Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Association of Tau Pathology and Cognitive Impairment in Mild Cognitive Impairment Subjects with Behavior Symptoms.

BACKGROUND Mild cognitive impairment (MCI) individuals with neuropsychiatric symptoms (NPS) are more likely to develop dementia. OBJECTIVE We sought to understand the relationship between neuroimaging markers such as tau pathology and cognitive symptoms both with and without the presence of NPS during the prodromal period of Alzheimer's disease. METHODS A total of 151 MCI subjects with tau positron emission tomographic (PET) scanning with 18F AV-1451, amyloid-β (Aβ) PET scanning with florbetapir or florbetaben, magnetic resonance imaging, and cognitive and behavioral evaluations were selected from the Alzheimer's Disease Neuroimaging Initiative. A 4-group division approach was proposed using amyloid (A-/A+) and behavior (B-/B+) status: A-B-, A-B+, A+B-, and A+B+. Pearson's correlation test was conducted for each group to examine the association between tau deposition and cognitive performance. RESULTS No statistically significant association between tau deposition and cognitive impairment was found for subjects without behavior symptoms in either the A-B-or A+B-groups after correction for false discovery rate. In contrast, tau deposition was found to be significantly associated with cognitive impairment in entorhinal cortex and temporal pole for the A-B+ group and nearly the whole cerebrum for the A+B+ group. CONCLUSION Enhanced associations between tauopathy and cognitive impairment are present in MCI subjects with behavior symptoms, which is more prominent in the presence of elevated amyloid pathology. MCI individuals with NPS may thus be at greater risk for further cognitive decline with the increase of tau deposition in comparison to those without NPS.
Intracellular Cholesterol Synthesis and Transport

Cholesterol homeostasis is related to multiple diseases in humans, including cardiovascular disease, cancer, and neurodegenerative and hepatic diseases. The cholesterol levels in cells are balanced dynamically by uptake, biosynthesis, transport, distribution, esterification, and export. In this review, we focus on de novo cholesterol synthesis, cholesterol synthesis regulation, and intracellular cholesterol trafficking. In addition, the progression of lipid transfer proteins (LTPs) at multiple contact sites between organelles is considered.
Deep Learning-Based Classification for Melanoma Detection Using XceptionNet

Skin cancer is one of the most common types of cancer in the world, accounting for at least 40% of all cancers. Melanoma is considered as the 19th most commonly occurring cancer among the other cancers in the human society, such that about 300,000 new cases were found in 2018. While cancer diagnosis is based on interventional methods such as surgery, radiotherapy, and chemotherapy, studies show that the use of new computer technologies such as image processing mechanisms in processes related to early diagnosis of this cancer can help the physicians heal this cancer. This paper proposes an automatic method for diagnosis of skin cancer from dermoscopy images. The proposed model is based on an improved XceptionNet, which utilized swish activation function and depthwise separable convolutions. This system shows an improvement in the classification accuracy of the network compared to the original Xception and other dome architectures. Simulations of the proposed method are compared with some other related skin cancer diagnosis state-of-the-art solutions, and the results show that the suggested method achieves higher accuracy compared to the other comparative methods.
The Role of Islamic Corporate Governance to Prevention Fraud and Implementation of Maqasid Shariah in Increasing Profitability of Sharia Banking in Indonesia

Fraud phenomenon still occurs and can impact profitability in sharia banking which is must also contribute to the achievement of maqasid shariah. This research used quantitative data from Islamic Commercial banking during 2010-2019. The result of the research shows Islamic Corporate Governance is able the prevention of fraud but has no effect to increase profitability, Islamic Corporate Governance has a significant effect on Maqasid Shariah but has no effect to increase profitability, Islamic Corporate Governance is able to increase profitability and Islamic Corporate Governance has no effect to profitability through fraud prevention and maqasid sharia. Based on this result, Sharia banking must be able to achieve an element of maqasid sharia to contribute to solutions for various finance and banking problems. In addition, the implementation of good governance and fraud prevention efforts has not shown a sufficient contribution to increasing the profitability of Islamic banks. Therefore, Islamic banks need to formulate strategies in increasing the role of Syariah in reducing fraud and increasing the profitability of Islamic banks.
Nonlinear Semianalytical Model for Axial Flux Permanent-Magnet Machine

In this article, we propose a novel nonlinear semianalytical model (AM) for the magnetic field calculation of electric machines. The nonlinear properties and local saturation effect of the iron part are taken into consideration in Cartesian coordinates, which is the main contribution of the proposed model. Thus, high accuracy of electromagnetic field results can be obtained with the low computational time cost. The model is developed based on the harmonic modeling technique by solving Maxwell's equations. The detailed theoretical derivations, which use the complex Fourier series and the Cauchy product, are presented. To verify the proposed model, an axial flux permanent-magnet (PM) machine is selected to be investigated. Both finite-element model and experimental results agree well with that of the proposed model. Moreover, the nonlinear AM has potential application for other types of PM electrical motor in Cartesian coordinates, such as flat PM linear machines.
Respiratory system abnormalities in Prader-Willi syndrome: a literature review

