Miracle-dz/UniFAR-FTUs huggingface dataset:
PROX1, a Key Mediator of the Anti-Proliferative Effect of Rapamycin on Hepatocellular Carcinoma Cells

The MTOR signal is known to be activated in various cancer cells including hepatocellular carcinoma (HCC) cells. Rapamycin, a specific inhibitor of MTOR, has been widely used as an immunosuppressant in organ transplant patients, and its clinical application has been recently expanded to cancer therapy. In this study, the anti-proliferative effect of rapamycin was investigated in four different HCC cell lines. Rapamycin effectively inhibited the proliferation of Huh7 or Hep3B, but not that of HepG2 or SNU3160 cells. Interestingly, rapamycin increased Prospero-related homeobox 1 (PROX1) expression at the protein level, but did not affect its transcript in Huh7 as well as Hep3B cells. Moreover, immunoprecipitation assays showed that PROX1 ubiquitination was downregulated by rapamycin. Furthermore, PROX1 over-expression or siRNA knock-down in Huh7 and Hep3B cells reduced or increased proliferation, respectively. The effect of PROX1 over-expression on the sensitivity to rapamycin was not synergistic, but the effect of MTOR inhibition on cell proliferation was diminished by PROX1 siRNA. Finally, Huh7 cells were inoculated into the flanks of nude mice and rapamycin was injected daily for 14 days. The xenograft volume was decreased and PROX1 expression was increased by rapamycin. These results indicate that PROX1 plays a key role in the anti-proliferative effect of rapamycin and suggest that the increased PROX1 by MTOR inhibition can be used as a useful marker for predicting whether HCC cells can be affected by rapamycin.
Active and Passive Mediated Social Touch with Vibrotactile Stimuli in Mobile Communication

Tactile technology in mobile devices makes mediated social touch (MST) a possibility. MST with vibrotactile stimuli can be applied in future online social communication applications. There may be different gestures to trigger vibrotactile stimuli for senders and receivers. In this study, we compared senders with gestures and receivers without gestures to identify the differences in perceiving MST with vibrotactile stimuli. We conducted a user study to explore differences in the likelihood to be understood as a social touch with vibrotactile stimuli between senders and receivers. The results showed that for most MST, when participants acted as senders and receivers, there were no differences in understanding MST with vibrotactile stimuli when actively perceiving with gestures or passively perceiving without gestures. Researchers or designers could apply the same vibrotactile stimuli for senders’ and the receivers’ phones in future designs.
Drug Delivery from Stimuli-Responsive Poly(N-isopropylacrylamide-co-N-isopropylmethacrylamide)/Chitosan Core/Shell Nanohydrogels

The synthesis of stimulus-responsive poly(N-isopropylacrylamide-co-N-isopropylmethacrylamide)/chitosan core/shell nanohydrogels made by batch emulsion polymerization in the presence of chitosan (CS) micelles is reported. The ratio of monomers required to obtain copolymers with a volume phase transition temperature (TVPT) in the range of the temperatures observed in the human body in response to an infection (38 to 40 °C) was estimated with the Fox equation. The conversion was determined by gravimetry; mean particle size, size distribution, and thermal response were measured by quasi-elastic light scattering (QLS). The core/shell structure was confirmed by TEM, and FTIR showed the presence of N-isopropyl acrilamide (NIPA), N-isopropyl methacrylamide (NIPMA), and CS in the nanohydrogels. The nanohydrogels were loaded with the drug doxycycline hyclate, and their release kinetic profile was determined at pH = 2.0 and 7.4 at their volume phase transition temperatures (TVPT). A higher amount of drug was released at acidic pH. Some mathematical models described in the literature were used to fit the experimental drug release data.
Pneumocystis Pneumonia: Pitfalls and Hindrances to Establishing a Reliable Animal Model

