Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensor Fusion-Based Anthropomorphic Control of a Robotic Arm

The main goal of this research is to develop a highly advanced anthropomorphic control system utilizing multiple sensor technologies to achieve precise control of a robotic arm. Combining Kinect and IMU sensors, together with a data glove, we aim to create a multimodal sensor system for capturing rich information of human upper body movements. Specifically, the four angles of upper limb joints are collected using the Kinect sensor and IMU sensor. In order to improve the accuracy and stability of motion tracking, we use the Kalman filter method to fuse the Kinect and IMU data. In addition, we introduce data glove technology to collect the angle information of the wrist and fingers in seven different directions. The integration and fusion of multiple sensors provides us with full control over the robotic arm, giving it flexibility with 11 degrees of freedom. We successfully achieved a variety of anthropomorphic movements, including shoulder flexion, abduction, rotation, elbow flexion, and fine movements of the wrist and fingers. Most importantly, our experimental results demonstrate that the anthropomorphic control system we developed is highly accurate, real-time, and operable. In summary, the contribution of this study lies in the creation of a multimodal sensor system capable of capturing and precisely controlling human upper limb movements, which provides a solid foundation for the future development of anthropomorphic control technologies. This technology has a wide range of application prospects and can be used for rehabilitation in the medical field, robot collaboration in industrial automation, and immersive experience in virtual reality environments.
OmpC and OmpF Outer Membrane Proteins of Escherichia coli and Salmonella enterica Form Bona Fide Amyloids

Outer membrane proteins (Omps) of Gram-negative bacteria represent porins involved in a wide range of virulence- and pathogenesis-related cellular processes, including transport, adhesion, penetration, and the colonization of host tissues. Most outer membrane porins share a specific spatial structure called the β-barrel that provides their structural integrity within the membrane lipid bilayer. Recent data suggest that outer membrane proteins from several bacterial species are able to adopt the amyloid state alternative to their β-barrel structure. Amyloids are protein fibrils with a specific spatial structure called the cross-β that gives them an unusual resistance to different physicochemical influences. Various bacterial amyloids are known to be involved in host-pathogen and host-symbiont interactions and contribute to colonization of host tissues. Such an ability of outer membrane porins to adopt amyloid state might represent an important mechanism of bacterial virulence. In this work, we investigated the amyloid properties of the OmpC and OmpF porins from two species belonging to Enterobacteriaceae family, Escherichia coli, and Salmonella enterica. We demonstrated that OmpC and OmpF of E. coli and S. enterica form toxic fibrillar aggregates in vitro. These aggregates exhibit birefringence upon binding Congo Red dye and show characteristic reflections under X-ray diffraction. Thus, we confirmed amyloid properties for OmpC of E. coli and demonstrated bona fide amyloid properties for three novel proteins: OmpC of S. enterica and OmpF of E. coli and S. enterica in vitro. All four studied porins were shown to form amyloid fibrils at the surface of E. coli cells in the curli-dependent amyloid generator system. Moreover, we found that overexpression of recombinant OmpC and OmpF in the E. coli BL21 strain leads to the formation of detergent- and protease-resistant amyloid-like aggregates and enhances the birefringence of bacterial cultures stained with Congo Red. We also detected detergent- and protease-resistant aggregates comprising OmpC and OmpF in S. enterica culture. These data are important in the context of understanding the structural dualism of Omps and its relation to pathogenesis.
Large-scale 3D Inversion of Helicopter Electromagnetic Surveys for Oil Sands Exploration near Fort McMurray, Alberta, Canada

Summary Helicopter time-domain electromagnetic (HTEM) systems have dominated the airborne electromagnetic (AEM) industry for mineral exploration and environmental studies over the past decade. This is, in large part, a result of the high spatial resolution, excellent depth of investigation, and operational versatility. For oil exploration and related environmental due diligence near Fort McMurray, Alberta, recent interest in HTEM has been driven by the requirement for a cost-effective method for characterizing surface mineable oil sands and shallow steam-assisted gravity drainage (SAGD) prospects. The primary advantage of HTEM is that high-resolution data can be easily and safely acquired over large areas with zero surface disturbances at a fraction of the cost of seismic reflection. Moreover, HTEM data can now be interpreted with full 3D inversion, obviating prior reliance on various 1D methods. In this paper, we present a case study for the 3D inversion of HTEM data for oil sands exploration near Fort McMurray.
Research on Flesh Texture and Quality Traits of Kiwifruit (cv. Xuxiang) with Fluctuating Temperatures during Cold Storage