Pediatric Pulmonology Medicine, University of Florida, Pensacola, FL, USA; Department of Pediatric and Adolescent Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA Contributions: (I) Conception and design: All authors (II) Administrative support: none; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final Approval of manuscript: All authors. Correspondence to: Berrin Ergun-Longmire, MD. Department of Pediatric and Adolescent Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, 1000 Oakland Drive, Kalamazoo, MI 49008, USA. Email: berrin.ergun-longmire@med.wmich. edu.
The Effect of Human Resource Management Practices on Improving Performance and Innovative Behavior of State Civil Apparatus

This study aims to examine the effect of human resource management practices (high commitment HR practices) on the performanc e and innovative behavior of the State Civil Apparatus (ASN) both directly and through mediating variables of affective commitment and public service motivation in the context of bureaucracy simplification and changing the ASN work system due to the Covid-19 pandemic at the National Agency of Drug and Food Control (BPOM). By analyzing questionnaire data from 219 ASN BPOM respondents through a structural equation model (SEM) using the full version LISREL 8.51 application, this study found a direct and positive effect of high commitment HR practices on employee performance, affective commitment, and public service motivation. This study also found a positive relationship of public service motivation on employees' affective commitment, performance, and innovative behavior. However, the results of this study did not find the relationship between high commitment HR practices and employees' innovativeness behavior and the relationship between affective commitment and employees' performance and innovative behavior. This study concluded that high commitment HR practices were associated with increased employee performance but did not affect increased innovativeness behavior. Public service motivation mediated a positive relationship between high commitment HR practices and employee performance and innovativeness behavior, while affective commitment did not mediate this relationship.
Adoption of Continuous Auditing in The Internal Audit Unit of SKK Migas Using TOE Framework

This study aims to identify the key factors that support the implementation of continuous auditing in the Internal Audit Unit of SKK Migas based on the Technology-Organization-Environment (TOE) Framework. A qualitative case study approach is applied in this study. Primary data was collected with the open-ended questionnaire and semi-structured interviews. The results indicated that the adoption of continuous auditing is affected by technological, organizational, and environmental contexts. This study revealed that top management support, budget availability, and the readiness of information technology infrastructure are the main factors that need to be considered in adopting the concept of continuous auditing. Further study is suggested to continue this study by adding broader scope on cost-benefit analysis and make-or-buy analysis to be more comprehensive.
Neural network approach to acoustic emission source location

Accurate source location of acoustic emission (AE) is vital for the precise isolation of damage areas in engineering structures. A new method was developed utilizing arrival time differences, from a minimum of three sensors, to train a back-propagation network (BPN) for locating AE sources in 2-dimensions. AE source location accuracy using the BPN approach yielded a significant improvement over the traditional AE arrival time difference method, in both a continuous aluminum plate and across a bolted aluminum channel structure. The ability of the BPN in locating AE sources in discontinuous structures (across a mechanical joint), using a limited number of training points (<32) and iterations (<10,000) makes this approach a feasible source location tool.
Brain Biometrics of Steady-State Visual Evoked Potential Functional Networks

Brain biometrics, due to its unique confidentiality and concealment, has received the increasing attention of scientific researchers in recent years. It has shown that steady-state visual evoked potential (SSVEP) signals with a high signal-to-noise ratio and stable spectrum can be used as identification features. However, current studies rely on the extraction of features characterizing the activity of single brain regions, ignoring the functional coupling between different brain regions. In this study, we proposed a novel approach that considers the functional connectivity of SSVEP signals collected by different electrodes as practical biometric features. We investigated individual coherence (COH) connectivity and phase synchronization according to different visual stimulations in terms of frequency component analysis of different principal bands. Fifteen subjects were identified by the support vector machine, random forest, and $k$ -nearest neighbor algorithm. The results show that distinctive features in SSVEP functional networks among individuals can achieve high precision identification (up to 98%). The obtained identification performance shows that SSVEP spectral COH and phase synchronization have the potential for biometric applications.
Decentralized Active Control of Multistory Civil Structure with Wireless Smart Sensor Nodes

