Miracle-dz/UniFAR-FTUs huggingface dataset:
Modern Times, Ancient Hours: Working Lives in the Twenty-First Century

It is a commonly expressed view that the sickness of our society is unemployment. Less frequently argued is the fact that we are, at the same time, suffering from overwork. And less frequently still that in our capitalist market society that two sicknesses, unemployment and overwork, feed off one another and jointly attack the working classes of the world. Pietro Basso's thesis is that the average working time of wage labourers is now more intense, fast-paced, 'flexible' and longer than at any time in recent history. This is true, he argues, not only in industry and agriculture, but also, and particularly, in 'services'. It is also increasingly true for all Western countries and not just the USA. The introduction of the thirty-five-hour working week in France notwithstanding, all the signs of a creeping deterioration in the working lives of millions of people are evident: a reduction in the purchasing power of wages, the mass downsizing of corporations, the continual erosion of company and state-ensured benefits, and the availability of much cheaper labour from Latin America, Asia, Africa and eastern Europe. Modern Times, Ancient Hours combines a theoretical explanation of the causes of this 'paradoxical' evolution of working hours with an impressively broad range of empirical documentation, making the book a highly significant and timely contribution to the study of the way in which most people's working lives are now lived. The book also reminds us that the human aspiration to do work that does not break the body or the spirit is universal and deep-rooted. Workers will rise, Basso argues, if they continue to be pushed beyond their limits.
Variabilidade de resposta e processo adaptativo em aprendizagem motora

The present study’s purpose was to investigate the effect of response variability in the adaptive process of motor learning. Thirty two female undergraduate students were randomly divide in groups, an EG, and performed twenty five trials in the stabilization phase and twenty The CG was submitted to constant response practice condition and the EG to response practice condition, using the two-hand coordination task. Measures used were tn execu on ime an number of errors. Two-way analysis of variance with repeated measures m the secon s owe learning effect in relation to error in the CG and the same effect in relation to trials execution ime in both groups. An inter-groups comparison showed no significant difference in relation to o measures in the adaptation phase, but the comparison between the stabilization phase last trial and a ptation p e first trial by t test showed that the CG had more difficulty in adapting to the new situation. This result was interpreted, considered the limitations, as evidence supporting the formulated hypothesis.
Top Incomes: A Global Perspective

A rapidly growing area of economic research investigates the top of the income distribution using data from income tax records. This volume brings together studies of top incomes for twelve countries from around the world, including China, India, Japan, Argentina and Indonesia. Together with the first volume, published in 2007, the studies cover twenty two countries. They have a long time span, the earliest data relating to 1875 (for Norway), allowing recent developments to be placed in historical perspective. The volume describes in detail the source data and the methods employed. It will be an invaluable reference source for researchers in the field. Individual country chapters deal with the specific nature of the data for each of the countries, and describe the long-term evolution of top income shares. In the countries as a whole, dramatic changes have taken place at the top of the income distribution. Over the first part of the century, top income shares fell markedly. This largely took the form of a reduction in capital incomes. The different authors examine the impact of the First and Second World Wars, contrasting countries that were and were not engaged. They consider the impact of depressions and banking crises, and pay particular attention to the impact of progressive taxation. In the last 30 years, the shares of top incomes have increased markedly in the US and other Anglo-Saxon countries, reflecting the increased dispersion of earnings. The volume includes statistics on the much-discussed top pay and bonuses, providing a global perspective that discusses important differences between countries such as the lesser increase in Continental Europe. This book, together with volume 1, documents this interesting development and explores the underlying causes. The findings are brought together in a final summary chapter by Atkinson, Piketty and Saez. (presentation editeur)
Alkaline arginine promotes the gentamicin-mediated killing of drug-resistant Salmonella by increasing NADH concentration and proton motive force

Introduction Antimicrobial resistance, especially the development of multidrug-resistant strains, is an urgent public health threat. Antibiotic adjuvants have been shown to improve the treatment of resistant bacterial infections. Methods We verified that exogenous L-arginine promoted the killing effect of gentamicin against Salmonella in vitro and in vivo, and measured intracellular ATP, NADH, and PMF of bacteria. Gene expression was determined using real-time quantitative PCR. Results This study found that alkaline arginine significantly increased gentamicin, tobramycin, kanamycin, and apramycin-mediated killing of drug-resistant Salmonella, including multidrug-resistant strains. Mechanistic studies showed that exogenous arginine was shown to increase the proton motive force, increasing the uptake of gentamicin and ultimately inducing bacterial cell death. Furthermore, in mouse infection model, arginine effectively improved gentamicin activity against Salmonella typhimurium. Discussion These findings confirm that arginine is a highly effective and harmless aminoglycoside adjuvant and provide important evidence for its use in combination with antimicrobial agents to treat drug-resistant bacterial infections.
Effect of Crataegus Azarolus on blood glucose, lipid pro�le and antioxidant status in streptozotocin diabetic rats fed zinc de�cient diet

