Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex Differences in Performance and Depth of Field in the United States Olympic Trials

Abstract Jobe, TK, Shaffer, HN, Doci, CL, and Gries, KJ. Sex differences in performance and depth of field in the United States Olympic trials. J Strength Cond Res 36(11): 3122–3129, 2022—Recently, there has been an increased discussion on the role of sex as a variable in human performance. Although there likely remains sociological factors, we can estimate biological sex differences in human performance by comparing finishing times in elite men and women. We sought to determine the effect of sex on running and swimming velocity and depth of field in events of varying lengths in the previous 25 years. Finishing times from United States Olympic trials in running events (100 m to marathon) and freestyle swimming (50–1,500 m) from 1996 to 2021 were collected. Sex differences in velocity were calculated for each year (trends), place (first through seventh), and depth of field (nth place/first place). Significance was set at p ≤ 0.05. Men were 9–13% faster than women in all running events (p ≤ 0.05). The 100-m dash (9%) had the lowest sex difference compared with races of longer distance (p ≤ 0.05). In swimming, men were faster in all events (6–12%, p ≤ 0.05), in which sex differences generally decreased with longer distances. Depth of field was similar between men and women in all running and swimming events. No differences in the analyzed variables were observed from 1996 to 2021. These data suggest that elite men are 9% faster in the 100 m compared with running races of longer distances (~12%). Sex differences in swimmers tended to get smaller as duration increased. Although participation and other sociological factors in these events may play a role, these sex differences warrant further discussion on the role of sex in athletic competition.
Adolescents with attention deficit hyperactivity disorder and exposure to violence: parents' opinion1

Objective: to identify the opinion of parents or guardians of adolescents diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) about their children's exposure as perpetrators or victims of violence situations in family life or outside. Method: qualitative study with use of thematic oral history. Nine parents of 07 adolescents with ADHD participated. Data were collected from April to September of 2013 using thematic interview. The interviews were recorded at scheduled times at the participants' home, with an average duration of 30 minutes. The findings were submitted to inductive thematic analysis. Results: data analysis allowed the identification of the occurrence of "Conflicts in family life" and "Conflicts in the context of school and community". Parents reported the involvement of their children as victims, perpetrators and witnesses of physical and psychological violence, and the difficulty of them and the school to understand and handle these situations. Conclusion: violence occurs in ADHD adolescents' interpersonal relationships. Communication between health professionals, school and families is precarious. Through the systematization of nursing care, nurses can plan strategies that articulate support networks and interpersonal relationships of adolescents with the disorder (family and school).
The Effect of Self-Efficacy and Job Satisfaction on Employee Performance in Employees Education and Culture Office South Coast District

The performance of employees in the Government is one of the determining factors in efforts to improve the quality of services to the community, it is necessary to give serious attention from various parties. This study aims to determine the effect of self-efficacy and job satisfaction on employee performance. The population of this study were employees in the Pesisir Selatan Regency Education and Culture Office as 60 people. The sample in this study was 60 people with the sampling technique used was saturated sampling. Therefore, the data analysis is the statistical analysis in the form of multiple linear regression tests. These results indicate that the variable self efficacy has a positive and significant effect on employee performance and variable job satisfaction has a positive and significant effect on employee performance
Chemical composition and digestion of shurbs browsed by white-tailed deer (odocoileus virginianus texanus)

