Miracle-dz/UniFAR-FTUs huggingface dataset:
Hematological and Biochemical Changes Associated with Ectopic Pregnancy in Jazan Area Saudi Arabia

Objective: Ectopic pregnancy (EP) is an implantation of fertilized ovum outside the intrauterine cavity. Many cases of EP are not associated with a clinical signs at early stages that makes its diagnosis is difficult. The confirmation of EP needs several investigations as ultrasonography and repeated measurements of serum β-hCG levels every 48 hours that make it very expensive and take a long time so, rupture may be occurred that leads to increased maternal morbidity and mortality rates. Thus, the aim of this study was to investigate the alterations of some hematological and biochemical parameters associated with normal and ectopic pregnancy in addition to evaluate their efficacy in early diagnosis of tubal ectopic pregnancy (TEP) among women living in Jazan area, Kingdom of Saudi Arabia. Subjects and methods: this retrospective study was carried out on 200 women with their ages ranged from 25–37 years old at the Obstetric and Gynecology Department of King Fahd Central Hospital and Sabiya General Hospital during the period between March 2010 and March 2014. The subjects were divided into three groups. Group (1) consists of 69 cases ruptured EP; Group (2) consists of 61 cases non-ruptured by visual examination during surgery and subsequently histopathological examination, where as group (3) consists of 70 women representing the control group having a normal intrauterine pregnancy. Hematological and biochemical measurements were done on all groups. Results: the hematological findings revealed a significant increase in mean platelet volume (MPV), total leukocytic count (WBC) and erythrocyte sedimentation rate (ESR) among TEP patients especially in ruptured cases in comparison with those of normal pregnancy control. A significant decrease in hemoglobin (Hb) and packed cell volume (PCV) in TEP cases either ruptured or non-ruptured and a non-significant changes in total erythrocytic count (RBC). The biochemical findings revealed a significant increase in serum creatine kinase ( CK) but a significant decrease in serum β-hCG in both ruptured and non-ruptured TEP. Conclusion: it could be concluded that theWBCs,MPV count and ESR were significantly increased in TEP especially in ruptured cases. The MPV can differentiate between TEP and normal pregnancy but has less clinical significance to differentiate between ruptured and non-ruptured cases. On the other hand, the level of β-hCG is an important indicator of TEP. Moreover, serum CK cannot be used as a tool for diagnosis of TEP but may differentiate between ruptured and non-ruptured cases.
Abstract 2156: NSC59984 induces mutant p53 degradation via activating ERK2 pathway-MDM2 axis

Mutant p53 protein is highly expressed in most cancer cells due to its protein stabilization. Mutant p53 loses wild-type p53 function but gains new oncogenic functions in driving tumor growth and drug resistance. Depletion of mutant p53 is an attractive strategy for cancer therapy. We reported a small-molecule NSC59984 destabilizes mutant p53 protein via protein degradation (Zhang et al., Cancer Research, 2015). In this study, we demonstrate that the ERK2 pathway plays a specific role in NSC59984-induced mutant p53 degradation via MDM2-mediated ubiquitination. We observe a sustained-phosphorylation of ERK1/2 in cancer cells treated with NSC59984. ERK1/2 pathway is negatively regulated by MKP-1. We find that MKP-1 activity is partially inhibited by NSC59984 in a dose dependent manner in vitro. These results suggest that NSC5998 sustains ERK1/2 phosphorylation partially via disruption of the feedback-loop between MKP-1 and ERK2 pathway. Knockdown of ERK2 rescues mutant p53 from NSC59984-mediated degradation, and inhibits NSC59984-restoration of p53 signaling in mutant p53-expressing cells. On the contrary, the effect of NSC59984 on the mutant p53 is not inhibited by the blockage of JNK and P38, two pathways negatively regulated by MKP-1. These results suggest that the ERK2 phosphorylation is specifically required for NSC59984-mediated mutant p53 degradation. We further find that NSC59984 induces ERK2-dependent MDM2 phosphorylation. The effect of NSC59984 on MDM2 phosphoryation is partially inhibited by the blockage of ERK2 signaling (via U0126 treatment or Knockdown of ERK2), not by the attenuation of the JNK pathway. Furthermore, NSC59984-mediated mutant p53 protein degradation is inhibited by MDM2 knockdown, and enhanced by MDM2 overexpression in cancer cells. NSC59984-increased ubiquitination of mutant p53 is attenuated by U0126. Our results suggest that the ERK2 signaling pathway-MDM2 axis is a major determinant of NSC59984-mediated mutant p53 degradation. We further demonstrate that NSC59984 induces cell death via apoptosis, and NSC59984-induced cell death is mainly rescued by inhibition of the ERK2 pathway in p53 mutant cancer cells. Taken together, our results suggest that phosphorylated-ERK2 is an important factor required for NSC59984-mediated mutant p53 degradation which may further contribute to NSC59984-induced cell death in cancer cells. Citation Format: Shengliang Zhang, Lanlan Zhou, David Dicker, Wafik S. El-Deiry. NSC59984 induces mutant p53 degradation via activating ERK2 pathway-MDM2 axis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2156. doi:10.1158/1538-7445.AM2017-2156
Improving geospatial query performance of an interoperable geographic situation‐awareness system for disaster response

