Miracle-dz/UniFAR-FTUs huggingface dataset:
The Oxidative Balance Orchestrates the Main Keystones of the Functional Activity of Cardiomyocytes

This review is aimed at providing an overview of the key hallmarks of cardiomyocytes in physiological and pathological conditions. The main feature of cardiac tissue is the force generation through contraction. This process requires a conspicuous energy demand and therefore an active metabolism. The cardiac tissue is rich of mitochondria, the powerhouses in cells. These organelles, producing ATP, are also the main sources of ROS whose altered handling can cause their accumulation and therefore triggers detrimental effects on mitochondria themselves and other cell components thus leading to apoptosis and cardiac diseases. This review highlights the metabolic aspects of cardiomyocytes and wanders through the main systems of these cells: (a) the unique structural organization (such as different protein complexes represented by contractile, regulatory, and structural proteins); (b) the homeostasis of intracellular Ca2+ that represents a crucial ion for cardiac functions and E-C coupling; and (c) the balance of Zn2+, an ion with a crucial impact on the cardiovascular system. Although each system seems to be independent and finely controlled, the contractile proteins, intracellular Ca2+ homeostasis, and intracellular Zn2+ signals are strongly linked to each other by the intracellular ROS management in a fascinating way to form a “functional tetrad” which ensures the proper functioning of the myocardium. Nevertheless, if ROS balance is not properly handled, one or more of these components could be altered resulting in deleterious effects leading to an unbalance of this “tetrad” and promoting cardiovascular diseases. In conclusion, this “functional tetrad” is proposed as a complex network that communicates continuously in the cardiomyocytes and can drive the switch from physiological to pathological conditions in the heart.
Coordinated Control of Hybrid DERs Enabled Grid-Interactive Residential PCM With Hybrid Bus Layout

This article proposes a multi-terminal grid interactive power conditioning module (PCM) for integration of hybrid distributed energy resources (DERs) within single phase residential premises, along with the Energy Storage Stacks (ESSs). The PCM also features hybrid bus layouts with medium-low voltage dc (MVdc) and low voltage dc (LVdc), for dc load integrations, and ac bus layout for single phase ac loads. The bi-directional MVdc and LVdc bus facilitate the effective power management and bus voltage support. It operates in all grid feeding, forming and supportive modes. The ESSs includes battery for system energy management and the supercapacitor for dc bus stabilization during transient conditions. The coordinated control of the PCM is capable of interfacing multiple DERs, dc/ac loads, and ESS. The controllers in the PCM are self-adaptive to the frequent islanding situations and ensure the system stability with minimum use of sensory feedbacks. The PCM has loop type dc bus feeder to make residential system operative during transient/faulty conditions. Simulation results verify the feasibility of the proposed system in all active and passive grid feeding; and grid forming modes and experimental setup is used to test the performance of the proposed PCM control through a single microcontroller.
A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes

Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of abnormal Lewy body protein particles. PD is an idiopathic disease of the nervous system, characterized by motor and nonmotor manifestations without a discrete onset of symptoms until a substantial loss of neurons has already occurred, enabling early diagnosis very challenging. Sensor-based platforms have gained much attention in clinical practice screening various biological signals simultaneously and allowing researchers to quickly receive a huge number of biomarkers for diagnostic and prognostic purposes. The integration of machine learning into medical systems provides the potential for optimization of data collection, disease prediction through classification of symptoms and can strongly support data-driven clinical decisions. This work attempts to examine some of the facts and current situation of sensor-based approaches in PD diagnosis and discusses ensemble techniques using sensor-based data for developing machine learning models for personalized risk prediction. Additionally, a biosensing platform combined with clinical data processing and appropriate software is proposed in order to implement a complete diagnostic system for PD monitoring.
Performance Evaluation of a Maneuver Classification Algorithm Using Different Motion Models in a Multi-Model Framework

