Miracle-dz/UniFAR-FTUs huggingface dataset:
Platelet Membrane–Encapsulated MSNs Loaded with SS31 Peptide Alleviate Myocardial Ischemia-Reperfusion Injury

Clinically, antioxidant therapy is a potential strategy for myocardial ischemia-reperfusion injury (MI/RI), a common complication of acute myocardial ischemia. The H-D-Arg-Dmt-Ly-Phe-NH2 (SS31) peptide is shown to have amazing antioxidant properties, but its utilization is limited by the peptide characteristics, such as the destruction by proteases and rapid metabolism. Silica nanoparticles (MSNs) comprise an excellent material for peptide delivery, owing to the protection effect relating to peptides. Moreover, platelet membrane (PLTM) is shown to be advantageous as a coat for nanosystems because of its specific protein composition, such that a PLTM-coated nanosystem has a stealth effect in vivo, able to target injury in the cardiovascular system. Based on this feature, we designed and prepared a novel nanocarrier to target SS31 delivery. This carrier is encapsulated by a platelet membrane and loaded with SS31 peptide into MSNs. The results reveal that this delivery system can target SS31 to the injured cardiovascular site, exert antioxidant function, and alleviate MI/RI.
Dual-frequency resonant phonon scattering in BaxRyCo4Sb12 （R=La, Ce and Sr）

Low temperature transport properties of polycrystalline dual-element-filled skutterudites BaxRyCo4Sb12 (R=La, Ce, and Sr) are reported. Remarkably the combination of Ba and La or Ba and Ce is much more effective in reducing lattice thermal conductivity (κL) than Ba and Sr. The density-functional theory calculations and experimental data suggest that multiple-filled skutterudites using filler elements of different chemical natures, such as the rare earths, the alkaline earths, or the alkalines provide a broader range of resonant phonon scattering. The thermoelectric figure of merit of filled skutterudites can likely be improved by means of such multiple-element void filling.
Dampak Penerapan Surabaya Intelligent Transport System Bagi Warga Surabaya

Abstract This study aims to describe the impact of the implementation of the Surabaya Intelligent Transport System for Surabaya residents. The method used in this research is descriptive qualitative research method. The selection of informants was done by purposive sampling. Data obtained through interviews, observation and documentation. The location of the research was carried out in the city of Surabaya, especially on Jalan Bratang Jaya No. 38, Baratajaya, Gubeng, Surabaya and the Surabaya City Transportation Service which was located on Jl. Dukuh Dates No. 1 Surabaya. The data analysis technique used qualitative analysis. The results of individual research-the perceived impact of the existence of this SITS service is not very significant; The impact on the implementing organization, namely the Surabaya City Transportation Service - the SITS service has an impact on the assistance of existing operational processes at the Surabaya City Transportation Service; Impact on society- Mostly helped by the existence of SITS. The main aspects of SITS are providing driving safety and preventing accidents so as to minimize property losses due to accidents. Keywords: impact, Surabaya Intelligent Transport System, citizens. Abstrak Penelitian ini bertujuan untuk mendeskripsikan Dampak Penerapan Surabaya Intelligent Transport System Bagi Warga Surabaya. Metode yang digunakan dalam penelitian ini adalah metode penelitian kualitatif deskriptif. Pemilihan informan dilakukan dengan purposive sampling. Data didapatkan melalui wawancara, observasi dan dokumentasi. Lokasi penelitian dilakukan di Kota Surabaya khusunya pada Jalan Bratang Jaya No.38, Baratajaya, Gubeng, Surabaya dan Dinas Perhubungan Kota Surabaya yang terletak di Jl. Dukuh Menanggal No. 1 Surabaya. Teknik analisis data menggunakan analisis kualitatif. Hasil penelitian individu-dampak yang dirasakan dari adanya pelayanan SITS ini tidak terlalu sigiifikan; Dampak pada organisasional pelaksana yaitu Dinas Perhunbungan Kota Surabaya -pelayanan SITS memberikan dampak pada terbantunya proses operasional yang ada ada di Dinas Perhubungan Kota Surabaya; Dampak pada masyarakat-Sebagian besar terbantu dengan keberadaan SITS. aspek penting SITS utamanya pada Memberikan keamananan berkendara serta melakukan pencegahan terjadinya kecelakaan sehingga meminimalisir terjadinya kerugian harta akibat terjadinya kecelakaan. Kata kunci: dampak, Surabaya Intelligent Transport System, warga
Possible potentials responsible for stable circular relativistic orbits

