bluuebunny/crossref_metadata_2025_split huggingface dataset:
The ProBio Trial: Molecular Biomarkers for Advancing Personalized Treatment Decision in Patients with Metastatic Castration-Resistant Prostate Cancer
Authors: Crippa Alessio , De Laere Bram , Discacciati Andrea , Larsson Berit , Connor Jason T. , Gabriel Erin E , Thellenberg Camilla , Jänes Elin , Enblad Gunilla , Ullen Anders , Hjälm-Eriksson Marie , Oldenburg Jan , Ost Piet , Lindberg Johan , Eklund Martin , Grönberg Henrik 
Published: February 2020

Abstract
Background: Multiple therapies exist for patients with metastatic castration-resistant prostate cancer (mCRPC). However, their improvement on progression free survival (PFS) remains modest, potentially explained by tumour molecular heterogeneity. Several prognostic molecular biomarkers have been identified for mCRPC that may have predictive potential to guide treatment decision and prolong PFS. We designed a platform trial to test this hypothesis.Methods: The Prostate-Biomarker (ProBio) study is a multi-center, outcome-adaptive, multi-arm, biomarker-driven platform trial for tailoring treatment decisions for men with mCRPC. Treatment decisions in the experimental arms are based on biomarker signatures defined as mutations in certain genes/pathways suggested in the scientific literature to be important for treatment response in mCRPC. The biomarker signatures are determined by targeted sequencing of circulating tumor and germline DNA using a panel specifically designed for mCRPC.Discussion: Patients are stratified based on the sequencing results and randomized to either current clinical practice (control), where the treating physician decides treatment, or to molecularly driven treatment selection based on the biomarker profile. Outcome-adaptive randomization is implemented to early identify promising treatments for a biomarker signature. Biomarker signature-treatment combinations graduate from the platform when they demonstrate 85% probability of improving PFS compared to the control arm. Graduated combinations are further evaluated in a seamless confirmatory trial with fixed randomization. The platform design allows for new drugs and biomarkers to be introduced in the study.Conclusions: The ProBio design allows promising treatment-biomarker combinations to quickly graduate from the platform and be confirmed for rapid implementation in clinical care.
User scheduling for multicast transmission in High Throughput Satellite systems
Authors: Zhang Shuo , Jia Min , Wei Yuming , Guo Qing 
Published: February 2020

Abstract
Adopting full frequency reuse in High Throughput Satellite (HTS) systems is expected to cope with huge communication demands and large user populations. Moreover, a kind of multicast transmission, which embeds the data of several users in each frame, can be employed to increase the efficiency of HTS systems. Multicast precoding is usually utilized in such systems to mitigate the co-frequency interference between beams and improve the efficiency of transmission. In this context, considering that the number of users may exceed the number of available communication resources in the system, we investigate user scheduling for the multicast transmission in HTS systems with full frequency reuse and multicast precoding. We perform user scheduling according to the user channel state information and decouple the scheduling problem into two phases: intra-beam and inter-beam scheduling. Intra-beam scheduling determines the users involved in the transmission of each frame with the purpose of reducing the influence of the multicast fashion. For intra-beam scheduling, we put forth a fixed-size user grouping algorithm. In contrast to previous studies, this algorithm takes the interference among beams into consideration during the scheduling. In inter-beam scheduling, user groups belonging to different beams are scheduled to improve the performance of the multiplexed transmission. An inter-beam scheduling algorithm is proposed to improve the fairness among users. The simulation results verify the superiority of the proposed algorithms in terms of fairness and spectral efficiency.
kGCN: A graph-based deep learning framework for chemical structures
Authors: Kojima Ryosuke , Ishida Shoichi , Ohta Masateru , Iwata Hiroaki , Honma Teruki , Okuno Yasushi 
Published: February 2020

