Miracle-dz/UniFAR-FTUs huggingface dataset:
ACUTE LYMPHOBLASTIC LEUKEMIA; CHROMOSOMAL ABNORMALITIES IN CHILDHOOD REPORTING AT A TERTIARY CARE HOSPITAL OF SINDH

Objectives: The aim of the present study is to evaluate the frequency of chromosomal abnormalities in childhood acute lymphoblastic leukemia at a tertiary care hospital of Sindh. Study design: Observation study. Place of study: Isra University Hospital, Hyderabad and Oncology Unit Liaquat University of Medical and Health Sciences, Jamshoro. Duration of study: From January 2014 to March 2015. Materials and Methods: Cytogenetic analysis was conducted on peripheral blood and bone marrow samples of 100 diagnosed cases of acute lymphoblastic leukemia (ALL). Peripheral blood and bone marrow samples were collected and putted into sodium heparinized bottles. Cytogenetic analysis was performed by karyotyping according to the ISCN guidelines for human cytogenetic nomenclature using cytovision-+ system for image analysis. Data was analyzed on statistic 8.1 USA and expressed as means, percentage and chi-square with P-value of ≤ 0.05 being defined significant. Results: Chromosomal abnormalities were found in 53% of the ALL cases. Numerical abnormalities were found in 71% whereas 35% cases showed structural abnormalities. 29% cases of ALL showed diploidy and aneuploidy was found in 69% of cases and 2% cases were unknown. Highest number of patients 51% showed hyperploidy followed by 12% cases of hypoploidy and 6% showed pseudoploidy. Chromosomal translocations t(9; 22) (q34; q11) and t(8; 22) (q24; q11) were noted in 6% each and t(8; 14) (q22; q32) were seen in 5% of the cases of childhood ALL. Conclusion: The present study reports chromosomal abnormalities in 53% of cases. Numerical abnormalities were found in 71% whereas 35% cases showed structural abnormalities.
Seasonal variations of arrhythmias and their impact on mortality in cancer patients with health disparities: A propensity score adjusted machine learning analysis of over 100 million hospitalizations across 3 years

Seasonal Variations of Arrhythmias and Their Impact on Mortality in Cancer Patients with Health Disparities: A Propensity Score Adjusted Machine Learning Analysis of over 100 Million Hospitalizations Across 3 Years Arrhythmias are observed to increase during high influenza activity seasons (HIA, December to February) with significant clinical impact among high-risk patients, so their outcomes may be optimized through closer monitoring of these populations. It is unknown if cancer is such a risk factor. This is a retrospective analysis of arrhythmia-related mortality and the effect of health disparities in patients with cancer during HIA and non-HIA seasons in a nationally representative database. Machine learning-augmented propensity score adjusted multivariable regression (ML-PSr) was performed using the 2016-2018 National Inpatient Sample (NIS), the United States’ largest all-payer hospitalized dataset. A number of 16,795,379 (18.48%) patients presented with arrhythmia of whom 3,214,914 (19.14%) were during HIA. In ML-PSr, HIA did not significantly increase the odds of arrhythmia for cancer patients (OR 1.01, 95%CI 0.99-1.03, p=0.37), but the odds of arrhythmia-related mortality were higher during HIA seasons (OR 1.19, 95%CI 1.12-1.27, p<0.001) compared to non-HIA seasons (OR 1.17, 95%CI 1.13-1.22, p<0.001). Primary malignancies with the highest prevalence of arrhythmias during HIA were that of the lung (19.60%), leukemia (11.49%), non-Hodgkin lymphoma (NHL) (8.24%), prostate (8.15%), and multiple myeloma (MM) (6.21%) (p<0.001). HIA increased arrhythmia-related mortality most for the following primary malignancies by year: gastrointestinal in 2016 (OR 1.15, 95%CI 1.01-1.32, p=0.039), leukemia in 2017 (OR 1.31, 95%CI 1.10-1.54, p=0.002), GI in 2018 (OR 1.14, 95%CI 1.01-1.29, p=0.029), and renal in 2018 (OR 1.54, 95%CI 1.06-2.23, p=0.025). Among patients with active cancer and arrhythmia, African Americans had significantly greater mortality than Caucasians (OR 1.13, 95%CI 1.03-1.23, p=0.013), independent of socioeconomic and clinical confounders. This study suggests arrhythmia-related mortality was higher during HIA seasons compared to non-HIA seasons in cancer patients and showed notable disparities by race and worse outcomes by primary malignancy.
Videotaping of surgical procedures and outcomes following extraperitoneal laparoscopic radical prostatectomy for clinically localized prostate cancer

