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Showing 1 to 12 of 107 entries
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Giant hydatid cyst in the posterior fossa of a child.

Asian journal of neurosurgery

Fakhouri F, Ghajar A, Mahli N, Shoumal N.
PMID: 26425166
Asian J Neurosurg. 2015 Oct-Dec;10(4):322-4. doi: 10.4103/1793-5482.162719.

The hydatid cyst (HC) is endemic in Mediterranean region including Syria. The central nervous system is involved in 2-3% of cases. HC in cerebellum is very rare. We report a case that presented as an emergency for high intracranial...

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Fakhouri F, Ghajar A, Mahli N, et al. Giant hydatid cyst in the posterior fossa of a child. Asian J Neurosurg. 2015;10(4):322-4doi: 10.4103/1793-5482.162719.
Fakhouri, F., Ghajar, A., Mahli, N., & Shoumal, N. (2015). Giant hydatid cyst in the posterior fossa of a child. Asian journal of neurosurgery, 10(4), 322-4. https://doi.org/10.4103/1793-5482.162719
Fakhouri, Fakhr, et al. "Giant hydatid cyst in the posterior fossa of a child." Asian journal of neurosurgery vol. 10,4 (2015): 322-4. doi: https://doi.org/10.4103/1793-5482.162719
Fakhouri F, Ghajar A, Mahli N, Shoumal N. Giant hydatid cyst in the posterior fossa of a child. Asian J Neurosurg. 2015 Oct-Dec;10(4):322-4. doi: 10.4103/1793-5482.162719. PMID: 26425166; PMCID: PMC4558813.
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What does scalar timing tell us about neural dynamics?.

Frontiers in human neuroscience

Shouval HZ, Hussain Shuler MG, Agarwal A, Gavornik JP.
PMID: 24994976
Front Hum Neurosci. 2014 Jun 19;8:438. doi: 10.3389/fnhum.2014.00438. eCollection 2014.

The "Scalar Timing Law," which is a temporal domain generalization of the well known Weber Law, states that the errors estimating temporal intervals scale linearly with the durations of the intervals. Linear scaling has been studied extensively in human...

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Shouval HZ, Hussain Shuler MG, Agarwal A, et al. What does scalar timing tell us about neural dynamics?. Front Hum Neurosci. 2014;8:438doi: 10.3389/fnhum.2014.00438.
Shouval, H. Z., Hussain Shuler, M. G., Agarwal, A., & Gavornik, J. P. (2014). What does scalar timing tell us about neural dynamics?. Frontiers in human neuroscience, 8438. https://doi.org/10.3389/fnhum.2014.00438
Shouval, Harel Z, et al. "What does scalar timing tell us about neural dynamics?." Frontiers in human neuroscience vol. 8 (2014): 438. doi: https://doi.org/10.3389/fnhum.2014.00438
Shouval HZ, Hussain Shuler MG, Agarwal A, Gavornik JP. What does scalar timing tell us about neural dynamics?. Front Hum Neurosci. 2014 Jun 19;8:438. doi: 10.3389/fnhum.2014.00438. eCollection 2014. PMID: 24994976; PMCID: PMC4063330.
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The geometry of the Pareto front in biological phenotype space.

Ecology and evolution

Sheftel H, Shoval O, Mayo A, Alon U.
PMID: 23789060
Ecol Evol. 2013 Jun;3(6):1471-83. doi: 10.1002/ece3.528. Epub 2013 Apr 17.

When organisms perform a single task, selection leads to phenotypes that maximize performance at that task. When organisms need to perform multiple tasks, a trade-off arises because no phenotype can optimize all tasks. Recent work addressed this question, and...

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Sheftel H, Shoval O, Mayo A, et al. The geometry of the Pareto front in biological phenotype space. Ecol Evol. 2013;3(6):1471-83doi: 10.1002/ece3.528.
Sheftel, H., Shoval, O., Mayo, A., & Alon, U. (2013). The geometry of the Pareto front in biological phenotype space. Ecology and evolution, 3(6), 1471-83. https://doi.org/10.1002/ece3.528
Sheftel, Hila, et al. "The geometry of the Pareto front in biological phenotype space." Ecology and evolution vol. 3,6 (2013): 1471-83. doi: https://doi.org/10.1002/ece3.528
Sheftel H, Shoval O, Mayo A, Alon U. The geometry of the Pareto front in biological phenotype space. Ecol Evol. 2013 Jun;3(6):1471-83. doi: 10.1002/ece3.528. Epub 2013 Apr 17. PMID: 23789060; PMCID: PMC3686184.
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Innovative sources for funding of viral hepatitis prevention and treatment in low- and middle-income countries: a roundtable meeting report.

