Miracle-dz/UniFAR-FTUs huggingface dataset:
Women undergoing assisted fertilisation and high-intensity interval training: a pilot randomised controlled trial

Objectives Overweight and obese women often seek assisted fertilisation. In the obese population, pregnancy rates are 30%–75% below that of normal weight women who undergo assisted fertilisation. We hypothesised that high-intensity interval training (HIT) would improve fertility by improving insulin sensitivity and thus affect the hypothalamic-pituitary-ovarian axis and ovarian androgen production. Our aim was to assess whether HIT prior to assisted fertilisation would increase pregnancy rate. Methods Eighteen overweight and obese women (body mass index>25.0 kg/m2) were randomised to HIT (n=8) or usual care (control, n=10) before assisted fertilisation. HIT was undertaken three times weekly for 10 weeks; two sessions of 4×4 min HIT and one session of 10×1 min HIT. Primary outcome was ongoing pregnancy. Secondary outcomes included insulin sensitivity, reproductive hormones, oxygen uptake and body composition. Results Four women got pregnant in both the HIT group (50%) and in the control group (44%), no between-group difference (p=0.6). Insulin sensitivity (glucose infusion rate) improved significantly after HIT, from 264.1 mg/m2/min (95% CI 193.9 to 334.4) at baseline to 324.7 mg/m2/min (95% CI 247.2 to 402.2) after 10 weeks (between-group difference, p=0.04). Fasting glucose, visceral fat, waist circumference and VO2peak were significantly improved in the group that undertook HIT. Conclusions HIT significantly improved insulin sensitivity, VO2peak and abdominal fat. Low statistical power makes it difficult to conclude on whether HIT prior to assisted fertilisation could increase pregnancy rate. Larger trials are needed to determine if improvements in insulin sensitivity are clinically relevant for assisted fertilisation success rates in this population.
Joint Power Control and Topology-Transparent Scheduling in Mobile Multi-Hop Networks under Physical Interference Model

Topology-transparent scheduling algorithms can work well in mobile multi-hop networks, since they are oblivious to the network topology changes and can provide throughput and delay guarantees. However, to the best of our knowledge, all existing work on topology-transparent scheduling assume the simple, but unrealistic protocol interference model. In this paper, we address the topology-transparent scheduling problem in wireless mobile multi-hop networks with the realistic physical interference model, which reflects the aggregated Signal to Interference and Noise Ratio (SINR) and thus is a more accurate abstraction of the real scenarios. Under the physical interference model, we analyse and classify the interference among users, and based on which, propose a simple but efficient power control policy to utilize the unassigned slots to improve the average network throughput. The simulations are conducted to demonstrate the capacity and throughput of the proposed algorithm under the physical interference model.
The murine female intestinal microbiota does not shift throughout the estrous cycle

Pregnancy is accompanied by maternal physiological adaptations including metabolic, endocrine, immune, cardiovascular, skeletomuscular and neurological modifications that facilitate fetal and placental growth and development. Emerging evidence suggests that the maternal intestinal microbiota is modified over the course of healthy pregnancy. We have recently identified a maternal intestinal microbial shift within hours of conception; a shift that continued with advancing gestation. It is possible that maternal gut bacterial profiles might be associated with the known endocrine changes that accompany the female reproductive (estrous) cycle. Methods: To determine whether the estrous cycle influenced the shifts in the maternal intestinal microbiota, time-matched fecal pellets were collected daily for 3 consecutive estrous cycles from individually housed, non-pregnant female C57BL/6J mice (n = 10) fed a control diet. Estrous stage was identified by cell type predominance in vaginal cytological samples. The corresponding fecal pellets for each estrous stage were processed for bacterial 16S rRNA sequencing of the variable 3 (V3) region. Results: Estrous cycle stage accounted for a very small and not statistically significant proportion of the variation in the fecal microbiota according to PERMANOVA testing performed on Bray-Curtis dissimilarity scores. These values displayed no significant clustering of fecal microbial communities by estrous stage. Conclusion: The estrous cycle does not result in any significant shift in the intestinal microbial community in the reproductively mature, regularly cycling female mouse.
Advance morphological filtering, correlation and convolution method for gesture recognition

