bluuebunny/crossref_metadata_2025 huggingface dataset:
Reinvestigation of NDMA formation mechanisms from tertiary amines during chloramination: a DFT study
Authors: Zhang Shuo , Zhou Yingying , Liu Yong Dong , Zhong Rugang
Published: June 2020

N-Nitrosodimethylamine (NDMA) formation mechanisms from tertiary amines during chloramination have been investigated by using the DFT method.
A comprehensive review of forward osmosis and niche applications
Authors: Francis Lijo , Ogunbiyi Oluwaseun , Saththasivam Jayaprakash , Lawler Jenny , Liu Zhaoyang
Published: June 2020

The recent improvements in FO technology are critically reviewed, with barriers to full-scale applications highlighted.
High-efficiency perovskite solar cells with poly(vinylpyrrolidone)-doped SnO2as an electron transport layer
Authors: Zhang Meiying , Wu Fengmin , Chi Dan , Shi Keli , Huang Shihua
Published: June 2020

Hybrid organic–inorganic perovskites have attracted intensive attention as the absorber layer in high-performance perovskite solar cells (PSCs).
Adsorption and ordering of amphiphilic rod–coil block copolymers on a substrate: conditions for well-aligned stripe nanopatterns
Authors: Wang Liquan , Tang Zhengmin , Li Da , Lin Jiaping , Guan Zhou
Published: June 2020

The work revealed the conditions for the rod–coil block copolymers to generate well-aligned stripe nanopatterns with large areas.
Functional terpyridyl iron complexes forin vivophotoacoustic imaging
Authors: Xiang Pan , Shen Yu , Shen Jie , Feng Zhihui , Sun Min , Zhang Qiong , Li Shengli , Li Dandan , Zhang Guilong , Wu Zhengyan , Tian Yupeng , Zhang Zhongping , Tian Xiaohe
Published: June 2020

Photoacoustic (PA) imaging has received extensive attention in the recent decade due to its ultra-high resolution in deep tissue penetration.
Strong electronic coupled FeNi3/Fe2(MoO4)3 nanohybrids for enhancing the electrocatalytic activity for the oxygen evolution reaction
Authors: Wang Zhaolong , Bao Jian , Liu Wenjun , Xu Li , Hu Yiming , Guan Meili , Zhou Min , Li Huaming
Published: June 2020

Strong electronically coupled FeNi3/Fe2(MoO4)3 hybrid nanomaterials were successfully fabricated to enhance the electrocatalytic activity for the oxygen evolution reaction.
The protecting group enabled para-selective C–H benzylation of anilides via iron(ii) catalysis: a convenient approach for the synthesis of triarylmethanes
Authors: Han Yi , Li Guobao , Liu Lingling , Dai Chenyang , Shi Da-Qing , Zhao Yingsheng
Published: June 2020

We report the para-selective C–H benzylation of phenyl carbamate with an iron(ii) catalyst.
Exploring a new dinuclear Fe(iii) complex for the fixation of atmospheric CO2 and optical recognition of nano-molar levels of Zn2+ ions
Authors: Taniya Seikh , Khanra Somnath , Ta Sabyasachi , Chatterjee Sudeshna , Salam Noor , Das Debasis
Published: June 2020

A new Fe(iii) complex (F1), structurally characterised using single crystal X-ray studies, was explored for CO2 fixation, Zn2+ recognition and catecholase activity.
Enhanced capacitive performance by improving the graphitized structure in carbon aerogel microspheres
Authors: Liu Xichuan , Yuan Lei , Zhong Minglong , Ni Shuang , Yang Fan , Fu Zhibing , Xu Xibin , Wang Chaoyang , Tang Yongjian
Published: June 2020

Carbon aerogels (CAs) microspheres with good electrical conductivity and high specific surface area were synthesized by high temperature carbonization and CO2 activation method, which exhibit an enhanced capacitive performance in supercapacitors.
Effects of lipid membrane composition on the distribution of biocidal guanidine oligomer with solid supported lipid membranes
Authors: Ha Yeonjeong , Kwon Jung-Hwan
Published: June 2020

This study experimentally determined the Klipw of PHMG and assessed the effects of lipid membrane composition on Klipw values.
Rh(iii)-catalyzed spiroannulation of 3-arylquinoxalin-2(1H)-ones with alkynes: practical access to spiroquinoxalinones
Authors: Zhang Yuanfei , Huang Ting , Li Xinghua , Zhang Min , Song Ying , Huang Kelin , Su Weiping
Published: June 2020

The use of imines as a H acceptor for Rh(iii)-catalyzed spirocyclization of 3-arylquinoxalinones and alkynes via a C–H functionalization/[3 + 2] annulation sequence has been achieved.
LNA units present in [RP-PS]-(DNA#LNA) chimeras enhance the thermal stability of parallel duplexes and triplexes formed with (2′-OMe)-RNA strands
Authors: Jastrzębska Katarzyna , Mikołajczyk Barbara , Guga Piotr
Published: June 2020

3′-O-(2-Thio-1,3,2-oxathiaphospholane) derivatives of 5′-O-DMT-LNA-nucleosides were used to prepare P-stereodefined (RP-PS)-DNA#LNA chimeras, which form thermally stable parallel complexes with (2′-OMe)-RNA matrices.
Molecular-level insight in supported olefin metathesis catalysts by combining surface organometallic chemistry, high throughput experimentation, and data analysis
Authors: De Jesus Silva Jordan , Ferreira Marco A. B. , Fedorov Alexey , Sigman Matthew S. , Copéret Christophe
Published: June 2020

