Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting opinion spams through supervised boosting approach

Product reviews are the individual’s opinions, judgement or belief about a certain product or service provided by certain companies. Such reviews serve as guides for these companies to plan and monitor their business ventures in terms of increasing productivity or enhancing their product/service qualities. Product reviews can also increase business profits by convincing future customers about the products which they have interest in. In the mobile application marketplace such as Google Playstore, reviews and star ratings are used as indicators of the application quality. However, among all these reviews, hereby also known as opinions, spams also exist, to disrupt the online business balance. Previous studies used the time series and neural network approach (which require a lot of computational power) to detect these opinion spams. However, the detection performance can be restricted in terms of accuracy because the approach focusses on basic, discrete and document level features only thereby, projecting little statistical relationships. Aiming to improve the detection of opinion spams in mobile application marketplace, this study proposes using statistical based features that are modelled through the supervised boosting approach such as the Extreme Gradient Boost (XGBoost) and the Generalized Boosted Regression Model (GBM) to evaluate two multilingual datasets (i.e. English and Malay language). From the evaluation done, it was found that the XGBoost is most suitable for detecting opinion spams in the English dataset while the GBM Gaussian is most suitable for the Malay dataset. The comparative analysis also indicates that the implementation of the proposed statistical based features had achieved a detection accuracy rate of 87.43 per cent on the English dataset and 86.13 per cent on the Malay dataset.
Highly stretchable and ultrathin nanopaper composites for epidermal strain sensors

Multifunctional electronics are attracting great interest with the increasing demand and fast development of wearable electronic devices. Here, we describe an epidermal strain sensor based on an all-carbon conductive network made from multi-walled carbon nanotubes (MWCNTs) impregnated with poly(dimethyl siloxane) (PDMS) matrix through a vacuum filtration process. An ultrasonication treatment was performed to complete the penetration of PDMS resin in seconds. The entangled and overlapped MWCNT network largely enhances the electrical conductivity (1430 S m−1), uniformity (remaining stable on different layers), reliable sensing range (up to 80% strain), and cyclic stability of the strain sensor. The homogeneous dispersion of MWCNTs within the PDMS matrix leads to a strong interaction between the two phases and greatly improves the mechanical stability (ca. 160% strain at fracture). The flexible, reversible and ultrathin (<100 μm) film can be directly attached on human skin as epidermal strain sensors for high accuracy and real-time human motion detection.
JSPS-9 Microbiologial Quality of Chicken Carcasses in Bogor Indonesia Based on Campylobater sp. and Salmonella sp. Counts

Unhygienic handling chicken carcasses during slaughtering until selling to costumers can lead to contamination by pathogenic bacteria such as Campylobacter sp. , and Salmonella sp. entering human’s body can cause foodborne disease The aims of this study were to detect contamination and enumuration of Campylobacter sp, and Salmonella sp. in chicken carcasses from poultry slauhterhouses and markets in Bogor Indonesia.
Preliminary Associations among Relational Victimization, Targeted Rejection, and Suicidality in Adolescents: A Prospective Study

This study examined associations between multiple types of interpersonal and noninterpersonal stressors and the subsequent occurrence of suicide ideation and attempts among female adolescents. Adolescents ages 12 to 18 years old (n = 160) at elevated risk for suicidal thoughts and behaviors were followed for 18 months, divided into two 9-month epochs for data analysis (Periods 1 and 2). Exposure to acute relational victimization, targeted rejection, nonspecified interpersonal, and noninterpersonal life stressors over the first 9-month epoch (Period 1) was assessed using semistructured interviews and an independent life stress rating team. Participants also completed phone-based semistructured interviews of suicidal thoughts and behaviors. Preliminary analyses showed significant prospective associations between acute targeted rejection and nonspecified interpersonal stress during Period 1 and suicide ideation during Period 2, as well as relational victimization and noninterpersonal stress during Period 1 and suicide attempts during Period 2. However, in logistic regression analyses that adjusted for prior suicidality and depressive symptoms, relational victimization during Period 1 (but not targeted rejection, nonspecified interpersonal or noninterpersonal events) was associated with increased odds of suicide attempt during Period 2. Therefore, acute relational victimization exposure is associated with heightened risk for suicidal behaviors in female adolescents. Future studies should examine potential mediators and moderators of this association, and these stressors should be considered for inclusion in clinical screening tools.
Current and Future Molecular Testing in NSCLC, What Can We Expect from New Sequencing Technologies?

