Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient MIH/SDN-Based Vertical Handover for 5G HetNets

Ultra-densification is one of the 5G and beyond (B5G) networks solutions to increase data rate and network capacity. The perception of this technology is based on the construction of a large number of small cells in a specific area which may include different Radio Access Technologies (RATs) such as LTE-advanced, C-IoT (Cellular Internet of Thing), Narrowband-IoT (NB-IoT) and 5G WiFi in a unified wireless heterogeneous system based on an IP core network infrastructure. The deployment of small cells generates a good connection following the provision of shorter distance between cell access point and the mobile node which in turn serve to reduce the signal attenuation and noise. The downside of the densification on B5G is that poses challenges for the mobility management, including frequent unnecessary and ping-pong handovers, with additional problems related to increased delay, energy efficiency and total failure of the handover process. This paper proposes an integrated B5G networks architecture using the Software Defined Networking (SDN) and Media (MIH) paradigms and provides an optimized vertical handover process reached by an efficient network selection algorithm. Simulation results validate the efficiency of our proposal.
LoFall: LoRa-Based Long-Range Through-Wall Fall Detection

Fall detection is an essential measure for the safety of elders. While traditional contact-based methods support acceptable detection performance, the recent advance in wireless sensing could enable contact-free fall detection. However, two severe limitations are short sensing range and weak through-wall capability, which hampers wide applications in smart homes. This paper proposes a novel system LoFall, which is the first time to utilize the LoRa signal to realize contact-free long-range through-wall fall detection. We address unique technical challenges, such as proposing a novel strategy of candidate signal search to reduce the calculation time of fall detection and designing a weighted feature fusion algorithm based on fuzzy entropy to improve the accuracy of through-wall fall detection. Comprehensive experiments are conducted to evaluate LoFall. Results show that it can achieve a total accuracy of 93.3% for through-wall fall detection, and support the furthest detection range of up to 10 m.
The effect of active occupational stress management on psychosocial and physiological wellbeing

Background: The aim of the study was to address the working population with an occupational stress prevention program using mHealth solution and encourage healthy lifestyle choices.Methods: 16 participants were randomized from the corporate setting. A 24alife app with a good compliance program was selected. Test battery has been designed to test the physical readiness, psychological state of stress and to assess biological blood markers for stress. Participants were followed up after 30, 60 and 90 days, respectively, within the intervention period. Blood pressure and weight were tracked 3 times per month. At least once a week, but on average 6 times per month, participants also led the food diary. Univariate analysis compared the continuous variables by Student's t-test for the data that were normally distributed, or Wilcoxon rank sum test for abnormal distribution of variables.Results: Participants used the app with a compliance rate of 100%. The psychological evaluation revealed higher motivation for work, lower burnout scores and participants gave subjective responses of better general wellbeing. Some of the participants lost up to 4 kg of body mass. Physical readiness has significantly improved.Conclusions: Results of mHealth projects on corporate could include primary health care institutions and health ministry to extend the existing system to patients’ pockets where they can monitor their disease and increase the ability of self-care.
Utilization of pectin as a polysaccharide microcarrier for drug delivery

Pectin is a polysaccharide of natural origin, which has been widely exploited in the food and pharmaceutical industry due to its biodegradable and biocompatible nature. It is commonly used as an efficient texturizer and stabilizer in different food products due to its high stability and also as a pharmaceutical excipient in various drug formulations due to its valuable characteristics. The utilization of pectin as a drug carrier for achieving controlled drug release in pharmaceutical dosage forms has been extensively researched recently. Pectin has the potential for targeted drug delivery due to its degradation by colonic microorganisms, making it a popular subject of investigation for biomedical applications. The developed in recent years pectin microparticle systems have several advantages over classical pectin gel formulations. These advantages include higher drug loading efficiency, reduced burst drug release, and the ability to better control the drug release and limit the polymer swelling. This review outlines the recent developments of pectin as a microcarrier in the production of drug delivery systems, which include the properties of the polysaccharide material essential for microparticle production, specific formulation methods with their key technological parameters, influencing the final microparticle product and potential applications of the proposed pectin microsized formulations.
A High Gain SIW Cavity-backed Differential-fed Dual-polarized Slot Antenna for 5G Applications

A dual-polarized, differentially fed antenna based on a substrate integrated waveguide (SIW) cavity for 5G applications with a wide differential bandwidth and good common mode rejection is proposed. The presented antenna is designed to cover 5G frequency band for USA (27.5-28.35 GHz), Korea (26.5-29.5 GHz), India (24.25-28.5 GHz) and China (24.25-27.5 GHz) region. The antenna is made up of a modified square-shaped slot that is supported by a square SIW cavity and excited by two pairs of GPCW feed lines that are different from each other. In order to get a dual-polarization, the TE120 and TE210 cavity modes are used to excite the cavity. The results show that the differential bandwidth of 3.7 GHz (13.4%) ranging from 25.7 GHz-29.4 GHz, a high peak gain of 14.63 dBi over the differential bandwidth with FTBR of 23.4 dB have been achieved.
Modeling the Process of Assessing the Technical Condition of Damaged Real Estate Objects

