Miracle-dz/UniFAR-FTUs huggingface dataset:
ROART: Range-query Optimized Persistent ART

With the availability of commercial NVM devices such as Intel Optane DC PMM, it is time to start thinking about applying the existing persistent data structures in practice. This paper considers three practical aspects, which have signiﬁ-cant inﬂuences on the design of persistent indexes, including functionality, performance and correctness . We design a new persistent index, ROART, based on adaptive radix tree (ART), taking all these practical aspects into account. ROART (i) proposes a leaf compaction method to reduce pointer chasing for range queries, (ii) minimizes persistence overhead with three optimizations, i.e., entry compression , selective metadata persistence and minimally ordered split , and (iii) designs a fast memory management to prevent memory leaks, and eliminates the long recovery time by proposing an instant restart strategy. Evaluations show that ROART outperforms the state-of-the-art radix tree by up to 1.65 × and B + -Trees by 1.17 ∼ 8.27 × respectively.
Phenotypic detection of Carbapenamase among Klebsiella pneumoniae isolated from clinical samples using modified Hodged test

Carbapenemases are microbial enzymes that confer resistance to virtually all available beta-lactam antibiotics and the most frequent carbapenemases are the Klebsiella pneumoniae Carbapenamase (KPC). Detection of carbapenemases is a significant infection control strategy as the enzymes are often associated with extensive antimicrobial resistance, therapeutic failures and mortality associated with infectious diseases. A total of 400 clinical samples were collected from different groups of patients in Abubakar Tafawa Balewa University Teaching Hospital, Bauchi, Nigeria and 118 K. pneumoniae were isolated using standard microbiological techniques. The isolates were subjected to antibiotic susceptibility testing by Kirby-Bauer disc diffusion method, then screened for Carbapenamase production using modified Hodge test. The results indicated that the isolates were resistant to Ampicillin (61.9%), Ceftriaxone (50.8%) and Ceftazidime (50.8%), then Ciprofloxacin (54.2%), but predominantly sensitive to Imipenem (66.9%), Eterpenem (60.2%) and Meropenem (65.3%). It was found that 38 (32.2%) of the isolates phenotypically shows the presence of Carbapenamase, with highest frequency of (40.7%) among patients, mainly adult females with cases of Urinary Tract Infections (UTIs) and the least from wound (11.8%). This study revealed that the isolates produced other beta-lactamases than KPC or variants of Carbapenamase that cannot be detected by modified Hodge test, thus shows low resistance to carbapenems. Therefore further studies is needed to genotypically confirm the presence of KPC in these isolates.
MANAGING MEDICAL DEVICES INNOVATION: THE DIFFUSION OF THE AUTOMATED EXTERNAL DEFIBRILLATOR (AED) IN THE NETHERLANDS

2 Preface . 3 1.0 Introduction . 6 1.1 Motive . 7 1.2 Problem discussion . 7 1.3 Research objectives. 10 1.4 Delimitations . 10 2.0 Methodology . 12 2.1 Research approach . 12 2.2 Case studies. 13 2.3 Data collection . 14 2.4 Data analysis . 15 3.0 Theoretical framework . 16 3.1 Innovation research . 17 3.1.1 Preliminary conclusions and findings of the section . 19 3.2 Diffusion of innovations . 19 3.2.1 Innovation . 20 3.2.2 Communication channels . 20 3.2.3 Time . 21 3.2.4 Social System . 23 3.2. 5 Rate of adoption . 24 3.2. 6 Characteristics of adopter categories . 25 3.2. 7 Preliminary conclusions and findings of the section . 25 3.3 The innovation-decision process model . 26 3.3.1 The Knowledge Stage . 27 3.3.2 The Persuasion Stage . 27 3.3.3 The Decision Stage . 28 3.3. 4 The Implementation Stage . 28 3.3. 5 The Confirmation Stage . 29 3.3. 6 Criticisms of diffusion of innovation research . 30 3.3. 7 Preliminary conclusions and findings of the section . 31
Development of a two-step LDA based aspect extraction technique for review summarization