Disaster response operations require fast and coordinated actions based on real‐time disaster situation information. Although crowdsourced geospatial data applications have been demonstrated to be valuable tools for gathering real‐time disaster situation information, they only provide limited utility for disaster response coordination because of the lack of semantic compatibility and interoperability. To help overcome the semantic incompatibility and heterogeneity problems, we use Geospatial Semantic Web (GSW) technologies. We then combine GSW technologies with Web Feature Service requests to access multiple servers. However, a GSW‐based geographic information system often has poor performance due to the complex geometric computations required. The objective of this research is to explore how to use optimization techniques to improve the performance of an interoperable geographic situation‐awareness system (IGSAS) based on GSW technologies for disaster response. We conducted experiments to evaluate various client‐side optimization techniques for improving the performance of an IGSAS prototype for flood disaster response in New Haven, Connecticut. Our experimental results show that the developed prototype can greatly reduce the runtime costs of geospatial semantic queries through on‐the‐fly spatial indexing, tile‐based rendering, efficient algorithms for spatial join, and caching, especially for those spatial‐join geospatial queries that involve a large number of spatial features and heavy geometric computation.
Contextual Temperature for Language Modeling

Temperature scaling has been widely used as an effective approach to control the smoothness of a distribution, which helps the model performance in various tasks. Current practices to apply temperature scaling assume either a fixed, or a manually-crafted dynamically changing schedule. However, our studies indicate that the individual optimal trajectory for each class can change with the context. To this end, we propose contextual temperature, a generalized approach that learns an optimal temperature trajectory for each vocabulary over the context. Experimental results confirm that the proposed method significantly improves state-of-the-art language models, achieving a perplexity of 55.31 and 62.89 on the test set of Penn Treebank and WikiText-2, respectively. In-depth analyses show that the behaviour of the learned temperature schedules varies dramatically by vocabulary, and that the optimal schedules help in controlling the uncertainties. These evidences further justify the need for the proposed method and its advantages over fixed temperature schedules.
Use of TLS (LiDAR) for Building Diagnostics with the Example of a Historic Building in Karlino

This article presents the use of TLS (LiDAR) measurement for the evaluation of the technical conditions of a historic building. A FARO M70 laser scanner was used in the study. The measurements was taken as an RCP point cloud. The measurement allowed to partially determine the cause of the building damage. The performed measurement allows to propose a precise solution that could be pre-fabricated. The study shows the usefulness of TLS in building diagnostics. Improper measurement could lead to a wrong solution and a certain degree of uncertainty.
Developing an endogenous quorum-sensing based CRISPRi circuit for autonomous and tunable dynamic regulation of multiple targets in industrial Streptomyces

