bluuebunny/crossref_metadata_2025_split huggingface dataset:
Venetoclax Increases Intratumoral Effector T Cells and Antitumor Efficacy in Combination with Immune Checkpoint Blockade
Authors: Kohlhapp Frederick J. , Haribhai Dipica , Mathew Rebecca , Duggan Ryan , Ellis Paul A. , Wang Rui , Lasater Elisabeth A. , Shi Yan , Dave Nimita , Riehm Jacob J. , Robinson Valerie A. , Do An D. , Li Yijin , Orr Christine J. , Sampath Deepak , Raval Aparna , Merchant Mark , Bhathena Anahita , Salem Ahmed Hamed , Hamel Keith M. , Leverson Joel D. , Donawho Cherrie , Pappano William N. , Uziel Tamar 
Published: September 2020

Abstract

The antiapoptotic protein BCL2 plays critical roles in regulating lymphocyte development and immune responses, and has also been implicated in tumorigenesis and tumor survival. However, it is unknown whether BCL2 is critical for antitumor immune responses. We evaluated whether venetoclax, a selective small-molecule inhibitor of BCL2, would influence the antitumor activity of immune checkpoint inhibitors (ICI). We demonstrate in mouse syngeneic tumor models that venetoclax can augment the antitumor efficacy of ICIs accompanied by the increase of PD-1+ T effector memory cells. Venetoclax did not impair human T-cell function in response to antigen stimuli in vitro and did not antagonize T-cell activation induced by anti–PD-1. Furthermore, we demonstrate that the antiapoptotic family member BCL-XL provides a survival advantage in effector T cells following inhibition of BCL2. Taken together, these data provide evidence that venetoclax should be further explored in combination with ICIs for cancer therapy.

Significance:
The antiapoptotic oncoprotein BCL2 plays critical roles in tumorigenesis, tumor survival, lymphocyte development, and immune system regulation. Here we demonstrate that venetoclax, the first FDA/European Medicines Agency–approved BCL2 inhibitor, unexpectedly can be combined preclinically with immune checkpoint inhibitors to enhance anticancer immunotherapy, warranting clinical evaluation of these combinations.
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Total energy consumption analysis in wireless mobile ad hoc network with varying mobile nodes
Authors: Saad Mohammed Ayad , Alhamdane Hayder Jasim , Ali Adnan Hussein , Alani Sameer , Hashim M. M. , Hasan Bassam 
Published: September 2020

The energy protocols that have a mechanisms of shortest path routing considered predominant in the networking scenarios. The interesting matter in the routing protocols designing deal with mobile ad hoc network (MANET) must have an energy efficient network for better network performances. The Performances of such routing protocols that can be assessed will be focused on many metrics like delay, throughput, and packet delivery. MANET is a distribution network, having no infrastructure and network decentralization. There routing protocols are utilized for detecting paths among mobile nodes to simplify network communication. The performance comparison of three protocols are Optimized Link State Routing (OLSR), the second is Ad hoc On-Demand Distance Vector (AODV), while the third is Dynamic Source Routing (DSR) routing protocols concerning to average energy consumption and mobile node numbers are described thoroughly by NS-3 simulator. The nodes number is changing between 10 and 25 nodes, with various mobility models. The performance analysis shows that the suggested protocols are superior in relations to the energy consumption for networking data transmission and the performance of the wireless network can be improved greatly.
Predicting fertilizer treatment of maize using decision tree algorithm
Authors: Jahan Nusrat , Shahariar Rezvi 
Published: September 2020

