Miracle-dz/UniFAR-FTUs huggingface dataset:
Adenomatoid odontogenic tumor: An unusual presentation

Adenomatoid odontogenic tumor (AOT) is considered to be an uncommon odontogenic tumor which occurs most commonly in an unerupted maxillary canine. Some investigators consider it to be a benign neoplasm, while others consider it to be a hamartomatous malformation due to its limited size and to the lack of recurrence in most of the cases. The specific stimulus that triggers proliferation of progenitor cells of AOT is unknown, as in case of all odontogenic tumors. As it is exclusively associated with an unerupted or impacted tooth and the cytological resemblance to the dental lamina and enamel organ, it can be considered as odontogenic in origin. The present case highlights the unusual presentation of AOT which is not associated with an impacted or unerupted tooth.
Low Effort and Privacy - How Textual Priming Affects Privacy Concerns of Email Service Users

The integration of digital applications and systems into the everyday routines of users is inevitably progressing. Ubiquitous and invisible computing requires the perspective of a new user and the inclusion of insights from related disciplines such as behavioral economics or social psychology. This paper takes up the call for research by Dinev et al. (2015) and examines the influence of textual priming elements on the privacy concerns of users of email accounts. The paper provides an operationalization of a privacy concern as a dependent variable, incorporated in an online experiment with 276 participants. The results show highly significant differences between the groups investigated by the experiment. Specifically, the users of different email providers show interesting results. While users of Gmail show no significant reaction in the experiment, users of other email providers show significant differences in the experimental setting.
YouTube Children's Videos: Development of a Genre under Algorithm

YouTube children’s video has been claimed to have a preponderance of violent, disturbing or otherwise inappropriate content. To assess this claim, we conduct a content analysis of a sample of children’s videos published between January 2016 and December 2018. Our analysis reveals an evolving ecosystem involving a variety of production modes and messages which nonethe-less bears the heavy imprint of the algorithm-centered commercial incentives of marketing to children and at-tracting YouTube advertising. Hence, while content formerly causing public concern appears to be effectively policed at this juncture, algorithmic incentives do appear to distort children’s content in potentially un-healthy ways.
Evaluating Cache Contention Prediction – A Ranking Based Approach –

—In multi-core processor systems, processor caches are generally shared among multiple processor cores. As a consequence, co-scheduled applications constantly displace each others data from the shared cache, which is called cache contention . As cache contention degrades application performance, efforts have been made to predict cache contention and then select application co-schedules that minimize interference. Several such methods have been proposed in the past. However, those methods have rarely been compared to one another, as an appropriate evaluation framework has been missing so far. In this paper, I present a framework to precisely evaluate cache contention prediction techniques and compare them to one another. An implementation of the framework is licensed under GPLv3 and can be downloaded at http://www.ldv. ei.tum. de/cachecontention.
High-dose vitamin C enhances cancer immunotherapy

Vitamin C promotes anticancer adaptive immunity and enhances efficacy of immune checkpoint therapy. A vitamin boost for immunotherapy Despite some controversy over the years, it is gradually becoming clear that vitamin C has some anticancer effects, albeit only when given intravenously and at sufficiently high doses. However, earlier studies evaluating the anticancer effects of vitamin C have used immunodeficient mice and therefore only examined its direct effects on tumors. By studying immunocompetent mouse models of cancer, Magri et al. determined that the vitamin’s effects were much stronger in the presence of an intact immune system and that it cooperated with checkpoint immunotherapy. These findings suggest a promising approach to combination treatment, which now needs to be tested in patients. Vitamin C (VitC) is known to directly impair cancer cell growth in preclinical models, but there is little clinical evidence on its antitumoral efficacy. In addition, whether and how VitC modulates anticancer immune responses is mostly unknown. Here, we show that a fully competent immune system is required to maximize the antiproliferative effect of VitC in breast, colorectal, melanoma, and pancreatic murine tumors. High-dose VitC modulates infiltration of the tumor microenvironment by cells of the immune system and delays cancer growth in a T cell–dependent manner. VitC not only enhances the cytotoxic activity of adoptively transferred CD8 T cells but also cooperates with immune checkpoint therapy (ICT) in several cancer types. Combination of VitC and ICT can be curative in models of mismatch repair–deficient tumors with high mutational burden. This work provides a rationale for clinical trials combining ICT with high doses of VitC.
Liver macrophages inhibit the endogenous antioxidant response in obesity-associated insulin resistance