Combination of high-throughput experimentation, surface organometallic chemistry and data analysis helps to extract key structural parameters that facilitate olefin metathesis.
Rheology of capillary foams
Authors: Okesanjo Omotola , Tennenbaum Michael , Fernandez-Nieves Alberto , Meredith J. Carson , Behrens Sven H.
Published: June 2020

Capillary foams display some rheological features characteristic of classical surfactant stabilized foams, although their architecture more closely resembles that of colloidal gel foams.
The intrinsic microstructure of supramolecular hydrogels derived from α-cyclodextrin and pluronic F127: nanosheet building blocks and hierarchically self-assembled structures
Authors: Wang Jin , Fang Qiang , Ye Lin , Zhang Aiying , Feng Zeng-guo
Published: June 2020

Supramolecular hydrogels based on α-CD and pluronic F127 possess a lamellate network microstructure formed by channel-type crystalline PPR nanosheets.
Well-dispersed Na3V2(PO4)2F3@rGO with improved kinetics for high-power sodium-ion batteries
Authors: Li Feng , Zhao Yifei , Xia Lishuang , Yang Zhendong , Wei Jinping , Zhou Zhen
Published: June 2020

Well-dispersed Na3V2(PO4)2F3@rGO is proposed to improve the kinetics of Na3V2(PO4)2F3 cathode materials for high-power sodium-ion batteries.
Stoichiometry-controllable optical defects in CuxIn2−xSy quantum dots for energy harvesting
Authors: Fuhr Addis S. , Alexandrova Anastassia N. , Sautet Philippe
Published: June 2020

The performance of CuxIn2−xSy quantum dots in energy harvesting devices is controllable by stoichiometry and the formation of distinct defects.
A robust metal–organic framework for post-combustion carbon dioxide capture
Authors: Qazvini Omid T. , Telfer Shane G.
Published: June 2020

Separation and purification technologies for capturing carbon dioxide (CO2) with a low energy footprint are sought after.
Sharp-tip enhanced catalytic CO oxidation by atomically dispersed Pt1/Pt2on a raised graphene oxide platform
Authors: Jia Chuanyi , Zhang Yujin , Wang Xijun , Zhong Wenhui , Prezhdo Oleg V. , Luo Yi , Jiang Jun
Published: June 2020

Sharp carbon-tip on defective graphene oxide induces strong local electric field on Pt-site, offering high catalytic performance.
Bifunctional effect of laser-induced nucleation-preferable microchannels and in situ formed LiF SEI in MXenes for stable lithium-metal batteries
Authors: Xiong Cheng , Wang Zhenyu , Peng Xudong , Guo Yang , Xu Shaolin , Zhao Tianshou
Published: June 2020

A bifunctional effect of laser-induced aligned lithiophilic microchannels and in situ formed LiF-enriched SEI on lithium deposition is proposed by using fs laser on the MXene membrane. Stable Li plating/stripping is achieved at 20 mA cm−2 in an asymmetric cell.
Vapor-deposited functional polymer thin films in biological applications
Authors: Khlyustova Alexandra , Cheng Yifan , Yang Rong
Published: June 2020

Vapor-deposited polymer thin films empower the next-generation biological applications including bio-separations, biosensors & bio-MEMS, drug delivery and tissue engineering.
Platelet-derived nanomotor coated balloon for atherosclerosis combination therapy
Authors: Huang Yangyang , Li Ting , Gao Wentao , Wang Qi , Li Xiaoyun , Mao Chun , Zhou Min , Wan Mimi , Shen Jian
Published: June 2020

A nanorobot is used to realize deep penetration of drugs in atherosclerotic plaque, photothermal ablation of inflammatory macrophages and long-term anti-proliferation effects.
Identification of eight pathogenic microorganisms by single concentration-dependent multicolor carbon dots
Authors: Wang Shujun , Zhang Yongqiang , Zhuo Peng , Hu Qiushi , Chen Zhenqiang , Zhou Lei
Published: June 2020

Single concentration-dependent carbon dots were synthesized and applied to the rapid identification of eight kinds of pathogenic microorganisms.
A tunable bifunctional hollow Co3O4/MO3 (M = Mo, W) mixed-metal oxide nanozyme for sensing H2O2 and screening acetylcholinesterase activity and its inhibitor
Authors: Zhang Xiaodan , Lu Yuwan , Chen Qiumeng , Huang Yuming
Published: June 2020

Mo and W tunable bifunctional hollow Co3O4/MO3 mixed-metal oxide nanozymes were fabricated. They exhibit similar O2 activating ability, while their discrepant H2O2 activating capability is likely ascribed to different catalytic mechanisms.
The improved interfacial polarization in a poly(vinylidene fluoride-co-chlorotrifluoroethylene) composite with hyperbranched polyethylene-graft-poly(methyl methacrylate) modified boron nitride nanosheets
Authors: Ye Huijian , Liu Wenqing , Zhang Xuanhe , Xu Lixin
Published: June 2020

Polymer capacitors are promising candidates for the miniaturization and integration of electronic devices due to their flexibility and large power density.
Oxygen sensing and OLED applications of di-tert-butyl-dimethylacridinyl disubstituted oxygafluorene exhibiting long-lived deep-blue delayed fluorescence
Authors: Gudeika Dalius , Bezvikonnyi Oleksandr , Volyniuk Dmytro , Skuodis Eigirdas , Lee Pei-Hsi , Chen Chia-Hsun , Ding Wen-Cheng , Lee Jiun-Haw , Chiu Tien-Lung , Grazulevicius Juozas V.
Published: June 2020

