Miracle-dz/UniFAR-FTUs huggingface dataset:
Potensi Ekstrak Daun Jamblang (Syzigium cumini L.) Sebagai Larvasida Untuk Pengendalian Larva Nyamuk Aedes aegypti

The leaves of jamblang (Syzygium cumini L.) are known to contain active compounds including flavonoids, tannins, alkaloids, triterpenoids, monoterpenens, and essensial oil. The various concentrations of jamblang leaves extract are expected to affect the mortality of 3rd instar Aedes aegypti mosquitoes larvae. The purpose of this reseacrh was to identify the active compound of jamblang leaves and determine the effective concentration of LC50 of jamblang leaves methanol extract to affect the mortality of 3rd instar A. aegypti mosquitoes larvae. This research used parts of young leaves, mixed leaves (young leaves and old leaved), and old leaves with a concentration of 0 ppm, 250 ppm, 500 ppm, 750 ppm, 1000 ppm and three replications. Observations were made for 96 hours the mortality of 3rd instar A. aegypti mosquitoes larvae. The result showed that extract concentration became higher, the mortality of 3rd instar A. aegypti mosquitoes larvae will be higher too. The higher average mortality was found in the extract of old jamblang leaves with s concentration of 1000 ppm and the result of probit analysis showed that the LC50 value which effectively killed 3rd instar A. aegypti mosquitoes larvae was the old leaves extract with a concentration of 733 ppm. Key words: Aedes aegypti, larvicide, mortality, Syzygium cumini L. ABSTRAK Daun jamblang (Syzygium cumini L.) diketahui mengandung senyawa aktif antara lain flavonoid, tanin, alkaloid, triterpenoid, monoterpen, dan minyak atsiri. Macam konsentrasi ekstrak daun jamblang diharapkan berpengaruh terhadap mortalitas nyamuk Aedes aegypti instar III. Tujuan dari penelitian ini adalah untuk mengidentifikasi senyawa aktif daun jamblang dan menentukan konsentrasi efektif LC50 ekstrak metanol daun jamblang terhadap mortalitas larva nyamuk Aedes aegypti instar III. Penelitian ini menggunakan bagian daun muda, daun campuran (daun muda dan daun tua), dan daun tua dengan konsentrasi 0 ppm, 250 ppm, 500 ppm, 750 ppm, 1000 ppm dan tiga kali ulangan. Pengamatan dilakukan selama 96 jam terhadap mortalitas larva A. aegypti instar III. Hasil penelitian menunjukkan bahwa semakin tinggi konsentrasi ekstrak, maka semakin tinggi pula mortalitas larva nyamuk A. aegypti instar III. Hasil rerata mortalitas tertinggi terjadi pada ekstrak daun jamblang tua dengan konsentrasi 1000 ppm dan hasil analisa probit menunjukkan nilai LC50 yang efektif membunuh larva nyamuk A. aegypti yaitu ekstrak daun tua dengan konsentrasi 733 ppm. Kata Kunci: Aedes aegypti, larvasida, mortalitas, Syzygium cumini L.
A review of machine learning applications in human resource management

PurposeThis paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machine learning (ML) adoption in the core functions of human resource management (HRM). Design/methodology/approachA semi-systematic approach has been used in this review. It allows for a more detailed analysis of the literature which emerges from multiple disciplines and uses different methods and theoretical frameworks. Since ML research comes from multiple disciplines and consists of several methods, a semi-systematic approach to literature review was considered appropriate.FindingsThe review suggests that HRM has embraced ML, albeit it is at a nascent stage and is receiving attention largely from technology-oriented researchers. ML applications are strongest in the areas of recruitment and performance management and the use of decision trees and text-mining algorithms for classification dominate all functions of HRM. For complex processes, ML applications are still at an early stage; requiring HR experts and ML specialists to work together.Originality/valueGiven the current focus of organizations on digitalization, this review contributes significantly to the understanding of the current state of ML integration in HRM. Along with increasing efficiency and effectiveness of HRM functions, ML applications improve employees' experience and facilitate performance in the organizations.
Arthrodesis of Ipsilateral Hallux Metatarsophalangeal and Interphalangeal Joints

