Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the physiological effect of non-driving-related task performance in conditionally automated driving systems: A systematic review and meta-analysis protocol

Background Level 3 automated driving systems involve the continuous performance of the driving task by artificial intelligence within set environmental conditions, such as a straight highway. The driver's role in Level 3 is to resume responsibility of the driving task in response to any departure from these conditions. As automation increases, a driver's attention may divert towards non-driving-related tasks (NDRTs), making transitions of control between the system and user more challenging. Safety features such as physiological monitoring thus become important with increasing vehicle automation. However, to date there has been no attempt to synthesise the evidence for the effect of NDRT engagement on drivers’ physiological responses in Level 3 automation. Methods A comprehensive search of the electronic databases MEDLINE, EMBASE, Web of Science, PsycINFO, and IEEE Explore will be conducted. Empirical studies assessing the effect of NDRT engagement on at least one physiological parameter during Level 3 automation, in comparison with a control group or baseline condition will be included. Screening will take place in two stages, and the process will be outlined within a PRISMA flow diagram. Relevant physiological data will be extracted from studies and analysed using a series of meta-analyses by outcome. A risk of bias assessment will also be completed on the sample. Conclusion This review will be the first to appraise the evidence for the physiological effect of NDRT engagement during Level 3 automation, and will have implications for future empirical research and the development of driver state monitoring systems.
Carbonization of Biopolymers as a Method for Producing a Photosensitizing Additive for Energy Materials

It has been shown that defect-free Stone–Wales (SW) free few-layer graphene (FLG) can be obtained by carbonizing lignin under conditions of self-propagating high-temperature synthesis (SHS). The obtained few-layer graphene was used as a modifying additive for pyrotechnic compositions. It was found that the addition of 2.5 mass % of few-layer graphene synthesized from lignin to a pyrotechnic complex based on porous silicon and fluoropolymer leads to a significant increase in the combustion intensity of pyrotechnic compositions.
Hospital Memories and Six-Month Psychological Outcome: A Prospective Study in Critical Ill Patients with COVID-19 Respiratory Failure

ICU survivors suffer from various long-term physical and psychological impairments. Memories from the critical illness may influence long-term psychological outcome. In particular, the role of ICU memories in COVID-19 critically ill patients is unknown. In a prospective observational study, we aimed to investigate patients’ memories from the experience of critical illness and their association with a six-month psychological outcome involving quality of life evaluation. Patients’ memories were investigated with ICU Memory tool, while psychological outcome and quality of life were evaluated by means of a battery of validated questionnaires during an in-person interview at the follow-up clinic. 149 adult patients were enrolled. 60% retained memories from pre-ICU days spent on a general ward, while 70% reported memories from the in-ICU period. Delusional memories (i.e., memories of facts that never happened) were reported by 69% of patients. According to a multivariable analysis, the lack of pre-ICU memories was an independent predictor of worse psychological outcomes in terms of anxiety, depression and Post-traumatic Stress Disorder (PTDS). Factors associated with long-term outcome in ICU survivors are not still fully understood and patients’ experience during the day spent before ICU admission may be associated with psychological sequelae.
Structural Dynamics Predominantly Determine the Adaptability of Proteins to Amino Acid Deletions

The insertion or deletion (indel) of amino acids has a variety of effects on protein function, ranging from disease-forming changes to gaining new functions. Despite their importance, indels have not been systematically characterized towards protein engineering or modification goals. In the present work, we focus on deletions composed of multiple contiguous amino acids (mAA-dels) and their effects on the protein (mutant) folding ability. Our analysis reveals that the mutant retains the native fold when the mAA-del obeys well-defined structural dynamics properties: localization in intrinsically flexible regions, showing low resistance to mechanical stress, and separation from allosteric signaling paths. Motivated by the possibility of distinguishing the features that underlie the adaptability of proteins to mAA-dels, and by the rapid evaluation of these features using elastic network models, we developed a positive-unlabeled learning-based classifier that can be adopted for protein design purposes. Trained on a consolidated set of features, including those reflecting the intrinsic dynamics of the regions where the mAA-dels occur, the new classifier yields a high recall of 84.3% for identifying mAA-dels that are stably tolerated by the protein. The comparative examination of the relative contribution of different features to the prediction reveals the dominant role of structural dynamics in enabling the adaptation of the mutant to mAA-del without disrupting the native fold.
Penetration of magnetosheath plasma into dayside magnetosphere: 2. Magnetic field in plasma filaments

