Miracle-dz/UniFAR-FTUs huggingface dataset:
A ferry mobility based direction and time‐aware greedy delay‐tolerant routing (FM‐DT‐GDR) protocol for sparse flying ad‐hoc network

Flying Ad‐hoc Networks (FANETs) play a major role in various civilian and non‐civilian applications especially in search and rescue operations after natural disasters. Unmanned aerial vehicles (UAVs) collect critical information in the form of images and videos from disaster areas and send it to the ground station (GS) for immediate rescue operations. UAVs capture the information and send it to the GS to carry out the rescue operations without any delay. A small number of UAVs operate over a large geographic area for rescue operations when a sudden natural disaster occurs that creates a sparse or intermittent network. Therefore, routing is the most challenging issue in sparse FANETs due to the low‐node density network and high mobility of UAVs Existing routing protocols for connected or dense FANETs cannot be directly adopted in extremely sparse FANETs. Only a few works exist that focus on sparse networks as most of the work is based on connected networks. Traditional routing algorithms for sparse FANETs are based on a flood‐based strategy that creates unnecessary delays in the network. Some recently developed routing algorithms directly adopt greedy‐based forwarding for routing in sparse networks and consider the non‐realistic assumption without considering delay as a significant constraint of search and rescue operations. This paper presents a novel ferry mobility‐based direction and time‐aware greedy delay‐tolerant routing (FM‐DT‐GDR) protocol for data transfer to GS during disaster relief operations in the sparse FANETs without delay. FM‐DT‐GDR uses a store, carry, and forward (SCF) mechanism to prevent data loss when no neighbors are present. Upon receiving the beacon from the ferry node, the search nodes calculate the nearest destination from their location between the ferry and the GS and send the data accordingly. The ferry collects data from the search UAVs and sends it to the GS. Optimized ferry trajectories significantly improve route availability between GS and search UAVs Furthermore, the proposed routing scheme efficiently selects the forwarder node to send the data to the selected destination without any delay. FM‐DT‐GDR provides significant improvements in packet delivery ratio, routing overhead, and end‐to‐end delay compared to traditional routing protocols.
Resumptive Modifiers in English Grammar: An Eclectic Approach

The resumptive modifiers are critical devices in the English linguistic system that contribute significantly to the clarity and cohesion of texts. They are tackled by many major theories of grammar. Most grammar books and studies only deal with one type of such devices and there is no theoretical framework that aims to unify, within a single framework, all of the means in which resumption can be created in texts. For this reason, one of the main research questions is: 'What are the linguistic mechanisms for resuming texts in English? '. This study, then, aims to address all of these kinds and to examine their uses in authentic written formal English texts. It also aims to distinguish between all of the kinds in terms of form and use. This research adopts the model proposed by Halliday and Hasan (1976) and Quirk et al. (1985) and follows a qualitative approach for analysing the data. The data are from two registers: journal articles and textbooks. The research has revealed that such a variation of register can affect the way in which such devices are used. In addition, the study has corroborated the hypotheses stated in (1.3). Thus, this research contributes to our understanding of such devices.
Renewable Single-Walled Carbon Nanotube Membranes for Extreme Ultraviolet Pellicle Applications

We propose a facile, cost-efficient, environmentally friendly, and scalable process to renew single-walled carbon nanotube membranes serving as extreme ultraviolet (EUV) protective pellicles. The method comprises of high-temperature treatment of the membrane by Joule (resistive) heating at temperatures higher than 1000 ◦ C and pressure below 0.3 Pa. Using model Sn aerosol nanoparticles, the primary contaminant from extreme ultraviolet light sources, we demonstrate the proposed method to clean the membrane with the power consumption as low as 20 W/cm 2 . We show the proposed method to cause no harm to carbon nanotube structure, opening a route towards multiple membrane renovation. We confirm the applicability of the approach using in situ deposition from the semi-industrial EUV light source and subsequent Sn-based contaminant removal, which restores the EUV-UV-vis-NIR transmittance of the film and, therefore, the light source performance. The proposed method supports pulse-cycling opening an avenue for enhanced protection of the lithography mask and stable performance of the EUV light source. Additionally, the approach suits other composite contaminants based on such species as Pb, In, Sb, etc .
Self-excitation and constant flux operation of induction generators in stand-alone applications.

