Miracle-dz/UniFAR-FTUs huggingface dataset:
Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance

For decreasing communication load and overcoming network constrains, such as the limited bandwidth and data loss in multi-agent networks, this paper integrates the two control strategies to investigate the bounded consensus problem of multi-agent systems (MASs) with external disturbance on the basis of an undirected graph, namely, the quantized control and the event-triggered control. In the existence of the external disturbance, two types of the high-gain control laws with the uniform quantized relative state measurements for the bounded consensus problem of MASs are first discussed, respectively. Then, in order to save the limited network resources in a multi-agent network, the event-triggered quantized communication protocols are designed based on the first case to obtain the bounded consensus in multi-agent systems. Moreover, it is shown that “Zeno behavior” phenomenon can be excluded under the two event-triggered quantized control mechanisms, and the boundness of the relative state error can be adjusted by selecting the different parameters. Finally, two examples are shown to validate the feasibility and efficiency of our theoretical analysis.
Position specific player load during match-play in a professional football club

There is a rapid growing body of knowledge regarding physical aspects of a football match due to studies using computer-assisted motion analysis. The present study used time-motion analysis and triaxial-accelerometers to obtain new insights about differences in physical profiles of elite football players across playing-positions. Player performance data in 23 official home matches from a professional football club, during two seasons were collected for analysis. Eighteen players from five different playing positions (central backs: n = 3; full-backs: n = 5; central midfielders: n = 6; wide midfielders: n = 3; and central forwards: n = 4), performing a total of 138 observations. A novel finding was that central backs and central midfielders had significantly lower work-rate in sprints, decelerations and accelerations than full-backs, wide midfielders and central forwards (p<0.001). Furthermore, wide midfielders and full-backs performed significantly more turns (>90°) than central backs. The most common distance covered in high-intensity runs (≥19.8 km·h−1) for central backs, central midfielders, wide midfielders and central forwards was 1–5 m, but for full-backs was 6–10 m. This may help coaches in developing individualized training programs to meet the demands of each position in match-play.
Egg Shape Characterization for Four Genetic Groups of Kurdish Local Chickens

Egg external traits have attentions from researchers for many years ago. This study was conducted to compare between the egg shapes of four genetic groups of Kurdish local chicken. 454 Eggs from all the groups were individually weighed to the nearest 0.01 g using an electronic digital balance. Length and width of egg were individually recorded by using a digital caliper. It was found significant difference (P<0.01) between White with shank feather and Black with brawn neck in egg weight. Egg length also differs significantly between black brawn neck, white with shank feather and white without shank feather (P<0.01). Egg breadth was significantly just between pure black and weight without shank feather. And finally shape index was differing significantly between groups but just pure black and white without shank feather not differ in (P<0.01) level. The highest significant positive correlations between external egg traits were found between egg weight and egg breadth (0.796), and between egg weight and egg length (0.760) p< 0.0001. Higher significant negative correlation was between egg length and egg shape index (-0.813) p< 0.0001. It could be concluded that there were statistically significant differences between the genetic groups in their egg weight and egg external traits such as egg length, egg breadth and shape index, and this may be due to their genetic makeup. Further studies are needed to characterize these groups based on molecular markers. Key-words:Local Chicken, External Egg Traits, Breadth
Digital History meets Microblogging: Analyzing Collective Memories in Twitter

Having good knowledge and comprehension of history is believed to be important for a variety of reasons. Microblogging platforms could offer good opportunities to study how and when people explicitly refer to the past, in which context such references appear and what purpose they serve. However, this area remains unexplored. In this paper we report the results of a large scale exploratory analysis of history-focused references in microblogs based on 11-months long snapshot of Twitter data. We are the first to analyze general historical references in Twitter based on large scale data analysis. The results of this study can be used for designing content recommendation systems and could help to improve time aware search applications.
Attitudes of undergraduate students towards persons with disabilities; the role of the need for social approval

