Miracle-dz/UniFAR-FTUs huggingface dataset:
The Pervasive Presence of Chinese Government Content on Douyin Trending Videos

The proliferation of social media has expanded the strategies for government propaganda, but quantitative analyses of the content of digital propaganda continue to rely predominantly on textual data. In this paper, we use a multi-modal approach that combines analysis of video, text, and meta-data to explore the characteristics of Chinese government activities on Douyin, China's leading social video-sharing platform. We apply this multi-modal approach on a novel dataset of 50,813 videos we collected from the Douyin Trending page. We find that videos from the Douyin accounts of Chinese state media, government, and Communist Party entities (what we call state-affiliated accounts) represent roughly half of all videos featured on the Douyin Trending page. Videos from state-affiliated accounts focus on political information and news while other Trending videos are dominated by entertainment content. Videos from state-affiliated accounts also exhibit features, including short duration, brightness, and high entropy, found in prior research to increase attention and engagement. However, videos from state-affiliated accounts tend to exhibit lower average levels of audience engagement than Trending videos from other types of accounts. The methods and substantive findings of this paper contributes to an emerging literature in communication on the computational analysis of video as data.
Ultrafast Solid-State Transformation Pathway from New-Phased Goethite VOOH to Paramontroseite VO2 to Rutile VO2(R)

Monoclinic vanadium dioxides VO2(M) is prototype material for interpreting correlation effects in solids, and its fully reversible metal−insulator transition (MIT) also brings the great interest in construction of intelligent devices such as temperature sensors and energy-efficient smart windows. The solid-state transformation started from vanadium precursors has been long-term regarded as the classic effective route to rutile VO2(R), while the conventional vanadium precursors usually requires indispensable atomic lattice rearrangement and reshuffling to realize rutile VO2(R) phase, leading to strict experimental conditions, high cost, and long conversion time (even more than one day) during the VO2(R) formation process. Herein, under the theoretical guidance of atomically structural analysis, a new structure-conversion pathway from goethite VOOH to paramontroseite VO2 to rutile VO2(R) realized an alternative ultrafast transformation into desired monoclinic VO2(M), of which each two steps only requires wi.
Chemical Composition and Morphology of Titanium Surface Oxides

Titanium has emerged as one of the most tissue-compatible metallic materials. The high degree of biocompatibility is intimately connected with the oxide that forms on the metal surface. In the present work a broad characterization has been made of titanium samples pretreated both by presently used clinical procedures (mechanical machining, ultrasonic cleaning and autoclaving) and by alternative preparation procedures such as electropolishing and anodic oxidation. The former samples are found to have a surface oxide of TiO 2 which is 30–50 A thick, with some trace element contamination and a relatively large carbon content (30–50 % of a monoatomic layer). The anodically oxidized samples also consist of TiO 2 with an oxide thickness range of 50–2000 A, but the morphology and crystallinity of the anodic oxides are found to depend on thickness and preparation conditions. The main methods of investigation used in the present study were ESCA, SIMS and transmission electron microscopy.
Chemical Composition of Lizardfish Surimi By-Product: Focus on Macro and Micro-Minerals Contents

Surimi processing industries generated over 60% of fish by-products, including head, skin, viscera, trimming, bone, scale, and fin. Hence, an effort converting these by-products into valuable compounds and constituents is necessary for optimizing the resources. In order to implement this, the information on the chemical composition of the by-products is helpful. This study aimed to determine the chemical composition, particularly minerals of lizardfish surimi by-products. The protein, fat, ash, moisture, and carbohydrate values of by-products differed significantly (p < 0.05). Protein content was highest in the skin and scale (29.63% and 29.62%, respectively), and ash content was predominantly found in the scale (28.43%), fin (26.01%), and bone (23.58%). Calcium, magnesium, potassium, and sodium content were significantly varied respectively from 0.25% to 6.88%, 0.06% to 0.37%, 0.01% to 0.09%, and 0.01% to 0.32%. Calcium is highest in scale, whereas zinc, manganese, and iron were most abundance in all parts of the by-products sample. Zinc is mostly detected in the fin (76.75 μg/g), bone (48.67 μg/g) and scale (46.01 μg/g) parts. On the other hand, copper, chromium, selenium, cadmium and lead were detected at lower concentration (less than 2 μg/g), and complied with the safety levels set by the Malaysian Food and Regulations. These findings suggest that, by-products generated from lizardfish surimi processing may be used as ingredients to enrich nutritional value of other food products. CONTACT Nurul Huda drnurulhuda@ums.edu. my Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia. © 2021 The Author(s). Published by Enviro Research Publishers. This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY). Doi: 10.12944/CRNFSJ.9. 1.06 Article History Received: 13 September 2020 Accepted: 03 February 2021
Structure-Controlled Variable Stiffness Robotic Joint Based on Multiple Rotary Flexure Hinges

