nils-herrmann/clean_scirepeval huggingface dataset:
Machine learning in oil and gas; a SWOT analysis approach
Venue: Journal of Petroleum Science and Engineering
Year: 2019

Digitalization of workflows using machine learning and advanced analytics is the new go to strategy to add business value in the oil and gas industry. Enterprises strive to embrace these new technologies; but struggle to put their models in production, deliver tangible results and obtain favorable returns on investment. This paper reviews some of the recent developments and practices in this area and offers a SWOT analysis for strategic management and technology enablement. It is concluded that to reap the full benefits of ML in mission critical tasks, oil and gas industry must leverage the latest technology developments, have a consistent strategic focus and build agile and collaborative teams of data scientists and domain experts.
A core firework updating information guided dynamic fireworks algorithm for global optimization
Venue: Soft Comput.
Year: 2020

As a new variant of swarm intelligence algorithm, fireworks algorithm (FWA) exhibits promising performance on a wide set of optimization problems, for which the fireworks algorithm has been concentrated on and investigated by researchers recently. This paper aims to improve the performance of the FWA by exploiting updating information of the core firework to guide the algorithm's searching process. Based on this mentality, this paper ameliorated the explosion strategy of core firework of dynamic fireworks algorithm (dynFWA) The proposed algorithm, named dynPgFWA in this paper, improved FWA from two aspects: amplifying the explosion amplitude on the direction on which core firework is updated, and making more sparks which are generated by core firework distributed on this direction to enhance the algorithm's searching ability on updating direction. A numerical experiment on CEC2015 and CEC2017 test suite was implemented to verify the performance of the proposed algorithm. Results of the experiment indicated that dynPgFWA outperformed the compared evolutionary algorithms in the quality of solutions.
Graphene controlled Brewster angle device for ultra broadband terahertz modulation
Venue: Nature Communications
Year: 2018

Terahertz modulators with high tunability of both intensity and phase are essential for effective control of electromagnetic properties. Due to the underlying physics behind existing approaches there is still a lack of broadband devices able to achieve deep modulation. Here, we demonstrate the effect of tunable Brewster angle controlled by graphene, and develop a highly tunable solid state graphene/quartz modulator based on this mechanism. The Brewster angle of the device can be tuned by varying the conductivity of the graphene through an electrical gate. In this way, we achieve near perfect intensity modulation with spectrally flat modulation depth of 99.3 to 99.9 percent and phase tunability of up to 140 degree in the frequency range from 0.5 to 1.6 THz. Different from using electromagnetic resonance effects (for example, metamaterials) this principle ensures that our device can operate in ultra broadband. Thus it is an effective principle for terahertz modulation.Low dimensional materials show promise for applications in imaging, spectroscopy and ultra broadband communications. Here, the authors report an effect of Brewster angle control at graphene quartz interface for applications in terahertz modulation over a broadband range from 0.5 to 1.6 THz.
Optimal Care for Patients with Anaplastic Lymphoma Kinase (ALK) Positive Non Small Cell Lung Cancer: A Review on the Role and Utility of ALK Inhibitors
Venue: Cancer management and research
Year: 2020

The treatment of advanced non small cell lung cancer (NSCLC) has undergone a paradigm shift in the last decade. Molecular characterization of the disease has led to the rapid development of personalized medicine and swift delivery of targeted therapies to patients. The discovery of the anaplastic lymphoma kinase (ALK) gene in patients with NSCLC has resulted in rapid bench bedside transition of several active drugs, with several others currently in clinical trials. After the first generation ALK inhibitor crizotinib, next generation ALK inhibitors have entered clinical applications for ALK rearranged NSCLC. Ceritinib, alectinib, and brigatinib have all received approval for ALK positive patients who have failed prior crizotinib, as well as first line therapy in treatment naive patients based on favorable efficacy. Most recently, lorlatinib, a potent, newer generation ALK inhibitor, has been approved as second or third line treatment. These advances have led to better patient outcomes, but concurrently have led to several crucial unanswered questions about optimal care for ALK positive NSCLC patients. The ultimate acquisition of resistance to ALK inhibitor therapy poses a challenge to ongoing research efforts, in addition to the routine management of these patients in the clinic. This review provides a summary of the clinical development of crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib and highlights current management paradigms, current and evolving clinical information, emerging clinical decision making and sequencing of therapy in advanced, metastatic, or recurrent ALK positive NSCLC.
Social capital, neighbourhood characteristics and utilisation of local public health services among domestic migrants in China: a cross sectional study
Venue: BMJ Open
Year: 2017

