Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint subcarrier and power allocation with proportional fairness in multicarrier nonorthogonal multiple access systems

In this paper, we investigate joint subcarrier and power allocation in multicarrier nonorthogonal multiple access (MC‐NOMA) systems aims to guarantee rate proportional fairness among all users. To this end, we adopt the sum logarithmic rate function as the objective and formulate a resource optimization problem which is a mixed‐integer nonlinear programming (MINLP) problem. Based on variable relaxation and replacement, we convert this problem into a convex optimization problem. On this basis, the expressions of joint subcarrier and power allocation solutions are obtained by using convex optimization theory and the Karush–Kuhn–Tucker (KKT) condition. However, power and subcarrier allocation solutions are highly coupled, and it is difficult to derive both solutions simultaneously. Fortunately, when the subcarrier allocation strategy is given, the optimal power allocation solution can be derived by solving the equations. Furthermore, we develop an iterative resource allocation algorithm to implement joint subcarrier and power allocation among users. Numerical results reveal that the proposed algorithm is effective in general multiuser and multicarrier scenarios, and a substantial performance improvement can be achieved by the proposed algorithm in contrast with the traditional orthogonal multiple access (OMA) schemes. In specific, the proposed algorithm achieves 63% and 59% gains in terms of utility and fairness performance, respectively.
"They Care, We Share": Perceived Fairness in Performance Appraisal Systems on Knowledge Sharing

The strategic importance of knowledge especially under dynamic business conditions makes it imperative to primarily understand the creation of the knowledge base. This paper employs mixed-method approach to understand the various triggers that motivate the knowledge sharing behavior of the IT employees working in Indian firms. Firstly, a qualitative study that comprised of thirteen in-depth interviews aimed to capture the participants’ understanding of, the context and the factors that trigger knowledge-sharing behavior. The fairness in performance appraisal, manager’s support, and career success were found to be the key triggers. Then, a quantitative study of 105 IT professionals examined the effect of the identified variables. Results suggested a positive relationship between perceived fairness in performance appraisal and knowledge-sharing behavior and the mediating role of career and hierarchical success between perceived fairness in performance appraisal system and knowledge-sharing behavior. The implications for both theory and practice have also been discussed in detail.
Robust Precoding for 3D Massive MIMO Configuration With Matrix Manifold Optimization

This paper investigates robust downlink precoding for three-dimensional (3D) massive multi-input multi-output (MIMO) configuration with matrix manifold optimization. Starting with a posteriori channel model, we formulate the robust precoder design to maximize an upper bound of ergodic weighted sum-rate under a total power budget. We derive the generalized eigenvector structure for optimal precoder with matrix manifold optimization. However, since the precoding of multiple users is coupled in the structure, we maximize the objective function for each user in alternation and prove the solution of each individual problem is the generalized eigenvector corresponding to the maximum generalized eigenvalue. In accordance with this, we design an iterative algorithm and present its convergence analysis. Furthermore, we propose a Riemannian conjugate gradient (RCG) method to solve the generalized eigenvalue problem (GEP) for higher efficiency in the precoder design algorithm.
Dry Pet Food Flavor Enhancers and Their Impact on Palatability: A Review

Pet foods are a vital component of the global food industry. Pet food’s success depends on its acceptance by both consumers (the pets) and purchasers (the pet owners). Palatability tests using panels of both trained and untrained pets are often used to measure the preference and acceptability of pet foods. Human perception of pet foods is usually determined by descriptive sensory analysis. Since dry pet foods (also known as kibbles), while being the most popular, are the least palatable, palatants as a flavor enhancer are generally added to dry pet foods to increase their acceptability to pets. Pet foods can also be prepared to be more appealing to pet owners if the chosen aromas and flavors are commonly associated with human food. With increasing demand, developing flavor enhancers to meet the needs of both pets and owners is becoming increasingly important. This review summarized the current state of flavor enhancers used in the pet food industry and their influence on food palatability from both animal and human standpoints.
The winding road of requesting healthcare data for analytics purposes: using the one-interview mental model method for improving services of health data governance and big data request processes

ABSTRACT Medical schools store large sets of patient data. The data is important for the analysis of trends and patterns in healthcare practice. However, obtaining access to the data can be problematic due to the data protection mechanisms. In this study, we investigate the current practices from the lens of both the data requester and the data provider. Results reveal discrepancies between how the provider organises the data governance process, how the process is presented to the data requester, and the data requester’s perception of satisfactory user experience. This study provides a simple one interview mental model method approach for data governance services to reveal potential problems in the process. This is a quick and effective method for data providers to help uncover the challenges and to provide foundations for future fully automated (human out of the loop) systems for data accessibility in healthcare organisations.
Cancer Growth Inhibition Using Predictive Mathematical Models of Signaling Pathways

