Miracle-dz/UniFAR-FTUs huggingface dataset:
Container-Based Microservice Placement Optimization in Cloud

: Today, many applications operate as containerized microservices running on multi-machine clusters in cloud computing environments. High container-machine placement quality increases throughput, reduces latency, and improves cluster resource utilization. Optimal placement is achieved by solving complex multidimensional optimization problems. However, in response to the highly volatile nature of the cloud environment, modern container management systems opt for suboptimal placement, prioritizing quick decision-making. Over time, these poor decisions compound, increasing the need for placement reevaluation. Available reevaluation solutions change the placement of containers by making them undergo the same placement process again, with no guarantee of improved results. To address the issue, this thesis presents a novel placement reevaluation algorithm based on the particle swarm optimization approach with a focus on optimizing infrastructure costs. By integrating interzonal network traffic costs, the proposed algorithm achieves cost reductions beyond those obtained through conventional solutions that focus solely on computing resource costs. The stability of the algorithm in high-dimensional tightly bounded discrete search spaces was enhanced through improved particle position initialization. Empirical evaluations demonstrate the efficiency of the proposed algorithm, surpassing traditional optimization problem solvers, while outperforming standard particle swarm optimization implementations in terms of accuracy.
E XAMINATION OF S AHARAN B OUNDARY L AYER BY A S INGLE -C OLUMN AND 3D WRF M ODEL – A C ASE STUDY FOR F ENNEC C AMPAIGN

Understanding of the atmospheric boundary layer (ABL) processes, as well as description of the layer characteristics and vertical structure above deserts is very important for investigation of effects of deserts on weather, climate and transport of mineral dust. According to high insolation and lack of moisture Saharan boundary layer is the one of the deepest on the Earth. The aim of our study is to examine structure of the Saharan boundary layer and temporal evolution of the ABL height employing a single-column ABL model and the 3D Weather Research and Forecasting (WRF) model. WRF runs were done using the telescopic nesting method and 4 different ABL parameterization setups. Model outputs were compared with radiosonde data obtained during Fennec campaign (2011).
HISTOPATHOLOGICAL STUDY OF PROSTATE LESIONS-AN INSTITUTIONAL EXPERIENCE

Introduction: Prostate gland pathologies are an important cause of morbidity and mortality in male patients. Disease spectrum for prostate comprises of inflammatory conditions, benign hyperplasia, malignancies, etc. Prostatic biopsy is an important test which helps determine various benign conditions as well as cancers in patients with specific indications. Other diagnostic modalities like radiology, prostatic biomarkers have developed, however histopathological examination on tissue biopsy is the gold standard for final diagnosis. Aims and objectives: To study Histopathological features in transurethral resection of prostate (TURP)and needle biopsies and to classify tumours of prostate as per WHO recommendations with analsysis of adenocarcinoma prostate according to Gleason`s grading system. Materials and methods: This study is a prospective study which was conducted from January 2018 to December 2019.The biopsies were fixed in 10% neutral buffered formalin and routine paraffin processing followed by hematoxylin and eosin staining was done. All the specimens were analysed with reference to type of specimen, age of patient and histopathological diagnosis. Results and conclusions: Benign hyperthrophy of prostate (BHP) was the commonest encountered lesion 114 cases (85%) which was accompanied by prostatitis in many cases. Prostatic adenocarcinoma was found in 10 cases(7.4%). Gleason`s score were predominantly of high values 7-9.The age range was 25 to 89 years and mean age was 57 years.
E xpansion and collapse of single cavitation bubbles right at a solid boundary