This thesis deals with applications of variable speed induction generators in stand-alone power systems. The plant consists of an induction generator, a reactive power compensator and a control system. Four different reactive power compensation schemes for a stand-alone induction generator, namely parallel capacitor bank, voltage source inverter with scalar control of frequency, a current controlled PWM voltage source inverter (VSI) with direct stator flux oriented control, and a current controlled PWM voltage source inverter with direct rotor flux oriented control, have been investigated. Dynamics of self-excitation process of an induction generator, using fixed capacitor bank, have been investigated both experimentally and by simulation for a single-cage and a double-cage induction machine. Detailed experimental investigations of the induction generator self-excitation process with star and delta connected capacitor bank, under variable speed conditions, and evaluation of load voltage variation compensation using additional series capacitor bank, have been conducted and the results are presented. Simulation of variable speed operation of the induction generator with scalar control of a PWM voltage source inverter has been performed. Two novel vector control strategies for the PWM VSI based reactive power compensator, a direct stator flux oriented control scheme and a direct rotor flux oriented control scheme, with a goal of achieving constant flux operation of the generator under varying speed and load conditions, have been developed and verified by simulation. A novel saturation adaptive rotor flux estimator is developed for the case of rotor flux oriented control scheme. Rotor flux oriented control scheme offers the most favourable behaviour. The proposed vector controlled variable speed induction generators can be used to supply both autonomous a. c. power systems and autonomous d. c. power systems.
Metrics That Matter in Software Integra- tion Testing Labs

Without having in place data-driven metrics that give a holistic business perspective of software integration testing laboratories, leaders of the DoD's weapons programs are unable to optimize the performance of these full- system and subsystem integration labs that test and certify integrated hardware and software during the development, modernization, and sustainment of the U.S. military's integrated and complex systems. Yet these metrics are not available across the DoD lab footprint, even though the labs' significance is growing in par- allel with the military's rapid shift from using equipment with capabilities based on advanced hardware to equipment that is dependent on fully integrated, complex systems of both hardware and software.
The Association between the Pan-Immune-Inflammation Value and Cancer Prognosis: A Systematic Review and Meta-Analysis

Simple Summary Growing evidence indicates that blood-count-based compound scores could be used as prognostic biomarkers in cancer as reflectors of uncontrolled inflammation in the tumor microenvironment. Several markers have been developed in this regard, including the recent pan-immune-inflammation value (PIV) that incorporates the levels of blood neutrophil, monocyte, platelet, and lymphocytes. In this paper, we reviewed the association between PIV and overall survival or progression-free survival in cancer from the published studies to date. We observed that higher PIV levels were an adverse prognostic factor consistently across several clinical scenarios, including non-metastatic or metastatic disease and treatment with targeted therapy or immunotherapy. In contrast, the data were limited in patients treated with chemotherapy or patients with non-metastatic disease. The available evidence demonstrates that PIV could be a readily available biomarker for prognosis prediction in cancer. However, further research is needed to explore the promise of PIV as a prognostic biomarker in cancer. Abstract Background: Prognostic scores derived from the blood count have garnered significant interest as an indirect measure of the inflammatory pressure in cancer. The recently developed pan-immune-inflammation value (PIV), an equation including the neutrophil, platelet, monocyte, and lymphocyte levels, has been evaluated in several cohorts, although with variations in the tumor types, disease stages, cut-offs, and treatments. Therefore, we evaluated the association between survival and PIV in cancer, performing a systematic review and meta-analysis. Methods: We conducted a systematic review from the Pubmed, Medline, and Embase databases to filter the published studies until 17 May 2022. The meta-analyses were performed with the generic inverse-variance method with a random-effects model. Results: Fifteen studies encompassing 4942 patients were included. In the pooled analysis of fifteen studies, the patients with higher PIV levels had significantly increased risk of death than those with lower PIV levels (HR: 2.00, 95% CI: 1.51–2.64, p < 0.001) and increased risk of progression or death (HR: 1.80, 95% CI: 1.39–2.32, p < 0.001). Analyses were consistent across several clinical scenarios, including non-metastatic or metastatic disease, different cut-offs (500, 400, and 300), and treatment with targeted therapy or immunotherapy (p < 0.001 for each). Conclusion: The available evidence demonstrates that PIV could be a prognostic biomarker in cancer. However, further research is needed to explore the promise of PIV as a prognostic biomarker in patients with non-metastatic disease or patients treated without immunotherapy or targeted therapy.
Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization

Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection and Ranging). However, there are challenges in employing current fusion methods in edge devices, while keeping the process flexible and modular. This paper presents a method for multiple object localization that fuses LiDAR and camera data with low-latency, flexibility and scalability. Data is obtained from 360° surround view four cameras and a scanning LiDAR distributed over embedded devices. The proposed technique: 1) discriminates dynamic multiple objects in the scene from raw point clouds, clusters their respective points to obtain a compact representation in 3D space; and 2) asynchronously fuse the centroids with data from object detection neural networks for each camera for detection, localization, and tracking. The proposed method meets above functionalities with low-latency fusion and increased field of view for safer navigation, even with intermittent flow of labels and bounding boxes from models. That makes our system distributed, modular, scalable and agnostic to the object detection model, distinguishing it from the current state-of-art. Finally, the proposed method is implemented and validated in both indoor environment and publicly available outdoor KITTI 360 data set. The fusion occurs much faster and accurate when compared with traditional non-data driven fusion technique and the latency is competitive with other non-embedded deep learning fusion methods. The mean error is estimated to be ≈ 5 cm and precision of 2 cm for indoor navigation of 15 m (error percentage of 0.3 %). Similarly, mean error of 30 cm and precision of 3 cm for outdoor navigation of 35 m on KITTI 360 data set (error percentage of 0.8 %).
Integration of ubiquitous specifications in the conception of objects system

: This paper proposes an approach called Ubiquitous System Object (Ubi-SO) based on standard life cycle. This approach aims to identify, to analyse and to design ubiquitous requirements that can be incorporated into a traditional system engineering process. The approach is modelled with the Business Process Management Notation (BPMN) method which is adapted using the Bizagi Modeler tool. Ubi-SO separates functional, technical and contextual ubiquitous needs in conceptualisation phase. It is based on extended sequence diagram in analysis phase and on extended class diagram in design phase using Uml profile for the best adaptation to ubiquitous domain. Compared with a lot of works, this solution offers guidelines for studying and spreading ubiquitous needs. To demonstrate the feasibility of our work, the approach is verified by translating the BPMN into formal Language of Temporal Ordering Specification (LOTOS) and then validated by the CADP tool.
A Panoramic Study of Fall Detection Technologies

Falls are a major risk of injury for elderly aged 65 or over, blind people, people with balance disorder and leg weakness. In this regard, assistive technology which aims to identify fall events at real time can reduce the rate of impairments and mortality. This study offer a literature research reference value for bioengineers for further research. Much of the past and the current fall detection research, the vital signals features and the way features are extracted and fed to a classifier are introduced. The study concludes with an assessment of the current technologies highlighting their critical limitations along with suggestions for future research direction in this rapidly developing field of study.
PENGARUH LETAK TENSIMETER TERHADAP HASIL PENGUKURAN TEKANAN DARAH

