bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mississippi Boiling: Boil Water Alerts and their Impact on the Unexcused Absence Rate in Public Schools in Jackson, Mississippi
Authors: Kim Myungjin , Devito Roberta , Durate Fabio , Tieskens Koen , Luna Marcos , Miranda Arianna , Mazzarello Martina , Otts Stepanie , Etzel Clark , Burks Shaunessey , Crossley Kayla , Lee Nina , Walker Erica 
Published: September 2022

Abstract
The water crisis in Jackson, Mississippi, has recently made national and international headlines as a major environmental catastrophe, impacting the public health and well-being of its residents. Environmental justice concerns have focused primarily on race and class as 83% of Jackson’s residents are Black and 25% of all residents live in poverty. Lost in the conversation are the public health implications for Jackson’s most vulnerable–its children, who make up 25% of the population. Currently, the only mechanism by which residents understand the water quality issues in real-time are boil water alerts that are issued when the city determines that water is unsafe to drink. Using data on boil water alerts (BWA) collected from the City of Jackson’s Water/Sewer Business Administration Office; school attendance data from Jackson’s Public School District, and data from the American Community Survey, we add an important layer to the current conversation by analyzing how boil water alerts disrupt student learning. In 2020 alone Jackson issued 454 BWA. We show that each time a BWA is issued, unexcused absence rates statistically significantly increase by 1% - 10%. These impacts were most pronounced in elementary and high schools with the majority (> 92%) non-white student body. In two specific cases, we show statistically significant decreases in unexcused absences in schools where 100% of the student body receive free and reduced lunches.
Growth and Survival of Finfish Fed on Natural and Formulated Feeds---A meta-analysis
Authors: Liu Xiaodong , Shi Yonghai , Wang Hanxin 
Published: September 2022

Abstract
This meta-analysis was conducted as an effort to reply to the questions ‘did formulated feed perform as well as natural feed in terms of growth and survival of finfish which had weaned on it? And what accounted for the contradictory research findings on this issue?’ 42 articles were included from which data on final weight, FCR, HSI and survival rate were extracted. High heterogeneity was detected among assays of final weight, FCR as well as HSI, and thus, subgroup analysis and meta regression under random effect model were used to analyze the effect sizes; for survival rate, the heterogeneity was neglectable (I2 = 0.00), so the overall effect size estimate was accepted directly after adjustment by trim-and-fill method as non-neglectable publication bias was indicated. Leave-one-out analysis was conducted to test the impact of individual studies on the combined effect sizes. Results showed that fish fed on formulated feed had significantly lower final weight and significantly higher FCR than those fed on natural feed, while they survived as well as the counterparts. Although the combined effect size of HSI had no significant different from 0, liver alteration was detected in many species and further research are needed. Species of the subjects and their trophic levels, feeding ration, protein content of natural feed and the experiment duration partially accounted for the contradictions among the individual studies. In addition, the relatively poor performance of formulated feed was not due to protein or lipid deficiency; further studies are needed to explain the gap and then fill it.
Tandem CD19/CD22 CAR-T cells conquer high-risk cytogenetics and acquire complete remission in r/r B-ALL patients
Authors: Cui Wei , Zhang Xin-Yue , Dai Hai-Ping , Yin Jia , Li Zheng , Cui Qing-Ya , Kang Li-Qing , Yu Lei , Wu De-Pei , Tang Xiao-Wen 
Published: September 2022

