Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics of Inflammatory and Neurodegenerative Biomarkers after Autologous Hematopoietic Stem Cell Transplantation in Multiple Sclerosis

Autologous hematopoietic stem cell transplantation (aHSCT) is a highly efficient treatment of multiple sclerosis (MS), and hence it likely normalizes pathological and/or enhances beneficial processes in MS. The disease pathomechanisms include neuroinflammation, glial cell activation and neuronal damage. We studied biomarkers that in part reflect these, like markers for neuroinflammation (C-X-C motif chemokine ligand (CXCL) 9, CXCL10, CXCL13, and chitinase 3-like 1 (CHI3L1)), glial perturbations (glial fibrillary acidic protein (GFAP) and in part CHI3L1), and neurodegeneration (neurofilament light chain (NfL)) by enzyme-linked immunosorbent assays (ELISA) and single-molecule array assay (SIMOA) in the serum and cerebrospinal fluid (CSF) of 32 MS patients that underwent aHSCT. We sampled before and at 1, 3, 6, 12, 24 and 36 months after aHSCT for serum, as well as before and 24 months after aHSCT for CSF. We found a strong increase of serum CXCL10, NfL and GFAP one month after the transplantation, which normalized one and two years post-aHSCT. CXCL10 was particularly increased in patients that experienced reactivation of cytomegalovirus (CMV) infection, but not those with Epstein-Barr virus (EBV) reactivation. Furthermore, patients with CMV reactivation showed increased Th1 phenotype in effector memory CD4+ T cells. Changes of the other serum markers were more subtle with a trend for an increase in serum CXCL9 early post-aHSCT. In CSF, GFAP levels were increased 24 months after aHSCT, which may indicate sustained astroglia activation 24 months post-aHSCT. Other CSF markers remained largely stable. We conclude that MS-related biomarkers indicate neurotoxicity early after aHSCT that normalizes after one year while astrocyte activation appears increased beyond that, and increased serum CXCL10 likely does not reflect inflammation within the central nervous system (CNS) but rather occurs in the context of CMV reactivation or other infections post-aHSCT.
Self-Organized Criticality as a Phase Transition

The original sandpile model of Bak, Tang and Wiesenfeld from 1987 has in-spired lots of consequent work and further ideas of how to describe the birth ofscale-invariant statistics in various systems and in particular models. In this articlethe basic ingredients of self-organized criticality (SOC)are overviewed. In linewith the orginal arguments of BTW SOC is now known to be a property of systemswhere dissipation and external drive maintain a delicate balance. The qualitativeand quantitive understanding of the SOC state and deviations from it can thus beaddressed, by mapping the typical cellular automata exhibiting SOC to theories,that in fact describe critical extended systems as such. Currently two such ap-proaches are known, based on the connections of SOC to variants of absorbingstate phase transitions and the physics of elastic manifolds or interfaces in randommedia. These are reviewed and discussed. Finally, some open theoretical problemsand experimental suggestions are outlined.
Alkaline Treatment Variables to Characterize Poly(Vinyl Alcohol)/Poly(Vinyl Butyral/Vinyl Alcohol) Blend Films

Novel poly(vinyl alcohol) (PVA)/poly(vinyl butyral–vinyl alcohol) (P(VB-VA)) films with improved hydrophobicity were prepared from poly(vinyl acetate) (PVAc)/poly(vinyl butyral) (PVB) blend films with various mass ratios by saponification in a heterogeneous medium. The successful conversion of PVAc to PVA and PVAc/PVB to PVA/P(VB-VA) films was confirmed by Fourier transform infrared spectrometry, X-ray diffraction, and proton nuclear magnetic resonance analysis. This study also shows that the degree of saponification (DS) depends on the saponification time. The maximum DS of 99.99% was obtained at 96 h of saponification for all films, and the presence of PVB did not affect the DS at saponification times of 48–96 h. The effects of the PVAc/PVB blend ratio before and after saponification were determined by contact angle measurement, and the hydrophobicity was found to increase in both cases with increasing PVB content. Additionally, all the films exhibited improved mechanical properties after saponification, and the treated films possessed an unusual porous and uneven surface, in contrast with the untreated films. The prepared films with improved hydrophobicity can be used for various applications, such as biomaterials, filters, and medical devices.
An Efficient Retrieval System Framework for Fabrics Based on Fine-Grained Similarity

