bluuebunny/crossref_metadata_2025 huggingface dataset:
Broadband Optical Cavity Mode Measurements at Hz-Level Precision With a Comb-Based VIPA Spectrometer
Authors: Kowzan Grzegorz , Charczun Dominik , Cygan Agata , Trawiński Ryszard S. , Lisak Daniel , Masłowski Piotr
Published: June 2019

Optical frequency comb spectrometers open up new avenues of investigation into molecular structure and dynamics thanks to their accuracy, sensitivity and broadband, high-speed operation. We combine broadband direct frequency comb spectroscopy with a dispersive spectrometer providing single-spectrum acquisition time of a few tens of milliseconds and high spectral resolution. We interleave a few tens of such comb-resolved spectra to obtain profiles of 14-kHz wide cavity resonances and determine their positions with precision of a few hertz. To the best of our knowledge, these are the most precise and highest resolution spectral measurements performed with a broadband spectrometer, either comb-based or non-comb-based. This result pushes the limits of broadband comb-based spectroscopy to Hz-level regime. As a demonstration of these capabilities, we perform simultaneous cavity-enhanced measurements of molecular absorption and dispersion, deriving the gas spectra from cavity mode widths and positions. Such approach is particularly important for gas metrology and was made possible by the Hz-level resolution of the system. The presented method should be especially applicable to monitoring of chemical kinetics in, for example, plasma discharges or measurements of narrow resonances in cold atoms and molecules.
Benefits of asynchronous exclusion for the evolution of cooperation in stochastic evolutionary optional public goods games
Authors: Quan Ji , Zheng Junjun , Wang Xianjia , Yang Xiukang
Published: June 2019

Mechanisms and conditions for the spontaneous emergence of cooperation in multi-player social dilemma games remain an open question. This paper focuses on stochastic evolutionary optional public goods games with different exclusion strategies. We introduce four strategy types in the population, namely, cooperation, defection, loner and exclusion. Synchronous and asynchronous exclusion forms have been compared in finite-sized, well-mixed and structured populations. In addition, we verify that the asynchronous exclusion mechanism is indeed better than the synchronous exclusion mechanism in all cases. The benefits of the asynchronous exclusion are measured by comparing the probability that the system chooses the cooperative states in the two situations. In the well-mixed population cases, only when the investment amplification factor is small and the probability of exclusion success is high will the asynchronous exclusion mechanism have a relatively large advantage in promoting cooperation. However, in the structured population cases, the range of the investment amplification factor, in which the asynchronous exclusion mechanism has relatively large advantages in promoting cooperation, is somewhat different and is mainly in the middle of the interval under our parameters. Our study further corroborated that when non-participation and exclusion strategies exist, a structured population does not necessarily promote cooperation compared with a well-mixed population for some parameter combinations. Thus, we acquire a good understanding of the emergence of cooperation under different exclusion mechanisms.
Histone deacetylase activity mediates thermal plasticity in zebrafish (Danio rerio)
Authors: Seebacher Frank , Simmonds Alec I. M.
Published: June 2019

Regulatory mechanisms underlying thermal plasticity determine its evolution and potential to confer resilience to climate change. Here we show that class I and II histone deacetylases (HDAC) mediated thermal plasticity globally by shifting metabolomic profiles of cold acclimated zebrafish (Danio rerio) away from warm acclimated animals. HDAC activity promoted swimming performance, but reduced slow and fast myosin heavy chain content in cardiac and skeletal muscle. HDAC increased sarco-endoplasmic reticulum ATPase activity in cold-acclimated fish but not in warm-acclimated animals, and it promoted cardiac function (heart rate and relative stroke volume) in cold but not in warm-acclimated animals. HDAC are an evolutionarily ancient group of proteins, and our data show that they mediate the capacity for thermal plasticity, although the actual manifestation of plasticity is likely to be determined by interactions with other regulators such as AMP-activated protein kinase and thyroid hormone.
Associations between Blood Pressure Indices and Brachial–ankle Pulse Wave Velocity in Treated Hypertensive Adults: results from the China Stroke Primary Prevention Trial (CSPPT)
Authors: Hu Lihua , Zhang Yuanyuan , Huang Xiao , Song Yun , Qin Xianhui , Wang Binyan , Zhang Yan , Tang Genfu , Li Jianping , Li Ping , Bao Huihui , Huo Yong , Cheng Xiaoshu
Published: June 2019

