Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning wavefront sensing for the James Webb Space Telescope

The fine alignment of the James Webb Space Telescope (JWST)’s 18 primary mirror segments relies on image-based wavefront sensing. Previously a convolutional neural network (CNN) produced phase estimates with around 0.37 waves RMS error, which were adequate as starting guesses for phase retrieval to accurately predict global Zernike coefficients. In contrast, our study uses a CNN to sense segment piston errors between the 18 segments. Our trained CNN model could retrieve segment piston phase errors of ±0.5 waves from a single defocused point-spread function to within 0.02 waves RMS, without the need of additional phase retrieval algorithms.
Smart Helmet using GSM GPS Technology

A motorcycle frequently called motorbike or two-wheelers, which is the most used than another form of automobiles because of its low price. But another side, this is the most unsafe automobile. The accident can happen for driving fast or drunk driving. Safety and security in vehicle traveling are a pre-eminent concern for all. With the rapid urbanization and staggering growth of transport networks like two-wheeler vehicles, safety on the roads and security on the bike has emerged as an inescapable priority for us. It has expanded the rate of accidents, which leads to several damages with loss of lives. In many circumstances, we cannot able to detect the accident's location. A helmet is a form of protecting gear worn to keep safe the head from injuries. More specifically, the helmet aids the skull in protecting the brain. A smart helmet can detect the accident's locations also save lives and makes two-wheeler driving safer from previously. This paper propounds a smart helmet system to avoid the accident. The system divides into three parts helmet circuit, automobile circuit, and mobile application. At first, the helmet circuit has IR and alcohol detection sensor. The automobile circuit has a 3-axis accelerometer, Bluetooth module, relay, and load sensor. The helmet circuit sends a signal to the automobile circuit to start if the helmet is wearied and no alcohol detects. Then the automobile circuit checks the status of the load to start. 3-axis accelerometer senses crash or hit. After detecting an accident mobile application sends the accident location automatically to police and emergency contact number via the database.
Generation of 589 nm Emission via Frequency Doubling of a Composite c-Cut Nd:YVO4 Self-Raman Laser

Intracavity frequency doubling was used to generate 589 nm emission from an acousto-optic Q-switched, double-end diffusion-bonded c-cut Nd:YVO<sub>4</sub> crystal-based Raman laser. Frequency doubling was achieved using a non-critically phase matched LBO crystal (<inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula> = 90°, <inline-formula> <tex-math notation="LaTeX">$\varphi $ </tex-math></inline-formula> = 0°). Yellow laser performance of this system using a diffusion-bonded crystal was compared to that achieved using non-diffusion-bonded c-cut Nd:YVO<sub>4</sub> crystal. The results demonstrate that the use of double-end diffusion-bonded crystals significantly improve the Raman conversion efficiency of the laser and reduce the thermal lensing effect. A maximum average output power of 3.22 W and conversion efficiency of 17% were achieved at a pulse repetition frequency of 40 kHz and with incident pump power of 18.8 W. The measured central wavelength of the laser was 589.2 nm, and the linewidth was 0.2 nm.
Patient Preferences for Preventive Healthcare During the COVID-19 Pandemic in a Large Integrated Health System

The COVID-19 pandemic caused healthcare systems and patients to cancel or postpone healthcare services, particularly preventive care. Many patients still have not received these services raising concerns about the potential for preventable morbidity and mortality. At Sutter Health, a large integrated healthcare system in Northern California, we conducted a population-based email survey in August 2020 to evaluate perceptions and preferences about where, when, and how healthcare is delivered during the COVID-19 pandemic. In total, 3351 patients completed surveys, and 42.6% reported that they would “wait until they felt safe” before receiving a colonoscopy as compared to 22.4% for a mammogram. The doctor's office was the most common preferred location for receiving vaccines/shots (79.9%), though many also reported preferring an outdoor setting or in a car (63.7%). With over 40% of patients reporting that they would “wait until they feel safe” for a colonoscopy, healthcare systems could focus on promoting other evidence-based options such a fecal-occult blood test to ensure timely colon cancer screening.
Transcriptional Activation of Biosynthetic Gene Clusters in Filamentous Fungi

