bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the Information Obtainable from Comparative Judgments
Authors: Bürkner Paul-Christian 
Published: February 2022

AbstractPersonality tests employing comparative judgments have been proposed as an alternative to Likert-type rating scales. One of the main advantages of a comparative format is that it can reduce faking of responses in high-stakes situations. However, previous research has shown that it is highly difficult to obtain trait score estimates that are both faking resistant and sufficiently accurate for individual-level diagnostic decisions. With the goal of contributing to a solution, I study the information obtainable from comparative judgments analyzed by means of Thurstonian IRT models. First, I extend the mathematical theory of ordinal comparative judgments and corresponding models. Second, I provide optimal test designs for Thurstonian IRT models that maximize the accuracy of people’s trait score estimates from both frequentist and Bayesian statistical perspectives. Third, I derive analytic upper bounds for the accuracy of these trait estimates achievable through ordinal Thurstonian IRT models. Fourth, I perform numerical experiments that complement results obtained in earlier simulation studies. The combined analytical and numerical results suggest that it is indeed possible to design personality tests using comparative judgments that yield trait scores estimates sufficiently accurate for individual-level diagnostic decisions, while reducing faking in high-stakes situations. Recommendations for the practical application of comparative judgments for the measurement of personality, specifically in high-stakes situations, are given.
Clinically guided core biopsy and cutaneous punch biopsy in the evaluation of breast lesions: a necessary test or an obsolete skill?
Authors: Alameer Aqeel , Common Matthew , Elwahab Sami Abd , Boland Michael , Allen Michael , Power Colm , Hambly Niamh , Kerr Jennifer , Ni Mhuircheartaigh Neasa , Staunton Marie , Hill Arnold D. K. , Duke Deirdre 
Published: February 2022

Abstract
Objective
The vast majority of breast cancers are diagnosed via image-guided procedures yet despite significant advances, imaging does not identify all breast malignancies. Clinically suspicious breast lesions with normal breast imaging remain a cause for concern. The aim of this study is to determine the diagnostic value of clinical core and cutaneous punch biopsies in the diagnosis of breast malignancy in clinically suspicious lesions with normal breast imaging.

Methods
All patients with suspicious clinical breast findings and normal imaging who underwent a clinical core and/or cutaneous punch biopsy from 2012 to 2019 were reviewed retrospectively. Patients with subsequent breast malignant diagnosis were analysed.

Results
A total of 283 biopsies (166 clinical core, 117 cutaneous punch) performed over the 7-year period were included in the analysis. A total of 263/283 (93%) yielded a benign outcome. A total of 2/283 (0.7%) yielded B3 lesions (probably benign). These lesions were benign on final surgical excision. A total of 18/283 (6.3%) yielded a malignant histopathology. Sixteen out of 18 were cutaneous punch biopsies, and 2/18 were clinical core biopsies. A total of 14/18 patients presented with nipple changes, while 4/18 had a palpable area of concern. Histopathological analysis demonstrated Paget’s disease of the nipple in 8/18, invasive carcinoma in 9/18 out of which two represented a recurrence of breast malignancy. Cutaneous squamous cell carcinoma was diagnosed in 1/18.

Conclusion
Clinical core and cutaneous punch biopsies remain a valuable tool in the diagnosis of breast cancer particularly in the management of clinically suspicious radiographically occult malignancies.
Prevalence of depression and anxiety among general population in Pakistan during COVID-19 lockdown: An online-survey
Authors: Ullah Irfan , Ali Sajjad , Ashraf Farzana , Hakim Yasir , Ali Iftikhar , Ullah Arslan Rahat , Chattu Vijay Kumar , Pakpour Amir H. 
Published: February 2022

