Miracle-dz/UniFAR-FTUs huggingface dataset:
EFIKASI HERBISIDA AMONIUM GLUFOSINAT UNTUK PENGENDALIAN GULMA PADA TANAMAN KELAPA SAWIT (Elaeis guineensis Jacq.) MENGHASILKAN

Penelitian bertujuan untuk mengetahui efektivitas herbisida amonium glufosinat dalam mengendalikan gulma diperkebunan kelapa sawit menghasilkan, dan mengetahui perubahan komposisi gulma akibat aplikasi herbisida amonium glufosinat. Penelitian dilaksanakan di lahan kelapa sawit milik petani di Desa Pancasila, Kecamatan Natar, Kabupaten Lampung Selatan dan Laboratorium Gulma Fakultas Pertanian Universitas Lampung, Gedong Meneng, Bandar Lampung mulai bulan Januari sampai dengan April 2020. Penelitian menggunakan Rancangan Acak Kelompok (RAK) dengan 4 ulangan dan 6 perlakuan yaitu taraf dosis amonium glufosinat (300, 400, 500, dan 600 g ha-1), penyiangan mekanis, dan tanpa pengendalian (kontrol). Homogenitas ragam data diuji dengan uji Barlett, uji additivitas data diuji dengan menggunakan uji Tukey, jika asumsi terpenuhi data dianalisis ragam dan perbedaan nilai tengah perlakuan diuji dengan uji Beda Nyata Terkecil (BNT) taraf 5%. Hasil penelitian menunjukkan bahwa Herbisida amonium glufosinat 300 – 600 g ha-1 efektif dalam mengendalikan gulma total, gulma golongan rumput, gulma daun lebar dan gulma dominan (Axonopus compressus, dan Praxelis clematidea) sampai 12 MSA, sedangkan gulma dominan Asystasyia gangetica pada dosis 300 g ha-1 hanya mampu mengendalikan sampai 8 MSA. Herbisida amonium glufosinat 300 – 600 g ha-1 mengakibatkan terjadinya perubahan komposisi gulma dominan Asystasia gangetica dan Praxelis clematidea menjadi Synedrella nodilfora dan Commelina diffusa pada 4 dan 8 MSA serta Asystasia gangetica menjadi Commelina diffusa pada 12 MSA.
Community and Hospital Acquired Infection of Methicillin-Resistant Staphylococcus aureus (MRSA) in Erbil City

Background and objective: Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most frequently isolated pathogens in both community and hospitals, and associated with high morbidity and mortality rates with rapid development of resistance. The methicillin-resistance occurs due to the presence of PBP2a of the bacterial cell wall, which has low affinity for β-lactam antibiotics. MRSA are often multi-resistant to both β-lactams and non-β-lactams antibiotics. The study was documented the occurrence of community and hospital acquired MRSA infections. Methods: The clinical specimens were collected from patients at three teaching hospitals in Erbil city. All Staphylococcus aureus were identified as MRSA by detection of PBP2a. Results: Out of 377 Staphylococcus aureus isolated, 30.24% were MRSA. The wound was the most common infection site for both community and hospital acquired MRSA. Statistically the patients with hospital acquired MRSA were older than the community acquired MRSA. Conclusion: MRSA is one of the most common causes of serious infection in community and hospital settings. The most common site infected by MRSA is the surgical wound infection.
A Terahertz Metasurface for Thin Film Biosensing

Terahertz (THz) metasurface biosensors have attracted considerable attention in thin-film biological sensing due to their real-time and ultra-sensitive detection properties. This paper proposes a planar array of split-ring resonators (SRRs) over a dielectric substrate to study its performance for having a highly sensitive, non-label, and low-cost biosensor. By coupling the two SRRs of each unit cell, a pick in the transmission spectra occurs at 1.58 THz. Analyzing the electromagnetic field distribution and surface current flow shows the appearance of coupled electric and magnetic dipoles in the resonators. It is also shown that changing the distance between the coupled SRRs can passively tune the resonance frequency. Finally, the sensing functionality of the metamaterial is validated by simulating a human skin tissue with a refractive index of 1.6 and a thin thickness of $6\ \mu\mathrm{m}$. The results give a remarkable theoretical sensitivity of 400 GHz/RIU.
Partial Weighted Count Tree for Discovery of Rare and Frequent Itemsets

