Miracle-dz/UniFAR-FTUs huggingface dataset:
Journalist's Socialization : Main Impetus for Good Governance

Under the theoretical framework of Harold Lasswell's Communication Theory, this study focuses on the role that journalists' socialization plays in shaping the social understanding of good governance through the use of the media. In the age of social media and technology, it is obvious that people learn a lot from the various media they use in their lives and how they act. As, Harold Lasswell proposes that there is consistently connection between the communicator, message, medium and the beneficiary, it is a colossal test of the communicator or the source to spread the positive and advantageous message to the collector or the crowd. The sender is the most important factor in moving society in a particular progressive direction. Because of this, the journalist's role in society is most important in shaping society. However, the journalist's mindset is formed before socialization, while the audience's life is shaped by the media and political leaders' codes of conduct. Journalism, on the other hand, is not unaffected by national politics because individuals enrol in various programs for their own benefit. As a result, the primary focus of this study on journalists' socialization for good governance in Nepal is on Lasswell's communication model: who says what, how it affects whom, and why.
Herramientas de Gestión de la Responsabilidad Social en Sudamérica

La responsabilidad social es un tema que ha ido tomando importancia con el pasar de los años, pese a ello, en muchos países sudamericanos, aún se desconoce este tema, lo que implica una aplicación incipiente a nivel social, ambiental, comunidad o gobierno. En cuanto a las herramientas de gestión, muchos de estos países están logrando que, en los últimos años, gran parte de sus empresas las implementen. Para cumplir los objetivos del presente trabajo se revisó información bibliográfica, tomando referencias de la aplicación de estas herramientas de gestión en países como Perú, Ecuador, Bolivia y Chile. Se realizó una comparación de estos países para ver su evolución. Para el caso del Perú se realizó una encuesta mixta usando la escala Likert y preguntas abiertas, dirigido a empresas de diferentes rubros. Los resultados muestran que aún no es muy estable este tema en las empresas de estos países, pero se está buscando las maneras de llegar a establecerlos mediante instituciones, universidades y usando las herramientas de responsabilidad social.
Median Filter Based Compressed Sensing Model with Application to MR Image Reconstruction

Magnetic resonance imaging (MRI) has become a helpful technique and developed rapidly in clinical medicine and diagnosis. Magnetic resonance (MR) images can display more clearly soft tissue structures and are important for doctors to diagnose diseases. However, the long acquisition and transformation time of MR images may limit their application in clinical diagnosis. Compressed sensing methods have been widely used in faithfully reconstructing MR images and greatly shorten the scanning and transforming time. In this paper we present a compressed sensing model based on median filter for MR image reconstruction. By combining a total variation term, a median filter term, and a data fitting term together, we first propose a minimization problem for image reconstruction. The median filter term makes our method eliminate additional noise from the reconstruction process and obtain much clearer reconstruction results. One key point of the proposed method lies in the fact that both the total variation term and the median filter term are presented in the L1 norm formulation. We then apply the split Bregman technique for fast minimization and give an efficient algorithm. Finally, we apply our method to numbers of MR images and compare it with a related method. Reconstruction results and comparisons demonstrate the accuracy and efficiency of the proposed model.
Economic Analysis of Variable Speed Drive Control Through Profinet Technology on Distributed Control System: A Case Study in Essential Oil Processing Factories

Electrical equipment in essential oil processing plants is generally dominated by electric motor loads. In today's digital era, global competition and technological advances encourage factories to increase the efficiency and reliability of their production equipment. One way of efficiency is to use a variable speed drive (VSD). The existence of Profinet technology as a network protocol between the control equipment and the VSD allows users to increase system reliability while increasing energy use efficiency. Even so, there are still many factories that are hesitant to use this technology in their automation systems. Many low to medium-sized factories still use traditional control methods such as hardwired. This method is considered more reliable, and inexpensive compared to using Profinet technology. Cost-benefit analysis is carried out to prove this paradigm. At the same time provides certainty that the investment costs incurred in building the system provide added value for production equipment. From this research, it is proven that the use of Profinet technology in addition to providing savings on investment costs also provides benefits from a technical perspective. This technology also allows the implementation of condition-based monitoring systems for electric motors in production equipment. Which in turn can increase the performance and service life of the machine.
Simulated annealing approach to temperature–emissivity separation in thermal remote sensing

