Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensemble Classifier with Heterogenous Fusion Center for Cooperative Spectrum Sensing in Cognitive Radio

Cooperative spectrum sensing (CSS) in a cognitive radio uses a fusion center, which receives local sensing decisions from multiple secondary users to predict whether primary user is present or absent. Therefore, an ensemble classifier with heterogenous fusion center (EC-HFC) is proposed in this work, where the ensemble classifier comprise three classification algorithms such as logistic regression (LR), support vector machine (SVM), and gaussian naive bayes (GNB). In addition, voting classifier with its variants also employed for finding the best suitable classifier. Further, the performance metrics such as accuracy, F1-score, area under the curve (AUC), probability of detection and probability of false alarm are computed for evaluating the performance of proposed ensemble classifier-based fusion center for cooperative spectrum sensing in cognitive radio. Finally, the obtained receiver operating characteristics (ROC) and extensive simulation results shows that proposed fusion center resulted in superior performance as compared to individual secondary users.
Is My Password Strong Enough?: A Study on User Perception in The Developing World

INTRODUCTION: The first line of defense in the cyber world is strong and difficult to predict passwords. However, users often choose highly predictable passwords based on personal information, dictionary words, birth date, etc. OBJECTIVES: The primary objective is to ascertain password choice and practices of users of developing countries. METHODS: Most of the existing studies are done in the developed world and our exhaustive search failed to find similar research in the context of developing countries. Here, we conducted detailed surveybased scrutiny about the password-based security perceptions of Bangladeshi nationals, which include 881 participants, primarily students, and professionals. RESULTS: Most of the users were found to have bad practices, for example, having personal information(56%), password reuse(69%), having commonly used patterns(81.3%). Students from technical backgrounds fared well compared to non-technical backgrounds as expected. However, some professionals (especially Bankers) surprisingly chose weaker passwords even though dealing with sensitive data. CONCLUSION: We also make a few recommendations to improve awareness.
Novel zinc sources as antimicrobial growth promoters for monogastric animals: a review

Abstract The essentiality of zinc for animals has been recognized over 80 years. Zinc is an essential trace element that is a component of many enzymes and is associated with the various hormones. Apart from the nutritional function, zinc has antimicrobial property and often be supplemented in diets in the quantities greater than which is required to meet the nutritional requirement, especially for weaning pigs. This review will focus on the application of pharmacological zinc and its mechanisms which may be responsible for the effects of zinc on performance and health of monogastric animals. Various novel sources of zinc in non-ruminant animal production will also be discussed. These should assist in more precisely formulating feed to maximize the production performance and to maintain the health condition of monogastric animals.
Novel Word Recognition in Childhood Stuttering

Language skills have long been posited to be a factor contributing to developmental stuttering. The current study aimed to evaluate whether novel word recognition, a critical skill for language development, differentiated children who stutter from children who do not stutter. Twenty children who stutter and 18 children who do not stutter, aged 3–8 years, completed a novel word recognition task. Real-time eye gaze was used to evaluate online learning. Retention was measured immediately and after a 1-hr delay. Children who stutter and children who do not stutter exhibited similar patterns of online novel word recognition. Both groups also had comparable retention accuracy. Together, these results revealed that novel word recognition and retention were similar in children who stutter and children who do not stutter. These patterns suggest that differences observed in previous studies of language in stuttering may not be driven by novel word recognition abilities in children who stutter.
Literary poetic tradition: An archetypal analysis of selected Kagan poems