Environment perception is one of the major challenges in the vehicle industry nowadays, as acknowledging the intentions of the surrounding traffic participants can profoundly decrease the occurrence of accidents. Consequently, this paper focuses on comparing different motion models, acknowledging their role in the performance of maneuver classification. In particular, this paper proposes utilizing the Interacting Multiple Model framework complemented with constrained Kalman filtering in this domain that enables the comparisons of the different motions models’ accuracy. The performance of the proposed method with different motion models is thoroughly evaluated in a simulation environment, including an observer and observed vehicle.
Long-Term Follow-Up of Mechanical Circulatory Support in Peripartum Cardiomyopathy (PPCM) Refractory to Medical Management: A Multicenter Study

Background: Peripartum cardiomyopathy (PPCM) is a rare, life-threatening form of heart disease, frequently associated with gene alterations and, in some cases, presenting with advanced heart failure. Little is known about ventricular assist device (VAD) implantation in severe PPCM cases. We describe long-term follow-up of PPCM patients who were resistant to medical therapy and received mechanical circulatory support or heart transplant. Methods and results: A total of 13 patients were included with mean follow-up of eight years. Mean age of PPCM onset was 33.7 ± 7.7 years. All patients were initially treated with angiotensin-converting enzyme inhibitors and beta-blockers, and four received bromocriptine. Overall, five patients received VADs (three biventricular, two isolated left ventricular) at median 27 days (range: 3 to 150) following childbirth. Two patients developed drive line infection. Due to the short support time, none of those patients had a stroke or VAD thrombosis. In total, five patients underwent heart transplantation, of which four previously had implanted VADs. Median time to transplantation from PPCM onset was 140 days (range: 43 to 776), and time to transplantation from VAD implantation were 7, 40, 132, and 735 days, respectively. All patients survived until most recent follow up, with the exception of one patient who died following unrelated abdominal surgery two years after PPCM recovery. Conclusions: In patients with severe, life-threatening PPCM refractory to medical management, mechanical circulatory support with or without heart transplantation is a safe therapeutic option.
Green Buildings - A Solution to India’s High Energy Consumption

This paper is to bring into knowledge, a proficiency, which would help us to fight against energy crises using new construction techniques. It discusses the needs and benefits of sustainable Green buildings. It focuses on coming up with new ideas to build green buildings with minimum Embodied Energy. High energy conservation in buildings can be achieved by insulating materials (powerful device for designing and building) and by improving the construction envelope heat safety, which then controls the building envelope's transmissivity. Since the orientation of buildings and their protection from the sun cannot be implemented freely in the urban environment where it is densely built, heat insulation and adoption of bioclimatic architectural principles becomes the need. Green buildings, at the decreased ranges of consumption of resource and energy, the design of green buildings will meet the needs of users. This is a wise approach to use India’s energy in this period of crisis. These buildings will replace most of our present building methodologies. “Energy can neither be created nor destroyed”, hence application of this paper is aimed at utilizing the irrelevant energy consumed in building processes and providing comfort at the cost of sustainability.
Cloud storage forensics: MEGA as a case study

The increasing use of smartphones and cloud storage apps allows users to access their data anywhere, anytime. Due to the potential of mobile devices being used and/or targeted by criminals, such devices are an important source of evidence in investigations of both cybercrime and traditional crimes, such as drug trafficking. In this paper, we study the MEGA cloud client app, an increasingly popular alternative to Google Drive, Dropbox and OneDrive, on both Android and iOS platforms. In our study, we identify a range of artefacts arising from user activities, such as login, uploading, downloading, deletion, and the sharing of files, which could be forensically recovered, as well as findings such as modification of files’ timestamps. Our findings contribute to an up-to-date understanding of cloud storage forensics.
Mutational Analysis of a Wheat O-methyltransferase Involved in Flavonoid Metabolism