Variable stiffness actuator (VSA) plays an important role for achieving safety and robustness for robots to physically interact with environments. This article proposes a structure-controlled approach in developing a new variable stiffness robotic joint with the merits of compactness, high stiffness, and high displacement-to-stiffness ratio. Unlike the common methods of using antagonist springs and lever concept, the structure-controlled approach achieves stiffness variation through the adjustment of mechanical structure configuration inside the actuator. Specifically, the stiffness variation is realized by changing the effective second moment of area through rotating a combination of leaf flexure hinges arranged in a radial configuration. A range of configurations are studied and the configuration we identified has the advantages of minimum unbalanced twists in the mechanism while providing high transmission torque, large stiffness, range and minimum lateral buckling effects. The performance characteristics are accomplished through a novel variable stiffness mechanism and a position-based control strategy for both position and torque control modes. A prototype system was implemented to verify the characteristic and performance of the design concept. It demonstrated that the new VSA system is effective for realising independent joint-stiffness and joint-position control of robot joints.
INVESTIGAÇÃO SOBRE O CONHECIMENTO DOS PROFISSIONAIS DE MARKETING EM RELAÇÃO A FINANÇAS

O estudo tem por objetivo investigar o nivel de conhecimento dos profissionais de marketing em relacao a financas e, adicionalmente, analisar como os profissionais da area analisam e mensuram a performance dos investimentos de marketing, para contribuir com o objetivo de maximizacao do retorno. Foi elaborado uma survey aplicada a profissionais da area marketing, com a obtencao de 27 respondentes para a analise final. Com base nos resultados, e possivel verificar que mesmo com a importância da analise dos investimentos em marketing em termos financeiros, os profissionais da area possuem dificuldades para a mediacao dos retornos dos investimentos, sugerindo a necessidade de uma melhor preparacao e alinhamento com a area de financas.
Physiological and pathophysiological significance of erythrocyte senescence, density and deformability: Important but unnoticed trinity

Erythrocytes are the most abundant cells and acting as carrier, deliverer and sensor of oxygen. Therefore, human erythrocyte behavior is a fundamental health indicator. Lifespan of circulating erythrocytes is about 120 days, and hence erythrocyte population shows distribution of aging. The physicochemical property of hemoglobin (Hb) influences the density and the deformability of erythrocytes. Senescent erythrocytes are dense, shrunk, less deformable and finally removed from circulation by several mechanisms such as phagocytosis and eryptosis. Earlier removal leads to the short lifespan of less deformable erythrocytes. Herein, anemic and cardiometabolic diseases are presented in order to consider the relationship between the agedependent erythrocyte density and deformability. The main cause of impaired deformability in sickle cell disease is the presence of dense cells characterized by cellular dehydration and polymerization of sickle Hb, that in hereditary hemolytic diseases is cellular geometry, and that in iron deficiency anemia is an increased susceptibility of lighter erythrocytes to the oxidative stress. Diabetic erythrocytes show seemingly normal density and reduced deformability under the enhanced oxidative stress. This article addresses that distribution profiles of both erythrocyte density and deformability are important for better understanding of the encapsulated Hb interacting membrane of erythrocytes showing individual aging.
Communal Motives Towards Parents and Perceived Self-Parent Agreement

