Miracle-dz/UniFAR-FTUs huggingface dataset:
The Lysine Demethylases KdmA and KdmB Differently Regulate Asexual Development, Stress Response, and Virulence in Aspergillus fumigatus

Histone demethylases govern diverse cellular processes, including growth, development, and secondary metabolism. In the present study, we investigated the functions of two lysine demethylases, KdmA and KdmB, in the opportunistic human pathogenic fungus Aspergillus fumigatus. Experiments with mutants harboring deletions of genes encoding KdmA (ΔkdmA) and KdmB (ΔkdmB) showed that KdmA is necessary for normal growth and proper conidiation, whereas KdmB negatively regulates vegetative growth and conidiation. In both mutant strains, tolerance to H2O2 was significantly decreased, and the activities of both conidia-specific catalase (CatA) and mycelia-specific catalase (Cat1) were decreased. Both mutants had significantly increased sensitivity to the guanine nucleotide synthesis inhibitor 6-azauracil (6AU). The ΔkdmA mutant produced more gliotoxin (GT), but the virulence was not changed significantly in immunocompromised mice. In contrast, the production of GT and virulence were markedly reduced by the loss of kdmB. Comparative transcriptomic analyses revealed that the expression levels of developmental process-related genes and antioxidant activity-related genes were downregulated in both mutants. Taken together, we concluded that KdmA and KdmB have opposite roles in vegetative growth, asexual sporulation, and GT production. However, the two proteins were equally important for the development of resistance to 6AU.
Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study

Atrial fibrillation (AF) is a common cardiac arrhythmia and affects one to two percent of the population. In this work, we leverage the three-dimensional atrial endocardial unipolar/bipolar voltage map to predict the AF type and recurrence of AF in 1 year. This problem is challenging for two reasons: (1) the unipolar/bipolar voltages are collected at different locations on the endocardium and the shapes of the endocardium vary widely in different patients, and thus the unipolar/bipolar voltage maps need aligning to the same coordinate; (2) the collected dataset size is very limited. To address these issues, we exploit a pretrained 3D point cloud registration approach and finetune it on left atrial voltage maps to learn the geometric feature and align all voltage maps into the same coordinate. After alignment, we feed the unipolar/bipolar voltages from the registered points into a multilayer perceptron (MLP) classifier to predict whether patients have paroxysmal or persistent AF, and the risk of recurrence of AF in 1 year for patients in sinus rhythm. The experiment shows our method classifies the type and recurrence of AF effectively.
Highly Efficient Adsorption of Heavy Metals and Cationic Dyes by Smart Functionalized Sodium Alginate Hydrogels

In this paper, functionalized sodium alginate hydrogel (FSAH) was prepared to efficiently adsorb heavy metals and dyes. Hydrazide-functionalized sodium alginate (SA) prepared hydrazone groups to selectively capture heavy metals (Pb2+, Cd2+, and Cu2+), and another functional group (dopamine grafting), serves as sites for adsorption methylene blue (MB), malachite green (MG), crystal violet (CV). Thermodynamic parameters of adsorption indicated that the adsorption process is endothermic and spontaneous. The heavy metals adsorption by FSAH was physical adsorption mainly due to ΔHθ < 40 kJ/mol, and the adsorption of cationic dyes fitted with the Langmuir models, which indicated that the monolayer adsorption is dominated by hydrogen bonds, electrostatic interactions, and π-π interactions. Moreover, the adsorption efficiency maintained above 70% after five adsorption-desorption cycles. To sum up, FSAH has great application prospect.
Acute Pericoronitis and its Effect on Health Related Quality of Life: Systemic Review

Background: Pericoronitis is inflammation of the tissue surrounding partially erpted tooth (most common lowerthird molar). This study aimed to evaluate the effects of acute pericoronitis on quality of life (QoL), in terms of oral health and lifestyle. Aim of Study: The aim of this study was to assess the changes in perception of quality of life of patients with acute pericoronitis. Material and Methods: A systematic search was performed in PubMed, Google Scholar, Embase, the Cochrane library, and Web of Science, for studies that investigated on quality of life (QoL) in patients with symptomatic pericoronitis.After extracting data, the pooled sensitivity, specificity, constructed summary receiver operating characteristics curve and positive likelihood ratio were estimated. 1436 abstracts were reviewed after duplication removal and subsequently the full text of the 110 articles was obtained according to the inclusion criteria. Results: 11 studies were considered eligible after fulltext review. Subgroup analysis was used to go further into the source of heterogeneity. The results revealed that there was significant improvement in homogeneity in subgroups classified by state, p-value, imaging techniques, and other factors (Chl 2 =91.21, p=<0.00001), I 2 =89%), according to the subgroup analysis. Conclusion: Pericoronitis pain had clinically significant associations with patients' lifestyle and tooth function. Symptomatic pericoronitis might have adverse implications, limiting quality of life and causing pain.
A contingency-based accountability and governance framework for the non-profit sector in the post-COVID-19 era

