Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Digital Journalism in Framing the Issue of Child Marriage in Jordan

There is a dearth of academic studies focusing on the role of mass communication in combating issues related to child marriage. The present study examines the role of the Alrai news website in framing the news about early marriages in Jordan in terms of providing information that contributes to raising awareness of this issue and identifying the motives that prompted the Jordanian legislation to allow marriage for those under 18 years of age. The study examines whether child marriage causes an increase in the rate of psychological and physical abuse of girls while tracking the causes of the prevalence of child marriage in Jordan. It also monitors the role of news platforms in covering the contributions of human rights activists in providing solutions and suggestions to limit the spread of this issue and empower girls to overcome the consequences of marriage at an early age. A descriptive approach using quantitative content analysis was adopted to examine the press’s role in framing the issue of child marriage in 2019, 2020, and 2021. The results of the frame analysis for Al-Rai news website showed that victims of child marriage are exposed to physical and psychological violence, deprivation of education, early divorce, unplanned pregnancy, restricting girls’ freedom of choice, employment, and economic empowerment. This shows the position of the Al-Rai newspaper website towards the issue of child marriage, focusing on the multiplicity of negative effects of this type of marriage and reducing the focus on the negative effects of it. Moreover, the reasons for the enactment of the Jordanian legislation stating the legal age for marriage to be 15 years were found to be obscure.
Technological Progress of High-power Fiber Coupling LD

The high power diode-pumped solid-state laser is playing a more and more important role in many applications of civil and military fields, and the technology of high-power fiber coupling LD, which serves as its key technique, gets an extensive concern from people. Various kinds of high-power fiber coupling LD technologies are introduced and compared, and the future development products are given.
Continuous Improvement of the Rational Use of Central Nervous System Disease-Related Drugs in Elderly Inpatients

What Is Known? In elderly inpatients, potential inappropriate medication (PIM) is a prominent prescription challenge. However, there is limited information available regarding PIM in patients with central nervous system (CNS) diseases in China. Objective. To evaluate and improve the rational use of drugs for the treatment of CNS diseases in elderly inpatients. Method. A retrospective, cross-sectional study was conducted among elderly inpatients (≥65 years) admitted to the Ninth People’s Hospital of Zhengzhou in China from March 2020 to March 2021. PIM was identified based on the 2019 Beers criteria at admission and discharge. The patients recruited in March 2020 were considered a baseline group, which was used as a comparison to evaluate PIM of CNS disease-related drugs in June 2020, September 2020, December 2020, and March 2021. Results. A total of 1500 patients were included in the evaluation. There was a statistically significant difference in the number of average hospitalization days, drug varieties used, and PIM detection ( p < 0.05 ), as determined by X2 test. A total of 332 cases of PIM were identified, and 226 cases were detected for the interaction with CNS disease dementia. Multifactor logistic regression analysis showed that male, length of stay ≥15 days, and >10 medication types were risk factors for the occurrence of PIM ( p < 0.05 ). After clinical supervision and training based on the High-Risk Drug Replacement Program for the Elderly, the rate of irrational medication under medical advice decreased from 34.67% in March 2020 to 14.0% ( p < 0.001 ) in March 2021. What Is New and Conclusion. There was certain rationality based on the High-Risk Drug Replacement Program for the Elderly, and the rates of selective serotonin reuptake inhibitor, 5-hydroxylamine/norepinephrine re-intake inhibitor, rotenone, quetiapine, and proton pump inhibitor use were improved. These results provide a reference for the continuous improvement of the PIM catalog for elderly patients.
Controversies in Heterogeneous Classrooms, Adolescents’ Experiences of Social Cohesion in Brussels and Its Schools

As globalisation changes the sociocultural architecture of urban areas, adolescents increasingly interact with different sets of values and worldviews, which can be a potential cause of conflict and anxiety. To date, there is little empirical research on how adolescents perceive and experience social cohesion in a superdiverse metropolitan context such as the Brussels Capital Region. In this study, we elaborate on the relationship between social cohesion and ethnic diversity, using controversial topics as instruments to examine the erosion of social cohesion. To expose these processes, 34 in-depth interviews were conducted with pupils from Dutch-speaking secondary schools in Brussels. Through thematic analysis, the data revealed four overarching themes of controversies: Brussels, religion/philosophy, ethnicity/national belonging and political horizon, epitomising a paradox of conflict and consensus. Notably, during the interviews, the adolescents reported a climate shaped by actions of ‘silencing’, ‘avoiding’ and ‘voicing’ when discussing controversies in a heterogeneous classroom context. This analysis of adolescents’ perceptions of social cohesion hence corroborates the premise that conflict is not the opposite of cohesiveness, but rather an integral part of a pluralistic society.
A Study of Solar Powerd Charge Controlled Station For Electric Vehicles