Abstract
Background
CD19 chimeric antigen receptor T cells (CAR-T cells) have demonstrated impressive response rates in relapse and refractory B acute lymphoblastic leukemia (r/r B-ALL). However, a high rate of patients suffered a CD19-negative (CD19−) relapse, and confers dismal outcomes. Dual targets approaches are proved to optimize the response rate and prevent antigen negative relapse. While for r/r B-ALL patients, whether it would show better outcome than CD19 CAR-T, is still not clear.
Methods
We conducted an open label, single center clinical trial at the First Affiliated Hospital of Soochow University to investigate the efficacy and safety of tandem CD19/CD22 dual targets CAR-T cells for r/r B-ALL.
Results
A total of 47 r/r B-ALL patients with high-risk cytogenetics, such as TP53 alteration, Philadelphia Chromosome positive (Ph+) ALL with T315I mutation and Ph-like ALL, received CD19/CD22 CAR-T therapy from 2017 October to 2021 June. Severe cytokine release syndrome occurred in 8 of 47 patients (17.02%). The immune effector cell-associated neurotoxicity syndrome (ICANS) and macrophage release syndrome (MAS) were rare observed. Hematologic complete remission (CR) was observed in 47/47 (100%) and 40/47 (85.1%) patients achieved minimal residual disease negative (MRD-) CR. At a median follow up of 24.83 months (range, 2.57 to 50.67), overall survival was 93.56% (95% CI, 81.36–97.8%) at 6 months, 80.51% (95% CI, 65.88–89.35%) at 1 year. Twelve patients relapsed post CAR-T infusion and only 2 of 12 had CD19- recurrence. The leukemia free survival (LFS) rate and cumulative incidence of relapse at 1 year was 74.47% (95% CI, 59.44–84.61%) and 19.66% (95% CI, 4.36–42.68%), respectively. High-risk cytogenetics did not affect the long long-term survival. The multivariable Cox regression analyses showed that better long-term LFS was associated with MRD-CR status post CAR-T, as well as bridging hematopoietic stem cell transplantation (HSCT).
Conclusions
Tandem CD19/CD22 CAR-T cells are safety and effective for patients with high-risk cytogenetics. Allo-HSCT can provide long-term durable disease control in these patients.
Trial Registration:
ClinicalTrials.gov identifier: NCT 03614858
Implications of 5G Network on IoT-based Healthcare Systems Using Deep Learning: A Comprehensive Review
Authors: Kumar N. K.Senthil , Kumar V. Dhilip , Kavitha M. , Alenezi Fayadh , Polat Kemal , Alhudhaif Adi , Nour Majid 
Published: September 2022

Abstract
A global patient-oriented approach quickly replaces the traditionally specialized healthcare model in smart health care. Several technological breakthroughs have facilitated this tremendous transition in healthcare. Presently, innovative healthcare programs use 4G communication protocols in the field. Intelligent connected healthcare systems must incorporate these methods and technologies to thrive. As the healthcare sector expands, different applications are anticipated to generate large quantities of information in different configurations and quantities. Due to end-to-end interruption, frequency, congestion, and other characteristics of these vast and varied data streams, they require specific supervision. Future health care applications will need to be very flexible and responsive within a sensitive time frame, which presents a challenge for today's communication systems. Deep learning models might be interpreted in this context as among the principal resources available to supervise data and generate conclusions. The 5G and DL approach convergence are promising because these methods can obtain pertinent features from unstructured data. Consequently, the distinct communication requirements of electronic health records in the Internet of Things are primarily addressed via the development and creation of 5G networks. IoT network connectivity approaches to address issues with interoperability, energy consumption, device complexity, and reliability while accommodating many devices. This paper contributes to an analysis of IoT-based 5G facilitated intelligent healthcare solutions and services. By organizing and evaluating existing literature, the paper provides a paradigm for efficient health care in 5G. Most of the necessary conditions are outlined for effectively implementing intelligent healthcare systems in specific 5G circumstances. Finally, the number of unresolved problems and research impasses in 5G healthcare monitoring in IoT solutions are discussed.
Analysis of infiltrating immune cells and identification of related biomarkers in patients with refractory asthma
Authors: Lin Shuang 
Published: September 2022

Abstract
Background
Patients with refractory asthma (RA) have an enhanced risk of asthma-related symptoms, mortality, and exacerbations.RA is related to innate immune deficiency. Thus, the aim of this study was to identify immune-related diagnostic genes involved in RA.
Methods
The limma R package was used to identify differentially expressed genes (DEGs) between RA and healthy control groups of induced sputum samples. The ClusterProfiler R package was used to carry out Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of the DEGs. Single-sample gene set enrichment analysis (ssGSEA), was used to calculate the relative infiltration of 28 immune cell types. Weighted gene co-expression network analysis (WGCNA) was used to identify the modules that were correlated with the differentially infiltrated immune cells. Protein–protein interaction (PPI) network analysis was used to identify the hub genes of the network, and diagnostic genes were identified from among these hub genes by creating a diagnostic logistic regression model.The miRNA–diagnostic gene and transcription factor (TF)–diagnostic gene networks were constructed to explain the regulatory mechanisms of the diagnostic genes in RA.
Results
1844 DEGs (452 up-regulated and 1392 down-regulated) were identified between the RA and control groups. ssGSEA revealed that 17 immune cell types were significantly different between the RA and control samples. WGCNA identified two modules that were correlated with the differentially infiltrated immune cells. Next, 386 genes were identified as DEIRGs. Thereafter, the top 10 hub genes (CS, ATP5L, NDUFA4, ATP5B, COX5B, NDUFAB1, ATP5G1, NDUFA9, PARK7, and RPL8) in the PPI network, based on degree value, were identified. Next, we constructed a logistic regression model to accurately distinguish the RA and control groups; P < 0.05 for three of the genes (CS, ATP5L, and NDUFA4), which might be useful as RA diagnostic genes. Finally, the regulatory mechanisms of the diagnostic genes were explored based on the miRNA–diagnostic gene and TF–diagnostic gene networks.
Conclusion
The study identified CS, ATP5L, and NDUFA4 as RA diagnostic genes. These genes may serve as therapeutic targets for RA patients.
Coagulation and oxidation strategies for landfill leachate wastewater
Authors: Banchon Carlos , Cañas Roger , Baldeón Hugo , Córdova Alexandra 
Published: September 2022