Cancer cells develop several hallmark changes over the progress of the tumor process. Cell assistance in multicellular organisms is regulated by the division of cell coordination by aggressive growth modulation. In this perspective, the use of molecular indicators triggering cell division is a mystery, because a cancer cell can manipulate any molecule that induces and helps growth, disturbing cellular assistance. An effective alteration proceeding to tumors must develop to be competitive, allowing a cancer cell to pass a signal resulting in better selection chances. The subjective simulation of physiological systems has become increasingly valuable in recent years, and there is now a wide range of mathematical models of signalling pathways that have contributed to some groundbreaking discoveries and hypotheses as to how this system works. Here we discuss various modeling methods and their application to the physiology of medical systems, focusing on the identification of parameters in ordinary differential equation models and their significance for forecasting cellular decisions in network modeling. In situations of global and local cell-to-cell rivalry, we quantify how this mechanism impacts a mutated cell's fixing chance of producing such a signal, and consider that this process will play a vital role in reducing cancer.
Deblending and merging of 3D multi‐sweep seismic blended data

Seismic blended source acquisition, also referred to as simultaneous source acquisition, is a cost‐effective technology that achieves a significant reduction in acquisition cycle time and increases seismic crew field productivity. The dispersed source array is a blended acquisition field technique that simultaneously employs sources emitting different types of sweeps (i.e. multi‐sweep), in terms of frequency bandwidth and length, which ultimately will result in a full broadband seismic data. In this paper, deblending of 3D multi‐sweep seismic blended data and the subsequent merging of the data volumes having different frequency bandwidths will be discussed. In specific data domains where the signal component is coherent, interference shots (i.e. blending noise) are randomly distributed in the data space according to its own shot firing time. Therefore, the deblending process, which separates interference shots from a signal component, becomes a noise attenuation problem. A sparse inversion methodology is applied in the frequency–wavenumber–wavenumber (f–kx–ky) domain to attenuate blending noise. By applying this deblending methodology to both dispersed source array's low‐ and mid‐high‐frequency bandwidths, we obtained high‐quality deblending results. For both frequency bandwidths of the deblended dispersed source array data, additional effort was made to combine the two datasets to a single broadband data volume. Consequently, deblending and merging of the dispersed source array blended data generated a broadband, deblended and well‐balanced seismic volume suitable for further processing and reservoir characterization applications.
Internal business process performance of the Nepalese telecom industry

The study looked at the use of internal business process metrics within the performance assessment framework of the Nepalese telecom industry. It employed a descriptive study approach and an organized questionnaire survey instrument. The population of this study included all of Nepal’s telecom operators and their employees. The sample organizations from which random sampling techniques obtained the responses of 318 employees were Nepal Telecom and Ncell. The employees who hold at least offers and above positions at their company were the targeted respondents of the study. Three parts of the survey questionnaire were set up with 27 questions of different types to gather data. SPSS (statistical package for social sciences) program was employed to process and analyze the data. Sixteen measuring variables within four constructs were examined to assess the IBPP (internal business process performance). Three of these constructs: operations management (β = 0.229, p &lt; 0.01), customer management (β = 0.380, p &lt; 0.01), and regulatory and social processes (β = 0.175, p &lt; 0.01) were found to have a statistically significant and favorable impact on the IBPP while innovation processes (β = 0.024, p &gt; 0.05) was not properly applied and understood in the Nepalese telecom industry. The findings of this study will help identify the primary drivers of performance metrics and their relevance in organizational performance for the Nepalese telecom industry.
CaPti1/CaERF4 module positively regulates pepper resistance to bacterial wilt disease through coupling enhanced immunity and dehydration tolerance

Bacterial wilt, a severe disease that affects over 250 plant species, is caused by Ralstonia solanacearum through vascular system blockade. Although both plant immunity and dehydration tolerance might contribute to disease resistance, whether and how they are related are still unclear. Herein, we provide evidence that immunity against R. solanacearum and dehydration tolerance are coupled and regulated by CaPti1-CaERF4 module. By expression profiling, virus-induced gene silencing in pepper and overexpression in Nicotiana benthamiana, both CaPti1 and CaERF4 were upregulated by R. solanacearum inoculation, dehydration stress and exogenously applied ABA. They in turn phenocopied with each other in promoting pepper resistance to bacterial wilt not only by activating HR cell death and SA-dependent CaPR1, but also by activating dehydration tolerance related CaOSM1 and CaOSR1, and stomata closure to reduce water loss in ABA signaling dependent manner. Yeast-two hybrid assay showed that CaERF4 interacts with CaPti1, which was confirmed by co-immunoprecipitation and pull-down assays. Chromatin immunoprecipitation and electrophoretic mobility shift assay showed that, upon R. solanacearum inoculation, CaPR1, CaOSM1 and CaOSR1 were directly targeted and positively regulated by CaERF4 via binding GCC-box or DRE-box, which was potentiated by CaPti1. In addition, our data indicate that CaPti1-CaERF4 complex might act downstream ABA signaling, since the exogenously applied ABA did not alter stomata aperture regulated by CaPti1-CaERF4 module. Importantly, CaPti1-CaERF4 module was found also acts positively in pepper growth and response to dehydration stress. Collectively, the results suggest that immunity and dehydration tolerance are coupled and positively regulated by CaPti1-CaERF4 in pepper plants to enhance resistance against R. solanacearum. Summary Pepper immunity and dehydration tolerance are coupled and regulated by the CaPti1-CaERF4 module partially in a way related to ABA signaling and stomata closure.
Turbidity and Chemical Oxygen Demand Reduction from Pig Slurry through a Coagulation Flocculation Process

