Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Power Capacitively Coupled AC Amplifiers With Tunable Ultra Low-Frequency Operation

This paper proposes two novel and compact low-power tunable AC amplifiers with ultra-low high-pass corner frequency. The circuits are based on alternative AC capacitively coupled feedback topologies using novel implementations leading to better performance in terms of area, power and noise efficiency. This is accomplished by a combination of actively boosting the resistive value of a pseudo-resistor (allowing more than two decades of tuning) and an optimization of the active devices required. Measurement results from a fabricated prototype using a <inline-formula> <tex-math notation="LaTeX">$0.18~\mu \text{m}$ </tex-math></inline-formula> technology are provided to demonstrate the technique. The proposed amplifiers can provide tunable high-pass corner frequencies ranging from 31 mHz to 7 Hz, with power consumption as low as <inline-formula> <tex-math notation="LaTeX">$0.425~\mu \text{W}$ </tex-math></inline-formula>, CMRR of 84 dB, 0.1 mm2 area, 39.7 dB gain, and integrated IRN of <inline-formula> <tex-math notation="LaTeX">$2.42~\mu \text{V}_{\mathrm {rms}}$ </tex-math></inline-formula>.
Hiring Frictions and the Promise of Online Job Portals: Evidence from India

Despite the growing prominence of online job portals, firms remain reluctant to hire outside traditional recruitment networks. We find that experimentally providing firms with a combination of advertising and the ability to verify applicant identity increases portal-based hiring by 68 percent and the likelihood of filling a vacancy by 11 percent. Advertising attracts more skilled applicants, while verification enables the screening of unfamiliar applicants. Portal-based hires are retained beyond the standard assessment period, suggesting that they are well suited to the vacancies. Firms assigned only advertising also attract more skilled applicants, but providing neither advertising nor verification alone increases hiring. (JEL D22, J23, J24, J63, M51, O15)
Forest condition assessments and other applications of colour infrared (CIR) aerial photography in Ireland.

Colour infrared (CIR) aerial photography is a long-established tool for monitoring forest health and condition in Central Europe. Before this technique could be used to classify forest health on a large scale in Ireland, it was necessary to develop photo-interpretation keys for Sitka spruce (Picea sitchensis (Bong.) Carr. ) and lodgepole pine (Pinus contorta Dougl.). These were completed as part of an EU-wide programme for investigating methods of monitoring forest condition. With these keys, a trained operator can accurately classify the damage to individual tree crowns in terms of defoliation and discoloration, based entirely on their appearance on CIR aerial photographs. A number of important practical applications of this technique are demonstrated and discussed. These include national and regional forest condition inventories that were carried out using the interpretation keys. CIR aerial photography was successfully used to detect nutrient deficient forest stands on peat sites in midland areas of Ireland, and to monitor the subsequent response of these areas to fertilizer application. The phenomenon of top dying of Norway spruce (P. abies (L.) Karst. ) was also successfully detected and the extent of damage zoned using this resource. Information on the habit of top dying was gathered from these aerial photographs and this is discussed. Other applications for CIR aerial photography have also been studied and these are briefly described.
Miniaturised antenna at a sub‐GHZ band for industrial remote controllers

This study presents the design and the fabrication of a miniaturised sub-GHz antenna for remote control applications. Miniaturisation techniques were examined to identify the most appropriate topology for sub-GHz band requirements. First, the design parameters of the antenna were determined, and then, a commercial electromagnetic simulation tool was used for the design and optimisation phases. Then, measurements of the fabricated antenna were undertaken. Parametric studies with several iterations were performed to achieve the best possible results. Second, the effects of the box in which the antenna could be placed were examined as most of such antennas are enclosed by plastic boxes. For this purpose, material properties of a typical industrial box available in the market were studied initially, and the most appropriate material of the box was used in simulations. Finally, a polyamide box with appropriate size was fabricated, and the designed antenna was placed inside the box and the measurements were conducted. The measurement results show that the designed antenna provides resonance at the targeted license-free band with adequate size for industrial remote controllers.
Developing a multi-institutional nomogram for assessing lung cancer risk in patients with 5–30 mm pulmonary nodules: a retrospective analysis