ABSTRACT Summarization of online reviews by customers is a popular practice for evaluation of products or services. As the reviews accumulate, the large size and the unstructured nature of the reviews hinder manual summarization. Automatic categorization of the reviews as a whole into only positive and negative group cannot represent a clear picture. An aspect based automatic summarization technique can provide better visualization. However, automatic extraction of proper aspects from the huge reviews of any product is not very easy. There are some research works in this direction, but any definite method is yet to come. In this work, a two-step Latent Dirichlet Allocation (LDA) technique, which is popularly used for topic modelling has been developed for efficient aspect extraction. The method has been evaluated by simulation experiments on Amazon product reviews and Yelp restaurant and hotel reviews. The results have been found quite matching with human annotated results.
A Supervoxel Classification Based Method for Multi-organ Segmentation from Abdominal CT Images

Multi-organ segmentation is a critical step in Computer-Aided Diagnosis (CAD) system. We proposed a novel method for automatic abdominal multi-organ segmentation by introducing spatial information in the process of supervoxel classification. Supervoxels with boundaries adjacent to anatomical edges are separated from the image by using the Simple Linear Iterative Clustering (SLIC) from the images. Then a random forest classifier is built to predict the labels of the supervoxels according to their spatial and intensity features. Thirty abdominal CT images are used in the experiment of segmentation task for spleen, right kidney, left kidney, and liver region. The experiment result shows that the proposed method achieves a higher accuracy of segmentation compares to our previous model-based method.
FORMULATION AND EVALUATION OF LOSARTAN POTASSIUM FAST DISSOLVING FILMS USING ALOE VERA GEL

The present study was aimed to develop a novel fast dissolving drug delivery system for an antihypertensive drug. Fast dissolving films (FDF’s) are particularly useful in pediatric, geriatric, psychiatric and bedridden patients who have difficulty in swallowing. Losartan potassium (LP), an antihypertensive drug, is an angiotensin II receptor antagonist. The aim of the present study was to develop FDF’s of LP to increase patient compliance. The FDF’s were prepared by solvent casting method using different grades of low viscosity hydroxypropyl methylcellulose (HPMC) and Aloe vera gel. The FDF’s were evaluated for compatibility, thickness, uniformity of weight, folding endurance, surface morphology, surface pH, moisture uptake, moisture loss, uniformity of drug content, tensile strength, disintegration time and in vitro dissolution studies. DSC and FTIR results indicated that there was no incompatibility between the drug and the polymers. SEM micrograph revealed that the surface morphology of optimized formulation F11 possessed smooth texture and uniform distribution of drug. Moisture uptake was found to be highest (21.79 ± 0.12 %) for Aloe vera containing films suggesting that Aloe vera increases the hydrophilicity and water uptake of the films. The disintegration time was lowest for Aloe vera containing FDF’s and was 16±2.60 sec for formulation F11. In vitro dissolution study showed that the drug release was found to be 98.82±0.33 % at the end of 90mins in 300 ml of pH 6.8 simulated salivary fluid at 37±0.5 °C. The study demonstrated that FDF’s of HPMC E15 with Aloe vera gel could be
The influence of particulate contamination in diesel fuel on the damage to fuel injection systems

The impact of various size particulate contamination on the process of accelerated wear followed by damage to the fuel injection sys-tem has been studied in long-term tests on an engine test stand. Also processes of tribological wear of working components of fuel injec-tors and of high pressure pumps material has been characterised. Measurement results of particulate contamination in diesel fuels available on the Polish market have been presented, referred to requirements of the PN-EN590 standard and of the Worldwide Fuel Charter. In the summary attention has been drawn to the growing problem of particulate contamination in fuels available on the market, and in particular their threat to durability and proper operation of increasingly complex and precisely manufactured HPCR type fuel injection systems.
Cumulative readings of modified numerals: A plural projection approach

This paper addresses cumulative readings of modified-numeral DPs (MNs) like exactly two boys. Based on new German data, we argue that MNs are interpreted in situ in cumulative sentences, while the maximality condition contributed by the numeral modifier can take wider scope. We present an analysis that combines the Plural Projection system (Schmitt, 2019 a.o.), a surface-compositional approach to cumulativity, with a two-dimensional semantics for the numeral modifiers (Krifka, 1999 a.o.) and derives widest scope for the maximality condition. We then discuss ‘non-maximal’ readings of MNs (Buccola and Spector, 2016). We show that the availability of such readings depends on the syntactic positions of the MNs, which supports the idea that they are interpreted in situ, and sketch a way of deriving this fact.
Barriers for nurse participation in multidisciplinary ward rounds: An integrative review