Objective zinc plays an important role in insulin's biosynthesis and storage. Consequently, its de�ciency may have a deleterious impact on the progression of diabetes and associated consequences. Thus, this study was conducted to investigate the effect of Hawthorn “Crataegus Azarolus” on blood biochemical parameters, tissue zinc status, and oxidative stress biomarkers in streptozotocin diabetic rats fed zinc insu�cient diet.
A neighborhood search integer programming approach for wind farm layout optimization

Abstract. Two models and a heuristic algorithm to address the wind farm layout optimization problem are presented. The models are linear integer programming formulations where candidate locations of wind turbines are described by binary variables. One formulation considers an approximation of the power curve by means of a stepwise constant function. The other model is based on a power-curve-free model where minimization of a measure closely related to total wind speed deficit is optimized. A special-purpose neighborhood search heuristic wraps these formulations with increasing tractability and effectiveness compared to the full model that is not contained in the heuristic. The heuristic iteratively searches for neighborhoods around the incumbent using a branch-and-cut algorithm. The number of candidate locations and neighborhood sizes are adjusted adaptively. Numerical results on a set of publicly available benchmark problems indicate that a proxy for total wind speed deficit as an objective is a functional approach, since high-quality solutions of the metric of annual energy production are obtained when using the latter function as an substitute objective. Furthermore, the proposed heuristic is able to provide good results compared to a large set of distinctive approaches that consider the turbine positions as continuous variables.
Bipartite Synchronization and Convergence Analysis for Network of Harmonic Oscillator Systems With Signed Graph and Time Delay

This paper considers the distributed control problem for a network of harmonic oscillator systems with delayed velocity coupling and signed graph topology containing a directed spanning tree. In sharp contrast to the dynamical behaviors of traditional coupled harmonic oscillators over unsigned graphs, it is found that the considered signed network can exhibit some more interesting behaviors, including bipartite synchronization, stabilization, and convergent behavior. First, when the underlying graph is structurally balanced, some necessary and sufficient conditions in terms of coupling strength and time delay are established to achieve bipartite synchronization in the signed network. Then, under the assumption that the signed graph is structurally unbalanced, it is shown that the network state converges either to the origin or to a nontrivial trajectory. In particular, a novel approach is developed to explicitly determine the converged trajectory based on the left and right eigenvectors associated with the simple zero eigenvalue of the signed graph’s Laplacian matrix. Finally, the theoretical analysis is illustrated by some numerical examples.
PDMS-metal oxide nanocomposites as transparent encapsulants for flexible electronic devices

Encapsulation is integral to electronic devices for maintaining long-term functionality and stability. While a variety of materials and solutions are available for conventional silicon-based electronics, not all of them are suitable for flexible optoelectronic devices. Typically, these devices require materials with low processing temperature, while maintaining both the optical and electrical functionality. Simple deposition and low cost are added advantages. In this work, we show that pure polydimethylsiloxane (PDMS), and its composites with metal oxide nanoparticles such as zinc oxide (ZnO) and titanium dioxide (TiO2) are suitable encapsulants for flexible electronics. These coatings are electrically and thermally insulating, optically transparent (controllable by the amount of metal oxides), hydrophobic (contact angle > 114∘), and offer good environmental protection. The coatings can be prepared by a simple spin coating process and annealed at temperatures less than 150 ∘C. The performance of pure PDMS and PDMS-metal oxides were evaluated using different characterisation techniques. These coatings were also tested on printed silver nanowire patterns and commercial flexible NFC (near field communication) tags. The addition of up to 2 wt. % ZnO and TiO2 nanoparticles was found to improve the properties of PDMS, improving the environmental protection (showing a Bode impedance of the order of 10 8Ω - cm2 ), without significantly affecting the optical transparency ( > 73% transmittance).
Comportamiento agronómico de líneas promisorias de fríjol caupí Vigna unguiculata L. Walp en el Valle del Sinú

The agronomic performance of 12 cowpea genotypes and the original population was evaluated in order to select genotypes with higher agronomic attributes, taking into account the agro-ecological conditions of the Sinu river valley, departament of Cordoba, Colombia. Randomized complete block design with 13 treatments and four replications was applied. Response variables were grain yield and its components. The populations together with their parents were sown in the experimental area located at the University of Cordoba in Monteria - Colombia in 2009. Analysis of variance showed significant differences (P <0,05) for the number of pods per plant, pods per meter, number of seeds per pod and grain yield, while for the seed weight differences were highly significant (P <0,01). Otherwise, the precocity has not significance. The genetic variability present in the inbred lines allows select cultivars with good agronomic attributes and excellent yields of grain to improve production levels of farmers in the Sinu valley.
Auto-Scaling Containerized Applications in Geo-Distributed Clouds

