Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility and Prediction of Adverse Events in a Postoperative Monitoring Program of Patient-Reported Outcomes and a Wearable Device Among Gynecologic Oncology Patients

PURPOSE The objective of this study was to test the feasibility of implementing a postoperative monitoring program for women with gynecologic cancers composed of patient-reported outcomes (PROs) and a wearable activity monitor. METHODS We prospectively enrolled patients undergoing gynecologic cancer surgery to this single-arm study. Enrolled patients completed PROs (Patient-Reported Outcomes Measurement Information System physical function, sleep disturbance, anxiety, fatigue, and pain intensity) at baseline and one-week intervals for 4 weeks. They also wore a wearable accelerometer device that measured steps, heart rate, and intensity of physical activity. The primary outcome was feasibility. The secondary outcome was prediction of unscheduled contacts with the health care system on a given postoperative day. RESULTS We enrolled 34 women. Three patients were unevaluable. The mean age was 58 years. The mean body mass index was 31 kg/m2; 17 patients were White (54.8%), 12 patients were Black (38.7%), and two patients (6.5%) were Asian. The overall wear time was 83.8%, and patients responded to 80.4% of the PRO instruments. Twenty-two patients (71%) had an unscheduled contact with the health care system postoperatively (median 1.5, 0.0-8.0). The day of an unscheduled health care utilization event was predicted with acceptable discrimination (area under the receiver operating characteristic curve 0.75; 95% CI, 0.67 to 0.81). PROs of fatigue and physical function were most predictive followed by wearable device outputs of lightly active minutes and average daily heart rate. CONCLUSION Implementation of a postoperative monitoring program of patient-reported outcomes and a wearable device was feasible. The specific day of an unscheduled contact with the health care system was predicted with acceptable discrimination.
Pre- and Perinatal Risk Factors for Child Maltreatment in Military Families Across the First Two Years of Life

Military families are exposed to a unique constellation of risk factors, which may impact maltreatment outcomes. The present study examined prospective relationships between demographic, health, birth-related, and military-specific risk factors identified prior to a child’s birth on their risk for maltreatment in the first two years of life. Data from the Millennium Cohort Study, Department of Defense (DoD) operational records and Family Advocacy Program data on met-criteria maltreatment, and Birth and Infant Health Research program data on suspected maltreatment were linked for 9076 service member parents. Discrete time survival analysis showed that preterm birth increased risk of maltreatment while parents’ older age, physical health, and service in the Navy or Air Force decreased risk. Building on DoD’s New Parent Support Program, findings suggest the need for universal and targeted prevention efforts, beginning during pregnancy, which limit or eliminate risk factors for maltreatment in military families.
An online Trier social stress paradigm to evoke affective and cardiovascular responses.

In response to the COVID-19 pandemic, prior studies have modified the Trier Social Stress Test to be conducted remotely. The current study aimed to extend these studies to test whether a remote Trier Social Stress Test (rTSST) can elicit (a) affective, (b) blood pressure, and (c) heart rate responses relative to a control condition and whether these responses were reliable when assessed 1 week later. Participants (N = 99, 19.7 ± 3.5 years, 55% female) were randomized to a control or stress condition. Participants received blood pressure monitors in person. Controls completed easier versions of the tasks with a single, friendly researcher. Stress participants performed more difficult versions of the task in front of two judges who participants believed were rating their performance. Blood pressure and heart rate were measured every 2 min throughout, while affect was assessed at baseline, after the final task, and following recovery. The rTSST was feasible to administer with minimal technical issues reported. Participants reported lower positive affect and higher negative affect during the tasks in the stress condition relative to controls. Similarly, stress participants had higher cardiovascular responses during the tasks relative to controls, except that blood pressure was not elevated during mental arithmetic in stress participants relative to controls. Cardiovascular responses demonstrated good test-retest reliability when assessed 1 week later, especially when computed using area under the curve methods. Overall, a rTSST can be used to elicit affective and cardiovascular reactivity and provides an opportunity to increase the accessibility of research participation among diverse populations.
Active tendon control of suspension bridges