Recent changes in lung cancer care, including new approvals in first line and the introduction of high-throughput molecular technologies in routine testing led us to question ourselves on how deeper molecular testing may be helpful for the optimal use of targeted drugs. In this article, we review recent results in the scope of personalized medicine in lung cancer. We discuss biomarkers that have a therapeutic predictive value in lung cancer with a focus on recent changes and on the clinical value of large scale sequencing strategies. We review the use of second- and third-generation EGFR and ALK inhibitors with a focus on secondary resistance alterations. We discuss anti-BRAF and anti-MEK combo, emerging biomarkers as NRG1 and NTRKs fusions and immunotherapy. Finally, we discuss the different technical issues of comprehensive molecular profiling and show how large screenings might refine the prediction value of individual markers. Based on a review of recent publications (2012–2018), we address promising approaches for the treatment of patients with lung cancers and the technical challenges associated with the identification of new predictive markers.
Natural Aromatic Compounds as Scaffolds to Develop Selective G-Quadruplex Ligands: From Previously Reported Berberine Derivatives to New Palmatine Analogues

In this paper, the selective interactions of synthetic derivatives of two natural compounds, berberine and palmatine, with DNA G-quadruplex structures were reported. In particular, the previous works on this subject concerning berberine were further presented and discussed, whereas the results concerning palmatine are presented here for the first time. In detail, these palmatine derivatives were developed by inserting seven different small peptide basic chains, giving several new compounds that have never been reported before. The preliminary studies of the interactions of these compounds with various G-quadruplex-forming sequences were carried out by means of various structural and biochemical techniques, which showed that the presence of suitable side chains is very useful for improving the interaction of the ligands with G-quadruplex structures. Thus, these new palmatine derivatives might act as potential anticancer drugs.
Experimental Effects of Acute Exercise on Prospective Memory and False Memory

Research demonstrates that acute exercise can enhance retrospective episodic memory performance. However, limited research has examined the effects of acute exercise on prospective memory, and no studies have examined the effects of exercise on false memory performance. This study examined the potential effects of acute exercise on prospective memory and false memory performance. A between-group randomized controlled trial was employed, with participants (college students; Mage = 20 years) randomized into an exercise group (15-minute acute bout of treadmill walking; N = 25) or a control group (15 minutes of sitting; N = 26). Prospective memory was assessed from two laboratory and two naturalistic assessments outside the lab. False memory was assessed using a word-list trial. There were no statistically significant differences in prospective memory based on group allocation (FGroup×Time = 1.17; P = 0.32; η2 = 0.06). However, the control group recalled more false words and had a higher rate of false memory recognition (FGroup×Time = 3.15; P = 0.01; η2 = 0.26). These findings indicate that acute moderate-intensity aerobic exercise is not associated with prospective memory performance but provides some suggestive evidence that acute exercise may reduce the rate of false memories.
The ATR Inhibitor AZD6738 Synergizes with Gemcitabine In Vitro and In Vivo to Induce Pancreatic Ductal Adenocarcinoma Regression

Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest cancers, and overall survival rates have barely improved over the past five decades. The antimetabolite gemcitabine remains part of the standard of care but shows very limited antitumor efficacy. Ataxia telangiectasia and Rad3-related protein (ATR), the apical kinase of the intra–S-phase DNA damage response, plays a central role in safeguarding cells from replication stress and can therefore limit the efficacy of antimetabolite drug therapies. We investigated the ability of the ATR inhibitor, AZD6738, to prevent the gemcitabine-induced intra–S-phase checkpoint activation and evaluated the antitumor potential of this combination in vitro and in vivo. In PDAC cell lines, AZD6738 inhibited gemcitabine-induced Chk1 activation, prevented cell-cycle arrest, and restrained RRM2 accumulation, leading to the strong induction of replication stress markers only with the combination. Moreover, synergistic growth inhibition was identified in a panel of 5 mouse and 7 human PDAC cell lines using both Bliss Independence and Loewe models. In clonogenic assays, the combination abrogated survival at concentrations for which single agents had minor effects. In vivo, AZD6738 in combination with gemcitabine was well tolerated and induced tumor regression in a subcutaneous allograft model of a KrasG12D; Trp53R172H; Pdx-Cre (KPC) mouse cancer cell line, significantly extending survival. Remarkably, the combination also induced regression of a subgroup of KPC autochthonous tumors, which generally do not respond well to conventional chemotherapy. Altogether, our data suggest that AZD6738 in combination with gemcitabine merits evaluation in a clinical trial in patients with PDAC. Mol Cancer Ther; 17(8); 1670–82. ©2018 AACR.
Paternal smoking and spontaneous abortion: a population-based retrospective cohort study among non-smoking women aged 20–49 years in rural China

Background To comprehensively evaluate the association of paternal smoking and spontaneous abortion. Methods We conducted a population-based retrospective cohort study among 5 770 691 non-smoking rural Chinese women, along with their husbands, participating in the National Free Pre-Pregnancy Checkups Project, regarding outcome events that occurred in 2010–2016. The main outcome was spontaneous abortion (SA). Multivariable logistic regression was used to estimate OR and 95% CI, and restricted cubic spline was used to estimate the non-linear relationship. Results The multivariable-adjusted OR of exposure to paternal smoking for SA was 1.17 (95% CI 1.16 to 1.19), compared with women without exposure to paternal smoking; and corresponding OR of exposure to preconception paternal smoking for SA was 1.11 (95% CI 1.08 to 1.14), compared with women without exposure to preconception paternal smoking. The ORs of preconception paternal smoking also increased with increases in paternal smoking (pnonlinear<0.05, almost linearly shaped) and preconception paternal smoking (pnonlinear>0.05). In addition, periconception paternal smoking cessation was associated with an 18% (15%–22%) lower risk of SA. Conclusion Paternal smoking was associated with SA. The importance of tobacco control, specifically pertaining to paternal smoking, should be emphasised during preconception and pregnancy counselling.
Unterschiede zwischen der stationären Komplikationsdichte nach einer Ureterorenoskopie und dem durch Patienten berichteten 30 Tages-Outcome – Ergebnisse der deutschen prospektiven BUSTER-Studie