Brachial–ankle pulse wave velocity (baPWV), as a marker of arterial stiffness, has been demonstrated to be associated with blood pressure (BP) and onset of hypertension. However, little information is available on the associations between baPWV and BP indices [systolic BP (SBP), diastolic BP (DBP), pulse pressure (PP), mean arterial pressure (MAP)] in treated hypertensive patients. We aimed to assess the associations between BP indices and baPWV. In this cross-sectional study, 14,598 hypertensive patients from China Stroke Primary Prevention Trial (CSPPT) at the exit visit of the trial were analyzed. Elevated baPWV was defined as ≥18.3 m/s. Multivariate linear and logistic regression analyses were performed to evaluate the associations of BP indices with baPWV and elevated baPWV. Moreover, the smooth curve fitting (penalized spline method) was conducted. Multivariate linear regression analyses showed that continuous SBP, DBP, PP and MAP were independently and positively associated with baPWV (β = 0.081, 0.084, 0.078 and 0.115, respectively, all P < 0.001). Compared with controlled SBP group (<140 mm Hg), uncontrolled SBP (≥140 mm Hg) was significantly associated with higher baPWV [β = 2.234, 95% confidence interval (CI): 2.137–2.332]. Similarly, compared with controlled DBP group (<90 mm Hg), uncontrolled DBP (≥90 mm Hg) was significantly associated with higher baPWV (β = 1.466, 95%CI: 1.341–1.590). Multiple logistic analyses also showed that SBP, DBP, PP and MAP were significantly and positively associated with elevated baPWV (OR = 1.056, 1.049, 1.052, and 1.075, respectively, all P < 0.001). The fully-adjusted smooth curve fitting presented a linear association between BP indices with baPWV. In conclusion, among treated hypertensive patients, SBP, DBP, PP and MAP levels were independently and positively associated with baPWV and elevated baPWV, suggesting that baPWV might be a way to predict uncontrolled BP.
Bilingualism and language similarity modify the neural mechanisms of selective attention
Authors: Olguin Andrea , Cekic Mario , Bekinschtein Tristan A. , Katsos Napoleon , Bozic Mirjana
Published: June 2019

Learning and using multiple languages places major demands on our neurocognitive system, which can impact the way the brain processes information. Here we investigated how early bilingualism influences the neural mechanisms of auditory selective attention, and whether this is further affected by the typological similarity between languages. We tested the neural encoding of continuous attended speech in early balanced bilinguals of typologically similar (Dutch-English) and dissimilar languages (Spanish-English) and compared them to results from English monolinguals we reported earlier. In a dichotic listening paradigm, participants attended to a narrative in their native language while ignoring different types of interference in the other ear. The results revealed that bilingualism modulates the neural mechanisms of selective attention even in the absence of consistent behavioural differences between monolinguals and bilinguals. They also suggested that typological similarity between languages helps fine-tune this modulation, reflecting life-long experiences with resolving competition between more or less similar candidates. The effects were consistent over the time-course of the narrative and suggest that learning a second language at an early age triggers neuroplastic adaptation of the attentional processing system.
Enzyme-mediated depletion of l-cyst(e)ine synergizes with thioredoxin reductase inhibition for suppression of pancreatic tumor growth
Authors: Kshattry Sabin , Saha Achinto , Gries Paul , Tiziani Stefano , Stone Everett , Georgiou George , DiGiovanni John
Published: June 2019

Perturbing redox homeostasis potentially constitutes a selective cancer-killing strategy. An engineered human enzyme, cyst(e)inase that degrades extracellular cysteine (l-Cys) and cystine (CSSC) leading to depletion of intracellular l-Cys and glutathione (GSH) was evaluated for its effects on pancreatic cancer cell lines. Cyst(e)inase caused oxidative stress and apoptosis in only Panc1 cells, whereas MIA-PaCa2 and BxPC3 cells demonstrated survival under conditions of cyst(e)inase-mediated l-Cys depletion through maintenance of mitochondrial metabolism and lower levels of reactive oxygen species (ROS). A correlation was also observed between thioredoxin 1 protein levels and resistance to cyst(e)inase treatment. Notably, cyst(e)inase in combination with auranofin, a thioredoxin reductase inhibitor, caused a synergistic increase in mitochondrial ROS and apoptosis and inhibition of mitophagy in the more resistant cells. In addition, auranofin treatment sensitized the more resistant pancreatic cancer xenografts to cyst(e)inase without systemic toxicity. These data provide strong rationale to further investigate therapeutic strategies that target multiple antioxidant pathways for treatment of pancreatic ductal adenocarcinoma.
Bioinactive semi-interpenetrating network gel layers: zwitterionic polymer chains incorporated in a cross-linked polymer brush
Authors: Yamazawa Yuka , Kato Hibiki , Nakaji-Hirabayashi Tadashi , Yoshikawa Chiaki , Kitano Hiromi , Ohno Kohji , Saruwatari Yoshiyuki , Matsuoka Kazuyoshi
Published: June 2019

A thin gel layer with thermo-responsive polymer brushes and semi-interpenetrating PCMB exhibited the switching of bio-inert properties depending on temperature.
UHPLC-HRMS (orbitrap) fingerprinting in the classification and authentication of cranberry-based natural products and pharmaceuticals using multivariate calibration methods
Authors: Barbosa Sergio , Pardo-Mates Naiara , Hidalgo-Serrano Miriam , Saurina Javier , Puignou Lluis , Núñez Oscar
Published: June 2019

A 100% classification and authentication rate for cranberry-based natural and pharmaceutical products by UHPLC-HRMS fingerprinting.
Tetracoordinate aluminum complexes bearing phenoxy-based ligands as catalysts for epoxide/anhydride copolymerization: some mechanistic insights
Authors: Isnard Florence , Santulli Federica , Cozzolino Mariachiara , Lamberti Marina , Pellecchia Claudio , Mazzeo Mina
Published: June 2019

Phenoxy-imine aluminum complexes, in combination with DMAP, produce efficient catalysts for the alternating copolymerization of epoxides and anhydrides. A zwitterionic species is formed in the initiation step.
Seeing atomic-scale structural origins and foreseeing new pathways to improved thermoelectric materials
Authors: Wu Haijun , Zhang Yang , Ning Shoucong , Zhao Li-Dong , Pennycook Stephen J.
Published: June 2019

