Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Fundamentals and Capturing Petroleum Fluid Hysteresis Through Experiments

Hysteresis is proven to have a significant role in petroleum fluids and other disciplines for better understanding and evaluation. This shows a need to be explicit about precisely what is meant by the word "hysteresis. " For a long time, the term hysteresis has been used and has attracted the attention of most researchers and investigators. Despite its common usage, hysteresis is used in different disciplines to mean different things. Thus, hysteresis has many definitions depending on the book or paper's area of interest. While various definitions of the term 'hysteresis' have been suggested, this paper will focus on the definition in the oil and gas industry. Hysteretic impacts petroleum fluids either positively or negatively. Therefore, accurately estimating fluid properties curves is vital in evaluating hydrocarbon recovery processes. This paper addresses and discusses a comprehensive review of the hysteresis of different petroleum fluid properties and their applications. This paper reviews many fluid properties of hysteresis and investigates them experimentally. Numerous laboratory studies in hysteresis are present in the literature and critically reviewed and highlighted in this research. This paper aims to review the experimental processes of fluid hysteresis extensively. To satisfy this aim, this paper offers insights into and explanations for experiments that have been used in fluid hysteresis. The outcomes highlight some missing concepts of the existing models and experimental processes for fluid hysteresis. Furthermore, this paper tracks the current development of hysteresis and gives insight into the future trends in the application of hysteresis.
Adherence to the Mediterranean diet and risk of gastric cancer: a systematic review and dose–response meta-analysis

Background Despite growing evidence for the association of adherence to the Mediterranean diet with gastric cancer risk, the results remain inconclusive. The purpose of this systematic review and meta-analysis was to summarize the evidence from previous observational studies and assess the potential association between adherence to the Mediterranean diet and risk of gastric cancer using a dose–response meta-analysis. Methods A comprehensive literature search for all observational studies published up to June 30, 2023 was conducted using the databases of PubMed, ISI Web of Science, EBSCO, China National Knowledge Infrastructure (CNKI) and Wanfang Data. The pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated for the highest versus the lowest categories of Mediterranean diet score in relation to gastric cancer risk, using random-effects models. The Cochran’s Q test and I-squared (I2) statistic were used to detect the sources of heterogeneity among the included studies. Results Overall, 11 studies (five cohort and six case–control studies) with a total number of 1,366,318 participants were included in the final analysis. Combining 14 effect sizes from 11 studies revealed that compared with the lowest category, the highest adherence to the Mediterranean diet was associated with a 29% reduction in the risk of gastric cancer (RR:0.71; 95%CI:0.59–0.84, p < 0.001). In addition, linear dose–response analysis showed that each 1-score increment in Mediterranean diet score was associated with a 5% lower risk of gastric cancer (RR:0.95; 95%CI: 0.94–0.96, p < 0.001). Stratified analysis showed a significant association between adherence to the Mediterranean diet and risk of gastric cancer in case–control studies (RR = 0.44;95%CI:0.32–0.61, p < 0.001), and a marginally significant association in prospective cohort studies (RR = 0.88; 95%CI: 0.79–0.98, p = 0.024), respectively. At the same time, a more significant association between Mediterranean diet and reduced risk of gastric cancer was observed in other countries (RR = 0.28; 95%CI:0.16–0.49, p < 0.001) than in Western countries (RR = 0.75; 95%CI:0.64–0.88, p = 0.001). Conclusion Our results demonstrate that high adherence to the Mediterranean diet is associated with 29% reduced risk of gastric cancer. Further large prospective studies and randomized controlled trials are warranted to confirm our findings.
Alternative substrates based on green compost in Agave victoria-reginae and Agave striata minima

The aim of this work was to study the use of two composts, obtained from olive mills (OM) and green waste (SV), at the CREA Research Centre for Vegetable and Ornamental Crops in Pescia (PT), as components of the growing substrate on plants of Agave victoria-reginae and Agave striata minima. Substrates containing 30% inert matter in each case and increasing doses of compost (0, 30, 50, 70%) were compared; satisfaction at 100% volume, if necessary, was achieved by adding quantities of peat to the mixture. The cultivation density was 6 p m-2 for a total of 98 plants. The cultivation lasted 350 days; the plants never showed any symptoms of water stress. The results were statistically analysed. The chemical and physical properties of the growing media were analysed; the vegetative growth of the plants was determined at 350 days. The results showed that plant growth depends on the percentage of compost. The composts used in the preparation of the substrates were not phytotoxic and allowed the plants to grow disease- and weed-free. Due to their physical and chemical characteristics, composts prepared from municipal park and garden waste and solid fractions of mill waste can be considered as partial substitutes for peat.
A world of opportunity within constraint: Pere Alberch's early EvoDevo

