Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Developments in the Treatment of Multiple Myeloma-Associated Bone Disease

Simple Summary Multiple myeloma is the second most common hematological malignancy, and the majority of patients have osteolytic lesions by the time of diagnosis. Bone destruction increases the risk of fractures and spinal cord compression, reduces quality of life, and is associated with increased mortality. This paper focuses on current and novel medical and surgical treatment modalities and improvements in prevention and the treatment of therapy-related complications, in particular, medication-related osteonecrosis of the jaw. A special focus reviews new promising targets in the bone marrow microenvironment. Abstract Osteolytic bone disease is present in about 80% of patients with multiple myeloma at the time of diagnosis. Managing bone disease in patients with multiple myeloma is a challenge and requires a multi-faceted treatment approach with medication, surgery, and radiation. The established treatments with intravenous or subcutaneous antiresorptives can cause debilitating adverse events for patients, mainly osteonecrosis of the jaw, which, traditionally, has been difficult to manage. Now, oral surgery is recommended and proven successful in 60–85% of patients. Patients with spinal involvement may benefit from surgery in the form of vertebroplasty and kyphoplasty for pain relief, improved mobility, and reestablished sagittal balance, as well as the restoration of vertebral height. These procedures are considered safe, but the full therapeutic impact needs to be investigated further. Ixazomib, the first oral proteasome inhibitor, increases osteoblast differentiation, and recently published preliminary results in patients treated with Ixazomib maintenance have promisingly shown increased trabecular volume caused by prolonged bone formation activity. Other novel potential treatment strategies are discussed as well.
Estimating the Infection Spread Rate of Malicious Botnets Using Reconnaissance Worms in Botnet Defense System

In this paper, we propose a method for estimating the infection spread rate of malicious botnets in Botnet Defense Systems (BDS), a cybersecurity system designed to eliminate malicious botnets. The proposed method involves moving white-hat worms along pre-defined routes rather than diffusing them randomly. This approach is expected to eliminate observation biases. However, this approach prevents the BDS from obtaining observation results until the worm passes through the unobserved area. Therefore, the route of the worm was carefully designed so that BDS could obtain early observations. Our simulation result shows that the proposed method can estimate the infection spread rate with more than 90% accuracy. The proposed method enables strategy planning according to the value of the infection spread rate and can contribute to the effective elimination of malicious botnets by BDS.
Architectures for Processing Large Data Arrays in Distributed Systems Based on Open Source Frameworks

Currently, relational and object-relational databases have become the de facto standard for organizing data storage in most information systems. But such structures are not suitable for volumes of information that cannot be processed by the capacity of a single server. To process such big data, databases with a key-value structure are used. The article discusses the main problems that arise when creating distributed big data repositories and modern technologies that allow these problems to be leveled. There is no single universal solution related to the storage and processing of big data. When choosing technologies and implementing storage, it is important to consider together the tasks that require solutions, technical capabilities, types and regularity of necessary treatments, data features, for example, the frequency of their updates.
Food safety and quality assessment of an automated vending machine for smoothies – A case study

The food robotics revolution is driving a shift in the vending machine sector from conventional pre-packaged sales to on-site food manufacture. As these machines develop into small-scale food processing points, it is critical to guarantee food safety. The implementation of automated Clean-in-Place (CIP) techniques, in addition to manual cleaning, is modelled after food production practices, where hygiene is maintained without direct human intervention. These days, running these modern, multifunctional vending machines requires giving the highest priority to food safety and putting rigorous control measures in practice.This case study aimed to implement a CIP procedure in a vending machine and assess microbial contamination. Water, blender, and smoothies were microbiologically analyzed to evaluate the microbial safety of ingredients, equipment, and the final product.Microbiological analysis showed that none of the samples was contaminated with three major pathogens: Listeria monocytogenes, Salmonella spp. , and Escherichia coli. This study showed the importance of the Clean-in-Place (CIP) process in automated vending machines.
The actin-bundling protein, PLS3, is part of the mechanoresponsive machinery that regulates osteoblast mineralization