Thermoelectricity enables the direct inter-conversion between electrical energy and thermal energy, promising for scavenging electric power from sources of waste heat and protecting solid-state refridgerating electronic devices from overheating.
Fast identification of optimal pure platinum nanoparticle shapes and sizes for efficient oxygen electroreduction
Authors: Rück Marlon , Bandarenka Aliaksandr , Calle-Vallejo Federico , Gagliardi Alessio
Published: June 2019

Unraveling size effects on the mass activity guides chemical routes for synthesis of optimized pure platinum electrocatalysts.
Porphyrin-based metal–organic frameworks: protonation induced Q band absorption
Authors: Zhao Yuewu , Cai Xue , Zhang Ye , Chen Changchong , Wang Jine , Pei Renjun
Published: June 2019

In this work, porphyrin-based MOF nanosheets were formulated.
Self-assembly of a robust hydrogen-bonded octylphosphonate network on cesium lead bromide perovskite nanocrystals for light-emitting diodes
Authors: Brown Alasdair A. M. , Hooper Thomas J. N. , Veldhuis Sjoerd A. , Chin Xin Yu , Bruno Annalisa , Vashishtha Parth , Tey Ju Nie , Jiang Liudi , Damodaran Bahulayan , Pu Suan Hui , Mhaisalkar Subodh G. , Mathews Nripan
Published: June 2019

Ligand exchange with octylphosphonate enhances PLQY and LED efficiency.
Semiconductor nanocrystal–polymer hybrid nanomaterials and their application in molecular imprinting
Authors: Sobiech Monika , Bujak Piotr , Luliński Piotr , Pron Adam
Published: June 2019

An essential survey of semiconductor nanocrystal–polymer hybrid nanomaterials and their application in molecular imprinting is presented.
Model-based design and synthesis of ferrocene containing microgels
Authors: Schneider Sabine , Jung Falco , Mergel Olga , Lammertz Janik , Nickel Anne C. , Caumanns Tobias , Mhamdi Adel , Mayer Joachim , Mitsos Alexander , Plamper Felix A.
Published: June 2019

Modelling and synthesis go hand in hand to efficiently engineer copolymer microgels with various architectures: core–shell structures (with ferrocene mainly in the core or in the shell) and also microgels with homogeneous comonomer distribution.
Polymer cubosomes of block copolymers having cross-linkable soft hydrophobic blocks
Authors: Kim Jiwon , Yoon Misun , Jin Seon-Mi , Lee Jiyeon , La Yunju , Lee Eunji , Kim Kyoung Taek
Published: June 2019

Inverse bicontinuous cubic mesophases of block copolymers are an emerging class of mesoporous structures consisting of block copolymer bilayers, in which well-defined reticulated pore networks are intertwined in a long-range crystalline order.
Pioneering investigators 2019
Authors: Pentzer Emily , Frey Holger
Published: June 2019

This themed issue of Polymer Chemistry highlights the work of pioneering investigators in the polymer chemistry field. Associate Editors Emily Pentzer and Holger Frey introduce the issue.
Theoretical study on the electronic structure and second-order nonlinear optical properties of benzannulated or selenophene-annulated expanded helicenes
Authors: Gong Li-jing , Liu Chun-yu , Ma Cheng , Lin Wan-feng , Lv Jin-kai , Zhang Xiang-yu
Published: June 2019

The nonlinear optical properties of the studied helicenes were studied with the aid of the DFT calculations.
Novel polythiophene derivative for dual-channel cell imaging
Authors: Wang Fengyan , Xia Huiyun , Pu Siyu , Yan Ni , Song Jiale , Tian Yefei , Wei Junji , Yan Luke
Published: June 2019

PT-OH-PPR has good optical properties, good water solubility and low cytotoxicity, and could be used as a dual-channel cell imaging material.
Self-assembled Co0.85Se/carbon nanowires as a highly effective and stable electrocatalyst for the hydrogen evolution reaction
Authors: Sun Baochen , Wang Xinqiang , Yang Dongxu , Chen Yuanfu
Published: June 2019

Self-assembled Co0.85Se/carbon nanowires constructed from Co0.85Se nanoparticles homogenously embedded into carbon nanowires (Co0.85Se@CNWs).
Highly active and robust Ni–MoS2supported on mesoporous carbon: a nanocatalyst for hydrodeoxygenation reactions
Authors: Mukundan Swathi , Wahab Md A. , Atanda Luqman , Konarova Muxina , Beltramini Jorge
Published: June 2019

NiMoS2nanoparticles supported on carbon, synthesized by a microemulsion method were used as a nanocatalyst for hydrodeoxygenation (HDO) of a lignin model compound – guaiacol.
One-step preparation of N,O co-doped 3D hierarchically porous carbon derived from soybean dregs for high-performance supercapacitors
Authors: Zhu Guang , Zhao Guangzhen , Shi Junyou , Ou-Yang Wei
Published: June 2019

N,O co-doped 3D HPC derived from soybean dregs was prepared by a one-step method and displays an amazingly high energy density of 22 W h kg−1 (450 W kg−1) using 1 M Na2SO4 solution.
Heterogeneous Suzuki–Miyaura coupling of heteroaryl ester via chemoselective C(acyl)–O bond activation
Authors: Ma Hongpeng , Bai Chaolumen , Bao Yong-Sheng
Published: June 2019