AbstractThe present study's aim is to find the prevalence of two of the common indicators of mental health - depression and anxiety – and any correlation with socio-demographic indicators in the Pakistani population during the lockdown from 5 May to 25 July 2020. A cross-sectional survey was conducted using an online questionnaire sent to volunteer participants. A total of 1047 participants over 18 were recruited through convenience sampling. The survey targeted depression and anxiety levels, which were measured using a 14 item self-reporting Hospital Anxiety and Depression Scale (HADS). Out of the total sample population (N=354), 39.9% suffered from depression and 57.7% from anxiety. Binary logistical regressions indicated significant predictive associations of gender (OR=1.410), education (OR=9.311), residence (OR=0.370), household income (OR=0.579), previous psychiatric problems (OR=1.671), and previous psychiatric medication (OR=2.641). These were the key factors e associated with a significant increase in depression. Increases in anxiety levels were significantly linked to gender (OR=2.427), residence (OR=0.619), previous psychiatric problems (OR=1.166), and previous psychiatric medication (OR=7.330). These results suggest depression and anxiety were prevalent among the Pakistani population during the lockdown. Along with other measures to contain the spread of COVID-19, citizens' mental health needs the Pakistani government's urgent attention as well as that of mental health experts. Further large-scale, such as healthcare practitioners, should be undertaken to identify other mental health indicators that need to be monitored.
Focused Bedside Ultrasound Training Program for Surgical Residents in the Intensive Care Unit of Tertiary hospital
Authors: Im Kyoung Moo , Kim Eun Young 
Published: February 2022

AbstractBedside ultrasound has become one of the most important noninvasive and readily available diagnostic tools for critically ill patients. However, the current ultrasound training program for surgical residents is not standardized and is mostly unavailable to all surgical residents equally. Herein, we evaluated the effectiveness of the new training program in bedside ultrasound for surgical residents. Postgraduate residents (years 1 to 4) from the department of general surgery in a tertiary hospital attended the newly designed, 8-week ultrasound training course at the surgical intensive care unit. Didactic and experimental lectures about basic ultrasound physics and machine usage were delivered, followed by daily hands-on training to actual patients. Each participant documented their ultrasound findings and completed a self-assessment survey of ultrasound skills using the Likert scale. A total of 44 residents were enrolled, and only 36.4% of them were previously exposed to bedside ultrasound experience. Following the completion of the training course, the proficiency levels and the objective structured assessment of ultrasound skill scores showed significant improvement in every element (P < 0.001). The mean differences in pre- and post-course scores between post-graduate years and post hoc analysis revealed that the post-graduate year 2 group showed a higher improvement in most elements. Whether or not residents had previous experience with ultrasound, the significant improvement was seen in post-course scores. The knowledge and confidence of surgical residents in bedside ultrasound could be improved after our short training curriculum. Such education should be encouraged for all surgical residents to enhance their competency in performing bedside ultrasounds and use in managing critically ill patients.
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Authors: Chadaga Krishnaraj , Chakraborty Chinmay , Prabhu Srikanth , Umakanth Shashikiran , Bhat Vivekananda , Sampathila Niranjana 
Published: February 2022

AbstractCoronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of acute respiratory syndrome that has had a significant influence on both economy and health infrastructure worldwide. This novel virus is diagnosed utilising a conventional method known as the RT-PCR (Reverse Transcription Polymerase Chain Reaction) test. This approach, however, produces a lot of false-negative and erroneous outcomes. According to recent studies, COVID-19 can also be diagnosed using X-rays, CT scans, blood tests and cough sounds. In this article, we use blood tests and machine learning to predict the diagnosis of this deadly virus. We also present an extensive review of various existing machine-learning applications that diagnose COVID-19 from clinical and laboratory markers. Four different classifiers along with a technique called Synthetic Minority Oversampling Technique (SMOTE) were used for classification. Shapley Additive Explanations (SHAP) method was utilized to calculate the gravity of each feature and it was found that eosinophils, monocytes, leukocytes and platelets were the most critical blood parameters that distinguished COVID-19 infection for our dataset. These classifiers can be utilized in conjunction with RT-PCR tests to improve sensitivity and in emergency situations such as a pandemic outbreak that might happen due to new strains of the virus. The positive results indicate the prospective use of an automated framework that could help clinicians and medical personnel diagnose and screen patients.
Graphical abstract
Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity
Authors: Herliansyah Riki , King Ruth , King Stuart 
Published: February 2022