The purpose of this study was a diagnosis of the attitudes of students of Warsaw universities towards people with disabilities and the variables which impacted on these attitudes. Additionally, we examined the relationship between the need for social approval and explicit attitudes towards people with disabilities. The study focused on two components of attitudes: behavioural (measured by preferable social distance – SDSB) and cognitive (tested with a semantic differential scale – SDSO). 318 students completed a survey including a demographic sheet, a social desirability scale, the SDSB and SDSO. The results indicate that students expressed positive attitudes towards people with disabilities. The impact of such variables as gender, the type of disability and the need for social approval was registered and were differentiated in regard to components of attitudes. The results are discussed with reference to earlier research and cues for further studies are suggested.
Implant-Supported PMMA Monolithic Full-Arch Rehabilitation with Surgical Computer-Planned Guide and Immediate Provisional: A Case Report with One Year Follow-Up

The aim of this case report is to describe the surgical and prosthetic procedures to achieve maxillary and mandibular implant-supported PMMA monolithic full-arch rehabilitation (PMFR) with surgical computer-planned guide and immediate provisional. In such cases, the correct planning of dental implants' position, length, and diameter and the prosthetic phases via computer-aided design are very important to achieve good aesthetic and functional long-lasting results.
Meditation-Induced Coherence and Crucial Events

In this paper we emphasize that 1/f noise has two different origins, one compatible with Laplace determinism and one determined by unpredictable crucial events. The dynamics of heartbeats, manifest as heart rate variability (HRV) time series, are determined by the joint action of these different memory sources with meditation turning the Laplace memory into a strongly coherent process while exerting an action on the crucial events favoring the transition from the condition of ideal 1/f noise to the Gaussian basin of attraction. This theoretical development affords a method of statistical analysis that establishes a quantitative approach to the evaluation of the stress reduction realized by the practice of Chi meditation and Kundalini Yoga.
Bimatoprost in Dermatology

Bimatoprost is a prostamide analogue used for treatment of glaucoma in ophthalmology. Surprisingly, the side effects such as increased pigmentation of eyelids and hypertrichosis in patients being treated with prostaglandin analogues for glaucoma have opened new areas of application in various dermatological disorders such as alopecia mainly affecting eyelashes, eyebrows, and vitiligo.
Stochastic Zeroth-order Optimization via Variance Reduction method

Derivative-free optimization has become an important technique used in machine learning for optimizing black-box models. To conduct updates without explicitly computing gradient, most current approaches iteratively sample a random search direction from Gaussian distribution and compute the estimated gradient along that direction. However, due to the variance in the search direction, the convergence rates and query complexities of existing methods suffer from a factor of $d$, where $d$ is the problem dimension. In this paper, we introduce a novel Stochastic Zeroth-order method with Variance Reduction under Gaussian smoothing (SZVR-G) and establish the complexity for optimizing non-convex problems. With variance reduction on both sample space and search space, the complexity of our algorithm is sublinear to $d$ and is strictly better than current approaches, in both smooth and non-smooth cases. Moreover, we extend the proposed method to the mini-batch version. Our experimental results demonstrate the superior performance of the proposed method over existing derivative-free optimization techniques. Furthermore, we successfully apply our method to conduct a universal black-box attack to deep neural networks and present some interesting results.
Effectiveness of low level laser therapy for treating male infertility

In half of the cases, the infertility of the couple is due to the disorder of the male fertility. The leading factors that cause male infertility are urogenital infections, disorders of the immune system, testicular and prostate pathology, as well as endocrine disorders. Low level laser therapy (LLLT) is a very effective physical therapy method, used in many areas of medicine, including obstetrics and gynaecology, andrology and urology; and it is recommended as an integral part of the complex treatment of infertility. The literature review showed that LLLT is beneficial in treating male infertility. Laser can significantly improve the survival, motility and speed of movement of spermatozoa. Laser therapy of patients with prostatitis and vesiculitis can eliminate infiltrative-exudative changes, improve reproductive and copulatory functions. Local illumination of red (635 nm) and infrared (904 nm) spectra should be combined with intravenous laser blood illumination (ILBI) of red (635 nm) and ultraviolet (UV) (365 nm) spectra.
Sodium Accumulation at Potential-Induced Degradation Shunted Areas in Polycrystalline Silicon Modules