AbstractWireless smart sensors, a popular option for structural health monitoring, are an exciting alternative to traditional tethered systems for structural control. Their onboard communication, sensing, actuation, and processing capabilities offer all the components for feedback control to limit structural response during earthquakes and wind. However, wireless smart sensors pose unique challenges for structural control including communication latency, delays, and data loss. Previous research in wireless structural control has used decentralized control approaches to overcome these inherent limitations. However, these experimental investigations have focused on semiactive control systems, in which stability is guaranteed. Thus, the semiactive wireless control implementations are less sensitive to delays and sampling rate limitations imposed by the smart sensors. This paper presents an experimental investigation of decentralized wireless active control. All the elements of the wireless control system are.
The Effect of Worktime Control on Overtime Employees’ Mental Health and Work-Family Conflict: The Mediating Role of Voluntary Overtime

Overtime has become a widespread phenomenon in the current information age that creates a high speed working pace and fierce competition in the high technology global economy. Based on the time-regulation mechanism and effort-recovery model, we examined the effect of worktime control (WTC) on mental health and work-family conflict (WFC) among overtime employees, and whether voluntary overtime mediated the relationships. We also examined two separate dimensions of WTC (control over time-off and control over daily hours). The results showed that control over time-off was related to decreased depression, anxiety, stress and WFC, while control over daily hours was related to decreased stress and WFC. Generally, control over time-off was beneficial to females and employees with dependents. Furthermore, mediation results showed that voluntary overtime was a complete mediator of relationships between WTC and depression and anxiety as well as a partial mediator of the relationship between WTC and stress. However, this study did not find a mediating effect of voluntary overtime on the WTC-WFC relationship. Limitations and practical implications are discussed.
Coronary Artery Magnetic Resonance Angiography Combined with Computed Tomography Angiography in Diagnosis of Coronary Heart Disease by Reconstruction Algorithm

This research aimed at discussing the diagnosis effect of coronary artery magnetic resonance angiography (MRA) combined with computed tomography (CT) angiography (CTA) based on the back-projection filter reconstruction (BPFR) algorithm in coronary heart disease (CHD), and its role in the diagnosis of coronary artery disease (CAD). Sixty patients with CHD were selected and randomly rolled into group A (undergone MRA examination), group B (undergone CTA examination), and group C (undergone MRA + CTA), with 20 cases in each group. Taking the diagnostic results of coronary angiography as the gold standard, the MRA and CTA images were reconstructed using a BPFR algorithm, and a filter function was added to solve the problem of image sharpness. In addition, the iterative reconstruction algorithm and the Fourier transform analysis method were introduced. As a result, the image clarity and resolution obtained by the BPFR algorithm were better than those obtained by the Fourier transform analytical method and the iterative reconstruction algorithm. The accuracy of group C for the diagnosis of mild coronary stenosis, moderate stenosis, and severe stenosis was 94.02%, 96.13%, and 98.01%, respectively, which was significantly higher than that of group B (87.5%, 90.2%, and 88.4%) and group C (83.4%, 89.1%, and 91.5%) (P < 0.05). The sensitivity and specificity for the diagnosis of noncalcified plaque in group C were 87.9% and 89.2%, respectively, and the sensitivity and specificity for the diagnosis of calcified plaque were 84.5% and 78.4%, respectively, which were significantly higher than those in groups B and C (P < 0.05). In summary, the BPFR algorithm had good denoising and artifact removal effects on coronary MRA and CTA images. The combined detection of reconstructed MRA and CTA images had a high diagnostic value for CHD.
Precision Agriculture with Unmanned Aerial Vehicles for SMC estimations – Towards a more Sustainable Agriculture

This master thesis is reviewing the latest published research on remote sensing technology in the agricultural sector, for soil moisture estimations towards a more sustainable precision agriculture. Modern, exciting new technological innovations will also be presented, along with the sustainable aspect of conventional agriculture with more precise agricultural practices. The synergy between UAS, SMC and sustainability are the focus of attention for this review thesis, as the possibilities and opportunities this can open for us can be of significant advancement in profitability and precision agriculture. As precision agriculture evolves and grows, the potential and opportunities also follow. The new field of unmanned aerial systems demonstrates this. There are several sectors the unmanned aerial vehicle is being welcomed with open arms, only within the agricultural sector, it has shown to be of great value for crop yield and biomass estimation. It takes little energy to run and operate and it can be from a green power source. As we all should move towards a more sustainable and eco-friendly lifestyle, industries, businesses and corporations are no exceptions. Agriculture is a major contributor to the climate change and environmental destruction, we should make a change to a more sustainable method of farming, with precision agriculture we are making this shift. The objective of this thesis is to contribute to the fundamental research for future implementation and introduction of remote sensing technology with a UAV. This thesis highlights these areas, to assist in closing the gap between researchers and endusers. By increasing the precision and applying inputs like artificial fertiliser and pesticides/herbicides at a correctly variable amount and time, a reduction of the inputs and the environmental disruption should follow, which results in an increase in the profitability for the farmers, and less environmental damages.
The Delay of Raphanus raphanistrum subsp. sativus (L.) Domin Seed Germination Induced by Coumarin Is Mediated by a Lower Ability to Sustain the Energetic Metabolism