AbstractCapture–recapture studies are common for collecting data on wildlife populations. Populations in such studies are often subject to different forms of heterogeneity that may influence their associated demographic rates. We focus on the most challenging of these relating to individual heterogeneity. We consider (i) continuous time-varying individual covariates and (ii) individual random effects. In general, the associated likelihood is not available in closed form but only expressible as an analytically intractable integral. The integration is specified over (i) the unknown individual covariate values (if an individual is not observed, its associated covariate value is also unknown) and (ii) the unobserved random effect terms. Previous approaches to dealing with these issues include numerical integration and Bayesian data augmentation techniques. However, as the number of individuals observed and/or capture occasions increases, these methods can become computationally expensive. We propose a new and efficient approach that approximates the analytically intractable integral in the likelihood via a Laplace approximation. We find that for the situations considered, the Laplace approximation performs as well as, or better, than alternative approaches, yet is substantially more efficient.Supplementary materials accompanying this paper appear on-line
Pathogens attributed to central-line–associated bloodstream infections in US acute-care hospitals during the first year of the coronavirus disease 2019 (COVID-19) pandemic
Authors: Weiner-Lastinger Lindsey M. , Haass Kathryn , Gross Cindy , Leaptrot Denise , Wong Emily , Wu Hsiu , Dudeck Margaret A. 
Published: February 2022

AbstractTo assess potential changes in the pathogens attributed to central-line–associated bloodstream infections between 2019 and 2020, hospital data from the National Healthcare Safety Network were analyzed. Compared to 2019, increases in the proportions of pathogens identified as Enterococcus faecalis and coagulase-negative staphylococci were observed during 2020.
Serum ferritin levels are associated with frequent consumption of iron- and ascorbate-rich foods among women of childbearing age in Nandi County, Kenya
Authors: Nyakundi Patrick Nyamemba , Kiio Juliana , Munyaka Ann Wambui 
Published: February 2022

AbstractInformation on consumption patterns of iron- and ascorbate-rich foods and their influence on iron status among women of childbearing age (WCA) is scarce in Kenya despite iron deficiency being rampant. The present study investigated consumption patterns of iron- and ascorbate-rich foods on iron status among WCA in Kapsabet Ward, Kenya. The study adopted a cross-sectional analytical design. A sample of 160 respondents was systematically selected proportionately in the eight villages. Consumption patterns of iron- and ascorbate-rich foods were assessed using a modified 7-d Food Frequency Questionnaire. Venous blood (2 ml) was drawn from participants. Serum ferritin and C-reactive proteins were measured by enzyme immunoassay. Consumption patterns of iron- and ascorbate-rich foods were analysed using descriptive statistics. Multivariable regression was conducted to investigate the association between iron- and ascorbate-rich foods consumption and iron status. Confounding variables such as consumption of foods high phytate levels, milk and milk products, recent major blood losses and parasitic infections were controlled for during analysis. The prevalence of iron deficiency among the WCA was 45⋅0 %. Iron-rich foods were rarely (<2 times/week) consumed by the respondents with the majority reporting infrequent consumption: meat (61⋅3 %), sardines (61⋅9 %), oranges (54⋅4 %) and fortified breakfast cereals (94⋅4 %), except for kale and beans. Iron- (iron-fortified porridge, meat, sardines, beans, amaranth and spider plants) and ascorbate- (oranges and mangoes) rich foods positively predicted (AOR = 4⋅851,P= 0⋅021) the normal iron status of WCA. WCA should consume above 2 intakes per week of each iron- and ascorbate-rich food for better iron status outcomes.
ON REPUNIT CULLEN NUMBERS
Authors: ALAHMADI ADEL , LUCA FLORIAN 
Published: February 2022

AbstractWe prove that if$s\ge 2$is a fixed integer, then the equation$ns^n+1=(b^m-1)/(b-1)$has only finitely many positive integer solutions$(n,b,m)$with$b\ge 2$and$m\ge 3$. When$s=2$, it has no solution.
Unravelling causes of poor crop response to applied N and P fertilizers on African soils
Authors: Sileshi Gudeta W. , Kihara Job , Tamene Lulseged , Vanlauwe Bernard , Phiri Elijah , Jama Bashir 
Published: February 2022

