Miracle-dz/UniFAR-FTUs huggingface dataset:
The Case Study of Using Photogrammetric Systems and Laser Scanning for Three-Dimensional Modeling of Cultural Heritage Sites

Advancements in digitizing technologies in recent years have enabled the creation of precise three-dimensional models using specialized equipment such as terrestrial laser scanners. Unfortunately, working with a device placed on the ground surface makes it impossible to directly measure roof structures, building vertices and hard-to-reach areas. However, unmanned aerial vehicles equipped with high-resolution cameras and a precise control system that allows maneuvers in the aforementioned places have a chance in this field. This article presents the complete process of digital 3D modeling of the town hall building in Zamość, using a combination of photogrammetry and laser scanning, along with geodetic measurement techniques. The study covers the planning stage, the field stage, and ends with accuracy analyses. Finally, the potential applications of the aforementioned object are discussed. The research identified several challenges during the project, including the need for meticulous planning to ensure optimal data acquisition, dealing with limitations of equipment mobility, and addressing data quality issues such as image blurriness and exposure variations. However, through careful calibration, data filtering, and quality assess - ment, these challenges were successfully mitigated. The study demonstrated the potential of advanced geodetic techniques in accurately digitizing complex architectural structures with rich historical significance. The detailed 3D model of the Zamość town hall serves as a valuable resource for further research, preservation efforts, and heritage documentation.
A Comparative Multidimensional Study of Online University Prospectus of Pakistan and UK: A Corpus-based Analysis

The online university prospectus has become a key promotional tool in the field of education, designed to capture the attention of potential students and promote the institution's courses. The emergence of online prospectuses has added an extra dimension to the marketization of universities and their strategies to promote themselves. With the increasing use of technology, online university prospectuses have become a widely-used tool in educational contexts worldwide. The purpose of the present study is to conduct a multidimensional comparative analysis of online university prospectuses from Pakistan and the United Kingdom. The study aims to identify a set of linguistic features through multidimensional analysis, which involves three out of five dimensions proposed by Biber, including involved versus informational discourse, narrative versus non-narrative concerns, and explicit versus situation-dependent discourse. By analyzing these dimensions, the research aims to highlight the similarities and differences between online university prospectuses from Pakistan and the UK. The research will play a vital role in helping to identify the language used on online university websites to represent educational institutions, which is beneficial for both native and non-native speakers. The findings of this research paper will help educational institutions in designing their prospectuses to attract more students. The findings of the research will contribute to the development of cross-cultural perspectives in the field of education. In conclusion, the analysis of online university prospectuses in Pakistan and the UK through multidimensional analysis provides valuable insights into the promotional language and strategies used by universities. It is significant as it contributes to the development of cross-cultural perspectives in the field of education and provides insight into the similarities and differences in the language of online university prospectuses from two culturally different countries.
A qualitative study on the clinical safety and user experiences of female condoms for anal intercourse among men who have sex with men in Shanghai, China

Objective This qualitative study aimed to understand the clinical safety, efficacy, and receptiveness of using the female condom (FC) during anal intercourse among men who have sex with men (MSM). Methods Subjects for this study were recruited from a two-group crossover trial among MSM in Shanghai. The trial consisted of two phases, each including the use of condoms (FC vs. male condom), questionnaires, and in-depth one-on-one interviews. The two phases were separated by a washout period of 4 weeks. The minimum sample size for this study was determined in accordance with the principle of “information saturation. ” The qualitative data were organized and analyzed using ATLAS.ti version 7. Results A total of 26 participants from the MSM population were recruited for this study, with 10 assuming the insertive role (i.e., “1”), 8 assuming the receptive role (i.e., “0”), and 8 being versatile (i.e., “0.5”). Each participant completed the crossover trial comprising two phases. The cumulative usage of FCs and male condoms (MCs) amounted to 115 and 127 times, respectively. During the reported sexual encounters, no participants reported incidents of condom rupture, slippage, or other malfunctions. A few participants reported experiencing slight chafing pain, primarily put forward by “0” participants. Apart from those reports, no instances of bleeding, swelling, or allergic reactions were reported. The efficiency of FC in disease prevention, the sexual partner’s willingness to use FC, the freshness of FC, and positive sexual experiences were the main reasons for the consistent use of FC for anal sex. Discomfort and pain during sexual activity, the loose design and thick material of FCs, and difficulties in placing FCs were the major obstacles to FC use among MSM. The elements referring to the forehead exhibited varied in importance among “1,”, “0,” and “0.5” participants. Regarding the willingness to use the FC in the future anal intercourse, 61.54% of participants expressed a positive inclination, 23.08% were uncertain, and 15.38% stated that they would not. “A better sense of security during anal sex” was the main factor affecting willingness among “0” participants and “the sexual pleasure that the FC brought” among “1” participants. Improving the design and technology of FCs and increasing the frequency of use and practice might improve the use skills, which will favor the willingness to use FCs among the MSM population. Conclusion FCs received positive user feedback from study participants, but distinctions were found in individuals in different sexual roles. Large-scale quantitative studies are needed to evaluate the clinical safety of the FC and its effectiveness in preventing the transmission of STDs during anal intercourse.
Analysis on the Growth of Shared Bike Users Based on Random Forest Model

