bluuebunny/crossref_metadata_2025_split huggingface dataset:
AN INVESTIGATION INTO THE OPINIONS HELD BY CONSUMERS IN CHENNAI REGARDING VARIOUS TYPES OF SEAFOOD
Authors: Nagajothi Dr. V. , Sarkar Dr. Soumyabrata , Iswarya K.S. , Srinidhi T. , Bevan J. Kendanic 
Published: September 2023

A research study undertaken to examine the consumer impression of seafood in Chennai, India. The objective of the study was to investigate the various elements that impact customer preferences, attitudes, and purchasing behaviors in relation to fish goods. Chennai, situated along the southern coastline of India, exhibits a significant cultural and economic association with seafood owing to its close proximity to the Bay of Bengal. The comprehension of customer views within this particular environment holds significant importance for the fish business, sustainability initiatives, and consumer well-being.
The research utilized a hybrid methodology, integrating both qualitative and quantitative research techniques. The collection of qualitative data involved conducting in-depth interviews and focus group discussions in order to gain a deeper understanding of the underlying attitudes, cultural influences, and beliefs that influence consumers' decision-making processes around seafood consumption. Structured surveys were employed to collect quantitative data from a varied sample of Chennai inhabitants, enabling the statistical analysis of preferences and consumption trends.
D-DI/PLT can be a prognostic indicator for sepsis
Authors: Zhao Xiaojun , Wu Xiuhua , Si Yi , Xie Jiangang , Wang Linxiao , Liu Shanshou , Duan Chujun , Wang Qianmei , Wu Dan , Wang Yifan , Chen Jijun , Yang Jing , Hu Shanbo , Yin Wen , Li Junjie 
Published: September 2023

Aims
To investigate the indicators affecting the early outcome of patients with sepsis and to explore its prognostic efficacy for sepsis.

Methods
We collected clinical data from 201 patients with sepsis admitted to the emergency department of Xijing Hospital between June 2019 and June 2022. The patients were categorized into groups (survival or fatality) based on their 28-day prognosis. The clinical characteristics, biochemical indexes, organ function-related indicators, and disease scores of the patients were analyzed for both groups. Risk factor analysis was conducted for the indicators with significant differences.

Results
Among the indicators with significant differences between the deceased and survival groups, D-dimer (D-DI), Sequential Organ Failure Assessment (SOFA) score, platelet (PLT), international normalized ratio (INR), and D-DI/PLT were identified as independent risk factors affecting the prognosis of sepsis patients. Receiver operating characteristic (ROC) curves showed that D-DI/PLT (area under the curve (AUC) = 93.9), D-DI (AUC = 89.6), PLT (AUC = 81.3), and SOFA (AUC = 78.4) had good judgment efficacy. Further, Kaplan Meier (K-M) survival analysis indicated that the 28-day survival rates of sepsis patients were significantly decreased when they had high levels of D-DI/PLT, D-DI, and SOFA as well as low PLTs. The hazard ratio (HR) of D-DI/PLT between the two groups was the largest (HR = 16.19).

Conclusions
D-DI/PLT may be an independent risk factor for poor prognosis in sepsis as well as a clinical predictor of patient prognosis.
Relationship between vertical facial morphology and dental arch measurements in class II malocclusion: a retrospective study
Authors: Ocak Irmak , Karsli Nurver , Altug Ayse Tuba , Aksu Muge 
Published: September 2023