Bertrand's theorem in classical mechanics of the central force fields attracts us because of its predictive power. It categorically proves that there can only be two types of forces which can produce stable, circular orbits. In this paper an attempt has been made to generalize Bertrand's theorem to the central force problem of relativistic systems. The stability criterion for potentials which can produce stable, circular orbits in the relativistic central force problem has been deduced and a general solution of it is presented. It is seen that the inverse square law passes the relativistic test but the kind of force required for simple harmonic motion does not. Special relativistic effects do not allow stable, circular orbits in the presence of a force which is proportional to the negative of the displacement of the particle from the potential centre.
Influence of bio-fertilizers and growth regulators for enhancing yield and yield attributes of Indian mustard (Brassica juncea L.) grown under rainfed condition

A field study was conducted during Rabi season of two consecutive years 2019 and 2020 in Crop ResearchFarm at Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh,India to determine the role of biofertilizer and growth regulators on production of Indian mustard (Brassicajuncea L.). For the yield and yield parameter viz., seed yield (1.943 and 2.034 t/ha), stover yield (6.747 and6.964), harvest index (22.31 and 22.56 %) and test weight (3.38 and 3.47 g) significantly higher were recordedduring the years 2019-20 and 2020-21 in treatment combination B4 (PSB + VAM + Azotobacter), respectively.Among the growth regulators results revealed that is significantly higher recorded the seed yield (1.842and 1.978 t/ha) and stover yield (6.768 and 6.954 t/ha) during the years 2019-20 and 2020-21, respectivelyin the treatment G1 [Gibberellic acid 50 ppm (0.05 g/l)].
Entire solutions to semilinear nonlocal equations in $R^2$

We consider entire solutions to $L u= f(u)$ in $R^2$, where $L$ is a general nonlocal operator with kernel $K(y)$. Under certain natural assumtions on the operator $L$, we show that any stable solution is a 1D solution. In particular, our result applies to any solution $u$ which is monotone in one direction. Compared to other proofs of the De Giorgi type results on nonlocal equations, our method is the first successfull attempt to use the Liouville theorem approach to get flatness of the level sets.
An Analysis of Noise in Multi-Bit ΣΔ Modulators with Low-Frequency Input Signals

Digital and smart sensors are commonly implemented using multi-bit ΣΔ Modulators. Undesired signals can be present at the ADC input, such as low-frequency signals with medium or high amplitude, as a consequence of mechanical artifacts in the MEMS and/or temporary signal overload. Simulations and measurements of those sensors with such signals show temporary increments of in-band noise power. This paper investigates the factors that produce this transient performance loss. Interestingly, noise increments happen when the modulator is forced to toggle between three adjacent levels and is not correlated with the typical tonal behavior of ΣΔ Modulators. Hence, the sensor performance is sensitive to some specific input patterns even if tonal behavior is decreased by dithering the input of the ADC. Different error sources, such as the mismatch between DAC cells, loop filter linearity error, and quantization error, contribute to the observed noise increments. Our aim is to analyze each of these error sources to understand and quantify in-band noise power increments, and to desensitize the ADC from the undesired input patterns. Some estimation equations are proposed and verified through extensive simulations, by means of deterministic and stochastic methods. These equations are influenced by some modulator parameters and can be used to optimize them in order to reduce such in-band noise power increments.
From Genes to Geography, from Cells to Community, from Biomolecules to Behaviors: The Importance of Social Determinants of Health