We investigated potential-induced degradation (PID) in silicon mini-modules that were subjected to accelerated stressing to induce PID conditions. Shunted areas on the cells were identified with photoluminescence and dark lock-in thermography (DLIT) imaging. The identical shunted areas were then analyzed via time-of-flight secondary-ion mass spectrometry (TOFSIMS) imaging, 3-D tomography, and high-resolution transmission electron microscopy. The TOF-SIMS imaging indicates a high concentration of sodium in the shunted areas, and 3-D tomography reveals that the sodium extends more than 2 μm from the surface below shunted regions. Transmission electron microscopy investigation reveals that a stacking fault is present at an area identified as shunted by DLIT imaging. After the removal of surface sodium, tomography reveals persistent sodium present around the junction depth of 300 nm and a drastic difference in sodium content at the junction when comparing shunted and nonshunted regions.
Dynamics of soil nitrogen fractions and their relationship with soil microbial communities in two forest species of northern China

Microbially-mediated soil N mineralization and transformation are crucial to plant growth. However, changes in soil microbial groups and various N components are not clearly understood. To explore the relationship between soil N components and microbial communities, we conducted an in-situ experiment on two typically planted forest species, namely, Sibirica Apricot (SA) and Prunus davidiana Franch (PdF) by using closed-top polyvinyl chloride tubes. Changes in soil inorganic N, organic N (ON) fractions, and levels of microbial phospholipid fatty acids (PLFAs) were measured bimonthly from April 2012 to April 2013. Microbial PLFAs and the concentrations of easily-available microbial biomass N (MBN; ~60 mg kg-1), soluble ON (SON; ~20 mg kg-1), and inorganic N were similar between the two soils whereas the ON (~900 mg kg-1) and its major part total acid-hydrolyzable N (HTN; ~500 mg kg-1), were significantly different (p < 0.05) in most months (5/6 and 4/6; respectively). The canonical correlation analysis of soil N fractions and microbial parameters indicated that the relationship between total PLFAs (total biomass of living cells) and NH4+-N was the most representative. The relative contributions (indicated by the absolute value of canonical coefficient) of NH4+-N were the largest, followed by NO3−-N and MBN. For the HTN component, the relative percentage of hydrolyzable amino acid N and ammonium N decreased markedly in the first half of the year. Canonical variation mainly reflected the relationship between ammonium N and bacterial PLFAs, which were the most sensitive indicators related to soil N changes. The relative contributions of HTN components to the link between soil microbial groups and HTN components were ammonium N > amino acid N > amino sugar N. Observations from our study indicate the sensitivity of soil N mineralization indicators in relation to the temporal variation of soil microbial groups and N fractions.
Evidence of a Flynn Effect in Children's Human Figure Drawings (1902–1968)

ABSTRACT The Flynn effect is the long-term trend for scores on tests of cognitive ability to increase across cohorts. Several samples of children's human figure drawings, published in 1902, 1926, 1963, and 1968, are examined for evidence of a Flynn effect. Results show that larger percentages of children draw more complete human figures over the course of the 20th century.
Consumption of antibacterial molecules in broiler production in Morocco

