Miracle-dz/UniFAR-FTUs huggingface dataset:
Imaging Features of Post Main Hepatectomy Complications: The Radiologist Challenging

In the recent years, the number of liver resections has seen an impressive growth. Usually, hepatic resections remain the treatment of various liver diseases, such as malignant tumors, benign tumors, hydatid disease, and abscesses. Despite technical advancements and tremendous experience in the field of liver resection of specialized centers, there are moderately high rates of postoperative morbidity and mortality, especially in high-risk and older patient populations. Although ultrasonography is usually the first-line imaging examination for postoperative complications, Computed Tomography (CT) is the imaging tool of choice in emergency settings due to its capability to assess the whole body in a few seconds and detect all possible complications. Magnetic resonance cholangiopancreatography (MRCP) is the imaging modality of choice for delineating early postoperative bile duct injuries and ischemic cholangitis that may arise in the late postoperative phase. Moreover, both MDCT and MRCP can precisely detect tumor recurrence. Consequently, radiologists should have knowledge of these surgical procedures for better comprehension of postoperative changes and recognition of the radiological features of various postoperative complications.
8.4. Ability to estimate feed intake from presence at feeding trough and chewing activity

Monitoring of feeding and rumination behaviour can provide useful information for dairy herd management. The feeding behaviour of dairy cows can be recorded by different techniques, such as indoor localisation, weighing troughs, or chewing sensors. Among feeding characteristics, individual feed intake of cows is of utmost interest, but weighing troughs have high space and cost requirements so they are only used in research. The objective of the present study was to evaluate whether records on feeding time or chewing activity or a combination of both contain enough information to estimate feed intake with sufficient accuracy. Feed intake and feeding time per cow were recorded by means of weighing troughs (Insentec, The Netherlands). Simultaneously, chewing activity of seven cows was recorded by MSR-ART pressure sensors (ART, Tanikon, Switzerland) during five to eight measuring days per cow. Feeding and chewing behaviour were evaluated in time slots (1 min) and additionally assigned to feeding bouts for further analysis. Over all cows, the two systems classified 92.2% of the recorded one-minute time slots concurrently as feeding and chewing activities. On average, cows spent 270±39 min per day at the feeding troughs and chewed for 262±48 min per day. The average feed intake was 49.6±5.1 kg per day. Feeding time per day was divided into 9.7 bouts during which cows fed for an average 27.8±21.7 min per bout and chewed for 27.0±23.1 min per bout. The correlation between fresh matter intake and feeding time was 0.891 and the correlation between fresh matter intake and chewing time was 0.780 over all cows. Hence, both systems delivered suitable information for estimating feed intake.
Intersectionality as personal: the science identity of two young immigrant Muslim women

ABSTRACT This paper studies intersectional multiplicity by encompassing the ways individuals shape relationships between social structures and their science identity. We discuss the science lives of two sixteen-year-old British South-Asian Muslim women studying in a single-sex independent school in London, both of whom aspire to science careers. Adapting McCall’s ‘intracategorical complexity’ in favouring a case study approach, we present the multiplicity of our participants’ relationships with exclusion and inequality, discrimination and privilege within their lived social settings, and how these relationships shape their identities and ambitions to become scientists. Our findings reveal that despite their similarities in their societally ascribed intersectional makeup, Ayesha and Hanya differ in viewing their intersections as challenges and/or opportunities. They both portray agentic control towards ‘going against the grain’ as future women scientists by negotiating their intersections as they develop their science identity.
Security Challenges in Internet of Things (IoT)

With the mounting prominence of the internet, secure transmission of information is crucial. The paper primarily focuses on recent research trends in security and privacy of Internet of Things (IoT). The benefits IoT has delivered is immense but at the cost of data security. Characteristics, architecture and limitations of IoT has been conferred for improved understanding for the readers. Security, privacy and trust has become a serious matter of concern with the increasing number of IoT. The authors have also addressed a numbers of security challenges in IoT like encryption, key distribution, PKI, trust, etc.
The implementation of Malaysian m-Government services

The Malaysian m-Government is one of the government’s initiatives for Malaysian citizens to provide quick and easy access to the information at anytime and anywhere. The increasing rates of penetration and use of mobile devices in Malaysia have a positive impact on the implementation of government services. This study discusses the implementation of m-Government services in Malaysia, covering the types of m-Government services and status of implementation. This study used a positivist paradigm and a survey method. 200 surveys were distributed at five selected agencies, namely MPM, MOE, JPJ, JPN and KDPDNKK. Results from the surveys show that most of Malaysian citizens are aware of m-Government services but the utilization among citizens are still low. The government needs to focus on user requirement based on their user profiling to provide the best and appropriate m-Government services among citizens.
Bayesian models for spatial count data with informative finite populations with application to the American community survey