Optical sensors with high oxygen sensitivity and efficient deep-blue OLEDs with CIEy of 0.08 was developed using the simplicity in molecular design of di-tert-butyl-dimethylacridanyl disubstituted oxygafluorene.
Twisted donor–acceptor molecules for efficient deep blue electroluminescence with CIEy ∼ 0.06
Authors: Shen Ziqiu , Zhu Xiangyu , Tang Weiguo , Feng Xin Jiang , Zhao Zujin , Lu Hua
Published: June 2020

Terphenyl conjugated twisted molecules can be served as deep blue emitters for efficient electroluminescence.
Enhanced through-plane thermal conductivity in Polymer nanocomposites by constructing graphene-supported BN nanotubes
Authors: Li Xu , Li Ya , Alam Md Mofasserul , Miao Jibin , Chen Peng , Xia Ru , Wu Bin , Qian Jiasheng
Published: June 2020

A graphene-supported BNNT filler is fabricated via the in situ implanting of BNNTs on graphene, with the formation of high thermal conductivity nanocomposites via hot-pressing.
A high-performance visible laser rewritable black paper
Authors: Du Zhen , Liu Junning , Gai Hanqi , Sheng Lan , Zhang Sean Xiao-An
Published: June 2020

An automatically printable, classic, and frequently usable high-performance black visible-light-responsive paper has been fabricated.
Te3O3(PO4)2: a phosphate crystal with large birefringence activated by the highly distorted [TeO5] group and antiparallel [PO4] pseudo-layer
Authors: Dong Weimin , Sun Yingjie , Yao Qian , Wang Qingbo , Wen Hang , Li Jing , Xu Xinguang , Wang Jiyang
Published: June 2020

Te3O3(PO4)2 achieves a great improvement in birefringence under the synergistic effect of the highly distorted [TeO5] group and antiparallel [PO4] pseudo-layer.
Constructing a single-white-light emission by finely modulating the occupancy of luminescence centers in europium-doped (Ca1−xSrx)9Bi(PO4)7 for WLEDs
Authors: Cao Yaxin , Wang Xicheng , Ding Jianyan , Zhou Xiaopeng , Seto Takatoshi , Wang Yuhua
Published: June 2020

Single-white-light-emission with broad band is achieved in (Ca1−xSrx)9Bi(PO4)7:0.09Eu based on structural evolution.
Achieving a reversible lower dimensionality transformation for picture archiving and communication system in healthcare
Authors: Banday Shoaib Amin , Pandit Mohammad Khalid , Khan Ab Rouf
Published: June 2020

With the progression of picture archiving and communication systems (PACSs) over the past decade, it has become imperative that such systems be optimised in security, storage, and transmission aspects. The work presented in this Letter shows a framework for medical image compression and secure image transmission for PACSs. The work aims to achieve a lower dimensionality of input medical image signified by a high‐compression ratio, a secure image transmission that can withstand adversarial attacks and provide a reversible reconstruction with minimal error. The authors illustrate that sinusoid modulated Gaussian texture maps, multi‐level chaotic maps, and high‐frequency image maps can be efficiently fused and utilised in a deep learning architecture. The overall analysis depicts promising results with regard to the capability of image compression, security, and transmission. The proposed framework will be a potential candidate for use in PACSs, which effectively is the backbone of the current healthcare paradigm.
Fixed‐time sliding mode‐based observer for non‐linear systems with unknown parameters and unknown inputs
Authors: Langueh Kokou A. A. , Zheng Gang , Floquet Thierry
Published: June 2020

It is of importance to design observers for multi‐variable non‐linear systems with unknown parameters and partially driven by unknown inputs. Such a problem arises in systems subject to disturbances or with inaccessible inputs and in many applications such as parameter identification, fault detection and isolation or cryptography. In this study, the problem of fixed‐time observation for non‐linear dynamical systems with unknown parameter and inputs is studied. Conditions on full/partial state and parameters identification are provided by the way of an observation algorithm based on differential geometry theory. Then, a uniform differentiator for estimating simultaneously the states and unknown parameters in fixed time while avoiding observability singularities is designed. An example on topology identification of network systems is described to show the effectiveness of the proposed method.
Dynamics of interacting particle systems
Authors: Blondel Oriane , Deshayes Aurelia , Labbé Cyril , Marêché Laure , Simon Marielle
Published: June 2020

We collect here recent results covering various aspects of the dynamical properties of interacting particle systems. In Section 1 we study the hydrodynamic limit of a facilitated exclusion process. Section 2 evidences a cutoff phenomenon for the mixing time of the weakly asymmetric exclusion process. Section 3 presents a study of the infection time in the Duarte model. Finally, Section 4 presents the study of a front propagation in the FA-If model.
Verbesserungspotenziale durch neue Resektions- und Bildgebungstechniken bei der TUR-B
Authors: Hennig Martin J. P. , Kramer Mario W.
Published: June 2020

