Miracle-dz/UniFAR-FTUs huggingface dataset:
Involvement of CXCL1/CXCR2 During Microglia Activation Following Inflammation-Sensitized Hypoxic-Ischemic Brain Injury in Neonatal Rats

Background: Microglia are key mediators of inflammation during perinatal brain injury. As shown experimentally after inflammation-sensitized hypoxic ischemic (HI) brain injury, microglia are activated into a pro-inflammatory status 24 h after HI involving the NLRP3 inflammasome pathway. The chemokine (C-X-C motif) ligand 1 (CXCL1), and its cognate receptor, CXCR2, have been shown to be involved in NLRP3 activation, although their specific role during perinatal brain injury remains unclear. In this study we investigated the involvement of CXCL1/CXCR2 in brain tissue and microglia and brain tissue after inflammation-sensitized HI brain injury of newborn rats. Methods: Seven-day old Wistar rat pups were either injected with vehicle (NaCl 0.9%) or E. coli lipopolysaccharide (LPS), followed by left carotid ligation combined with global hypoxia (8% O2 for 50 min). Pups were randomized into four different treatment groups: (1) Sham group (n = 21), (2) LPS only group (n = 20), (3) Veh/HI group (n = 39), and (4) LPS/HI group (n = 42). Twenty-four hours post hypoxia transcriptome and gene expression analysis were performed on ex vivo isolated microglia cells in our model. Additionally protein expression was analyzed in different brain regions at the same time point. Results: Transcriptome analyses showed a significant microglial upregulation of the chemokine CXCL1 and its receptor CXCR2 in the LPS/HI group compared with the other groups. Gene expression analysis showed a significant upregulation of CXCL1 and NLRP3 in microglia cells after inflammation-sensitized hypoxic-ischemic brain injury. Additionally, protein expression of CXCL1 was significantly upregulated in cortex of male pups from the LPS/HI group. Conclusion: These results indicate that the CXCL1/CXCR2 pathway may be involved during pro-inflammatory microglia activation following inflammation-sensitized hypoxic-ischemic brain injury in neonatal rats. This may lead to new treatment options altering CXCR2 activation early after HI brain injury.
Pro- and Anti-Inflammatory Responses in Severe COVID-19-Induced Acute Respiratory Distress Syndrome—An Observational Pilot Study

Objectives The severity of Coronavirus Disease 2019 (COVID-19) is largely determined by the immune response. First studies indicate altered lymphocyte counts and function. However, interactions of pro- and anti-inflammatory mechanisms remain elusive. In the current study we characterized the immune responses in patients suffering from severe COVID-19-induced acute respiratory distress syndrome (ARDS). Methods This was a single-center retrospective study in patients admitted to the intensive care unit (ICU) with confirmed COVID-19 between March 14th and May 28th 2020 (n = 39). Longitudinal data were collected within routine clinical care, including flow-cytometry of lymphocyte subsets, cytokine analysis and growth differentiation factor 15 (GDF-15). Antibody responses against the receptor binding domain (RBD) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike protein were analyzed. Results All patients suffered from severe ARDS, 30.8% died. Interleukin (IL)-6 was massively elevated at every time-point. The anti-inflammatory cytokine IL-10 was concomitantly upregulated with IL-6. The cellular response was characterized by lymphocytopenia with low counts of CD8+ T cells, natural killer (NK) and naïve T helper cells. CD8+ T and NK cells recovered after 8 to 14 days. The B cell system was largely unimpeded. This coincided with a slight increase in anti-SARS-CoV-2-Spike-RBD immunoglobulin (Ig) G and a decrease in anti-SARS-CoV-2-Spike-RBD IgM. GDF-15 levels were elevated throughout ICU treatment. Conclusions Massively elevated levels of IL-6 and a delayed cytotoxic immune defense characterized severe COVID-19-induced ARDS. The B cell response and antibody production were largely unimpeded. No obvious imbalance of pro- and anti-inflammatory mechanisms was observed, with elevated GDF-15 levels suggesting increased tissue resilience.
Caffeine Targets G6PDH to Disrupt Redox Homeostasis and Inhibit Renal Cell Carcinoma Proliferation

