Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-Efficient Routing Using LSTM-Based Deep Learning for Sink Mobility Prediction to Enhance Lifetime and Stability of Wireless Sensor Networks

In recent times, wireless sensor networks (WSNs) have been greatly used in a wide range of fields and applications such as healthcare, industrial process control, military operations, agriculture, environment monitoring, etc., because of their ability to remotely monitor and control different application parameters, thereby providing a comfortable and smart economic life for individuals and organizations. Nevertheless, one of the critical issues hindering the success of WSNs is the continuous energy depletion that occurs due to limited sensor node energy and as a result affects the overall network lifetime and performance. The recurring energy consumption issue has led to many academic and industrial studies to be carried out. Incorporating sink mobility into wireless sensor networks emerges as a novel approach to tackle the energy hole and the long-data transmission issues respectively. In the paper, we propose a novel sink mobility prediction using the Long-Short Term Memory (LSTM) model. Sensor nodes can predict the estimated location of the sink across the network and send their data to the priority node or via the mobile sink directly. The three proposed multiple random mobile sinks were all compared with the existing M-RBMR protocol. The simulation results show that the MRMS-C protocol outperforms the M-RBMR, RMMS, and MRMS-NC protocols in terms of network lifetime and stability, throughput, and packets delivered to the sinks.
Synchronisation des cycles régionaux dans la zone euro

The regional business cycles synchronisation between 58 European regions is analysed in this paper. Business cycles are obtained three filters over the period 1981-2008 from the real GDP growth rate. Regional synchronisation is quantified with correlation coefficients between the euro area and each member state. Several results are obtained. First, in accordance with previous studies, a huge heterogeneity remains between the regions analysed. Second, we observe an accentuation of the synchronisation. This leads to a decrease of the border effects. This last results seems to be original.
Eco-Toxicological Risk Assessment of Possible Effects of Potentially Toxic Heavy Metals on Water Quality and Performance of Nile Tilapia (Oreochromis niloticus) in Burullus Lake, North Delta, Egypt

HIS study aimed to evaluate the effects of toxic metals (Cu, Fe, Ni, Cd and Pb) on Burullus Lake water and Oreochromis niloticus . To assess contamination grade and associated eco-toxicological risk use Bio-Concentration Factor (BCF), Contamination Factor (CF), Pollution Load Index (PLI), and Metal Pollution Index (MPI) and in addition to the effect of toxic metals on water quality and fish performance in sixteen sampling sites across the lake. Results revealed a significant ( p <0.05) lower heavy metals concentration in water, liver and muscles in eastern sector (ES) compared to other sectors. While, middle sector (MS) showed significant ( p <0.05) lower BCF of Fe in liver and muscle. The ES showed the lowest CF, PLI and MPI values in water, liver and muscles except for Fe in muscle CF. Furthermore, ES recorded the lowest salinity, conductivity, total dissolved salts, total ammonia and un-ionized ammonia and the highest dissolved oxygen. Moreover, ES showed the highest fish body weight ( p >0.05) and condition factor and the lowest hepatosomatic index ( p <0.05). In conclusion, there was a variation in heavy metals content in different sections of the Burullus lake water, ES showed lower heavy metals concentration in water, liver and muscles compared to other sectors. MS showed significant lower BCF of Fe in liver and muscle. The ES showed the lowest CF, PLI and MPI values in water, liver and muscles except for Fe in muscle CF. The ES may consider the lowest contaminated area of Burullus Lake and consequently showed better water quality and fish performance.
Cavitation bubbles: a tracer for turbulent mixing in large rivers