The work of Pere Alberch is crucial to study the early stages of evo-devo. In particular, it illustrates very persuasively why developmental systems have so much to say about the course of evolutionary change. In addition to an important empirical work, he elaborated a stimulating framework of theoretical ideas on biological form, morphological variation, and how developmental processes establish possible evolutionary paths previous to the action of natural selection. In this framework, the study of development and evolution are related through the notion of possible morphologies. In his view, the morphology of organisms shows internal coherence and structure, emergent from complex non linear interactions among parts and with the environment.
An Investigation of Social Factors Contributing to Unrealistic Self-Assessment

The phenomenon of self-inflation, characterized by individuals overestimating their abilities and accomplishments, has been observed throughout history and is influenced by various factors. This article explores the underlying reasons for unrealistic self-evaluation, focusing on the impact of socialization, culture, and social media. The formation of self is shaped by feedback and validation received from social relationships, which can lead individuals to overestimate themselves to cope with feelings of inadequacy. Cultural values and norms also play a role, with individualistic cultures promoting self-enhancement while collectivistic cultures value modesty. Furthermore, social media platforms exacerbate the trend of exaggerated self-perception by fostering competition and the need for social validation. However, it is essential to maintain a balanced approach to self-evaluation, striving for a realistic assessment of one's abilities and limitations. This balanced perspective promotes mental health, well-being, and improved decision-making. By understanding the factors contributing to unrealistic self-evaluation, individuals can develop a healthier and more accurate sense of self-worth, facilitating personal growth and better relationships.
Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models1

Single-equation conditional equilibrium correction models can be used to test for the existence of a level relationship among the variables of interest. The distributions of the respective test statistics are nonstandard under the null hypothesis of no such relationship and critical values need to be obtained with stochastic simulations. We compute more than 95 billion F -statistics and 57 billion t-statistics for a large number of specifications of the Pesaran, Shin, and Smith (2001, Journal of Applied Econometrics 16: 289Ð326) bounds test. Our large-scale simulations enable us to draw smooth density functions and to estimate response surface models that improve upon and substantially extend the set of available critical values for the bounds test. Besides covering the full range of possible sample sizes and lag orders, our approach notably allows for any number of variables in the long-run level relationship by exploiting the diminishing effect on the distributions of adding another variable to the model. The computation of approximate p-values enables a fine-grained statistical inference and allows us to quantify the finite-sample distortions from using asymptotic critical values. We find that the bounds test can be easily oversized by more than 5 percentage points in small samples.
Undergraduate Students’ Perception of Using Extensive Reading Strategy in Vocabulary Mastery

Objective: Reading is one of the most essential skills in learning, especially in English learning. Technological sophistication that is developing rapidly in the 21st century requires students to be literate in order to be able to compete in critical thinking and receive the latest information. The program suitable for the conditions of students in this century is extensive reading, which offers reading for pleasure according to the level of students' abilities. Method: The type of approach used in this research is qualitative. Only fifteen undergraduate students have received an extensive reading course in the fifth semester to obtain optimal results. In collecting data using two instruments, namely questionnaires and interviews. Results: The results shown in this research are that most undergraduate students have positive perceptions after receiving extensive reading course program activities, one of which is the addition of vocabulary that affects their reading motivation. Novelty: The results of this research encourage future researchers to dig up information about the effectiveness of using extensive reading in increasing vocabulary acquisition.
Speech intelligibility prediction with the dynamic compressive gammachirp filterbank and modulation power spectrum

: The speech-based envelope power spectrum model (sEPSM) was developed to predict the speech intelligibility of sounds produced by nonlinear speech enhancement algorithms such as spectral subtraction. It is a linear model with a linear, level-independent gammatone (GT) ﬁlterbank as the front-end. Therefore, it seems diﬃcult to evaluate speech sounds with low and high sound pressure levels (SPLs) consistently because the intelligibility of the speech is dependent on the SPL as well as the signal-to-noise ratio. In this study, the sEPSM was extended with the dynamic compressive gammachirp (dcGC) auditory ﬁlterbank and a ‘‘common’’ normalization factor of the modulation power spectrum component to improve the predictability of the model. For evaluating the proposed model, we performed subjective experiments on the intelligibility of speech sounds enhanced by spectral subtraction and a Wiener ﬁlter algorithm. We compared the subjective speech intelligibility scores with the objective scores predicted by the proposed dcGC-sEPSM, original GT-sEPSM, and other well-known conventional methods such as the short-time objective intelligibility measure (STOI), coherence speech intelligibility index (CSII), and hearing aid speech perception index (HASPI). The result shows that the proposed dcGC-sEPSM predicted the subjective results better did than the other methods.
The Cxcr2+ subset of the S100a8+ gastric granylocytic myeloid-derived suppressor cell population (G-MDSC) regulates gastric pathology

