bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the Efficiency of Waste Heat Recovery Systems by Means of a Novel Combined Turbine-Peltier System
Authors: TEKİN Ozan , BARZEGAR Ramin , SÖYLEMEZ Mehmet Sait 
Published: December 2023

Abstract
A novel Combined Turbine-Peltier System (CTPS) was designed and built to harness both thermal and kinetic energies of the exhaust gas of an engine and convert it to electrical power. The Turbine-Generator was connected to the turbocharger shaft and the Thermoelectric Generators (TEG) were assembled between the heat exchangers mounted on the exhaust pipe. The Computational Fluid Dynamics (CFD) approach and Taguchi optimization technique were employed in order to analyze and optimize the flow field and heat transfer characteristics of the system. Based on the optimized numerical results, an experimental setup was designed and manufactured, and the experiments were conducted on an engine operating at different load and speed conditions. The harvested maximum power output for a single TEG was 5.5 W with the thermal efficiency of 3.6% and the net output power of the CTPS was 190 W obtained at the engine speed of 3000 rpm. The maximum increase in the power of the ICE combined with CTPS method was calculated as 1.6%. The obtained numerical results were compared with the experiments and showed a good accordance with the maximum deviation of 6%.
Initial experience of a novel ureteral silicon-covered metallic mesh stent in malignant ureteric obstruction
Authors: Lee Chung Un , Choo Seol Ho , Boo Youngjun , Chung Jae Hoon , Han Deok Hyun 
Published: December 2023

Abstract
Purpose
To investigate initial experiences and outcomes of a retrograde inserted new silicone-covered metallic ureteric stent (Urexel™) for malignant ureteric obstruction.
Methods
We reviewed the medical records for 12 consecutive patients who underwent Urexel™ stent placement for malignant ureteric obstruction from March 2020 to March 2021. The Urexel™ stent is a segmental metallic ureteric stent composed of a nitinol mesh covered with a silicone membrane. We evaluated the clinical outcomes and complications of this new metallic ureteric stent.
Results
The median age of patients was 61.5 (44–82) years, and the median follow-up was 25.5 (4–37) months. One of the 12 patients underwent bilateral stent insertion, Urexel™ stents were placed in a total of 13 ureteral units. There was no technical failure during stent placement. The median length of obstructions was 9 (1–22) cm. Balloon dilation was necessary in 38.5% (5/13 ureter units) of cases. The 1-year success rate was 76.9%, 2-year success rate was 61.5, and overall success rate was 53.8%. Encrustation, migration and hyperplasia were the cause of overall treatment failure in all 6 cases of failure, with median elapsed time to failure of 9.5 (1–30) months. Common complications included persistent pain, acute pyelonephritis, and lower urinary tract symptoms, but they were Clavien-Dindo grade I or II.
Conclusions
In this initial series of novel ureteral silicon-covered metallic mesh stents, Urexel™ showed favorable outcomes with a high success rate and acceptable complication rate in malignant ureteric obstructions.
Red blood cell transfusion in a tertiary Haitian hospital's emergency department: patient characteristics and availability challenges
Authors: Jacques Flawendjee Djaweelentz , Julmisse Samentha Cyndie , Laurore Ange Cindy , Lefruit Ralph Mackenson , Chery Maurice Junior , Dubique Kobel 
Published: December 2023

