Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the Relationship Between Gastric-Acid Assessment of the Relationship Between Gastric-Acid Suppressants and the Risk of Esophageal Adenocarcinoma: A Suppressants and the Risk of Esophageal Adenocarcinoma: A Systematic Review and Meta-Analysis Systematic Review and Meta-Analysis

Background: Esophageal cancer is a cancerous tumor that develops in the esophagus. It is the 10th most common cancer and has a low survival rate. Esophageal adenocarcinoma (EAC) is increasing in incidence globally. Those with EAC are affected by Barrett’s esophagus metaplasia, which is attributed to genetic predisposition and is more common in men. Studies suggest that gastric acid suppressants, like proton pump inhibitors and histamine-2 receptor antagonists, have anticancer properties and reduce EAC. However, other research has suggested that they are not cancer-protective, and the use of antisecretory drugs is a risk factor for developing EAC. Objective: This systematic review and meta-analysis investigated the properties and risk factors associated with using gastric acid suppressants in patients with EAC. Methods: This meta-analysis used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Information from selected articles, including the lead author’s name, year of publication, study setting, sample size, and gender, was extracted and recorded into an Excel (Microsoft, Red-mond, Washington) form. Statistical data included odds ratio, hazard ratio, and/or risk ratio, with a 95% CI associated with patients with EAC and receiving gastric acid suppressants. Data were compared with individuals not receiving treatment. Publication bias was assessed using Begg’s and Egger’s tests. Statistical analyzes used Stata 14.0 (Stata LLC, College Station, Texas). Results: The initial electronic literature search retrieved 3761 titles/abstracts. Extensive screening selected 20 articles for analysis. Odds ratios associated with EAC in the individuals using gastric acid suppressants were 0.77 (95% CI, 0.49–1.22; P = 0.274) and 0.67 (95% CI, 0.39–1.29; P = 0.240) for proton pump inhibitors and 1.02 (95% CI, 0.44-2.36; P = 0.967) for histamine-2 receptor antagonists. Conclusions: The results found that gastric acid suppressants do not have a protective role in EAC and are not risk factors. Future studies of confounding variables and risk factors are needed to understand what affects EAC development.
Tuning electrolyte-electrode interphases for low-temperature Li-ion batteries

Lithium ion batteries (LIBs) are crucial for modern electronics and electric vehicles (EV). However, their electrochemical performance is facing challenges at low temperatures (e.g ≤ 0 °C) due to reduced Li + kinetics and increased charge-transfer resistance. Given the growing dependence on LIBs for both electronics and EVs, especially in cold environments, it is imperative to address the low-temperature limitations. Thus, improving the low-temperature performance of LIBs is essential for the broader adoption and further advancement of LIBs. To address these challenges, this thesis demonstrates that signiﬁcant improvement of electrochemical performance at low temperatures can be achieved by incorporating Lithium diﬂuoro(oxalato)borate (LiDFOB) as an additive into the baseline electrolyte for the Li(Ni 0.8 Mn 0.1 Co 0.1 )O 2 (NMC811) ∥ Li cell. At a low temperature of -20 °C, the NMC811 ∥ Li cell with the electrolyte containing 4 wt% LiDFOB exhibited an impressive discharge capacity of 125 mAh/g at 0.1C (1C = 2.0 mAh cm − 2 ), representing about 61.6% of the capacity delivered at 20 °C. In contrast, the cell with the baseline electrolyte delivered negligible discharge capacity under the same conditions. This result emphasizes the functions of LiDFOB as an electrolyte additive in enhancing the low-temperature performance of NMC811 ∥ Li cells. This work reveals the kinetics bottleneck of Li + transport during charge/discharge processes at low temperatures can be mitigated by tuning cathode-electrolyte interphase (CEI) through introducing additive into the baseline electrolyte. To substantiate these ﬁndings, Electrochemical Impedance Spectroscopy (EIS) was employed to reveal the signiﬁcant decrease of interface resistance resulting from the addition of LiDFOB into the base electrolyte. X-ray Photoelectron Spectroscopy (XPS) further conﬁrmed the beneﬁts of LiDFOB, indicating that a B-rich, more conductive and thinner CEI formed on the NMC811 cathode induced by LiDFOB. The results indicate that the inclusion of LiDFOB in the baseline electrolyte is advantageous in tuning CEI at the cathode for reducing charge-transfer resistance and enhancing electrochemical performance
The correlation between Arctic sea ice, cloud phase and radiation using A-train satellites