BackgroundTo evaluate the relationship between dental arch measurements and the vertical facial pattern determined in skeletal Class II untreated patients.MethodsLateral cephalograms and plaster models were obtained from 124 untreated female adults (average age: 17.6 ± 3.8 years). Class I (CI), Class II Division 1 (CII/1) and Class II Division 2 (CII/2) malocclusions were divided into three subgroups according to their vertical morphology as hypodivergent, normodivergent and hyperdivergent. The multivariate variance analysis (MANOVA) method was used in the comparison of measurement values according to vertical and sagittal morphology. The relationship between both A point-Nasion-B point (ANB) and Frankfurt-mandibular plane (FMA) angles and dental arch measurements was examined by Pearson correlation analysis. The significance level was received asp< 0.05.ResultsWhile vertical morphology has a statistically significant effect on mandibular arch length, sagittal morphology affects maxillary arch depth. The parameters influenced by both morphologies are maxillary and mandibular arch length, as well as maxillary intermolar width. The mandibular arch length was significantly shorter in hyperdivergent-CII-2 malocclusion (50.5 ± 7.4 mm). Larger values were obtained in both mandibular arch length and maxillary arch depth measurements in CII-1 malocclusion compared to CII-2 malocclusion. The maxillary intermolar width was significantly shorter in hypodivergent-CII-1 malocclusion (46.8 ± 3.4 mm), while it was higher in hypodivergent-CI malocclusion (51.1 ± 3.4 mm). The maxillary arch length was the lowest in hyperdivergent-CI malocclusion (63.1 ± 13.3 mm) and the highest in hypodivergent-CI malocclusion (72.8 ± 7.6 mm). Additionally, a positive but weak correlation was found between ANB and FMA angles.ConclusionDental arch measurements have been found to be affected by both vertical facial morphology and skeletal sagittal relationship. A positive correlation was found between ANB and FMA angles.
Buys-Ballot Estimates for Overall Sample Variances and Their Statistical Properties: A Mixed Model Case
Authors: Dozie Kelechukwu C. N. 
Published: September 2023

This article proposes an estimation procedure of overall sample variances for the mixed model while comparing them with those of the additive and multiplicative models. The estimation procedure is based on the row, column and overall means and variances of time series data arranged in a Buys-Ballot table. The procedure assumes that (1) the underlying distribution of the variable, X i j , i = 1, 2, ..., m , j = 1, 2, ..., s , under study is normal. (2) the trending curve is either linear or quadratic and (3) the decomposition method is either multiplicative or mixed. Statistical properties of the overall sample variances of the Buys-Ballot table are also considered in this study. Result indicates that, under the stated assumptions, the expected value of the overall sample variances involve sum of square and cross-product of trend parameters and seasonal indices.
A Case Report on Congenital Nasal Pyriform Aperture Stenosis
Authors: Bahous E. , Ahmed S. Ait , Ayad A. , Saghir S. , Sellouti M. , Abilkassim R. , Agadr A. 
Published: September 2023

Introduction: Congenital nasal pyriform aperture stenosis is a rare cause of neonatal respiratory distress.
Observation: A female neonate was born by cesarean section at 39 SA for hydramnios, triple scarred uterus and macrosomia. He was macrosomic and had no facial dysmorphia, he presented at H1 of life with respiratory distress and noisy mouth breathing. He cyanosed with each feeding attempt. On facial CT, the choanae were patent with a median central incisor and piriformis orifice stenosis. Nasal breathing gradually normalized. The hospitalization lasted 8 days with a good evolution.
Discussion: Congenital piriformis stenosis is a rare cause of congenital nasal obstruction. The association with median incisor syndrome is not exceptional. Diagnosis must be made early for proper management. Cyanosis and false airway can be life threatening. Associated abnormalities should be investigated by CT and MRI. Treatment is variable and may be surgical if the stenosis is severe. The prognosis is good in the absence of severe malformations or associated mental retardation.
Conclusion: In case of neonatal respiratory distress, the Congenital pyriformis stenosis must be among the causes, a rapid diagnostic assessment and management are necessary.
Evaluation of Silage Quality of Forage Maize (Zea mays L.) and Sweet Sorghum (Sorghum bicolor L. Moench) Varieties at Different Phenophases
Authors: Sree E. Pooja , Naaiik R. V. T. Balazzii , Rekha K. Bhanu , Kumar T. Sukruth 
Published: September 2023

