Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart Rural Communities: Action Research in Colombia and Mozambique

This article contributes to the ongoing discussion on rural development programs aligning with the Sustainable Development Goals (SDGs) in the Global South. The research question examines how the Smart Rural Communities (SRC) framework can support the SDGs as an international cooperation model. The article presents findings from fieldwork action research including a critical analysis of the hegemonic discourse on smart cities and provides final recommendations. Additionally, it introduces the concept of SRC. The fieldwork action research was conducted in post-conflict rural areas in Colombia’s Bolivar region and remote settlements in Mozambique’s Cabo Delgado province. Led by Ayuda En Acción in collaboration with co-operatives such as Mundukide Foundation, Alecop, and LKS from Mondragon Co-operative Corporation, these interventions aimed to engage local communities through Living Labs. They utilized Information and Communication Technologies (ICT) and social innovation to promote the well-being of rural residents. The article comprises (i) an introduction; (ii) a literature review; (iii) a presentation of the fieldwork action research in Colombia and Mozambique; (iv) findings from a SWOT analysis and policy recommendations for SRC Living Labs; (v) conclusions addressing the research question. The SRC framework offers valuable insights for international cooperation models striving to achieve the SDGs in the Global South.
Comparison of the medium cutoff dialyzer and postdilution hemodiafiltration on the removal of small and middle molecule uremic toxins

Background The medium cutoff (MCO) dialyzer increases the removal of several middle molecules more effectively than high-flux hemodialysis (HD). However, comparative data addressing the efficacy and safety of MCO dialyzers vs. postdilution hemodiafiltration (HDF) in Korean patients are lacking. Methods Nine patients with chronic HD were included in this pre-post study. Patients underwent HD with an MCO dialyzer for 4 weeks, followed by a 2-week washout period using a high-flux dialyzer to minimize carryover effects, and then turned over to postdilution HDF for 4 weeks. Reduction ratios and differences in the uremic toxins before and after dialysis were calculated from the MCO dialysis, postdilution HDF, and high-flux HD. In the in vitro study, EA.hy926 cells were incubated with dialyzed serum. Results Compared to postdilution HDF, the MCO dialyzer achieved significantly higher reduction ratios for larger middle molecules (myoglobin, kappa free light chain [κFLC], and lambda FLC [λFLC]). Similarly, the differences in myoglobin, κFLC, and λFLC concentrations before and after the last dialysis session were significantly greater in MCO dialysis than in postdilution HDF. The expression of Bax and nuclear factor κB was decreased in the serum after dialysis with the MCO dialyzer than with HDF. Conclusion Compared with high-volume postdilution HDF, MCO dialysis did not provide greater removal of molecules below 12,000 Da, whereas it was superior in the removal of larger uremic middle molecule toxins in patients with kidney failure. Moreover, these results may be expected to have an anti-apoptotic effect on the human endothelium.
Changing the system from within – a response to Hoffmann

Thomas Hoffmann's article proposes a cognitively viable theoretical framework for explaining how constructions can emerge in the history of a language. The case which Hoffmann discusses is the coming into being of the comparative correlative construction of the type The smaller a car is, the easier it is to park in late Old English and early Middle English. While car sizes and parking spaces were perhaps not a matter for discussion among speakers of that time, it was for them as important as it is for us to be able to say that if any two things differ in one respect, then they also differ in another (for details on the construction's semantics, see Beck 1997; Cappelle 2011). In this particular comparative correlative construction, the first part (C1, for ‘clause 1’) is interpreted as standing in a sort of protasis relation to the apodosis-like second part (C2, for ‘clause 2’). That is, this C1C2 construction reflects, in an iconically appropriate way, the order of a hypothetical statement followed by its consequence.
A deep reinforcement learning-based optimization method for long-running applications container deployment

Unlike the short execution cycles of batch jobs, intelligent algorithmic applications typically run in long-cycle containers in the cloud(Long-Running Applications, LRA). Both need to meet strict SLO (service level objective) requirements, consider performance scaling to cope with peak load demands, and face issues such as I/O dependencies and resource contention and interference from coexisting containers. The above greatly complicates container deployment and can easily lead to performance bottlenecks. Therefore, the optimization of LRA-like container deployment is one of the key issues that cannot be avoided and needs to be addressed in the cloud computing model. This research uses deep reinforcement learning (DRL) to optimize the deployment of LRAs class containers. The proposed non-generic model is able to customize a dedicated model for each container group, providing high-quality placement and low training complexity; meanwhile, the proposed batch deployment scheme is able to optimize various scheduling objectives that are not directly supported by existing constraint-based schedulers, such as minimizing SLO violations. The experimental results show that the performance of the DRL deployment algorithm improves by 56.2% compared to the average RPS of the baseline, indicating that the manual deployment scheme can only meet the basic requirements but cannot cover the complex interactions between containers under constraints from a global perspective. This limitation severely limits the performance of the whole pod. Meanwhile, based on previous experience, the time consumption of a single deployment scheme is about 1 hour, while the time consumption of the DRL deployment algorithm may be less than 7.5 minutes.
Interferometric measurement of rotationally symmetric aspheric surfaces