Kiwifruits are often exposed to various temperature fluctuations (TFs) during postharvest transportation and storage. To evaluate the effect of TFs on the qualities of kiwifruits during storage, kiwifruits were stored at 2 °C, 2 °C or 5 °C (TF2 °C–5 °C, alternating every 12 h), 2 °C or 7 °C (TF2 °C–7 °C, alternating every 12 h) for 3 d before long time storage at 2 °C. Observations revealed that kiwifruits stored at a constant 2 °C showed the lowest loss of weight and vitamin C because of minimized ethylene production and respiratory rate compared with that of TF2 °C–5 °C and TF2 °C–7 °C. Moreover, the results of RT-qPCR verified that the expression levels of genes encoding polygalacturonase, β-galacturonidase, and pectin methylesterase were significantly increased by the treatment of TF. Hence, TF accelerated the degradation of cell walls, softening, translucency, and relative conductivity of the flesh of kiwifruits. In addition, the impact of TF2 °C–7 °C on kiwifruits was more significant relative to TF2 °C–5 °C. The present study provides a theoretical basis for kiwifruit during cold storage.
Influence of Diet on the Bioavailability of Active Components from Zingiber officinale Using an In Vitro Digestion Model

Ginger (Zingiber officinale Rosc.) is a plant known all over the world that is used as a spice and as an ingredient in drinks, dietary supplements, and cosmetics. The growing availability of its fresh rhizomes makes it even more likely to be used in the diet, mainly due to its beneficial health properties and high content of polyphenols (gingerols and shogaols). The main goal and motivation of the authors was to assess the bioavailability of active substances contained in the extract from ginger rhizomes in the presence of various types of diets using the in vitro digestion method, enabling simulation of the processes occurring during the digestion and absorption of metabolites in the small intestine. For the qualitative and quantitative analyses, the HPLC-MS (High Performance Liquid Chromatography–Mass Spectrometry) and HPLC (High Performance Liquid Chromatography) techniques were used, respectively. Based on the obtained results, it was found that the best bioavailability of the selected ginger polyphenols (6-gingerol, 8-gingerdione, 8-shogaol, and 10-gingerdione) was estimated for a high-fiber diet, while the weakest results were obtained for standard and basic diets. In the case of the high-fiber diet, the bioavailability of the mentioned compounds was estimated as 33.3, 21.4, 6.73, and 21.0%, while for the basic diet, it was only 21.3, 5.3, 2.0, and 1.0%, respectively.
Mothers’ and Children’s Mental Distress and Family Strain during the COVID-19 Pandemic: A Prospective Cohort Study

Background: The COVID-19 pandemic had a widespread impact on families with dependent children. To better understand the impact of the pandemic on families’ health and relationships, we examined the association between mothers’ and children’s mental distress and family strain. Methods: Three waves of the COVID-19 Impact Survey were analyzed, collected from a subsample of mother–child pairs (n = 157) from the Alberta Pregnancy Outcomes and Nutrition (APrON) longitudinal cohort in Alberta, Canada. Latent class analyses were performed to determine patterns and group memberships in mothers’ and children’s mental distress and family strain. Multivariable logistic regression models were conducted to test associations between mothers’ and children’s mental distress and family strain trajectory classes. Results: Mothers with medium/high levels of mental distress were at increased odds of experiencing high family strain compared to those with low levels of distress (medium aOR = 3.90 [95% CI: 1.08–14.03]; high aOR = 4.57 [95% CI: 1.03–20.25]). The association between children’s mental distress and family strain was not significant (aOR = 1.75 [95% CI: 0.56–5.20]). Conclusion: Mothers’ mental distress, but not children’s, was associated with family strain during the pandemic. More distressed individuals experienced greater family strain over time, suggesting that this association may become a chronic problem.
Symptom Clusters in Survivorship and Their Impact on Ability to Work among Cancer Survivors

