Miracle-dz/UniFAR-FTUs huggingface dataset:
Naturally Occurring Antioxidant Therapy in Alzheimer’s Disease

It is estimated that the prevalence rate of Alzheimer’s disease (AD) will double by the year 2040. Although currently available treatments help with symptom management, they do not prevent, delay the progression of, or cure the disease. Interestingly, a shared characteristic of AD and other neurodegenerative diseases and disorders is oxidative stress. Despite profound evidence supporting the role of oxidative stress in the pathogenesis and progression of AD, none of the currently available treatment options address oxidative stress. Recently, attention has been placed on the use of antioxidants to mitigate the effects of oxidative stress in the central nervous system. In preclinical studies utilizing cellular and animal models, natural antioxidants showed therapeutic promise when administered alone or in combination with other compounds. More recently, the concept of combination antioxidant therapy has been explored as a novel approach to preventing and treating neurodegenerative conditions that present with oxidative stress as a contributing factor. In this review, the relationship between oxidative stress and AD pathology and the neuroprotective role of natural antioxidants from natural sources are discussed. Additionally, the therapeutic potential of natural antioxidants as preventatives and/or treatment for AD is examined, with special attention paid to natural antioxidant combinations and conjugates that are currently being investigated in human clinical trials.
European Agri-environmental Policy: Evolution, Effectiveness, and Challenges

European agri-environmental policy has diverse and competing objectives. The Common Agricultural Policy has been the main policy framework guiding the European Union (EU) and its member states in the design and implementation of both mandatory and voluntary agri-environmental policy instruments. Voluntary agri-environmental schemes, which were introduced in the 1990s, continue to play a central role in meeting the EU’s environmental and climate objectives. We find that in achieving their objectives these schemes have faced problems including limited environmental impact, low adoption by farmers, and conflicts between their environmental and income support objectives. The article also finds scant empirical evidence concerning the environmental and economic impacts of the agri-environmental schemes. The article concludes with a discussion of the lessons from past experiences and potential future research and policy directions aimed at increasing the EU’s achievement of agri-environmental and climate objectives.
Research and Design for Temperature Optimized Control System of Drying Oven to Gravure Press

Aiming at the characteristics of non-linear, time varying, big hysteretic in temperature controlling process of the drying oven to gravure press, this paper have designed a temperature optimize control system with PLC core based on self-adaptive Fuzzy-PID algorithm. Simulation results show the scheme has good adaptability and strong robustness, the control precision and instantaneity are improved effectively, it fully satisfies the needs of production process controlling and the product quality requirement, and has some practical value in engineering.
Tau mRNA Metabolism in Neurodegenerative Diseases: A Tangle Journey

Tau proteins are known to be mainly involved in regulation of microtubule dynamics. Besides this function, which is critical for axonal transport and signal transduction, tau proteins also have other roles in neurons. Moreover, tau proteins are turned into aggregates and consequently trigger many neurodegenerative diseases termed tauopathies, of which Alzheimer’s disease (AD) is the figurehead. Such pathological aggregation processes are critical for the onset of these diseases. Among the various causes of tau protein pathogenicity, abnormal tau mRNA metabolism, expression and dysregulation of tau post-translational modifications are critical steps. Moreover, the relevance of tau function to general mRNA metabolism has been highlighted recently in tauopathies. In this review, we mainly focus on how mRNA metabolism impacts the onset and development of tauopathies. Thus, we intend to portray how mRNA metabolism of, or mediated by, tau is associated with neurodegenerative diseases.
Kultura i przywództwo w organizacji jako potencjał procesów odnowy organizacyjnej Culture and leadership in an organisation as organisational renewal potential

Organisational renewal is a complex process whose effectiveness is determined by a variety of factors. The aim of the paper is to analyse the role of organisational culture and leadership in this process. Based on desk research, relationships between individual categories have been found. The results show that organisational culture and underlying leadership are crucial to organisational renewal, and frequently even essential to its success. Basic activities undertaken by leaders in relation to the vision of transformations and development of a suitable organisational structure are key determinants of effectiveness of renewal processes. It helps identify certain implications to business practice, mostly those related to promoting desired attitudes among leaders and directions of developing desired cultural patterns.
UNJUK KERJA MOTOR INDUKSI ROTOR LILIT SEBAGAI VARIABEL-TRANSFORMATOR (The Performance of a Wound Rotor Induction Motor used as a Variable Transformer)

Generally induction motor is used as a tool to change electric power to mechanic one. In forced condition wound-rotor induction motor can be used as transformer. This case can be accepted for both machines work by induction principle. Stator is the primary side of a three phase-transformer. Magnetic field produced by stator cuts across rotor conduction. This induction voltage cases the rotor current to flow. However, induction motor is one of non-linear load and be able to cause harmonic in alternating current. The objective of this research is to acknowledge the work of wound-rotor induction motor when its function is changed into a transformer. The research was done by the wound rotor supplied sinusoidal voltage as the primary of a three phasetransformer. The magnetic filed produced by rotor cuts across stator conductor. Rotor position was regulated from 0o, 45o, 90o, 135o, up to 360o. In stator winding, the amount of emf induced proportional to the rate of flux change and the number of its wound. The result of research shows that wound-rotor induction motor can be used as variable transformer. Voltage change obtained is about 8%. Voltage waved) form is defect sinusoidal. The average value of Total Harmonic Distortion (THD) is 1.8% for displacement of rotor angle from 0o up to 360o.
Do Long Aorta Branches Impact on the Rheological Properties?