Hepatology, medicine and policy

FitzSimons D, Hendrickx G, Hallauer J, Larson H, Lavanchy D, Lodewyckx I, Shouval D, Ward J, Van Damme P.
PMID: 30288319
Hepatol Med Policy. 2016 Dec 16;1:16. doi: 10.1186/s41124-016-0022-8. eCollection 2016.

Hepatitis B is preventable and hepatitis C is treatable even if still at a high cost; most people who are infected with hepatitis B or C virus have not been screened yet and are unaware of their infections; and...

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FitzSimons D, Hendrickx G, Hallauer J, et al. Innovative sources for funding of viral hepatitis prevention and treatment in low- and middle-income countries: a roundtable meeting report. Hepatol Med Policy. 2016;1:16doi: 10.1186/s41124-016-0022-8.
FitzSimons, D., Hendrickx, G., Hallauer, J., Larson, H., Lavanchy, D., Lodewyckx, I., Shouval, D., Ward, J., & Van Damme, P. (2016). Innovative sources for funding of viral hepatitis prevention and treatment in low- and middle-income countries: a roundtable meeting report. Hepatology, medicine and policy, 116. https://doi.org/10.1186/s41124-016-0022-8
FitzSimons, David, et al. "Innovative sources for funding of viral hepatitis prevention and treatment in low- and middle-income countries: a roundtable meeting report." Hepatology, medicine and policy vol. 1 (2016): 16. doi: https://doi.org/10.1186/s41124-016-0022-8
FitzSimons D, Hendrickx G, Hallauer J, Larson H, Lavanchy D, Lodewyckx I, Shouval D, Ward J, Van Damme P. Innovative sources for funding of viral hepatitis prevention and treatment in low- and middle-income countries: a roundtable meeting report. Hepatol Med Policy. 2016 Dec 16;1:16. doi: 10.1186/s41124-016-0022-8. eCollection 2016. PMID: 30288319; PMCID: PMC5918494.
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IL-10 induces a STAT3-dependent autoregulatory loop in T.

Science immunology

Poholek AC, Jankovic D, Villarino AV, Petermann F, Hettinga A, Shouval DS, Snapper SB, Kaech SM, Brooks SR, Vahedi G, Sher A, Kanno Y, O'Shea JJ.
PMID: 28713870
Sci Immunol. 2016 Oct;1(5). doi: 10.1126/sciimmunol.aaf8612. Epub 2016 Nov 11.

Blimp-1 expression in T cells extinguishes the fate of T follicular helper cells, drives terminal differentiation, and limits autoimmunity. Although various factors have been described to control Blimp-1 expression in T cells, little is known about what regulates Blimp-1...

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Poholek AC, Jankovic D, Villarino AV, et al. IL-10 induces a STAT3-dependent autoregulatory loop in T. Sci Immunol. 2016;1(5)doi: 10.1126/sciimmunol.aaf8612.
Poholek, A. C., Jankovic, D., Villarino, A. V., Petermann, F., Hettinga, A., Shouval, D. S., Snapper, S. B., Kaech, S. M., Brooks, S. R., Vahedi, G., Sher, A., Kanno, Y., & O'Shea, J. J. (2016). IL-10 induces a STAT3-dependent autoregulatory loop in T. Science immunology, 1(5), . https://doi.org/10.1126/sciimmunol.aaf8612
Poholek, Amanda C, et al. "IL-10 induces a STAT3-dependent autoregulatory loop in T." Science immunology vol. 1,5 (2016). doi: https://doi.org/10.1126/sciimmunol.aaf8612
Poholek AC, Jankovic D, Villarino AV, Petermann F, Hettinga A, Shouval DS, Snapper SB, Kaech SM, Brooks SR, Vahedi G, Sher A, Kanno Y, O'Shea JJ. IL-10 induces a STAT3-dependent autoregulatory loop in T. Sci Immunol. 2016 Oct;1(5). doi: 10.1126/sciimmunol.aaf8612. Epub 2016 Nov 11. PMID: 28713870; PMCID: PMC5509416.
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Coping With Information Style, Self-Concealment, Internalized Stigma, and Family Burden Among Parents of Children With Psychiatric Disorders.