<span>Machine learning approaches are progressively successful in image based analysis such as different diseases prediction as well as level of risk assessment etc. In this paper, image based data analysis with machine learning technique were used for fertilizer treatment of maize. We address this issue as our country depend on agricultural field rather than others. Maize has a bright future. To predict fertilizer treatment of maize dataset were comprised of ground coverage region which highlights the green pixels of a maize image. For calculating green pixels from an image we used “Can Eye” tool. The achievement of machine learning approaches is highly dependent on quality and quantity of the dataset which is used for training the machine for better classification result. For this perseverance, we collected images from the maize field directly. Then processed those images and classified the data into four classes (Less Nitrogen=-N, Less Phosphorus=-P, Less Potassium=-K and NPK) to train our machine using decision tree algorithm to predict fertilizer treatment. We got 93% classification accuracy for decision tree. Finally, the outcome of this paper is the fertilizer treatment of a maize field based on the ground cover percentage, and we implemented this whole work using an android platform because of the availability of android mobile phone throughout the world.</span>
Enhancement in resource allocation system for cloud environment using modified grey wolf technique
Authors: Ouhame Soukaina , Hadi Youssef 
Published: September 2020

<p class="normal">Cloud computing is an advanced technology which provides services with the help of internet. These services work under the rule of pay and gain. The services consist of hardware and software used in different fields of life. Due to growth of cloud computing the number of users are increased and their demand for better services also increased with the passage of time. Cloud computing faces different issues. One of them is resource scheduling. In this paper a new technique is used for improvement of scheduling in cloud computing. The improvement took place in GWO algorithm. Two main sections of this algorithm are modified, which are local search section and fitness function value. The above proposed technique is used to improve three main parameters of scheduling that are energy consumption, throughput and average network executation time in VM for cloud computing. The techniques results are compared with ABC algorithm and GWO algorithm. The results show that proposed algorithm improves in the three main parameters of scheduling for cloud computing.</p>
Near-lossless image compression using an improved edge adaptive hierarchical interpolation
Authors: Sinshahw Yenewondim Biadgie 
Published: September 2020

<span>In medical and scientific imaging, lossless image compression is recommended because the loss of minor details subject to medical diagnosis can lead to wrong diagniosis. On the other hand, lossy compression of medical images is required in the long run because a huge quantity of medical data needs remote storage. This, in turn, takes long time to search and transfer an image. Instead of thinking lossless or lossy image compression methods, near-loss image compression mehod can be used to compromise the two conflicting requirements. In the previous work, an edge adaptive hierarchical interpolation (EAHINT) was proposed for resolution scalable lossless compression of images. In this paper, it was enhanced for scalable near-less image compression. The interpolator of this arlgorithm swiches among one-directional, multi-directional and non-directional linear interpolators adaptively based on the strength of the edge in a 3x3 local casual context of the current pixel being predicted. The strength of the edge in local window was estimated using the variance of the the pixels in the local window. Although the actual predictors are still linear functions, the switching mechanism tried to deal with non-linear structures like edges. Simulation results demonstrate that the improved interpolation algorithm has better compression ratio over the the exsisting the original EAHINT algorithm and JPEG-Ls image compression standard. </span>
Stepwise Regression and Latent Profile Analyses of Locomotor Outcomes Poststroke
Authors: Hornby T. George , Henderson Christopher E. , Holleran Carey L. , Lovell Linda , Roth Elliot J. , Jang Jeong Hoon 
Published: September 2020

Background and Purpose:
Previous data suggest patient demographics and clinical presentation are primary predictors of motor recovery poststroke, with minimal contributions of physical interventions. Other studies indicate consistent associations between the amount and intensity of stepping practice with locomotor outcomes. The goal of this study was to determine the relative contributions of these combined variables to locomotor outcomes poststroke across a range of patient demographics and baseline function.

Methods:
Data were pooled from 3 separate trials evaluating the efficacy of high-intensity training, low-intensity training, and conventional interventions. Demographics, clinical characteristics, and training activities from 144 participants >1-month poststroke were included in stepwise regression analyses to determine their relative contributions to locomotor outcomes. Subsequent latent profile analyses evaluated differences in classes of participants based on their responses to interventions.

