bluuebunny/crossref_metadata_2025_split huggingface dataset:
Traumatic brain injury epidemiology and rehabilitation in Ireland: a protocol paper
Authors: O'Donnell Kate , Healy Andrea , Burke Teresa , Staines Anthony , McGettrick Grainne , Kwasky Andrea , O'Halloran Philip , Corrigan Catherine 
Published: September 2022

Background: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. In Ireland, a dearth of research means that we neither know the number of people affected by TBI, nor have the required data to improve neuro-rehabilitation services. This is a study protocol to examine the epidemiology and pathways through rehabilitation for a cohort of TBI survivors in the Republic of Ireland. Aims: To document the epidemiological data of TBIs in Ireland.To explore the pathway of TBI survivors through rehabilitation/health services.To document the experiences of those providing care for TBI survivors in Ireland Methods: This is a quantitative cohort study. Existing routine datasets will be used to report epidemiological data. Participants with moderate or severe TBI will be recruited through two brain injury service providers, two acute hospitals that provide neurosurgical services, and the National Rehabilitation Hospital. Participants with TBI will be surveyed on two separate occasions, to explore their use of health and rehabilitation services. Those providing care or support to TBI survivors will be surveyed, on one occasion. Additionally, data from the medical records of TBI survivors will be extracted to capture key information about their TBI, such as mechanism of injury, severity, hospitalisation and follow-up. TBI survivors’ use of health care will be followed prospectively for six months. Expected outcomes: The epidemiological data of TBI in Ireland will be documented. Data on survivors’ experiences of how rehabilitation services are accessed, and any barriers encountered with rehabilitation/health services will be reported. The experiences of those providing care or support for TBI survivors will be captured. It is expected that the outcomes of the study will support advocacy efforts toward the redevelopment of neuro-rehabilitation services in the Republic of Ireland.
Development of an online pan-European Integrated Pest Management Resource Toolbox
Authors: Ramsden Mark , Furiosi Margherita , Debenedettis Paolo , Stojacic Isidora , Mendes Marta , Munier-Jolain Nicolas , Caffi Tito 
Published: September 2022

The IPM WORKS IPM Resource Toolbox (Toolbox) has been developed as an interactive, online repository of integrated pest management (IPM) resources. Populated with high priority resources for farmers and their advisors during the project, its structure enables additional resources added over time. The repository is a public interactive website, available to anyone looking to access, understand, and implement IPM. Built on an open-source content management system, the toolbox is designed to require minimal post-production site maintenance and support, while being easily expanded to integrate resources from future initiatives. To ensure an efficient but comprehensive website design, population, maintenance, a survey of target user needs was conducted. Different type of IPM stakeholders, both internal and external to the IPMworks project, ranked the key requirements for the Toolbox, such as practical information about diseases and pests’ management and economic thresholds: 343 feedbacks and answers from a survey of 10 questions, carried out across Europe in four languages, provided the key elements and foundation for the IPM Resource Toolbox website development and specification. The Toolbox resources are explained in different languages, with images, divided by topics, with the possibility to find additional details and accessible by smartphone.
The Fragility-Constrained Vehicle Routing Problem with Time Windows
Authors: Altman Clément , Desaulniers Guy , Errico Fausto 
Published: September 2022