In the context of “double carbon”, as a traditional high energy consumption industry, the textile industry is facing the severe challenges of energy saving and emission reduction. To improve production efficiency in the textile industry, we propose the use of content-based image retrieval technology to shorten the fabric production cycle. However, fabric retrieval has high requirements for results, which makes it difficult for common retrieval methods to be directly applied to fabric retrieval. This paper presents a novel method for fabric image retrieval. Firstly, we define a fine-grained similarity to measure the similarity between two fabric images. Then, a convolutional neural network with a compact structure and cross-domain connections is designed to narrow the gap between fabric images and similarities. To overcome the problems of probabilistic missing and difficult training in classical hashing, we introduce a variational network module and structural module into the hashing model, which is called DVSH. We employ list-wise learning to perform similarity embedding. The experimental results demonstrate the superiority and efficiency of the proposed hashing model, DVSH.
Clinical Prevalence, Antibiogram Profiling and Gompertz Growth Kinetics of Resistant Staphylococcus epidermidis Treated with Nanoparticles of Rosin Extracted from Pinus roxburghii

The rise of methicillin-resistant Staphylococcus epidermidis (MRSE) makes it difficult to treat infections that increase morbidity and mortality rates in various parts of the world. The study’s objectives include identifying the clinical prevalence, antibiogram profile, and Gompertz growth kinetics of MRSE treated with synthetically created nanoparticles of rosin obtained from Pinus roxburghii. A total of 64 of 200 clinical isolates of S. epidermidis (32% of the total) displayed sensitivity (40.62%) and resistance (59.37%) to seven different antibiotic classes. The most sensitive patterns of antibiotic resistance were seen in 20 (78.95%) and 24 (94.74%) isolates of MRSE against piperacillin/tazobactam and cephradine, respectively. Fosfomycine was found to be the most effective antibiotic against MRSE in 34 (89.47%) isolates, followed by amoxicillin. Successfully produced, described, and used against MRSE were rosin maleic anhydride nanoparticles with a size range of 250 nm to 350 nm. Five different concentrations of 25, 50, 75, 100, and 150 mg mL−1 rosin maleic anhydride nanoparticles were investigated to treat MRSE resistance. According to Gompertz growth kinetics, the maximal growth response was 32.54% higher and the lag phase was also 10.26% longer compared to the control when the amount of rosin maleic anhydride nanoparticles was increased in the MRSE. Following the application of rosin maleic anhydride nanoparticles, the growth period is extended from 6 to 8 h. A potential mechanism for cell disintegration and distortion is put forth. This investigation came to the conclusion that rosin maleic anhydride nanoparticles better interfere with the surface of MRSE and demonstrated a preferred bacteriostatic action.
Global Regularity for 2d Water Waves with
 Surface Tension

We consider the full irrotational water waves system with surface tension and no gravity in dimension two (the capillary waves system), and prove global regularity and modified scattering for suitably small and localized perturbations of a flat interface. An important point of our analysis is to develop a sufficiently robust method, based on energy estimates and dispersive analysis, which allows us to deal with strong singularities arising from time resonances in the applications of the normal form method and nonlinear scattering. As a result, we are able to consider a suitable class of perturbations with finite energy, but no other momentum conditions. Part of our analysis relies on a new treatment of the Dirichlet-Neumann operator in dimension two which is of independent interest. As a consequence, the results in this paper are self-contained.
Point de vue d’un sociologue

La nouvelle sociologie economique a pretendu refuter par l’encastrement de la monnaie dans l’ensemble des relations sociales les schemas de l’economie orthodoxe : pour elle, la monnaie n’est pas un pur objet economique ; elle s’insere dans les dimensions non monetaires de la vie sociale ; son usage est cloisonne au point que ce sont rarement les memes monnaies qui sont utilisees selon les types de transaction. Dans le cas meme ou une seule unite mone­taire s’impose sur un territoire ou dans p.
High‐level gonosomal mosaicism for a pathogenic non‐coding CNV deletion of the lung‐specific FOXF1 enhancer in an unaffected mother of an infant with ACDMPV

Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) results from haploinsufficiency of the mesenchymal transcription factor FOXF1 gene. To date, only one case of an ACDMPV‐causative CNV deletion inherited from a very‐low level somatic mosaic mother has been reported.
Three-Dimensional Comparison of the Maxillary Surfaces through ICP-Type Algorithm: Accuracy Evaluation of CAD/CAM Technologies in Orthognathic Surgery