Summary
A number of studies across sub-Saharan Africa have recently reported poor crop responses and low agronomic use efficiencies of applied nitrogen (AEN), phosphorus (AEP) and potassium (AEK). However, the conditions under which non-responsiveness occurs, its underlying causes and its probability of occurrence on different soil types are not well understood. Using data from 542 sites and 14 soil types in 23 African countries, we provide novel insights into the linkage between lack of response to applied N, P and K, the mineralogy of soils and their resilience to erosion. We estimated mean responses as well as the probabilities (ϕ) of no response in terms of response ratio (RR), yield gain (YG) and agronomic efficiency. Here we defined ‘no response’ as zero agronomic response to fertilizer inputs in a given site and year indexed by either RR ≤ 1, AEN ≤ 0, AEP ≤ 0 or AEK ≤ 0. The highest risks of no response were recorded on the iron-rich Plinthosols (ϕ = 0.26) followed by the aluminium-rich Alisols (ϕ = 0.16) and the erosion-prone Lixisols (ϕ = 0.16) and Leptosols (ϕ = 0.13). In terms of yield gains, the highest risk of low response (i.e., YG ≤ 0.5) was recorded on Alisols (ϕ = 0.47) and the lowest on Fluvisols (ϕ = 0.05). Cambisols, Fluvisols, Luvisols and Nitisols were deemed highly responsive to NPK fertilizer. The risks of no response were significantly higher on soils derived from siliceous than mafic parent materials, soil types with low resilience to erosion, soils with low-activity clays and high P fixation capacity. It is concluded that maize grain yields can exceed 3 t ha-1 with high probability (ϕ > 0.80) on Andosols, Nitisols and Vertisols, but with very low probability (ϕ < 0.30) on Alisols and Arenosols. It is also concluded that across soil types and agroecological zones, the risk of no response is up to two times more on farmers’ fields than on research stations. Here, we discuss the implications of these finding for the design and location of future agronomic trials. We also provide insights to guide the targeting of fertilizer subsidies where nutrients can be more efficiently used.
Field evaluation of a new third generation push-pull technology for control of striga weed, stemborers, and fall armyworm in western Kenya
Authors: Cheruiyot Duncan , Chidawanyika Frank , Midega Charles A. O. , Pittchar Jimmy O. , Pickett John A. , Khan Zeyaur R. 
Published: February 2022

SummaryProduction of cereal crops in sub-Saharan Africa is threatened by parasitic striga weeds and attack by stemborers and the invasive fall armyworm (FAW), compounded by increasing hot and dry conditions. A climate-smart push-pull technology (PPT) significantly reduces effects of these biotic challenges. To improve further resilience of the system to climate change, more adapted and suitable companion plants were identified and integrated in a new version of PPT, termed ‘third generation PPT’. Our study evaluates field performance and farmer opinions of this new version in comparison with the earlier version, climate-smart PPT, and farmers’ own practices of growing maize in controlling stemborers, FAW, and striga weeds. Trials were conducted across five locations in western Kenya for two cropping seasons in the year 2019 following a one-farm one-replicate completely randomized design. We assessed infestation on striga, stemborers, and FAW, and yield performance of the three cropping systems. We also sought the opinions of the hosting farmers through semi-structured questionnaires that were administered through individual interviews. Both PPT plots recorded significantly (P < 0.05) lower striga count, FAW, and stemborer damage, and higher grain yield than in plots that followed farmers’ own practices. There was no statistically significant difference between the two PPT plots except for stemborer damage for which the third generation PPT recorded higher damage than the climate-smart PPT. However, farmers preferred the third generation PPT for important traits possessed by its companion plants which their counterparts in climate-smart PPT are deficient. The cultivar Xaraes was rated as ‘very good’ for resistance to spider mites, biomass yield, and drought tolerance while Desmodium incanum was rated ‘very good’ for seed production and drought tolerance. The third generation PPT is based on companion crops that are more resilient to hot and dry conditions which are increasing rapidly in prevalence with climate change. This version therefore presents a better option to upscale the technology and meet different needs of farmers especially in arid and semi-arid conditions.
The long-term effect of over-supplementation on recovered populations: why restraint is a virtue
Authors: Adamski Paweł , Ćmiel Adam M. 
Published: February 2022

