Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating and Improving Model-Based Assessment of Contextual Data Quality in Smart Grids

Data science has great potential in smart grids, but applying it must not compromise dependability—thus requiring high-quality data. Ideally, quality is ensured in early development stages. To enable this, we propose using architecture models for data quality assessment. The study focuses on a domain-specific language based on the Smart Grid Architecture Model and models created with it. The first goal is to evaluate how suitable such models are for assessing contextual data quality—the data’s fitness for use. We discovered the assessability is mainly limited by the modeling language not facilitating standards-independent data definition. Consequently, we set out to improve the language. We arrived at three proposed modifications using a case study–based design-science approach: including an element for generic data definition, separating data and information, and adding attributes to data flows. Our research demonstrates the feasibility of model-based data quality assessment and takes a step towards integrating data science into smart-grid architecture.
Distributed Timed Elastic Band (DTEB) Planner: Trajectory Sharing and Collision Prediction for Multi-Robot Systems

Autonomous navigation of mobile robots is a well-studied problem in robotics. However, the navigation task becomes challenging when multi-robot systems have to cooperatively navigate dynamic environments with deadlock-prone layouts. We present a Distributed Timed Elastic Band (DTEB) Planner that combines Prioritized Planning with the online TEB trajectory Planner, in order to extend the capabilities of the latter to multi-robot systems. The proposed planner is able to reactively avoid imminent collisions as well as predictively resolve potential deadlocks among a team of robots, while navigating in a complex environment. The results of our simulation demonstrate the reliable performance and the versatility of the planner in different environment settings. The code and tests for our approach are available online.
Basidiodendron yunnanense (Auriculariales), a New Species from Southern China Based on Morphological and Molecular Evidence

A wood-decaying fungal species, Basidiodendron yunnanense Z.Y. Duan & C.L. Zhao sp. nova (Auriculariales) from the Yunnan-Guizhou Plateau, China, is described based on morphological and molecular evidence. Basidiodendron yunnanense has effused, monomitic basidiomata, clamped hyphae, abundant gloeocystidia and broadly ellipsoid or subglobose basidiospores (5–6.5 × 4.5–6 µm). According to a phylogenetic analysis based on ITS region sequences, as well as according to maximum likelihood analysis, maximum parsimony and Bayesian inference B. yunnanense is sister to B. luteogriseum in a monophyletic clade sister to a clade formed of B. alni and B. eyrei.
SISTEM PAKAR DIAGNOSA PENYAKIT ALERGI PADA ANAK BERBASIS WEB DENGAN METODE FORWARD CHAINING DI KOTA BATAM

The need for information systems is a very important requirement for running business processes. As the development of technology is very necessary when an information technology really supports the information systems required form. Kano method can be used to determine the need for patient information systems. With the process of the Kano method used is based on the need for information systems. because the method aims to mengatagorikan canoe will need attribute information systems. ignorance of the service attributes can cause a negative for the company services. It therefore requires an information system that can meet the needs of patient information so users of patient information is needed to support the company's performance
A bivalent SARS-CoV-2 monoclonal antibody combination does not impact the immunogenicity of a vector-based COVID-19 vaccine in macaques

Human monoclonal antibodies (mAbs) that target the spike glycoprotein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) offer a promising approach for the prevention and treatment of coronavirus disease 2019 (COVID-19). Given suboptimal global vaccination rates, waning immunity in vaccinated individuals, and the emergence of SARS-CoV-2 variants of concern, the use of mAbs for COVID-19 prevention may increase and may need to be administered together with vaccines in certain settings. However, it is unknown whether administration of mAbs will affect the immunogenicity of SARS-CoV-2 vaccines. Using an adenovirus vector–based SARS-CoV-2 vaccine, we show that simultaneous administration of the vaccine with SARS-CoV-2 mAbs does not diminish vaccine-induced humoral or cellular immunity in cynomolgus macaques. These results suggest that SARS-CoV-2 mAbs and viral vector-based SARS-CoV-2 vaccines can be administered together without loss of potency of either product. Additional studies will be required to evaluate coadministration of mAbs with other vaccine platforms. Description A human SARS-CoV-2 monoclonal antibody cocktail can be coadministered with a SARS-CoV-2 viral vector–based vaccine. Combinations for COVID-19 Vaccines and monoclonal antibody (mAb) therapeutics are now mainstays for combating the COVID-19 pandemic. However, it is not clear whether administering vaccines and mAbs at the same time or one shortly after the other affects the efficacy of the vaccine. Here, Nkolola and colleagues simultaneously administered an adenovirus-based SARS-CoV-2 vaccine and a SARS-CoV-2–specific mAb cocktail to nonhuman primates. They found that simultaneous administration of the mAb cocktail with the vaccine did not impair vaccine-induced humoral or cellular immunity in the animals, suggesting that administration of these treatments at the same time would not impair vaccine efficacy in humans.
Production planning based on mathematics methods and software technology

