nils-herrmann/clean_scirepeval huggingface dataset:
Genome wide motif predictions of BCARR box in the amino acid repressed genes of Lactobacillus helveticus CM4
Venue: BMC Microbiology
Year: 2017

BackgroundA BCARR (branched chain amino acid responsive repressor) identified in proteolytic gene expressions in Lactobacillus helveticus is considered to negatively control transcriptions by binding to operator sites at the promoter regions in the presence of BCAAs. However, the distributions and regulatory potential of the BCARR in all genes repressed by BCAAs in CM4 remains unclear. genome wide search for the BCARR box was conducted to clarify the contribution of BCARR in the regulation of amino acid metabolism in L. helveticus CM4. Among all 2174 genes of CM4, 390 genes repressed by amino acids were selected for the search of the BCARR box. The annotated 33 genes among the 67 predicted BCARR boxes were mainly linked to amino acid metabolism. The BCARR boxes were mainly located adjacent to the 35 sequence of the promoter; however, the repressive effects in different locations were similar. Notably, the consensus BCARR box motif, 5' A1A2A3A4A5W6N7N8N9W10T11T12W13T14T15 3' observed in highly repressed genes, revealed more frequent A T base pairing and a lower free energy than that in lowly repressed genes. A MEME analysis also supported the lower frequency of T at positions 12, 14, 13 and 15 in the BCARR box sequence of the lowly repressed gene group. These results reveal that genes with a more stable palindromic structure might be preferable targets for BCARR binding and result in higher repressions in the target gene expressions.ConclusionsOur genome wide search revealed the involvement of the proteolytic system, transporter system and some transcriptional regulator systems in BCARR box regulation in L. helveticus CM4.
Fast Transient Radiation Hardened Low Dropout Voltage Regulator for Space Applications
Venue: IEEE Transactions on Nuclear Science
Year: 2021

This article presents a fast transient radiation hardened low dropout (LDO) voltage regulator integrated in a standard 0.6 <inline formula> <tex math notation="LaTeX"\mu \text {m} /tex math>/inline formula> BiCMOS technology for space and other harsh radiation environment applications. The fabricated LDO consumes 150 <inline formula> <tex math notation="LaTeX"\mu \text {A} /tex math>/inline formula> quiescent current at 6 A maximum output current. An LDO voltage of 300 mV which corresponds to an ultralow <inline formula> <tex math notation="LaTeX"$R_{\text {DS}\text {ON} /tex math>/inline formula> resistance of 50 <inline formula> <tex math notation="LaTeX"\text{m}\Omega /tex math>/inline formula> is realized by accurate modeling. A separate fast transient response circuit under narrow bandwidth condition is proposed to improve the output voltage transient speed. It operates from an input voltage range of 2.8 5.5 V and provides an output voltage of 2.5 V, with output voltage accuracy of 2% The proposed LDO achieves a successful line regulation of 1 mV/V, and a load regulation of 2.16 mV/A. Effective radiation hardened layout techniques are applied to realize high area efficient LDO chip, whose total area including pads is 5.35 mm<sup>2</sup> which represents only about one third area of similar radiation hardened products. Furthermore, a special set of total ionizing dose (TID) experiments and single event latch up (SEL) experiments were performed. The measurement results show that the LDO can tolerate up to a TID of 150 krad (Si) and SEL immunity at a linear energy transfer (LET) of 99.8 MeV/(mg/cm<sup>2</sup> with proposed layout design.
Remote Control of the Surface Movement of an Object Using a Two Channel SHF Autodyne Generator
Venue: Journal of Communications Technology and Electronics
Year: 2019

In this paper, we describe a method for restoring reflector motion using a radio wave signal from a super high frequency (SHF) autodyne generator based on a Gunn diode. The proposed method consists in sequential emission and reception of an electromagnetic SHF signal reflected from an object using two channels that differ in electrical length providing the p/2 phase shift of interference signals. With this method, there is no ambiguity in determining the amplitude of reflector movement and no need to determine the initial phase of the detected signal.
Recommended for you: The Netflix Prize and the production of algorithmic culture
Venue: New Media Soc.
Year: 2016

