Miracle-dz/UniFAR-FTUs huggingface dataset:
Trends in the digitalization impact on the economic security of the region

This work aims at studying digitalization trends affecting the economic security of the region. The object of the study is a region considered from the perspective of economic security. The subject is digitalization trends that have a multidirectional impact on the economic security of the region. The main digitalization trends affecting the economic security of the region are identified: the development of the digital economy, including digital business models; increasing the importance of intellectual capital and innovation potential; distribution of network forms of interaction among entities; formation of information threats to economic security; development of digital tools for managing the economic security of the region. During the study, the following effects for the economic security of the region were discovered: the emergence of new economic structures and development trends; the formation of threats caused by the development of digital technologies; the emergence of new opportunities and benefits from digitalization; the presence of threats that impede the development of digitalization at the regional level.
The new political economy of public sector wage-setting in Europe: Introduction to the special issue

This special issue (SI) brings the industrial relations scholarship on the public sector into dialogue with the comparative political economy (CPE) literature on growth models/regimes. While the former has paid great attention to the public sector, in CPE the public sector has been analysed less, and mostly as subaltern to the export-sector’s actors, interests and institutions. We posit that the public sector matters for CPE in its own right for three reasons. First, the state remains today the single largest employer in virtually every European economy, providing incomes to a large segment of the middle class. Second, public employers’ wage bill – one of the largest items of governments’ current expenditures – is funded by the taxpayers. Hence, public sector wage policy is fiscal policy, ultimately pursued by public/political employers. Third, public employers are simultaneously public managers and political sovereigns acting in the shadow of hierarchy. Case-study contributions to the SI detail how these insights matter within different European growth regimes: (1) the Mediterranean demand-led growth regime (France, Italy, Spain and Portugal), (2) the German export-led growth regime, (3) the Nordic balanced growth regime (Denmark and Sweden) and (4) the FDI-led Eastern European growth regime (Czechia and Slovakia).
A New and Effective Procedure for Advanced Oral Cancer Therapy: The Potential of a Cancer Stem Cell Assay in Guiding Chemotherapy

Introduction Ineffective anticancer therapy can result in unnecessary toxicity and the development of resistant clones. Many types of solid tumors, including head and neck squamous cell carcinoma, have been found to contain a small population of cancer stem cells (CSCs) that contribute to tumor propagation, maintenance, and treatment resistance. Materials and methods Selectively enriched CSCs from primary cancer cell cultures can be used in a chemosensitivity assay for a functional test (ChemoID) that uses patients’ live tumor cells to indicate which chemotherapy agent (or “combinations”) will kill not only the bulk of tumor cells but also the CSCs that are known to cause cancer to recur. This study aimed to show the potential of testing the sensitivity of CSCs enriched from oral cancer patients’ biopsies to conventional chemotherapies. A case series of eleven patients affected by advanced oral squamous cell carcinoma (OSCC) have been included in this study. We compared the results of the CSC assay among all the patients and found that there was variability in the chemotherapy response predicted by the assay. Results Variability in chemotherapy response was found by the CSC assay in advanced OSCC patients suggesting more precise and personalized therapies to the Oncologist. Conclusions Variability in chemosensitivity for OSCC warrants the need to investigate further the use of the assay in larger cohorts to gain a broader understanding of the utility of the clinical test.
Asymptotic variance expressions for closed-loop identi " cation

Asymptotic variance expressions are analyzed for models that are identi"ed on the basis of closed-loop data. The considered methods comprise the classical &direct'method, as well as the more recently developed indirect methods, employing coprime factorized models, dual Youla/Kucera parametrizations and the two-stage approach. The variance expressions are compared with the open-loop situation, and evaluated in terms of their relevance for subsequent model-based control design. 2001 Elsevier Science Ltd. All rights reserved.
An Assessment of Total Polyphenolic Content and Antioxidant Potential of Mauby Bark Extracts (Colubrina arborescens) Brewed for Different Lengths of Time

