Miracle-dz/UniFAR-FTUs huggingface dataset:
Seismic Hazard Evaluation of the North and Northwest Iranian Plate Considering the Bayesian Perspective

In the last hundred years alone, there have occurred more than 2000 earthquakes larger than 4 in the northern and northwestern parts of Iran. Because Iran is placed in the heart of the Alpine-Himalayan collision zone, which is one of the world’s greatest seismic locations, massive earthquakes have regularly struck the country. Seismic hazard assessment is a realistic and helpful method for engineering seismology to prevent motions in a location in order to forecast the occurrence of earthquakes. For parameter estimation in seismic hazard assessments, the Bayesian probability theory provides a practical and accurate technique. As a result, Bayesian techniques for analysis are based on an older method. Furthermore, they have the unique capacity to account for the variability of characteristics in probabilistic relationships. In this assessment, we used the Bayesian earthquake risk estimation program developed by Lyubushin. Our research is in the sequence of applications of this program to assess the risk of earthquakes in various parts of the universe. In this method, the basic assumption is that earthquakes follow the characteristic of being Poisson. Its zoning map is drawn in the north and northwest regions of Iran. The highest value was obtained for the city of Tabriz with 0.29 galls, and the lowest value was obtained for the city of Zanjan with the value of 0.06 galls.
Public service media for better democracies: Testing the role of perceptual and structural variables in shaping citizens’ evaluations of public television

As PSM change and adapt –with variable outcomes– to a digital and multiplatform environment, their roles and functions are overly under severe scrutiny. The normative expectations of PSM and their performance have been extensively discussed from a theoretical and regulatory approach, but studies from an audience perspective are still rather scarce. If PSM's primary stakeholder is to be considered the citizenship it serves, it is, therefore, vital to understand what is valuable to society and how citizens assess PSM's performance. Drawing upon representative survey data from Spain (N = 1717), this study examines the role played by structural and perceptual variables in accounting for the citizen's assessment of the national public broadcaster (TVE), considering six roles: watchdog, analysis, mobilization, public forum, social empathy, and information. Findings first indicate that perceptions of independence and citizens' evaluation of TVE's journalists are positively associated with all dimensions of TVE evaluations. However, when exploring the role of political knowledge, results indicate a negative association with some of PSM's most critical functions. All in all, our research illustrates that, despite all the changes in the media landscape, when it comes to delivering the news, citizens seem to stick to values traditionally associated with PSM: independent and qualified journalism trained for and committed to the public service of delivering accurate and unbiased information.
A chipless RFID tag for smart temporal applications

A compact, robust, chipless radio frequency identification (RFID) tag is proposed. Resonant elements patterned in a concentric fashion encode data in the spectral domain employing frequency shift encoding. The proposed tag encodes 28.25 data bits over a miniscule physical footprint of 25 × 25 mm2. The formulated scheme is demonstrated to be viable for encoding of temporal variables. The electromagnetic performance of the presented design is investigated for different laminates: Rogers RT/duroid® 5880 and Taconic TLX‐0. Multiple tag prototypes employing a variety of substrates are realized and evaluated for in‐laboratory performance. The proposed design is compared with existing work reported in literature. Code density of 4.52 bits/cm2 has been successfully achieved. The tag design operates from 3.07 to 10.6 GHz and is readily realizable on flexible laminates. Smart retail, intelligent packaging, adaptive ticketing, and similar time‐related applications can be materialized using the proposed tag.
A Novel Model of Interaction Dynamics between Legged Robots and Deformable Terrain