A site-selective supported palladium nanoparticle catalyzed Suzuki–Miyaura cross-coupling reaction with heteroaryl esters and arylboronic acids as coupling partners was developed.
Procyanidin A2, an anti-diabetic condensed tannin extracted from Wendlandia glabrata, reduces elevated G-6-Pase and mRNA levels in diabetic mice and increases glucose uptake in CC1 hepatocytes and C1C12 myoblast cells
Authors: Sheikh Yunush , Chanu Maibam Beebina , Mondal Gopinath , Manna Prasenjit , Chattoraj Asamanja , Chandra Deka Dibakar , Chandra Talukdar Narayan , Chandra Borah Jagat
Published: June 2019

Wendlandia glabrata and procyanidin A2 isolated thereof are exhibited significant anti-diabetic effect.
Visible-light-triggered supramolecular valves based on β-cyclodextrin-modified mesoporous silica nanoparticles for controlled drug release
Authors: Bian Qing , Xue Zhaolu , Sun Po , Shen Kejing , Wang Shangbing , Jia Juanying
Published: June 2019

Visible-light triggered drug delivery system based on tetra-ortho-methoxy-substituted azobenzene (mAzo) and β-cyclodextrin (β-CD) modified mesoporous silica nanoparticles (MSNs-CD).
Self-assembled microrings of Au nanoparticle and Au nanorod clusters formed at the equators of Janus particles
Authors: Hirai Yutaro , Yabu Hiroshi
Published: June 2019

A method for fabricating polymer Janus particles with metal nanoparticle microring structures at their equators has been developed.
Dimethylformamide-stabilised palladium nanoclusters catalysed coupling reactions of aryl halides with hydrosilanes/disilanes
Authors: Nagata Tatsuki , Inoue Takeru , Lin Xianjin , Ishimoto Shinya , Nakamichi Seiya , Oka Hideo , Kondo Ryota , Suzuki Takeyuki , Obora Yasushi
Published: June 2019

A highly efficient and reusable Pd NCs catalyst system for silylation of aryl halides was developed.
Preparation of large-area ultrathin carbon semiconductors converted from conjugated microporous polymer films
Authors: Ju Shang , Ding Yamei , Yin Yuhang , Cheng Shuai , Wang Xiangjing , Mao Huiwu , Zhou Zhe , Song Mengya , Chang Qing , Ban Chaoyi , Liu Zhengdong , Liu Juqing
Published: June 2019

Large-area carbon semiconductors were prepared by combining thein situpolymerization with thermal annealing process. Moreover, a photodetector based on carbon dots decorated carbon semiconductors was fabricated.
First-principles computational investigation of nitrogen-doped carbon nanotubes as anode materials for lithium-ion and potassium-ion batteries
Authors: Zhao Chengxi , Lu Yunxiang , Liu Honglai , Chen Linjiang
Published: June 2019

First-principles simulations reveal atomistic mechanisms for adsorption and migration of lithium and potassium on nitrogen-doped carbon nanotubes.
An improved liquid–liquid separator based on an optically monitored porous capillary
Authors: Harvie Andrew J. , Herrington Jack O. , deMello John C.
Published: June 2019

We report an automated device for the efficient microscale separation of immiscible liquids.
An ultra-dense NiS2/reduced graphene oxide composite cathode for high-volumetric/gravimetric energy density nickel–zinc batteries
Authors: Shi Wenhui , Mao Jing , Xu Xilian , Liu Wenxian , Zhang Lin , Cao Xiehong , Lu Xihong
Published: June 2019

A strategy for fabricating a highly compact NiS2/rGO cathode is proposed, achieving both high volumetric and gravimetric energy densities for Ni–Zn batteries.
Interconnected assembly of ZrO2@SiO2 nanoparticles with dimensional selectivity and refractive index tunability
Authors: Rhee Do Kyung , Yoo Pil J.
Published: June 2019

A synchronized synthetic method for sequentially inducing the assembly of primary nanoparticles and subsequent shell coating is proposed, eventually implementing dimensionally controlled 1D, 2D, or 3D ordering of nanoparticles.
Requests for Communication Repair Produced by Typically Developing Preschool-Age Children
Authors: Julien Hannah M. , Finestack Lizbeth H. , Reichle Joe
Published: June 2019

Purpose

When breakdowns in communication occur, children may request a repair to increase understanding of the message. Unrepaired communication breakdowns may cause confusions, limit conversational exchanges, and restrict children's learning opportunities. Relatively little is known regarding the conditions under which children produce repair requests. Thus, this study examined the verbal communication repair requests produced by typically developing children and evaluated the relationship between children's repair requests and performance on a theory of mind task.

Method

Participants included 25 typically developing 4-year-old children who completed standardized, norm-referenced assessments of their expressive language, receptive language, and IQ; a theory of mind task; and a shared book reading task. In the shared book reading task, the examiner elicited child repair requests using questions and statements that contained insufficient information.

Results

Participants produced a statistically significant greater number of repair requests when presented with questions with insufficient information compared to statements with insufficient information (
p
< .001). There were no differences in total repair requests between participants who passed or failed the theory of mind task (
p
= .45).