More than 160 thousand properties have already been registered on the territory of Ukraine as destroyed and damaged real estate objects as a result of hostilities. At present, houses, buildings and infrastructure objects in almost all regions of the country continue to experience damage and destruction. The reconstruction of so many objects that have suffered destruction and damage of different levels requires the creation of a publicly available, high-load distributed information and communication system to support decisions that will be made in the process of rebuilding of the country. The speed and reliability of such system depends on the architecture of its database. The data model for cataloging damaged buildings and structures, which will be used in MongoDB in the future, is given. The conclusion about the practicability of using MongoDB is made on the basis of an analysis of modern non-relational databases, taking into account the functional purposes of the Infocommunication System. The logical structure of the database and its main parts are defined and described. The scientific novelty of this study lies in the formation of fuzzy production models that adequately reproduce the associative thinking of experts when assessing the technical condition of objects that were affected by impact of hostilities that took place nearby.
Computer viruses: how companies can protect their systems

A computer virus is a program that can infect other programs by modifying them to include a copy of itself. When the infected programs are executed, the virus spreads itself to still other programs. Today’s society has seen a dramatic increase in the use of computers; as a result, businesses must take even more precautions to guard against the introduction of computer viruses into their systems.
Shared Memory Parallelization of MTTKRP for Dense Tensors

The matricized-tensor times Khatri-Rao product (MTTKRP) is the computational bottleneck for algorithms computing CP decompositions of tensors. In this paper, we develop shared-memory parallel algorithms for MTTKRP involving dense tensors. The algorithms cast nearly all of the computation as matrix operations in order to use optimized BLAS subroutines, and they avoid reordering tensor entries in memory. We benchmark sequential and parallel performance of our implementations, demonstrating high sequential performance and efficient parallel scaling. We use our parallel implementation to compute a CP decomposition of a neuroimaging data set and achieve a speedup of up to $7.4\times$ over existing parallel software.
A NEW FRAMEWORK ON SUCCESS FACTORS OF SOCIAL MEDIA APPLICATIONS USAGE

Based on many past studies regarding Social Media Applications (SMAs) rarely focus on aspects of continuous use and Perceived Privacy (PP). The increasing user awareness issue regarding PP in using SMA is escalating due to various cybersecurity threats, such as malware, software, password and Man-in-the-Middle (MitM) attacks. Accordingly, this study examines the effect of users' PP on System Quality (SQ), Information Quality (IQ), Service Quality (SVQ), User Satisfaction (US) and Usage (USG) based on the DeLone and McLean Information System (IS) Success Model. A total of 345 samples were used for this study using the convenience sampling approach and SmartPLS 3 as the analysis tool. Based on the study's results, it was discovered that SVQ and IQ affect the use of SMA. In addition, it was discovered that PP affects the relationship between SQ, SVQ and the use of SMA. The analysis results related to PP reveal that it is a dominant construct in the study model. Note that the importance of PP should be a solid foundation for developing an SMA application. The PP component in this study can be used as a guide and checklist for software developers to improve security features and SVQ, which is a catalyst for US and ensure that an SMA application is used continuously.
Towards Anticancer and Antibacterial Agents: Design and Synthesis of 1,2,3-Triazol-quinobenzothiazine Derivatives

In this paper, we describe a new method for synthesizing hybrid combinations of 1,2,3-triazoles with a tetracyclic quinobenzothiazinium system. The developed approach allowed for the production of a series of new azaphenothiazine derivatives with the 1,2,3-triazole system in different positions of the benzene ring. In practice, the methodology consists of the reaction of triazole aniline derivatives with thioquinanthrenediinium bis-chloride. The structure of the products was determined by 1H-NMR, 13C-NMR spectroscopy, and HR-MS spectrometry, respectively. Moreover, the spatial structure of the molecule and the arrangement of molecules in the crystal (unit cell) were determined by X-ray crystallography. The anticancer activity profiles of the synthesized compounds were tested in vitro against human cancer cells of the A549, SNB-19, and T47D lines and the normal NHDF cell line. Additional tests of antibacterial activity against methicillin-sensitive and methicillin-resistant staphylococci, vancomycin-sensitive and vancomycin-resistant enterococci, and two mycobacterial strains were also performed. In fact, the dependence of anticancer and antibacterial activity on the substituent type and its position in the quinobenzothiazinium system was observed. Furthermore, the distance-guided property evaluation was performed using principal component analysis (PCA) and hierarchical clustering analysis (HCA) on the pool of the calculated descriptors. Finally, the theoretically approximated partition coefficients (clogP) were (inter-)correlated with each other and cross-compared with the empirically specified logPTLC parameters.
Efficient soil water use: the key to sustainable crop production in the dry areas of West Asia, and North and Sub-Saharan Africa

