Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Formation Control of Multi-Robot Systems with Path Navigation via Complex Laplacian

This paper focuses on the formation control of multi-robot systems with leader–follower network structure in directed topology to guide a system composed of multiple mobile robot agents to achieve global path navigation with a desired formation. A distributed linear formation control strategy based on the complex Laplacian matrix is employed, which enables the robot agents to converge into a similar formation of the desired formation, and the size and orientation of the formation are determined by the positions of two leaders. Additionally, in order to ensure that all robot agents in the formation move at a common velocity, the distributed control approach also includes a velocity consensus component. Based on the realization of similar formation control of a multi-robot system, the path navigation algorithm is combined with it to realize the global navigation of the system as a whole. Furthermore, a controller enabling the scalability of the formation size is introduced to enhance the overall maneuverability of the system in specific scenarios like narrow corridors. The simulation results demonstrate the feasibility of the proposed approach.
Laser Diode Drivers for Rep-Rated DELPHI Laser System

The Matter in Extreme Conditions Upgrade (MECU) project is a major upgrade to the MEC instrument on the Linac Coherent Light Source (LCLS) X-ray free electron laser (XFEL) user facility at SLAC National Accelerator Laboratory. The MEC instrument combines the XFEL with a high-power, short-pulse laser and high energy shock driver to produce and study high energy density plasmas and materials found in extreme environments such as the interior of stars and fusion reactors, providing the fundamental understanding needed for applications ranging from astronomy to fusion energy. Lawrence Livermore National Laboratory (LLNL) is developing a Dual-mode Energetic Laser for Plasma and High Intensity Science (DELPHI) to be installed in the upgraded MEC facility. DELPHI uses high-power diode arrays to pump >5 MW of total optical peak power into a helium gas-cooled Nd:glass main amplifier to produce 150 J pulses compressible to 150 fs at 10 Hz. Each diode array is composed of diode stacks that are driven by a single pulsed driver that contains the energy storage, drive circuitry, and arbitrary waveform control necessary to tailor the optical output of an individual diode stack. The diode drivers for DELPHI are an upgrade of the technology developed for the High rep-rate Advanced Petawatt Laser System (HAPLS) that LLNL deployed to the Extreme Light Infrastructure Beamlines (ELI-Beamlines) in the Czech Republic in 2018. The individual DELPHI pulsers are designed to operate up to 600 A at 125 V with a pulse width up to 400 $\mu s$ at 10 Hz and have extended capabilities for even higher-power applications. Conceptual design and capabilities of the pulsed power drivers will be presented.
DNA-Based Storage of RDF Graph Data: A Futuristic Approach to Data Analytics

Future data analytics will require enormous storage space for data-driven decisions, necessitating alternative storage sources for massive data archives. Storage solutions have always been in demand due to the limitations of existing media. Deoxyribonucleic Acid (DNA) is an emergent storage medium suitable for archival storage of rapidly increasing digital volumes. Due to its longevity, DNA storage technology has led to numerous applications to store and retrieve entire data. In this way, DNA synthesis and sequencing costs can be reduced by compressing data in full before it is stored. However, prior works have not used DNA storage to retrieve partial data from complex graphs, while taking advantage of cost-effective advanced analytics. In this paper, we present an efficient DNA-based query processing system to retrieve partial information using RDF graph data. Moreover, using binary search, we fetch and decode significantly fewer DNA strands to obtain partial information about RDF graph data based on SPARQL queries. Specifically, the experimental analysis shows that the average data retrieval per query as output is found less than 1% for RDF graphs with more than 1MB (Megabytes) in size, which consequently reduces a significant amount of sequencing costs.
Study on the ecological basic discharge in the section of Xining to Minhe of the main stream of Huangshui River

Huangshui is the river that the surface water use efficiency was the most high in Qinghai Province.Also in the section of Xining to Minhe in the main stream of Huangshui,the water pollution was one of the most serious in Qinhai Province.This paper adopted the Ledu and Minhe hydrological station for the control points,using the measured hydrological data and the historical analogy method,have primarily determined the ecological basic discharge was 4.55 m3/s for the section of Xining to Minhe.It will be supplied the real way for the management object of water resources sustainable development in middle and down stream of Huangshui with certain realistic significance.
Examining the Link between Isokinetic Strength Metrics and Ball Speed in Women’s Soccer

