Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of life after vaginal and cesarean deliveries: a systematic review and meta-analysis

Purpose There are so many studies which evaluated the maternal quality of life based on their delivery type with different results. The purpose of this paper is to evaluate the effect of type of delivery on the maternal QOL systematically. Design/methodology/approach In this systematic review, which was conducted for 15 years (2000-2016), the international databases including PubMed, Scopes and ISI and the Persian databases were searched using the following words: quality of life or health-related quality of life, vaginal delivery, cesarean delivery or cesarean section. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was adopted for this study. The quality of articles was assessed by a checklist that has been used in previous studies. All of the data analysis was performed using STATA ver.12. Findings In total, 13 articles were included in the present systematic review and meta-analysis. The overall sample included 8,136 women (3,990 cesareans vs 4,146 vaginal). The results of the random effect model for eight QOL dimensions based on SF-36 questionnaire showed that there was no significant difference between two groups in terms of QOL. But this model for four QOL dimensions of WHOQOL showed that the maternal in two groups had a significant difference in two dimensions of QOL (mental health and total health) and insignificant difference in other dimensions. Research limitations/implications The results of the study may have been affected by the selection of few databases. Therefore, researchers are encouraged to test the proposed propositions in further databases. Practical implications The study results could be helpful to design appropriate policies for maternal based on their type of delivery. Originality/value This systematic review showed that despite the insignificant difference between women with vaginal delivery vs women with cesarean delivery in some aspects of QOL, it can be concluded that health status of women with vaginal delivery is better than women with cesarean delivery, so it should be considered in the setting of appropriate policies and implementation framework to encourage women for choosing the appropriate delivery type.
SSR, STS, AFLPおよびRAPDマーカーを用いたモモの統合連鎖地図の作成

An integrated genetic linkage map, based on an intraspecific peach F2 population, was constructed to include 94 simple sequence repeat (SSR) loci, 14 sequence tagged sites (STSs), 34 AFLPs, 24 RAPDs, 3 ISSRs, and 9 phenotypic traits. This map contains 178 markers placed in 8 linkage groups that correspond to the basic chromosome number of the species (n=8) with a map distance of 571 cM with an average distance of 3.2 cM between each pair of loci. Our peach genetic linkage map was completely aligned with the European Prunus reference map by using 42 common DNA markers as anchor loci and linkages; the order of all loci were conserved between the 2 maps. It also appears that this peach map covers almost the whole genome in comparison with the Prunus reference map. Nine phenotypic traits were identified in 4 linkage groups. Two kinds of root-knot nematode resistance loci Mia and Mja located on the top of linkage group 2 were very close. Two loci corresponding to flower color (Fc) and flesh color around the stone (Cs), were mapped on the linkage group 3. Flesh adhesion (F), one of the more important characteristics of stone fruits, was mapped at the bottom of linkage group 4. The positions these phenotypic traits were compared with those from other Prunus maps and their relationships were examined.
FATORES DE RISCO ÀS INFECÇÕES RELACIONADAS À ASSISTÊNCIA EM UNIDADES DE TERAPIA INTENSIVA

Objetivo: identificar os pacientes e os fatores de risco associados a ocorrencia de infeccoes relacionadas a assistencia a saude em unidades de terapia intensiva. Metodo: estudo transversal realizado com 155 pacientes internados entre 2012 e 2014 em duas unidades de terapia intensiva de dois hospitais publicos do Distrito Federal. Os dados foram coletados em prontuario e registrados em planilha no programa Microsoft Excel®. Foram considerados significativos resultados com p-value<0,05. Resultados: do total de 155 pacientes, 55 (35,5%) pacientes foram acometidos por infeccoes relacionadas a assistencia a saude durante a internacao na unidade de terapia intensiva. Tempo de internacao (p=0,001), internacao por causas clinicas (p=0,017), diabetes mellitus (p=0,002) e cirurgia eletiva (p=0,011), foram fatores de risco, independentes para essas infeccoes. Conclusao: as complicacoes infecciosas acometeram cerca de um terco dos pacientes no cenario de terapia intensiva. A vigilância dessas complicacoes pode orientar acoes para melhoria da seguranca do paciente critico.
Relationship between Helicobacter Pylori, Chronic Idiopathic Urticaria and Atopic Dermatitis