Current studies dispute the effect of the aorta geometry and branches on how the hemodynamics parameters develop along the branches in 3D models. In constructing and modelling the aorta geometry, it is necessary to incorporate the different lengths of the bifurcation and branches. Previous studies modelled the aorta with simplified assumptions (idealized model) which gave rise to some differences between the model and clinical outcomes. However, these differences are minimal, and the results can still be validated against clinical trials. The Computational Fluid Dynamics (CFD) methods can also accurately simulate the stresses affecting the artery wall and the dynamic behavior of the blood flow in its pulsatile form. Therefore, the outputs from CFD analysis can be used to reduce the risk of disease complications and enable a better understanding of the effects of hemodynamic stresses. A comparison of the behavior of the Time-Average Wall Shear Stress (TAWSS), Oscillatory Shear Index (OSI), and Relative Residence Time (RRT) against two lengths of bifurcations and in the presence of Non-Newtonian Power Law blood flow properties is presented in this work. This study investigates the cardiac cycle transient analysis using the Laminar inviscid flow in FLUENT, ANSYS 2020R2. The results are promising and give ample support for further development of new diagnostic tools based on the relationship between the Wall Shear Stress (WSS) derivatives: TAWSS and the OSI and the branches lengths.
Index-Modulation Embedded Mode Hopping for Antijamming

The emerging orbital angular momentum (OAM), which is a property describing the helical phase fronts of electromagnetic waves, offers the potential to improve reliability and increase the SE in wireless communications. To achieve efficient antijamming and increase the SE of wireless communications with slight computational complexity cost, in this article, we propose an index-modulation embedded mode-hopping (IM-MH) scheme, which simultaneously activates several OAM modes for hopping along with additional index information and signal information transmission. We analyze the average bit error rates (ABERs) for our proposed IM-MH scheme with perfect channel state information (CSI) and imperfect CSI, respectively. We also propose the index-modulation embedded double-serial MH (IM-DSMH) scheme, which randomly activates one OAM mode as the serial second hop to transmit the hopping signals in the IM-MH scheme, to further decrease the ABER of wireless communications. Extensive numerical results demonstrate that our proposed schemes within a narrowband can achieve the low ABER and significantly increase the SE. Also, the ABERs of our proposed IM-MH and IM-DSMH schemes are around 25% and 10%, respectively, compared with that of the mode hopping scheme.
Learning Control for Motion Coordination in Wafer Scanners: Toward Gain Adaptation

Accurate pattern transfer in wafer scanners necessitates the wafer stage and the reticle stage executing a coordinated motion with the synchronization error in terms of nanometers. In an attempt to cope with this challenging issue, a cross-coupling iterative learning control (ILC) with two inputs and two outputs is proposed and then decomposed into two ILC with the same convergence condition, a master–slave ILC for the reticle stage and an independent ILC for the wafer stage. To handle the inevitable stochastic disturbance, which inhibits the achievable ILC performance, an adaptive gain is involved in the proposed method for the sake of accelerated convergence as well as enhanced robustness. It remains constant or is decreased adaptively along the iteration axis, depending on the proportion that the stochastic term accounts for in the error signal. Moreover, a phase leader is chosen as the learning filter and tuned along with the initial learning gain by a frequency-domain approach. Experimental comparisons with existing close yet distinctive approaches highlight the effectiveness and superiority of the proposed method.
Deep 3D Dynamic Object Detection towards Successful and Safe Navigation for Full Autonomous Driving

Infractions other than collisions are also a crucial factor in Autonomous driving since other infractions can result in an Accident. Most of the existing work has been tested for Navigation, collisions and least tested for other infractions such as off-road driving and not obeying road signs. We present an imitation learning based Base Model called CILDO and an optimized model of the base model optimized using an and additional traffic light detection branch and Deep Deterministic Policy Gradient based Reinforcement Learning called CILDOLI-RL. The proposed base model is designed to detect dynamic objects by developing the vision for semantic features, depth and motion which is crucial in Autonomous driving. The CILDO-RL model presented in this paper achieves highest score for the newly introduced No-OTHERINFRACTION benchmark ensuring safe autonomous driving while the base CILDO model achieves the best performance in Navigation under Urban or rural dense traffic environments. Further, this work makes a comparison on the computational complexities of the driving models.
Effect of Structure on Sensitivity of Magnetic Field Sensor Based on Non-Adiabatic Tapered Optical Fiber With Magnetic Fluid

