bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Heat Exchangers, Compressor, and Steam Reutilization for Energy Efficiency Improvement in Thermal Systems of Dimethyl Ether (DME) Production
Authors: Wijaya Fikri , Putri Gisela Fortunata , Sukmajati Citra Puspita , Dewi Anggita Martha , Asyhari Widya Meilinda Nuri 
Published: January 2025

Dimethyl ether (DME) is widely recommended as an environmentally friendly aerosol and green refrigerant due to its low ozone depletion potential and lower global warming potential. Dimethyl ether is produced through the dehydration of methanol which has the potential to be an environmentally friendly alternative fuel. This research addresses the improvement of energy efficiency in dimethyl ether (DME) production through the modification of a heat transfer unit using Aspen HYSYS process simulation software. Dimethyl ether is an environmentally friendly chemical with low global warming potential, which is produced through methanol dehydration. This study focuses on the replacement of heaters and coolers. These modifications successfully improved energy efficiency by reducing net energy consumption from 4.867e+006 kJ/h to 3.268e+005 kJ/h. Despite the decrease in energy efficiency, the conversion rate remained the same at 99.7%. This research shows that modification of the heat transfer system can support more energy-efficient and sustainable DME production.
Optimizing Maleic Anhydride Production from Benzene's Cost by Preheating Inlet Air in Fired Heater and Modifying Distillation Column Operating Condition
Authors: Rongkang Cornellius Powellnandus , Putri Inayah S. , Kartawidjaja Jason H. , Lestari Putri Dwi A. 
Published: January 2025

The need for materials with superior properties from two different ingredients has recently attracted industries. Maleic anhydride or C4H2O3 is an intermediate product often used to mix materials with distinct characteristics. One way to produce maleic anhydride is by reacting benzene and air. Unfortunately, the production of maleic anhydride is classified as energy-consuming due to the plant equipment used such as fired heaters and distillation columns for the production. In this process modification, optimization is carried out on the fired heater by using the residual heat from combustion as an energy source for the preheating of incoming air. In addition, optimization was also carried out on the distillation column by changing the operating variables, especially the reflux ratio and column temperature. Simulations were carried out using Aspen HYSYS V11 and comparisons were made between the energy required and the profit obtained from the original process to the modified process. The simulation results showed a reduction in energy cost by 0.771% on the fired heater and an increase in profit by 47.47% on the distillation column. Therefore, this modification reduces the energy cost while maximizing the profit made from maleic anhydride production using benzene and air. Copyright © 2024 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Large‐scale sequencing studies expand the known genetic architecture of Alzheimer's disease
Authors: Xue Diane , Bush William S. , Renton Alan E. , Marcora Edoardo A. , Bis Joshua C. , Kunkle Brian W. ,   The Alzheimer's Disease Sequencing Project, Boerwinkle Eric , DeStefano Anita L. , Farrer Lindsay , Goate Alison , Mayeux Richard , Pericak‐Vance Margaret , Schellenberg Gerard , Seshadri Sudha , Wijsman Ellen , Haines Jonathan L. , Blue Elizabeth E. 
Published: January 2022

AbstractIntroductionGenes implicated by genome‐wide association studies and family‐based studies of Alzheimer's disease (AD) are largely discordant. We hypothesized that genes identified by sequencing studies like the Alzheimer's Disease Sequencing Project (ADSP) may bridge this gap and highlight shared biological mechanisms.MethodsWe performed structured literature review of genes prioritized by ADSP studies, genes underlying familial dementias, and genes nominated by genome‐wide association studies. Gene set enrichment analyses of each list identified enriched pathways.ResultsThe genes prioritized by the ADSP, familial dementia studies, and genome‐wide association studies minimally overlapped. Each gene set identified dozens of enriched pathways, several of which were shared (e.g., regulation of amyloid beta clearance).DiscussionAlternative study designs provide unique insights into AD genetics. Shared pathways enriched by different genes highlight their relevance to AD pathogenesis, while the patterns of pathway enrichment unique to each gene set provide additional targets for functional studies.
Separation and Detection of Tyrosine and Phenylalanine‐derived Oxidative Stress Biomarkers Using Microchip Electrophoresis with Electrochemical Detection
Authors: Weerasekara Dhanushka B. , Lunte Susan M. 
Published: January 2022