On the Seine river in Paris, the high frequency of tourist boats traffic may exert a significant impact on transport of sediments and thus on transport and residence time of pollutants. To have a better understanding of anthropogenic effects and more generally to study rivers suspended sediments dynamics, it is essential to quantify the river transport capacity. Turbulent mixing is one of these transport mechanisms and we present here a simple technique to estimate lateral coefficient using ADCP backscatter signal analysis. We realized several static measurements during low water discharge (Q = 140 cubic meters per second) in which we can see a strong correlation between high backscatter values and the passage of boats. We argue that these high backscatter values, in the center of Paris city, are not due to a sediment plume but to cavitation bubbles. These high values suggest that resonant, ~10 micron bubbles are present in the flow in agreement with LISST grain size measurements. Given their slow ascent velocity these particles can be used as passive markers to estimate the lateral turbulent mixing coefficient. For this purpose we develop a dimensionless form of the sonar equation that, when coupled to a simple lateral turbulent diffusion model, allows to compute lateral diffusion coefficients. These estimates of lateral diffusion coefficient have an important implication for representative river water sampling and can be very useful to calibrate numerical models of river flow and sediment transport.
Organizational Strategy and its Effects on Performance of Nepalese Commercial Banks

Organizational Strategy is a pattern of important decision that guides the organization in its relationship with its environment; affects the internal structure and processes of organization; and centrally affects the organization’s performance. Descriptive and casual research designs were used in this study. A structured questionnaire based on 5-point Likert scale has been used to collect the data. The sample size was 507 (Respondents) and selected on the convenient basis. Lending strategy, treasury management strategy, resource mobilization strategy, innovation and service quality strategy, and segmentation strategy were used as independent variables and organizational performance was used as dependent variable in this study. It was found that organizational strategies have impacted on organizational performance. The study recommends that investors and managers should make use of strategic management to improve their organizations actual performance at all times.
Dietary Soybean Oligosaccharides Addition Increases Growth Performance and Reduces Lipid Deposition by Altering Fecal Short-Chain Fatty Acids Composition in Growing Pigs

Simple Summary In this study, we investigated the effects of adding soybean oligosaccharides (SBOS) to growing–finishing pig diets on growth performance, carcass traits, meat quality, and fat deposition. SBOS are considered to be one of the causes of diarrhea in piglets. However, their impact on growing and fattening pigs has not been reported. The results of this study showed that adding 0.8% SBOS to the diet of growing–finishing pigs can increase the average daily weight gain. Hindgut fermentation of SBOS, which alters the composition of short-chain fatty acids, was the mechanism behind the reduction in fat deposition in growing–finishing pigs. Abstract One hundred and twenty-eight boars and gilts of the Duroc × Landrace × Yorkshire variety with an initial body weight (BW) of 52.49 ± 0.48 kg were used in a randomized complete block design for a 63-day experiment. The four treatment groups were: control diet (CON), CON + 0.2% soybean oligosaccharides (SBOS), CON + 0.4% SBOS, and CON + 0.8% SBOS. The results showed that the average daily weight gain (ADG) was significantly higher in the 0.8% SBOS group than in the CON group on days 0–63 (p < 0.05). Compared with the CON group, adding 0.8% SBOS to the diet significantly increased the carcass weight, dressing percentage, and carcass lean percentage, but decreased the average backfat depth of growing–finishing pigs (p < 0.05). Adding different concentrations (0.2%, 0.4%, and 0.8%) of SBOS to the diet can significantly increase the concentrations of acetate, propionate, and butyrate in feces (p < 0.05). The activities of malic enzyme and fatty acid synthase in the 0.8% group were significantly lower than those in the 0.2% and CON groups (p < 0.05). In summary, 0.8% SBOS supplementation to growing–finishing pigs’ diets can reduce lipid deposition and increase ADG.
Recent and ancient records of shrews from Syria, with notes on Crocidura katinka Bate, 1937 (Mammalia: Soricidae)^

The distribution and taxonomy of shrews of the genera Siinciis and Crocidura found in Syria is reviewed. Crocidura katinka Bate, 1937, so far known only from fossil remains from the Pleistocene of the Tabun Cave (Israel), was identified in fresh owl pellets from Syria.
New Resource Allocation Schemes in Multi-Cell Environment Based on Non-Orthogonal Multiple Access for Beyond 5G Systems

