bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Progress in Metal–Organic Frameworks and Their Derived Nanostructures for Energy and Environmental Applications
Authors: Xie Zhiqiang , Xu Wangwang , Cui Xiaodan , Wang Ying 
Published: February 2017

AbstractMetal–organic frameworks (MOFs), as a very promising category of porous materials, have attracted increasing interest from research communities due to their extremely high surface areas, diverse nanostructures, and unique properties. In recent years, there is a growing body of evidence to indicate that MOFs can function as ideal templates to prepare various nanostructured materials for energy and environmental cleaning applications. Recent progress in the design and synthesis of MOFs and MOF‐derived nanomaterials for particular applications in lithium‐ion batteries, sodium‐ion batteries, supercapacitors, dye‐sensitized solar cells, and heavy‐metal‐ion detection and removal is reviewed herein. In addition, the remaining major challenges in the above fields are discussed and some perspectives for future research efforts in the development of MOFs are also provided.
Distributed fuzzy logic based energy‐aware and coverage preserving unequal clustering algorithm for wireless sensor networks
Authors: Mazumdar Nabajyoti , Om Hari 
Published: February 2017

SummaryIn an energy‐constrained wireless sensor networks (WSNs), clustering is found to be an effective strategy to minimize the energy depletion of sensor nodes. In clustered WSNs, network is partitioned into set of clusters, each having a coordinator called cluster head (CH), which collects data from its cluster members and forwards it to the base station (BS) via other CHs. Clustered WSNs often suffer from the hot spot problem where CHs closer to the BS die much early because of high energy consumption contributed by the data forwarding load. Such death of nodes results coverage holes in the network very early. In most applications of WSNs, coverage preservation of the target area is a primary measure of quality of service. Considering the energy limitation of sensors, most of the clustering algorithms designed for WSNs focus on energy efficiency while ignoring the coverage requirement. In this paper, we propose a distributed clustering algorithm that uses fuzzy logic to establish a trade‐off between the energy efficiency and coverage requirement. This algorithm considers both energy and coverage parameters during cluster formation to maximize the coverage preservation of target area. Further, to deal with hot spot problem, it forms unequal sized clusters such that more CHs are available closer to BS to share the high data forwarding load. The performance of the proposed clustering algorithm is compared with some of the well‐known existing algorithms under different network scenarios. The simulation results validate the superiority of our algorithm in network lifetime, coverage preservation, and energy efficiency.
Quantifying three‐dimensional morphology and RNA from individual embryos
Authors: Green Rebecca M. , Leach Courtney L. , Hoehn Natasha , Marcucio Ralph S. , Hallgrímsson Benedikt 
Published: February 2017

AbstractQuantitative analysis of morphogenesis aids our understanding of developmental processes by providing a method to link changes in shape with cellular and molecular processes. Over the last decade, many methods have been developed for 3D imaging of embryos using microCT scanning to quantify the shape of embryos during development. These methods generally involve a powerful, cross‐linking fixative such as paraformaldehyde to limit shrinkage during the CT scan. However, the extended time frames that these embryos are incubated in such fixatives prevent use of the tissues for molecular analysis after microCT scanning. This is a significant problem because it limits the ability to correlate variation in molecular data with morphology at the level of individual embryos. Here we outline a novel method that allows RNA, DNA, or protein isolation following CT scan while also allowing imaging of different tissue layers within the developing embryo. We show shape differences early in craniofacial development (E11.5) between common mouse genetic backgrounds, and demonstrate that we are able to generate RNA from these embryos after CT scanning that is suitable for downstream real time PCR (RT‐PCR) and RNAseq analyses. Developmental Dynamics 246:431–436, 2017. © 2017 Wiley Periodicals, Inc.
Impact of low‐weight severity and menstrual status on bone in adolescent girls with anorexia nervosa
Authors: Kandemir Nurgun , Becker Kendra , Slattery Meghan , Tulsiani Shreya , Singhal Vibha , Thomas Jennifer J. , Coniglio Kathryn , Lee Hang , Miller Karen K. , Eddy Kamryn T. , Klibanski Anne , Misra Madhusmita 
Published: February 2017

