bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysing Movie Success Based on Machine Learning Algorithm
Authors: Shankhdhar Ashutosh , Agrawal Vinay , Rajpoot Vikram 
Published: April 2021

Abstract
The Film Industry is producing several hundreds of movies paving the way for the United States for third position in the list of giants of film Industry of the whole world [1]. The expenditure on these movies are of the ten to eleven figures or we can say thousands of millions of dollars, which ensure their box office success, is absolutely essential for the survival of the industry. Predicting what sort of movies are going to earn more and what type is going to come up short before the release, may profit the houses extraordinarily because it will also empower them to work on their promoting efforts which itself need numerous dollars, appropriately[2]. Furthermore, it would likewise assist them with knowing when it is generally suitable to deliver a film by taking a look at the general market. Along these lines, the examination of film achievement is critical to the business. ML (Machine Learning) algorithms [3] calculations broadly need to make expectations like development inside the stock trade, interest for items, nature of tumors, and so on.
A Study on Detection Of E-Coli Bacteria in Drinking Water using E-Nose System
Authors: Suriya Pa. , Naveenkumar K. , Sangeetha S P , Divahar R , Vijaykumar S. 
Published: April 2021

Abstract
E- nose system is mainly used to ensure the qualitative analysis of microbes accumulated in the water and air. It is an authoritative tool to evaluate the odour compounds during the quality control process. Our aim of the project is to use the E-Nose system for finding the E-coli Bacteria in the public water supply sources for drinking purposes. As the instrument for detecting E-coli Bacteria is not available, and hence we construct an instrument with a sensor having computer connectivity. This work is deliberated to measure the microbial contamination in water segregation system in metropolis and municipalities. However, the range of limits to all factors are associated to sensor with respect to the conventional methods of micro-organism detection. The collection of water from pond at sirudhavoor village in Chengalpattu district. In this sensor system, using an embedded PIC microcontroller is used to detect and quantify the microbial contaminants. The results of this analysis will give the details of CO2 and its bacterial density in drinking water.
Effect of variation in channel length and thickness of organic semiconductor in the bottom-gate configuration of OTFT
Authors: Gupta S , Singh M K 
Published: April 2021

Abstract
Advancing in the device and circuit performance a vast amount of study is going in the area of organic electronics. In the present work, we have patterned the features of the bottom-gate configuration of OTFT with the help of Technology Computer-Aided Design (TCAD) tools where ATLASTM (Silvaco International) has been utilized as a 2D numerical device simulator to extract the electrical characteristics. To monitor the effect of variation in channel length and thickness of OTFT, we have altered the channel length (L) from 10um to 50um, which results in the reduction of the drive current from -1.4 × 10-10 A to -2.7 × 10-11 A (BGBC), and in contrary to that the performance of the device has been affected as the current ratio decrease from 1.2 × 1012 to 1.4 × 103 (BGBC) with a thickness variation of organic semiconductor from 10nm to 50nm. Furthermore, the electrical characteristics as well as performance parameters like mobility, on/off current ratio, threshold voltage, etc., related to configured Bottom-Gate (top and bottom contacts) pentacene-based OTFT devices have been retrieved and compared.
Image segmentation with Kapur, Otsu and minimum cross entropy based multilevel thresholding aided with cuckoo search algorithm
Authors: Kalyani R , Sathya P D , Sakthivel V P 
Published: April 2021

Abstract
Color image segmentation is the primary factor to provide the intended information from the input image. The straightforward method called multilevel thresholding (MLT) is used to analyse the various classes of complex images. But, when the level of threshold increases, computational difficulty increases. Hence, MLT with most promising objective functions such as Kapur, Otsu and minimum cross entropy aided with cuckoo search algorithm (CSA) is used. The efficient metaheuristic cuckoo search algorithm’s controlling parameter balances the local and global search. In this paper, the efficacy of CSA at 4,5,6 and 7 threshold levels with various fitness functions are utilized for precise image segmentation. It is seen from experimental results, the Otsu based cuckoo search algorithm outperform than Kapur and MCE. Quality metrices such as computational time, PSNR (peak signal to noise ratio) and SSIM (structural similarity index) authenticate the exploration and exploitation capability of CSA algorithm for real-world applications.
Performance comparison of IEEE 802.15.4 and IEEE 802.15.4e based MAC algorithm in wireless body sensor networks
Authors: Prasad Durga , Chiplunkar Niranjan N. , Prabhakar Nayak K. 
Published: April 2021