Zusammenfassung Hintergrund Patienten nach Ureterorenoskopie (URS) werden nach kurzem stationären Aufenthalt entlassen, die Einschätzung der Komplikationsdichte basiert auf der Betrachtung dieses kurzen Zeitfensters. Mit Daten der prospektiven BUSTER-Studie (Bewertung der ureterorenoskopischen Steintherapie – Ergebnisse hinsichtlich Komplikationen, Lebensqualität und Steinfreiheitsrate) sollen hier der Zusammenhang der Komplikationsschwere im stationären und 30-Tages-Verlauf (30-TV) sowie Einflussfaktoren auf die Lebensqualität (LQ) nach Entlassung aus stationärer Behandlung untersucht werden. Material und Methoden 01/2015 – 04/2015 wurden an 14 deutschen Kliniken Daten von 307 Patienten mit URS als Steintherapie gesammelt. Zudem wurden Komplikationen nach Clavien-Dindo-Graden (CDG) und Angaben zur LQ 30 Tage postoperativ durch Patientenfragebögen erfasst, die von 169/307 Patienten vorlagen. Es wurden drei Subgruppen gebildet: keine Zunahme der CDG im 30-TV (n = 128), Zunahme der CDG ohne Interventionsbedarf (n = 39), Zunahme der CDG mit Interventionsbedarf (n = 2). Der Zusammenhang zwischen diesen Kategorien und den Angaben zur LQ wurde durch Rangsummenkorrelation nach Spearman (ρ) geprüft. Der Einfluss klinischer Parameter auf den Endpunkt „Zunahme der CDG im 30-TV“ wurde mit einem multivariaten logistischen Regressionsmodell untersucht. Ergebnisse Während des stationären Aufenthalts traten bei 13 Patienten (7,7 %) Komplikationen auf (meist CDG1), 30 Tage postoperativ berichteten 43 Patienten (25,4 %) über Komplikationen (davon 16 CDG2, zwei CDG3). Zwischen einer Zunahme der CDG und allen Aspekten der LQ bestand eine statistisch signifikante Korrelation, am deutlichsten bei Angaben zu Schmerzen (ρ = 0,425; p < 0,001). Nur die Steingröße hatte unabhängigen Einfluss auf den Endpunkt „Zunahme der CDG im 30-TV“ (OR: 1,09; 95 %-KI 1,01 – 1,17; p = 0,040). Die Stenteinlage nach URS hatte bei bemerkenswerter Odds Ratio keinen signifikanten Einfluss auf diesen Endpunkt (OR: 4,19; 95 %-KI 0,64 – 27,32; p = 0,134), was durch eine erhebliche Ungleichverteilung dieses Kriteriums erklärt werden könnte (86,4 % Stent nach URS). Schlussfolgerungen Betrachtungen zu URS-Komplikationen sollten über die stationäre Behandlung hinaus erfolgen, da es im 30-TV zu einer Zunahme der Komplikationsdichte korrelierend mit einer Verschlechterung der LQ kam. Ob der Verzicht auf die Stenteinlage nach URS zu einer geringeren Komplikationsdichte und besseren LQ beitragen kann, muss durch weitere Studien untersucht werden.
On the role of sidechain size and charge in the aggregation of Aβ42 with familial mutations

Significance The aggregation of the amyloid-β (Aβ) peptide into amyloid fibrils is associated with Alzheimer’s disease, and several point mutations leading to early-onset disease have been identified in Aβ. By studying the aggregation of five disease-related mutations in vitro, we rationalize their link to familial Alzheimer’s disease. We have determined the effect of mutations on the individual steps of the overall Aβ42 aggregation reaction and find for four of the mutations a significant increase in the rate of self-replication of fibrils, a process that has been linked to the production of toxic oligomeric species. Furthermore, by investigating the nature of the mutation, we determine the importance of the charge and size of specific residues in the aggregation of the wild-type peptide. The aggregation of the amyloid-β (Aβ) peptide is linked to the pathogenesis of Alzheimer’s disease (AD). In particular, some point mutations within Aβ are associated with early-onset familial Alzheimer’s disease. Here we set out to explore how the physical properties of the altered side chains, including their sizes and charges, affect the molecular mechanisms of aggregation. We focus on Aβ42 with familial mutations—A21G (Flemish), E22K (Italian), E22G (Arctic), E22Q (Dutch), and D23N (Iowa)—which lead to similar or identical pathology with sporadic AD or severe cerebral amyloid angiopathy. Through global kinetic analysis, we find that for the E22K, E22G, E22Q, and D23N mutations, the acceleration of the overall aggregation originates primarily from the modulation of the nucleation processes, in particular secondary nucleation on the surface of existing fibrils, whereas the elongation process is not significantly affected. Remarkably, the D23 position appears to be responsible for most of the charge effects during nucleation, while the size of the side chain at the E22 position plays a more significant role than its charge. Thus, we have developed a kinetic approach to determine the nature and the magnitude of the contribution of specific residues to the rate of individual steps of the aggregation reaction, through targeted mutations and variations in ionic strength. This strategy can help rationalize the effect of some disease-related mutations as well as yield insights into the mechanism of aggregation and the transition states of the wild-type protein.
MicroRNA-3200-5p Promotes Osteosarcoma Cell Invasion via Suppression of BRMS1