The aim of the study was to determine, seasonally, the nutritional value of the native shrubs: Acacia amentacea, Castela erecta, Celtis pallida, Croton cortesianus, Forestiera angustifolia, Karwinskia humboldtiana, Lantana macropoda, Leucophyllum frutescens, Prosopis laevigata, Syderoxylon celastrinum and Zanthoxylum fagara. Leave samples were collected seasonally during 2 years from Summer 2004 to Spring 2006 in three county sites: China, Linares and Los Ramones in the state Nuevo Leon, Mexico and evaluated for the content of their Crude Protein (CP), Neutral Detergent Fiber (NDF) and Acid Detergent Lignin (ADL). Dry Matter Digestibility (DMD) was also estimated. The CP content (range of total means = 13-22% dry matter) in most plants significantly varied among sites and seasons and between years. The same pattern occurred for NDF (40-55), ADL (8-22) and DMD (48-73). Celtis pallida had the highest nutritional value. However, due to their high CP and DMD and low NDF and ADL all studied plants in all sites, most seasons and years may be considered as good food sources for white-tailed deer.
On the Vision-Beam Aided Tracking for Wireless 5G-Beyond Networks Using Long Short-Term Memory with Soft Attention Mechanism

The growth of 5G technology and the continuous success of deep learning for various computer vision tasks in healthcare, self-driving cars, visual recognition, and many other areas, brought new challenges in the field of wireless communication. Moreover, 5G-Beyond networks primarily rely on how to maintain line-of-sight (LOS) links between base stations and mobile users. As such, one of the main challenges in 5G-Beyond networks is how to proactively maintain the hand-over mechanism for mobile users before blockages prevent mobile users from communicating, so as to avoid the latency of searching the best beamforming for the best performance. Accordingly, vision-aided millimeter-wave (mmWave) beam and blockage prediction has opened the door for new research for proactive hand-off and resource allocation. The purpose of this paper is to study wireless beam tracking on mmWave bands using deep learning approach evaluated on the Vision-Wireless ViWi-BT dataset [1]. We present how to predict future beam sequences from previously observed beam sequences and images using a long short-term memory (LSTM) network as a base predictive method. As such, we utilize the soft attention mechanism to intelligently choose the most important features and thus we suggest replacing the softmax attention function with different periodic attention functions to eliminate the gradient vanishing problem.
Creative Behaviour in Evolving Agents

Computational creativity is a field of research that is primarily focused on music composition, art and linguistics. However, research pertaining to computational creative behaviour is sparse. There is no clear, established methodology when it comes to making agents behave creatively, or how to apply machine learning techniques to make them do so. Using Evolutionary Algorithms (EAs), agents were evolved using different modular parts. The parts were several sensors and actuators that the agents used to solve tasks given to them. Their behaviour was determined by three different Artificial Intelligence (AI) methods. This thesis looks into how these three AI methods, namely Continuous Time Recurrent Neural Network (CTRNN), Fuzzy Logic, and NeuroEvolution of Augmenting Topologies (NEAT), performed when evolving behaviour in the evolving agents. In order to investigate this, a system capable of evolving and visualising agents in different environments was developed. The results of using these methods show few signs of the evolution of creative behaviour. Instead, the agents simply evolved to solve a given task. However, some unexpected actions can arguably be considered creative. This thesis contains the following contributions: A study of how different AI methods perform when evolving creatures to behave creatively, and an implemented system that evolves creatures in different environments using the three AI methods mentioned above.
From the smart city to urban justice in a digital age

The smart city is the most emblematic contemporary expression of the fusion of urbanism and digital technologies. Critical urban scholars are now increasingly likely to highlight the injustices that are created and exacerbated by emerging smart city initiatives and to diagnose the way that these projects remake urban space and urban policy in unjust ways. Despite this, there has not yet been a comprehensive and systematic analysis of the concept of justice in the smart city literature. To fill this gap and strengthen the smart city critique, we draw on the tripartite approach to justice developed by philosopher Nancy Fraser, which is focused on redistribution, recognition, and representation. We use this framework to outline key themes and identify gaps in existing critiques of the smart city, and to emphasize the importance of transformational approaches to justice that take shifts in governance seriously. In reformulating and expanding the existing critiques of the smart city, we argue for shifting the discussion away from the smart city as such. Rather than searching for an alternative smart city, we argue that critical scholars should focus on broader questions of urban justice in a digital age.
Evaluation of Kidneys’ Functional State in Acute Lymphoblastic Leukemia Patients Following Hematopoietic Stem Cell Transplantation