A new method for measuring the surface of aspheric optics using a combination of two interferometric technologies is presented. The metrology method provides a 3D measurement with high data density in a short measurement time without the need for special tooling. The measurement technique is inherently insensitive to ray trace error and can be used on the shop floor. It covers a large range of aspheric departures and delivers very small measurement uncertainties.
Crowd counting using Yolov5 and KCF

Crowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible. Detectors in the overlapping zone may therefore overreact. In this paper, real-time people counting is proposed using a proposed model of the YOLOv5 (You Only Look Once) algorithm and KCF (kernel correlation filter) algorithm. The YOLOv5 algorithm was used because it is considered one of the most accurate algorithms for detecting people in real time. Despite the high accuracy of the YOLOv5 algorithm in detecting the people in the image, video or real-time camera capturing, it needs an increase in speed. For this reason, the YOLOv5 algorithm was combined with the KCF tracking algorithm. Where the YOLOv5 algorithm identifies people to be tracked by the KCF. The YOLOv5 algorithm was trained on a database of people, and the system's accuracy reached 98%. The speed of the proposed system was increased after adding the KCF.
Is There a CME Rate Floor? CME and Magnetic Flux Values for the Last Four Solar Cycle Minima

The recent prolonged activity minimum has led to the question of whether there is a base level of the solar magnetic field evolution that yields a “floor” in activity levels and also in the solar wind magnetic field strength. Recently, a flux transport model coupled with magneto-frictional simulations has been used to simulate the continuous magnetic field evolution in the global solar corona for over 15 years, from 1996 to 2012. Flux rope eruptions in the simulations are estimated (Yeates), and the results are in remarkable agreement with the shape of the SOlar Heliospheric Observatory/Large Angle and Spectrometric Coronagraph Experiment coronal mass ejection (CME) rate distribution. The eruption rates at the two recent minima approximate the observed-corrected CME rates, supporting the idea of a base level of solar magnetic activity. In this paper, we address this issue by comparing annual averages of the CME occurrence rates during the last four solar cycle minima with several tracers of the global solar magnetic field. We conclude that CME activity never ceases during a cycle, but maintains a base level of 1 CME every 1.5 to ∼3 days during minima. We discuss the sources of these CMEs.
Computing the Lagrange resolvent by effectiveness of Galois Theorem

In this article, we introduce a new method to calculate Lagrange resolvent. This technique is based on Lagrange's algorithm and it enables to calculate algebraically the resolvent. This algorithm is based on the fundamental theorem of symmetric functions:we generalize the effectivity of this theorem to any surgroup of the Galois's group of the polynomial.
A Fractional Complex Permittivity Model of Media with Dielectric Relaxation

In this work, we propose a fractional complex permittivity model of dielectric media with memory. Debye’s generalized equation, expressed in terms of the phenomenological coefficients, is replaced with the corresponding differential equation by applying Caputo’s fractional derivative. We observe how fractional order depends on the frequency band of excitation energy in accordance with the 2nd Principle of Thermodynamics. The model obtained is validated with respect to the measurements made on the biological tissues and in particular on the human aorta.
On certain Mathematical Problems in two-photon laser Scanning microscopy

In an earlier paper, we derived the distribution of the number of photons detected in two-photon laser scanning microscopy when the counter has a dead period. We assumed a Poisson number of emissions, exponential waiting times, and an infinite time horizon, and used an equivalent inhomogeneous Poisson process formulation. We then used that result to improve image quality as measured by the signal-to-noise ratio. Here, we extend that study in two directions. First, we treat the finite-horizon case to assess the accuracy of the simpler infinite-horizon approximation. Second, we use a direct approach by conditioning on the Poisson count for the infinite-horizon case to derive several polynomial identities.
Regulation of data-driven marketing and management theory: bibliometric analysis, systematic literature review and research agenda

Purpose Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions. Design/methodology/approach The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda. Findings The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research. Originality/value To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.
How Do Trucking Carriers Differ from Third-Party Logistics, Couriers, and Private Fleets in Their Resilience?