Results:
Stepwise regressions indicate primary contributions of stepping activity on locomotor outcomes, with additional influences of age, duration poststroke, and baseline function. Latent profile analyses revealed 2 main classes of outcomes, with the largest gains in those who received high-intensity training and achieved the greatest amounts of stepping practice. Regression and latent profile analyses of only high-intensity training participants indicated age, baseline function, and training activities were primary determinants of locomotor gains. Participants with the smallest gains were older (≈60 years), presented with slower gait speeds (<0.40 m/s), and performed 600 to 1000 less steps/session.

Conclusions:
Regression and cluster analyses reveal primary contributions of training interventions on mobility outcomes in patients >1-month poststroke. Age, duration poststroke, and baseline impairments were secondary predictors.

Registration:

URL:
https://www.clinicaltrials.gov
. Unique identifier: NCT02507466 and NCT01789853.
Lessons Learned from the 2017 Flash Drought across the U.S. Northern Great Plains and Canadian Prairies
Authors: Hoell Andrew , Parker Britt-Anne , Downey Michael , Umphlett Natalie , Jencso Kelsey , Akyuz F. Adnan , Peck Dannele , Hadwen Trevor , Fuchs Brian , Kluck Doug , Edwards Laura , Perlwitz Judith , Eischeid Jon , Deheza Veva , Pulwarty Roger , Bevington Kathryn 
Published: September 2020

AbstractThe 2017 flash drought arrived without early warning and devastated the U.S. northern Great Plains region comprising Montana, North Dakota, and South Dakota and the adjacent Canadian Prairies. The drought led to agricultural production losses exceeding $2.6 billion in the United States, widespread wildfires, poor air quality, damaged ecosystems, and degraded mental health. These effects motivated a multiagency collaboration among academic, tribal, state, and federal partners to evaluate drought early warning systems, coordination efforts, communication, and management practices with the goal of improving resilience and response to future droughts. This essay provides an overview on the causes, predictability, and historical context of the drought, the impacts of the drought, opportunities for drought early warning, and an inventory of lessons learned. Key lessons learned include the following: 1) building partnerships during nondrought periods helps ensure that proper relationships are in place for a coordinated and effective drought response; 2) drought information providers must improve their understanding of the annual decision cycles of all relevant sectors, including, and beyond, direct impacts in agricultural sectors; and 3) ongoing monitoring of environmental conditions is vital to drought early warning, given that seasonal forecasts lack skill over the northern Great Plains.
Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States
Authors: Feng Zhe , Song Fengfei , Sakaguchi Koichi , Leung L. Ruby 
Published: September 2020

AbstractA process-oriented approach is developed to evaluate warm-season mesoscale convective system (MCS) precipitation and their favorable large-scale meteorological patterns (FLSMPs) over the United States. This approach features a novel observation-driven MCS-tracking algorithm using infrared brightness temperature and precipitation features at 12-, 25-, and 50-km resolution and metrics to evaluate the model large-scale environment favorable for MCS initiation. The tracking algorithm successfully reproduces the observed MCS statistics from a reference 4-km radar MCS database. To demonstrate the utility of the new methodologies in evaluating MCS in climate simulations with mesoscale resolution, the process-oriented approach is applied to two climate simulations produced by the Variable-Resolution Model for Prediction Across Scales coupled to the Community Atmosphere Model physics, with refined horizontal grid spacing at 50 and 25 km over North America. With the tracking algorithm applied to simulations and observations at equivalent resolutions, the simulated number of MCS and associated precipitation amount, frequency, and intensity are found to be consistently underestimated in the central United States, particularly from May to August. The simulated MCS precipitation shows little diurnal variation and lasts too long, while the MCS precipitation area is too large and its intensity is too weak. The model is able to simulate four types of observed FLSMP associated with frontal systems and low-level jets (LLJ) in spring, but the frequencies are underestimated because of low-level dry bias and weaker LLJ. Precipitation simulated under different FLSMPs peak during the daytime, in contrast to the observed nocturnal peak. Implications of these findings for future model development and diagnostics are discussed.
Health Department Efforts to Increase Hepatitis C RNA Testing Among People Appearing Out of Care: Comparison of Outreach Approaches, New York City, 2017
Authors: Webster Rachel , Moore Miranda S. , Bocour Angelica , Johnson Nirah , Winters Ann 
Published: September 2020