NOMA is a new and satisfactory access scheme ascending towards the upcoming age of beyond 5G systems. Although downlink NOMA has been the focal point of numerous specialists, its conduct in a multi-cell scenario where Inter-Cell Interference (ICI) is dominant is not sufficiently evaluated. In this work, we propose a combination of the Soft Frequency Reuse (SFR) pattern with a controllable throughput vs. fairness maximization metric (CTFMM) scheduler that aims to mitigate ICI and expands NOMA throughput. To be able to cope with realistic scenarios where users are not uniformly distributed in a cell, a load-adaptive approach is also proposed. Results show that ICI mitigation through the proposed schemes can accomplish gains up to 14% in terms of total system throughput and 22% in terms of user fairness.
Chemical constituents of Salvia urica Epling, and their antihyperglycemic and antipropulsive effects

Background: Salvia urica Epling is taxonomically and phylogenetically related to Salvia amarissima Ortega. The last species has pharmacological relevance by its contents of bioactive metabolites. Nowadays, Salvia urica has no reports about its chemical constituents and pharmacological activities. Hypothesis: Does the close relationship between S. amarissima and S. urica led both species produce similar specialized metabolites? Does Salvia urica display similar pharmacological effects as S. amarissima? Studied species: Salvia urica Epling (Lamiaceae). Study site and dates: The plant material was collected in Teopisca, Chiapas, Mexico, in December 2021. Methods: Metabolites of the acetone extract from Salvia urica were identified by GC-MS and HPLC-PDA profiling. In parallel, a phytochemical study was conducted, and the individual purified constituents, previously characterized by 1D NMR, were assayed on antihyperglycemic effect in diabetic mice and a charcoal-gum arabic-induced hyperperistalsis model in rats. Results: The volatile compounds identified by GC-MS were alkanes, aromatics and triterpenes. The principal constituents of the acetone extract of Salvia urica were amarissinin A and 5,6-dihydroxy-7,3',4'-trimethoxyflavone, which were also quantified by HPLC-PDA. The extract and both metabolites isolated showed an antihyperglycemic effect on streptozotocin-induced diabetic mice, suggesting a possible synergic effect. In addition, the compound 5,6-dihydroxy-7,3',4'-trimethoxyflavone (IC50 = 0.79 mg/kg) showed a better antipropulsive effect than loperamide (IC50 = 16.6 mg/kg). Conclusions: The phytochemical composition of an acetone extract of Salvia urica was determined by first time. The metabolites isolated from this plant support the phylogenetic relationship of S. urica with Salvia amarissima, and they showed antipropulsive and antihyperglycemic effects.
Vegetation characteristics,abundance of soil microbes,and soil physico-chemical properties in desertified alpine meadows of Maqu

In recent years,desertification has been a serious threat to the alpine meadow ecosystem in the Maqu County of Gansu Province.To evaluate the effects of desertification on alpine meadow soil and vegetation,four types of plots with different grades of desertification were established in 2012.The vegetation characteristics,soil physico-chemical properties,and abundance of soil microbes were measured and analyzed in August 2013.At the same time,the relationship between the vegetation characteristics and soil microorganisms was analyzed.The results showed that the plant diversity index,soil moisture content,soil organic matter,total nitrogen(N),and available phosphorus(P)decreased as the degree of desertification intensified,and the plant dominance index and pH value increased conversely.The deep-soil organic matter,total N,and available P showed the highest values in the lightly desertified plots.Bacteria were the most abundant soil microorganisms in all plots,followed by actinomycetes,fungi,and then nitrogen-fixing bacteria.The lightly desertified plots had the largest number of microbes.A partial correlation analysis showed that the total quantities of soil microorganisms and bacteria were negatively related to above-ground plant richness index,plant biomass,and belowground plant biomass,but positively related to the above-ground/below-ground biomass ratio.There were significant correlations between the abundance of nitrogen-fixing bacteria and aboveground plant biomass,and between the abundance of fungi and below-ground plant biomass.The quantity of soil microorganisms was positively related to the above-ground/below-ground biomass ratio,but negatively related to all of the other measured vegetation characteristics.
Systematic Literature Review of the Impact of Violent Acts in Video Game on a Person’s Behavior