In this paper, we examined plasma structures (filaments), observed in the dayside magnetosphere but containing magnetosheath plasma. These filaments show the stable antisunward motion (while the ambient magnetospheric plasma moved in the opposite direction) and the existence of a strip of magnetospheric plasma, separating these filaments from the magnetosheath. These results, however, contradict both theoretical studies and simulations by Schindler (1979), Ma et al. (1991), Dai and Woodward (1994, 1998), and other researchers, who reported that the motion of such filaments through the magnetosphere is possible only when their magnetic field is directed very close to the ambient magnetic field, which is not the situation that is observed. In this study, we show that this seeming contradiction may be related to different events as the theoretical studies and simulations are related to the case when the filament magnetic field is about aligned with filament orientation, whereas the observations show that the magnetic field in these filaments may be rotating. In this case, the rotating magnetic field, changing incessantly its direction, drastically affects the penetration of plasma filaments into the magnetosphere. In this case, the filaments with rotating magnetic field, even if in each moment it is significantly inclined to the ambient magnetic field, may propagate through the magnetosphere, if their average (for the rotation period) magnetic field is aligned with the ambient magnetic field. This shows that neglecting the rotation of magnetic field in these filaments may lead to wrong results.
Synchrotron Mössbauer source

M\"ossbauer radiation was generated by synchrotron x rays for use in M\"ossbauer absorption and scattering spectroscopy. Like a conventional M\"ossbauer source, the synchrotron M\"ossbauer source (SMS) emits single-line radiation of about natural linewidth, but in addition the emitted radiation is fully recoilless, highly directed, and of pure linear polarization. First M\"ossbauer transmission spectra were measured with common resonance absorbers including stainless steel, iron, and Invar. Applications of the SMS are discussed.
Polarization reconfigurable patch antenna with electric current disturbance

A polarization reconfigurable patch antenna with electric current disturbance is proposed in this paper. The proposed antenna mainly consists of a rhombus-shaped patch with a single feed, two conductive pads with a via hole, and two PIN diodes. The antenna can produce the linear polarization (LP), right-hand circular polarization (RHCP), and left-hand circular polarization (LHCP) by adjusting bias state of two PIN diodes. Besides, positions of the PIN diodes help that a bias circuit can be simply designed. The fabricated antenna provides a 10-dB bandwidth of 50 MHz in the two-off state of PIN diodes (LP, 2.635–2.685 GHz), 60 MHz in the two-on state of PIN diodes (LP, 2.625–2.685 GHz), 100 MHz in the RHCP and LHCP (2.57–2.67 GHz). Besides, it has −3 dB axial ratio bandwidth of 55 MHz in the circular polarization states. Details of the antenna design are shown, and the simulated and measured results for the constructed prototype are also presented and discussed.
Removal of Pathogenic Bacteria from Water Using Pomegranate Peels