This study aimed to analyze selected Kagan poems; understand their poem preservation and hopes about their literature, culture and the tribe. The qualitative design using archetypal criticism and phenomenological approaches were employed. Corpora were downloaded from credible resource in the internet and with cultural significance of 14 Kagan tribesmen from Tagum City, Davao del Norte. Results shown in archetypal analysis symbols were: sweetheart, heart, marriage, work, lover, past days, strength of my body, life, world, feast, days and nights, trouble, death, healing, snake, secret, handkerchief, tigers, lions and elephant, cliff, wild chicken, kingfisher and hawk, old woman, old man, oldest boy, water, ring, nice clothes, yellow, tomb, celebration, seventh mountain, river of Jordan, God, horses with wings, golden palace, mosque, gold, old couple and child. For Second research question, emerged themes were: use poems as lullaby, teach poems to the youth, let children repeatedly recite the poems and showcase the poems in social gatherings and special occasions. Last research question elicited themes were: poems and literature be preserved, literature be handed down from one generation to another generation, continuously educate the youth about Kagan literature and practices, use modern technology as archive of Kagan literature, Kagan’s cultural identity as tribe be reflected in poems and Kagan literature and cultural practices be appreciated. Hence, archetypal features from the corpora provided that these were culturally significant and universally accepted.
Analytical Coding of In-Depth Interviews for Studying the Identities of Karelian and Pomor Women

Abstract. This article presents an example of in-depth interview analysis using software tools for analytical text coding. The study was based on a joint interview with a Karelian woman and a Pomor woman recorded during a 2021 summer expedition to Knyazhaya Guba Village (Murmansk Region, Russia). The villagers belonged to different ethnic groups, which have been in the area for a long time. It was of interest to study the self-identity of the Karelians and Pomors and the ethnic and cultural boundaries they draw. The article analyzes the constituent elements of the Karelian and Pomor identity highlighted by the informants, including ethnic markers, symbolic appropriation of the space, and perception of the surrounding landscape. We preliminarily conclude that the regional identity prevails. Regional identity in this sense is more of a figurative and emotional category, not only the administrative-unit affiliation. Both groups have adapted to the peculiar northern lifestyle, while preserving their distinctive markers – the language and place of birth for Karelians, and the value frame of reference among Pomors, which is associated with a focus on fishing and cooperative labor. Keywords: ethnicity, qualitative data analysis, analytical coding, Karelians, Pomors
Australian Indigenous Knowledge in the Undergraduate Teaching Laboratory

The introduction of Indigenous knowledges (IK) and perspectives to the curriculum is an important step in decolonising the curriculum, and in reconciliation. This study explored the impact of a short laboratory project in the context of a traditional Aboriginal remedy (bush medicine), on final year Analytical Chemistry students. Samples were taken from the Sandpaper fig both off- and on-country, and students designed their own investigation to determine whether the chemicals present differed with location. The activity required no dedicated cultural awareness training, and did not involve student interaction with an Indigenous academic. A video made by one of the authors supported the students’ cultural learning and understanding. The findings indicate that the students displayed a respectful consideration of IK and Indigenous perspectives. However, the students’ inherent aversion to the idea of combining Indigenous and non-Indigenous knowledges, meant that they did not effectively bring Indigenous perspectives to bear within their own investigation. Students believed that the inclusion of Indigenous methods of inquiry in a modern laboratory setting made the IK feel inauthentic. We provide recommendations for more structured approaches to learning when integrating IK/perspectives and Western Scientific practices to allow students to comfortably navigate through IK within a modern context.
Reduced System Complexity of Heart Rate Dynamics in Patients with Hyperthyroidism: A Multiscale Entropy Analysis

Studying heart rate dynamics would help understand the effects caused by a hyperkinetic heart in patients with hyperthyroidism. By using a multiscale entropy (MSE) analysis of heart rate dynamics derived from one-channel electrocardiogram recording, we aimed to compare the system complexity of heart rate dynamics between hyperthyroid patients and control subjects. A decreased MSE complexity index (CI) computed from MSE analysis reflects reduced system complexity. Compared with the control subjects (n = 37), the hyperthyroid patients (n = 37) revealed a significant decrease (p < 0.001) in MSE CI (hyperthyroid patients 10.21 ± 0.37 versus control subjects 14.08 ± 0.21), sample entropy for each scale factor (from 1 to 9), and high frequency power (HF) as well as a significant increase (p < 0.001) in low frequency power (LF) in normalized units (LF%) and ratio of LF to HF (LF/HF). In conclusion, besides cardiac autonomic dysfunction, the system complexity of heart rate dynamics is reduced in hyperthyroidism. This finding implies that the adaptability of the heart rate regulating system is impaired in hyperthyroid patients. Additionally, it might explain the exercise intolerance experienced by hyperthyroid patients. In addition, hyperthyroid patients and control subjects could be distinguished by the MSE CI computed from MSE analysis of heart rate dynamics.
Educational travellers and destination appeal: Deconstructing intrinsic motivations