Pig slurry is considered a high-risk effluent that causes several environmental problems if it is not adequately managed and treated. White Iberian pig farms in the southeast of Spain treat their slurry in situ using separation, double filtration, decantation, and constructed wetland treatments. However, the pretreatment process does not successfully reduce solids, which leads to clogging in the constructed wetlands (CWs). The main objective of this research paper is to reduce the turbidity and chemical oxygen demand (COD) from the effluent to make it appropriate for CW treatment. Optimization of the coagulation–flocculation (CF) process using iron chloride and a cationic flocculent DKFLOCC-1598 was investigated by a central composite design method (CCD). The effects of coagulant concentration, pH, and flocculent on the COD and turbidity removal were evaluated. The best results were found using 0.024 mol L−1 iron chloride and 0.164 mL L−1 flocculent at pH 7.5, which reduced COD by 96% and delivered turbidity removal of 97%. Therefore, the results indicate the high efficiency of the treatment method in reducing the COD and suspended solids.
INFORMATION EXTRACTION USING SVM UNEVEN MARGIN FOR MULTI-LANGUAGE DOCUMENT

We applied SVM Uneven Margin (SVMUM) for cross lingual Information Extraction (IE) task. SVM has been proved to have good performance in IE task for English documents. So far, no IE research has been conducted for multi-language documents where the majority text are written in language with low resource tool such as Indonesian. In the experiment, we compared several training data composition to see its impact on the token classification of IE task for the multi-language document. The result shows that even though the linguistics information for Indonesian are not satistfying, the IE performance can still be improved by adding the training data. We also compared the SVMUM with kNN and NB as the learning algorithm in the token classification of IE task. The experimental results showed that SVMUM is suitable for multi-language documents. The IE accuracy achieved better performance than the other two algorithms.
The Key Technology of High-Definition Maps Distribution Based on Edge Computing

: The High-Definition map (HD map) is a key technology to achieve automatic driving above the grade of L3, with the amount of data comes to more than 10 5 times that of traditional navigation map. With the arrival of 5G communication and the rapid development of Internet of Things, each autonomous vehicle will request HD map service by accessing the Internet. The service of traditional navigation map under “cloud-end” mode may not be well adapted to future HD map application, so the paper proposes a MEC proposal for HD map application, deploying HD map server under “ cloud-edge-end” mode to mitigate the high latency and improve low reliability caused by the faraway physical distance rather than “ cloud-end” mode. The HD map is divided according to the latitude and longitude regions, being pushed to local edge computing node servers respectively to realize the interaction between autonomous vehicles and edge servers, which makes more convenient and reliable HD map services available. The experimental results show that the proposed proposal can cut off the communication delay effectively, ensuring the reliability of the HD map service, and providing high-quality HD map service for autonomous vehicles.
Deposition, Characterization, and Modeling of Scandium-Doped Aluminum Nitride Thin Film for Piezoelectric Devices

In this work, we systematically studied the deposition, characterization, and crystal structure modeling of ScAlN thin film. Measurements of the piezoelectric device’s relevant material properties, such as crystal structure, crystallographic orientation, and piezoelectric response, were performed to characterize the Sc0.29Al0. 71N thin film grown using pulsed DC magnetron sputtering. Crystal structure modeling of the ScAlN thin film is proposed and validated, and the structure–property relations are discussed. The investigation results indicated that the sputtered thin film using seed layer technique had a good crystalline quality and a clear grain boundary. In addition, the effective piezoelectric coefficient d33 was up to 12.6 pC/N, and there was no wurtzite-to-rocksalt phase transition under high pressure. These good features demonstrated that the sputtered ScAlN is promising for application in high-coupling piezoelectric devices with high-pressure stability.
Diversity and dynamics in larval digenean assemblages parasitizing Heleobia parchappii in a freshwater shallow lake from the Southeastern Pampa plain, Argentina