Abstract
One of the potential applications of Wireless Sensor Network for improving the lifestyle of human beings is Wireless Body Sensor Network (WBSN). A dedicated health monitoring system is referred to as the Ubiquitous Health Monitoring (UHM) system consisting of the Internet of Things (IoT) based access points which are made available in a cloud-based server. So, ZigBee based IEEE 802.15.4 technology is extensively used in the implementation of Medium Access Control (MAC) and Physical (PHY) layers. Hence, a comparison is provided in terms of the features of the modified IEEE 802.15.4e standard. An algorithmic approach for the MAC layer helped in regulated power consumption of the sensor node by controlling the transmission power for the packets. This is initiated in the algorithm by categorizing the packets as Delay sensitive and Delay insensitive. By regulating the channel access strategy using Medium Access Control (MAC) layer, the energy consumption of the transceiver reduces, thus improving the energy consumption of the communication system and lifetime of the sensor network. For better throughput using IEEE 802.15.4e, the performance of Deterministic and Synchronous Multi-channel Extension (DSME) is found to be trustworthy than Time Slotted Channel Hopping (TSCH).
Female C57BL/6J Mice Show Alcohol-Seeking Behaviour after Withdrawal from Prolonged Alcohol Consumption in the Social Environment
Authors: Koskela Maryna , Piepponen T Petteri , Andressoo Jaan-Olle , Võikar Vootele , Airavaara Mikko 
Published: April 2021

Abstract

Aims
Recently we developed a model to study alcohol-seeking behaviour after withdrawal in a social context in female mice. The model raised several questions that we were eager to address to improve methodology.

Methods
In our model, female mice were group-housed in automated cages with three conditioned (CS+) corners and water in both sides of one separate non-conditioned corner. Water was available with opened doors at all the time of training. We established conditioning by pairing alcohol drinking with light cues. Here, we introduced prolonged access to increasing concentrations of alcohol instead of intermittent access. To study motivation to drink alcohol, we carried out the extinction tests on withdrawal days 1 (WD1) and 10 (WD10). During tests, the light cues were present in conditioned corners, but there was no liquid in the bottles.

Results
We found that the number of visits and nosepokes in the CS+ corner in the alcohol group was much higher than in the water group. Also, during training, the consumption of alcohol was increasing. In the extinction tests, we found that the number of nosepokes in the CS+ corner increased in the alcohol group on both WD1 and WD10.

Conclusions
Our study supports that alcohol-seeking behaviour after withdrawal can be modelled and studied in group-housed animals and environments without social isolation.
The Development and Validation of the Embedded Validity Indicator for the Neuropsychological Assessment Battery
Authors: Varela Jacob L , Ord Anna S , Phillips Jacob I , Shura Robert D , Sautter Scott W 
Published: April 2021

AbstractObjectiveThe purpose of this study was to develop and validate an embedded measure of performance validity within the Neuropsychological Assessment Battery (NAB).MethodThis study involved a retrospective chart review at an outpatient neuropsychology clinic. Participants were 183 adults (ages 18–70) who completed the attention and memory modules of the NAB, as well as the Word Choice Test, Green’s Medical Symptom Validity Test (MSVT), and Green’s Non-Verbal MSVT, as part of a clinical neuropsychological assessment (n = 147) or as part of a forensic neuropsychological evaluation (n = 36). Replicating methodology utilized by Silverberg et al. (2007) for the development of the Effort Index within the Repeatable Battery for the Assessment of Neuropsychological Status, an Embedded Validity Indictor (EVI) for the NAB was developed in the present study based on Digits Forward and List Learning Long Delayed Forced-Choice Recognition (list recognition) subtests.ResultsReceiver operating characteristic curve analyses indicated the newly developed NAB EVI was able to significantly differentiate between valid and invalid status on stand-alone performance-validity tests, with area under the curve values ranging from 0.797 to 0.977. Optimal cutoffs for medical, forensic, and mixed samples were identified.ConclusionsThe newly developed NAB EVI shows promise as an embedded performance validity measure; however, due to moderate sensitivity, it should be used in combination with stand-alone performance validity tests to detect invalid performance.
Direct protein delivery into intact plant cells using polyhistidine peptides
Authors: Tanaka Yoshino , Nanasato Yoshihiko , Omura Kousei , Endoh Keita , Kawano Tsuyoshi , Iwasaki Takashi 
Published: April 2021