Background The diagnosis of benign and malignant solitary pulmonary nodules based on personal experience has several limitations. Therefore, this study aims to establish a nomogram for the diagnosis of benign and malignant solitary pulmonary nodules using clinical information and computed tomography (CT) results. Methods Retrospectively, we collected clinical and CT characteristics of 1,160 patients with pulmonary nodules in Guang’an People’s Hospital and the hospital affiliated with North Sichuan Medical College between 2019 and 2021. Among these patients, data from 773 patients with pulmonary nodules were used as the training set. We used the least absolute shrinkage and selection operator (LASSO) to optimize clinical and imaging features and performed a multivariate logistic regression to identify features with independent predictive ability to develop the nomogram model. The area under the receiver operating characteristic curve (AUC), C-index, decision curve analysis, and calibration plot were used to evaluate the performance of the nomogram model in terms of predictive ability, discrimination, calibration, and clinical utility. Finally, data from 387 patients with pulmonary nodules were utilized for validation. Results In the training set, the predictors for the nomogram were gender, density of the nodule, nodule diameter, lobulation, calcification, vacuole, vascular convergence, bronchiole, and pleural traction, selected through LASSO and logistic regression analysis. The resulting model had a C-index of 0.842 (95% CI [0.812–0.872]) and AUCs of 0.842 (95% CI [0.812–0.872]). In the validation set, the C-index was 0.856 (95% CI [0.811–0.901]), and the AUCs were 0.844 (95% CI [0.797–0.891]). Results from the calibration curve and clinical decision curve analyses indicate that the nomogram has a high fit and clinical benefit in both the training and validation sets. Conclusion The establishment of a nomogram for predicting the benign or malignant diagnosis of solitary pulmonary nodules by this study has shown good efficacy. Such a nomogram may help to guide the diagnosis, follow-up, and treatment of patients.
Changes in pain perception during pregnancy after one-time maximal physical exertion and an 8-week high-intensity interval training

Background: Pain, a subjective sensation, poses a great challenge to the human body as a stressor. There is empirical evidence that moderate to intense physical activity increases pain tolerance and this may be critical during pregnancy for optimal pregnancy, fetal development, and delivery. To the best of our knowledge, it is the first study examining the changes in pain perception in pregnant women after a maximal progressive exercise test and after 8 weeks of high-intensity interval training (HIIT). Methods: Thirty-five women with uncomplicated singleton pregnancies between 13 and 28 weeks of gestation participated in the study. The HIIT intervention was developed in accordance with the recommendations and available data on HIIT during pregnancy. The maximal progressive cardiopulmonary exercise test was performed on a cycle ergometer with an electronically controlled load. Pressure pain threshold and pressure pain tolerance were measured with an algometer. Results: We found significant effects of the maximal exercise test and high-intensity interval training, such that the pregnant women had higher pain tolerance after the maximal exercise test than before and after the high-intensity interval training than the baseline. Conclusion: Our results suggest that post-exercise analgesia may be important in pregnant women and that high-intensity interval training appears to be beneficial for pregnant women to improve their pain tolerance while being obstetrically safe. Increased pain tolerance before labor could lead to better management of pain during labor and in the postpartum and lactation periods. Increasing pregnant women’s awareness of this issue can improve their wellbeing and provide more comfort during labor.
Deep Learning Approaches for Classification of Emotion Recognition based on Facial Expressions