BACKGROUND: Hematopoietic Stem Cell Transplantation (HSCT) has recently been a widely used method of therapy in various fields of current medicine, particularly in hematology.Some patients develop renal disorders following HSCT. AIM: This study aims to evaluate the dynamics of changes in the functional state of the kidneys in patients with ALL after HSCT. METHODS: In the period from 2015 to 2021, for the first time in Kazakhstan, patients with acute lymphoblastic leukemia (ALL) who underwent allogeneic and haploidentical HSCT were prospectively examined. RESULTS: We determined that the greatest decrease in glomerular filtration rate occurred in the group of patients who underwent haploidentical bone marrow transplantation. Moreover, we believe that our results are related to known contributing risk factors, such as the type of performed transplantation and the duration of taking medications for the prevention of graft versus host disease. Our results also indicate that the lethal outcome in the group with haploidentical HSCT in the studied patients with ALL was greater than in the group with allogeneic HSCT. CONCLUSION: In conclusion, a decrease in kidney function in patients who have survived HSCT is probably a common complication; however, further prospective studies are required to confirm these results to develop additional algorithms for the treatment and prevention of renal disorders in patients with acute leukemia after HSCT.
Automatic compact camera module solder joint inspection method based on machine vision

Because of the contradiction between the production requirements of compact camera modules (CCMs) to achieve high efficiency and quality and the low efficiency and poor accuracy of traditional solder joint inspection methods, an automatic inspection method of CCM solder joint based on machine vision is proposed. After optimizing the imaging parameters according to the CCM inspection process, the region of interest is dynamically identified based on feature matching and image enhancement methods to remove background interference. On this basis, an improved adaptive particle swarm optimization is used to optimize the kernel extreme learning machine to automatically classify the solder joint defects. Experimental results showed that with its low latency, high precision and robustness, the CCM surface solder joint defect detection and classification method based on machine vision can effectively solve the problem of low efficiency and high cost of the current CCM solder joint defect detection technology.
Lack of Direct Correlation between Biofilm Formation and Antimicrobial Resistance in Clinical Staphylococcus epidermidis Isolates from an Italian Hospital

Staphylococcus epidermidis is an opportunistic pathogen and a frequent cause of nosocomial infections. In this work, we show that, among 51 S. epidermidis isolates from an Italian hospital, only a minority displayed biofilm formation, regardless of their isolation source (peripheral blood, catheter, or skin wounds); however, among the biofilm-producing isolates, those from catheters were the most efficient in biofilm formation. Interestingly, most isolates including strong biofilm producers displayed production levels of PIA (polysaccharide intercellular adhesin), the main S. epidermidis extracellular polysaccharide, similar to reference S. epidermidis strains classified as non-biofilm formers, and much lower than those classified as intermediate or high biofilm formers, possibly suggesting that high levels of PIA production do not confer a particular advantage for clinical isolates. Finally, while for the reference S. epidermidis strains the biofilm production clearly correlated with the decreased sensitivity to antibiotics, in particular, protein synthesis inhibitors, in our clinical isolates, such positive correlation was limited to tetracycline. In contrast, we observed an inverse correlation between biofilm formation and the minimal inhibitory concentrations for levofloxacin and teicoplanin. In addition, in growth conditions favoring PIA production, the biofilm-forming isolates showed increased sensitivity to daptomycin, clindamycin, and erythromycin, with increased tolerance to the trimethoprim/sulfamethoxazole association. The lack of direct correlation between the biofilm production and increased tolerance to antibiotics in S. epidermidis isolates from a clinical setting would suggest, at least for some antimicrobials, the possible existence of a trade-off between the production of biofilm determinants and antibiotic resistance.
Event-Trigger Heterogeneous Nonlinear Filter for Wide-Area Measurement Systems in Power Grid

