bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of intraoperative autologous transfusion techniques on perioperative hemoglobin level in idiopathic scoliosis patients undergoing posterior spinal fusion: A prospective randomized trial
Authors: Hasan M Shahnaz , Choe Ng Ching , Chan Chris Yin Wei , Chiu Chee Kidd , Kwan Mun Keong 
Published: July 2017

Background: Massive blood loss during posterior spinal fusion for adolescent idiopathic scoliosis remains a significant risk for patients. There is no consensus on the benefit of acute normovolemic hemodilution (ANH) or intraoperative cell salvage (ICS) in scoliosis surgery. Methods: Patients were randomized to one of two groups. Group A received ANH and ICS during operation, while group B received only ICS. Patients’ age, sex, height, weight, body blood volume, number of fusion level, Cobb angle, number of screws, duration of surgery, and skin incision length were recorded. Hemoglobin and hematocrit levels were obtained preoperatively and postoperatively (0 h and 24 h). Results: There were 22 patients in each group. There was no significant difference in total blood loss. The perioperative decrease in hemoglobin levels between preoperation and postoperation 24 h (group A 2.79 ± 1.15 and group B 2.76 ± 1.00) showed no significant difference ( p = 0.93). Group A observed a larger decrease in hemoglobin levels at postoperative 0 h relative to preoperative level (2.57 ± 0.82 g/dl), followed by a smaller decrease within the next 24 h (0.22 ± 1.33 g/dl). Group B showed a continued drop in hemoglobin levels of similar magnitude at postoperation 0 h (1.60 ± 0.67 g/dl) and within the next 24 h (1.16 ± 0.78 g/dl). One patient from group B received 1 unit of allogenic blood transfusion ( p = 0.33). Conclusions: The addition of ANH to ICS in posterior spinal fusion surgery for AIS resulted in a similar decrease in hemoglobin levels between preoperative values and at 24 h postoperatively.
Equipment and Processing Considerations for Thin Gauge PP Sheet
Authors: Lamont Paul R. 
Published: July 2017

The extrusion of thin gauge sheet, defined here as having a thickness of less than 25 mils (0.63 mm), from nucleated polypropylene (PP) homopolymer can be difficult due to the rapid heat transfer and fast crystallization rate during the sheet forming/cooling process. It requires the proper extrusion equipment and special processing techniques which are explored in detail in this paper. The extruder screw, flat die, and three roll stack must be designed specifically for thin gauge PP sheet. Successful extrusion requires careful manipulation of the following interdependent processing variables: roll temperature, melt temperature, die gap, roll gap, nip pressure, and air gap.
TCR-CXCR4 signaling stabilizes cytokine mRNA transcripts via a PREX1-Rac1 pathway: implications for CTCL
Authors: Kremer Kimberly N. , Dinkel Brittney A. , Sterner Rosalie M. , Osborne Douglas G. , Jevremovic Dragan , Hedin Karen E. 
Published: July 2017

Key Points
T-cell activation induces TCR transactivation of CXCR4 to stabilize cytokine mRNA transcripts via a PREX1-Rac1–signaling pathway. Inhibition of the TCR-CXCR4–signaling pathway impairs TCR-dependent and TCR-independent cytokine secretion by CTCL cells.
Numerically Safe Lower Bounds for the Capacitated Vehicle Routing Problem
Authors: Fukasawa Ricardo , Poirrier Laurent 
Published: July 2017

The resolution of integer programming problems is typically performed via branch and bound. Nodes of the branch-and-bound tree are pruned whenever the corresponding subproblem is proven not to contain a solution better than the best solution found so far. This is a key ingredient for achieving reasonable solution times. However, since subproblems are solved in floating-point arithmetic, numerical errors can occur and may lead to inappropriate pruning. As a consequence, optimal solutions may be cut off. We propose several methods for avoiding this issue, in the special case of a branch-cut-and-price formulation for the capacitated vehicle routing problem. The methods are based on constructing dual feasible solutions for the linear programming relaxations of the subproblems and obtaining, by weak duality, bounds on their objective function value. Such approaches have been proposed before for formulations with a small number of variables (dual constraints), but the problem becomes more complex when the number of variables is exponentially large, which is the case in consideration. We show that, in practice, along with being safe, our bounds are stronger than those usually employed, obtained with unsafe floating-point arithmetic plus some heuristic tolerance, and all of this at a negligible computational cost. We also discuss some potential advantages and other uses of our safe bounds derivation. The online supplement is available at https://doi.org/10.1287/ijoc.2017.0747 .
Product Quality in a Distribution Channel with Inventory Risk
Authors: Jerath Kinshuk , Kim Sang-Hyun , Swinney Robert 
Published: July 2017