How does algorithmic information processing affect the meaning of the word culture, and, by extension, cultural practice? We address this question by focusing on the Netflix Prize (2006 2009) a contest offering US$1m to the first individual or team to boost the accuracy of the company's existing movie recommendation system by 10% Although billed as a technical challenge intended for engineers, we argue that the Netflix Prize was equally an effort to reinterpret the meaning of culture in ways that overlapped with, but also diverged in important respects from, the three dominant senses of the term assayed by Raymond Williams. Thus, this essay explores the conceptual and semantic work required to render algorithmic information processing systems legible as forms of cultural decision making. It also then represents an effort to add depth and dimension to the concept of "algorithmic culture."
The Role of Aberrations in the Immune Inflammatory Response System (IRS) and the Compensatory Immune Regulatory Reflex System (CIRS) in Different Phenotypes of Schizophrenia: the IRS CIRS Theory of Schizophrenia
Venue: Molecular Neurobiology
Year: 2019

Several lines of evidence indicate that aberrations in immune inflammatory pathways may contribute to the pathophysiology of schizophrenia spectrum disorders. Here, we propose a novel theoretical framework that was previously developed for major depression and bipolar disorder, namely, the compensatory immune regulatory reflex system (CIRS) as applied to the neuro immune pathophysiology of schizophrenia and its phenotypes, including first episode psychosis (FEP) acute relapses, chronic and treatment resistant schizophrenia (TRS) comorbid depression, and deficit schizophrenia. These schizophrenia phenotypes and manifestations are accompanied by increased production of positive acute phase proteins, including haptoglobin and a2 macroglobulin, complement factors, and macrophagic M1 (IL 1b, IL 6, and TNF a) T helper (Th) 1 (interferon g and IL 2R) Th 2 (IL 4, IL 5) Th 17 (IL 17) and T regulatory (Treg; IL 10 and transforming growth factor (TGF) b1) cytokines, cytokine induced activation of the tryptophan catabolite (TRYCAT) pathway, and chemokines, including CCL 11 (eotaxin) CCL 2, CCL 3, and CXCL 8. While the immune profiles in the different schizophrenia phenotypes indicate the activation of the immune inflammatory response system (IRS) there are simultaneous signs of CIRS activation, including increased levels of the IL 1 receptor antagonist (sIL 1RA) sIL 2R and tumor necrosis factor a receptors, Th 2 and Treg phenotypes with increased IL 4 and IL 10 production, and increased levels of TRYCATs and haptoglobin, a2 macroglobulin, and other acute phase reactants, which have immune regulatory and anti inflammatory effects. Signs of activated IRS and CIRS pathways are also detected in TRS, chronic, and deficit schizophrenia, indicating that these conditions are accompanied by a new homeostatic setpoint between upregulated IRS and CIRS components. In FEP, increased baseline CIRS activity is a protective factor that may predict favorable clinical outcomes. Moreover, impairments in the CIRS are associated with deficit schizophrenia and greater impairments in semantic and episodic memory. It is concluded that CIRS plays a key role in the pathophysiology of schizophrenia by negatively regulating the primary IRS and contributing to recovery from the acute phase of illness. Therefore, components of the CIRS may offer promising therapeutic targets for schizophrenia.
The socioeconomic and policy drivers of China's regional energy consumption: a study of Sichuan Province
Venue: Clean Technologies and Environmental Policy
Year: 2020

