Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images

Brain tumor classification is a very important and the most prominent step for assessing life-threatening abnormal tissues and providing an efficient treatment in patient recovery. To identify pathological conditions in the brain, there exist various medical imaging technologies. Magnetic Resonance Imaging (MRI) is extensively used in medical imaging due to its excellent image quality and independence from ionizing radiations. The significance of deep learning, a subset of artificial intelligence in the area of medical diagnosis applications, has macadamized the path in rapid developments for brain tumor detection from MRI to higher prediction rate. For brain tumor analysis and classification, the convolution neural network (CNN) is the most extensive and widely used deep learning algorithm. In this work, we present a comparative performance analysis of transfer learning-based CNN-pretrained VGG-16, ResNet-50, and Inception-v3 models for automatic prediction of tumor cells in the brain. Pretrained models are demonstrated on the MRI brain tumor images dataset consisting of 233 images. Our paper aims to locate brain tumors with the utilization of the VGG-16 pretrained CNN model. The performance of our model will be evaluated on accuracy. As an outcome, we can estimate that the pretrained model VGG-16 determines highly adequate results with an increase in the accuracy rate of training and validation.
Novel Tee-Shaped Topology Theory of Low- and High-Pass NGD Double-Type Function

Recent investigation reports that certain electronic circuits operate with the unfamiliar negative group delay (NGD) function. It is fundamentally stated that the NGD circuits can be classified in different types. For example, we have the simplest ones as LP and HP NGD circuit types. So far, all the NGD studies are focused on simple type function. In step up of the research about the NGD electronic circuit engineering, this paper develops an original theory of electronic circuit topology operating with double NGD-type behavior. The study consists in the theorization of three-port circuit simultaneously generating LP and HP NGD function types. The proposed three-port innovative circuit under study is innovatively composed of resistive-capacitive (RC) network of Tee-shaped topology. Moreover, the LP and HP double-NGD circuit is a first order cell which does not contain any inductive component. The LP and HP NGD analyses of the Tee-topology is based on the 3-D S-matrix modelling. Analytical investigation based on classical circuit theory is elaborated to determine the S-matrix model from the equivalent admittance matrix. The identification of the double-NGD function is established from the LP- and HP-NGD canonical forms. Hence, the specific double-NGD characteristics are defined in function of the R and C elements constituting the three-port topology. To validate the developed double-NGD theory, a proof-of-concept (PoC) of SMD lumped component-based three-port circuit is designed, simulated, fabricated and tested. The calculated, simulated and measured results from the three-port circuit PoC prototype in very good agreement confirm the double-NGD behavior. The proposed innovative NGD three-port circuit design is useful in the future for the synchronization of signals propagating through multi-way communication system.
Effects of κ-Carrageenan and Guar Gum on the Rheological Properties and Microstructure of Phycocyanin Gel

The effects of two polysaccharides on the performance and microstructure of phycocyanin gels were studied by choosing anionic polysaccharides (κ-carrageenan) and neutral polysaccharides (guar gum). The linear and nonlinear rheological properties and microstructure of the phycocyanin-polysaccharide composite gel were evaluated. The results show that both κ-carrageenan and guar gum can enhance the network structure of phycocyanin gel and weaken the frequency dependence. The sample with 0.4% κ-carrageenan has the highest gel strength. All samples exhibited Type I behavior (inter-cycling strain-thinning) and mainly elastic behavior. As the concentration of κ-carrageenan increases, hydrophobic interactions and disulfide bonds play an essential role in maintaining the three-dimensional structure of the gel. Too high a concentration of guar gum hinders the formation of protein disulfide bonds. This research can provide a theoretical basis for designing and developing new food products based on phycocyanin and different polysaccharides with ideal texture in the food industry.
Explicating intrinsic motivation's impact on job performance: employee creativity as a mediator

PurposeEliciting superior job performance from the employees is a major challenge confronting the organizational leaders in today's hyper-competitive business environment. Though few studies established the influence of intrinsic motivation on job performance, the role of mediators like employee creativity in this relationship is not adequately researched. The purpose of the paper is to explore the mediating role of employee creativity in the relationship between intrinsic motivation and job performance.Design/methodology/approachThe cross-sectional research design was adopted, and data were collected from 346 full-time employees working in the retail industry in India through an online survey. Analysis of a Moment Structures (AMOS) software was used to test the validity of the hypothesized model, and PROCESS macro was used to test the mediation of employee creativity.FindingsThe findings showed that intrinsic motivation impacted both job performance and employee creativity. Furthermore, employee creativity impacted the employees' job performance. The key finding of the study is the partial mediation of employee creativity in the intrinsic motivation–job performance relationship.Originality/valueGrounded on self-determination theory (SDT) and componential theory of creativity, the paper enriches the literature by evincing the mediation mechanism in the effect of intrinsic motivation on job performance. Moreover, the current paper is one of the primary studies that explore the mediating role of employee creativity in the relationship between intrinsic motivation and job performance.
Medical Psychotherapy Training and the COVID‐19 Pandemic

