Miracle-dz/UniFAR-FTUs huggingface dataset:
The Emerging Role of c-Met in Carcinogenesis and Clinical Implications as a Possible Therapeutic Target

Background c-MET is a receptor tyrosine kinase receptor (RTK) for the hepatocyte growth factor (HGF). The binding of HGF to c-MET regulates several cellular functions: differentiation, proliferation, epithelial cell motility, angiogenesis, and epithelial-mesenchymal transition (EMT). Moreover, it is known to be involved in carcinogenesis. Comprehension of HGF-c-MET signaling pathway might have important clinical consequences allowing to predict prognosis, response to treatment, and survival rates based on its expression and dysregulation. Discussion. c-MET represents a useful molecular target for novel engineered drugs. Several clinical trials are underway for various solid tumors and the development of new specific monoclonal antibodies depends on the recent knowledge about the definite c-MET role in each different malignance. Recent clinical trials based on c-MET molecular targets result in good safety profile and represent a promising therapeutic strategy for solid cancers, in monotherapy or in combination with other target drugs. Conclusion The list of cell surface receptors crosslinking with the c-MET signaling is constantly growing, highlighting the importance of this pathway for personalized target therapy. Research on the combination of c-MET inhibitors with other drugs will hopefully lead to discovery of new effective treatment options.
Feasibility of Wearable-Based Remote Monitoring in Patients During Intensive Treatment for Aggressive Hematologic Malignancies

PURPOSE Intensive treatment protocols for aggressive hematologic malignancies harbor a high risk of serious clinical complications, such as infections. Current techniques of monitoring vital signs to detect such complications are cumbersome and often fail to diagnose them early. Continuous monitoring of vital signs and physical activity by means of an upper arm medical wearable allowing 24/7 streaming of such parameters may be a promising alternative. METHODS This single-arm, single-center observational trial evaluated symptom-related patient-reported outcomes and feasibility of a wearable-based remote patient monitoring. All wearable data were reviewed retrospectively and were not available to the patient or clinical staff. A total of 79 patients (54 inpatients and 25 outpatients) participated and received standard-of-care treatment for a hematologic malignancy. In addition, the wearable was continuously worn and self-managed by the patient to record multiple parameters such as heart rate, oxygen saturation, and physical activity. RESULTS Fifty-one patients (94.4%) in the inpatient cohort and 16 (64.0%) in the outpatient cohort reported gastrointestinal symptoms (diarrhea, nausea, and emesis), pain, dyspnea, or shivering in at least one visit. With the wearable, vital signs and physical activity were recorded for a total of 1,304.8 days. Recordings accounted for 78.0% (63.0-88.5; median [interquartile range]) of the potential recording time for the inpatient cohort and 84.6% (76.3-90.2) for the outpatient cohort. Adherence to the wearable was comparable in both cohorts, but decreased moderately over time during the trial. CONCLUSION A high adherence to the wearable was observed in patients on intensive treatment protocols for a hematologic malignancy who experience high symptom burden. Remote patient monitoring of vital signs and physical activity was demonstrated to be feasible and of primarily sufficient quality. Wearables enable remote therapy monitoring of patients with hematologic malignancies with high adherence.
Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood Prediction

High-resolution nowcasting flood prediction using streaming rainfall big data is desired for soft countermeasures against pluvial floods. Although an integrated flood analysis model consisting of a diffusion-wave equation, momentum equations and so on can simulate flood processes accurately, the model is unsuitable for nowcasting flood prediction due to its high computational cost. To realize accurate and computationally inexpensive nowcasting pluvial flood prediction, we have applied the knowledge distillation (KD) technique for training a lightweight neural network with the integrated flood analysis as a teacher. In the previous work, we showed its applicability in terms of prediction time and accuracy. However, this KD-based approach would not be sufficiently accurate in predicting floods caused by rainfall in minor rainfall patterns. To cope with it, we propose a prioritized sampling method that compensates for the imbalance between rainfall patterns. The rainfall patterns are mined from big rainfall data based on the spatiotemporal features of rainfall intensity over a rainfall duration. Compared to random sampling, we show that our prioritized sampling reduces the average prediction error of floods caused by rainfall in a minor rainfall pattern by 37 cm per mesh, which is equivalent to 96% reduction in error rate.
From conventional to digital leadership: exploring digitalization of leadership and innovative work behavior