Abstract Monitoring the use of antibacterial agents in food‐producing animals is crucial in order to reduce antimicrobial resistance, selection and dissemination of resistant bacterial strains, and drug residues in the animal food products. The broiler production sector is considered a great consumer of antibacterials and incriminated in the rise of antimicrobial resistance level in zoonotic bacterial pathogens such as Escherichia coli, Salmonella and Campylobacter. Following recommendations from the OIE and WHO, a survey was conducted about the use and consumption of several antibacterial agents in Moroccan broiler flocks. More than 5 million broilers were randomly surveyed at the prescriber level, that is, via the veterinary clinics involved in their health management. The results showed that 93% of the flocks received at least one antibacterial treatment of minimum 3 days duration. Enrofloxacin, colistin and trimethoprim/sulphonamides were the most used antibacterials followed by oxytetracycline, florfenicol and amoxicillin. Oxytetracycline, enrofloxacin and colistin were overdosed in most of the administration, while amoxicillin and the combination of trimethoprim/sulphonamides were under‐dosed. The total amount of antibacterial consumed in the survey was 63.48 mg/kg and the Animal Level of Exposure to Antimicrobials (ALEA) was 94.45%. The reasons for this frequent use were related mainly to the poor quality of broiler production management. Chicks and animal feed provided to producers were of variable quality. Management of rearing stock density was often poor and biosecurity inadequate, and broilers were challenged by a high prevalence of infectious diseases.
Dental, periodontal and salivary conditions in diabetic children associated with metabolic control variables and nutritional plan adherence.

AIM Diabetes mellitus is a chronic disease that has manifestations other than alterations in endocrine regulation or in metabolic pathways. Several diseases of the oral cavity have been associated with diabetes mellitus type 1 and 2 in young people according to their evolution. Scarce information exists regarding the role of diabetes and its association with the oral health status in paediatric diabetic patients. The aims of the study were to assess the quality of saliva, saliva acidogenicity, dental caries experience, fluorosis and periodontal status in diabetic patients and to evaluate their relationship with metabolic control variables and nutritional plan adherence. MATERIALS AND METHODS The study population consisted of 60 paediatric patients with both types of diabetes mellitus. Saliva testing included stimulated flow, pH (using pH indicator strips), buffer capacity and Snyder's Test. DMFT/dmft and dental caries experience were determined on the basis of ICDAS II codes. The periodontal status was assessed by PI and GI and fluorosis by FI. Nutritional plan adherence was established from the subscale "Dietary Control" of the Diabetes Self-Management Profile questionnaire. Medical Data was retrieved from the clinical registers in the Diabetic Clinic. RESULTS We describe the main characteristics of the oral cavity related variables of our population that might guide the clinical practice in similar settings; we found a dmft/DMFT of 1.71 ± 1.74 and 0.64 ± 1.03, PI of 1.91 ± 0.75, GI of 0.50 ± 0.56 and a fluorosis prevalence of 61%. We identified several correlated variables, which indicate strong associations between the nutritional habits of the patients and co-occurrence of oral cavity physiopathological alterations. Several correlations were found between acidogenic activity of the saliva (Snyder Test) and the percentage of adherence to the nutritional plan and to the dmft index. Furthermore, a significant correlation between the buffering capacity of the saliva and the glycemic control of the participants was found. Neither an association nor a difference among means was found between treatment regime and the plaque index. CONCLUSION The results of the present study concluded that there was a significant relationship between diabetes mellitus and an increased prevalence of oral cavity related diseases in the paediatric population. These are also associated with a poor adherence to the nutritional plan.
Low glycaemic index diet is effective in managing weight among obese postpartum women.

OBJECTIVE To determine the effect of low glycaemic index diet on weight loss among obese post-partum women. METHODS This randomised controlled trial study was conducted at the National Hospital and Medical Centre, and Services Hospital, Lahore, from April to June 2015, and comprised obese post-partum women. Subjects in the intervention group were assigned low glycaemic index diet for 12 weeks while the control group was advised to continue routine diet. SPSS 22 was used for data analysis. RESULTS Of the 74 participants, 38(51.4%) were in the interventional group and 36(48.6%) in the control group. The low glycaemic index diet had a significant effect on weight reduction in the intervention group compared to the control group (83.6±0.75 vs. 89.1±2) (p=0.02). Low glycaemic diet also had a positive impact on body mass index (p=0.02), body fat percentage (p=0.03) and fat mass (p=0.02). Significant changes were found in the intervention group after 12 weeks in terms of body mass index, body fat percentage, and fat mass, fat-free mass and muscle mass. On the other hand, no changes were established in the control group after 12 weeks of the study period. CONCLUSIONS Low glycaemic index diet was effective for reducing weight among obese post-partum women.
Maximum Causal Tsallis Entropy Imitation Learning