Glucose-6-phosphate dehydrogenase (G6PDH) is the rate-limiting enzyme in the pentose phosphate pathway (PPP) and plays a crucial role in the maintenance of redox homeostasis by producing nicotinamide adenine dinucleotide phosphate (NADPH), the major intracellular reductant. G6PDH has been shown to be a biomarker and potential therapeutic target for renal cell carcinoma (RCC). Here, we report a previously unknown biochemical mechanism through which caffeine, a well-known natural small molecule, regulates G6PDH activity to disrupt cellular redox homeostasis and suppress RCC development and progression. We found that caffeine can inhibit G6PDH enzymatic activity. Mechanistically, caffeine directly binds to G6PDH with high affinity (KD = 0.1923 μM) and competes with the coenzyme NADP+ for G6PDH binding, as demonstrated by the decreased binding affinities of G6PDH for its coenzyme and substrate. Molecular docking studies revealed that caffeine binds to G6PDH at the structural NADP+ binding site, and chemical cross-linking analysis demonstrated that caffeine inhibits the formation of dimeric G6PDH. G6PDH inhibition abrogated the inhibitory effects of caffeine on RCC cell growth. Moreover, inhibition of G6PDH activity by caffeine led to a reduction in the intracellular levels of NADPH and reactive oxygen species (ROS), and altered the expression of redox-related proteins in RCC cells. Accordingly, caffeine could inhibit tumor growth through inhibition of G6PDH activity in vivo. Taken together, these results demonstrated that caffeine can target G6PDH to disrupt redox homeostasis and inhibit RCC tumor growth, and has potential as a therapeutic agent for the treatment of RCC.
A Study of Digital Market Status Using The Bibliometric Approach During Four Decades

Digital markets and digitalization were developed and were driven by online shopping, consumer lifestyles, and entrepreneurial spirit. It has been research yet the notion about digital market review study which showed the big picture using data from all countries. This research aims to map the status of the digital market studies indexed Scopus using the bibliometrics approach. The study conducted the bibliometrics method and analyzed research data using the service of analyzing search results from Scopus and the VOSviewer application. Research data of 337 academic documents published from 1976 to 2019 obtained from the Scopus database in March 2020. The results revealed about the most productive countries, research institutes, and individual researchers in digital market studies are the United States, Yale University, and Alexander Schachinger. The most intensive subject area and sources of publications in the digital market studies are computer science and Ink World. Besides, Spain was one of the collaborative researcher group map. This research proposed a convergence axis classification consisting of digital market studies to characterize the body of knowledge generated from four decades of studies: Management information system, E-commerce, Digital printing, Data, and Digitalization, abbreviated as MEDDD themes.
Financial Literacy and Mobile Payment Usage as Financial Inclusion Determinants

Indonesia is categorized as a low level of financial literacy and inclusion when it is being compared to the population. However, it could be risen by trending technology utilization, namely Financial Technology (Fintech), in which mobile payment (m-payment) is one of the instruments. Therefore, the objective of our research is to examine financial literacy and mobile payment usage as financial inclusion determinants. The model of this research involved three indicators of financial literacy and two variables of TAM to indicate m-payment usage as technology adoption. We used primary data by spreading the questionnaire to 100 respondents, in which using the Slovin formula to decide this research sample. Multiple linear regression is employed for data analysis using SPSS 23. The results proved that financial knowledge, financial behavior, perceived usefulness, and perceived ease of use of mobile payments have a positive impact and statistically significant to financial inclusion. Meanwhile, a negative impact and statistically insignificant financial attitudes to financial inclusion are proved as well. Overall, better financial literacy and high usage of mobile payment may increase financial inclusion, especially in the Jabodetabek area. Our research paper contributes valuable insights to the Indonesian government, financial technology association, and the users.
Reproduction in the jackals Canis adustus Sundevall, 1846, and Canis mesomelas Schreber, 1778 (Carnivora: Canidae), in Zimbabwe