Purpose The leadership shift from conventional to digital comes from the compulsory digitalization of the workplace because the technological progress provides the opportunity of doing work remotely, and this is a great advantage of reducing costs that stem from the offline workplace. Thus, this research aims at demonstrating the relationship between digitalization of leadership and innovative work behavior. Design/methodology/approach Data were collected from 320 Turkish department managers in the Textile Industry through digital leadership and innovate work behavior scales. The hypotheses were tested using path analysis. The analyses were conducted by using SPSS and AMOS package programs. Findings The results show that the employees’ perceptions of digital leadership have a positive and significant effect on all dimensions of an employee innovative work behavior. Also, the leaders with high digital skills were perceived positively by the employees and the employees tend to adapt innovative behaviors when they have the digitally skilled leaders. Originality/value This study contributes to leadership research by providing evidence for the role of leadership shift in innovative work behavior. Extending the verification of leadership shift in innovative work behavior that can be adopted in Turkey has also been considered.
Dyscoordination of Non-Rapid Eye Movement Sleep Oscillations in Autism Spectrum Disorder.

STUDY OBJECTIVES Converging evidence from neuroimaging, sleep, and genetic studies suggests that dysregulation of thalamocortical interactions mediated by the thalamic reticular nucleus (TRN) contribute to autism spectrum disorder (ASD). Sleep spindles assay TRN function, and their coordination with cortical slow oscillations (SOs) indexes thalamocortical communication. These oscillations mediate memory consolidation during sleep. In the present study, we comprehensively characterized spindles and their coordination with SOs in relation to memory and age in children with ASD. METHODS Nineteen children and adolescents with ASD, without intellectual disability, and 18 typically developing (TD) peers, aged 9-17, completed a home polysomnography study with testing on a spatial memory task before and after sleep. Spindles, SOs, and their coordination were characterized during stages 2 (N2) and 3 (N3) non-rapid eye movement sleep. RESULTS ASD participants showed disrupted SO-spindle coordination during N2 sleep. Spindles peaked later in SO upstates and their timing was less consistent. They also showed a spindle density (#/min) deficit during N3 sleep. Both groups showed significant sleep-dependent memory consolidation, but its relations with spindle density differed. While TD participants showed the expected positive correlations, ASD participants showed the opposite. CONCLUSIONS The disrupted SO-spindle coordination and spindle deficit provide further evidence of abnormal thalamocortical interactions and TRN dysfunction in ASD. The inverse relations of spindle density with memory suggest a different function for spindles in ASD than TD. We propose that abnormal sleep oscillations reflect genetically mediated disruptions of TRN-dependent thalamocortical circuit development that contribute to the manifestations of ASD and are potentially treatable.
The indoor thermal environment of rural school classrooms in Northwestern China

School classroom thermal environments could impact on thermal comfort and learning performance. Currently, the majority of research on the school indoor thermal environment has been focusing on urban areas, but notably little research has been conducted on rural schools. A field study was undertaken during the winter in Northwestern China, in order to investigate the indoor thermal environment and the impact on students’ thermal comfort and learning performance in rural primary and secondary schools. Through subjective surveys and objective measurements, we gathered 763 sets of data and questionnaires. Together with the measured air temperature, relative humidity, air velocity, globe temperature, teenagers’ activity levels and clothing insulation levels, the sensations of the indoor air conditions and the learning performance were evaluated. The current thermal environment situation in rural schools was identified. The neutral temperature was found to be approximately 15.0℃ with an average clothing insulation of 1.6 clo. Overall, the environment is satisfactory and comfortable. Moreover, the results from the students’ fatigue testing demonstrated the temperature corresponding to the highest learning performance is lower than the actual neutral temperature by about 1.0℃. The basic parameters of our findings have provided a future reference for improvement of the thermal environment in rural schools.
El 14F a Instagram. Una proposta d’articulació de tècniques de raspat web i anàlisi de xarxes