Hand gesture recognition system is employed to provide interface between computer and human using hand gesture. This paper presents a technique for human computer interface through common hand gesture that is efficient to commemorate 25 aspersion gestures from the American sign language hand alphabet. The prospect of this paper is to develop up an algorithm for hand gesture recognition with reasonable accuracy. This work uses a domain independent learning methodology to automatically stir low-level spatio-temporal descriptors for high-level cross recognition by Correlated variance programming. Feature extraction is the most important orientation for gesture recognition and is indeed important in terms of giving input to a classifier. In this work Canny edge detector algorithm is used to find edge of the segmented and morphological filtered image which yields boundary of hand gesture in the image then Correlated variance mean based programming applied for recognition of gesture. Experimental results very precisely indicate that the developed method outperforms the existing state of the art.
Diagnostic and prognostic value of microRNAs in cholangiocarcinoma: a systematic review and meta-analysis

Background and aim Several dysregulated microRNAs (miRNAs) have been implicated in the pathogenesis of cholangiocarcinoma (CCA); however, small sample sizes and invariable research designs are limitations, hindering a thorough analysis of miRNAs as diagnostic and prognostic tools for CCA. This study aimed to systematically summarize the clinical value of miRNAs in human CCA both for all available miRNAs and single miRNA with multiple researches. Methods Pooled parameters included the area under the curve (AUC), sensitivity, specificity, and hazard ratios (HRs) to separately determine overall diagnostic and prognostic performance. Subgroup and sensitivity analyses were performed only in the event of heterogeneity. Thirty-four studies including 12 diagnostic studies and 22 prognostic studies were eligible for inclusion in this meta-analysis. Results We observed that miR-21, miR-26, miR-483, miR-106a, miR-150, miR-192, and miR-194 were employed for distinguishing patients with CCA from healthy controls. Pooled sensitivity, specificity, and AUC were 0.82 (95% confidence interval [CI] 0.77–0.86), 0.83 (95% CI 0.75–0.89), and 0.88 (95% CI 0.85–0.91), respectively. Abnormal expression of miR-21, miR-26a, miR-192, miR-200c, miR-221, miR-29a, miR-191, miR-181c, miR-34a, miR-106a, miR-203, and miR-373 in patients was confirmed to associate with poor survival rate. Pooled HRs and 95% CIs were calculated using STATA, resulting in the pooled HR of 1.47 (95% CI 0.91–2.37) for overall survival (OS), 0.67 (95% CI 0.16–2.81) for disease-free survival (DFS), 2.31 (95% CI 1.59–3.36) for progression-free survival (PFS), and 2.68 (95% CI 0.88–8.15) for relapse-free survival (RFS). Thus, CCA patients with dysregulated miRNA expression were confirmed to have shorter OS, DFS, PFS, and RFS. Data regarding the diagnostic and prognostic roles of miR-21 suggested pooled diagnostic results of miR-21 for sensitivity, specificity, and AUC were 0.85 (95% CI 0.76–0.91), 0.92 (95% CI 0.81–0.97), and 0.93 (95% CI 0.91–0.95), respectively, suggesting better diagnostic performance of miR-21 compared with other miRNAs. Meanwhile, pooled prognostic result of miR-21 for HR was 1.88 (95% CI 1.41–2.51), indicating miR-21 could more appropriately predict shorter OS in patients with CCA. Conclusion miRNAs may provide a new approach for clinical application, and miR-21 may be a promising biomarker for diagnosis and prognosis of CCA.
Dual-Frequency SIW cavity-backed slot antenna using two high-order modes

In this paper, a novel dual-frequency substrate integrated waveguide (SIW) cavity-backed slot antenna using two high-order modes is presented. Determined by the locations and types of the feeding and radiator, the high-order hybrid mode (superposition of TM310 and TM130) and another higher-order mode TM320 in SIW cavity are excited by an inductive window for dual-band application in K-band. The simulated results of the proposed antenna show that the 10-dB impedance bandwidths at resonant frequencies of 21.2 and 26.1 GHz are 400 MHz and 800 MHz, and the realized gains at boresight direction are around 10.7 and 11.9 dBi, respectively. Including its high gain, the designed dual-frequency antenna has the advantages of high front-to-back ratio and low cross polarization level.
Novel Insights into Selection for Antibiotic Resistance in Complex Microbial Communities