By analyzing the data set of hourly rental of shared bikes in Washington, D. C. , this paper explores how to achieve the growth of shared bike users based on the methods of data mining and visual exploration. In this paper, machine learning models such as ridge regression, lasso regression, support vector machine regression and random forest regression are mainly selected to predict the needs of shared bike users, and then the random forest regression is verified as the optimal model. The result of this article explores the reasonable scheduling of auxiliary resources in the shared bike industry, improves the utilization rate of bicycle resources.
Research status of phase change memory and its materials

Phase change memory technology is a new technology in non-volatile memory technology. Phase change memory technology has many advantages, such as non-volatility, high reading and writing speeds, better data retention, and strong compatibility with CMOS technology, and has been paid attention to by many researchers. Phase change materials are mainly chalcogenide compound materials. Researchers have done a lot of research on Ge-Sb-Te, Ge-Te, and Sb-Te-based phase change materials and developed some new phase change material systems. In addition, researchers have carried out in-depth research on the phase transition mechanism, but the existing atomic umbrella jump theory, multiple ring theory, resonance bond theory, octahedral structure theory, etc. have not formed a unified understanding of the phase transition mechanism. At present, phase change memory is mainly prepared by magnetron sputtering of phase change material targets, which results in fast deposition and high purity of the prepared film. In this paper, based on the development of phase change storage materials, the system of phase change materials and its phase change mechanism, the phase transition mechanism of phase change memory, the preparation and characterization methods of phase change films, the industrialization progress, and other research work are reviewed.
Relationship Between High-Performance Work Systems and Innovation Performance (Low-Level Employee’s Perception) with Mediating Role of Dynamic Capabilities and Moderating Role of Hierarchal Culture

In this research, we examined theoretically how human resource practices such as high-performance work systems help build dynamic capabilities which enhance an organization's innovation performance. We also theorized that firms within a hierarchical culture where employees follow a structured system would not have a strong influence in transforming dynamic capabilities into innovation. We analyzed and tested our hypothetical model by using cross-sectional studies from 50 pharmaceutical companies in Pakistan. Our findings demonstrate that dynamic capabilities (DCs) serve as a mediator in the relationship between high-performance work systems and innovation performance (IP). Moreover, the association of dynamic capabilities (DCs) and innovation performance is found to be significantly moderated by hierarchical culture (IP). We found that the relationship of high-performance work systems, innovation performance and dynamic capacities were not significantly influenced by hierarchical culture.
Looking to the past to understand the future

Climate Change About 60 million years ago, carbon dioxide concentration in Earth's atmosphere rose sharply, resulting in severe climatic changes that may in some ways mirror Earth's future climate. In a Perspective, Alley explains that the consequences of these climatic changes were severe. Consequences included dwarfing of land mammals, ecosystem disruptions, ocean acidification, and loss of coral reefs. The carbon dioxide rise during the Paleocene-Eocene Thermal Maximum (PETM) occurred over a longer time scale than that caused by fossil fuel burning today, which gave ecosystems more time to adjust to climate changes. Thus, the consequences of current and future global warming may be even more severe than those seen in this distant mirror. Science , this issue p. [151][1] [1]: /lookup/doi/10.1126/science.aaf4837
Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI-Based Approach

Although deep neural networks (DNNs) have been remarkably successful in numerous areas, the performance of DNN is compromised in federated learning (FL) scenarios because of the large model size. A large model can induce huge communication overhead during the federated training, and also induce infeasible storage and computation burden at the clients during the inference. To address these issues, we investigate structured model compression in FL to construct sparse models with regular structure such that they require significantly less communication, storage and computation resources. We do this by proposing a three-layer hierarchical prior, which can promote a common regular sparse structure in the local models. We design a decentralized Turbo variational Bayesian inference (D-Turbo-VBI) algorithm to solve the resulting federated training problem. With the common regular sparse structure, both upstream and downstream communication overhead can be reduced, and the final model also has a regular sparse structure, which requires significantly less local storage and computation resources. Simulation results demonstrate that our proposed algorithm can efficiently reduce the communication overhead during federated training and the resulting model can achieve a significantly lower sparsity rate and inference time compared to the baselines while maintaining a competitive accuracy.
Removal of Algae and Algal Toxins from a Drinking Water Source Using a Two-Stage Polymeric Ultrafiltration Membrane Process

