Miracle-dz/UniFAR-FTUs huggingface dataset:
DISTRIBUSI KLOROFIL-a PADA MUSIM TIMUR DI PERAIRAN SPERMONDE PROPINSI SULAWESI SELATAN (DISTRIBUTION OF CHLOROPHYLL-a IN THE SEASON OF EAST IN SPERMONDE AQUATIC SOUTH SULAWESI)

Klorofil-a adalah salah satu parameter yang benar-benar menentukan produktivitas primer di laut. Data klorofil-a dari MODIS AQUA / TERRA satelit yang diambil dari LAPAN (Lembaga Penerbangan Antariksa Nasional murah) di Pare-Pare pada setiap minggu sejak bulan Oktober 2007-Juni 2009 (musim timur). Menurut hasil penelitian, didapatkan bahwa kandungan klorofil-a pada musim timur cukup tinggi yaitu 0,15-1,15 mg/m3. Klorofil-a tertinggi konsentrasinya selalu di pulau dan daerah pantai atau pesisir yang merupakan efek pasokan nutrisi yang berasal dari daratan. Clorophyl-a is one of Parameter that really determining primary productivity in the sea. Clorophyll-a data from MODIS AQUA/TERRA satellite that take from LAPAN (Lembaga Penerbangan dan Antariksa Nasional) in Pare-Pare about data from each week start from Oktober 2007-June 2009 (east season ). According to the research result, we obtained an information that clorophyl-a consentration on season west was high enough were is 0.15 – 1.15 mg/m 3 . High Clorophyll-a consentration is always near the island and beach area or coastal area due to the effect of nutrient supply that come from continent.
Endovascular management of acute and subacute venous thoracic outlet syndrome

Approximately 3% of all patients presenting with Thoracic Outlet Syndrome have a venous etiology (vTOS), which is considered “effort thrombosis”. These patients will present with symptomatic deep venous thrombosis or focal subclavian vein (SCV) stenosis. Endovascular management of vTOS occurs in several phases: diagnostic, preoperative therapeutic intervention before decompression, postoperative interventions after decompression, and delayed interventions in the follow-up after decompression. In the diagnostic phase, dynamic SCV venography can establish functional vTOS. Approximately 4,000 patients have been treated for vTOS and reported in the literature since 1970. Declotting of the SCV was followed by surgical decompression in 53% of patients, while in the remainder, surgical decompression alone (18%), endovascular intervention alone (15%), or conservative therapy with anticoagulation (15%) was performed. The initial intervention was predominantly catheter-directed thrombolysis, with <10% of cases undergoing concomitant balloon angioplasty. 93% of cases were successful. In the postoperative phase, balloon angioplasty was performed to correct residual intrinsic SCV disease after vTOS decompression in under 15% of cases. Stents were rarely deployed. Symptom relief was reported as 94 ± 12% (mean ± SD) and 90 ± 23%, respectively for declotting with decompression and declotting alone. In the delayed phase, balloon angioplasty was performed in under 15% of cases to re-establish patency.
Variable Optical Attenuator Based on a PDMS-Embedded Microfiber Coupler

We demonstrate a novel fiber-compatible variable optical attenuator (VOA) based on a tunable microfiber coupler, which is assembled by embedding two parallel 2.5-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>-diameter microfibers in a 250-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>-thickness polydimethylsiloxane (PDMS) film with a separation of <inline-formula> <tex-math notation="LaTeX">$2.5~\mu \text{m}$ </tex-math></inline-formula> and a coupling length of 3 mm. Based on the strain-dependent refractive index of the PDMS, the attenuation of the VOA can be continuously tuned from 0.4 dB to 15.3 dB at 1550 nm wavelength with an insertion loss of 0.4 dB. The VOA presented here has advantages of excellent fiber compatibility, low insertion loss and compact structure.
Does a Multidisciplinary Pain Management Treatment Improve Sleep Quality in Patients with Chronic Widespread Pain and Sleep Problems? Results from the AMS-Pain Cohort