Simple Summary Lasting impacts and symptoms of cancer treatment can affect survivors’ daily lives. We explored how symptoms and symptom clusters can impact the ability to work among 561 cancer survivors previously diagnosed with breast, colorectal, and haematological malignancies, who were on average 58 years old and 1.5 years since diagnosis. We found almost 35% of survivors reported limitations in their ability to work. We identified three main symptom clusters: pain, emotional, and cognitive symptoms. Survivors experiencing these symptom clusters were approximately 14–17% more likely to report limitations in their work ability. Older survivors and those with more advanced cancer stages were also more likely to experience limitations in their work ability. In conclusion, a significant number of cancer survivors struggle to work due to their symptoms after treatment. Out results suggest that by better understanding and managing these symptoms, survivors can have improved opportunities to participate in work after their cancer treatment. Abstract Background: Cancer survivors often experience a range of symptoms after treatment which can impact their quality of life. Symptoms may cluster or co-occur. We aimed to investigate how symptoms and symptom clusters impact the ability to work among cancer survivors. Methods: We used symptom severity data and ability to work data routinely collected from cancer survivors attending a survivorship clinic after primary treatment with curative intent. We defined symptom clusters using single linkage and a threshold on the rescaled distances of <10. We then conducted a logistic regression to examine how symptoms and symptom clusters were related to the ability to work. Results: We analysed data from 561 cancer survivors, mean age 58 years and 1.5 years post diagnosis, with mixed diagnoses including breast (40.5%), colorectal (32.3%), and haematological cancers (15.3%). Limitations to work ability were reported by 34.9% of participants. Survivors experiencing pain, emotional, and cognitive symptom clusters were 14–17% more likely to report limitations in their ability to work. Older survivors and those with a higher stage disease were more likely to report limitations in their ability to work. Conclusion: A better understanding and management of symptom severity and symptom clusters may help the sizable proportion of cancer survivors experiencing symptoms to participate in work after treatment.
SHORT-TERM WIND SPEED FORECAST BASED ON ARMA MODEL IN JEJU ISLAND

Abstract – From the results of previous my paper [10] in 2015 year of economic and electrical power storage research conference in Naju, this paper describes an application of autoregressive and moving average (ARMA) model to forecast hourly average wind speed (HAWS) in Jeju island. The models are used to build up short-term forecast of hourly average wind speed by the weighted sum of previous wind speed values.
Extract and fraction of cashew nut testa ameliorate the hyperglycemic mice induced by Streptozotocin and high-fat diet

Drug strategy is a standard method for treating type 2 diabetes mellitus (T2D), a non-communicable disease with increasing prevalence, which may cause side effects. Therefore, natural compounds with limited adverse effects have come back into vogue for treating T2D. This study aims to evaluate the effects on rehabilitating hyperglycemic mice of cashew nut testa (husk) extract and fraction known as potential bio-substances for improvement in T2D. First, the hyperglycemic mice were induced with a high-fat diet (HFD) for 4 weeks and then were injected with streptozotocin (STZ, dozen for injection was 40 mg/kg/week) for 2 weeks. Next, the confirmed hyperglycemic mice were treated with pioglitazone (HG+PG group), total extract (HG+TE group), and saponin-rich fraction (HG+SRF group) for 3 weeks. Then, the evaluation was based on body mass; blood glucose (BG) level; BG tolerance, lipid profile, pancreatic histology and the expression IRS-1 in the pancreas. The results showed that body mass and BG level significantly increased in hyperglycemic mice. After substance treatment, there was no change in body mass in TE and SRF groups. However, BG level of HG+TE group mice significantly decreased compared to hyperglycemic mice and only BG tolerance of HG+SRF group was improved. Besides, HG+TE and HG+SRF groups modulated the triglyceride, HDL and LDL close to those expressed in normal mice. In addition, histological images of the pancreas revealed the restoration in both HG+TE and HG+SRF groups. Simultaneously, the IRS-1 expression in HG+TE group pancreas was restored to its expression in normal mice. These results demonstrate that the TE and SRF of cashew nut testa could ameliorate BG, lipid profile and pancreatic IRS-1 expression and restore the damaged pancreas and islets in hyperglycemic mice.
Infrastructure-Less Long-Range Text-Messaging System