Much scientific work over the past few decades has linked health outcomes and disease risk to genomics, to derive a better understanding of disease mechanisms at the genetic and molecular level. However, genomics alone does not quite capture the full picture of one’s overall health. Modern computational biomedical research is moving in the direction of including social/environmental factors that ultimately affect quality of life and health outcomes at both the population and individual level. The future of studying disease now lies at the hands of the social determinants of health (SDOH) to answer pressing clinical questions and address healthcare disparities across population groups through its integration into electronic health records (EHRs). In this perspective article, we argue that the SDOH are the future of disease risk and health outcomes studies due to their vast coverage of a patient’s overall health. SDOH data availability in EHRs has improved tremendously over the years with EHR toolkits, diagnosis codes, wearable devices, and census tract information to study disease risk. We discuss the availability of SDOH data, challenges in SDOH implementation, its future in real-world evidence studies, and the next steps to report study outcomes in an equitable and actionable way.
A IPOS Bridgeless PFC Cuk Converter Fed BLDC Motor Drive For Household Applications

This article presents input parallel output series (IPOS) bridge-less power factor correction (BL-PFC) non-isolated Cuk converter fed brush-less DC motor (BLDCM) drive. The proposed IPOS BL-PFC Cuk converter is theoretically analyzed and designed for BLDCM drive. Subsequently, voltage follower mode control technique has been implemented for converter to obtain variable output voltage for motor speed control. Also this control ensures unity power factor operation and require only one sensor for converter control. Selection of converter inductors and capacitors are made on the basis of continuous input current and discontinuous output current to have zero current switching of converter devices. Further, BLDCM is operated at fixed frequency fundamental switching signals obtained from hall position sensors to avoid switching losses during high frequency variable switching of BLDCM inverter. Lastly, BLDC drive performance under steady-state and dynamic situations is observed using MATLAB/Simulink software to check IPOS BL-PFC based BLDCM drive applicability in household applications.
INTERPOLATION OF LOW-ORDER HRTF FILTERS USING A ZERO DISPLACEMENT MEASURE

Head-related transfer functions (HRTF) are generally measured at discrete azimuth and elevation values. Continuous motion of virtual sound images can only be obtained by interpolation of HRTFs for intermediate azimuth and elevation values in an immersive audio system. HRTFs can be modelled as a combination of low-order minimum-phase finite impulse response (FIR) filters and a constant delay line. A new method for interpolation of FIR filter zeros using a proximity-based vectorial displacement measure is proposed in this work
Association of the Estimated Pulse Wave Velocity with Cardio-Vascular Disease Outcomes among Men and Women Aged 40–69 Years in the Korean Population: An 18-Year Follow-Up Report on the Ansung–Ansan Cohort in the Korean Genome Environment Study

The estimated pulse wave velocity (ePWV) can predict adverse cardiovascular disease (CVD) outcomes in patients with increased CVD risks. However, data on its predictive capacity for CVD outcomes in the general population are limited. This study aimed to investigate the association between the ePWV and CVD outcomes among Korean adults. Ten thousand thirty patients aged 40–69 years from the Ansung–Ansan cohort in a prospective community-based cohort study were followed up for over 18 years. The ePWV was categorized into quartiles. Cox proportional hazard models were used to estimate the risk of cardiovascular (CV) mortality and CVD outcomes (composites of CV mortality, myocardial infarction, coronary artery disease, stroke, heart failure, and peripheral artery disease). The incidence of CV mortality and CVD outcomes was 7.0% and 22.1% in the fourth (highest) ePWV quartile and 0.1% and 4.5% in the first (lowest) quartile, respectively. After relevant covariate adjustments, the patients in the fourth quartile showed a significantly higher CV mortality risk (hazard ratio (HR), 7.57; 95% confidence interval (CI), 1.83–31.25). The patients in the third and fourth quartiles had higher CVD outcome risks (third: HR, 1.61; 95% CI, 1.19–2.16; fourth: HR, 1.56; 95% CI, 1.05–2.31) than those in the first quartile. This association was more clearly observed among women than among men. An elevated ePWV is associated with CV mortality and CVD outcomes. The ePWV is expected to serve as a potential marker for identifying high-risk groups for CVD events.
Deep Neural Networks for Rapid Simulation of Planar Microwave Circuits Based on Their Layouts