Using self-determination theory, the authors explore whether destination appeal enhances intrinsic motivations to study abroad. Primary data gathered from inbound and outbound educational travellers in Paris, France were analysed using Structural Equation Modelling. It was confirmed that the mediating effect of destination appeal enhances intrinsic motivations for studying abroad. A discussion follows about how destinations can enhance educational travellers’ autonomous decision-making through two self-contextual influences – information and external control. Destination authorities can potentially address a society-wide issue – the lesser performance of extrinsically motivated students. The authors discuss implications for stakeholders, including institutions and DMOs.
Modular Combined DC-DC Autotransformer for Offshore Wind Power Integration with DC Collection

Offshore wind farms (OWFs) integration are attractive extensively for furnishing more robust power than land wind farms. This paper introduces a modular combined DC-DC autotransformer (MCAT), which contributes to the offshore wind power integration of DC grids with different voltage levels. Traditional DC transformers contains medium- or high-frequency converter transformers, which have the disadvantages of high manufacturing difficulty and cost. These shortcomings seriously affect the progress of commercial application of DC transformers. To solve these problems, in the proposed MCAT, converter transformers are replaced with a DC-isolation capacitor and a compensation inductor in series to reduce the footprint of offshore platforms and improve economy. Theoretical analysis is carried out for the MCAT operation principle. Selection methods of main circuit parameters for the MCAT are discussed in detail. Then, corresponding control strategies of the MCAT are proposed. Finally, the effectiveness of the proposed MCAT and its control strategies are validated by time domain simulations in PSCAD/EMTDC. The time-domain simulation results show the correctness of the main circuit parameters and the rationality of the MCAT control strategies.
Moving Control of Sea-Bed Mining Vehicle Based on ANFIS

Due to the problem of the sea-bed mining vehicle deviating from the prescribed path in the process of working,a kind of control method of linear path tracking based on adaptive neuro-fuzzy inference(ANFIS) is presented,and the fuzzy neural network controller is designed according to training date,thus avoiding the difficulty of establishing the expert knowledge base and the accurate mathematical model in the process of control.On this basis,the electro-mechanical travelling control model of inner loop using PID speed control and outer loop using ANFIS path control is established.The simulation which is about the vehicle deviating from the prescribed path when climbing over unilateral obstacles is achieved.The simulation results show the correctness of the model and the validity of the proposed method.
Cefazolin Plus Ceftazidime versus Cefazolin Monotherapy in the Treatment of Culture-Negative Peritonitis: A Retrospective Cohort Study