Filamentous fungi are highly productive cell factories, many of which are industrial producers of enzymes, organic acids, and secondary metabolites. The increasing number of sequenced fungal genomes revealed a vast and unexplored biosynthetic potential in the form of transcriptionally silent secondary metabolite biosynthetic gene clusters (BGCs). Various strategies have been carried out to explore and mine this untapped source of bioactive molecules, and with the advent of synthetic biology, novel applications, and tools have been developed for filamentous fungi. Here we summarize approaches aiming for the expression of endogenous or exogenous natural product BGCs, including synthetic transcription factors, assembly of artificial transcription units, gene cluster refactoring, fungal shuttle vectors, and platform strains.
Classification Schemes for Open Government Data Provision

Recent studies show that open government data (OGD) initiatives are gaining more and more attention among public administrations worldwide. However, although the attention for OGD provision increases, no guidelines exist that depicts the crucial elements for OGD provision via web portals and enables that in a systematic manner. The purpose of this paper is to classify the crucial elements for OGD implementation and provision. The outcomes are three classification schemes developed by using the creativity technique of morphological boxes: one for the strategic and two for the operational dimension. This classification is grounded in the results of a multiple case study analysis and relevant literature. The classification schemes provide a structured overview of the characteristics which have to be considered when implementing and operating an OGD portal. Thus, the schemes can serve as an aid for making decisions as well as for designing the necessary portal elements. Moreover, they prepare ground for further research in this emerging field.
Hydrodynamic characteristics of the multi-level overtopping wave power device

The geometrical model was built by the computer-aided design software and imported into STAR-CCM+. Typical wave conditions in the East China Sea were used in computational fluid dynamics simulation. By observing overtopping process and recording water discharge, the relationship between wave conditions and overtopping process was obtained. Finally, the simulation was validated by comparing the theoretical and experimental results. Furthermore, an empirical model was developed to predict the water discharge.
Phytochemical and antimicrobial profile of black currant berries and leaves

The purpose of study was to identify polyphenolic compounds and antimicrobial properties in berries and leaves of black currant (Ribes nigrum L.). Black currant berries and leaves showed different characteristics. Berries had a higher levels of the studied parameters compared to leaves. Berry extracts contained 2.90 to 5.90 times more total phenolics, flavonoids, condensed tannins and gallotannins compared to leaf extracts, and total antioxidant activity was 5.82 times higher in berries than in leaves. The main flavonol found in our sample of black currant berries and leaves was quercetin, followed by myricetin, while kaempferol was present in very small amounts. The most abundant phenolic acid in berry extract was caffeic acid, while leaf extract was dominated by ferulic acid. Microbial properties of extracts were examined using eight selected indicator strains. The tested extracts showed strong antimicrobial activity, ranging from 55.82 to 199.21 mg mL-1. The results suggest that berries and leaves of black currant are a good source of polyphenolic compounds and have strong antimicrobial activity.
Fast and Intelligent Irrigation System Based on WSN

In the agricultural industry, wireless sensor networks (WSNs) can be an important tool to promote economic growth. Using network devices in agriculture has the potential to enhance the production process. One of the key challenges WSN faces is energy efficiency. A model based on the water pipeline method is proposed in order to efficiently utilize sensor nodes in agricultural production and water distribution. A water pipeline serves as an important structure for transporting potable water across a distance for consumption or irrigation. In contrast, the biggest transportation problems of water pipelines are leaks. So, water resources may be lost as a result. These pipes need real-time monitoring to prevent such problems. The wireless sensor network technique, however, is considered one of the best solutions available today for monitoring water pipelines. A detailed analysis of agriculture is provided by the model. Aspects of WSN are discussed and their agricultural use is expounded. Moreover, this paper describes the various types of applicability of existing sensor networks in the field of agriculture, along with some technical perspectives. To achieve the best power consumption and communication for the two types of range, ZigBee wireless protocols are utilized. As such, high-performance information that provides a platform for WSNs to better support agricultural production is also included in our proposed model in order to address the shortcomings of existing WSNs regarding energy efficiency. This paper presents the improvements of the proposed solution compared to other techniques in the context of energy conservation in wireless sensor networks and in the monitoring water-saving process.
Advances in Fibrin-Based Materials in Wound Repair: A Review