Objectives Hepatitis C virus (HCV) infection is a serious health problem in New York City. Although curative treatments are available, many people are out of care. The New York City Department of Health and Mental Hygiene (DOHMH) used surveillance data and various outreach methods to attempt to link to care people diagnosed with HCV infection from 2010 through 2015. Methods We randomly assigned people out of care (ie, no HCV test >6 months after first report) to 4 outreach groups: no outreach (control group); letter only; letter and telephone call; and letter, text message, and telephone call. Three months after outreach ended, we analyzed surveillance data to identify people with a subsequent HCV RNA or genotype test suggesting linkage to care. Results Of 2626 selected people, 199 (7.6%) had a subsequent HCV test. People in all 3 outreach groups had higher odds of a subsequent test than people in the control group (letter only: adjusted odds ratio [aOR] = 1.81 [95% CI, 1.18-2.91]; letter and telephone: aOR = 3.11 [95% CI, 1.67-5.79]; letter, text, and telephone: aOR = 3.17 [95% CI, 1.48-6.51]). People in the letter and telephone group had higher odds of a subsequent test than people in the letter-only group (aOR = 1.72; 95% CI, 1.04-2.74). Most people in the letter and telephone (136/200, 68.0%) and the letter, text, and telephone (71/99, 71.7%) groups could not be reached, primarily because telephone numbers were incorrect or out of service. Conclusion Reaching out to people soon after first report or prioritizing groups in which more recent contact information can be found might improve outcomes of future outreach.
Supportive effect of body contact care with ylang ylang aromatherapy and mobile intervention team for suicide prevention: A pilot study
Authors: Amadéo Stéphane , Nguyen Ngoc Lam , Teai Taivini , Favro Patrick , Mulet Aurélia , Colin-Fagotin Nathalie , Rereao Moerani , Malogne Aurélia , Simone Michel De , Rioche Géraldine , Gassion Virginie , Pere Paul , Prokop Alban , Bernis Fabienne , Dufour Pierre , Tuheiava Annie , Vanquin Germaine , Vilhem Steve , Gokalsing Erick , Spodenkiewicz Michel , Pradem Marianne , Seguin Monique , Beauchamp Guy , Thomas Pierre , Vaiva Guillaume , Jehel Louis 
Published: September 2020

Objectives To assess understudied, alternative suicide prevention modalities in a mental health care setting. Methods This was a prospective study of patients (n = 140, 68 cases and 72 controls) who were admitted to hospital or who contacted an SOS suicide crisis line for suicidal ideation or attempts. Psychiatric diagnoses (Mini-International Neuropsychiatric Interview) and intensity of anxiety/depression/suicidality (Hamilton Anxiety Rating Scale, Montgomery–Åsberg Depression Rating Scale, and Beck Scale for Suicidal Ideation) were assessed. All intervention group subjects received a crisis card with a crisis line number, interviews with psychologists or volunteers and a telephone call on days 10 to 21, then 6 months later. These subjects also had a choice between two further 4-month interventions: body contact care or mobile intervention team visits. Results The interventions significantly reduced the number of suicide attempts and suicide (3%) at 6 months compared with the control condition (12%). There were fewer losses to follow-up in the intervention group (7.35%) than in the control group (9.72%). Conclusions The results favour the implementation of integrated care and maintaining contact in suicide prevention.
Peripheral hematological parameters in women with polycystic ovary syndrome
Authors: ALhabardi Nadiah A , Al-Wutayd Osama , Eltayieb Khalid M , Shiha Yasir S , AL-Shafei Ahmad I , Adam Ishag 
Published: September 2020