Purpose The COVID-19 global pandemic has caused significant disruptions to the non-profit sector, highlighting the issues that the narrowly focused, traditional conception of governance fails to address. The purpose of this paper is to propose a contingency-based framework with its theoretical underpinnings in the existing literature, in order to support future empirical research on non-profit governance and accountability practices. Design/methodology/approach From a theoretical perspective, this paper synthesizes relevant existing literature and proposes a contingency-based accountability and governance framework in the non-profit sector. This paper draws on Ostrower and Stone’s (2010) contingency-based framework on boards and Hyndman and McDonnell’s (2009) conception of governance systems. This paper engages with the New Zealand and Australia context while reviewing relevant literature and relevant regulations. Findings The global pandemic has caused severe worldwide disruptions both socially and economically. There have been dramatic changes to the ways in which non-profit organisations (NPOs) operate. There is an urgent need to understand how such changes in the external environment impact on NPOs’ governance and accountability practices. In this context, the contingency-based accountability and governance framework proposed in this paper has important implications for non-profit research, while opening up an avenue for future research in this field. Research limitations/implications This paper does not involve empirical analysis. Practical implications This paper contributes by facilitating better understanding on how external contingencies like the COVID-19 global pandemic affect the external and internal environment of an NPO, how they impact on stakeholders and their interplay with an NPO’s governance and accountability systems. It also suggests that regulators of the non-profit sector, umbrella support organisations, and funders proactively encourage and guide NPOs to embrace a wider scope of governance and strengthen the level of governance in the sector. Originality/value This paper contributes to the literature by proposing a contingency-based accountability and governance framework in the non-profit sector to support future research in this field. It also sheds light on competing theoretical debates relating to the conceptualisation and operationalization of accountability and governance.
Model-based recurrent neural network for redundancy resolution of manipulator with remote centre of motion constraints

Redundancy resolution is a critical issue to achieve accurate kinematic control for manipulators. End-effectors of manipulators can track desired paths well with suitable resolved joint variables. In some manipulation applications such as selecting insertion paths to thrill through a set of points, it requires the distal link of a manipulator to translate along such fixed point and then perform manipulation tasks. The point is known as remote centre of motion (RCM) to constrain motion planning and kinematic control of manipulators. Together with its end-effector finishing path tracking tasks, the redundancy resolution of a manipulators has to maintain RCM to produce reliable resolved joint angles. However, current existing redundancy resolution schemes on manipulators based on recurrent neural networks (RNNs) mainly are focusing on unrestricted motion without RCM constraints considered. In this paper, an RNN-based approach is proposed to solve the redundancy resolution issue with RCM constraints, developing a new general dynamic optimisation formulation containing the RCM constraints. Theoretical analysis shows the theoretical derivation and convergence of the proposed RNN for redundancy resolution of manipulators with RCM constraints. Simulation results further demonstrate the efficiency of the proposed method in end-effector path tracking control under RCM constraints based on an industrial redundant manipulator system.
Conformal Integration of Efficient Conductive-Ink-Printed Antennas in Smart Suitcases for LPWAN-Based Luggage Tracking

In the context of localization and sensing within the Internet of Things, new antenna manufacturing technologies, such as antennas printed with conductive inks on thin thermoplastic sheets, allow for seamless integration into plastic objects produced by an injection molding process. In this paper, we present printed sensor antennas for the [862–928] MHz band supporting LoRa and Sigfox and the [2.4–2.5] GHz band for WiFi, Bluetooth, and IEEE802.15. 4 communication. To integrate them into smart suitcases, the antennas are printed, overmolded, tested, and measured, following a dedicated conformal integration strategy consisting of two design iterations. Additionally, as a more convenient connection to the printed antennas, printed transmission lines along with a dedicated transition to printed circuit board technologies are implemented and characterized, avoiding rigid coaxial connectors that exhibit fragile mounting on flexible substrates. The overmolded stand-alone antennas achieve fractional impedance bandwidths of 26% and 15% covering the [862–928] MHz and [2.4–2.5] GHz bands, respectively, with a substantial margin and with in-band simulated total efficiencies of 94% and 88%, respectively. Finally, the seamless integration of two antennas into a smart suitcase for tracing via Sigfox and WiFi demonstrates the potential of the proposed technique to realize high-performance antennas occupying virtually no real estate.
Moricizine prevents atrial fibrillation by late sodium current inhibition in atrial myocytes