AbstractA method for the determination of selected aromatic amino acid biomarkers of oxidative stress using microchip electrophoresis with electrochemical detection is described. The separation of the major reaction products of phenylalanine and tyrosine with reactive nitrogen and oxygen species was accomplished using ligand exchange micellar electrokinetic chromatography with a PDMS/glass hybrid chip. Electrochemical detection was achieved using a pyrolyzed photoresist film working electrode. The system was evaluated for the analysis of the products of the Fenton reaction with tyrosine and phenylalanine, and the reaction of peroxynitrite with tyrosine.
Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics
Authors: Thome Janine , Steinbach Robert , Grosskreutz Julian , Durstewitz Daniel , Koppe Georgia 
Published: January 2022

AbstractEmerging studies corroborate the importance of neuroimaging biomarkers and machine learning to improve diagnostic classification of amyotrophic lateral sclerosis (ALS). While most studies focus on structural data, recent studies assessing functional connectivity between brain regions by linear methods highlight the role of brain function. These studies have yet to be combined with brain structure and nonlinear functional features. We investigate the role of linear and nonlinear functional brain features, and the benefit of combining brain structure and function for ALS classification. ALS patients (N = 97) and healthy controls (N = 59) underwent structural and functional resting state magnetic resonance imaging. Based on key hubs of resting state networks, we defined three feature sets comprising brain volume, resting state functional connectivity (rsFC), as well as (nonlinear) resting state dynamics assessed via recurrent neural networks. Unimodal and multimodal random forest classifiers were built to classify ALS. Out‐of‐sample prediction errors were assessed via five‐fold cross‐validation. Unimodal classifiers achieved a classification accuracy of 56.35–61.66%. Multimodal classifiers outperformed unimodal classifiers achieving accuracies of 62.85–66.82%. Evaluating the ranking of individual features' importance scores across all classifiers revealed that rsFC features were most dominant in classification. While univariate analyses revealed reduced rsFC in ALS patients, functional features more generally indicated deficits in information integration across resting state brain networks in ALS. The present work undermines that combining brain structure and function provides an additional benefit to diagnostic classification, as indicated by multimodal classifiers, while emphasizing the importance of capturing both linear and nonlinear functional brain properties to identify discriminative biomarkers of ALS.
Connecting during COVID: The application of teleservices in two integrated perinatal settings
Authors: Ehmer Amelia C. , Scott Stephen M. , Smith Hana , Ashby Bethany D. 
Published: January 2022

AbstractIntegrated perinatal behavioral healthcare provides opportunities to support women and their babies as part of their primary care medical home. The COVID‐19 pandemic required significant changes to be made to medical practices to enhance safety and reduce risk, particularly for vulnerable populations, including pregnant women. Previously established modes of mental health service delivery in the HEART program, an integrated behavioral health program embedded in a primary care clinic for adolescent mothers and their babies, and the PROMISE Clinic, an integrated obstetric behavioral health program that serves pregnant women, quickly pivoted to telehealth services because of the pandemic. HEART serves a racially and ethnically diverse patient population, with over 85% of patients publicly insured. The PROMISE Clinic serves a socioeconomically, racially, and ethnically diverse patient population. Behavioral health clinicians implemented a variety of technology‐based services including telephone interventions and support, virtual visits using iPads during medical visits, and video visits that patients accessed from their homes. In HEART, behavioral health visits continued at pre‐COVID rates during telehealth adaptations. In the PROMISE clinic, the number of perinatal women seen doubled, the total number of patient contacts tripled, and the missed appointment rate significantly decreased during COVID. In the PROMISE clinic, significantly more White and Hispanic perinatal women were seen during COVID and telehealth adaptations, while significantly fewer Black perinatal women were seen during this period. Further research is indicated to examine patient attitudes towards telehealth services, barriers to treatment for Black women, and outcome data.
Increased behavioral health needs and continued psychosocial stress among children with medical complexity and their families during the COVID‐19 pandemic
Authors: von Schulz Jonna , Serrano Verenea , Buchholz Melissa , Natvig Crystal , Talmi Ayelet 
Published: January 2022