We present results from numerical simulations modeling the dynamics of single (laser-generated) cavitation bubbles expanding and collapsing right at a plane solid boundary. The model consists of a bubble ﬁlled with a small amount of non-condensable gas in a compressible liquid. The Navier-Stokes equations are discretized with the ﬁ-nite volume method. The volume of ﬂuid method is used to capture the interface between liquid and gas. The model is implemented in the open source software package OpenFOAM. A millimeter sized bubble in water serves as reference to discuss bubble dynamics. The most in-triguing phenomenon that occurs in this conﬁgura-tion is the formation of a fast jet that is directed towards the solid with a speed of the order of 1000 m / s. The jet formation mechanism is explained. Paradox-ically, in this setting, jet formation causally is related to the viscosity of the liquid. Bubble size and liquid viscosity are varied. It is shown that fast jet formation persists for a wide range of liquid viscosities, including e.g. 50 cSt silicone oil. Bubble dynamics and the jet formation mechanism are discussed for values of a bubble Reynolds number, Re b , ranging from 15 to 50 000, with fast jet formation occurring for Re b ≳ 300.
Influence of Innovation Strategy on the Organizational Performance of Kenya Broadcasting Corporation in Nairobi City County, Kenya

: Organizational attainment is a predominant subject for scholars in the field of strategic management because of the intense drift of determinants and circumstances in the organizational ambience. Industry observers have noted that the consummation of companies in the mass media sector has been rising and falling over time due to the volatility of the environmental factors characteristic of the said industry. It is visualized that firms that endeavour to thrive in environments that are invariably changing must embrace relevant calculated judgments that would fundamentally improve their performance. This inquiry, therefore, sought to investigate the sway of innovation strategy on the organizational performance of the Kenya Broadcasting Corporation in Nairobi City County. The specific objective of the study sought to determine the influence of innovation strategy on the organizational performance of the Kenya Broadcasting Corporation. The theory underpinning the study objective was the Contingency theory. The researcher utilized the descriptive research design. The target population comprised the members of staff at the headquarters of the Kenya Broadcasting Corporation in Nairobi City County, Kenya. The target respondents were selected using stratified random sampling of 150 employees from the departments of Radio, Television, ICT, Technical Services, Corporate Planning, Research and Development and Administration. The study used primary data which were gathered using a semi-structured questionnaire. The research findings revealed that innovation strategy (β=0.907), was statistically significant in determining organizational performance and that it accounted for 34.5% of the variation in the organizational performance as depicted by the coefficient of multiple determination (R 2 =0.345). Having established that innovation strategy had a positive effect on organizational performance, the management of the Kenya Broadcasting Corporation could utilize the findings in formulating policies that foment the activities and practices associated with innovation strategy to enhance performance on different fronts.
. Diferencias entre Integrantes del Núcleo y la Periferia

técnicas para justificar su conducta, cuestionando la norma legal y atribuyendo la responsabilidad a circunstancias externas como “no tener otra salida”. Los integrantes de la periferia utilizan menos técnicas y en menos ocasiones que los del núcleo y son los únicos que asumen la responsabilidad por el delito cometido.
Haloacetic Acids Found as Water Disinfection By-products (Selected)