AbstractClinicians currently use different low‐weight cut‐offs both to diagnose anorexia nervosa (AN) and to determine AN severity in adolescent girls. The purpose of this study was to evaluate the clinical utility of existing cut‐offs and severity criteria by determining which are most strongly associated with risk for low bone mineral density (BMD). Height adjusted BMD Z scores were calculated for 352 females: 262 with AN and 90 healthy controls (controls) (12–20.5 years), using data from the BMD in Childhood Study, for the lumbar spine, whole body less head, and total hip. For most cut‐offs used to define low weight (5th or 10th BMI percentile, BMI of 17.5 or 18.5, and 85 or 90% of median BMI), AN had lower BMD Z scores than controls. AN at >85 or >90% expected body weight for height (EBW‐Ht) did not differ in BMD Z scores from controls, but differed significantly from AN at ≤85 or ≤90% EBW‐Ht. Among AN, any amenorrhea was associated with lower BMD. AN had lower BMD than controls across DSM‐5 and The Society for Adolescent Health and Medicine (SAHM) severity categories. The SAHM moderate severity classification was differentiated from the mildly malnourished classification by lower BMD at hip and spine sites. Amenorrhea and %EBW‐Ht ≤ 85 or ≤ 90% are markers of severity of bone loss within AN. Among severity categories, BMI Z scores (SAHM) may have the greatest utility in assessing the degree of malnutrition in adolescent girls that corresponds to lower BMD.
Catalytic Water‐Oxidation Activity of a Weakly Coupled Binuclear Ruthenium Polypyridyl Complex
Authors: Matias Tiago A. , Mangoni Ana P. , Toma Sergio H. , Rein Francisca N. , Rocha Reginaldo C. , Toma Henrique E. , Araki Koiti 
Published: February 2017

AbstractInvited for the cover of this issue is the group of Koiti Araki from the University of São Paulo, Brazil. The cover image shows the oxidation of water to O2 by an angular “Pacman‐like” binuclear Ru complex with weak coupling between catalytic sites.
Connectivity strength‐weighted sparse group representation‐based brain network construction for MCI classification
Authors: Yu Renping , Zhang Han , An Le , Chen Xiaobo , Wei Zhihui , Shen Dinggang 
Published: February 2017

AbstractBrain functional network analysis has shown great potential in understanding brain functions and also in identifying biomarkers for brain diseases, such as Alzheimer's disease (AD) and its early stage, mild cognitive impairment (MCI). In these applications, accurate construction of biologically meaningful brain network is critical. Sparse learning has been widely used for brain network construction; however, its l1‐norm penalty simply penalizes each edge of a brain network equally, without considering the original connectivity strength which is one of the most important inherent linkwise characters. Besides, based on the similarity of the linkwise connectivity, brain network shows prominent group structure (i.e., a set of edges sharing similar attributes). In this article, we propose a novel brain functional network modeling framework with a “connectivity strength‐weighted sparse group constraint.” In particular, the network modeling can be optimized by considering both raw connectivity strength and its group structure, without losing the merit of sparsity. Our proposed method is applied to MCI classification, a challenging task for early AD diagnosis. Experimental results based on the resting‐state functional MRI, from 50 MCI patients and 49 healthy controls, show that our proposed method is more effective (i.e., achieving a significantly higher classification accuracy, 84.8%) than other competing methods (e.g., sparse representation, accuracy = 65.6%). Post hoc inspection of the informative features further shows more biologically meaningful brain functional connectivities obtained by our proposed method. Hum Brain Mapp 38:2370–2383, 2017. © 2017 Wiley Periodicals, Inc.
Complementary role of the Memorial Sloan Kettering Cancer Center nomogram to the American Joint Committee on Cancer system for the prediction of relapse of major salivary gland carcinoma after surgery
Authors: Chou Wen‐Chi , Chang Kai‐Ping , Lu Chang‐Hsien , Chen Miao‐Fen , Cheng Yu‐Fan , Yeh Kun‐Yun , Wang Cheng‐Hsu , Lin Yung‐Chang , Yeh Ta‐Sen 
Published: February 2017