Background: Arthrodesis of the ipsilateral hallux metatarsophalangeal (MTP) and interphalangeal (IP) joints may be required for severe arthritis or deformity at both joints. The purpose of this study was to review outcomes of ipsilateral first MTP and IP joint arthrodesis. Methods: Twenty feet were identified, for which the diagnosis was rheumatoid arthritis in 14, failed hallux valgus surgery in 5, and hallux rigidus in 1. The IP arthrodesis was performed first in 6 feet; MTP first in 8 feet; and both joints simultaneously in 6 feet. Median follow-up was 28 months (range 12-94). Medical records and radiographs were reviewed. American Orthopaedic Foot & Ankle Society (AOFAS) score and patient satisfaction were determined. Results: Although all of the MTP arthrodeses healed, 8 of 20 feet (40%) failed to heal at the IP arthrodesis. The rate of IP nonunion was 17% (1/6) with IP arthrodesis first, 50% (4/8) with MTP arthrodesis first, and 50% (3/6) with simultaneous arthrodesis. Four of 8 IP nonunions were symptomatic. Subsequent surgery was required in 11 feet (55%), including repair of IP nonunion in 3 feet, hardware removal in 4, revision MTP malunion in 2, wound debridement in 1, and soft tissue reconstruction in 1. Median hallux AOFAS score for the cohort increased from 25 to 68. Eighteen feet resulted in patients who were very satisfied or satisfied with minor reservations. Neither AOFAS score nor satisfaction trended toward association with IP union. Conclusion: Ipsilateral arthrodesis of the hallux MTP and IP joints was challenging because of high rates of reoperation and IP nonunion, the latter of which was likely related to increased mechanical stress on the IP joint with immobilization of the MTP joint. Despite the high IP nonunion rate, IP nonunion did not predict patient-reported outcome. Fibrous ankylosis was an acceptable clinical outcome in many cases. Level of Evidence: Level IV, case series.
Research on Credit Evaluation of Construction Market EntitiesBased on Conditional Random Field

This paper firstly judges the change of credit level of the credit subject from the dynamic perspective of "state-behavior". Then, according to the conditional random field theory, the data of credit behavior and credit status are taken as random variables in the conditional random field to construct multiple characteristic functions representing the relationship between the credit behavior and the credit status. And finally, the credit evaluation system based on the conditional random field is constructed. In summary, this paper constructs a credit evaluation framework of market entities from the credit evaluation system and conditional random field credit labeling, which can be used in the construction of market credit dynamic supervision for reference.
Anti-rheumatoid arthritic effect of fermented Adlay and Achyranthes japonica Nakai on collagen-induced arthritis in mice

ABSTRACT Adlay (CL) has been used as food and medicinal plant, and its anti-inflammatory, anti-cancer and anti-allergic activities have been demonstrated. However, its anti-rheumatoid arthritic effect has not been evaluated. We evaluated the anti-rheumatoid arthritic activity of fermented CL (FCL) in vivo compared to fermented Achyranthes japonica Nakai (FAJN). The collagen-induced arthritis (CIA) mouse model was used, and clinical signs, histological examination, serum inflammatory and rheumatoid factors were analyzed. FCL and FAJN significantly reduced incidence of CIA, alleviated inflammation and joint destruction through inhibition of IL-1β and rheumatoid factors. In addition, they increased anti-oxidant enzyme activity such as superoxide dismutase (SOD) in the liver. Interestingly, ferulic acid was isolated from the FCL extract, which have anti-oxidant and anti-inflammatory activities. Moreover, the anti-rheumatoid arthritis (RA) effect of FCL was shown to be similar to or much better than that of FAJN. Therefore, our study suggests that FCL and FAJN are potential agents to alleviate RA.
Production of high strength bioliquid from municipal solid waste (MSW) using mixed culture

