Miracle-dz/UniFAR-FTUs huggingface dataset:
Sur certains aspects combinatoires de la théorie de la factorisation non unique

In this paper, building among others on earlier works by U. Krause and C. Zahlten (dealing with the case of cyclic groups), we obtain a new upper bound for the little cross number valid in the general case of arbitrary nite Abelian groups. Given a nite Abelian group, this upper bound appears to depend only on the rank and on the number of distinct prime divisors of the exponent. The main theorem of this paper allows us, among other consequences, to prove that a classical conjecture concerning the cross and little cross numbers of nite Abelian groups holds asymptotically in at least two di erent directions.
Constellation of Methicillin-Resistant Genomic Islands (SCCmec) among Nasal Meticillin-Resistant Staphylococcus aureus Isolates

The apprehensiveness for the knowledge vacuum on existential threat of nasal carriage of pvl+ healthcare-acquired meticillin-resistant Staphylococcus aureus (HA-MRSA) strains amongst subjects in hospitals have led us to pursue a grasp on the constellation of staphylococcal cassette chromosome mec (SCCmec) types and pvl gene among mecA positive MRSA nasal strains. This was accomplished by phenotypic (catalase, coagulase, Microgen staph ID, ORSAB) and genotypic (polymerase chain reaction) biotyping techniques. All the mecA+ strains harboured the SCCmec gene; SCCmec type I prevailed in 43.75% and pvl was found in 42.1% of the isolates. Dual carriage of mecA and pvl genes occurred in six (37.5%, n = 6/16) strains. Overall, majority of the mecA+ MRSA strains documented in this study carried SCCmec elements of the HA genotype with a hint of community-acquired (CA)genotype suggesting a possible coexistence of both HA-MRSA and community-acquiredhealthcare-acquired meticillin-resistant Staphylococcus aureus (CA-MRSA) strains. Consequently, the implementation of methodical surveillance is needed for the evaluation of potential shifts in directionality of (HA-MRSA/CA-MRSA) pvl+ MRSA clones in our hospitals for effective and prudent antimicrobial stewardship.
Effect of strength training programs on front push kick dynamics and kinematics

The general fitness requirements for any combat activity include the flexibility, speed, power, muscular endur-ance, aerobic capacity, muscular strength, agility, balance, coordination, and body composition. In addition, the development of these fitness component should support and not disrupt the development and practice of combat techniques The aim of this study was knowledge about the effects of two programs of strength training on front push kick dynamics and kinematics across different loading conditions (no-load up to 45kg of external load) in professional soldiers. Sixteen professional military personnel were randomized into two groups who performed an 8-week inter-vention program focused either on functional training with a core emphasis (FCE: 26.8 ±10.1 years, 84.2 ±5.4 kg, 181.1 ±6.4 cm) or traditional strength preparation (TSP: 26.8 ±10.1 years, 84.2 ±5.4 kg, 181.1 ±6.4 cm). Both groups performed 5 front push kicks into a force plate across 5 different loading conditions and forces and kinematics were measured. The main differences in the performance of the front push kicks after FCE were that impulse increased by 16% and the impact time of the front kicks were prolonged by 10% whereas after TSP the peak force was increased by 20% and the angular velocity of the knee by 13%. Both training programs promoted changes in the coordination of movement as quantified by principal component analysis. The FCE should be included in training close combat to increase impulse of the front push kick and TSP should be included to increase the peak force and the angular velocity of the knee. The combination of FCE and TSP should be used in training as both could improve kicking performance. © 2021, the Authors. Published by Archives of Budo.
Special Issue: Hospitality and Tourism Industry Survival – Critical Perspective on the Industry Recovery and Adaptation