AbstractWe present a long-term analysis of the results of the Apollo butterflyParnassius apollorecovery project in the Pieniny National Park, southern Poland, using a classical population ecology model. Six possible theoretical models of changes in population abundance were constructed and their predictions compared with current data. Models that did not take into account supplementation with captive-reared individuals provided the best fit to the population growth pattern during recovery. This was probably because of the introduction of captive-reared specimens to sites while habitat reconstruction was taking place. In addition, we provide data supporting the hypothesis that a significant reduction in the habitat's carrying capacity occurred during the restoration project, probably as a result of the population being over-supplemented with captive-reared individuals. Our analysis shows that for a recovery project to be successful, captive breeding and habitat restoration should be properly coordinated.
A randomized controlled trial of supervised remotely-delivered attention bias modification for posttraumatic stress disorder
Authors: Alon Yaron , Azriel Omer , Pine Daniel S. , Bar-Haim Yair 
Published: February 2022

AbstractBackgroundMany individuals with posttraumatic stress disorder (PTSD) have limited access to first-line treatments, warranting the development of remotely-delivered treatments. Attention bias modification (ABM), targeting perturbed threat-related attentional patterns, shows promise when delivered in-person. However, previous studies found ABM to be ineffective when delivered remotely. Randomized clinical trials usually applied two variations of ABM: ABM away from threat or attention control training (ACT) balancing attention between threat-related and neutral stimuli. We tested remotely-delivered ACT/ABM with tighter supervision and video-based interactions that resemble in-clinic protocols. We expected to replicate the results of in-clinic trials, in which ACT outperformed ABM for PTSD.MethodsIn this double-blinded, parallel-group randomized controlled trial, 60 patients diagnosed with PTSD were randomized (ABM n = 30; ACT n = 30). Patients performed eight bi-weekly remotely-delivered supervised ABM/ACT sessions. Symptoms were assessed pre- and post-treatment with Clinician-Administered PTSD Scale 5 (CAPS-5) severity score and PTSD diagnosis as the primary outcomes. Current depressive episode, current anxiety-related comorbidity, and time elapsed since the trauma were examined as potential moderators of treatment outcome.ResultsSignificant decrease in CAPS-5 severity scores and PTSD diagnosis was observed following both ACT and ABM with no between-group difference. Patients without depression or whose trauma occurred more recently had greater symptom reduction in the ACT than the ABM group.ConclusionsContrary to our expectation, symptoms decreased similarly following ACT and ABM. Moderator analyses suggest advantage for ACT in non-depressed patients and patients whose trauma occurred more recently. Further refinements in remotely-delivered ABM/ACT may be needed.
EXPLORING AN ELICITED IMITATION TASK AS A MEASURE OF HERITAGE LANGUAGE PROFICIENCY
Authors: Solon Megan , Park Hae In , Dehghan-Chaleshtori Marzieh , Carver Carly , Long Avizia Y. 
Published: February 2022

AbstractThis study examines a 30-item Spanish elicited imitation task (EIT) as a measure of global language proficiency for heritage language (HL) learners of Spanish. Results from Rasch modeling suggest that, while EIT scores demonstrated excellent reliability, the ability of much of the HL sample far exceeded the difficulty of the items. Differential item functioning analysis revealed that several items functioned differently for the present study’s HL sample than for the second language learners from a prior study. Additionally, although EIT scores were strongly correlated with another proficiency measure for the present HL sample (e.g., the Diploma de español como lengua extranjera or DELE), common-person equating suggested that the EIT and the DELE may measure different latent variables. Overall, the results provide evidence of the EIT’s utility as a proficiency assessment tool for research on HL learners, however, with limitations and the need for additional analyses discussed.