Miracle-dz/UniFAR-FTUs huggingface dataset:
(Isolation and Growth Response of Root Mutualistic Fungi on Several Agriculture and Forestry Plants)

The study aimed to isolate and test the effectiveness of mutualistic root symbiontic fungi isolated from the roots of rubber plants grown in marginal acidic soil plantations in increasing the growth of food crops and forestry plants. The fungi were isolated by root surface sterilization methods. We obtained 19 fungal isolates consisting of 8 genera, namely Alternaria, Aspergillus, Cladosporium, Curvularia, Fusarium, Penicillium Paecilomyces, Trichoderma, and mycelia sterilia. All isolates were subjected to a pathogenicity test on the Centrosema pubescens plant. Five out of the 19 fungal isolates increased plant growth and showed no disease symptoms, and the Aspergillus section Nigri FKK 3 isolate showed the best response. The isolate was further analyzed to assess the growth response of food crops (rice and corn) and forestry plants (Acacia auriculiformis and Paraserianthes falcataria). The treatments consisted of 3 phosphate (P) concentrations, namely 20%, 50%, and 100% of the recommended field applications. The combination of mutualistic fungal inoculation of Aspergillus section Nigri FKK 3 and 50% P concentration exhibited the highest biomass growth response compared to other treatments. This finding can provide basic information for developing fungal-based biofertilizers to increase the productivity of food crops and forestry plants on sub-optimal land.
Fabrication of highly lattice mismatched AlInSb diodes on GaAs substrates for thermophotovoltaic cells

We have fabricated and investigated the optical properties of highly lattice mismatched AlInSb thermophotovoltaic cells grown on GaAs substrates. Defects, such as dislocations and surface damage, were minimized by controlling the strain of the film structure and by using a silicon nitride passivation layer. An output power density of 9.7 mW cm−2 was achieved under 1000 °C blackbody radiation with an incident power density of 1.63 W cm−2, which gave a power conversion efficiency of 0.59 %. Optimal efficiency of above 5% was estimated by a simulation using recombination parameters obtained from electroluminescence analysis. Additionally, a six-fold increase in spectral efficiency was confirmed by using a 3.3 μm monochromatic light source, which indicated that a thermophotovoltaic cell with a high efficiency of more than 30% would be possible in combination with wavelength-selective emitter.
A case study on manufacturing electronic-embedded garments with stitched surface-mount fabrication

Electronic-embedded textiles or e-textiles preserve the form factor of typical apparel but have the ability to provide required electrical performance, enabling expanded functionality and comfort to the wearer. However, durable, reliable, and scalable manufacturing of e-textiles has remained one of the major challenges to large-scale development of garment-integrated applications of wearable technology. Moreover, there is a gap in our understanding of the impact of integration of electronics into textiles and challenges involved in manufacturing e-textile garments in mass. In this paper, we present the first manufacturing case study for electronic-embedded garments, to the best of our knowledge. We first developed a sensor-integrated fire-fighter turnout gear coat as an example e-textile product. Next, we performed a pre-production study to investigate the new variables that emerge from the prototyping phase to the production phase. To evaluate the challenges of manufacturing e-textiles in mass as compared to non-electronic garments, we produced 40 pieces each of regular and temperature sensing fire-fighter turnout gear coat liner garments using stitched surface-mount fabrication methods. The study results show that the average manufacturing time and cost to produce a sensor-integrated thermal liner are 3.27 and 3.44 times higher, respectively, than producing a regular thermal liner garment, given that all the materials, labor, and standard sewing methods and machines remain constant. Additionally, we show the impact on requisite worker skills and training and quality assurance methods to produce e-textile garments compared to regular garments. We illustrate high-potential areas where strategic product and production design that leverages existing machines and tools can reduce the impact that embedded technologies have on labor, equipment, and cost. We conclude that the stitched surface-mount manufacturing method could potentially be used as an alternative for manufacturing e-textiles in mass.
Quantum simulations with nuclear magnetic resonance system

Thanks to the quantum simulation, more and more problems in quantum mechanics which were previously inaccessible are now open to us. Capitalizing on the state-of-the-art techniques on quantum coherent control developed in past few decades, e.g., the high-precision quantum gate manipulating, the time-reversal harnessing, the high-fidelity state preparation and tomography, the nuclear magnetic resonance (NMR) system offers a unique platform for quantum simulation of many-body physics and high-energy physics. Here, we review the recent experimental progress and discuss the prospects for quantum simulation realized on NMR systems.
www.ssoar.info Shared heritability of attention-deficit/ hyperactivity disorder and autism spectrum disorder

Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are both highly heritable neurodevelopmental disorders. Evidence indicates both disorders co-occur with a high frequency, in 20–50% of children with ADHD meeting criteria for ASD and in 3080% of ASD children meeting criteria for ADHD. This review will provide an overview on all available studies [family based, twin, candidate gene, linkage, and genome wide association (GWA) studies] shedding light on the role of shared genetic underpinnings of ADHD and ASD. It is concluded that family and twin studies do provide support for the hypothesis that ADHD and ASD originate from partly similar familial/genetic factors. Only a few candidate gene studies, linkage studies and GWA studies have specifically addressed this co-occurrence, pinpointing to some promising pleiotropic genes, loci and single nucleotide polymorphisms (SNPs), but the research field is in urgent need for better designed and powered studies to tackle this complex issue. We propose that future studies examining shared familial etiological factors for ADHD and ASD use a family-based design in which the same phenotypic (ADHD and ASD), candidate endophenotypic, and environmental measurements are obtained from all family members. Multivariate multi-level models are probably best suited for the statistical analysis.
QUANTITATIVE MAGNETIC RESONANCE IMAGE ANALYSIS VIA THE EM ALGORITHM WITH STOCHASTIC VARIATION1

Quantitative Magnetic Resonance Imaging (qMRI) provides researchers insight into pathological and physiological alterations of living tissue, with the help of which researchers hope to predict (local) therapeutic efficacy early and determine optimal treatment schedule. However, the analysis of qMRI has been limited to ad-hoc heuristic methods. Our research provides a powerful statistical framework for image analysis and sheds light on future localized adaptive treatment regimes tailored to the individual’s response. We assume in an imperfect world we only observe a blurred and noisy version of the underlying pathological/physiological changes via qMRI, due to measurement errors or unpredictable influences. We use a hidden Markov random field to model the spatial dependence in the data and develop a maximum likelihood approach via the Expectation–Maximization algorithm with stochastic variation. An important improvement over previous work is the assessment of variability in parameter estimation, which is the valid basis for statistical inference. More importantly, we focus on the expected changes rather than image segmentation. Our research has shown that the approach is powerful in both simulation studies and on a real dataset, while quite robust in the presence of some model assumption violations.
RAS MICROBIOLOGY AND INFECTIOUS DISEASES Research Article: Antibiotics Resistant Genes and Plasmid curing of Multidrug Resistant Clinical Bacterial Isolates from the Three Geographical Regions of Ondo State, Nigeria

Author Name: 1 Olajubu F.A. , 1,3Ajayi A.O, 2Fadipe D.O. and 4Yakubu P. 1. Department of Microbiology, Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria 2. University Health Centre, Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria 3. Centre for Infectious Diseases Control and Drug Development (CIDCDD), Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria 4. Department of Science Laboratory Technology, School of Applied Science and Technology Auchi Polytechnic, Auchi. Edo State. Nigeria
Innovation Management And New Product Development 6th Edition

Successful Product InnovationValuepackPrinciple Concepts of Technology and Innovation Management: Critical Research ModelsInnovation ManagementOpen InnovationProduct Innovation and Technology StrategyInnovation ManagementInnovation on DemandDeveloping InnovationProduct Innovation through Knowledge Management and Social Media StrategiesInnovation, Product Development and CommercializationStrategic Innovation ManagementProduct Innovation, Interactive Learning and Economic PerformanceLeveraging Constraints for InnovationInnovation and New Product PlanningApplying InnovationNew Product DevelopmentInnovation EquityThe Routledge Companion to Innovation ManagementInnovation Management and New Product DevelopmentUsing the ISO 56002 Innovation Management SystemValues-Based Innovation ManagementInnovation and Product ManagementThe Oxford Handbook of Innovation ManagementThe Handbook of Technology and Innovation ManagementInnovation Management and New Product DevelopmentWinning at New ProductsThe Innovation GameInnovation ManagementInnovation Management and New Product DevelopmentThe PDMA Handbook of New Product DevelopmentFrugal Innovation and the New Product Development ProcessCreativity for Innovation ManagementInnovation ManagementManaging InnovationInnovation Management and New Product Development PDF eBookNew Waves in Innovation Management Research (ISPIM Insights)Sports Innovation ManagementInnovation ManagementInnovation Management and New Product Development
Quality control constraint of Guizotia abyssinica Cass, source of medicinally useful edible oil seeds