The hotel industry which supports the tourism industry, plays a crucial part in Malaysia’s economic development. Unfortunately, the outbreak of COVID-19 had brought huge losses towards the tourism industry, both locally and globally in terms of cancellation of all related activities concerning travel and tours, including accommodation. Many researchers have attempted to highlight the effects of COVID-19 pandemic on various sectors, however limited studies have been conducted to address how the hospitality industry mitigate this situation to recover and revive the hospitality industry. Recent reported figures lack of empirical and academic underpinning. This paper aims to fill the gap. It is thus imperative to examine the measures being done by hoteliers in order to overcome this unprecedented scenario. Therefore, this study’s aim is to highlight the measures taken by the hoteliers to overcome the ongoing COVID-19 impact in terms of staff employment, working terms and hotels’ loss of revenue. A qualitative research was deemed applicable to be conducted to investigate this scenario. The data collection was founded based on the Grounded Theory approach and feedback was collected through semi-structured interviews among 15 staffs from the Food and Beverage, Accounts and Front Office departments which were selected using purposive sampling from five different hotels in Penang. The findings showed that all informants have come to the agreement that the measures taken by their hotels to overcome the COVID19 impacts in terms of staff employment and working terms was to lower down the hotel operation cost. This was done by reducing the number of employees and also reducing staffs’ salaries. Apart from that, other measures taken by the hotel management to overcome the pandemic’s impact include increasing room sales, venturing into other services, and extending bookings for events. The findings of this study have some practical implication towards fellow hoteliers as they could adopt similar strategies in their respective hotels in coping with impacts of COVID-19. Journal of Tourism, Hospitality & Culinary Arts (JTHCA) 2021, Vol. 13 (3) pp 284-296 © The Author(s) 2021 Reprints and permission: UiTM Press Submit date: 02nd October 2021 Accept date: 06th December 2021 Publish date: 28th December 2021 Measures taken by the hoteliers to overcome the Covid-19 impact Special Issue: Hospitality and Tourism Industry Survival – Critical Perspective on the Industry Recovery and Adaptation
Status of Digital Agriculture in 18 countries of Europe and Central Asia

: The scope of this paper is to present the business model in the wine industry based on cloud solutions. In the modern world of business, speed and availability are crucial; unfortunately, the nature of the wine industry tends to limit the number of business participants. Managing processes in the wine industry is labor intensive so it is difficult to meet the market demand. Through the analysis of case studies and by comparison with other regions in the wine industry, we obtained enough elements for the formulation of our model. The model presented in this paper is oriented towards the domestic wine industry and is in line with current technical and technological capacities. Most of the subjects in the wine industry are located in rural areas of the Republic of Serbia, and has a relatively limited access to certain resources. There is a strong Internet infrastructure in big cities, which is unfortunately not the case with rural regions. The use of modern IT solutions is also a problematic item because participants in the wine industry, despite a solid education, have difficulty recognizing the benefits
A Research about Collaborative Knowledge Building through Interaction Analysis

Computer-Supported Cooperative Learning studies the process of collaborative knowledge building and how to design tools to support this process. Share, argumentation, negotiation, creation, reflection and affective communication are the foundation for realizing collaborative knowledge building. Interaction analysis is the main method, by which the essence and the rules of collaborative knowledge building in CSCL can be grasped. The method of interaction analysis is mainly used in four different aspects: the change of group or individual knowledge structure, the forming of group members' relationship network, the interaction structure, the degree of collaborative knowledge building. Finally, the paper analyzed a case in which interaction analysis was applied to evaluate the degree of collaborative knowledge building.
An Adaptive Kalman Filtering Algorithm Applied to Real-time Computation of Rocket External Ballistics

Kalman filters used in rocket ballistics' real-time computation are mainly based on observing model with position and velocity, which requires to convert the ranging and bearings data to position first in view of external ballistic metrical data. Therefore such algorithms can't take full advantage of range,bearings,and velocity measurement data in exterior trajectory measurement. In view of this,an adaptive Kalman filtering algorithm was proposed,which was based on the Taylor expressions and established observing model in station horizontal coordinate system. Then some real metrical data was used to test and verify it. The results indicate that this algorithm can filter noise effectively.
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation

Metrics for evaluating generative models aim to measure the discrepancy between real and generated images. The often-used Frechet Inception Distance (FID) metric, for example, extracts"high-level"features using a deep network from the two sets. However, we find that the differences in"low-level"preprocessing, specifically image resizing and compression, can induce large variations and have unforeseen consequences. For instance, when resizing an image, e.g., with a bilinear or bicubic kernel, signal processing principles mandate adjusting prefilter width depending on the downsampling factor, to antialias to the appropriate bandwidth. However, commonly-used implementations use a fixed-width prefilter, resulting in aliasing artifacts. Such aliasing leads to corruptions in the feature extraction downstream. Next, lossy compression, such as JPEG, is commonly used to reduce the file size of an image. Although designed to minimally degrade the perceptual quality of an image, the operation also produces variations downstream. Furthermore, we show that if compression is used on real training images, FID can actually improve if the generated images are also subsequently compressed. This paper shows that choices in low-level image processing have been an underappreciated aspect of generative modeling. We identify and characterize variations in generative modeling development pipelines, provide recommendations based on signal processing principles, and release a reference implementation to facilitate future comparisons.
Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models

Correlation Clustering is an important clustering problem with many applications. We study the reconstruction version of this problem in which one is seeking to reconstruct a latent clustering that has been corrupted by random noise and adversarial modifications. Concerning the latter, there is a standard"post-adversarial"model in the literature, in which adversarial modifications come after the noise. Here, we introduce and analyse a"pre-adversarial"model in which adversarial modifications come before the noise. Given an input coming from such a semi-adversarial generative model, the goal is to reconstruct almost perfectly and with high probability the latent clustering. We focus on the case where the hidden clusters have nearly equal size and show the following. In the pre-adversarial setting, spectral algorithms are optimal, in the sense that they reconstruct all the way to the information-theoretic threshold beyond which no reconstruction is possible. This is in contrast to the post-adversarial setting, in which their ability to restore the hidden clusters stops before the threshold, but the gap is optimally filled by SDP-based algorithms. These results highlight a heretofore unknown robustness of spectral algorithms, showing them less brittle than previously thought.
Fault diagnosis of hybrid systems based on the evolutionary particle filter

It is necessary to estimate hybrid states and parameter simultaneously for the fault diagnosis of the hybrid system. A solution to cope with hybrid state and (parameter) estimations of hybrid system with time-varying (parameters) is proposed. Based on modeling the hybrid system with hybrid automaton, an approach is presented to estimate hybrid states with particle filter. The evolutionary particle filter is used to estimate the time-varying (parameter.) An application frame for the fault diagnosis of the hybrid system is constructed, in which two type (estimators) are (combined) to complete the hybrid states and parameter estimations on-line. Simulation results (demonstrate) the feasibility of the proposed approach.
Using Hyperbolic Geometry for FG-NET over Distantly Supervised data

Fine-Grained Named Entity Typing (FG-NET) classiﬁes an entity mention into a ﬁne range of entity types. A large number of entity types make it difﬁcult to manually label the training data, thus distant supervision is used to automatically acquire the training data. Distant supervision incurs a lot of training noise which hinders the performance improvement of the FG-NET systems. In this paper, we propose to use hyperbolic geometry for FG-NET with the hope that it can help overcoming the noise incurred by distant supervision.
Innate Immune System Response to Burn Damage—Focus on Cytokine Alteration

In the literature, burns are understood as traumatic events accompanied by increased morbidity and mortality among affected patients. Their characteristic feature is the formation of swelling and redness at the site of the burn, which indicates the development of inflammation. This reaction is not only important in the healing process of wounds but is also responsible for stimulating the patient’s innate immune system. As a result of the loss of the protective ability of the epidermis, microbes which include bacteria, fungi, and viruses have easier access to the system, which can result in infections. However, the patient is still able to overcome the infections that occur through a cascade of cytokines and growth factors stimulated by inflammation. Long-term inflammation also has negative consequences for the body, which may result in multi-organ failure or lead to fibrosis and scarring of the skin. The innate immune response to burns is not only immediate, but also severe and prolonged, and some people with burn shock may also experience immunosuppression accompanied by an increased susceptibility to fatal infections. This immunosuppression includes apoptosis-induced lymphopenia, decreased interleukin 2 (IL-2) secretion, neutrophil storm, impaired phagocytosis, and decreased monocyte human leukocyte antigen-DR. This is why it is important to understand how the immune system works in people with burns and during infections of wounds by microorganisms. The aim of this study was to characterize the molecular pathways of cell signaling of the immune system of people affected by burns, taking into account the role of microbial infections.
Feasibility of Recombinant Human TSH as a Preparation for Radioiodine Therapy in Patients with Distant Metastases from Papillary Thyroid Cancer: Comparison of Long-Term Survival Outcomes with Thyroid Hormone Withdrawal