Abstract

Background
Red blood cell (RBC) transfusions are essential for many patients admitted to emergency departments. However, accessibility to red cell transfusions is often limited, especially in low-income countries such as Haiti. This article aims to determine the proportion of patients requiring emergency transfusion, transfused patients' characteristics, as well as the response rate and timeliness of blood product delivery for requests made.
Study design and Methods:
A cross-sectional study was conducted among all patients with red blood cell transfusion indications from January to June 2022 at the Emergency Department of Mirebalais Teaching Hospital. The parameters studied included transfusion indications, pre-transfusion hemoglobin levels, indications, pre-transfusion hemoglobin levels, and delay from prescription to transfusion.
Results
During the study period, 3993 patients received treatment. The proportion of patients requiring RBCs was 6.6%, including 145 males and 117 females, with a mean age of 44 years ranging from 9 to 84 years. Only 21.7% of these patients received a transfusion. The average pre-transfusion hemoglobin level was 4.75 ± 1.68 mg/dL. The most common indications for transfusion were infection/sepsis (36.74%), trauma (23.48%), and cancer (21.57%). The median time delay from prescription to transfusion was 2.37 days [IQR: 0.97–4.93 days].
Conclusion
RBC transfusion requests are frequent in the emergency department of Mirebalais Teaching Hospital, with a relatively high transfusion delay. Further studies on the relevance of RBC requests and ways to reduce delay from prescription to transfusion would be beneficial to improve this situation.
Assessing and improving public health service capability of primary healthcare personnel: A large-scale survey in Henan Province, China
Authors: Liu Rongmei , Zhao Qiuping , Dong Wenyong , Guo Dan , Shen Zhanlei , Li Yi , Zhang Wanliang , Zhu Dongfang , Zhang Jingbao , Bai Junwen , Ren Ruizhe , Zhen Mingyue , Zhang Jiajia , Cui Jinxin , Li Xinran , Miao Yudong 
Published: December 2023

Abstract
Background
The public health service capability of primary healthcare personnel directly affects the utilization and delivery of health services, and is influenced by various factors. This study aimed to examine the status, factors, and urban-rural differences of public health service capability among primary healthcare personnel, and provided suggestions for improvement.
Methods
We used cluster sampling to survey 11,925 primary healthcare personnel in 18 regions of Henan Province from 20th to March 31, 2023. Data encompassing demographics and public health service capabilities, including health lifestyle guidance, chronic disease management, health management of special populations, and vaccination services. Multivariable regression analysis was employed to investigate influencing factors. Structural Equation Modeling (SEM) elucidated relationships and mechanisms among different capabilities, and Propensity Score Matching (PSM) quantified urban-rural differences.
Results
The total score of public health service capability was 80.17 points. Gender, education level, average monthly salary, professional title, health status, employment form, work unit type, category of practicing (assistant) physician significantly influenced the public health service capability (all P < 0.05). Chronic disease management, health management of special populations, and vaccination services directly influenced health lifestyle guidance (all P < 0.05). PSM analysis revealed rural primary healthcare personnel had higher public health service capability scores than urban ones.
Conclusions
The public health service capability of primary healthcare personnel in Henan Province was relatively high, but chronic disease management required improvement. Additionally, implementing effective training methods for different subgroups, and improving the service capability of primary medical and health institutions were positive measures.
A predictive diagnostic model for refractory diffuse large B-cell lymphoma: a single-center retrospective cohort study
Authors: 林 韵 , Sun Yang , Zhang Yongyue , Zhang Rongjin , Wang Shumin , Jing Hongmei , Cui Ligang , Li Chunyuan 
Published: December 2023

Abstract
Objective：This study aimed to develop a model utilizing ultrasonic characterizations and clinical indicators and assess its effectiveness in predicting refractory diffuse large B-cell lymphoma (R DLBCL).
Methods：This study enrolled a total of 140 cases for analysis. Following histopathological examination,ultrasound, positron emission tomography/computed tomography, and standard chemotherapy，the patients were categorized into either the refractory group or non-refractory group based on the Lugano criteria. Differences in clinicopathological characteristics,ultrasonic characterizations,maximum standardized uptake values and laboratory indexes were assessed . The diagnostic efficacy of the predictive model was analyzed through the construction of a receiver operating characteristic (ROC) curve .
Results：In the univariate analysis，statistically significant differences were observed in lesion diameter, lactate dehydrogenase levels, margin blur , peripheral tissue echo enhancement, stage, International Prognostic Index score, and bone marrow involvement between the refractory group and non-refractory groups (P < 0.05). Multifactor analysis identified margin blur and peripheral tissue echo enhancement as independent predictors. The establishment of the risk prediction model histogram through multivariate logistic regression analysis yielded an area under the ROC curve of 0.773, indicative of the prediction models robust differentiation capabilities . In the decision curve analysis，configuring threshold probability to 42.2% resulted in a clinical net benefit rate of 23.5% .
Conclusion：The prediction model of the R DLBCL prediction model，amalgamating ultrasonic characterizations and clinical indicators ，proves instrumental in identifying high-risk DLBCL groups .This identification holdssignificant value for the tailored selection of personalized treatment strategies.
Early minimal residual disease eradication in light chain amyloidosis generates deeper and faster cardiac response
Authors: Liu Peng , Xu Tianhong , Li Jing , Yang Yang , Wang Wenjing , Zhou Chi , Wang Pu , Yu Chenqi 
Published: December 2023

