Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and validation of a novel diagnostic model for assessing lung cancer metastasis in a Chinese population based on multicenter real-world data

due to the limitation of the CT scan, it is still an unmet medical need in practice. In the present study, we attempted to develop diagnostic models based on biomarkers and clinical parameters for assessing lung cancer metastasis. Methods: This study consisted of 799 patients with pulmonary lesions from three regional centers in China. It included 274 benign lesions patients, 326 primary lung cancer patients without metastasis, and 199 advanced lung cancer patients with lymph node or organ metastasis. The patients were divided into nodules group and masses group according to tumor size. Results: Four nomogram models based on patient characteristics and tumor biomarkers were developed and evaluated for patients with nodules and masses, respectively. In patients with pulmonary nodules, the AUC to identify metastatic lung cancer from unidenti ﬁ ed nodules (including benign nodules and lung cancer, model 1) reached 0.859 (0.827 – 0.887, 95% CI). Model 2 was used to predict metastasis in patients with lung cancer with AUC of 0.838 (0.795 – 0.876, 95% CI). In patients with pulmonary masses, the AUC to identify metastatic lung cancer from unidenti ﬁ ed masses (model 3) reached 0.773 (0.717 – 0.823, 95% CI). Model 4 was used to predict metastasis in patients with lung cancer and AUC reached 0.731 (0.771 – 0.793, 95% CI). Decision curve analysis corroborated good clinical applicability of the nomograms in predicting metastasis. Conclusion: All new models demonstrated promising discrimination, allowing for estimating the risk of lymph node or organ metastasis of lung cancer. Such integration of blood biomarker testing with CT imaging results will be an ef ﬁ cient and effective approach to bene ﬁ t the accurate staging and treatment of lung cancer.
Nonverbal behaviour as driver of reciprocity in a hospitality encounter: A video elicitation study

To investigate the components of reciprocity in guest-employee dyadic nonverbal behaviour, we conducted four video-elicited focus group discussions with 12 hotel guests and 12 hotel employees. Through the six-step inductive thematic analysis, we identified three components in which the construction of reciprocity was manifested: mutual recognition, meaning exchange, and trust building. The study contributes to the extant literature by understanding reciprocity from the perspective of nonverbal cues exchange, and adds to the growing body of knowledge on consumer experience in hospitality management.
Characterization of grain boundaries in CdTe polycrystalline films

CdTe polycrystalline films with the average size of grains within the range 10…360  m were grown on sapphire substrates by using the modified close-spaced sublimation technique. Transverse (across the film) and lateral (along the film’s surface) conductivity as a function of bias voltage and temperature were measured using appropriate arrangement of contacts. The transverse conductivity exhibits ohmic behavior, whereas the lateral transport of carriers is dominated by potential barriers at the grain boundaries. The carrier concentration in the grains and the potential barrier height have been estimated. The inhomogeneous distribution of deep defects through the grains was found from the photoluminescence
Topic Modeling and Sentiment Analysis of Martial Arts Learning Textual Feedback on YouTube

Learning through videos preferably with the use of YouTube indicates a shift in gaining knowledge where the role of visual learning is essential to a new generation of learners. Studies confirmed that YouTube was able to maintain the interest and learning accomplishments of the students. In this study, YouTube textual feedback dataset containing keywords related to the learning of martial arts is examined using topic modeling and sentiment analysis. Topic modeling using Latent Dirichlet Allocation (LDA) was implemented to identify the topics within the first corpus, and then the NLTK library were used to determine the sentiment classification of the corpus through Jupyter Notebook. Sentiment analysis indicated that generally the discussion on martial arts is positive, more so when the viewers are signifying their intention to learn and reacting to the impressive execution of the martial arts. Topic modeling indicated that the numerous topics of discussion on martial arts are closely related to learning, arts, and humanities. Results can help educators, martial arts trainers, developers of YouTube content, and educational institutions improve resources or trainings that might help them achieve educational or physical performance targets for learners.
MILESTONES IN NEPHROLOGY Urea Excretion in White Rats and Kangaroo Rats as Influenced by Excitement and by Diet 1