Background: this study was designed to compare the long-term survival outcomes of patients prepared for radioiodine (RAI) therapy using either thyroid hormone withdrawal (THW) or recombinant human thyrotropin (rhTSH) stimulation, by specifically focusing on cases with distant metastases from papillary thyroid cancer (PTC). Methods: A retrospective analysis was performed on 88 patients with distant metastases from PTC. Fifty-one and thirty-seven patients were prepared for RAI treatment by either THW or rhTSH stimulation, respectively. The primary endpoints were progression-free survival (PFS) and disease-specific survival (DSS). Results: The 10-year DSS rates of patients prepared for RAI therapy using either THW or rhTSH stimulation were 62.2% and 73.3%, respectively. Using multivariate analysis, RAI-avid metastases (p = 0.025) and preparation with rhTSH (p = 0.041) were identified as independent prognostic factors for PFS. Notably, PFS in the group of patients with RAI-avid metastases and preparation with rhTSH was significantly better than that in the other groups (p = 0.025). Conclusions: Preparation for RAI therapy using rhTSH stimulation is not inferior to THW preparation in terms of long-term survival outcomes experienced by patients with PTC and distant metastasis. Patients with RAI-avid metastases and preparation with rhTSH had the most favorable PFS.
Molecular Landscape of the Coagulome of Oral Squamous Cell Carcinoma

Simple Summary Cancer is associated with a wide spectrum of hemostatic complications that range from thrombotic events to hemorrhage. The tumor coagulomes, i.e., the essential actors that locally regulate coagulation and fibrinolysis, play a key role in these complications. They might also play a regulatory role in various cell types of the tumor microenvironment. Here, we explored the coagulome of Oral Squamous Cell Carcinoma (OSCC) across tumor types, between OSCC tumors and within individual tumors. The coagulome of OSCC is characterized by a high expression of antipodal activators of coagulation and fibrinolysis, and subpopulations of pro-coagulant and pro-fibrinolytic cancer cells coexist within individual tumors. Importantly, we noted that dendritic cells within OSCC with a procoagulant profile express high levels of key immune checkpoint molecules. Further studies examining a possible negative modulation of the tumor’s adaptive immune response by the coagulation process are warranted. Abstract Background: Hemostatic complications, ranging from thromboembolism to bleeding, are a significant source of morbidity and mortality in cancer patients. The tumor coagulome represents the multiple genes and proteins that locally contribute to the equilibrium between coagulation and fibrinolysis. We aimed to study the coagulome of Oral Squamous Cell Carcinoma (OSCC) and examine its link to the tumor microenvironment (TME). Methods: We used data from bulk tumor DNA/RNA-seq (The Cancer Genome Atlas), single-cell RNA-seq data and OSCC cells in culture. Results: Among all tumor types, OSCC was identified as the tumor with the highest mRNA expression levels of F3 (Tissue Factor, TF) and PLAU (urokinase type-plasminogen activator, uPA). Great inter- and intra-tumor heterogeneity were observed. Single-cell analyses showed the coexistence of subpopulations of pro-coagulant and pro-fibrinolytic cancer cells within individual tumors. Interestingly, OSCC with high F3 expressed higher levels of the key immune checkpoint molecules CD274/PD-L1, PDCD1LG2/PD-L2 and CD80, especially in tumor dendritic cells. In vitro studies confirmed the particularity of the OSCC coagulome and suggested that thrombin exerts indirect effects on OSCC cells. Conclusions: OSCC presents a specific coagulome. Further studies examining a possible negative modulation of the tumor’s adaptive immune response by the coagulation process are warranted.
Glucose addition promotes C fixation and bacteria diversity in C-poor soils, improves root morphology, and enhances key N metabolism in apple roots

