Miracle-dz/UniFAR-FTUs huggingface dataset:
Rhinolithiasis misdiagnosed as intranasal osteoma: Diagnostic challenges in the telehealth era

Rhinolithiasis is a rare clinical presentation and may be a diagnostic challenge, often mimicking other intranasal pathologies and difficult to differentiate based on imaging alone. We present the case of a 50-year-old patient with rhinolithiasis who presented with chronic left nasal obstruction and unilateral cyclic pain with foul discharge. After review of her imaging, she was initially misdiagnosed with an intranasal osteoma via telehealth and scheduled for surgical resection. Her true pathology of rhinolithiasis was subsequently identified and treated during an in-person pre-operative clinic visit. In this case report, we review the key characteristic elements of rhinolithiasis presentation, and in doing so, we reveal the limitations inherent to telehealth evaluations, and the considerations needed to be taken into account by providers evaluating intranasal lesions. Specifically, in-person assessment with a detailed endoscopy is critical as part of the complete workup of nasal cavity lesions.
Fully Bio-Based and Solvent-Free Polyester Polyol for Two-Component Polyurethane Coatings

In recent years, many efforts are being devoted to the development of new materials that originate from renewable resources. Polyesters are one of the most important classes of such materials and several bio-based monomers are available for their synthesis. In this work, the development of fully bio-based and solvent-free polyester polyol used for two-component polyurethane coatings on industrial scale is presented. Fossil-based raw materials were substituted with bio-based alternatives that are commercially available on a large scale. Properties of polyols and coatings were determined and measured. Polyols were characterized by the determination of acid number, hydroxyl number, glass transition temperature and refractive index, and measurement of viscosity, color and molecular weight. Coatings were characterized by the determination of mechanical properties, such as hardness, elasticity and impact resistance, and the measurement of optical properties such as gloss, haze, distinctness of image (DOI) and reflected image quality (RIQ) and weathering resistance. Three variations of bio-based polyol were synthesized, then the most suitable version was validated in a clear coat. The results showed that the properties of the bio-based polyol and coating met the requirements and were comparable to the properties of the synthetic counterpart. Results indicate that this newly developed 100% bio-based and solvent-free polyol can be used as a drop-in replacement for synthetic polyol. Furthermore, this work implies that the supply chain is established which allows the green transition in the paint industry.
Endogenous Inflation in the UEMOA Zone: Trade-Off Between Inflation and Output

Ensuring price stability is currently the priority objective of most central banks around the world, such as the BCEAO. However, one may wonder if the inflation targeting policy of between 1% and 3% is relevant? Several authors such as Kouame (2009), Combey and Nubupko (2010) have addressed this issue. Contrary to their approaches which use all the method of Hansen (1999) to highlight the endogenous level of inflation, this study proposes to highlight the existence of an endogenous threshold by the log quadratic model before its determination. The objective of this paper is to determine the level of endogenous inflation in WAEMU from the perspective of production. Our methodology, which is based on the criticisms of the Hansen model, consists in estimating two models: a log-linear model and a log-quadratic model. Using a robust estimation method, the Pooled Mean Group (PMG) on WAEMU data, it emerges on the one hand, the non-linearity of the Inflation-Production relationship in WAEMU, and the other hand, the level of endogenous inflation which maximizes production is estimated at 4.5%. Thus, the endogenous targeting policy of the BCEAO is not conducive to the stimulation of production and, by extension, to growth in the WAEMU space.
A Simplified Model of the Walker Circulation with an Interactive Ocean Mixed Layer and Cloud-Radiative Feedbacks

Abstract Cloud–climate feedbacks between precipitation, radiation, circulation strength, atmospheric temperature and moisture, and ocean temperature are studied with an idealized model of the Walker circulation in a nonrotating atmosphere coupled to an ocean mixed layer. This study has two main purposes: 1) to formulate a conceptual framework that includes the dominant feedbacks between clouds and a large-scale divergent circulation; and 2) to use this framework to investigate the sensitivity of the climate system to these interactions. Two cloud types—high, convective anvils and low, nonprecipitating stratus—are included and coupled to the large-scale dynamics. The atmosphere is coupled to an ocean mixed layer via a consistent surface energy budget. Analytic approximations with a simplified radiation scheme are derived and used to explain numerical results with a more realistic radiation scheme. The model simplicity allows interactions between different parts of the ocean–atmosphere system to be cleanly .
On the Mellor–Yamada Turbulence Closure Scheme: The Surface Boundary Condition for q2