Landfilling is one of the most commonly used methods of municipal solid waste (MSW) disposal. It is necessary because there are residues in all waste management processes that cannot be reused or recovered further and are essentially landfilled. For the degradation of MSW, thermal, mechanical and biological pretreatment techniques are used. MSW could be treated and converted into liquid biomass (bioliquid) by using enzymes. This research focused on the production of high strength bioliquid in MSW. The experiments were conducted in three stages namely: acclimatization process, preliminary study and factorial analysis to determine the production of high strength bioliquid in MSW. The selected factors were ratio of AMC and substrates (1:2 and 1:5), temperature (room temperature and 37 °C), pH (adjusted pH and no pH adjustment), PET plastics size (1cm2 and 4cm2) and Hydraulic Retention Time (3 hours and 9 hours). Design Expert software (Version 7) was used to construct an experimental table where all the factors were randomized. Two-level factorial analysis (TLFA) was used to analyze the most contributing factor and interaction between the factors. The results showed that the most significant factor was temperature, while the interaction factors were between temperature and HRT. The best conditions of COD increment were determined at AMC/S ratio 1:5, adjusted pH, PET plastics size of 1cm x 1cm, at room temperature and HRT of 3 hours. The experimental and targeted final increments of COD were 2.19 and 1.99 respectively. Since the error was less than 10%, it is acceptable, and the objectives of this research were successfully achieved.
The 360° Performance System in Team Sports: Time to Design a “Personalised Jacket“for Team Sports Players?

Top performance in team sports attracts the attention from the general public. In particular, the best players became incredibly skilled and physically powerful, a fact that potentiates to deliver a product considered attractive, exciting and competitive. Not surprisingly, this is a very valuable product from an economic and social standpoint, thus, all sports professionals are extremely interested in developing new procedures to improve sports performance. Besides, the great interests of the various stakeholders (owners, CEO-s, agents, fans, media, coaches, players, families and friends) are one of the main reasons for this development of sports science umbrella and the accompanying sports industry. all their personal performances should be coordinated and put into function by the sports team. In this scientific and applied manuscript, we will deal primarily with the individual treatment of players in order to improve their personal performance and, consequently, team sport performance.
Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S

Ron Jarmin reflects on the progress in the past twenty years of research data centers in the US and Canada. Based on his contribution to the panel on “Microdata Access: Perspectives from Canada, France, the UK and the US” at the October 2020 Canadian Research Data Centre Network (CRDCN) conference celebrating the 20th anniversary of
Performance Analysis of Feature sets in Speaker Diarization techniques

Speech is the most important communication among humans. Processing of speech signal has many strategies including speech coding, speaker recognition, speaker verification, etc. Speaker diarization is the pre-processing stage for many applications of speaker recognition systems. Speaker Diarization is the mission of determining “who Spoke when” for any audio recording that carries an unknown quantity of records and an unknown variety of audio systems. Speaker diarization has come to be achief era for many tasks like navigation, retrieval, or higher-level interference on audio data. It mainly performs three operations feature extraction, voice activity detection, and classification. In this paper, we’ve reviewed the few speaker diarization Techniques. The trendy speaker diarization structures finished nice outcomes. In this paper, few speaker diarization device performances are evaluated for Diarization mistakes, Tracking time, and False alarm.
Optimization of Fracturing Parameters by Modified Variable-Length Particle-Swarm Optimization in Shale-Gas Reservoir