AbstractObjectiveChildren with medical complexity (CMC) and their caregivers are at increased risk for multiple psychosocial stressors that can impact child and family well‐being and health outcomes. During the COVID‐19 pandemic, when access to supports diminished, psychosocial screening and integrated behavioral health (IBH) services in the primary care setting were crucial in identifying and addressing the unique needs of this populationMethodsUniversal screening to identify psychosocial needs was implemented in a primary care clinic for CMC that includes IBH services. Data on the prevalence of psychosocial screening and IBH services for young children and their caregivers before and during the COVID‐19 pandemic were evaluatedResultsPsychosocial screening levels remained stable during the pandemic. Psychosocial needs were identified for 36% of screeners prior to the COVID‐19 pandemic and 33% during the COVID‐19 pandemic. The need for IBH services increased during the COVID‐19 time period resulting in a significant increase in IBH servicesConclusionsFor CMC and their caregivers, psychosocial needs identified through psychosocial screening remained high during the pandemic, demonstrating the importance of screening for this population. The need for IBH services during the COVID‐19 pandemic increased, underscoring the value and demand for these services particularly during an unprecedented time.
Correlation between motor behavior and age‐related intervertebral disc degeneration in cynomolgus monkeys
Authors: Wang Jianmin , Zhu Peixuan , Pan Ximin , Yang Jun , Wang Shijun , Wang Wentao , Li Baoliang , Zhu Zhengya , Tang Tao , Chen Dafu , Gao Manman , Zhou Zhiyu 
Published: January 2022

AbstractBackgroundThe motor behavior in patients with lumbar intervertebral disc degeneration (IDD) and animal models should be changed due to pain. However, there does not seem to be a strong correlation between IDD and motor behavior. Therefore, it is necessary to understand the correlation between motor behavior and age‐related IDD.MethodsTwenty‐one healthy male cynomolgus monkeys (Macaca fascicularis) distributed across the age range were included in this study. The experimental animals were divided into two groups: caged group (n = 14) and free‐range group (n = 7). The data of IDD and motor behavior were obtained through magnetic resonance imaging (MRI) and PrimateScan Automatic Behavior Analysis System. More than 20 basic motor behaviors could be recorded and quantified, and then reclassified into 9 combined categories. We defined the sum of the duration of activity‐related combined categories as the total duration of activity in 3 hours. The activity zone of the cynomolgus monkeys in the cage could be divided into top and bottom zones. Analyze the correlation between motor behavior and IDD.ResultsAge was correlated with both Pfirrmann grades (r = .700; P < .001) and T2 values (r = −.369; P < .001). The T2 value in the caged group was 45.97 ± 8.35 ms, which was significantly lower than the 55.90 ± 8.73 ms in the free‐range group (P < .001). The mean T2 values were positively correlated with hanging duration (r = .548, P < .05), the total duration of activity (r = .496, P < .05), and top zone duration (r = .541, P < .05).ConclusionsThere is an interactional relationship between IDD and motor behavior. Motor behavior could be used as one of the diagnostic indicators of IDD. It could also be used to infer the presence or extent of IDD in animal models. Avoiding a sedentary lifestyle and engaging in exercise in daily life could alleviate IDD.
A randomized clinical trial of prolonged exposure and applied relaxation for the treatment of Latinos with posttraumatic stress disorder
Authors: Vera Mildred , Obén Adriana , Juarbe Deborah , Hernández Norberto , Kichic Rafael , Hembree Elizabeth A. 
Published: January 2022