The COVID‐19 pandemic has seen a move away from face‐to‐face interactions and core psychiatry training has not been immune to this. The Royal College of Psychiatrists introduced online examinations (https://www.rcpsych.ac.uk/training/exams), Health Education England utilized virtual annual reviews of competencies (https://www.hee.nhs.uk/coronavirus-information-trainees), and locally, trusts adopted virtual academic and clinical work. This article seeks to highlight the impact of the pandemic on acquiring psychotherapy experience in the context of core psychiatry training. Trainees delivering psychodynamic psychotherapy via telephone in Surrey and Borders NHS Foundation Trust were included in the study and data were gathered using a phenomenological approach via reports provided by two core trainees in addition to a questionnaire distributed to all core trainees delivering telephone therapy. The results indicated that whilst telephone therapy may not be a full replacement for face‐to‐face contact, it has been an adequate substitute during the COVID‐19 period, enabling trainees to achieve the required competencies, receive supervision and provide care where it may otherwise have been impossible.
Utilizing Non-Orthogonal Multiple Access for Both Latency and Energy Efficiency Improvement in TSCH-Based WSNs

Non-Orthogonal Multiple Access (NOMA) is one of the promising technologies for wireless communication networks. Although NOMA was originally proposed in cellular networks, due to its strengths, it can also be used in other networks, such as wireless sensor networks (WSN). Massive connections and energy limitations are some of the challenges in the WSNs and NOMA can be used to improve spectral efficiency, reduce latency, and increase energy efficiency of the WSN. In this paper we investigate the effect of Power-Domain NOMA (PD-NOMA) on the performance of IEEE 802.15. 4e Time Slotted Channel Hopping (TSCH)-Based WSNs. A clustered WSN is studied where sensor nodes send their data to their cluster heads using NOMA transmissions, where the cluster heads will also utilize NOMA for the transmission of their aggregated data to the sink node. A fair user grouping and power allocation scheme is proposed because of its great influence on the performance of the PD-NOMA, where users utilizing the channel simultaneously and their transmission power levels will be determined. A new clustering algorithm is also proposed to select the appropriate cluster heads for the NOMA transmission. Simulation results show that the proposed scheme improves energy efficiency, latency, and network throughput in IEEE 802.15. 4e TSCH-based WSNs.
"Some Reproductive Problems in Friesian Cows Raised in Yemen (2- Retained Placenta)"

of the placenta is retained in the uterus, resulting in no estrus. In this case, the corpus luteum may be affected, and the mother will be calving stillbirth and secrete the hormone progesterone, which prevents the occurrence of estrus [2]. The causes of placental retention vary, including genetic and non-genetic. Also, among the reasons for placental retention AAL-karmah, N Koşum. Some Reproductive Problems in Friesian Cows Raised in Yemen (2- Retained Placenta). Biomed Sci Res 40(4)-2021. study aims to study some reproductive problems in Friesian cows in Yemen and study the effect of some environmental factors that affect the occurrence of retained placenta in Friesian cows. records Collected on Friesian Cows Maintained Over the Period From 1997- 2007 at the Farm, the Study was included the Retained Placenta Least Squares Method was Used in Data Analysis Results Obtained Maybe summarized as Follows -The General Averages ± Standard Errors of Retained Placenta was 20.63 ± 0.012. Parity of Calving was affected high significantly in Incidence retained placenta, Parturned Cows in the eight Parity High retained placenta (40.90%), Calving Season had Significant Effect on the retained placenta, the Highest and Lowes Incidence of Dystocia were 26.12 and 15.18 % Respectively Among Summer– and winter– born Calves. Year of Calving was Affected High Significantly in Incidence retained placenta. Retained Placenta among Single and Twins Calves were 19.67, 55.55 % (p<0.01) respectively, and Among Males and Females were 23.12, 17.85 % (p<0.01) respectively, the Effects of Dystocia on Retained Placenta Lacked Significance. Stillbirth was affected significantly in the retained placenta.
Mechanisms of Surround Suppression Effect on the Contrast Sensitivity of V1 Neurons in Cats