Abstract
Deep learning is developing as an important technology to perform various tasks in cheminformatics. In particular, graph convolutional neural networks (GCNs) have been reported to perform well in many types of prediction tasks related to molecules. Although GCN exhibits considerable potential in various applications, appropriate utilization of this resource for obtaining reasonable and reliable prediction results requires thorough understanding of GCN and programming. To leverage the power of GCN to benefit various users from chemists to cheminformaticians, an open-source GCN tool, kGCN, is introduced. To support the users with various levels of programming skills, kGCN includes three interfaces: a graphical user interface (GUI) employing KNIME for users with limited programming skills such as chemists, as well as command-line and Python library interfaces for users with advanced programming skills such as cheminformaticians. To support the three steps required for building a prediction model, i.e., pre-processing, model tuning, and interpretation of results, kGCN includes functions of typical pre-processing, Bayesian optimization for automatic model tuning, and visualization of the atomic contribution to prediction for interpretation of results. kGCN supports three types of approaches, single-task, multi-task, and multi-modal predictions. The prediction of compound-protein interaction for four matrixmetalloproteases, MMP-3, -9, -12 and -13, in the inhibition assays is performed as a representative case study using kGCN. Additionally, kGCN provides the visualization of atomic contributions to the prediction. Such visualization is useful for the validation of the prediction models and the design of molecules based on the prediction model, realizing “explainable AI” for understanding the factors affecting AI prediction. kGCN is available at https://github.com/clinfo/kGCN.
Novel quantum molecular resonance energy source for laparoscopic bipolar vessel sealer: An experimental study in animal model
Authors: Yu Jiwoong , Im Jungeun , Kwon Soonyoung , Kim Jongchan , Kim Sungmin , Kim Jung Hyun , Jeong Byong Chang 
Published: February 2020

Abstract
Background: The majority of conventional bipolar energy-based vessel sealing devices utilize energy at frequencies between 300 kHz and 500 kHz. The use of such frequencies has the disadvantages including unintended damage to surrounding tissues and excessive surgical smoke production. Here, we developed an bipolar energy source using Quantum Molecular Resonance (QMR) energy of 4–64 MHz and combined this into a laparoscopic vessel sealer. We investigate the microscopic tissue effect and surgeon's experiences of laparoscopic bipolar vessel sealer using a novel QMR energy source through animal experiments. Results: In an open surgical setting, QMR energy sources showed higher sealing success rates (100% vs. 66.7%) and higher burst pressure (963 mmHg vs. 802mmHg) of the sealed vessels compared to LigaSure™. Histological analysis showed less vessel wall injury in the QMR energy source (55.0% vs. 73.9%). In the laparoscopic setting experiments, compared to LigaSure™, QMR energy sources showed statistically significantly less smoke formation (p = 0.014), less tissue carbonization (p = 0.013), and less stickiness (p = 0.044) during sealing tissues. Conclusions: Novel QMR energy source for laparoscopic bipolar vessel sealer could produce better sealing performance and less surrounding tissue damage compared to the conventional devices. Laparoscopic surgery using QMR energy sources showed better surgeon's experiences in terms of surgical smoke formation, tissue carbonization, and stickiness.
The Association between Metformin and Survival of Head and Neck Cancer: A Systematic Review and Meta-Analysis of 7 Retrospective Cohort Studies
Authors: Wang Yongbo , Fu Tao , Liu Yu , Yang Guifang , Yu Chuanhua , Zhang Zhi-Jiang 
Published: February 2020

Background:
Metformin has been associated with improved survival outcomes in various malignancies.
However, observational studies in head and neck cancer are inconsistent.

Objective:
The study aimed to summarize and quantify the relationship between metformin use and the survival
of head and neck cancer.

Methods:
A meta-analysis based on cohort studies was systematically conducted (published up to Jan 18, 2020),
identified from PubMed, Embase, Web of Science, Cochrane Library, Google Scholar, and Scopus databases.
Summary hazard ratios (HR) and 95% confidence intervals (CI) were calculated using a random-effects model.

Results:
Seven retrospective cohort studies including 3,285 head and neck cancer patients were included. The
association between the use of metformin and cancer survival was not statistically significant: summarized HR of
0.89 (95% CI 0.66-1.18, P=0.413, I2=64.0%) for overall survival, summarized HR of 0.65 (95% CI 0.31-1.35,
P=0.246, I2=60.3%) for disease-free survival, and summarized HR of 0.69 (95% CI 0.40-1.20, P=0.191,
I2=73.1%) for disease-specific survival.