In many industries, product design and manufacturing lead times are sufficiently long that both the quality level of a product and the amount of inventory produced must be determined before a firm knows what the actual demand will be. In this paper, we conduct a theoretical analysis of such a setting. We first consider a centralized channel and characterize the optimal decisions by establishing relationships that must hold between the elasticity of cost of quality and the elasticity of revenue and show that quality and inventory are strategic substitutes. Next, we consider a decentralized channel with a wholesale price contract, in which a manufacturer determines quality and wholesale price, while a retailer determines inventory and retail price. We find that, different from the case without endogenous inventory, product quality can be higher in a decentralized channel compared to a centralized channel, and this is because a wholesale price contract shields the manufacturer from inventory risk. For both centralized and decentralized channels, we find that as demand uncertainty increases, quality decreases, while, different from the case without endogenous quality, inventory can be U-shaped. Interestingly, to mitigate the impact of demand uncertainty on profit, quality can be a more effective lever than inventory in a centralized channel; however, in a decentralized channel, quality is less responsive and inventory is more responsive to demand uncertainty than in a centralized channel. The online appendix is available at https://doi.org/10.1287/mksc.2017.1041 .
Crystal-Chemical Regularities and Identification Criteria in Fe-Bearing, K-Dioctahedral 1M Micas from X-ray Diffraction and Infrared Spectroscopy Data
Authors: Zviagina Bella B. , Drits Victor A. , Sakharov Boris A. , Ivanovskaya Tatiana A. , Dorzhieva Olga V. , McCarty Douglas K. 
Published: July 2017

AbstractIron-bearing K-dioctahedral 1M and 1Md micas are abundant in diverse geological environments and vary in composition from illite to celadonite through Fe-illite, Al-glauconite, and glauconite. The chemistry and structural features of these micas are complex and heterogeneous, reliable diagnostic criteria are lacking, and the conventional mineralogical nomenclature is ambiguous, which complicate the identification of these mica varieties. The objectives of the present study were to reveal the structural and crystal-chemical variability in Fe-bearing, K-dioctahedral 1M micas and to define composition ranges and identification criteria for the mica varieties in the series. A collection of samples of various compositions was studied using X-ray diffraction (XRD) and Fourier-transform infrared (FTIR) spectroscopy. Analysis of the relationships between unit-cell parameters and cation composition showed that the series included four groups, namely, Fe-bearing illites, Al-glauconites, glauconites, and celadonites and each group was characterized by a specific combination of unit-cell parameters and variation ranges. The illite group contained two distinct subgroups; Fe-bearing, Mg-rich illites and Feillites; which differ in the range of cation compositions and in FTIR characteristics. The boundary between Fe-illites and Al-glauconites occurs at a unit cell b value of ~9.05 Å and at ratios of octahedral Al to total trivalent octahedral cations that range between 0.60 and 0.65. The partially overlapping cation composition and cell parameter ranges may complicate the distinction between Al-glauconites and glauconites, which can still be unambiguously differentiated using FTIR data. The dramatically different XRD and FTIR characteristics confirmed that glauconite and celadonite should be treated as separate mineral species. The distinctive features of celadonite are relatively low csinβ values and reduced |ccosβ/a| values combined with b parameters lower than glauconites, but similar to Fe-illites. Celadonites also have distinct and sharp FTIR absorption bands at specific positions in the Si-O and OH stretching regions.
Face Recognition using Segmental Euclidean Distance
Authors: Sayeed Farrukh , Hanmandlu Madasu , Ansari Abdul Quaiyum 
Published: July 2017

