Miracle-dz/UniFAR-FTUs huggingface dataset:
Lactobacillus Genomics and Metabolic Engineering

Th e Lactobacillus genus comprises more than 200 formally recognized species characterized by a phylogenetic and metabolic diversity that exceeds that of a typical bacterial family. Th e widespread dissem-ination of members of the lactobacilli in di ff erent ecological niches testi fi es to their extraordinary niche adaptability. Advances in sequencing technol-ogies have facilitated a comprehensive examination of the characteristics of the Lactobacillus genus through large-scale comparative genomics, and aided an understanding of the genomic background underpinning the presence of lactobacilli in such a broad range of habitats. Comparative genomic analysis has revealed that adaptation to such highly variable environments is a result of genome evolution. Gene loss and acquisition, mainly driven by horizontal gene transfer, underlies the remarkable genomic diversity observed, resulting in species which may be considered either niche generalists or niche specialists. Larger genome sizes are associated with ecologically fl exible species such as Lactobacillus
Improving the Accuracy of Features Weighted k-Nearest Neighbor using Distance Weight

: FWk-NN is an improvement of k-NN, where FWk-NN gives weight to each data feature thereby reducing the inﬂuence of features that are less relevant to the target. Feature weighting is proven to be able to improve the accuracy of k-NN. However, the FWK-NN still uses the majority vote system for class determination to new data. Whereby the majority vote system is considered to have several weaknesses, it ignores the similarity between data and the possibility of a double majority class. To overcome the issue of vote majority at FWk-NN, the research will change the voting majority by using distance weight. This study uses a dataset obtained from the UCI repository and a water quality data set. The data used from the UCI repository are iris, ionosphere, hayes-Roth, and glass. Based on the tests carried out using UCI repository dataset it is proven that FWk-NN using distance weight has averaged an increase about2%, with the highest increase of accuracy of 4.23% in the glass dataset. In water quality data, FWk-NN using distance weight can achieve an accuracy of 92.58% or has increased 2% from FWk-NN. From all the data tested, it is proven that the distance weight is able to increase the accuracy of the FWk-NN with an average increase about 1.9%.
Impact of bacteremia in a cohort of patients with pneumococcal pneumonia.

OBJECTIVE Bacteremia is the most common presentation of invasive disease in community-acquired pneumonia (CAP) due to Streptococcus pneumoniae. We investigated whether bacteremia in pneumococcal CAP worsens outcomes and whether it is related to pneumococcal vaccination (PV). METHODS Secondary analysis of a cohort of patients with pneumococcal CAP confirmed by blood culture, sputum culture, or urinary antigen testing. Demographic, clinical, radiographic, and biochemical data were collected, as were Acute Physiology and Chronic Health Evaluation II (APACHE II) and pneumonia severity index (PSI) scores, comorbidities, and PV history. We drew comparisons between patients with bacteremic pneumococcal CAP (BPP) and those with non-bacteremic pneumococcal CAP (NBPP). RESULTS Forty-seven patients had BPP, and 71 had NBPP (confirmed by sputum culture in 45 and by urinary antigen testing in 26); 107 had some indication for PV. None of the BPP patients had received PV, compared with 9 of the NBPP patients (p = 0.043). Among the BPP patients, the mean age was higher (76.4 ± 11.5 vs. 67.5 ± 20.9 years), as were APACHE II and PSI scores (16.4 ± 4.6 vs. 14.1 ± 6.5 and 129.5 ± 36 vs. 105.2 ± 45, respectively), as well as the rate of ICU admission for cardiopathy or chronic renal failure (42.5% vs. 22.5%), whereas hematocrit and plasma sodium levels were lower (35.7 ± 5.8 vs. 38.6 ± 6.7% and 133.9 ± 6.0 vs. 137.1 ± 5.5 mEq/L, respectively), although mortality was similar (29.8% vs. 28.2%). CONCLUSIONS In this population at high risk for CAP due to S. pneumoniae, the PV rate was extremely low (8.4%). Although BPP patients were more severely ill, mortality was similar between the two groups. Because PV reduces the incidence of BPP, the vaccination rate in at-risk populations should be increased.
Missing data in multilevel research.