Conclusion:
In this meta-analysis of 7 retrospective cohort studies, there was not a statistically significant association
between the use of metformin and better survival for head and neck cancer. However, the analysis may
have been underpowered. More studies of prospective designs with larger sample sizes are needed to investigate
the effect of metformin on the survival of head and neck cancer.
Expression Levels of A Disintegrin-like Metalloproteinase with Thrombospondin Motifs-4 and -5 (ADAMTS-4 and ADAMTS-5) in Inflamed and Healthy Gingival Tissues
Authors: Tayman Mahmure A. , Koyuncu İsmail , Köklü Nimet Ö. 
Published: February 2020

Background:ADAMTS (A disintegrin-like metalloproteinase with thrombospondin motifs) is a group of 19 zinc-dependent metalloproteases known to function in many pathological and physiological processes, such as adhesion, cell fusion, signaling, proteolysis and ECM degradation.Objectives:The aim of this study was to demonstrate the levels of ADAMTS-4 and -5 in gingival tissues with Stage III-Grade B generalized periodontitis (SIII-GB), Stage III-Grade C generalized periodontitis (SIII-GC) and healthy-control (C) groups.Methods:The clinical measurements were recorded for each patient. A total of 63 gingival biopsy specimens were obtained from the C (n:20), SIII-GB (n:23) and SIII-GC (n:20) groups. Polymerase chain reaction (Rt-PCR) and immunohistochemical (IHC) examinations were used to determine gene and protein levels.Results:According to the results of all methods, ADAMTS-4 and -5 expressions existed in periodontitis and C groups (P> 0.05). Immunostaining for ADAMTS-4 was found to be higher in patients with periodontitis than for ADAMTS-5 (P>0.05). Gene expression levels for ADAMTS-4 and -5 seemed to be up-regulated in subjects diagnosed with periodontitis, but the results were not statistically significant (P>0.05). A positive correlation was observed between PPD and ADAMTS-4 mRNA in SIII-GC (p=0.035) and SIII-GB (p=0.015). A positive correlation was determined between ADAMTS-4 mRNA and ADAMTS-5 mRNA in SIII-GC (p=0.037) and SIII-GB (p=0.00).Conclusion:ADAMTS expression may take part in both pathological and physiological processes in the periodontal tissues, and periodontal destruction may be the result of a complex interaction of several pathways with many participants, such as ADAMTS-4 and -5, thus facilitating the exaggeration of periodontal disease.
Clinical Impact of Co-medication of Levetiracetam and Clobazam with Proton Pump Inhibitors: A Drug Interaction Study
Authors: Pasupuleti Bhuvanachandra , Gone Vamshikrishna , Baddam Ravali , Venisetty Raj Kumar , Prasad Om Prakash 
Published: February 2020

Background:
Clobazam (CLBZ) metabolized primarily by Cytochrome P-450 isoenzyme CYP3A4 than
with CYP2C19, Whereas Levetiracetam (LEV) is metabolized by hydrolysis of the acetamide group. Few CYP enzymes
are inhibited by Proton Pump Inhibitors (PPIs) Pantoprazole, Esomeprazole, and Rabeprazole in different
extents that could affect drug concentrations in blood. The aim of the present study was to evaluate the effect of these
PPIs on the plasma concentrations of LEV and CLBZ.

Methods:
Blood samples from 542 patients were included out of which 343 were male and 199 were female patients
and were categorized as control and test. Plasma samples analyzed using an HPLC-UV method. Plasma concentrations
were measured and compared to those treated and those not treated with PPIs. One way ANOVA and games
Howell post hoc test used by SPSS 20 software.

Results:
CLBZ concentrations were significantly 10 folds higher in patients treated with Pantoprazole (P=0.000) and
07 folds higher in patients treated with Esmoprazole and Rabeprazole (P=0.00). Whereas plasma concentration of
LEV control group has no statistical and significant difference when compared to pantoprazole (P=0.546) and with
rabeprazole and esomeprazole was P=0.999.

Conclusion:
The effect of comedication with PPIs on the plasma concentration of clobazam is more pronounced for
pantoprazole to a greater extent when compared to esomeprazole and rabeprazole. When pantoprazole is used in
combination with clobazam, dose reduction of clobazam should be considered, or significance of PPIs is seen to
avoid adverse effects.
Nanobulges: A Duplex Nanosystem for Multidimensional Applications
Authors: Shende Pravin , Mondal Adrita 
Published: February 2020