Conclusion

Among preschool-age children, the shared book reading task provided a naturalistic medium that facilitated the examination of children's repair requests. Results from this study provide baseline information to which the repair requests produced by other populations, such as children with autism spectrum disorder, can be compared.
Computer Vision Technology in the Differential Diagnosis of Cushing’s Syndrome
Authors: Popp Kathrin Hannah , Kosilek Robert Philipp , Frohner Richard , Stalla Günther Karl , Athanasoulia-Kaspar AnastasiaP. , Berr ChristinaM. , Zopp Stephanie , Reincke Martin , Witt Matthias , Würtz Rolf P , Deutschbein Timo , Quinkler Marcus , Schneider Harald Jörn
Published: June 2019

Objective Cushing’s syndrome is a rare disease characterized by clinical features that show morphological similarity with the metabolic syndrome. Distinguishing these diseases in clinical practice is challenging. We have previously shown that computer vision technology can be a potentially useful diagnostic tool in Cushing’s syndrome. In this follow-up study, we addressed the described problem by increasing the sample size and including controls matched by body mass index.

Methods We enrolled 82 patients (22 male, 60 female) and 98 control subjects (32 male, 66 female) matched by age, gender and body-mass-index. The control group consisted of patients with initially suspected, but biochemically excluded Cushing’s syndrome. Standardized frontal and profile facial digital photographs were acquired. The images were analyzed using specialized computer vision and classification software. A grid of nodes was semi-automatically placed on disease-relevant facial structures for analysis of texture and geometry. Classification accuracy was calculated using a leave-one-out cross-validation procedure with a maximum likelihood classifier.

Results The overall correct classification rates were 10/22 (45.5%) for male patients and 26/32 (81.3%) for male controls, and 34/60 (56.7%) for female patients and 43/66 (65.2%) for female controls. In subgroup analyses, correct classification rates were higher for iatrogenic than for endogenous Cushing’s syndrome.

Conclusion Regarding the advanced problem of detecting Cushing’s syndrome within a study sample matched by body mass index, we found moderate classification accuracy by facial image analysis. Classification accuracy is most likely higher in a larger sample with healthy control subjects. Further studies might pursue a more advanced analysis and classification algorithm.
Clinical Decision Making in Patients with Stroke-Related Dysphagia
Authors: Felix Cecilia C. , Joseph Megan E. , Daniels Stephanie K.
Published: June 2019

This article aims to highlight stroke considerations in the evaluation and management of dysphagia. Although dysphagia was previously thought to occur only following brainstem or bilateral cortical strokes, the development of brain imaging and dynamic swallowing studies has revealed small, unilateral supratentorial strokes can produce dysphagia. In this article, screening, evaluation, and management of dysphagia are outlined, as well as the clinical decision making that occurs when taking into account cognitive and communication deficits that may be present. For the clinical swallow examination, chart review, interview, informal evaluation of cognition and communication, observation of posture, oral cavity inspection, cranial nerve examination, and the direct swallowing assessment are reviewed along with tailoring of each according to the deficits observed. Specific compensation and rehabilitation strategies are discussed along with how cognitive and communication deficits can guide the clinician's decision-making process to select an appropriate plan of care. A case study is provided to synthesize the process into a real-world scenario.
Presbyphagia to Dysphagia: Multiple Perspectives and Strategies for Quality Care of Older Adults
Authors: Namasivayam-MacDonald Ashwini M. , Riquelme Luis F.
Published: June 2019

The aging population is rapidly growing, requiring speech–language pathologists to better manage a caseload that includes older adults who have a variety of needs. The purpose of this review is to summarize and discuss the current available evidence that will allow speech–language pathologists to make informed clinical decisions when working with older adults. To facilitate this, this article first establishes an understanding of both normal and disordered swallowing physiology in older adults, including how to differentiate between functional changes to swallowing (presbyphagia) and dysphagia. Other important factors to consider, such as caregiver burden, are also discussed so that clinicians can learn how to best support aging in place. Best practices for screening both community-dwelling older adults and residents of long-term care are identified as part of a framework introduced to guide decision making. The critical components of clinical swallow assessments are reviewed, including the adoption of an ethnographic approach and why nutritional status, urinary tract infections, and delirium are important considerations when working with older adults. Factors contributing to, and associated with, aspiration and aspiration pneumonia are also discussed so that clinicians better understand how to take a comprehensive approach to care, as well as consider the impact and influence of a temporary dysphagia versus a more chronic presentation. Finally, the evidence for management of dysphagia in this specialized population is reviewed, highlighting the importance of identifying physiological deficits, feedback, and taking a multidisciplinary approach to care.
Combined Treatments in Liver Ablations
Authors: Bargellini Irene , Rossi Piercarlo , Crocetti Laura , Lorenzoni Giulia , Bozzi Elena , Lunardi Alessandro , Cioni Roberto
Published: June 2019

Percutaneous ablation is a curative treatment indicated in very early and early hepatocellular carcinoma (HCC). Procedural success remains disappointing in lesions ≥3.0 cm and located in subcapsular and perivascular areas. To overcome these limitations, combination treatments have been proposed. The combination of ablation and transarterial chemoembolization (TACE) is widely adopted in clinical practice and may improve survival, particularly in patients with single nodules 3 to 5 cm in size. However, technical issues and clinical indications are still debated. Radiofrequency ablation (RFA) may also be combined with percutaneous ethanol injection to improve local tumor control; limited data show safety and efficacy of this option. The combination of ablation and systemic treatments is still debated. Intravenous injection of thermosensitive liposomal doxorubicin in association with prolonged RFA is under investigation in patients with single lesions < 7 cm. While there is no indication for the use of systemic drugs (specifically sorafenib) in the adjuvant setting, the observation that RFA is able to activate inflammatory reactions has raised interest in the possibility of combining RFA with the new immuno-oncology drugs, for local and distant tumor control. Thus ablation would no longer be reserved only to early HCC but could be exploited also in more advanced stages.
Long Bone Fractures in Impala (Aepyceros melampus): A Classification System and Review of 55 Cases
Authors: van Heerden Frans G. , Kirberger Robert M. , Hartman Marthinus J.
Published: June 2019

Objective The purpose of this study was to introduce a modified-Unger fracture classification in impala and report the findings of 58 long bone fractures classified according to this system.