We study a new variant of the well-studied vehicle routing problem with time windows (VRPTW), called the fragility-constrained VRPTW, which assumes that (1) the capacity of a vehicle is organized in multiple identical stacks; (2) all items picked up at a customer are either “fragile” or not; (3) no nonfragile items can be put on top of a fragile item (the fragility constraint); and (4) no en route load rearrangement is possible. We first characterize the feasibility of a route with respect to this fragility constraint. Then, to solve this new problem, we develop an exact branch-price-and-cut (BPC) algorithm that includes a labeling algorithm exploiting this feasibility characterization to efficiently generate feasible routes. This algorithm is benchmarked against another BPC algorithm that deals with the fragility constraint in the column generation master problem through infeasible path cuts. Our computational results show that the former BPC algorithm clearly outperforms the latter in terms of computational time and that the fragility constraint has a greater impact on the optimal solution cost (compared with that of the VRPTW) when vehicle capacity decreases, stack height increases, and for a more balanced mix of customers with fragile and nonfragile items. Funding: This work was supported by the Natural Sciences and Engineering Research Council of Canada [Grants RGPIN 2015-06289 and RGPIN 2022-03916]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2022.1168 .
Multiclass Classification on Soybean and Weed Species Using a Customized Greenhouse Robotic and Hyperspectral Combination System
Authors: Ahmed Mohammed Raju , Ram Billy , Koparan Cengiz , Howatt Kirk , Zhang Yu , Sun Xin 
Published: September 2022

HighlightsA novel combination of robotic and hyperspectral camera systems was customized to collect data in a greenhouse environment.Five popular weed species and crop (soybean) data were collected and analyzed in this research.Seven different types of hyperspectral data preprocessing methods were tested to obtain the best performance of the model. Abstract. Soybean production is greatly affected by different types of weeds such as horseweed, kochia, ragweed, redroot pigweed, and waterhemp in the midwestern region of the United States. Identification of the soybean plants and the weeds is crucial to controlling the weeds in precision agriculture. The objective of this study was to classify soybean plants and five weed species where a hyperspectral imaging camera with a spectral range of 400 to 1000 nm was used to acquire the images. To acquire the HSI images, a customized robotic hyperspectral data collection scanning platform was developed and used in the greenhouse. A total of 983 hyperspectral data cubes were captured from the greenhouse environment (n = 252, soybean; n = 731, weeds). Spectral information was extracted from the collected images and then a classification model was developed by applying partial least squares discriminant analysis (PLS-DA). To construct the calibration and validation data set, the images were each divided into 70% and 30% ratios for model training and testing, respectively. Seven types of data preprocessing techniques, including mean normalization, maximum normalization, range normalization, multiplicative scatter correction (MSC), standard normal variate (SNV), Savitzky–Golay first derivatives, and Savitzky–Golay second derivatives, were explored individually and accepted as the best preprocessing method based on the highest performance in calibration and validation results. The results showed maximum validation model performance was found at 86.2% by applying the Savitzky–Golay second derivatives preprocessing method for multiclass and 89.4% for binary class. The most important wavelength information was evaluated from the beta coefficient developed using the same preprocessing method. Finally, chemical images were generated using a best-performer model to identify the soybean plants from weeds. The generated images showed a significant difference in chemical composition between soybean and weed plants at 443 nm, 633 nm, 743 nm, and 968 nm. The correlation between these peaks and the chemical components of the plants involves a-carotenoid, chlorophyll, and moisture, respectively. This study shows promising results for the application of HSI in weed control systems for soybeans and relevant weed identification in precision agriculture applications. Keywords: Greenhouse robotic system, Hyperspectral imaging, Precision agriculture, Weed identification.
RAGE and HMGB1 expressions in fetal membranes of premature rupture of membranes patients
Authors: Sudiarta Ketut Edy , Candra Cindy Jennilyn , Khan Joan , Rahadianto  , Handajani Fitri 
Published: September 2022