Introduction: Guizotia abyssinica Cass. branched herb with erect, stout stem, commonly known as Ramtil or Niger seed. Seeds are the rich source of oil with high nutritional index. Traditionally the seed powder is used as remedy for cough, oil in cases of rheumatism. Apart from this the seeds are also used for different dishes like chutney, condiments etc. Hence a study has been designed to document pharmacognostic, physicochemical & phytochemical data on above drug. Materials and Methods: Matured seeds were collected, authenticated and used for the study. Macro-microscopy, physicochemical, phytochemical standards and HPTLC marked using proper protocol. Results: Seeds are achene, obovoid and narrowly long like a needle, black with white to yellow scars on the top. Microscopic study shown the presence of epidermis and endodermis filled with alluerone grains and oil globules. Physico-chemical standards mark the purity of the drug. Alkaloid, Steroid, Carbohydrate, Terpenoid & Coumarins were detected as secondary metabolites. HPTLC revealed prominent spots with Rf values 0.54, 0.58, & 0.70 under short UV and 0.45& 0.82 under long UV. Conclusion: Pharmacognostic values depicted in this paper are a measure of its quality standards
Comparing Distributions by Measuring Differences that Affect Decision Making

Measuring the discrepancy between two probability distributions is a fundamental problem in machine learning and statistics. We propose a new class of discrepancies based on the optimal loss for a decision task – two distributions are diﬀerent if the optimal decision loss is higher on their mixture than on each individual distribution. By suitably choosing the decision task, this generalizes the Jensen-Shannon divergence and the maximum mean discrepancy family. We apply our approach to two-sample tests, and on various benchmarks, we achieve superior test power compared to competing methods. In addition, a modeler can directly specify their preferences when comparing distributions through the decision loss. We apply this property to understanding the eﬀects of climate change on diﬀerent economic activities and selecting features targeting diﬀerent decision tasks
Ambiguity, Long-Run Risks, and Asset Prices

I generalize the long-run risks (LRR) model of Bansal and Yaron (2004) by incorporating recursive smooth ambiguity aversion preferences from Klibanoff et al. (2005, 2009) and time-varying ambiguity. Relative to the Bansal-Yaron model, the generalized LRR model is as tractable but more flexible due to its separation of ambiguity aversion from both risk aversion and the intertemporal elasticity of substitution. This three-way separation allows the model to further account for the variance premium puzzle besides the puzzles of the equity premium, the risk-free rate, and the return predictability. Specifically, the model matches reasonably well key asset-pricing moments with risk aversion under 5. Model calibration shows that the ambiguity aversion channel accounts for 77 percent of the variance premium and 40 percent of the equity premium. JEL classification: G12, G13, D81, E44
Protocols for marker-free gene knock-out and knock-down in Kluyveromyces marxianus using CRISPR/Cas9

ABSTRACT There is increased interest in strain engineering in the food and industrial yeast Kluyveromyces marxianus and a number of CRISPR/Cas9 systems have been described and used by different groups. The methods that we developed allow for very rapid and efficient inactivation of target genes using the endogenous DNA repair mechanisms of the cell. The strains and plasmids that we use are freely available, and here we provide a set of integrated protocols to easily inactivate genes and to precisely integrate DNA fragments into the genome, for example for promoter replacement, allelic swaps or introduction of point mutations. The protocols use the Cas9/gRNA expression plasmid pUCC001 and Golden Gate assembly for molecular cloning of targeting sequences. A genome-wide set of target sequences is provided. Using these plasmids in wild-type strains or in strains lacking non-homologous end-joining (NHEJ) DNA repair, the first set of protocols explain how to introduce indels (NHEJ-mediated) or precise deletions (homology-dependent repair (HDR)-mediated) at precise targets. The second set of protocols describe how to swap a promoter or coding sequence to yield a reprogrammed gene. The methods do not require the use of dominant or auxotrophic marker genes and thus the strains generated are marker-free. The protocols have been tested in multiple K. marxianus strains, are straightforward and can be carried out in any molecular biology laboratory without specialized equipment.
Military Cyber Operations: A Primer

Military Cyber Operations (MCO) is an umbrella term for the acquisition and use of cyber capabilities at the strategic, operational, and tactical levels of conflict. MCO is not the same as “cyber war. ” Cyber war, as usually articulated, focuses on two (or more) combatants exclusively deploying malicious cyber capabilities against the other side’s systems, resulting in death and destruction, in order to achieve a set of explicit political goals. This formulation, however, ignores both existing U.S. military doctrine and the manner in which modern forces actually deploy such capabilities. In fact, there are potentially good reasons to think that cyber war, when properly defined, won’t actually take place or may constitute an ineffective policy tool.
Comparative in vitro activity of piperacillin-tazobactam and temocillin against third-generation cephalosporin-resistant, carbapenem-susceptible Escherichia coli and Klebsiella pneumoniae