Mauby bark (Colubrina arborescens) is commonly used to make a beverage,“Mauby”, in the Caribbean and is believed to possess antiglycemic, antilipidemic, and anticarcinogenic properties. However, limited studies have been conducted to substantiate the compounds present that may confer these benefits. Therefore, the objectives of this research were to quantify the total polyphenolic content and evaluate the antioxidant capacity of Mauby bark extracts brewed in water at 30, 45, and 60 minutes. In the extracts, the Total Flavonoid Content (TFC) ranged from 1.93 - 3.17 mg CE/mL and the Total Phenolic Content (TPC) ranged from 2.10 mg ± 0.11 GAE/mL (45 minutes) - 2.36 mg ± 0.067 GAE/mL (30 minutes). Moreover, their antioxidant activity was assessed using the 2,2 Diphenyl 1-Picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Power (FRAP) assays. The DPPH scavenging activity observed from Mauby extracts ranged from 75% ± 4.02 (30 minutes) to 83% ± 0.66 (60 minutes) and the FRAP values ranged from 6.29± 0.84 (30 minutes) to 6.90 ± 1.54 mM FeSO4 equivalents/ 0.2 mL Mauby extract (45 minutes). Although, polyphenolic content at 30 minutes was greater than 60 minutes of brewing for TFC (p < 0.001) and TPC (p = 0.002), the scavenging activity was greater at 60 minutes than 30 minutes (p = 0.014) while antioxidant power was not affected by brewing time (p = 0.736). In summary, brewing the bark at 60 minutes was observed to provide the highest antioxidant activity.
Vibrio cholerae Exploits Sub-Lethal Concentrations of a Exploits Sub-Lethal Concentrations of a Competitor-Produced Antibiotic to Avoid Toxic Interactions Competitor-Produced Antibiotic to Avoid Toxic Interactions

Vibrio cholerae is a human pathogenic marine bacterium inhabiting coastal regions and is vectored into human food and water supplies via attachment to particles including detritus, phytoplankton, and zooplankton. Particle colonization by the pathogen is inhibited by an antagonistic interaction with the particle-associated Vibrionales bacterium SWAT3, a producer of the antibiotic andrimid. By analyzing the individual movement behaviors of V. cholerae exposed to a gradient of andrimid in a microﬂuidics device, we show that the pathogen has a concentration dependent avoidance response to sub-lethal concentrations of the pure antibiotic and to the metabolites produced by a growing colony of SWAT3-wild-type. This avoidance behavior includes a 25% increase in swimming speeds, 30% increase in run lengths, and a shift in the direction of the bacteria away from the andrimid source. Consequently, these behavioral shifts at low concentrations of andrimid would lead to higher diffusivity and result in the dispersion of bacteria away from the competitor and source of the antibiotic. Such alterations in motility were not elicited in response to a non-andrimid-producing SWAT3 mutant, suggesting andrimid may be a negative effector of chemotaxis for V. cholerae . The behavioral response of colonizing bacteria to sub-inhibitory concentrations of competitor-produced antibiotics is one mechanism that can inﬂuence microbial diversity and interspeciﬁc competition on particles, potentially affecting human health in coastal communities and element cycling in the ocean.
XorSHAP: Privacy-Preserving Explainable AI for Decision Tree Models