Abstract A numerical model that uses a level-2½ turbulence closure scheme is used to compare two boundary conditions for the turbulent energy at the air–sea interface. One boundary condition, the most commonly used, sets the turbulent kinetic energy proportional to the friction velocity squared, while the other sets the vertical diffusive flux of turbulent kinetic energy proportional to the friction velocity cubed. The first boundary condition arises from consideration (simplification) of the turbulence closure scheme near boundaries, and the second arises from consideration of the influence of surface gravity waves on the transfer of turbulent kinetic energy from the wind to the water. Simulations using these two boundary conditions are compared to month-long observations of velocity, temperature, and salinity (as shallow as 2 m from the surface) from Knight Inlet, British Columbia, Canada. The circulation in the inlet is strongly influenced by the wind, tides, and freshwater runoff. The two boundary con.
Pseudomonas fluorescens MFE01 uses 1-undecene as aerial communication molecule

Bacterial communication is a fundamental process used to synchronize gene expression and collective behavior among the bacterial population. The most studied bacterial communication system is quorum sensing, a cell density system, in which the concentration of inductors increases to a threshold level allowing detection by specific receptors. As a result, bacteria can change their behavior in a coordinated way. While in Pseudomonas quorum sensing based on the synthesis of N-acyl homoserine lactone molecules is well studied, volatile organic compounds, although considered to be communication signals in the rhizosphere, are understudied. The Pseudomonas fluorescens MFE01 strain has a very active type six secretion system that can kill some competitive bacteria. Furthermore, MFE01 emits numerous volatile organic compounds, including 1-undecene, which contributes to the aerial inhibition of Legionella pneumophila growth. Finally, MFE01 appears to be deprived of N-acyl homoserine lactone synthase. The main objective of this study was to explore the role of 1-undecene in the communication of MFE01. We constructed a mutant affected in undA gene encoding the enzyme responsible for 1-undecene synthesis to provide further insight into the role of 1-undecene in MFE01. First, we studied the impacts of this mutation both on volatile organic compounds emission, using headspace solid-phase microextraction combined with gas chromatography-mass spectrometry and on L. pneumophila long-range inhibition. Then, we analyzed influence of 1-undecene on MFE01 coordinated phenotypes, including type six secretion system activity and biofilm formation. Next, to test the ability of MFE01 to synthesize N-acyl homoserine lactones in our conditions, we investigated in silico the presence of corresponding genes across the MFE01 genome and we exposed its biofilms to an N-acyl homoserine lactone-degrading enzyme. Finally, we examined the effects of 1-undecene emission on MFE01 biofilm maturation and aerial communication using an original experimental set-up. This study demonstrated that the ΔundA mutant is impaired in biofilm maturation. An exposure of the ΔundA mutant to the volatile compounds emitted by MFE01 during the biofilm development restored the biofilm maturation process. These findings indicate that P. fluorescens MFE01 uses 1-undecene emission for aerial communication, reporting for the first time this volatile organic compound as bacterial intraspecific communication signal.
Temporal allocation of groundwater

A relatively simple economic model for allocation of groundwater in time is developed. The economic consequences of altering various parameters in the model are examined with respect to the effect on equilibrium stocks and rate of use. The concept of a conditional decision rule for stochastic groundwater recharge and the properties of the implied equilibrium are discussed. In its simplest form, the derived decision rule is to equate marginal net output with respect to rate of use to capitalized marginal net output with respect to water stocks.
Structured Ecological Cultivation With Autonomous Robots in Agriculture: Toward a Fully Autonomous Robotic Indoor Farming System