The paper first reviews the theory of active tendon control with decentralized Integral Force Feedback (IFF) and collocated displacement actuator and force sensor; a formal proof of the formula giving the maximum achievable damping is provided for the first time. Next, the potential of the control strategy for the control of suspension bridges with active stay cables is evaluated on a numerical model of an existing footbridge; several configurations are investigated where the active cables connect the pylon to the deck or the deck to the catenary. The analysis confirms that it is possible to provide a set of targeted modes with a considerable amount of damping, reaching ξ = 15% . Finally, the control strategy is demonstrated experimentally on a laboratory mock-up equipped with four control stay cables equipped with piezoelectric actuators. The experimental results confirm the excellent performance and robustness of the control system and the very good agreement with the predictions.
The 25-Item Ontario Child Health Study Emotional Behavioural Scales-Brief Version (OCHS-EBS-B): Test-Retest Reliability and Construct Validity When Used as Categorical Measures

Objective Child and youth mental health problems are often assessed by parent self-completed checklists that produce dimensional scale scores. When converted to binary ratings of disorder, little is known about their psychometric properties in relation to classifications based on lay-administered structured diagnostic interviews. In addition to estimating agreement, our objective is to test for statistical equivalence in the test-retest reliability and construct validity of two instruments used to classify child emotional, behavioural, and attentional disorders: the 25-item, parent completed Ontario Child Health Study Emotional Behavioural Scales-Brief Version (OCHS-EBS-B) and the Mini International Neuropsychiatric Interview for Children and Adolescents-parent version (MINI-KID-P). Methods This study draws on independent samples (n = 452) and uses the confidence interval approach to test for statistical equivalence. Reliability is based on kappa (κ). Construct validity is based on standardized beta coefficients (β) estimated in structural equation models. Results The average differences between the MINI-KID-P and OCHS-EBS-B in κ and β were −0.022 and −0.020, respectively. However, in both instances, criteria for statistical equivalence were met in only 5 of 12 comparisons. Based on κ, between-instrument agreement on the classifications of disorder went from 0.481 (attentional disorder) to 0.721 (emotional disorder) but were substantially higher (0.731 to 0.895, respectively) when corrected for attenuation due to measurement error. Conclusions Although falling short of equivalence, the results suggest on balance that the reliability and validity of the two instruments for classifying child psychiatric disorder assessed by parents are highly comparable. This conclusion is supported by the high levels of agreement between the instruments after correcting for attenuation due to measurement error.
Antibacterial activity of colloidal copper nanoparticles against Gram‐negative (Escherichia coli and Proteus vulgaris) bacteria

Antibacterial activities of as‐synthesized nanoparticles have gained attention in past few years due to rapid phylogenesis of pathogens developing multi‐drug resistance (MDR). Antibacterial activity of copper nanoparticles (CuNPs) on surrogate pathogenic Gram‐negative bacteria Escherichia coli (MTCC no. 739) and Proteus vulgaris (MTCC no. 426) was evaluated under culture conditions. Three sets of colloidal CuNPs were synthesized by chemical reduction method with per batch yield of 0·2, 0·3 and 0·4 g. As‐synthesized CuNPs possess identical plasmonic properties and have similar hydrodynamic particle sizes (11–14 nm). Antibacterial activities of CuNPs were evaluated by minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) tests, cytoplasmic leakage and reactive oxygen species (ROS) assays. MIC and MBC tests revealed dose dependence bactericidal action. Growth curves of E. coli show faster growth inhibition along with higher cytoplasmic leakage than that of P. vulgaris. This might be because of increased membrane permeability of E. coli. CuNP–microorganism interaction induces oxidative stress generated by ROS. Leakage of cytoplasmic components, loss of membrane permeability and ROS generation are the primary causes of CuNP‐induced bacterial cell death. As‐synthesized CuNPs exhibiting promising antibacterial activities and could be a promising candidate for novel antibacterial agents.
Modeling and Analysis of Different Control Techniques of Electric Motor for Electric Vehicle Powertrains