ABSTRACT Recent research has demonstrated that selection for antibiotic resistance occurs at very low antibiotic concentrations in single-species experiments, but the relevance of these findings when species are embedded in complex microbial communities is unclear. We show that the strength of selection for naturally occurring resistance alleles in a complex community remains constant from low subinhibitory to above clinically relevant concentrations. Selection increases with antibiotic concentration before reaching a plateau where selection remains constant over a 2-order-magnitude concentration range. This is likely to be due to cross protection of the susceptible bacteria in the community following rapid extracellular antibiotic degradation by the resistant population, shown experimentally through a combination of chemical quantification and bacterial growth experiments. Metagenome and 16S rRNA analyses of sewage-derived bacterial communities evolved under cefotaxime exposure show preferential enrichment for blaCTX-M genes over all other beta-lactamase genes, as well as positive selection and co-selection for antibiotic resistant, opportunistic pathogens. These findings have far-reaching implications for our understanding of the evolution of antibiotic resistance, by challenging the long-standing assumption that selection occurs in a dose-dependent manner. IMPORTANCE Antibiotic resistance is one of the greatest global issues facing society. Still, comparatively little is known about selection for resistance at very low antibiotic concentrations. We show that the strength of selection for clinically important resistance genes within a complex bacterial community can remain constant across a large antibiotic concentration range (wide selective space). Therefore, largely understudied ecological compartments could be just as important as clinical environments for selection of antibiotic resistance. IMPORTANCE Antibiotic resistance is one of the greatest global issues facing society. Still, comparatively little is known about selection for resistance at very low antibiotic concentrations. We show that the strength of selection for clinically important resistance genes within a complex bacterial community can remain constant across a large antibiotic concentration range (wide selective space). Therefore, largely understudied ecological compartments could be just as important as clinical environments for selection of antibiotic resistance.
Theorizing additional reviews and its effect for online goods sales

With the booming of the Internet, online shopping has gradually become the preferred way for people to buy things. During online shopping, online-shopping reviews have a strong impact on consumers’ purchasing behavior and sales of online goods. With the continuous improvement of the e-commence platform review system, online-shopping additional reviews appeared. With a higher degree of credibility, it is a supplement and amendment to the original reviews. Its impact on the sale of online goods is more far-reaching. Most of the existing studies focus on the first reviews of online shopping and there is little discussion on the additional reviews. This article chooses the additional reviews as a breakthrough point and selects online goods as the research object to study the effect of additional reviews for online goods sales.
Neuroproteomics — LC-MS Quantitative Approaches

Neuroproteomics is a scientific field that aims to study all the proteins of the central nervous system, their expression, function, and interactions. The central nervous sys‐ tem is intricate and heterogeneous, and the study of its proteome is consequently complex, with many biological questions still requiring deep investigation. For this, mass spectrometry approaches, most often coupled with liquid chromatography (LCMS), have been the number one choice in proteomics, and over the years it has added many important findings to the field. At this point it is important that proteomics turns to the quantitative expression of proteins instead of only identifying which pro‐ teins are present in a given sample, much because the most important alterations may be slight alterations in the quantity of a protein in a given situation. Therefore, many LC-MS quantitative approaches have been developed relying on the labeling of the proteins or even by using label-free techniques. In this chapter, a brief description of the principles and procedures of several approaches used for relative and absolute, targeted and untargeted quantification of proteins is presented, complemented with a literature revision of their application in the neurosciences field.
THREE LIKE 2 modulates the expression of protein-coding genes 1 via 24-nucleotide small interfering RNA-directed DNA methylation 2 3