To support the hypothesis that embracing robotics has the potential to address farming challenges and, at the same time, replace large and complex farm machinery, this article proposes designing a farm around a heterogeneous robotic system dubbed Structured Ecological Cultivation With Autonomous Robots in Agriculture (SPECULARIA). This multirobot system has mobile robots deployed to work just like in a warehouse, moving plants grown in containers to make sure every plant receives optimal care in ideal growing conditions. By structuring the work cell environment around a stationary dual-arm manipulator, the system can plan and execute procedures to control every plant’s growth and hygiene, from seed to harvest. Such a system surpasses current farming robots in scalability and versatility. We showcase compliance control algorithms combined with artificial intelligence (AI), which helps build a functional model of the plant. The same approach is used to program different plant treatments. Finally, we benchmark the proposed setup with a classical mobile manipulation approach to demonstrate its feasibility.
Anisotropy Analysis in Shale Using Advanced Sonic Data - Bakken Case Study*

Incorporating anisotropy in seismic data processing will improve accuracy in prestack depth migration, amplitude variation with offset (AVO) and hydraulic fracture monitoring, among which hydraulic fracing plays a critical role in production enhancement of tight reservoirs such as Bakken Formation. Considering shales as being vertically transverse isotropic (VTI), three Thomsen anisotropy parameters with five independent stiffness coefficients could be used to fully characterize them. So far, different methods are applied to measure these parameters directly such as walkaway vertical seismic profiling (VSP), multi-offset and multi-azimuthal VSP. Although these surveys can provide us reliable anisotropic models, various constraints including the cost could limit recording the VSPs. Recent innovations in the acquisition of broadband sonic waveforms and dispersion analysis have changed the industry’s perspective on cost of anisotropy analysis. In this paper, advanced sonic data in two producing wells in the Bakken Formation, each drilled through different geologic features has been acquired and analyzed. One is located on the crest of Nesson anticline, the major geologic structure in the area. The other is away from the anticline and none of the Nesson geologic feature is visible. First, five stiffness moduli were estimated from the Stoneley, two flexural waves and formation density. Second, the Thomsen parameters in three members (upper, middle and lower) of Bakken were calculated and compared one another. It has been found that the Upper and Lower Bakken are highly VTI because of the clay platy particles, while the middle member is isotropic or slightly anisotropic. The well on the top of the anticline shows a higher degree of anisotropy in the middle member; and we interpreted this as the presence of fractures due to the folding. Finally, data inversion of Stoneley and two flexural waves was performed to create slowness radial profile around the borehole and in the far field
High expression of SPINT2 promotes immune infiltration and tumor progression in ovarian cancer

This study aimed to identify the function and mechanism of Serine Peptidase Inhibitor, Kunitz Type 2 (SPINT2) in ovarian cancer (OC). The expression of SPINT2 was analyzed using the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to identify enriched functional categories of SPINT2 and its correlated genes. Correlation of SPINT2 with OC immune infiltration level was analyzed using the Tumor IMmune Estimation Resource (TIMER) web server. The effect of SPINT2 on cell proliferation was detected using cell counting kit-8 (CCK-8) and colony formation assay. Its effects on cell migration and invasion were examined using the transwell assay. Function of SPINT2 in M2 macrophage recruitment was detected using the migration assay. The role of SPINT2 on M2 macrophage differentiation was evaluated using M2 macrophage markers and by detection of interleukin 10 (IL-10) release. An OC cohort study (GSE12470) showed that SPINT2 was highly expressed in OC. The high SPINT2 expression was related to shorter overall survival (OS) and poor recurrence-free survival (RFS). GO and KEGG analysis indicated that SPINT2 associated genes played roles in glycoprotein catabolism, cell adhesion and T cell differentiation. SPINT2 also played a key role in infiltration of macrophages in OC. shSPINT2 reduced viability and colony formation ability of ovarian cancer cell line SK-OV-3 cells. Moreover, shSPINT2 also inhibited the cell migration and invasion. Co-culture of shSPINT2 transfected SK-OV-3 cells with macrophages inhibited the migration of M2 macrophages, and inhibited macrophages polarization from M0 to M2. These results suggested that SPINT2 is involved in infiltration of tumor-associated macrophages (TAMs). SPINT2 also plays an important role in the polarization and migration of macrophages. These findings suggested that SPINT2 has the potential to be explored as a biomarker for OC and a potential target.
A Novel Fractal Hilbert Curve-Based Low-Cost and Highly Sensitive Microwave Sensor for Dielectric Characterization of Liquid Materials