Transportation is a highly affected sector during the COVID-19 pandemic, and trucking comprises most of Indonesia's transportation market share. Hence, more research in this transportation sector is critical for enhancing Indonesian supply chain performance. This research highlight the comparative analysis across different segment of trucking companies on the resilience factors highlighted during the COVID-19 outbreak. The questionnaires were distributed to some Indonesian trucking associations with 33 private fleets, 101 trucking carriers, and 56 third-party logistics and courier participants. Partial Least Square Structural Equation modeling was used for the statistical analysis. This research reveals that financial resources management significantly enhances company resilience and performance of the private fleets, while third-party logistics and couriers mainly rely on business continuity management and finances. Truck carrier highlights a broader range of resilience factors involving financial resource management, resilient leadership, risk and business continuity management to enhance company resilience, emphasizing innovative digitalization technology and finances in correlation to company performance. This study provides managerial insight into different trucking segments and opens the possibility of extending the business and diversifying the investment.
Applying Source Separation to Music

Separation of existing audio into remixable elements is very useful to repurpose music audio. Applications include upmixing video soundtracks to surround sound (e.g. home theater 5.1 systems), facilitating music transcriptions, allowing better mashups and remixes for disk jockeys, and rebalancing sound levels on multiple instruments or voices recorded simultaneously to a single track. In this chapter, we provide an overview of the algorithms and approaches designed to address the challenges and opportunities in music. Where applicable, we also introduce commonalities and links to source separation for video soundtracks, since many musical scenarios involve video soundtracks (e.g. YouTube recordings of live concerts, movie sound tracks). While space prohibits describing every method in detail, we include detail on representative music‐specific algorithms and approaches not covered in other chapters. The intent is to give the reader a high‐level understanding of the workings of key exemplars of the source separation approaches applied in this domain.
A Computational Method for n- Dimensional Laplace Transforms Involved with Fourier Cosine Transform

In 2007, the author published some results on n-dimensional Laplace transform involved with the Fourier sine transform. In this paper, we propose some new result in n-dimensional Laplace transforms involved with Fourier cosine transform; these results provide few algorithms for evaluating some n-dimensional Laplace transform pairs. In addition, some examples are also presented, which explain the useful applications of the obtained results. Therefore, one can produce some twoand threeas well as ndimensional Laplace transforms pairs.
Strategi ketidaksantunan berbahasa dalam film Taksi (1990): kajian pragmatik

Penelitian ini bertujuan untuk mendeskripsikan ketidaksantunan berbahasa pada film Taksi. Dalam penelitian ini, pengumpulan data menggunakan teknik simak bebas libat cakap dan teknik catat. Berdasarkan hasil analisis data, strategi ketidaksantunan berbahasa yang ditemukan dalam film Taksi berjumlah 29 kata yang terdiri atas 4 data berupa ketidaksantunan Bald on Record; ketidaksantunan positif ditemukan 2 data berupa penggunaan umpatan atau kata- kasar, dan 10 data berupa penggunaan sebutan atau julukan yang tidak pantas atau menghina; ketidaksantunan negatif ditemukan 3 data berupa mencemooh atau mencela orang lain, 2 data berupa memperlakukan orang lain dengan semena-mena, 4 data berupa meremehkan atau memudahkan orang lain, 2 data berupa mengaitkan mitra tutur dengan hal-hal negatif, dan 2 data berupa menakuti-nakuti. Hasil analisis dalam penelitian ini didominasi dengan jenis ketidaksantunan positif dengan bentuk penggunaan sebutan atau julukan yang tidak pantas atau menghina karena dapat dikatakan film pada rentang tahun 1980-1990 merupakan film lama yang masih menggunakan kebahasaan terus terang dalam bertutur.
Numerical Computation of Fission-Product Poisoning Build-up and Burn-up Rate in a Finite Cylindrical Nuclear Reactor Core

All fission products are classified as reactor poisons because they absorb neutrons to some extent, most of which buildup slowly as the fuel burns up and eventually constitutes a long term reactivity effect in the core. Amidst the numerous fission fragments produced per fission, the presence of Xenon-135 and Samarium-149 has the greatest effect on a reactor core multiplication factor because of their large absorption cross-sections. In this study, we present a modified one-group time independent neutron diffusion equation using the method of Eigen functions and also provided an algorithm to calculate the temperature variations of the neutron fluxes. The solution obtained from the diffusion equation was used to determine the initial thermal neutron flux needed for the reactor startup. The four basic fission-product poisoning buildup and burn-up rate equations were solved using direct integration method and constant flux approximation over a particular time interval. Furthermore, a computer algorithm called Java code for Fission-Product Poisioning Build-up and Burn-up (Jac-FPPB) code was designed to calculate the temperature variations of the neutron fluxes, fission -isotopes cross sections and the atom concentrations of the fission products over a given time interval. The result from Jac-FPPB code showed that the neutron fluxes and neutron energies increase as the temperature of the fuel increases. In addition, the computed atom concentrations of each fission isotopes at any given time interval showed that the isotopes increasingly build up steadily at the initial time interval and rises to a constant level where the buildup rate of the isotopes approximately equals its burn up rate. This study concluded that the designed algorithm (JaC-FPBB code) proved efficient as it could compute the build-up and burn-up rates for the two important fission fragments in a nuclear reactor core. The code is easily accessible and could serve as a tool for the development of nuclear energy in developing countries, especially Nigeria.
Simulation Study of Space Vector Pulse Width Modulation Feeding a Three Phase Induction Motor