Pneumocystis pneumonia is a severe lung infection that occurs primarily in largely immunocompromised patients. Few treatment options exist, and the mortality rate remains substantial. To develop new strategies in the fields of diagnosis and treatment, it appears to be critical to improve the scientific knowledge about the biology of the Pneumocystis agent and the course of the disease. In the absence of in vitro continuous culture system, in vivo animal studies represent a crucial cornerstone for addressing Pneumocystis pneumonia in laboratories. Here, we provide an overview of the animal models of Pneumocystis pneumonia that were reported in the literature over the last 60 years. Overall, this review highlights the great heterogeneity of the variables studied: the choice of the host species and its genetics, the different immunosuppressive regimens to render an animal susceptible, the experimental challenge, and the different validation methods of the model. With this work, the investigator will have the keys to choose pivotal experimental parameters and major technical features that are assumed to likely influence the results according to the question asked. As an example, we propose an animal model to explore the immune response during Pneumocystis pneumonia.
The influence of the motivation theory on women startup enterprises in Kigali

Achievement motivation refers to the attainment of business goals. An entrepreneur can receive a reward from the achievement motivation in terms of intrinsic or extrinsic rewards. However, due to cultural norms, stereotyping, and patriarchy, Rwandan women face difficulties when starting a business. Some women broke the glass ceiling and launched their businesses amidst many challenges. A quantitative method guided this study. The survey collected 409 questionnaires from purposively selected women-owned SMEs in Kigali. The findings indicate the challenges they faced, such as HIV/AIDS, a lack of entrepreneurship skills, and market opportunities. Despite the challenges they faced, their businesses performed well, which supported the theory of ‘achieve motivation’. This resulted in rewards, such as respect among family members, the community, and an improvement in their lifestyle, which is critical in Kigali. This study provides novelty in discovering women’s SME achievements in Kigali based on motivation theories. The findings of this study provide a directive to policymakers to improve women-owned businesses under patriarchal environments in Kigali.
Supportive Intervention Challenges for Patients with Breast Cancer: A Systematic Review

Background: Cancer and its treatment can have a profound effect on the appearance of the patient, the aim of this systematic review was to identify challenges among patients with breast cancer and the effective intervention for coping it. Materials and Methods: This systematic review that was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines between January 2000 to December 2018. The keywords searched included: “breast cancer,” “breast neoplasm,” “breast tumor,” “educational intervention,” “cognitive program,” “body image,” “supportive intervention,” “family,” “behavioral therapy,” “counselling,” “husband,” and “spouse,”. The Google Scholar, ISI Web of Science, Science Direct, PubMed and Scopus databases were searched. Results: After screening and review of article eligibility, ten were included in the study. The selected articles were compared regarding the aims of interest. The results showed some effective factor in the improvement of patients with breast cancer including family support, supportive programs, physically and psychologically support with family and relatives, holistic care, psychological screening and consultation, social support, family involvement in the treatment process of women with breast cancer. Conclusion: According to the results, the most problem of all articles was body image and the best effective way is family support.
You are what you read: media, identity, and community in the 2020 Belarusian uprising

ABSTRACT The movement that mobilized to oppose Alyaksandr Lukashenka in August 2020 was notable for its ability to bridge divisions of social class, geography, age, and identity. Almost uniquely among post-Soviet revolutionary movements, the Belarusians who rose up were not divided from those who did not along clearly discernible socio-demographic, ethnic, linguistic, or regional lines. They were, however, separated by one very stark barrier: the one separating the country’s two distinct media systems, one controlled by the state, and one independent. Drawing on an original survey conducted in September 2020, just as the protest movement was reaching its peak, this article finds that respondents’ choice of news media was the strongest and most consistent predictor of their political opinions. Media, then, appear to have served not merely as aggregators of and conduits for social processes generated elsewhere, but as the producers of social and political force in their own right.
A Hybrid Machine Learning Model Based on Semantic Information Can Optimize Treatment Decision for Naïve Single 3–5-cm HCC Patients