The American Community Survey (ACS) is an ongoing program conducted by the US Census Bureau that publishes estimates of important demographic statistics over pre-specified administrative areas. ACS provides spatially referenced count-valued outcomes that are paired with finite populations. For example, the number of people below the poverty line and the total population for each county are estimated by ACS. One common assumption is that the spatially referenced count-valued outcome given the finite population is binomial distributed. This conditionally specified (CS) model does not define the joint relationship between the count-valued outcome and the finite population. Thus, we consider a joint model for the count-valued outcome and the finite population. When cross-dependence in our joint model can be leveraged to ‘improve spatial prediction’ we say that the finite population is ‘informative. ’ We model the count given the finite population as binomial and the finite population as negative binomial and use multivariate logit-beta prior distributions. This leads to closed-form expressions of the full-conditional distributions for an efficient Gibbs sampler. We illustrate our model through simulations and our motivating application of ACS poverty estimates. These empirical analyses show the benefits of using our proposed model over the more traditional CS binomial model.
SYNTHESIS OF ROBUST CONTROLLER FOR STABILIZING SYSTEM OF INFORMATIONAL-MEASURING DEVICES

Abstract. The paper is devoted to the actual issue of controller synthesis for the stabilizing systems of theinformation-measuring devices meant for exploitation at vehicles of a wide class. In the paper the problemstatement has been represented. Features of the H¥ -synthesis procedure for the studied class system basedon the method of mixed sensitivity have been defined. Efficiency of the suggested approach has been provedby the simulation results. The obtained results may be applied in the field of the wide class informationmeasuringdevices stabilizing systems.Keywords: informational-measuring device, method of mixed sensitivity, robust controller, stabilizingsystem.
Quality of Life and Associated Factors in Patients Infected with Hepatitis B and C Virus in a Moroccan Region: A Cross-Sectional Study

Introduction: Hepatitis B or C virus infection is one of the most common liver infections leading to altered health-related quality of life (HRQoL) in patients. The goal of this study was to assess the quality of life of patients infected with hepatitis B or C virus and to determine the factors that might be associated with worse outcomes. Methods: A cross-sectional study was conducted in patients aged 18 years and over followed on an outpatient basis at the teaching hospital Hassan II in Fez for hepatitis B or C. These patients were asked to complete the SF-12 questionnaire file which is the short form of the quality measurement scale of life SF-36. Sociodemographic, clinical and economic information was collected. A descriptive analysis was carried out, then a univariate analysis in search of factors associated with quality of life, and finally a multivariate analysis by linear regression was carried out adjust-ing for possible confounding factors. Results: A total of 94 patients whose mean age was 55.69 ± 13.25 years met the inclusion criteria. The physical quality of life was altered with an average of 41.98 with chronic hepatitis regardless of type.
Visualization pipeline of autonomous driving scenes based on FCCR-3D reconstruction

Abstract. Visual sensor-based human–computer interaction can provide environmental perception data of traffic road scenes for mechatronic intelligent vehicles. The existing three-dimensional (3D) reconstruction visualization schemes are mainly based on structured scene reconstruction with multiview geometry and are offline operations. It is difficult for large-scale autonomous driving scenes with wide baselines to ensure consistent reconstruction results in the wide field-of-view area and the center of the light-of-sight area. It is also difficult to achieve uniform reconstruction results for regions with drastic depth changes and inconsistent texture fineness. Therefore, we propose a 3D reconstruction-based visualization pipeline for autonomous driving scenes of wide baseline. First, the stereo geometric model is initialized. The parameters of distortion correction and polar calibration are calibrated. Second, the proposed feature chain code resampling (FCCR) is used to uniformly extract the features for regions with inconsistent texture fineness and depth variation. The filtered 3D data are obtained based on the stereo geometric model. Finally, the texture mapping of the mesh skeleton of 3D data is carried out by the bilinear combination of surrounding multilevel gradual textures. The visualization results of scene rendering and scene roaming are realized. The pipeline has been effectively verified on the simulated experimental platform, real vehicle test, and public dataset. It can meet the real-time 3D reconstruction visualization of wide-baseline scenes. The reconstruction texture is uniform, and the detail response is rich. We can present the intuitive, 3D, real-time, graphical physical quantities of scene data for drivers, intelligent vehicles, AR-HUD, and control systems. The method we present has research value and application significance for the practical engineering of electronic images.
A Comparative Study on the Phenotypic Versus Molecular Identification of Clinical Dermatophytes