We examined the association between structural social capital and public health services use, and explored the modifiable effect of neighbourhood factors on this association among domestic migrants in China.  Data were from a 2014 nationally representative cross sectional sample of domestic migrants aged 15 59 years in China. Survey weighted logistic regression models were applied to assess the association between structural social capital, measured by participation in social organisations and social activities, and use of public health services. Interaction terms between neighbourhood urban status, neighbourhood composition and social capital were further assessed in the models.  Migrants who participated in social organisations were more likely to establish health records (OR 1.467, 95% CI 1.201 to 1.793) and receive health education information (OR 1.729, 95% CI 1.484 to 2.016) than those who did not. Participation in social activities was positively associated with establishing health records only in urban communities (OR 1.853, 95% CI 1.060 to 3.239) and it was positively linked to receiving health education information among those living with a higher percentage of local neighbours (OR 1.451, 95% CI 1.044 to 2.017)  Structural social capital was related to an increased utilisation of local public health services among migrants. The findings of this study provided new evidence for the differential influences of social capital by neighbourhood characteristics in China, which suggested the importance to enhance social capital in rural/suburban communities and communities where the majority of the residents were migrants.
Materialization of Behavioral Finance and Behavioral Portfolio Theory: A Brief Review
Year: 2012

This study introduces the emergence of behavioral finance (BF) and behavioral portfolio theory (BPT) BF research dives the conventional suppositions of projected value optimization with coherent investors in proficient enjoinments. There are two major component of BF which are "way of people's thinking" (cognitive approach) and "when markets will be incompetent" (arbitrage limits) Behavioral portfolio theory describes investor's behavior, how they divide their wealth into portfolio mental account's layers (MAL) parallel of their ambitions. The development of BF study has stimulated due to the incapability of conventional structure to explore several pragmatic models.
Diuretic Therapy for Patients With Heart Failure: JACC State of the Art Review.
Venue: Journal of the American College of Cardiology
Year: 2020

Expansion of extracellular fluid volume is central to the pathophysiology of heart failure. Increased extracellular fluid leads to elevated intracardiac filling pressures, resulting in a constellation of signs and symptoms of heart failure referred to as congestion. Loop diuretics are one of the cornerstones of treatments for heart failure, but in contrast to other therapies, robust clinical trial evidence to guide the use of diuretics is sparse. A nuanced understanding of renal physiology and diuretic pharmacokinetics is essential for skillful use of diuretics in the management of heart failure in both the inpatient and outpatient settings. Diuretic resistance, defined as an inadequate quantity of natriuresis despite an adequate diuretic regimen, is a major clinical challenge that generally portends a poor prognosis. In this review, the authors discuss the fundamental mechanisms and physiological principles that underlie the use of diuretic therapy and the available data on the optimal use of diuretics.
Boomerangs and Bombs: The Zagreb School of Animation and Yugoslavia's Third Way Experiment
Venue: Slavic Review
Year: 2020

The Zagreb School of Animation, one of the great achievements of Yugoslav culture, produced hundreds of films from the 1950s to the early 1990s. This paper studies the early development of the Zagreb School and the films that satirized the universal concerns of the post World War II landscape: industrialization, militarism, environmentalism, nuclear annihilation, and urban alienation, as well as the conforming pressures of commercialization and mass culture. This paper argues that the Zagreb School, which was made up neither of dissidents nor propagandists, breaks many of the stereotypes about artists in the dictatorial states of central and eastern Europe. Its approach to the animation medium is adjacent to the two most important features of Yugoslavia's Third Way experiment: the development of workers' self management and a commitment to internationalism. The paper places the Zagreb School in this historical context with a formalist analysis of Boris Kolar's Bumerang (Boomerang, 1962)
Optimization of growth conditions for Azotobacter species and their use as biofertilizer
Year: 2018