Abstract Digeneans have important roles within ecosystems; however, it is estimated that only 14% of the species have been described. Therefore, before being able to detail their role, digenean species’ identification and the diversity present in the ecosystems must be known. In this study, the diversity and the temporal-spatial dynamics of larval digeneans in the freshwater snail Heleobia parchappii were analysed in a shallow lake. Specimens of H. parchappii were collected seasonally at three points during one year and a total of 2871 molluscs were analysed. A total of 23 species of digenea were registered and both the overall prevalence and the composition of the assemblages presented temporal and spatial variations, responding to the differential environmental conditions characteristics (anthropic effect, presence of native forests, and differential use of the habitat by the definitive hosts) of three sampled sites. The assemblages of larval digenean in their first intermediate host support the idea that this area is of great importance in biodiversity, and could be endemic areas of some species of digenean that use reptiles, amphibians and bats as hosts, groups that are at risk of conservation. Protection of these environments is a fundamental pillar in the policies for the conservation of wild flora and fauna.
MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS-L_1

Approximate Nearest Neighbor Search (ANNS) is a fundamental algorithmic problem, with numerous applications in many areas of computer science. Locality-Sensitive Hashing (LSH) is one of the most popular solution approaches for ANNS. A common shortcoming of many LSH schemes is that since they probe only a single bucket in a hash table, they need to use a large number of hash tables to achieve a high query accuracy. For ANNS- L 2 , a multi-probe scheme was proposed to overcome this drawback by strategically probing multiple buckets in a hash table. In this work, we propose MP-RW-LSH, the first and so far only multi-probe LSH solution to ANNS in L 1 distance, and show that it achieves a better tradeoff between scalability and query efficiency than all existing LSH-based solutions. We also explain why a state-of-the-art ANNS -L 1 solution called Cauchy projection LSH (CP-LSH) is fundamentally not suitable for multi-probe extension. Finally, as a use case, we construct, using MP-RW-LSH as the underlying "ANNS- L 1 engine", a new ANNS-E (E for edit distance) solution that beats the state of the art.
A Case of Rheumatoid Arthritis Associated with Microcytic Anemia

Rheumatoid arthritis (RA) is one of the most common inflammatory arthritides. It is associated with multiple systemic features, including hematological manifestations such as anemia, neutropenia and thrombocytopenia. However, immune hemolytic anemia is extremely rare with only 3 reports indexed in medline, and one of them being due to methotrexate toxicity. Microcytic anemia is a condition in which the body's tissues and organs do not get enough oxygen. This lack of oxygen can happen because the body does not have enough red blood cells, or because the red blood cells do not contain enough hemoglobin, which is a protein that transports oxygen in the blood. Case Presentation: A 60 year old female a known case of rhematoid arthritis and hypothyrodisam in 2013 for last past 3 years. Who presented to us with history of recurrent anemia . In march 2021, she was admitted to hospital because of palpitations and shortness of breath due to severe anemia. Results of laboratory studies were hemoglobin, 6.9 gm/dl and haptoglobin, less than 29.8mg/dl. A diagnosis of anemia was made on the basis of the laboratory findings She was transfused with 1units packed red blood cells (pRBCs) over less than 6 hours. High-dose PSL (50 mg/day) was started, and the anemia improved. The hemoglobin level increased to 7.0 gm/dl within the 1st week. Conclusion: The differential diagnosis of various hematological disorders should include rheumatic autoimmune diseases among other causes of blood cell and hemostasis abnormalities. It is crucial that hematologists be aware of Treatment should be administered promptly, with rheumatological consultation.
Flower size dimorphism, perianth shape and sex ratio in a gynodioecious Prunella vulgaris (Lamiaceae)

Prunella vulgaris is a gynodioecious species that forms two types of flowers, perfect and female, on different plants. These two sexual types of flowers have significant differences in some characters of calyx, corolla, androecium, and gynoecium. The distinctiveness of gynodioecy in P. vulgaris consists in insignificant size differences in anthers, the formation of sterile pollen in female flowers, and the shape of a corolla in two sexual types of flowers. Hermaphrodite plants are dominated in P. vulgaris (59.8 to 87 percent). In flood plain meadows, the proportion of females is significantly higher (from 25.9 to 40.2 percent) than in dry and forest meadows (from 13 to 19.1 percent).
A Context Service Graph For Web Service Discovery With QoS

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- Service discovery infrastructure provides automatic integration of web services to meet new business objectives. It has three actors service provider, service broker and service requestor. The broker provides the requested service from the registry. The searching of services is very difficult process. The services should be compatible in terms of functional aspect as well as non functional features. Several research efforts have been made to discover the correct services which are going to integrate. Service requestor may use same set of services many times or different requestor may need same set of service. In this paper, I have proposed a model to support service discovery using the current history of set of services involve in execution of a business objective. The context service graph stores the successful execution of set of web services and stores the QoS at start node for comparing the QoS requirement with the new service requestor QoS. The context service graph is present at the broker side along with task details.