The method of simulated annealing is adapted to the temperature–emissivity separation problem. A patch of surface at the bottom of the atmosphere is assumed to be a graybody emitter with spectral emissivity e (k ) describable by a mixture of spectral endmembers. We prove that a simulated annealing search conducted according to a suitable schedule converges to a solution maximizing the a-posteriori probability that spectral radiance detected at the top of the atmosphere originates from a patch with stipulated T and e (k ) . Any such solution will be nonunique. The average of a large number of simulated annealing solutions, however, converges almost surely to a unique maximum a-posteriori (MAP) solution for T and e (k ) .
Perpendicular magnetic anisotropy and microstructure properties of nanoscale Co/Au multilayers

We investigated the role of microstructure and Co layer thickness on the perpendicular magnetic anisotropy of as-deposited and annealed Ta (5 nm)/[Co (tCo)/Au (2 nm)] × N = 20 multilayers with 1 ⩽ tCo ⩽ 2 nm prepared using dc-magnetron sputtering. These multilayers were characterized using a vibrating sample magnetometer, a p-MOKE magnetometer and a microscopy magnetometer, small angle x-ray reflection (XRR), and wide angle x-ray diffraction (XRD) analysis. These multilayers demonstrated strong perpendicular magnetic anisotropy with their saturation magnetization close to the bulk magnetization of Co. Magnetization and magnetic anisotropy increased with annealing and this increase is directly linked to the strain relaxation and sharpening of the interfaces after annealing. Using XRR analysis before and after annealing, and fitting these XRR data, the multilayer periodicities are extracted and the refined layer thickness and surface roughness are determined. Using XRD analysis and fitting these XRD spectra, information regarding both the average lattice spacing of atoms and the strain developed on an individual layer were determined.
Decentralized Adaptive NN Output-Feedback Fault Compensation Control of Nonlinear Switched Large-Scale Systems With Actuator Dead-Zones

The problem of adaptive decentralized fault-tolerant control is investigated in this paper for the pure-feedback nonlinear switched large-scale systems. The considered systems possess the unknown compounded nonlinearities (unknown nonlinear functions, unknown interconnected terms, unknown nonlinear function faults, and unknown actuator dead-zone nonlinearity). The radial basis function neural networks are utilized for identifying the unknown compounded nonlinear functions so that the problems of unknown nonlinearities can be solved. A switched neural networks ${k}$ -filter observer is constructed to estimate the unmeasurable states, deal with the unknown actuator dead-zone nonlinearity and compensate the nonlinear function faults simultaneously. Then, by combining the average dwell time theory, adaptive decentralized control method, and under the framework of backstepping design, an adaptive output-feedback fault compensation control method is presented. Under the certain assumptions, the stability of the closed-loop system is proved by use of Lyapunov function stability theory. Finally, the applicability of the proposed controller is well carried out by a double-inverted-pendulums simulation example.
Connected cruise control with delayed feedback and disturbance: An adaptive dynamic programming approach

This paper studies the connected cruise control problem for a platoon of human‐operated and autonomous vehicles. The autonomous vehicles can receive motional data, ie, headway and velocity information from other vehicles by wireless vehicle‐to‐vehicle communication. The use of wireless communications in information exchange between vehicles inevitably causes input delay in the platooning system. Meanwhile, unpredictable behaviors of the leading vehicle constitute exogenous disturbance for the system. An adaptive optimal control problem with input delay and disturbance is formulated, and a novel data‐driven control solution is proposed such that each vehicle in the platoon can achieve safe distance and desired velocity. By adopting an adaptive dynamic programming technique with sampled‐data system theory, a data‐driven adaptive optimal control approach is proposed for autonomous vehicles by the learning strategies of policy iteration without the accurate knowledge of the dynamics of all human drivers and vehicles. The efficacy of the proposed controller is substantiated by rigorous analysis and validated by simulation results in different scenarios.
Perfectionism or Perfectionisms in Orthorexia Nervosa