Time and space utilization for discovering interesting patterns from a database plays an important role in analyzing information for major sectors like education, medicine, and e-business. Association rule mining (ARM) technique is used to discover associations among the patterns from large volumes of data. In most ARM algorithms, rare and frequent itemsets discovery is optimized by mining pruned databases stored in the main memory. However, in this case, any change in requirements would necessitate re-scanning of the database. Weighted count tree (WC-Tree), and Single scan pattern tree (SSP-Tree) store the database in the main memory without pruning. WC-Tree stores the entire transaction as a node in the tree. However, if the weight is large, the actual information may be lost due to the precision error. In the current work, an efficient data structure, Partial weighted count tree (PWC-Tree), is proposed to store the database as a complete and compact structure in the main memory without losing the information. The work revealed that PWC-Tree construction is in O(n 2 ) for n transactions in the database. The experimental results show that, for a large dataset, the PWC-Tree is time as well as space-efficient when compared with WC-Tree and SSP-Tree.
Fourier expansion of Arakawa lifting II: Relation with central L-values

This is a continuation of our previous paper [Fourier expansion of Arakawa lifting I: An explicit formula and examples of non-vanishing lifts, Israel J. Math. 187 (2012) 317–369]. The aim of the paper here is to study the Fourier coefficients of Arakawa lifts in relation with central values of automorphic L-functions. In the previous paper we provide an explicit formula for the Fourier coefficients in terms of toral integrals of automorphic forms on multiplicative groups of quaternion algebras. In this paper, after studying explicit relations between the toral integrals and the central L-values, we explicitly determine the constant of proportionality relating the square norm of a Fourier coefficient of an Arakawa lift with the central L-value. We can relate the square norm with the central value of some L-function of convolution type attached to the lift and a Hecke character. We also discuss the existence of strictly positive central values of the L-functions in our concern.
Epidemiological Survey of Thyroid Nodules in 2098 Patients for Routine Physical Examination in Fujian, China

Objective The aim of this study is to establish the prevalence, ultrasound manifestations, and signs of thyroid nodules (thyroid nodules, TNS) in the healthy population, in order to provide a basis for the early diagnosis, treatment, and health education for clinical prevention of thyroid diseases. Methods The data of 2098 physical examination clients who underwent thyroid color Doppler ultrasound examination at our hospital's physical examination center from January 1, 2017, to December 31, 2018, were randomly selected, and the prevalence, size, nature, number, and Thyroid Imaging Reporting and Data System (TI-RADS) classification of the thyroid nodules were statistically analyzed. Results Of the 2098 results analyzed, 992 cases (47.28%) had thyroid nodules; 327 (15.59%) males and 665 (31.70%) females. The prevalence among females was significantly higher than that among males (p < 0.01), and the prevalence increased with age (p < 0.05). The composition ratios of multiple nodules and single nodules in each age group were compared, and the difference was statistically significant (p < 0.05). Detected thyroid nodules were mainly solid, and they were significantly different compared to the cystic and mixed nodules (p < 0.01). The actual classification in our study is consistent with the theory of TI-RADS1∼5 classification. Conclusion In conclusion, to sum up, thyroid color Doppler ultrasonography is very important for screening thyroid nodules in healthy people during routine physical examination, especially in high-pressure and high-intensity working environment, post-menopausal women, and men with family members with a history of thyroid cancer. Therefore, high-risk groups are encouraged to have regular thyroid ultrasonography, while health care workers are encouraged to publicize the risk factors of thyroid nodules and the importance of routine thyroid ultrasound examination.
Teacher Support Matters: The Effect of Self-Control Demands on Safety Behavior of Vocational High School Students in China