Video‐recording of emerging minimally invasive surgical procedures is likely to become an integral component of patient record‐keeping in the future for prostate cancer treatment. No prior work has shown the impact of videotaping of laparoscopic prostatectomy on patient outcomes. Our aim was to determine correlation between independent peer review of videotaping quality scores of extraperitoneal laparoscopic prostatectomy (ELRP) with complications, re‐admissions, functional, and early oncological outcomes.
Multicast video delivery with switched beamforming antennas in indoor wireless networks

Wireless multicast based video delivery is constrained by the user with the lowest channel quality within a multicast group. Beamforming increases the SINR at the clients thereby increasing the minimum channel quality among the users that form the multicast group. Thus it can be utilized to enhance the wireless multicast video transmission. In this paper, we investigate how to exploit switched beamforming antennas to improve wireless multicast based video transmission in indoor environments. The fundamental problem to be solved is the selection and scheduling of beams to be used to cover different subsets of users within the multicast group. We consider both multi-resolution videos and multi-layered videos and formulate the problem as maximizing the total utility of all multicast clients subject to a total delay constraint, where the utility is a general measure of video quality or user-satisfaction. We prove that it is NP-hard to have a (1−1/e+ε)-approximation solution to this problem for any ε > 0, under both multi-resolution and multi-layered video models. For the multi-resolution video model, we develop a unified approximation algorithm with a parameter k that controls both the algorithm complexity and the approximation factor. For k = 0, 1, 2, 3, we prove that the proposed algorithm achieves an approximation guarantee close to 0.31, 0.38, 0.55, and 0.63, respectively. For the multi-layered video model, we propose a similar heuristic solution. The proposed algorithms are evaluated with both hypothetical video sequences and real video sequences using channel data collected in an indoor wireless testbed. Evaluation results show that the proposed algorithms have much better performance than naive multicast algorithms for scheduling the beams.
Public Relations

Rating: Not Rated Archive Warning: Choose Not To Use Archive Warnings Category: F/M, Gen, M/M, Multi Fandom: Original Work Relationship: Original Male Character/Original Male Character, Original Female Character/Original Male Character Character: Original Characters Additional Tags: Romance, Social Media, Social Issues, Implied/Referenced Drug Addiction, Secret Relationship, Dysfunctional Family, Family Secrets, Canon Character of Color, Celebrities, Canon Gay Relationship, Actors, Musicians, Alternate Universe Music, Alternate Universe Actors, Emotional Hurt/Comfort, Hollywood, London, Los Angeles, Travel Series: Part 7 of The Industry Stats: Published: 2017-12-14 Completed: 2018-03-16 Chapters: 60/60 Words: 211591
Motor Learning Deficits in Parkinson's Disease (PD) and Their Motor Learning Deficits in Parkinson's Disease (PD) and Their Effect on Training Response in Gait and Balance: A Narrative Effect on Training Response in Gait and Balance: A Narrative Review Review