Background Based on current ISPD guidelines, it is unclear as to whether ceftazidime should be discontinued in subsequent management of culture-negative peritonitis if it is used as empirical gram-negative coverage. Herein, we aim to compare the clinical outcomes of cefazolin plus ceftazidime versus cefazolin alone. Methods This was a retrospective cohort study. Adult peritoneal dialysis (PD) patients who were diagnosed with culture-negative peritonitis between 2014 and 2020 were included. Patients were categorized into two groups according to treatment regimen. Primary response rate, peritonitis relapse rate, and time to primary response were compared. Factors that predicted primary response were determined using Cox regression analysis. Results A total of 58 patients were included in the study. Of these, 42 received cefazolin plus ceftazidime and 16 received cefazolin monotherapy. Overall, the mean age was 65.7±10.4 years. Most of the patients (81.3%) were prescribed continuous ambulatory peritoneal dialysis. Initial effluent WBC was 4211±10357 in the combination group and 3833±6931 cell/mm3 in the monotherapy group (p=0.89). There was no significant difference in primary response at day 5 between the two groups (95.2% in the combination group vs93.7% in the monotherapy group, p=0.82). However, cumulative probability of primary response by the Kaplan–Meier analysis in the combination group was higher than in the monotherapy group (p=0.02). Adjusted HR of serum potassium level to predict a primary response was 1.83 according to multivariate analysis (p=0.03). There was no difference between the two groups in terms of peritonitis relapse or catheter removal. Conclusion This is the first study to compare clinical outcomes between cefazolin plus ceftazidime versus cefazolin monotherapy in culture-negative peritonitis. Our results suggest that if peritonitis is resolving at day 3, discontinuation of ceftazidime could yield favorable treatment outcomes and might be appropriate for subsequent management. However, the risk of not having gram-negative coverage should be considered.
GRA-PIN: A Graphical and PIN-Based Hybrid Authentication Approach for Smart Devices

In many smart devices and numerous digital applications, authentication mechanisms are widely used to validate the legitimacy of users’ identification. As a result of the increased use of mobile devices, most people tend to save sensitive and secret information over such devices. Personal Identification Number (PIN)-based and alphanumeric passwords are simple to remember, but at the same time, they are vulnerable to hackers. Being difficult to guess and more user-friendly, graphical passwords have grown in popularity as an alternative to all such textual passwords. This paper describes an innovative, hybrid, and much more robust user authentication approach, named GRA-PIN (GRAphical and PIN-based), which combines the merits of both graphical and pin-based techniques. The feature of simple arithmetic operations (addition and subtraction) is incorporated in the proposed scheme, through which random passwords are generated for each login attempt. In the study, we have conducted a comparative study between the GRA-PIN scheme with existing PIN-based and pattern-based (swipe-based) authentications approaches using the standard Software Usability Scale (SUS). The usability score of GRA-PIN was analyzed to be as high as 94%, indicating that it is more reliable and user friendly. Furthermore, the security of the proposed scheme was challenged through an experiment wherein three different attackers, having a complete understanding of the proposed scheme, attempted to crack the technique via shoulder surfing, guessing, and camera attack, but they were unsuccessful.
Adaptive Fuzzy Control for Permanent Magnet Spherical Motor Based on Friction Compensation

Due to the influence of friction items,a permanent magnent spherical motor(PMSM) control system may appear quality deterioration.To overcome the problem,a friction compensation adaptive control scheme based on fuzzy approximation was proposed.Firstly,the dynamic model of the rotor including friction items expressed with Carden angle rotation was set up.Secondly,the control scheme based on known model and nominal model were individually designed.In order to reduce the number of fuzzy rules,an improved adaptive controller with fuzzy compensation was used to eliminate the second controller's friction and system uncertainties.The parameters of control law were adaptively tuned based on Lynapunov stability theory.The proposed scheme can guarantee the stabilization of the closed-loop system.Simulation results demonstrate that the proposed scheme can realize friction and uncertainty signals' compensation effectively,hence the tracking control performance of the spherical motor is improved.
Aircraft Landing Gear Retraction/Extension System Fault Diagnosis with 1-D Dilated Convolutional Neural Network

The faults of the landing gear retraction/extension(R/E) system can result in the deterioration of an aircraft’s maneuvering conditions; how to identify the faults of the landing gear R/E system has become a key issue for ensuring aircraft take-off and landing safety. In this paper, we aim to solve this problem by proposing the 1-D dilated convolutional neural network (1-DDCNN). Aiming at developing the limited feature information extraction and inaccurate diagnosis of the traditional 1-DCNN with a single feature, the 1-DDCNN selects multiple feature parameters to realize feature integration. The performance of the 1-DDCNN in feature extraction is explored. Importantly, using padding dilated convolution to multiply the receptive field of the convolution kernel, the 1-DDCNN can completely retain the feature information in the original signal. Experimental results demonstrated that the proposed method has high accuracy and robustness, which provides a novel idea for feature extraction and fault diagnosis of the landing gear R/E system.
Autoimmune Autonomic Ganglionopathy Presenting as Constipation