Background:Nanoparticulate systems like nanospheres, nanocrystals, and nanofluids show immense advancement in the fields of nanoelectronic and agriculture. Nanobulges are duplexed nanoparticles comprising the interaction of two nanoparticles for the formation of a curved bulge on the surface of the nanoparticle.Objective:This review focuses on properties, mechanism of action, methods of preparation and applications of nanobulges in optoelectronic devices and controlled release of fertilizers.Methods:Mostly pulsed laser deposition and multilayered palladium-catalysts fabrication with nanobulges structure are used to prepare nanobulges.Results:Nanobulges are advantageous over the conventional nanoparticles due to their high electrical density, improved catalytic drug loading and good electronic conductivity.Conclusion:In the near future, nanobulges will emerge as a promising material for commercial preparation of bioanalytical sensors and microfluidic systems.
EFFECT OF INOCULANT AND RAMIE COMPOST ON EFFICIENCY DEGRADATION HIDROCARBON, POPULATION TOTAL FUNGI AND RAMIE
Authors: Yuhanidz Yuhanidz , Suryatmana Pudjawati , Fitriatin Betty Natalie 
Published: February 2020

This study was aimed at determining the effect of ramie, ramie compost and types of inoculants on the efficiency of hydrocarbon degradation, total fungi population, and ramie height. The study was conducted using factorial RAK with 2 factors. The calculation of the total population of Aspergillus niger was done using the total plate count (TPC) method, while the measurement of total petroleum hydrocarbons (TPH) levels used the gravimetric method. The experiment was conducted at the Greenhouse of the Faculty of Agriculture, Padjadjaran University, Jatinangor, West Java with an altitude of 822 meters above sea level. Soil analysis was carried out at the Soil Fertility and Plant Nutrition Laboratory and the Soil Biology Laboratory, Faculty of Agriculture, Padjadjaran University. The experiment was conducted from November 2017 to February 2018. The results of the study do not show an interaction between inoculants and ramie compost on the efficiency of degradation, total fungi population and ramie height in the phytoremediation process of petroleum waste. The results also showed that there was no best type of inoculant and ramie compost dose for degradation efficiency, total fungi population and ramie height in phytoremediation of petroleum waste.PENGARUH INOKULAN DAN KOMPOS RAMI TERHADAP EFISIENSI DEGRADASI HIDROKARBON, POPULASI TOTAL FUNGI DAN TINGGI RAMI Penelitian ini bertujuan untuk mengetahui pengaruh rami, kompos rami, dan jenis inokulan terhadap efisiensi degradasi hidrokarbon, populasi total fungi dan tinggi tanaman rami. Penelitian dilakukan dengan menggunakan RAK faktorial dengan 2 Faktor. Perhitungan populasi total Aspergillus niger dilakukan dengan menggunakan metode total plate count (TPC), sedangkan pengukuran kadar total petroleum hydrocarbons (TPH) menggunakan metode gravimetri. Percobaan dilaksanakan di Rumah Kaca Fakultas Pertanian Universitas Padjadjaran Jatinangor, Kabupaten Sumedang, Provinsi Jawa Barat dengan ketinggian 822 mdpl. Analisis tanah dilakukan di Laboratorium Kesuburan Tanah dan Nutrisi Tanaman dan Laboratorium Biologi Tanah Fakultas Pertanian Universitas Padjadjaran. Percobaan dilaksanakan dari bulan November 2017 sampai dengan bulan Februari 2018. Hasil penelitian tidak menunjukkan adanya interaksi antara inokulan dan kompos rami terhadap efisiensi degradasi, populasi total fungi dan tinggi tanaman rami pada proses fitoremediasi limbah minyak bumi, serta tidak diperoleh jenis inokulan dan dosis kompos rami terbaik terhadap efisiensi degradasi, populasi total fungi, dan tinggi tanaman rami pada fitoremediasi limbah minyak bumi.
Feasibility of a Mobile Health Tool for Mothers to Identify Neonatal Illness in Rural Uganda: Acceptability Study
Authors: Matin Shababa B , Wallingford Allison , Xu Shicheng , Ng Natalie , Ho Anthony , Vanosdoll Madison , Waiswa Peter , Labrique Alain B , Acharya Soumyadipta 
Published: February 2020

Background
A shortage of community health workers to triage sick neonates and poor recognition of neonatal illness by mothers contribute significantly toward neonatal deaths in low- and middle-income countries. Providing low-resource communities with the tools and knowledge to recognize signs of neonatal distress can lead to early care-seeking behavior. To empower and educate mothers to recognize signs of neonatal illness, we developed a neonatal health assessment device consisting of a smartphone app and a wearable sensor (the NeMo system).