Multilevel data are often incomplete, for example, when participants refuse to answer some items in a questionnaire or drop out of a study that involves multiple measurement occasions. Even though there is a consensus that current state-of-the-art procedures for statistical analyses with missing data should be preferred (e.g., Allison, 2001; Enders, 2010; Little &r Rubin, 2002; Newman, 2014; Schafer & Graham, 2002), simpler methods such as listwise deletion (LD) prevail and are still widely applied in research practice Qelicic, Phelps, &r Lerner, 2009; Nicholson, Deboeck, &r Howard, 2017; Peugh &r Enders, 2004). This is problematic because these methods can distort parameter estimates and statistical inference. In this chapter, we provide a general introduction to the problem of missing data in multilevel research, and we present two principled methods for handling incomplete data: multiple imputation (Ml) and maximum likelihood (ML) estimation. We discuss how these procedures can be used to address missing data in multilevel research, and we consider their commonalities as well as their individual strengths and weaknesses. A brief computer simulation study is used to illustrate the statistical behavior of the parameter estimates obtained from these methods. Finally, we illustrate their application in a data analysis example and provide the syntax files and computer code needed to reproduce our results.
Bifunctionalized allenes. Part XXI. Electrophilic cyclization and addition reactions of 3-(α- or β-hydroxyalkyl)-allenylphosphonates and allenyl phosphine oxides

Abstract The present paper discusses the electrophilic cyclization and addition reactions of 3-(α- or β-hydroxyalkyl)-allenylphosphonates and phosphine oxides. Treatment of 3-(α- or β-hydroxy-alkyl)-allenylphosphonates with electrophiles takes place with 5-endo-trig cyclization and gives 2-methoxy-2,5-dihydro-1,2-oxaphosphole 2-oxides as a result of the neighboring phosphonate group participation in the electrophilic cyclization. On the other hand, 3-(α- or β-hydroxyalkyl)-alk-(1E)-en-1-yl phosphine oxides were prepared by chemo-, regio-, and stereoselective electrophilic addition to the C2-C3-double bond in the 3-(α- or β-hydroxyalkyl)-alka-1,2-dienyl phosphine oxides and subsequent attack of the external nucleophile (halide anion). The paper proposes a possible mechanism that involves electrophilic cyclization and addition reactions of the phosphorylated (α- or β-hydroxyalkyl)allenes. Graphical Abstract
Knowledge and Anxiety Related to Hereditary Ovarian Cancer in Serous Ovarian Cancer Patients.

PURPOSE The awareness of hereditary breast and ovarian cancer (HBOC) and BRCA testing is increasing in Korea. Compared to the sizable research on HBOC knowledge among breast cancer women, studies in the ovarian cancer population are limited. This paper aimed to investigate the level of knowledge of hereditary ovarian cancer and anxiety in women diagnosed with serous ovarian cancer in Korea and determine differences in the knowledge and anxiety according to whether genetic testing was undertaken and whether BRCA1 or BRCA2 mutations were present. METHODS Using a descriptive research design, a cross-sectional survey was conducted on 100 women diagnosed with serous ovarian cancer at N hospital in Gyeonggi-do, Korea, from July to November 2018. The collected data were analyzed by descriptive statistics, independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient using the SPSS 21.0 program. RESULTS The hereditary ovarian cancer-related knowledge score was mid-level (mean score 8.90±3.29 out of a total of 17), as was the state anxiety level was mid-level (mean score 47.96±3.26 out of possible score range of 20-80). Genetic knowledge of hereditary ovarian cancer was associated with age, education, occupation, genetic counseling, and BRCA mutations. There were no statistically significant factors related to anxiety and there were no statistically significant correlations between knowledge level and anxiety. CONCLUSION More comprehensive education on gene-related cancer is needed for ovarian cancer patients, especially for items with low knowledge scores. A genetic counseling protocol should be developed to allow more patients to alleviate their anxiety through genetic counseling.
Pitch contour tracking in music using Harmonic Locked Loops