Background: Poor sleep quality is a significant concern for patients with chronic widespread pain (CWP), impacting their emotional, cognitive, and physical well-being. While there is little specific attention given to the treatment of sleep in such programs, it is possible that its ingredients, such as cognitive behavioral therapy, improving body awareness, relaxation, having a balanced daily routine, and physical activity, have a positive effect on sleep. The objectives of this study are to examine: 1. whether sleep improves after a multidisciplinary pain management treatment. 2. and to explore predictors of treatment outcome, in patients with chronic widespread pain (CWP) and sleep problems. Methods: Data were used from pre- and post-treatment measurements of 121 patients with CWP and sleep problems, treated with a multidisciplinary pain management treatment (not specifically focusing on sleep). Mean difference in subjective sleep quality and standard outcome of multidisciplinary treatment, as measured with Pittsburg Sleep Quality Index (PSQI) and IMMPACT outcome measures, were analyzed and Cohens d were calculated. Regression models were used to assess whether pretreatment variables predicted poor improvement of subjective sleep quality post treatment. Results: The effect size of improvement in sleep quality was small (Cohen’s d=0.3) and 94% of the patients still experienced poor sleep quality after treatment (PSQI ≥ 6). Moderate effects sizes were found for pain (d=0.6), fatigue (d=0.56) and disability (d=0.53). Pretreatment poorer sleep quality, higher levels of pain related disability, psychological distress and less concern predicted poorer sleep quality post-treatment. Conclusion: The improvement of sleep quality after following a multidisciplinary pain management treatment not specifically focusing on sleep was limited. To improve sleep, specific strategies targeting sleep (e.g., sleep education, sleep hygiene and /or cognitive behavioral therapy for sleep) may need to be included into multidisciplinary treatment. Addressing pain related disability and psychological distress, may also help to improve sleep quality.
INVESTIGATING FINANCIAL FRAUDS IN THE MODERN LANDSCAPE: A FORENSIC ACCOUNTING PERSPECTIVE IN THE COVID-19 ERA

This paper explores the evolving landscape of forensic accounting, particularly in the context of changing financial frauds and the challenges posed by the COVID-19 pandemic. The progression of financial fraud over time, driven by technological advancements and shifting business environments, highlights the necessity for adaptive and innovative approaches to fraud detection and prevention. Advanced methodologies, including data analytics, digital forensics, and artificial intelligence, have empowered forensic accountants to confront increasingly sophisticated fraud schemes. The examination of frauds arising from the pandemic underscores the resilience of fraudsters in exploiting vulnerabilities during crises. This paper underscores the importance of forensic accounting in upholding financial integrity, ethical standards, and business resilience. It calls for continuous research, innovation, and vigilance in the field of forensic accounting to counter emerging fraud schemes and evolving business landscapes.
Safety and Efficacy of Pulmonary Rehabilitation for Long COVID Patients Experiencing Long-Lasting Symptoms

Due to the high prevalence and persistence of long COVID, it is important to evaluate the safety and efficacy of pulmonary rehabilitation (PR) for patients who experience long-lasting symptoms more than six months after initial COVID-19 onset. Enrolled patients were admitted for a four-week in-patient-PR due to long COVID symptoms (n = 47). The safety of PR was confirmed by the absence of adverse events. Symptom-related outcomes were evaluated pre- and post-PR with significant score changes for: 6 min walking distance (61 [28 to 103] m), quality of life (mental Short Form-12: 10 [6 to 13], and physical: 9 [6 to 12]), Montreal Cognitive Assessment (1 [0 to 3]), fatigue (MFI-20: −19 [−28 to −8]), dyspnea (DYSPNEA-12: −7 [−9 to −2] and mMRC; −1 [−1 to 0]), Nijmegen questionnaire (−8 [−11 to −5]), anxiety and depression (HADS:−4 [−5 to −2] and −2 [−4 to −1], respectively) and posttraumatic stress disorder checklist scale (−8 [−12 to −4]). At the individual level, the percentage of symptomatic patients for each outcome decreased, with a high response rate, and the number of persistent symptoms per patient was reduced from six at PR initiation to three at the end of the program. Our results show that in-PR is safe and efficient at decreasing long-lasting symptoms experienced by long COVID patients at more than six months after initial disease onset.
Geostatistical design and analysis for estimating local variations in malaria disease burden