Magnetic field sensor based on non-adiabatic tapered optical fiber (NATOF) surrounded with magnetic fluid (MF) has a potential to detect ultra-weak magnetic field. In order to improve the sensitivity of the magnetic field sensor, this paper investigated the effect of structure on sensitivity. The interference occurring between the modes in cladding and MF was analyzed to obtain the relationship between sensitivity and diameter of the tapered waist. Experiments were carried out to verify the proposed relationship. The experiments indicated when the diameter was larger than dispersion turning point ( $8.75 ~\mu \text{m}$ ), the sensitivity of the sensor decreased with the diameter of the tapered waist. The largest sensitivity obtained in the experiment is 6.567 nm/mT under a weak magnetic flux density range from 0 mT to 5 mT. This result is instructive for the manufacture of sensors with specific sensitivity.
Livestock heat stress : recognition, response, and prevention

Livestock can experience heat stress during hot weather, particularly if the heat is prolonged or temperatures are extremely high. Heat stress can reduce livestock feed intake, growth, production, reproduction, welfare, and health. In 2003, annual losses to the livestock and poultry industries attributable to heat stress were calculated to be between $1.69 billion and $2.36 billion annually (St-Pierre et al. 2003). Thus, it is essential to understand heat stress, its signs, and management practices that can mitigate its effects on livestock.
Radiomic Features of the Hippocampus for Diagnosing Early-Onset and Late-Onset Alzheimer’s Disease

Background: Late-onset Alzheimer’s disease (LOAD) and early-onset Alzheimer’s disease (EOAD) are different subtypes of AD. This study aimed to build and validate radiomics models of the hippocampus for EOAD and young controls (YCs), LOAD and old controls (OCs), as well as EOAD and LOAD. Methods: Thirty-six EOAD patients, 36 LOAD patients, 36 YCs, and 36 OCs from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database were enrolled and allocated to training and test sets of the EOAD-YC groups, LOAD-OC groups, and EOAD-LOAD groups. Independent external validation sets including 15 EOAD patients, 15 LOAD patients, 15 YCs, and 15 OCs from Shanghai Mental Health Center were constructed, respectively. Bilateral hippocampal segmentation and feature extraction were performed for each subject, and the least absolute shrinkage and selection operator (LASSO) method was used to select radiomic features. Support vector machine (SVM) models were constructed based on the identified features to distinguish EOAD from YC subjects, LOAD from OC subjects, and EOAD from LOAD subjects. The areas under the receiver operating characteristic curves (AUCs) were used to evaluate the performance of the models. Results: Three, three, and four features were selected for EOAD and YC subjects, LOAD and OC subjects, and EOAD and LOAD subjects, respectively. The AUC and accuracy of the SVM model were 0.90 and 0.77 in the test set and 0.91 and 0.87 in the validation set for EOAD and YC subjects, respectively; for LOAD and OC subjects, the AUC and accuracy were 0.94 and 0.86 in the test set and 0.92 and 0.78 in the validation set, respectively. For the SVM model of EOAD and LOAD subjects, the AUC was 0.87 and the accuracy was 0.79 in the test set; additionally, the AUC was 0.86 and the accuracy was 0.77 in the validation set. Conclusion: The findings of this study provide insights into the potential of hippocampal radiomic features as biomarkers to diagnose EOAD and LOAD. This study is the first to show that SVM classification analysis based on hippocampal radiomic features is a valuable method for clinical applications in EOAD.
Patterns of Urinary Incontinence Among Women in Asir Region, Saudi Arabia