Disinfection of the public water supply is an important aspect of public health in the prevention of disease transmission in the United States and worldwide (Calderon 2000). Haloacetic acids are formed as by-products during the disinfection of water, as the result of reactions between chlorine-based disinfection agents (chlorine, chloramine, and chlorine dioxide) and organic molecules in the source water (such as humic acid). Humans are exposed to haloacetic acids in disinfected water, and exposure is to mixtures of disinfection by-products, including haloacetic acids and other types of by-products. Only one epidemiological study was identified that evaluated the relationship between human cancer risk and estimated exposures to several individual haloacetic acids and to a mixture of five regulated haloacetic acids (monochloroacetic, dichloroacetic, trichloroacetic, monobromoacetic, and dibromoacetic acids) (Jones et al. 2017). This study did not find an association between exposure to haloacetic acids in drinking water and the incidence of kidney cancer. Several epidemiological studies of exposure to chlorinated water or to other water disinfection byproducts (such as trihalomethanes) as proxies for mixtures of byproducts found an association with increased risk of urinary-bladder cancer (reviewed by IARC 2013, Villanueva et al. 2017). Although these studies did not investigate exposure specifically to haloacetic acids, they provided some information on the potential cancer risk of human exposure to water disinfection by-products, and they supported the relevance to humans of the cancer studies of haloacetic acids at higher doses in experimental animals. Currently, public exposure to disinfection by-products in chlorinated water is limited through regulation of specific water disinfection by-products or classes of by-products. The existing epidemiological studies cannot separate the effects of different types of water disinfection by-products. However, toxicological studies of specific byproducts, including haloacetic acids, are available to help inform public health decisions. Trihalomethanes and haloacetic acids are the largest groups of water disinfection by-products by weight, making up about 50% to 75% of total halogenated disinfection by-products and about 25% to 50% of total organic halides in drinking water (Krasner et al. 2006, 2016). Two trihalomethanes — chloroform and bromodichloromethane — are listed in the Report on Carcinogens as reasonably anticipated to be a human carcinogen. The U.S. Environmental Protection Agency (EPA) regulates the mixture of five haloacetic acids mentioned above, two of which (dichloroacetic acid and dibromoacetic acid) are included in this listing. NTP evaluated 13 haloacetic acids identified in chlorinated drinking water, six of which are individually listed as reasonably anticipated to be a human carcinogen in the Report on Carcinogens:
Impact of Betanin on Diabetes Induced Experimentally by Streptozotocin and Associated Histopathological Changes in Albino Adult Rats

Background: The endocrine problem diabetes mellitus is the most prevalent condition. Over time, the heart and blood arteries become among the tissues and organs that are negatively impacted by this medical disease. Beets' anti-inflammatory, antioxidant, anti-tumor, high pressure-lowering, neuroprotective, and immune-modulating advantages are equivalent to those of pharmaceuticals. Aim of the work : Analyzing the effects of betanin on experimentally generated diabetes and related Histopathological Alteration in Adult Albino Rats. Material and Methods: Rattus norvegicus albino adult males were separated into four equal groups, as follows: Group I functioned as the control group, Group II was the diabetic group, Group III was the normal plus betanin, and Group IV was the diabetic group that had been given betanin therapy. The samples of blood have been collected at the completion of the study's period to be investigated blood glucose levels, glycated haemoglobin, serum insulin, alanine amino transferase (ALT), aspartate amino transferase (AST), lipid profiles, malondialdehyde (MDA), tumour necrosis factor alpha (TNFα), catalase, nuclear factor Kapp, lactate dehydrogenase, interleukin 1 and interleukin 6. Additionally, liver and pancreas samples were taken for a histopathology investigation. Results: The drug streptozotocin (STZ) substantially increased levels of blood sugar, glycated haemoglobin, cholesterol, alanine amino transferase, aspartate amino transferase, malondialdehyde, TNF, lactate dehydrogenase, nuclear factor kappa, IL-1, and IL-6 while substantially reducing levels of serum insulin and catalase. All levels substantially improved after receiving betanin treatment. Conclusion: Due to its antioxidant properties, betanin has a preventive impact on diabetic rats.
Agricultural research, livelihoods, and poverty: studies of economic and social impacts in six countries.

Those who study global poverty and ways to reduce it face a perennial set of questions: Do advances in knowledge, research, and technology make a real difference in the lives of poor people? What effect does research have on the poor? Who benefits? The contributors to Agricultural Research, Livelihoods, and Poverty shed light on these questions through a collection of case studies that explore the types of impact that agricultural research has had on livelihoods and poverty in low-income countries.
Evaluation of depression, anxiety, and stress in mothers of children with asthma

Objective: For disease management of the asthmatic children, the evaluation of the mental status of the mothers is necessary. We aimed to evaluate the depression, anxiety, and stress of mothers of children with asthma. Material and Methods: The descriptive type study was conducted with the mothers of asthmatic children aged 4–18 years. Sociodemographics, Childhood Asthma Control Test (C-ACT), Asthma Control Test (ACT)
Optimizing Piezoelectric Coefficient in PVDF Fibers: Key Strategies for Energy Harvesting and Smart Textiles