The development of distributed generation raises high requirement on accurate real-time state estimation with phasor measurement unit (PMU) for wide-area measurement systems (WAMSs). Although the particle filter is among the best in estimation performance, its computation burden is truly heavy toward smart sensors of current generation. Besides, the infrastructure for PMU data communication is confronted with the challenges of the amount of data boosted by the high sampling frequency of PMUs and booming grid size. This paper proposes an event-trigger heterogeneous nonlinear filter (ET-HNF) to solve these problems. A master–slave nonlinear filtering structure is designed for WAMS by taking full advantage of computation power both at generator node and estimation center. The local slave filter is established at generator node to perform the event-trigger strategy based on low computational unscented transformation. Moreover, a Monte Carlo-based filter served as the master, which improves estimation center’s filtering performance by cooperating with the center slave. Simulation results verify the feasibility and performance of ET-HNF using the standard IEEE 39-bus system with PMUs.
Recurrence rates after endoscopic resection of large colorectal polyps: A systematic review and meta-analysis

BACKGROUND Complete polyp resection is the main goal of endoscopic removal of large colonic polyps. Resection techniques have evolved in recent years and endoscopic submucosal dissection (ESD), endoscopic mucosal resection (EMR) with margin ablation, cold snare polypectomy (CSP), cold EMR, and underwater EMR have been introduced. Yet, efficacy of these techniques with regard to local recurrence rates (LRRs) vs traditional hot snare polypectomy and standard EMR remains unclear. AIM To analyze LRR of large colonic polyps in a systematic review and meta-analysis. METHODS MEDLINE, EMBASE, EBM Reviews, and CINAHL were searched for prospective studies reporting LRR or incomplete resection rate (IRR) after colonic polypectomy of polyps ≥ 10 mm, published between January 2011 and July 2021. Primary outcome was LRR for polyps ≥ 10 mm. RESULTS Six thousand nine hundred and twenty-eight publications were identified, of which 34 prospective studies were included. LRR for polyps ≥ 10 mm at up to 12 mo’ follow-up was 11.0% (95%CI, 7.1%-14.8%; 15 studies; 4904 polyps). ESD (1.7%; 95%CI, 0%-3.4%; 3 studies, 221 polyps) and endoscopic mucosal resection with margin ablation (3.3%; 95%CI, 2.2%-4.5%; 2 studies, 947 polyps) significantly reduced LRR vs standard EMR without (15.2%; 95%CI, 12.5%-18.0%; 4 studies, 650 polyps) or with unsystematic margin ablation (16.5%; 95%CI, 15.2%-17.8%; 6 studies, 3031 polyps). CONCLUSION LRR is significantly lower after ESD or EMR with routine margin ablation; thus, these techniques should be considered standard for endoscopic removal of large colorectal polyps. Other techniques, such as CSP, cold EMR, and underwater EMR require further evaluation in prospective studies before their routine implementation in clinical practice can be recommended.
Laboratory and Clinical Predictors for Gestational Diabetes Mellitus among Kosovo Pregnant Women