Horizontal drilling and hydraulic fracturing are recognized as the most efficient techniques to enhance recovery in shale-gas reservoirs. Because of the exploitation difficulties and complex flow mechanism in shale gas, it is imperative to focus on the optimization of fracturing parameters. However, most of the current heuristic algorithms follow the principle that the variable dimension is constant during iteration, which leads to poor performance when dealing with dimension-varying problems. The optimization of fracturing parameters can be regarded as a typical dimension-varying problem when considering the difference among fracture properties such as half-length and conductivity. Thus an improved algorithm named modified variable-length particle-swarm optimization (PSO) (VPSO) (MVPSO) was proposed to automatically select the optimal fracturing parameters: the number of fractures as well as the corresponding fracture properties. Then, MVPSO was verified and compared with VPSO by several benchmarks. In addition, a gas/water two-phase model considering gas-adsorption and Knudsen-diffusion effects was used to describe the shale-gas flow in matrix and fracture domains. An embedded discrete-fracture model (EDFM) was applied to model the hydraulic-fracture geometries and fractal methods were adopted to generate the fracture networks. The results indicated that MVPSO showed better performance in both convergence speed and accuracy than that of VPSO, which also provided a new perspective for the optimization of fracturing parameters. Besides, the multispindle-shaped fracture-distribution pattern reached a higher net-present-value (NPV) contrast to that of homogeneous fracture distribution. The decrease of gas price leads to smaller and more nonuniform half-length distribution.
Does national culture matter? Understanding the impact of supply chain integration in multiple countries

Purpose With increasing globalization, supply chain management in various national cultures requires understanding. This study aims to examine the moderating effects of individualistic and uncertainty avoidance cultures on the relationship between supply chain integration (SCI) and different dimensions of firm performance (i.e. flexibility and financial). Design/methodology/approach This study collected 124 pairwise survey data from supply chain and senior managers of retail firms in 35 countries. Hofstede’s national culture index was used to examine the moderating effects. Structural equation modeling and regression analysis were used to test the model. Findings Results corroborate that in a higher uncertainty avoidance culture, the positive influence of SCI on flexibility performance is stronger, but that on financial performance is weaker. By contrast, individualism reduces the positive influence of SCI on financial performance, but does not moderate that on flexibility performance. Originality/value This paper proposes a contingent model for SCI-performance relationships by integrating the relational view and the national cultural perspective. Critical national cultural dimensions moderate the effects of SCI on flexibility and financial performance. Therefore, operational managers should design differential SCI strategies in various cultural settings.
MiRNA-mediated Changes in DNA Methylation Affect the Expression of Genes Involved in the Thickness of Pod Canopy Trait in Brassica Napus

Background: Methylation plays an important role in regulating crop development, but little is known about how methylation regulates plant architecture in rapeseed (Brassica napus). Here, we examined how methylation affects the TPC (thickness of pod canopy) trait in rapeseed by performing genome-wide methylation analysis of two extreme TPC lines. Results: We detected significant differences in overall methylation levels between the high- and low-TPC lines in the CG, CHG, and CHH contexts in the promoters of genes in the stem apex and flower bud. In flower buds, 26 genes had significantly higher methylation levels in the high-TPC samples compared to the low-TPC samples, resulting in significantly reduced gene expression. By contrast, in the stem apex samples, the promoter regions of 22 genes were hypermethylated in the high- vs. low-TPC samples. The promoters of 19 and 21 genes had significantly reduced methylation levels in the flower bud and stem apex, respectively, of the high- vs. low-TPC samples, resulting in significantly higher expression levels. Some of these differentially expressed genes are associated with TPC-related traits, such as BnaC03g53050D (UBC32), BnaA05g26660D (CYSB), BnaA10g07880D (TCP 1), BnaAnng09670D (SMP1), BnaA09g02000D (SDH2-2), BnaC01g12960D (NRT1.8), and BnaC09g30490D (TAF15b). In addition, 14 important genes related to growth and development were differentially regulated between the two groups due to miRNA-mediated differences in methylation levels in their promoters. For example, hypermethylation in the promoter region of BnaCnng64040D (Lipase family protein) mediated by miR159a led to significantly reduced gene expression in flower buds of high-TPC vs. low-TPC lines. Conclusions: These results, together with our previously generated RNA-seq and miRNA profiling data, indicate that both methylation and miRNAs are involved in regulating the expression of genes in nitrogen-related metabolic pathways, thereby affecting the TPC trait in B. napus, providing a reference for uncovering the molecular mechanism regulating this crucial trait.
Investigation on the Effect of the Feature Extraction Backbone for Small Object Segmentation using Fully Convolutional Neural Network in Traffic Signs Application