Liver macrophages exacerbate oxidative stress in obesity-induced hepatic steatosis by blocking the endogenous antioxidant response. Muted macrophages Obesity and impaired insulin sensitivity are known to predispose to nonalcoholic fatty liver disease. Azzimato et al. show that liver macrophages (LMs) contribute to a weakened antioxidant response to hepatic lipid accumulation in ob/ob mice fed a high-fat diet. LMs in the metabolically dysregulated animals showed increased transcription of miR-144, a microRNA that impaired the LM antioxidant response by targeting nuclear factor erythroid 2–related factor 2 (NRF2). Targeting this microRNA restored the LM response to oxidative damage in human 3D liver cell culture and improved insulin resistance in obese mice. miR-144 was also up-regulated in obese insulin-resistant humans, suggesting the potential clinical relevance of the mechanism. Obesity and insulin resistance are risk factors for nonalcoholic fatty liver disease (NAFLD), the most common chronic liver disease worldwide. Because no approved medication nor an accurate and noninvasive diagnosis is currently available for NAFLD, there is a clear need to better understand the link between obesity and NAFLD. Lipid accumulation during obesity is known to be associated with oxidative stress and inflammatory activation of liver macrophages (LMs). However, we show that although LMs do not become proinflammatory during obesity, they display signs of oxidative stress. In livers of both humans and mice, antioxidant nuclear factor erythroid 2–related factor 2 (NRF2) was down-regulated with obesity and insulin resistance, yielding an impaired response to lipid accumulation. At the molecular level, a microRNA-targeting NRF2 protein, miR-144, was elevated in the livers of obese insulin-resistant humans and mice, and specific silencing of miR-144 in murine and human LMs was sufficient to restore NRF2 protein expression and the antioxidant response. These results highlight the pathological role of LMs and their therapeutic potential to restore the impaired endogenous antioxidant response in obesity-associated NAFLD.
CD30 expression and survival in posttransplant lymphoproliferative disorders

Abstract Background: Post-transplant lymphoproliferative disorder (PTLD) is a rare but life-threatening complication of transplantation. For refractory and relapsed PTLD new therapies are needed, such as the antibody-drug conjugate brentuximab vedotin that targets CD30. There is limited knowledge of CD30 expression in various subtypes of PTLD and its correlation to clinicopathological features. Therefore, we studied the expression of CD30 in PTLD following solid organ transplantation and correlated CD30 expression to PTLD subtype, Epstein-Barr virus (EBV)-status, intratumoral regulatory T-cells (Tregs), clinical features, and outcome. Methods: We included 50 cases of PTLD from a nation-wide study of PTLDs following solid organ transplantation in Sweden. The tumor biopsies were reevaluated, and clinical data were collected. CD30 expression on tumor cells was analyzed by immunohistochemistry with the clone Ber-H2. Thirty-one cases were stained with clone 236 A/E7 for detection of forkhead box protein 3 (FoxP3, a Treg biomarker). Results: The case series consisted of 6% polymorphic, 88% monomorphic, and 6% Hodgkin lymphoma-like PTLDs and 53% of the cases were EBV+. Overall, 70% (35/50) of the PTLDs were CD30+ (≥1% CD30+ tumor cells) and 30% (15/50) were CD30-. All polymorphic PTLDs (n = 3) and Hodgkin lymphomas (n = 3), 88% (14/16) of non-germinal center type of diffuse large B-cell lymphoma (DLBCL), and 75% (9/12) of T-cell PTLDs were CD30+ whereas all germinal center-type of DLBCL (n = 5) and Burkitt type PTLD (n = 2) were CD30-. CD30+ PTLD tended to be EBV+ more frequently (p = .07) and occurred earlier posttransplant (2.1 vs. 8.2 years, p = .01) than CD30- PTLD. Type of transplant and localization of the tumor did not differ between the groups except that CNS engagement was more common in CD30- PTLD (p = .02). CD30-status was not associated with presence of intratumoral Tregs or overall survival. Conclusion: Expression of CD30 varied with PTLD subtype. There was no association between CD30 and survival, regardless of subtype.
Adjustments in fatty acid composition is a mechanism that can explain resilience to marine heatwaves and future ocean conditions in the habitat‐forming seaweed Phyllospora comosa (Labillardière) C.Agardh