Die transurethrale Resektion von Harnblasentumoren (TURB) ist ein Grundpfeiler in der urologischen Versorgung von Harnblasenkarzinompatienten. Seit der initialen Einführung von Resektoskopen vor knapp 100 Jahren hat sich an der grundlegenden Resektionstechnik wenig geändert. Erst mit der Verbreitung der sog. En-Bloc-Resektion (ERBT), welche im Gegensatz zur fragmentierten Abtragung die Tumorintegrität erhält, findet eine zögerliche Neujustierung der Technik statt. Vorteile, die der ERBT zugeschrieben werden, sind die bessere histopathologische Beurteilbarkeit und die höhere Detrusormuskulaturrate. Zudem sind Tendenzen für eine geringere Rate an sog. „in-field“ Rezidiven sowie eine verminderte Komplikationsrate beschrieben worden. Randomisierte, kontrollierte Studien mit geeigneter Fallzahl und Methodik stehen allerdings aus. Nur wenige Neuerungen hinsichtlich verbesserter endoskopischer Tumordiagnostik sind in den letzten Jahren hinzugekommen. Erwähnenswert ist die multiparametrische Magnetresonanztomografie der Blase, welche die Genauigkeit der lokalen Tumorausbreitung im Vergleich zur alleinigen konventionellen Bildgebung verbessern soll, sowie Verfahren aus dem Bereich der künstlichen Intelligenz. Die Intention dieses Artikels ist es einen aktuellen Stand über die ERBT sowie die lokale Diagnostik bei Harnblasentumoren zu geben.
Bioactive Properties of the Aqueous Extracts of Endophytic Fungi Associated with Scots Pine (Pinus sylvestris) Roots
Authors: Tienaho Jenni , Karonen Maarit , Muilu-Mäkelä Riina , Kaseva Janne , de Pedro Nuria , Vicente Francisca , Genilloud Olga , Aapola Ulla , Uusitalo Hannu , Vuolteenaho Katriina , Franzén Robert , Wähälä Kristiina , Karp Matti , Santala Ville , Sarjala Tytti
Published: June 2020

Despite the continuing interest in various plant and natural products, only a small portion of the biologically active compounds from nature has been discovered and exploited. In this study, antioxidant and antibacterial properties of aqueous fractions of three endophytic fungi isolated from the roots of 8-year-old Scots pines (Pinus sylvestris) growing on a drained peatland were investigated. The endophytic fungi species were Acephala applanata, Phialocephala fortinii, and Humicolopsis cephalosporioides/Coniochaeta mutabilis. The bioactivities were examined using hydrogen peroxide scavenging and oxygen radical absorbance capacity tests as well as sensitive Escherichia coli-based biosensors, which produce a luminescent signal in the presence of substances with oxidative or genotoxic properties. In addition, cell models for Parkinsonʼs disease, age-related macular degeneration, and osteoarthritis were used to evaluate the potential for
pharmaceutical applications. The aqueous extracts of fungi and 19 out of 42 fractions were found to be active in one or more of the tests used. However, no activity was found in the age-related macular degeneration and osteoarthritis cell model tests. Additionally, bioactivity data was connected with metabolites putatively annotated, and out of 330 metabolites, 177 were interesting in view of the bioactivities investigated. A majority of these were peptides and all three fungal species shared a highly similar metabolome. We propose that Scots pine endophytic fungi are a rich source of interesting metabolites, and synergistic effects may cause the bioactivities, as they were found to vary after the fractionation process.
P(OEt)3-Mediated Formal S–H Insertion: Reductive Couplings of Isatins with Thiols to Generate 3-Sulfenylated Oxindoles
Authors: Kong Dulin , Wu Mingshu , Huang Tiao , Liu Li , Wang Qinghe
Published: June 2020

A new P(OEt)3-mediated formal S–H bond-insertion reaction of isatins into thiols for the synthesis of valuable 3-sulfenylation oxindoles has been developed. This approach takes advantage of the unique reactivity of Kukhtin–Ramirez adducts to allow direct reductive S–H functionalization with commercially available and bench-stable starting materials.
Resultado funcional dos pacientes submetidos a artrodese de joelho após artroplastia total infectada
Authors: Vivacqua Thiago , Moraes Rui , Barretto João , Cavanelas Naasson , Albuquerque Rodrigo , Mozella Alan
Published: June 2020

Objetivo Avaliar de modo retrospectivo o resultado funcional dos pacientes submetidos a artrodese após falha séptica da artroplastia total de joelho.

Métodos Foram avaliados 18 pacientes com tempo médio de 3,7 anos de seguimento. A cirurgia de artrodese foi realizada com placa do tipo dynamic compression plate (DCP) estreita, anterior e medial, ou fixador externo em dois planos da articulação (Orthofix Bone Growth Therapy, Lewisville, TS, EUA), a critério do cirurgião.

Resultados O patógeno mais frequentemente encontrado foi o Staphylococcus aureus sensível a meticilina (38,9%). A discrepância de membros inferiores média foi de 3,63 cm. O da knee society score (KSS) médio foi de 68 pontos. Segundo a escala analógica visual de dor, 44% dos pacientes apresentaram pontuação zero no momento da avaliação, e 22,2% estavam muito insatisfeitos a despeito da consolidação óssea obtida. Os pacientes foram avaliados quanto à capacidade de deambular com ou sem auxílio de apoio.

Conclusão A cirurgia de artrodese do joelho se mostrou eficiente quanto ao controle do processo infeccioso e diminuição das queixas álgicas, porém a satisfação com o procedimento é baixa.
Factors Associated with the Need for Ventriculoperitoneal Shunting in Patients with Spontaneous Intracerebral Hemorrhage Requiring Emergency Cerebrospinal Fluid Diversion
Authors: Alimohammadi Ehsan , Bagheri Seyed Reza , Hadidi Homa , Habibi Shabnam , Amiri Akram , Moradi Sahar , Abdi Alireza
Published: June 2020

Introduction Intracerebral hemorrhage (ICH) is a serious medical condition that is frequently complicated by acute hydrocephalus, necessitating emergency cerebrospinal fluid (CSF) diversion in a subset of patients, ultimately requiring long-term treatment via placement of permanent ventricular shunts. The present study aimed to determine factors associated with the need for permanent ventricular shunt placement in these patients.

Methods A total of 309 consecutive patients who underwent emergent CSF diversion with external ventricular drain (EVD) as a treatment for ICH between July 2009 and July 2018 were studied retrospectively to assess the factors that might be correlated with shunt-dependent chronic hydrocephalus. A binary logistic regression model was designed to identify independent related factors of shunt-dependent hydrocephalus after ICH.