Automated emotion recognition (AEE) plays a crucial role in numerous industries that depend on understanding human emotional responses, such as advertising, technology, and human-robot interaction, particularly within the Information Technology (IT) field. However, current systems can often come up short in comprehensively understanding an individual's emotions, as prior research has mainly focused on assessing facial expressions and categorizing them into seven primary emotions, including neutrality. In this study, we present several Deep Convolutional Neural Network (CNN) models designed specifically for the task of facial emotion recognition, utilizing the FER2013 and RAF datasets. The baseline CNN model is established through a trial-and-error method, and its results are compared with more complex deep learning techniques, including ResNet18, VGGNet16, VGGNet19, and Efficient Net-B0 models. Among these models, the VGGNet19 model achieved the best results with a test accuracy of 71.02% on the FER2013 dataset. In comparison, the ResNet18 model outperformed all other models with an 86.02% test accuracy on the RAF-DB dataset. These results underscore the potential for advancing automated emotion recognition through complex deep-learning techniques.
Single sessions of transcranial direct current stimulation and transcranial random noise stimulation exert no effect on sleepiness in patients with narcolepsy and idiopathic hypersomnia

Background Hypersomnia poses major challenges to treatment providers given the limitations of available treatment options. In this context, the application of non-invasive brain stimulation techniques such as transcranial electrical stimulation (tES) may open up new avenues to effective treatment. Preliminary evidence suggests both acute and longer-lasting positive effects of transcranial direct current stimulation (tDCS) on vigilance and sleepiness in hypersomniac patients. Based on these findings, the present study sought to investigate short-term effects of single sessions of tDCS and transcranial random noise stimulation (tRNS) on sleepiness in persons suffering from hypersomnia. Methods A sample of 29 patients suffering from narcolepsy or idiopathic hypersomnia (IH) was recruited from the Regensburg Sleep Disorder Center and underwent single sessions of tES (anodal tDCS, tRNS, sham) over the left and right dorsolateral prefrontal cortex on three consecutive days in a double-blind, sham-controlled, pseudorandomized crossover trial. The primary study endpoint was the mean reaction time measured by the Psychomotor Vigilance Task (PVT) before and directly after the daily tES sessions. Secondary endpoints were additional PVT outcome metrics as well as subjective outcome parameters (e.g., Karolinska Sleepiness Scale; KSS). Results There were no significant treatment effects neither on objective (i.e., PVT) nor on subjective indicators of sleepiness. Conclusion We could not demonstrate any clinically relevant effects of single sessions of tDCS or tRNS on objective or subjective measures of sleepiness in patients with hypersomnia. However, we cannot exclude that repeated sessions of tES may affect vigilance or sleepiness in hypersomniac patients.
Contrasting patterns of genetic and phenotypic divergence of two sympatric congeners, Phragmites australis and P. hirsuta, in heterogeneous habitats

Habitat heterogeneity leads to genome-wide differentiation and morphological and ecological differentiation, which will progress along the speciation continuum, eventually leading to speciation. Phragmites hirsuta and Phragmites australis are sympatric congeners that coexist in saline-alkaline meadow soil (SAS) and sandy soil (SS) habitats of the Songnen Meadow. The results provided genetic evidence for two separate species of reeds. Genetic diversity and spatial genetic structure supported the specialist-generalist variation hypothesis (SGVH) in these two sympatric reed species, suggesting that P. australis is a generalist and P. hirsuta is a habitat specialist. When we compared these different species with respect to phenotypic and genetic variation patterns in different habitats, we found that the phenotypic differentiation of P. australis between the two habitats was higher than that of P. hirsuta. Multiple subtle differences in morphology, genetic background, and habitat use collectively contribute to ecological success for similar congeners. This study provided evidence of the two reed congeners, which should contribute to their success in harsh environments.
Attitudes towards Receiving Monkeypox Vaccination: A Systematic Review and Meta-Analysis