Aspects of reproduction in two species of jackals (Canis adustus and Canis mesomelas)from Zimbabwe were studied using reproductive organs of jackal carcasses submitted for rabies testing or collected during culls. In C. adustus, parturition took place from early September to early October and in C. mesomelas during September and October. The female reproductive cycle was synchronized in both species. Eighty percent of females bred in any particular year and 20 % of those that bred lost their litters soon after birth. The average litter size at birth of C. adustus was 5.8 (n = 16, range 3–8) and of C. mesomelas 4.6 (n = 30, range 1–8). The productivity of the two species was estimated at 1.8 and 1.5 pups per adult per year for C. adustus and C. mesomelas, respectively. These datasuggest that jackal populations are capable of very rapid recovery following population crashes and that populations will fluctuate seasonally, with peak densities of independent, mobile jackals (capable of participating in rabies cycles) occurring around December and January.
Identification and Analysis of Factors Affecting E-survey Response Rate at Central Bureau of Statistics

Central Bureau of Statistics – BPS is a institution that carries out statistical activities. One of the strategic objectives is to increase response rates. BPS hopes that the response rate of 104 BPS census and survey activities in 2017 will be achieved according to the target set. The problem is 59.61% of these activities have a response rate that does not reach the target. One of the root causes of the target response rate is not achieved because the method of data collection using e-survey technology has not reached the expected target response rate. This study aims to analyze the factors that affect the response rate of e-surveys at BPS and provide recommendations for raising it. The method used in this research is a quantitative case study through surveys and qualitative for give recommendations. The list of variables was obtained from literature and then validated by experts using the Delphi Technique. The results of the model are based on Theory of Planned Behavior, Cognitive Dissonance Theory, Gamification Theory, Social Exchange Theory, Preference of Device and Legal Punishment Theory. The results of data collection obtained 41 company responses and 106 valid household responses. Data analysis using the PLS-SEM. The results showed that the factors that had a significant positive influence were attitude, legal punishment and trust for household respondents and device preference and trust factors for company respondents.
Social Media Emerging as a Third Eye !! Decoding Users' Sentiment on Government Policy: A Case Study of GST

Micro blogging sites and other social networking platforms have become the primary means of communication and knowledge sharing with progressing technological trends. People across the globe express their views on products & services, predict share price and present feedback on the policies of the regimes. Everything that is shared on social networks may not be authentic or denote the truth. However, it definitely forms a basis to investigate and comprehend the public sentiments. Public sentiments are capable of affecting the economic landscape via foreign investments and stock markets among having other financial and social impacts. In this paper, we have analyzed public sentiments on the Goods and Services tax, popularly known as GST in India. GST subsumes eight central and nine state taxes thereby integrating the absolute indirect tax framework in the country which paves the way for varied opinions & reactions imperative to analyze a collective sentiment. We used a hybrid approach to do the sentiment analysis which uses a combination of lexicon-based method and supervised machine learning approach to determine public sentiments. We accumulated 163,373 tweets over a span of three weeks from July 4th to 25th, 2017 after GST was implemented in India w.e. f. July 1st, 2017. A spatio-temporal analysis was performed on the collected tweets. In this research, we annotated 22,000 unique tweets with the help of a lexicon-based method and thenceforth applied supervised machine learning techniques with a set of six distinct algorithms to train and predict the polarity on the complete data set. K-fold cross validation technique, for K in range of 3–10, was used to assess the model for an independent data set. Subsequently, it was found that accuracy, precision, recall and F1 score of all the models provided the best results when K approached 10. Resultantly, we observed that SVM and Logistic Regression could predict the polarity of new incoming tweets with an accuracy of 77.6% and 79.31% respectively.
From Purchasing Exposure to Fostering Engagement: Brand–Consumer Experiences in the Emerging Computational Advertising Landscape