Background: Tumor recurrence is an abomination for hepatocellular carcinoma (HCC) patients receiving local treatment. Purpose: The aim of the study was to build a hybrid machine learning model to recommend optimized first treatment (laparoscopic hepatectomy [LH] or microwave ablation [MWA]) for naïve single 3–5-cm HCC patients based on early recurrence (ER, ≤2 years) probability. Methods: This retrospective study collected 20 semantic variables of 582 patients (LH: 300, MWA: 282) from 13 hospitals with at least 24 months follow-up. Both groups were divided into training, validation, and test set, respectively. Five algorithms (logistics regression, random forest, neural network, stochastic gradient boosting, and eXtreme Gradient Boosting [XGB]) were used for model building. A model with highest area under the receiver operating characteristic curve (AUC) in a validation set of LH and MWA was selected to connect as a hybrid model which made decision based on ER probability. Model testing was performed in a comprehensive set comprising LH and MWA test sets. Results: Four variables in each group were selected to build LH and MWA models, respectively. LH-XGB model (AUC = 0.744) and MWA-stochastic gradient method (AUC = 0.750) model were selected for model building. In the comprehensive set, a treatment confusion matrix was established based on recommended and actual treatment. The predicted ER probabilities were comparable with the actual ER rates for various types of patients in matrix (p > 0.05). ER rate of patients whose actual treatment consistent with recommendation was lower than that of inconsistent patients (LH: 21.2% vs. 46.2%, p = 0.042; MWA: 26.3% vs. 54.1%, p = 0.048). By recommending optimal treatment, the hybrid model can significantly reduce ER probability from 38.2% to 25.6% for overall patients (p < 0.001). Conclusions: The hybrid model can accurately predict ER probability of different treatments and thereby provide reliable evidence to make optimal treatment decision for patients with single 3–5-cm HCC.
Knowledge Graph Based Hard Drive Failure Prediction

The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have been conducted and many are still ongoing to improve hard drive failure prediction. Most of those studies rely solely on machine learning, and a few others on semantic technology. The studies based on machine learning, despite promising results, lack context-awareness such as how failures are related or what other factors, such as humidity, influence the failure of hard drives. Semantic technology, on the other hand, by means of ontologies and knowledge graphs (KGs), is able to provide the context-awareness that machine learning-based studies lack. However, the studies based on semantic technology lack the advantages of machine learning, such as the ability to learn a pattern and make predictions based on learned patterns. Therefore, in this paper, leveraging the benefits of both machine learning (ML) and semantic technology, we present our study, knowledge graph-based hard drive failure prediction. The experimental results demonstrate that our proposed method achieves higher accuracy in comparison to the current state of the art.
Hybrid Energy Efficiency Friendly Frequency Domain TR Algorithm Based on PSO Algorithm Evaluated by Novel Maximizing HPA Efficiency Evaluation Criteria

Smart Grids (SGs) expedite secure, large-scale and efficient two-way communication between the power supply and management, but under a sophisticated 5G communication infrastructure, the multi carrier system is the principle system. The high peak-to-average power ratio (PAPR) is one of the significant limitations of the 5G multi carrier (MC) system, as it impedes the efficient design of the 5G analogue front end. Tone reservation (TR) is a highly efficient scheme without signal distortion, which is designed by increasing the freedom in the frequency domain for PAPR reduction. In this paper, a particle swarm optimization (PSO) based TR (PSO-TR) scheme proceeding with an optimal input power back off-modulation error ratio (IBO-MER) convergence criterion is proposed to improve high power amplifier (HPA) efficiency for OFDM systems. A probabilistic analysis of TR predistribution and freedom in the frequency domain, in relationship with the amplitude of its constituent samples, is carried out. This yields the theoretical framework employed in design of the proposed high computing-enhanced solutions. The proposed PSO-TR essentially make the frequency domain distribution and operation itself adaptive, that is, it adjusts to comply with the changing HPA efficiency and redundant cost during application runtime.
The Role of Estrogen Receptor β in PM2.5 Organic Extract-Induced Pulmonary Inflammation in Female and Male Mice