Dermatophytosis is the superficial infection of keratinized tissue like skin, hair, and nails, in humans and animals, by a group of closely related fungi known as dermatophytes. Phenotypic identification of dermatophytes, especially through classical methods can be difficult and uncertain at times, especially when differentiating species with overlapping characteristics. Alternative identification methods based on amplification and sequence analysis of the highly polymorphic internal transcribed spacer (ITS) sequences flanking the 5.8S ribosomal RNA gene has proven to be quite sensitive and reliable. The objective of our study was to compare the phenotypic and the ITS sequencing-based methods for the identification of clinically isolated dermatophyte specimens from Puducherry, India. A total of 13 clinical samples from 39 suspected cases were found positive for dermatophytes using KOH/DMSO preparations. Specimens were subsequently cultured in Sabouraud dextrose agar (SDA) supplemented with chloramphenicol, gentamicin, and cycloheximide. Dermatophytes were identified based on culture characteristics and microscopic examination in lactophenol cotton blue preparations. ITS sequencing was additionally performed after PCR amplification for species identification. Identification based on phenotype through microscopy and culture methods confirmed infections with Trichophyton mentagrophytes (n = 11), T. rubrum (n = 1), and Microsporum gypseum (n = 1). The strains were confirmed by ITS sequencing without any discrepancy with phenotypic identification. Identification of common dermatophytes based on phenotypic characteristics may be used as a reliable method of diagnosis where sophisticated methods like ITS sequencing and PCR are unavailable.
An Efficient UAV Localization Technique Based on Particle Swarm Optimization

Unmanned aerial vehicles (UAVs) have recently attracted tremendous attentions in both industries and academic communities. Thanks to the high mobility and flexibility, UAVs can be deployed in many scenarios to provide various types of services. In these scenarios, the position of UAVs must be timely and accurately acquired to avoid UAV collisions and realize millimeter-wave beamforming. Particle swarm optimization (PSO) is a potential approach to fulfill localization under GPSdenied environment. However, it has the drawbacks of high complexity and relative large localization error. In this paper, we consider the UAV localization problem based on improved PSO, which aims at reducing complexity and localization error. We firstly analyze the performance metrics and performance bounds of conventional PSO in the considered UAV localization scenario. Then, the particle initialization process is reconsidered, where a particle and search space reduction method is introduced as the hierarchical PSO (HPSO). Next, the particle updating schemes are redesigned based on the particle number, where the reference best particle is introduced to deal with the limitations in conventional PSO, this is called reference PSO (RPSO). Lastly, the proposed HPSO and RPSO are validated in simulation results. It is shown that the proposed PSO method has both reduced complexity and localization error compared with conventional PSO and other reference methods.
Numerical FDTD modeling of silicon integrated spiral inductors

This article describes the application of an electromagnetic simulator, based on the finite difference time domain (FDTD) method, to the numerical modeling of silicon integrated spiral inductors. The proposed approach is fully three-dimensional. (3D) and accounts for a rigorous treatment of metal (aluminum film) and substrate (doped silicon) losses. To check the accuracy of the simulator, a test structure was fabricated, adopting a standard 0.35 μm CMOS silicon technology. Measurements have been carried out at the wafer level by means of a vector network analyzer; the comparison between experiments and simulated results shows that the inductor performance is correctly predicted by the proposed methodology. Detrimental effects have also been evaluated and physically interpreted in terms of internal device fields and currents that are made available by the simulator.
Managing anxiety disorders with the neuro-biofeedback method of Brain Boy Universal Professional.