Rainfed agriculture in Egypt occupies about 2-3% of the agricultural land. It is mainly concentrated in the North West Coastal Zone (northern area of Matrouh Governorate). Land use is entirely dependent on rainfall, and cultivation depends on various forms of water harvesting. Appropriate water-harvesting methods and soil-conservation techniques are badly needed to optimize soil water use. Watershed management is a pressing need in the area, as there is no experience of it or studies dealing with it. There is a potentiality to double the current barley production, in average and better rainfall years, by improving the barley production technology. Fruit crop production could be increased to 2-3 times the current level through improved plant management such as fertilization, tillage practices, proper pruning, and integrated pest management and through introduction of better varieties. Although this may not appear significant in relation to the total agricultural land, it is important to the local communities and economies. Better management of resources would contribute to the conservation of natural resources and better sustain the livelihood of local communities. The latter are important objectives of Egypt's Environmental Action Plan.
Seasonal Developing Xylem Transcriptome Analysis of Pinus densiflora Unveils Novel Insights for Compression Wood Formation

Wood is the most important renewable resource not only for numerous practical utilizations but also for mitigating the global climate crisis by sequestering atmospheric carbon dioxide. The compressed wood (CW) of gymnosperms, such as conifers, plays a pivotal role in determining the structure of the tree through the reorientation of stems displaced by environmental forces and is characterized by a high content of lignin. Despite extensive studies on many genes involved in wood formation, the molecular mechanisms underlying seasonal and, particularly, CW formation remain unclear. This study examined the seasonal dynamics of two wood tissue types in Pinus densiflora: CW and opposite wood (OW). RNA sequencing of developing xylem for two consecutive years revealed comprehensive transcriptome changes and unique differences in CW and OW across seasons. During growth periods, such as spring and summer, we identified 2255 transcripts with differential expression in CW, with an upregulation in lignin biosynthesis genes and significant downregulation in stress response genes. Notably, among the laccases critical for monolignol polymerization, PdeLAC17 was found to be specifically expressed in CW, suggesting its vital role in CW formation. PdeERF4, an ERF transcription factor preferentially expressed in CW, seems to regulate PdeLAC17 activity. This research provides an initial insight into the transcriptional regulation of seasonal CW development in P. densiflora, forming a foundation for future studies to enhance our comprehension of wood formation in gymnosperms.
Computer simulation: achieving credible experimental results in virtual environments

"Computer simulation" is a broadly used term that can take on different meanings depending often on the disciplinary context. Within statistics the term is applied to repetitive sampling, described in more specific terms as "Monte Carlo simulation. " Those working with computational solutions of numerical systems, typically modeling fluid flow or ballistics, use the term in place of the more specific "continuous simulation. " While those modeling queueing or inventory problems in computer science, operations research or management science, use the term in place of the more accurate descriptor "discrete event simulation. " This third substitution has become more prevalent; because the problem domains addressed have emerged as the most prominent. That is not to say that no meaningful work is on-going in the other disciplinary areas; rather the other two identified more readily with disciplinary areas, have profited from their ready recognition as belonging to statistics or applied mathematics.
Exploring the Toxic Effects of ZEA on IPEC-J2 Cells from the Inflammatory Response and Apoptosis

Simple Summary Zearalenone is a fungus that is often found in the ingredients of many animal feeds. Swine, as the animal most sensitive to zearalenone, have more severe symptoms of infection and therefore can cause great economic losses. The intestine is the first line of defence of the organism, so we constructed a model of zearalenone intoxication in swine small intestinal epithelial cell lines and performed various tests. Finally, we found that zearalenone can trigger oxidative stress, induce inflammatory response and apoptosis in porcine small intestinal cells, and finally trigger damage to porcine small intestinal tissues. We believe that the study of the effects of zearalenone on the intestinal tract of swine is of great significance for the prevention of zearalenone infection in swine, as well as for the treatment of infection. Abstract Zearalenone (ZEA) is the most common fungal toxin contaminating livestock and poultry feeding, especially in pigs, causing severe toxic effects and economic losses. However, the mechanism of ZEA damage to the intestine is unknown. We constructed an in vitro model of ZEA toxicity in a porcine small intestinal epithelial cell (IPEC-J2) line. ZEA causes severe oxidative stress in porcine small intestine cells, such as the production of ROS and a significant decrease in the levels of antioxidant enzymes GSH, CAT, SOD, and T-AOC. ZEA also caused apoptosis in porcine small intestine cells, resulting in a significant reduction in protein and/or mRNA expression of apoptosis-related pathway factors such as P53, caspase 3, caspase 9, Bax, and Cyt-c, which in turn caused a significant decrease in protein and/or mRNA expression of inflammatory-related factors such as IL-1β, IL-2, Cox-2, NF-κD, NLRP3, IL-6, and IL -18, which in turn caused a significant increase in protein and/or mRNA expression levels. The final results suggest that ZEA can cause a severe toxic response in porcine small intestine cells, with oxidative stress, apoptotic cell death and inflammatory damage.
Update on In Vitro Diagnostic Tools and Treatments for Food Allergies