Results Of 309 patients included in this study, 102 (33.00%) required permanent ventricular CSF shunting before discharge. In univariate analysis, age,ventriculitis, ICP elevation >30 mm Hg, ICH evacuation, the Graeb score, days of EVD in place, and CSF protein levels were significantly associated with the requirement for permanent CSF diversion (p < 0.05). The age and ICH evacuation were protective variables and the ventriculoperitoneal (VP) shunt possibility was reduced by 22.6 and 63.5%, respectively.

Conclusion Our results showed that higher Graeb score, ICP elevation >30 mm Hg, more days of EVD in place, and higher CSF protein levels were associated with permanent CSF diversion in these patients. Advanced age and ICH evacuation decreased the possibility of VP shunting in our study.These factors may help in predicting which patients will need permanent CSF diversion and could ultimately lead to improvements in the management of these patients.
Pattern of Pulmonary Dysfunctions in Craniovertebral Junction Anomaly and Its Persistence after Rigid Occipitocervical Fixation
Authors: Bodeliwala Shaam , Nagar Vikas , Singh Hukum , Singh Daljit , Jagetia Anita , Pandey Sharad , Ruttala Rajesh , Kumar Pankaj
Published: June 2020

Introduction Despite a significant advancement in operative techniques of occipitocervical fixation, there is a poor postoperative patient outcome. This can be attributed to restrictive lung pattern in craniovertebral junction anomalies (CVJAs) patients resulting from repeated trauma to cervicomedullary junction by the pincer action of the bony anomalies and compression of the brainstem. We evaluate the changes in pulmonary function tests (PFTs) following rigid occipitocervical fixation in CVJA.

Methods PFTs of 20 CVJA patients were measured pre and postoperatively using spirometry. Measurements included forced vital capacity (FVC), forced expiratory volume in one second (FEV1), maximum forced mid-expiratory flow rate (FEF25–75%), and ratio of FEV1 and FVC (FEV1%). The parameters were compared with the predicted normal values based on their age and sex. PFTs were repeated on the seventh postoperative day. McCormick grading was used to assess neurological function.

Results  The values of PFTs in the preoperative period were significantly lower than predicted normal values. The mean values of FVC, FEV1, FEF25–75% were 72, 68, and 71% of their mean predicted values, with FEV1% in the range of 70 to 95% with a mean of 81.4%. Postoperatively there was further significant reduction in the mean values of FVC, FEV1, FEF25–75%, and FEV1% compared with the preoperative values. There was neurological improvement in McCormick grades of patients postoperatively (from grade III and IV to grade II).

Conclusion A significant restrictive lung disease is present in patients of CVJA, even though not clinically apparent, and it persists in the early postoperative period. However, a long-term follow-up is required to assess whether pulmonary function parameters improve subsequently.
A Randomized Trial of Voice-Generated Inpatient Progress Notes: Effects on Professional Fee Billing
Authors: White Andrew A. , Lee Tyler , Garrison Michelle M. , Payne Thomas H.
Published: June 2020

Background Prior evaluations of automated speech recognition (ASR) to create hospital progress notes have not analyzed its effect on professional revenue billing codes. As ASR becomes a more common method of entering clinical notes, clinicians, hospital administrators, and payers should understand whether this technology alters charges associated with inpatient physician services.

Objectives This study aimed to measure the difference in professional fee charges between using voice and keyboard to create inpatient progress notes.

Methods In a randomized trial of a novel voice with ASR system, called voice-generated enhanced electronic note system (VGEENS), to generate physician notes, we compared 1,613 notes created using intervention (VGEENS) or control (keyboard with template) created by 31 physicians. We measured three outcomes, as follows: (1) professional fee billing levels assigned by blinded coders, (2) number of elements within each note domain, and (3) frequency of organ system evaluations documented in review of systems (ROS) and physical exam.

Results Participants using VGEENS generated a greater portion of high-level (99233) notes than control users (31.8 vs. 24.3%, p < 0.01). After adjustment for clustering by author, the finding persisted; intervention notes were 1.43 times more likely (95% confidence interval [CI]: 1.14–1.79) to receive a high-level code. Notes created using voice contained an average of 1.34 more history of present illness components (95% CI: 0.14–2.54) and 1.62 more review of systems components (95% CI: 0.48–2.76). The number of physical exam components was unchanged.

Conclusion Using this voice with ASR system as tested slightly increases documentation of patient symptom details without reliance on copy and paste and may raise physician charges. Increased provider reimbursement may encourage hospital and provider group to offer use of voice and ASR to create hospital progress notes as an alternative to usual methods.
Severe Diabetic Ketoacidosis in a Child with Type-1 Diabetes, Asthma, and COVID-19
Authors: Vasconez Wilson A. , Bustamante Escobar Carmen L. , Agarwal Nisha , Solano Juan P. , Sanchez Janine E.
Published: June 2020

Little is known about the association between novel coronavirus disease 2019 (COVID-19) and type-1 diabetes in children. A 16-year-old female patient with history of type-1 diabetes was admitted for life threatening diabetic ketoacidosis (DKA). She recovered from the DKA after 24 hours of insulin infusion and rehydration. On day 2, she was diagnosed with COVID-19. The DKA relapsed and required restarting insulin. She developed leukopenia, neutropenia, and high ferritin. Upon recovery, she was discharged for self-quarantine. Severity of DKA in children with COVID-19 is multifactorial. Clinical suspicion of COVID should be heightened in patients who present with unexplainedly severe DKA.
Does mental fatigue impair physical performance? A replication study
Authors: Holgado Darías , Troya Esther , Perales José C. , Vadillo Miguel A. , Sanabria Daniel
Published: June 2020