Background Biofeedback is a non-invasive therapeutic method used independently or as an adjunct alongside other methods. Objective This study evaluated the efficacy of biofeedback in the treatment of anxiety disorders. Methods The sample consisted of 85 individuals with anxiety symptoms who underwent neuro-biofeedback therapy using Brain Boy Universal Professional. Anxiety was assessed by both the Hamilton Rating Scale for Anxiety (HAM-A) and Zung Anxiety Self-Assessment Scale (SAS) before the initiation and after completing ten sessions with biofeedback. Results Before biofeedback and based on the HAM-A scale, 27.0% of the individuals showed mild to moderate anxiety, 16.5% medium anxiety, and 56.5% severe anxiety. After the completion of biofeedback, 90.6% of the individuals experienced mild to moderate anxiety, 5.9% medium anxiety, and 3.5% severe anxiety. Based on the SAS scale, before biofeedback, 42.4% of the individuals showed minimal to moderate anxiety, 21.2% marked severe anxiety and 36.5% most extreme anxiety. After the biofeedback, 68.2% of the individuals were within a normal range, 27.1% had minimal to moderate anxiety, 4.7% marked severe anxiety, and none in most extreme anxiety. Conclusion Both HAMA-A and SAS scales showed statistically reduced anxiety levels after biofeedback therapy. Thus, the primary symptom of anxiety can be addressed by the biofeedback method.
Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review

Background “Digital public health” has emerged from an interest in integrating digital technologies into public health. However, significant challenges which limit the scale and extent of this digital integration in various public health domains have been described. We summarized the literature about these challenges and identified strategies to overcome them. Methods We adopted Arksey and O’Malley's framework (2005) integrating adaptations by Levac et al. (2010). OVID Medline, Embase, Google Scholar, and 14 government and intergovernmental agency websites were searched using terms related to “digital” and “public health. ” We included conceptual and explicit descriptions of digital technologies in public health published in English between 2000 and June 2020. We excluded primary research articles about digital health interventions. Data were extracted using a codebook created using the European Public Health Association's conceptual framework for digital public health. Results and analysis Overall, 163 publications were included from 6953 retrieved articles with the majority (64%, n = 105) published between 2015 and June 2020. Nontechnical challenges to digital integration in public health concerned ethics, policy and governance, health equity, resource gaps, and quality of evidence. Technical challenges included fragmented and unsustainable systems, lack of clear standards, unreliability of available data, infrastructure gaps, and workforce capacity gaps. Identified strategies included securing political commitment, intersectoral collaboration, economic investments, standardized ethical, legal, and regulatory frameworks, adaptive research and evaluation, health workforce capacity building, and transparent communication and public engagement. Conclusion Developing and implementing digital public health interventions requires efforts that leverage identified strategies to overcome diverse challenges encountered in integrating digital technologies in public health.
O-subsumption for Structural Matching

Abst rac t . Structural matching, originally introduced by Steven Vere, implements and formalizes the notion of a "most specific generalisation" of two productions, possibly in the presence of a background theory. Despite various studies in the mid-seventies and early eighties, several problems remained. These include the use of background knowledge, the nonuniqueness of most specific generalisations, and handling in-equalities. We show how Gordon Plotkin's notions of "least general generalisation" and "relative least general generalisation" defined on clauses can be adapted for use in structural matching such that the remaining problems disappear. Defining clauses as universally quantified disjunctions of literals and productions as existentially quantified conjunctions of literals, it is shown that the lattice on clauses imposed by #-subsumption is order-isomorphic to the lattice on productions needed for structural matching.
Exploring tourist intention to participate in olive tourism

Purpose - the purpose of the paper is to explore tourists’ (N=452) familiarity with Northern Adriatic local olive tourism offer and their intention to participate in selected olive tourism activities during their stay in the destination. Design/methodology/approach - survey sampling method is used in this preliminary study. The hypotheses are tested using T-test and ANOVA. Findings - the results of the study show that only a small proportion of tourists (18.8%) are familiar with the olive tourism offer on Northern Adriatic, with TB offices being the main source of information about this offer. Familiarity of the offer, as well as frequency of olive oil consumption and attitudes towards olive tourism, werefound to be significant predictors of an individual’s intention to participate in olive tourism activities. Originality of research - scientific literature in the field of olive tourism is sparse. The results of this study can be used to develop further marketing activities and strategies related to olive tourism.
A Novel Class of High Selectivity Filters and Duplexers in Microstrip Technology

This article describes a novel configuration for high selectivity bandpass filters and duplexers in microstrip technology. The structure proposed is made of single-sided filters, which are characterized by requirements in one passband and one stopband, both of finite extension. Using this class of filters, it is possible to obtain high selectivity and small insertion losses at the same time (even with low unloaded Q microstrip resonators); in fact, the number of resonators required for a given attenuation mask is much smaller than for classical bandpass filter configurations. Suitable resonator topologies are introduced and discussed, which allow the filter to have a stopband either above or below the filter passband (this is a requirement for duplexer realizations). A test duplexer composed of two single-sided filters designed according to a suitable procedure, has been fabricated and measured to validate the presented theory.