In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) framework for imitation learning which can efficiently learn a sparse multi-modal policy distribution from demonstrations. We provide the full mathematical analysis of the proposed framework. First, the optimal solution of an MCTE problem is shown to be a sparsemax distribution, whose supporting set can be adjusted. The proposed method has advantages over a softmax distribution in that it can exclude unnecessary actions by assigning zero probability. Second, we prove that an MCTE problem is equivalent to robust Bayes estimation in the sense of the Brier score. Third, we propose a maximum causal Tsallis entropy imitation learning (MCTEIL) algorithm with a sparse mixture density network (sparse MDN) by modeling mixture weights using a sparsemax distribution. In particular, we show that the causal Tsallis entropy of an MDN encourages exploration and efficient mixture utilization while Boltzmann Gibbs entropy is less effective. We validate the proposed method in two simulation studies and MCTEIL outperforms existing imitation learning methods in terms of average returns and learning multi-modal policies.
Perspectivas de análisis en los deportes de equipo: un caso práctico en baloncesto

Para establecer lineas de intervencion en el proceso de formacion y rendimiento deportivo, se requiere un analisis profundo de la naturaleza de cada especialidad. Numerosos estudios intentan conocer la estructura interna de los deportes colectivos desde una perspectiva general. Otros autores, sin embargo, plantean un analisis mas pormenorizado. El objetivo de este trabajo es describir y proponer nuevas opciones de intervencion y evaluacion de las capacidades condicionales. para el jugador en los deportes de equipo. Una vez caracterizado, genericamente, el esfuerzo en el jugador de baloncesto, pretendemos conocer las diferentes cualidades en relacion a un sujeto que percibe, procesa e interpreta datos, y no exclusivamente de un mero ejecutante. Cualquier proceso carece de operatividad si antes no se considera la teoria bajo la cual se ha orientado ( Sternberg 1987)
Body mass dependent use of hibernation: why not prolong the active season, if they can?

Summary 1. Hibernation is the most effective means for energy conservation during winter in mammals. The drawbacks of deep and prolonged torpor include reduced immunocompetence, and consequently, hibernators should be selected to minimize torpor expression when climatic conditions or energy availability (e.g. food or fat stores) permit. Therefore, it seems surprising that some hibernators employ extraordinary long hibernation seasons, lasting well beyond periods with unfavourable conditions. 2. Because of their extended use of torpor, edible dormice (Glis glis) provide an ideal model for scrutinizing interactions between energy reserves (i.e. body fat stores) and thermoregulatory patterns. We used a multimodel inference approach to analyse body temperature data (i.e. use of torpor) from 42 entire hibernation seasons over 4 years in females in relation to body mass. 3. Body mass prior to hibernation did not affect the duration of the hibernation season, but animals hibernated for c. 8 months, that is, 2 months longer than required by environmental conditions. Fatter individuals aroused significantly more often, had a higher mean minimum body temperature during torpor and remained euthermic for longer periods than leaner animals. 4. Surplus energy was therefore not used to shorten the hibernation season, but to rewarm more frequently, and to allow shallower torpor bouts. These adjustments apparently serve to avoid negative effects of torpor and, perhaps equally importantly, to minimize the time active above-ground. We argue that maintaining a short active season, despite surplus energy reserves, may be explained by known beneficial effects of hibernation on survival rates (via predator avoidance). 5. Our data provide quantitative evidence that hibernation is a flexible tool within life-history strategies. We conclude that, apart from energetic necessities due to harsh environmental conditions, predator avoidance may be an important factor influencing patterns of hibernation and torpor in mammals. Thus, our study indicates that climatic conditions alone are not a good predictor of hibernation patterns or survival in hibernating species during global climate change.