BACKGROUND Premature rupture of membranes (PROM) often occurs in pregnancy. The fetal membrane weakening is caused by inflammation involving receptor activation for advanced glycation end-products (RAGE) and high mobility group box protein 1 (HMGB1). The associations between RAGE and HMGB1 with PROM are rarely studied. Hence, this study aimed to determine those associations in fetal membranes with PROM occurrence.
METHODS This case-control study was conducted at Dr. Ramelan Central Naval Hospital, Surabaya, Indonesia, from August to November 2019. The subjects, determined using a non-probability sampling method (a saturated sample), were divided into PROM and normal pregnancy with intact fetal membranes (control) groups. Fetal membrane specimens were collected during vaginal and cesarean section deliveries. The expressions of RAGE and HMGB1 were determined using the immunohistochemical method and further analyzed using the Mann–Whitney U test.
RESULTS The expression of RAGE in fetal membranes with PROM was significantly higher than the control (52.74% versus 14.9% expression/mm2, p<0.001), as well as the expression of HMGB1 (45.9% versus 8.5% expression/mm2, p<0.001).
CONCLUSIONS The higher expressions of RAGE and HMGB1 in fetal membranes were associated with PROM.
Intravenous to oral transition of antibiotics for gram-negative bloodstream infection at a University hospital in Thailand: Clinical outcomes and predictors of treatment failure
Authors: Pradubkham Titawadee , Suwanpimolkul Gompol , Gross Alan Edward , Nakaranurack Chotirat 
Published: September 2022

Background
Limited studies evaluate the outcome of intravenous antibiotics to oral transition in Gram-negative bloodstream infection (GN-BSI), particularly GN-BSI originating outside the urinary tract. This study aimed to evaluate treatment success in patients with GN-BSI treated with either intravenous therapy or intravenous to oral transition and to identify factors associated with treatment failure in those undergoing intravenous to oral transition.

Methods
A retrospective cohort study was conducted at King Chulalongkorn Memorial Hospital, Thailand. Patients were included if they were ≥18 years of age, hospitalized in general medical wards with GN-BSI between August 1, 2015, to July 31, 2020, received intravenous antibiotic agents and had a functioning gastrointestinal tract.

Results
Of 955 patients, 545 (57.1%) were in the intravenous to oral transition group. The urinary tract was the most common source of infection (38.8%). Ciprofloxacin was the most prescribed oral antibiotic (53%). Treatment success occurred in 94.3% in the intravenous antibiotic to oral transition group. There was no significant difference in treatment success between the two groups (P = 0.790) with a concordant result after using propensity score matching (P = 0.223). Independent predictors of treatment failure in the intravenous to oral transition group included metastatic solid cancer (aOR = 4.355), HIV infection with CD4 < 200 cells/mm3 (aOR = 8.452), qSOFA score ≥ 2 (aOR = 2.545), multidrug-resistant infection (aOR = 2.849), and respiratory tract infection (aOR = 8.447). Hospital length of stay in the intravenous to oral transition group was shorter than in the intravenous group (P < 0.001).

Conclusions
Intravenous to oral transition may be a practical approach in GN-BSI. Patients with Gram-negative bacteremia who have HIV infection with CD4 < 200 cells/mm3, multidrug-resistant infections, and respiratory tract sources of infection may not be ideal candidates for this approach. Future research is needed from a randomized controlled trial.
Magnetoencephalographic evaluation of repaired lip sensation in patients with cleft lip
Authors: Kitayama Chihiro , Shimada Eriya , Hihara Hiroki , Kanno Akitake , Nakasato Nobukazu , Imai Yoshimichi , Sato Akimitsu , Kawashima Ryuta , Igarashi Kaoru , Kanetaka Hiroyasu 
Published: September 2022

Background
Cleft lip is the most common congenital anomaly worldwide. Nevertheless, lip somatosensory characteristics of patients with cleft lip after cheiloplasty have not yet been determined. The present study used magnetoencephalography to objectively evaluate the lip sensation in patients with unilateral cleft lip to establish a new objective evaluation method.

Methods
Participants were 15 patients with unilateral cleft lip after cheiloplasty (UCL group), and 30 healthy young subjects (control group). Five points of the upper and lower lips were stimulated electrically to measure somatosensory evoked magnetic fields (SEFs). The sources of the magnetic fields were modeled as single equivalent current dipoles (ECDs). ECDs located on the central sulcus by superimposition on magnetic resonance images were analyzed. Latency and intensity at 50–75 ms (cP60m) observed in the UCL group were compared with those in the control group. Thresholds of tactile stimuli in both groups were obtained using Semmes–Weinstein monofilaments for subjective sensory evaluation.