Background: The public’s attitude towards Mpox vaccination is a critical factor in the success of immunisation programmes. Understanding the factors contributing to vaccine acceptance or hesitancy is critical for developing effective health communication strategies. This systematic review and meta-analysis aims to bring together evidence from observational studies on attitudes towards Mpox vaccination, including willingness and rejection. Methods: From this review’s inception until June 2023, a comprehensive search was conducted across four major electronic databases: PubMed, Web of Science, Scopus, and EBSCO. The inclusion criteria included studies investigating public attitudes towards Mpox vaccination, as defined by acceptance and willingness to be vaccinated versus rejection and unwillingness. Results: Thirty studies met the inclusion criteria among the screened literature. An analysis of 27 studies involving 81,792 participants revealed that 45,926 (56.14%) were willing to receive the Mpox vaccination. In contrast, ten studies involving 7448 participants revealed that 2156 people (28.94%) were unwilling to receive the Mpox vaccination. Females were less willing to receive the vaccine than males, with an odds ratio (OR) of 0.61 (95% CI, 0.43–0.86). Furthermore, homosexuals were found to be more willing than heterosexuals, with an OR of 1.44 (95% CI, 1.14–1.80). Conclusion: Vaccination is emerging as a critical strategy for preventing Mpox infection and fostering herd immunity against potential outbreaks. Improving public awareness and acceptance of vaccination is critical to avoiding a situation similar to the COVID-19 pandemic. Targeted educational and outreach programmes could explain the benefits of vaccination, bridging the information gap and encouraging a proactive public health approach to emerging infectious diseases.
A Double-Blind Anonymous Evaluation-Based Trust Model in Cloud Computing Environments

In the last ten years, cloud services provided many applications in various areas. Most of them are hosted in a heterogeneous distributed large-scale cloud computing environment and face inherent uncertainty, unreliability, and malicious attacks that trouble both service users and providers. To solve the problems of malicious attacks (including solo and collusion deception ones) in a public cloud computing environment, we for the first time propose a double-blind anonymous evaluation-based trust model. Based on it, cloud service providers and users are anonymously matched according to user requirements. It can be used to effectively handle some malicious attacks that intend to distort trust evaluations. Providers may secretly hide gain-sharing information into service results and send the results to users to ask for higher trust evaluations than their deserved ones. This paper proposes to adopt checking nodes to help detect such behavior. It then conducts gain–loss analysis for providers who intend to perform provider–user collusion deception. The proposed trust model can be used to effectively help one recognize collusion deception behavior and allow policy-makers to set suitable loss to punish malicious providers. Consequently, provider-initiated collusion deception behavior can be greatly discouraged in public cloud computing systems. Simulation results show that the proposed method outperform two updated methods, i.e., one based on fail-stop signature and another based on fuzzy mathematics in terms of malicious node detection ratio and speed.
Predictive Multi-Agent-Based Planning and Landing Controller for Reactive Dual-Arm Manipulation

Future robots operating in fast-changing anthropomorphic environments need to be reactive, safe, flexible, and intuitively use both arms (comparable to humans) to handle task-space constrained manipulation scenarios. Furthermore, dynamic environments pose additional challenges for motion planning due to a continual requirement for validation and refinement of plans. This work addresses the issues with vector-field-based motion generation strategies, which are often prone to local-minima problems. We aim to bridge the gap between reactive solutions, global planning, and constrained cooperative (two-arm) manipulation in partially known surroundings. To this end, we introduce novel planning and real-time control strategies leveraging the geometry of the task space that are inherently coupled for seamless operation in dynamic scenarios. Our integrated multiagent global planning and control scheme explores controllable sets in the previously introduced cooperative dual task space and flexibly controls them by exploiting the redundancy of the high degree-of-freedom (DOF) system. The planning and control framework is extensively validated in complex, cluttered, and nonstationary simulation scenarios where our framework is able to complete constrained tasks in a reliable manner, whereas existing solutions fail. We also perform additional real-world experiments with a two-armed 14 DOF torque-controlled KoBo robot. Our rigorous simulation studies and real-world experiments reinforce the claim that the framework is able to run robustly within the inner loop of modern collaborative robots with vision feedback.
The Reliability and Clinical Validation of Automatically-Derived Verbal Memory Features of the Verbal Learning Test in Early Diagnostics of Cognitive Impairment