in the cage and fastened with adhesive tape. The inser- tion of the needle is facilitated if the animal is slightly warmed and if the tail has been immersed in water at 45°C. A hypodermic needle, (short bevel, gauge 26 with the hub removed), is connected to the infusion pump with polyethylene tubing and is then inserted into one of the lateral tail veins about one-third from the tip of the tail. The needle is fastened to the tail with adhesive tape. The pump, which was built in the laboratory, can be used for injection rates varying from 3 ml/hr. to less than 0. I ml/hr. A priming dose is given at a rate of about 3 ml/hr. to bring the plasma concentration up to the desired level and then a maintenance dose is given at a lower rate (0.5– I .2 ml/hr.). The animal in the cage is placed over a silicone-treated petri dish in a thermoregulated box at 30°C, and kept under constant observation so that urine samples can be collected and measured as soon as they appear. The method for blood sampling varied in the different experiments. In some experiments a small blood sample (0.2 ml) was taken by venous punc- ture from a tail vein for urea determination prior to the infusion. In other experiments one or two blood samples were collected during the infusion by
Bioinformatics Analysis and RNA-Sequencing of SCAMP3 Expression and Correlated Gene Regulation in Hepatocellular Carcinoma

Background: Secretory Carrier Membrane Proteins 3 (SCAMP3) is a transmembrane protein that affects intracellular traf ﬁ cking, protein sorting and vesicle formation. Overexpression of SCAMP3 correlates with poorly differentiated hepatocellular carcinoma (HCC). However, the expression and corresponding gene regulation of SCAMP3 in HCC remain unclear. Methods: Bioinformatics analyses of clinical parameters and survival data were conducted to predict the prognostic value of SCAMP3 in HCC. RNA sequencing and real-time PCR were conducted to con ﬁ rm the SCAMP3 expression in HCC tissue. Expression was analyzed using Oncomine TM and UALCAN, while SCAMP3 alterations and survival analysis were identi ﬁ ed by cBioPortal. Differential gene expression with SCAMP3 was analyzed by LinkedOmics and GEPIA. The target networks of enzymes and co-transcriptional factors were identi ﬁ ed using Gene enrichment analysis. Expression of SCAMP3 in HCC tissue was detected by RNA-sequencing and Western-blotting. Results: Based on bioinformatics analysis and detection of mRNA expression, SCAMP3 was over-expressed in numerous tumors, especially in HCC. SCAMP3 level was positively correlated with disease stages and tumor grades and negatively correlated with patient survival. Furthermore, functional network analysis indicated that SCAMP3 regulated metabolic process and DNA replication through oxidative phosphorylation and chromatin remo-deling or Ribosome. SCAMP3 regulated a number of gene expressions including PPAP2B, SNRK, ARID4A, PRCC, VPS72 via protein binding and proteasome, which may affect cell adhesion, proliferation, transcription, cell cycle and metabolism. Further, Real-time PCR and Western-blotting showed that the SCAMP3 level was increased in HCC tissue. Conclusion: The present data analysis ef ﬁ ciently reveals information about SCAMP3 expression and correlated function in HCC, laying a foundation for further study of SCAMP3 in the tumor.
Obesity and Metabolic Syndrome among Adult Lymphoma Survivors