This article demonstrates a deep learning (DL)-based methodology for the rapid simulation of planar microwave circuits based on their layouts. We train convolutional neural networks (CNNs) to compute the scattering parameters of general, two-port circuits consisting of a metallization layer printed on a grounded dielectric substrate, by processing the metallization pattern along with the thickness and dielectric permittivity of the substrate. This approach harnesses the efficiency of CNNs with pattern recognition tasks and extends previous efforts to employ neural networks for the simulation of parameterized circuit geometries. Furthermore, we integrate this CNN in a hybrid network with a long-short term memory (LSTM) module that uses coarse mesh finite-difference time-domain (FDTD) simulation data as an additional input. We show that this hybrid network is computationally efficient and generalizable, accurately modeling geometries well beyond those that the network has previously seen.
Pyrethroid-Resistant and Susceptible Triatoma infestans (Klug, 1834) (Hemiptera, Triatominae): Analysis of Their Vectorial Characteristics by Metacyclogenesis, Feeding/Defecation Patterns, and Parasite Load

Populations of Triatomas infestans with different susceptibility to pyrethroid insecticides were reported to have distinct evolutionary and epidemiological characteristics. We aimed at evaluating metacyclogenesis and parasite load as measures of vector competence and feeding/defecation patterns as vectorial capacity estimates of a group of resistant (“R”) and susceptible (“S”) T. infestans. Third instar nymphs of each group were fed on mice infected with Trypanosoma cruzi (Tulahuén strain, DTU VI). Parasite concentration in blood was quantified by real-time PCR (qPCR) for each mouse. The time at which feeding started, the span of feeding, the volume of blood consumed, and the time taken to defecate were measured. At 30 days post-feeding, feces were analyzed in parallel by optical microscopy (percentage of metacyclic trypomastigotes, % MT), and qPCR (total T. cruzi DNA). The ratio of parasites consumed/defecated by nymphs of each group was used to estimate the parasites’ survival and multiplication inside the triatomines’ gut. It was estimated that for each blood trypomastigote consumed, 6.6 parasites were obtained in the feces of “R” nymphs, and 7.9 in “S”. “R” nymphs consumed a higher volume of blood, had lower % MT in their feces (lower vectorial competence), and took longer to defecate (lower vectorial capacity) than “S”.
Mutually unbiased bases and bound entanglement

In this contribution we relate two different key concepts: mutually unbiased bases (MUBs) and entanglement. We provide a general toolbox for analyzing and comparing entanglement of quantum states for different dimensions and numbers of particles. In particular we focus on bound entanglement, i.e. highly mixed states which cannot be distilled by local operations and classical communications. For a certain class of states—for which the state-space forms a ‘magic’ simplex—we analyze the set of bound entangled states detected by the MUB criterion for different dimensions d and number of particles n. We find that the geometry is similar for different d and n, consequently the MUB criterion opens possibilities to investigate the typicality of positivity under partial transposition (PPT)-bound and multipartite bound entanglement more deeply and provides a simple experimentally feasible tool to detect bound entanglement.
Nerezektabilios piktybinės pleuros mezoteliomos pirmaeilis gydymas nivolumabu ir ipilimumabu

Pastaraisiais metais imuninės kontrolės taškų inhibitoriai, kurių veikimas pagrįstas priešnavikinio imuninio atsako atkūrimu, labai pakeitė įvairių lokalizacijų vėžio gydymą. Klinikinių tyrimų duomenimis, nivolumabo ir ipilimumabo derinys pagerina bendrojo išgyvenamumo rezultatus melanomos, inkstų naviko ir nesmulkių ląstelių plaučių karcinomos atveju. Šiame straipsnyje pateikiami trečiosios fazės atsitiktinių imčių klinikinio tyrimo CheckMate 743 duomenys, gauti vertinant nivolumabo ir ipilimumabo veiksmingumą ir saugumą pirmos eilės nerezektabilios piktybinės pleuros mezoteliomos (PPM) gydymui, lyginant su standartine chemoterapija platinos pagrindu ir pemetreksedu. Į klinikinį tyrimą įtraukta 713 pacientų, iš kurių 605 atitiko kriterijus ir atsitiktine tvarka paskirti į nivolumabo ir ipilimumabo grupę (n = 303) arba chemoterapijos grupę. Tarpinės analizės duomenimis, nivolumabas ir ipilimumabas statistiškai reikšmingai pagerino bendrąjį išgyvenamumą, lyginant su chemoterapijos grupe. Remiantis šiais rezultatais Jungtinių Amerikos Valstijų (JAV) Maisto ir vaistų administracija ir Europos vaistų agentūra nivolumabo ir ipilimumabo derinį patvirtino pirmaeiliam neoperabilios PPM gydymui.
Efficient Rigid Body Localization Based on Euclidean Distance Matrix Completion for AGV Positioning Under Harsh Environment