Geostatistical design and analysis methods are increasingly used in disease mapping, particularly in resource-limited settings where uniformly precise mapping may be unrealistically costly and the priority is often to identify critical areas where interventions can have the most health impact. In this thesis, which is based on four papers, we address the problem of geostatistical sampling design. In the first paper, we consider the problem of sampling design for efficient spatial prediction taking account of uncertain covariance structure, in the context of nonadaptive designs. We propose two classes of designs, namely: simple inhibitory and inhibitory plus close pairs. We evaluate the performance of these designs using an average prediction variance criterion and show how the findings are applied to the design of a rolling Malaria Indicator Survey (rMIS) in an ongoing large-scale, five-year malaria transmission reduction project in Malawi. In the second paper, we address the problem of efficient spatial prediction in the context of adaptive geostatistical designs (AGD). We propose two classes of designs based on singleton and batch sampling. We show how our findings inform an AGD of rMIS, in the perimeter of Majete Wildlife Reserve (MWR) in Chikwawa, southern Malawi. The third paper is a commentary on a paper by Ferreira and Gamerman (2015), which addressed the effect of preferential sampling of the locations at which to measure a spatial process. In the fourth paper, we present the first epidemiological field application of AGD sampling in a malaria prevalence survey. We give an in-depth description of the project, the study area and practical implementation of our adaptive sampling strategy. We present prevalence maps for children 6–59 months in MWR perimeter, showing high malaria transmission areas, often called “hotspots”, that could be targeted with interventions.
Factors Affecting the Formation of False Health Information and the Role of Social Media Literacy in Reducing Its Effects

The COVID-19 pandemic heightened concerns about health and safety, leading people to seek information to protect themselves from infection. Even before the pandemic, false health information was spreading on social media. We conducted a review of recent literature in health and social sciences and proposed a theoretical model to understand the factors influencing the spread of false health information. Our focus was on how false health information circulated before and during the pandemic, impacting people’s perceptions of believing information on social media. We identified four possible strategies to counteract the negative effects of false health information: prebunking, refuting, legislation, and media literacy. We argue that improving people’s social media literacy skills is among the most effective ways to address this issue. Our findings provide a basis for future research and the development of policies to minimize the impact of false health information on society.
BioModME for building and simulating dynamic computational models of complex biological systems

Abstract Summary Molecular mechanisms of biological functions and disease processes are exceptionally complex, and our ability to interrogate and understand relationships is becoming increasingly dependent on the use of computational modeling. We have developed “BioModME,” a standalone R-based web application package, providing an intuitive and comprehensive graphical user interface to help investigators build, solve, visualize, and analyze computational models of complex biological systems. Some important features of the application package include multi-region system modeling, custom reaction rate laws and equations, unit conversion, model parameter estimation utilizing experimental data, and import and export of model information in the Systems Biology Matkup Language format. The users can also export models to MATLAB, R, and Python languages and the equations to LaTeX and Mathematical Markup Language formats. Other important features include an online model development platform, multi-modality visualization tool, and efficient numerical solvers for differential-algebraic equations and optimization. Availability and implementation All relevant software information including documentation and tutorials can be found at https://mcw.marquette. edu/biomedical-engineering/computational-systems-biology-lab/biomodme.php. Deployed software can be accessed at https://biomodme.ctsi. mcw.edu/. Source code is freely available for download at https://github.com/MCWComputationalBiologyLab/BioModME.
Conceptual Design of a 33 T Cryogen-Free Magnet REBCO Insert: Mechanical Aspects and Protection Against Thermal Runaway

The development of a 33 T cryogen-free magnet is taking place at the High Field Lab. for Superconducting Materials, Tohoku University. It consists of a 14 T large bore LTS background magnet with a 19 T REBCO insert, which is the focus of this work. As it is conduction-cooled and must be ramped-up rapidly, a conventional isolated pancake-based design is preferred for the insert coil. It will follow the robust REBCO coil concept already introduced in previous works, with the so-called edge-impregnation technique enabling stress redistribution as well as conduction-cooling and a conductor made of two tapes co-wound for reliability. Still, the exact conductor structure is not yet fixed, in particular in terms of mechanical reinforcement. In this work, the REBCO coil design is discussed from two point of views: coil mechanical behavior and protection against local thermal runaway when operated in combination with the LTS outsert, using modelling approaches. The necessary tradeoff between mechanical and electrical margins is highlighted, guiding the choice for the future 33 T insert conductor structure.
Effect of the ROCK inhibitor fasudil on the brain proteomic profile in the tau transgenic mouse model of Alzheimer's disease