ABSTRACT
Polyhistidine peptides (PHPs), sequences comprising only histidine residues (&gt;His8), are effective cell-penetrating peptides for plant cells. Using PHP-fusion proteins, we aimed to deliver proteins into cultured plant cells from Nicotiana tabacum, Oryza sativa, and Cryptomeria japonica. Co-cultivation of cultured cells with fusion proteins combining maltose-binding protein (MBP), red fluorescent protein (RFP), and various PHPs (MBP–RFP–His8–His20) in one polypeptide showed the cellular uptake of fusion proteins in all plant cell lines. Maximum intracellular fluorescence was shown in MBP-RFP-His20. Further, adenylate cyclase (CyaA), a synthase of cyclic adenosine monophosphate (cAMP) activated by cytosolic calmodulin, was used as a reporter for protein delivery in living cells. A fusion protein combining MBP, RFP, CyaA, and His20 (MBP–RFP–CyaA–His20) was delivered into plant cells and increased intracellular fluorescence and cAMP production in all cell lines. The present study demonstrates that PHPs are effective carriers of proteins into the intracellular space of various cultured plant cells.
A Professional Development Framework for Higher Education Science Faculty that Improves Student Learning
Authors: Cormas Peter C , Gould Gregg , Nicholson Louise , Fredrick Kyle C , Doan S Y 
Published: April 2021

AbstractA recent impetus for the transformation of undergraduate science instruction to improve student learning has prompted stakeholders to support professional development (PD) of higher education science faculty (instructors). In turn, stakeholders have created successful PD for instructors on the basis of research in K–12 teacher PD. However, there is no framework for PD of instructors that has been linked to student learning. The purpose of this literature review and theoretical work is to organize instructors’ PD research within a sequential framework for K–12 PD that has been linked to student learning, to examine limited evidence of student learning yielded from the PD of instructors, to determine whether and to what extent the entire sequence of the framework has been evaluated in PD for instructors, and to use a ubiquitous form of PD known as learning communities as a practical example for how to design, implement, and evaluate PD with the framework.
Andrographis overcomes 5-fluorouracil-associated chemoresistance through inhibition of DKK1 in colorectal cancer
Authors: Zhao Yinghui , Wang Chuanxin , Goel Ajay 
Published: April 2021

Abstract
Colorectal cancer (CRC) ranks as the third leading cause of cancer-related deaths in the USA. 5-Fluorouracil (5FU)-based chemotherapeutic drug remains a mainstay of CRC treatment. Unfortunately, ~50–60% of patients eventually develop resistance to 5FU, leading to poor survival outcomes. Our previous work revealed that andrographis enhanced 5FU-induced anti-cancer activity, but the underlying mechanistic understanding largely remains unclear. In this study, we first established 5FU-resistant (5FUR) CRC cells and observed that combined treatment with andrographis-5FU in 5FUR cells exhibited superior effect on cell viability, proliferation, and colony formation capacity compared with individual treatments (P &lt; 0.001). To identify key genes and pathways responsible for 5FU resistance, we analyzed genome-wide transcriptomic profiling data from CRC patients who either responded or did not respond to 5FU. Among a panel of differentially expressed genes, Dickkopf-1 (DKK1) overexpression was a critical event for 5FU resistance. Moreover, andrographis significantly downregulated 5FU-induced DKK1 overexpression, accompanied with enhanced anti-tumor effects by abrogating downstream Akt-phosphorylation. In line with in vitro findings, andrographis enhanced 5FU-induced anti-cancer activity in mice xenografts and patient-derived tumoroids (P &lt; 0.01). In conclusion, our data provide novel evidence for andrographis-mediated reversal of 5FU resistance, highlighting its potential role as an adjunct to conventional chemotherapy in CRC.
Infectious Diseases Society of America Guidance on the Treatment of Extended-Spectrum β-lactamase Producing Enterobacterales (ESBL-E), Carbapenem-Resistant Enterobacterales (CRE), andPseudomonas aeruginosawith Difficult-to-Treat Resistance (DTR-P. aeruginosa)
Authors: Tamma Pranita D , Aitken Samuel L , Bonomo Robert A , Mathers Amy J , van Duin David , Clancy Cornelius J 
Published: April 2021