The first bioprocess that occurs in response to wounding is the deterrence of local hemorrhage. This is accomplished by platelet aggregation and initiation of the hemostasis cascade. The resulting blood clot immediately enables the cessation of bleeding and then functions as a provisional matrix for wound healing, which begins a few days after injury. Here, fibrinogen and fibrin fibers are the key players, because they literally serve as scaffolds for tissue regeneration and promote the migration of cells, as well as the ingrowth of tissues. Fibrin is also an important modulator of healing and a host defense system against microbes that effectively maintains incoming leukocytes and acts as reservoir for growth factors. This review presents recent advances in the understanding and applications of fibrin and fibrin-fiber-incorporated biomedical materials applied to wound healing and subsequent tissue repair. It also discusses how fibrin-based materials function through several wound healing stages including physical barrier formation, the entrapment of bacteria, drug and cell delivery, and eventual degradation. Pure fibrin is not mechanically strong and stable enough to act as a singular wound repair material. To alleviate this problem, this paper will demonstrate recent advances in the modification of fibrin with next-generation materials exhibiting enhanced stability and medical efficacy, along with a detailed look at the mechanical properties of fibrin and fibrin-laden materials. Specifically, fibrin-based nanocomposites and their role in wound repair, sustained drug release, cell delivery to wound sites, skin reconstruction, and biomedical applications of drug-loaded fibrin-based materials will be demonstrated and discussed.
Finite element analysis of damage and failure of reinforced concrete members under earthquake loading

This paper presents a three‐dimensional analysis framework, based on the explicit finite element method, for the simulation of reinforced concrete components under cyclic static and dynamic loading. A recently developed triaxial constitutive model for concrete is combined with a material model for reinforcing steel which can account for rupture due to low‐cycle fatigue. The reinforcing bars are represented with geometrically nonlinear beam elements to account for buckling of the reinforcement. The strain penetration effect is also accounted for in the models. The modeling scheme is used in a commercial finite element program and validated with the results of experimental static and dynamic tests on reinforced concrete columns and walls. The analyses are supplemented with a parametric study to investigate the impact of several modeling assumptions on the obtained results.
Holographic design of leaky‐wave antenna with gain controlled four beams

In this article, a holographic design of leaky‐wave antenna (LWA) with gain controlled 4 beams using artificial impedance surface (AIS) is presented. The AIS is composed of sub‐wavelength patches which have small physical sizes and less loss. Based on the principle of the holographic theory, the radiation pattern with 4 beams can be obtained with the AIS excited by the reference wave. By adjusting the amplitude coefficients of the modulation depth of each beam, the gain of each beam can be effectively controlled. For validating the analysis, a prototype is fabricated and measured. The results show that the proposed method is an efficient way to design gain controlled 4‐beam LWA.
‘The Green New Deal’ as partisan cue: Evidence from a survey experiment in the rural U.S.