Background: Helicobacter pylori (H. pylori) is the microorganism responsible for the most frequent and persistent bacterial infection worldwide. H.pylori infection affects nearly half of the world’s population. In the developing countries, the prevalence of infection is as high as 90%, whereas in the developed countries, excluding Japan, the prevalence is below 40% (1). An association between H. pylori infection and skin diseases such as chronic idiopathic urticaria and atopic dermatitis has been suggested (2). Aim of the work: this review aimed to focus on the relationship between Helicobacter pylori, chronic idiopathic urticaria and atopic dermatitis. This association was reviewed in the following lines. Methodology: we used scientific websites such as PubMed, Google Scholar and Research Gate to get related articles about this subject. Results: several studies have reported the presence of H. pylori DNA in environmental water sources. Diagnostic tests are usually divided into invasive (endoscopic-based) and noninvasive methods. Using proton-pump inhibitors (PPIs) in combination with several antibiotics such as amoxicillin plus clarithromycin or metronidazole have been considered as the first-line treatment. Conclusion: H. pylori has a great prevalence among world’s population. H. pylori infection could play a role in the pathogenesis of a variety of skin diseases.
Genotype by sowing date interaction effects on sugar yield components in sweet sorghum (Sorghum bicolor L. Moench).

Sweet sorghum (Sorghum bicolor (L.) Moench) has a good potential as a raw material for ethanol production. However, continual supply of feed stock to the distillery is a major constraint in sweet sorghum based ethanol production. The main goals of this research were to determine genotype by sowing date interactions for sugar yield components and to identify high yielding and stable or specifically adapted genotypes for cultivation across the year via ANOVA (analysis of variance) and GGE (genotype + genotype by environment) biplot analysis. Given that sugar yield and quality varies with different sowing dates, 3 hybrids and 2 varieties of sorghum were planted at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) research farm, India on first of every month from January to December in a split plot design considering sowing date as main plot and genotypes as sub plot. The experiment was repeated for 3 consecutive years between 2007 and 2010 and observations were recorded for sugar yield and contributing traits. Date of sowing was the most important source of variation, accounting for 58 to 94% of the G+S+GS for sugar yield and related traits. Of the 12 monthly sowings, May, June and July sowings recorded highest sugar, cane and juice yields and the yields decreased with delay in sowing there on. The genotypes SPV 422 and ICSSH 30 recorded high sugar yield while ICSSH 24 was stable performer with comparative sugar yield. ‘Which-won-where’ analysis has demarcated the sowing dates into 2 groups and based on mean performance for sugar yield and GGE biplot analysis, the genotype SPV 422 was suitable for sowing from September to March and the genotype ICSSH 30 was suitable for sowing from April to August. However, brix was more of a genetic trait less influenced by the date of sowing.
MALAYSIAN MEDICINAL PLANTS’ POTENTIAL FOR BREAST CANCER THERAPY

Objective: This review focused on Malaysian medicinal plants that have been evaluated and pose potentials to treat breast cancer.Methods: Google Scholar, Web of Science, PubMed, Scopus, Biomed, ResearchGate, academia.edu, IEEE Xplore, ScienceDirect, and Ingenta databases were searched for this review and studies reported between January 1st, 2010 and June 30th, 2016.Results: A total of 105 plants species representing 54 different families and 79 genera were reviewed. 97% of the plants were tested using MCF-7 and MDA-231 breast cancer cell lines and exhibited most significant in vitro anticancer activity, and 3% were tested using another type of breast cancer cell lines. Most of the bioactive compounds of the medicinal plants that exhibited good activity (IC50 values <120 μg/mL) are a group of phenols, alkaloids, flavonoids, terpenoids, and saponins. Induction of apoptosis was found to be the significant cell death pathway.Conclusion: This article reviews the available literature concerning research on anti-breast cancer plants. Furthermore, identification and characterization of active components and toxicology evaluation also need to be studied in details and also point out their clinical trials.
Effect of dietary sodium selenite, Se-enriched yeast and Se-enriched Chlorella on egg Se concentration, physical parameters of eggs and laying hen production

ISA Brown laying hens at 24 weeks of age, housed in laying battery cages, were used in this 4-group experiment. One group was fed a basal diet containing primarily maize, soybean meal and wheat. Selenium (Se) content of the basal diet was 0.07 mg/kg dry matter. The other hens received diets supplemented with Na 2 SeO 3 , Se-enriched yeast and Se-enriched alga Chlorella, respectively, in a concentration of 0.3 mg Se/kg. The experiment lasted twenty-seven weeks. Egg production, feed consumption, egg weight, physical parameters of egg white, yolk and egg shell were examined every third week and egg white and yolk Se content repeatedly. Se was determined by inductively coupled plasma mass spectrometry. All three sources of added Se increased the egg white and egg yolk Se content ( P < 0.001). Selenium in the organic form increased further Se in the egg components compared to sodium selenite ( P < 0.001). More Se was deposited in egg white than in egg yolk, especially in relation to the increasing time of the experiment. The increase of Se concentration in egg white corresponded with increasing egg white weight in both organic selenium sources ( P < 0.05). Higher egg white thickness and better Haugh units were observed only in the Se-Chlorella group. Hens receiving the diet with Se-Chlorella also had better egg pro - duction compared to the basal diet ( P < 0.05). Egg weight was significantly higher in the Se-Chlorella and Se-yeast groups compared to the basal diet and the diet with sodium selenite ( P < 0.05). The Se-enriched alga Chlorella showed summarily best results.
Multiple Nerve Root Injuries after Incidental Durotomy: Case Report with Anatomical Correlation and Review of Literature