This paper proposes an ongoing work on a novel Internet of Things (IoT) text-messaging system that leverages LoRa communications to interconnect end-users. The system aims to provide efficient and reliable communication between IoT devices by establishing a robust backbone network capable of combating packet flooding. With LoRa, the system achieves extended coverage, allowing devices in remote areas to stay connected while permanent network infrastructures are absent. Moreover, the system emphasizes the importance of user-friendly text messaging, providing a familiar and intuitive means of communication for end-users. By integrating the simplicity of text messaging combined with the long-range capabilities of LoRa, the system enables seamless and efficient communication across various IoT devices, enhancing user experience and promoting widespread adoption. Through extensive testing and evaluation, the system demonstrates its effectiveness in establishing a reliable and scalable IoT text-messaging infrastructure with a very low overhead.
Physiotherapy Approach to a Stage V Parkinson’s Disease Patient: A Case Report

Parkinson’s disease (PD) is a neurodegenerative disorder caused due to decreased dopamine, a neurotransmitter, advancing to a range of motor and non-motor attributes. There is a death of dopamine-producing neurons (dopaminergic neurons) in the Substantia Nigra. Bradykinesia, postural instability, resting tremor, and rigidity are four main symptoms in this patient. A variety of other symptoms, like hypomimia, micrographia, freezing gait, decreased movement amplitude, constipation, cognitive impairments, etc., can be seen in this patient. In this paper, we report a 62-year-old female with stage 5 PD with chief complaints of uncoordinated movements, weakness, and difficulty in daily activities. She was treated with strengthening, stretching, Lee Silverman Voice Treatment (LSVT) BIG, bed mobility, gait training with auditory cueing, balance training, etc. LSVT-BIG enhances motor function by incorporating high amplitude motions of high intensity, consisting of numerous repetitions and progressive complexity. At the end of three weeks, the patient had improved strength, static and dynamic balance, gait, and quality of life.
Predictive Control Scheme Compensation in Feed-Forward Control Scheme for Interleaved Connected PFC Power Converter System

A buck-boost converter is used chiefly for PFC purposes in power electronics converter systems because the voltage regulation in a PFC converter can easily be made using a buck-boost converter. In this paper, using the differential equations of a buck-boost converter, an already obtained feed-forward control method is extended into the predictive control method. The purpose of compensating a predictive control is to tackle white noise interference better by improving the technique of the PWM generation process in a way that the PWM signals are generated at once for each half cycle for the unity power factor. An interleaved case of two buck-boost converters is considered for this study. Implementing the predictive control into feed-forward control significantly increases the system's power factor by reducing the total harmonic distortion, even in terms of noise interfering with the feedback signals. The system achieves high efficiency by using interleaved connected low voltage-rated MOSFETs. The validation of our scheme is performed with the help of using MATLAB/Simulink.
Cyclic Impulse Spectrum Analysis of Time-Frequency Slices for Axle-Box Bearing Fault Identification