Navigating natural environments with deformable terrain is a difficult challenge in robotics. Understanding the interaction dynamics between robots and such terrain is an important first step in enabling them to explore these environments. Terramechanics models are largely developed and tested on wheeled and tracked platforms, but with the advent of readily available lightweight legged robots, developing an understanding of how robot feet interact with the terrain becomes increasingly important. Works on estimating terramechanical properties of deformable sands and soils use an underlying assumption that translation of the robot foot along the surface of the terrain is due to internal shear deformation of the soil. We show that for lightweight legged robots, this is not the case. Shear forces acting on the foot of a robot during a stride are not accurately predicted by the widely-used Janosi-Hanamoto formula. We propose a new model in which two forces acting on the foot dominate the foot-terrain interaction - gross sliding friction and bulldozing resistance - and propose a model of how these forces act on the foot. We test this model on multiple soil types with different foot materials. Experimental data, collected on a testbench equipped with actuators and sensors identical to those deployed on a robot in the field, is used to validate our proposed model.
A Review of GaN MMIC Power Amplifier Technologies for Millimeter-Wave Applications

SUMMARY GaN microwave monolithic integrated circuit (MMIC) power ampliﬁers (PAs) technologies for millimeter-wave (mm-wave) applications are reviewed in this paper. In the mm-wave band, GaN PAs have achieved high-output power as much as traveling wave tube ampliﬁers used in satellite communications. Additionally, GaN PAs have been integrated enough to be used for 5G and Beyond-5G. In this paper, a high accuracy large-signal GaN-HEMT modeling technique including the trapping e ﬀ ects is introduced in mm-waves. The prototyped PAs designed with the novel modeling technique have achieved RF performance comparable to that of the state-of-the-art GaN PAs in mm-wave.
Excellent temperature stability of energy storage performance by weak dipolar interaction strategy

High-performance dielectric materials are widely used in energy storage applications, and temperature stability at extreme conditions is rarely considered yet. In this work, the Bi0.5Na0. 5TiO3–Sr0.7Bi0. 2□0.1TiO3– xNaNbO3 ( x = 0, 0.05, and 0.15) system is designed with a room-temperature ergodic relaxor character to explore energy storage evolution with temperature. The addition of NaNbO3 increases tetragonal ( P4bm) phase content and relaxor disorders and leads to a downshift of transition temperature, as verified by Rietveld refinement, dielectric analysis, and in situ Raman spectra. Superior temperature stability of recoverable energy storage density ( WRec, change rate: δ ≤ 14%) and efficiency ( η = 0.79–0.98) is found in x = 0.15 composition in a wide temperature range of 243–373 K, in contrast to a significant variation for x = 0 ( δ ≤ 85%, η = 0.08–0.88) and 0.05 ( δ ≤ 36%, η = 0.60–0.96) compositions. The dielectric relaxation speed is faster in x = 0.15, as characterized by on–off-electric field dielectric curves. This work demonstrates that the weak-dipolar-interaction system retards dipolar coalescence under cryogenic temperature and, thus, maintains high energy storage efficiency, which predicts their suitability in energy storage applications at an extreme condition.
Autopsy versus Clinical Decisions Regarding Causes of Maternal Death in Iraq

Background: Complications during pregnancy and childbirth are a leading cause of death and disability among women in developing countries. The target for mortality reduction is important, yet accurate data of maternal mortality remains challenging as reporting errors including misclassification of cause of death continue to pose a major challenge. Objectives: This study aimed to identify if there is any discrepancy between clinical and autopsy causes of maternal death. Methods: A review of all maternal deaths records that had two sources for registered cause of death; one made by the obstetrician depending on clinical setting and the other by forensic medicine after autopsy and search for any discrepancies between the two sources. Results: A total of 468 maternal death reports were reviewed; the discrepancies were more with the second commonest cause of maternal death in Iraq which is pulmonary embolism. The review revealed that 10.1% of those clinically died because of pulmonary embolism turned to be dead from other causes; 8.7% of them from postpartum hemorrhage, and the rest from sepsis and other indirect causes. Conclusion: There is a substantial discrepancy between clinical and autopsy causes of maternal death which necessitates asking for autopsy in cases of maternal mortality of uncertain cause. The use of maternal death review within 3–6 weeks of death as a tool to identify causes of maternal deaths is recommended.
Watch out for the Robot! Designing Visual Feedback Safety Techniques When Interacting With Encountered-Type Haptic Displays