Dynamic regulation has emerged as an effective strategy to improve product titers by balancing metabolic networks, which can be implemented by coupling gene expression to pathway-independent regulatory elements, such as quorum-sensing (QS) systems. However, these QS-based circuits are often created on heterologous systems and must be carefully tuned through tedious testing and optimization process to make them work well, which hampers their application in industrial microbes including streptomycetes. In this study, we design a pathway-independent QS circuit by directly integrating an endogenous QS system with CRISPRi (named EQCi) in the industrial rapamycin-producing strain Streptomyces rapamycinicus. EQCi has the advantages of both the QS system and CRISPRi, which enables tunable, fully autonomous and dynamic regulation of multiple targets simultaneously. To demonstrate its effectiveness, we downregulate three key nodes in essential pathways separately to divert metabolic flux toward rapamycin biosynthesis. In each case, significant increases in rapamycin titers are achieved. We further apply EQCi to simultaneously control these three key nodes with proper repression strength by changing sgRNA targeting positions. The final rapamycin titer reaches to 1836±191 mg/L, which is the highest reported titer. Notably, compared to traditional static engineering strategy, which result in growth arrest and suboptimal rapamycin titers, EQCi regulation substantially promote rapamycin titers without affecting cell growth, which indicates that it can achieve the trade-off between essential pathways and product synthesis. Collectively, this study provides a simple and effective strategy for optimizing product titers and may have the potential to apply to other industrial microorganisms.
Big Data Analytics and Organizational Performance: A Meta-Analysis Study

Big data analytics gained a great deal of attention from both, the business world and the academia. Investments of time, capital and personnel are significant, to the level that pioneers of this field reached a point of no return. Although there are clear insights of successful companies built on a big data analytics strategy, the results from the researchers’ work show mixed outcomes. It is not explicit under which circumstances big data analytics adoption leads to positive results. The purpose of this study is to run a meta-analysis review on the empirical articles that tackle big data analytics and organizational performance topics. As a methodology, we searched all the articles indexed on ISI Web of Knowledge during period January 2010 – May 2019. After the first filter, we selected 375, out of which we included only those studies which respected our full criteria: empirical study, provided results, at least one effect size and measurement error displayed. Based on this standard, we included 37 articles in our meta-analysis. The findings confirm that big data analytics play an important role in organizational performance. Finally, implications for practice are discussed, and future research directions are proposed considering the limitations of our study.
Ekstrak Buah Delima Sebagai Antibiotik Pengobatan Infeksi MRSA

Sejak ditemukan antibiotik pada tahun 1940an, penyakit infeksi karena bakteri dapat diobati dengan mudah. Sejak itu antibiotik dipakai secara luas dan berlebihan, sehingga mikroorganisme dapat beradaptasi dan membuat antibiotik menjadi tidak efektif. Staphylococcus aureus adalah salah satu bakteri dengan kemampuan adaptasi terhadap antibiotik yang baik, sehingga memaksa peneliti untuk mencari antibiotik alternatif. Buah delima, sebagai buah tertua yang dimanfaatkan manusia, memiliki kemampuan untuk menghambat pertumbuhan MRSA secara in vitro . Ekstrak buah delima mengandung senyawa polihidroksifenol atau yang dikenal dengan nama polifenol. Kandungan senyawa polifenol berada pada seluruh bagian tanaman delima dengan konsentrasi paling tinggi pada bagian buahnya. Ekstrak buah delima mengandung senyawa polifenol derivat tannin seperti asam elagat, asam galat dan punikalagin. Senyawa polifenol diduga dapat mengganggu pembentukan enzim bakteri, dinding sel bakteri, berinteraksi dengan protein dalam sel bakteri dan mengganggu agregasi bakteri. Senyawa ini juga dapat menurunkan konsentrasi inhibisi minimum antibiotik lini pertama seperti oksasilin dan tetrasiklin terhadap MRSA secara in vitro . Kata kunci: antibiotik, delima, MRSA, resistensi, staphylococcus
Relationships between parent–child social media interactions and health behaviors