Background Urinary incontinence among women is a widespread clinical condition that is frequently associated with marked physical, social, and psychological adverse impact that significantly worsens their quality of life. This study is conducted to identify the prevalence of urinary incontinence and associated risk factors among Saudi women in Asir Region, Saudi Arabia. Methods Following a cross-sectional design, 1,964 healthy non-pregnant females aged above 13 years attending primary healthcare centers in Asir Region, Saudi Arabia were included. A self-administered semi-structured questionnaire was used, which included sociodemographic and clinical characteristics, questions related to voiding habits, and the validated Arabic version of the International Consultation on Incontinence Questionnaire (ICIQ). Results Almost half of the participants (47.5%) had urinary incontinence, of which 26.8% was slight, 16.3% was moderate, and 4.3% was severe. About 15.2% used to leak urine once a week or less, 3.6% used to leak two to three times a week, and 5.6% leaked daily. The leaked amount of urine was small in 26% of participants, while it was moderate and large in 8% and 1.4% of participants, respectively. Leaking urine moderately affected the daily life of 21.9% of participants, while it severely affected 14.7% of participants. Their grades of urinary incontinence differed significantly according to their age group, with the highest prevalence of severe incontinence among those aged 50 years or more (p < 0.001). Grades of urinary incontinence also differed significantly according to participants’ marital status, with those married or widowed having the highest prevalence of severe incontinence (8.5% and 19%, respectively; p < 0.001). Moreover, its grades differed significantly according to participants’ number of pregnancies, with severe incontinence being highest among those with twice gravidity or three times or more (8.3% and 7.9%, respectively; p = 0.004). Grades of urinary incontinence also differed significantly according to the presence of associated diabetes mellitus and renal/urinary tract diseases (p = 0.001 for both). Conclusions Urinary incontinence is common among Saudi females. Older age, multiparty, and menopause are significant risk factors for urinary incontinence.
Smart Chicken Coop Ecosystem for Optimal Growth of Broiler Chickens Using Fuzzy on IoT

Chicken consumption is one of the high-value economic sectors. In order to harvest chickens optimally, it is necessary to maintain the temperature and humidity of the chicken coop regularly. The application of IoT to monitor the temperature and humidity of the chicken coop is significant. Therefore, an automatic temperature-humidity control system based on decisions made using the Sugeno fuzzy method is also needed. Smart chicken coop with the fuzzy algorithm on platform internet of things can be used as an alternative process temperature and humidity control automatically replace conventional method. Based on the results of the tests, this system can control temperature and humidity at 30.3°C, which is the ideal temperature for the growing time of broilers.
Freshwater Clam Extract Mitigates Neuroinflammation and Amplifies Neurotrophic Activity of Glia: Insights from In Vitro Model of Neurodegenerative Pathomechanism

Background. An extensive body of research suggests that brain inflammation and oxidative stress are the underlying causes of Parkinson’s disease (PD), for which no potent therapeutic approach exists to mitigate the degradation of dopamine neurons. Freshwater clams, an ancient health food of Chinese origin, have been documented to exhibit anti-inflammatory and antioxidant effects. We previously reported that freshwater clam extract (FCE) can attenuate astrocytic activation and subsequent proinflammatory cytokine production from substantia nigra in an MPTP-induced PD mouse model. This article provides insight into the potential mechanisms through which FCE regulates neuroinflammation in a glia model of injury. Materials and methods. In total, 1 μg/mL lipopolysaccharide (LPS) and 200 μM rotenone were conducted in primary glial cell cultures to mimic the respective neuroinflammation and oxidative stress during injury-induced glial cell reactivation, which is relevant to the pathological process of PD. Results. FCE markedly reduced LPS-induced neuroinflammation by suppressing NO and TNF-α production and the expression of pro-inflammatory cytokines. In addition, FCE was effective at reducing rotenone-induced toxicity by diminishing ROS production, promoting antioxidant enzymes (SOD, catalase, and GPx) and minimizing the decline in glial-cell-secreted neurotrophic factors (GDNF, BDNF). These impacts ultimately led to a decrease in glial apoptosis. Conclusions. Evidence reveals that FCE is capable of stabilizing reactive glia, as demonstrated by reduced neuroinflammation, oxidative stress, the increased release of neurotrophic factors and the inhibition of apoptosis, which provides therapeutic insight into neurodegenerative diseases, including PD.
A New Perspective for Bone Tissue Engineering: Human Mesenchymal Stromal Cells Well-Survive Cryopreservation on β-TCP Scaffold and Show Increased Ability for Osteogenic Differentiation

The clinical breakthrough of bone tissue engineering (BTE) depends on the ability to provide patients routinely with BTE products of consistent pharmacological quality. The bottleneck of this approach is the availability of stem cells. To avoid this, we suggest immobilization of random-donor-derived heterologous osteoinductive MSCs onto osteoconductive matrices. Such BTE products could then be frozen and, after thawing, could be released as ready-to-use products for permanent implantation during surgery. For this purpose, we developed a simple protocol for cryopreservation of BTE constructs and evaluated the effects of this procedure on human MSC (hMSCs) metabolic and osteogenic activity in vitro. Our findings show that hMSCs can be freeze-thawed on a β-TCP scaffold through a technically simple procedure. Treated cells sustained their metabolic activity and showed favorable osteogenic potential. Mechanistically, HIF1α and YBX1 genes were activated after freeze-thawing, and supposed to be linked to enhanced osteogenesis. However, the detailed mechanisms as to how the cryopreservation procedure beneficially affects the osteogenic potential of hMSCs remains to be evaluated. Additionally, we demonstrated that our BTE products could be stored for 3 days on dry ice; this could facilitate the supply chain management of cryopreserved BTE constructs from the site of manufacture to the operating room.