AbstractRobust evidence supports the use of prolonged exposure therapy (PE) as a first‐line treatment for posttraumatic stress disorder (PTSD). However, Latinos have not benefitted equally from advancements in the treatment of PTSD and continue to face barriers to receiving care. There is consensus that it is necessary to support the expansion of high‐quality culturally and linguistically appropriate treatment to address disparities experienced by racial and ethnic minorities in behavioral health care. The current study was a randomized controlled trial comparing a culturally adapted PE intervention with applied relaxation (AR) among Spanish‐speaking Latinos with PTSD in Puerto Rico. Eligible participants (N = 98) were randomly assigned to PE (n = 49) or AR (n = 49). Both treatments included 12–15 weekly sessions each lasting 60–90 min. The primary outcome, clinician‐rated PTSD symptom severity, was assessed using the Clinician‐Administered PTSD Scale for DSM‐5 at baseline, posttreatment, and 3‐month follow‐up. Secondary outcomes were assessed using the Patient Health Questionnaire and State–Trait Anxiety Inventory. Results showed a large within‐group effect of treatment on PTSD symptoms, PE: d = 1.29, 95% CI [1.12, 2.05]; AR: d = 1.38, 95% CI [1.21, 2.19]. The between‐group effect on PTSD symptoms was small, d = −0.09, 95% CI [−0.48, 0.31]. Participants in both treatment conditions reported significant decreases in PTSD symptoms from baseline to follow‐up; additionally, significant within‐group reductions in depression and anxiety symptoms were observed. These findings underscore the potential benefit of PE and AR for the treatment of Spanish‐speaking Latinos with PTSD.
Addressing co‐occurring suicidal thoughts and behaviors and posttraumatic stress disorder in evidence‐based psychotherapies for adults: A systematic review
Authors: Rozek David C. , Baker Shelby N. , Rugo Kelsi F. , Steigerwald Victoria L. , Sippel Lauren M. , Holliday Ryan , Roberge Erika M. , Held Philip , Mota Natalie , Smith Noelle B. 
Published: January 2022

AbstractPosttraumatic stress disorder (PTSD) is a well‐established risk factor for suicidal thoughts and behaviors. Historically, guidelines for treating PTSD have recommended against the use of trauma‐focused therapies for patients who are at high risk for suicide, likely due to concerns about potential suicide‐related iatrogenesis, specifically the “triggering” of suicidal behaviors. This systematic review examined evidence of the impact of treatments specifically designed to treat PTSD or suicide on both PTSD‐ and suicide‐related outcomes. The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines were followed, and a total of 33 articles met the full inclusion criteria: 23 examining PTSD treatments, four examining suicide‐focused treatments, and six examining combined treatments. PTSD and combined treatments reduced both PTSD‐ and suicide‐related outcomes, with most studies focusing on cognitive processing therapy or prolonged exposure. Suicide‐focused treatments (e.g., cognitive therapies for suicide prevention) also reduced suicide‐related outcomes, but the findings were mixed for their impact on PTSD‐related outcomes. Overall, PTSD treatments had the most support, primarily due to a larger number of studies examining their outcomes. This supports current clinical guidelines, which suggest utilizing PTSD treatments for individuals who have PTSD and are at risk for suicide. Suicide‐focused and combined treatments also appeared to be promising formats, although additional research is needed. Future research should seek to compare the effectiveness of the approaches to the treatment of PTSD and suicidal thoughts and behaviors concurrently as well as to inform guidelines aimed at supporting decisions about the selection of an appropriate treatment approach.
Analysis of socioeconomic factors in laryngology clinic utilization for treatment of dysphonia
Authors: White Shane W. , Bock Jonathan M. , Blumin Joel H. , Friedland David R. , Adams Jazzmyne A. , Tong Ling , Osinski Kristen , Luo Jake 
Published: January 2022

AbstractObjectiveTo evaluate the association between patient socioeconomic and demographic factors and tertiary care utilization for dysphonia in a localized metropolitan area of the American Midwest.MethodsMultivariate regression analysis was used to correlate patient demographics and population level data (e.g., age, gender, race, insurance, median income, education level) with tertiary laryngology utilization for dysphonia care at our institution between 2000 and 2019. Initial analyses characterized tertiary laryngology utilization rates for all regional ZIP codes and correlated these data with census information for household income and education. Dysphonia patient demographics were compared among populations cared for in our entire academic Otolaryngology department, our health system, and the regional population.ResultsAmong 1,365,021 patients in our health system, there were 7066 tertiary laryngology visits with a diagnosis of dysphonia. Dysphonia patients as compared to the overall health system were older (62.0 vs. 50.8 years), more likely to be female (63.7 vs. 50.2%) and more likely to have insurance (98.4 vs. 87.5%, all p < .001). Patient and population‐level factors including insurance status, education, and black race showed positive correlation with laryngology utilization while median income did not.Conclusions and RelevanceInsurance status, education level, and race correlated with utilization of tertiary laryngology services for the evaluation of dysphonia in our community, while median income did not. Black patients utilized tertiary laryngology care at higher rates compared to departmental and regional population utilization data. These results underscore important demographic and disease‐specific factors that may affect utilization of subspecialty care in Otolaryngology.Level of EvidenceIV
Chemiedidaktik: Anodenmaterial für Lithiumionenakkus untersuchen
Authors: Rosenberg Dominique 
Published: January 2022