With the advancement in smart electronic devices and self‐powered devices, the demand for piezoelectric polymers has found potential research interest. Among these, electrospun polyvinylidene fluoride (PVDF) fibers have gained attention for energy harvesting due to their flexibility and higher piezoelectric coefficient. In the current work, various methods are compared to enhance PVDF's piezoelectric properties, including different solvents (DMAc, DMF), conductive filler (rGO), and annealing as post‐treatment. The results indicate that PVDF/rGO fibers in DMAc solvent exhibit the highest β phase fraction and crystallinity. Moreover, for the first time, the piezoelectric properties of PVDF/rGO electrospun single fiber is presented using high voltage switching spectroscopy piezoelectric force microscopy (HVSS‐PFM). The highest piezoelectric coefficient (d33) is measured for PVDF/DMAc‐rGO composite fibers. Notably, PVDF/rGO in DMAc solvent significantly improves the piezoelectric coefficient, leading to a remarkable fourfold increase in power density compared to pure PVDF, making it a promising material for energy harvesting applications.
Modeling the population of China using DMSP operational linescan system nighttime data

Radiance-calibrated DMSP-OLS nighttime lights data of China acquired between March 1996 and January-February 1997 were evaluated for their potential as a source of population data at the provincial, county, and city levels. The light clusters were classified into six categories of light intensity, and their areal extents were extracted from the image. Mean pixel values of light clusters corresponding to the settlements were also extracted. A light volume measure was developed to gauge the three-dimensional capacity of a settlement. A density of light cluster measure known as percent light area was also calculated for each spatial unit. Allometric growth models and linear regression models were developed to estimate the Chinese population and population densities at the three spatial levels using light area, light volume, pixel mean, and percent light area as independent variables. It was found that the DMSP-OLS nighttime data produced reasonably accurate estimates of non-agricultural (urban) population at both the county and city levels using the allometric growth model and the light area or light volume as input. Non-agricultural population density was best estimated using percent light area in a linear regression model at the county level. The total sums of the estimates for non-agricultural population and even population overall closely approximated the true values given by the Chinese statistics at all three spatial levels. It is concluded that the 1-km resolution radiance-calibrated DMSP-OLS nighttime lights image has the potential to provide population estimates of a country and shed light on its urban population from space.
Smart Rotor With Trailing Edge Flap Considering Bend–Twist Coupling and Aerodynamic Damping: Modeling and Control

Aerodynamic damping and bend–twist coupling significantly affect the dynamic response of wind turbines. In this paper, unsteady aerodynamics, aerodynamic damping, and bend–twist coupling (twist-towards-feather) are combined to establish a smart rotor model with trailing edge flaps (TEFs) based on a National Renewable Energy Laboratory (NREL) 5 MW reference horizontal-axis wind turbine. The overall idea is to quantitatively evaluate the influence of aerodynamic damping and bend–twist coupling on the smart rotor and to present the control effect of the TEFs under normal wind turbine operating conditions. An aerodynamic model considering the dynamic stall and aerodynamic damping as well as a structural bend–twist coupling model with the influence of gravity and centrifugal force are incorporated into the coupling analysis. The model verification shows that the present model is relatively stable under highly unsteady wind conditions. Then, a robust adaptive tracking (RAT) controller is designed to suppress fluctuations in both the flapwise tip deflection and output power. The simulations show an average reduction of up to 63.86% in the flapwise tip deflection power spectral density (PSD) of blade 1 at the 1P frequency, with an average reduction in the standard deviation of the output power of up to 34.33%.
Feasibility study of magnetic sensing for detecting single-neuron action potentials