Introduction Gastric myeloid-derived suppressor cells (MDSCs) are a prominent population that expands during gastric pre-neoplastic and neoplastic development in humans and mice. However, the heterogeneity of this population has circumvented the ability to study these cells or understand their functions. Aside from Schlafen-4+ (Slfn-4+) MDSCs in mouse studies, which constitute a subset of this population, limitations exist in characterizing the heterogeneity of the gastric CD11b+Ly6G+ population and targeting its different subsets. Here we identify S100a8 as a pan-specific marker for this population and utilize it to study the role of the S100a8+Cxcr2+ subset. Methods We profiled gastric CD11b+Ly6G+ versus CD11b+Ly6G- myeloid cells by transcriptomic and single-cell RNA sequencing. We identified S100a8 as a pan-specific marker of the gastric granulocytic MDSC (G-MDSC) population, and generated S100a8CreCxcr2flox/flox to study the effects of Cxcr2 knockdown. Results Following 6-months of Helicobacter felis infection, gastric CD11b+Ly6G+ G-MDSCs were highly enriched for the expression of S100a8, S100a9, Slfn4, Cxcr2, Irg1, Il1f9, Hcar2, Retnlg, Wfdc21, Trem1, Csf3R, Nlrp3, and Il1b. The expression of these distinct genes following 6mo H. felis infection marked heterogeneous subpopulations, but they all represented a subset of S100a8+ cells. S100a8 was identified as a pan-marker for CD11b+Ly6G+ cells arising in chronic inflammation, but not neutrophils recruited during acute gut infection. 6mo Helicobacter felis-infected S100a8CreCxcr2flox/flox mice exhibited worsened gastric metaplastic pathology than Cxcr2flox/flox mice, which was associated with dysregulated lipid metabolism and peroxidation. Conclusion S100a8 is a pan-specific marker that can be used to target gastric G-MDSC subpopulations, of which the Cxcr2+ subset regulates gastric immunopathology and associates with the regulation of lipid peroxidation.
Italo-Mycenaean Pottery: The Archaeological and Archaeometric Dimensions

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Growth Performance and Fecal Microbiota of Dairy Calves Supplemented with Autochthonous Lactic Acid Bacteria as Probiotics in Mexican Western Family Dairy Farming

Simple Summary Lactobacillus is one of the bacterial genera frequently used as probiotics. Although probiotic effects are strain dependent, several Lactobacillus strains have been used to improve the growth rate in dairy calves, and the health or productivity parameters of dairy cows, mainly through the modulation of rumen microbiota. This study explains the effects observed on the growth parameters and fecal microbiota of dairy calves supplemented with three different Lactobacillus-based probiotic formulations supplied between days 5 and 19 after birth. Abstract Probiotic supplementation in dairy cattle has achieved several beneficial effects (improved growth rate, immune response, and adequate ruminal microbiota). This study assessed the effects on the growth parameters and gut microbiota of newborn dairy calves supplemented with two Lactobacillus-based probiotics, individually (6BZ or 6BY) or their combination (6BZ + 6BY), administrated with the same concentration (1 × 109 CFU/kg weight) at three times, between days 5 and 19 after birth. The control group consisted of probiotic-unsupplemented calves. Growth parameters were recorded weekly until eight weeks and at the calves’ ages of three, four, and five months. Fecal microbiota was described by high-throughput sequencing and bioinformatics. Although no significant effects were observed regarding daily weight and height gain among probiotic-supplemented and non-supplemented calves, correlation analysis showed that growth rate was maintained until month 5 through probiotic supplementation, mainly when the two-strain probiotics were supplied. Modulation effects on microbiota were observed in probiotic-supplemented calves, improving the Bacteroidota: Firmicutes and the Proteobacteria ratios. Functional prediction by PICRUSt also showed an increment in several pathways when the two-strain probiotic was supplemented. Therefore, using the three-administration scheme, the two-strain probiotic improved the growth rate and gut microbiota profile in newborn dairy calves. However, positive effects could be reached by applying more administrations of the probiotic during the first 20 days of a calf’s life.
Soil Compression Index Prediction Model for Fine Grained Soils

Compressibility of a soil mass is its susceptibility to decrease in volume under pressure and is indicated by soil characteristics like coefficient of compressibility, compression index and coefficient of consolidation. However, the determination of soil compressibility characteristics in the labs is a cumbersome and time consuming process, especially in the case of fine grained soils. In the present study, an attempt has been made to estimate compression index as a function of soil index properties. Soil samples were collected from different Indian hydropower projects. The collected samples were subjected to laboratory investigations for the determination of geotechnical parameters namely liquid limits, plastic limits and compression indices. Based on experimental results, correlations between the soil index properties (liquid limit & plasticity index) and compression index were evaluated. An empirical model was developed to estimate the compression index as a function of liquid limit and plasticity index. The model results were compared with the actual compression index values, as determined by laboratory tests, and were found to be in good agreement. The compression index values for the collected samples were also determined using the available models in literature, and the results indicate that the present model can predict the soil compressibility more accurately.
Sign language ideologies and deaf interpreters in Canada