Plastin-3 (PLS3) is a calcium-sensitive actin-bundling protein that has recently been linked to the development of childhood-onset osteoporosis. Clinical data suggest that PLS3 mutations lead to a defect in osteoblast function, however the underlying mechanism remains elusive. To investigate the role of PLS3 in bone mineralization, we generated MC3T3-E1 preosteoblast cells that are stably depleted of PLS3. Analysis of osteogenic differentiation of control and PLS3 knockdown (PLS3 KD) cells showed that depletion of PLS3 does not alter the first stage of osteoblast mineralization in which a collagen matrix is deposited, but severely affects the subsequent mineralization of that matrix. During this phase, osteoblasts heavily rely on mechanosensitive signaling pathways to sustain mineral deposition in response to increasing stiffness of the extracellular matrix (ECM). PLS3 prominently localizes to focal adhesions (FAs), which are intricately linked to mechanosensation. In line with this, we observed that depletion of PLS3 rendered osteoblasts unresponsive to changes in ECM stiffness and showed the same cell size, FA lengths and number of FAs when plated on soft (6 kPa) versus stiff (100 kPa) substrates in contrast to control cells, which showed an increased in each of these parameters when plated on 100 kPa substrates. Defective cell spreading of PLS3 KD cells on stiff substrates could be rescued by expression of wildtype PLS3, but not by expression of three PLS3 mutations that were identified in patients with early onset osteoporosis and that have aberrant actin-bundling activity. Altogether, our results show that actin-bundling by PLS3 is part of the mechanosensitive mechanism that promotes osteoblast mineralization and thus begins to elucidate how PLS3 contributes to the development of bone defects such as osteoporosis.
Effects of Organic and Conventional Fertilizing Methods on Microbial Biomass and Enzyme Activity in Brunisolic Soil

In this paper,the effects of different fertilizer treatments on soil microbial biomass carbon(SMBC),nitrogen(SMBN),phosphorus(SMBP) and soil urease,catalase,invertase,neutral phosphatase activities in brunisolic soil were studied.Five treatments which were no fertilizer(CK),chemical fertilizer(F),chemical fertilizer and organic fertilizer at ratios of 1∶3(F1M3) and 3∶1(F3M1),organic fertilizer(M) were laid out.The results were as follows: Compared to CK,the application of fertilizer decreased SMBC/N,the amount of SMBC,SMBN,SMBP and the activities of urease,catalase decreased for the application of chemical fertilizer only,but neutral phosphatase activity tended to increase.The effect of organic fertilizer on SMBC was higher than that of chemical fertilizer combined with organic fertilizer or chemical fertilizer only.For SMBN and SMNP,F1M3 M F3M1 F.The effect of organic fertilizer on soil invertase activity was not apparent.The application of organic fertilizer only had inhibiting effect on phosphatase activity.Generally,soil catalase,invertase and neutral phosphatase activities were correlated with SMBC,SMBN,SMBP.Soil microbiology indicators could effectively distinguish the conventional production applied chemical fertilizer only and organic production applied organic fertilizer only.SMBC could be used to test whether there was application of chemical fertilizer in organic production.
L'île mystérieuse : une approche d'économie politique de la trajectoire longue de Madagascar

Résumé Les théories du développement sont impuissantes à expliquer la contreperformance économique malgache sur longue période. Cet article propose une relecture de l'histoire malgache en mobilisant le cadre d'analyse de l’économie politique en s'appuyant sur un jeu d'enquêtes originales. Nos analyses pointent un certain nombre de facteurs de blocage profonds : fragmentation sociale, atrophie des corps intermédiaires, extrême concentration du pouvoir et théologie politique. Néanmoins, Madagascar a fait montre d'une forte capacité de transformation : transitions économique (avec l'arrivée d'une classe d'entrepreneurs nouveaux) et politique (avec les alternances démocratiques); mise en place d'institutions solides; contrôle de la violence; expression des aspirations économiques et citoyennes de la population.
Versatility of the Osseodensified Crestal Sinus Lifting Technique as Alternative Procedure for the Lateral Sinus Technique with Simultaneous Implant Placement

