. In the present study, we explored the impact of the pandemic on individuals' ability to participate in posttraumatic stress disorder (PTSD) psychotherapy and the association between the impact of COVID-19 impact on health and financial well-being and psychotherapy participation. Participants (N = 161, 63.2% male, Mage = 42.7 years) were United States military veterans (n = 108), active duty military personnel (n = 12), and civilians (n = 6), who were participating in one of nine PTSD treatment trials. The results indicate a predominately negative COVID-19 impact on therapy participation, although some participants (26.1%) found attending therapy sessions through telehealth to be easier than in-person therapy. Most participants (66.7%) reported that completing in vivo exposure homework became harder during the pandemic. Moreover, the impact of the pandemic on PTSD symptom severity and daily stress were each associated with increased difficulty with aspects of therapy participation. The findings highlight the unique challenges to engaging in PTSD treatment during the pandemic as well as a negative impact on daily stress and PTSD severity, both of which were related to treatment engagement difficulties.

Fluorescence has been identified as an advantageous feature in smart fabrics, notably for the protection of humans during outdoor athletic activities, as well as for preventing counterfeiting and determining authenticity. Fluorescence in smart fabrics is achieved using dendrimers, rare earth metal compounds, and fluorescent dye. The principal method for producing fluorescent fabrics is to immerse the sample in a solution containing fluorescent agents. However, covalent connections between fluorophores and textile substates should be established to improve the stability and intensity of the fluorescent characteristics. Fabric can be fluorescent throughout, or fluorescent fibers can be woven directly into the textile structures, made of natural (cotton, silk) or synthetic (polyamide- and polyester-based) fibers, into a precise pathway that becomes visible under ultraviolet irradiation.

Abstract Background Apathy is among the most common behavioral symptoms in dementia and is consistently associated with negative outcomes in Alzheimer’s disease (AD). Despite its prevalence and clinical relevance, available pharmacological and non-pharmacological strategies to treat apathy in AD have been marked, respectively, by potentially severe side effects and/or limited efficacy. Transcranial direct current stimulation (tDCS) is a relatively novel non-pharmacological method of neuromodulation with promising results. Compared to previous tDCS formats, recent technological advances have increased the portability of tDCS, which creates the potential for caregiver-administered, home use. Our study aims to evaluate the feasibility, safety, and efficacy of home-based tDCS for the treatment of apathy in AD. Methods/design This is an experimenter- and participant-blinded, randomized, sham-controlled, parallel-group (1:1 for two groups) pilot clinical trial, involving 40 subjects with AD. After a brief training, caregivers will administer tDCS for participants at home under remote televideo supervision by research staff to ensure the use of proper technique. Participants will be assessed at baseline, during treatment (week 2, week 4, and week 6), and 6 weeks post-treatment. Dependent measures will cover cognitive performance, apathy, and other behavioral symptoms. Data about side effects and acceptability will also be collected. Discussion Our study will address apathy, an overlooked clinical problem in AD. Our findings will advance the field of non-pharmacological strategies for neuropsychiatric symptoms, presenting a great potential for clinical translation. Trial registration ClinicalTrials.gov, NCT04855643.

The purpose of this research was to better understand the potential degradation effects of bioderived thermoplastic polymers during fused deposition modeling (FDM). Commercially available filaments made from virgin and recycled polylactic acid (PLA) (named PLA-1 and PLA-2, respectively), as well as a wood flour/PLA composite (PLA-3), were considered. Pre-optimized conditions, satisfying the printing quality of 3D final products, at an extruder temperature of 210 °C, were used to realize samples. The main characterization techniques, were dynamic rotational rheology (in time sweep mode) and infrared spectroscopy (in attenuated total reflectance mode). These methods allowed to verify molecular modifications, occurring in the polymer structure during the 3D printing process. The storage and loss modulus, and complex viscosity over time were presented for both neat and printed specimens. A comparison between the properties of printed and unprocessed materials revealed a decrease in rheological parameters over time as well as a loss in absorbance intensity for typical absorption bands. The viscosity values of PLA-1 and PLA-2 were found to be strongly unstable, with a significant decreasing trend over time. The experimental data were modeled using an exponential decay law, and the original decline was attributed primarily to the interaction of high temperatures and shear stress. Despite the fact that degradation effects were visible in wood/PLA composite materials, such systems remained thermally more stable than pure polymers.

