Miracle-dz/UniFAR-FTUs huggingface dataset:
From a cosmopolitan to a fascist land: Adriatic irredentism in motion

This article explores Adriatic irredentism, a complex political, cultural, and social movement, by specifically analyzing the unique role it played in the legitimization of Italian territorial claims over “language frontiers” such as Trieste and its hinterland. Through a close reading of first-hand sources, it examines how Italian irredentist intellectuals, public press, and associations purposefully utilized anti-Slav and anti-German arguments to shape public perception of both the Italian nation as well as Trieste’s Italian identity or “Italianità. ” Although recent historiographical interpretations have emphasized continuities in local understandings of “Italianità,” this article examines the discontinuities in the debate over its identity. It suggests that although Italian identity was first conceived as an expression of cultural and linguistic autonomy within the broader intellectual framework of Adriatic multi-nationalism, this idea gradually vanished amidst the structural crisis triggered by the Ausgleich or Compromise of 1867 and then inexorably faded on the eve of the Great War. Thus, notions of Italian national identity took an exclusionary and sometimes xenophobic meaning that was publicly used by a wide set of political actors to justify the territorial reincorporation of the “unredeemed” land within the borders of the new Italian state. The fascist regime, especially, utilized Italianness to further its aggressive and chauvinist agenda toward the Adriatic borderland. Consequently, Italian language and culture became instruments as well as symbols of repression and imperialism that were used to fulfill the regime’s ambitions of “fascistization” of the Slavic population living in the region.
Individualized Pharmacological Approach to Obesity Management based on Obesity Phenotypes: A Randomized Clinical Trial

Introduction: Obesity prevalence continues to increase worldwide[7] and, in the United States, 69% of adults are overweight or obese[8]. Despite advances in understanding of aspects of obesity pathophysiology, weight loss with current treatments including diet, exercise, medications, endoscopy and surgery is highly variable [9]. However, there are usually great responders to each therapy, specifically “responders” to medications can lose as much weight and with less side effects than bariatric surgery. These individuals – the responders – can benefit from significant weight loss (>15% total body weight loss) which is known to reduce all-cause cardiovascular mortality and morbidity. With the current approach with pharmacotherapy, less than 35% of patients will lose more than 10% of body weight. Additionally, the high variability in weight loss response has resulted in a poor market penetrance by new medications, devices and surgery. Clearly the one-treatment-fits all approach is not working and obesity management beyond diet and behavioral therapy continues to be a hit-or-miss intervention. One approach has been advocated where physicians select pharmacotherapy based on potential side effect and patient comorbidities [10], instead of choosing the right drug for the right patient based on its pathophysiology. To achieve the goal of individualizing treatment for obesity, it is essential to identify the best responders to each intervention, and hence maximize their weight loss. Recently, we acquired preliminary data to identify predictors of weight loss using gastrointestinal and behavioral traits (phenotypes) [3] . Obesity can be sub-classified based on specific phenotypes in satiation (21%), gastric capacity (15%), behavioral (13%), gastric sensorimotor (11%) factors and others (40%)[3]. This obesity sub-classification may stratify patients for weight loss pharmacotherapy or bariatric endoscopy [3, 11-13]. Using this classification, the effect on weight loss of Phentermine-topiramate ER [3], and exenatide 5µg [11] can be enhanced, and the marked effect of Liraglutide 3mg on gastric emptying
Evaluation of garden pea ( Pisum sativum L.) varieties for yield and quality attributes under Malwa region of Madhya Pradesh