En aquest article analitzem la campanya electoral del 14 de febrer de 2021 al Parlament de Catalunya a través de la conversa dels partits a Instagram, una de les plataformes digitals amb més usuaris registrats i també una de les menys ateses en la recerca sociològica sobre els mitjans socials. Hem aplicat una sèrie de tècniques de raspat web ètic i legal per adquirir les dades, que han estat recuperades, processades i emmagatzemades en una base de dades relacional. Posteriorment, hem aplicat tècniques de mineria de dades i algoritmes d’aprenentatge no supervisat orientats, d’una banda, a l’anàlisi descriptiva i exploratòria de la conversa i, de l’altra, a l’elaboració de xarxes de coocurrències lèxiques que ens permeten fer una anàlisi sobre el discurs que articulen els partits. Partint d’una metodología inductiva i estructural, hem caracteritzat diversos aspectes del relat que han construït els partits catalans en la campanya electoral: els relatius a les seves pràctiques de publicació de continguts, a l’acollida de les seves audiències i als diferents usos de hashtags i paraules que han dut a terme. Més enllà del cas d’anàlisi concreta i de la caracterització dels relats dels partits durant la campanya política del 14F i les seves diferències internes, amb aquest article també pretenem posar damunt la taula un model d’estudi basat en tècniques d’anàlisi de dades massives aplicables i replicables en qualsevol escenari de dades adquirit mitjançant tècniques de raspat web ètic i legal que garanteix l’autonomia investigadora dels científics socials.
Notoginsenoside R1 Facilitated Wound Healing in High-Fat Diet/Streptozotocin-Induced Diabetic Rats

Diabetic ulcers bring about high morbidity and mortality in patients and cause a great economic burden to society as a whole. Since existing treatments cannot fulfil patient requirements, it is urgent to find effective therapies. In this study, the wound healing effect of topical notoginsenoside R1 (NR1) treatment on diabetic full-thickness wounds in type II diabetes mellitus (T2DM) was induced by the combination of a high-fat diet and streptozotocin (STZ) injection. NR1 significantly increased the wound closure rate, enhanced extracellular matrix (ECM) secretion, promoted collagen growth, increased platelet endothelial cell adhesion molecule-1 (CD31) expression, and decreased cleaved caspase-3 expression. RNA-Seq analysis identified ECM remodeling and inflammation as critical biological processes and Timp1 and Mmp3 as important targets in NR1-mediated wound healing. Further experiments showed that NR1-treated wounds demonstrated higher expression of tissue inhibitor of metalloproteinase 1 (TIMP1) and transforming growth factor-β1 (TGFβ1) and lower expression of matrix metallopeptidase 9 (MMP9), matrix metallopeptidase 3 (MMP3), interleukin-1β (IL-1β), and interleukin-6 (IL-6) than diabetic wounds. These investigations promote the understanding of the mechanism of NR1-mediated diabetic wound healing and provide a promising therapeutic drug to enhance diabetic wound healing.
Systematic review of metrics used to characterise dietary nutrient supply from household consumption and expenditure surveys