Methods This was a retrospective radiographical study evaluating 122 radiographs of 58 long bone fractures in 55 impala. The Unger fracture classification was modified and fracture illustrations for the metacarpal and metatarsal bones added. Each fracture was classified and assigned a four symbol α-numeric code using our classification. The patient signalment, skeletal maturity, fracture-associated soft tissue changes, presence of fissure lines, periosteal reaction and cause of the fracture were recorded.

Results The overall fracture distribution based on location, found tibial (n = 17) fractures to be the most common fractured long bone. When combined, the majority of fractures involved the metacarpal and metatarsal bones (n = 23). Forty five of 58 fractures occurred in the diaphyseal bone segment. In all long bones, the distribution based on complexity was simple (n = 27), wedge (n = 16) and multi-fragmentary (n = 15) fractures. Thirty one of 58 fractures were open and fissure lines were detected in 20 of 58 fractures.

Clinical Significance Our modified-Unger fracture classification was applicable in classifying 58 impala long bone fractures. This classification should provide the basis for further advances in veterinary and comparative ungulates, and particularly the antelopes, orthopaedics and traumatology.
Net reductions or spatiotemporal displacement of intentional wildfires in response to arrests? Evidence from Spain
Authors: Prestemon Jeffrey P. , Butry David T. , Chas-Amil María L. , Touza Julia M.
Published: June 2019

Research to date has not examined how the impacts of arrests manifest across space and time in environmental crimes. We evaluate whether arrests reduce or merely spatiotemporally displace intentional illegal outdoor firesetting. Using municipality-level daily wildfire count data from Galicia, Spain, from 1999 to 2014, we develop daily spatiotemporal ignition count models of agricultural, non-agricultural and total intentional illegal wildfires as functions of spatiotemporally lagged arrests, the election cycle, seasonal and day indicators, meteorological factors and socioeconomic variables. We find evidence that arrests reduce future intentional illegal fires across space in subsequent time periods.
Influence of a slow‐start on overall performance and running kinematics during 6‐h ultramarathon races
Authors: Matta Guilherme G. , Bossi Arthur H. , Millet Guillaume Y. , Lima Pedro , de Lima Jorge P. , Hopker James G.
Published: June 2019

The aim of this study was to describe the pacing during a 6‐h ultramarathon (race 1) and to investigate whether a slow‐start affects performance, running kinematic changes, ratings of perceived exertion (RPE) and fatigue (ROF) (race 2). After a critical speed test, participants completed two 6‐h ultramarathons. Race 1 (n = 16) was self‐paced, whereas in race 2 (n = 10), athletes performed the initial 36 min at speeds 18% below the mean speed of the initial 36 min of race 1. In race 1, participants adopted an inverse sigmoid pacing. Contact times increased after 1 h, and flight times decreased after 30 min (all P ≤ .009); stride length reduced after 1 h 30 min (all P = .022), and stride frequency did not change. Despite the lower speeds during the first 10% of race 2, and higher speeds at 50% and 90%, performance remained unchanged (57.5 ± 10.2 vs. 56.3 ± 8.5 km; P = .298). However, RPE and ROF were lowered for most of race 2 duration (all P < .001). For the comparison of kinematic variables between races, data were normalised by absolute running speed at each time point from 1 h onwards. No differences were found for any of the kinematic variables. In conclusion, decreasing initial speed minimises RPE and ROF, but does not necessarily affect performance. In addition, running kinematic changes do not seem to be affected by pacing manipulation.
An Analysis of FPGA Hardware Platform Based Artificial Neural Network
Authors: Wibowo F W
Published: June 2019

The artificial neural networks (ANN) algorithm is a mathematical model of a network by applying neurons and usually, it is represented as a directed graph with vertexes and edges. This algorithm is a paradigm of information processing to describe arbitrary functions and inspired by the biological nervous systems. This algorithm can learn a non-linearly separated set of outputs. A much software-based application has implemented this algorithm but the challenge in the hardware-based is still possible to do in mapping the output into binary values. This paper addressed on the platform of the hardware-based the ANN algorithm. The field programmable gate arrays (FPGAs) is closely related to this platform. The FPGAs have achieved a successful penetration in different multi-disciplinary domains.
Identical Instruments Detection using Least Mean Square Based Adaptive Filter
Authors: Sa’adah M , Wulandari D P , Suprapto Y K
Published: June 2019

Gamelan is one of Indonesian traditional music instrument. It have variations in terms of fundamental frequency, amplitude, and signal envelope, due to its handmade construction and playing style. When playing gamelan instruments, many identical music is played simultaneously. Detection of identical instruments are needed to indicate the changes of Gamelan features. We can find how many identical instruments are played at the same time or separated by very short time. We applied Least Mean Square (LMS) adaptive filter to detect identical instruments. The reference signal can have a fundamental frequency shift from the original signal to 10 Hz. The synthetic saron signal is used as reference signal. The performance can separate the identical instruments in 0.03 ms.
National Government Agency’s Compliance on Data Privacy Act of 2012 a Case Study
Authors: Pitogo V
Published: June 2019