Associations have been found between communal motives to feel warmly connected with others and perceiving similarities between self and others, presumably because perceived self-other similarity helps satisfy those motives. The current research examined the phenomenon in a novel and consequential context: Young adults’ perceived self-parent agreement regarding the values or preferences the young adult should prioritize in making life decisions. First, we describe an unregistered study in which 2,071 undergraduates from eight countries reported the qualities (e.g., attractive, outspoken) they prioritized when evaluating a potential spouse and the qualities they believed their parents would want them to prioritize. Second, we describe a registered study in which 1,141 undergraduates from five countries reported their basic values (e.g., security, hedonism) and the values they believed their parents would want them to prioritize. As hypothesized, stronger communal motives towards parents predicted greater self-parent agreement (regardless of the order in which students completed the measures). We also introduce a method for differentiating sources of individual differences in perceived agreement reflecting covariation between normative (average) and/or distinctive (non-normative) components of participants’ profiles of self- and other-ratings. Analyzing these distinct components of agreement suggested that communal motives were associated more strongly with students projecting their values onto their parents than with students introjecting parents’ values onto themselves, although both mechanisms—projection and introjection—likely played a role.
Evaluating the Effect of Addition of Titanium Dioxide Nanoparticle on Some Physical Properties of Flowable Composite Resin

Objective: The flowable dental composite resins were introduced to the dental specialty because of the advantages they possess over the conventional composite resins. The use of nanotechnology in the dentistry field is one of the growing innovations in recent years. The aim of the present study was to evaluate certain physical properties of flowable dental composite after incorporation of titanium dioxide nanoparticles (TiO2NPs). Materials and Method: In the present study, TiO2NPs at 1.25 % and 2.5% concentrations were added to flowable composite, while the unmodified composite was used as control. Then the physical properties of the control and modified composite resins, including flowablity, radiopacity and water sorption and solubility were tested. Data were analyzed with One way ANOVA, using SPSS 20. Results: The results showed that there was statistically significant difference among the tested groups regarding flowability and radiopacity (P<0.05). In addition, there was no significant difference among control group and TiO2 modified groups regarding water sorption and solubility. Conclusion: Based on the results of the present study, a flowable dental composite was successfully reinforced with TiO2. Incorporation of small weight percentages of this nanofiller exhibited properties similar to the control material regarding water sorption and solubility. The flowability was slightly reduced and radiopacity of the reinforced composites was increased, these changes were acceptable for clinical applications and below ISO standards limits.
AB0413 INVESTIGATION OF THE ASSOCIATION OF CARDIOVASCULAR EVENTS AND ANTI- SS-A ANTIBODIES AS RISK OF DEVELOPMENT IN PATIENTS WITH LUPUS NEPHRITIS FROM THE LUNA REGISTRY: A CROSS-SECTIONAL STUDY

Cardiovascular disease(CVD) has been identified as a major cause of morbidity and mortality in patients with lupus nephritis(LN)1) 2). There is a clear causal relationship between the onset of neonatal lupus (cardiac complications) and SS-A antibodies3) 4), but no association has been reported in adults. In recent years, there have been reports from overseas that suggest the association between CVD and anti-SS-A antibody in adult systemic lupus erythematosus (SLE) patients5) 6). So far, no studies have not been reported to evaluate the relationship between anti-SS-A antibody and the risk of developing CVD in LN in a large cohort of patients with SLE in Japan.The aim of this study was to evaluate the association between anti-SS-A antibody and the risk of developing CVD in LN patients using a multicenter registration study [Lupus registry of nationwide institution (LUNA)] in Japan.We identified 931 patients diagnosed with SLE in the Lupus registry of nationwide institution (LUNA), and further identified 275 LN patients with known the presence or absence of both development of CVD and presence of anti-SS-A antibody. We defined the exposure factor as anti-SS-A antibody, and the outcome as CVD. SELENA-SLEDAI score (at diagnosis), eGFR <60%, HbA1c, BMI, and steroid pulse treatment history were used as confounding factors and we analyzed using logistic regression analysis.We found 68 patients (24.7%) complicated with CVD, including percarditis (7.3%), cerebrovascular disorder (6.2%), peripheral Arterial Disease (6.2%), Ischemic heart disease (2.9%),venous thromboembolism (2.9%),pulmonary hypertension (1.5%), vulvular heart disease (1.1%), and cardiomyopathy (0.4%). In univariate analysis, there was no significant difference in the occurrence of CVD depending on the presence or absence of anti-SS-A antibody (p = 0.32), and the results of multivariate analysis showed no significant difference in anti-SS-A antibody [p = 0.23, odds: 0.41, 95% confidence interval (0.09-1.89)]. The association between anti-SS-A antibody and the development of CVD in LN patients in Japan has not been identified. [1]Lupus. 2000;9(3):166-9[2]Arthritis Rheum.2019 Mar;71(3):403-410,[3]J Intern Med 265:653-662, 2009[4]Nat Clin Pract Rheumatol 5:139-148, 2009[5]Ann Rheum Dis 1990;49:627-629[6]Chest. 2018 Jan;153(1):143-151. Doi:None declared
Primary neuroendocrine carcinoma of the breast with markedly elevated alpha-fetoprotein: a case report