Abstract Over the past 40 years, we have witnessed seismic shifts in advertising planning and buying processes. Due in no small part to the emergence of digital media, consumer choices have mushroomed, while advertisers understand much more about target audiences. Advertising activities have been drastically transformed by the possibilities that technology creates for targeting and measurement, automation of activities via programmatic advertising, and an overall computational approach in which algorithmic, data-driven decisions dominate. In this era, what does it mean to “do media planning” and to do it well? The present article argues for planning decisions to move away from simply purchasing exposure to instead focusing on fostering engagement through meaningful and sustained interactions with consumers. It provides an overview of the digital ecosystem that makes computational advertising possible, updates the notion of consumer engagement for this context, and reviews how measurement becomes more central to media planning decisions. Ethical and normative considerations and computational advertising as an adaptive learning system are discussed as crosscutting issues, followed by a proposed research agenda.
Detection and Sensing Using Coupled Oscillatory Systems at the Synchronization Edge

We theoretically investigate the sensitivity of the beat frequency in a coupled oscillatory system comprising two originally synchronized similar or dissimilar oscillators up on weak perturbation of the frequency of one of the oscillators. Based on the well-known Kuramoto model, we analytically show that the variation of the beat frequency near the synchronization edge of two coupled oscillators induced by external perturbation of one of the oscillators, is much larger than the frequency shift of an isolated oscillator induced by the same level of perturbation. The theoretical predications are validated by experimental measurements of the response of two different coupled oscillatory systems to external perturbation: 1) Two bidirectionally coupled electronic Colpitts oscillators, when a photo induced current is applied to one of them. 2) An electronic oscillator unidirectionally coupled to an optoelectronic oscillator (OEO), when the temperature of the delay line of the OEO is changed.
The Impact of Visual Merchandising and Transaction Attitude to E-commerce Purchase Intention

E-commerce has a tremendous growth globally and in Indonesia, but some research found only less than five percent of visitors who become customers. So, purchase or purchase intention has become an indicator of e-commerce performance. Previous research showed that there are several factors that can influence the level of purchase intention in e-commerce. This preliminary research used Sequential Equation Modeling (SEM). Data of 51 respondents was collected in May 2020 using Purposive sampling with respondents who are e-commerce buyers in Jabodetabek region in Indonesia. The purpose of this study is to determine the effect of Perceived of Ease, Perceived of Risk, Transaction Attitude, Visual Merchandising, and Trust to Company on Purchase Intention in the e-commerce of active e-commerce users. Transaction Attitude and Visual Merchandising will become special variables which affect the Purchase Intention directly or indirectly. The result found that there are two hypotheses that are not significant: Perceived of Ease to Transaction Attitude and Trust to Company to Transaction Attitude. This research contributes to e-commerce sellers, buyers, government (in order to make regulations), and Information Systmems knowledge update.
Transparent Communication Within Multiplicities

The Internet of Musical Things is an emerging field of research that intersects the Internet of Things, humancomputer interaction, ubiquitous music, artificial intelligence, gaming, virtual reality and participatory art through device multiplicity. This paper introduces a paradigm whereby data points and variable parameters can be strategically mapped or bound using aliases, data types and scoping as an alternative to flat address-structured mapping. The ability to send and/or access complex data types as complete entities rather than lists of parameters promotes data abstraction and encapsulation, allowing greater flexibility through modular architecture as underlying data structures can change during the lifestyle or evolution of a computer based composition. Additionally, the facility to define data accessibility, and the ability to reuse human readable names based on a variable’s scope is a common feature of most programming languages. This paradigm has been extended in that scoping a variable can be dynamically bound or addressed to specific objects, class types, devices or globally on an entire network. We describe the evolution of this paradigm through its development via various project requirements.
CRC-EBD: Epigenetic Biomarker Database for Colorectal Cancer