ABSTRACTBackgroundThe purpose of this study was to test the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram in predicting recurrence risk of major salivary gland carcinoma in an Asian cohort.MethodsWe retrospectively enrolled 149 patients who had undergone intended curative resections for major salivary gland carcinoma between 2007 and 2012. The performance of the MSKCC nomogram and the American Joint Committee on Cancer (AJCC) seventh staging system in predicting recurrence risk was compared.ResultsThe MSKCC nomogram and the AJCC staging system both accurately predicted the 5‐year recurrence probabilities, with the concordance index (c‐index = 0.82; 95% confidence interval [CI], 0.75–0.89 vs c‐index, 0.77; 95% CI, 0.68–0.87; p = .45) in patients with major salivary gland carcinomas after curative surgeries. Comparing to the actual observed events, the calibration plot indicated that the MSKCC nomogram accurately estimated the recurrence in low‐risk groups but tended to overestimate in high‐risk groups. When using the MSKCC nomogram to predict the 5‐year recurrence‐free probability in each AJCC stage, the prediction was very good for patients with AJCC stages I and II disease (c‐index = 0.92 and 0.90, respectively) and modest for those of AJCC stages III and IVa (c‐index = 0.51 and 0.62, respectively).ConclusionThe MSKCC nomogram and the AJCC staging system each had its value in predicting recurrence of major salivary gland cancers. When using the MSKCC nomogram to predict the 5‐year recurrence‐free probability in each AJCC stage, the MSKCC nomogram was more accurate in predicting recurrence risks in those patients with AJCC stage I and II diseases than those with late‐stage diseases. © 2017 Wiley Periodicals, Inc. Head Neck 39: 860–867, 2017
Effect of prophylactic percutaneous endoscopic gastrostomy tube on swallowing in advanced head and neck cancer: A randomized controlled study
Authors: Axelsson Lars , Silander Ewa , Nyman Jan , Bove Mogens , Johansson Leif , Hammerlid Eva 
Published: February 2017

ABSTRACTBackgroundDysphagia is common in head and neck cancer. A percutaneous endoscopic gastrostomy (PEG) tube is used to facilitate nutrition; however, some retrospective studies have indicated that the PEG tube causes dysphagia.MethodsA randomized study of patients with head and neck cancer was conducted with up to 10 years of follow‐up. Patients were randomized to either the prophylactic PEG tube group (study group) or the common clinical nutritional support group (control group). At each follow‐up, a dietician assessed the oral intake, noted the patients' weight, and if the patients used a PEG tube. Dysphagia was also assessed by the quality of life questionnaire, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐Core 30 Head and Neck 35‐questions (EORTC‐QLQ‐H&N35).ResultsOne hundred thirty‐four patients were included in this study. There was no significant difference in swallowing function between the groups after 12 months, 24 months, and 8 years based on the EORTC‐QLQ‐H&N35, the oral intake scale, tube dependence, esophageal intervention, weight, body mass index (BMI), and overall survival.ConclusionA prophylactic PEG tube can be used without an increased risk of long‐term dysphagia in patients with head and neck cancer. © 2017 Wiley Periodicals, Inc. Head Neck 39: 908–915, 2017
microRNA‐577 suppresses tumor growth and enhances chemosensitivity in colorectal cancer
Authors: Jiang Haiping , Ju Hui , Zhang Lin , Lu Haijun , Jie Kan 
Published: February 2017

AbstractIn this work, we aimed to determine the expression and biological functions of microRNA (miR)‐577 in colorectal cancer (CRC). The results showed that miR‐577 was downregulated in CRC specimens and cell lines. Restoration of miR‐577 significantly suppressed the proliferation and colony formation and induced a G0/G1 cell cycle arrest in CRC cells. 5‐Fluorouracil (5‐FU)‐resistant SW480 cells (SW480/5‐FU) were found to have elevated levels of miR‐577. Ectopic expression of miR‐577 enhanced 5‐FU sensitivity in SW480/5‐FU cells. Heat shock protein 27 (HSP27) was identified as a target gene of miR‐577. Enforced expression of HSP27 reversed the effects of miR‐577 on CRC cell growth and 5‐FU sensitivity. Xenograft tumors derived from miR‐577‐overexpressing SW480 cells exhibited significantly slower growth than control tumors. In conclusion, our results support that miR‐577 acts as a tumor suppressor in CRC likely through targeting HSP27. Therefore, miR‐577 may have therapeutic potential in the treatment of CRC.
Can diffusion‐weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?
Authors: Hecht Elizabeth M. , Liu Michael Z. , Prince Martin R. , Jambawalikar Sachin , Remotti Helen E. , Weisberg Stuart W. , Garmon Donald , Lopez‐Pintado Sara , Woo Yanghee , Kluger Michael D. , Chabot John A. 
Published: February 2017