Objective
The aim of this study was to determine if mothers in rural Uganda were willing and able to use the NeMo system during the first week of their infant’s life. We also assessed mothers’ responses to the device’s recommendation to seek care.

Methods
A total of 20 mothers were enrolled in the study after giving birth in the Iganga District Hospital. Each mother was trained to use the NeMo system to assess her infant for signs of illness before leaving the hospital and was given the NeMo system to use at home for 1 week. Throughout the week, the smartphone tracked the mothers’ usage of NeMo, and the study team visited twice to observe mothers’ ability to use NeMo. Each mother was interviewed at the end of 1 week to gather qualitative feedback on her experience with the NeMo system.

Results
In total, 18 mothers completed the study; 2 mothers were withdrawn during the week because of extenuating health circumstances. Moreover, 1 day after enrollment and training, 75% (15/20) of mothers used NeMo properly with no mistakes. 3 days after enrollment and training, only 1 mother placed the wearable sensor improperly on her infant. On the final study day, only 1 mother connected the device improperly. Mothers used NeMo an average of 11.67 (SD 5.70) times on their own at home during the 5 full study days. Although the frequency of use per day decreased from day 1 to day 5 of the study (P=.04), 72% (13/18) of mothers used NeMo at least once per day. In total, 64% (9/14) of mothers who received an alert from the NeMo system to seek care for their infants either called the health care professional working with the study team or reused the system immediately and found no danger signs. All 18 mothers agreed or strongly agreed that the NeMo system was easy to use and helped them know when to seek care for their babies.

Conclusions
NeMo is a feasible and acceptable tool to aid mothers in rural Uganda to assess their infant’s health.
Pengaruh good governance dan standar akuntansi pemerintahan terhadap akuntabilitas keuangan dengan komitmen organisasi sebagai pemoderasi
Authors: Zeyn Elvira 
Published: February 2020

The purpose of this study are to analyze; the influence of implementation good governance, implementation accounting standards of government and the influence of financial account- ability with organization commitment as moderating variables. The research samples are se- lected by using purposive method. The research method used were desciptive and verificative, and analysis method used the multiple regression, multiple correlation and determination method. The results of study show that implementation good governance with organization commitment have significant influence financial accountability; implementation accounting standards of government with organization commitment have significant influence financial accountability; implementation good governance and accounting standards of government with organization commitment have significant influence financial accountability. Keywords: Good Governance, Standar accounting standards of government, Financial Ac- countability, Transparency, Organization Commitment.
Analisis praktik pengungkapan informasi intellectual capital dalam laporan tahunan perusahaan telekomunikasi di Indonesia
Authors: Ulum MD. Ihyaul 
Published: February 2020

The aim of this study is to describe the intellectual capital disclosure practices by Indonesian telecommunication industry. Content analysis was used to analyze the annual report for two years, 2007 and 2008. This research used Guthrie and Petty’s scheme of intellectual capital components. In this scheme, IC was categorized to 3 groups; internal structures (organizational capital: 11th items); external structures (customer/relational capital: 9th items); and employee competence (human capital: 8th items). The result shows that percentage of IC disclosure by Indonesian telecommunication industry was high relatively, compare with the other overseas results. In 2007, there was some at- tributes that not disclosed yet by company, it was ’patent’, ’copyright’, dan ’trademark’. But in 2008, all of IC attributes were disclosed by companies, even not of all companies. There was no company that discloses all of 28th component of IC at their annual report. The maximum number of attribute that disclosed by company was 24. Keywords: intellectual capital disclosure, telecommunication industry, content analysis
Perbedaan cash holding pada perusahaan Dengan leverage tinggi dan rendah
Authors: Wijaya Anggita Langgeng 
Published: February 2020

This research tests the difference of cash holdings based on high and low corporate leverage for a sample of manufacturing company enlisted in Indonesian Stock Exchange over the pe- riod 2005-2007. Population of this research is all of manufacturing company at Indonesian Stock Exchange. Sampling methods use purposive sampling method. Hypothesis test use Mann- Whitney analysis. The results show that there are significance difference of cash holding among high leverage and low leverage firm. Firm with high leverage hold lower level of corpo- rate cash holdings. Keyword: cash holding, dummy, leverage.