Carbapenems are considered the drugs of choice for first-line treatment of severe infections caused by carbapenem-susceptible, extended-spectrum β-lactamases (ESBL)-producing Enterobacterales, while piperacillin-tazobactam has been recommended as an alternative for treatment of non-severe infections. Temocillin is stable to ESBL and AmpC enzymes and may thus represent another treatment option. This study assessed the in vitro activity of piperacillin-tazobactam and temocillin against third-generation cephalosporin (3GC)-resistant Escherichia coli and Klebsiella pneumoniae, as compared to 3GC-susceptible isolates of either species. One hundred and nine isolates from hospitalized patients with bloodstream and urinary tract infections were tested. All isolates were collected during the resistance surveillance study of the Paul-Ehrlich-Society for Chemotherapy in 2016/17. Minimum inhibitory concentrations (MICs) were determined by broth microdilution according to the standard ISO 20776-1 and interpreted using EUCAST clinical breakpoints (version 11.0). Seventy-nine isolates (E. coli, n=58; K. pneumoniae, n=21) were 3GC-resistant and 30 (E. coli, n=15; K. pneumoniae, n=15) were 3GC-susceptible. Susceptibility to piperacillin-tazobactam was detected in 93.3% of 3GC-susceptible isolates (for both E. coli and K. pneumoniae) and in 79.3% and 57.1% of the 3GC-resistant E. coli and K. pneumoniae, respectively. In contrast, 3GC-susceptible isolates were 100% susceptible to temocillin as were 94.8% and 90.5% of the 3GC-resistant E. coli and K. pneumoniae, respectively. In conclusion, temocillin demonstrated potent in vitro activity against carbapenem-susceptible, 3GC-resistant E. coli and K. pneumoniae from bloodstream and urinary tract infection samples, with susceptibility rates exceeding those of piperacillin-tazobactam.
全血EB病毒DNA载量对异基因造血干细胞移植后淋巴增殖性疾病的诊断价值

目的 探讨全血定量PCR法检测EB病毒（EBV）DNA载量对于异基因造血干细胞移植（allo-HSCT）后淋巴增殖性疾病（PTLD）的诊断价值。 方法 对2004年4月至2019年4月于北京大学第一医院血液科行allo-HSCT的694例血液病患者进行回顾性分析。 结果 ①694例allo-HSCT患者中29例（4.2％）发生PTLD，其中男22例，女7例，中位年龄22（1～52）岁，中位发病时间为移植后2. 1（0.8～20.6）个月。 ②单因素分析显示年龄<30岁、再生障碍性贫血、HLA配型不合、预处理方案中含有ATG、EBV再活化是PTLD发生的危险因素，多因素分析显示EBV再活化为PTLD发生的独立危险因素。 ③对于EBV再活化病例进一步分析发现PTLD组中位EBV-DNA载量峰值明显高于非PTLD组（P<0.001），且随EBV-DNA拷贝增高PTLD发生率有增高的趋势。 ROC曲线分析提示当EBV-DNA载量>1.19×106拷贝/ml时诊断PTLD的可能性较大（灵敏度为0.800，特异度为0. 768）。 ④全部PTLD病例均接受以利妥昔单抗为基础的治疗，总反应率为86. 2％，总生存率为54. 3％。 结论 allo-HSCT后PTLD的发生与EBV再活化高度相关，EBV-DNA载量越高发生PTLD的风险越大，动态监测EBV-DNA载量对预测PTLD发生有重要作用。
Nucleolar GTPase Bms1 displaces Ttf1 from RFB-sites to balance progression of rDNA transcription and replication