The release of algal toxins in algae-containing water sources poses a serious threat to drinking water safety and human health. The conventional water treatment processes of water plants have a limited ability to remove algae and algal toxins, especially algal toxins with a molecular weight (MW) of less than 1000 Da. To eliminate algal pollution from a water source, a two-stage ultrafiltration (UF) process with a large polysulfone hollow fiber membrane with a MW cut-off of 200 kDa and a small aromatic polyamide roll membrane with a MW cut-off of 1 kDa were applied after a traditional sand filter in a water treatment plant. UF operation conditions, including the operating time, pressure, and membrane flux, were investigated. With an operating pressure of 0.05–0.08 MPa, the polysulfone hollow fiber membrane removed algae effectively, as the influent algal cell concentration ranged from 1–30 cells/mL but exhibited a limited removal of algal toxins. With an operating pressure of 0.3–0.4 MPa, the elimination of microcystins (MCs) reached 96.3% with the aromatic polyamide roll membrane. The operating pressure, membrane flux, and operating time were selected as the experimental factors, and the effects on the UF efficiency to remove algal toxins and biodegradable dissolved organic carbon were investigated by the response surface methodology. The model showed that the order of influence on the membrane operating efficiency was operating pressure > membrane flux > running time. The optimal UF operating conditions were an operating pressure of 0.3 MPa, a membrane flux of 17.5 L/(m2·h), and a running time of 80 min.
Robust optical and SAR multi-sensor image registration

This paper proposes a robust matching method for the multi-sensor imagery. Firstly, the SIFT feature matching and relaxation matching method are integrated in the highest pyramid to derive the approximate relationship between the reference and slave image. Then, the normalized Mutual Information and multi-grid multi-level RANSAC algorithm are adopted to find the correct conjugate points. Iteratively perform above steps until the original image level, the facet- based transformation model is used to carry out the image registration. Experiments have been made, and the results show that the method in this paper can deliver large number of evenly distributed conjugate points and realize the accurate registration of optical and SAR multi-sensor imagery.
Spirulina Supplementation with High-Intensity Interval Training Decreases Adipokines Levels and Cardiovascular Risk Factors in Men with Obesity

Adiposity, a state characterized by excessive accumulation of body fat, is closely linked to metabolic complications and the secretion of specific adipokines. This study explores the potential of exercise and Spirulina supplementation to mitigate these complications and modulate adipokine release associated with obesity. The primary objective of this investigation was to examine the impact of a 12-week regimen of high-intensity training combined with Spirulina supplementation on adipokine concentrations and lipid profiles in male individuals with obesity (N = 44). The participants were randomly distributed into four groups, each consisting of 11 participants: a control group (CG), a supplement group (SG), a training group (TG), and a training plus supplement group (TSG). The intervention comprised a 12-week treatment involving Spirulina supplementation (6 g capsule daily), a 12-week high-intensity interval training (HIIT) protocol with three sessions per week, or a combined approach. Following the interventions, metabolic parameters, anthropometric measurements, cardiorespiratory indices, and circulating adipokines [CRP, Sema3C, TNF-α, IL-6, MCP1, IL-8] were assessed within 48 h of the before and final training session. Statistical analyses revealed significant differences across all measures among the groups (p < 0.05). Notably, post hoc analyses indicated substantial disparities between the CG and the three interventional groups regarding body weight (p < 0.05). The combined training and supplementation approach led to noteworthy reductions in low-density lipoprotein (LDL), total cholesterol (TC), and triglyceride (TGL) levels (all p < 0.0001), coupled with an elevation in high-density lipoprotein–cholesterol (HDL-C) levels (p = 0.0001). Furthermore, adipokine levels significantly declined in the three intervention groups relative to the CG (p < 0.05). The findings from this 12-week study demonstrate that Spirulina supplementation in conjunction with high-intensity interval training reduced adipokine levels, improved body weight and BMI, and enhanced lipid profiles. This investigation underscores the potential of Spirulina supplementation and high-intensity interval training as a synergistic strategy to ameliorate obesity-related complications and enhance overall cardiometabolic well-being in obese males.
A 130-nm Fusion-Based Deconvolution Kernel Generator IC for Real-Time mmWave Radar Motion Compensation