Production planning can help companies reduce the production costs and increate the benefits. But it is very difficult engineering problem. The production problem of a manufacturer group is described and analyzed. Then its production planning mathematics models are set up. The production planning problem is converted into transportation problem, and it is imbalance in production and marketing. After it is analyzed and excess production capacity is considered, the imbalance transportation problem is converted into standard transportation problem. Then several mathematics methods and software tools are adopted to solve it. Finally the optimal solution is obtained after much alternation and calculation. The best production scheme with minimum total cost of production is formulated for the manufacturer group, accordingly a lot of cost is reduced for the group
Comparative Transcriptome Profiling Provides Insights into Plant Salt Tolerance in Watermelon (Citrullus lanatus)

Salt stress seriously reduced the yield and quality of watermelon and restricted the sustainable development of the watermelon industry. However, the molecular mechanism of watermelon in response to salt stress is still unclear. In this study, 150 mmol·L−1 NaCl was used to deal with the seedlings of salt-tolerant and salt-sensitive watermelon varieties. Physiological characteristics showed that salt stress significantly reduced the biomass of watermelon seedlings and the accumulation of K+ in roots and leaves and significantly increased the content of Na+, Cl−, and malondialdehyde (MDA). Compared with the salt-sensitive variety, the salt-tolerant variety had higher K+ accumulation, lower Cl−, Cl− accumulation, and MDA content in roots and leaves. Then, RNA-seq was performed on roots and leaves in normal culture and under 150 mmol·L−1 NaCl treatment. A total of 21,069 genes were identified by RNA-seq analysis, of which 1412 were genes encoding transcription factors (TFs). In the comparison groups of roots and leaves, 122 and 123 shared differentially expressed genes (DEGs) were obtained, respectively. Gene ontology (GO) annotation and KEGG enrichment results showed that there were many identical GO terms and KEGG pathways in roots and leaves, especially the pathways that related to sugar or energy (ATP or NADP+/NADPH). In addition, some DEGs related to salt tolerance were identified, such as plant hormone indole-3-acetic acid (IAA) and gibberellin (GA) signal transduction pathway-related genes, K+/Na+/Ca2+-related genes, lignin biosynthesis-related genes, etc. At the same time, we also identified some TFs related to salt tolerance, such as AP2-EREBP, bZIP, bHLH, MYB, NAC, OFP, TCP, and WRKY and found that these TFs had high correlation coefficients with salt tolerance-related genes, indicating that they might have a potential regulatory relationship. Interestingly, one TCP TF (Cla97C09G174040) co-exists both in roots and leaves, and it is speculated that it may be regulated by miR319 to improve the salt tolerance of watermelon.
Virtual, bilingual English-Spanish community nutrition and exercise classes: Barriers and opportunities