The aim of this study is to replicate the hypothesis that mental fatigue impairs physical performance in a pre‐registered (https://osf.io/wqkap/) within‐subjects experiment. 30 recreationally active adults completed a time‐to‐exhaustion test (TTE) at 80% VO2max in two separate sessions, after completing a mental fatigue task or watching a documentary for 90 min. We measured power output, heart rate, (session) rating of perceived exertion (RPE) and subjective mental fatigue. Bayes factor analyses revealed extreme evidence supporting the alternative hypothesis that the mental fatigue task was more mentally fatiguing than the control task, BF01 = 0.009. However, we found moderate‐to‐strong evidence for the null hypothesis (i.e., no evidence of reduced performance) for average time in TTE (BF01 = 9.762) and anecdotal evidence for the null hypothesis in (session) RPE (BF01 = 2.902) and heart rate (BF01 = 2.587). Our data seem to challenge the idea that mental fatigue has a negative influence on exercise performance. Although we did succeed at manipulating subjective mental fatigue, this did not impair physical performance. However, we cannot discard the possibility that mental fatigue may have a negative influence under conditions not explored here, e.g., individualizing mentally fatiguing tasks. In sum, further research is warranted to determine the role of mental fatigue on exercise and sport performance.
Plasmonic biosensor based on excellently absorbable adjustable plasmon-induced transparency in black phosphorus and graphene metamaterials
Authors: Liu Chao , Li Hongjian , Xu Hui , Zhao Mingzhuo , Xiong Cuixiu , Li Min , Ruan Banxian , Zhang Baihui , Wu Kuan
Published: June 2020

Both black phosphorus (BP) and graphene metamaterials support surface plasmon resonance that is very sensitive to the local change of dielectric properties in the system. We design a novel BP ribbons and graphene sheet hybrid structures based on tunable mid-infrared plasmon-induced transparency. The destructive interference of two excited state modes in the structure leads to a pronounced induced transparent window, and the excellent absorption of the two channels is obtained. The transmission characteristics of the hybrid structures are theoretical calculation, and the results are in good agreement with the numerical simulation curve. The dynamic adjustment function can be realized by adjusting the carrier density of BP and the Fermi level of graphene, and the excellent absorption performance not affected within the adjustment range. Moreover, we found that the optical phase is rapid flips at the plasmon resonance position. Therefore, a sensing medium layer is added on top of the structure to implement a high-sensitivity plasmonic biosensor. This work may provide potential applications to plasmonic devices based on two-dimensional metamaterial.
Step-edge assisted large scale FeSe monolayer growth on epitaxial Bi2Se3 thin films
Authors: Fikáček J , Procházka P , Stetsovych V , Průša S , Vondráček M , Kormoš L , Skála T , Vlaic P , Caha O , Carva K , Čechal J , Springholz G , Honolka J
Published: June 2020

Enhanced superconductivity of FeSe in the 2D limit on oxide surfaces as well as the prediction of topological superconductivity at the interface to topological insulators makes the fabrication of Fe-chalcogenide monolayers a topic of current interest. So far superconductive properties of the latter are mostly studied by scanning tunneling spectroscopy, which can detect gaps in the local density of states as an indicator for Cooper pairing. Direct macroscopic transport properties, which can prove or falsify a true superconducting phase, are yet widely unexplored due to the difficulty to grow monolayer films with homogeneous material properties on a larger scale. Here we report on a promising route to fabricate micron-scale continuous carpets of monolayer thick FeSe on Bi2Se3 topological insulators. In contrast to previous procedures based on ultraflat bulk Bi2Se3 surfaces, we use molecular beam epitaxy grown Bi2Se3 films with high step-edge densities (terrace widths 10–100 nm). We observe that step edges promote the almost strainless growth of coalescing FeSe domains without compromising the underlying Bi2Se3 crystal structure.
Poisson GSTAR model: spatial temporal modeling count data follow generalized linear model and count time series models
Authors: Wardhani L P , Setiawan  , Suhartono  , Kuswanto H
Published: June 2020

This paper discusses the formation of one temporal spatial model, the Generalized Space Time Autoregressive (GSTAR) model, if the data of model is count data. The development of the GSTAR model is an update or problem completion of the count data which tends to be stationary and non-normal / Gaussian data, because GSTAR model is assumed normal distributed and stationarity. GSTAR modelling for count data refers to the Time series model for count data, which are the Generalized Autoregressive Moving Average (GARMA) model and modeling Count Time Series which has the Generalized Linear Model (GLM) concept. The model formed is called the Poisson GSTAR model
An introduction of the GE/BC embedded meshless method by using an ODE problem as example
Authors: Wu Nan-Jing , Lin Yen-Ting
Published: June 2020

In this paper, the GE/BC embedded meshless method is illustrated by using a 1D boundary value problem as an example. The formulation for solving one dimensional ordinary differential equation is listed. Comparison with conventional collocation method is also demonstrated. The GE/BC embedded meshless method performs much better, especially in the computation of the derivative at boundary nodes.
Convolutional neural network modeling for classification of pulmonary tuberculosis disease
Authors: Andika Lingga Aji , Pratiwi Hasih , Sulistijowati Handajani Sri
Published: June 2020