Encountered-Type Haptic Displays (ETHDs) enable users to touch virtual surfaces by using robotic actuators capable of co-locating real and virtual surfaces without encumbering users with actuators. One of the main challenges of ETHDs is to ensure that the robotic actuators do not interfere with the VR experience by avoiding unexpected collisions with users. This paper presents a design space for safety techniques using visual feedback to make users aware of the robot’s state and thus reduce unintended potential collisions. The blocks that compose this design space focus on what and when the feedback is displayed and how it protects the user. Using this design space, a set of 18 techniques was developed exploring variations of the three dimensions. An evaluation questionnaire focusing on immersion and perceived safety was designed and evaluated by a group of experts, which was used to provide a first assessment of the proposed techniques.
Phytochemical and Nutritional Profiling of Tomatoes; Impact of Processing on Bioavailability - A Comprehensive Review

ABSTRACT Tomatoes (Solanum lycopersicum) are of great significance in terms of the worldwide consumption of nutritional diets. More than half of the production is sold as fresh products, while the whole fruit is still typically processed into various products, including canned tomatoes, paste, juice, and puree. Tomatoes are rich in phenolic compounds, which are generally present as soluble and bound forms in nature. Large amounts of nutritional and bioactive compounds such as phenolics, flavonoids, carotenoids, vitamins, minerals and glycoalkaloids have drawn increasing interest in tomato fruits. However, there appears to be a certain anti-nutritional compound that negatively influences human health. As the role of antioxidants in human nutrition has gained increased interest, the bioavailability of tomato fruits is of great importance to be researched and studied, especially due to their associated health benefits for a number of chronic diseases, including certain types of cancer and cardiovascular disease. Nevertheless, the processing of tomatoes into various end products, including mechanical and heat treatments, is considered to be one of the most significant factors that are potentially affected by those nutritional properties, anti-nutritional compounds and causing changes in the bioavailability of antioxidants. In this review, the nutritional and anti-nutritional compounds, and related health and side effects were discussed. The review also focused on the effects of different food processing techniques on the in vivo and in vitro bioavailability of tomato antioxidants.
Effect of Cyclic Irrigation on Growth of Magnolias Produced Using Five In-ground Systems

Abstract Five in-ground systems were evaluated based on shoot growth and marketability for the production of 2.17 m (7 ft) tall and 5.08 cm (2 in) trunk diameter Magnolia grandiflora cv. ‘Symmes Select’. Systems evaluated were Root Control Bags, Geo-Cell bags, and #25 containers in pot-in-pot in Experiment 1, and Agro-liners in socket pots and directly in-ground in Experiment 2. Each system was either cyclically irrigated or given a single irrigation event daily. In Experiment 1, cyclic irrigation increased the rate of height growth and trunk diameter compared to a single irrigation. Trees in Root Control Bags and pot-in-pot grew at a similar rate and faster than those in Geo-Cell bags. Faster growth rates with cyclic irrigation resulted in earlier marketability compared to single irrigation daily, except for pot-in-pot. In Experiment 2, cyclic irrigation increased the rate of trunk diameter growth, and Agro-liners in pots had greater height and trunk diameter growth rates than those directly in ground. T.
Penile Fracture with Complete Urethral Rupture and Urine Extravasation: A Case Report

Penile fracture is a rare traumatic injury of an erect phallus involving mainly the tissues responsible for penile erection, corpora cavernosa, and penile sheath, which occur commonly, but not solely during vigorous sexual intercourse. Here, we present a 34-year-old man who presented with a 5-h history of snapping sound heard during sexual intercourse with subsequent loss of tumescence, swelling of the phallus, and assumption of abnormal contour, scrotal swelling, and lower anterior abdominal swelling. On examination, the patient was in severe painful distress with swelling around the external genitalia and lower abdomen and dorsolateral penile angulation with marked tenderness. The diagnosis of penile fracture was made; intraoperatively, there was a complete rupture of both corpora cavernosa and corpus spongiosum, complete disruption of the urethra, and buck’s fascia tear causing haematoma and urine extravasation into the scrotum and anterior abdominal wall. The patient had haematoma evacuation, corpora repair, and urethroplasty done, did well, and has been on follow-up for 2 years with good erectile and voiding functions.
Characterization of human tear proteome reveals differentially abundance proteins in thyroid-associated ophthalmopathy