Abstract Electric Motors (EMs) and their control methods play an essential role in the development of energy-efficient drivetrains, particularly electric vehicle (EV) powertrains. It should be pointed out that the electric motors and their control methods are one of the key aspects in all EV propulsion systems. Thus, in this article, different motor control methods (i.e. Indirect Field-Oriented Control (IFOC), Hybrid IFOC and PWM voltage scheme, IFOC based on SVPWM, Direct Torque Control (DTC), and DTC based on SVPWM) are designed and investigated in detail by using Matlab/Simulink. This article also presents the dynamic modeling of electric motor taking into account its core losses. Based on the developed loss model, the IFOC based on PWM voltage and PSO is proposed to enhance the motor efficiency especially at low load conditions. A comparative study of these motor control methods is provided in this paper in order to select the proper motor control strategy. The obtained results have demonstrated that the proposed PSO algorithm significantly minimizes the motor losses at any operating condition by selecting the optimal flux level. The simulation and experimental results are provided and discussed.
Investigation on Some Bacterial and Fungal Causes Respiratory Infections in Egyptian Buffalloes By

on Some Bacterial and Fungal Causes Abstract: Respiratory microbial infections were a major health problems of Egyptian buffaloes and had economic looses in meat and milk production. That caused pneumonia leading to morbidity and mortality in intensive rearing system. The aim was to study some investigations on some bacterial and fungal causes respiratory infections in Egyptian buffalloes. That were by isolation and identification to detect molecularity and antibiogram sensitivities. The methodology were included samples collection, microbial isolation and identification, antibiogram technique, DNA extraction and PCR amplification protocol for microorganisms. in the present study was conducted to examine 100 nasal swabs of buffalos (1_5 years) reared on private farms at El Dakahlia Governorate showing symptoms of depression, reduced the feed intake, respiratory problems_ dyspnea with or without nasal discharge and pneumonia also 50 mouth swabs collected from mucous discharge of buffalos suffering from cough and sneezing. isolated in percentage nasal respectively from mouth gentamicin, streptomycin, and trimethoprim-sulfamethoxazole. Staph. aureus were sensitive to enrofloxacin, and spectinomycin, had MDR to amoxicillin, ciprofloxacin, gentamicin, streptomycin, trimethoprim-sulfamethoxazole, and chloramphenicol. A. fumigatus was sensitive to fluconazole, ketoconazole, nystatin, and amphotericin B, had MDR to clotrimazole. A. flavus were sensitive to fluconazole, ketoconazole, and nystatin, had MDR to clotrimazole, and amphotericin B. , The PCR using the KMT1 gene confirmed P. multocida isolates, developed specific 457 bp molecular size bands. The 16s rRNA gene confirmed E. coli isolates, developed specific 662 bp molecular size bands. The Coagulase gene confirmed Staph. aureus isolates, developed specific 600-1000 bp molecular size bands. The Asphs gene confirmed A. fumigatus isolates, developed specific 180 bp molecular size bands. The aflR1 gene confirmed A. flavus isolates, developed specific 798 bp molecular size bands. It was concluded that the microbial respiratory infection affected farm health. It was recommended for taken animal health precaution for protection from respiratory microbial infection for safe farm health.
Design and implementation of a music recommendation model through social media analytics

With the rapid spread of smartphones, it has become common to listen to music everywhere, just like background music in life, so it is necessary to create a music database that can make recommendations according to individual circumstances and conditions. This paper proposes a music recommendation model through social media. Since emotions, situations, time of day, weather, etc. are included in hashtags, it is possible to build a social media-based database that reflects the opinions of various people with collective intelligence. We use web crawling to collect and categorize different hashtags from posts with music title hashtags to use real listeners' opinions about music in a database. Data from social media is used to create a music database, and music is classified in a different way from collaborative filtering, which is mainly used by existing music platforms
Pressure Induce Variations in the Lattice Constant and Energy Gap of SrThO 3.