As a lightweight and flexible infrastructure solution, containers have increasingly been used for application deployment on a global scale. By rapidly scaling containers at different locations, the deployed applications can handle dynamic workloads from the worldwide user community. Existing studies usually focus on the (dynamic) container scaling within a single data center or the (static) container deployment across geo-distributed data centers. This article studies an increasingly important container scaling problem for application deployment in geo-distributed clouds. Reinforcement learning (RL) has been widely used in container scaling due to its high adaptability and robustness. To handle high-dimensional state spaces in geo-distributed clouds, we propose a deep RL algorithm, named DeepScale, to auto-scale containerized applications. DeepScale innovatively utilizes multi-step predicted future workloads to train a holistic scaling policy. It features several newly designed algorithmic components, including a domain-tailored state constructor and a heuristic-based action executor. These new algorithmic components are essential to meet the requirements of low deployment costs and achieve desirable application performance. We conduct extensive simulation studies using real-world datasets. The results show that DeepScale can significantly outperform an industry-leading scaling strategy and two state-of-the-art baselines in terms of both cost-effectiveness and constraint satisfaction.
Toward on-demand measurements of greenhouse gas emissions using an uncrewed aircraft AirCore system

This paper evaluates the performance of a multirotor uncrewed aircraft and AirCore system (UAAS) for measuring vertical profiles of wind velocity (speed and direction) and the mole fractions of methane (CH 4 ) and carbon dioxide (CO 2 ), and presents a use case that combines UAAS measurements and dispersion modeling to quantify CH 4 emissions from a dairy farm. To evaluate the atmospheric sensing performance of the UAAS, four field deployments were performed at three locations 15 in the San Joaquin Valley of California where CH 4 hotspots were observed downwind of dairy farms. A comparison of the observations collected on board the UAAS and an 11-m meteorological tower show that the UAAS can measure wind velocity trends with a root mean squared error varying between 0.4 and 1.1 m s -1 when the wind magnitude is less than 3.5 m s -1 . Findings from UAAS flight deployments and a calibration experiment also show that the UAAS can reliably resolve temporal variations in the mole fractions of CH 4 and CO 2 occurring over 10 second periods or longer. Results from the UAAS and 20 dispersion modeling use case further demonstrate that UAAS have great potential as a low-cost tool for detecting and quantifying CH 4 emissions in near real-time.
A Posteriori Error Analysis for an Ultra-Weak Discontinuous Galerkin Approximations of Nonlinear Second-Order Two-Point Boundary-Value Problems

In this paper, we present and analyze a posteriori error estimates in the L 2 -norm of an ultra-weak discontinuous Galerkin (UWDG) method for nonlinear second-order boundary-value problems for ordinary di(cid:11)erential equations of the form u ′′ = f ( x;u ). We (cid:12)rst use the superconvergence results proved in the (cid:12)rst part of this paper ( J. Appl. Math. Comput. 69, 1507-1539, 2023) to prove that the UWDG solution converges, in the L 2 -norm, towards a special p -degree interpolating polynomial, when piecewise polynomials of degree at most p (cid:21) 2 are used. The order of convergence is proved to be p + 2. We then show that the UWDG error on each element can be divided into two parts. The dominant part is proportional to a special ( p +1)-degree Baccouch polynomial, which can be written as a linear combination of Legendre polynomials of degrees p (cid:0) 1, p , and p + 1. The second part converges to zero with order p + 2 in the L 2 - norm. These results allow us to construct a posteriori UWDG error estimates. The proposed error estimates are computationally simple and are obtained by solving a local problem with no boundary conditions on each element. Furthermore, we prove that, for smooth solutions, these a posteriori error estimates converge to the exact errors in the L 2 -norm under mesh re(cid:12)nement. The order of convergence is proved to be p + 2. Finally, we prove that the global e(cid:11)ectivity index converges to unity at O ( h ) rate. Numerical results are presented exhibiting the reliability and the e(cid:14)ciency of the proposed error estimator.
Multi-Omics Analysis Reveals the Pathogenesis of Growth-Disordered Raccoon Dog