Introduction The goal of this study is to explore the pharmacological potential of the amyloid-reducing vasodilator fasudil, a selective Ras homolog (Rho)-associated kinases (ROCK) inhibitor, in the P301S tau transgenic mouse model (Line PS19) of neurodegenerative tauopathy and Alzheimer's disease (AD). Methods We used LC-MS/MS, ELISA and bioinformatic approaches to investigate the effect of treatment with fasudil on the brain proteomic profile in PS19 tau transgenic mice. We also explored the efficacy of fasudil in reducing tau phosphorylation, and the potential beneficial and/or toxic effects of its administration in mice. Results Proteomic profiling of mice brains exposed to fasudil revealed the activation of the mitochondrial tricarboxylic acid (TCA) cycle and blood-brain barrier (BBB) gap junction metabolic pathways. We also observed a significant negative correlation between the brain levels of phosphorylated tau (pTau) at residue 396 and both fasudil and its metabolite hydroxyfasudil. Conclusions Our results provide evidence on the activation of proteins and pathways related to mitochondria and BBB functions by fasudil treatment and support its further development and therapeutic potential for AD.
Quantifying human gray matter microstructure using neurite exchange imaging (NEXI) and 300 mT/m gradients

Abstract Biophysical models of diffusion tailored to quantify gray matter microstructure are gathering increasing interest. The two-compartment Neurite EXchange Imaging (NEXI) model has been proposed recently to account for neurites, extra-cellular space, and exchange across the cell membrane. NEXI parameter estimation requires multi-shell multi-diffusion time data and has so far only been implemented experimentally on animal data collected on a preclinical magnetic resonance imaging (MRI) set-up. In this work, the translation of NEXI to the human cortex in vivo was achieved using a 3 T Connectom MRI system with 300 mT/m gradients, that enables the acquisition of a broad range of b-values (0 – 7.5 ms/µm²) with a window covering short to intermediate diffusion times (20 – 49 ms) suitable for the characteristic exchange times (10 – 50 ms). Microstructure estimates of four model variants: NEXI, NEXIdot (its extension with the addition of a dot compartment), and their respective versions that correct for the Rician noise floor (NEXIRM and NEXIdot,RM) that particularly impacts high b-value signal, were compared. The reliability of estimates in each model variant was evaluated in synthetic and human in vivo data. In the latter, the intra-subject (scan-rescan) versus between-subjects variability of microstructure estimates was compared in the cortex. The better performance of NEXIRM highlights the importance of correcting for Rician bias in the NEXI model to obtain accurate estimates of microstructure parameters in the human cortex, and the sensitivity of the NEXI framework to individual differences in cortical microstructure. This application of NEXI in humans represents a significant step, unlocking new avenues for studying neurodevelopment, aging, and various neurodegenerative disorders.
Bit-Complemented Test Data to Replace the Tail of a Fault Coverage Curve

The fabrication processes of chips in state-of-the-art technologies may introduce defects of various types, and a large number of tests may be needed for fault detection. However, constraints on the storage requirements of a test set can limit the number of tests and, consequently, the fault coverage. It was shown earlier that reductions in the input storage requirements of a test set can be achieved by using the same stored tests for applying several different tests. One of the operators used for this purpose complements bits of applied tests. The key contributions of this article to this scenario are the following. These issues are considered here for the first time: 1) the use of bit-complemented tests is guided by the fault coverage curve of a complete test set and bit-complementation is applied to tests from the beginning of the fault coverage curve to replace tests at the tail of the curve that detect small numbers of faults; 2) the input and output test data volume are considered together and bit-complementation is used for storing both the tests and their output responses; and 3) the procedure described in this article explores the tradeoff between the storage requirements and the number of applied tests. Experimental results for single-cycle gate-exhaustive faults in benchmark circuits demonstrate the tradeoff.
Underwater Efficient Data Routing: Clustering-Travel Salesman Protocol (CTSP)