Aim: To evaluate the green fodder production potential of forage maize and sweet sorghum varieties at different phenophases.
Experiment Design: Factorial Randomized Block Design (FRBD).
Place and Duration of Study: AICRP on Forage Crops and Utilization, Agricultural Research Institute. Duration from July 2022 to Nov 2022.
Methodology: Field experiment was conducted at AICRP on Forage Crops and Utilization, Agricultural Research Institute (ARI), Rajendranagar, Hyderabad during kharif 2022. The treatments consisted of four maize varieties (African tall, J –1006, TSFM 15-5 and DHM-117) and two sweet sorghum varieties (CSH-22SS and CSV-49SS) and three harvest stages (S1: Milky stage, S2: Soft dough stage and S3: Dent stage) laid out in randomized block design with factorial concept with two factors. Factor (A) as six varieties and factor (B) as three harvest stages (phenophases) with three replications. Texture of the soil was sandy loam with the pH of 7.0, low in available nitrogen (199.3 kg ha-1), medium in available phosphorous (39.12 kg ha-1) and potassium (195.30 kg ha-1).
Results: Fodder maize variety African tall recorded significantly higher plant height (265.8 cm) at dent stage, leaf-stem ratio (0.36) at milky stage, green fodder yield (438 q ha-1) at soft dough stage and dry fodder yield (122.7 q ha-1) at dent stage of harvest. while J-1006 recorded significantly highest dry matter content (29.8%) at the dent stage of harvest. CSH 22SS recorded significantly higher crude protein content (10%) in the milky stage.
Conclusion: African tall variety has recorded significantly higher green fodder yield (438 q ha-1) at soft dough stage and dry fodder yield at the dent stage (122.7 q ha-1).
PENERAPAN PENDEKATAN BIOKLIMATIK DARI KENNETH YEANG TERHADAP ALTERNATIF DESAIN HOTEL DI KOTA BEKASI
Authors: Christianto Kevin , Damayanti Rully 
Published: September 2023

Pertumbuhan masyarakat yang meningkat tinggidapat terlihat dari perkembangan kota yang semakin berkembang. Dengan peningkatan penduduk yang tinggi dan lahan yang terbatas maka solusi yang terbaik untuk mengatasi kebutuhan bagi tempat tinggal adalah dengan cara membangun secara vertikal, termasuk fasilitas hotel. Artikel ini mengusulkan desain hotel dengan aplikasi konsep bioklimatik dari Kenneth Yeang. Metode yang digunakan dalam penelitian adalah simulasi yaitu menggunakan replikasi objek dan pengaturan dunia nyata. Efek pesatnya perkembangan bangunan di kota Bekasi mengakibatkan penghijauan semakin berkurang. Serta kurang memperhatikan faktor alam ke dalam bangunan terutama pada bangunan vertikal. Sehingga desain pada hotel ini sangat memperhatikan alam dengan memasukan alam kedalam desain bangunan. Serta hasil penelitian ini untuk mengingatkan kepada arsitek agar memperhatikan iklim sebagai respon bangunan vertikal terhadap lingkungan. Keywords: Hunian Vertikal, Hotel, Bioklimatik.
Eye-Tracking–Based Measurement of Social Visual Engagement Compared With Expert Clinical Diagnosis of Autism
Authors: Jones Warren , Klaiman Cheryl , Richardson Shana , Aoki Christa , Smith Christopher , Minjarez Mendy , Bernier Raphael , Pedapati Ernest , Bishop Somer , Ence Whitney , Wainer Allison , Moriuchi Jennifer , Tay Sew-Wah , Klin Ami 
Published: September 2023

ImportanceIn the US, children with signs of autism often experience more than 1 year of delay before diagnosis and often experience longer delays if they are from racially, ethnically, or economically disadvantaged backgrounds. Most diagnoses are also received without use of standardized diagnostic instruments. To aid in early autism diagnosis, eye-tracking measurement of social visual engagement has shown potential as a performance-based biomarker.ObjectiveTo evaluate the performance of eye-tracking measurement of social visual engagement (index test) relative to expert clinical diagnosis in young children referred to specialty autism clinics.Design, Setting, and ParticipantsIn this study of 16- to 30-month-old children enrolled at 6 US specialty centers from April 2018 through May 2019, staff blind to clinical diagnoses used automated devices to measure eye-tracking–based social visual engagement. Expert clinical diagnoses were made using best practice standardized protocols by specialists blind to index test results. This study was completed in a 1-day protocol for each participant.Main Outcomes and MeasuresPrimary outcome measures were test sensitivity and specificity relative to expert clinical diagnosis. Secondary outcome measures were test correlations with expert clinical assessments of social disability, verbal ability, and nonverbal cognitive ability.ResultsEye-tracking measurement of social visual engagement was successful in 475 (95.2%) of the 499 enrolled children (mean [SD] age, 24.1 [4.4] months; 38 [8.0%] were Asian; 37 [7.8%], Black; 352 [74.1%], White; 44 [9.3%], other; and 68 [14.3%], Hispanic). By expert clinical diagnosis, 221 children (46.5%) had autism and 254 (53.5%) did not. In all children, measurement of social visual engagement had sensitivity of 71.0% (95% CI, 64.7% to 76.6%) and specificity of 80.7% (95% CI, 75.4% to 85.1%). In the subgroup of 335 children whose autism diagnosis was certain, sensitivity was 78.0% (95% CI, 70.7% to 83.9%) and specificity was 85.4% (95% CI, 79.5% to 89.8%). Eye-tracking test results correlated with expert clinical assessments of individual levels of social disability (r = −0.75 [95% CI, −0.79 to −0.71]), verbal ability (r = 0.65 [95% CI, 0.59 to 0.70]), and nonverbal cognitive ability (r = 0.65 [95% CI, 0.59 to 0.70]).Conclusions and RelevanceIn 16- to 30-month-old children referred to specialty clinics, eye-tracking–based measurement of social visual engagement was predictive of autism diagnoses by clinical experts. Further evaluation of this test’s role in early diagnosis and assessment of autism in routine specialty clinic practice is warranted.Trial RegistrationClinicalTrials.gov Identifier: NCT03469986
Pharmacy e-Prescription Dispensing Before and After CancelRx Implementation
Authors: Pitts Samantha I. , Olson Sarah , Yanek Lisa R. , Wang Nae-Yuh , Woodroof Taylor , Chen Allen R. 
Published: September 2023