Surround suppression (SS) is a phenomenon that a neuron's response to visual stimuli within the classical receptive field (cRF) is suppressed by a concurrent stimulation in the surrounding receptive field (sRF) beyond the cRF. Studies show that SS affects neuronal response contrast sensitivity in the primary visual cortex (V1). However, the underlying mechanisms remain unclear. Here, we examined SS effect on the contrast sensitivity of cats' V1 neurons with different preferred SFs using external noise-masked visual stimuli and perceptual template model (PTM) analysis at the system level. The contrast sensitivity was evaluated by the inverted threshold contrast of neurons in response to circular gratings of different contrasts in the cRF with or without an annular grating in the sRF. Our results showed that SS significantly reduced the contrast sensitivity of cats' V1 neurons. The SS-induced reduction of contrast sensitivity was not correlated with SS strength but was dependent on neuron's preferred SF, with a larger reduction for neurons with low preferred SFs than those with high preferred SFs. PTM analysis of threshold versus external noise contrast (TvC) functions indicated that SS decreased contrast sensitivity by increasing both the internal additive noise and impact of external noise for neurons with low preferred SFs, but improving only internal additive noise for neurons with high preferred SFs. Furthermore, the SS effect on the contrast-response function of low- and high-SF neurons also exhibited different mechanisms in contrast gain and response gain. Collectively, these results suggest that the mechanisms of SS effect on neuronal contrast sensitivity may depend on neuronal populations with different SFs.
Standing alongside your friends

Why do countries contribute troops to UN peacekeeping? Recognizing the incentives to free ride on the contributions of other countries, existing explanations have tended to focus on the private benefits of providing troops. There has been particular emphasis on some major contributing countries that gain financially from providing peacekeepers. An alternative explanation could be that countries prefer to deploy troops to peacekeeping alongside countries with similar foreign policy preferences in order to maximize jointly produced private benefits. Accordingly, the willingness to provide peacekeepers should depend on which other countries are providing troops to peacekeeping operations. The implications are explored within the context of games on networks, and it is demonstrated that in equilibrium countries that are more Bonacich central in the network of foreign policy preference contribute disproportionally to UN peacekeeping. Based on actual contributions to UN peacekeeping from 1990 until 2011, we find that policy complementarities explain why countries provide a larger proportion of peacekeepers to a particular mission. Importantly, centrality in the network of policy complementarities matters and not simply that countries have moderate policy preferences. There is robust evidence for the prevalence of peacekeeping alongside your ‘friends’; in effect, countries with a lot of ‘friends’ contribute more peacekeepers.
Entangled phase of simultaneous fermion and exciton condensations realized

Fermion-exciton condensates (FECs) -- computationally and theoretically predicted states that simultaneously exhibit the character of superconducting states and exciton condensates -- are novel quantum states whose properties may involve a hybridization of superconductivity and the dissipationless flow of energy. Here, we exploit prior investigations of superconducting states and exciton condensates on quantum devices to identify a tuneable quantum state preparation entangling the wave functions of the individual condensate states. Utilizing this state preparation, we prepare a variety of FEC states on quantum computers -- realizing strongly correlated FEC states on current, noisy intermediate-scale quantum devices -- and verify the presence of the dual condensate via postmeasurement analysis. This confirmation of the previously predicted condensate state on quantum devices as well as the form of its wave function motivates further theoretical and experimental exploration of the properties, applications, and stability of FECs.
Terrestrial Biomass and Carbon Stock in Broad-leaved Forests of Punakha District, Western Bhutan

The present study assessed the terrestrial biomass of broad-leaved forests to determine the carbon storage potential of each tree species in Punakha. The assessment was based on a woody stem having a minimum of 10 cm diameter at breast height (DBH) and tree height. Biomass was estimated using volumetric equations and carbon stock by multiplying the constant factor 0.5 to biomass. The study covered 41 sampling plots of 31.62 m × 31.62 m and recorded a total of 24 tree species. Total biomass was 274.68 Mg.ha-1 with AGTB 196.36 Mg.ha-1, BGTB 51.07 Mg.ha-1 and DOM 27.22 Mg.ha-1. The total carbon stock estimated was 137.34 MgC.ha-1. The present study used a non-destructive approach to assess the carbon storage potential of each broad-leaved tree species and concludes that Punakha broad-leaved forest has the potential to accumulate more biomass and carbon stock, as DBH class-wise biomass and carbon distribution showed right-skewed trend indicating young forest stands.
Protective Effects of Melatonin and Misoprostol against Experimentally Induced Increases in Intestinal Permeability in Rats