<p>In this paper an attempt has been made to detect the face using the combination of integral image along with the cascade structured classifier which is built using Adaboost learning algorithm. The detected faces are then passed through a filtering process for discarding the non face regions. They are individually split up into five segments consisting of forehead, eyes, nose, mouth and chin. Each segment is considered as a separate image and Eigenface also called principal component analysis (PCA) features of each segment is computed. The faces having a slight pose are also aligned for proper segmentation. The test image is also segmented similarly and its PCA features are found. The segmental Euclidean distance classifier is used for matching the test image with the stored one. The success rate comes out to be 88 per cent on the CG(full) database created from the databases of California Institute and Georgia Institute. However the performance of this approach on ORL(full) database with the same features is only 70 per cent. For the sake of comparison, DCT(full) and fuzzy features are tried on CG and ORL databases but using a well known classifier, support vector machine (SVM). Results of recognition rate with DCT features on SVM classifier are increased by 3 per cent over those due to PCA features and Euclidean distance classifier on the CG database. The results of recognition are improved to 96 per cent with fuzzy features on ORL database with SVM.</p><p><strong>Defence Science Journal, 2011, 61(5), pp.431-442</strong><strong><strong>, DOI:http://dx.doi.org/10.14429/dsj.61.1178</strong></strong></p>
Automatic Selection of Initial Points for Exploratory Vessel Tracing in Fluoroscopic Images
Authors: Boroujeni Farsad Zamani , Wirza Rahmita , Rahmat O. K. , Mustapha Norwati , Affendey Lilly Suriani , Maskon Oteh 
Published: July 2017

<p>Automatic extraction of vessel centerlines has been an essential process in most of the image guided diagnosis and therapy applications. Among a considerable number of methods, direct exploratory tracing method is known to be an efficient solution for reliable extraction of vessel features from two-dimensional fluoroscopic images. The first step of most automatic exploratory tracing algorithms is collecting a number of candidate initial seed points and their initial tracing directions. To detect reliable initial points, a validation step is required to filter out the false candidates and avoid unnecessary tracing. Staring from reliable initial points, the algorithm efficiently extracts the centerline points along the initial direction until certain pre-defined criteria are satisfied. However, most of these algorithms suffer from incomplete results due to inappropriate selection of the initial seed points. The conventional seed point selection algorithms either rely merely on signal-to-noise ratio analysis, which results in a large number of false traces, or impose a set of strict geometrical validation rules that lead to more false negatives and require more computation time. This paper presents a new method for efficient selection of initial points for exploratory tracing algorithms. The proposed method improves the performance upon existing methods by employing a combination of geometrical and intensity-based approaches.</p><p><strong>Defence Science Journal, 2011, 61(5), pp.443-451</strong><strong><strong>, DOI:http://dx.doi.org/10.14429/dsj.61.1179</strong></strong></p>
Air Object Height Estimation with 2-D Radars using Fuzzy Logic
Authors: Murthy SGK , Murthy M.V.R. 
Published: July 2017

<p>Multi sensor tracking is a widely used technique in aerospace applications to estimate the target kinematics precisely. Particularly naval-based tracking systems utilize, different types of Radars (2-D, 3-D) in multi sensor tracking scenario for robust estimation. As the supplied information from 2-D Radar contains only range and azimuth values, it is difficult to estimate the height of an air object using 2-D Radar. In order to over come the limitation, a geometric method is considered to combine the information obtained from two 2-D Radars located in two different locations. As the solution of the geometric method depends upon certain geometric features, it is not possible to get good results with one pair of sensors. However to obtain better results, it is proposed and experimented more than two 2-D Radars that combined with a fuzzy logic based validation. This paper discusses the issues related to 2-D Radar tracking and the method comprising Triangulation geometry and fuzzy logic based validation method to improve the height estimation accuracy in real time.</p><p><strong>Defence Science Journal, 2011, 61(5), pp.485-490</strong><strong><strong>, DOI:http://dx.doi.org/10.14429/dsj.61.403</strong></strong></p>
Bioactive Hybrid Composite Membrane with Enhanced Antimicrobial Properties for Biomedical Applications
Authors: Davis Abin , K. Balasubramanian 
Published: July 2017