The Republic Act (RA) No. 10173 of the Philippines, or also known as “Data Privacy Act of 2012” (DPA of 2012) was established to protect and to safeguard the individual personal data in an information and communications systems within the government and the private sector while keeping the fundamental human right to privacy of communication. The creation of the National Privacy Commission (NPC) as an independent body mandated to administer the DPA of 2012; to monitor and to ensure compliance with privacy, and to provide proper data protection procedures. This empirical qualitative research using case study approach aims to discover and describe why and how the country’s frontline agency (
Agency A
) complies with DPA of 2012. This paper also seeks to determine the challenges and better practices encountered by the agency relative to compliance and how far the level of commitment does
Agency A
has taken on. Results further showed that
Agency A
is Partially Compliant with the Act. It also encountered some challenges such as (a) lack of awareness, (b) wait-and-see attitude, and (c) time and resource constraints. Determinants of compliance like: (i) general deterrence, (ii) legitimacy of regulations, and (iii) reputation and publication had a compelling casual factor why it has conformed to the law. It is further recommended to conduct a follow-up study once the recent Information Systems Strategic Plan (ISSP) is available, vis-a-vis to March 8, 2018, extended deadline.
Twitter Sentiment Analysis of Juvenile Behaviour Deviations using LSA (Latent Semantic Analysis)
Authors: Muthasima Rochma , Sumpeno Surya , Suprapto Yoyon Kusnendar
Published: June 2019

Sentiment analysis is an effort to mine data or can be called text mining. One of the uses from sentiment analysis is to analyze public opinion on a particular topic or product. Research related to sentiment analysis has been carried out with various methods and different accuracy results. The approach method in analyzing sentiment is divided into 2, namely with statistical approach and semantic approach. Research with a statistical approach has been developed previously. While the semantic approach is still quite rare. Based on previous study, The LSA (Latent Semantic Analysis) approach seems effective in analyzing data and further more for semantic understanding of sentiment orientation. In this study, we build two model, the first is statistic approach using TF-IDF for feature extraction then classified into SVM (Support Vector Machine) algorithm. Then compare it with semantic approach using TF-IDF and SVD (Singular Value Decomposition) for feature extraction then put into LSA (Latent Semantic Analysis) model. The LSA (Latent Semantic Analysis) model will convert the original feature space to a new lower-dimension space by calculate cosine similarity between sentence vectors with vector topics to produce a score for each sentence by measuring how closely the semantic meaning between the sentence and all the words on the topic. Then divided into three collection of words that sentiment oriented including its vector similarity value. The results of the study prove that the research with statistical approach using SVM (Support Vector Machine) algorithm gives results of precission average about 0.56 and recall about 0.54. While with semantic approach using LSA (Latent Semantic Analysis) gives a slight increase in result of precission about 0.57 and recall about 0.56.
Recommendation System for Complementary Breastfeeding using Ontology Modelling and Naïve Bayes
Authors: Sihwi S W , Fadhilah A N , Puspasari M P , Winarno
Published: June 2019

Complementary breastfeeding is an additional food given to the baby started from six to 24 months. The giving of complementary foods is given gradually according to the age of the children and adapted to the condition of the children, such as allergies suffered or malnutrition suffered. This research aims to develop an ontology based decision support system that will help mothers in giving breastfeeding to their babies with keep regarding to their food preferences. This research successfully develops a content-based recommendation system by performing the Naïve Bayes Method and modified the existing ontology modelling and also develop a mobile application with the Android platform so that it can be more accessible to many people. Thirty-five users evaluated the system, and the result of the usability testing shows that the user satisfaction level using SUS (System Scale Usability) method is 79.57, which is in Grade A-. This grade indicates that the system can be well understood by the user and can help mothers in choosing breastfeeding recipes or menus.
Flipping the Message Bits to Increase Imperceptibility in the Least Significant Bit Image Steganography
Authors: Astuti Erna Zuni , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari , Sari Christy Atika , Sarker Md Kamruzzaman
Published: June 2019

Imperceptibility is one of the issues that continue to be studied in the science of steganography in images. Imperceptibility means that the message embedded in the cover image cannot be perceived by the human senses, especially the sense of sight. Flipping the message bits is the method proposed in this study, which is inspired by the inverted LSB method, but this method is simpler because it only flips the message bit when the change in the cover image pixel exceeds 50%. Although the proposed method is simpler than the inverted LSB method, based on the test it is found that the imperceptibility quality can increase significantly when compared to the traditional LSB method. This is evidenced by the PSNR value increasing around 9dB, from 51dB to 60dB and the MSE value dropping from around 0.44 to 0.05.
Mobile Recommendation System for Culinary Tourism Destination using KNN (K-nearest neighbor)
Authors: Riswanto E , Robi’in B , Suparyanto
Published: June 2019