Climate warming has a stronger impact on Arctic climate and sea ice cover (SIC) decline than previously thought. Better understanding and characterizing the relationship between sea ice, clouds and the implications for surface radiation is key to improving our confidence in Arctic climate projections. Here we analyze the relationship between sea ice, cloud phase and surface radiation over the Arctic, defined as north of 60˚N, using active-and passive-sensor satellite observations from three different datasets. We find that all datasets agree on the climatology and seasonal variability of total and liquid-bearing 5 (liquid and mixed-phase) cloud covers. Similarly, our results show a robust relationship between decreased SIC and increased liquid-bearing clouds in the lowest levels (below 3 km) for all seasons but summer, while increased SIC and ice clouds are positively correlated in two of the three datasets. A refined spatial correlation analysis indicates that the relationship between SIC and liquid-bearing clouds can change sign over the Bering, Barent and Laptev seas, likely because of intrusions of warm air from low latitudes during winter and spring. Finally, the increase of liquid clouds resulting from decreasing SIC is associated 10 with enhanced radiative cooling at the surface, which should contribute to dampening future Arctic surface warming as SIC continues to decline.
Parallel lives diagrams for co-evolving communities and their application to schema evolution

In this paper, we address the problem of modeling co-evolving peers in communities over time. Our motivation comes from the area of software and schema evolution; however, we generalize our modeling to cover communities of peer entities in general, evolving over discrete time beats, with quantifiable measurements of behavior. Furthermore, we demonstrate how our modeling can facilitate the visualization, comprehension, and automated analysis of the lives of such communities
Lightweight Veriﬁcation of Hyperproperties (cid:63)

Hyperproperties have been widely used to express system properties like noninterference, observational determinism, conformance, robustness, etc. However, the model checking problem for hyperproper-ties is challenging due to its inherent complexity of verifying properties across sets of traces and suﬀers from scalability issues. Previously, statistical approaches have proven eﬀective in tackling the scalability of model checking for temporal logic. In this work, we have attempted to combine these two concepts to propose a tractable solution to model checking of hyperproperties expressed as HyperLTL on models involving nondeterminism. We have implemented our approach in PLASMA and experimented with a range of case studies to showcase its eﬀectiveness.
Escaping one’s disadvantage? Neighbourhoods, socioeconomic origin and children’s adult life outcomes

This study investigates if neighbourhoods can alter the strong relationship between parental background and children’s adult outcomes. In particular, we examine if neighbourhood effects are heterogeneous in such a way that they are particularly important for children from disadvantaged backgrounds, and if school quality has a mediating effect in this equation. Using register data and individualized neighbourhoods, we follow five full birth cohorts of individuals born from 1983 to 1987. We examine the interaction between social background and neighbourhoods in shaping (i) the risk of children relying on social welfare when they are aged 30, and (ii) the probability of belonging to the highest income decile at age 30–34. Growing up in a resource-rich neighbourhood is associated with better life outcomes. Contrary to what several neighbourhood theories predict, we find that neighbourhood effects operate similarly regardless of social background. Differences in peer composition of schools does not explain these local neighbourhood effects, whereas own school results attenuate neighbourhood effects substantially. Our findings are in contrast to results from the United States studies but are in line with historical Swedish studies; and contribute to further disentangling the various mechanisms through which the neighbourhood operates.
Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Background Nursing narratives are an intriguing feature in the prediction of short-term clinical outcomes. However, it is unclear which nursing narratives significantly impact the prediction of postoperative length of stay (LOS) in deep learning models. Objective Therefore, we applied the Reverse Time Attention (RETAIN) model to predict LOS, entering nursing narratives as the main input. Methods A total of 354 patients who underwent ovarian cancer surgery at the Seoul National University Bundang Hospital from 2014 to 2020 were retrospectively enrolled. Nursing narratives collected within 3 postoperative days were used to predict prolonged LOS (≥10 days). The physician’s assessment was conducted based on a retrospective review of the physician’s note within the same period of the data model used. Results The model performed better than the physician’s assessment (area under the receiver operating curve of 0.81 vs 0.58; P=.02). Nursing narratives entered on the first day were the most influential predictors in prolonged LOS. The likelihood of prolonged LOS increased if the physician had to check the patient often and if the patient received intravenous fluids or intravenous patient-controlled analgesia late. Conclusions The use of the RETAIN model on nursing narratives predicted postoperative LOS effectively for patients who underwent ovarian cancer surgery. These findings suggest that accurate and interpretable deep learning information obtained shortly after surgery may accurately predict prolonged LOS.
Bone mineral density in adults with cystic ﬁbrosis