BACKGROUND: Gestational diabetes mellitus (GDM) is a condition increasing yearly worldwide. AIM: We investigated the prevalence and the arrangement of common risk predictors for developing GDM among Kosova pregnant women after 24 gestational weeks. MATERIALS AND METHODS: A total of 202 hospitalized pregnant women participated in this prospective study. All participants underwent a detailed clinical examination for risk factors for GDM, followed by appropriate biochemical blood analysis and anthropometric measurements. The glucose tolerance test results were interpreted according to the criteria established by the World Health Organization (WHO) and American Diabetes Association. Participants in the first part of the study were divided into the four risk groups and in the second part GDM group (case group) or a normal glucose tolerance group (control group) to determine the risk factors for GDM and associated clinical and biochemical predictors. RESULTS: The prevalence of gestational diabetes was 5.9%. The average age was 30.0 ± 5.5. Main characteristics of high-risk group of women for GDM were: ages above 30-year-old (p = 0.001), positive glucose intolerance (p = 0.0001), personal history for GDM (p = 0.0001), familiar history for DM (p = 0.0001), obesity (p = 0.0001), previous childbirth with weight higher than 4000 g (p = 0.0001), vulvovaginal infection (p = 0.0001), and polyhydramnios (p = 0.0001). Almost the same characteristics were found also for the GDM group: Like personal history for GDM (p = 0.0018), and family history for DM (p = 0.0018). Moreover, the group with GDM was characterized with significantly higher laboratory parameters such as fasting glycemia (p = 0.0000), triglycerides, and cholesterol concentrations (p = 0.0001). Anthropometric measurements such as weight (p = 0.002), body mass index (p = 0.0015), and systolic (p = 0.0163) and diastolic (p = 0.042) blood pressure were also significantly higher than the control group. CONCLUSIONS: Older age, family history of diabetes and personal history for GDM, polyhydramnios, stillbirth >4000 g, were significant risk factors for GDM. Screening for risk factors can easily bring at GDM early diagnosis and prevention. Public awareness-raising on the risk factors for GDM and the need for early screening should be strongly pursued, particularly for the women at risk for GDM, especially in developing countries. At every level of health service, GDM screening to pregnant women should be incorporated as a routine antenatal visit.
Application of fuzzy control in the evaporation stage of a first- and second-generation sugarcane ethanol biorefinery

Abstract Sugarcane bagasse is a cheap feedstock for one of the most significant biofuel technologies currently being developed: second-generation ethanol (E2G). Most studies regarding E2G production investigate ways to improve the efficiency of this technology. However, studies about its control are still very sparse. In this work, we tried to partially fulfill this gap, addressing the control of a multiple-effect evaporation system of a sugarcane biorefinery. A feedforward fuzzy controller was proposed with membership functions based on a dynamic phenomenological model developed in Environment for Modeling, Simulation, and Optimization (EMSO). This software was also used to carry out simulations to evaluate the disturbance rejection performance. Inference tools based on neural networks and proportional–integral (PI) controllers were also proposed as support to the Fuzzy control system. The tests showed that the Fuzzy scheme outperformed traditional proportional–integral–-derivative (PID) controllers, settling on average 66% faster with a 72% reduction of integral time absolute error (ITAE).
Prevalence of respiratory bacterial pathogens and associated management factors in dairy calves in Taiwan

This study aimed to investigate the prevalence at both farm-level and calf-level and to identify the risk factors of respiratory bacterial pathogens in dairy calves in Taiwan. The status of bovine respiratory disease (BRD) was evaluated by using the Wisconsin scoring system from a total of 400 pre-weaned calves from 32 different farms in Taiwan, then the nasopharyngeal swabs were collected. The prevalence of respiratory pathogens was 84.37% at farm-level and 45.50% at calf-level, and Pasteurella multocida (P. multocida) was the most prevalent pathogen. The presence of Mycoplasma bovis (M. bovis), P. multocida, Mannheimia haemolytica (M. haemolytica) and Histophilus somni (H. somni) were all higher in BRD positive calves than BRD negative calves, but only in H. somni was significant (P<0.001). Then nine farm management risk factors were analyzed by using multivariate logistic regression models to determine the risk factors of respiratory bacterial pathogens (farm and calf-level). In the result at farm-level, only unheated colostrum was significantly associated with pathogen positive farms (Odds Ratio (OR)=11.43). At calf-level, the predominant risk factor for each pathogen, M. bovis, P. multocida, M. haemolytica and H. somni, was late first colostrum feeding (OR=272.82), unheated colostrum (OR=3.41), waste milk feeding (OR=6.59) and high pneumonia treatment cost (OR=2.52), respectively. For effective preventive measures, farmer education on milk and colostrum feeding are urgently warranted.