Objective: Regular exercise and healthy eating are important contributors to a person’s overall health and well-being. To enhance community health, Keck School of Medicine of the University of Southern California medical students have been leading in-person nutrition, cooking and exercise classes for community members at the Los Angeles County Wellness Center. In September 2020, due to the COVID-19 pandemic, students pivoted to teaching through a virtual platform. In this study, we evaluated community participants’ experiences attending virtual, bilingual nutrition, cooking and exercise classes; the efficacy of virtual classes in providing education; participants’ preference for virtual versus in-person classes; and potential advantages and disadvantages of the virtual versus in-person formats. Design: Cross-sectional study design. Setting: Following 22 virtual classes between September 2020 and April 2021, participants completed an online Qualtrics survey. Methods: Quantitative data were descriptively analysed within Qualtrics using the Sign test. Qualitative free response data were analysed by coding responses for common themes using an inductive approach. Results: There were 326 responses from 130 unique participants. Satisfaction was high for nutrition and exercise classes (99%), and 98% of participants reported they would make healthy nutrition and exercise behaviour changes. Participants preferred online classes compared to in-person classes (p = .0008). Barriers to attending in-person classes included lack of childcare, transport issues and COVID-19 risk. Conclusion: Virtual classes were well-received and effective. Virtual classes circumvented some of the barriers to in-person class attendance, and many participants preferred virtual classes to in-person classes.
Hyperelastic or Hypoelastic Granular Circular Chain Instability in a Geometrically Exact Framework

: This paper investigates several granular interaction laws used in the modeling of discrete granular media. In the considered model, each grain interacts with its neighbors with a coupled shear-normal interaction law. The analysis is performed in a geometrically exact framework allowing large rotation and displacement evolutions, without any geometrical approximations. It is shown that most of the granular interaction laws available in the literature are classified as hypoelastic interaction laws, and we precise the requirements to build some hyperelastic interaction laws that avoid artificial dissipation. We also show that the uncoupled granular interaction law is hyperelastic for all the studied models. The analysis is applied to a paradigmatic elementary system of a granular loop with a diamond pattern (a four-grain cyclic granular chain) loaded by concentrated forces. Instabilities are observed for large displacement of the diamond chain for all the classified models. It is observed that the discrepancies between each model may grow during the deformation process. The instability phenomenon is associated with the appearance of a limit load for this granular structural problem due to large nonlinear geometrical effects. Blocking phenomena may also appear for such granular structural systems due to secondary granular contacts. DOI: 10.1061/(ASCE)EM.1943-7889.0002139. © 2022 American Society of Civil Engineers.
Navigating Personal and Professional Development Through Social Media in Ophthalmology

Background Although social media use among physicians skyrocketed during the COVID-19 pandemic, its role for networking, mentorship, and support among ophthalmologists remains unknown. The objective of this study was to elucidate how ophthalmologists use social media for navigating challenges related to personal and professional development. Methods This was a cross-sectional survey study conducted during the height of the COVID-19 pandemic. A 40-item questionnaire investigating the usage of social media was developed and distributed to active social media users in ophthalmology including trainees and practitioners from November 2020 to December 2020 via social media channels. Quantitative responses were analyzed using descriptive and basic statistics, while a thematic analysis was conducted to examine the qualitative responses. Results One hundred and forty-nine respondents (67% women) completed the survey, with 56% of participants between the ages of 25–35 years old. Women were more likely to report experiencing workplace discrimination (p < 0.005) and work-life imbalance (p < 0.05) compared to men, and social media was found to be useful in addressing those challenges in addition to parenting and mentorship (p < 0.005 and p < 0.001, respectively). Compared to their older counterparts, younger ophthalmologists (<45 years old) cited more challenges with practice management (p < 0.005) and turned to social media for corresponding guidance (p < 0.05). Compared to late career ophthalmologists, trainees were more likely to report difficulties with career development (p < 0.05), practice management (p < 0.0001), and financial planning (p < 0.05), and found social media beneficial for learning financial literacy (p < 0.05). A qualitative analysis of the free-response texts found both positive and negative viewpoints of social media use in ophthalmology. Conclusion Social media is an invaluable tool for enhancing professional and personal growth for ophthalmologists, particularly for women, trainees, and younger surgeons through education and community-building. Future directions include exploring how social media can be used to improve mentorship, outreach, and training in ophthalmology.
Investigation into the viability of the properties of porous glass-ceramics produced from granite dust and maize cob for use in thermal insulation of external walls of residential buildings