SrThO 3 belong to stable perovskites family. Some theoretical works have been performed on this compound. However, the pressure effect in the pressure range 0 to 30 GPa was never conducted. This work highlights the importance of the hydrostatic compression on the lattice constant and energy bandgap of the compound. Lattice parameter is found to decrease with increasing pressure. SrThO 3 comes out as a direct band gap material. We discussed the effect of pressure on the energy band gap and got to know that overall energy band gap decreases as pressure increases. Finally, we discussed the density of states of SrThO 3 and plotted it against energy.
Newly recorded genera and species, Pantanalinema rosaneae and Alkalinema pantanalense (Leptolyngbyaceae, Cyanobacteria) isolated in Korea

Two strains of cyanobacteria were isolated from the soil of Seodaemun-gu, Seoul and from the gravel of the Ansung Stream, Gyeonggi Province, Korea, respectively. They were identified as Pantanalinema rosaneae and Alkalinema pantanalense under the Leptolyngbyaceae through the morphological, ecological, and molecular analyses and first reported in Korea. Belonging to the Leptolyngbya morphotypes, they are thin filamentous cyanobacteria and morphologically indistinguishable cryptic species. The strains of P. rosaneae and A. pantanalense isolated in Korea revealed the same cluster as their type species in the phylogenetic analysis using the 16S rRNA gene sequences, and similarities in the secondary structures of 16S - 23S ITS sequences. Although both P. rosaneae and A. pantanalense were collected from water samples in the Pantanal wetland of Brazil, the P. rosaneae obtained in Korea, was soil-dwelling subaerophytic species whereas A. pantanalense was epilithic species living on gravel in the freshwater. Therefore, they are considered to have an extensive habitat.
Construction Industry from Perspective of Force Majeure and Environmental Risk Compared to the COVID-19 Outbreak: A Systematic Literature Review

: The COVID-19 pandemic represents a type of force majeure that signiﬁcantly and unex-pectedly affected all human lifestyles. This study includes an integrative review of articles published across Scopus and Web of Science journals and compiled using the systematic review methodology based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement and VOSreview (visualization of similarities) software by deﬁning keywords that include “construction industry” and “force majeure” and “environmental risks” as a starting point. Moreover, the research years and the countries covered by this research were determined in a second stage. Finally, the abstracts of selected studies were reviewed in order to extract factors similar to the pandemic conditions of COVID-19 along with the brief results of the research. Out of 6384 publications identiﬁed and 56 publications reporting, 20 studies fulﬁlled the inclusion criteria with full text. Based on our ﬁndings, there has been a continuous growth of publications on construction risk and environmental research since 2010. Malaysia had the greatest contribution to the research topic of the countries covered by the study, followed by Egypt. The Engineering, Construction and Architectural Management journal published the greatest number of publications related to the research topic. In this review, the most important previous studies are classiﬁed according to their handling of force majeure and environmental risks and the most important factors mentioned in these studies are identiﬁed. In addition, recommendations are made for dealing with the COVID-19 pandemic and for mitigating its effects on the construction industry in the Arab world and Malaysia. The results of this review will beneﬁt researchers and construction companies alike in furthering research on reducing the risks of COVID-19 to construction projects and avoiding the signiﬁcant economic loss that results from stopping these projects.
Data Volume based Trust Metric for Blockchain Networks