Purpose: This retrospective study aims to compare the accuracy of two different CAD/CAM systems in orthognathic surgery. The novelty of this work lies in the method of evaluating the accuracy, i.e., using an Iterative Closest Point (ICP) algorithm, which matches a pair of 2D or 3D point clouds with unknown dependencies of the transition from scan s(k) to scan s(k+1). Methods: The study population was composed of ten patients who presented to the Maxillofacial Surgery Department of the University “Sapienza” of Rome for the evaluation and management of skeletal malocclusions. The patients were divided into two groups, depending on the technique used: group 1: splintless group (custom-made cutting guide and plates); group 2: splint group (using a 3D-printed splint). STL files were imported into Geomagic® Control X™ software, which allows for comparison and analysis using an ICP algorithm. The RMSE parameter (3D error) was used to calculate the accuracy. In addition, data were compared in two different patient subgroups. The first subgroup only underwent a monobloc Le Fort I osteotomy (p-value = 0.02), and the second subgroup underwent a Le Fort I osteotomy associated with a segmental osteotomy of the maxilla (p-value = 0.23). Results: Group 1 showed a 3D error of 1.22 mm ± SD 0.456, while group 2 showed a 3D error of 1.63 mm ± SD 0.303. These results have allowed us to compare the accuracy of the two CAD/CAM systems (p-value = 0.09). Conclusions: The ICP algorithm provided a reproducible method of comparison. The splintless method would seem more accurate (p-value = 0.02) in transferring the surgical programming into the operating room when only a Le Fort I osteotomy is to be performed.
Biologically inspired hovering flight stabilization for the flapping wings micro air vehicles

MAV flight stability and control presents some difficult challenges. The low moments of inertia of MAVs make them vulnerable to rapid angular accelerations, a problem further complicated by the fact that aerodynamic damping of angular rates decreases with a reduction in wingspan. Another potential source of instability for MAVs is the relative magnitudes of wind gusts, which are much higher at the MAV scale than for larger aircraft. In fact, wind gusts can typically be equal to or greater than the forward airspeed of the MAV itself. Thus, an average wind gust can immediately affect a dramatic change in the vehicle’s flight path. Other problem occurs with influence of flapping wings on MAV’s body motion. The birds and flying insects, the biological counterpart of mechanical MAVs, can offer some important insights into how one may best be able to overcome these problems. Biological systems, while forceful evidence of the importance of vision in flight, do not, however, in and of themselves warrant a computer-vision based approach to MAV autonomy. Fundamentally, flight stability and control requires measurement of the MAV’s angular orientation. While for larger aircraft this is typically estimated through the integration of the aircraft’s angular rates or accelerations, a vision-based system can directly measure the MAV’s orientation with respect to the ground. The two degrees of freedom critical for stability the bank angle and the pitch angle can be derived from a line corresponding to the horizon as seen from a forward facing camera on the aircraft. Therefore, we have developed a vision-based horizon-detection algorithm that lies at the core of our flight stability system. 1.0 INTRODUCTION
NYIR 9602, NYIR 9605, and NYIR 8329 Lepidopterous Pest-resistant Cabbage Breeding Lines

NYIR 9602, NYIR 9605, and NYIR 8329 are dark-green, glossy-leaved cabbage (Brassica oleracea L. var. capitata) breeding lines that exhibit resistance in the field to larvae of the lepidopterous pests Artogeia rapae L. (imported cabbage worm), Trichoplusia ni (Hubner) (cabbage looper), and Plutella xyloStella L. (diamondback moth). They were released by the New York State Agr. Expt. Station in May 1983 and are available for breeding programs as a source of germplasm or as hybrid parents.
Fungi Classification in Various Growth Stages Using Shortwave Infrared (SWIR) Spectroscopy and Machine Learning

Dark septate endophytes (DSEs) fungi are beneficial to host plants with regard to abiotic stress. Here, we examined the capability of SWIR spectroscopy to classify fungus types and detected the growth stages of DSEs fungi in a timely, non-destructive and time-saving manner. The SWIR spectral data of five DSEs fungi in six growth stages were collected, and three pre-processing methods and sensitivity analysis (SA) variable selection methods were performed using a machine learning model. The results showed that the De-trending + first Derivative (DET_FST) processing spectra combined with the support vector machine (SVM) model yielded the best classification accuracy for fungi classification at different growth stages and growth stage detection on different fungus types. The mean accuracy of generic model for fungi classification and growth stage detection are 0.92 and 0.99 on the calibration set, respectively. Seven important bands, 1164, 1456, 2081, 2272, 2278, 2448 and 2481 nm, were found to be related to the SVM fungi classification. This study provides a rapid and efficient method for the classification of fungi in different growth stages and the detection of fungi growth stage of various types of fungi and could serve as a tool for fungi study.
Lorentz and CPT violations in Finsler spacetime