The obstructive sleep apnoea hypopnoea syndrome (SAHS) has been recognised for over 30 years and an e V ective treatment—namely, nasal continuous positive airway pressure (nCPAP)—has been available for almost 20 years. Research into SAHS has risen exponentially during this time, providing us with greater understanding of the epidemiology, pathophysiology, and morbidity associated with the disease. Despite this research, the most cost e V ective pathway for the diagnosis and management of SAHS has yet to be established and remains the subject of debate.
Livelihood Assessment of Households in Wetland of Manipur: A Micro-Level Study

The Convention on Wetlands of International Importance known as Ramsar Convention was held at Denmark with an objective to protect and conserve wetlands’ ecosystem dependent upon it. The North Eastern Hill Region (hereafter; NEHR) of India is also a home to three Ramsar sites, viz., Deepor Beel in Assam, Loktak lake in Manipur and Rudrasagar in Tripura. It has been reported that people of Manipur are socially, economically, culturally and ecologically linked with the Loktak lake. It has been the source of water for domestic uses, generation of hydro-electric power, irrigation, habitat for several plants used as food, fishing ground for local people, fodder, fuel, medicines, biodiversity, recreation, etc . In the above context, the present study has aimed to assess the livelihood of households in wetland of Manipur and also to identify the determinants of livelihood strategy on the basis of livelihood assets. Primary data were collected from four villages under Moirang block of Bishnupur district. Livelihood assessment framework comprising human, physical, financial and social assets indicators were estimated. The households were then classified based on the estimated indices. Furthermore, multinomial logistic regression model was applied to understand the determinants of livelihood strategy on the basis of different livelihood assets. It was reported that maximum number of the households has moderate human (44.44 per cent), financial (44.44 per cent ) and social assets (39.68 per cent). However, 42.86 per cent of the households were having low physical assets. Overall, 46.03 per cent of the households has moderate livelihood assets, followed by high livelihood assets (30.16%) and 23.81 per cent of the households belong to low livelihood assets. Moreover, the households’ livelihood in Ramsar site Loktak, were characterised based on four different components and it has been found that 100 per cent households engaged themselves in Component-1, 47.62 per cent in Component-2, 42.86 per cent in Component-3 and 9.52 per cent in Component-4. The multinomial logistic regression model estimated further explained that financial assets were the most important asset in adopting the livelihood strategies whereas; social assets could increase the chance of adopting other livelihood strategies apart from fishing in the study area. The study concluded that proper management strategy of the area by the Government of Manipur has to be encouraged along with in depth research, interventions, action plans, proper monitoring and evaluation by different universities like Central Agricultural University (Imphal), Central University (Manipur) and other government and non-governmental organisations. Loktak Lake is a base for ecological and economic security, thus payments for ecosystem services for sustainable water management has to be encouraged and implemented.
Technical Efficiency of Saffron Cultivating Farms in Kashmir Valley: Post National Saffron Mission Implementation