D ESPITE expensive treatment procedures designed to eliminate harmful germs from drinkable water supplies and waterborne illnesses, they still pose a threat to public health. The current investigation is concerned with the removal of Gram-positive and Gram-negative pathogenic bacteria from aqueous solutions. The abundant and inexpensive natural resource, pomegranate dry peel (PDP), and its activated carbon (PDPAC) have been used as bio-adsorbents. Phosphoric acid (30%) was used to chemically activate the carbon at 800 ºC. The optimum contact time was 60min for the dry peel and 40min for the activated carbon at a pH range of 7.0 to 7.5 and 30 to 35ºC processing temperature. The adsorption isotherm of different bacteria was determined for both adsorbents and analyzed by three common isotherm models. The equilibrium results have matched well to the Langmuir equation and the maximal monolayer adsorption capacity was 12500, 14286, 20000, 1000 CFU/g with PDP and 25000, 25010, 33343, 20000 CFU/g with PDPAC for E. coli, S. enterica, S. aureus , and E. faecalis, respectively. This research can be applied in the treatment stages of water treatment plants, sewage treatment plants, and household filters as a low-cost adsorbent material to remove pathogenic bacteria, antibiotic-resistant bacteria, and
Predicting Pregnancy Outcome in Dairy Cows: The Role of IGF-1 and Progesterone

Simple Summary This study aimed to determine the levels of various hormones and metabolites in the blood of Holstein dairy cows during the crucial transition period, 7 days before parturition and a further 14 and 21 days postparturition, exploring the link between pregnancy probability after first artificial insemination and during the first 100 days in milk. The cows were split into two subgroups, those that were diagnosed as pregnant and those that did not conceive after further attempts at artificial insemination. The results showed that the levels of IGF-1 and progesterone exhibited significant differences among the two subgroups, which could have a diagnostic value in predicting pregnancy. These findings are relevant for dairy farm management, as they provide new information about the hormones and metabolites that affect the health and reproductive performance of dairy cows. Abstract The purpose of this study was to determine the link between insulin-like growth factor 1 (IGF-1), progesterone (PROG), non-esterified fatty acids (NEFAs), β-hydroxybutyrate (BHB), and glucose (GLU) and pregnancy probability after the first artificial insemination (AI) and during the first 100 days in milk (DIM), during the critical transition period. We determined levels of serum IGF-1, PROG, NEFA, BHB, and GLU in Holstein dairy cows via ELISA, using blood samples collected 7 days before parturition (DAP) until 21 days postparturition (DPP). The group was split into cows diagnosed pregnant at 100 DIM (PREG) and those that did not conceive at 100 and 150 DIM (NPREG). Serum IGF-1 and PROG median levels at 7 DAP were significantly higher in PREG vs. NPREG (p = 0.029), the only statistically significant differences across the subgroups. At 7 DAP, IGF-1 levels within the initial group showed a strong negative correlation with PROG (r = −0.693; p = 0.006), while for the PREG subgroup, the IGF-1 levels exhibited a very strong positive correlation with GLU (r = 0.860; p = 0.011) and NEFA (r = 0.872; p = 0.013). IGF-1 and PROG levels detected at 7 DAP may be useful to predict pregnancy at 100 DIM. The positive correlation of NEFA and GLU levels during the transition period demonstrates that the initial group is not in NEB; thus, the NEFA level was not a decisive factor for reproduction success.
PHARMACOKINETIC STUDY IN HUMANS AND IN VITRO EVALUATION OF BIOENHANCED BILAYER SUBLINGUAL FILMS FOR THE MANAGEMENT OF ACUTE MIGRAINE

Objective: Long-lasting migraine pain is one of the most disabling neurological disorders and requires a quick onset of action from the administered dosage form. This study aimed to provide sublingual administration of the frequently used combination of NSAID and triptan in order to trigger their action immediately by escaping the first-pass metabolism, simultaneously improving patient compliance. Methods: In the present research, sublingual bilayer films were developed by joining the two loaded layers with zolmitriptan and piroxicam, respectively. Each layer was prepared and loaded separately using the traditional solvent casting method. Mechanical support was provided by the 1:1 combination of HPMC E-15 and pullulan, which were used as water-soluble film-forming polymers with polyethylene glycol 400 as a plasticizer. Films were evaluated for various physicochemical and mechanical properties. Finally, a pharmacokinetic study was performed on six healthy human volunteers to compare the PK parameters of the best formulation, BSTF-3, with those of a commercially available formulation. Sepitrap 80 and Sepitrap 4000 were used as bio-enhancers to achieve faster systemic delivery. Results: The thin, flexible bilayer films were observed to provide quick action alone with increase patient compliance by preventing the first-pass metabolism and dysphagia. Sepitrap 80 successfully increased the permeation of both drugs. Approximately 92 percent of zolmitriptan was released from the formed bilayer sublingual thin films within 3 min, whereas 92 percent of piroxicam was released within 4.5 min from the best formulation. Within 30 min of the commencement of the pharmacokinetic investigation, plasma concentrations of the active component began to rise rapidly. Conclusion: When compared to commercial formulations, the developed films had a greater AUC and Cmax with a shorter Tmax, indicating a faster trigger of action and higher bioavailability.
Design of Printing Parameter Settings Methodology for FFF Printing of Waterproof Samples from a Flexible Material