Family process

Sefi S, Shoval G, Lubbad N, Goldzweig G, Hasson-Ohayon I.
PMID: 33521955
Fam Process. 2021 Jan 31; doi: 10.1111/famp.12637. Epub 2021 Jan 31.

Parents of children with psychiatric disorders who are hospitalized in a psychiatric unit often experience family burden. Family burden has been found to be affected by many variables related to parents' personal traits and ways of reacting to the...

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Sefi S, Shoval G, Lubbad N, et al. Coping With Information Style, Self-Concealment, Internalized Stigma, and Family Burden Among Parents of Children With Psychiatric Disorders. Fam Process. 2021;doi: 10.1111/famp.12637.
Sefi, S., Shoval, G., Lubbad, N., Goldzweig, G., & Hasson-Ohayon, I. (2021). Coping With Information Style, Self-Concealment, Internalized Stigma, and Family Burden Among Parents of Children With Psychiatric Disorders. Family process, . https://doi.org/10.1111/famp.12637
Sefi, Shir, et al. "Coping With Information Style, Self-Concealment, Internalized Stigma, and Family Burden Among Parents of Children With Psychiatric Disorders." Family process vol. (2021). doi: https://doi.org/10.1111/famp.12637
Sefi S, Shoval G, Lubbad N, Goldzweig G, Hasson-Ohayon I. Coping With Information Style, Self-Concealment, Internalized Stigma, and Family Burden Among Parents of Children With Psychiatric Disorders. Fam Process. 2021 Jan 31; doi: 10.1111/famp.12637. Epub 2021 Jan 31. PMID: 33521955.
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Grip Force on Steering Wheel as a Measure of Stress.

Frontiers in psychology

Sahar Y, Elbaum T, Wagner M, Musicant O, Hirsh T, Shoval S.
PMID: 34163394
Front Psychol. 2021 Jun 07;12:617889. doi: 10.3389/fpsyg.2021.617889. eCollection 2021.

Driver performance is crucial for road safety. There is a relationship between performance and stress such that too high or too low stress levels (usually characterized by stressful or careless driving, respectively) impair driving quality. Therefore, monitoring stress levels...

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Sahar Y, Elbaum T, Wagner M, et al. Grip Force on Steering Wheel as a Measure of Stress. Front Psychol. 2021;12:617889doi: 10.3389/fpsyg.2021.617889.
Sahar, Y., Elbaum, T., Wagner, M., Musicant, O., Hirsh, T., & Shoval, S. (2021). Grip Force on Steering Wheel as a Measure of Stress. Frontiers in psychology, 12617889. https://doi.org/10.3389/fpsyg.2021.617889
Sahar, Yotam, et al. "Grip Force on Steering Wheel as a Measure of Stress." Frontiers in psychology vol. 12 (2021): 617889. doi: https://doi.org/10.3389/fpsyg.2021.617889
Sahar Y, Elbaum T, Wagner M, Musicant O, Hirsh T, Shoval S. Grip Force on Steering Wheel as a Measure of Stress. Front Psychol. 2021 Jun 07;12:617889. doi: 10.3389/fpsyg.2021.617889. eCollection 2021. PMID: 34163394; PMCID: PMC8215286.
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Development of a proof-of-concept microfluidic portable pathogen analysis system for water quality monitoring.

The Science of the total environment

Gowda HN, Kido H, Wu X, Shoval O, Lee A, Lorenzana A, Madou M, Hoffmann M, Jiang SC.
PMID: 34952082
Sci Total Environ. 2021 Dec 21;813:152556. doi: 10.1016/j.scitotenv.2021.152556. Epub 2021 Dec 21.

Waterborne diseases cause millions of deaths worldwide, especially in developing communities. The monitoring and rapid detection of microbial pathogens in water is critical for public health protection. This study reports the development of a proof-of-concept portable pathogen analysis system...