Background Thyroid-associated ophthalmopathy (TAO) is a common orbital inflammatory disease, but the abnormal expression of proteins in tears of TAO patients has not been systematically studied. The purpose of this study is to compare and analyze the total tear protein profile of TAO patients and to provide protein cues for TAO pathogenesis. Methods Tear samples were isolated from 30 TAO patients with obvious ocular surface damage and 30 healthy control subjects. Tear samples from 30 individuals were mixed and divided into three sample pools. Easy nano-scale LC-MS/MS based on labeling-free quantitative technology was utilized to profile tear proteome. Results Here, electrospray ionization mass spectra and SDS-PAGE results confirmed the good parallelisms among samples. A total of 313 proteins were obtained from six tear pools, among them, 103 differential abundance proteins (DAPs) were identified, including 99 up-regulated DAPs (including APOA1, HV103, IGH, and Transferrin variant) and four down-regulated DAPs (including FABA, VCC1, NUCB2, and E-cadherin) in the TAO group compared with the control group. GO analysis showed that up-regulated DAPs were mainly enriched in lipid metabolism and platelet molecular function, and down-regulated DAPs were involved in binding, cell junction, and cellular process. KEGG results indicated that DAPs were involved in 117 kinds of signal transduction pathways, among which the immune-related pathway of complement and coagulation cascades had the greatest relevance. Conclusion In conclusion, label-free LC-MS/MS is an effective strategy for profiling tear proteins component. Our study provides proteins and pathways altered in TAO and provides protein cues for further study on the precise mechanism of TAO pathogenesis.
Management of Primary Brainstem Hemorrhage: A Review of Outcome Prediction, Surgical Treatment, and Animal Model

Primary brainstem hemorrhage (PBH) has the worst prognosis of all types of intracerebral hemorrhage. Currently, the management of PBH is controversial. Hematoma classification, scoring systems, and electrophysiological monitoring are critical for predicting the outcome of PBH. Surgery may be an effective treatment for PBH. Clinical studies have emphasized the importance of animal models for understanding the pathogenesis and pathological mechanisms of PBH. In this study, combined with recent studies, the outcome prediction, surgical treatment, and animal models of PBH were reviewed.
Teachers' Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm

With the popularization of standardized classrooms in colleges and universities, it is possible to collect video data of students' class status through the camera device in the classroom. With abundant video data sources, it is easy to obtain big data of students' class status images. Unstructured video big data is a topic worthy of research in improving teaching quality. First, the current teaching ability of teachers in colleges and universities is investigated, and its problems are found. Then, the You Only Look Once (YOLO) network in the object detection network is mainly studied. The deficiencies in the network structure are further explored and optimized. It is used in real classroom scenarios as well as on student expression detection problems. Finally, the proposed scheme is tested. The test results show that at present, 20% and 38% of teachers in higher vocational colleges think that they are “dissatisfied” with their classroom teaching and practical guidance ability. And 38% of teachers wanted to improve the bad situation. The accuracy of the proposed model for student expression detection is higher than that of faster-region convolutional neural network and mask-region convolutional neural network by more than 8%, higher than the YOLO v3 model by more than 4%, and higher than YOLO v3 Tiny model above 6%. The proposed model provides some ideas for the application of deep learning technology in the improvement of teachers' teaching ability.
THE L–σ RELATION OF LOCAL H ii GALAXIES