ImportanceAn estimated 1.5% to nearly 5% of medications are dispensed after discontinuation in the electronic health record (EHR), with 34% meeting criteria for high risk of potential harm.ObjectiveTo evaluate the association of the implementation of e-prescription cancellation messaging (CancelRx) with medication dispensing after discontinuation of e-prescriptions in the EHR.Design, Setting, and ParticipantsThis case series with interrupted time series analysis included patients who had at least 1 medication e-prescribed in ambulatory care to a health system pharmacy and discontinued in the 2-year study period from 1 year prior to approximately 1 year after CancelRx implementation (January 15, 2018, to December 7, 2019). Prior to CancelRx implementation, changes to e-prescribed medications within the EHR were not electronically communicated to health system pharmacies, which used separate pharmacy management software. Statistical analysis was performed from November 2020 to June 2023 (primary analysis from March 2021 to May 2022).ExposureImplementation of CancelRx.Main Outcomes and MeasuresThe primary outcome was the proportion of e-prescribed medications dispensed and sold to patients by pharmacies within 6 months after discontinuation in the EHR. A medication was defined as dispensed after discontinuation if the timestamp of dispensing was at least 1 minute and less than 6 months after the timestamp of discontinuation in the EHR. A secondary outcome was the proportion of discontinued medications that was reordered within 120 days.ResultsA total of 53 298 qualifying e-prescriptions that were discontinued were identified for 17 451 unique patients (mean [SD] age, 50.6 [18.2] years; 9332 women [53.5%]). After CancelRx implementation, 22 443 (85.9%) of the 26 127 discontinued e-prescriptions resulted in a CancelRx transaction. In interrupted time series analysis, the proportion of prescriptions dispensed after discontinuation decreased from a baseline of 8.0% (2162 of 27 171) to 1.4% (369 of 26 127; P &amp;lt; .001), without a significant week-to-week trend (β = 0.000158; P = .37).Conclusions and RelevanceIn this case series with interrupted time series analysis, findings suggest that CancelRx implementation was associated with an immediate and persistent reduction in the proportion of e-prescriptions sold after discontinuation in the EHR. Widespread implementation of CancelRx may significantly improve medication safety through the reduction of medication dispensing after discontinuation by prescribers.
Paying for Medical and Social Complexity in Massachusetts Medicaid
Authors: Alcusky Matthew J. , Mick Eric O. , Allison Jeroan J. , Kiefe Catarina I. , Sabatino Meagan J. , Eanet Frances E. , Ash Arlene S. 
Published: September 2023