This article reports preliminary survey and interview data from a 3-year study regarding language ideologies related to deaf interpreters (DIs). DIs are professional sign language interpreters who are deaf and who may work as part of a team with hearing sign language interpreters. Survey data provide a snapshot of current DI demographics and reflect that most DIs are Canadian-born and from a grandparent generation. This suggests that a precarious national sign language ecosystem currently exists in Canada. Data from an interview with one DI participant reveal how this participant, by virtue of his education in Canadian deaf schools and professional background, was positioned as a peer of other Canadian deaf professionals. Simultaneously, due to his immigrant background and accompanying lived experiences of language and multilayered repertoire, he was positioned in solidarity with deaf clients who were newcomers to Canada and multiply marginalised. This dual positioning and status enabled insights regarding dominant language ideologies among DIs and other deaf professionals.
On the Added Modal Coefficients of a Rotating Submerged Cylinder Induced by a Whirling Motion—Part 1: Experimental Investigation

The operation of submerged rotating machines, such as marine current or tidal turbines, can present deleterious fluid phenomena that may provoke extreme structural vibrations. To predict their dynamic responses, it is necessary to know the added modal coefficients of their runners under a whirling motion. For that purpose, a bespoke test rig was designed to investigate the added modal coefficients of a submerged cylinder, which could rotate at different speeds both in air and completely submerged in water inside a cylindrical tank. First, the modes of vibration were experimentally measured by exciting the cylinder with a push-release method during steady tests or with ramps in rotating speed during transient tests. The calculated natural frequencies and damping ratios were then used in a mathematical model of the dynamic system to calculate the added modal coefficients. During steady tests, the natural frequencies and damping ratios of the whirling modes changed significantly as a function of the rotating speed. Additionally, a whirling mode was observed to change its direction at a given rotating speed. During transient tests, rotating speed ramps with high accelerations were found to present lower lock-in amplitude and frequencies. Moreover, fast downward ramps presented lock-in amplitudes four times higher than fast upward ramps. Consequently, the added modal coefficients changed accordingly as a function of the rotating speed, ramp acceleration, and ramp direction. For these reasons, it was confirmed that the modal responses of submerged rotating bodies must be calculated for each operational rotating speed, even at low velocities, and for each transient event in order to precisely predict their vibration behaviors.
Forecasting monthly rainfall using autoregressive integrated moving average model (ARIMA) and artificial neural network (ANN) model: A case study of Junagadh, Gujarat, India

The onset, withdrawal and quantity of rainfall greatly influence the agricultural yield, economy, water resources, power generation and ecosystem. Time series modelling has been extensively used in stochastic hydrology for predicting various hydrological processes. The principles of stochastic processes have been increasingly and successfully applied in the past three decades to model many of the hydrological processes which are stochastic in nature. Time lagged models extract maximum possible information from the available record for forecasting. Artificial neural network has been found to be effective in modelling hydrological processes which are stochastic in nature. The ARIMA model was used to simulate and forecast rainfall using its linear approach and the performance of the model was compared with ANN. The computational approach of ANN is inspired from nervous system of living beings and the neurons possess the parallel distribution processing nature. ANN has proven to be a reliable tool for modelling compared to conventional methods like ARIMA and therefore ANN has been used in this study to estimate rainfall. In this study, rainfall estimation of Junagadh has been attempted using monthly rainfall training data of 32 years (1980-2011) and testing data of 5 years (2012-2016). A number of ANN model structures were tested, and the appropriate ANN model was selected based on its performance measures like root mean square error and correlation coefficient. The correlation coefficient Seasonal ARIMA (1,0,0)(3,1,1)12 and ANN back-propagation model (5-12-1) on the testing data was found to be 0.75 and 0.79 respectively. Seasonal ARIMA (1,0,0)(3,1,1)12 and ANN back-propagation model (5-12-1) were used for forecasting rainfall of 5 years (2017-2021).
Circadian, hormonal, and sleep rhythms: effects on cancer progression implications for treatment

Circadian, hormonal, and sleep rhythm disruptions are commonly experienced concerns among cancer patients throughout the cancer care continuum. This review aims to summarize the existing literature on circadian, hormonal, and sleep rhythms in the oncological population, focusing on circadian disruption and physiological and psychological abnormalities, disease progression, and chronomodulated treatment approaches. The findings demonstrate that subjectively and objectively measured circadian rhythm disruption is associated with adverse mental health and disease outcomes in patients with cancer. Chronomodulated chemotherapy, light therapy, cognitive behavioral therapy for insomnia, and physical activity have shown evidence of effectiveness in improving sleep, and occasionally, disease outcomes.