Standard model with intrinsic Lorentz and CPT violations is proposed in a Finsler geometric framework. We present explicitly Lorentz and CPT--breaking Lagrangians of the matter fields and the gauge fields in locally Minkowski spacetime. The Lorentz invariance violation is found to be originated from the spacetime background deviating from the Minkowski one. Similarly, the CPT violation is determined by the behaviors of the locally Minkowski metric under the parity and time reversal operations. To help understanding phenomenologies, we compare the Finslerian model with the standard--model extension (SME) term by term at a first order approximation.
Mitochondria-Targeted Antioxidant Mitoquinone Maintains Mitochondrial Homeostasis through the Sirt3-Dependent Pathway to Mitigate Oxidative Damage Caused by Renal Ischemia/Reperfusion

Mitochondrial dysfunction is a critical factor contributing to oxidative stress and apoptosis in ischemia-reperfusion (I/R) diseases. Mitoquinone (MitoQ) is a mitochondria-targeted antioxidant whose potent anti-I/R injury capacity has been demonstrated in organs such as the heart and the intestine. In the present study, we explored the role of MitoQ in maintaining mitochondrial homeostasis and attenuating oxidative damage in renal I/R injury. We discovered that the decreased renal function and pathological damage caused by renal I/R injury were significantly ameliorated by MitoQ. MitoQ markedly reversed mitochondrial damage after I/R injury and inhibited renal reactive oxygen species production. In vitro, hypoxia/reoxygenation resulted in increased mitochondrial fission and decreased mitochondrial fusion in human renal tubular epithelial cells (HK-2), which were partially prevented by MitoQ. MitoQ treatment inhibited oxidative stress and reduced apoptosis in HK-2 cells by restoring mitochondrial membrane potential, promoting ATP production, and facilitating mitochondrial fusion. Deeply, renal I/R injury led to a decreased expression of sirtuin-3 (Sirt3), which was recovered by MitoQ. Moreover, the inhibition of Sirt3 partially eliminated the protective effect of MitoQ on mitochondria and increased oxidative damage. Overall, our data demonstrate a mitochondrial protective effect of MitoQ, which raises the possibility of MitoQ as a novel therapy for renal I/R.
In-hospital mortality of atrial fibrillation-associated acute ischemic stroke in the intensive care unit

Background: Although atrial fibrillation (AF)-associated acute ischemic stroke (AIS) is on the rise, is devastating, and life-threatening, there is limited data on the clinical course and in-hospital mortality of patients treated in the intensive care unit (ICU). This study aimed to describe the clinical course and factors associated with in-hospital mortality in AF-associated AIS patients admitted to the ICU. Methods: This study was a retrospective analysis of a prospective nationwide multicenter cohort including non-valvular AF-AIS patients receiving ICU care admitted to 14 stroke centers in South Korea from 2017 to 2020. In-hospital outcomes, including in-hospital mortality and neurological deterioration (ND) have been described. Result: Amongst 2,487 AF-associated AIS patients, 259 (10.4%) were treated in the ICU. In-hospital mortality and ND occurred in 8.5% and 17.0% of the patients, respectively. Higher rates of initial National Institute for Health Stroke Scale scores, symptomatic steno-occlusive lesions, and CHA2DS2-VASc (Congestive Heart Failure, Hypertension, Age ≥75 [Doubled], Diabetes Mellitus, Prior Stroke or Transient Ischemic Attack [Doubled], Vascular Disease, Age 65–74, Female) scores were found in those with in-hospital mortality. The CHA2DS2-VASc score after admission increased the risk of in-hospital mortality (odds ratio [OR], 1.48; 95% confidence in-terval [CI], 1.00–2.18) were associated with in-hospital mortality. Antithrombotic use within 48 hours was related to decreased in-hospital mortality (OR, 0.26; 95% CI, 0.10–0.67). Conclusion: ICU care in AF-associated AIS is common, and the establishment of optimal treatment strategies in the ICU may be needed.
High volume retrograde portography for better discrimination of the portal vein during TIPS procedure