Tuberculosis (TB) is caused by bacteria (Mycobacterium tuberculosis) that most often affect the lungs so called Pulmonary Tuberculosis or PTB. Diagnosis using a chest radiograph image manually by doctor requires a long time, even difficult to detect PTB. Convolutional neural network (CNN) is a deep learning method that adopts the performance of human brain neurons called neural network and convolution functions to classify images. CNN can also help classify PTB based on chest radiograph images. This study uses data from the National Library of Medicine, Maryland, USA in collaboration with Shenzhen No.3 People’s Hospital, Guangdong Medical College, Shenzhen, China including 663 images entered into two classes, normal and PTB. This study uses adaptive momentum optimization (Adam) which serves to improve the accuracy of the model. The classification results of the models built were 99.19% for training data and 80.60% for validation data with 75 epochs, and accuracy in the test data was 84% which means that the model was able to qualify 84% of the test data into normal classes and PTB appropriately. 25 correctly classified as normal lungs, 5 incorrectly and 26 correctly classified as PTB and 5 incorrect.
The Effect Of Wind Turbine On Sea Flow
Authors: Anggriani I , Adnyani L P , Millah N
Published: June 2020

Indonesia is a maritime country that had quite extensive territorial waters, one of which was located in the East Kalimantan region. Despite having a large enough water area, only 30 percent of new marine products were used. Marine resources, especially fisheries in Indonesia, were very abundant but had not been utilized to the full, so it needs to be made offshore cages with the concept of aquaculture. Pembangkit Listrik Tenaga Bayu (PLTB) was renewable alternative energy for the coastal region. To support the development of this technological innovation, this study discussed the movement of ocean currents under the influence of wind turbines. The governing equation consists of the Shallow Water Equation and the wind turbine model. After the governing equation is formed, the model is solved numerically and the effect of wind turbines on sea flow can be observed. The influence of wind turbines on sea currents is large enough that it needs to be reviewed in the planning of developing wind turbines in the offshore sea area.
Counting of Bacterial Colonies of the Low Quality Image Using Perona-Malik Diffusion Filters and Image Morphology Operators
Authors: Hamdani Ibnu Mansyur , Anam Syaiful , Shofianah Nur
Published: June 2020

Microbiology has an important role in solving human problems that are complex in many fields, such as environment, medical, and biotechnology. One of the important researches in microbiology fields is the counting of the number of bacterial colonies. This research is very important to estimate the number of bacterial cells in each millilitre or gram sample. However, the manual counting of bacterial colonies is a time-consuming task and is also very tedious. To help microbiologists, an automatic counting method of bacterial colonies based on bacterial colonies images is needed to be developed. However, the bacterial colonies images taking by the phones camera has low-quality. They are noise presence and lack of contrast, so the pre-processing method is necessary to be developed. This paper proposes the pre-processing method by using modified Perona-Malik Diffusion (PMD) and Contrast Limited Adaptive Histogram Equalization (CLAHE). The modified PMD filter is used to reduce noise, while the CLAHE method is used to enhance the contrast. Moreover, the morphology operators are used for the petri dish extraction and bacterial colonies counting process. The experimental results show that the proposed method has better performance than the original PMD based on the average values of precision, recall, and F-measure.
A random search method for finding ‘K ≥ 2’ number of ranked optimal solution to an assignment problem
Authors: Kumar Santosh , Al-Hasani Ali , Al-Rabeeah Masar , Eberhard Andrew
Published: June 2020

A need for an optimal solution for a given mathematical model is well known and many solution approaches have been developed to identify efficiently an optimal solution for a given situation. For example, one such class of mathematical models with industrial applications have been classified as mathematical programming models (MPM). The main idea behind these models is to find the optimal solution described by those models and interpret the solution back with respect to the given industrial situation. However, the same is not true for a ‘K’number of ranked optimal solutions, where K ≥ 2. Mathematically, the Kth best solution, K ≥ 2, deals with determination of the 2nd, 3rd, 4th or in general the Kth best solution. This Kth best solution, K ≥ 2, suddenly becomes much more demanding with respect to computational requirements, which increases with the increase in the value of K. This paper first identifies difficulties associated with determination of ranked solutions and later develops a random search method to find ranked optimal solutions in the case of an assignment problem. We test the efficiency of the proposed approach by executing the random search method on a number of different size assignment problems.
Missile Control Design for Moving Target using Model Predictive Control
Authors: Asfihani Tahiyatul , Mufidah Mirzaq Khoirul , Subchan Subchan , Adzkiya Dieky
Published: June 2020

In this paper, Model Predictive Control (MPC) is proposed to control a missile such that the missile reaches the moving target in minimum time. The dynamics of missile is a non-linear model. MPC is applied to linearized missile dynamics. In this study, we conduct some simulations, namely with state constraints and without state constraints. We also observe the influence of weights and prediction horizon to the time needed to reach the target. The simulation results show that the fastest time to reach the target is 20 seconds. This is achieved when the prediction horizon is 10 and the state constraints are present.
Morphological contour decomposition and reconstruction by using asymmetric SEs
Authors: Lu Minhao , Idogawa Tomoyuki
Published: June 2020

We had proposed an algorithm based on mathematical morphology to decompose and reconstruct an image by using two contours [4]. These contours are defined as the edge and the second edge (i.e., the edge of the image which has been removed an edge once) of the original image. Since these contours have informations of boundary and internal direction of image, the original image can be reconstructed exactly from them. However, there was a restriction in this algorithm that the structuring element (SE) used for making contours must be symmetric. In this paper, we will show an expansion of the algorithm to be able to use asymmetric SEs under a certain condition and also show some applications of this method.
CPT Symmetry Test at KLOE-2
Authors: De Lucia E
Published: June 2020

The entanglement in the neutral kaon pairs produced at the DAΦNE ϕ-factory is a unique tool to test discrete symmetries and quantum coherence at the utmost sensitivity, in particular strongly motivating the experimental searches of possible CPT violating effects, which would unambiguously signal New Physics. KLOE and KLOE-2 data sets with about 2.4×1010
ϕ-meson produced represent the largest sample ever collected at the ϕ-meson peak. The lepton charge asymmetry measured in K