An experiment was conducted to see theevaluation of garden pea ( Pisum sativum L.) varieties for yield and quality attributes under Malwa region of Madhya Pradesh. Result revealed that in the present investigation, the genotypes differed significantly with respect to different yield and quality parameters. A comparison of pea varieties indicated that they differed significantly for yield parameters viz . , number of pods per plant, pod length, number of seed per pod, pods weight, pod yield per plant as well as green pod yield per hectare (q/ha) and shelling percentage. Variety Kashi Shakti was recorded highest number of pods per plant (12.59), pod length (10.50 cm), highest number of seeds per pod (9.53), highest average pod weight (4.74 g), highest pod yield per plant (59.68 g/plant), maximum pod yield per hectare (198.92q/ha), highest proportion of shelling (58.80%). Quality parameters viz . , TSS and protein content of green pea.The variety Palam Priya has noticed the highest TSS (17.87 o Brix) and highest protein content (16.90g/100g) was observed in variety Kashi Shakti.
X-Ray Spectral Variability Signatures of Flares in BL Lacertae Objects

We present a detailed parameter study of the time-dependent electron injection and kinematics and the self-consistent radiation transport in jets of intermediate- and low-frequency peaked BL Lac objects. Using a time-dependent, combined synchrotron self-Compton (SSC) and external Compton jet model, we study the influence of variations of several essential model parameters, such as the electron injection compactness, the relative contribution of synchrotron to external soft photons to the soft photon compactness, the electron injection spectral index, and the details of the time profiles of the electron injection episodes giving rise to flaring activity. In the analysis of our results, we focus on the expected X-ray spectral variability signatures in a region of parameter space particularly well suited to reproduce the broadband spectral energy distributions of intermediate- and low-frequency peaked BL Lac objects. We demonstrate that SSC- and external Compton-dominated models for the γ-ray emission from blazars are producing significantly different signatures in the X-ray variability, in particular in the soft X-ray light curves and the spectral hysteresis at soft X-ray energies, which can be used as a powerful diagnostic to unveil the nature of the high-energy emission from BL Lac objects.
Filamentous Fungi as Bioremediation Agents of Industrial Effluents: A Systematic Review

The industrial sector plays a significant role in global economic growth. However, it also produces polluting effluents that must be treated to prevent environmental damage and ensure the quality of life for future generations is not compromised. Various physical, chemical, and biological methods have been employed to treat industrial effluents. Filamentous fungi, in particular, have garnered attention as effective bioremediation agents due to their ability to produce enzymes capable of degrading recalcitrant compounds, and adsorb different pollutant molecules. The novelty of the work reported herein lies in its comprehensive assessment of the research surrounding the use of white- and brown-rot fungi for removing phenolic compounds from industrial effluents. This study employs a systematic review coupled with scientometric analysis to provide insights into the evolution of this technology over time. It scrutinizes geographical distribution, identifies research gaps and trends, and highlights the most studied fungal species and their applications. A systematic review of 464 publications from 1945 to 2023 assessed the use of these fungi in removing phenolic compounds from industrial effluents. White-rot fungi were predominant (96.3%), notably Phanerochaete chrysosporium, Pleurotus ostreatus, Trametes versicolor, and Lentinula edodes. The cultures employing free cells (64.15%) stand out over those using immobilized cells, just like cultures with isolated fungi regarding systems with microbial consortia. Geographically, Italy, Spain, Greece, India, and Brazil emerged as the most prominent countries in publications related to this area during the evaluated period.
Prognostic Significance of KIF-12 Functioning as a Tumour Suppressor in Papillary Thyroid Carcinoma

Objective: To explore the potential value of a novel marker, KIF-12, in the progression and prognosis of papillary thyroid carcinoma (PTC) through integrative bioinformatics analysis, and clinical sample validation of the prognostic value of KIF-12. Materials and Methods: We extracted the clinicopathological data of 502 PTC patients from The Cancer Genome Atlas-Thyroid Cancer (TCGA-THCA) dataset to identify reliable differentially expressed genes (DEGs) between high and low KIF12 expression groups. Functional enrichment analysis was performed on upregulated DEGs. Gene set enrichment analysis (GESA) was performed to identify the biological pathways. We further applied Cox analysis to determine independent risk factors associated with the PTC progression-free interval (PFI), and a nomogram was established to predict disease outcome. Finally, the prognostic value of KIF12 was validated by means of clinical samples from PTC patients with and without lateral lymph node metastasis. Results: On the basis of the TCGA-THCA database, we found that low KIF-12 expression was significantly related to a higher TNM stage (p<0.05), BRAF mutation status (p = 0.019), and extrathyroidal extension (p<0.001). KIF-12 was an independent prognostic factor of PTC (OR=0.319, 95% CI=0.130-0.784, P=0.013). The prognostic value of KIF12 was also successfully validated in clinical samples from twenty-nine PTC patients with lateral lymph node metastasis by comparison with twenty-two PTC patients without lymph node metastasis (P = 0.004). Conclusions: We report that KIF-12 has a tumor suppressive function in PTC and may be a useful prognostic tool to predict patient outcomes.
Mixing Estimates for Estuaries