In applications for automatic guided vehicle (AGV) navigation , the positioning system based on the time-of-flight (TOF) measurements between anchors and tags is confronted with the problem of insufficient measurements caused by blockages to radio signals or lasers, etc. Mounting multiple tags at different positions of the AGV to collect more TOFs is a feasible solution. Vehicle localization by exploiting the measurements between multiple tags and anchors is a rigid body localization (RBL) problem. However, to the best of the authors' knowledge, the state-of-the-art RBL solutions do not deal with missing measurements, and thus will result in degraded localization availability and accuracy in harsh environments. In this paper, we model this problem as a sensor network localization problem with missing TOFs and propose a new efficient RBL solution based on Euclidean distance matrix (EDM) completion, abbreviated as ERBL-EDMC. Firstly, we develop a method to determine the bounds of the missing measurements to complete the EDM reliably, using the known relative positions between tags and the statistics of the TOFs. Then, based on the completed EDM, the global tag positions are obtained from a coarse estimation followed by a refinement step assisted with inter-tag distances. Finally, the optimal results are obtained iteratively based on the estimated tag positions from the previous step. Theoretical analysis and simulation results show that the ERBL-EDMC method effectively solves the RBL problem with incomplete measurements. It obtains the optimal positioning results while maintaining low computational complexity compared with the existing RBL methods based on semi-definite relaxation (SDR).
Semi Wireless Underwater Rescue Drone with Robotic Arm

Wireless communication with underwater drones plays a vital role in rescuing an after-ship accident, and it is considered one of the most challenging technologies nowadays. The wireless underwater drone also contributes significantly to navy, gas and oil companies, underwater infrastructure, aquaculture industry, commercial diving, and deep archeological investigations. Bangladesh, a developing country with many rivers and seashores used by many water transport vehicles, faces boat and ship accidents as a typical scenario every year. Many lives, dead bodies, ships, boats, and valuable objects do not get rescued because of the lifetime risk of the divers or the rescue team. The rescue operation is exceptionally troublesome because of the absence of wireless underwater drone technology at the cheapest cost, whose innovation and function are very challenging for Bangladesh. Considering these problematic situations, in this paper, we have proposed a prototype of a semi wireless underwater drone designed and structured with the best quality PVC pipe of 6mm diameter, considering the weight as lowest as possible, maintaining its buoyancy properly. In this prototype, we have used three propellers, each connected with three servo motors, to move it up, down, back, and forth. A robotic arm is also utilized to rescue objects from under the water, and a 4K HD EKEN camera and two waterproof fog lights to search and visualize underwater objects on the mobile screen from the land. For wireless communication between the controller and the drone, we have used two nRF24L01 modules; one is for the controller, and the other is for the drone’s receiver to send and obtain the signals from the controller to the drone. 12V and 24V lithium-ion batteries are employed as power sources for the controller and receiver, respectively. Finally, real experimental tests of the proposed underwater device were performed in a swimming pool facility.
Modelling the distribution performance in dairy industry: A predictive analysis

Background: Predictive analysis is a vital element to operations management as it facilitates real-time decision making and advanced planning on both strategy and performance. This paper identifies predictors to measure distribution performance in the dairy industry and to establish their importance. Methods: A distribution model is developed through exploratory structural equation modelling (SEM) techniques. The key performance predictors are marketing and distribution management, quality management, supply chain coordination, and brand management, which account for 71.5% of the variability in distribution performance. Results and conclusion : The predictors help improving the distribution performance, specifically in quality, order fill rate, and food safety. The outcomes of this research can help dairy professionals in managing their distribution channels, improving traceability, on-time delivery, and shipment accuracy. Consequently, these factors can improve distribution performance. Four predictors are elicited from the data to estimate the distribution performance and the relative importance of predictors is also established. analysis.