BackgroundComplicated grief (CG) is a bereavement-specific syndrome distinct from but commonly comorbid with posttraumatic stress disorder (PTSD). While bereavement is common among military personnel (Simon et al., 2018), there is little research on the impact of CG comorbidity on PTSD treatment outcomes.MethodsTo evaluate the impact of comorbid CG on PTSD treatment outcomes we analyzed data from a randomized trial comparing prolonged exposure, sertraline, and their combination in veterans with a primary diagnosis of combat-related PTSD (n = 194). Assessment of PTSD, trauma-related guilt, functional impairment, and suicidal ideation and behavior occurred at baseline and weeks 6, 12, and 24 during the 24-week trial.ResultsCG was associated with lower PTSD treatment response (odds ratio (OR) = 0.29, 95% confidence interval (CI) [0.12, 0.69], p = 0.005) and remission (OR = 0.28, 95% CI [0.11, 0.71], p = 0.007). Those with CG had greater severity of PTSD (p = 0.005) and trauma-related guilt (

Abstract We studied the total polyphenols, flavonoids, vitamin C, the antioxidant and anti-inflammatory activity of six Citrus monofloral honey, and the in vitro inhibitory effect against cholinesterases and tyrosinase. Finally, we assessed their effect against the biofilm of some pathogenic bacteria. Lime honey showed the best antioxidant activity and the highest content of polyphenols and vitamin C. Lemon and tangerine honey contained almost exclusively flavonoids. Lemon honey better preserved the bovine serum albumin against denaturation (IC50 = 48.47 mg). Honeys inhibited acetylcholinesterase, butyrylcholinesterase, and tyrosinase up to 12.04% (tangerine), 19.11% (bergamot), and 94.1% (lemon), respectively. Lime and clementine honey better inhibited the Listeria monocytogenes biofilm. Bergamot honey acted mainly against the Staphylococcus aureus and Acinetobacter baumannii biofilm; bergamot and tangerine honey inhibited the Pseudomonas aeruginosa biofilm particularly. Bergamot, clementine, and tangerine honey acted against Escherichia coli sessile cell metabolism. This Citrus honey exhibited in vitro prospective health benefits and is applicable for future in vivo studies.

In this work, the effect of thermal ageing on printed parts, produced using Fused Deposition Modelling (FDM) technology, was investigated. The constituting material was made from a common bio-based thermoplastic (polylactide acid, PLA) derived from waste recycling of separate collection bio-bags. The filament was extruded in a 3D printing machine using optimized processing conditions and different extruder temperatures (190°C and 210°C). Specimens were aged for various days (up to 175) in a vacuum oven at 70°C and characterized using dynamic-mechanical analysis (DMA) and infrared spectroscopy in attenuated total reflection (ATR) modality. The findings were presented in terms of storage modulus (E') at 30°C and glass transition temperature (Tg) evaluated at various heat treatment periods (50, 70, 130, 175 days). Although samples printed at 190 and 210 °C had a different initial average storage modulus (about 20%), they came to be almost the same value after 175 days of heat treatment. However, in both cases, the storage modulus (E’) at 30°C showed a non-monotonous trend as a function of ageing period, reaching a maximum in correspondence of around 80-90 days. On the contrary, an increasing trend of glass transition temperature from 65 to 70°C was confirmed in two sample series by increasing the ageing time. These outcomes were attributed to changes in physical and chemical arrangements of polymer macromolecules that occurred during the thermal treatment. The remarkable differences in absorbance peaks in ATR spectra of aged specimens were interpreted as confirmation of chemical changes induced in the polymer chain structure by heat at different treatment times.