Results
No significant difference was found in the intensity of the cP60m or subjective evaluation between the groups. However, the latency of the cP60m was significantly longer in the upper lip of the UCL group than in the control group.

Conclusions
SEFs showed a difference in lip sensation between the UCL group and the control group, suggesting that longer latency might be caused by the effects of surgical scarring on the neurotransmission pathway. These results suggest SEFs as useful for the objective evaluation of lip sensations. This study might improve future surgical procedures and lip functions of patients with cleft lip.
Diagnostic yield of diffusion-weighted brain MR imaging in patients with cognitive impairment: Large cohort study with 3,298 patients
Authors: Kim Minjae , Kim Sang Yeong , Suh Chong Hyun , Shim Woo Hyun , Lee Jae-Hong , Guenette Jeffrey P. , Huang Raymond Y. , Kim Sang Joon 
Published: September 2022

Objective
There is a paucity of large cohort-based evidence regarding the need and added value of diffusion-weighted imaging (DWI) in patients attending outpatient clinic for cognitive impairment. We aimed to evaluate the diagnostic yield of DWI in patients attending outpatient clinic for cognitive impairment.

Materials and methods
This retrospective, observational, single-institution study included 3,298 consecutive patients (mean age ± SD, 71 years ± 10; 1,976 women) attending outpatient clinic for cognitive impairment with clinical dementia rating ≥ 0.5 who underwent brain MRI with DWI from January 2010 to February 2020. Diagnostic yield was defined as the proportion of patients in whom DWI supported the diagnosis that underlies cognitive impairment among all patients. Subgroup analyses were performed by age group and sex, and the Chi-square test was performed to compare the diagnostic yields between groups.

Results
The overall diagnostic yield of DWI in patients with cognitive impairment was 3.2% (106/3,298; 95% CI, 2.6–3.9%). The diagnostic yield was 2.5% (83/3,298) for acute or subacute infarct, which included recent small subcortical infarct for which the diagnostic yield was 1.6% (54/3,298). The diagnostic yield was 0.33% (11/3,298) for Creutzfeldt-Jakob disease (CJD), 0.15% (5/3,298) for transient global amnesia (TGA), 0.12% (4/3,298) for encephalitis and 0.09% (3/3,298) for lymphoma. There was a trend towards a higher diagnostic yield in the older age group with age ≥ 70 years old (3.6% vs 2.6%, P = .12). There was an incremental increase in the diagnostic yield from the age group 60–69 years (2.6%; 20/773) to 90–99 years (8.0%; 2/25).

Conclusion
Despite its low overall diagnostic yield, DWI supported the diagnosis of acute or subacute infarct, CJD, TGA, encephalitis and lymphoma that underlie cognitive impairment, and there was a trend towards a higher diagnostic yield in the older age group.
Interleukin-17, a salivary biomarker for COVID-19 severity
Authors: Sharif-Askari Fatemeh Saheb , Sharif-Askari Narjes Saheb , Hafezi Shirin , Mdkhana Bushra , Alsayed Hawra Ali Hussain , Ansari Abdul Wahid , Mahboub Bassam , Zakeri Adel M. , Temsah Mohamad-Hani , Zahir Walid , Hamid Qutayba , Halwani Rabih 
Published: September 2022

Objectives
T-helper 17 cell-mediated response and their effector IL-17 cytokine induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a major cause of COVID-19 disease severity and death. Therefore, the study aimed to determine if IL-17 level in saliva mirrors its circulatory level and hence can be used as a non-invasive biomarker for disease severity.

Methods
Interleukin-17 (IL-17) level was evaluated by ELISA in saliva and blood of 201 adult COVID-19 patients with different levels of severity. The IL-17 saliva level was also associated with COVID-19 disease severity, and need for mechanical ventilation and/or death within 29 days after admission of severe COVID-19 patients.