Latar Belakang : Tekanan darah merupakan salah satu dari tanda-tanda vital yang digunakan seorang dokter sebagai landasan untuk mendiagnosa dan menerapi seorang pasien. Pengukuran darah yang akurat sangat dibutuhkan dalam mengevaluasi status hemodinamik pasien dan mendiagnosa penyakit. Tekanan darah diukur dalam milimeter air raksa (mmHg), dan dicatat sebagai dua nilai yang berbeda yaitu tekanan darah sistolik dan tekanan darah diastolic. Dewasa ini peneliti menemukan berbagai macam tensimeter, seperti tensimeter dinding dan tensimeter standing portable, yang mana kedua tensimeter tersebut letaknya tidak sejajar dengan jantung. Tujuan Penelitian : Penelitian ini bertujuan untuk membuktikan adanya pengaruh letak tensimeter terhadap tekanan sistolik dan tekanan diastolik darah Metode Penelitian : Penelitian ini merupakan penelitian observasional analitik menggunakan desain cross-sectional. Subjek penelitian sebanyak 50 mahasiswa berusia 20-22tahun. Dilakukan pengukuran dengan letak tensimeter sejajar jantung dan diatas jantung masing-masing sebanyak 3 kali, diambil nilai rata-rata hasil pengukuran kemudian data diolah dengan menggunakan uji t berpasangan Hasil Penelitian : Hasil penelitian diperoleh data sebagai berikut: Tekanan darah sistolik antara letak tensimeter sejajar jantung vs diatas jantung (111,88 ± 12,91 vs 111,68 ± 11,86 mmHg) dan : Tekanan darah distolik antara letak tensimeter sejajar jantung vs diatas jantung (65,38 ± 6,64 vs 65,06 ± 6,8 mmHg). Dari hasil uji t berpasangan didapatkan hasil 0,835 untuk tekanan sistolik, dan didapatkan hasil 0,649 untuk tekanan diastolik, dimana keduanya menunjukan hasil yang tidak bermakna (p>0,05) Kesimpulan : Tidak ada pengaruh letak tensimeter terhadap tekanan sistolik dan diastolik darah.
Graduate Student Literature Review: Enterotoxigenic potential and antimicrobial resistance of staphylococci from Brazilian artisanal raw milk cheeses.

More than 30 types of artisanal cheeses are known in Brazil; however, microorganisms, such as Staphylococcus spp. , can contaminate raw milk cheeses through different sources, from milking to processing. Staphylococcal food poisoning results from the consumption of food in which coagulase-positive staphylococci, mostly Staphylococcus aureus, have developed and produced enterotoxins. In addition, an emerging public health concern is the increasing antimicrobial resistance of some Staphylococcus strains. Furthermore, the ability of Staphylococcus spp. in sharing antibiotic resistance-related genes with other bacteria increases this problem. In light of these observations, this review aims to discuss the presence of, enterotoxins of, and antibiotic-resistant of Staphylococcus spp. in Brazilian artisanal cheese produced with raw milk.
Estimating monthly labour force figures during the COVID‐19 pandemic in the Netherlands

Official monthly statistics about the Dutch labour force are based on the Dutch Labour Force Survey (LFS). The LFS is a continuously conducted survey that is designed as a rotating panel design. Data collection among selected households is based on a mixed‐mode design that uses web interviewing, telephone interviewing and face‐to‐face interviewing. Monthly estimates about the labour force are obtained with a structural time series model. Due to the COVID‐19 pandemic, face‐to‐face interviewing stopped. It was anticipated that this would have a systematic effect on the outcomes of the LFS and that the lockdown at the same time affected the real monthly labour force figures. The lockdown indeed marked a sharp turning point in the evolution of the series of the monthly labour force figures and strongly increased the volatility of these series. In this paper, it is explained how Statistics Netherlands produced monthly labour force figures during the COVID‐19 pandemic. It is shown how the sudden change in the mode effects, because face‐to‐face interviewing stopped, were separated from real period‐to‐period changes in the labour force figures. It is also explained how the time series model is adapted to the increased volatility in the labour force figures.
B cell– and T cell–intrinsic regulation of germinal centers by thymic stromal lymphopoietin signaling