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Gowda HN, Kido H, Wu X, et al. Development of a proof-of-concept microfluidic portable pathogen analysis system for water quality monitoring. Sci Total Environ. 2021;813:152556doi: 10.1016/j.scitotenv.2021.152556.
Gowda, H. N., Kido, H., Wu, X., Shoval, O., Lee, A., Lorenzana, A., Madou, M., Hoffmann, M., & Jiang, S. C. (2021). Development of a proof-of-concept microfluidic portable pathogen analysis system for water quality monitoring. The Science of the total environment, 813152556. https://doi.org/10.1016/j.scitotenv.2021.152556
Gowda, Hamsa N, et al. "Development of a proof-of-concept microfluidic portable pathogen analysis system for water quality monitoring." The Science of the total environment vol. 813 (2021): 152556. doi: https://doi.org/10.1016/j.scitotenv.2021.152556
Gowda HN, Kido H, Wu X, Shoval O, Lee A, Lorenzana A, Madou M, Hoffmann M, Jiang SC. Development of a proof-of-concept microfluidic portable pathogen analysis system for water quality monitoring. Sci Total Environ. 2021 Dec 21;813:152556. doi: 10.1016/j.scitotenv.2021.152556. Epub 2021 Dec 21. PMID: 34952082.
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Response to a letter by M. Slouma et al.

International journal of rheumatic diseases

Sagiv M, Adawi M, Awisat A, Shouval A, Peri R, Sabbah F, Rosner I, Kessel A, Slobodin G.
PMID: 34970855
Int J Rheum Dis. 2021 Dec 30; doi: 10.1111/1756-185X.14274. Epub 2021 Dec 30.

No abstract available.

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Sagiv M, Adawi M, Awisat A, et al. Response to a letter by M. Slouma et al. Int J Rheum Dis. 2021;doi: 10.1111/1756-185X.14274.
Sagiv, M., Adawi, M., Awisat, A., Shouval, A., Peri, R., Sabbah, F., Rosner, I., Kessel, A., & Slobodin, G. (2021). Response to a letter by M. Slouma et al. International journal of rheumatic diseases, . https://doi.org/10.1111/1756-185X.14274
Sagiv, Michal, et al. "Response to a letter by M. Slouma et al." International journal of rheumatic diseases vol. (2021). doi: https://doi.org/10.1111/1756-185X.14274
Sagiv M, Adawi M, Awisat A, Shouval A, Peri R, Sabbah F, Rosner I, Kessel A, Slobodin G. Response to a letter by M. Slouma et al. Int J Rheum Dis. 2021 Dec 30; doi: 10.1111/1756-185X.14274. Epub 2021 Dec 30. PMID: 34970855.
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Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study.

Journal of physical activity & health

Shuval K, Sahar L, Gabriel KP, Knell G, Weinstein G, Gafni Gal T, Lobelo F, DiPietro L.
PMID: 32908021
J Phys Act Health. 2020 Sep 09;17(10):1042-1046. doi: 10.1123/jpah.2019-0645.

BACKGROUND: The Rapid Assessment Disuse Index (RADI) is a brief tool aimed to promptly assess primary care patients' overall physical inactivity and sedentary behavior. This study examines the relation between physical inactivity and sitting time (RADI) to cardiometabolic risk...

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Shuval K, Sahar L, Gabriel KP, et al. Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study. J Phys Act Health. 2020;17(10):1042-1046doi: 10.1123/jpah.2019-0645.
Shuval, K., Sahar, L., Gabriel, K. P., Knell, G., Weinstein, G., Gafni Gal, T., Lobelo, F., & DiPietro, L. (2020). Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study. Journal of physical activity & health, 17(10), 1042-1046. https://doi.org/10.1123/jpah.2019-0645
Shuval, Kerem, et al. "Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study." Journal of physical activity & health vol. 17,10 (2020): 1042-1046. doi: https://doi.org/10.1123/jpah.2019-0645
Shuval K, Sahar L, Gabriel KP, Knell G, Weinstein G, Gafni Gal T, Lobelo F, DiPietro L. Sedentary Behavior, Physical Inactivity, and Metabolic Syndrome: Pilot Findings From the Rapid Assessment Disuse Index Study. J Phys Act Health. 2020 Sep 09;17(10):1042-1046. doi: 10.1123/jpah.2019-0645. PMID: 32908021.
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Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients.