ABSTRACT Social media use by both teens and adults has become increasingly common. This frequency of interaction can be capitalized upon by researchers looking to design programs to limit youth substance use. This study serves as a first step in this area of research, examining how parent–child social media exchanges (specifically on Facebook) may be related to youth risk behavior. In a sample of 252 college students, results indicated that roughly 63% of youth reported being friends with their parents on Facebook while in high school. A minority (27%) reported they blocked their parents from seeing certain material on their Facebook page, and most youth reported their parents discussed information from their Facebook page with some regularity (65%). Logistic regression analyses indicated that, when accounting for demographics, parental solicitation, and parental control efforts, youth who were friends with their parents on Facebook and did not block any materials from them had a decreased likelihood of alcohol and/or marijuana use in high school relative to those who were not friends with their parents on Facebook or who blocked materials from their parents. These findings imply that efforts to encourage parent–child interactions via social media may help prevent substance use in high school.
Video-rate multimodal multiphoton imaging and three-dimensional characterization of cellular dynamics in wounded skin

To date, numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases, but few have attempted to characterize these cellular events under conditions similar to the native environment. To address this challenge, a three-dimensional (3D) multimodal analysis platform was developed for characterizing in vivo cellular dynamics in skin, which was then utilized to process in vivo wound healing data to demonstrate its applicability. Special attention is focused on in vivo biological parameters that are difficult to study with ex vivo analysis, including 3D cell tracking and techniques to connect biological information obtained from different imaging modalities. These results here open new possibilities for evaluating 3D cellular dynamics in vivo, and can potentially provide new tools for characterizing the skin microenvironment and pathologies in the future.
Joint Beamforming and Power Splitting Design for Physical Layer Security in Cognitive SWIPT Decode-and-Forward Relay Networks

In an underlay cognitive simultaneous wireless information and power transfer (SWIPT) network, communication from secondary user (SU) to secondary destination (SD) is accomplished with decode-and-forward (DF) relays. Multiple energy-constrained relays are assumed to harvest energy from SU via power splitting (PS) protocol and complete SU secure information transmission with beamforming. Hence, physical layer security (PLS) is investigated in cognitive SWIPT network. In order to interfere with eavesdropper and improve relay’s energy efficiency, a destination-assisted jamming scheme is proposed. Namely, SD transmits artificial noise (AN) to interfere with eavesdropping, while jamming signal can also provide harvested energy to relays. Beamforming vector and power splitting ratio are jointly optimized with the objective of SU secrecy capacity maximization. We solve this non-convex optimization problem via a general two-stage procedure. Firstly, we obtain the optimal beamforming vector through semi-definite relaxation (SDR) method with a fixed power splitting ratio. Secondly, the best power splitting ratio can be obtained by one-dimensional search. We provide simulation results to verify the proposed solution. Simulation results show that the scheme achieves the maximum SD secrecy rate with appropriate selection of power splitting ratio, and the proposed scheme guarantees security in cognitive SWIPT networks.
Managementul interdisciplinar al unei paciente cu tumoră mamară rară - prezentare de caz

Breast cancer is the most common neoplasia in women, being defined by genetic heterogeneity and having a wide spectrum of clinical manifestations with different types of aggresivity in different patients. Therefore, it is a major challenge of both diagnosis and treatment. We report the case of a 42-year-old woman who was admitted in the Department of Obstetrics and Gynecology of the University Emergency Hospital Bucharest for a palpable tumor located in the supero-lateral quadrant of the right breast. According to paraclinic examination, surgery was performed. After an extensive histopathological examination with immunohistochemistry analysis, she was diagnosed with intraductal papilloma with areas of atypical hyperplasia and in situ ductal carcinoma. The diagnosis of breast cancer was established rapidly in an early stage due to efficient collaboration between specialists in: Obstetrics-Gynecology, Histopathology, Oncology and Radiotherapy. In order to improve the prognostic, interdisciplinary management is essential in patients with breast tumors.
Restoring a Saline Lake to a Range of Water Levels With Noisy Data and Diverse Objectives