Long-lived and high-affinity antibodies are derived from germinal center (GC) activity, but the cytokines that regulate GC function are still being identified. Here, we show that thymic stromal lymphopoietin (TSLP) signaling regulates the GC and the magnitude of antigen-specific antibody responses. Both GC B cells and T follicular helper (TFH) cells up-regulate the expression of surface TSLP receptor (TSLPR), but cell-specific loss of TSLPR results in distinct effects on GC formation and antibody production. TSLPR signaling on T cells supports the retention of antigen-specific B cells and TFH differentiation, whereas TSLPR in B cells regulates the generation of antigen-specific memory B cells. TSLPR in both cell types promotes interferon regulatory factor 4 (IRF4) expression, which is important for efficient GC activity. Overall, we identified a previously unappreciated cytokine regulator of GCs and identified how this signaling pathway differentially regulates B and T cell responses in the GC. Description TSLP signaling enacts distinct and cell-specific roles in regulating formation of germinal centers. Germinal centers need some TSLP Thymic stromal lymphopoietin (TSLP) promotes allergic responses within barrier tissues and is a target for therapeutic inhibition in severe asthma. The contributions of signaling through the TSLP receptor on B and T cells to germinal center (GC) antibody responses are poorly understood. Domeier et al. used mouse models lacking TSLP or its receptor to investigate how loss of TSLP signaling impairs antibody formation in GCs. Conditional deletion of the TSLP receptor in T cells impaired differentiation of T follicular helper cells that support GC B cells. However, conditional deletion of the TSLP receptor in B cells augmented antigen-specific GCs and memory B cells. These findings identify TSLP as a key cytokine utilized by both B and T cells to achieve optimal GC function. —IW
Adverse Effects of Using Metallurgical Slags as Supplementary Cementitious Materials and Aggregate: A Review

This paper discusses a sustainable way to prepare construction materials from metallurgical slags. Steel slag, copper slag, lead-zinc slag, and electric furnace ferronickel slag are the most common metallurgical slags that could be used as supplementary cementitious materials (SCMs) and aggregates. However, they have some adverse effects that could significantly limit their applications when used in cement-based materials. The setting time is significantly delayed when steel slag is utilized as an SCM. With the addition of 30% steel slag, the initial setting time and final setting time are delayed by approximately 60% and 40%, respectively. Because the specific gravity of metallurgical slags is 10–40% higher than that of natural aggregates, metallurgical slags tend to promote segregation when utilized as aggregates. Furthermore, some metallurgical slags deteriorate the microstructure of hardened pastes, resulting in higher porosity, lower mechanical properties, and decreased durability. In terms of safety, there are issues with the soundness of steel slag, the alkali-silica reaction involving cement and electric furnace ferronickel slag, and the environmental safety concerns, due to the leaching of heavy metals from copper slag and lead-zinc slag.
Accounting for Risk in a Linearized Solution: How to Approximate the Risky Steady State and Around It

We propose a novel approximation of the risky steady state and construct first-order perturbations around it for a general class of dynamic equilibrium models with time-varying and non-Gaussian risk. We offer analytical formulas and conditions for their local existence and uniqueness. We apply this approximation technique to models featuring Campbell-Cochrane habits, recursive preferences, and time-varying disaster risk, and show how the proposed approximation represents the implications of the model similarly to global solution methods. We show that our approximation of the risky steady state cannot be generically replicated by higher-order perturbations around the deterministic steady state, which cannot account well for the effects of risk in our applications even up to third order. Finally, we argue that our perturbation can be viewed as a generalized version of the heuristic loglinear-lognormal approximations commonly used in the macro-finance literature.