Small objects are widely found in different applications such as traffic signs and to segment those objects make it difficult to extract features due to the small number of pixels. Previous research has been done to show how error prone the semantic segmentation networks to small objects in variance of application such as medical images and remote sensing and how it leads to class imbalance. However, small object segmentation seems to be tricky and making the network struggle. Recently there are small amount of research has been done in the effect of the feature extraction backbone to the small object datasets. In this paper we investigate the effect of different backbone feature extraction such as AlexNet, VGGNet, GoogleNet on an imbalanced small objects dataset after grouping them by shape and colour in the Fully Convolutional Networks (FCN). We measure the performance on PASCAL VOC and Malaysian Traffic Sign Dataset (MTSD) showing the pixel accuracy, mean accuracy per class, mean IoU and frequency weighted IoU for each backbone and FCN. The results show that VGGNet as a backbone with Cross Entropy (CE) combined with Dice Loss (DL) achieves the highest score in mean IoU for imbalanced dataset but not for balanced dataset. However, in the imbalanced dataset major classes have a higher probability to confuse with minor classes due to the class imbalance. In conclusion we investigate different backbone networks with grouped labels dataset in shape and colour and we recommend using VGGNet FCN with CE combined with DL for imbalanced datasets.
Review on carbonaceous materials and metal composites in deformable electrodes for flexible lithium-ion batteries

With the rapid propagation of flexible electronic devices, flexible lithium-ion batteries (FLIBs) are emerging as the most promising energy supplier among all of the energy storage devices owing to their high energy and power densities with good cycling stability. As a key component of FLIBs, to date, researchers have tried to develop newly designed high-performance electrochemically and mechanically stable pliable electrodes. To synthesize better quality flexible electrodes, based on high conductivity and mechanical strength of carbonaceous materials and metals, several research studies have been conducted. Despite both materials-based electrodes demonstrating excellent electrochemical and mechanical performances in the laboratory experimental process, they cannot meet the expected demands of stable flexible electrodes with high energy density. After all, various significant issues associated with them need to be overcome, for instance, poor electrochemical performance, the rapid decay of the electrode architecture during deformation, and complicated as well as costly production processes thus limiting their expansive applications. Herein, the recent progression in the exploration of carbonaceous materials and metals based flexible electrode materials are summarized and discussed, with special focus on determining their relative electrochemical performance and structural stability based on recent advancement. Major factors for the future advancement of FLIBs in this field are also discussed.
The physics of photon induced degradation of perovskite solar cells

Lead-trihalide perovskite solar cells are an important photovoltaic technology. We investigate the effect of light induced degradation on perovskite solar cells. During exposure, the open-circuit voltage (Voc) of the device increases, whereas the short-circuit current (Isc) shows a decrease. The degradation can be completely recovered using thermal annealing in dark. We develop a model based on light induced generation of ions and migration of these ions inside the material to explain the changes in Isc, Voc, capacitance and dark current upon light exposure and post-exposure recovery. There was no change in defect density in the material upon exposure.
¿Afectan los regímenes de tipos de cambio a la prima de riesgo cambiario? Evidencias internacionales

This article analyzes the impact of the risk premium on exchange returns and the relationship between the risk premium and flexible exchange rate regimes. We use the GMM estimator proposed by Arellano and Bond (1991) on a sample of 21 countries between January 1997 and December 2015. Our results show that the time-varying exchange premium is concentrated in emerging markets and it generates a depreciation that ranges between 1.8% and 2.7% monthly. In developed markets, there is a constant exchange risk premium that promotes an appreciation of their currencies against the US dollar. These results reveal that the UIP and CIP are not fulfilled, although their bias is less in emerging countries. Exchange flexibility has dissimilar effects between developed and emerging countries. These results have important implications for policymakers and investors.