Available online at: http://npt.tums. ac.ir Background & Aim: The purpose of this integrative literature review was to find, critically evaluate, and describe publications about barriers against nurse participation and collaboration in multidisciplinary ward rounds. Although multidisciplinary ward rounds are the right place for doctors and nurses to communicate, nurses’ attendance in these rounds is missed. The nurses' absence at the multidisciplinary ward rounding has negative effects on the patients, their relatives, other team members, and their care. Methods: A systematic approach to searching, screening, and analyzing the literature was applied. The original and review papers were used. This study was an integrative review based on Whittemore and Knafl’s framework. Web of Science, PubMed, Scopus, Cochrane, Magiran, and SID were searched by time limitation for ten years (2009-2019). The search was conducted between February 2019–March 2019. The language was limited to English and Persian . Results: After duplicate removal, title, and abstract review, 63 papers remained. After full-text control, finally, 7 papers chased for this review. Barriers for rounding were divided into 4 main categories: time limitation, reluctance to participate, ineffective communication, and infrastructure & administration. Nurse time limitation, feeling not being valued by MDs, lack of standard and structure, and nurse unawareness from time of round are the most repeated barriers. Conclusion: Barriers may need to be removed until nurse participation in multidisciplinary ward rounds improves. Some study needs to take place about this issue in Iran to identify the situation, facilitators, and barriers specific to our country. Based on them, a relevant intervention can be chased.
Computational Design of Protein Structure and Prediction of Ligand Binding

Proteins perform a tremendous array of finely-tuned functions which are not only critical in living organisms, but can be used for industrial and medical purposes. The ability to rationally design these molecular machines could provide a wealth of opportunities, for example to improve human health and to expand the range and reduce cost of many industrial chemical processes. The modularity of a protein sequence combined with many degrees of structural freedom yield a problem that can frequently be best tackled using computational methods. These computational methods, which include the use of: bioinformatics analysis, molecular dynamics, empirical forcefields, statistical potentials, and machine learning approaches, amongst others, are collectively known as Computational Protein Design (CPD). Here CPD is examined from the perspective of four different goals: successful design of an intended structure, the prediction of folding and unfolding kinetics from structure (kinetic stability in particular), engineering of improved stability, and prediction of binding sites and energetics. A considerable proportion of protein folds, and the majority of the most common folds (“superfolds”), are internally symmetric, suggesting emergence from an ancient repetition event. CPD— an increasingly popular and successful method for generating de novo folded sequences and topologies — suffers from exponential scaling of complexity with protein size. Thus, the overwhelming majority of successful designs are of relatively small proteins (< 100 amino acids). Designing proteins comprised of repeated modular elements allows the design space to be partitioned into more manageable portions. Here, a bioinformatics analysis of a “superfold”, the β-trefoil, demonstrated that formation of a globular fold via repetition was not only an ancient event, but an ongoing means of generating diverse and functional sequences. Modular repetition also promotes rapid evolution for binding multivalent targets in the “evolutionary arms race” between host and pathogen. Finally, modular repetition was used to successfully design, on the first attempt, a well-folded and functional β-trefoil, called ThreeFoil. Improving protein design requires understanding the outcomes of design and not simply the 3D structure. To this end, I undertook an extensive biophysical characterization of ThreeFoil, with the key finding that its unfolding is extraordinarily slow, with a half-life of almost a decade. This kinetic stability grants ThreeFoil near-immunity to common denaturants as well as high resistance to proteolysis. A large scale analysis of hundreds of proteins, and coarse-grained modelling of ThreeFoil and other beta-trefoils, indicates that high kinetic stability results from a folded structure rich in contacts between residues distant in sequence (long-range contacts). Furthermore, an analysis of unrelated proteins known to have similar protease resistance, demonstrates that the topological complexity
Facial Micro-expression Analysis via a High Speed Structured Light Sensing System