This paper examines saffron growing farmers' performance in the Kashmir Valley's largest saffron producing district Pulwama by estimating the farm level technical efficiency and its determinants. Using cross-sectional data from 390 saffron growing farmers pertaining to the agricultural year 2016, this study employs the Cobb-Douglas stochastic frontier approach with an underlying assumption of the half-normal distribution of the error term. The results confirm wide variations in the sampled farmers' technical efficiency leaving scope to increase production by 41 percent, given the existing resources and technology. An analysis of technical efficiency determinants revealed that farmer experience, education, extension contacts, and family farmworkers are technical efficiency augmenting factors. A higher proportion of saffron land, higher age of the farmer, and access to credit are some of the efficiency retarding factors.
The effects of new skills acquired abroad by return migrants on social relations and quality of life in Cameroon

Astract - This article fills the lack of work on the link between return migration and social cohesion in the country of origin of migration. For the first time, we assess the effect of skills acquired abroad by return migrants on social relations and quality of life in Cameroon using original survey data from the Institute of Demographic Training and Research. The main results, based on a probit model, show that formal and informal competences acquired abroad reduce the likelihood that return migrants will improve social relations and increase the probability that they will improve quality of life in their home country. These results remain robust to the inclusion of return migrants from African and non-democratic countries. Correcting for the endogeneity of skills acquired abroad by two-stage probit model with instrumental variables does not alter these conclusions. Similarly, the correction of selection into emigration by using Heckman’s (1979) method does not alter the results of the probit model. Our results seem to corroborate the hypothesis that migration contributes to the transfer of norms and practices from destination countries to countries of origin.
THEORETICAL REVIEW Sleep and the extraction of hidden regularities: A systematic review and the importance of temporal rules

As part of its role in memory consolidation, sleep has been repeatedly identi ﬁ ed as critical for the extraction of regularities from wake experiences. However, many null results have been published as well, with no clear consensus emerging regarding the conditions that yield this sleep effect. Here, we systematically review the role of sleep in the extraction of hidden regularities, speci ﬁ cally those involving associative relations embedded in newly learned information. We found that the speci ﬁ c behavioral task used in a study had far more impact on whether a sleep effect was discovered than either the category of the cognitive processes targeted, or the particular experimental design employed. One emerging pattern, however, was that the explicit detection of hidden rules is more likely to happen when the rules are of a temporal nature (i.e., event A at time t predicts a later event B) than when they are non-temporal. We discuss this temporal rule sensitivity in reference to the compressed memory replay occurring in the hippocampus during slow-wave-sleep, and compare this effect to what happens when the extraction of regularities depends on prior knowledge and relies on structures other than the hippocampus.
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This study endeavour sought to furnish empirical substantiation pertaining to the determinants influencing pro-environmental behaviour (EPB) among employees, incorporating the mediating influence of green commitment (GC) along with the moderating impacts of green self-efficacy (GSE) and environmental passion (EP). Specifically, the investigation considered three independent variables: green empowerment (GEP), green human capital (GHC) and individual green values (IGV). Employing a quantitative methodology, data were amassed from 205 employees within pharmaceutical organizations in Saudi Arabia. Employing regression analysis, the results indicated a positive correlation between EPB and GHC. Furthermore, GEP and IGV exhibited statistically significant and positive associations with EPB. Correspondingly, in alignment with anticipated outcomes, the study validated the role of GC mediation in the connections between GHC, GEP, IGV, and EPB. Nevertheless, GSE and EP demonstrated insignificance as moderators in the connection between GC and EPB. The present study makes a valuable contribution to the existing body of literature while proffering pragmatic insights for organizations striving to foster environmentally friendly behaviour.
Test of lepton flavor universality using B 0 → D (cid:1) − τ + ν τ decays with hadronic τ channels