The well-known Knudsen relations and the total exchange flow (TEF) analysis framework provide quantifications of exchange flow across an open boundary to the adjacent ocean in terms of bulk values (Knudsen theory: inflow and outflow volume or salinity) or with resolution in salinity space (TEF: profiles of volume and salt flux in salinity coordinates). In the present study, these theories are extended toward mixing of salinity, defined as the decay of salinity variance due to turbulent mixing. In addition to the advective fluxes, diffusive fluxes across the boundary are also considered now. These new Knudsen and TEF relations for mixing are derived by applying Gauss’s theorem to the salinity square and salinity variance equations. As a result of the analysis, four different Knudsen relations for the mixing in estuaries are derived. The first one is exact and considers nonperiodicity as well as nonconstancy of the inflow and outflow salinities. The other three formulations are approximate only, in the sense that either nonperiodicity or nonconstancy or both are relaxed. The simplest of those formulations has recently been derived by MacCready et al. and estimates the estuarine mixing as the product of inflow salinity, outflow salinity, and time-averaged river runoff. These four mixing estimates are systematically assessed by means of a number of idealized estuarine test cases. For periodic tidal flow, the simplest estimate still predicts the effective (physical plus numerical) mixing within an error of about 10%.
Critical Time of Weed Competition and Evaluation of Weed Management Techniques on Turmeric ( Curcuma Longa ) at Tepi, South West Ethiopia

Turmeric (Curcuma longa) is one of the leading exported spice crop in Ethiopia. Weeds are a major constraint in Turmeric production. Understanding the critical period for weed competition and weed management techniques can be a tool for effective weed control and reducing the impacts of weeds. The experiment was conducted during 2012 to 2013 using randomized complete block design with three replications to determine the critical period and evaluation of weed management techniques. Timing of weed removal was based on the number of days after Turmeric planted. To determine critical time of weed competition, weeds allowed competing with Turmeric for 15, 30, 45, and 60 days after planting. In addition, season long weedy check and weed-free check were included as control. For weed management study five treatments were applied which contain both hand weeding and mulching at different periods. A total of 27 weed species were identified. The most important families according to the number of represented species were Poaceae (5 species), Compositae (3 species) and Amaranthaceae (3 species). There was a highly significant difference (p<0.1) between treatments. When weeding was totally ignored yield loss amounted to 93.886% in 2012 and 90.55% in 2013 croping season. Number of tiller, number of leaf per tiller, plant height, leaf width and length, rhizome width and length, number of fingers per rhizome and yield were affected significantly at p<0.001. Maximum yield loss were obtained when weeding applied at 60 days after planting which is 51.63% in 2012 and 34.69% in 2013, whereas, minimum yield loss were obtained when wedding applied at 15, 30 and 45 days after planting which was 11.63%, 21.467% and 27.119% in 2012, whereas 1.999%, 7.656% and 8.0926% in 2013 respectively. The result reviled that yield advantage of 45.264%, 38.408 and 33.63 in 2012 and 33.36%, 29.27% and 28.94% obtained when the first hand weeding was applied at 15, 30 and 45 days after planting when compared with the treatment where the first hand weeding was applied at 60 days after planting respectively. This result clearly indicates that sever crop weed competition has taken place between 30 and 60 days. Hence, it would be wise to apply the first hand weeding between 30 and 45 days after planting or weeding at 30, 60 plus mulching plus one hand weeding as needed were good agronomic practice help to avoid the period where sever competition takes place for maximum yield of the crop.
Dynamic Partitioning in Di erent