Given the enormous need for cost-effective wall insulation materials in the developing countries and Nigeria specifically, this study, explores the viability of porous glass-ceramics production from granite dust and maize cob using one-step sintering technology. The chemical compositions of the locally sourced materials used including granite dust, ball clay and maize cob were obtained using XRF. 300µm of granite dust and ball clay as well as 425µm of maize cob powder were used. Different amount of granite dust and maize cob powder were mixed with constant amount of a mixture of NaOH and Na2SiO3 in three different groupings to formulate the porous glass-ceramics samples. The formulated samples were uniaxially pressed at 10MPa and sintered in a gas kiln at 850oC for 3 hours. The sintered samples were subjected to experimental tests. The results showed water absorption, apparent porosity, bulk density, compressive strength and thermal conductivity of 25.6%–46.7%, 43.5%–75%, 1.45g/cm3 –1.9g/cm3, 0.7MPa–9.7MPa and 0.11W/m.K–0.53W/m.K respectively. The mineralogical properties of the sintered samples were obtained using XRD. The results indicated a viable material for use in thermal insulation of residential buildings.
SBP-0636457, a Novel Smac Mimetic, Cooperates with Doxorubicin to Induce Necroptosis in Breast Cancer Cells during Apoptosis Blockage

Breast cancer (BC) is a common health concern worldwide. Doxorubicin (Dox) is a widely used chemotherapeutic agent to treat various cancers, including BC. However, drug resistance and severe side effects often hinder the clinical application of Dox. Combination therapy is an effective potent strategy to increase chemosensitivity and reduce the adverse effects. Smac is a proapoptotic protein that interacts with inhibitors of apoptosis proteins (IAPs) and thereby promotes cell death. Smac mimetic compounds can mimic its function and can be used to kill cancer cells. In this study, Dox and SBP-0636457, a novel Smac mimetic, were found to have cooperative effects in inducing BC cell death. Dox and SBP-0636457 cotreatment induced necroptosis instead of apoptosis in BC cells. Receptor-interacting serine/threonine-protein kinase 1 or mixed-lineage kinase domain-like silencing could attenuate cell death caused by Dox/SBP-0636457 in BC cells. In addition, this combined treatment caused synergistic induction of TNFα, and TNFα/TNFR signalling is essential for cell death induced by Dox/SBP-0636457 in BC cells. Moreover, both canonical and noncanonical nuclear factor kappa B pathways were found to contribute to TNFα upregulation induced by Dox/SBP-0636457. Therefore, the findings suggest that SBP-0636457 combined with Dox is an alternative strategy for treating BC.
The Wavejoints: A Novel Methodology to Design Soft-Rigid Grippers Made by Monolithic 3D Printed Fingers with Adjustable Joint Stiffness

In this paper, we present a methodology to design soft-rigid grippers able to perform different manipulation tasks. The main idea is the introduction of wave-shaped hinges whose geometrical parameters can be designed to achieve different three-dimensional impedance characteristics. This allows one to use the same tendon-driven actuation to perform different tasks including grasping objects with different shapes and in-hand manipulation of small objects. We report all design procedures and an experimental evaluation of two different prototypes exploiting two possible tasks, the first one is designed to grasp objects adapting to different shapes and dimensions, the second one performs an in-hand manipulation task consisting in object rotation with respect to an axis perpendicular to hand palm, resembling a “screw” movement. Obtained results confirm the feasibility and potentialities of the proposed methodology, that can be applied to obtain 3D printed monolithic fingers able to move in predefined directions when activated through a tendon-driven system, paving the way toward a new task-specific realization of compliant grippers.
Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data