CSF leak is one of the most common complications in primary spine surgery. It is even more common in revision surgery. Its causes are multifactorial. It is usually a benign process, but at times it can lead to nerve injury. There have been a number of case reports regarding diagnosis and treatment of spinal nerve injuries due to incidental durotomies. However, they involve either single nerve root or ipsilateral nerves of the cauda equina that were trapped in the durotomy. We present a case of a morbidly obese patient who underwent discectomy for recurrent lumbar disc herniation. During the revision surgery, we encountered a small incidental durotomy through which a significant number of nerve roots exited and as a result were injured. This resulted in bilateral nerve dysfunction, which is a unique aspect of our case presentation. We will discuss the anatomical and pathophysiological bases for this injury. We will also review the literature regarding outcomes after incidental durotomies in regard to spinal nerve injuries.
Big-data business models: A critical literature review and multiperspective research framework

The emergence of “big data” offers organizations unprecedented opportunities to gain and maintain competitive advantage. Trying to exploit the strategic business potential embedded in big data, many organizations have started to renovate their business models or develop new ones, giving rise to the phenomenon of big-data business models. Although big-data business model research is still in its infancy, a significant number of studies on the topic have been published since 2014. We thus suggest it is time to perform a critical review and assessment of the literature at the intersection of business models and big data (analytics), thereby responding to recent calls for further research on and sustained analysis of big-data business models. In particular, our review uses three major criteria (big-data business model types, dimensions, and deployment) to assess the state of the big-data business model literature and identify shortcomings in this literature. On this basis, we derive and discuss five central research perspectives (supply chain, stakeholder, ethics, national, and process), providing guidance for future research and theory development in the area. These perspectives also have practical implications on how to address the current big-data business model deployment gap.
Using iophenoxic acid injections of prey to identify mammals that feed on them

Identifying species or individuals that feed upon other species of animals is an important aspect of some predation studies. We evaluated the effectiveness with which the biomark associated with iophenoxic acid (IA) injections was transferred from domestic goats to coyotes (Canis latrans) that fed on them. We injected doses of 100, 300, or 1,000 mg of IA into goats to raise serum iodine levels, fed meat from the injected goats to coyotes, and monitored serum iodine levels in both species for about I 2 0 days. Within 3 days, mean serum iodine levels in goats increased from 5.33 mcg/I 00 ml to over 2,847, 10,233, and 11,567 mcg/100 ml, respectively, for the 100-, 300-, and 1,000-mg IA treatments. A gradual dissipation of serum iodine concentrations in the goats ensued, approaching mean levels of 943, 3/21 3, and 6,310 mcg/100 ml of serum by day 120. When we fed coyotes (2ltreatment) 500 g of meat from IA-treated goats, mean serum iodine levels among the coyotes increased within 2 days from 8 mcg/100 ml to 194, 410, and 645 mcg/100 ml of serum respectively for the 3 treatments. Mean serum iodine concentrations among these coyotes then declined systematically to 30, 45, and 82 mcg/1 00 ml of serum 11 2 days after ingestion. When we fed coyotes 500 g of meat from goats slaughtered 120 days after they had been injected with IA, mean serum iodine levels increased from base levels (8 mcg/100 ml of serum) to 69, 242, and 526 mcg/100 ml respectively for the loo-, 300-, and 1,000-mg treatments. We concluded that we were able to detect coyotes that fed on marked goats any time during a 120-day period after the goats were treated. Nonlinear regression analysis suggested a relation between levels of serum iodine achieved and IA dose rate (mg/kg) received by the goats, with iodine levels reaching saturation with intramuscular injections of 25-30 mg/kg IA.
An ontology-based system for discovering landslide-induced emergencies in electrical grid

Early warning systems (EWS) for electrical grid infrastructure have played a significant role in the efficient management of electricity supply in natural hazard prone areas. Modern EWS rely on scientific methods to analyze a variety of Earth Observation and ancillary data provided by multiple and heterogeneous data sources for the monitoring of electrical grid infrastructure. Furthermore, through cooperation, EWS for natural hazards contribute to monitoring by reporting hazard events that are associated with a particular electrical grid network. Additionally, sophisticated domain knowledge of natural hazards and electrical grid is also required to enable dynamic and timely decision-making about the management of electrical grid infrastructure in serious hazards. In this paper, we propose a data integration and analytics system that enables an interaction between natural hazard EWS and electrical grid EWS to contribute to electrical grid network monitoring and support decision-making for electrical grid infrastructure management. We prototype the system using landslides as an example natural hazard for the grid infrastructure monitoring. Essentially, the system consists of background knowledge about landslides as well as information about data sources to facilitate the process of data integration and analysis. Using the knowledge modeled, the prototype system can report the occurrence of landslides and suggest potential data sources for the electrical grid network
Biometric Recognition Techniques: An Analysis