In this paper we present a detailed analysis of dynamic partitioning in diierent distributed-memory parallel environments based on experimental and analytical methods. We develop an experimental testbed for the IBM SP2 and a network of workstations, and we apply a general analytic model of dynamic partitioning. This experimental and analytical framework is then used to explore a number of fundamental performance issues and tradeoos concerning dynamic partitioning in diierent distributed-memory computing environments. Our results demonstrate and quantify how the performance beneets of dynamic partitioning are heavily dependent upon several system variables, including workload characteristics, system architecture, and system load.
Regional-Scale Analysis of the Effect of Managed Aquifer Recharge on Saltwater Intrusion in Irrigated Coastal Aquifers: Long-Term Groundwater Observations and Model Simulations in NE Tunisia

ABSTRACT Bachtouli, S. and Comte, J.-C. , 2019. Regional-scale analysis of the effect of managed aquifer recharge on saltwater intrusion in irrigated coastal aquifers: Long-term groundwater observations and model simulations in NE Tunisia. Journal of Coastal Research, 35(1), 91–109. Coconut Creek (Florida), ISSN 0749-0208. In overexploited coastal aquifers threatened or affected by saline intrusion, managed aquifer recharge (MAR) is increasingly applied in the aim of maintaining or recovering freshwater quantity and quality. The long-term regionalscale effectiveness of MAR, however, lacks field examples. The Korba coastal aquifer (Tunisia) has been increasingly overexploited since the 1960s and intensively studied over the last few decades. Groundwater abstraction has resulted in a decline of groundwater levels and a dramatic increase in salinity through both lateral seawater intrusion and shallow salinization from irrigation. MAR strategies, including freshwater injection wells and sewage-water infiltration basins, have been progressively implemented since 1990. Using 50 years of groundwater head and salinity records, a regional three-dimensional numerical groundwater model is calibrated to study the spatiotemporal dynamics of groundwater salinization including the past and future impact of the MAR operations. Results suggest that lateral seawater intrusion from the coast and shallow infiltration of evapoconcentrated saline irrigation water are the two interlinked dominant regional processes of groundwater salinization, equivalent in magnitude. In accordance with the groundwater observations, simulated historical MAR operations are shown to have contributed to slowdown and stabilized the regional salinization, which contrasts with the steady rise that is obtained in the hypothetical absence of MAR. The future MAR simulation scenarios suggest that spatial management of irrigation supplies and injection points from dam freshwater has a potential for further reducing the salinization of shallow groundwater and potentially reversing the inland progression of the seawater front. Further works should look at reconciling modelling recommendations with management practice options.
Drosophila Nemo Promotes Eye Speciﬁcation Directed by the Retinal Determination Gene Network

Drosophila nemo ( nmo ) is the founding member of the Nemo-like kinase (Nlk) family of serine–threonine kinases. Previous work has characterized nmo ’s role in planar cell polarity during ommatidial patterning. Here we examine an earlier role for nmo in eye formation through interactions with the retinal determination gene network (RDGN). nmo is dynamically expressed in second and third instar eye imaginal discs, suggesting additional roles in patterning of the eyes, ocelli, and antennae. We utilized genetic approaches to investigate Nmo’s role in determining eye fate. nmo genetically interacts with the retinal determination factors Eyeless (Ey), Eyes Absent (Eya), and Dachshund (Dac). Loss of nmo rescues ey and eya mutant phenotypes, and heterozygosity for eya modiﬁes the nmo eye phenotype. Reducing nmo also rescues small-eyedefectsinducedbymisexpressionof ey and eya inearlyeyedevelopment. nmo canpotentiateRDGN-mediated eye formation in ectopic eye induction assays. Moreover, elevated Nmo alone can respecify presumptive head cells to an eye fate by inducing ectopic expression of dac and eya . Together, our genetic analyses reveal that nmo promotes normal and ectopic eye development directed by the RDGN.
Analysis and Assessment of Yield Ranking Models in Triticale (xTriticosecale Wittm.) in Contrasting Environmental Conditions

