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Article ; Online: A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru.

Díaz, Juan-José / Saldarriaga, Victor

2023 Volume 89, Page(s) 102739

Abstract: We investigate whether exposure to rainfall shocks affects the experience of physical intimate partner violence (P-IPV) among women in rural areas of the Peruvian Andes. Using data from the Demographic and Health Surveys over 2005-2014, we track changes ... ...

Abstract	We investigate whether exposure to rainfall shocks affects the experience of physical intimate partner violence (P-IPV) among women in rural areas of the Peruvian Andes. Using data from the Demographic and Health Surveys over 2005-2014, we track changes in the probability that a woman experiences recent instances of P-IPV after being exposed to a rainfall shock during the last cropping season. Our results indicate that the probability that a woman experiences P-IPV increases by 8.5 percentage points (65 percent) after exposure to a dry, but not a wet, shock during the cropping season. We identify two complementary causal pathways of this effect: increased economic insecurity and poverty-related stress that deteriorates men's emotional well-being and mental health, and reduced female empowerment that affects women's ability to negotiate their preferences within the relationship.
MeSH term(s)	Male ; Humans ; Female ; Spouse Abuse ; Peru/epidemiology ; Love ; Intimate Partner Violence/psychology ; Mental Health ; Risk Factors
Language	English
Publishing date	2023-02-18
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	625797-5
ISSN	1879-1646 ; 0167-6296
ISSN (online)	1879-1646
ISSN	0167-6296
DOI	10.1016/j.jhealeco.2023.102739
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Article: Neuromodulation Techniques in Chronic Refractory Coccydynia: A Narrative Review.

Rahimibarghani, Sarvenaz / Morgan, Richard / Diaz, Jose Juan

Pain and therapy

2024 Volume 13, Issue 1, Page(s) 53–67

Abstract: Refractory coccydynia is a condition characterized by severe coccygeal pain and poses a challenging management dilemma for clinicians. Advancements in neuromodulation (NM) technology have provided benefits to people experiencing chronic pain that is ... ...

Abstract	Refractory coccydynia is a condition characterized by severe coccygeal pain and poses a challenging management dilemma for clinicians. Advancements in neuromodulation (NM) technology have provided benefits to people experiencing chronic pain that is resistant to standard treatments. This review aims to summarize the spectrum of current NM techniques employed in the treatment of refractory coccydynia along with their effectiveness. A review of studies in the scientific literature from 2012 to 2023 was conducted, revealing a limited number of case reports. Although the available evidence at this time suggests significant pain relief with the utilization of NM techniques, the limited scope and nature of the studies reviewed emphasize the need for large-scale, rigorous, high-level research in this domain in order to establish a comprehensive understanding of the role of NM and its effectiveness in the management of intractable coccydynia.
Language	English
Publishing date	2024-01-04
Publishing country	New Zealand
Document type	Journal Article ; Review
ZDB-ID	2701614-6
ISSN	2193-651X ; 2193-8237
ISSN (online)	2193-651X
ISSN	2193-8237
DOI	10.1007/s40122-023-00572-4
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Article ; Online: Review of the EAST Practice Management Guideline: Evaluation and Management of Traumatic Diaphragmatic Injuries.

Diaz, Jose J

JAMA surgery

2019 Volume 154, Issue 7, Page(s) 666–667

MeSH term(s)	Diaphragm/injuries ; Disease Management ; Humans ; Laparoscopy/methods ; Practice Guidelines as Topic ; Thoracic Injuries/surgery ; Wounds, Penetrating/surgery
Language	English
Publishing date	2019-05-08
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2701841-6
ISSN	2168-6262 ; 2168-6254
ISSN (online)	2168-6262
ISSN	2168-6254
DOI	10.1001/jamasurg.2019.1156
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Article: Laparoscopic-Assisted Vaginal Hysterectomy With Dense Bladder Adhesions and Absent Cervix: A Case Report With a Descriptive Video of the Entire Procedure.