Methylated flavones, and tricin in particular, have been implicated in protecting wheat plants against a variety of biotic and abiotic stresses. Methylated flavones are produced via O-methylation of the hydroxyl groups in flavones, which is catalyzed by O-methyltransferases (OMTs). To examine the role of wheat OMT2 in methylated flavone biosynthesis and facilitate interrogation of tricin functions in wheat-environment interactions, loss-of-function mutants of OMT2 homoeologs, omt-A2 and omt-B2, were identified from a tetraploid wheat Targeting Induced Local Lesions in Genomes (TILLING) mutant population and crossed to generate the omt-A2 omt-B2 double mutant. Although tricin and most other soluble phenolics did not differ in leaves and glumes of TILLING control and the omt-A2, omt-B2, and omt-A2 omt-B2 mutants, chlorogenic acid was increased in glumes of omt-A2 omt-B2 relative to TILLING control, suggesting that it might serve as a substrate for OMT2. The omt2 mutant lines showed similar growth phenotypes as well as comparable lignin deposition in cell walls of stems compared to TILLING control. These results collectively suggest that OMT2 and its close homolog OMT1 may possess overlapping activities in tricin production, with OMT1 compensating for the missing OMT2 activities in the omt2 mutant lines.
A Cross-Sectional Study on the Quality of Life in Women with Endometrioma

Purpose To evaluate the quality of life (QoL) of women with endometrioma and explore the associated factors. Patients and Methods A cross-sectional study was conducted between August 2020 and March 2021. A total of 99 women diagnosed with ovarian endometrioma with at least one endometriosis-associated symptom completed the Endometriosis Health Profile 30 (EHP-30) questionnaire for their QoL score before treatment for ovarian endometrioma. The questionnaire comprises a central questionnaire (30 items) and a modular questionnaire (23 items divided into 6 sections). Demographics and QoL scores were analyzed using descriptive statistics and multivariable linear regression or median regression. Results The mean QoL score was 35.0±15.8 (range, 16.0±21.2 in the social support dimension to 45.1±24.4 in the control and powerlessness dimension). In the modular questionnaire, the highest score was in the infertility domain, while the lowest was in the relationship with the physician domain. The pain score and chronic pelvic pain (CPP) were independent correlation factors for a higher total EHP-30 score: the higher the total EHP-30, the poorer the QoL. CPP was positively correlated with the QoL score in the work domain. Conclusion The present study revealed that CPP was the factor associated with a worse QoL and work performance in women with endometrioma based on a disease-specific, EHP-30 questionnaire.
Type D personality is associated with lower cardiovascular reactivity to stress in women

Abstract Objective This study examines if Type D personality is (1) associated with cardiovascular reactivity to acute stress in a healthy sample, and (2) has predictive utility for cardiovascular reactivity above its individual subcomponents (negative affect; NA, social inhibition; SI), as well as anxiety and depression. Design Undergraduate students (n = 173) competed a standardised cardiovascular reactivity experimental protocol consisting of resting baseline and stressor phase (mental arithmetic), with systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) monitored throughout. Main Outcome Measures The main outcome measures were cardiovascular reactivity to the stressor, which was operationalised as the difference between resting baseline and the stressor phase for SBP, DBP and HR. Results The continuous Type D interaction term (NA × SI) significantly predicted lower SBP reactivity to the mental arithmetic stressor amongst women, independent of NA, SI and confounding variables. Moreover, this remained significant after adjustment for anxiety and depressive symptoms. Depression, NA and SI were also significant independent predictors of SBP reactivity amongst women. Conclusion Type D personality is associated with lower SBP reactivity to acute stress in women, which may be indicative of blunted cardiovascular reactivity. This association was independent of NA, SI, Anxiety and Depression.
A Survey on Model-Based Fault Detection Techniques for Linear Time-Invariant Systems with Numerical Analysis