Sustainability is gaining attraction as a result of decreasing fossil fuel supplies combined with a climate catastrophe, and Electric vehicles (EVs) are starting to take over as the industry's new face. They are a significant transportation sector for reducing greenhouse gas emissions in the future. The electric grid system and charging station infrastructure will be impacted by EVs charging process. As a result, charging and discharging technologies will be vital to the success of EVs. However, the idea of EVs won't be sustainable until they're powered by renewable energy. Hence, renewable energy sources are an excellent and suitable alternative for supplying clean electricity sources for the grid system and EV charging stations. One of the best energy sources for producing power to charge EVs is solar energy. This article discusses about many renewable sources that have been employed in the construction of portable or permanent mobile charging stations, as well as the system's characteristics.
Design and Fabrication of a High-Temperature SOI Pressure Sensor with Optimized Crossbeam Membrane

This paper presents a SOI piezoresistive pressure sensor with the crossbeam membrane. The roots of the crossbeam were widened, which solved the problem of the poor dynamic performance of small-range pressure sensors working at a high temperature of 200 °C. A theoretical model was established to optimize the proposed structure, which combined the finite element and the curve fitting. Using the theoretical model, the structural dimensions were optimized to obtain the optimal sensitivity. During optimization, the sensor nonlinearity was also taken into consideration. The sensor chip was fabricated by MEMS bulk-micromachining technology, and Ti/Pt/Au metal leads were prepared to improve the sensor ability of high-temperature resistance over a long time. The sensor chip was packaged and tested, and the experimental results show the sensor achieved an accuracy of 0.241% FS, nonlinearity of 0.180% FS, hysteresis of 0.086% FS and repeatability of 0.137% FS at the high temperature. Given the good reliability and performance at the high temperature, the proposed sensor provides a suitable alternative for the measurement of pressure at high temperatures.
Manta Ray inspired multistable soft robot

Manta rays are unique animals that exhibit complex motion behavior, given their rigid bodies and flexible fins. During turning maneuvers, these animals can hold their fins in asymmetric positions while flapping to achieve a smaller turning radius and faster-turning speed. This collective behavior can be challenging to attain using conventional soft robots or actuators. Local bistability can be leveraged to mimic this behavior by inducing spatially distributed prestress in thin, fin-like surfaces that reshape into 3D, stable configurations without the need of continuous actuation. We present a pneumatically actuated manta ray-inspired soft robot concept with multiple stable states which approximate the ray's asymmetric strokes and stroke frequency. The fins are actuated by an array of inflatable bistable and metastable dome-shaped units that allow us to independently deflect sections of the fin to achieve a desired po-sition. We tune our robot's geometry by performing a numerical parameter sweep over different geometrical configurations of the patterned dome structure. Our approach offers a new route for imposing various target 3D deflected positions of morphing surfaces with minimal actuation or feedback control by utilizing multistability.
Photonic crystal-based RGB primary colour optical filter

Abstract We have presented an RGB optical filter, based on photonic crystal (PhC) waveguides, with the hexagonal arrangement of GaP rods in air. It filters out the three primary colours of the visible range, red (R, λ = 648 nm), green (G, λ = 540 nm) and blue (B, λ = 470 nm). The plane wave expansion method is applied for estimating the dispersion curves and finite element method is utilized in examining the propagation characteristics of the designed PhC-based optical filter. Transmittance, extinction ratio and tolerance analysis have further been calculated to confirm the performance of the proposed optical filter to work in the visible range of optical spectrum and filter out the three primary colours (red, green, blue) along different output ports.
Collector Engineering of ESD PNP in BCD Technologies

PNP bipolar transistors are an ESD protection solution for high-voltage analog products. Using both measurements and TCAD simulations, this work analyzes the effects of the deep collector P-Well implants on the I-V characteristic of a high-voltage lateral PNP. Design guidelines for a PNP protection device are formulated; specifically, it is recommended to use a deep and narrow collector and minimize vertical non-uniformity in the doping profile.
Bayesian inference for a common scale parameter of several Pareto populations

ABSTRACT This article deals with the problem of Bayesian inference concerning the common scale parameter of several Pareto distributions. Bayesian hypothesis testing of, and Bayesian interval estimation for, the common scale parameter is given. Numerical studies including a comparison study, a simulation study, and a practical application study are given in order to illustrate our procedures and to demonstrate the performance, advantages, and merits of the Bayesian procedures over the classical and generalized variable procedures.
Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data

The advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal hazards. Managing and protecting coastal areas requires accurate measurements and the availability of reliable numerical models for predicting shoreline evolution. The present study focuses on verifying the reliability of a recent one-line model: the General Shoreline beach (GSb) model. The numerical simulations were performed using wave data observed by the Acoustic Wave and Current profiler and the Channel Coast Observatory buoy. The numerical results were compared with high-resolution shoreline data collected from an ARGUS monitoring station during the impoundment experiment conducted in Milford-on-Sea, UK. The numerical results demonstrated that the GSb model accurately predicts shoreline evolution, particularly for mixed beaches. The findings of the present study also show the effectiveness of the GSb online numerical model in predicting day-to-day changes in shoreline dynamics caused by wave attack. The high-resolution dataset of the ARGUS observations combined with wave data collected during the field experiment could be valuable resources for coastal researchers to further evaluate and improve numerical models of coastal morphodynamics.
Impact of Process Variation on MIM Capacitor Lifetime

MIM capacitor lifetime depends strongly on dielectric thickness. If there is significant spread in thickness this can make the TDDB lifetime estimation overly pessimistic. This can be countered by adapting the lifetime expression to include a metric for thickness. We have analyzed TDDB data in conjunction with measured capacitance density. This approach allows for more accurate lifetime estimates. It also facilitates process optimization choices.
Design of Microstrip Patch Antenna for C-band Applications

The high-frequency micro-antenna industry has grown exponentially with the tremendous advances in communications over the past few years. Where the need to provide certain types of these antennas, which are characterized by small size, high efficiency, and transmission of high frequencies has become a necessity. A microstrip patch antenna design is introduced in this study, which consists of three conductive layers, a conductive patch on one side and an insulating substrate with a ground plane on the other side. Generally, a microstrip antenna is commonly known as a “printed antenna”. Common shapes for microstrip patch antennae are square, rectangular, circular, and oval, but another scheme is permittable. A new shape of the microstrip patch antenna is designed to withstand frequencies range 5–7 GHz band with elliptical shape microstrip patch antenna having one slot in the patch, and two circle slots with one rectangle slot in the partial ground
Edge-directed Bicubic Color Image Interpolation

Image interpolation becomes very important because various low-cost digital cameras and camcorders have spread widely.Most of the existing image interpolation methods are geared to gray images.Interpolating a color image is usually implemented by the componentwise interpolation scheme using gray image interpolation methods,which is insufficient and results in additional artifacts.In this paper,a novel edge-directed bicubic color image interpolation method is proposed.Our method is an extension to the classical bicubic convolution interpolation.Our improvement includes:considering the correlation between color channels;giving a new method of color edge detection and a novel scheme estimating the missing pixels.The proposed method can well preserve the edges and textures,and noticeably suppress common artifacts such as blurring,blocking and aliasing in interpolated images.The experimental results demonstrate that it outperforms significantly the bicubic interpolation in terms of both objective and subjective measures.
Reliability challenges in Forksheet Devices: (Invited Paper)

The forksheet (FSH) device architecture is a possible candidate towards continued logic cell downscaling. It consists of vertically stacked n- and p-type sheets at opposing sides of a dielectric wall. In this work, we overview the time-0 and time-dependent performance of n and p-type FSH field-effect transistors co-integrated with nanosheets (NSH) in individual wafers. A separate assessment of dedicated capacitors yields indications of a non-negligible effect of negative fixed charges trapped in low-temperature deposited SiO2, currently used as dielectric wall liner. Finally, we evaluate the impact of using a bottom dielectric isolation (BDI) instead of a junction-based electrical isolation of the sheets from the substrate.
Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

Background Despite growing efforts to develop user-friendly artificial intelligence (AI) applications for clinical care, their adoption remains limited because of the barriers at individual, organizational, and system levels. There is limited research on the intention to use AI systems in mental health care. Objective This study aimed to address this gap by examining the predictors of psychology students’ and early practitioners’ intention to use 2 specific AI-enabled mental health tools based on the Unified Theory of Acceptance and Use of Technology. Methods This cross-sectional study included 206 psychology students and psychotherapists in training to examine the predictors of their intention to use 2 AI-enabled mental health care tools. The first tool provides feedback to the psychotherapist on their adherence to motivational interviewing techniques. The second tool uses patient voice samples to derive mood scores that the therapists may use for treatment decisions. Participants were presented with graphic depictions of the tools’ functioning mechanisms before measuring the variables of the extended Unified Theory of Acceptance and Use of Technology. In total, 2 structural equation models (1 for each tool) were specified, which included direct and mediated paths for predicting tool use intentions. Results Perceived usefulness and social influence had a positive effect on the intention to use the feedback tool (P<.001) and the treatment recommendation tool (perceived usefulness, P=.01 and social influence, P<.001). However, trust was unrelated to use intentions for both the tools. Moreover, perceived ease of use was unrelated (feedback tool) and even negatively related (treatment recommendation tool) to use intentions when considering all predictors (P=.004). In addition, a positive relationship between cognitive technology readiness (P=.02) and the intention to use the feedback tool and a negative relationship between AI anxiety and the intention to use the feedback tool (P=.001) and the treatment recommendation tool (P<.001) were observed. Conclusions The results shed light on the general and tool-dependent drivers of AI technology adoption in mental health care. Future research may explore the technological and user group characteristics that influence the adoption of AI-enabled tools in mental health care.
Adaptive finite-time tracking control of uncertain non-linear n-order systems with unmatched uncertainties