Explainable AI (XAI) refers to the development of AI systems and machine learning models in a way that humans can understand, interpret and trust the predictions, decisions and outputs of these models. A common approach to explainability is feature importance , that is, determining which input features of the model have the most signiﬁ-cant impact on the model prediction. Two major techniques for computing feature importance are LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations). While very generic, these methods are computationally expensive even in plaintext. Applying them in the privacy-preserving setting when part or all of the input data is private is therefore a major computational challenge. In this paper, we present XorSHAP - the ﬁrst practical privacy-preserving algorithm for computing SHAP values for decision tree ensemble models in the semi-honest Secure Multiparty Computation (SMPC) setting with full threshold. Our algorithm has complexity O ( T (cid:102) MD 2 D ), where T is the number of decision trees in the ensemble, D is the depth of the decision trees and (cid:102) M is the maximum of the number of features M and 2 D (the number of leaf nodes of a tree), and scales to real-world datasets. Our implementation is based on Inpher’s Manticore framework and simultaneously computes (in the SMPC setting) the SHAP values for 100 samples for an ensemble of T = 60 trees of depth D = 4 and M = 100 features in just 7.5 minutes, meaning that the SHAP values for a single prediction are computed in just 4.5 seconds for the same decision tree ensemble model. Additionally, it is parallelization-friendly, thus, enabling future work on massive hardware acceleration with GPUs.
La expansión del cultivo de la soja en Campeche, México: Problemática y perspectivas

The soybean is the grain in which greater food dependency has Mexico, reason why as of 2008, the government has promoted his culture, granting excellent subsidies, as much to producers as to buyers of the grain, thus contributing to a recent process of expansion in certain states, as it happens in Campeche. The objetive of this article is the analysis of the characteristics and effects of those supports, as well as of the rest of factors that until today they have taken to the producers of the mentioned state to initiate or to expand the cultivation of the soybean. The findings of the investigation reveal that although the producers have improved their levels of income, the process is vulnerable, as it depends on variables like the governmental supports, the international prices of the soybean and exchange rate. Although the study of the negative effects of genetically modified soybeans (GM) in other areas (environment, biodiversity, deforestation, human and animal health) is not the purpose of this investigation, some information will be provided, as on the conflict between soybean producers and beekeepers in the state of Campeche.
Machine Learning for Static Malware Analysis

Machine learning was used to classify executable ﬁles as either malicious or benign. Multiple models were trained on feature sets derived from several sample characteristics: PE headers, bytes n -grams, control ﬂow graphs and API call graphs.A dataset of 32 967 benign and 74 924 malign samples was compiled and will be made available to the community where safely possible. An ensemble classiﬁer was trained using the prediction outputs of the individual models as input features. All individual models performed well, and the ensemble markedly improved on these scores for a ﬁnal classiﬁcation accuracy of 98.9%. This demonstrates that multi-modal late fusion is a potent tool for malware detection. Classiﬁcation of samples into malware families was also conducted using the call graph classiﬁer. This displayed strong discriminative power for certain classes.
20 years of modern endometritis research – a review

During the last two decades it has become clear that endometritis is a common postpartum disease of dairy cows, detrimentally affecting fertility and herd life. Endometritis is a separate and distinct condition from cervicitis; they may occur separately or together. Either condition may be associated with purulent vaginal discharge but need not be. A few cases of purulent vaginal discharge exist without evidence of endometritis or cervicitis. The effect on fertility of these conditions appears to be independent and additive. Endometritis is mostly mediated by negative energy balance in the periparturient period and cervicitis by obstetrical complications. The risk of both conditions is increased in cows that suffer puerperal metritis. Cephapirin specifically formulated for intrauterine infusion is effective in improving reproductive performance in affected cows but is not available in the USA. At present no other treatment has been convincingly shown to be effective.
Could an AI design a larp? Processes and applications 1

The potential use of artificial intelligence (AI) in the design of live-action role-playing games (larps) presents a new frontier for this kind of creation processes, even among analog games. To explore the possibilities, we developed Project Dark.IA: The Insurrection of the Captives (Torrebejano 2023), a science fiction larp created mainly through artificial and automated means by ChatGPT and Midjourney. The analysis of this design process shows that, currently, AI is not capable of creating a larp in a coherent and unassisted manner, although some of its resources –in addition to other technological tools, that will be explained– can be truly useful and efficient both creatively and non-diegetically.
(In)safety of labeling of cereal-based infant foods in relation to current brazilian legislation