Abstract: Purpose: Perfectionism is considered a transdiagnostic construct that characterises eating disorders (EDs) and obsessive–compulsive disorder (OCD) and that could also depict orthorexia nervosa (ON). The principal aim of this study was to investigate what dimensions of perfectionism mostly represent ON. Moreover, it was evaluated if dieting impacted the presence of orthorexic features and perfectionistic behaviour. Methods: The sample consisted of two groups—the “Diet” (n = 93), and the “No Diet” (n = 94) groups—composed of people with high and low orthorexic tendencies, respectively. Participants filled out self-report questionnaires to investigate orthorexic tendencies and different facets of perfectionism. Results: Analyses highlighted that people with high orthorexic tendencies showed higher perfectionistic features and that ON had a significant relationship with different facets of perfectionism. No interactions with diet were found. Therefore, no other differences were highlighted when the group type (Diet/No Diet) was considered. Conclusions: Regardless of diet, different facets of perfectionism characterise ON: perfectionism as a personality trait and perfectionism related to EDs and to obsessive–compulsive features. Our results evidenced that perfectionism could also be considered a useful construct in the conceptualization of orthorexia nervosa.
Orthogonal Signal-Based Single-Phase FLL With Minimum Computational Overhead for Adverse Grid Conditions

In this article, a frequency-locked loop (FLL) is proposed for distorted single-phase grid systems. The proposed algorithm estimates the grid phase and frequency angle with minimal errors by using the orthogonal signal of a harmonic flag-modified second-order generalized integrator (HF-MoSOGI) and digital estimator stage. The proposed method achieves these estimates independently without using trigonometric and division operations. The implementation of the proposed FLL is straightforward and has a minimum computational overhead. The proposed algorithm, along with the detailed procedure for hardware implementation, is explained in this article. The simulation and hardware results are presented on various grid adversities to verify the proposed algorithm's improved dynamic response and effectiveness under steady grid disturbances (harmonics and dc offset). The proposed FLL is also used to implement the single-phase grid-tied inverter using hysteresis current control, and the results in simulation and hardware are reported.
Blockade of Melatonin Receptors Abolishes Its Antiarrhythmic Effect and Slows Ventricular Conduction in Rat Hearts

Melatonin has been reported to cause myocardial electrophysiological changes and prevent ventricular tachycardia or fibrillation (VT/VF) in ischemia and reperfusion. We sought to identify electrophysiological targets responsible for the melatonin antiarrhythmic action and to explore whether melatonin receptor-dependent pathways or its antioxidative properties are essential for these effects. Ischemia was induced in anesthetized rats given a placebo, melatonin, and/or luzindole (MT1/MT2 melatonin receptor blocker), and epicardial mapping with reperfusion VT/VFs assessment was performed. The oxidative stress assessment and Western blotting analysis were performed in the explanted hearts. Transmembrane potentials and ionic currents were recorded in cardiomyocytes with melatonin and/or luzindole application. Melatonin reduced reperfusion VT/VF incidence associated with local activation time in logistic regression analysis. Melatonin prevented ischemia-related conduction slowing and did not change the total connexin43 (Cx43) level or oxidative stress markers, but it increased the content of a phosphorylated Cx43 variant (P-Cx43368). Luzindole abolished the melatonin antiarrhythmic effect, slowed conduction, decreased total Cx43, protein kinase Cε and P-Cx43368 levels, and the IK1 current, and caused resting membrane potential (RMP) depolarization. Neither melatonin nor luzindole modified INa current. Thus, the antiarrhythmic effect of melatonin was mediated by the receptor-dependent enhancement of impulse conduction, which was associated with Cx43 phosphorylation and maintaining the RMP level.
EXPONENTIAL STABILITY OF INFINITE DIMENSIONAL LINEAR SYSTEMS