Primary neuroendocrine carcinoma of the breast (PNECB) is a relatively rare subtype of breast cancer that has seldom been studied since its initial description. At present, the pathogenesis of the disease remains unknown, and there exit no specific clinical guidelines or specifications for its diagnosis and treatment. In addition, alpha-fetoprotein (AFP)—despite being a tumor marker—plays a small role in the diagnosis of breast cancer. Here, we explain the diagnosis and treatment of primary neuroendocrine (NE) breast carcinoma in a patient with a markedly elevated level of AFP. A 52-year-old woman visited our hospital, reporting she had palpated a nodule in her left breast 1 day before admission. After ultrasonographic detection of the hypoechoic lesion in her left breast—which was classified according to the Breast Imaging Reporting and Data System (BI-RADS) as grade 4C—and the abnormal enlargement of her left axillary lymph nodes, the patient was referred to our department as a case of malignant breast tumor. Meanwhile, the level of the tumor marker AFP was found to be over 1,210 ng/mL (0–7 ng/mL). And the patient had no past medical history of increased AFP, abnormal liver function, or gastrointestinal tumor. Analysis of the surgical specimens obtained from the left breast showed grade II invasive ductal carcinoma with NE differentiation. After discussion with a multidisciplinary team (MDT), according to the results of pathological and immunohistochemical examinations, the patient was diagnosed with PNECB. Due to axillary lymph node metastasis, she received combined chemotherapy with cyclophosphamide, epirubicin, and paclitaxel on postoperative day 13. Up to now, six cycles of chemotherapy have been successfully administered, with no evidence of adverse reactions. AFP levels were all above 1,210 ng/mL during chemotherapy. At the time of submission, the patient has been followed up for 10 months and there has been axillary lymph node metastasis, but no tumors in other parts have been found. Therefore, we think that the increase in AFP levels is related to the occurrence and poor prognosis of PNECB.
Study on Q-value prediction ahead of tunnel excavation face using recurrent neural network

Exact rock classification helps suitable support patterns to be installed. Face mapping is usually conducted to classify the rock mass using RMR (Rock Mass Ration) or Q values. There have been several attempts to predict the grade of rock mass using mechanical data of jumbo drills or probe drills and photographs of excavation surfaces by using deep learning. However, they took long time, or had a limitation that it is impossible to grasp the rock grade in ahead of the tunnel surface. In this study, a method to predict the Q value ahead of excavation surface is developed using recurrent neural network (RNN) technique and it is compared with the Q values from face mapping for verification. Among Q values from over 4,600 tunnel faces, 70% of data was used for learning, and the rests were used for verification. Repeated learnings were performed in different number of learning and number of previous excavation surfaces utilized for learning. The coincidence between the predicted and actual Q values was compared with the root mean square error (RMSE). RMSE value from 600 times repeated learning with 2 prior excavation faces gives a lowest values. The results from this study can vary with the input data sets, the results can help to understand how the past ground conditions affect the future ground conditions and to predict the Q value ahead of the tunnel excavation face.
The effect of change in soil volume on organic matter distribution in a volcanic ash soil