PurposeTo assess the relationship between diffusion‐weighted imaging (DWI) and intravoxel incoherent motion (IVIM)‐derived quantitative parameters (apparent diffusion coefficient [ADC], perfusion fraction [f], Dslow, diffusion coefficient [D], and Dfast, pseudodiffusion coefficient [D*]) and histopathology in pancreatic adenocarcinoma (PAC).Materials and MethodsSubjects with suspected surgically resectable PAC were prospectively enrolled in this Health Insurance Portability and Accountability Act (HIPAA)‐compliant, Institutional Review Board‐approved study. Imaging was performed at 1.5T with a respiratory‐triggered echo planar DWI sequence using 10 b values. Two readers drew regions of interest (ROIs) over the tumor and adjacent nontumoral tissue. Monoexponential and biexponential fits were used to derive ADC2b, ADCall, f, D, and D*, which were compared to quantitative histopathology of fibrosis, mean vascular density, and cellularity. Two biexponential IVIM models were investigated and compared: 1) nonlinear least‐square fitting based on the Levenberg–Marquardt algorithm, and 2) linear fit using a fixed D* (20 mm2/s). Statistical analysis included Student's t‐test, Pearson correlation (P < 0.05 was considered significant), intraclass correlation, and coefficients of variance.ResultsTwenty subjects with PAC were included in the final cohort. Negative correlation between D and fibrosis (Reader 2: r = –0.57 P = 0.01; pooled P = –0.46, P = 0.04) was observed with a trend toward positive correlation between f and fibrosis (r = 0.44, P = 0.05). ADC2b was significantly lower in PAC with dense fibrosis than with loose fibrosis ADC2b (P = 0.03). Inter‐ and intrareader agreement was excellent for ADC, D, and f.ConclusionIn PAC, D negatively correlates with fibrosis, with a trend toward positive correlation with f suggesting both perfusion and diffusion effects contribute to stromal desmoplasia. ADC2b is significantly lower in tumors with dense fibrosis and may serve as a biomarker of fibrosis architecture.Level of Evidence: 1Technical Efficacy: Stage 2J. MAGN. RESON. IMAGING 2017;46:393–402
Spatiotemporal alignment of in utero BOLD‐MRI series
Authors: Turk Esra Abaci , Luo Jie , Gagoski Borjan , Pascau Javier , Bibbo Carolina , Robinson Julian N. , Grant P. Ellen , Adalsteinsson Elfar , Golland Polina , Malpica Norberto 
Published: February 2017

PurposeTo present a method for spatiotemporal alignment of in‐utero magnetic resonance imaging (MRI) time series acquired during maternal hyperoxia for enabling improved quantitative tracking of blood oxygen level‐dependent (BOLD) signal changes that characterize oxygen transport through the placenta to fetal organs.Materials and MethodsThe proposed pipeline for spatiotemporal alignment of images acquired with a single‐shot gradient echo echo‐planar imaging includes 1) signal nonuniformity correction, 2) intravolume motion correction based on nonrigid registration, 3) correction of motion and nonrigid deformations across volumes, and 4) detection of the outlier volumes to be discarded from subsequent analysis. BOLD MRI time series collected from 10 pregnant women during 3T scans were analyzed using this pipeline. To assess pipeline performance, signal fluctuations between consecutive timepoints were examined. In addition, volume overlap and distance between manual region of interest (ROI) delineations in a subset of frames and the delineations obtained through propagation of the ROIs from the reference frame were used to quantify alignment accuracy. A previously demonstrated rigid registration approach was used for comparison.ResultsThe proposed pipeline improved anatomical alignment of placenta and fetal organs over the state‐of‐the‐art rigid motion correction methods. In particular, unexpected temporal signal fluctuations during the first normoxia period were significantly decreased (P < 0.01) and volume overlap and distance between region boundaries measures were significantly improved (P < 0.01).ConclusionThe proposed approach to align MRI time series enables more accurate quantitative studies of placental function by improving spatiotemporal alignment across placenta and fetal organs.Level of Evidence: 1Technical Efficacy: Stage 1J. MAGN. RESON. IMAGING 2017;46:403–412
Imaging of the rabbit supraspinatus enthesis at 7 Tesla: a 4‐week time course after repair surgery and effect of channeling
Authors: Trudel Guy , Melkus Gerd , Cron Greg O. , Louati Hakim , Sheikh Adnan , Larson Peder E.Z. , Schweitzer Mark , Lapner Peter , Uhthoff Hans K. , Laneuville Odette 
Published: February 2017