With the appearance of Bitcoin that builds peer-to-peer networks for transaction of digital content and issuance of cryptocurrency, lots of blockchain networks have been developed to improve transaction performance. Recently, Joseph Lubin discussed Decentralization Transaction per Second (DTPS) against alleviating the value of biased TPS. However, this Lubin’s trust model did not enough consider a security issue in scalability trilemma. Accordingly, we proposed a trust metric based on blockchain size, stale block rate, and average block size, using a sigmoid function and convex optimization. Via numerical analysis, we presented the optimal blockchain size of popular blockchain networks and then compared the proposed trust metric with the Lubin’s trust model. Besides
Utilizing Sensitivity and Correlation Coefficients from MCNP and Whisper to Guide Microreactor Experiment Design

Abstract When designing experiments for full-scale reactor systems, the Monte Carlo N-Particle® and Whisper codes can be used to create neutronic models and compare the similarity of two nuclear systems via correlation coefficients for , the effective multiplication factor. This paper applies this framework to a conceptual heat pipe yttrium-hydride-moderated microreactor system and experiments, but the method can be applied generally to any nuclear reactor design. The framework is intended as a supplement to other neutronics/thermal/multiphysics analyses and provides an objective method to measure the neutronic similarity of two systems. By analyzing the shared nuclear data uncertainty, as well as sensitivity to nuclear data over all neutron energies, highly informative experiments can be designed to aid in the development of microreactor and other advanced reactor technologies and systems.
Recommendations for Crowdsourcing Services Based on Mobile Scenarios and User Trajectory Awareness

With the rapid development of the mobile internet and the rapid popularization of smart terminal devices, types and content of services are changing with each passing day, these bring serious mobile information overload problems for mobile users. How to provide better service recommendations for users is an urgent problem to be solved. A crowdsourcing service recommendation strategy for mobile scenarios and user trajectory awareness is proposed. First, the location coordinates in the historical log are clustered into regions by clustering algorithms, and then the user's trajectory patterns are mined in different mobile scenarios to extract mobile rules. Furthermore, the mobile rules are extracted and the scenario to which each rule belongs is judged. When performing crowdsourcing service recommendation, the location trajectory and mobile scenario information are perceived in real time, they are used to predict the location area where the user will soon arrive, thereby the crowdsourcing service in the area is pushed to the user.
Detection Mechanism Using Transductive Learning and Support Vectors for Software-Defined Networks

SDN has come up as a promising technology for a future network as a logically centralized controlled framework along with its physically distributed architecture isolating the control plane from sending data moving the entire choice capacity to the regulator. SDNs are turning out to be significant because of scalability, adaptability and testing. As SDN needs overhead for operation, it makes it as a target of Distributed Denial of service (DDoS) attacks. The extensive review in the existing literature survey provides results for small footprint of dataset causing over fitting of the classifier. In the survey it is also been observed that the KNN based algorithms to detect DDOS attacks are lazy learners resulting in the noisy data. This paper proposes a Dual Probability Transductive Confidence Machines and Support Vector Machine (DPTCM-SVM) classifier to avoid the over-fitting for detecting DDoS in SDN. The results generated for detection are more than 98% for all the attack classes making it an Eager Learning System which requires less learning space unlike the Lazy Learning Systems.
Expanding the Phenotype of B3GALNT2-Related Disorders

Dystroglycanopathies are a group of congenital muscular dystrophies (CMDs) that include a broad phenotypic spectrum ranging from late-onset limb-girdle muscular dystrophy to severe muscle–eye–brain disease, Walker–Warburg syndrome, and Fukuyama congenital muscular dystrophy. In addition to clinical heterogeneity, CMDs are characterized by genetic heterogeneity. To date, 18 genes have been associated with CMDs. One of them is B3GALNT2, which encodes the β-1,3-N-acetylgalactosaminyltransferase 2 that glycosylates α-dystroglycan. In this study, using exome sequencing, we identify a homozygous frameshift variant in B3GALNT2 due to a mixed uniparental disomy of chromosome 1 in a 7-year-old girl with global developmental delay, severely delayed active language development, and autism spectrum disorder but without any symptoms of muscular dystrophy. In addition to this case, we also provide an overview of all previously reported cases, further expanding the phenotypic spectrum.