Microorganisms of the genus Eperythrozoon are a zoonotic chronic infectious disease with wide distribution. We found that raccoons infected with Eperythrozoon showed obvious stunting, which seriously affected the economic benefits of raccoon dogs. To investigate the pathogenesis of the raccoon dog, we used transcriptome and proteome sequencing to analyze the changes in mRNA, miRNA, and protein expression in raccoon dogs infected with Eperythrozoon and normal raccoons. The results showed that the expression levels of genes related to immunity, metabolism, and enzyme activity were significantly changed. Among these, ERLIN1, IGF1R, CREB3L1, TNS1, TENC1, and mTOR play key roles. Additionally, the miR-1268, miR-125b, miR-10-5p, and miR-10 as central miRNAs regulate the expression of these genes. Integrated transcriptomic and proteomic analyses revealed consistent trends in mRNA and protein changes in MYH9, FKBP1A, PRKCA, and CYP11B2. These results suggest that Eperythrozoon may contribute to the slow development of raccoons by affecting the expression of mRNAs and miRNAs, reducing their immunity and causing metabolic abnormalities.
Electrospun Scaffolds as Antimicrobial Herbal Extract Delivery Vehicles for Wound Healing

Herbal extracts have been used in traditional remedies since the earliest myths. They have excellent antimicrobial, anti-inflammatory, and antioxidant activities owing to various bioactive components in their structure. However, due to their inability to reach a target and low biostability, their use with a delivery vehicle has come into prominence. For this purpose, electrospun nanofibrous scaffolds have been widely preferred for the delivery and release of antimicrobial herbal extracts due to the flexibility and operational versatility of the electrospinning technique. Herein, we briefly reviewed the electrospun nanofibrous scaffolds as delivery systems for herbal extracts with a particular focus on the preclinical studies for wound-healing applications that have been published in the last five years. We also discussed the indirect effects of herbal extracts on wound healing by altering the characteristics of electrospun mats.
Regeneration of Buccal Wall Defects after Tooth Extraction with Biphasic Calcium Phosphate in Injectable Form vs. Bovine Xenograft: A Randomized Controlled Clinical Trial

Bone healing after tooth extraction may be affected by defects of the alveolus buccal wall, such as fenestrations and dehiscences. Therefore, to minimize dimensional changes it is advisable to perform alveolar ridge preservation after tooth extractions. Different biomaterials are used for this purpose. The aim of this study was to investigate the qualitative and quantitative histological changes in human biopsies taken after 6 months of healing of extraction sockets with buccal wall defects. For this purpose, the defects of 36 patients (18 per group) were treated with injectable biphasic calcium phosphate (I-BCP) or bovine xenograft (BX) after extraction. After six months of healing, biopsies were taken and proceeded to the histology laboratory. No evidence of an inflammatory response of the tissue was observed in the biopsies of either group, and the newly formed bone (NB) was in close contact with the remaining biomaterial (BM). The histomorphometric results showed that there was no statistically significant difference between the groups in the mean percentage of NB (p = 0.854), BM (p = 0.129), and soft tissue (p = 0.094). To conclude, both biomaterials exhibited osteoconductivity and biocompatibility and achieved satisfactory bone regeneration of buccal wall defects after tooth extraction.
Prospects and obstacles of digital quality management in Saudi Arabia universities. A systematic literature review from the Last Decade

Abstract Higher education institutions throughout the world are facing difficulties from political, economic, and technical causes, demanding the adoption of innovative management techniques and organisational structures to preserve their places in the global market. In this environment, digitization has emerged as a vital instrument for boosting educational quality in institutions throughout the world. A relatively new idea, digital quality management, has gained traction in higher education institutions. The purpose of this study is to investigate the role of digital quality management in supporting exceptional development in Saudi Arabian institutions through the digital transformation process. The research technique adhered to the PRISMA 2020 statement, resulting in the selection of 36 papers on digital quality management. There were three key data classifications that developed, including education and learning, digital transformation, and quality management studies. The evaluation discovered significant weaknesses in higher education institutions’ quality management systems for digital development. Existing research has mostly focused on traditional methodologies for evaluating quality management, such as lean six sigma, comprehensive quality management, and quality management systems used by Saudi institutions. Establishing and maintaining high-quality assurance and management in higher education is critical for long-term advancement since continuous quality review is critical to success. The findings of this study will help higher education institutions identify their digital quality management strengths and areas for improvement, encouraging academics to reevaluate quality objectives and digital learning management strategies in order to improve overall learning quality. Finally, via the process of digital transformation, digital quality management provides an effective outlet for Saudi Arabian institutions to build long-term competitive advantages and promote outstanding development.
An Overview of Developmental Dysplasia of the Hip and Its Management Timing and Approaches

Developmental dysplasia of the hip (DDH), if uncorrected, can result in several chronic abnormalities, including chronic hip pain, degenerative arthritis, and gait abnormalities. The outcome of DDH generally depends on the age of presentation; a worse prognosis is linked to a higher age of presentation. Although treatment continues to be a challenge, recent advancements in the field have improved our understanding of the disease, which has resulted in advancements in DDH surveillance during infancy and the reduction of complications with early intervention. The databases used for this overview include Cochrane Central Register of Controlled Trials (CENTRAL), the Cochrane Library, MEDLINE, and EMBASE. These databases were used to search for ongoing trials related to the management and diagnosis of DDH.