: 3D printing technology plays a key role in the design of prototypes and final parts. The ability to quickly and easily produce almost any shape using the Fused Filament Fabrication (FFF) method is used in almost every industrial sector, science and research. Materials for the FFF method can be divided into two groups, namely rigid and flexible. Flexible materials, in combination with pneumatics or hydraulics, offer a wide range of applications. However, in the FFF method, where individual fibers are stacked on each other and side by side, the question arises of whether the fibers will bond sufficiently to prevent water or air from passing through. This paper aims to design a methodology for the printing parameters of an FFF printer when printing from flexible materials to ensure that the filaments bond sufficiently for the printed part's water and air tightness. The proposed methodology is verified on printed samples by two tests, namely waterproof and airtightness tests. Two of the most commonly used highly flexible materials, namely TPU 30D and TPE 88, were selected for testing. The results of the work are intended to help the designers and technologists to calibrate the printing parameters for the printing of flexible materials for use in pneumatics or hydraulics.
The promise and limitations of formal privacy

Differential privacy (DP) is in our smart phones, web browsers, social media, and the federal statistics used to allocate billions of dollars. Despite the mathematical concept being only 17 years old, differential privacy has amassed a rapidly growing list of real‐world applications, such as Meta and US Census Bureau data. Why is DP so pervasive? DP is currently the only mathematical framework that provides a finite and quantifiable bound on disclosure risk when releasing information from confidential data. Previous concepts of data privacy and confidentiality required various assumptions about how a bad actor might attack sensitive data. DP is often called formally private because statisticians can mathematically prove the worst‐case scenario privacy loss that could result from releasing information based on the confidential data. Although DP ushered in a new era of data privacy and confidentiality methodologies, many researchers and data practitioners criticize differentially private frameworks. In this paper, we provide readers a critical overview of the current state‐of‐the‐art research on formal privacy methodologies and various relevant perspectives, challenges, and opportunities.
Postoperative Pulmonary Complications and Perioperative Strategies: A Systematic Review

The occurrence of postoperative pulmonary complications (PPCs) is frequently observed and has been linked to elevated levels of morbidity and mortality, which have adverse effects on both clinical and financial outcomes in healthcare settings. This systematic review aims to present the evidence that supports our comprehension of PPCs and emphasize the circumstances that necessitate the use of postoperative noninvasive ventilation (PNIV) or re-intubation with postoperative mechanical ventilation (POMV). A search was conducted on the National Library of Medicine's Pubmed database and Cochrane Library until November 29, 2020, to find published reports of randomized control trials (RCTs) that assessed postoperative pulmonary complications. Data related to the prevalence of PPCs and the use of PNIV, POMV, and length of hospital stay were extracted from all the studies. For the analysis, a total of 13 studies involving 6,609 patients were included, and out of these, four RCTs reported statistically significant results. The use of protective lung ventilation (PLV) with low tidal volume and positive end-expiratory pressure (PEEP) during intraoperative ventilation, along with pressure-controlled (PCV) ventilation, as well as the postoperative ventilation strategy of continuous positive airway pressure (CPAP) combined with standard oxygen therapy were the only techniques that demonstrated a clear reduction in the incidence of PPCs. Furthermore, the use of PLV with low tidal volume and PEEP and intraoperative mechanical ventilation with a vital capacity maneuver followed by 10 cm H2O of PEEP were found to decrease the requirement for postoperative noninvasive ventilation. CPAP with standard oxygen therapy was the only intervention that reduced the need for reintubation. Various ventilation strategies are available for both intraoperative and postoperative periods with the goal of decreasing the need for postoperative noninvasive ventilation (PNIV) or re-intubation with postoperative mechanical ventilation (POMV).
Symptom Clusters, Psychological Distress, and Quality of Life in Patients with Atrial Fibrillation