We present a novel time-domain pitch contour tracking algorithm based on Harmonic Locked Loops, which differs from existing method in terms of its approach, resolution, timbre information and speed. In addition to estimating pitch contours, the proposed method computes the amplitude of each harmonic over time, expanding the potential set of features that can be used for higher level tasks such as melody extraction. The method is tested against ground truth melody pitch annotations from publicly available datasets, and we show that contour recall is improved compared with a state of the art approach.
Catalytic lignocellulose biorefining in n-butanol/water: a one-pot approach toward phenolics, polyols, and cellulose

Lignocellulose constitutes an alluring renewable feedstock for the production of bio-based chemicals. In this contribution, we propose a chemocatalytic biorefinery concept that aims to convert lignocellulosic biomass (Eucalyptus sawdust) into (i) lignin-derived (mono)phenolics, (ii) hemicellulose-derived polyols, and (iii) a cellulose pulp. This is achieved by processing biomass in an equivolumetric mixture of n-butanol and water at elevated temperature (200 °C), in the presence of Ru/C and pressurised hydrogen (30 bar). During this one-pot Reductive Catalytic Fractionation (RCF) process, the hot liquor enables the extraction and solvolytic depolymerisation of both lignin and hemicellulose, while the catalyst and reductive environment are essential to hydrogenate reactive intermediates (coniferyl/sinapyl alcohol and sugars) toward stable target products (phenolics and polyols, respectively). After the catalytic reaction, the solid carbohydrate pulp (mainly cellulose) is easily retrieved upon filtration. Phase separation of n-butanol and water occurs upon cooling the liquor (<125 °C), which offers a facile and effective strategy to isolate lignin-derived phenolics (n-butanol phase) from polyols (aqueous phase). The three resulting product streams provide a versatile platform for down-stream conversion, en route to bio-based chemicals. A proof-of-concept experiment using a 2 L batch reactor demonstrates the scalability potential. Furthermore, this contribution highlights that the conversion of each biopolymer is influenced in a different way by reaction parameters like catalyst, hydrogen pressure, temperature, and acidity (HCl). The key challenge is to find suitable conditions that allow (close-to-)optimal valorisation of all constituents.
EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments

With the popularity of mobile devices, intelligent applications, e.g., face recognition, intelligent voice assistant, and gesture recognition, have been widely used in our daily lives. However, due to the lack of computing capacities, it is difficult for mobile devices to support complex Deep Neural Network (DNN) inference. To alleviate the pressure on these devices, traditional methods usually upload part of the DNN model to a cloud server and perform a DNN query after uploading an entire DNN model. To achieve real-time DNN query, we consider the collaboration between local, edge and cloud, and perform DNN query when uploading DNN partitions. In this paper, we propose an Efficient offloading scheme for DNN Inference Acceleration (EosDNN) in a local-edge-cloud collaborative environment, where the DNN inference acceleration is mainly embodied in the optimization of migration delay and realization of real-time DNN query. EosDNN comprehensively considers the migration plan and uploading plan, where for the former, a Particle Swarm Optimization with Genetic Algorithm (PSO-GA) is applied to obtain the distribution of DNN layers under the server with the lowest migration delay, and for the latter, a Layer Merge Uploading Algorithm (LMU) is proposed to obtain DNN partitions and their upload order with efficient DNN query performance. Experimental results demonstrate that EosDNN can be applied to large-scale DNN model migration, which can achieve an ideal migration delay and obtain a more fine-grained DNN partition uploading plan, thereby optimizing DNN query performance.
The use of principal component analysis for the construction of the Water Poverty Index

ABSTRACT In relation to water resources, indexes can be created to express the multiple dimensions involved with it to aid the planning and management of basins. In this regard, the Water Poverty Index is globally used, but one of its criticisms includes the subjectivity associated with how the sub-indexes are weighted. Therefore, in this study, we applied principal component analysis (PCA) to determine the sub-indexes’ weight: resource, access, capacity, use, and environment of the Seridó river basin. This new index with PCA presents an average range with broader values compared to methodologies without, allowing clear identification of the disparities among the cities and the possibility to better prioritize investments concerning water poverty reduction. Our results show that this approach makes it possible to qualitatively identify geographical locations that have greater water poverty compared to others. Additionally, with this approach, it can be determined whether water poverty is caused due to natural characteristics or deficits in water infrastructure investment, providing insight into social fragilities as well. Overall, the presented hierarchical tool in this study has a high value to improve the planning of water resource uses.
Financial Assets, Inflation Hedges, and Capital Utilization in Developing Countries: An Extension of McKinnon's Complementarity Hypothesis