Abstract
Leachate, a wastewater produced when rainwater percolates through landfill materials, is a global concern for environmental contamination. The goal of the current research was to treat young landfill leachate using aerobic-anaerobic, coagulation-flocculation, and advanced oxidation technologies considering the significance of the pollution caused by landfill wastewater on a global scale. High turbidity, a dark brown colour, and dissolved organic compounds were removed from a leachate that was collected in Chimbo, Ecuador. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) were both lowered by anaerobic biodegradation by 60% and 67%, respectively, after 42 days. Without adjusting the pH, coagulation with polyaluminium chloride and ferric chloride effectively removed suspended particles. By using 4 g/L of activated carbon and 4000 ppm of H2O2 , the advanced oxidation process (AOP) reduced COD by 95%, BOD by 96%, and dark brown colour by 89%. Activated carbon as catalyst and H2O2 as oxidant is a potential approach for high colour removal at a moderate cost.
Comparing the accuracy of different intraocular lens power calculation formulas using IOL-Master 700
Authors: Vargor Asli , Abduraman Suher , Celebi Ali Riza Cenk 
Published: September 2022

Abstract
Purpose: The aim of this study was to compare the accuracy of different IOL power calculation formulae in the IOL-Master 700 and to establish the impact of ACD on different IOL power calculation formulae in intermediate eyes.
Methods: A total of 80 patients who underwent uncomplicated phacoemulsification surgery between July 2020 and June 2022 were analyzed retrospectively. Eight formulae (SRK/T, Hoffer Q, Haigis, Holladay 2, Kane, Barrett Universal II, T2, and the Ladas Super Formula) were compared.
Results: This study included 113 eyes. SRK/T achieved the lowest MAE (0.30D), MedAE (0.25D), SD of prediction error (0.33), and the greatest percentage of eyes within ±0.25D (50.4%), ±0.50D (83.2%), and ±1.00D (100%). According to the percentage of eyes within ±0.50D, Kane showed better results than Barret Universal II (82.3% vs 79.6%) while traditional formulae (Holladay 2, Hoffer Q, and Haigis) had poor refractive outcomes in comparison to the new generation formulae. For the shallow ACD group, the lowest MAE and MedAE were noted in the Barrett Universal II formula (MAE= 0.26D, MedAE= 0.20D) while the highest percentage of eyes within ±0.50D was observed in the Ladas Super Formula (87.1%). There were no statistically significant differences between the formulas in normal and deep ACD groups.
Conclusion: SRK/T was the most accurate formula for the overall study, followed by new-generation formulae. For normal and deep ACD groups all eight formulae had similar results while for the shallow ACD group Barrett Universal II and the Ladas Super Formula performed better.
WITHDRAWN: The Broadband Transmission Spectrum of WASP-39b from JWST NIRSpec PRISM Observations
Authors: Rustamkulov Zafar , Sing David , Line Michael , May E. , Schlawin Everett , Stevenson Kevin , Goyal Jayesh , Mukherjee Sagnick , Moran Sarah , Wakeford Hannah , Lothringer Joshua , Carter Aarynn , MacDonald Ryan , Espinoza Nestor , López-Morales Mercedes , Bean Jacob , Piaulet Caroline , Changeat Quentin , Batalha Natalie , Kreidberg L. , Roy Pierre-Alexis , Nikolov Nikolay , Batalha Natasha , Wheatley Peter , Molaverdikhani Karan , Parmentier Viven , Benneke Björn , Leconte Jeremy , Taylor Jake , Gibson Neale , Waalkes William , Miguel Yamila , Désert Jean-Michel , Cubillos Patricio , Iro Nicolas , Daylan Tansu , Ahrer Eva-Maria , Louca Amy , Lustig-Yaeger Jacob , HU RENYU , Welbanks Luis , Blecic Jasmina , Rackham Benjamin , Radica Michael , Gao Peter , Morello Giuseppe , Palle Enric , Venot Olivia , Zhang Xi , Allen Natalie , Kempton Eliza , Chubb Katy , Fortney Jonathan , Tremblin Pascal , Bell Taylor , Mikal-Evans Thomas , Mansfield Megan , Crossfield Ian , Aggarwal Keshav , Harrington Joseph , Casewell Sarah , Lendl Monika , Banerjee Agnibha , Redfield Seth , Barstow Joanna , Feinstein Adina , Zieba Sebastian , Turner Jake , Heng Kevin , Alam Munazza , Alderson Lili , Shkolnik Evgenya , Powell Diana , Ramos-Rosado Lakeisha , Roche Dominique Petit dit de la , Southworth John , Barat Saugata , Mancini Luigi , Kataria Tiffany , Ohno Kazumasa , Mayne Nathan , Hong Yucian , Rogers Laura , Lillo-box Jorge , Teske Johanna , Barrado David , Tucker Gregory , Agol Eric 
Published: September 2022