Marine heatwaves are extreme events that can have profound and lasting impacts on marine species. Field observations have shown seaweeds to be highly susceptible to marine heatwaves, but the physiological drivers of this susceptibility are poorly understood. Furthermore, the effects of marine heatwaves in conjunction with ocean warming and acidification are yet to be investigated. To address this knowledge gap, we conducted a laboratory culture experiment in which we tested the growth and physiological responses of Phyllospora comosa juveniles from the southern extent of its range (43–31°S) to marine heatwaves, ocean warming and acidification. We used a ‘collapsed factorial design’ in which marine heatwaves were superimposed on current (today's pH and temperature) and future (pH and temperature projected by 2100) ocean conditions. Responses were tested both during the heatwaves, and after a 7‐day recovery period. Heatwaves reduced net photosynthetic rates in both current and future conditions, while respiration rates were elevated under heatwaves in the current conditions only. Following the recovery period, there was little evidence of heatwaves having lasting negative effects on growth, photosynthesis or respiration. Exposure to heatwaves, future ocean conditions or both caused an increase in the degree of saturation of fatty acids. This adjustment may have counteracted negative effects of elevated temperatures by decreasing membrane fluidity, which increases at higher temperatures. Furthermore, P. comosa appeared to down‐regulate the energetically expensive carbon dioxide concentrating mechanism in the future conditions with a reduction in δ13C values detected in these treatments. Any saved energy arising from this down‐regulation was not invested in growth and was likely invested in the adjustment of fatty acid composition. This adjustment is a mechanism by which P. comosa and other seaweeds may tolerate the negative effects of ocean warming and marine heatwaves through benefits arising from ocean acidification.
A Near-infrared Turn-on Fluorescent Sensor for Sensitive and Specific Detection of Albumin from Urine Samples

A readily synthesizable fluorescent probe DMAT-π-CAP was evaluated for sensitive and selective detection of human serum albumin (HSA). DMAT-π-CAP showed selective turn-on fluorescence at 730 nm in the presence of HSA with more than 720-fold enhancement in emission intensity ([DMAT-π-CAP] = 10 μM), and rapid detection of HSA was accomplished in 3 s. The fluorescence intensity of DMAT-π-CAP was shown to increase in HSA concentration-dependent manner (Kd = 15.4 ± 3.3 μM), and the limit of detection of DMAT-π-CAP was determined to be 10.9 nM (0.72 mg/L). The 1:1 stoichiometry between DMAT-π-CAP and HSA was determined, and the displacement assay revealed that DMAT-π-CAP competes with hemin for the unique binding site, which rarely accommodates drugs and endogenous compounds. Based on the HSA-selective turn-on NIR fluorescence property as well as the unique binding site, DMAT-π-CAP was anticipated to serve as a fluorescence sensor for quantitative detection of the HSA level in biological samples with minimized background interference. Thus, urine samples were directly analyzed by DMAT-π-CAP to assess albumin levels, and the results were comparable to those obtained from immunoassay. The similar sensitivity and specificity to the immunoassay along with the simple, cost-effective, and fast detection of HSA warrants practical application of the NIR fluorescent albumin sensor, DMAT-π-CAP, in the analysis of albumin levels in various biological environments.
Tetracationic Bis‐Triarylborane 1,3‐Butadiyne as a Combined Fluorimetric and Raman Probe for Simultaneous and Selective Sensing of Various DNA, RNA, and Proteins