The shot performance of female soccer players is one of the most critical factors in winning a soccer match. It is essential to thoroughly clarify the kinetic factors that can improve shot performance. This study explores the connections between ball velocity post-shooting and isokinetic knee extension (EXT) and flexion (FLX) strength performances among female soccer players. Thirteen voluntary players from professional leagues took part in the research study. The study analyzed the average and peak concentric (Con) and eccentric (Ecc) torques, isometric (Iso) strength performances at angular velocities of 60°/s, 180°/s and 300°/s, the time required to reach peak torque, and ball velocities during shooting. The relationships among these variables were investigated separately for the dominant (D) and non-dominant (ND) legs. The analysis unveiled significant correlations between ball velocities and D-EXT (Absolute) peak torque at an angular velocity of 60°/s (r = 0.597; p < 0.05), D-%IPS (r = −0.580; p < 0.05), and ND-FLX (Absolute) average torque (r = 0.559; p < 0.05). Moreover, notable associations were observed between ball velocities and ND-EXT (Absolute) (r = 0.581; p < 0.05), as well as ND-FLX (Absolute) (r = 0.602; p < 0.05) average torques at an angular velocity of 180°/s. Additionally, significant relationships were found between ball velocities and peak (r = 0.664; p = 0.013) and average (r = 0.660; p = 0.014) torques generated during ND-EXT (Absolute) at an angular velocity of 300°/s. However, the connections between the time to reach peak torque, eccentric and isometric forces, and ball velocities were not statistically significant (p > 0.05). The results of the study indicate that enhancing concentric isokinetic strength development at 60°/s, 180°/s, and 300°/s angular velocities, along with balanced strengthening of the ND extremity, holds paramount importance in elevating shot performance among female soccer players, particularly in the context of rapid shot strategies.
Application of Fuzzy Deep Learning to Classify Images

The strengths of fuzzy logic and deep learning are combined in this paper to propose a hierarchical fused fuzzy deep neural network model for data classification. By combining linguistic expertise from fuzzy logic with learnt representations from deep neural networks, the suggested approach seeks to improve classification accuracy and interpretability. Input, fuzzy logic, feature extraction, fusion, and decision layers are just a few of the many layers that make up the model. Through linguistic variables, membership functions, and fuzzy rules, the fuzzy logic layer captures uncertainty and imprecision in the incoming data. In order to extract high-level representations from the data, the feature extraction layer makes use of deep neural networks. The learnt representations from the feature extraction layer are combined with the fuzzy inference outcomes from the fuzzy logic layer in the fusion layer. The combination of language and learnt elements is made possible by this fusion process, which results in a better representation of the input material. The final categorization is subsequently made by the decision layer using the combined data. The efficiency of the suggested model is demonstrated by tests performed on the CIFAR-10 dataset. Comparing the hierarchical fused fuzzy deep neural network to conventional methods and individual techniques, it provides enhanced classification accuracy. The model is capable of handling challenging and realistic classification tasks thanks to the integration of fuzzy logic with deep learning. The suggested model's mix of fuzzy logic with deep learning demonstrates excellent potential for tackling difficult issues in a variety of fields. The combined method improves accuracy, resilience, and interpretability, opening up new opportunities for the development of both artificial intelligence and data classification as a whole.
Evaluation of the Dieng Geothermal Field; Review of Development Strategy