Objective There have been few studies on hematological parameters (e.g., hemoglobin, red cell distribution width, white blood cells, and mean platelet volume), and polycystic ovary syndrome (PCOS). This study aimed to compare hematological parameters between women with PCOS and controls. Methods We performed an age-matched case–control study in Faisal bin Mishal Center for Infertility, Buraidah (Kingdom of Saudi Arabia). The cases were women with PCOS and an equal number of healthy women were enrolled as controls. The basic gynecological history was recorded and blood samples were analyzed for blood parameters using an automated hematology analyzer. Results The two groups (60 women in each arm of the study) were similar in age. However, body mass index was significantly higher in women with PCOs compared with controls. There were no significant differences in any of the hematological parameters (hemoglobin, red blood cells, red cell distribution width, white blood cells, platelets, and mean platelet volume) between the two groups. Conclusion There does not appear to be a significant difference in hematological parameters in Saudi women with PCOS and healthy controls. A larger study on this issue is required in the future.
Cluster headache not responsive to sumatriptan: A retrospective study
Authors: Giani Luca , Cecchini Alberto Proietti , Astengo Alberto , Lauria Giuseppe , Leone Massimo 
Published: September 2020

Introduction Subcutaneous sumatriptan, a 5HT1B/1D agonist, is the most effective drug in cluster headache acute treatment. About 25% of the patients do not respond to subcutaneous sumatriptan; the reasons for this are unknown. In this study, we compare clinical characteristics of cluster headache patients responding and non-responding to subcutaneous sumatriptan. Methods We retrospectively investigated the clinical records of 277 cluster headache patients. Patients reporting repeated satisfactory response to subcutaneous sumatriptan within 15 minutes were considered responders. Results Of 206 cluster headache patients who had used subcutaneous sumatriptan (mean age 45.6, 16% females, 48% chronic), 91% were responders, and 9% non-responders. Compared to responders, non-responders had longer and more frequent attacks: 60 (median; IQR 38–90) vs. 100 (60–120) minutes ( p = 0.028), 4 (2.5–5) vs. 3 (2–4) attacks/day ( p = 0.024). No other difference was found. Conclusions In cluster headache attacks with long duration and high frequency, pain mechanisms not involving 5HT1B/1D receptors may play a more relevant role.
Issues in the Provision of Health Care in India: An Overview
Authors: Borooah Vani Kant 
Published: September 2020

After reviewing health outcomes and policy in India, this paper concludes that there are at least six sets of issues to be addressed about improving the quantity and quality of health services, and ipso facto improving health outcomes, in India. First, the amount of resources earmarked for health needs to increase. Second, health resources need to be used in a fair and just manner and, in particular, complaints relating to egregious health outcomes need to be addressed. Predominant in this set of issues is oversight and regulation of private-sector health provision. The third set of issues relates to the allocation of health resources and, in particular, to the imbalance in the allocation of health resources between towns and villages. A fourth issue is the accessibility of rural areas since it is the most remote areas that have the lowest density of health workers. Another issue is the more efficient use of health workers in order to make them more productive. Finally, Indian health policy is stronger on rhetoric and aspiration than it is on action and implementation. The successful implementation of the policy requires the explicit recognition that objectives are often competing (primary versus tertiary care) and the acknowledgement that, with budgetary constraints, one cannot have more of one without having less of the other. The first role of policy is to then choose the optimal mix of objectives with respect to these trade-offs. Secondly, policies come up against vested interests which agitate (often with the support of opposition politicians) and litigate against proposed changes. Lastly, policies in India are made against a background of poor governance with the predatory presence of corruption looming over every policy initiative. In implementing, rather than simply articulating, a policy it is important to address these governance issues. JEL: I10, I11, I13, I14, I15