AbstractBackgroundAntimicrobial-resistant infections are commonly encountered in US hospitals and result in significant morbidity and mortality. This guidance document provides recommendations for the treatment of infections caused by extended-spectrum β-lactamase–producing Enterobacterales (ESBL-E), carbapenem-resistant Enterobacterales (CRE), and Pseudomonas aeruginosa with difficult-to-treat resistance (DTR-P. aeruginosa).MethodsA panel of 6 infectious diseases specialists with expertise in managing antimicrobial-resistant infections formulated common questions regarding the treatment of ESBL-E, CRE, and DTR-P. aeruginosa infections. Based on review of the published literature and clinical experience, the panel provide recommendations and associated rationale for each recommendation. Because of significant differences in the molecular epidemiology of resistance and the availability of specific anti-infective agents globally, this document focuses on treatment of antimicrobial-resistant infections in the United States.ResultsApproaches to empiric treatment selection, duration of therapy, and other management considerations are briefly discussed. The majority of guidance focuses on preferred and alternative treatment recommendations for antimicrobial-resistant infections, assuming that the causative organism has been identified and antibiotic susceptibility testing results are known. Treatment recommendations apply to both adults and children.ConclusionsThe field of antimicrobial resistance is dynamic and rapidly evolving, and the treatment of antimicrobial-resistant infections will continue to challenge clinicians. This guidance document is current as of 17 September 2020. Updates to this guidance document will occur periodically as new data emerge. Furthermore, the panel will expand recommendations to include other problematic gram-negative pathogens in future versions. The most current version of the guidance including the date of publication can be found at www.idsociety.org/practice-guideline/amr-guidance/.
Multi-view Dynamic Heterogeneous Information Network Embedding
Authors: Zhang Zhenghao , Huang Jianbin , Tan Qinglin 
Published: April 2021

Abstract
Most existing heterogeneous information network (HIN) embedding methods focus on static environments while neglecting the evolving characteristic of real-world networks. Although several dynamic embedding methods have been proposed, they are merely designed for homogeneous networks and cannot be directly applied in heterogeneous environments. To tackle above challenges, we propose a novel framework for incorporating temporal information into HIN embedding, named multi-view dynamic HIN embedding (MDHNE), which can efficiently preserve evolution patterns of implicit relationships from different views in updating node vectors over time. We first transform HIN to a series of homogeneous networks corresponding to different views. Then our proposed MDHNE applies recurrent neural network (RNN) to incorporate evolving pattern of complex network structure and semantic relationships between nodes into latent embedding spaces, and thus the node vectors from multiple views can be learned and updated when HIN evolves over time. Moreover, we come up with an attention-based fusion mechanism, which can automatically infer weights of latent vectors corresponding to different views by minimizing the objective function specific for different mining tasks. Extensive experiments clearly demonstrate that our MDHNE model outperforms state-of-the-art baselines on three real-world dynamic datasets for different network mining tasks.
Histological Disease Activity Measured by the Nancy Index Is Associated with Long-term Outcomes in Patients with Ulcerative Colitis
Authors: D’Amico Ferdinando , Guillo Lucas , Baumann Cedric , Danese Silvio , Peyrin-Biroulet Laurent 
Published: April 2021

Abstract

Background and Aims
Histological healing might be the ultimate therapeutic goal in ulcerative colitis [UC]. Our aim was to investigate the association between histological disease activity as measured by a validated index and long-term outcomes in patients with UC.

Methods
An observational retrospective cohort study was conducted at the Nancy University Hospital between January 2014 and March 2020. All consecutive patients with confirmed UC, undergoing colonoscopy with biopsies and available histological reports, were eligible for inclusion.