ImportanceThe first MassHealth Social Determinants of Health payment model boosted payments for groups with unstable housing and those living in socioeconomically stressed neighborhoods. Improvements were designed to address previously mispriced subgroups and promote equitable payments to MassHealth accountable care organizations (ACOs).ObjectiveTo develop a model that ensures payments largely follow observed costs for members with complex health and/or social risks.Design, Setting, and ParticipantsThis cross sectional study used administrative data for members of the Massachusetts Medicaid program MassHealth in 2016 or 2017. Participants included members who were eligible for MassHealth’s managed care, aged 0 to 64 years, and enrolled for at least 183 days in 2017. A new total cost of care model was developed and its performance compared with 2 earlier models. All models were fit to 2017 data (most recent available) and validated on 2016 data. Analyses were begun in February 2019 and completed in January 2023.ExposuresModel 1 used age-sex categories, a diagnosis-based morbidity relative risk score (RRS), disability, serious mental illness, substance use disorder, housing problems, and neighborhood stress. Model 2 added an interaction for unstable housing with RRS. Model 3 added rurality and updated diagnosis-based RRS, medication-based RRS, and interactions between sociodemographic characteristics and morbidity.Main Outcome and MeasuresTotal 2017 annual cost was modeled and overall model performance (R2) and fair pricing of subgroups evaluated using observed-to-expected (O:E) ratios.ResultsAmong 1 323 424 members, mean (SD) age was 26.4 (17.9) years, 53.4% were female (46.6% male), and mean (SD) 2017 cost was $5862 ($15 417). The R2 for models 1, 2, and 3 was 52.1%, 51.5%, and 60.3%, respectively. Earlier models overestimated costs for members without behavioral health conditions (O:E ratios 0.94 and 0.93 for models 1 and 2, respectively) and underestimated costs for those with behavioral health conditions (O:E ratio &amp;gt;1.10); model 3 O:E ratios were near 1.00. Model 3 was better calibrated for members with housing problems, those with children, and those with high morbidity scores. It reduced underpayments to ACOs whose members had high medical and social complexity. Absolute and relative model performance were similar in 2016 data.Conclusions and RelevanceIn this cross-sectional study of data from Massachusetts Medicaid, careful modeling of social and medical risk improved model performance and mitigated underpayments to safety-net systems.
State Public Assistance Spending and Survival Among Adults With Cancer
Authors: Barnes Justin M. , Johnston Kenton J. , Johnson Kimberly J. , Chino Fumiko , Osazuwa-Peters Nosayaba 
Published: September 2023

ImportanceSocial determinants of health contribute to disparities in cancer outcomes. State public assistance spending, including Medicaid and cash assistance programs for socioeconomically disadvantaged individuals, may improve access to care; address barriers, such as food and housing insecurity; and lead to improved cancer outcomes for marginalized populations.ObjectiveTo determine whether state-level public assistance spending is associated with overall survival (OS) among individuals with cancer, overall and by race and ethnicity.Design, Setting, and ParticipantsThis cohort study included US adults aged at least 18 years with a new cancer diagnosis from 2007 to 2013, with follow-up through 2019. Data were obtained from the Surveillance, Epidemiology, and End Results program. Data were analyzed from November 18, 2021, to July 6, 2023.ExposureDifferential state-level public assistance spending.Main Outcome and MeasureThe main outcome was 6-year OS. Analyses were adjusted for age, race, ethnicity, sex, metropolitan residence, county-level income, state fixed effects, state-level percentages of residents living in poverty and aged 65 years or older, cancer type, and cancer stage.ResultsA total 2 035 977 individuals with cancer were identified and included in analysis, with 1 005 702 individuals (49.4%) aged 65 years or older and 1 026 309 (50.4%) male. By tertile of public assistance spending, 6-year OS was 55.9% for the lowest tertile, 55.9% for the middle tertile, and 56.6% for the highest tertile. In adjusted analyses, public assistance spending at the state-level was significantly associated with higher 6-year OS (0.09% [95% CI, 0.04%-0.13%] per $100 per capita; P &amp;lt; .001), particularly for non-Hispanic Black individuals (0.29% [95% CI, 0.07%-0.52%] per $100 per capita; P = .01) and non-Hispanic White individuals (0.12% [95% CI, 0.08%-0.16%] per $100 per capita; P &amp;lt; .001). In sensitivity analyses examining the roles of Medicaid spending and Medicaid expansion including additional years of data, non-Medicaid spending was associated with higher 3-year OS among non-Hispanic Black individuals (0.49% [95% CI, 0.26%-0.72%] per $100 per capita when accounting for Medicaid spending; 0.17% [95% CI, 0.02%-0.31%] per $100 per capita Medicaid expansion effects).Conclusions and RelevanceThis cohort study found that state public assistance expenditures, including cash assistance programs and Medicaid, were associated with improved survival for individuals with cancer. State investment in public assistance programs may represent an important avenue to improve cancer outcomes through addressing social determinants of health and should be a topic of further investigation.