Abstract A bis‐triarylborane tetracation (4‐Ar2B‐3,5‐Me2C6H2)‐C≡C−C≡C‐(3,5‐Me2C6H2‐4‐BAr2 [Ar=(2,6‐Me2‐4‐NMe3‐C6H2)+] (24+) shows distinctly different behaviour in its fluorimetric response than that of our recently published bis‐triarylborane 5‐(4‐Ar2B‐3,5‐Me2C6H2)‐2,2′‐(C4H2S)2–5′‐(3,5‐Me2C6H2‐4‐BAr2) (34+). Single‐crystal X‐ray diffraction data on the neutral bis‐triarylborane precursor 2 N confirm its rod‐like dumbbell structure, which is shown to be important for DNA/RNA targeting and also for BSA protein binding. Fluorimetric titrations with DNA/RNA/BSA revealed the very strong affinity of 24+ and indicated the importance of the properties of the linker connecting the two triarylboranes. Using the butadiyne rather than a bithiophene linker resulted in an opposite emission effect (quenching vs. enhancement), and 24+ bound to BSA 100 times stronger than 34+. Moreover, 24+ interacted strongly with ss‐RNA, and circular dichroism (CD) results suggest ss‐RNA chain‐wrapping around the rod‐like bis‐triarylborane dumbbell structure like a thread around a spindle, a very unusual mode of binding of ss‐RNA with small molecules. Furthermore, 24+ yielded strong Raman/SERS signals, allowing DNA or protein detection at ca. 10 nm concentrations. The above observations, combined with low cytotoxicity, efficient human cell uptake and organelle‐selective accumulation make such compounds intriguing novel lead structures for bio‐oriented, dual fluorescence/Raman‐based applications.
Drug compound screening in single and integrated multi-organoid body-on-a-chip systems

Current practices in drug development have led to therapeutic compounds being approved for widespread use in humans, only to be later withdrawn due to unanticipated toxicity. These occurrences are largely the result of erroneous data generated by in vivo and in vitro preclinical models that do not accurately recapitulate human physiology. Herein, a human primary cell- and stem cell-derived 3D organoid technology is employed to screen a panel of drugs that were recalled from market by the FDA. The platform is comprised of multiple tissue organoid types that remain viable for at least 28 days, in vitro. For many of these compounds, the 3D organoid system was able to demonstrate toxicity. Furthermore, organoids exposed to non-toxic compounds remained viable at clinically relevant doses. Additional experiments were performed on integrated multi-organoid systems containing liver, cardiac, lung, vascular, testis, colon, and brain. These integrated systems proved to maintain viability and expressed functional biomarkers, long-term. Examples are provided that demonstrate how multi-organoid ‘body-on-a-chip’ systems may be used to model the interdependent metabolism and downstream effects of drugs across multiple tissues in a single platform. Such 3D in vitro systems represent a more physiologically relevant model for drug screening and will likely reduce the cost and failure rate associated with the approval of new drugs.
A high consumption of tomato and lycopene is associated with a lower risk of cancer mortality: results from a multi-ethnic cohort

Abstract Objective: We investigated the association between the consumption of tomato and lycopene and cancer mortality among US adults. Design: Prospective. Setting: The National Health and Nutrition Examination Survey (1999–2010). Participants: Participants with estimated dietary data on tomato and lycopene consumption were included. Outcome data up until 31 December 2011 were also ascertained. Cox proportional hazard regression models were used to relate baseline tomato and lycopene consumption with cancer mortality. We conducted a competing-risk survival analysis to account for deaths from other causes. Results: Adjusted Cox models showed that tomato and lycopene intake were inversely related (hazard ratio (95 % CI)) to cancer mortality: 0·86 (0·81, 0·92) and 0·79 (0·74, 0·82), respectively. In the adjusted competing-risk models, the sub-hazard ratios (95 % CI) were 0·89 (0·83, 0·94) and 0·82 (0·78, 0·86) for cancer mortality for tomato and lycopene intake, respectively. No significant interaction was found for the association between tomato and lycopene consumption and cancer mortality while comparing older (aged >50 years) v. younger adults (Pinteraction > 0·173 for all) and obese v. non-obese (Pinteraction > 0·352 for all). Conclusions: Our results demonstrate the potential beneficial effects of a high dietary intake of tomato and lycopene on cancer death. Further prospective studies are needed to explore the association.
A Review of a Collaborative Online International Learning