Currently culinary tourism is becoming very popular among the Indonesian people. People make visits to interesting culinary places. They want to visit a culinary place that is strategic, comfortable, and cheap as their culinary destination. The culinary destination in Yogyakarta that continues to grow every year makes the tourists who will visit be confused to determine the location of culinary tourism that they will choose. Travelers need references and recommendations to help them determine culinary destinations that meet their expectations. Mobile devices and application guides are able to gather information about an environment and suggest certain places such as tourism locations, based on context factors such as location, weather conditions, and the time needed to get there. The purpose of this study is to develop a recommendation system for culinary tourism destinations in Yogyakarta based on mobile using the KNN (K-nearest neighbor) algorithm. The method used in this study consists of five main steps: literature study, identification, data collection, implementation, and evaluation. The recommendation system is based on previous user ratings of food taste, environmental atmosphere, price, service and distance between users and location. The weight of each criterion is tailored to the needs of the user. The results showed that the mobile application recommendation system was able to provide recommendations to users to determine culinary tourism destinations in Yogyakarta in accordance with the parameters of user desires.
Early Detection of Hand, Foot, and Mouth Disease based on Palmprint using Certainty Factor as Expert System Method based on Android
Authors: Novitasari Dwi , Irawan Budhi , Prasasti Anggunmeka Luhur
Published: June 2019

Hand, foot, and mouth disease is an infectious disease caused by coxsackievirus. This virus lives in the digestive tract and spreads from person to person. Patients will get a rash on their hands, feet and mouth. An application that can do early detection for HFMD is needed, so patients can get the right references. The application is made for android based phone with expert system implementation. Method used for expert system is certainty factor using data that has been validated and is fully supported by doctors as experts. The output of this application is information on whether or not a patient is suffering from HFMD as well as recommendations to visit medical personnel for further examination. This paper is a result of testing the expert system to detect the HFMD. The accuracy, precision, and recall from this method is as high as 100%.
Literation Hearing Impairment (I-Chat Bot): Natural Language Processing (NLP) and Naïve Bayes Method
Authors: Anggraeni Merry , Syafrullah Mohammad , Damanik Hillman Akhyar
Published: June 2019

A part from advances in Artificial Intelligence and Natural Language Processing, designed CHATBOT will try to understand user requests accurately, so that they do not give the wrong answer or no response. The difficulty of getting specific information about hearing impairments that can be asked properly is asking someone who understands that it still cannot be found on search engines on the internet which is a favorite tool for most people in obtaining information. By using Machine Learning and with the help of Artificial Intelligence, a question and answer (conversation) interaction mechanism is created to gain literacy knowledge that supports the educational process. Therefore, the CHATBOT application was developed in this study as a media for retrieving information about hearing loss. Using the NLP method and the Naïve Bayes Algorithm for classifications used to get input classes to I-Chat Bot, as well as to test hypotheses using the Technology Acceptance Model developed (extended). The result is an I-Chat Bot with artificial intelligence that understands user input and provides an appropriate response and produces a preferred and easy system model to be used in the search for information about required hearing impairments. This result paper also gets the value of the test accuracy with Precision 98.6%, Recall 88.75% and Accuracy 88.75%.
Ontology Modelling on Legal Document: Case Study : Legal Document of Indonesian Republic
Authors: Maftuhah T S , Purwarianti A , Asnar Y D W
Published: June 2019

Regulation representation and reasoning process of the regulation representation is an important thing for finding inconsistency in Indonesian Republic Regulation Document. Indonesia is a legal nation. The mean of Legal Nation is that nation using law to regulate the life of society, state, and the government. Indonesia has been using law to maintain it’s stability since it’s founded. An inconsistence in law has been found in Indonesian regulation document. In this paper,we proposed a method to represent a Indonesian Republic regulation in an ontology form for reasoning process. Ontology language that used in this paper is OWL. The purpose of this representation is to be able to do a reasoning process to find inconsistent regulations and do the process of finding concepts in regulations. After transforming Indonesian Republic regulation document into OWL ontology form and reasoning process of Indonesian Regulation ontology inconsistency has been found.
Efficient time reducing and energy saving routing algorithm for wireless sensor network
Authors: Venkataramana S , Sekhar B V D S , Deshai N , Chakravarthy V V S S S , Krishna Rao S
Published: June 2019

The research article presents a novel energy saving routing algorithm for wireless sensor networks (WSNs) to meet the demand of present research trend. In contrast to conventional methods, a new concept of dominant node has been introduced in this paper. Unlike the conventional algorithms, the proposed method can be applied to both homogeneous and heterogeneous networks. The proposed method focuses on the proper energy distribution among the sensor nodes so that it can offer an energy efficient solution while maintaining improved network lifetime and throughput. The proposed idea has been validated through simulation results. Moreover, the supremacy of the proposed method has been established over existing ones.
Computational prediction and validation studies on a diverse dataset of cox-2 inhibitors
Authors: Yesu Babu Adimulam , Nedunuri Deepak , Madhava Rao Ch
Published: June 2019

In linear regression analysis, when data was derived from various reference sources, the experimental quality of such data has to be assessed. Significant variables based on the statistical data of analysis were chosen. Based on the parameters like correlation coefficient (r), F-value, cross-validation r2 etc quality of the generated equation was judged. An additional condition for high predictive ability of regression model is based on external set cross-validation r2, (R2
cv,ext) and the regression of observed activities against predicted activities and vice versa for validation set. Multivariate regression analysis using python program resulted in few influential parameters displayed significant positive and negative contribution towards biological activity of COX-2 inhibitors. A new regression model was attempted by dividing the complete set (n=64) as a 58 molecule training set and a 6 molecule validation set based on selection criteria after rejecting outliers from the data set.