In this paper, we show that if A is a diﬀerential subalgebra of Banach algebras B ( ℓ r ), 1 ≤ r ≤ ∞ , then solutions of the inﬁnite dimensional linear system associated with a matrix in A have its p -exponential stability being equivalent to each other for diﬀerent 1 ≤ p ≤ ∞ .
Optimal responses-adaptive designs based on efficiency, ethic, and cost

The trade-oﬀ between power and ethical concerns has been well discussed by researchers. The total costs, how-ever, has hardly ever been considered in the adaptive design of clinical trials. In this article, we derive the compromised optimal allocations based on costs, ethical concerns, and eﬃciency for clinical trials with binary and normal responses. The compromised optimal allocations are implemented with a doubly biased coin design (DBCD) based on Hu and Zhang’s allocation function. The properties of the proposed designs are studied both theoretically and numerically. In many cases, the proposed designs are more eﬃcient, economical and ethical than complete randomization (equal allocation) under both binary and normal responses.
Solution-Grown MAPbBr3 Single Crystals for Self-Powered Detection of X-rays with High Energies above One Megaelectron Volt

Perovskite single crystals are actively studied as X-ray detection materials with enhanced sensitivity. Moreover, the feasibility of using perovskites for self-powered devices such as photodetectors, UV detectors, and X-ray detectors can significantly expand their application range. In this work, the charge carrier transport and photocurrent properties of MAPbBr3 single crystals (MSCs) are improved by the mechanochemical surface treatment using glycerin combined with an additional electrode design that forms an ohmic contact. The sensitivity of MSC-based detectors and pulse shape generated by X-rays are enhanced at various bias voltages. The synthesized MSC detectors generate direction-dependent photocurrents, which indicate the presence of a polarization-induced internal electric field. In addition, photocurrent signals are produced by X-rays with energies greater than 1 MeV under a zero-bias voltage. This work demonstrates a high application potential of perovskites as self-powered detectors for X-rays with energies exceeding 1 MeV.
An Evaluation of Interactive mHealth Applications for Adults Living with Cancer

This study evaluated the quality and usefulness of interactive mobile health (mHealth) applications (apps) for adults with cancer. The PRISMA guidelines were followed to add rigor to the search, as well as to the data collection and analysis. The apps available in the most used app stores (Google Play and Apple) with interactive tailored features were identified. To supplement this, a Google web search was also conducted. The apps were evaluated for their quality using the validated Mobile App Rating Scale (MARS) and for their usefulness using a checklist of end users‘ desired features derived from the literature. The searches returned 3046 apps and 17 were retained for evaluation. The average quality score of the apps across the sample was 3.62/5 (SD 0.26, range: 3.14–4.06), with Outcomes4me scoring the highest. On average, the apps scored 50% (SD 2.5, range: 31–88%) on the usefulness checklist, with Cancer.net scoring the highest. The lowest-scoring categories were communications features on the usefulness checklist and “information” on the MARS, indicating areas for future work. The findings identified the apps of an acceptable quality and usefulness that could be recommended to those with cancer.
Rauzy Fractal of the Smallest Substitution Associated with the Smallest Pisot Number

ABSTRACT Up to words reversal and relabeling, there exists a unique substitution associated with the smallest Pisot number with a minimal number of letters. This is the substitution s: 1↦2, 2↦3, 3↦12. We study the Rauzy fractal of this substitution and show that it is the union of a countable number of Hokkaido tiles and a fractal of dimension strictly less than 2 which is completely explicit. We complete the picture by showing that these Hokkaido tiles are arranged in three different manners to form tiles which are all pairwise disjoint. We also give an efficient algorithm to draw a zoom on a Rauzy fractal. And we show that the symbolic system of the substitution s is measurably isomorphic to a nice domain exchange with pieces. The tools used in this article, using regular languages, are very general and can be easily adapted to study Rauzy fractals of any substitution associated with a Pisot number, and other fractals associated with algebraic numbers without conjugate of modulus one.
Proniosomal Gel-Loaded Phosphodiesterase Inhibitors (Sildenafil, Vardenafil, and Tadalafil): Prospects for Topical Penile Therapy of Tadalafil for Treatment of Erectile Dysfunction