Food allergy (FA) is an adverse immunological reaction to a specific food that can trigger a wide range of symptoms from mild to life-threatening. This adverse reaction is caused by different immunological mechanisms, such as IgE-mediated, non-IgE-mediated and mixed IgE-mediated reactions. Its epidemiology has had a significant increase in the last decade, more so in developed countries. It is estimated that approximately 2 to 10% of the world’s population has FA and this number appears to be increasing and also affecting more children. The diagnosis can be complex and requires the combination of different tests to establish an accurate diagnosis. However, the treatment of FA is based on avoiding the intake of the specific allergenic food, thus being very difficult at times and also controlling the symptoms in case of accidental exposure. Currently, there are other immunomodulatory treatments such as specific allergen immunotherapy or more innovative treatments that can induce a tolerance response. It is important to mention that research in this field is ongoing and clinical trials are underway to assess the safety and efficacy of these different immunotherapy approaches, new treatment pathways are being used to target and promote the tolerance response. In this review, we describe the new in vitro diagnostic tools and therapeutic treatments to show the latest advances in FA management. We conclude that although significant advances have been made to improve therapies and diagnostic tools for FA, there is an urgent need to standardize both so that, in their totality, they help to improve the management of FA.
Yield and Water Use of Wheat as Influenced by Early Irrigation at Maricopa, 1987

When the first irrigation in wheat is applied early, it is usually done to bank or save water for later in the season. On the other hand, when the first irrigation is applied late, it is done to force deep rooting. The objective of this study was to determine the influence of an early irrigation and an early stress period on yield and water use of two durum wheat cultivars when subjected to water stress during the grain fill period. Grain yield of Westbred 881 was not influenced by irrigation treatment, but the grain yield of Aldura was higher with early irrigation rather than early stress. Part of this response may be explained by the poorer stand and the lower stem number of Aldura compared to Westbred 881 under early stress conditions. Water use later in the season was unaffected by irrigation treatment. Early irrigation did not save water for later in the season, and early stress did not improve the plant's ability to extract deep moisture under the conditions of this study. INTRODUCTION Timing of the first irrigation is a subject of controversy for many crops. Some growers believe the first irrigation should be delayed, and the crop stressed early, to establish a deep root system capable of extracting deep moisture during stress periods later in the season. A contrasting strategy is to apply the first irrigation early to bank or save water for later in the season. Many cotton growers in Arizona, for example, apply an early irrigation to their wheat in January when water on their farm is relatively plentiful and not needed by the cotton. Some feel this early irrigation can compensate for a delay or a skip of an irrigation during the grain formation period when water is needed for pre -irrigating cotton. The objective of this study was to determine the influence of early irrigation timing on yield and water use of wheat subjected to water stress during the grain fill period. MATERIALS AND METHODS A field study was initiated at the Maricopa Agricultural Center on a Trix clay loam soil to examine the influence of early irrigation practices on wheat yield and water use. Approximately 100 lbs N/A and 100 lbs
Measurement of Regulations: An Application to the Agricultural Produce Markets of Indian States

Effective regulation of agricultural produce markets has been increasingly recognised as an important institution for agricultural sector development. This paper provides the construction of a composite time-varying de jure quantitative index measuring a specific legislative institution of colonial lineage – the Agricultural Produce Markets Commission (APMC) Act & Rules across 14 Indian states for the period 1970-2008. It represents the first most comprehensive effort till date to systematically characterise post-harvest regulations of agricultural produce markets of India. The paper discusses the possible sensitivity of the APMC indices using higher statistical techniques and examines the evolution of agricultural regulations across Indian states through the study of cross‐sectional and secular trends in the indices. The results suggest that though regulations of agricultural produce markets have shown improvement over time in all states but few; however pace of the progress has been extremely slow. There are wide differences in the APMC measures across the states. Rankings of states in terms of the APMC index show varying time trends – stable and high ranks for states like Maharashtra and Punjab, stable and low ranks for states like Uttar Pradesh, West Bengal and Assam, rapidly improving ranks for states like Karnataka and Madhya Pradesh, while maintaining better ranks for Haryana, Andhra Pradesh, Tamil Nadu and Rajasthan and swift deterioration in ranks for states like Gujarat, Bihar, and Orissa.