Background: Previous research has shown that verbal memory accurately measures cognitive decline in the early phases of neurocognitive impairment. Automatic speech recognition from the verbal learning task (VLT) can potentially be used to differentiate between people with and without cognitive impairment. Objective: Investigate whether automatic speech recognition (ASR) of the VLT is reliable and able to differentiate between subjective cognitive decline (SCD) and mild cognitive impairment (MCI). Methods: The VLT was recorded and processed via a mobile application. Following, verbal memory features were automatically extracted. The diagnostic performance of the automatically derived features was investigated by training machine learning classifiers to distinguish between participants with SCD versus MCI/dementia. Results: The ICC for inter-rater reliability between the clinical and automatically derived features was 0.87 for the total immediate recall and 0.94 for the delayed recall. The full model including the total immediate recall, delayed recall, recognition count, and the novel verbal memory features had an AUC of 0.79 for distinguishing between participants with SCD versus MCI/dementia. The ten best differentiating VLT features correlated low to moderate with other cognitive tests such as logical memory tasks, semantic verbal fluency, and executive functioning. Conclusions: The VLT with automatically derived verbal memory features showed in general high agreement with the clinical scoring and distinguished well between SCD and MCI/dementia participants. This might be of added value in screening for cognitive impairment.
Comprehensive Analysis of Current Treatment Approaches for Keloids in Pediatrics: A Systematic Review

Keloids, benign fibrous growths resulting from atypical skin responses to injuries, present a complex challenge in dermatology. These lesions, characterized by excessive collagen production, often lead to physical discomfort and psychological distress. While various treatment methods exist, the lack of a universally effective modality underscores the need for a systematic evaluation of current approaches. This systematic review aims to comprehensively analyze the current available treatment modalities used for the management of keloids in the pediatric population in terms of their effectiveness, safety, and quality of life outcomes. The review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search was conducted on PubMed and Google Scholar databases to identify relevant studies published in English. The review specifically focused on randomized controlled trials involving patients under 18 diagnosed with keloids, assessing different treatment modalities, and reporting validated measures of treatment efficacy, safety outcomes, and quality of life. The risk of bias was assessed using Cochrane’s Risk of Bias Tool for randomized studies to ensure the methodological quality of the included trials. Four studies met the inclusion criteria, collectively involving 196 pediatric patients. Treatment interventions included glucocorticosteroid and fusidic acid cream with silicone gel patches, botulinum toxin type A injections, and Scarban silicone gel sheets. Patient-reported outcomes exhibited varying degrees of improvement in scar size, vascularity, and pliability. Complications, such as rash and wound infection, were reported in some cases. Based on our review of the selected studies and due to the incompletely understood pathogenesis of keloids, there is an ongoing lack of universally effective treatment modality for the management of keloids resulting in their persistently high recurrence rate.
Agricultural Applications of the Discrete Element Method

The global population has been steadily increasing, putting pressure on available resources, including agricultural land. The decrease of available agricultural land has made it difficult to sustainably produce enough food to feed the growing population. Global warming and water issues have also made it challenging to grow crops, with changing weather patterns and water scarcity affecting yields. To address these challenges, there is a need to modernize agricultural technologies. One of the available possibilities is the improvement of post-harvest technologies. By gaining more knowledge on the mechanical behavior of particulate materials using discrete element modeling, it may be possible to optimize post-harvest technologies for food processing and storage. This could lead to improvements in the quality and safety of food products while reducing waste and increasing efficiency. This paper reviews the key literature concerned with the agricultural applications and DEM parameters calibration of agricultural particles, which generally are corn, rice, wheat, soybean, sunflower seed and soil particles.