Results
We found that IL-17 level in saliva of COVID-19 patients reflected its circulatory level. High IL-17 level in saliva was associated with COVID-19 severity (P<0.001), need for mechanical ventilation (P = 0.002), and/or death by 29 days (P = 0.002), after adjusting for patients’ demographics, comorbidity, and COVID-19 serum severity markers such as D-Dimer, C-reactive protein, and ferritin.

Conclusion
We propose that saliva IL-17 level could be used as a biomarker to identify patients at risk of developing severe COVID-19.
Examining adherence to oral anticancer medications through a human factors engineering framework: Protocol for a scoping review
Authors: Lin Irene D. , Shotts Matthew B. , Al-Hader Ahmad , Weddle Kellie Jones , Holden Richard J. , Mueller Emily L. , Macik Monica R. , Ramirez Mirian , Abebe Ephrem 
Published: September 2022

Background
The number of oral anticancer medications has increased over the past few decades, opening new possibilities in cancer care and improving convenience for patients and caregivers. However, adherence levels continue to be suboptimal, potentially jeopardizing therapeutic benefits. Poor adherence levels may indicate gaps in current strategies and interventions aimed at enhancing medication adherence and the extent to which they address the complex and multi-faceted medication management needs of patients and their caregivers. Beyond commonly understood barriers (e.g., forgetting to take medications), adherence interventions must address systemic barriers that may not be fully appreciated by members of the healthcare system. This scoping review aims to apply a systems framework (human factors engineering framework) to examine system elements targeted by adherence enhancing interventions.

Methods
Studies published in English, reporting adherence interventions for oral anticancer medications with adherence and/or persistence as primary outcome measures will be included in this review. We will search the following electronic databases with no limits on dates: Ovid MEDLINE, Cochrane Library, Web of Science Core Collection, Embase, CINAHL Complete, PsycInfo, and Scopus. Two reviewers will independently screen study titles and abstracts for inclusion with a third reviewer adjudicating conflicts. Full text of included articles will be used to extract information on systemic barriers targeted by adherence interventions as well as information about intervention type, outcomes, and study characteristics. Extracted information will be synthesized to generate a summary of work system factors targeted by adherence interventions.

Discussion
Through application of a systems-based approach, this scoping review is expected to shed light on the complex and multifaceted nature of factors influencing adherence to oral anticancer agents. The review may also identify areas that are ripe for further research.
Trajectories of posttraumatic growth and posttraumatic depreciation: A one-year prospective study among people living with HIV
Authors: Pięta Małgorzata , Rzeszutek Marcin 
Published: September 2022

Objective
Posttraumatic growth (PTG) and posttraumatic depreciation (PTD) are considered two sides of growth after trauma. Nevertheless, previous studies pointed out that in trauma living with a life-threatening illness, they may be experienced as two independently and share distinct predictors. In our study we aimed to find the different trajectories of PTG and PTD among a sample of people living with HIV (PLWH) and to investigate its predictors out of psychological resilience, and gain and loss of resources from the conservation of resources theory (COR).

Methods
We designed a longitudinal study that consisted of three measurements at 6-month intervals, and we recruited, respectively, 87, 85 and 71 PLWH. Each time participants filled out the following questionnaires: the expanded version of the PTG and PTD Inventory (PTGDI-X), the Brief Resilience Scale (BRS), the Conservation of Resources Evaluation (COR-E), and a survey on sociodemographic and medical data.

Results
We observed two separate trajectories of PTG and PTD within participants and found that each of the trajectories were related to different predictors from the studied variables. More specifically, we found a positive relationship between resilience and a descending PTD trajectory that stabilized over time. Gain of resources generally predicted a PTG trajectory, while loss of resources predicted the dynamics of PTD.

Conclusions
Including two parallel constructs, i.e., PTG and PTD, confirmed the independence of their mechanisms in growth processes among PLWH. The initial insight concerning the role of resilience and resources in PTG/PTD processes may inspire more effective planning for psychological help for PLWH, and it may stimulate studies on growth after trauma to further examine the two sides of this phenomenon.