In a highly influential book McKinnon [1973] proposed that interest rate liberalization and low inflation can promote capital accumulation and economic growth in developing countries. An important aspect of McKinnon's work is his formal argument that money (broadly defined to include both cash and bank deposits) and physical capital are more likely to be complements than substitutes under conditions of "financial repression," where interest rate controls or high inflation reduce the real yield on money balances to low or even negative levels [McKinnon, Chapter 6]. McKinnon's formal analysis assumes that household firms and other small enterprises in financially repressed developing economies are faced with significant capital indivisibilities and have no access to credit, so that they are forced to accumulate substantial amounts of noncapital assets before undertaking productive investments. Under financial repression, accumulation of inflation hedges (commodity inventories, for example) may be the least-cost method of building up these noncapital asset balances required for "lumpy" investments in physical capital. Even inflation hedges may have negative returns (e.g., due to high storage costs), thereby further reducing potential capital accumulation. In this situation an increased yield to money balances (via interest rate liberalization or lower inflation) can lower the cost of accumulating funds for physical capital purchases, so that increased money balances may be associated with a more rapid rate of capital accumulation and hence economic growth. McKinnon's "complementarity hypothesis" thus emphasizes the use of cash and deposit balances as a "conduit" for physical capital accumulation by credit-constrained enterprises. However, as noted by Drake [1980, p. 66]:
Military Experience in Civilian Government Organizations: An Exploratory Study of Its Effects on a Range of Work Attitudes and Behaviors

There is a large body of research that has comparatively explored the relationship that military experience has with the attitudes and behaviors of employees who work in military organizations. However, very few studies have extended this line of research in civilian organizations. This study seeks to add to this body of research by exploring whether there are meaningful attitude and behavioral differences between veterans and non-veterans who work in a government civilian organization. Using a sample of 500 federal employees in the United States, the findings of this study revealed that prior military experience had no meaningful relationship to the work satisfaction, performance, person-organization fit, public service motivation, work stress, nor turnover intentions of public employees. The most important predictors of the work attitudes of employees were their age, education level, full-time status, and years of work experience. The implications this study has for the field of public management are discussed.
Wrist Actimetry Biomarker Development of Paretic Upper Limb Use in Post Stroke Patients for Ecological Monitoring.

Background In post-stroke patients it is unclear which wrist actimetry biomarkers to use to estimate the degree of upper limb hemiparesis. The objective of this study was to develop a general and objective framework for monitoring hemiparetic patients in their home environment via different biomarkers based on 7 days of actimetry data. A secondary objective was to use all of these biomarkers to better understand the mechanism for potential non-use of the paretic upper limb. Methods Accelerometers were worn continuously for a period of 7 days on both wrists of 10 post-stroke hemiparetic patients as well as 6 healthy subjects. Various wrist actimetry biomarkers were calculated, including the Jerk ratio 50 (JR50, cumulative probability that the Jerk Ratio is between 0 and 0.5), absolute and relative amounts of functional use of movements of the upper limbs (FuncUse and FuncUseR) and absolute and relative velocities of the upper limbs during functional use (VUL and VULR). For each biomarker, the values of stroke and healthy groups were compared. The correlations between all the biomarkers were studied. Results We studied 10 participants with mild-to-moderate chronic hemiparesis and 6 healthy control participants. FuncUse and VUL of the paretic upper limb of stroke patients were significantly lower than in the non-dominant upper limb of healthy subjects. Similarly, FuncUseR (paretic/non-paretic vs non-dominant/dominant), JR and VULR are significantly lower in stroke patients than in healthy subjects. FuncUseR, VULR and JR50 seem to be complementary biomarkers for monitoring patient strokes. Conclusion The stroke patients do not seem to compensate for the decrease in functional movement on the paretic side by an increase on the non-paretic side. The speed of execution of functional movements on the paretic side could be the limiting factor to a normal use of the paretic upper limb. A thorough clinical study is needed to identify the limiting factors. In conclusion, this study for the first time has shown actimetry is a robust and non-obtrusive lightweight technology for continuously acquiring objective upper limb data of paretic arm use/ non-use over an extended period in a home environment for monitoring stroke patients.
Social workers in politics–a qualitative analysis of factors influencing social workers’ decision to run for political office