Introduction: Cereals are widely used in children's nutrition. Objective: to evaluate the nutritional composition and labeling of cereal-based infant foods, in relation to current legislation. Material and Methods: cross-sectional, analytical and descriptive study that evaluated cereal-based foods, as well as labeling compliance with current Brazilian legislation. Results: 72 food samples were evaluated: cereal for baby food; mixture for the preparation of porridge and cereal flour. One hundred percent of the samples showed some non-compliance with the legislation, including the presence of a false concept of advantage and safety, illustrations not allowed, absence of mandatory warnings and, absence of the minimum age for consumption of the product. In bromatological and labeling analyses, the carbohydrate content of all categories exceeded 80% of the total energy value of the product. The protein, lipid, carbohydrate and energy contents of the cereal category for infant feeding showed significant differences, being, respectively, p=0.015, p<0.001, p=0.013 and p<0.001. The mix category for porridge preparation also showed significant differences for proteins, lipids, carbohydrates and energy (p<0.001). In the category of cereal flours, only the protein content showed a difference (p=0.05). Conclusion: considering the sample universe of the study, it is possible to conclude that even in the presence of specific legislation, we still find legal non-conformities in the labeling of cereal-based foods intended for infant feeding, and these foods have a nutritional composition different from the information presented on their labels, negatively impacting children's food safety
On the Cauchy Transform of the Complex Power Function

The integral (cid:82) | z | = 1 z β z − α dz for β = 12 has been comprehensively studied by Mortini and Rupp for pedagogical purposes. We write for a similar purpose, elaborating on their work with the more general consideration β ∈ C . This culminates in an explicit solution
Fusion of Color and Depth Information for Facial Recognition using a Multi Perspective Approach

: Facial-recognition is an explored and demanding task. Previously, mostly color (RGB) images were used to tackle it. Recently, advances in 3D scanners have been providing extra facial information. This new information improves the performance of current facial recognition architectures. In this research, both RGB and depth image information were utilized for addressing the problem of facial-recognition and by characterizing each image with the use of multi-perspective-approach (MPA). Data were combined from different textural-image-descriptors (TIDs) while keeping the most relevant features. Feature vectors resulting from such combinations were entered into a random-forest-classifier (RFC) to obtain a comparative analysis through the EURECOM facial dataset. The outcomes of our case-studies are comprehensively elaborated in this paper.
Impact of clinical and echocardiographic response to cardiac resynchronization therapy on long-term survival.

BACKGROUND Clinical or echocardiographic mid-term responses to cardiac resynchronization therapy (CRT) may have a different influence on a long-term prognosis of heart failure patients treated with CRT. The aim of the evaluation was to establish which definition of response to CRT, clinical or echocardiographic, best predicts long-term prognosis. METHODS AND RESULTS A total of 679 heart failure patients treated with CRT were included. All the patients underwent a complete history and physical examination and transthoracic echocardiogram prior to CRT implantation and at 6-month follow-up. The clinical and echocardiographic responses to CRT were defined based on clinical improvement (≥1 NYHA class) and LV reverse remodelling (reduction in LV end-systolic volume ≥15%) at 6-month follow-up, respectively. All the patients were prospectively followed up for the occurrence of death. The mean age was 65 ± 11 years and 79% of the patients were male. At 6-month follow-up, 510 (77%) patients showed clinical response to CRT and 412 (62%) patients showed echocardiographic response to CRT. During a mean follow-up of 37 ± 22 months, 140 (21%) patients died. Clinical and echocardiographic responses to CRT were both significantly related to all-cause mortality on univariable analysis. However, on multivariable Cox-regression analysis only echocardiographic response to CRT was independently associated with superior survival (hazard ratio: 0.38; 95% CI: 0.27-0.50; P < 0.001). CONCLUSION In a large population of heart failure patients treated with CRT, the reduction in LV end-systolic volume at the mid-term follow-up demonstrated to be a better predictor of long-term survival than improvement in the clinical status.
Edinburgh Research Explorer C2TACO: Lifting Tensor Code to TACO