<p class="p1"> </p><p class="p2"><span class="s1"> </span><em>Azadirachta indica </em>extract has been explored as an antibiotic in hygienic chitosan matrix system to enhance antimicrobial and medicinal property in a cost effective manner. The hygienic composite system has been successfully fabricated via solvent casting. The antibacterial activities of the hybrid system were examined by agar diffusion method against gram positive <em>S.aureus </em>and gram negative <em>K. pneumoniae. </em>From conventional antibacterial test for 24 h, the system exhibited an excellent antimicrobial activity against both bacterial strains in ranges of 1.2 cm - 1.5 cm for <em>S. aureus </em>and 1.8 cm <em>- </em>2.3 cm for <em>K. pneumoniae </em>Fourier transform infrared spectroscopy revealed successfully embedded A. indica on the chitosan substrate via weak electrostatic interaction, resulting in the easy release of the additive. Moreover, atomic force microscopy showed a membrane roughness of 0.084 nm which confirms the uniform distribution of the additive throughout the membrane. These hybrid membranes have potential applications in skin tissue engineering, wound healing and as coatings for implantable scaffold material.</p>
AlPO4-C Composite Coating on Ni-based Super Alloy Substrates for High Emissivity Applications : Experimentation on Dip Coating and Spray Coating
Authors: Roy Subir , Reddy S. Rangaswamy , Sindhuja P. , Das Dipak , Bhauprasad V.V. 
Published: July 2017

<p>High emissivity coating was developed on Ni-based super alloy substrates by dip coating and spray coating technique using a chemical precursor sol. The coating material was characterised thoroughly by XRD, SEM, TEM and XPS analyses. Characterisation results showed the presence of nano carbon in the AlPO4 matrix which imparted high emissivity to the coating. Emissivity of the coating varied from 0.6 to 0.9 in the wave length range : 2 µm - 25 µm depending on the thickness of the multilayered coating. Spray coating was very effective for coating the bigger substrates and TPS panels. Emissivity offered by the spray coated substrates was little lower compared to the dip coated substrates. Emissivity offered by the spray coated substrates was little lower compared to the dip coated substrates. Cyclic oxidation performances of the coated substrates at 800 °C and 1000 °C for 100 hrs of thermal exposure were recorded and compared with that of the bare substrate. The emissivity coating was found to offer substantial oxidation resistance to the base substrate at high temperatures.</p>
The relationship between the gender of newborn babies and weight gained during pregnancy, mode of delivery and some parameters for newborn<p>Yenidoğanın cinsiyetinin gebelikte kazanılan kilo, doğum şekli ve yenidoğanın bazı parametreleri ile ilişkisi
Authors: Boybay Koyuncu Saadet , Timur Taşhan Sermin 
Published: July 2017

The study aimed to examine the relationship between the gender of newborn with weight gained during pregnancy, mode of delivery and some parameters for newborn. This study used a descriptive and cross-sectional research design. A total of 632 women who gave birth in the postpartum service at a hospital were included in the study. The data were collected using a participant information form prepared by the researcher. Chi-square test and independent sample t-test were used to analyze the data. This study found that the mean pregnancy number and whether the current pregnancy was planned or not were higher for the women whose newborn babies were girls than for those whose newborn babies were boys, and that the mean birth weight of newborn girls was lower than that of newborn boys (p<0.05). No statistically significant relationship was found between the gender of newborn babies and the weight gained during pregnancy, mode of delivery, APGAR score, the time of beginning breastfeeding and giving supplementary food to the newborn babies (p>0.05). This study found that the gender of newborn affected their birth weight and is a determinant factor for the fertility rate of women. In these cases against girls, careful attention of health professionals is needed to ensure continuous and different victimization, close attention to risky couples, is recommended for the development of women's health.Extended English abstract is in the end of PDF (TURKISH) file. ÖzetAraştırma, yenidoğanın cinsiyetinin gebelikte kazanılan kilo, doğum şekli ve yenidoğanın bazı parametreleri ile ilişkisini incelemek amacıyla yapıldı. Araştırma tanımlayıcı ve kesitsel tiptedir. Araştırmaya bir hastanenin postpartum servisinde doğum yapan 632 kadın alındı. Veriler araştırmacı tarafından hazırlanan katılımcı bilgi formu aracılığıyla toplandı. İstatistiksel analizde ki-kare testi, independent sample t testi analizi kullanıldı. Araştırmada, kız yenidoğana sahip olan kadınların ortalama gebelik sayısı ve mevcut gebeliğin planlı olma durumu erkek yenidoğana sahip olanlara göre daha yüksek (p<0.05); kız yenidoğanların ortalama doğum kilosunun ise erkeklere oranla daha düşük olduğu saptandı (p<0.05). Araştırmada yenidoğanın cinsiyeti ile gebelikte kazanılan kilo, doğum şekli, APGAR skor, emzirmeye başlama zamanı ve yenidoğana ilk 24 saat içinde ek gıda verilmesi arasında istatistiksel olarak anlamlı bir ilişki saptanmamıştır (p>0.05). Araştırmada yenidoğan cinsiyetinin yenidoğanın doğum kilosunu etkilediği ve kadının doğurganlık hızında belirleyici bir faktör olduğu belirlenen çalışmada; kadın sağlığının geliştirilmesi için, kız çocuklar aleyhine olan bu durumlarda, sürekli ve farklı mağduriyetlerin yaşanmaması için sağlık profesyonellerinin dikkatli olması, riskli çiftlerin yakından ele alınması önerilmektedir.
A single mutation in Taiwanese H6N1 influenza hemagglutinin switches binding to human‐type receptors
Authors: de Vries Robert P , Tzarum Netanel , Peng Wenjie , Thompson Andrew J , Ambepitiya Wickramasinghe Iresha N , de la Pena Alba T Torrents , van Breemen Marielle J , Bouwman Kim M , Zhu Xueyong , McBride Ryan , Yu Wenli , Sanders Rogier W , Verheije Monique H , Wilson Ian A , Paulson James C 
Published: July 2017