Abstract Objective: To review existing publications using Household Consumption and Expenditure Survey (HCES) data to estimate household dietary nutrient supply to (1) describe scope of available literature, (2) identify the metrics reported and parameters used to construct these metrics, (3) summarise comparisons between estimates derived from HCES and individual dietary assessment data and (4) explore the demographic and socio-economic sub-groups used to characterise risks of nutrient inadequacy. Design: This study is a systematic review of publications identified from online databases published between 2000 to 2019 that used HCES food consumption data to estimate household dietary nutrient supply. Further publications were identified by ‘snowballing’ the references of included database-identified publications. Setting: Publications using data from low- and lower-middle income countries. Results: In total, fifty-eight publications were included. Three metrics were reported that characterised household dietary nutrient supply: apparent nutrient intake per adult-male equivalent per day (n 35), apparent nutrient intake per capita per day (n 24) and nutrient density (n 5). Nutrient intakes were generally overestimated using HCES food consumption data, with several studies finding sizeable discrepancies compared with intake estimates based on individual dietary assessment methods. Sub-group analyses predominantly focused on measuring variation in household dietary nutrient supply according to socio-economic position and geography. Conclusion: HCES data are increasingly being used to assess diets across populations. More research is needed to inform the development of a framework to guide the use of and qualified interpretation of dietary assessments based on these data.
Chemical Stability of Ascorbic Acid Integrated into Commercial Products: A Review on Bioactivity and Delivery Technology

The L-enantiomer of ascorbic acid is commonly known as vitamin C. It is an indispensable nutrient and plays a key role in retaining the physiological process of humans and animals. L-gulonolactone oxidase, the key enzyme for the de novo synthesis of ascorbic acid, is lacking in some mammals including humans. The functionality of ascorbic acid has prompted the development of foods fortified with this vitamin. As a natural antioxidant, it is expected to protect the sensory and nutritional characteristics of the food. It is thus important to know the degradation of ascorbic acid in the food matrix and its interaction with coexisting components. The biggest challenge in the utilization of ascorbic acid is maintaining its stability and improving its delivery to the active site. The review also includes the current strategies for stabilizing ascorbic acid and the commercial applications of ascorbic acid.
Un modelo de simulación del proceso de producción de la Línea DTC-2000 de Alimentos Pepsico A simulation model of Alimentos Pepsicos Línea DTC-2000 production process

This paper presents a simulation model of the production process of DTC-2000 (Mega Cheese Doritos) of Alimentos Pepsico Company, using the System Dynamics methodology. The values of parameters such as amount purchased of maize and maize state variables (clean, cooking, cooked and rested and in tortilla with condiments) also the product inventory and demand, were estimated through interviews with technical experts and studying documentation provided by the company. Model validation was accomplished by means of experts on the subject. Various scenarios were evaluated, such as increase and decrease in product demand. The state variables exhibited similar behavior to those in the real system, as well as some changes in the production structure adding another sub-product. The results point out that the company might explore the possibility of increasing its capacity for production of tortillas, in order to improve their profits.
A Moderate Mitigation Can Significantly Delay the Emergence of Compound Hot Extremes

Compound hot extremes (ChotEs) that refer to continuous heats throughout days and nights are projected to increase, causing more serious impacts on human health than daytime or nighttime heats alone. Previous studies have focused on daytime heats, but the timing of substantial increase in ChotEs relative to natural variability, which is defined as the time of emergence (ToE) for ChotEs, remains unknown. Here we examine ToE for duration of summertime ChotEs from coupled model intercomparison project phase 6 climate model projections under two shared socioeconomic pathway scenarios (i.e., SSP245 and SSP585). We further quantify the cumulative fraction of areal and population exposed to the emergence at global and continental scales. We find that, without implementation of climate mitigation policies (i.e., SSP585), global mean ToE is around 2062 (with 16%–84% uncertainty range of 2048–2072). On the basis of the ToE for each grid cell, 80.7% (with uncertainty range of 64.2%–96.7%) of global lands will expose to the emergence by 2080. Such substantial increases in ChotEs will lead to 75.2% (66.8%–93%) of global population exposed to the emergence by the end of 21st century. A moderate mitigation (i.e., SSP245) can delay the ToE by over 14 years and, more importantly, reduce the global land areal and population exposures by 50.3% and 39.7% respectively. Regionally, northern Europe, central America and western North America benefit the most. Therefore, early action towards moderate development socioeconomic pathways can remarkably cut back the possibility of large population exposure to ChotEs and relevant impacts.
Transarterial Radioembolization for Unresectable Hepatocellular Carcinoma: Real-Life Efficacy and Safety Analysis of Korean Patients