Autonomous vehicle-based traffic smoothing con-trollers are often not transferred to real-world use due to challenges in calibrating many-agent traffic simulators. We show a pipeline to sidestep such calibration issues by collecting trajectory data and learning controllers directly from trajectory data that are then deployed zero-shot onto the highway. We construct a dataset of 772.3 kilometers of recorded drives on the I–24. We then construct a simple simulator using the recorded drives as the lead vehicle in front of a simulated platoon consisting of one autonomous vehicle and five human followers. Using policy-gradient methods with an asymmetric critic to learn the controller, we show that we are able to improve average MPG by 11% in simulation on congested trajectories. We deploy this controller to a mixed platoon of 4 autonomous Toyota RAV-4's and 7 human drivers in a validation experiment and demonstrate that the expected time-gap of the controller is maintained in the real world test. Finally, we release the driving dataset [1], the simulator, and the trained controller at https://github.com/nathanlct/trajectory-training-icra.
Crossmodal Transformer Based Generative Framework for Pedestrian Trajectory Prediction

Providing guidance about collision avoidance, pedestrian trajectory prediction is an important task for autonomous driving. In this paper, to produce plausible trajectory predictions in the first-person view circumstance, we propose a crossmodal transformer based generative framework which could leverage sequences of cues from multiple modalities as well as pedestrian attributes. For the encoder, crossmodal transformers are exploited during the past stage to explore the cross-relation features of four modality-modality pairs, which are then fused with the help of a branch assigning operation and a modality attention module. For the decoder, we employ a bézier curve interpolation based method to project encoder features into trajectory results. Our training process not only considers the pedestrian's intention of crossing road but also optimizes our model to achieve more accurate predictions at the terminal time steps. Experimental results demonstrate that our framework outperforms state-of-the-art methods on both JAAD and PIE datasets. Especially, compared with the best baseline, our method could achieve 15.1%/14.3% and 14.3%/22.2% improvement for deterministic/multimodal prediction in the metric of box center final displacement error on JAAD and PIE, respectively.
Analysis of gap acceptance in a saturated two-lane roundabout and implementation of critical gaps in VISSIM

This thesis overview the gap acceptance behaviour in a saturated two-lane roundabout and the implementation of local measured critical gap times into microscopic simulation. The purpose is to measure the critical gaps in a saturated two-lane roundabout to investigate how gap acceptance differs between entering vehicles depending on desired direction and position of circulating vehicles. An additional purpose is to implement the measured critical gap times into the traffic simulation software VISSIM and compare the simulated results with results given by VISSIM default values. The thesis includes a literature study on subjects related to micro simulation and gap acceptance of two-lane roundabouts. The used data was collected in a field study of the saturated two-lane roundabout Spillepengen in Malmoe, Sweden. VISSIM was used to build and run two microscopic simulation models to test different values of critical gaps. Conclusion is that there is a significant difference in gap acceptance depending on desired direction and position of circulating vehicles. Another conclusion is that the default values for minimum gap in VISSIM generate the same result as the implemented measured values from the field study. The results also show that the headway distribution of the circulating flow is of great importance to simulate a correct entry capacity. Citation: Johan Irvenå & Simon Randahl, Analysis of gap acceptance in a saturated two-lane roundabout and implementation of critical gaps in VISSIM, Lunds Tekniska Högskola, Institutionen för Teknik och samhälle. Trafik och väg 2010. Thesis. 194 Examensarbete CODEN:LUTVDG/(TVTT-5161/1-84 / 2010 Trafik och väg Institutionen för Teknik och samhälle Lunds Tekniska Högskola, LTH Lunds Universitet Box 118, 221 00 LUND Traffic and Roads Department of Technology and Society Faculty of Engineering, LTH Lund University Box 118, SE-221 00 Lund, Sweden I Preface This thesis was done at the Department of Technology and Society at Lund Institute of Technology, Lund University. The work was mostly carried out during the autumn of 2009 and completed in January 2010. The authors would like to thank Jonas Andersson at Tyréns AB for initiating the thesis and for the heads up in VISSIM simulation. Thank also to the Tyréns AB office in Helsingborg for supplying workplace and VISSIM software. An additional thank to Thomas Jonsson at the Department of Technology and Society who provided necessary help with the camera equipment used in the field study. Last but not least the authors would like to thank their supervisor at the Department of Technology and Society Zsuzsanna Toth-Szabo for your advices, necessary help and everlasting good mood.