Globalization has exacerbated the need for engineers who are capable of working in a cross-cultural environment. Multinational companies continuously seek for engineers who are intercultural competent and capable of conducting business successfully in a cross-cultural environment. However, the skills required to be successful in a multicultural environment are difficult to be taught in the traditional classroom. One of the most effective approaches to acquiring intercultural competence skills is through experiential learning. It is, therefore, not surprising that most colleges all over the world are devoting resources towards the internationalization of their classrooms and the campus community. This ensures that students are provided with a diverse environment so they can learn from, and about diverse cultures and develop their intercultural competence skills. Another effective approach is the study abroad programs, which require students to travel to different countries. However, these approaches require a lot of resources that may not be available to the poor and needy students. Therefore, a more cost-effective approach, such as Collaborative Online International Learning (COIL) is receiving a lot of attention in recent years. In this study, some engineering technology students participated in an 8-week long COIL program with materials engineering students from different languacultural and geographical region. This study reviews the results and compares the performance of the COIL students with those who were not involved. It was observed that the COIL teams performed significantly better on the project work.
Adaptive Local Linear Discriminant Analysis

Dimensionality reduction plays a significant role in high-dimensional data processing, and Linear Discriminant Analysis (LDA) is a widely used supervised dimensionality reduction approach. However, a major drawback of LDA is that it is incapable of extracting the local structure information, which is crucial for handling multimodal data. In this article, we propose a novel supervised dimensionality reduction method named Adaptive Local Linear Discriminant Analysis (ALLDA), which adaptively learns a k-nearest neighbors graph from data themselves to extract the local connectivity of data. Furthermore, the original high-dimensional data usually contains noisy and redundant features, which has a negative impact on the evaluation of neighborships and degrades the subsequent classification performance. To address this issue, our method learns the similarity matrix and updates the subspace simultaneously so that the neighborships can be evaluated in the optimal subspaces where the noises have been removed. Through the optimal graph embedding, the underlying sub-manifolds of data in intra-class can be extracted precisely. Meanwhile, an efficient iterative optimization algorithm is proposed to solve the minimization problem. Promising experimental results on synthetic and real-world datasets are provided to evaluate the effectiveness of proposed method.
Evidence for Dietary Agmatine Sulfate Effectiveness in Neuropathies Associated with Painful Small Fiber Neuropathy. A Pilot Open-Label Consecutive Case Series Study

Peripheral neuropathies associated with painful small fiber neuropathy (SFN) are complex conditions, resistant to treatment with conventional medications. Previous clinical studies strongly support the use of dietary agmatine as a safe and effective treatment for neuropathic pain. Based on this evidence, we conducted an open-label consecutive case series study to evaluate the effectiveness of agmatine in neuropathies associated with painful SFN (Study Registry: ClinicalTrials.gov, System Identifier: NCT01524666). Participants diagnosed with painful SFN and autonomic dysfunctions were treated with 2.67 g/day agmatine sulfate (AgmaSet® capsules containing G-Agmatine® brand of agmatine sulfate) for a period of 2 months. Before the beginning (baseline) and at the end of the treatment period, participants answered the established 12-item neuropathic pain questionnaire specifically developed to distinguish symptoms associated with neuropathy and to quantify their severity. Secondary outcomes included other treatment options and a safety assessment. Twelve patients were recruited, and 11 patients—8 diagnosed with diabetic neuropathy, two with idiopathic neuropathy and one with inflammatory neuropathy—completed the study. All patients showed improvement in neuropathic pain to a varied extent. The average decrease in pain intensity was 26.0 rating points, corresponding to a 46.4% reduction in overall pain (p < 0.00001). The results suggest that dietary agmatine sulfate has a significant effect in reducing neuropathic pain intensity associated with painful SFN resistant to treatment with conventional neuropathic pain medications. Larger randomized placebo-controlled studies are expected to establish agmatine sulfate as a preferred treatment.