Background: Imaging of the portal vein prior to puncture for TIPS is essential. Purpose: With this study, we examined a modified retrograde portography with regard to the reliable representation of the portal vein. Material and Methods: Prospective evaluation of 65 TIPS interventions with regard to the delimitation of the portal vein and the exact parameters of retrograde portography such as catheter diameter and contrast medium volume per injection. Results: Retrograde portographies with a large-lumen catheter (10 F) and a large contrast medium volume (40 mL) were performed in 35/63 patients with significantly better delineation of the portal vein than when using 5 F catheters with 10 mL contrast medium. Conclusion: The so-called high volume retrograde portography leads to better delimitation of the portal vein during TIPS application.
ANALISIS DAMPAK INFORMASI MASSA PADA NILAI MATA UANG KRIPTO DI INDONESIA

Sejak diperkenalkan kepada dunia di tahun 2008 melalui Bitcoin, mata uang kripto terus bertumbuh dan berkembang diseluruh dunia, tidak terkecuali di Indonesia. Mulai mendapat kepercayaan publik Indonesia melalui gagalnya sistemmoneter Yunani tahun 2013, mata uang kripto nilainya relatif mengalami peningkatan terus menerus tiap tahunnya.Namun demikian, masih banyak bagian masyarakat Indonesia yang terjerumus kerugian karena melakukan investasipada mata uang kripto. Hal ini tidak terlepas dari masih minimnya pengetahuan terhadap beragamnya jenis dankarakteristik masing - masing mata uang kripto. Di tahun 2018 saja, tercatat 1800 jenis mata uang kripto yang beredardi seluruh dunia. Di Indonesia sendiri, melalui Peraturan Badan Pengawas Perdagangan Berjangka Komoditi Nomor 7tahun 2020 terdapat 229 mata uang kripto yang diakui peredarannya. Artikel ini disusun untuk melakukan analisapengaruh informasi massa terhadap kekuatan nilai mata uang kripto di Indonesia menggunakan pemodelan AoA danmenyajikan hasil perspektif yang lebih dalam mengenai fundamental dan pembentukan nilai mata uang kripto. Dariasesmen yang dilakukan menggunakan pemodelan ini menunjukkan bahwa nilai mata uang kripto di Indonesia sangatdipengaruhi oleh informasi massa yang beredar, terutama terkait dengan kebijakan dan dukungan Pemerintah Indonesiaterhadap mata uang kripto. Walaupun demikian, jika menilik volatilitasnya mata uang kripto masih layak untukdikategorikan sebagai instrumen investasi dengan risiko dan potensi profit tinggi. Kami berharap hal ini dapatmembantu menambah pengetahuan masyarakat Indonesia dalam melakukan investasi dan transaksi di bidang mata uangkripto.
Does FDI Promote the Resource Curse in Nigeria?

This study investigated whether Foreign Direct Investment (FDI) supported the resource curse hypothesis in Nigeria. The precise methodological contribution was based on the Vector Error Correction and Granger causality test. The finding showed cointegration among the variables, whereas the speed of adjustment was slightly low. Similarly, natural resource to gross domestic product, FDI, and exchange rate unidirectionally Granger cause economic welfare, whereas bidirectional Granger causality is observed between indicators of natural resources to export, trade, and economic welfare. The results clearly indicate that FDI and natural resource management could improve economic wellbeing, although with a cost of volatility in the exchange rate and utilisation of resources. Thus, the study recommends the urgent need for effective and efficient management of the country’s natural resources to attract foreign direct investment and generate growth that can contribute meaningfully to the welfare of the citizens. Likewise, there is a need to diversify oil resources to other non-natural resources for the economy to stimulate growth and reduce the vulnerability of the economy to external shocks.
Bending and buckling of narrow armchair graphene nanoribbons via STM manipulation

Semiconducting graphene nanoribbons (GNRs) are envisioned to play an important role in future electronics. This requires the GNRs to be placed on a surface where they may become strained. Theory predicts that axial strain, i.e. in-plane bending of the GNR, will cause a change in the band gap of the GNR. This may negatively affect device performance. Using the tip of a scanning tunneling microscope we controllably bent and buckled atomically well-defined narrow armchair GNR and subsequently probed the changes in the local density of states. These experiments show that the band gap of 7-ac-GNR is very robust to in-plane bending and out-of-plane buckling.