Abstract
Minimal residual disease (MRD) is of growing interest in light chain (AL) amyloidosis and is associated with higher rates of cardiac response. A new graded cardiac response criteria has been proposed for better assessment of cardiac improvement. We evaluated MRD status in 63 patients with cardiac AL amyloidosis using next generation flow cytometry within four cycles after treatment initiation and cardiac response kinetics. The overall early MRD negative rates was 33.3%. Patients who achieved early MRD negativity were less likely to harbor t(11;14) (21.1% vs 57.5%, P=0.009). The MRD negative rates amongst patients in hematologic complete response were 66.7%, and in very good partial response 29.2%. Early MRD negativity was associated with a higher likelihood of achieving ≥cardiac partial response (≥CarPR) (66.7% vs 38.1%, P=0.032) and ≥cardiac very good partial response (≥CarVGPR) (38.1% vs 11.9%, P=0.023) throughout first-line therapy. The cumulative incidence curve of achieving ≥CarPR (P=0.034) and ≥CarVGPR (P=0.026) showed significant difference between early MRD negative and positive group. After a median follow-up time of 27.2 months, the median progression free survival was longer in early MRD negative group (not reached vs 31.3 months, P=0.033). Early MRD eradication in cardiac AL amyloidosis generated deeper and faster cardiac organ response.
Evaluation of mAb 2C5-modified dendrimer-based micelles for the co-delivery of siRNA and chemotherapeutic drug in xenograft mice model
Authors: Yalamarty Satya Siva Kishan , Filipczak Nina , Pathrikar Tanvi , Cotter Colin , Ataide Janaína Artem , Paranjape Swarali , Torchilin Vladimir 
Published: December 2023

Abstract
A combination therapy with small interfering RNA (siRNA) and chemotherapeutic drug is proven to be effective in downregulating the cancer resistance proteins, such as P-glycoprotein (P-gp). These proteins are involved in multidrug resistance (MDR) of tumors. MDR lowers the efficacy of chemotherapy and even renders it ineffective. A possible strategy to counteract the resistance is by downregulating the resistance proteins using siRNA. A targeted formulation capable of delivering siRNA and chemotherapeutic drug will not only downregulate P-gp but also increase the concentration of the chemotherapeutic drug at the site of tumor thereby increasing the therapeutic effect and lowering the systemic exposure. In this study, monoclonal antibody 2C5-modified dendrimer-based micelles were used to co-deliver siRNA and doxorubicin (DOX) to the tumor site in both male and female xenograft mice model. The nucleosome-specific 2C5 antibody recognizes the cancer cells via the cell-surface bound nucleosomes. The ability of the 2C5-modified formulation in affecting the metastasis of highly aggressive triple negative breast cancer (MDA-MB-231) was assessed via wound healing assay where the 2C5-modified formulation halved the rate at which the cells were migrating. Further, the therapeutic efficacy of the formulation was assessed by measuring the tumor volume progression where the 2C5-modified nanoparticle group had a similar tumor volume to the free drug group at the end of the study, although a 50% increase in DOX concentrations in blood was observed after the last dose of nanoparticle. Despite a higher DOX concentration and residence time we did not observe any systemic toxicities in the nanoparticle groups. The free drug group on the other hand showed body weight reduction as well as the visible irritation around the injection spot. The treatment group with 2C5-modified micelles has shown to be safe at the current dose of DOX and siRNA.The ability of 2C5 antibody-functionalized nanoparticles in delivering cargo to the tumor site in vivo was evaluated for DOX using ex vivo imaging and siRNA by western blot study to evaluate the levels of P-gp. Furthermore, the siRNA mediated P-gp downregualtion was studied using western blotting assay. We observed a 29% reduction of P-gp levels in both males and females with respect to the control (BHG). We also conclude that the dose of DOX and siRNA should be further optimized to have a better efficacy in a metastatic tumor model, which will be the subject of our future studies.
Updating Swedish hunting harvest estimates of open season game based on new methods and documented data
Authors: Lindström Tom , Jonsson Paula , Skorsdal Felicia , Bergqvist Göran 
Published: December 2023