S
semileptonic decays with 1.7 fb−1 of KLOE data, improving the statistical uncertainty of present result by about a factor two, has been presented together with the test of CPT in transitions in ϕ → K

S

K

L
→ π
±
e

∓

ν, 3π
0 and K

S

K

L
→ π
+
π
−, π
±
e

∓

ν decays.
Flavour physics and CP violation at KLOE-2
Authors: Selce A
Published: June 2020

The KLOE-2 experiment at the upgraded e
+
e
− DAΦNE collider of the INFN Laboratori Nazionali di Frascati completed its data taking campaign at the end of March 2018, collecting 5.5 fb−1 at the center of mass energy corrisponding to the mass of the ϕ-meson. Together with the data set of its predecessor KLOE, the acquired data sample of 8 fb−1 corresponds to 2.4×1010
ϕ-meson produced: the largest sample ever collected at the ϕ(1020) at e
+
e
− colliders.

KLOE-2 Collaboration activities are now focused on data reconstruction and analysis, continuing the KLOE long-standing tradition of flavour physics precision measurements in the kaon sector, to probe CKM unitarity and search for dark force mediator. Latest results on K

S
rare decays will be presented and discussed in the framework of Flavour Physics and CP Violation tests, focusing on the measurement of K

S
semileptonic branching ratios, using 1.7 fb−1 KLOE data, and the search for the pure CP-violating K

S
→ 3π
0 decay.
Normalization Studies on the 2016-2018 Data for the KOTO Experiment
Authors: Hutcheson Melissa A.
Published: June 2020

The KOTO experiment is searching for the rare decay of the neutral kaon,

K
L
0

→

π
0

ν

ν
¯

. KOTO collected data from 2016 to 2018 and accumulated 3.1 × 1019 Protons on Target (POT). Results on the normalization analysis of this dataset are described. Three normalization modes,

K
L
0

→
3

π
0

,

K
L
0

→
2

π
0

, and

K
L
0

→
2
γ

, are used to calculate the

K
L
0

flux and the number of kaons at the beam exit. The data is well reproduced by the Monte Carlo and the total number of kaons is (7.14 ± 0.05) × 1012. This gives a Single Event Sensitivity (SES) of 6.9 × 10−10.
Implementation of single shot detector for object finding in drone platform
Authors: Faza Alfarih , Darma Surya
Published: June 2020

The developing of object detection for many purpose has come to various techniques. Some of those works also implement to solve our daily life problem. Those development which are state-of-the-art are mostly applicable with many pros than others. In this paper we use one of state-of-the-art of object detection to control a quadcopter i.e. Single Shot MultiBox Detector (SSD). SSD is used to detect an object as quadcopter target for approach mission. SSD also use to keep an eye of the target. The target is represented in shape of ROI location. This ROI or a bounding box location is used as feedback of the control system of quadcopter which will guide the quadcopter to approach. The mission is considered as success if the quadcopter is stopped at minimum range 1 meter toward target. This works shows the successful of object detection implementation by serving IMU responses and measured distance to object responses.
Stroke severity classification based on EEG signals using 1D convolutional neural network
Authors: Yunita Dewi Fitria , Faza Alfarih , Prajitno Prawito , Kusuma Wijaya Sastra
Published: June 2020

Acute Ischemic Stroke (AIS) is one kind of stroke that occurs the most. Stroke itself is the number one cause of death that can reduce blood flow and deprive the oxygen into the brain. Early diagnosis can help patients getting faster medical treatment thus avoid unwanted damage to the brain. Electroencephalogram (EEG) is an alternative tool for diagnosing AIS to the standard tools as in MRI or CT-scan. In this research, we try to classify stroke severity with 1 dimensional CNN (Convolutional Neural Network). The proposed method calculates the power spectral density (PSD) of EEG recordings from normal and stroke subjects, as the model’s inputs and extracts feature automatically using CNN. The final feature-maps were trained in fully connected layer to classify 4 classes: normal, mild, moderate and severe stroke. The research is conducted to reach the possible optimum computing time with accuracy reached to 97.3% for 64 s segmentation, and 50 convolutional filters with 1x120 kernel size. This result is obtained by using the EEG signal from 4 channels: C3, C4, O1, and O2.
Rain detection in image using convolutional neural network
Authors: Luqman Hakim Arif , Prawito
Published: June 2020

Weather is a phenomenon occurs in the earth’s atmosphere. Weather affects human daily activities, especially outdoor activities. Weather observations including rainfall observation in Indonesia conducted by Meteorology, Climatology, and Geophysical Agency (BMKG). BMKG facing a major problem in terms of rainfall data spatial density. The insufficient amount and unevenly distributed rainfall measurement instrument, are two main factors contributing to rainfall data special density problems. One of the very prominent methods to gain a larger amount of rainfall measurement location is using the image obtained from existing Closed Circuit Television (CCTV) spread over vast areas, especially in the Jakarta region. The approach to recognize and classify the rainfall in a certain area from the CCTV image used in this research is the Convolutional Neural Network (CNN) method. The image data was taken from CCTV located in Kamal, Kalideres, West Jakarta. The images taken is split into two categories, the one that shows a rainy day and the one that shows a clear day. These two categories of images will be used as sample data to train CNN, an effort to obtain a suitable model. By using the CNN method, it’s possible to recognize and classify the rainfall condition within an image based on the model. Python is an open-source programming language that widely used nowadays to run CNN. The image classification using this CNN, scored approximately 98.30% of accuracy, which means that the model is optimal to recognize and classify rainfall conditions in a certain area based on the CCTV images.