Inocencio-Diaz, Jerrelyn J / Liang, Felice J / Boyanovsky, Boris B

Cureus

2024 Volume 16, Issue 4, Page(s) e57482

Abstract: Hysterectomy is one of the most frequently performed surgical procedures in the United States. Hysterectomy for benign gynecological reasons can be performed through several approaches: abdominal, laparoscopic, laparoscopically assisted vaginal, robotic- ... ...

Abstract	Hysterectomy is one of the most frequently performed surgical procedures in the United States. Hysterectomy for benign gynecological reasons can be performed through several approaches: abdominal, laparoscopic, laparoscopically assisted vaginal, robotic-assisted, and vaginal natural orifice hysterectomy. The choice of approach is strongly influenced by factors such as previous procedures, safety, and recovery process. Currently, vaginal hysterectomy, laparoscopic-assisted vaginal hysterectomy (LAVH), assisted vaginal hysterectomy, and robotic-assisted vaginal hysterectomy are considered minimally invasive approaches with multiple benefits to the patient such as less trauma, shorter operative time, and shorter postoperative period. However, in patients with pelvic adhesions, adhesions within the abdominal cavity, especially omental adhesions to the abdominal wall, and adhesions between the uterus and the bladder caused by multiple cesarian sections or prior surgery on the cervix, these minimally invasive approaches are problematic. In this report, we describe in detail our approach to LAVH in a patient with severe abdominal adhesions and an absent cervix. We believe that our approach is safe and relatively fast compared to an open abdominal procedure and, therefore, it may help gynecologic surgeons-in-training nationwide.
Language	English
Publishing date	2024-04-02
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.57482
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Article: Nouvelles cibles pour le développement de molécules antiherpétiques.

Morfin, F / Frobert, E / Calle, A / Thouvenot, D / Diaz, J-J / Greco, A

Virologie (Montrouge, France)

2022 Volume 11, Issue 6, Page(s) 423–432

Abstract: Although infections are often subclinical, herpes simplex virus (HSV) can cause mild to severe diseases, especially in immunocompromised patients. There are few drugs licensed for the treatment of HSV infections. Most target the viral DNA polymerase, ... ...

Title translation	New targets for new anti-herpes drugs.
Abstract	Although infections are often subclinical, herpes simplex virus (HSV) can cause mild to severe diseases, especially in immunocompromised patients. There are few drugs licensed for the treatment of HSV infections. Most target the viral DNA polymerase, such as acyclovir that remains the reference treatment some thirty years after its discovery! Extensive clinical use of this drug has led to the emergence of resistant strains, mainly in immunocompromised patients, these infections can be managed with only two drugs, foscarnet and cidofovir, both much more toxic than acyclovir. This highlights the crucial need for the development of new anti-herpes drugs that can inhibit infection by both wild-type viruses and drug-resistant strains. Over the last few years, significant efforts have been made to set up a range of strategies for the identification of potential new antiviral drugs. One alternative is to develop drugs with different mechanisms of action. The present article reviews potential viral and cellular targets that are now known to be involved in HSV multiplication and for which specific inhibitors with anti-HSV activity, at least in cell culture, have been identified. These drugs inhibit viral proteins involved in viral replication (DNA polymerase, ribonucleotide reductase or helicase-primase complex). Other drugs acting on cellular proteins needed for viral replication have also been described; these drugs are targetting cyclin-dependent kinases or the polyamine biosynthetic pathway.
Language	French
Publishing date	2022-09-21
Publishing country	France
Document type	English Abstract ; Journal Article
ZDB-ID	2118387-9
ISSN	1950-6961 ; 1267-8694
ISSN (online)	1950-6961
ISSN	1267-8694
DOI	10.1684/vir.2011.7246
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Article ; Online: Quand l’épitranscriptomique rencontre le ribosome : une nouvelle piste en cancérologie.

Marcel, Virginie / Diaz, Jean-Jacques

Bulletin du cancer

2020 Volume 107, Issue 3, Page(s) 292–293

Title translation	When epitranscriptomics meets the ribosome: A new avenue in oncology.
MeSH term(s)	Autistic Disorder ; Humans ; Medical Oncology ; Ribosomes
Language	French
Publishing date	2020-02-27
Publishing country	France
Document type	Letter ; Comment
ZDB-ID	213270-9
ISSN	1769-6917 ; 0007-4551
ISSN (online)	1769-6917
ISSN	0007-4551
DOI	10.1016/j.bulcan.2020.02.001
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Article ; Online: Dementia and the Critically Ill Older Adult.