Abstract The liquid-dominated system of the Dieng Geothermal Field in Central Java can be divided at least into three areas: the northwestern Sileri area, the central Sikidang-Merdada area, and the southeastern Pakuwaja area. A total of sixteen exploration and development wells have been drilled, with one well at Sileri, thirteen wells at Sikidang-Merdada, and two wells at Pakuwaja. Interpretations of existing gravity, magneto-telluric and well data reveal that the Sikidang-Merdada area is separated from Sileri and Pakuwaja by zones of low permeability and low temperature. These low permeability barriers show up on the geophysics as regions of gravity highs and conductivity lows. A fumarolic area with an associated gravity anomaly known as the Siglagah prospect occurs in east of Sileri and represents a target for future exploration. The total geothermal potential is estimated as 355 MW, of which 175 MW are located in Sikidang-Merdada. A 55 MW project is planned for Sikidang-Merdada to come on line in 1995/96. Modular units are recommended, consisting of 2×20 MW and 1×15 MW units. About ten megawatts of capacity currently exist at the wellhead and future development wells are expected to produce 55 tons/hr steam per well. The reservoir at Sikidang-Merdada consists of a dome-shaped steam zone overlying a brine reservoir with 2000–3000 ppm chloride and 0.5 to 1.6% non-condensible gas by weight. The reservoir temperature is as high as 320°C.
Wintering and migration strategies of Slavonian Grebes Podiceps auritus breeding in Iceland

ABSTRACT Capsule Slavonian Grebes Podiceps auritus breeding in Iceland moult on freshwater, before migrating to the seas around the British Isles for the winter. Aims The aims were to describe the migration strategies and identify wintering areas of Slavonian Grebes breeding in Iceland. Methods Geolocators were fitted to 37 Slavonian Grebes breeding on two lakes in north-east Iceland from 2009 to 2012. Of these, 19 were recovered and provided useful data on wintering areas and migration timing. Results The results indicated that the grebes moulted on freshwater lakes before gradually moving to the sea and later migrating to the wintering areas. Most of the birds wintered on the sea around the British Isles. However, there was surprisingly high variation in wintering strategies and little overlap of wintering areas. Grebes tracked for consecutive years showed high wintering philopatry. Conclusion Individual Slavonian Grebes may be vulnerable to local environmental conditions, but the high variability in wintering strategies and relatively large non-breeding distribution is expected to make the population generally less sensitive to local environmental conditions in the wintering areas over the long term.
Outcomes of cochlear implantation in 75 patients with auditory neuropathy

Background Cochlear implantation (CI) outcomes in patients with auditory neuropathy (AN) are variable, which hampers patients’ decisions on CI. Objective This study aims to assess the outcomes of CI in individuals diagnosed with AN and to examine the various factors that may influence the effectiveness of this intervention. Methods A total of 75 patients diagnosed with AN were included in the study. The hearing threshold, the score of categories of auditory performance (CAP), speech intelligibility rating (SIR), and speech audiometry were tested. Genetic testing was conducted by medical exome sequencing in 46 patients. Results After CI, the average aided hearing threshold for patients with prelingual and post-lingual onset was 38.25 ± 6.63 dB and 32.58 ± 9.26 dB, respectively; CAP score improved to 5.52 ± 1.64 (p < 0.001) and 6.00 ± 0.96 (p < 0.001), respectively; SIR score increased to 3.57 ± 1.22 (p < 0.001) and 4.15 ± 0.95 (p < 0.001), respectively. Maximum speech recognition ranged from 58 to 93% for prelingual onset patients and 43 to 98% for those with post-lingual onset. Speech outcomes of CI in cases with cochlear nerve (CN) deficiency were significantly poorer (p = 0.008). Molecular etiologies, including TWIST1, ACTG1, m.A7445G, and a copy-number variant (CNV) carrying ACTB, were related to AN here. Conclusion CI is a viable therapy option for patients with AN; CN deficiency might impact outcomes of CI.
Hunger, Food Sovereignty and COVID-19 Pandemic: Food Risks During Lockdown