Biofertilizer is a large population of a specific or a group of beneficial microorganisms for enhancing the productivity of soil either by fixing the atmospheric nitrogen by solubilizing soil phosphorus or by stimulating plant growth through synthesis of growth promoting  Biofertilizer supply in addition to nitrogen considerable amount of organic matter enriching structure of soil. Inoculants of these microorganisms have proved their technical feasibility, economic viability and social acceptability. Biofertilizers are the most advanced biotechnology invention which is necessary to support developing organic agriculture, sustainable agriculture, green agriculture and non pollution agriculture. The biofertilizer can increase the output and improve the quality of agricultural products.2 Biofertilizers have definite advantage over chemical fertilizers. Chemical fertilizers supply only nitrogen whereas biofertilizers provide in addition to nitrogen certain growth promoting substances like hormones, vitamins, amino acids etc. to the plants.3 Crops have to be provided with chemical fertilizers repeatedly to replenish the loss of nitrogen utilized for crop growth. On the other hand biofertilizers supply nitrogen continuously throughout the entire period of crop growth in field under favorable conditions.4 Biofertilizers are formed by mixing of microorganisms with some carriers like lignite and peat moss in a certain amount. Some of the commonly used biofertilizers are Azotobacter biofertilizers, Phospho biofertilizers, Rhizo biofertilizers and Trichoderma biofertilizers. A large number of soil microorganisms are used as biofertilizer. Some of these are phosphate solubilizing microbes including Pseudomonas striata, Bacillus megaterium and Bacillus subtilis).5,6 Some fungi like Aspergillus and Penicillium are potential solubilizer of bound phosphates.7 Azotobacter is one of the most important microorganisms, which is widely used as biofertilizer (Pereira and Shetty, 1987) Azotobacter is Gram negative and polymorphic bacterium i.e. having different sizes and shapes. Their size ranges from 2 3 umin diameter and of various lengths. Azotobacter spp. are sensitive to acidic pHhigh salts and temperature above 35C.7
Research on the relationship between estrogen receptor polymorphisms and female postmeno pausal osteoporosis and the relevant factors in Wenzhou
Year: 2012

To probe the relationship between postmenopausal osteoporosis(PMOP)and the estrogen receptor a gene polymorphisms and other relevant factors. Two hundred and three postmenopausal women were randomly selected and devided into nomal control group,bone loss group and PMOP group.Lumbar BMD was measured,and genotypes were detected.Meanwhile,the dietary behavior and exercise of the women were also surveyed. Age,lower educational level.shorter height,lower weight,BMI,more pregnancies and childbirth were related with PMOP.Intake of more milk,soy milk,tea,sea food,beans or bean products,meet,eggs,fruit,nuts and more exercise monthly were associated with high BMD.The frequencies distribution of PvuII was PP:26.6%,pp:27.6% and Pp:45.8%,respectively,and the frequencies distribution of XbaI was XX:9.9%,xx:57.1% and Xx:33%,respectively.Logistic regression indicated that age,coffee and XbaI XX were the risk factors of bone loss,the high degree of culture,BMI,often drinking tea or intake of fruit were the protection factors of PMOP.Conclusion: The frequen cies distribution of ERa is different from other regions,and the relationship between BMD is not clear,the predictive value on PMOP remains to need further study.Close relationship between and dietary behavior and environmental factors is found in our rcescarch.
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
Venue: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2018

Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translation research. In recent years, deep learning methods have achieved significant success in CNER tasks. However, these methods depend greatly on Recurrent Neural Networks (RNNs) which maintain a vector of hidden activations that are propagated through time, thus causing too much time to train models. In this paper, we propose a Residual Dilated Convolutional Neural Network with Conditional Random Field (RD CNN CRF) to solve it. Specifically, Chinese characters and dictionary features are first projected into dense vector representations, then they are fed into the residual dilated convolutional neural network to capture contextual features. Finally, a conditional random field is employed to capture dependencies between neighboring tags. Computational results on the CCKS 2017 Task 2 benchmark dataset show that our proposed RD CNN CRF method competes favorably with state of the art RNN based methods both in terms of computational performance and training time.
Energy compensation based approach for solving the HJI equation in the nonlinear H synthesis
Year: 2016

The H framework provides an efficient and systemic method for the design of controllers for both linear and nonlinear systems. In the nonlinear controller synthesis, however, the limitation of this method is usually associated with the existence of a solution to the Hamilton Jacobi Isaac (HJI) equation. In this paper, an innovative energy compensation based approach to the solution of the HJI equations is presented and compared with the existing methods relying on Taylor series expansion. This new approach provides an efficient methodology that ensures the existence of a solution to the HJI equation. Numerical application to spacecraft attitude control is presented to validate the developments.
Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communication Systems With Imperfect Cascaded CSI
Venue: IEEE Transactions on Wireless Communications
Year: 2021

In this paper, we investigate the design of robust and secure transmission in intelligent reflecting surface (IRS) aided wireless communication systems. In particular, a multi antenna access point (AP) communicates with a single antenna legitimate receiver in the presence of multiple single antenna eavesdroppers, where the artificial noise (AN) is transmitted to enhance the security performance. Besides, we assume that the cascaded AP IRS user channels are imperfect due to the channel estimation error. To minimize the transmit power, the beamforming vector at the transmitter, the AN covariance matrix, and the IRS phase shifts are jointly optimized subject to the outage rate probability constraints under the statistical cascaded channel state information (CSI) error model. To handle the resulting non convex optimization problem, we first approximate the outage rate probability constraints by using the Bernstein type inequality. Then, we develop a suboptimal algorithm based on alternating optimization, the penalty based and semidefinite relaxation methods. Simulation results reveal that the proposed scheme significantly reduces the transmit power compared to other benchmark schemes.
Abrasive cytohistology of squamous epithelial lesions
Year: 2018

To describe a method to retrieve cellular and tissue elements of oral squamous epithelium obtained by abrasive methods and to conduct investigations by cytohistology.  We developed a special gelatine pocket suitable for paraffin embedding of sparse material obtained from brush biopsies (BBs) This was subjected to combined evaluation of a cytological (smear) and histological examination of the 'tissue sections' referred as cytohistology. Four diagnostic categories were applied for evaluation. Other special diagnostic methods were also applied in addition to recording dysplasia.  A total of 51, 755 BBs from suspicious lesions of the oral mucosa (mostly oral potentially malignant disorders OPMD) were evaluated for the presence of carcinoma or dysplasia; in all, 1.7% were positive, 78.2% were negative for any epithelial atypia, 16.8% atypical and 3.3% inadequate. All BBs also had cytohistological evaluation. A 'positive' diagnosis by cytohistology was a reliable indicator of dysplasia or carcinoma, requiring further incisional/excisional biopsy. In the 'atypical' category, a variety of lesions were found, about half being dysplasia or carcinoma. This category challenges the clinician for further clinical, therapeutic and/or excisional examination. In 'negative' cases with persistence of the lesion, a re examination in 1 year sequence is recommended.  Cytohistology of material derived by abrasive methods allows earlier detection of dysplasia/carcinoma. A number of additional oncological and non oncological findings make this method a valuable non invasive diagnostic procedure for oral mucosal lesions.
The experiences and attitudes of people affected by leprosy who voluntarily undertake leprosy services in Nepal.
Venue: Leprosy review
Year: 2014

This paper is a record of the outcome of a focus group discussion in which 22 leprosy affected self help group facilitators related their experiences and attitudes associated with leprosy services which they voluntarily undertake. Enthusiasm to undertake leprosy services was general. The principal rewards for participation in such activities appear to have been social ascendance and self esteem. Factors cited as being most likely to further motivate voluntary service reflected the perceived importance of personal reputation and the prestige of a clear association with Lalgadh Leprosy Services Centre.
PENGARUH PENGGUNAAN BIOCHAR DAN PUPUK KANDANGAYAM TERHADAP PERTUMBUHAN DAN KUALITAS PADA DUAVARIETAS JAGUNG MANIS (Zea mays)
Year: 2019