Abstract
Transmission spectroscopy of exoplanets has revealed signatures of water vapor, aerosols, and alkali metals in a few dozen exoplanet atmospheres. However, these previous inferences with the Hubble and Spitzer Space Telescopes were hindered by the observations’ relatively narrow wavelength range and spectral resolving power, which precluded the unambiguous identification of other chemical species—in particular the primary carbon-bearing molecules. Here we report a broad-wavelength 0.5–5.5 μm atmospheric transmission spectrum of WASP-39 b, a 1200 K, roughly Saturn-mass, Jupiter-radius exoplanet, measured with JWST NIRSpec’s PRISM mode as part of the JWST Transiting Exoplanet Community Early Release Science Team program. We robustly detect multiple chemical species at high significance, including Na (19σ), H2O (33σ), CO2 (28σ), and CO (7σ). The non-detection of CH4, combined with a strong CO2 feature, favours atmospheric models with a super-Solar atmospheric metallicity. An unanticipated absorption feature at 4μm is best explained by SO2 (2.7σ), which could be a tracer of atmospheric photochemistry. These observations demonstrate JWST’s sensitivity to a rich diversity of exoplanet compositions and chemical processes.
The genesis of granite mass in the Volcanic Area of Litang, Chuanxi Province: Constraints from rock geochemistry and U-Pb zircon dating
Authors: 田 光昊 
Published: September 2022

Abstract
The granite complex in the Maohuo area of Litang County is located in the central and western parts of the Yidun-Shaluri island arc in the Sanjiang area,the intrusion is located in the sand slate of the Tumugou Formation in Daocheng District.In this paper, the petrographic analysis of the granodiorite porphyry and biotite monzogranite in the granite complex in the Volcano area is carried out,a systematic study of rock geochemical characteristics and chronology,elucidating the genetic connection between the two in the nature and tectonic background of the source region.Zircon LA-ICP-MS U-Pb dating shows,granodiorite porphyry,medium-coarse-grained biotite monzogranite,the ages of diorite inclusions in biotite monzonitic granites are 220.7 ± 1.3Ma、220.4 ± 1.6Ma、219.8 ± 1.4Ma,the three are roughly formed at the same time,it is a product of late Triassic magmatic activity.Rock geochemical features show that,Granodiorite porphyry in the granite complex,biotite monzonite granite,scintillation inclusions it has high total alkali, Rb content and relatively low Al2O3, Sr and other content,has a moderately negative europium anomaly,obvious loss of Ta, Nb, Ti and other high field strength elements,aluminum saturation index < 1.1 is characterized.Combined with geological data granodiorite porphyry,both biotite monzonitic granites are also I-type granites formed in a typical island arc environment.Combined with rock geochemical characteristics and U-Pb chronology research results,the three should be a set of rock assemblages formed by the evolution of a set of magma melting events.Among them, biotite monzogranite and granodiorite porphyry are the products of homologous magma crystallization and differentiation.The diorite enclaves in the biotite monzogranites are the result of their own evolution when the granitic magma undergoes fusion and immiscibility.
Altered innate immunity and monocyte functional impairment
characterize healthy preterm newborns
Authors: de Biasi Sara , Neroni Anita , Nasi Milena , Tartaro Domenico Lo , Borella Rebecca , Gibellini Lara , Lucaccioni Laura , Bertucci Emma , Lugli Licia , Miselli Francesca , Bedetti Luca , Neri Isabella , Ferrari Fabrizio , Facchinetti Fabio , Berardi Alberto , Cossarizza Andrea 
Published: September 2022