PurposeTo image the supraspinatus enthesis reformation of rabbit shoulders by magnetic resonance at 7 Tesla (T) using T2 mapping after surgical repair and to assess the effects of channeling aimed at enhancing enthesis reformation.Materials and MethodsIn 112 rabbits, the distal supraspinatus (SSP) tendon was unilaterally detached and reattached after 1 week. At the first surgery, channeling was performed at the footprint in 64 rabbits. At the second surgery, the SSP tendon of all rabbits was re‐attached to the greater tuberosity. The shoulders were harvested at 0, 1, 2, or 4 weeks after the repair surgery and were imaged at 7T. Quantitative T2 mapping was performed using multi slice two‐dimensional multi‐echo spin‐echo sequence with fat saturation. Enthesis regions of interests were drawn on three slices at the footprint to measure T2 relaxation times.ResultsTendon repair (F(2, 218) = 44; P < 2.2e‐16) and postoperative duration (F(3, 218) = 4.8; P = 0.006) both affected significantly the T2 values while channeling had no significant effect. For the time effect, the only pair with a statistical difference was the 0‐week and 4‐week for the channeling groups (P = 0.023).ConclusionEnthesis reformation early after surgical repair of the SSP distal tendon was characterized by increasing T2 values.Level of Evidence: 2Technical Efficacy: Stage 1J. MAGN. RESON. IMAGING 2017;46:461–467
Intravoxel incoherent motion MRI in the brain: Impact of the fitting model on perfusion fraction and lesion differentiability
Authors: Keil Vera C. , Mädler Burkhard , Gielen Gerrit H. , Pintea Bogdan , Hiththetiya Kanishka , Gaspranova Alisa R. , Gieseke Jürgen , Simon Matthias , Schild Hans H. , Hadizadeh Dariusch R. 
Published: February 2017

PurposeTo investigate the effect of the choice of the curve‐fitting model on the perfusion fraction (fIVIM) with regard to tissue type characterization, correlation with microvascular anatomy, and dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) parameters. Several curve‐fitting models coexist in intravoxel incoherent motion (IVIM) MRI to derive the (fIVIM).Materials and MethodsIn all, 29 patients with brain lesions (12 gliomas, 11 meningiomas, three metastases, two gliotic scars, one multiple sclerosis) underwent IVIM‐MRI (32 b‐values, 0 to 2000 s/mm2) at 3T. fIVIM was determined by classic monoexponential, biexponential, and a novel nonnegative least squares (NNLS) fitting in 352 regions of interest (lesion‐containing and normal‐appearing tissue) and tested their correlation with DCE‐MRI kinetic parameters and microvascular anatomy derived from 57 region of interest (ROI)‐based biopsies and their capacities to differentiate histologically different lesions.ResultsfIVIM differed significantly between all three models and all tissue types (monoexponential confidence interval in percent [CI 3.4–3.8]; biexponential [CI 11.21–12.45]; NNLS [CI 2.06–2.60]; all P < 0.001). For all models an increase in fIVIM was associated with a shift to larger vessels and higher vessel area / tissue area ratio (regression coefficient 0.07–0.52; P = 0.04–0.001). Correlation with kinetic parameters derived from DCE‐MRI was usually not significant. Only biexponential fitting allowed differentiation of both gliosis from edema and high‐ from low‐grade glioma (both P < 0.001).ConclusionThe curve‐fitting model has an important impact on fIVIM and its capacity to differentiate tissues. fIVIM may possibly be used to assess microvascular anatomy and is weakly correlated with DCE‐MRI kinetic parameters.Level of Evidence: 2Technical Efficacy: Stage 1J. Magn. Reson. Imaging 2017;46:1187–1199.