Ghneim, Mira / Diaz, Jose J

Critical care clinics

2020 Volume 37, Issue 1, Page(s) 191–203

Abstract: Dementia is a terminal illness that leads to progressive cognitive and functional decline. As the elderly population grows, the incidence of dementia in hospitalized older adults increases and is associated with poor short-term and long-term outcomes. ... ...

Abstract	Dementia is a terminal illness that leads to progressive cognitive and functional decline. As the elderly population grows, the incidence of dementia in hospitalized older adults increases and is associated with poor short-term and long-term outcomes. Delirium is associated with an accelerated cognitive decline in hospitalized patients with dementia. The first step in the management of dementia is accurate and early diagnosis. Evidence-based management guidelines in the setting of critical illness and dementia are lacking. The cornerstone of management is defining goals of care early in the course of hospitalization and using palliative care and hospice when deemed appropriate.
MeSH term(s)	Aged ; Critical Illness ; Delirium/diagnosis ; Delirium/epidemiology ; Delirium/etiology ; Dementia/diagnosis ; Dementia/epidemiology ; Dementia/therapy ; Hospitalization ; Humans ; Palliative Care
Language	English
Publishing date	2020-10-26
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	1006423-0
ISSN	1557-8232 ; 0749-0704
ISSN (online)	1557-8232
ISSN	0749-0704
DOI	10.1016/j.ccc.2020.08.010
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Article ; Online: Employment and wage effects of sugar-sweetened beverage taxes and front-of-package warning label regulations on the food and beverage industry: Evidence from Peru

Díaz, Juan-José / Sanchez, Alan / Diez-Canseco, Francisco / Jaime Miranda, J. / Popkin, Barry M.

Food Policy. 2023 Feb., v. 115 p.102412-

2023

Abstract: Peru increased its sugar-sweetened beverage tax by 8 percentage points (from 17% to 25%) in 2018 and in 2019 imposed front-of-package warning labels on processed and ultra-processed foods and beverages high in sugar, saturated fats, and sodium or ... ...

Abstract	Peru increased its sugar-sweetened beverage tax by 8 percentage points (from 17% to 25%) in 2018 and in 2019 imposed front-of-package warning labels on processed and ultra-processed foods and beverages high in sugar, saturated fats, and sodium or containing trans fats. We assess the pre-COVID-19 impacts of these two policies on aggregate formal employment and average wages in the food and beverage industry. In the analysis we use monthly administrative data from the Ministry of Labor in Peru for 127 manufacturing industries from January 2016 through February 2020 and pair an interrupted time series analysis with the synthetic control method. Overall we find that the sugar-sweetened beverage tax increase and the front-of-package label regulations did not result in job or wage losses. These results are consistent with outcomes from previous studies that have separately looked at the effects of sugar-sweetened beverage taxes (in the United States and Mexico) and front-of-package label regulations (in Chile). Our key contribution is that we assess the effects of both policies for the same country. Consistent with the global literature, our findings suggest that, due to industry substitutions and other actions, employment and wages were not impacted even in industries affected by both policies in a short time. The lack of job and wage losses in the Peruvian experience, the scope of the country's policies, and the form of implementation can advise other countries engaging in similar reforms.
Keywords	beverage industry ; control methods ; employment ; food policy ; labor ; sodium ; sugar sweetened beverages ; sugars ; time series analysis ; Chile ; Mexico ; Peru ; Sugar-sweetened beverage tax ; Front-of-package warning labels ; Employment impact ; Wage impact
Language	English
Dates of publication	2023-02
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	194840-4
ISSN	0306-9192
ISSN	0306-9192
DOI	10.1016/j.foodpol.2023.102412
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Article ; Online: HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

Lastra-Díaz, Juan J / Lara-Clares, Alicia / Garcia-Serrano, Ana

BMC bioinformatics

2022 Volume 23, Issue 1, Page(s) 23

Abstract: Background: Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic ... ...