33 RNaseIII enzymes catalyze the cleavage of double-stranded RNA (dsRNA) and have diverse 34 functions in RNA maturation. Arabidopsis thaliana RNASE THREE LIKE2 (RTL2), which 35 carries one RNaseIII and two dsRNA-binding (DRB) domains, is a unique Arabidopsis 36 RNAseIII enzyme resembling the budding yeast small interfering RNA (siRNA)-producing 37 Dcr1 enzyme. Here we show that RTL2 modulates the production of a subset of small RNAs 38 and that this activity depends on both its RNaseIII and DRB domains. However, the mode of 39 action of RTL2 differs from that of Dcr1. Whereas Dcr1 directly cleaves dsRNAs into 2340 nucleotide siRNAs, RTL2 likely cleaves dsRNAs into longer molecules, which are 41 subsequently processed into small RNAs by the DICER-LIKE enzymes. Depending on the 42 dsRNA considered, RTL2-mediated maturation either improves (RTL2-dependent loci) or 43 reduces (RTL2-sensitive loci) the production of small RNAs. Because the vast majority of 44 RTL2-regulated loci correspond to transposons and intergenic regions producing 2445 nucleotide siRNAs that guide DNA methylation, RTL2 depletion modifies DNA methylation 46 in these regions. Nevertheless, 13% of RTL2-regulated loci correspond to protein coding 47 genes. We show that changes in 24-nucleotide siRNA levels also affect DNA methylation 48 levels at such loci and inversely correlate with mRNA steady-state levels, thus implicating 49 RTL2 in the regulation of protein-coding gene expression. 50
ON THE FORMATION OF CO2 AND OTHER INTERSTELLAR ICES

We investigate the formation and evolution of interstellar dust-grain ices under dark-cloud conditions, with a particular emphasis on CO2. We use a three-phase model (gas/surface/mantle) to simulate the coupled gas–grain chemistry, allowing the distinction of the chemically active surface from the ice layers preserved in the mantle beneath. The model includes a treatment of the competition between barrier-mediated surface reactions and thermal-hopping processes. The results show excellent agreement with the observed behavior of CO2, CO, and water ice in the interstellar medium. The reaction of the OH radical with CO is found to be efficient enough to account for CO2 ice production in dark clouds. At low visual extinctions, with dust temperatures ≳12 K, CO2 is formed by direct diffusion and reaction of CO with OH; we associate the resultant CO2-rich ice with the observational polar CO2 signature. CH4 ice is well correlated with this component. At higher extinctions, with lower dust temperatures, CO is relatively immobile and thus abundant; however, the reaction of H and O atop a CO molecule allows OH and CO to meet rapidly enough to produce a CO:CO2 ratio in the range ∼2–4, which we associate with apolar signatures. We suggest that the observational apolar CO2/CO ice signatures in dark clouds result from a strongly segregated CO:H2O ice, in which CO2 resides almost exclusively within the CO component. Observed visual-extinction thresholds for CO2, CO, and H2O are well reproduced by depth-dependent models. Methanol formation is found to be strongly sensitive to dynamical timescales and dust temperatures.
COMS 4772 Fall 2014 Introduction

Consider a scenario where you have to repeatedly make a decision on some important matter, and each decision has some quantifiable consequence which you would like to optimize. Formally, suppose there are T rounds of this decision-making game. In each round, you (the “learner”) must choose between two actions, {−1,+1}. Your adversary (Nature) picks one of the actions for that round to be correct, and the other action is a mistake. You would like to minimize the number of mistakes you make over the T rounds. So far, this setting is impossibly abstract. Whatever actions you choose, they could all be correct, or they could all be mistakes, . Let’s make things more tractable. Suppose that before choosing your action in each round, you receive a recommended action from each of N experts. Why should this help? Our hope is that some (maybe just one! ) of the experts make good recommendations over the T rounds—we will formalize this shortly. If this is the case, we can then try to just do (almost) as well as the best of these experts.
Loss aversion on the phone 1

We analyze consumer switching between mobile tariff plans using consumer-level panel data. Consumers receive reminders from a specialist price-comparison website about the precise amount they could save by switching to alternative plans. We find that the effect on switching of being informed about potential savings is positive and significant. Controlling for savings, we also find that the effect of incurring overage payments is also significant and six times larger in magnitude. Paying an amount that exceeds the recurrent monthly fee weighs more on the switching decision than being informed that one can save that same amount by switching to a less inclusive plan, implying that avoidance of losses motivates switching more than the realization of equal-sized gains. We interpret this as evidence of loss aversion. We are also able to weigh how considerations of risk versus loss aversion affect mobile tariff plan choices: we find that a uniform attitude towards risk in both losses and gains has no significant influence on predicting consumers’ switching, whereas perceiving potential savings as avoidance of losses, rather than as gains, has a strong and positive effect.
The New Cartographers: Crisis Map Mashups and the Emergence of Neogeographic Practice