This work proposes a fractal Hilbert curve-based low-cost, easy-to-fabricate, highly sensitive, and noninvasive microwave sensor for the dielectric characterization of liquids. The sensor’s design comprises the second iteration of Hilbert curve fractal geometry and is fabricated on low-cost FR-4 material with an overall dimension of $0.28\,\,\lambda _{{0}} \times 0.224\,\,\lambda _{{0}} \times 0.012\,\,\lambda _{{0}}$ . The liquid-under test (LUT) is placed in a closed vicinity of the high electric field region to achieve better sensitivity. The central operating frequency of the sensor is 3.035 GHz for air, and the variation in resonant frequencies of a range of liquids is observed to determine their respective dielectric characteristics. A maximum shift of 1.68 GHz in the resonant frequency was observed for deionized water, and a maximum ${Q}$ -factor of 283.14 was observed for ethanol. The curve fitting technique determines the values of the dielectric constant and loss tangent. For various considered cases in the dielectric permittivity range of 1–79, the root-mean-square errors of retrieved parameters are found to be less than 0.1%. Our proposed design with affordability, compact footprint, and ease of operation exhibits superior performance over the state-of-the-art in terms of sensitivity for the characterization of a wide range of liquid materials.
PREPARASI KARBON AKTIF LIMBAH KULIT UBI KAYU MENGGUNAKAN AKTIVASI NAOH BERBANTUAN GELOMBANG MIKRO

Penelitian ini bertujuan Untuk mengetahui pengaruh konsentrasi NaOH sebagai aktivator berbantuan gelombang mikro terhadap sifat fisis, luas permukaan dan gugus fungsi karbon aktif dari limbah kulit ubi kayu.Karbonisasi dilakukanmenggunakan furnance pada temperatur 500oC selama 1 jam.Aktivasi karbon menggunakan larutan NaOH dengan variasi konsentrasi 2,0%, 2,5% dan 3%. Iradiasi menggunakan microwave dengan daya 630 Watt selama 20 menit. Analisis yang dilakukan meliputi uji kadar air, kadar abu, kadar zat menguap, kadar karbon, luas permukaan menggunakan UV-Vis dan gugus fungsi menggunakan FTIR. Hasil penelitian ini menunjukkan bahwa Konsentrasi NaOH mempengaruhi beberapa karakteristik arang aktif yang dihasilkan dari kulit ubi.Konsentrasi NaOH 3% menghasilkan arang aktif dengan karakter terbaik, dengan kadar air sebesar 6,93%, kadar zat mudah menguap sebesar 21,89%, kadar abu total sebesar 9,39%, kadar karbon sebesar 68,71%. Analisis luas permukaan menunjukkan bahwa variasi konsentrasi NaOH berpengaruh terhadap luas permukaan dengan nilai berturut-turut 34,0605 m2/g, 34,6276 m2/g, 34,6590 m2/g. Pengujian gugus fungsi menunjukkan adanya gugus fungsi OH hydroxyl, C=C aromatic, C-O carboxyl acid, C-H alkana, C-H aromatic, N-H amina, dan OH alcohols.
An artificial intelligence-integrated analysis of the effect of drought stress on root traits of “modern” and “ancient” wheat varieties