Volcanic ash soil contains large stocks of organic matter per unit area. A large proportion of organic matter is stored in the subsoil; therefore, a thorough understanding of its vertical distribution is needed to predict the effects of change in climate and land use. Faunal bioturbation is often cited as the dominant process that affects the vertical distribution of organic matter. An additional but often overlooked process is change in the volume of the soil. Such change might affect the vertical distribution of organic matter by changing the position of the soil surface, which can affect the soil‐forming processes related to depth, such as weathering, decomposition, bioturbation and rooting. We calculated the change in volume with geochemical mass balance equations, and showed the effect of change in soil volume on the vertical distribution of organic matter using a dynamic model. Then we evaluated the plausibility of the model concept with an independent model for parameter identification and through a model sensitivity analysis. Results show that volume change is a major soil‐forming process that determines the vertical distribution of organic matter in volcanic ash soil as the active bioturbation zone moves upwards in response to soil thickening.
Analysis of Charge Transfer Potential Barrier in Pinned Photodiode of CMOS Image Sensors

The full well capacity (FWC) and the pinned photodiode (PPD) capacitance of four-transistor pixel in a CMOS image sensor are reported to be dependent on the potential barrier offered by transfer gate (TG). The asymmetrical TG channel potential increases the effective potential barrier, thereby increasing the FWC and decreasing the feedforward charges. At the PPD-TG interface, a potential pocket can exist, the influence of which is minimized to lower the image lag. In the presence of a potential pocket, two charge transfer potential barriers (CTPBs) are present in the charge transfer path. The combined effect of the two potential barriers is higher than the single barrier reported in the literature. The CTPB depends on the number of integrated PPD charges and influences the FWC and PPD capacitance. The improved PPD capacitance model matches well with the measurement results when the influence of potential pocket on CTPB is considered.
Mass Transfer and Conservation from a Finite Source to an Infinite Media

Abstract A theoretical/computational approach has been developed to satisfy mass transfer rates and molar fraction constraints simultaneously when modeling mass transfer from a finite source towards an infinite surrounding media. The procedure is based on using a mass balance of individual molecular species coupled with individual mass transfer rates. Since the surrounding media is assumed insoluble in the finite media, the total number of moles transferred across the interface is computed on the basis of modified molar fractions of the transferring species. Two simple examples are shown: the first is an evaporating droplet in air and the second example is a droplet being dissolved in water. These examples have very large differences in time scales and illustrate the versatility and accuracy of the computational procedure.
Emerging and multifaceted role of neutrophils in lung cancer

It has long been recognized that cigarette smoking is a shared risk factor for lung cancer and the debilitating lung disease, chronic obstructive pulmonary disease (COPD). As the severity of COPD increases, so does the risk for developing lung cancer, independently of pack years smoked. Neutrophilic inflammation increases with COPD severity and anti-inflammatories such as non-steroidal anti-inflammatory drugs (NSAIDs) can modulate neutrophil function and cancer risk. This review discusses the biology of tumour associated neutrophils (TANs) in lung cancer, which increase in density with tumour progression, particularly in smokers with non-small cell lung cancer (NSCLC). It is now increasingly recognized that neutrophils are responsive to the tumour microenvironment (TME) and polarize into distinct phenotypes that operate in an anti- (N1) or pro-tumorigenic (N2) manner. Intriguingly, the emergence of the pro-tumorigenic N2 phenotype increases with tumour growth, to suggest that cancer cells and the surrounding stroma can re-educate neutrophils. The neutrophil itself is a potent source of reactive oxygen species (ROS), arginase, proteases and cytokines that paradoxically can exert a potent immunosuppressive effect on lymphocytes including cytotoxic T cells (CTLs). Indeed, the neutrophil to lymphocyte ratio (NLR) is a systemic biomarker that is elevated in lung cancer patients and prognostic for poor survival outcomes. Herein, we review the molecular mechanisms by which neutrophil derived mediators can suppress CTL function. Selective therapeutic strategies designed to suppress pathogenic neutrophils in NSCLC may cooperate with immune checkpoint inhibitors (ICI) to increase CTL killing of cancer cells in the TME.