Intestinal mucosal barrier dysfunction caused by disease and/or chemotherapy lacks an effective treatment, which highlights a strong medical need. Our group has previously demonstrated the potential of melatonin and misoprostol to treat increases in intestinal mucosal permeability induced by 15-min luminal exposure to a surfactant, sodium dodecyl sulfate (SDS). However, it is not known which luminal melatonin and misoprostol concentrations are effective, and whether they are effective for a longer SDS exposure time. The objective of this single-pass intestinal perfusion study in rats was to investigate the concentration-dependent effect of melatonin and misoprostol on an increase in intestinal permeability induced by 60-min luminal SDS exposure. The cytoprotective effect was investigated by evaluating the intestinal clearance of 51Cr-labeled EDTA in response to luminal SDS as well as a histological evaluation of the exposed tissue. Melatonin at both 10 and 100 µM reduced SDS-induced increase in permeability by 50%. Misoprostol at 1 and 10 µM reduced the permeability by 50 and 75%, respectively. Combination of the two drugs at their respective highest concentrations had no additive protective effect. These in vivo results support further investigations of melatonin and misoprostol for oral treatments of a dysfunctional intestinal barrier.
Making prospective entrustment decisions: Knowing limits, seeking help and defaulting

Many studies focused on entrustment have not considered prospective entrustment decisions, where clinical competency and entrustment committees determine how much supervision trainees will require in the future for tasks occurring in not completely known contexts. The authors sought to explore factors that influence and determine prospective entrustment decisions made by members of such committees in graduate medical education (GME) and undergraduate medical education (UME).
Global weak solution to the degenerate quantum Navier‐Stokes‐Maxwell equations with damping term

In this paper we investigate the global existence of the finite energy weak solution to the isentropic quantum Navier‐Stokes‐Maxwell equations with density‐dependent viscosity and the damping term in three‐dimensional periodic domain. This model is composed of the isentropic compressible Navier‐Stokes‐Maxwell equation with density‐dependent viscosity, the quantum Bohm potential and a damping term. This model can be used to describe the motion of the particle in the plasma under the electric–magnetic field. The main techniques are the Faedo‐Galerkin method, some imbedding inequalities and some compactness theorems.
Ctenus igatu sp. nov. (Araneae: Ctenidae): a new subterranean spider from Brazil with an analysis of troglomorphic traits

Abstract. In this work we describe Ctenus igatu sp. nov., the first ctenid spider from South America with conspicuous troglomorphic traits, including elongated appendages, reduction of eyes, and body depigmentation. The new species is only known to occur in a unique sandstone cave from the state of Bahia, north-eastern Brazil. The morphology of the genitalia suggests that Ctenus igatu sp. nov. is closely related to Ctenus fasciatus Mello-Leitão, 1943, a facultative subterranean species from caves in the state of São Paulo, south-eastern Brazil. In addition, we compared morphological traits possibly related to the isolation in subterranean habitats, such as ratios between carapace length vs. leg IV length and eye diameters vs. carapace length, of 19 species of Ctenus (17 epigean species, C. fasciatus and the new troglobitic species described herein). Our analysis showed that both C. fasciatus as C. igatu sp. nov. have morphological troglomorphisms, with C. igatu sp. nov. showing marked specializations to subterranean life.
Affective Instability, Depression, and Anxiety Symptoms in a Community Sample of Pregnant and Postpartum Women: A Cross-Sectional Study

Background: Although perinatal women experience an elevated level of affective instability (AI), limited research has been conducted to examine perinatal AI and its relation to depression and anxiety. The current study investigated correlations between AI and depression, between AI and anxiety during the perinatal period, and between current depression and anxiety and the latent factors of the Affective Lability Scale-18 (ALS-18). Methods: 202 Canadian perinatal women participated in this cross-sectional study. The ALS-18 was used to assess AI, while the Depression, Anxiety, and Stress Scale-21 measured depression, anxiety, and stress. Multiple logistic regression was performed to investigate the relationship between AI and depression and anxiety, and multiple linear regression was conducted to examine the association between current depression and anxiety and the three latent factors of ALS-18. Results: The findings revealed a significant association between AI and depression and between AI and anxiety. Current depression and anxiety were correlated with ALS-18 factors of depression/anxiety shift and depression/elation shift, while current depression was linked to ALS-18 factor of anger. Conclusions: The study findings have important implications for early detection and intervention of maternal anxiety and depression. In order to improve maternal mental health, AI should be included in routine perinatal check-ups.