The interaction between plant, soil and microorganism plays a crucial role in sustainable development of terrestrial ecosystem function and diversity. However, little information is known about how plant growth, soil organic carbon (C) fractions and microorganism respond to exogenous C addition in soils with low organic C content. Three levels of 13C-glucose (equal to 0, 100% and 500% of initial microbial biomass C) were added to non-sterilized (corresponding to treatment abbreviation of CK, Glu-1, Glu-2, respectively) and sterilized soils (corresponding to treatment abbreviation of SS, SS+Glu-1, SS+Glu-2, respectively) planted with apple rootstock (Malus baccata (L.) Borkh. ) seedings. The objectives of this study were to analyse the dynamics of soil organic C (SOC) fractions and soil bacterial community diversity with glucose levels and soil sterilization, and to explore the morphology of roots and nitrogen (N) metabolism by plant after glucose addition to sterilized/non-sterilized soils. Results showed that the contents of labile organic C fractions were significantly varied (P<0.05) with the levels of glucose addition and soil sterilization. SS+Glu-2 and Glu-2 treatments increased the contents of labile organic C fractions, on average, by 48.47% and 35.33% compared with no glucose addition, respectively. About 21.42% and 16.17% of glucose-C remained in sterilized and non-sterilized soils, respectively at the end of experiment (day 45). Regardless of soil sterilized or not, the glucose addition increased the richness and diversity indices of soil bacterial community compared with no-glucose addition. The glucose addition optimized root zone conditions, and enhanced root vitality, morphology and biomass. Both SS+Glu-2 and Glu-2 treatments significantly enhanced (P<0.05) the contents of nitrate (NO3—N) and nitrite (NO2—N), but sharply decreased (P<0.05) the ammonium (NH4+-N) content compared with no glucose addition. Also, these two treatments significantly (P<0.05) increased the enzymic activities and gene transcript levels involved in root N metabolism, which demonstrated that the high level of glucose addition promoted N assimilation and transformation into free amino acids by root. Overall, the addition of exogenous C to not only promotes its fixation and bacterial community diversity in C-poor soils, but also improves root morphology and N absorption by plant.
Effects of Formyl Peptide Receptor Agonists Ac9-12 and WKYMV in In Vivo and In Vitro Acute Inflammatory Experimental Models

Formyl peptide receptors (Fprs) are a G-protein-coupled receptor family mainly expressed on leukocytes. The activation of Fpr1 and Fpr2 triggers a cascade of signaling events, leading to leukocyte migration, cytokine release, and increased phagocytosis. In this study, we evaluate the effects of the Fpr1 and Fpr2 agonists Ac9-12 and WKYMV, respectively, in carrageenan-induced acute peritonitis and LPS-stimulated macrophages. Peritonitis was induced in male C57BL/6 mice through the intraperitoneal injection of 1 mL of 3% carrageenan solution or saline (control). Pre-treatments with Ac9-12 and WKYMV reduced leukocyte influx to the peritoneal cavity, particularly neutrophils and monocytes, and the release of IL-1β. The addition of the Fpr2 antagonist WRW4 reversed only the anti-inflammatory actions of WKYMV. In vitro, the administration of Boc2 and WRW4 reversed the effects of Ac9-12 and WKYMV, respectively, in the production of IL-6 by LPS-stimulated macrophages. These biological effects of peptides were differently regulated by ERK and p38 signaling pathways. Lipidomic analysis evidenced that Ac9-12 and WKYMV altered the intracellular lipid profile of LPS-stimulated macrophages, revealing an increased concentration of several glycerophospholipids, suggesting regulation of inflammatory pathways triggered by LPS. Overall, our data indicate the therapeutic potential of Ac9-12 and WKYMV via Fpr1 or Fpr2-activation in the inflammatory response and macrophage activation.