This systematic literature review examines the impact of violent acts in video games on an individual’s behavior. With the rising popularity and relevancy of eSport and digital gaming, video games have come as a form of entertainment and social connection. This sort of entertainment may influence a person's behavior, should it be consumed daily or excessively. Depending on the content itself, violences in video games may bring negative impact on a person’s behavior, such as an increase of aggression level on a person. Excessive exposure of violent content from a video game is a serious problem considering the popularity of digital gaming nowadays. It may impact broader audiences such as young people which may ruin later generations. This paper aims to show various results from various journals, about the impact of violent content in video games on a person’s behavior using PRISMA methodology for the searching and selection process. The results of this paper show that higher levels of anger in individuals correlate with increased aggression. However, aggression levels between males and females differs. Males tend to have more increase in aggression than females. Furthermore, the duration of playing violent video games is another contributing factor to increased aggression. The conclusion shows significancy in which anger, gender differences, and duration of playing plays important roles of affecting a person’s behavior. This may further help to categorize which types of video games genre have more impacts on a person’s behavior for further researcher.
Stability Analysis and Navigational Techniques of Wheeled Mobile Robot: A Review

Wheeled mobile robots (WMRs) have been a focus of research for several decades, particularly concerning navigation strategies in static and dynamic environments. This review article carefully examines the extensive academic efforts spanning several decades addressing navigational complexities in the context of WMR route analysis. Several approaches have been explored by various researchers, with a notable emphasis on the inclusion of stability and intelligent capabilities in WMR controllers attracting the attention of the academic community. This study traces historical and contemporary WMR research, including the establishment of kinetic stability and the construction of intelligent WMR controllers. WMRs have gained prominence in various applications, with precise navigation and efficient control forming the basic prerequisites for their effective performance. The review presents a comprehensive overview of stability analysis and navigation techniques tailored for WMRs. Initially, the exposition covers the basic principles of WMR dynamics and kinematics, explaining the different wheel types and their associated constraints. Subsequently, various stability analysis approaches, such as Lyapunov stability analysis and passivation-based control, are discussed in depth in the context of WMRs. Starting an exploration of navigation techniques, the review highlights important aspects including path planning and obstacle avoidance, localization and mapping, and trajectory tracking. These techniques are carefully examined in both indoor and outdoor settings, revealing their benefits and limitations. Finally, the review ends with a comprehensive discussion of the current challenges and possible routes in the field of WMR. The discourse includes the fusion of advanced sensors and state-of-the-art control algorithms, the cultivation of more robust and reliable navigation strategies, and the continued exploration of novel WMR applications. This article also looks at the progress of mobile robotics during the previous three decades. Motion planning and path analysis techniques that work with single and multiple mobile robots have been discussed extensively. One common theme in this research is the use of soft computing methods to give mobile robot controllers cognitive behaviors, such as artificial neural networks (ANNs), fuzzy logic control (FLC), and genetic algorithms (GAs). Nevertheless, there is still a dearth of applications for mobile robot navigation that leverage nature-inspired algorithms, such as firefly and ant colony algorithms. Remarkably, most studies have focused on kinematics analysis, with a small number also addressing dynamics analysis.
Autonomous Swarm Flight Control of Quadrotors Based on Boids Model & RTK-GPS Positioning