Simple Summary While guidelines endorse locoregional intra-arterial therapies for intermediate-stage hepatocellular carcinoma (HCC) and systemic chemotherapies for advanced-stage HCC, there is emerging literature on transarterial radioembolization (TARE) with 90Y radioembolization. Our present study included a large number of patients from two major hospitals in Korea that may represent real-life efficacy data of unresectable HCCs. This study comprised 24% of Barcelona Clinic Liver Cancer (BCLC) A, 42% of BCLC B and 34% of BCLC C staged HCCs, which may represent real-life efficacy data across BCLC stages. The best overall tumor response, median overall survival and progression-free survival were comparable or even better than previous studies, especially for the intermediate-stage. Furthermore, the toxicities were durable, patients recovered without complication and none experienced adverse effects from the irradiation of non-target tissues. Abstract Transarterial radioembolization (TARE) has become widely used in the treatment of HCC, one of the most common causes of cancer mortality worldwide. Here we investigated the long-term clinical outcomes of patients with hepatocellular carcinoma (HCC) treated with TARE in a multi-medical center in Korea. A total of 149 patients treated with TARE from 2008–2014 were recruited. The pre-treatment HCC stage was classified according to the BCLC stage, of which C and D were defined as advanced HCC. Advanced HCC stage and Child–Turcotte–Pugh (CTP) score A were identified in 62 (42%) and 134 (90%) patients, respectively. Portal vein thrombosis (PVT) was identified in 58 patients (38.9%). The median time to progression (TTP) was 14 months, and the median overall survival (OS) and progression-free survival (PFS) were 18.6 and 8.9 months, respectively. The overall tumor response was 47%, and the disease control rate was 78%. OS and PFS differed significantly according to the presence of liver cirrhosis, extrahepatic metastasis, tumor response and curative treatment after TARE (all, p < 0.05). Multiple tumors and major PVT were other independent factors related to OS, while the des-gamma carboxy protein level predicted PFS (all, p < 0.05). Tumor size was an independent predictor of tumor response. TTP, OS and PFS all differed among BCLC stages. The serious adverse effect after TARE was clinically not significant. Therefore, TARE is safe and effective in treating early to advanced HCCs.
Degree-based Feature Is All You Need: Science4Cast Report

Scientific publications in field of AI can be viewed as an exponentially growing dynamic graph where vertices represent different concepts and each edge represents the first time two concepts got discussed and connected in a publication. Here, as a part of Science4Cast competition, we demonstrate a model to predict future links in this graph based on basic and temporal properties of its vertices. We train various gradient boosting models on this data. Also, we employ dataset augmentation to make these models order-invariant. Finally, we post-process results of individual models to get a single final prediction.
Transformational Leadership Role on Work Performance under the COVID 19 Pandemic in Zimbabwe

COVID-19 outbreak has caused many changes in employees' routine and activities, as well as in managerial leadership styles in mitigating the COVID-19's implications. During the COVID 19 era, leadership practices have been criticized as insignificant. To a considerable degree, this is due to the reactive mode and mismatching solutions offered to the prevailing situation by leaders in trying to enhance employees’ perceptions in their safety, welfare and work tools support. However, as transformational leadership is the most suitable leadership style to lead human resources in uncertain environments. The objective of this research is to examine transformational leadership role on work performance among Beverage’s manufacturing companies who have been working during the pandemic. This is quantitative research which comprises of a sample of 369 employees who were selected using probability sampling where a self-administered survey questionnaire was administered on employees and the responses were analyzed using various statistical techniques. The results show that each dimension of transformational leadership predicts work performance, although not at the same extent. This pandemic inevitably pushed for new leaderships skills that can become an integral part of the post-pandemic world. Hence the research provides important practical implications for improving employee's performance through appropriate leadership traits.