Parkinson’s disease (PD) is a neurological disorder traditionally associated with degeneration of the dopaminergic neurons within the substantia nigra, which results in bradykinesia, rigidity, tremor, and postural instability and gait disability (PIGD). The disorder has also been implicated in degradation of motor learning. While individuals with PD are able to learn, certain aspects of learning, especially automatic responses to feedback, are faulty, resulting in a reliance on feedforward systems of movement learning and control. Because of this, patients with PD may require more training to achieve and retain motor learning and may require additional sensory information or motor guidance in order to facilitate this learning. Furthermore, they may be unable to maintain these gains in environments and situations in which conscious effort is divided (such as dual-tasking). These shortcomings in motor learning could play a large part in degenerative gait and balance symptoms often seen in the disease, as patients are unable to adapt to gradual sensory and motor degradation. Research has shown that physical and exercise therapy can help patients with PD to adapt new feedforward strategies to partially counteract these symptoms. In particular, balance, treadmill, resistance, and repeated perturbation training therapies have been shown to improve motor patterns in PD. However, much research is still needed to determine which of these therapies best alleviates which symptoms of PIGD, the needed dose and intensity of these therapies, and long-term retention effects. The beneﬁts of such technologies as augmented feedback, motorized perturbations, virtual reality, and weight-bearing assistance are also of interest. This narrative review will evaluate the effect of PD on motor learning and the effect of motor learning deﬁcits on response to physical therapy and training programs, focusing speciﬁcally on features related to PIGD. Potential methods to strengthen therapeutic effects will be discussed.
Star Forming Galaxies at z > 5

Abstract We present recent progress in searching for galaxies at redshift from z ≃ 5 to z ∼ 10. Wide-field and sensitive surveys with 8m class telescopes have been providing more than several hundreds of star forming galaxies at z ∼ 5 − 7 that are probed in the optical window. These galaxies are used to study the early cosmic star formation activity as well as the early structure formation in the universe. Moreover, near infrared deep imaging and spectroscopic surveys have found probable candidates of galaxies from z ∼ 7 to z ∼ 10. Although these candidates are too faint to be identified unambiguously, we human being are now going to the universe beyond 13 billion light years, close to the epoch of first-generations stars; i.e., Population III stars. We also mention about challenges to find Population III-dominated galaxies in the early universe.
Improving Tropical Cyclone Forecast Communication by Understanding NWS Partners’ Decision Timelines and Forecast Information Needs

As tropical cyclone threats evolve, broadcast meteorologists and emergency managers rely on timely forecast information to help them communicate risk with the public and protect public safety. This study aims to improve the usability and applicability of NWS forecast information in the context of these NWS core partners’ decisions during tropical cyclone threats. The research collected and analyzed data from in-depth interviews with broadcast meteorologists and emergency managers in 3 coastal U.S. states. These data were used to analyze broadcast meteorologists’ and emergency managers’ tropical cyclone decision and action timelines, their use of tropical cyclone information during different phases of threats, and gaps in forecast information for decision making. Based on these findings, several opportunities for improving tropical cyclone risk communication were identified. Recommendations to address gaps in the NWS tropical cyclone product suite include designing improved ways to communicate storm-specific storm surge risk at greater than 48 hours lead time, expanding the use of concise highlights that help people quickly extract and understand key information, and improving product understandability and usability by more comprehensively integrating users’ perspectives into product research and development. Broader strategic recommendations include developing new approaches for informing broadcast meteorologists about major forecast updates, presenting forecast information in ways that enable locally relevant interpretation, and supporting human forecasters’ contributions to the effectiveness of NWS products and services. These findings and recommendations can help NOAA prioritize ways to modernize the current NWS tropical cyclone product suite as well as motivate research to enable longer-term high-priority improvements.
Mechanical-chemical induction of balsam from Liquidambar excelsa trees

Rasamala (Liquidambar excelsa (Noronha) Oken) is an endemic plant in Indonesia. Apart from its use as wood, Rasamala also produces an exudate, known as balsam. Rasamala balsam has the potential to be a substitute for other true balsams derived from Altingiaceae, namely Storax. However, local communities have not used Rasamala balsam to its full potential owing to a lack of knowledge about the tapping method and processing. Therefore, an easy and efficient induction method for plant exudates is required to boost productivity. The use of exogenous hormones as stimulants and less damaging tapping techniques for plant stems requires further investigation. In this study, mechanical and chemical inductions were conducted using 0.1%, 1%, 2%, 5%, and 10% (w/w) methyl jasmonate and ethephon as stimuli. These chemical compounds were applied to young twigs without incision (TW), by incision (TI), to branches perforated with an electric bore (BB), and by incision (BI). After exogenous application for 21 days, Rasamala balsam exuded in all induction techniques, except for the TW treatment. BI treatment showed the highest effective induction, as indicated by the highest balsam exudation. Furthermore, methyl jasmonate was a better chemical stimulant than ethephon. In addition, the induced balsam Rasamala exudate showed a physical characteristic of a clear, thick, sticky colorless to white liquid with a distinctive balsamic odor.
Molecular Characterization of Staphylococcus aureus Isolated from Bovine Mastitis and Close Human Contacts in South African Dairy Herds: Genetic Diversity and Inter-Species Host Transmission