Currently, many studies on drone swarms use centralized control methods that navigation calculations are performed uniformly through a ground station and then navigation instructions are sent separately to each quadrotor for operation. In contrast, this study integrates multiple domain technologies, including RTK-GPS positioning, MQTT protocol, and 4G communication, to propose an autonomous swarm flight control system of quadrotors based on the Boids model. This system uses a decentralized control strategy, which means that each individual quadrotor is not subject to centralized control. By using only three simple flight control mechanisms, the swarm system proposed in this study achieves autonomous formation flight missions with high coordination. During the process, each individual quadrotor in the swarm maintains a certain safe distance from one another. According to the test results of the quadrotor swarms experiments consisting of three quadrotors, the positioning accuracy of this system can reach 4 cm, and the execution period of the navigation algorithm is about 0.1 seconds. The system exhibits good control performance and stability.
Tectonic control on the appearance of karst springs in Kooh-e-Siah (Dehdasht, Siuthwest Iran)

Kooh e Siah Karst System, situated in Zagros belt is developed in deformed limestone layers of Cretaceous and Oligocene age. The faults and joints have been of important role for the development and the evolution of the karst system. These joints are controlling the principal direction of the karst galleries and the draining of the ground waters. The ground water flow is discharged by several relatively big karst springs (Koorsa, Pirzal, Moger, etc). The purpose of this research to evaluate the role of tectonic control on hydrogeologic al characteristi cs of karstic aquifers in Kooh -e-Siah anticline. The volumes of dynamic resources of karstic springs are calculated in order to illustrate the basic relationship between Tectonics phenomena and karstic aquifers hydrogeology.
Flavonol and A-type procyanidin-rich extracts of Prunus spinosa L. flower exhibit anticoagulant activity through direct thrombin inhibition, but do not affect platelet aggregation in vitro

Background: Blackthorn flower (Prunus spinosa L.) is a traditional herbal remedy recommended for treating cardiovascular diseases (CVDs). Aim: This in vitro study investigates the effects of flavonol and A-type procyanidin-rich blackthorn flower extracts on the hemostatic system, including the blood plasma coagulation cascade and platelet aggregation. Methods: Six distinct extracts, characterized through various techniques, including LC-MS/MS, were assessed at in vivo-relevant levels (1–50 μg/mL) for their antithrombotic activity. The thrombin, prothrombin, and activated partial thromboplastin times were measured. Additionally, the thrombin enzymatic activity was tested using the chromogenic substrate S-2238 and fibrinogen as the physiological substrate of the enzyme. To gain insights into the mechanism of action, the interactions between the primary extracts’ constituents, their potential metabolites, and thrombin were examined in silico. The computational analyses were complemented by in vitro experiments and circular dichroism spectroscopy. The platelet aggregation in human platelet-rich plasma was assessed after ADP or collagen stimulation. Furthermore, the extracts’ biocompatibility was tested on human peripheral blood mononuclear cells (PBMCs) and red blood cells (RBCs). Results: The extracts slightly prolonged the prothrombin and thrombin times and effectively inhibited the thrombin’s enzymatic activity, reducing its amidolytic and proteolytic functions at 50 μg/mL by 91.2% and 74.8%, respectively. In silico molecular docking demonstrated a strong binding affinity of the examined polyphenols and their metabolites to thrombin. Most analytes bound exclusively within the enzyme active site; however, afzelin, kaempferitrin, and procyanidin A2 revealed the affinity to additional binding sites, including exosite I. The structure-activity relationship of flavonols as thrombin inhibitors was studied in vitro. Circular dichroism spectroscopy confirmed that the interactions between thrombin and the compounds (even at 1 μg/mL) induce alterations within the α-helices’ secondary structure, resulting in noticeable changes in the enzyme’s CD spectrum. On the other hand, the extracts did not influence platelet aggregation. Eventually, their cellular biocompatibility with PBMCs and RBCs was confirmed. Conclusion: The extracts directly inhibit thrombin, a critical serine protease in hemostasis and a prime anticoagulant drug target, and do not exhibit antiplatelet effects. This study enhances the knowledge of the biological activity of blackthorn flowers and supports their traditional use in CVDs.