Penelitian bertujuan untuk mengetahui aplikasi biochar dan pupuk kandang dalam meningkatkan pertumbuhan dan kualitas dua varietas jagung manis. Rancangan percobaan yang digunakan adalah Rancangan Acak Kelompok (RAK) dengan rancangan perlakuan faktorial (4 x 2 dan diulang sebanyak 3 kali sehingga didapat 24 satuan percobaan. Faktor pertama yaitu varietas jagung manis (V) yang terdiri atas varietas Manis dan varietas SD3 IPB. Faktor kedua yaitu Biochar dan pupuk kandang ayam (P) dengan empat level yaitu kontrol, biochar dengan dosis 10 ton/ha, pupuk kandang ayam dengan dosis 10 ton/ha, dan biochar dengan dosis 10 ton/ha dan pupuk kandang ayam dengan dosis 10 ton/ha. Hasil penelitian menunjukkan bahwa: (1) Pemberian biochar tongkol jagung dan pupuk kandang ayam mampu meningkatkan pertumbuhan dan kualitas dua varietas jagung manis melalui variabel panjang daun 3 MST, lebar daun 3 MST, bobot 10 tongkol berkelobot, bobot 10 tongkol tanpa kelobot, panjang tongkol, bobot segar brangkasan 10 tanaman, 0 brix kemanisan jagung, bobot segar 1000 biji, bobot kering 1000 biji, dan produksi per petak. (2) Penggunaan varietas Manis dan varietas SD3 IPB menghasilkan pertumbuhan kualitas jagung manis yang berbeda melalui variabel panjang daun 3 MST, lebar daun 3 MST, bobot 10 tongkol berkelobot, bobot 10 tongkol tanpa kelobot, panjang tongkol, bobot segar brangkasan 10 tanaman, 0 brix kemanisan jagung, bobot segar biji 1000 butir, bobot kering biji 1000 butir, dan produksi per petak. (3) Respon pertumbuhan dan kualitas dua varietas jagung manis serta interaksinya menunjukkan hasil pertumbuhan dan produksi tanaman jagung manis pada varietas Manis sebesar 13,97 kg/petak dan pada varietas SD3 IPB sebesar 17,51 kg/petak. Kata kunci Biochar, Pupuk Kandang Ayam,
RENDIMIENTO Y CALIDAD ANTIOXIDANTE DEL CHILE HABANERO CON SUPLEMENTO DE LA NUTRICION POTASICA CON PRODUCTOS ORGANICOS
Year: 2013

El chile es uno de los vegetales mas antiguos y conocidos en la cocina mundial. Las plantas de la especies del genero Capsicum sintetizan una variedad de fitoquimicos con papeles valiosos en la salud humana y nutricion. Durante miles de anos, los humanos han seleccionado chiles en base al picor, color, sabor y contenido de vitaminas. Son muchos los beneficios potenciales para la salud como resultado de consumir chile habanero y sugieren que podria ser utilizado como sabor nuevo y valioso con propiedades funcionales de los productos alimenticios o nutraceuticos, sobre la base de su alto contenido de fitoquimicos y propiedades biologicas
Simplicity of partial skew group rings with applications to Leavitt path algebras and topological dynamics
Year: 2014

Let A be a commutative and associative ring (not necessarily unital) G a group and a a partial action of G on ideals of A, all of which have local units. We show that A is maximal commutative in the partial skew group ring A*G if and only if A has the ideal intersection property in A*G. From this we derive a criterion for simplicity of A*G in terms of maximal commutativity and G simplicity of A. We also provide two applications of our main results. First, we give a new proof of the simplicity criterion for Leavitt path algebras, as well as a new proof of the Cuntz Krieger uniqueness theorem. Secondly, we study topological dynamics arising from partial actions on clopen subsets of a compact set.