Autoimmune autonomic ganglionopathy (AAG) is a rare post-ganglionic disorder that causes a range of symptoms, often including gastrointestinal disorders. Patients may be seropositive or seronegative for antibodies against the nicotinic acetylcholine receptor. Here, we describe the case of a 56-year-old woman with a previous diagnosis of sensorimotor peripheral neuropathy who presented with severe constipation that was not responsive to laxative therapy. The evaluation showed diffuse colonic hypomotility, rectal hypersensitivity, and type IV pelvic floor dysfunction. The patient was diagnosed 10 months after the presentation as having seronegative AAG, and she responded well to treatment with intravenous methylprednisolone and apheresis.
Red and Processed Meat Intake in Relation to Non-Alcoholic Fatty Liver Disease Risk: Results from a Case-Control Study

Data on the association between dietary red meat intake and non-alcoholic fatty liver disease (NAFLD) are limited. We designed this case-control study to determine the association between red and processed meat consumption and risk of NAFLD in Iranian adults. A total of 999 eligible subjects, including 196 NAFLD patients and 803 non-NAFLD controls were recruited from hepatology clinics in Tehran, Iran. A reliable and validated food frequency questionnaire was used to evaluate the red and processed meat intakes. The analyzes performed showed that in an age- and gender-adjusted model, patients with the highest quartile of red meat intake had an approximately three-fold higher risk of NAFLD than those with the lowest quartile of intake (odds ratio [OR], 3.42; 95% confidence interval [CI], 2.16–5.43; p value < 0.001). Moreover, patients in the highest quartile of processed meat intake had a 3.28 times higher risk of NAFLD, compared to the lowest quartile(OR, 3.28; 95% CI, 1.97–5.46; p value < 0.001). Both these associations remained significant by implementing additional adjustments for body mass index, energy intake, dietary factors, diabetes, smoking, and physical activity (OR, 3.65; 95% CI, 1.85–7.18; p value < 0.001 and OR, 3.25; 95% CI, 1.57–6.73; p value = 0.002, respectively). Our findings indicate that both red and processed meat intakes are related to the increased odds of NAFLD; however, prospective studies are needed to confirm these results.
Movement Rule of Shallowly-Buried Thick Coal Seams with Hard Top Coal and Roof

To adopt fully mechanized top caving method for the shallowly-buried thick coal seam,the hard top coal and roof fracturing and moving were observed and analyzed and the mechanical model of roof breaking established.Based on the deep-base point method,the underground pressure observing station was set up in the full mechanized top caving workface 4101 of Anjialing Mine to observe the top coals and roofs of different levels.The data about fracturing and movement condition of the top coal and roof were obtained and the movement rule was analyzed.The result shows that the top coal falls with workface advancing,and the points at which the top coal and roof start to move is quite close to the working face,with the top coal being 10 m and the roof,15 m,ahead of the working face,and the displacement of the top coal is small.Because the top coal and roof of workface 4101 can timely fall down with workface advancing,no artificial measure is needed.
Desensitized motion planning for underactuated multibody systems

Model-plant mismatches can severely limit the effectiveness of conventional model-based motion design methods. To solve this issue, a method for robust trajectory planning that can reduce the effects of parametric uncertainties is presented in this work. The method is based on an indirect variational formulation, which is translated into a Two-Point Boundary Value Problem (TPBVP) and then solved numerically. Robustness is obtained by incorporating into the problem the sensitivity functions of the plant, and imposing some additional constraints on the initial and ﬁnal points of the trajectory. A formulation aimed at reducing both the residual and the transient oscillations, as well as keeping small the control effort, is also proposed. The work presents a numerical veriﬁcation of the effectiveness of the method for an underactuated system, such as a double-pendulum crane, by showing its effectiveness and robustness when performing fast rest-to-rest motions.