Biometrics refers to innovations for measuring and investigating a person's physiological or behavioral qualities which are remarkable to people subsequently can be utilized to recognize a man. Biometrics is a developing technology which is utilized as a part of different fields like legal sciences, security system and secured territory. These are utilized as a part of different applications like mobiles, protectedentreein a building and ATM.Biometrics are intended to upgrade the safety and diminish defenselessness. The undertaken study aims to present the distinctive biometrics techniques i.e. Fingerprint recognition, Hand geometry recognition, Iris recognition,Face Recognition and Voice recognition which are accessible to implement a biometric system . This study will be helpful for the scholars, researchers and academicians.
Google and the Culture of Search

What did you do before Google? The rise of Google as the dominant Internet search provider reflects a generationally-inflected notion that everything that matters is now on the Web, and should, in the moral sense of the verb, be accessible through search. In this theoretically nuanced study of search technologys broader implications for knowledge production and social relations, the authors shed light on a culture of search in which our increasing reliance on search engines influences not only the way we navigate, classify, and evaluate Web content, but also how we think about ourselves and the world around us, online and off. Ken Hillis, Michael Petit, and Kylie Jarrett seek to understand the ascendancy of search and its naturalization by historicizing and contextualizing Googles dominance of the search industry, and suggest that the contemporary culture of search is inextricably bound up with a metaphysical longing to manage, order, and categorize all knowledge. Calling upon this nexus between political economy and metaphysics, Google and the Culture of Search explores what is at stake for an increasingly networked culture in which search technology is a site of knowledge and power.
Large Causal Gene Regulatory Network Inference by Decomposition into Subnetworks

: Inferring the gene regulatory network is an important first step toward understanding the work of the cell and consequently curing diseases related to malfunction of the cell. One thorny problem in gene regulatory network inference is that even with high throughput technology, the available time series expression data is still very limited compared to the network size. To alleviate this problem, we propose to decompose large network into small subnetworks without prior knowledge of the decomposition. Our algorithm first infers an initial GRN using CLINDE, decomposes it into possibly overlapping subnetworks, then infers each subnetwork by either CLINDE or DD-lasso and finally merges the subnetworks. We have tested this algorithm on synthetic data of networks with 500 and 1000 genes. The results show that our proposed algorithm does improve the GRN inference performance of using either CLINDE or DD-lasso alone on the large network, with statistical significance, and is robust to different variances and slight deviation from Gaussian distribution in error terms.
A Study of the Influencing Technological and Technical Factors Successful Implementation of Business Intelligence System in Internet Service Providers Companies

The present research has been done to consider the technological and technical factors affected on the implementation of business intelligence system in Shuttle Company which presents Internet services. The type of this research is from descriptive-quantitative one. In order to determine the technological and technical factors, the literature of the subject has been considered and the effective factors have been extracted through the studying of Shuttle Company. These factors were classified based on experts’ ideas and distributed in the form of questionnaire. The descriptive statistics were used to analyze the descriptive data and analytic factor analysis was done by means of SPSS and LISREL software for the purpose of determining the factors validity (ranges of research) and examining the hypotheses. At the end, all of the components of technological and technical factors were confirmed as effective factors on the implementation of business intelligence system. These components include Extensible technical framework (hardware and software), System and data quality, Appropriate technology/tools, Integration between Business intelligence systems with other systems.
Speaker localization and separation in teleconferences

At the Institute for Data Processing at the Technical University of Munich, a lot of research effort is spent in the development of a conference phone. In this thesis the focus is on the recording, the speaker localization and the source separation. In the past, several algorithms were tested in the conference scenario, but there was no comparison of the different algorithms with the same test data. Firstly, a suitable microphone array for each of the three treated algorithms was designed and built with a 3D plotter. Afterwards, the impulse-responses for the three microphone arrays were estimated for 0° , 10° , 20° elevation and in 5° steps in azimuth to make a statement about the properties of the different microphone arrays. Furthermore, more than 1000 recordings were made in the audiolab and in the videolab to evaluate the different algorithms. As well as the subjective examination of the auditory impression the SIR, SAR and SDR-values were determined for all the recordings. From the results of the experiments, the best localization and the best separation algorithms were chosen, which will be used in the following processing steps, for example speaker recognition.