Automobile exhaust is one of the main sources of PM2.5 in urban areas, and traffic-originated PM2.5 organic extract (Po) can promote inflammation in different organs, especially in the lung. In addition, sex differences were reported in many inflammatory diseases, but the triggering factors of sex differences in inflammatory responses are still unclear. In this study, we investigated the effects of Po exposure on pulmonary inflammatory responses and evaluated the role of sex in this process. Mice were exposed to 100 µg/m3 Po for 12 weeks by an inhalation exposure system in a polycarbonate chamber. In Po-exposed mice, the lung histopathological analysis shown obvious inflammation, the cell numbers in bronchoalveolar lavage fluid (BALF) were significantly increased, and most inflammatory cytokines in BALF were upregulated. Factorial analysis of variance was carried out to investigate the interaction between sex and Po exposure in these effects. The results shown that the increase of inflammatory cell numbers and the fluctuation of cytokine levels (TNF-α, IL-5, and GRO/KC) in BALF induced by Po were significantly different between female and male mice. Notably, these differences were diminished while Po-exposed mice were injected with PHTPP, an ERβ antagonist (1 mg/kg, i.p.). We hypothesized that Po-induced inflammatory responses were different between female and male mice, and ERβ was involved in these processes. To our knowledge, this is the first investigation about the role of sex in Po-induced adverse effects. This study provided a theoretical basis for understanding the sex differences in the adverse effects of environmental pollutants.
DOES TRANSFORMATIONAL LEADERSHIP AFFECTING THE INNOVATIVE SKILLS OF STUDENTS?

This research aims to determine the influence of transformational leadership on innovative behavior through psychological empowerment as a mediation variable. This study used quantitative methods. The data collected by interviews and questionnaires. The samples were taken using a saturated model from 42 responden of student association of Islamic Education Management Study Program, UIN Sulthan Thaha Saifuddin Jambi. The data were analyzed using descriptive, regression, and path analysis. The results showed that transformational leadership significantly influenced students' innovative behavior directly or mediated by psychological empowerment variables. The resulting impact of pathway coefficients on psychological empowerment has a considerable effect on the innovative behavior of students with a p-values value of 0.003 < from 0.05; transformational leadership has a substantial impact on innovative behavior through psychological empowerment with a p-values value of 0,000 > 0.05. It shows that improving students' innovative behavior can be achieved with transformational leadership roles through psychological empowerment variable in student association of Islamic Education Management Study Program, UIN Sulthan Thaha Saifuddin Jambi. The association of students are expected to pay attention to students needs and activities, create a comfortable organizational environment to optimizing student activities.
Taste of Fat and Obesity: Different Hypotheses and Our Point of View

Obesity results from a temporary or prolonged positive energy balance due to an alteration in the homeostatic feedback of energy balance. Food, with its discriminative and hedonic qualities, is a key element of reward-based energy intake. An alteration in the brain reward system for highly palatable energy-rich foods, comprised of fat and carbohydrates, could be one of the main factors involved in the development of obesity by increasing the attractiveness and consumption of fat-rich foods. This would induce, in turn, a decrease in the taste of fat. A better understanding of the altered reward system in obesity may open the door to a new era for the diagnosis, management and treatment of this disease.
Henrich’s Weberian project

traits. PLOS ONE, 8(8), e70902. https://doi.org/10.1371/journal.pone. 0070902 Scheidel, W. (2009). A peculiar institution? Greco–Romanmonogamy in global context. The History of the Family, 14 (3), 280–291. https://doi.org/10.1016/j.hisfam. 2009.06. 001 Schulz, J., Bahrami-Rad, D. , Beauchamp, J., & Henrich, J. (2018). The origins of WEIRD psychology (SSRN Scholarly Paper No. ID 3201031). Rochester, NY: Social Science Research Network. Retrieved from Social Science Research Network website: https://papers.ssrn. com/abstract=3201031 Schulz, J. F. , Bahrami-Rad, D. , Beauchamp, J. P., & Henrich, J. (2019). The church, intensive kinship, and global psychological variation. Science, 366(6466), eaau5141. https://doi.org/10.1126/science.aau5141 Shaw, B. D. , & Saller, R. P. (1984). Close-Kin marriage in Roman society? Man, 19(3), 432. https://doi.org/10.2307/ 2802181 Shenk, M. K. , Towner, M. C. , Voss, E. A. , & Alam, N. (2016). Consanguineous marriage, kinship ecology, and market transition. Current Anthropology, 57(S13), S167–S180. https://doi.org/10.1086/685712 Smaldino, P. E. (2014). The cultural evolution of emergent group-level traits. Behavioral and Brain Sciences, 37(3), 243–254. https://doi.org/10.1017/S0140525X13001544
Effects of land use type and seasonal climate on ground nesting wild bees