To facilitate a better understanding of China's regional energy consumption, this study develops a coupled framework to analyze the socioeconomic and policy drivers of the evolution of Sichuan province's energy consumption. The results show that during 2002 2016, GDP per capita was the most significant driver of energy consumption, accounting for 185.16% of the total change, followed by economic structure (4.02% Energy intensity has been at the center of Sichuan's energy policies and the only factor exerting downward pressure on energy consumption, accounting for 91.72% of the total change, although the reducing effect was not stable through the years. By contrast, although the government has continuously stressed economic restructuring for energy conservation, the relevant policies have been largely ineffective. Except for major social emergencies, such as the Wenchuan earthquake, the basic energy strategy has been focused on reducing coal consumption, stabilizing the petroleum supply and encouraging the development and use of natural gas. In addition, the key indicators of energy consumption control basically showed cyclical trends with respect to the provincial 4 year plan (FYP) i.e. increasing (or decreasing slowly) in the first 3 4 years of a FYP and then decreasing (or decreasing more rapidly) during the last 1 2 years. Therefore, this study suggests the building of a FYP centered energy policy system to integrate the various policies issued by different departments and the introduction of more market oriented approaches for energy conservation to curb deficiencies in the administration driven economic restructuring.
Producer Responsibility and Recycling Solar Photovoltaic Modules
Year: 2010

Rapid expansion of the solar photovoltaic (PV) industry is quickly causing solar to play a growing importance in the energy mix of the world. Over the full life cycle, although to a smaller degree than traditional energy sources, PV also creates solid waste. This paper examines the potential need for PV recycling policies by analyzing existing recycling protocols for the five major types of commercialized PV materials. The amount of recoverable semiconductor material and glass in a 1 m2 area solar module for the five types of cells is quantified both physically and the profit potential of recycling is determined. The cost of landfill disposal of the whole solar module, including the glass and semiconductor was also determined for each type of solar module. It was found that the economic motivation to recycle most PV modules is unfavorable without appropriate policies. Results are discussed on the need to regulate for appropriate energy and environmental policy in the PV manufacturing industry particularly for PV containing hazardous materials. The results demonstrate the need to encourage producer responsibility not only in the PV manufacturing sector, but also the entire energy industry.
An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation
Venue: Secur. Commun. Networks
Year: 2018

Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mobile platform through identity theft or credit card stealing to obtain money fraudulently. Financial fraud under IoT environment is the fast growing issue through the emergence of smartphone and online transition services. In the real world, a highly accurate process of financial fraud detection under IoT environment is needed since financial fraud causes financial loss. Therefore, we have surveyed financial fraud methods using machine learning and deep learning methodology, mainly from 2016 to 2018, and proposed a process for accurate fraud detection based on the advantages and limitations of each research. Moreover, our approach proposed the overall process of detecting financial fraud based on machine learning and compared with artificial neural networks approach to detect fraud and process large amounts of financial data. To detect financial fraud and process large amounts of financial data, our proposed process includes feature selection, sampling, and applying supervised and unsupervised algorithms. The final model was validated by the actual financial transaction data occurring in Korea, 2015.
An Online Algorithm for Constrained Face Clustering in Videos
Venue: 2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018

We address the problem of face clustering in long, real world videos. This is a challenging task because faces in such videos exhibit wide variability in scale, pose, illumination, expressions, and may also be partially occluded. The majority of the existing face clustering algorithms are offline, i.e. they assume the availability of the entire data at once. However, in many practical scenarios, complete data may not be available at the same time or may be too large to process or may exhibit significant variation in the data distribution over time. We propose an online clustering algorithm that processes data sequentially in short segments of variable length. The faces detected in each segment are either assigned to an existing cluster or are used to create a new one. Our algorithm uses several spatiotemporal constraints, and a convolutional neural network (CNN) to obtain a robust representation of the faces in order to achieve high clustering accuracy on two benchmark video databases (82.1 and 93.8% Despite being an online method (usually known to have lower accuracy) our algorithm achieves comparable or better results than state of the art offline and online methods.
Multi label Prediction in Time Series Data using Deep Neural Networks
Venue: ArXiv
Year: 2020