Abstract
Preterm birth (PT) is defined as birth before 37 completed weeks of gestation, and it is one of the most frequent pregnancy complications and infections. Understanding susceptibility to infectious disease in preterm infants by identifying alterations in innate immune profile could pave the way to novel clinical intervention. Neonatal immunity is a developing structure that evolves gradually. Monocytes are the key players after birth and may change susceptibility to additional infectious or inflammatory. One of the main functions of monocytes is to activate the inflammasomes, whose levels are high in preterm newborns. Here, by using high-dimensional flow cytometry, gene expression and quantification of plasma cytokine levels in a total of 68 term and preterm newborns, we report that preterm newborns show higher plasmatic concentration of alarmin S100A8, higher proportion of CD56+/−CD16+NK cells, higher proportion of immature monocytes and a lower proportion of classical monocytes and lower inflammasome activation after in vitro monocyte stimulation. Our findings suggest that altered innate immunity and monocyte functional impairment characterize healthy preterm newborns, which display different proportions of innate immune cells and diverse pro-inflammatory plasmatic profile.
Factors Influencing Early Hospital Arrival of Patients with Acute Ischemic Stroke, Cross Sectional Study in Mogadishu Somalia
Authors: Hasan Mohamed Sheikh , Yucel Yavuz 
Published: September 2022

Abstract
Background and Objective: Intravenous thrombolysis (IVT) is now considered the best a standard treatment for acute ischemic stroke in eligible patients who present within 4.5 h of symptom onset. The low rates of thrombolysis for ischemic stroke in our country and other developing countries have been attributed to delays in arrivals to the hospital. This study aims to investigate the factors that influence the early hospital arrival of patients with acute ischemic stroke to the hospital in Mogadishu, Somalia.
Methods: This is a cross-sectional study conducted in teaching hospital in Mogadishu, Somalia. Adult patients diagnosed with acute ischemic stroke admitted to the emergency department between June 2021 and May 2022 were included in the study. A questionnaire-based interview was administered to adult patients or patients’ relatives. Patients within the hospital while developing an ischemic stroke were excluded from the study. Patients' demographic characteristics, stroke risk factors, NIHSS Score, time to hospital arrival, factors influencing early hospital arrival including travel distance, ambulance availability, time of stroke onset, knowledge of stroke symptoms, and thrombolytic treatment were all assessed.
Results: of the 212 patients in the study, 113(53.3%) of the subjects were male, while 99(46.7%) were female. The mean age of the patients was 62±10. The majority of the patients (153 (72%) were above 60 years of age. Hypertension was the most common risk factor among patients 121(57%), followed by diabetes mellitus (65(31%)) and hyperlipidemia 73(34%). MCA infarct was the most common arterial territory of infarction 117(55%). 140(66%) of the patients lived in the city, while 72(34%) lived outside of the city. 85(40%) of the patients were brought to the ER by ambulance, and only 32(15%) reached the hospital in less than 4 hours. The thrombolytic treatment rate was 1.4% of the cases in this study. 121(57%) had no idea about stroke symptoms, and only 34(16%) of the patients/relatives knew about thrombolytic treatment for acute stroke.
In univariate and binary logistic regression analysis, delays in hospital arrivals were associated with travel distance of more than 10 km, transportation via non-ambulance means, living alone, lack of recognition of stroke symptoms, night time stroke onset, and lack of knowledge about thrombolytic treatment for acute stroke and non-hemiplegic presentation.
Conclusion: This study demonstrates factors delaying early hospital arrivals of patients with ischemic stroke. Improving the modifiable factors through public education will prevent delays in early hospital arrival of the stroke patients and will improve early thrombolytic intervention and over all outcome of these patients.