High-resolution mmWave radar represents an attractive sensing modality for precise, real-time sensing on resource-limited edge devices. Inherent parasitic platform motion such as vibration, however, significantly degrades perception resolution. Although existing methods of motion compensation have addressed this issue, such algorithms entail compute-heavy post-processing and thus would not be feasible for short-time-scale operation on a resource-constrained edge device. We present the first known IC-enabled solution for vibratory motion compensation, in the form of a mixed-signal, real-time deconvolution kernel generator chip. The custom IC, implemented in the open-source SkyWater 130-nm technology, functions as a sensor-fusion-based filter generation engine, operating in processing windows of less than 95 ms and fusing synchronized data from an auxiliary accelerometer to synthesize a kernel capable of correcting the received radar signals in real time. Measurement results demonstrate accurate kernel generation, while yielding an average spur suppression of 35 dB across a range of vibration frequencies and amplitudes and 26 dB across measured target velocity. Such performance, in conjunction with the demonstrated operation on short time windows of radar data, validate the chip’s potential for realistic deployment in real-time applications requiring high-resolution perception.
Overcoming the myths of esketamine administration: different and not difficult

Intranasal esketamine for treatment-resistant depression has been introduced and approved by the FDA and EMA in 2019 and 2020, respectively. Since then, the administration practices were found different among countries. Major depression has a high impact on many humans lives worldwide and more than a third of treated people are not responding after several treatment attempts. Additional administration with esketamine closed this gap for more than the half of these non-responders. Guidelines for the treatment of major depression recommend starting with add-on esketamine after 2–4 serious attempts of treatment with standard antidepressants (SSRI/SNRI) irrespective of augmentation with others, e.g., second generation antipsychotics or lithium. Thus, intranasal esketamine became an important role in the evidence-based treatment of major depression. The authors review and critically evaluated published articles focusing on preparation, management and observation of intranasal esketamine treatment. There exists a clear recommendation for administrating intranasal esketamine in a medical environment, not limited to a clinical setting for selecting the dose, monitoring the improvements and managing adverse events. The administration of intranasal esketamine is considered as safe during the application itself and long-lasting or severe adverse events during long-term treatment are very rare. Since this is a new approach for treatment application psychiatrists face new different but not difficult treatment procedures compared to prescribing only a medication.
Experimental and Theoretical Study on Electronic and Optical Properties of TiO2 (anatase) Bulk and Al Doped Thin Film Phases

Tuning the electronic and optical properties of TiO2 is very important because of the variety of applications, including photocatalysts, electronics and data storage devices, and solar cells. Here, we performed the theoretical and experimental investigation of electronic, and optical properties of TiO2 and Al doped TiO2 in the form of bulk and thin film. A tight binding linear muffintin orbital (TB-LMTO) approach is used to optimized the TiO2 (anatase) in bulk phase. The optimized lattice parameter of TiO2 (anatase) is found to be 3. 89Å. The band structure plot reveals that bulk TiO2 (anatase) bears wide bandgap semiconducting behavior with bandgap (Eg) 3.23 eV whereas thin film of aluminium doped TiO2 (anatase) behaves as a metal. The symmetric nature of up and down density of state (DOS) and projected density of states (PDOS) for both bulk and thin film of TiO2 (anatase) ensures their non-magnetic behavior. Experimental observation shows that the surface reflectance of the film increases with increasing concentration of aluminium (Al) while transmittance observed as opposite trends. The direct and indirect bandgaps of TiO2 film evaluated using transmittance curves are 3.53 eV and 3.27 eV respectively, which are well agreed with the available standard band-gap range of TiO2 film (3.2 eV to 3.65 eV). The direct band gaps for Al-1% and Al-3% doped TiO2 film are 3.60 eV and 3.62 eV respectively with thickness obtained from swanepoel method are 682.06 nm and 745.56 nm respectively.
Integrated Multiport DC-DC and Multilevel Converters for Multiple Renewable Energy Source Integration

This research introduces an innovative converter system which has been developed to seamlessly incorporate multiple sources of renewable energy into both DC and AC grids. The integration of multiple energy sources is made possible through the utilization of a unique converter system that combines a multiport DC converter topology with a multilevel inverter topology, while maintaining a low component count and hence increased overall power density and efficiency for the proposed converter system. Unlike previous literature, where each energy source needs a separate DC converter and a two-level converter is used for DC to AC conversion, this converter system features buck-boost operation, superior power quality characteristics, and fewer components. The system suggests the implementation of a DC link voltage balancing technique that relies on an auxiliary circuit to achieve equilibrium in the voltage on the DC link, as a possible substitute to the more complicated control-based balancing scheme. The operational integrity of the converter system is assessed through rigorous numerical simulations and experimentally validated using OPAL-RT’s OP5700 hardware-in-the-loop (HIL) implementation platform as well as an in-house experimental test setup.