Main Manuscript for Restoring a saline lake to a range of water levels with noisy data and diverse objectives Somayeh Sima a*, David E. Rosenberg b, Wayne A. Wurtsbaugh c, Sarah E. Null c , Karin M. Kettenring c a Faculty of Civil & Environmental Engineering, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran, Iran, P.O. Box:14115-111; b Department of Civil and Environmental Engineering and Utah Water Research Laboratory, and c Department of Watershed Sciences, Utah State University, 5210 Old Main Hill, Logan, UT 84322-5210.
Analysing the Academic Performance of Students Using Unsupervised Data Mining

Educational Data Mining is an attractive interdisciplinary domain in which the main goal is to apply data mining techniques in educational environments in order to offer better insights into the educational related tasks. This paper analyses the relevance of two unsupervised learning models, self-organizing maps and relational association rule mining in the context of students’ performance prediction. The experimental results obtained by applying the aforementioned unsupervised learning models on a real data set collected from Babe¸s-Bolyai University emphasize their effectiveness in mining relevant relationships and rules from educational data which may be useful for predicting the academic performance of students.
Study of a prescribing pattern of empirical antibiotics in patients with sepsis in a tertiary care hospital of Eastern India

Background: Blood stream infections cause significant morbidity and mortality worldwide. Rational use of antimicrobials is required for proper management. Appropriate selection of empirical antibiotic therapy for diagnosed sepsis is difficult. Objective: The main objective of this study is to evaluate the prescribing pattern of antibiotics in patients with sepsis in a tertiary care hospital of Eastern India. Methods: The study was carried over a period of one year at the Department Of Medicine, Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar. We studied 100 patients with sepsis regarding empirical antibiotics prescribed on initial evaluation. Results: As per the prescription analysis, the antibiotics used as empirical treatment based on class were penicillin derivatives (72%), macrolide (40%), nitroimidazole (40%), Cephalosporin(28%), fluoroquinolones (18%), aminoglycoside (13%), Carbapenems (3%) and oxazolidinone (4%). 56% patients received a combination of two antibiotics. We had seen improvement in 86% of the patients and discharged them. The rest were either shifted to the specialty care or left the hospital against medical advice. Conclusion: This study found that beta-lactam antibiotics like piperacillin, amoxyclav and cephalosporins are mostly used in the empirical treatment of sepsis. Early initiation of antibiotics is associated with improved outcomes in severe sepsis and septic shock. The addition of two or more antibiotics increases the coverage especially of Gram-negative bacteria.
Crude palm oil prices and default risk: an analysis of Indonesia’s listed agricultural firms

Purpose This study aims to examine how crude palm oil (CPO) price impacts corporate default risk (CDR) of agricultural firms in Indonesia’s palm oil industry. Design/methodology/approach By applying a dynamic panel regression on listed CPO-based firms, the authors find that CPO price fluctuations are insignificant in explaining CDR. Findings The main determinants of CDR are internal factors, namely, excess stock market returns and return on assets. External factors do not play any role in influencing the CDR in the case of Indonesia. The results highlight the importance of completing risk analysis at the macro level with firm-specific factors. Research limitations/implications The contributions aside, an important limitation of this study is that there is a small sample of listed firms. Most of these firms have the ability to mitigate risks. Therefore, further studies are needed to identify the default predictions for non-listed firms. Practical implications In the context of macro prudential policy in Indonesia, the findings imply that financial stability surveillance needs to be carried out in two areas: macroeconomic indicators and firm-specific indicators. Given the lack of listed CPO firms in Indonesia, the object of surveillance should focus on not only listed firms but also non-listed firms with large bank loans. Originality/value This study highlights the importance of completing risk analysis at the macro level with firm-specific factors in Indonesia as commodity exporting country.