This paper addresses a multi label predictive fault classification problem for multidimensional time series data. While fault (event) detection problems have been thoroughly studied in literature, most of the state of the art techniques can't reliably predict faults (events) over a desired future horizon. In the most general setting of these types of problems, one or more samples of data across multiple time series can be assigned several concurrent fault labels from a finite, known set and the task is to predict the possibility of fault occurrence over a desired time horizon. This type of problem is usually accompanied by strong class imbalances where some classes are represented by only a few samples. Importantly, in many applications of the problem such as fault prediction and predictive maintenance, it is exactly these rare classes that are of most interest. To address the problem, this paper proposes a general approach that utilizes a multi label recurrent neural network with a new cost function that accentuates learning in the imbalanced classes. The proposed algorithm is tested on two public benchmark datasets: an industrial plant dataset from the PHM Society Data Challenge, and a human activity recognition dataset. The results are compared with state of the art techniques for time series classification and evaluation is performed using the F1 score, precision and recall.
Commercialised occupation skills: Israeli security experience as an international brand
Year: 2017

ISRAELI SECURITY PERSONNEL, technology, and ideas are immensely popular in places around the world that are perceived or marked as insecure. The fact that an idea, strategy, person, or technology comes from this small country in the Middle East seems to be enough for people and states to blindly believe its effectiveness. At the heart of this conviction is the Israeli experience in conflict, urban warfare, and dealing with terrorism. As an American journalist wrote: 'everybody's favourite soldier of fortune is an Israeli with military experience' (Johnson 2010: n.p. To illustrate this phenomenon, I will start with an example. A security company owned by an Israeli in the United States (US) was asked to set up security checkpoints in New Orleans after hurricane Katrina struck in 2005. The location where they performed this task was Audubon Place, which is a private, rich enclave. When hurricane Katrina hit, the inhabitants were afraid that criminals roaming the city's streets would rob their homes and they decided to hire this private security company (PSC) the operatives of which (Israeli ex combatants) were helicoptered into Audubon Place by the American private military firm Blackwater, dressed in bulletproof vests and carrying M 16 automatic rifles. Interestingly, the inhabitants had specifically asked for Israeli security personnel. The operatives manned the gates of the enclave and made sure that no one entered. When interviewed by a journalist the Israeli ex combatants said they had 'been fighting the Palestinians all day, every day, our whole lives' emphasising that the mere look of their gun would scare away criminals, making this job a piece of cake in comparison (Scahill 2005: n.p. The Israeli founder of the company furthermore stated that [his] people were highly trained to operate in hostile environments. That fit well with the demand of the situation in New Orleans' (Hutchinson and Masson 2007: n.p. clearly making reference to their background in the Israeli Defence Forces (IDF)
Concerted steric and electronic effects on a diimine nickel and palladium catalyzed ethylene polymerization and copolymerization
Year: 2020

For transition metal based olefin polymerization catalysts, ligand steric and electronic effects can strongly influence important catalytic properties. However, the simultaneous tuning of both steric and electronic effects has not been explored in most of the previous studies. In this contribution, a strategy to tune the ligand electronic and steric effects in a concerted fashion is reported. In such a system, both dibenzhydryl groups and multiple methoxy/fluoro groups were installed in a diimine ligands. In addition to strongly influencing ligand electronics, the methoxy/fluoro groups can interact with the dibenzhydryl groups and efficiently increase ligand sterics. In ethylene polymerization, this concurrent tuning of electronic and steric effects can lead to simultaneous enhancement of several parameters (activity, stability, polymer molecular weight, melting point, branching density) for both the nickel and palladium catalysts. The effectiveness of this strategy is highly attractive for future studies in other catalytic systems.
Effects of dietary supplementation of microencapsulated Enterococcus fecalis and the extract of Camellia oleifera seed on laying performance, egg quality, serum biochemical parameters, and cecal microflora diversity in laying hens.
Venue: Poultry science
Year: 2019