ABSTRACT The aim of this qualitative study is to explore factors that influence social workers’ decision to participate in parliamentary politics, and to identify important policy-making skills and competencies of social workers holding elected office. Seven semi-structured biographical interviews with social workers in Switzerland who are serving as elected politicians at local, state, or national levels were conducted and analysed according to the principles of qualitative content analysis. Based on the Civic Voluntarism Model as well as previous studies in the field of socialisation research, this study identifies families of origin and mobilisation networks as main influencing factors, alongside with professional experience in social work that also plays a significant role. It can be further concluded that important skills to be successful in policy-making processes are acquired through social work education and professional practice. The results support existing findings and emphasise that to further promote political engagement, political action should be more strongly integrated into social work education and encouraged by professional associations.
Human papillomavirus-based cervical precancer screening with visual inspection with acetic acid triage to achieve same-day treatments among women living with human immunodeficiency virus infection: test-of-concept study in Ibadan, Nigeria

Introduction cervical precancer screening with same day treatment facilitates maximization of benefits of secondary prevention of cervical cancer. This is particularly important for women living with human immunodeficiency virus (WLHIV) infection because of their exceptional risk for cervical cancer. The availability of HIV programmes in low- and middle-income countries (LMICs) provide unique opportunity for possible introduction “human papillomavirus (HPV) screening followed by visual inspection after application of acetic acid (VIA) with same day treatment of eligible patients”. This study piloted this concept. Methods in this prospective, cohort study, 98 WLHIV had HPV and VIA screening for cervical precancer lesions in a HIV clinic in Nigeria. Participants positive to HPV and/or VIA had biopsies from the visible lesions or quadrant of transformation zone. Participants positive to VIA and/or HPV16 or HPV18/45 had same-day thermal ablation treatment and the number of cases documented. The HPV, VIA and scenario of HPV followed by VIA results were compared with histologically confirmed cervical lesion grade 2 or worse statistically. Results same day treatment was achieved in 95.0% of eligible cases. Statistically, sensitivity and specificity of VIA was 25.0% and 50.0% and HPV had 95.5% and 75.0%, respectively. In the HPV screening with VIA triage, sensitivity dropped to 45.5% but specificity improved to 100.0%. Conclusion triaging HPV positive test with VIA for same-day treatment in cervical precancer screening among PLWHIV looks feasible. The improved specificity will reduce the overtreatment rate, loss to follow-up associated with repeat clinic visits and improve completion of continuum of care.
Calculating the Inrush Current of Superconducting Transformers

Under certain circumstances, after connecting a superconducting transformer to the power network, a high value current may flow through its windings. This current can exceed the critical value of the superconductor many times and cause the windings to lose their superconductive state. Loss of superconductive state of the windings may result in thermal interruption of their continuity as a result of conduction of a current of very high density. The mathematical relationships used to calculate the inrush current of conventional transformers do not work well for the calculation of superconducting transformers. This is due to the properties of superconducting materials used in the windings, first of all to the stepwise changes of the windings’ resistance when exiting the superconducting state and when returning to this state. The article presents the mathematical dependencies allowing to calculate the pulse waveforms of the inrush current of these transformers are derived. Basic electrical circuit sizes are used in the calculations, making the calculations quick and easy. Using the formulas, calculations of the inrush current of 8.5 kVA and 13.5 kVA superconducting transformers. The results were verified with the results of the inrush current measurements, achieving good compliance.