AbstractBatterien auf Lithiumionenbasis mit Graphitanoden sind die meistverwendeten Energiespeicher für Tablets, Smartphones oder Elektroautos. Eisensulfid als Anodenmaterial könnte leistungsstärkere Akkus liefern. Diese lassen sich auch im Chemieunterricht und im Hochschulpraktikum darstellen und experimentell untersuchen.
Digitalisierung: Mit einem E‐Book in die organische Chemie starten
Authors: Cornelius Soraya , Bohrmann‐Linde Claudia 
Published: January 2022

AbstractWenn E‐Books für den Chemieunterricht als interaktive Selbstlernbücher gestaltet sind, also beispielsweise Erklärvideos, Quizze oder Lern‐Apps enthalten, fördern sie eigenständiges Arbeiten der Lernenden. Auch Experimentieranleitungen bieten sich als Inhalt solcher Selbstlernbücher an.
Smartes mit Singulett‐Sauerstoff
Authors: Galstyan Anzhela 
Published: January 2022

AbstractAuch wenn Singulett‐Sauerstoff (1O2) ein kurzlebiger, metastabiler, angeregter Zustand des molekularen Sauerstoffs ist, stellt er ein attraktives synthetisches Werkzeug für nachhaltige Oxidationen dar. Darüber hinaus könnte die O2‐Sensibilisierung für die Biokonjugation von Proteinen genutzt werden und sich eignen, zelluläre Umgebungen in lebenden Zellen zu untersuchen.
Trendbericht Festkörperchemie 2022
Authors: Wolf Silke , Klemenz Sebastian , Bruns Jörn 
Published: January 2022

AbstractÜber weiße Magnete, ungewöhnliche Hydride, ein Elektrid gewonnen aus Plasma, den Kampf zwischen Lewis und Brønsted, Synthesen unter hohem und höherem Druck, nachhaltige Batteriematerialien sowie Katalysatoren für die Wasserspaltung und mehr.
Arbeitsschutz: Winziges abwaschen
Authors: Wetterau Jörg 
Published: January 2022

AbstractDer Leibniz‐Forschungsverbund Nanosicherheit will Nanomaterialien und ‐produkte schon in der Entwicklung sicherer gestalten. Falls doch einmal Partikel auf die Haut gelangen, hat ein Start‐up ein Mittel entwickelt, das diese von der Haut entfernt.
Chemie gegen Antibiotikaresistenzen?
Authors: Groß Michael 
Published: January 2022

AbstractAntibiotikaresistenzen breiten sich bedrohlich aus. Mit der seit Jahrzehnten etablierten Methode, natürliche Antibiotika semisynthetisch zu variieren, ist das Rennen gegen die Evolution nicht mehr zu gewinnen. Cleverer Einsatz von Strukturbiologie, Chemie und Computern soll jetzt die Wende bringen.
Towards a Modular Elbow Exoskeleton: Concepts for Design and System Control
Authors: Ersoysal Samet , Hoffmann Niclas , Ralfs Lennart , Weidner Robert 
Published: January 2022

AbstractIn industrial workplaces, strenuous, repetitive, and long-term tasks at head level or above as well as carrying heavy loads may lead to musculoskeletal disorders of different task dependent body parts. With an increasing trend towards wearable support systems, there is already a large quantity of exoskeletons that may support the user during movements, or stabilize postures, in order to reduce strain on various parts of the body. However, most commercially available exoskeletons mainly focus on the back and shoulder support. Only a few of them address the elbow joint, despite it being prone to injury. Therefore, this paper discusses different possible design and control concepts of modular elbow exoskeletons. The modular architecture potentially enables coupling to existing commercial- and research-associated systems, through appropriate interfaces. Different morphological structures and control mechanisms are assessed in respect to their ability to extend common exoskeletons for back and shoulder support. Based on these considerations, a first functional passive prototype is presented, which supports the flexion of the elbow joint and can be coupled to an existing exoskeleton. In future work, the prototype may be used for further elaboration and practical investigations in laboratory settings to evaluate its technical functionality and biomechanical effects on the user.