Due to drought stress, durum wheat production in the Mediterranean basin will be severely affected in the coming years. Durum wheat cultivation relies on a few genetically uniform "modern" varieties, more productive but less tolerant to stresses, and "traditional" varieties, still representing a source of genetic biodiversity for drought tolerance. Root architecture plasticity is crucial for plant adaptation to drought stress and the relationship linking root structures to drought is complex and still largely under-explored. In this study, we examined the effect of drought stress on the roots’ characteristics of the “traditional” Saragolla cultivar and the “modern” Svevo. By means of “SmartRoot” software, we demonstrated that drought stress affected primary and lateral roots as well as root hair at different extents in Saragolla and Svevo cultivars. Indeed, we observed that under drought stress Saragolla possibly revamped its root architecture, by significantly increasing the length of lateral roots, and the length/density of root hairs compared to the Svevo cultivar. Scanning Electron Microscopy analysis of root anatomical traits demonstrated that under drought stress a greater stele area and an increase of the xylem lumen size vessel occurred in Saragolla, indicating that the Saragolla variety had a more efficient adaptive response to osmotic stress than the Svevo. Furthermore, for the analysis of root structural data, Artificial Intelligence (AI) algorithms have been used: Their application allowed to predict from root structural traits modified by the osmotic stress the type of cultivar observed and to infer the relationship stress-cultivar type, thus demonstrating that root structural traits are clear and incontrovertible indicators of the higher tolerance to osmotic stress of the Saragolla cultivar. Finally, to obtain an integrated view of root morphogenesis, phytohormone levels were investigated. According to the phenotypic effects, under drought stress,a larger increase in IAA and ABA levels, as well as a more pronounced reduction in GA levels occurred in Saragolla as compared to Svevo. In conclusion, these results show that the root growth and hormonal profile of Saragolla are less affected by osmotic stress than those of Svevo, demonstrating the great potential of ancient varieties as reservoirs of genetic variability for improving crop responses to environmental stresses.
Ultimately Bounded State Estimation for Discrete-Time Singularly Perturbed Complex Networks Under Bit Rate Constraints

In this paper, the ultimately bounded state estimation problem is investigated for discrete-time singularly perturbed complex networks (SPCNs) under bit rate constraints. The measurement outputs of the considered SPCNs are transmitted to the remote estimator through a bandwidth-limited wireless network where a coding-decoding mechanism is employed. A state estimator is developed by fully considering the effects of the constrained bit rate to achieve the desired estimation performance index. The boundedness of the estimation error dynamics is analyzed with the help of the constructed Lyapunov-like functional candidate. Finally, a simulation example is used to verify the correctness of the obtained theoretical results.
Text Similarity Measurement using PGTRGM Module Function PostgreSQL

Perkembangan pemanfaatan teknologi dalam pengolahan informasi memberikan dampak besar dalam memudahkan manusia untuk menemukan suatu data yang spesifik dalam kumpulan data yang besar. Algoritma pencarian informasi dalam bentuk teks dapat memanfaatkan metode pengukuran kemiripan teks untuk membandingkan suatu teks atau informasi yang dicari dengan teks lain dalam kumpulan data yang besar. Penelitian ini melakukan pengukuran nilai kemiripan kumpulan kata dengan kumpulan kata lain menggunakan modul yang tersedia pada basis data PostgreSQL. Algoritma pengukuran kemiripan teks menggunakan extension modul pg-trgm yang berbasis n-gram pada PostgreSQL. Pengujian dilakukan dengan membandingkan dua teks berbeda dengan menggunakan function yang terdapat pada modul pg-trgm. Hasil pengujian menggunakan sepuluh skenario pengujian diperoleh sebanyak lima hasil pengukuran dengan nilai kemiripan yang sama antara function similarity dengan word similarity. Perhitungan dengan algoritma function word similarity menghasilkan lima hasil pengukuran yang lebih baik.
An overview of regulatory perspectives of nanoparticles and liposomal products in India and USA

Nanoparticles and Liposomal products have significantly contributed for managing various disorders and diseases. Drug delivery system is important and assisting in developing various therapeutic regimen. The present write-up discussed the role of novel drug delivery system, particularly applications of nanoparticles and liposomal products and regulatory requirement for these products. The article emphasises that there are enormous research opportunities and global collaboration is essential for promoting research and drug approval.