Agricultural intensification leads to wide ranging changes in habitats along with reduction in nesting site availability and flower resources for wild pollinators. Yet, little is known about the impact of these changes on functional traits of communal ground‐nesting bees. This study assesses the abundance and body size of a common and widespread North American ground‐nesting bee, Agapostemon virescens, throughout three consecutive years at three land use types: (i) unmowed meadows, (ii) conventional pesticide use and mowed agricultural and (iii) organic pesticide‐free mowed landscapes. We found no difference in abundance among the three land use types, but body size of spring bees was smaller at farmlands than meadow sites. Body size also varied among years, and bees were smaller in years that followed warm and dry summer seasons. Spring bees were particularly small at organic farms in years following dry and warm summers. Our results suggest that the smaller size of overwintering bees at agricultural lands could compromise their long‐term survival. This study indicates that a higher frequency of dry and warm summers as a consequence of climate change can impede bee populations in the future.
Sublimation Study of Six 5-Substituted-1,10-Phenanthrolines by Knudsen Effusion Mass Loss and Solution Calorimetry

The vapor pressures of six solid 5-X-1,10-phenanthrolines (where X = Cl, CH3, CN, OCH3, NH2, NO2) were determined in suitable temperature ranges by Knudsen Effusion Mass Loss (KEML). From the temperature dependencies of vapor pressure, the molar sublimation enthalpies, ΔcrgHm0(⟨T⟩), were calculated at the corresponding average ⟨T⟩ of the explored temperature ranges. Since to the best of our knowledge no thermochemical data seem to be available in the literature regarding these compounds, the ΔcrgHm0(⟨T⟩) values obtained by KEML experiments were adjusted to 298.15 K using a well known empirical procedure reported in the literature. The standard (p0 = 0.1 MPa) molar sublimation enthalpies, ΔcrgHm0(298.15 K), were compared with those determined using a recently proposed solution calorimetry approach, which was validated using a remarkable amount of thermochemical data of molecular compounds. For this purpose, solution enthalpies at infinite dilution of the studied 5-chloro and 5-methylphenantrolines in benzene were measured at 298.15 K. Good agreement was found between the values derived by the two different approaches, and final mean values of ΔcrgHm0(298.15 K) were recommended. Finally, the standard molar entropies and Gibbs energies of sublimation were also derived at T = 298.15 K. The volatilities of the six compounds were found to vary over a range of three orders of magnitude in the explored temperature range. The large difference in volatility was analyzed in the light of enthalpies and entropies of sublimation. The latter was tentatively put in relation to the rotational contribution of the substituent group on the phenanthroline unit.
Cardiovascular Complications of Hospitalized Patients With Coronavirus Disease 2019 in a Japanese Registry in 2020.

BACKGROUND Cardiovascular complications of coronavirus disease 2019 (COVID-19) are critical for prognosis but have not been elucidated in Japan.Methods and Results:The COVID-19 Registry Japan, which included data from 19,853 individuals at the end of 2020, was analyzed. The incidences of cardiovascular complications were 0.098% for myocarditis/pericarditis/cardiomyopathy, 0.48% for ventricular tachycardia/fibrillation, 0.17% for myocardial ischemia, 0.062% for endocarditis, 0.59% for deep vein thrombosis, 0.19% for pulmonary embolism, and 0.37% for cerebral infarction/hemorrhage. Excluding endocarditis, all complications were associated with increased in-hospital mortality. CONCLUSIONS Cardiovascular complications of COVID-19 were infrequent in Japan but were associated with poor prognosis.