For the incipient fault weakness, irregular pulse disturbance, and pseudo-cyclic periodicity of localized damage impact in the fault diagnosis of axle-box bearing (ABB) under complex service environments, the cyclic impulse spectrum (CIS) based on time-frequency spectrogram slicing is proposed to discriminate repetitive transients under noise contamination. In this approach, a new indicator called the cyclic impulse degree (CID) is designed based on the coefficient of variation of the impulse peak moment within a specified time-shifted periodic window, which allows for a generalization of impulsiveness and pseudo-cyclic periodicity to quantify the characteristics of bearing fault impacts. First, the normalized S transform (NST) highlights the energy distribution of fault impacts in the time–frequency plane, from which the CID is constructed to distinguish the cyclic impulses from random transients. Secondly, the NST slice at the frequency associated with the maximum integrated CID is used as a spare representation of fault impact response. Finally, the CIS derived from the NST slice presents the fault characteristic frequencies clearly and accurately. The numerical simulation and data processing results of the ABB faults demonstrated that the CIS can identify the multiple faults of ABB, but also exhibits good performance in resisting random transient interference and discriminating noise-contaminated periodic impulses caused by the bearing localized defects.
Application of Grey System Theory in Evaluating Paddyfield Soil Quality——A Case Study of Qianwei County,Sichuan Province

On the basis of the investigation and analysis of soil nutrient components in paddyfield,referring to the sampling tested results of the Soil and Fertilizer Station of 16 villages and towns' foothill and plain regions in Qianwei county,2004 that were tested by the Soil and Fertilize Testing Center in Leshan city, 2004.Evaluated indexes involved organt matter,total N,available N,valid P,available K,pH value, tilth,the guarantee of waterhead,the drainage situation,limited factors.The Grey Correlation Theory is applied to comprehensive evaluation of representative paddyfield soil quality.The results show:more pad- dyfield soil quality levels of Qianwei county almost are of levelsⅢ,Ⅳ;both the better paddyfield soil qual- ity levels ofⅠandⅡand the worse paddyfield soil quality levels ofⅤandⅥare less.
Anastomosis between the facial nerve – ansa cervicalis and the facial nerve – hypoglossal nerve in rabbits: technical note for a practical use in peripheral facial palsy

Background and aims To emphasize the importance of laboratory dissections in perfecting surgical techniques. In this paper, we describe the technical details on rabbit dissection for practical applications. Methods Four New Zealand rabbits were distributed into two groups and underwent anastomosis between the Facial Nerve and Ansa Cervicalis (group 1) and between the Facial Nerve and Hypoglossal Nerve (group 2). They were clinically and neurophysiologically evaluated after ten weeks. Electroneurography with skin electrodes were used to identify the motor activity of the involved muscles and nerves. Facial and ipsilateral tongue reinnervation was analyzed 40 weeks after anastomosis. Evoked electromyographic muscle tension was used to evaluate facial and tongue reinnervation. Results Facial and ipsilateral tongue reinnervation was analyzed 40 weeks after anastomosis. Recorded evoked potentials showed improvement in facial reinnervation in all four rabbits. Rabbits undergoing FN-HN anastomosis still showed ipsilateral lingual paresis, based on EMG tests. The survival rate was 100%. Conclusions The laboratory dissection plays a crucial role in training surgical specialists to achieve favorable patient outcomes. Both types of anastomosis can be used to achieve facial reinnervation; however, it is imperative to prevent ipsilateral lingual paralysis that may arise from using the hypoglossal nerve.
Identification of mobile development issues using semantic topic modeling of Stack Overflow posts

Background Increasing demands for mobile apps and services have recently led to an intensification of mobile development activities. With the proliferation of mobile development, there has been a major transformation in the architectures, paradigms, knowledge domains and skills of traditional software systems towards mobile development. Therefore, mobile developers experience a wide spectrum of issues specific to development processes of mobile apps and services. Methods In this article, we conducted a semantic content analysis based on topic modeling using mobile-related questions on Stack Overflow, a popular Q&A site for developers. With the aim of providing an understanding of the issues and challenges faced by mobile developers, we used a semi-automated methodology based on latent Dirichlet allocation (LDA), a probabilistic and generative approach for topic modeling. Results Our findings revealed that mobile developers’ questions focused on 36 topics in six main categories, including “Development”, “UI settings”, “Tools”, “Data Management”, “Multimedia”, and “Mobile APIs”. Besides, we investigated the temporal trends of the discovered issues and their relationships with mobile technologies. Our findings also revealed which issues are the most popular and which issues are the most difficult for mobile development. The methodology and findings of this study have valuable implications for mobile development stakeholders including tool builders, developers, researchers, and educators.