The safety behavior of vocational school students is worth noting. The current study is aimed to examine the effect of self-control demands on safety behavior. Drawing on the Self-Control Resource Model, we predict that self-control demands have a negative effect on safety behavior through ego depletion and perceived teacher support moderates the link among self-control demands, ego depletion, and safety behavior. A two-wave survey was conducted and 285 vocational students participated in our study. Mediation and moderated mediation modeling analyses were carried out. Results showed that ego depletion fully mediated the link between self-control demands and safety behavior. Moreover, perceived teacher support moderated the relationship between self-control demands, ego depletion and safety behavior; for students who perceived high levels of teacher support, the negative effect of self-control demands on safety behavior via ego depletion was insignificant, while for students who perceived low levels of teacher support, their negative effect was significant. The present study clarifies the effects of self-control demands on safety behavior through the resource depletion process and highlights the importance of teacher support in buffering the negative effect of self-control demands on workplace safety. Enhancing safety management, engaging in a resource recovery activity, and providing teacher support training are effective ways to maintain high levels of workplace safety.
The Impact of School-Based Nutrition Interventions on Parents and Other Family Members: A Systematic Literature Review

Little is known about the impact of school-based nutrition interventions on parents and other family members. This systematic review aims to explore the impact of school-based nutrition interventions on different parental/family outcomes, mainly dietary intake, nutrition knowledge, and health outcomes. PubMed, Web of Science, PsycINFO, EconLit, Cochrane Reviews, and Google Scholar were systematically searched for controlled trials or natural experiments measuring the impact of school-based nutrition interventions, with or without parental involvement, on parents/families of school children. Twenty-two studies met the inclusion criteria. Of which, 15 studies assessed the impact of school-based nutrition interventions on parental/family dietary intake, 10 on parental/family nutrition knowledge, and 2 on parental/family health outcomes. Inconsistent results were found for parental dietary intake with six studies reporting favorable effects. Most studies found improved parental nutrition knowledge. Positive impacts were seen by both studies that assessed the impact on a parental health outcome. Overall, we found that there is potential for school-based nutrition interventions to result in positive effects for parents, in particular for nutrition knowledge. More research is needed to assess the impacts of school-based nutrition interventions on parents and other family members and to assess important intervention characteristics in creating a positive impact.
Undergraduate Opportunities for Construction Students' Multidisciplinary AEC Collaboration and Awareness

Luciana Debs, is an Assistant Professor of Construction Management in the School Construction Management Technology at Purdue University. She received her PhD from Purdue University Main Campus. Her previous degrees include a MS from the Technical Research Institute of Sao Paulo (IPT-SP), and BArch from the University of São Paulo (USP), in Sao Paulo, Brazil. Prior to her current position she worked in design coordination in construction and real estate development companies in Brazil. Her research interests include team work and collaboration in construction, effective communication in spatial problem solving, and design field team interaction.
Culturable Bacterial Diversity from the Basaltic Subsurface of the Young Volcanic Island of Surtsey, Iceland

The oceanic crust is the world’s largest and least explored biosphere on Earth. The basaltic subsurface of Surtsey island in Iceland represents an analog of the warm and newly formed-oceanic crust and offers a great opportunity for discovering novel microorganisms. In this study, we collected borehole fluids, drill cores, and fumarole samples to evaluate the culturable bacterial diversity from the subsurface of the island. Enrichment cultures were performed using different conditions, media and temperatures. A total of 195 bacterial isolates were successfully cultivated, purified, and identified based on MALDI-TOF MS analysis and by 16S rRNA gene sequencing. Six different clades belonging to Firmicutes (40%), Gammaproteobacteria (28.7%), Actinobacteriota (22%), Bacteroidota (4.1%), Alphaproteobacteria (3%), and Deinococcota (2%) were identified. Bacillus (13.3%) was the major genus, followed by Geobacillus (12.33%), Enterobacter (9.23%), Pseudomonas (6.15%), and Halomonas (5.64%). More than 13% of the cultured strains potentially represent novel species based on partial 16S rRNA gene sequences. Phylogenetic analyses revealed that the isolated strains were closely related to species previously detected in soil, seawater, and hydrothermal active sites. The 16S rRNA gene sequences of the strains were aligned against Amplicon Sequence Variants (ASVs) from the previously published 16S rRNA gene amplicon sequence datasets obtained from the same samples. Compared with the culture-independent community composition, only 5 out of 49 phyla were cultivated. However, those five phyla accounted for more than 80% of the ASVs. Only 121 out of a total of 5642 distinct ASVs were culturable (≥98.65% sequence similarity), representing less than 2.15% of the ASVs detected in the amplicon dataset. Here, we support that the subsurface of Surtsey volcano hosts diverse and active microbial communities and that both culture-dependent and -independent methods are essential to improving our insight into such an extreme and complex volcanic environment.
A PDMS-Based Low-Profile Monopole Antenna for Wearable Applications