ABSTRACT Recent research suggests that public support for climate action can be increased by bundling environmental policy with social and economic programs – the Green New Deal being one of the most widely known iterations of this strategy. Yet, party cue theory suggests that public support for the policy will be shaped by the strong Democratic associations of the proposal. In a preregistered survey experiment conducted among 1,203 residents of the rural western United States, I find strong evidence that the phrase ‘the Green New Deal’ functions as a partisan cue, lowering support for a bundled climate policy among rural residents by 9.1 percentage points. This depressive effect is robust even when framing around region-specific climate impacts is added to the survey question.
Preparation and Optimization of an Ultraflexible Liposomal Gel for Lidocaine Transdermal Delivery

The pain caused by lidocaine injections into the face prior to facial plastic surgeries intended to remove growths or tumorous lesions has been reported by many patients to be the worst part of these procedures. However, the lidocaine gels and creams currently on the market do not deliver an equal or better local anesthetic effect to replace these injections. To develop an alternative to the painful local anesthetic injection, we prepared ultraflexible liposomes using soy phosphatidylcholine, lidocaine, and different amounts of sodium cholate, a surfactant. The prepared ultraflexible liposomes (UFLs) were examined for particle size, zeta potential, cytotoxicity, and in vitro release. By using a carbomer as a gelling agent, the prepared UFL lidocaine gels were evaluated for their penetration ability in a Franz diffusion cell, using Strat-M membranes. The formulation achieving the highest amount of penetrated lidocaine was chosen for further pH, viscosity, and stability tests. The local anesthetic efficacy of the formulation was investigated by an in vivo tail-flick test in rats. Our findings suggested that this topical gel formulated with ultraflexible liposomal lidocaine has enhanced skin permeation ability, as well as an improved local analgesic effect from the lidocaine.
Zofenopril antitumor activity in mice bearing Ehrlich solid carcinoma: Modulation of PI3K/AKT signaling pathway

Angiotensin-II (AgII) is thought to be crucial for tumor growth and progression. Moreover, hydrogen sulfide (H 2 S) performs a controversial action in cancer pathology. Zofenopril (ZF) is an angiotensin-converting enzyme (ACE) inhibitor with H 2 S donating properties. Hence, this study aims at investigating the tumor suppressor activity of ZF and elucidating the involved trajectories in Ehrlich’s solid tumor (EST)-bearing mice. EST was induced by the intradermal injection of Ehrlich’s ascites carcinoma cells into femoral region. All parameters were assessed after 28 days post-inoculation or one-week thereafter. ZF treatment resulted in significant reduction of tumor weights with marked decrease in IL-6 and VEGF levels in serum, and tumor Ag II and CEA contents. Additionally, the administration of ZF downregulated the tumor gene expression of cyclin-D, ACE-1, and Bcl2 and upregulated the proapoptotic gene, BAX. Moreover, ZF increased CBS gene expression, which is a major contributor to cellular H 2 S production. In addition, ZF was able to reduce the protein expression of PI3K, p AKT, p GSK-3β, and NFκB. Our study has provided novel insights into the possible mechanisms by which ZF may produce its tumor defeating properties. These intersecting trajectories involve the interference between PI3K/Akt and CBS signaling pathways.
Optimized LPDA Antenna for IoT Applications

In this new era of fast-growing industry revolution, IoT has become integral part of most industries. In this paper, a high directivity printed log periodic dipole array (LPDA) antenna printed on a FR4 substrate is proposed for the application of IoT communication. The simulation result of NSGA-II optimized antenna is then compared and validated with another optimization scheme, MOEA\D algorithm. The simulation results demonstrate that the proposed antenna has low sidelobe level of -13.9dB with the VSWR < 2 across the dual bandwidth of 0.3027 GHz and 5.6289 GHz from 4.2166 GHz to 4.5193 GHz and 5.8412 GHz to 11.47 GHz respectively. The proposed antenna has achieved a new low side lobe level of -13.9 dB. It is also possesses a wide bandwidth which enhanced from 2.52GHz to the dual bandwidth of 0.3027 GHz and 5.6289 GHz on 4.2166 GHz to 4.5193 GHz and 5.8412 GHz to 11.47 GHz respectively. It has a good realized gain of 8.42dBi with the increment of 1.42dBi after optimization. The multi objective genetic algorithm optimizes the realized gain, directivity, sidelobe level, bandwidth, standing wave ratio of the proposed antenna which is well suited for practical applications in physical layer IoT communication.
Intelligent and Reliable Millimeter Wave Communications for RIS-Aided Vehicular Networks