AbstractIn June 2013, the first case of human infection with an avian H6N1 virus was reported in a Taiwanese woman. Although this was a single non‐fatal case, the virus continues to circulate in Taiwanese poultry. As with any emerging avian virus that infects humans, there is concern that acquisition of human‐type receptor specificity could enable transmission in the human population. Despite mutations in the receptor‐binding pocket of the human H6N1 isolate, it has retained avian‐type (NeuAcα2‐3Gal) receptor specificity. However, we show here that a single nucleotide substitution, resulting in a change from Gly to Asp at position 225 (G225D), completely switches specificity to human‐type (NeuAcα2‐6Gal) receptors. Significantly, G225D H6 loses binding to chicken trachea epithelium and is now able to bind to human tracheal tissue. Structural analysis reveals that Asp225 directly interacts with the penultimate Gal of the human‐type receptor, stabilizing human receptor binding.
ASPsiRNA: A Resource of ASP-siRNAs Having Therapeutic Potential for Human Genetic Disorders and Algorithm for Prediction of Their Inhibitory Efficacy
Authors: Monga Isha , Qureshi Abid , Thakur Nishant , Gupta Amit Kumar , Kumar Manoj 
Published: July 2017

AbstractAllele-specific siRNAs (ASP-siRNAs) have emerged as promising therapeutic molecules owing to their selectivity to inhibit the mutant allele or associated single-nucleotide polymorphisms (SNPs) sparing the expression of the wild-type counterpart. Thus, a dedicated bioinformatics platform encompassing updated ASP-siRNAs and an algorithm for the prediction of their inhibitory efficacy will be helpful in tackling currently intractable genetic disorders. In the present study, we have developed the ASPsiRNA resource (http://crdd.osdd.net/servers/aspsirna/) covering three components viz (i) ASPsiDb, (ii) ASPsiPred, and (iii) analysis tools like ASP-siOffTar. ASPsiDb is a manually curated database harboring 4543 (including 422 chemically modified) ASP-siRNAs targeting 78 unique genes involved in 51 different diseases. It furnishes comprehensive information from experimental studies on ASP-siRNAs along with multidimensional genetic and clinical information for numerous mutations. ASPsiPred is a two-layered algorithm to predict efficacy of ASP-siRNAs for fully complementary mutant (Effmut) and wild-type allele (Effwild) with one mismatch by ASPsiPredSVM and ASPsiPredmatrix, respectively. In ASPsiPredSVM, 922 unique ASP-siRNAs with experimentally validated quantitative Effmut were used. During 10-fold cross-validation (10nCV) employing various sequence features on the training/testing dataset (T737), the best predictive model achieved a maximum Pearson’s correlation coefficient (PCC) of 0.71. Further, the accuracy of the classifier to predict Effmut against novel genes was assessed by leave one target out cross-validation approach (LOTOCV). ASPsiPredmatrix was constructed from rule-based studies describing the effect of single siRNA:mRNA mismatches on the efficacy at 19 different locations of siRNA. Thus, ASPsiRNA encompasses the first database, prediction algorithm, and off-target analysis tool that is expected to accelerate research in the field of RNAi-based therapeutics for human genetic diseases.