Background: Metabolic dysfunction, including the metabolic syndrome (MetSyn) and insuline resistance, is a long-term complication of curative treatment for many cancer patients including lymphoma survivors. In these patients, prognosis and quality of life can be adversely influenced by obesity, physical inactivity and metabolic dysfunction so, preventive measures, including dietary counseling and tailored exercise should be initiated early in the course of survivorship. Patients and Methods: The study was conducted analyzing, in relation to the diagnosis of Diffuse Large B-cell Lymphoma (DLBCL), Hodgkin Lymphoma (HL) and therapy, the presence of MetSyn, obesity, sarcopenia, and type IIA and IIB dyslipidemia. We prospectivelly enrolled 111 lymphoma survivors aged between 24 and 82 years in continuous remission of lymphoma for at least 3 years within the “CCM2014” project supported by the Italian Ministry of Health. Each of them underwent an anthropometric and plicometric evaluation and measurement of metabolic and inflammation parameters (glycaemia, total cholesterol and HDL, triglycerides, C-reactive protein and β-2 microglobulin). Results: Our results showed a lower risk of developing MetSyn in HL patients than in DLBCL ( p <0.001), while steroid use during therapy significantly increased the risk of MetSyn and sarcopenia in DLBCL patients. Concerning the dyslipidemia IIa, multivariate analysis showed that the HL group had asignificantly lower risk than DLBCL of developing these conditions. Dyslipidemia IIb showed instead of being related to smoking. Particularly, in the univariate analysis both ex-smokers and smokers have a significantly higher risk of developing this metabolic disorder. Anova test, showed in the DLBCL group a statistically significant correlation concerning the waist circumference in both women and men with MetSyn no MetSyn with p >0.05 and p =0.005 respectively; statistically significant association was also observed in the percentage of lean mass; DLBCL men in the group with MetSyn had a significant sarcopenia compared to those without MetSyn (p = 0.04). Conclusion: These data suggest that DLBCL patients have a higher risk of developing MetSyn and sarcopenia compared to HL, most likely as a result of taking steroids, so an early nutritional intervention associated with adequate physical activity could reduce the risk of onset of both complications in lymphoma survivors. These conclusions had never been previously reported in an Italian or European population of lymphoma survivors, remarking that, also in Countries in which the Mediterranean diet is diffused, these kinds of complications could occur.
H AND S COUT : A N EW S YSTEM TO R ECORD F OOTBALL D ATA

Background: Since the early 1900s, researchers have been making a great effort to seek more objective ways to analyze sport, especially football matches. Objectives: We aimed to describe HandScout software development, a quantitative tool projected to record football data based on predefined guidelines. Methods and Results: The HandScout is designed according to the dynamical self-organizing system and is composed of 99 individual actions, divided into nine categories: Action map, goal map, offensive organization, offensive transition, defensive organization, defensive transition, set-pieces, passes, and goals against and scored goals. This new information-gathering instrument can assist in the assessment of a wide range of characteristics considering the great complexity of the game and thus provide data about the behavior of players on the pitch. Conclusion: The HandScout is a user-friendly system that provides extensive data information of the team or the opponent. Thus, the HandScout software can provide information to coaches to adapt their weekly training sessions and provide relevant information about the football dynamics.
Text-Mining Based Incident Identification

Sustainability topics have become increasingly popular in recent years due to a growing awareness in society regarding sustainability as well because of a stronger awareness about the long-term consequences of business activities. Companies seem to care more about their corporate social responsibility, possibly due to a redefinition of sustainability, which may have induced more awareness. Nowadays, sustainability has a broader definition and concerns social and economic matters in addition to environmental ones. Sustainability issues can pose a risk for corporate success and, within companies, risk management departments are responsible for the identification and assessment of potential sustainability risks, which is not trivial a task. This thesis focuses on solving the problem of the identification of environmental sustainability incidents within text documents. The widespread availability of the World Wide Web has led to enormous growth in accessible and reported information all around the world and such possible relevant information could be published on online news portals, blogs, and social media streams. The challenge is to find and extract the important information from this enormous amount of data that increases every day. In order to automate the detection of sustainability incidents, a data mining approach was formulated. To enable the detection of environmental sustainability incidents, it was necessary to develop a formal definition of such incidents and map this definition to a natural language processing approach, which is suitable for an event identification within text. The system is developed by using the state of the art in natural language processing technologies. It gathers text sources from blog sites that publish in the environmental domain. The system works on a rule-based approach that identifies the presence of an environmental context and its possible relation to a company on a sentence level. Further, dependencies between words are examined and deep learning solutions are applied for sentiment classifications. Several set-ups are evaluated and the results are presented in this work. Finally, the thesis also concludes with a critical review of the ethical concerns in data mining and addresses credibility issues for online sources.
Coordinately Influences Tumor-Stroma Interplay Reciprocal Metabolic Reprogramming through Lactate Shuttle