The analysis and evaluation of yield is an important stage of the breeding process in cereals. There are various methods for grouping and ranking of the tested genotypes by their yield, which allows for a correct interpretation of the interaction of the environment with the genotype. Triticale as a product of wide hybridization is characterized by certain features, which requires the applicable models for yield evaluation in other cereals to be analyzed in this crop. For this purpose five yield ranking models were assessed in 16 triticale varieties for a three-year period. The three monitored periods were characterized by contrasting agro-climatic conditions of the environment. With the highest efficiency was the model using average standard value formed by values of check varieties in the experiment. With a good performance for yield evaluation are also models in which the yield is adjusted by the variation caused by different environmental conditions – heritability adjusted (HA) model and Hi-model. In spite of this fact, HA-grouping is very similar to the grouping of the varieties by their absolute yield. This is related to the absence of many locations of the study, regardless of the contrasting agro-climatic conditions. On the other hand, the Hi-model enables interpretation of yield and grouping of yield reaction in different varieties without multilocation trials. Despite some of their disadvantages, each of the used models could be applied to the analysis of the yield in periods of different conditions, depending on the specific purpose of the breeding program.
Hyperintensionality and Overfitting

A hyperintensional epistemic logic would take the contents which can be known or believed as more fine-grained than sets of possible worlds. I consider one objection to the idea: Williamson’s Objection from Overfitting. I propose a hyperintensional account of propositions as sets of worlds enriched with topics: what those propositions, and so the attitudes having them as contents, are about. I show that the account captures the conditions under which sentences express the same content; that it can be pervasively applied in formal and mainstream epistemology; and that it is left unscathed by the objection
Efficacy and safety of molidustat for the anemia of chronic kidney disease: A systematic review and meta-analysis of randomized controlled trials

Objective: Anemia is a prevalent complication in chronic kidney disease (CKD) patients, necessitating effective management for improved clinical outcomes. This systematic review and meta-analysis aim to evaluate the efficacy and safety of molidustat for iron-deficient anemia in CKD patients. Methods: A comprehensive search of Ovid MEDLINE, Web of Science, PubMed, and Cochrane CENTRAL was conducted. The primary efficacy outcomes included changes in hemoglobin (Hb) levels during follow-up and at week 16. Inverse variance random effects models were used for main analysis. The overall risk of bias (RoB) was assessed using the Cochrane RoB2 tool. Results: Six randomized controlled trials (RCTs) involving 999 patients were included. The meta-analysis for Hb change during follow-up revealed a mean difference (MD) of 0.09 (95% CI, -0.49 to 0.67), p=0.071, with an I² of 81% whereas Hb change at week 16 showed an MD of 0.12 (95% CI, -0.40 to 0.64), p=0.65 with an I² of 85%. Notably, changes in hepcidin levels during follow-up (MD -16.55, 95% CI -29.54 to -3.56) favored molidustat but not changes in total iron binding capacity at week 16 (MD 2.89, 95% CI 1.74 to 4.04). However, the impact of molidustat on transferrin saturation, iron levels, and ferritin levels showed comparable results. Regarding safety outcomes, no significant differences were observed in treatment emergent adverse events (TEAE) leading to death, patients with ≥1 major adverse cardiovascular event (MACE), hyperkalemia, any TEAE, and any serious TEAE. The risk of CKD worsening was increased with molidustat (MD 1.79, 95% CI 1.03 to 3.10). Subgroup analyses for primary outcomes were consistent with main analyses. RoB for Hb change was found as high/some concerns in 5/1 RCTs, respectively. Conclusion: Molidustat exhibited noninferiority to ESAs in managing anemia in CKD patients. However, a concerning finding was the increased risk of CKD worsening associated with molidustat use. Well-designed RCTs are essential to enhance our understanding of molidustat's in CKD-related anemia.