Staphylococcus aureus is one of the most common etiological agents of contagious bovine mastitis worldwide. The purpose of this study was to genetically characterize a collection of S. aureus isolates (bovine = 146, human = 12) recovered from cases of bovine mastitis and nasal swabs of close human contacts in the dairy environment. Isolates were screened for a combination of clinically significant antimicrobial and virulence gene markers whilst the molecular epidemiology of these isolates and possible inter-species host transmission was investigated using a combination of genotyping techniques. None of the isolates under evaluation tested positive for methicillin or vancomycin resistance encoding genes. Twenty seven percent of the bovine S. aureus isolates tested positive for one or more of the pyrogenic toxin superantigen (PTSAg) genes with the sec and sell genes predominating. Comparatively, 83% of the human S. aureus isolates tested positive for one or more PTSAg genes with a greater variety of genes being detected. Genomic DNA macrorestriction followed by pulsed-field gel electrophoresis (PFGE) of the bovine isolates generated 58 electrophoretic patterns which grouped into 10 pulsotypes at an 80% similarity level. The majority of the bovine isolates, 93.2% (136/146), clustered into four major pulsotypes. Seven sequence types (ST) were identified among the representative bovine S. aureus isolates genotyped, including: ST8 (CC8), ST97 (CC97), ST351 (CC705), ST352 (CC97), ST508 (CC45), ST2992 (CC97) and a novel sequence type, ST3538 (CC97). Based on PFGE analysis, greater genetic diversity was observed among the human S. aureus isolates. Bovine and human isolates from three sampling sites clustered together and were genotypically indistinguishable. Two of the isolates, ST97 and ST352 belong to the common bovine lineage CC97, and their isolation from close human contacts suggests zoonotic transfer. In the context of this study, the third isolate, ST8 (CC8), is believed to be a human clone which has transferred to a dairy cow and has subsequently caused mastitis. The detection of indistinguishable S. aureus isolates from bovine and human hosts at three of the sampling sites is suggestive of bacterial transmission and supports the need for vigilant monitoring of staphylococcal populations at the human-animal interface.
Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques

Many real life optimization problems contain both hard and soft constraints, as well as qualitative conditional preferences. However, there is no single formalism to specify all three kinds of information. We therefore propose a framework, based on both CP-nets and soft constraints, that handles both hard and soft constraints as well as conditional preferences efficiently and uniformly. We study the complexity of testing the consistency of preference statements, and show how soft constraints can faithfully approximate the semantics of conditional preference statements whilst improving the computational complexity.
Genetic variants in SLC9A9 are associated with measures of Attention-deficit/hyperactivity disorder symptoms in families

Objective A family was previously identified that cosegregates a pericentric inversion, inv(3)(p14 : q21), with an early-onset developmental condition, characterized by impulsive behavior and intellectual deficit. The inversion breakpoints lie within DOCK3 and SLC9A9 at the p-arm and q-arm, respectively. Based on this report, these genes were selected to be evaluated in a family-based attention-deficit/hyperactivity disorder (AD/HD) association study. Methods Conners' Parent (CPRS) and Teacher (CTRS) Rating Scales of AD/HD symptoms and Conners' Continuous Performance Test (CPT) measures were collected and a minimal number of tagging single-nucleotide polymorphisms (SNPs) in each gene were selected for analysis. Analyses were performed on families who met research criteria for AD/HD. Using the program, QTDT, each tagging SNP was tested for association with T-scores from the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) subscales according to the CTRS and CPRS, and five CPT measures. Results After adjusting for multiple testing, a SNP in the 3′ UTR of SLC9A9, rs1046706, remained significantly associated (false discovery rate, q value <0.05) with scores on the DSM-IV hyperactive-impulsive and total symptom subscales according to the CTRS and errors of commission on the CPT. In addition, an intronic SLC9A9 SNP, rs2360867, remained significantly associated with errors of commission. Conclusion Our results suggest that SLC9A9 may be related to hyperactive-impulsive symptoms in AD/HD and the disruption of SLC9A9 may be responsible for the behavioral phenotype observed in the inversion family. The association with SLC9A9 is particularly interesting as it was recently implicated in a genome-wide association study for AD/HD. Further investigation of the role of SLC9A9 in AD/HD and other behavioral disorders is warranted.
A transitional endogenous lentivirus from the genome of a basal primate and implications for lentivirus evolution