Abstract
Reliable hunting bag statistics are central for informed wildlife management. In the absence of complete reporting, hunting harvest must be estimated based on partial data, which requires reliable data and appropriate statistical methods. In the Swedish system, hunting teams, whose positions are known to the level of Hunting Management Precincts (HMPs), report their harvest of open season game and the size of the land on which they hunt, and the harvest on the non-reported area is estimated based on the reports. In this study, we improved data quality by solving several identified issues in the spatial data and provided temporally consistent estimates of huntable land (EHL) based on documented assumptions. We applied a recently developed method, the Bayesian Hierarchical and Autoregressive Estimation of Hunting Harvest (BaHAREHH), to harvest reports of 34 species from 2003--2021, using both previous and updated EHL, and compared harvest estimates to previously available estimates using naïve linear extrapolation (LE), which has been used as Sweden’s official harvest statistics. We found that updating EHL had a minor effect on harvest estimates at the national level but sometimes had a large impact at the level of individual HMPs. At the national level, previous LE estimates were similar to updated BaHAREHH estimates for species harvested at large numbers, but discrepancies were observed for species harvested at low rates. Time series of harvest estimated with LE had exaggerated temporal trends, higher coefficient of variation, and lower autcorrelation. At the level of counties and HMPs, there were substantial differences for all species, with some harvest estimates differing by several orders of magnitude. We conclude that the previously available LE estimates are sensitive to individual reports that add variability to the estimates and are, for some species, unreliable, especially at the level of county and HMP.
Improving CE-QUAL-W2 calibration using a terrain-based wind sheltering coefficient tuning method
Authors: Shahi Zahra , Sharifi Mohammad Reza , Zakermoshfegh Mohammad 
Published: December 2023

Abstract
Effective studies have been conducted in the field of reservoir hydrodynamics and water quality simulation, including thermal stratification, selective withdrawal, and eutrophication modeling. In this model, the wind sheltering coefficient (WSC) plays a significant role in the calculations of the wind-induced shear stress and subsequently the reservoir thermal gradient. Due to the spatial variations of the wind across the water surface, the lack of a criterion for assigning values to the WSC, hinders the accurate tuning of its values during the calibration process. The trial and error method, which is time-consuming, is used to determine WSC. Therefore, in this study, the wind shelter index (Sx) was introduced to the CE-QUAL-W2 model as a criterion to achieve the spatial distribution of the wind shelter condition of the points on the water surface. A more accurate and faster calibration method was devised using Sx to determine WSC and estimate the thermal gradient in different parts of water bodies. For this purpose, the Dez Dam reservoir in Iran was divided into different segments, and the average Sx in each segment was calculated through a 30 × 30 m grid located on the lake's surface, and replaced the WSC values. The results showed that by using Sx in the temperature calibration of the CE-QUAL-W2 model, there was no need for trial and error in finding the best value for WSC and the RMSE was reduced from the 0.35–0.44 range to the 0.20–0.25 range.
Comparing Sleep Behaviors of Young Adults with and without Exercise Addiction: A Prospective Case- Control Study
Authors: Caglar Songul , Karaman Semih 
Published: December 2023