In the present study, the mode of action of coumarin using the germination process as a target was investigated. A dose–response curve, built using a range of concentrations from 0 to 800 µM, allowed us to identify a key concentration (400 µM) inhibiting the germination process, reducing its speed without compromising seed development. Successively, short time-course (0–48 h) experiments were carried out to evaluate the biochemical and metabolic processes involved in coumarin-induced germination delay. The results pointed out that coumarin delayed K+, Ca2+, and Mg2+ reabsorption, suggesting a late membrane reorganisation. Similarly, seed respiration was inhibited during the first 24 h but recovered after 48 h. Those results agreed with ATP levels, which followed the same trend. In addition, the untargeted metabolomic analysis allowed to identify, among the pathways significantly impacted by the treatment, amino acids metabolism, the TCA cycle, and the glyoxylate pathway. The results highlighted that coumarin was able to interact with membranes reorganisation, delaying them and reducing the production of ATP, as also supported by pathway analysis and cell respiration. The in vivo 31P-NMR analysis supported the hypothesis that the concentration chosen was able to affect plant metabolism, maintaining, on the other hand, its viability, which is extremely important for studying natural compounds’ mode of action.
Alternatives to Cow’s Milk-Based Infant Formulas in the Prevention and Management of Cow’s Milk Allergy

Cow’s milk-based infant formulas are the most common substitute to mother’s milk in infancy when breastfeeding is impossible or insufficient, as cow’s milk is a globally available source of mammalian proteins with high nutritional value. However, cow’s milk allergy (CMA) is the most prevalent type of food allergy among infants, affecting up to 3.8% of small children. Hypoallergenic infant formulas based on hydrolysed cow’s milk proteins are commercially available for the management of CMA. Yet, there is a growing demand for more options for infant feeding, both in general but especially for the prevention and management of CMA. Milk from other mammalian sources than the cow, such as goat, sheep, camel, donkey, and horse, has received some attention in the last decade due to the different protein composition profile and protein amino acid sequences, resulting in a potentially low cross-reactivity with cow’s milk proteins. Recently, proteins from plant sources, such as potato, lentil, chickpeas, quinoa, in addition to soy and rice, have gained increased interest due to their climate friendly and vegan status as well as potential lower allergenicity. In this review, we provide an overview of current and potential future infant formulas and their relevance in CMA prevention and management.
Evaluation of Surgically Treated Primary Spinal Cord Tumors in a Single Brazilian Institution: A Case Series Study of 104 Patients

Background: Primary spinal cord tumors are rare and heterogeneous, and their prevalence varies among the studies. Few articles have evaluated the prevalence, characteristics, and histological types of spinal cord tumors in Latin American populations. This study aimed to analyze the histological types and clinical aspects of a series of consecutive patients diagnosed with primary spinal cord tumors who underwent surgical treatment in a single Brazilian institution and to compare them with the literature. Methods: This is a case series study, with retrospective analysis of all consecutive adult patients who underwent surgical treatment for primary spinal cord tumors in a single center between January 1997 and April 2021. Data analyzed included age at surgery, sex, anatomical location, histopathological diagnosis, clinical presentation, and neurological status at discharge. Results: A total of 104 patients (53 women [51.0%]; mean age, 49.0 ± 16.7 years [range, 19-87 years]) were included in the analysis. Among the tumors, 83.7% were benign, and 36.5% involved the thoracic spine; intradural extramedullary lesions comprised 52.9% of the tumors, and the most prevalent were schwannomas (26.9%) and meningiomas (18.3%). Among the patients, 55% and 50% presented with pain and motor deficit, respectively, and the deficit improvement rate was greater than the worsening rate at the immediate postoperative period and discharge. Conclusions: Our series highlights the heterogeneity of primary spinal cord tumors compared to other studies. Further large population studies are necessary to elucidate the epidemiology of this disease.
De Novo Assembly Transcriptome Analysis Reveals the Preliminary Molecular Mechanism of Primordium Formation in Pleurotus tuoliensis

Primordium formation is extremely important for yield of Pleurotus tuoliensis. However, the molecular mechanism underlying primordium formation is largely unknown. This study investigated the transcriptional properties during primordium formation of P. tuoliensis by comparing transcriptome. Clean reads were assembled into 57,075 transcripts and 6874 unigenes. A total of 1397 differentially expressed genes were identified (26 DEGs altered in all stages). GO and KEGG enrichment analysis showed that these DEGs were involved in “oxidoreductase activity”, “glycolysis/gluconeogenesis”, “MAPK signaling pathways”, and “ribosomes”. Our results support further understanding of the transcriptional changes and molecular processes underlying primordium formation and differentiation of P. tuoliensis.