The aim of this study was to investigate the effects of microencapsulted Enterococcus faecalis (MEF) and the extract of Camellia oleifera seed (ECOS) on laying performance, serum biochemical parameters, and cecal microflora diversity in laying hens. A total of 180 Hy Line Brown laying hens, 26 wk old, were randomly allocated to 6 treatments with 10 replicates and 3 hens per replicate. Dietary treatments were as follows: (A) control group, basal diet; (B) basal diet 100 mg MEF/kg diet (1 x 1010 cfu/g MEF) (C) basal diet 300 mg ECOS/kg diet; (D) basal diet 100 mg MEF/kg diet 300 mg ECOS/kg diet; (E) basal diet 500 mg ECOS/kg diet; (F) basal diet 100 mg MEF/kg diet 500 mg ECOS/kg diet. The results showed that diets supplemented with MEF and ECOS had no significant effects on laying rate, average egg size, average daily feed intake, feed conversion ratio, eggshell thickness, albumen height, and yolk color (P 0.05) but had significant effects on egg shape index, eggshell strength, and Haugh unit (P 0.05) during whole feeding phases. Compared to the control group, the serum IgA and IgG levels of birds in Group F significantly increased (P 0.05) The serum total cholesterol, low density lipoprotein cholesterol, total triglyceride, and blood urea nitrogen levels of birds in Group D and Group F significantly reduced (P 0.05) and the high density lipoprotein cholesterol level of birds in Group D and Group F significantly increased (P 0.05) At the phylum level, Firmicutes decreased (P 0.05) and Bacteroidetes increased (P 0.05) in the birds of Group D. Ruminococcus and Bacteroides were significantly affected by dietary treatments (P 0.05) and Bacteroides in the birds of Group D significantly increased at the genus level. Therefore, diet supplemented with MEF and ECOS can significantly improve serum biochemical parameters and increase cecal microflora diversity.
A JOURNEY OF AFRICA THOROUGH THE HEART OF DARKNESS BY JOSEPH CONRAD AS AN OUTSIDER AND THINGS FALL APART BY CHINUA ACHEBE AS AN INSIDER
Year: 2020

The depiction of Africa has been an issue since long as the western mindset represented it as a land of hunger, starvation and malnutrition whereas, Africa for the Africans is a land of mystery that can be well explored through deconstructing its myths and stereotypes. The two major classic novel The Heart of Darkness by Joseph Conrad and Things Fall Apart by Chinua Achebe gained immense ground to be read and analyzed together as they depict the two contrasting images of Africa. Both of these novels are modelled upon its authors individual observation and understanding of Africa as a land of mystery with a unique guideline of civilization with a very complex belief system much akin to natural phenomenon rather than being humanly polished with the tincture of artificiality, selfishness and gluttony. To both these novelist, this land remains unconquered The Heart of Darkness is projected under the skin of a defeated idealism by the outsider novelist whereas Things Fall Apart upholds the picture of purity and innocence by the insider novelist whose inheritance is deeply rooted in Africa. So these two novels run on two parallel lines as complimentary texts to be read together in order to understand the incongruities lies beneath the individual perception of both the authors. In this paper an attempt has been made to critically analyze the two opposing projection of Africa in both the novels with the prospect of Conrad as an outsider and Achebe an insider. The Heart of Darkness leaves Conrad in his own territory as a retired captain on board with all calmness whereas Things Fall Apart leaves Chinua Achebe with his symbolic death of Okwonko, that symbolize the death of a culture.
Asymmetrical river valleys and their tectonic significance in the Maxianshan area, NE Tibetan Plateau
Venue: Geomorphology
Year: 2019

The geometry of river networks is particularly sensitive to active tectonic deformation. Morphotectonic analyses conducted using geomorphic indices and numerical models are useful methods with which to identify such deformation. The northeastern (NE) margin of the Tibetan Plateau is characterized by active tectonics, easily erodible bedrock and well developed valleys, and is thus an ideal region for studying the effects of tectonics on the landscape evolution. Here we firstly identify the systemic asymmetrical valleys in the Maxianshan area, NE Tibetan Plateau. To quantitatively analyze the asymmetrical characteristics of these valleys identified in the southern Maxianshan, 33 parallel streams were investigated by using two drainage basin analytical techniques, namely, the transverse topographic symmetry factor (T) and asymmetry factor (AF) Our results show that the mean T value is 0.14 (magnitude) and 319.08deg (direction) and the majority of the AF results are