Abstract
Purpose: This study aims to compare the sleep behaviors of young adults with and without exercise addiction.
Setting:
Participants: Volunteers aged 18 to 30 years. The case group consisted of young adults who had exercise addiction (n=280), and the control group consisted of young adults who had no exercise addiction (n=454).
Methods: Exercise Addiction (normal, low-risk, risk, addicted, highly addicted), Sleep Hygiene (good, poor). Data collection was conducted via Google Forms and in-person from September 12th, 2022, to February 28th, 2023. Participants were screened with the exercise addiction scale and were divided into case and control groups according to the feedback results. Participants were reached through remote online participation in community-based sampling. It was designed as a web-based prospective case-control study.
Result: The mean age of the participants was 21.15±2.8. It has been determined that the rate of men was 61.5%, and 51.4% of the participants were engaged in team-based or individual exercise. There was no statistically significant difference between gender and the total EAS and SHI scores (p>.05). The EAS and SHI total scores of the participants having and not having sports branches showed a statistically significant difference (p<.05). The mean of the total EAS score of the participants who had sport branches (53.35±12.2) was statistically higher than the score of the participants who hadn't (39.50±12.8).
Conclusion: There was a statistically difference positive but low-level relationship between sleep hygiene and exercise addictions in the case group.
Decision tree model to predict ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells
Authors: Li Yingjia , Ma Hongbing 
Published: December 2023

Abstract
Background: Ovarian cancer is a serious malignant tumor that threatens women's health. And about 70% of ovarian cancers are in advanced stages when discovered. Currently, early diagnosis of ovarian cancer remains inadequate and effective treatments are lacking. Therefore, this study aims to use the decision tree method of artificial intelligence machine learning to build a model for predicting the benign and malignant degree of ovarian cancer patients.
Methods: This study retrospectively analyzed 758 patients with ovarian cancer who were admitted to the gynecology department of the Second Affiliated Hospital of Xi 'an Jiaotong University from January 2018 to December 2020. The patients were diagnosed by B-ultrasound, CT or MR. The clinicopathological features and circulating blood cell indexes were recorded and analyzed. It included age, BMI, course of disease, HE4, CA125, menopausal status, general information, ROMA index before and after menopause, tumor size and location, presence or absence of ascites, red blood cell related indexes, white blood cell related indexes and platelet related indexes. Finally, the prediction model of benign and malignant ovarian tumors was constructed by CART decision tree, and the subject working curve was drawn to evaluate the predictive value of the decision tree model.
Results: In this study, after statistical analysis, it was found that significant predictor variables include age, disease duration, patient general condition and menopausal status, ascites, tumor location and characteristics, HE4, CA125, ROMA index, and blood routine related indicators (except for tropism basal granulocyte percentage and absolute value). The multicollinearity between the independent variables was not obvious. In the constructed decision tree model, ROMA_after was the root node with the maximum information gain. This decision tree used indicators such as ROMA_after, CA125, PLT, Age, LY%, LY and HE4. The area under the receiver operating characteristic curve (AUC) of this model for predicting benign and malignant ovarian cancer was 0.89.
Conclusion: The decision tree model was successfully constructed based on clinical indicators and preoperative circulating blood cells. Our decision tree model showed better results in predicting benign and malignant ovarian cancer than imaging indicators and biomarkers alone. This means that our model can more accurately predict benign and malignant ovarian cancer.
Post-natal Steroid Exposure in Very Low Birthweight Neonates and Associations with Acute Kidney Injury
Authors: Coleman Cassandra , King Jeffrey , Selewski David , Newman Jill , Steflik Heidi 
Published: December 2023

Abstract

Objective:
The relationship between adrenal insufficiency (AI), post-natal steroids (PNS) and neonatal acute kidney injury (AKI) remains understudied. We aimed to investigate associations between PNS and AKI in very low birthweight (VLBW) neonates, hypothesizing PNS is independently associated with reduced AKI.
Study Design:
We conducted a single-center retrospective review of VLBW infants. Comparisons were made between those with and without PNS exposure. Associations between PNS exposure and AKI were evaluated using generalized linear mixed-modeling adjusted for confounders.
Result:
Of 567 neonates, 97 (17.1%) were exposed to PNS and 130 (22.9%) experienced AKI. Infants with PNS had lower gestational age, birthweight, Apgar scores, and experienced more AI versus those without PNS (all p <0.05). PNS was independently associated with AKI (aRR 1.72, 95% CI 1.09 – 2.72).
Conclusion:
PNS exposure is independently associated with increased AKI in VLBW neonates. Further analysis is needed to investigate the role of AI and AKI.