Abstract 18S, 5.8S, and 28S ribosomal RNAs (rRNAs) are cotranscribed as a pre-ribosomal RNA (pre-rRNA) from the rDNA by RNA polymerase I whose activity is vigorous during the S-phase, leading to a conflict with rDNA replication. This conflict is resolved partly by replication-fork-barrier (RFB)-sites sequences located downstream of the rDNA and RFB-binding proteins such as Ttf1. However, how Ttf1 is displaced from RFB-sites to allow replication fork progression remains elusive. Here, we reported that loss-of-function of Bms1l, a nucleolar GTPase, upregulates rDNA transcription, causes replication-fork stall, and arrests cell cycle at the S-to-G2 transition; however, the G1-to-S transition is constitutively active characterized by persisting DNA synthesis. Concomitantly, ubf, tif-IA, and taf1b marking rDNA transcription, Chk2, Rad51, and p53 marking DNA-damage response, and Rpa2, PCNA, Fen1, and Ttf1 marking replication fork stall are all highly elevated in bms1l mutants. We found that Bms1 interacts with Ttf1 in addition to Rc1l. Finally, we identified RFB-sites for zebrafish Ttf1 through chromatin immunoprecipitation sequencing and showed that Bms1 disassociates the Ttf1‒RFB complex with its GTPase activity. We propose that Bms1 functions to balance rDNA transcription and replication at the S-phase through interaction with Rcl1 and Ttf1, respectively. TTF1 and Bms1 together might impose an S-phase checkpoint at the rDNA loci.
Improved Sobriety Rates After Brain-Computer Interface-Based Cognitive Remediation Training

Up to 80% of individuals seeking treatment fail in their attempts at sobriety. This study investigated whether 1) a cognitive remediation therapy (CRT) program augmented with a brain-computer interface (BCI) to influence brain performance metrics would increase participants' self-agency by restoring cognitive control performance; and 2) that ability increase would produce increased sobriety rates, greater than published treatment rates. The study employed a retrospective chart review structured to replicate a switching replication methodology (i.e., waitlist group) using a pre-test and post-test profile analysis quasi-experimental design. Participants' records were organized into treatment and non-treatment groups. Adult poly-substance users were recruited from alcohol and other drugs (AOD) use outpatient programs and AOD use treatment centers in the United States. Participants volunteered for pre- and post-testing without treatment (n = 121) or chose to enter the treatment program (n = 200). The treatment group engaged in a 48-session BCI/CRT augmented treatment program. Pre- and post-treatment measures comprised 14 areas from the Woodcock-Johnson Cognitive Abilities III Assessment Battery. An 18-month follow-up assessment measured maintenance of sobriety. After testing the difference for all variables across time between test groups, a significant multivariate effect was found. In addition, at 18 months post-treatment, 89% of the treatment group maintained sobriety, compared to 31% of the non-treatment group. Consistent with addiction neurobehavioral imbalance models, traditional treatment programs augmented with BCI/CRT training, focused on improving cognitive control abilities, may strengthen self-control and improve sobriety rates.
Exacerbation of Thrombotic Responses to Silver Nanoparticles in Hypertensive Mouse Model

With advent of nanotechnology, silver nanoparticles, AgNPs owing majorly to their antibacterial properties, are used widely in food industry and biomedical applications implying human exposure by various routes including inhalation. Several reports have suggested AgNPs induced pathophysiological effects in a cardiovascular system. However, cardiovascular diseases such as hypertension may interfere with AgNPs-induced response, yet majority of them are understudied. The aim of this work was to evaluate the thrombotic complications in response to polyethylene glycol- (PEG-) coated AgNPs using an experimental hypertensive (HT) mouse model. Saline (control) or PEG-AgNPs (0.5 mg/kg) were intratracheally (i.t.) instilled four times, i.e., on days 7, 14, 21, and 28 post-angiotensin II-induced HT, or vehicle (saline) infusion. On day 29, various parameters were assessed including thrombosis in pial arterioles and venules, platelet aggregation in whole blood in vitro, plasma markers of coagulation, and fibrinolysis and systemic oxidative stress. Pulmonary exposure to PEG-AgNPs in HT mice induced an aggravation of in vivo thrombosis in pial arterioles and venules compared to normotensive (NT) mice exposed to PEG-AgNPs or HT mice given saline. The prothrombin time, activated partial thromboplastin time, and platelet aggregation in vitro were exacerbated after exposure to PEG-AgNPs in HT mice compared with either NT mice exposed to nanoparticles or HT mice exposed to saline. Elevated concentrations of fibrinogen, plasminogen activator inhibitor-1, and von Willebrand factor were seen after the exposure to PEG-AgNPs in HT mice compared with either PEG-AgNPs exposed NT mice or HT mice given with saline. Likewise, the plasma levels of superoxide dismutase and nitric oxide were augmented by PEG-AgNPs in HT mice compared with either NT mice exposed to nanoparticles or HT mice exposed to saline. Collectively, these results demonstrate that PEG-AgNPs can potentially exacerbate the in vivo and in vitro procoagulatory and oxidative stress effect in HT mice and suggest that population with hypertension are at higher risk of the toxicity of PEG-AgNPs.