Cancer-associated ﬁ broblasts (CAF) engage in tumor progression by promoting the ability of cancer cells to undergo epithelial – mesenchymal transition (EMT), and also by enhancing stem cells traits and metastatic dissemination. Here we show that the reciprocal interplay between CAFs and prostate cancer cells goes beyond the engagement of EMT to include mutual metabolic reprogramming. Gene expression analysis of CAFs cultured ex vivo or human prostate ﬁ broblasts obtained from benign prostate hyperplasia revealed that CAFs undergo Warburg metabolism and mitochondrial oxidative stress. This metabolic reprogramming toward a Warburg phenotype occurred as a result of contact with prostate cancer cells. Intercellular contact activated the stromal ﬁ broblasts, triggering increased expression of glucose transporter GLUT1, lactate production, and extrusion of lactate by de novo expressed monocarboxylate transporter-4 (MCT4). Conversely, prostate cancer cells, upon contact withCAFs,were reprogrammed toward aerobic metabolism,with adecrease inGLUT1expression andan increaseinlactateuploadviathelactatetransporterMCT1.Metabolicreprogrammingofbothstromalandcancer cells was under strict control of the hypoxia-inducible factor 1 (HIF1), which drove redox- and SIRT3-dependent stabilization of HIF1 in normoxic conditions. Prostate cancer cells gradually became independent of glucose consumption, while developing a dependence on lactate upload to drive anabolic pathways and thereby cell growth. In agreement, pharmacologic inhibition of MCT1-mediated lactate upload dramatically affected prostate cancer cell survival and tumor outgrowth. Hence, cancer cells allocate Warburg metabolism to their corrupted CAFs,exploitingtheirbyproductstogrow
A method of reconstructing the spatial measurement network by mobile measurement transmitter for shipbuilding

The workshop Measurement Position System (wMPS) is a distributed measurement system which is suitable for the large-scale metrology. However, there are some inevitable measurement problems in the shipbuilding industry, such as the restriction by obstacles and limited measurement range. To deal with these factors, this paper presents a method of reconstructing the spatial measurement network by mobile transmitter. A high-precision coordinate control network with more than six target points is established. The mobile measuring transmitter can be added into the measurement network using this coordinate control network with the spatial resection method. This method reconstructs the measurement network and broadens the measurement scope efficiently. To verify this method, two comparison experiments are designed with the laser tracker as the reference. The results demonstrate that the accuracy of point-to-point length is better than 0.4mm and the accuracy of coordinate measurement is better than 0.6mm.
SPIDER: Fault resilient SDN pipeline with recovery delay guarantees

—When dealing with node or link failures in Software Defined Networking (SDN), the network capability to establish an alternative path depends on controller reachability and on the round trip times (RTTs) between controller and involved switches. Moreover, current SDN data plane abstractions for failure detection (e.g. OpenFlow " Fast-failover ") do not allow programmers to tweak switches' detection mechanism, thus leaving SDN operators still relying on proprietary management interfaces (when available) to achieve guaranteed detection and recovery delays. We propose SPIDER, an OpenFlow-like pipeline design that provides i) a detection mechanism based on switches' periodic link probing and ii) fast reroute of traffic flows even in case of distant failures, regardless of controller availability. SPIDER can be implemented using stateful data plane abstractions such as OpenState or Open vSwitch, and it offers guaranteed short (i.e. ms) failure detection and recovery delays, with a configurable trade off between overhead and failover responsiveness. We present here the SPIDER pipeline design, behavioral model, and analysis on flow tables' memory impact. We also implemented and experimentally validated SPIDER using OpenState (an OpenFlow 1.3 extension for stateful packet processing), showing numerical results on its performance in terms of recovery latency and packet losses. I. INTRODUCTION The longly anticipated paradigm shift of Software Defined Networking (SDN) is radically transforming the network architecture [1]. SDN technologies provide programmable data planes that can be configured from a remote controller platform. This control and data planes separation creates new opportunities to implement much more efficient traffic engineering policies than classical distributed protocols, since the (logically) centralized controller can take decisions on routing optimization exploiting a global view of the network and a flow level programmatic interface at data plane. Fault resilience mechanisms are among the most crucial traffic engineering instruments in operator networks since they insure quick reaction to connectivity failures with traffic rerouting. So far, traffic engineering applications for SDN, and failure recovery solutions in particular, have received relatively little attention from the research community and networking industry which has focused mainly on other important areas related to security, load balancing, network slicing and service chaining. Not surprisingly, while SDN is becoming widely used in data centers where these applications are crucial, its adoption in operator networks is still rather limited. The support in current SDN implementations of features for failure recovery is currently rather weak and traditional technologies,
Trichoderma volatiles effecting Arabidopsis