Abstract	Background: Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic measures libraries based on the aforementioned ontologies. However, current state-of-the-art semantic measures libraries have some performance and scalability drawbacks derived from their ontology representations based on relational databases, or naive in-memory graph representations. Likewise, a recent reproducible survey on word similarity shows that one hybrid IC-based measure which integrates a shortest-path computation sets the state of the art in the family of ontology-based semantic measures. However, the lack of an efficient shortest-path algorithm for their real-time computation prevents both their practical use in any application and the use of any other path-based semantic similarity measure. Results: To bridge the two aforementioned gaps, this work introduces for the first time an updated version of the HESML Java software library especially designed for the biomedical domain, which implements the most efficient and scalable ontology representation reported in the literature, together with a new method for the approximation of the Dijkstra's algorithm for taxonomies, called Ancestors-based Shortest-Path Length (AncSPL), which allows the real-time computation of any path-based semantic similarity measure. Conclusions: We introduce a set of reproducible benchmarks showing that HESML outperforms by several orders of magnitude the current state-of-the-art libraries in the three aforementioned biomedical ontologies, as well as the real-time performance and approximation quality of the new AncSPL shortest-path algorithm. Likewise, we show that AncSPL linearly scales regarding the dimension of the common ancestor subgraph regardless of the ontology size. Path-based measures based on the new AncSPL algorithm are up to six orders of magnitude faster than their exact implementation in large ontologies like SNOMED-CT and GO. Finally, we provide a detailed reproducibility protocol and dataset as supplementary material to allow the exact replication of all our experiments and results.
MeSH term(s)	Biological Ontologies ; Medical Subject Headings ; Reproducibility of Results ; Semantics ; Systematized Nomenclature of Medicine
Language	English
Publishing date	2022-01-06
Publishing country	England
Document type	Journal Article
ZDB-ID	2041484-5
ISSN	1471-2105 ; 1471-2105
ISSN (online)	1471-2105
ISSN	1471-2105
DOI	10.1186/s12859-021-04539-0
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Article ; Online: A reproducible experimental survey on biomedical sentence similarity: A string-based method sets the state of the art.

Lara-Clares, Alicia / Lastra-Díaz, Juan J / Garcia-Serrano, Ana

PloS one

2022 Volume 17, Issue 11, Page(s) e0276539

Abstract: This registered report introduces the largest, and for the first time, reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the state of the art of the problem; (2) to solve some reproducibility ... ...

Abstract	This registered report introduces the largest, and for the first time, reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the state of the art of the problem; (2) to solve some reproducibility problems preventing the evaluation of most current methods; (3) to evaluate several unexplored sentence similarity methods; (4) to evaluate for the first time an unexplored benchmark, called Corpus-Transcriptional-Regulation (CTR); (5) to carry out a study on the impact of the pre-processing stages and Named Entity Recognition (NER) tools on the performance of the sentence similarity methods; and finally, (6) to bridge the lack of software and data reproducibility resources for methods and experiments in this line of research. Our reproducible experimental survey is based on a single software platform, which is provided with a detailed reproducibility protocol and dataset as supplementary material to allow the exact replication of all our experiments and results. In addition, we introduce a new aggregated string-based sentence similarity method, called LiBlock, together with eight variants of current ontology-based methods, and a new pre-trained word embedding model trained on the full-text articles in the PMC-BioC corpus. Our experiments show that our novel string-based measure establishes the new state of the art in sentence similarity analysis in the biomedical domain and significantly outperforms all the methods evaluated herein, with the only exception of one ontology-based method. Likewise, our experiments confirm that the pre-processing stages, and the choice of the NER tool for ontology-based methods, have a very significant impact on the performance of the sentence similarity methods. We also detail some drawbacks and limitations of current methods, and highlight the need to refine the current benchmarks. Finally, a notable finding is that our new string-based method significantly outperforms all state-of-the-art Machine Learning (ML) models evaluated herein.
MeSH term(s)	Reproducibility of Results ; Language ; Software ; Algorithms ; Machine Learning
Language	English
Publishing date	2022-11-21
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0276539
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