Domain-specific languages (DSLs) promise a significant performance and portability advantage over traditional languages. DSLs are designed to be high-level and platform-independent, allowing an optimizing compiler significant leeway when targeting a particular device. Such languages are particularly popular with emerging tensor algebra work-loads. However, DSLs present their own challenge: they require programmers to learn new programming languages and put in significant effort to migrate legacy code. We present C2TACO, a synthesis tool for synthesizing TACO, a well-known tensor DSL, from C code. We develop a guided enumerative synthesizer that uses automatically generated IO examples and source-code analysis to efficiently generate dense tensor algebra code. C2TACO is able to synthesize 95% benchmarks from a tensor benchmark suite, out-performing an alternative neural machine translation technique, and demonstrates substantially higher levels of accuracy when evaluated against two state-of-the-art existing schemes, TF-Coder and ChatGPT. Our synthesized TACO programs are, by design, portable achieving significant performance improvement when evaluated on a multi-core and GPU platform.
Remote control system and remote control

The invention provides a remote control system and a remote control which actively controls the communication and dis-communication of a plurality of sensors arranged in the remote control so as to save power for the remote control. According to the invention, the remote control comprises a microphone sensor (191) to detect a user's sounds and a movement sensor (192) to detect the movement of the sensor. A switching unit is provided to realize the switching between the sensors (191,192) to have them connected and disconnected; a communication unit (193) is used to perform wireless communications between STB (200). A timing unit (195) is used to time the switching state from being connected to being disconnected. A switching unit (194) is used to switch the connection and disconnection of the sensors.
Development and testing of a desert dust module in a regional climate model

We develop a desert dust module and implement it within a regional climate model (RegCM). The dust module includes emission, transport, gravitational settling, wet and dry removal and calculations of dust optical properties. The coupled RegCM-dust model is applied to the simulation of two dust episodes over the Sahara region (a northeastern Africa dust outbreak, and a west Africa-Atlantic dust outbreak observed during the SHADE "Saharan Dust Experiment") as well as a three month simulation over an extended domain covering the Africa-Europe sector. Comparison with satellite and insitu (for SHADE) measurements shows that the model captures the main spatial (both horizontal and vertical) and temporal features of the dust distribution. The main model deficiency occurred in the SHADE case, when the model failed to accurately simulate the development of a mesoscale low associated with an easterly wave that contributed to the generation of the dust outbreak. The model appears suitable to conduct long term simulations of the effects of Saharan dust on African and European climate.
Choice of episodes to model: Considering effects of control strategies on ranked severity of prospective episode days

Photochemical grid models are widely used to assess whether prospective sets of control measures will be effective in helping to meet air quality goals for ozone. Because these tools are resource intensive, analyses are typically confined to a limited number of episode days. Air quality goals generally specify a concentration, averaging time and a frequency with which the specified concentration may be exceeded. Ideally, one would like to model an episode for which control measures reduce ozone so that the air quality goal is just met. To do this, one would have to know the relative severity of the selected episode days after control measures are put in place. This is generally not known. In this paper, the authors examine how rankings before controls are applied may be used to draw conclusions about rankings after imposition of controls. To gain such insight, they have used results from the Regional Oxidant Model (ROM) applied over the eastern half of the US for meteorological conditions prevailing during June 1--August 31, 1987. Three emission scenarios are considered. Days during this period are ranked for a base case and two control scenarios. Predicted 8-hour daily maximum ozone concentrations are used as the basis formore » rankings. Shape of the distribution of predicted ranked daily maxima is nearly log normal. This shape is essentially retained after imposition of substantial control measures, with only some flattening near the upper and lower extremes of the distribution. Further, pre-control rankings based on modeled urbanwide 8-hour daily maxima appear to correspond closely to post-control rankings. Daily 8-hour maxima were also ranked for subregions within selected urban areas to more closely simulate what might be observed at fixed monitoring sites. For the most part, pre- and post-control rankings appear nearly as stable for the subregions as they are for the entire urban domain. « less