Results
A total of 156 patients were included [53% female with a mean age of 41.3 ± 15.4 years]. About a quarter of patients were in histological remission [Nancy index = 0] at baseline [n = 42, 26.9%]. Median follow-up was 30.5 months [range 0–75]. Sixteen patients with histological disease activity at baseline [Nancy index ≥ 1] underwent surgery during follow-up compared with no subject in the histological remission group [14.0% vs 0.0%, respectively, p = 0.01]. Similarly, a higher rate of hospitalisation was found in patients with histological disease activity at baseline than in the histological remission group [36.0% vs 7.1%, respectively, p = 0.001]. The Kaplan-Meier analysis showed that patients with histological disease activity at baseline had a 5-year surgery rate of 16.7% [logrank p = 0.01] and a 5-year hospitalisation rate of 19.7% [logrank p = 0.0002]. In the multivariate regression model, Nancy index &gt; 0 was independently associated with the risk of hospitalisation [hazard ratio 8.88, confidence interval 95% 2.5-31.1, p = 0.0007].

Conclusions
UC patients with histological disease activity, as measured by the Nancy index, have a greater risk of surgery and hospitalisation.
Adverse events and their management during enhanced external counterpulsation treatment in patients with refractory angina pectoris: observations from a routine clinical practice
Authors: Wu Eline , Mårtensson Jan , Desta Liyew , Broström Anders 
Published: April 2021

Abstract

Aims
Enhanced external counterpulsation (EECP) is a non-invasive treatment (35 one-hour sessions) for patients with refractory angina pectoris (RAP). To avoid interruption of treatment, more knowledge is needed about potential adverse events (AE) of EECP and their appropriate management. To describe occurrence of AE and clinical actions related to EECP treatment in patients with RAP and compare the distribution of AE between responders and non-responders to treatment.

Methods and results
A retrospective study was conducted by reviewing medical records of 119 patients with RAP who had undergone one EECP treatment and a 6-min-walk test pre- and post-treatment. Sociodemographic, medical, and clinical data related to EECP were collected from patients’ medical records. An increased walking distance by 10% post-treatment, measured by 6-min-walk test, was considered a responder. The treatment completion rate was high, and the occurrence of AE was low. Adverse events occurred more often in the beginning and gradually decreased towards the end of EECP treatment. The AE were either device related (e.g. muscle pain/soreness) or non-device related (e.g. bradycardia). Medical (e.g. medication adjustments) and/or nursing (e.g. extra padding around the calves, wound dressing) actions were used. The AE distribution did not differ between responders (n = 49, 41.2%) and non-responders. Skin lesion/blister occurred mostly in responders and paraesthesia occurred mostly in non-responders.

Conclusion
Enhanced external counterpulsation appears to be a safe and well-tolerated treatment option in patients with RAP. However, nurses should be attentive and flexible to meet their patients’ needs to prevent AE and early termination of treatment.
A global search for novel transcription factors impacting the Neurospora crassa circadian clock
Authors: Muñoz-Guzmán Felipe , Caballero Valeria , Larrondo Luis F 
Published: April 2021

Abstract
Eukaryotic circadian oscillators share a common circuit architecture, a negative feedback loop in which a positive element activates the transcription of a negative one that then represses the action of the former, inhibiting its own expression. While studies in mammals and insects have revealed additional transcriptional inputs modulating the expression of core clock components, this has been less characterized in the model Neurospora crassa, where the participation of other transcriptional components impacting circadian clock dynamics remains rather unexplored. Thus, we sought to identify additional transcriptional regulators modulating the N. crassa clock, following a reverse genetic screen based on luminescent circadian reporters and a collection of transcription factors (TFs) knockouts, successfully covering close to 60% of them. Besides the canonical core clock components WC-1 and -2, none of the tested transcriptional regulators proved to be essential for rhythmicity. Nevertheless, we identified a set of 23 TFs that when absent lead to discrete, but significant, changes in circadian period. While the current level of analysis does not provide mechanistic information about how these new players modulate circadian parameters, the results of this screen reveal that an important number of light and clock-regulated TFs, involved in a plethora of processes, are capable of modulating the clockworks. This partial reverse genetic clock screen also exemplifies how the N. crassa knockout collection continues to serve as an expedite platform to address broad biological questions.