Background: Patients with atrial fibrillation (AF) experience diverse symptoms such as palpitations, dizziness, and fainting that lead to depression, anxiety, and poor quality of life. Management of symptoms is fundamental for AF, and with the increasing prevalence of AF, studies on management of symptoms in patients with AF are needed. Objectives: This study aimed to assess symptom clusters according to symptom severity in patients with atrial fibrillation and evaluate the relationships between symptom cluster groups and the psychological distress and quality of life of these patients. Design: A descriptive survey was used in this study. Methods: A total of 175 patients were included in this study. Data regarding symptoms, psychological distress, and quality of life were obtained using structured questionnaires and analyzed using frequency and percentage, mean and standard deviation, cluster analysis, t-testing, Chi-square testing, Pearson’s correlation coefficient, and multiple regression analysis. The Euclidean distance square of the hierarchical cluster was used to form symptom cluster groups. Results: Two groups of symptom clusters were formed based on the seven most common symptoms (i.e., chest palpitations, fatigue/tiredness, dizziness, lack of energy, pulse skipping, insomnia, and heavy breathing) of atrial fibrillation patients. Psychological distress and quality of life showed significant correlations with the symptom cluster groups (p < 0.001). Conclusion: Symptoms of atrial fibrillation increased patients’ depression and anxiety, and further affected their quality of life. Therefore, management of symptoms is critical to maintaining a high quality of life. Nursing interventions based on the characteristics of symptom cluster groups must be developed and attempted.
Part-based Representation and Editing of 3D Surface Models

The idea that a complex object can be decomposed into simpler parts is fundamental to 3D design, so it is clearly desirable that digital representations of 3D shapes incorporate this part information. While solid modeling techniques based on set-theoretic volumetric composition intrinsically support hierarchical part-based shape descriptions, organic objects such as a human vertebra are more efficiently represented by surface modeling techniques. And although a human observer will easily identify part decompositions in surface models, the homogenous graphs of connected points and edges used in surface representations do not readily support explicit part decompositions. In this thesis, I will develop a part-based representation for 3D surface models. In abstract mathematics, a surface part can be represented as a deformation of a Riemannian manifold. To create a practical implementation, it is necessary to define representations of the 3D part shape and the region on the target surface where the part is to be placed. To represent the part region I will develop the Discrete Exponential Map (DEM), an algorithm which approximates the intrinsic normal coordinates on manifolds. To support arbitrary part shapes I will develop the COILS surface deformation, a robust geometric differential representation of point-sampled surfaces. Based on this part definition, I will then propose the Surface Tree, which makes possible the representation of complex shapes via a procedural, hierarchical composition of surface parts, analogous to the trees used in solid modeling. A major theme throughout the thesis is that part-based approaches have the potential to make surface design interfaces significantly more efficient and expressive. To explore this question and demonstrate the utility of my technical contributions, I present three novel modeling tools: an interactive texture design interface, a drag-and-drop mesh composition tool, and a sketch-based Surface Tree modeling environment. In addition to comparative algorithmic evaluations, and a consideration of representational capabilities, I have evaluated this body of work by publicly distributing my modeling tools. I will close the thesis with a discussion of the extensive feedback provided by users of my drag-and-drop mesh composition tool, called meshmixer. This feedback suggests that part-based approaches have significant benefits for surface modeling.