Trichoderma species are present in many ecosystems and some strains have the ability to reduce the severity of plant diseases by activating various defense pathways via speciﬁc biologically active signaling molecules. Hence we investigated the effects of low molecular weight volatile compounds of Trichoderma asperellum IsmT5 on Arabidopsis thaliana . During co-cultivation of T. asperellum IsmT5 without physical contact to A. thaliana we observed smaller but vital and robust plants. The exposed plants exhibit increased trichome numbers, accumulation of defense-related compounds such as H 2 O 2 , anthocyanin, camalexin, and increased expression of defense-related genes. We conclude that A. thaliana perceives the Trichoderma volatiles as stress compounds and subsequently initiates multilayered adaptations including activation of signaling cascades to withstand this environmental inﬂuence. The prominent headspace volatile of T. asperellum IsmT5 was identiﬁed to be 6-pentyl- α -pyrone (6PP), which was solely applied to A. thaliana to verify the growth and defense reactions. Most noticeable is that A. thaliana preexposed to 6PP showed signiﬁcantly reduced symptoms when challenged with Botrytis cinerea and Alternaria brassicicola , indicating that defense-activated plants subsequently became more resistant to pathogen attack. Together, these results support that products that are based on Trichoderma volatiles have the potential being a useful biocontrol agent in agriculture.
Predictors of Glomerular Filtration Rate Decline in Type 2 Diabetic Patients: Two-Years Follow-up Study

Background: Diabetic nephropathy is one of the leading causes of chronic renal failure. The aim was to investigate the importance of specific biomarkers and clinical features in prediction of glomerular filtration rate (GFR) decline in type 2 diabetic patients during two-year follow-up. Methods: Patients (n = 113) were divided into the following groups: I-41 with GFR reduction >20% (in relation to the reference value for given sex and age) and urinary albumin excretion (UAE) >30 mg/day; II- 34 with GFR reduction ≤20% and UAE >30 mg/day, and III-38 with GFR reduction ≤20% and UAE ≤30 mg/day. The control group included 30 healthy subjects. We determined albuminuria (sandwich-immunometric method); proteinuria (pirogalol red); C reactive protein, apolipoprotein A-I and B, lipoprotein (a), cystatin C (immunoturbidimetry); homocysteine (FPIA); fibrinogen (Clauss); oxidized LDL (ELISA); lipid parameters, creatinine, urea and uric acid (standard biochemical methods). GFR was estimated via creatinine clearance. We also evaluated the presence of chronic complications of diabetes. Results: GFR reduction >10% compared to baseline values was more frequent in group I (53.13%), than in group II (36.67%) and III (23.14%). Regression analysis revealed that proteinuria >1 g/day increases the risk of progression of renal dysfunction fourfold, homocysteinemia >10 µmol/L by 3.42, systolic blood pressure (SBP) >130 mmHg by 5.08, hemoglobin <130 g/L by 3.05 and the presence of macrovascular complications (MC) by 6.25 times. Conclusion: Homocysteinemia >10 µmol/L, presence of macrovascular complications, hemoglobin <130 g/L, and SBP >130 mmHg were independent predictors of progression of renal dysfunction in patients with DM type 2.