Bone marrow transplantation

Spyridonidis A, Labopin M, Savani BN, Niittyvuopio R, Blaise D, Craddock C, Socié G, Platzbecker U, Beelen D, Milpied N, Cornelissen JJ, Ganser A, Huynh A, Griskevicius L, Giebel S, Aljurf M, Brissot E, Malard F, Esteve J, Peric Z, Baron F, Ruggeri A, Schmid C, Gilleece M, Gorin NC, Lanza F, Shouval R, Versluis J, Bug G, Fløisand Y, Ciceri F, Sanz J, Bazarbachi A, Nagler A, Mohty M.
PMID: 32144364
Bone Marrow Transplant. 2020 Jun;55(6):1213. doi: 10.1038/s41409-020-0835-3.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Spyridonidis A, Labopin M, Savani BN, et al. Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone Marrow Transplant. 2020;55(6):1213doi: 10.1038/s41409-020-0835-3.
Spyridonidis, A., Labopin, M., Savani, B. N., Niittyvuopio, R., Blaise, D., Craddock, C., Socié, G., Platzbecker, U., Beelen, D., Milpied, N., Cornelissen, J. J., Ganser, A., Huynh, A., Griskevicius, L., Giebel, S., Aljurf, M., Brissot, E., Malard, F., Esteve, J., Peric, Z., Baron, F., Ruggeri, A., Schmid, C., Gilleece, M., Gorin, N. C., Lanza, F., Shouval, R., Versluis, J., Bug, G., Fløisand, Y., Ciceri, F., Sanz, J., Bazarbachi, A., Nagler, A., & Mohty, M. (2020). Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone marrow transplantation, 55(6), 1213. https://doi.org/10.1038/s41409-020-0835-3
Spyridonidis, Alexandros, et al. "Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients." Bone marrow transplantation vol. 55,6 (2020): 1213. doi: https://doi.org/10.1038/s41409-020-0835-3
Spyridonidis A, Labopin M, Savani BN, Niittyvuopio R, Blaise D, Craddock C, Socié G, Platzbecker U, Beelen D, Milpied N, Cornelissen JJ, Ganser A, Huynh A, Griskevicius L, Giebel S, Aljurf M, Brissot E, Malard F, Esteve J, Peric Z, Baron F, Ruggeri A, Schmid C, Gilleece M, Gorin NC, Lanza F, Shouval R, Versluis J, Bug G, Fløisand Y, Ciceri F, Sanz J, Bazarbachi A, Nagler A, Mohty M. Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone Marrow Transplant. 2020 Jun;55(6):1213. doi: 10.1038/s41409-020-0835-3. PMID: 32144364.
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Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients.

Frontiers in psychiatry

Barzilay R, Israel N, Krivoy A, Sagy R, Kamhi-Nesher S, Loebstein O, Wolf L, Shoval G.
PMID: 31133892
Front Psychiatry. 2019 May 06;10:288. doi: 10.3389/fpsyt.2019.00288. eCollection 2019.

Classifying patients' affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that...

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Barzilay R, Israel N, Krivoy A, et al. Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients. Front Psychiatry. 2019;10:288doi: 10.3389/fpsyt.2019.00288.
Barzilay, R., Israel, N., Krivoy, A., Sagy, R., Kamhi-Nesher, S., Loebstein, O., Wolf, L., & Shoval, G. (2019). Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients. Frontiers in psychiatry, 10288. https://doi.org/10.3389/fpsyt.2019.00288
Barzilay, Ran, et al. "Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients." Frontiers in psychiatry vol. 10 (2019): 288. doi: https://doi.org/10.3389/fpsyt.2019.00288
Barzilay R, Israel N, Krivoy A, Sagy R, Kamhi-Nesher S, Loebstein O, Wolf L, Shoval G. Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients. Front Psychiatry. 2019 May 06;10:288. doi: 10.3389/fpsyt.2019.00288. eCollection 2019. PMID: 31133892; PMCID: PMC6512891.
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Showing 1 to 12 of 107 entries