Aim: Aim of this study was to evaluate osseodensified crestal sinus lifting technique versus the lateral sinus osseodensified technique with Simultaneous Implant Placement. Subjects and methods: Twenty patients were randomly divided into two groups. Group (I) Ten patients were operated upon after performing computer guided crestal sinus lift using Osseodensification with simultaneous implant placement. Group (II) Ten patients were operated upon after performing computer guided lateral sinus lifting technique with simultaneous implant placement. Vertical bone height (mm) and bone density were taken at time of implant placement and 6 months postoperatively. Results: both groups showed a non significant difference in b vertical bone height. Crestal group (I) had showed a significant higher bone density than lateral group (II) (p=<0.001). Crestal group (I) had a significant shorter surgical time than lateral group (II). Conclusion: Crestal sinus lifting technique may be proposed as a possible alternative procedure for the lateral sinus osseodensified technique with Simultaneous Implant Placement.
Model-Free Prescribed Performance Control of Pendulum Systems

The tracking control problem for torsional pendulum systems with unknown control directions and unknown disturbances is investigated in this paper. First, a class of orientation functions are introduced to cope with unknown control directions in lieu of the Nussbaum functions. Then, a prescribed performance controller is designed, which is robust to unknown disturbances. Furthermore, the proposed controller can effectively treat the unknown nonlinearities without invoking the tools for approximation, identification, and estimation. Based on dialectic by contradiction, it is proved that all the signals in the controlled systems are bounded and the tracking performance with the predefined convergence rate and accuracy is achieved. Finally, the feasibility of the proposed algorithm is verified by the simulation results.
Protection of Marine Areas in Kenya

The need for marine protected areas Kenya has a rich diversity of marine and coastal ecosystems. These ecosystems in clude mangrove wetlands, coastal forests, estuaries, sandy beaches and sand dunes, coral reefs, and seagrass beds that support a host of marine and coastal species. The ecosystems constitute an important life-support system for local communities. They supply vital resources that support livelihoods and economic development. Additionally, these ecosystems maintain the health of marine and coastal landscapes and seascapes at large. The Kenyan coast is also endowed with a rich history of social and cultural interactions and traditions that span the entire shoreline. Notable amongst these traditions are the social, cultural, and economic opportunities that have been provided to the Kenyan coastal population through the use of the marine and coastal ecosystems for food, trade, recreation, and transport (Government of Kenya 2011). It is reported that trade in mangrove poles surpassed tourism and agriculture in foreign earnings in colonial times. To this day, opportunities for employment, tourism, and recreation provided by the marine and coastal environment and its resources, continue to make considerable contribution to the Kenyan economy. It estimated that more than 60% of tourists visiting Kenya must pass through the coast. However, immense pressure has been exerted on Kenya’s marine resources by the everincreasing human population and demand for natural resources. Consequently, Kenya’s marine environment, ecosystems, and associated resources have shown signs of degradation due to over-exploitation as a result of unregulated use. Recognizing the value of its coastal and marine resources and the imminent threats, Kenya adapted the use of marine protected areas (MPAs) as one of the management strategies to ensure marine ecosystems remain ecologically and economically viable. MPAs are defined as “any area of intertidal or subtidal terrain, together with its overlaying water and associated flora, fauna, historical and cultural features, which has been reserved by law or other effective means to protect part or all of the enclosed environment” (Dudley 2009). Kenya is signatory to several international conventions and protocols that advocate the implementation of MPAs as a tool for biodiversity conservation and regulation of fisheries. Some of these conventions include the Convention on Biological Diversity (CBD) and the United Nations Law of the Sea, and Chapter 17 of Agenda 21. The Jakarta Mandate (1995), which outlines the program of action for marine and coastal biodiversity within the CBD,
Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition

For renewable energy systems to operate as efficiently and as effectively as possible, maximum power point tracking (MPPT) controllers are essential. They make it possible to precisely and dynamically track the peak output of solar panels or wind turbines, ensuring that the system will be stable and reliable even in the face of changing environmental factors. Recently, more robust algorithms based on deep reinforcement learning (DRL) have been proposed. These DRL-based algorithms optimize the local and global maximum power point (MPP) using deep Q-learning and deep deterministic policy gradient (DDPG). In this study, MATLAB models of a DRL-based MPPT algorithm were developed, tested, and compared to simulation based on two established MPPT algorithms – the Particle Swarm Optimization (PSO), and the Perturb and Observe (P&O). The simulations were conducted under various conditions, including standard test conditions (STC), and partial shading conditions (PSC). Simulation results demonstrate that at STC, both the DRL-based MPPT and PSO algorithm tracks the steady-state power at 0.02 seconds, outperforming the traditional P&O technique of 0.08 seconds. However, the PSO algorithm manages to track 1.18% more power than DRL MPPT at PSC. Despite the limitations of training the DRL, it shows a promising method for addressing MPPT issues under PSC.
EFEK ANALGESIK KOMBINATIF INFUSA JAHE MERAH, TEMUKUNCI, KENCUR, SERAI, DAN ASAM JAWA PADA MENCIT BETINA DENGAN METODE WRITHING TEST

Pain is an unpleasant sensory and emotional experience caused by actual or potential tissue damage. Based on systematic review studies it has been proven that red ginger, temukunci, kencur, lemongrass and tamarind have been shown to have analgesic effects both in vitro and in vivo. The purpose of this study was to determine the analgesic effect of IJTKSA. The method used in this study is a laboratory experiment with an analytical descriptive approach. The results showed that IJTKSA both concentrations of 0.02%, 0.04% and 0.08% were able to reduce the number of writhing mice. Overall, IJTKSA concentration of 0.02% has the most effective analgesic effect as evidenced by the low average total number of writhing mice during 60 minutes of observation.
Secure and Successful Transmission Probability Analysis for PLC Networks

In this paper, we analyze a typical PLC system's data transmission security and reliability. In particular, we consider a passive adversary model–commonly assumed in the literature–and a friendly jamming technique to thwart the attacker. Overall, several contributions are provided: First, the most relevant PLS techniques in the literature are detailed, focusing on the applications, advantages, and disadvantages of each technique, as well as the related PLS performance analysis metrics. Then, we derive the expression of a novel PLC performance analysis metric: the secure and successful transmission probability (SSTP) of the considered PLC system model. Such a metric captures aspects that are not considered in the available ones, and we use it to analyze our use case, considering the adoption of a friendly jamming technique to thwart a passive eavesdropping attack. A complete analytical characterization of the introduced use case is provided. Finally, numerical results are presented to validate the obtained analytical expressions and to assess the relevant PLS and link reliability performances. The results show the significant impacts of the transmission distances, the used carrier frequency, and the jamming signal power on the overall quality of the achieved security and transmission performances. Other than being interesting on their own, these results also provide direct guidance on effectively tuning countermeasures against the considered adversary.
MEDIASI AKSESIBILITAS MODAL UTANG PADA PENGARUH KINERJA LINGKUNGAN TERHADAP FINANCIAL DISTRESS

Penelitian ini membuktikan secara empiris bahwa aksesibiltas modal utang memediasi pengaruh kinerja lingkungan terhadap financial distress. Penelitian ini menggunakan simple mediation analysis untuk menganalisis data dan software SPSS 24 untuk mengolah data. Penelitian ini menggunakan metode purposive sampling dengan total sampel 219 perusahaan di sektor industri dasar dan bahan kimia, pertambangan, dan agrikultur yang terdaftar di Bursa Efek Indonesia dan PROPER Indonesia selama tahun 2013-2018. Berdasarkan hasil uji empiris, penelitian ini menemukan bahwa aksesibilitas modal utang tidak memediasi pengaruh kinerja lingkungan perusahaan terhadap financial distress. Hal ini karena kinerja lingkungan termasuk salah satu indikator yang masih cukup baru di pasar keuangan Indonesia. Dengan demikian, kreditur selaku pemangku kepentingan perusahaan belum mempertimbangkan kinerja lingkungan sebagai jaminan atas performa perusahaan dalam memenuhi kewajibannya. Namun, bertolak belakang dengan hasil tersebut, kinerja lingkungan perusahaan ditemukan berpengaruh terhadap financial distress. Dimana, perusahaan dengan kinerja lingkungan yang baik cenderung memiliki kemampuan yang memadai dalam mengelola sumber dayanya, khususnya sumber daya ekonomi perusahaan. Dengan demikian, hasil penelitian ini telah mengkonfirmasi teori resource based view dan teori trade-off.
Surface-multiple attenuation through sparse inversion: results for complex synthetics and real data