For the first time we present a new data set of emission line widths for 118 star-forming regions in H ii galaxies (HiiGs). This homogeneous set is used to investigate the L–σ relation in conjunction with optical spectrophotometric observations. We were able to classify their nebular emission line profiles due to our high-resolution spectra. Peculiarities in the line profiles such as sharp lines, wings, asymmetries, and in some cases more than one component in emission were verified. From a new independent homogeneous set of spectrophotometric data, we derived physical condition parameters and performed statistical principal component analysis. We have investigated the potential role of metallicity (O/H), Hβ equivalent width (WHβ), and ionization ratio [O iii]/[O ii] to account for the observational scatter of the L–σ relation. Our results indicate that the L–σ relation for HiiGs is more sensitive to the evolution of the current starburst event (short-term evolution) and dated by WHβ or even the [O iii]/[O ii] ratio. The long-term evolution measured by O/H also plays a potential role in determining the luminosity of the current burst for a given velocity dispersion and age as previously suggested. Additionally, galaxies showing Gaussian line profiles present tighter correlations indicating that they are the best targets for the application of the parametric relations as an extragalactic cosmological distance indicator. Best fits for a restricted homogeneous sample of 45 HiiGs provide us with a set of new extragalactic distance indicators with an rms scatter compatible with observational errors of δlog LHα = 0.2 dex or 0.5 mag. Improvements may still come from future optimized observational programs to reduce the observational uncertainties on the predicted luminosities of HiiGs in order to achieve the precision required for the application of these relations as tests of cosmological models.
Is the rand a commodity currency? A volatility spillover analysis

ABSTRACT South Africa is a major commodity exporter, yet it is not clear what impact volatility in commodity prices has on the volatility of its currency. In this study, we examine whether a comprehensive sample of commodities (metals, grains and energy) transmit (or receive) volatility spillovers to (from) the rand exchange rate against the United States dollar for the period January 2000 to May 2022. This study uses the dynamic connectedness and volatility spillover approach of Diebold and Yilmaz (2012, 2014) and Gabauer (2020). Our findings highlight the rand as a net receiver of volatility from almost every commodity examined, with silver and palladium exhibiting the strongest volatility spillover onto the rand. From a transmission perspective, there is some evidence that the rand can be considered a commodity currency for metal exports but there may also be other channels to explain the impact of these commodities on the currency. The results have important implications for policymakers, currency traders and hedgers in commodity markets.
A Novel Technique for Disinfection Treatment of Contaminated Dental Implant Surface Using 0.1% Riboflavin and 445 nm Diode Laser—An In Vitro Study

Background: Antimicrobial photodynamic therapy (PDT) has been introduced as a potential option for peri-implantitis treatment. The aim of this study is to evaluate the antimicrobial effect of a novel technique involving a combination of 445 nm diode laser light with 0.1% riboflavin solution (used as a photosensitizing dye) as applied on a bacterial–fungal biofilm formed on implants and to compare the performance of this technique with that of the commonly used combination of 660 nm diode laser with 0.1% methylene blue dye. Methods: An in vitro study was conducted on 80 titanium dental implants contaminated with Staphylococcus aureus (SA) and Candida albicans (CA) species. The implants were randomly divided into four groups: negative control (NC), without surface treatment; positive control (PC), treated with a 0.2% chlorhexidine (CHX)-based solution; PDT1, 660 nm (EasyTip 320 µm, 200 mW, Q power = 100 mW, 124.34 W/cm2, 1240 J/cm2) with a 0.1% methylene blue dye; and PDT2, 445 nm (EasyTip 320 µm, 200 mW, Q power = 100 mW, 100 Hz, 124.34 W/cm2, 1.24 J/cm2) with a 0.1% riboflavin dye. Results: The PDT1 and PDT2 groups showed greater reduction of SA and CA in comparison to the NC group and no significant differences in comparison to the PC group. No statistically significant differences between the PDT1 and PDT2 groups were observed. Conclusions: A novel antimicrobial treatment involving a combination of 445 nm diode laser light with riboflavin solution showed efficiency in reducing SA and CA biofilm formation on dental implant surfaces comparable to those of the more commonly used PDT treatment consisting of 660 nm diode laser light with methylene blue dye or 0.2% CHX treatment.