Crisis situations are ripe for expansion of the neogeographer population and skill set. We qualitatively examine the design and creation of crisis map mashups to describe emergent neogeographic practices in this particular domain. We analyze the circumstances that led to their creation, data selection, and design choices vis-à-vis spatial and temporal information representation. We then discuss the implications of emergent neogeographic practice based on two case examples, which illustrate the merging of professional and participatory geotechnologies, and the opportunity a blending of the two provides for widespread cartographic literacy.
ELECTRON IRRADIATION OF CARBON DISULFIDE–OXYGEN ICES: TOWARD THE FORMATION OF SULFUR-BEARING MOLECULES IN INTERSTELLAR ICES

The formation of sulfur-bearing molecules in interstellar ices was investigated during the irradiation of carbon disulfide (CS2)–oxygen (O2) ices with energetic electrons at 12 K. The irradiation-induced chemical processing of these ices was monitored online and in situ via Fourier transform infrared spectroscopy to probe the newly formed products quantitatively. The sulfur-bearing molecules produced during the irradiation were sulfur dioxide (SO2), sulfur trioxide (SO3), and carbonyl sulfide (OCS). Formations of carbon dioxide (CO2), carbon monoxide (CO), and ozone (O3) were observed as well. To fit the temporal evolution of the newly formed products and to elucidate the underlying reaction pathways, kinetic reaction schemes were developed and numerical sets of rate constants were derived. Our studies suggest that carbon disulfide (CS2) can be easily transformed to carbonyl sulfide (OCS) via reactions with suprathermal atomic oxygen (O), which can be released from oxygen-containing precursors such as water (H2O), carbon dioxide (CO2), and/or methanol (CH3OH) upon interaction with ionizing radiation. This investigation corroborates that carbonyl sulfide (OCS) and sulfur dioxide (SO2) are the dominant sulfur-bearing molecules in interstellar ices.
Sinus floor elevation using a sintered , natural bone mineral

Einleitung: Implantatgetragene, prothetische Versorgungen des seitlichen Oberkiefers bedürfen nicht selten einer Anhebung des Kieferhöhlenbodens, um Implantate ausreichender Länge langzeitstabil aufnehmen zu können. Dieses als Sinusbodenelevation oder Sinuslift bezeichnete Verfahren stellt die häufigste Therapieform vertikaler Knochendefizite der Maxilla dar. Zielsetzung: Ziel der vorliegenden Untersuchung war die histologische und klinische Bewertung eines xenogenen Knochenersatzmaterials (BEGO OSS, BEGO Implant Systems, Bremen) für die Indikationen einund zweizeitige Sinusbodenelevation. Material und Methode: Bei zwölf Patienten wurden insgesamt 15 simultane oder zweizeitige Sinusbodenelevationen durchgeführt. Sie wurden klinisch sowie bei zweizeitiger Vorgehensweise auch histologisch und histomorphometrisch nachuntersucht. Die Heilungsperiode betrug sechs Monate. Ergebnisse: Klinisch zeigte sich bei allen Patienten nach komplikationsloser primärer Wundheilung eine gute knöcherne Konsolidierung des fazialen Kieferhöhlenfensters. Resorptionen oder Dislokationen des Materials ließen sich nicht feststellen. Röntgenologisch wurde eine deutliche Volumenstabilität beobachtet. Histologisch zeigte sich regelhaft eine vollständige knöcherne Integration der Augmentate. Dabei betrug der Anteil neu gebildeten Knochens innerhalb der augmentierten Bereiche 25,8–49,6 %. Der Anteil an Knochenersatzmaterial betrug 28,6–38,5 %. Schlussfolgerung: BEGO OSS als osteokonduktives Augmentationsmaterial im Sinus wird innerhalb von sechs Monaten volumenstabil ossär integriert und ist für die einund zweizeitige Sinusbodenelevation geeignet.