Understanding the magnitude of the local magnetic ﬁ elds generated by neurons is critical to assessing the feasibility of novel magnetic ﬁ eld sensors to record in vivo neuronal activities at cellular resolution. However, the strength of the magnetic ﬁ elds induced by individual neurons and neuronal networks has not been systematically studied. This step is critical for evaluating and benchmarking the ability of diﬀ erent magnetic ﬁ eld sensors to record neuronal activities with far better spatial and temporal resolution. Herein, FEM exemplary models and open-source computational libraries are used to calculate the magnetic ﬁ elds generated by individual neurons and neuronal networks at micrometer distances. Our theoretical results show that the magnetic ﬁ eld generated by a single-neuron action potential can be detected by ultra-high sensitivity sub-pT magnetic ﬁ eld sensors, which opens the door to future in vivo decoding of neuronal activities through custom neural networks. We anticipate that the identiﬁ cation of single-neuron signals with high-sensitivity magnetic devices will allow the interface of nanoscale devices to interpret biological signals supported by machine-learning techniques capable of monitoring and predicting the localized activities underlying brain computations.
A Functional Connectivity Model of Sensorimotor Regions Within the Cerebellum to Predict Handedness

Cerebellar hypoplasia can be caused by congenital or post-natal viral infection or a genetic mutation, and leads to an underdeveloped cerebellum, motor dysfunction, and ataxia. Cerebellar dysfunction can also originate from neurodegenerative diseases. This affects the functional coupling of the cerebellum and multiple sensorimotor cerebral networks. Using resting-state fMRI, correlational studies have mapped cerebellar lobules to cerebral cortices and yielded models of cerebral-cerebellar interactions. This study investigated functional connectivity between cerebellar lobules focusing on sensorimotor regions by comparing task-based fMRI data from participants of an existing open-source dataset. To process and visualize the fMRI data, this study referenced anatomical and functional network atlases and used various statistical and computational software packages. Handedness was inferred from first-level functional connectivity analysis to create groups and performed second-level functional connectivity between-groups analysis. Statistically significant differences in functional connectivity between sensorimotor intracerebellar regions were identified, which may be attributable to differences in handedness. The present study showed that when compared to participants inferred to be left-handed or ambidextrous, participants inferred to be right-hand dominant had statistically significant differences in functional connectivity in specific sensorimotor regions, including lobules IV/V left to IV/V right when performing right-hand tasks, and lobules VIII left to III left when performing left-hand tasks. This finding informed the creation of a proposed right-hand sensorimotor intracerebellar model which may be visualized using various platforms. Through integrating causal and correlational imaging data to model intracerebellar connectivity, this study furthers research about the diagnosis and treatment of cerebellar hypoplasia and cerebellar dysfunction.
For and against

This article will provide an account of research undertaken in relation to a single session on an MA in Social Work course, which featured a debate on the place of religion in social work. Research on the session was conducted through the use of two focus groups with participants and also through the use of a questionnaire completed by the whole student group immediately after the debate. Material from the research was presented in a workshop in the Seventh International Conference for Practice Learning and Field Education in Health and Social Work in York in July 2008. This article analyses excerpts from the debate itself, the focus groups and material from the questionnaire (appended). Whilst using a debate is an interesting starting point for addressing this topic it has both advantages and disadvantages as shall be seen. The article builds on Gregory and Holloway’s (2005) work on the use of debates in social work education and also draws on a broader framework for social work education published recently by colleagues at the University of Sussex (Lefevre et al., 2008). The article highlights the lack of work published concerning how the topic of religion and spirituality is addressed in social work education and offers the debate as the start of a way forward.
A Domain Decomposition Scheme with an Efficient Multitrace Multiresolution Preconditioner for the Simulation of Complex Composite Problems

In this work we present a multitrace method including an automatic and multilevel quasi-Helmholtz decomposition integrated with the domain decomposition method for the solution of arbitrary complex geometries composed of piecewise homogeneous composite objects. A numerical experiment demonstrates the flexibility of the proposed approach for the solution of large multi-scale objects composed of multiple materials.