Induction motors are widely used in both industrial and household applications due to their excellent specifications. They are simple in structure(An induction motor does not require mechanical commutation, separate-excited or selfexcitation for all or part of the energy transferred from stator to rotor, as in universal, DC and large synchronous motors.), rugged, reliable (maintenance less) and economical.
Unique opportunities to sample parameter space using physics-based synthetic x-ray data

Physics-based synthetic data generation has been shown to complement empirical data in the rapid development of robust algorithms as well as their testing and interpretation. Quadridox’s QSim RT framework can generate rapidly large volumes of realistic X-ray data and associated metadata; while this data can be made to match traditional empirical data collections, the true value of physics-based synthetic data resides in the ways that it goes beyond empirical data to fully explore and map out the parameter space in which the data resides.
3D bioprinting—a model for skin aging

Abstract Human lifespan continues to extend as an unprecedented number of people reach their seventh and eighth decades of life, unveiling chronic conditions that affect the older adult. Age-related skin conditions include senile purpura, seborrheic keratoses, pemphigus vulgaris, bullous pemphigoid, diabetic foot wounds and skin cancer. Current methods of drug testing prior to clinical trials require the use of pre-clinical animal models, which are often unable to adequately replicate human skin response. Therefore, a reliable model for aged human skin is needed. The current challenges in developing an aged human skin model include the intrinsic variability in skin architecture from person to person. An ideal skin model would incorporate innate functionality such as sensation, vascularization and regeneration. The advent of 3D bioprinting allows us to create human skin equivalent for use as clinical-grade surgical graft, for drug testing and other needs. In this review, we describe the process of human skin aging and outline the steps to create an aged skin model with 3D bioprinting using skin cells (i.e. keratinocytes, fibroblasts and melanocytes). We also provide an overview of current bioprinted skin models, associated limitations and direction for future research.
Mantle flow underneath the South China Sea revealed by seismic anisotropy

ABSTRACT It has long been established that plastic flow in the asthenosphere interacts constantly with the overlying lithosphere and plays a pivotal role in controlling the occurrence of geohazards such as earthquakes and volcanic eruptions. Unfortunately, accurately characterizing the direction and lateral extents of the mantle flow field is notoriously difficult, especially in oceanic areas where deployment of ocean bottom seismometers (OBSs) is expensive and thus rare. In this study, by applying shear wave splitting analyses to a dataset recorded by an OBS array that we deployed between mid-2019 and mid-2020 in the South China Sea (SCS), we show that the dominant mantle flow field has a NNW–SSE orientation, which can be attributed to mantle flow extruded from the Tibetan Plateau by the ongoing Indian–Eurasian collision. In addition, the results suggest that E–W oriented flow fields observed in South China and the Indochina Peninsula do not extend to the central SCS.
Robust control and data‐driven tuning of a hybrid integrator‐gain system with applications to wafer scanners

A hybrid integrator‐gain system is discussed that aims for improved low‐frequency disturbance rejection, while, at the same time, does not deteriorate overshoot and settling times when compared with a linear integrator. The hybrid integrator has similar phase advantages as the well‐known Clegg integrator but without inducing the discontinuous behavior resulting from resetting system state values. Optimal tuning of the controller parameters of the hybrid integrator is strongly influenced by machine‐specific properties and therefore favors a data‐driven optimization approach. However, as a time‐domain optimization algorithm can easily lead to nonrobust solutions in the sense of large peaking of the closed‐loop frequency response functions, frequency‐domain robustness constraints will be imposed. By means of an adaptive weighting filter design, the parameter updates are penalized upon violation of said robustness constraints. Posed in an unconstrained problem formulation, this is subsequently solved by applying a Gauss‐Newton–based parameter update scheme. Closed‐loop stability of the linear time‐invariant plant and controller in feedback connection with a hybrid integrator‐gain system element follows from a circle‐criterion‐like analysis, which is based on evaluating (measured) frequency response data. Measurement results obtained from an industrial wafer scanner demonstrate the effectiveness of the approach.