With the ongoing increase in complexity, less tolerance to performance degradation and safety requirements of practical systems has increased the necessity of fault detection (FD) as early as possible. During the last few decades, many research findings have been developed in fault diagnosis that addresses the issue of fault detection and isolation in linear and nonlinear systems. The paper’s objective is to present a survey on various state-of-art model-based FD techniques developed for linear time-invariant (LTI) systems for the interested readers to learn about recent development in this field. Model-based FD techniques for LTI systems are classified as parameter-estimation methods, parity-space-based methods, and observer-based methods. The background and recent progress, in context to fault detection, of each of these methods and their practical applications are discussed in this paper. Furthermore, two different FD techniques are compared via analytical equations and simulation results obtained from the DC motor model. In the end, possible future research directions in model-based FD, particularly for the LTI system, are highlighted for prosperous researchers. A comparison and emerging research topic make this contribution different from the existing survey papers on FD.
Corneal Endothelial Changes Following Early Capsulotomy Using Neodymium:Yttrium–Aluminum–Garnet Laser

We aimed to survey whether the timing of neodymium:yttrium–aluminum–garnet (Nd:YAG) laser capsulotomy would alter the corneal endothelial morphology and density. A retrospective cohort study was conducted, and 48 patients with unilateral posterior capsular opacity (PCO) and Nd:YAG laser capsulotomy performance were enrolled. The participants were divided into the early Nd:YAG group (timing ≤ 12 months, n = 20) and late Nd:YAG group (timing > 12 months, n= 28) depending on elapsed months between phacoemulsification and Nd:YAG laser capsulotomy. Endothelial cell density (ECD), coefficient of variant (CV), hexagonality (HEX), and central corneal thickness (CCT) between the two groups were collected. A generalized estimate equation was conducted to evaluate the corneal endothelial parameters between the two groups with an adjusted odds ratio (aOR) and 95% confidence interval (CI). The CDVA was improved after treatment in both groups (both p < 0.001). Chronically, ECD in the early group was significantly decreased one week after treatment (2221.50 ± 327.73/mm2 vs. 2441.55 ± 321.80/mm2, p < 0.001), which recovered to 2369.95 ± 76.37/mm2 four weeks after the treatment but was still lower than the preoperative status (p < 0.001). In addition, the HEX percentage showed a significant reduction at four weeks after treatment (p = 0.028). The ECD in the early group was significantly lower than that in the late group (aOR: 0.167, 95% CI: 0.079–0.356, p = 0.003) in both week 1 (p < 0.001) and week 4 (p = 0.004) after laser treatment. In conclusion, the early application of Nd:YAG laser capsulotomy within one year after cataract surgery may be the reason for postoperative ECD decrement without known etiology.
Evaluation of Variations in the Various Blood Indices in COVID-19 Recovered Patients

Introduction: In December 2019, cases of pneumonia with an unknown cause were reported in Wuhan, Hubei Province, China. Novel coronavirus infectious disease (COVID-19) has been spreading worldwide and tracking laboratory indexes during the diagnosis and treatment of patients with severe COVID-19 can provide a reference for patients in other countries and regions. The disease is caused by the Severe Acute Respiratory Syndrome Coronavirus according to studies, and the World Health Organization just dubbed it coronavirus disease 2019. Aim: The aim of this analysis was to evaluate COVID-19 patients' blood parameters changes in comparison with healthy controlled patients. Methods: Blood samples were taken from 10 patients in which 5 are COVID-19 recovered patients and 5 are healthy controls. For these blood samples TBC (Total Blood Count) was taken and the readings of RBC, hemoglobin, WBC, lymphocyte, granulocyte and platelets count was recorded. Independent t-test was done to obtain the results. SPSS software Version 23 was used to give the output comparison as error bar charts. Results: The patients have increased RBC count, increased hemoglobin and reduced WBC count with reduced lymphocytes and Granulocytes counts. Here it can be concluded that COVID-19 recovered patients should take care of themselves by having proper care, doctor consultation and follow up. Conclusion: From this study it can be understood that COVID-19 recovered patients have increased RBC count and hemoglobin percentage. The recovered patients have reduced WBC, lymphocytes and Granulocytes percentage.
Multielement Imaging Reveals the Diagenetic Features and Varied Water Redox Conditions of a Lacustrine Dolomite Nodule