—Facial micro-expressions play a pivotal role in human non-verbal emotional expression, so it can be used in many fields such as criminal interrogation, clinical diagnosis and animation. Conventional means are usually based on 2D image analysis means, which has shown its disadvantage in real applications. In this paper, a 3D-based facial micro-expression analysis method is firstly proposed. The 3D acquisition equipment based on high-speed structured light is established to capture dense and accurate 3D facial shapes with a maximum speed of 300Hz. Facial micro-expression detection method is put forward to extract the onset and offset of micro-expression sequence. Finally, a 4D descriptor is introduced to describe the timing characteristic of facial micro-expression. Experiments on real human faces are used to verify feasibility of the proposed system and method.
The Moderating Effect of Special Peer Support on the Relationship Between Remuneration and Employee Commitmen

Ashfaq Ahmad, Hazrat Bilal, Palwasha Bibi, Jawad Hussain Assistant Professor, Centre for Management and Commerce, University of Swat, Pakistan, Ashfaqahmad79@outlook.com, hbilal@uswat.edu. pk, Dr.palwashabibi@gmail.com Associate Professor, Department of Commerce and Management Sciences, University of Malakand, Pakistan, jawadhussain79@gmail.com ARTICLE DETAILS ABSTRACT History Revised format: November 2020 Available Online: December 2020 The aim of this study is to examine the effect of remuneration on the level of commitment of full-time restaurant staff working in Hotel industry of Malaysia. This study also looks into the moderating effect of Special Peer Support (SPS) on the relationship between remuneration and Employee Commitment (EC). Data were collected from 380 full time employees working in large scale restaurants of Malaysia. Smart PLS-2 software was used to analyse the data. The findings reveal that there exists a significant and positive impact of remuneration on EC. Moreover, the results also indicate that SPS moderates the remuneration and EC relationship. The findings of the current study suggest that the practitioners and policy makers should increase the level of employee commitment through enhanced remuneration and special peer support for the purpose to achieve organizational objectives.
Effect of exercise training on lipid profiles in the elderly: A systematic review and meta-analysis of randomized controlled trials

Background and aims: There are many articles about the effects of different training methods on lipid profiles in the elderly. The objective of the present study was to investigate the influence of training on the lipid profile in the elderly. Methods: In this study, databases of PubMed, Embase, Scopus, ScienceDirect, Web of Science, SID, Magiran, and Google Scholar were searched. Intervention effects were presented as mean difference (MD) with a random-effects model. Subgroup analysis and sensitivity analysis were performed to study heterogeneity, following the primary screening of the full text of the articles. Results: A total of 23 trials with 1654 individuals were included in the meta-analysis. Levels of high-density lipoprotein cholesterol (HDL-C) (MD = 0.47 mg/dL; P<0.001, SE = 0.08, V = 0.01, 95% CI = 0.31 0.63, Z = 5.73, 19 trials), low-density lipoprotein cholesterol (LDL-C) (MD = -0.46; P<0.001, SE = 0.11, V = 0.01, 95% CI = -0.68 -0.25, Z = -4.24), triglyceride (MD = -0.62; P=0.001, SE = 0.12, V = 0.01, 95% CI = -0.86 -0.38, Z = -5.03, 20 trials), and total cholesterol (TC) (MD = -0.33; P<0.001, SE = 0.09, V = 0.01, 95% CI = -0.52 -0.15, Z = -3.57, 16 trials) were investigated. Following sensitivity analysis and heterogeneity testing, the results were still strong and impressive. Conclusion: Lipid profiles improved in training groups, indicating higher levels of HDL-C and lower levels of LDL-C, TC, and triglyceride. Overall, training leads to a better lipid profile. However, closer scrutiny seems necessary.
Effect of deficit irrigation and nitrogen levels on growth and yield of cauliflower under drip irrigation