Abstract Background Albuterol by inhalation (IH) is a common treatment for hyperkalemia in humans but its effect on blood potassium concentrations in dogs is unknown. Objective Determine whether albuterol (IH) decreases blood potassium concentrations in healthy normokalemic dogs and if effects are dose‐dependent. Animals Ten healthy dogs. Methods Prospective, crossover experimental study. Albuterol sulfate was administered at a low‐dose (90 μg) in phase I and, 7 days later, high‐dose (450 μg) in phase II. Blood potassium and glucose concentrations (measured via blood gas analyzer) and heart rates were obtained at baseline and then 3, 5, 10, 15, 30, 60, 90, 120, 180, and 360 minutes after inhaler actuation. Results Blood potassium concentrations decreased rapidly after albuterol delivery with a significant reduction compared to baseline within 30 minutes in both phases (P = .05). The potassium nadir concentration of phase I occurred at 60 minutes (mean, SD; 4.07 mmol/L, 0.4) and was significantly decreased from baseline, (4.30 mmol/L, 0.3; t(9) = 2.40, P = .04). The potassium nadir concentration of phase II occurred at 30 minutes (mean, SD; 3.96 mmol/L, 0.39) and was also significantly decreased from baseline, (4.33 mmol/L, 0.4; t(9) = 2.22, P = .05). The potassium nadir concentration decreased by 0.1 mmol/L for each 10 μg/kg increase in dose of albuterol (P = .01). Five dogs had ≥1 hyperglycemic measurement (ie, >112 mg/dL). No median heart rate was tachycardic nor was any mean blood glucose concentration hyperglycemic at any time point. Conclusion and Clinical Importance Albuterol IH decreases blood potassium concentrations in a dose‐dependent manner without clinically meaningful alterations to heart rate or blood glucose concentrations in healthy dogs. The mean decrease in potassium concentration at the high‐dose of albuterol was modest (0.38 mmol/L).

In this work, we have studied the potential application for 3D-printing of a polymer made from combining a biodegradable and biocompatible polymer (i.e., polyhydroxybutyrate, PHB) with natural bio-based fiber (i.e., cellulose). To this end, a masterbatch at 15 wt.% in filler content was prepared by melt-blending, and then this system was “diluted” with pure PHB in a second extrusion phase in order to produce filaments at 1.5 and 3 wt.% of cellulose. For comparison, a filament made of 100% virgin PHB pellets was prepared under the same conditions. All the systems were then processed in the 3D-printer apparatus, and specimens were mainly characterized by static (tensile and flexural testing) and dynamic mechanical analysis. Thermogravimetric analysis, differential scanning calorimetry, spectroscopic measurements, and morphological aspects of PHB polymer and composites were also discussed. The results showed a significant negative impact of the process on the mechanical properties of the basic PHB with a reduction in both tensile and flexural mechanical properties. The PHB–cellulose composites showed a good dispersion filler in the matrix but a poor interfacial adhesion between the two phases. Furthermore, the cellulose had no effect on the melting behavior and the crystallinity of the polymer. The addition of cellulose improved the thermal stability of the polymer and minimized the negative impact of extrusion. The mechanical performance of the composites was found to be higher compared to the corresponding (processed) polymer.

The fused deposition modeling (FDM) process, an extrusion-based 3D printing technology, enables the manufacture of complex geometrical elements. This technology employs diverse materials, including thermoplastic polymers and composites as well as recycled resins to encourage sustainable growth. FDM is used in a variety of industrial fields, including automotive, biomedical, and textiles, as a rapid prototyping method to reduce costs and shorten production time, or to develop items with detailed designs and high precision. The main phases of this technology include the feeding of solid filament into a molten chamber, capillary flow of a non-Newtonian fluid through a nozzle, layer deposition on the support base, and layer-to-layer adhesion. The viscoelastic properties of processed materials are essential in each of the FDM steps: (i) predicting the printability of the melted material during FDM extrusion and ensuring a continuous flow across the nozzle; (ii) controlling the deposition process of the molten filament on the print bed and avoiding fast material leakage and loss of precision in the molded part; and (iii) ensuring layer adhesion in the subsequent consolidation phase. Regarding this framework, this work aimed to collect knowledge on FDM extrusion and on different types of rheological properties in order to forecast the performance of thermoplastics.