The branching fraction B ð B 0 → D (cid:1) − τ þ ν τ Þ is measured relative to that of the normalization mode B 0 → D (cid:1) − π þ π − π þ using hadronic τ þ → π þ π − π þ ð π 0 Þ ¯ ν τ decays in proton-proton collision data at a center-of-mass energy of 13 TeV collected by the LHCb experiment, corresponding to an integrated luminosity of 2 fb − 1 . The measured ratio is B ð B 0 → D (cid:1) − τ þ ν τ Þ = B ð B 0 → D (cid:1) − π þ π − π þ Þ ¼ 1 . 70 (cid:3) 0 . 10 þ 0 . 11 − 0 . 10 , where the first uncertainty is statistical and the second is related to systematic effects. Using established branching fractions for the B 0 → D (cid:1) − π þ π − π þ and B 0 → D (cid:1) − μ þ ν μ modes, the lepton universality test R ð D (cid:1) − Þ ≡ B ð B 0 → D (cid:1) − τ þ ν τ Þ = B ð B 0 → D (cid:1) − μ þ ν μ Þ is calculated, R ð D (cid:1) − Þ ¼ 0 . 247 (cid:3) 0 . 015 (cid:3) 0 . 015 (cid:3) 0 . 012 , where the third uncertainty is due to the uncertainties on the external branching fractions. This result is consistent with the Standard Model prediction and with previous measurements.
Bit-Stealing Made Legal

Initially present only in functional languages such as OCaml and Haskell, Algebraic Data Types (ADTs) have now become pervasive in mainstream languages, providing nice data abstractions and an elegant way to express functions through pattern matching . Unfortunately, ADTs remain seldom used in low-level programming. One reason is that their increased convenience comes at the cost of abstracting away the exact memory layout of values. Even Rust, which tries to optimize data layout, severely limits control over memory representation. In this article, we present a new approach to specify the data layout of rich data types based on a dual view: a source type, providing a high-level description available in the rest of the code, along with a memory type, providing full control over the memory layout. This dual view allows for better reasoning about memory layout, both for correctness, with dedicated validity criteria linking the two views, and for optimizations that manipulate the memory view. We then provide algorithms to compile constructors and destructors, including pattern matching, to their low-level memory representation. We prove our compilation algorithms correct, implement them in a tool called ribbit that compiles to LLVM IR, and show some early experimental results.
, alone and in combinations, on in vitro gas production, fermentation characteristics, dry matter and crude protein ruminal and post-ruminal disappearance of guar meal.

Effects of compound treatments of microwave irradiation (900 W) for 0, 2 and 4 min and exogenous feed enzymes at the application rate of 0, 250 and 500 g/ton on fermentation kinetics and digestibility of guar meal were evaluated by in vitro gas production and 3-step in vitro digestion techniques. Cumulative gas production was recorded at 2, 4, 6, 8, 12, 16, 24, 36, 48, 72 and 96 h of incubation and its kinetic was estimated using model: GP = A[1 - e -(t-L) ] . To investigate ruminal and post ruminal digestion, the in situ and Ankom daisy-II incubation techniques were performed. Although enzyme supplementation levels had no significant effects on gas production, quadratic response to enzyme levels was observed after 12 h post-incubation and continued up to 96 h post-incubation. Microwave irradiation did not show significant impact on cumulative gas production. Interaction of enzyme and microwave irradiation was also not significant. While, there was no significant difference in potential gas production parameter (A) due to the effects of exogenous enzyme levels, microwave irradiation times or their interactions, gas production rate (c) was higher than control for all enzyme treatments. Significant effect of feed enzyme and microwave irradiation interaction was observed on guar dry matter (DM) digestibility. Post-ruminal digestibility of CP in compound treatment of no enzyme and 2 min microwave irradiation has the lowest digestibility (905.4 g/ kg). Moreover, interaction between enzyme and microwave irradiation on guar meal post-ruminal CP digestibility was significant. It was concluded that heat processing of high protein oil seed meals followed by exogenous feed enzyme supplementation might lessen the possible Maillard reaction effects of heat processing. In conclusion, according to present study such order of compound treatments might shift protein digestion from rumen to post-ruminal sites. Consequently, this will improve protein and amino acids profile of followed digesta to small intestine, which is crucial in animal productivity performance.