Oral phosphodiesterase inhibitors have emerged as a game changer for the treatment of erectile dysfunction (ED) since attaining FDA approval for its first member, sildenafil, in 1998. Topical penile therapy could be a viable replacement for oral medication that would transform the treatment of ED for many decades to come. This innovative idea could offer a safer topical alternative with less vision and cardiovascular side effects than the oral route. This work aims at developing proniosomal gels for three selected members (sildenafil, vardenafil, and tadalafil) and investigating the proniosomal gels on a rodent model. Niosomes derived from the parent proniosomal gels were characterized for entrapment efficiency (EE%), size, polydispersity index (PDI), zeta potential, and morphology. Proniosomal gels were evaluated for skin permeation, in vivo mating behaviors, and biochemical assays of nitric oxide (NO) and cyclic guanosine monophosphate (cGMP) post penile topical administrations. The optimized proniosomes loaded with tadalafil (F1-T) were compared with oral tablets (Cialis®). Proniosomal gels demonstrated significant enhancement of skin penetration by up to 5.5-fold, compared to control topical suspension. Tadalafil-loaded proniosomes showed superior skin permeability over sildenafil- and vardenafil-loaded proniosomes. In addition, significant improvement was noticed regarding intromission number, intromission ratio, NO, and cGMP for the proniosomal gel F1-T, compared to the untreated control. No statistically significant (p > 0.05) differences in sexual performance or biochemical parameters (NO and cGMP levels) were recorded among orally and topically (tadalafil proniosomal gel) administered groups. These findings support tadalafil topical penile therapy as a promising alternative to the oral route.
Conservative Management of a Distal Humerus Spiral Fracture Sustained During Arm Wrestling: A Case Report and Literature Review

Arm wrestling is a popular recreational activity that involves intense and repetitive muscular contractions of the upper extremity. Arm wrestling can result in various musculoskeletal injuries, including bone fractures. Humeral shaft fractures, particularly spiral fractures, are the most common fractures resulting from arm wrestling. Here, we present a case of a 25-year-old male patient who sustained a distal humerus spiral fracture during an arm-wrestling competition. The patient was managed conservatively with external reduction, cast stabilization, and physiotherapy with good outcomes. Despite initial angulation and rotation, the fracture healed well, and the patient regained full function of his arm within eight weeks. This case highlights the biomechanical aspects and risk factors of this type of fracture during arm wrestling and the value of protective measures such as proper technique, training, and protective equipment. It also highlights the potential for conservative management in such cases.
Unsupervised Transformer Balanced Hashing for Multispectral Remote Sensing Image Retrieval

For remote sensing (RS) image retrieval task, hashing technology have been extensively researched in recent works. Unsupervised hashing approaches have attracted much attention in the RS data processing field because label collection takes a lot of time. Most of which fail to consider the interactions among the multichannel information of multispectral RS images and the disparity between the hash-like codes space and the Hamming space, which lead to the poor performance of multispectral RS image retrieval. In this article, we tackle these dilemmas with a novel unsupervised hashing approach, namely Unsupervised Transformer Balanced Hashing (UTBH), to utilize a convolutional variational autoencoder architecture with a novel RS transformer to perform effective hash codes learning. We first integrate a convolutional variational autoencoder architecture with a novel RS transformer, which can guide the interactions among the multichannel information of multispectral RS images. Meanwhile, a new objective function is proposed to preserve discrimination of hash codes in the hashing learning process and reduce the disparity between the hash-like codes space and the Hamming space effectively. Finally, experimental results on two multispectral RS image datasets indicate that UTBH approach achieves superior performance over other unsupervised image retrieval approaches.