Utilizing the millimeter-wave (mmWave) frequency is a promising solution to meet fast-growing traffic demand over wireless networks. However, mmWave communications are sensitive to physical obstructions on signal propagation. In this paper, the reconfigurable intelligent surfaces (RISs) are investigated to overcome the limitations of mmWave communications. Particularly, an RIS is deployed to reflect the mmWave signals towards vehicular users who experience direct link blockages that may occur due to static or dynamic obstacles. To this end, a risk-averse optimization problem is designed to optimize the Base Station (BS) precoding matrix and the RIS phase shifts under stochastic link blockages. A solution approach is developed in two phases: the BS precoding optimization and the RIS phase shift control phases. In the first phase, a Decomposition and Relaxation-based Precoding Optimization (DRPO) algorithm is developed to obtain the optimal precoding matrix. In the second phase, a learning-based method is introduced to dynamically adjust the direction of reflected signals under channel uncertainty. Extensive simulations are presented to validate the efficacy of the developed algorithms. The obtained results show that the developed algorithms can ensure reliable transmissions to users in non-LoS areas and improve network performance.
Teacher Uneasiness and Workplace Learning in Social Sciences: Towards a Critical Inquiry from Teachers’ Voices

The educational parameters of neoliberal schools have transformed traditional social expectations about teachers. As some authors have suggested, “teacher uneasiness” is an appropriate category of analysis to understand and interpret the effects that such expectations can have on teachers’ professional identity. In this research, autoethnography was specifically chosen as an investigative and, at the same time, formative modality, ideal for determining the way in which a Social Sciences teacher in Spanish secondary education experiences his own uneasiness. According to the information in the teacher/researcher’s diary, collected during fieldwork carried out over two years, and processed by content analysis, this phenomenon can be generated by causes that are still unnoticed in the existing literature. Specifically, we could identify up to four subcategories from the data itself: the weight of tradition; daily overexertion; no time; and resignation after wear and tear. We conclude with vindications both of the theoretical category used, and of the usefulness of autoethnography in this type of empirical project. In any case, we also recommend new research that allows us to compare and expand the results and conclusions obtained herein.
Lipoedema: detailed left atrial volumetric and strain analysis by three-dimensional speckle-tracking echocardiography from the MAGYAR-Path Study

Introduction Lipoedema is a chronic feminine disease with disproportional painful fat deposition of the lower body half and occassional arm affection. Aim The objective of the present study was to assess LA volumetric and functional properties by three-dimensional speckle-tracking echocardiography (3DSTE) in patients with lipoedema and to compare their results to age- and gender-matched healthy controls. It was also aimed to examine whether one-hour use of medical compression stockings (MCS) has any effect on LA volumes and functional properties. Material and methods The study comprised 25 female patients with stage 2 lipoedema (mean age: 42.5 ±12.2 years). Their results were compared to those of the control group consisting of 54 age- and gender-matched healthy female subjects (mean age: 42.7 ±10.6 years) without classic risk factors. Results Increased LA volumes could be measured in lipoedema patients as compared to controls regardless of the phase of the cardiac cycle it was measured in, and the LA volumes showed further increase after 1-hour use of MCS. Similarly, LA total and active stroke volumes and LA passive emptying fraction were increased in lipoedema patients, and these parameters were further increased in systole and early-diastole. Peak global radial and 3D strains were increased in lipoedema patients. Peak global longitudinal strain increased in lipoedema patients after one-hour use of MCS compared to data measured at rest. Conclusions Lipoedema is associated with increased LA volumes and changes in LA functional properties. The use of MCS further increases some of the LA volumetric parameters.