This study focuses on the adaptive finite-time tracking problem for uncertain non-linear n-order systems subjected to unmatched uncertainties. Using a novel form of fast terminal sliding mode (FTSM) control method with self-tuning algorithm, a robust controller is obtained to drive the tracking error to origin in finite time in spite of the unmatched uncertainties. Indeed, the adaptive FTSM is combined with a global SMC approach to eliminate the reaching phase which improves the performance and robustness of the system. To alleviate chattering phenomenon and get rid of knowing the exact value of upper bound of the uncertainties, a bipolar sigmoid function with adjustable gains is presented to replace signum function. The Lyapunov stability theory is utilised to establish the stability and robustness features of the suggested law. The proposed controller provides an appropriate performance as well as finite-time convergence of tracking error to zero and this issue is verified through simulation results.
CoRE: A Context-Aware Relation Extraction Method for Relation Completion

Relation completion (RC) is a difficulty in applications using huge data. In relation $R$, RC makes an effort to connect entity pairings between two entity lists. Search queries are created for query entity in order to identify its target entity from the set of retrieved documents in order to fulfil the RC goals. When creating search queries, a pattern-based technique (PaRE) employs extracted patterns as auxiliary information [1]. High-quality patterns, however, may make it more difficult to locate acceptable target entities. When constructing queries, CoRE technique makes use of context terms acquired around the expression of a relation. Information from the book dataset is extracted using a many-to-many relation. According to experimental findings from data gathering in the actual world, CoRE is more accurate than PaRE for RC.
The impact of digitalization on the transformation of postal and logistics systems

The process of business digitalization has become inevitable for most industries. The logistics sector, one of the fastest-growing in the world, is also facing this challenge. Networking of all segments of the logistics and postal system through digitalization offers a lot of potentials to reduce costs and increase efficiency. The paper analyzes the possibilities for digitalization of business. Special attention is paid to some of the technologies that can be applied in the field of postal traffic and logistics. Also, there are some difficulties in initializing the digitalization process, that have been described.
Analytical Methods and Perturbation Theory for the Elliptic Restricted Three-Body Problem of Astrodynamics

of Dissertation Analytical Methods and Perturbation Theory for the Elliptic Restricted Three-Body Problem of Astrodynamics The distinguishing characteristic of the elliptic restricted three-body problem is a pulsating potential field resulting in non-autonomous and non-integrable spacecraft dynamics, which are difficult to model using classical methods of analysis. The purpose of this study is to harness modern methods of analytical perturbation theory to normalize the system dynamics about the circular restricted three-body problem and about one of the triangular Lagrange points. The normalization is achieved through a canonical transformation of the system Hamiltonian function based on the Lie transform method introduced by Hori and Deprit in the 1960s. The classic method derives a near-identity transformation of a Hamiltonian function expanded about a single parameter such that the transformed system possesses ideal properties of integrability. One of the major contributions of this study is to extend the normalization method to two-parameter expansions and to non-autonomous Hamiltonian systems. The twoparameter extension is used to normalize the system dynamics of the elliptic restricted three-body problem such that the stability of the triangular Lagrange points may be determined using the Kolmogorov-Arnold-Moser theorem. Further dynamical analysis is performed in the transformed phase space in terms of local integrals of motion
An amorphous titanium dioxide metal insulator metal selector device for resistive random access memory crossbar arrays with tunable voltage margin

Resistive random access memory (ReRAM) crossbar arrays have become one of the most promising candidates for next-generation non volatile memories. To become a mature technology, the sneak path current issue must be solved without compromising all the advantages that crossbars offer in terms of electrical performances and fabrication complexity. Here, we present a highly integrable access device based on nickel and sub-stoichiometric amorphous titanium dioxide (TiO2−x), in a metal insulator metal crossbar structure. The high voltage margin of 3 V, amongst the highest reported for monolayer selector devices, and the good current density of 104 A/cm2 make it suitable to sustain ReRAM read and write operations, effectively tackling sneak currents in crossbars without compromising fabrication complexity in a 1 Selector 1 Resistor (1S1R) architecture. Furthermore, the voltage margin is found to be tunable by an annealing step without affecting the device's characteristics.