Background Enhanced late sodium current (INaL) is reportedly related to an increased risk of atrial fibrillation (AF). Moricizine, as a widely used anti-arrhythmia drug for suppressing ventricular tachycardia, has also been shown to prevent paroxysmal AF. However, the mechanism of its therapeutic effect remains poorly understood. Methods Angiotensin II (Ang II) was induced in C57Bl/6 mice (male wild-type) for 4 weeks to increase the susceptibility of AF, and acetylcholine-calcium chloride was used to induce AF. The whole-cell patch-clamp technique was used to detect INaL from isolated atrial myocytes. The expression of proteins in atrial of mice and HL-1 cells were examined by Western-blot. Results The results showed that moricizine significantly inhibited Ang II-mediated atrial enlargement and reduced AF vulnerability. We found that the densities of INaL were enhanced in Ang II-treated left and right atrial cardiomyocytes. Simultaneously, the Ang II-induced increase in INaL currents density was alleviated by the administration of moricizine, and no alteration in Nav1.5 expression was observed. In normal isolated atrial myocytes, moricizine significantly reduced Sea anemone toxin II (ATX II)-enhanced INaL density with a reduction of peak sodium currents. In addition, moricizine reduced the Ang II-induced upregulation of phosphorylated calcium/calmodulin-dependent protein kinase-II (p-CaMKII) in both the left and right atria. In HL-1 cells, moricizine also reduced the upregulation of p-CaMKII with Ang II and ATX II intervention, respectively. Conclusions Our results indicate that Ang II enhances the INaL via activation of CaMKII. Moricizine inhibits INaL and reduces CaMKII activation, which may be one of the mechanisms of moricizine suppression of AF.
Pemilihan Metode Predictive Analytics dengan Machine Learning untuk Analisis dan Strategi Peningkatan Kualitas Kredit Perbankan

As a factor that determines bank’s profitability, loan quality, that is categorized based on debtor’s collectability classification, always gets attention and become main analysis topic in banking industry. Through recent development of statistics and data science, especially in predictive analytics using machine learning techniques, more comprehensive analysis and prediction in loan quality can be conducted. This research is intended to give example on application of predictive analytics using machine learning technique for analysis and strategy recommendation in increasing bank’s loan quality improvement. In this research, some machine learning classification methods are compared to conduct predictive analytics in loan quality with big data size (big data analytics). Computation result of different methods are compared and summarized, resulted in recommendation on most appropriate method to achieve this research objective. This research concluded that for imbalanced big data size such as bank’s loan collectability, Tree Ensemble method, further development of Decision Tree method that is commonly used in machine learning, is one of appropriate methods to get satisfactory result in this research. Imbalanced data that can result in false positive may be overcame by oversampling Synthetic Minority Oversampling Technique (SMOTE). This research scope is limited to analysis and prediction of debtor’s collectability for the next several months, combined with analysis and strategy recommendations based on product type, gender, and debtor’s occupation. Further predictive analytics for the next several years by including external factors, such as economic growth, is not covered in this research and possible to be conducted. As machine learning application in Indonesian banking industry analysis is still in early phase, this research is expected to become one of reference in application of predictive analytics using machine learning in banking industry. Keywords: predictive analytics; machine learning; loan collectability; loan quality
Passive thermal management using phase change materials

Ganatra,Yash Yogesh M.S.M.E, Purdue University, December 2016. Passive Thermal Management using Phase Change Materials. Major Professor: Amy Marconnet, School of Mechanical Engineering. The trend of enhanced functionality and reducing thickness of mobile devices has led to a rapid increase in power density and a potential thermal bottleneck since thermal limits of components remain unchanged. Active cooling mechanisms are not feasible due to size, weight and cost constraints. This work explores the feasibility of a passive cooling system based on Phase Change Materials (PCMs) for thermal management of mobile devices. PCMs stabilize temperatures due to the latent heat of phase change thus increasing the operating time of the device before threshold temperatures are exceeded. The primary contribution of this work is the identification of key parameters which influence the design of a PCM based thermal management system from both the experiments and the numerical models. This work first identifies strategies for integrating PCMs in an electronic device. A detailed review of past research, including experimental techniques and computational models, yields key material properties and metrics to evaluate the performance of PCMs. Subsequently, a miniaturized version of a conventional thermal conductivity measurement technique is developed to characterize thermal resistance of PCMs. Further, latent heat and transition temperatures are also characterized for a wide range of PCMs. In-situ measurements with PCMs placed on the processor indicate that some PCMs can extend the operating time of the device by as much as a factor of 2.48 relative to baseline tests (with no PCMs). This increase in operating time is investigated by computational thermal models that explore various integration locations, both at the package and device level.
Is Time-Restricted Eating Safe in the Treatment of Type 2 Diabetes?—A Review of Intervention Studies