A planar monopole antenna using polydimethyl-siloxane (PDMS) as a substrate is presented for on-body wearable applications. Three shorting vias with angular separation of 120 degrees are employed to achieve a low-profile structure with monopole-like radiation pattern. The antenna operates at the Industrial, Scientific and Medical (ISM) band of 5.8 GHz with impedance bandwidth of 4.3% covering frequencies from 5.7 to 5.9 GHz. The proposed antenna is flexible and offers a small size of $0.53\lambda\times 0.53\lambda\times 0.06\lambda$ at its lowest operating frequency. The experimental validation was carried out in free-space and on-body environment and it demonstrates that the proposed antenna is suitable for on-body wearable applications.
Nanowire Embedded Micro-Drilled Dual-Channel Approach to Develop Highly Sensitive Biosensor

In this letter, we propose a novel approach to develop a highly sensitive surface plasmon resonance (SPR) based fiber optics biosensor. The sensor comprises a dual-drilled channel (DDC) with gold-nanowire (AuNW) contained in each channel to excite the plasmon modes. The SPR effect between the core guided mode and the surface plasmon polariton (SPP) modes of the DDC is used to evaluate the sensing response with respect to different analytes. The sensing performance, coupling characteristics, and the fabrication tolerance of the sensor are numerically analyzed and characterized by using a full-vectorial Finite Element Method (FEM). The designed sensor shows a minimum sensitivity of 3150 nm/RIU for refractive index (RI) = 1.310. While, the sensor exhibits an extremely high sensitivity varying from 10250 nm/RIU to 90500 nm/RIU for RI varied over the range of 1.370 to 1.400. Various structural parameters, e.g., separation of the channel from the core, the radius of the AuNW, the fabrication tolerance, etc., have been studied in this work. In addition, the possible fabrication steps of such a design have been discussed indicating its simple practical realization.
Smart Virtual Trial Room For Apparel Industry

In accordance with the development of new technologies, e-commerce is revolutionizing the world, especially in the COVID-19 pandemic. It becomes a major part of the industry in improving revenue. A lot of potential time-consuming in traditional purchasing may lead to failing customer’s trust in apparel industry. So, in e-commerce purchasing, customers get more new collections of apparel, saving money and time. Buying apparel through e-commerce has certain limitations of trying apparel before buying it. However, the proposed system allows customers to experience the fit virtually according to their needs. The main motive of the project is experiencing customer’s outfits before purchasing so that customers can improve their decision-making process. A virtual trial room system improves the accessibility of the garments virtually without any discomfort, enhances customers to feel free to try the fit, comfortable to engage with the environment and there are fewer chances of returning and cancelling products. It detects the customer’s posture and provides 2D virtual garments that are adjusted according to the posture, thus predicting the right fit by measuring the height and width of the body. This application provides interactive, rich and engaging surroundings to the clients.
Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring

This work reports a novel method by fusing Laplacian Eigenmaps feature conversion and deep neural network (DNN) for machine condition assessment. Laplacian Eigenmaps is adopted to transform data features from original high dimension space to projected lower dimensional space, the DNN is optimized by the particle swarm optimization algorithm, and the machine run-to-failure experiment were investigated for validation studies. Through a series of comparative experiments with the original features, two other effective space transformation techniques, Principal Component Analysis (PCA) and Isometric map (Isomap), and two other artificial intelligence methods, hidden Markov model (HMM) as well as back-propagation neural network (BPNN), the present method in this paper proved to be more effective for machine operation condition assessment.
The Elephant in the GSA: Associations Between Discussions of the 2016 U.S. Presidential Election and Mental Health Outcomes in Gender-Sexuality Alliances