Objective: This article focuses on describing the food scenario of families in Cali (Colombia), where almost half of the city’s population could not guarantee their access to adequate feeding during COVID-19 crisis. Methods: Involved 1. Analyze laws to understand their relationship with access to food in Cali during lockdown; and 2. Identify changes in the eating practices of families from different socioeconomic levels and the strategies used by the city’s public institutions during lockdown. Results: Feeding was not considered from the beginning of the lockdown, which generated a food crisis. Institutional responses were insufficient in quality and coverage, since feeding aid focused on calories and logistic aspects. The solutions implemented by households were guided by collective action and social organization around the community pots. Conclusion: The contrast between food security strategies (focused on availability and access) and food sovereignty (with an emphasis on the collective) shows the need for structural transformations in food policies and in the collective imagination that allow for designing new food models focused on community wellbeing and not on economic growth to future emergencies.
An overview and visual analysis of research on government regulation in healthcare

Objective During the period of COVID-19, government regulation (GR) played an important role in healthcare. This study examines the current research situation of GR in healthcare, discusses the research hotspots, the most productive authors and countries, and the most common journals, and analyzes the changes in GR in healthcare before and after the outbreak of COVID-19. Methods This study followed PRISMA guidelines to collect literature on GR in healthcare. And the VOSviewer software was used to perform a quantitative analysis of these documents to obtain a visual map, including year, country, institution, journal, author, and research topic. Results A total of 1,830 papers that involved 976 academic journals, 3,178 institutions, and 133 countries were identified from 1985 to 2023. The United States was the country with the highest production (n = 613), followed by the United Kingdom (n = 289). The institution with the largest number of publications was the University of London in the UK (n = 103); In the author collaboration network, the biggest cluster is Bomhoff M, Bouwman R, Friele R, et al. The top five journals in terms of the number of articles were BMC Health Services Research (n = 70), Plos One (n = 35), Health Policy (n = 33), Social Science & Medicine (n = 29), Health Policy and Planning (n = 29), and Frontiers in Public Health (n = 27). The existing literature mainly focused on “health policy,” “public health,” “China,” “mental health,” “India,” “qualitative research,” “legislation,” and “governance,” et al. Since 2020, research on “COVID-19” has also become a priority in the domain of healthcare. Conclusion This study reveals the overall performance of the literature on GR published in healthcare. Healthcare needs GR, especially in response to the COVID-19 epidemic, which has played an irreplaceable role. The outbreak of COVID-19 not only tested the health systems of various countries, but also changed GR in healthcare. With the end of COVID-19, whether these changes will end remains to be further studied.
Analogue scale models of pluton emplacement during transpression in brittle and ductile crust

ABSTRACT: Analogue experiments were used to investigate pluton emplacement during transpression in a layered crust. Models consisted of (1) a silicone gum-PbO suspension as analogue magma, (2) a silicone gum-Pb suspension as a basal ductile layer, and (3) an overlying sand pack representing brittle crust. The models were transpressed at 3 mm/hr causing the extrusion of the analogue magma from a progressively closing slot, and its emplacement into the ductile layer. The thicknesses of the layers were critical in controlling the shapes of intrusions and the structures that developed in the brittle overburden. Thicker sand packs led to flattened, symmetrical laccolith-shaped intrusions and the nucleation of one oblique thrust in the sand pack above the extremity of the intrusion. Thinner sand packs led to thicker, asymmetrical laccolith-like intrusions with uplift of the overburden on an oblique thrust, and the formation of a shallow graben in the extrados of a bending fold. Reducing the thickness of the basal ductile layer resulted in a larger number of shear zones in the sand pack, and structural geometries approaching those produced in experiments involving only a brittle analogue crust and no ductile layer. Shear zones in the sand pack were localised by intrusions, and also played a key role in displacing analogue brittle crust to make space for intrusions. The results suggest that tectonic forces may play an important role in displacing blocks of crust during pluton emplacement in transpressional belts. They also suggest that pluton shapes, and the geometries and kinematics of emplacement-related shear zones and faults, may depend on the depth of emplacement. In nature, depending on the structural level exposed in the map plane, faults and shear zones that helped make space for emplacement may not appear to be spatially associated with the pluton.
Issue when expressing a recombinant protein under the control of p35S in Nicotiana tabacum BY-2 cells