Preserving sensor nodes’ energy in underwater sensor networks (UWSNs) stands as a crucial priority. UWSNs find key applications in ocean monitoring, offshore oil and gas exploration, and underwater robotic operations. Our study introduces a novel approach (CTSP) utilizing clustering alongside the Traveling Salesman (TS) Protocol to optimize data routing in UWSNs while minimizing energy usage. By adjusting the pathways of data transmission among sensor nodes, this method aims to curtail the network’s overall power consumption. CTSP primarily relies on two fundamental components: TS and clustering. Leveraging the TS Protocol allows the determination of the most efficient route between any pair of sensor nodes within the network. The approach ensures that each sensor node transmits data solely to its nearest neighbor, thereby reducing the energy required for transmission. Utilizing the positions of sensor nodes as input, a clustering algorithm forms larger groups. Enhanced communication within clusters and reduced long-range communication between clusters contribute to energy conservation. Simulation results demonstrate that the proposed method significantly diminishes power consumption compared to traditional routing methods like the LEACH algorithm. Precisely, the CTSP method exhibits the potential to reduce energy usage by up to 50%, presenting a feasible option for energy-efficient data routing in underwater settings.
Isogeometric B-Rep analysis in partitioned fluid-structure interaction with application to aeroelastic wind turbine simulations

Isogeometric B-Rep computational model of the NREL phase VI wind turbine blades Shells are playing an important role in engineering design as they demonstrate excellent load carrying capacity. Especially beneficial for thin shells is the Kirchhoff-Love shell model which is purely displacement-based, see in [1]. Isogeometric analysis (IGA) (firstly introduced in [2]) is a recent numerical method for solving Partial Differential Equations (PDEs) using the exact geometric information for the discretization of the unknown fields. It is challenging to numerically solve Kirchhoff-Love shell problems using the “classical” Finite Element Method (FEM) which typically uses C 0-continuous low order polynomial basis functions. This is due to the high variational index that the weak form of the Kirchhoff-Love shell problem has. However, IGA is perfectly suitable for its application to this kind of problems since the underlying Non-Uniform Rational B-Spline (NURBS) basis functions are typically smooth [3].
A Novel Weighted-Counter Method for Simulating Coherent TWDP Fading Channels

New channel simulation models are needed for the study of future wireless networks, 5G and beyond. A novel simulation technique dubbed weighted-counting is proposed. It is used to generate random variates having the two-wave with diffuse power (TWDP) fading amplitude distribution. The TWDP channel model describes high-speed train, femtocell, sea surface, heterogeneous, and other channels having two different dominant line-of-sight waves as well as scatter power components.
Pesticide Nanoformulations Based on Sunlight-Activated Controlled Release of Abamectin

A controlled release system that enables the sunlight-triggered release of a model agrochemical, abamectin (abm), is presented. The release system consists of polydopamine functionalized halloysite nanotubes (HNT-PDA) utilized as photothermal nanocarriers to encapsulate 25 wt % abm and 37 wt % lauric acid (LA), a phase change material, that acts as a heat-activable gatekeeper stopping or facilitating the abm release. When exposed to sunlight for 20 min at 1 and 3 sun light density, the temperature of the photothermal nanocarriers reaches 51 and 122 °C, respectively, which triggers the melting of LA and the consequent release of abm from the nanocarriers. Abm was shown to be released gradually over a period of 10 days when nanohybrids were exposed to sunlight for 6 h per day and to remain stable and kill Myzus persicae (Sulzer) (Hemiptera: Aphididae), green peach aphids, at a mortality rate of over 70% for at least 10 days. Aqueous dispersions of the LA/abm@HNT-PDA nanohybrids were studied in terms of their potential as aqueous sprayable pesticide nanoformulations and presented over 30% suspensibility, 36 mg/cm2 foliar retention, strong rainwater resistance, and a 50% mortality rate for M. persicae at a concentration of 9 mg/mL. The proposed sunlight-activated controlled release system based on photothermal, LA-functionalized HNT-PDA nanocarriers holds great potential as controlled release pesticide nanoformulations.