Tumour metastasis is one of the most serious challenges of cancer as it is the major cause of mortality in patients with solid tumours, including osteosarcoma (OS). In this regard, anti-metastatic genes have potential for metastasis inhibition strategies. Recent evidence showed the importance of breast cancer metastasis suppressor 1 (BRMS1) in control of OS invasiveness, but the regulation of BRMS1 in OS remains largely unknown. Here, we used bioinformatics analyses to predict BRMS1-targeting microRNAs (miRNAs), and the functional binding of miRNAs to BRMS1 mRNA was evaluated using a dual luciferase reporter assay. Among all BRMS1-targeting miRNAs, only miR-151b, miR-7-5p and miR-3200-5p showed significant expression in OS specimens. Specifically, we found that only miR-3200-5p significantly inhibited protein translation of BRMS1 via pairing to the 3′-UTR of the BRMS1 mRNA. Moreover, we detected significantly lower BRMS1 and significantly higher miR-3200-5p in the OS specimens compared to the paired adjacent non-tumour bone tissues. Furthermore, BRMS1 and miR-3200-5p levels were inversely correlated to each other. Low BRMS1 was correlated with metastasis and poor patient survival. In vitro, overexpression of miR-3200-5p significantly decreased BRMS1 levels and promoted OS cell invasion and migration, while depletion of miR-3200-5p significantly increased BRMS1 levels and inhibited OS cell invasion and migration. Thus, our study revealed that miR-3200-5p may be a critical regulator of OS cell invasiveness.
CGDH Tools : Getting started in computer generated display holography

First steps in computer generated display holography can be difficult for both students, researchers and engineers. One of the main reasons is that in order to make a computer generated hologram, one has to implement the whole chain that calculates optical fields, makes a hologram and allows to simulate its reconstruction. The aim of CGDH Tools is to provide the basic building blocks of such a chain and to show a few case studies that demonstrate step by step how to use them. CGDH Tools is a set of Octave/MATLAB/Scilab functions and scripts that try to be as simple and clear as possible; moreover, they are extensively documented. The functionality includes light propagation calculations (convolution based, angular spectrum based and single Fourier transform based with optional local frequency clipping), object wave calculations (point cloud, wavefront recording plane, stereogram, billboard based method, etc.), hologram observation simulation and various handy utilities. CGDH Tools can be used for teaching holography or wave optics, for simple diffractive optical element design or it can be used as a starting point when implementing advanced calculation methods. CGDH Tools can be freely downloaded at holo.zcu. cz.
T-SNE visualization of large-scale neural recordings

Electrophysiology is entering the era of ‘Big Data’. Multiple probes, each with hundreds to thousands of individual electrodes, are now capable of simultaneously recording from many brain regions. The major challenge confronting these new technologies is transforming the raw data into physiologically meaningful signals, i.e. single unit spikes. Sorting the spike events of individual neurons from a spatiotemporally dense sampling of the extracellular electric field is a problem that has attracted much attention [22, 23], but is still far from solved. Current methods still rely on human input and thus become unfeasible as the size of the data sets grow exponentially. Here we introduce the t-student stochastic neighbor embedding (t-sne) dimensionality reduction method [27] as a visualization tool in the spike sorting process. T-sne embeds the n-dimensional extracellular spikes (n = number of features by which each spike is decomposed) into a low (usually two) dimensional space. We show that such embeddings, even starting from different feature spaces, form obvious clusters of spikes that can be easily visualized and manually delineated with a high degree of precision. We propose that these clusters represent single units and test this assertion by applying our algorithm on labeled data sets both from hybrid [23] and paired juxtacellular/extracellular recordings [15]. We have released a graphical user interface (gui) written in python as a tool for the manual clustering of the t-sne embedded spikes and as a tool for an informed overview and fast manual curration of results from other clustering algorithms. Furthermore, the generated visualizations offer evidence in favor of the use of probes with higher density and smaller electrodes. They also graphically demonstrate the diverse nature of the sorting problem when spikes are recorded with different methods and arise from regions with different background spiking statistics.