Lentiviruses chronically infect a broad range of mammalian species and have been transmitted from primates to humans, giving rise to multiple outbreaks of HIV infection over the past century. Although the circumstances surrounding these recent zoonoses are becoming clearer, the nature and timescale of interaction between lentiviruses and primates remains unknown. Here, we report the discovery of an endogenous lentivirus in the genome of the gray mouse lemur (Microcebus murinus), a strepsirrhine primate from Madagascar, demonstrating that lentiviruses are capable of invading the primate germ line. Phylogenetic analysis places gray mouse lemur prosimian immunodeficiency virus (pSIVgml) basal to all known primate lentiviruses and, consistent with this, its genomic organization is intermediate between the nonprimate lentiviruses and their more derived primate counterparts. Thus, pSIVgml represents the first unambiguous example of a viral transitional form, revealing the acquisition and loss of genomic features during lentiviral evolution. Furthermore, because terrestrial mammal populations in Madagascar and Africa are likely to have been isolated from one another for at least 14 million years, the presence of pSIVgml in the gray mouse lemur genome indicates that lentiviruses must have been infecting primates for at least this period of time, or have been transmitted between Malagasy and African primate populations by a vector species capable of traversing the Mozambique channel. The discovery of pSIVgml illustrates the utility of endogenous sequences for the study of contemporary retroviruses and indicates that primate lentiviruses may be considerably older and more broadly distributed than previously thought.
Artificial Intelligence in Combat Decision-making: Weapon Target Assignment via Reinforcement Learning and Graph Neural Networks

—Selecting a threat to attack is one of the most important decisions on the battlefield. The decision problem is represented as a Weapon-Target Assignment problem (WTA) problem. In the previous studies, dynamic programming, linear programming, metaheuristics, and heuristic methods have been applied to solve this problem. However, previous studies have been limited by modeling oversimplification, computational burden, lack of adaptability to disruptive events, and recalculation when the problem size changes. To overcome these limitations, this study aims to solve WTA by using reinforcement learning and graph neural networks. The proposed method has high practicality by reflecting the real-world decision-making framework, OODA-loop (Observe-Orient-Decide). Experiments are conducted in various environments, and the effectiveness of the proposed method is demonstrated by comparing it with existing heuristic and meta-heuristic methodologies. The proposed method introduces a groundbreaking methodology for intelligent decision-making in tactical command and control traditionally considered exclusive to human-expert.
Combinatorial 3-Manifolds from Sets of Tetrahedra

We propose an algorithm to convert a tetrahedral mesh with singularities to a combinatorial 3-manifold using only local modifications. We outline sufficient conditions on the mesh to guarantee the feasibility of the approach and we show how singularities can be both identified and removed according to the configuration of their link. Furthermore, we demonstrate that the algorithm can be implemented using a flexible state-of-the-art data structure for manifold tetrahedral meshes suitable for efficient and general applications.
Huskie Commons Huskie Commons

This study investigates whether incoming female accountants expect to have the same career opportunities within the accounting profession as do males. For purposes of this study, in-depth interviews were conducted with 20 accounting students. These students were either undergraduate seniors majoring in accounting or graduate students enrolled in a Master of Accounting Science program. The results of the interviews were such that both male and female accounting students exhibited high expectations for their careers and their lives outside of it. Students recognized the impact of family and the difficulty of the profession on their career. They also noted that the recruitment role for accounting firms is generally performed by a female, whereas the decision-maker role is generally performed by a male. Although there were no major differences in perceptions between male and female students, gender was seen as an obstacle for females.