The 2016 U.S. Presidential election led to a rise in mental health concerns among marginalized youth. We consider how LGBTQ+ and ally youth responded in Gender-Sexuality Alliances (GSAs). In this secondary analysis, we used survey data to assess for associations between frequency of discussions of the election in GSAs and mental health outcomes. We found that youth in GSAs that discussed the election and its sequelae more frequently reported lower depressive symptoms at the end of the year, but this association held true only for White youth and not racial/ethnic minority youth and only in the 2016 to 2017 academic year and not the 2017 to 2018 academic year. Implications are discussed.
The Reliability of Graduate Medical Education Quality of Care Clinical Performance Measures.

Background Graduate medical education (GME) program leaders struggle to incorporate quality measures in the ambulatory care setting, leading to knowledge gaps on how to provide feedback to residents and programs. While nationally collected quality of care data are available, their reliability for individual resident learning and for GME program improvement is understudied. Objective To examine the reliability of the Healthcare Effectiveness Data and Information Set (HEDIS) clinical performance measures in family medicine and internal medicine GME programs and to determine whether HEDIS measures can inform residents and their programs with their quality of care. Methods From 2014 to 2017, we collected HEDIS measures from 566 residents in 8 family medicine and internal medicine programs under one sponsoring institution. Intraclass correlation was performed to establish patient sample sizes required for 0.70 and 0.80 reliability levels at the resident and program levels. Differences between the patient sample sizes required for reliable measurement and the actual patients cared for by residents were calculated. Results The highest reliability levels for residents (0.88) and programs (0.98) were found for the most frequently available HEDIS measure, colorectal cancer screening. At the GME program level, 87.5% of HEDIS measures had sufficient sample sizes for reliable measurement at alpha 0.7 and 75.0% at alpha 0.8. Most resident level measurements were found to be less reliable. Conclusions GME programs may reliably evaluate HEDIS performance pooled at the program level, but less so at the resident level due to patient volume.
Rectangular dielectric resonator antenna with polarization reconfigurable characteristic

A rectangular dielectric resonator antenna (DRA) with multiple polarization modes is proposed in this study. The antenna is fed by adjustable feed network composed by Wilkinson power divider and tunable phase shift elements. On this reconfigurable design, it can operate in left‐handed circular polarization, right‐handed circular polarization, and linear polarization (LP) modes. The 3‐dB axial ratio bandwidth of 30.2% for CP modes and impedance bandwidth of 33.3% for CP states are obtained. The maximum gains are 5.7 dBic and 6.34 dBi for CP and LP states. A prototype is built on the FR4 substrate with ideal switches and tested to validate the design. Simulated and measured results showed good agreement on the polarization reconfigurable performances of interest. The proposed DRA can be applied to modern wireless system with polarization diversity requirements.
Active Potential of Bacterial Cellulose-Based Wound Dressing: Analysis of Its Potential for Dermal Lesion Treatment

The use of innate products for the fast and efficient promotion of healing process has been one of the biomedical sector’s main bets for lesion treatment modernization process. The aim of this study was to develop and characterize bacterial cellulose-based (BC) wound dressings incorporated with green and red propolis extract (2 to 4%) and the active compounds p-coumaric acid and biochanin A (8 to 16 mg). The characterization of the nine developed samples (one control and eight active wound dressings) evidenced that the mechanics, physics, morphological, and barrier properties depended not only on the type of active principle incorporated onto the cellulosic matrix, but also on its concentration. Of note were the results found for transparency (28.59–110.62T600 mm−1), thickness (0.023–0.046 mm), swelling index (48.93–405.55%), water vapor permeability rate (7.86–38.11 g m2 day−1), elongation (99.13–262.39%), and antioxidant capacity (21.23–86.76 μg mL−1). The wound dressing based on BC and red propolis was the only one that presented antimicrobial activity. The permeation and retention test revealed that the wound dressing containing propolis extract presented the most corneal stratum when compared with viable skin. Overall, the developed wound dressing showed potential to be used for treatment against different types of dermal lesions, according to its determined proprieties.