Several recombinant proteins have been successfully produced in plants. This usually requires Agrobacterium-mediated cell transformation to deliver the T-DNA into the nucleus of plant cells. However, some genetic instability may threaten the integrity of the expression cassette during its delivery via A. tumefaciens, especially when the protein of interest is toxic to the bacteria. In particular, we found that a Tn3 transposon can be transferred from the pAL4404 Ti plasmid of A. tumefaciens LBA4404 into the expression cassette when using the widely adopted 35S promoter, thereby damaging T-DNA and preventing correct expression of the gene of interest in Nicotiana tabacum BY-2 suspension cells.
ABCB1 Regulates Immune Genes in Breast Cancer

Background Resistance to standard chemotherapy is a critical problem for breast cancer patients. The ATP-binding cassette (ABC) superfamily transporters actively pump out drugs and play an important role in chemoresistance. ABCB1 (ABC subfamily B, member 1, also named as multidrug resistance protein 1, MDR1) and suppressive myeloid-derived suppressor cells (MDSCs) potentially involve in chemoresistance of breast cancer. The relationship between ABCB1 and immune genes in breast cancer has not been widely studied. Methods Microarray and RNA sequencing data were obtained from The Cancer Genome Atlas Breast Invasive Carcinoma in Genomic Data Commons Data Portal and Gene Expression Omnibus database. A patient-derived xenograft (PDX) model of HER2+ breast cancer was established to investigate the association between ABCB1 and immune genes in breast cancer. Results Expression of ABCB1 increased in doxorubicin-selected MCF-7/ADR cells. High expression of ABCB1 mRNA is correlated with lymph-node metastasis and worse overall survival in patients with breast cancer. ABCB1 is positively correlated with IL6, CSF1, CSF3, and PTGS2. In the HER2+ stage IIA breast cancer PDX model, both doxorubicin and paclitaxel suppressed growth of P2 tumors. IL6, CSF1, CSF3, and PTGS2 expression were suppressed by paclitaxel but not doxorubicin. Intrasplenic MDSCs, including CD11b+Ly6G+ and CD11b+Ly6C+ cells, were more abundant than intratumor MDSCs in PDX-carrying nude mice. Clinically, the patient developed cancer recurrence after adjuvant chemotherapy with doxorubicin-based regimen and was well controlled after paclitaxel-trastuzumab combined therapy. Conclusion ABCB1 was a poor predictor of HER2+ LN– breast cancer. Regulation of immune genes by ABCB1 contributed to cancer recurrence and treatment effect. The PDX model was suitable for investigation the expression of target genes and expansion of immune cells.
The Effect of Antidepressant Treatment on Neurocognitive Functions, Redox and Inflammatory Parameters in the Context of COVID-19

Inflammation is an important component of the etiopathology of depression that uses oxidative and nitrosative stress (O&NS) and elevated inflammatory markers. SARS-CoV-2 infection is also associated with abnormal inflammatory processes, which may impair effective treatment of depression in COVID-19 survivors. In the presented study, thirty-three hospitalized patients with major depressive disorder (MDD) were started on antidepressant treatment, and twenty-one were re-evaluated after 4–6 weeks. The control group consisted of thirty healthy volunteers. All participants underwent neuropsychiatric evaluation, biochemical blood and urine analyses. The results of the research demonstrated positive correlations of the Hamilton Depression Rating Scale (HAM-D) scores with serum catalase (CAT) and urinary S-Nitrosothiols levels, and the Beck Depression Inventory (BDI) scores with serum reduced glutathione (GSH) and superoxide dismutase (SOD) levels. Depressed patients with a history of COVID-19 prior to the treatment had higher urinary nitric oxide (NO) levels and lower serum glutathione peroxidase (GPx) levels. In the control group, COVID-19 survivors had higher levels of urinary N-formylkynurenine (NFK). Our results suggest that the antidepressant treatment has a modulating effect on O&NS, reduces depressive symptoms and improves cognitive functions The present study does not indicate that clinical response to antidepressant treatment is associated with COVID-19 history and baseline SARS-CoV-2 antibody levels. Nevertheless, further research in this area is needed to systematize antidepressant treatment in COVID-19 survivors.