We present new results of the recently introduced approach to surface-multiple attenuation through sparse inversion. This method aims to attenuate surface multiples of all periodicities without the need for an adaptive subtraction or a near offset extrapolation. The aim of our paper is twofold. First, we subject the sparse inversion method to data beyond previously published proof-of-principle models and present results on highly complex 2D synthetics and real data, demonstrating that sparse inversion may, in principle, serve as a powerful tool to attenuate short and long period multiples in complex settings. We illustrate the competitive nature of the sparse inversion predictions by benchmarking the method’s results to standard processing flows. In addition, we demonstrate the correspondence of the estimated primaries to the underlying impedance models. Next, we show results of a 2D sparse inversion approach to real 3D deep-marine data and demonstrate, through a further synthetic study, that the presence of cross-line dip leads to a time shift of the predicted multiples, resulting in reduced multiple attenuation. Our results confirm that future developments of this technique will require a full 3D approach in order for the sparse inversion method to be widely effective in practice.
A Deep Learning Approach for Universal NPRACH Detection With Inter-Cell Interference

This paper works on the detection of physical random access channel (NPRACH) in Narrowband Internet of Things (NB-IoT) system. The frequency hopping preamble design and increasing number of IoT terminals lead to inter-cell interference among different cells, resulting in inevitable increase of false alarm rate. Due to the ambiguity between preamble and interference, it is a great challenge for NPRACH detection methods to achieve low false alarm rate when having strong interference. In this paper, we analyze the difference between preamble and interference in the propagation environments of NPRACH signals in the 2-dimensional Fast Fourier Transformation (2-D FFT) domain. Then we propose a deep learning-based NPRACH detection method, dubbed Mask Assisted Anti-Interference Universal Detection Scheme (MIUS), in the 2-D FFT domain for preamble detection with inter-cell interference in different repetition cases. In the proposed MIUS, the Mask-ResNet Block is designed as a building block to extract features distinguishing the preamble and interference based on masking operations. Our proposed MIUS utilizes the Mask-ResNet Block in a separate manner to detect the preambles in sequential repetitions across different repetition cases. Simulation results show that MIUS can simultaneously maintain the low false alarm rate and achieve high detection accuracy in low Signal to Interference and Noise Ratio (SINR) regime in all repetition cases.
Measurement of Surface Currents

Knowledge of surface currents is of fundamental importance in many diverse marine activities; for example in navigation, offshore engineering and operations, and in the prediction and monitoring of the movement of pollutants. In those areas of scientific research directed towards improved understanding of climate, and towards the modelling and prediction of currents, studies of exchanges of heat and momentum between atmosphere and ocean also require detailed knowledge of mean and fluctuating components of near-surface flow.
Application of multiphoton microscopy for studying liver fibrosis

Liver fibrosis is a response to chronic liver damage, causing the accumulation of extracellular components like collagen fibers. Accurate evaluation of fibrosis is key for predicting disease prognosis. Multiphoton microscopy (MPM) is an advanced technique that allows label-free imaging of biomedical tissues using femtosecond laser-induced nonlinear optical effects. In this study, hepatic tissue samples were imaged via MPM and then imaging data were analyzed with Hover-Net, a convolutional neural network. We find that MPM has the ability to directly observe fibrotic changes, and also find that the number of portal bile ducts are positively related to liver fibrosis and can be automatically identified by the Hover-Net. These findings suggest MPM combining with deep learning can assess liver fibrosis quickly and reliably without the need for exogenous contrast agents.