1 Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China, Center for Systems Biology, Soochow University, Suzhou, China, 3 School of Medicine, Institute of Medical Sciences, Örebro University, Örebro, Sweden, Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People’s Hospital, Guangzhou, China, 5 School of Science, Kangda College of Nanjing Medical University, Lianyungang, China, Department of Oncology and Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
The Role of T Cells Reactive to the Cathelicidin Antimicrobial Peptide LL-37 in Acute Coronary Syndrome and Plaque Calcification

The human cationic anti-microbial peptide LL-37 is a T cell self-antigen in patients with psoriasis, who have increased risk of cardiovascular events. However, the role of LL-37 as a T cell self-antigen in the context of atherosclerosis remains unclear. The objective of this study was to test for the presence of T cells reactive to LL-37 in patients with acute coronary syndrome (ACS). Furthermore, the role of T cells reactive to LL-37 in atherosclerosis was assessed using apoE−/− mice immunized with the LL-37 mouse ortholog, mCRAMP. Peripheral blood mononuclear cells (PBMCs) from patients with ACS were stimulated with LL-37. PBMCs from stable coronary artery disease (CAD) patients or self-reported subjects served as controls. T cell memory responses were analyzed with flow cytometry. Stimulation of PBMCs with LL-37 reduced CD8+ effector T cell responses in controls and patients with stable CAD but not in ACS and was associated with reduced programmed cell death protein 1 (PDCD1) mRNA expression. For the mouse studies, donor apoE−/− mice were immunized with mCRAMP or adjuvant as controls, then T cells were isolated and adoptively transferred into recipient apoE−/− mice fed a Western diet. Recipient mice were euthanized after 5 weeks. Whole aortas and hearts were collected for analysis of atherosclerotic plaques. Spleens were collected for flow cytometric and mRNA expression analysis. Adoptive transfer experiments in apoE−/− mice showed a 28% reduction in aortic plaque area in mCRAMP T cell recipient mice (P < 0.05). Fifty six percent of adjuvant T cell recipient mice showed calcification in atherosclerotic plaques, compared to none in the mCRAMP T cell recipient mice (Fisher’s exact test P = 0.003). Recipients of T cells from mice immunized with mCRAMP had increased IL-10 and IFN-γ expression in CD8+ T cells compared to controls. In conclusion, the persistence of CD8+ effector T cell response in PBMCs from patients with ACS stimulated with LL-37 suggests that LL-37-reactive T cells may be involved in the acute event. Furthermore, studies in apoE−/− mice suggest that T cells reactive to mCRAMP are functionally active in atherosclerosis and may be involved in modulating plaque calcification.
The Generalized Adaptation Account of Autism

The heterogeneous phenomenology of autism together with diverse patterns of comorbidities led in the past to formulation of manifold theories and hypotheses on different explanatory levels. We scrutinize most recent findings from genetics, neurobiology and physiology and derive testable hypotheses about possible physiological links between domains. With focus on altered sensory perception and neuronal processing in ASD, we assume two intertwined regulatory feedback circuits under the umbrella of genetics and environmental factors. Both regulatory circuits are highly variable between individuals in line with the heterogeneous spectrum of ASD. The circuits set off from altered pathways and connectivity in ASD, fueling HPA-axis activity and distress. In the first circuit altered tryptophan metabolism leads to higher neurotoxic substances and reinforces the excitation:inhibition imbalance in the brain. The second circuit focuses on the impact and interaction with the environment and its rhythms in ASD. With lower melatonin levels, as the pacemaker molecule of the circadian system, we assume misalignment to outer and inner states corroborated from the known comorbidities in ASD. Alterations of the microbiome composition in ASD are supposed to act as a regulatory linking factor for both circuits. Overall, we assume that altered internal balance on cellular and neurophysiological levels is one of the main reasons leading to a lower ability in ASD to adapt to the environment and own internal changing states, leading to the conceptualization of autism as a condition of generalized imbalance in adaptation. This comprehensive framework opens up new perspectives on possible intervention and prevention strategies.