Time-restricted eating (TRE) has been shown to improve body weight and glucose metabolism in people at high risk of type 2 diabetes. However, the safety of TRE in the treatment of type 2 diabetes is unclear. We investigated the safety of TRE interventions in people with type 2 diabetes by identifying published and ongoing studies. Moreover, we identified the commonly used antidiabetic drugs and discussed the safety of TRE in people with type 2 diabetes considering the use of these drugs. In addition, we addressed the research needed before TRE can be recommended in the treatment of type 2 diabetes. A literature search was conducted to identify published (MEDLINE PubMed) and ongoing studies (ClinicalTrials.gov) on TRE in people with type 2 diabetes. To assess the usage of antidiabetic drugs and to discuss pharmacodynamics and pharmacokinetics in a TRE context, the most used antidiabetic drugs were identified and analysed. Statistics regarding sale of pharmaceuticals were obtained from MEDSTAT.DK which are based on data from the national Register of Medicinal Product Statistics, and from published studies on medication use in different countries. Four published studies investigating TRE in people with type 2 diabetes were identified as well as 14 ongoing studies. The completed studies suggested that TRE is safe among people with type 2 diabetes. Common antidiabetic drugs between 2010 and 2019 were metformin, insulin, dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, sulfonylureas, and sodium-glucose cotransporter-2 inhibitors. Existing studies suggest that TRE is not associated with major safety issues in people with type 2 diabetes as long as medication is monitored and adjusted. However, because of low generalisability of the few studies available, more studies are needed to make concrete recommendations regarding efficacy and safety of TRE in people with type 2 diabetes.
Geochemical and petrographic approach for the origin of the limestone blocks of thewalls of the Great Temple of Hattusha, Çorum (N-Turkey)

: The socle stones of the Great Temple in the Lower City of the Hittite capital city, Hattusha (Çorum Province) have been studied for the first time by petrographic and geochemical analysis (Sr isotope, stable isotope, and trace element geochemistry). Study objectives were to determine the carbonate facies of the stone samples used in the Great Temple and investigate their possible sources. Petrographic analysis of 10 limestone samples presents five clusters of different microfacies. Stable isotope (δ 13 C and δ 18 O) analysis displayed the presence of 5 groups in parallel with petrographic analysis. Trace element analysis of the same groups displayed considerable difference among the stone samples and 87 Sr/ 86 Sr isotope ratios change between 0.70697 and 0.706867. Based on the results, it can be stated that the building using stones are from probably five different sources. This is of great importance to better understand the construction process and the acquisition of the building materials.
Design in the Modern Age: Investigating the Role of Complexity in the Performance of Collaborative Engineering Design Teams

The world of engineering design finds itself at a crossroads. The technical and scientifically rooted tools that propelled humankind into the modern age are now insufficient as evidenced by a growing number of failures to meet design expectations and to deliver value for users and society in general. In the empirical world, a growing consensus amongst many design practitioners has emerged that engineering design efforts are becoming too unmanageable and too complex for existing design management systems and tools. One of the key difficulties of engineering design is the coordination and management of the underlying collaboration processes. Development efforts that focus on the design of complex artefacts, such as a satellite or information system, commonly require the interaction of hundreds to thousands of different disciplines. What makes these efforts and the related collaboration processes complex from the perspective of many practitioners is the strong degree of interdependency between design decision-making occurring, often concurrently, across multiple designers who commonly reside in different organizational settings. Not only must a design account for and satisfice these dependencies, but it must remain also acceptable to all design participants. Design in effect represents a coevolution between the problem definition and solution, with a finalized design approach arising not from a repeatable series of mathematical optimizations but rather through the collective socio-technical design activities of a large collaboration of designers. Despite the importance of understanding design as a socio-technical decision-making entity, many of the existing design approaches ignore socio-technical issues and often view them as either too imprecise or too difficult to consider. This research provides a performance measurement framework to explore these factors by investigating design as a sociotechnical complex adaptive collaborative process between the designer, artefact, and user (DAU). The research implements this framework through an agent-based model, the Complex Adaptive Performance Evaluation Method for Collaboration Design (CD). This approach allows a design management analyst to generate insights about potential design strategies and mechanisms as they relate to design complexity by examining the simulated performance of a design collaboration as it explores theoretical design fitness landscapes with various degrees of ruggedness.