The genesis of dolostone has long been puzzling for more than two centuries. Although much work has been done on investigating the process of dolomitization, little emphasis has been put on examining the diagenetic water redox condition with the wealthy geochemical information preserved in primary dolomite, which is believed to archive the aqueous environment as well as biotic and/or abiotic effects during formation. In situ interpretation with high resolution is a prerequisite in refined research of dolomite. Here, we reported the multielement imaging results of a lacustrine dolomite nodule with the host black shale from the Songliao Basin, northeast of China. Micro X-ray fluorescence (μ-XRF) with a spatial resolution down to 10 μm was used for in situ scanning. Two key parameter settings of the μ-XRF, including single-point exposure time and spatial resolution, were optimized to achieve a better result in a reasonable scanning time scale. The final imaging data graphically revealed dynamic variation of elemental distributions, including elements enriched in dolomite (e.g., Ca, Mg, Fe, and Mn), clastic quartz (Si), and clay minerals (e.g., Al and K) and redox-sensitive trace elements (e.g., Cr, Mo, V, and U). The well-preserved laminated structures inside the nodule and the features with a magnesium-rich core wrapped with an iron-concentric outer layer and a manganese-concentric shell together indicated its primary form as dolomite and a gradual transformation into ankerite as well as manganese-ankerite. The elemental variation indicates a varied bottom water redox condition, which involved from sulfidic to ferruginous and manganous zones. Here, we propose that the intermittent supplies of sulfate and Fe-/Mn-oxidized minerals interrupting the black shale deposition while favoring dolomitization might be brought by the oxidized and salted seawater. And this lacustrine dolomite is expected to be a potential fingerprint mineral in tracking the seawater intrusions to the Songliao Basin which happened 91 million years ago.
Next-Generation Proteomics Reveals a Greater Antioxidative Response to Drought in Coffea arabica Than in Coffea canephora

Drought is a major threat to coffee, compromising the quality and quantity of its production. We have analyzed the core proteome of 18 Coffea canephora cv. Conilon Clone 153 and C. arabica cv. Icatu plants and assessed their responses to moderate (MWD) and severe (SWD) water deficits. Label-free quantitative shotgun proteomics identified 3000 proteins in both genotypes, but less than 0.8% contributed to ca. 20% of proteome biomass. Proteomic changes were dependent on the severity of drought, being stronger under SWD and with an enrolment of different proteins, functions, and pathways than under MWD. The two genotypes displayed stress-responsive proteins under SWD, but only C. arabica showed a higher abundance of proteins involved in antioxidant detoxification activities. Overall, the impact of MWD was minor in the two genotypes, contrary to previous studies. In contrast, an extensive proteomic response was found under SWD, with C. arabica having a greater potential for acclimation/resilience than C. canephora. This is likely supported by a wider antioxidative response and an ability to repair photosynthetic structures, being crucial to develop new elite genotypes that assure coffee supply under water scarcity levels.
Study on automotive active safety technology based on driving behavior and intention

To the status of domestic automotive safety technology research,the vehicle active safety research method that was based on the identifying of driver behavior and intention was proposed.it safety system,the analysis of driving behavior and intention was made by collecting a variety of driver's operating signal and environmental information.The weight matrix for identifying the typical driving behavior and intention was built according to the different proportion of variety operating information on identifying common intention of driving behavior and intention.Through programming emulation with MATLAB,the weight matrix under the eight typical given state of driving was established.The emulation indicates that the weight matrix was designed reasonably.The matrix can identify the driving behavior and intention exactly.It offers an effective method for researching automotive active safety technology.