A field experiment was conducted to study the effect of deficit irrigation and nitrogen levels on the growth and yield of cauliflower at Agronomy Research Farm, The University of Agriculture Peshawar Khyber Pakhtunkhwa. The experiment was designed as randomized complete block with split plot arrangement having three replications. Four irrigation levels I1, I2, I3 and I4 (100%, 75%, 50% and 25% of Management Allowed Deficit) were applied. Similarly, three nitrogen (N) levels N1, N2 and N3 were applied as 20, 40 and 60 kgha -1 respectively. Results showed that different irrigation levels significantly affected number of leaves per plant, leaf length, leaf weight, plant height, days to curd initiation, Curd maturity, Curd diameter, biological yield, curd yield, water use efficiency and harvest index. Maximum number of leaves per plant (23), leaf length (29 cm), leaf weight (457 g), days to curd initiation (93), curd maturity (16), curd diameter (27 cm), plant height (59 cm), biological yield (50 tons ha), curd yield (41 tons ha), water use efficiency (210 kghamm) and harvest index (8.50 %) were recorded at I1 irrigation level. Different nitrogen levels had significantly affected leaf length, leaf weight, days to curd initiation, curd maturity, plant height, curd diameter, curd yield, curd weight, water use efficiency and biological yield. Maximum leaf length (26 cm), leaf weight (378 g), plant height (53 cm), days to curd initiation (101), maturity (17), biological yield (47 tons ha), water use efficiency (175 kghamm) and curd yield (39 tons ha) was recorded at 60 kg N ha. The above results showed that full irrigation through drip system with nitrogen application of 60 kgha is recommended for higher cauliflower yield.
Monitoring vegetation dynamics and ecosystem service provision in semi-arid Bobirwa sub-district of Botswana using MODIS-NDVI time series data from 2000-2015

Our study uses freely available, remotely-sensed Normalized Difference Vegetation Index (NDVI) data and participatory processes to examine the links between vegetation dynamics and recent changes in the delivery of key ecosystem services in the semi-arid Bobirwa subdistrict in the Limpopo Basin, Botswana. The results show that degradation in the study area is provoked by both human activity and adverse climate with pronounced consequences on the delivery of key local ecosystem services.
Floral induction pathways: Decision making and determination in plants to flower-A comprehensive review

Reproductive success in angiosperms has remained dependent on the evolution of elaborate mechanisms that guarantee the flowering to occur at a favorable time. For the occurrence of floral transition at an opportune time, these regulatory mechanisms integrate varied environmental cues with the endogenous physiological ones. For understanding the underlying mechanisms of floral transition, genetic models have been developed based on the physiological studies carried on in the last century and the current molecular studies. Physiological experiments have been performed with diverse species, whereas studies mostly on Arabidopsis thaliana, a little flowering plant, have led to the development of current genetic models. This review will focus on the four-floral inductive pathways which operate in Arabidopsis: Photoperiodic, autonomous, gibberellin promotion, and vernalization pathways and how in this network of pathways, different nodes signify a site of signal integration and how the pathways are integrated, leading to a co-ordinated initiation of flowering.
Detection of B1 gene as Toxoplasmosis marker in women of childbearing age in West Bandung Regency, Indonesia

Congenital toxoplasmosis can cause damage and death to the fetus, to prevent this case, toxoplasmosis testing is important for the woman of childbearing age. One of the methods to screening the presence of T. gondii in the blood is Polymerase Chain Reaction (PCR). One of the T. gondii genes which can be used as a marker is the B1 gene. There are many toxoplasmosis cases in Indonesia, but the data is still difficult to find in West Bandung Regency. This study aimed to determine the number of toxoplasmosis cases in a woman of childbearing age in West Bandung Regency using the B1 gene as a marker and to determine the factors that influence these cases by conducting statistical analysis on the results of the questionnaire. The sample used in this study was 50 women of childbearing age (got married and domiciled in West Bandung). All samples have met the inclusion criteria and signed the informed consent. DNA from blood specimens was isolated using the Wizard Genomic DNA Purification Kit. The concentration and purity of isolated DNA were measured using a nanodrop device. Besides, the B1 gene from T. gondii was amplified using a pair of specific primers and visualized by the agarose electrophoresis method. Data were analyzed using the logistic regression method. The results showed that 7 women of childbearing age women (14%) in West Bandung Regency had toxoplasmosis. Frequent contact with pets, especially cats, was a significant factor (p <0.005) in this disease transmission.