bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic analysis of apoptosis-related genes in the prognosis of Lung squamous cell carcinoma: a combined single-cell RNA sequencing study
Authors: Zhu Peiquan , Yang Wenxing , Wang Biao , Hu Zhi , Zhang Dengguo , Yang Ze , Wang Kaiqiang , Pu Jiangtao 
Published: June 2023

Abstract
Purpose
Lung squamous cell carcinoma (LUSC) has a poor prognosis and lacks appropriate diagnostic and treatment strategies.Apoptosis dysregulation is associated with tumor occurrence and drug resistance, but the prognostic value of apoptosis-related genes (ARGs) in LUSC remains unclear.
Methods
We constructed an ARGs model that can predict LUSC through univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression analysis based on differentially expressed ARGs. We conducted correlation analysis of prognostic ARGs by combining the dataset of normal lung tissue from the Genotype-Tissue Expression (GTEx) database. Then, we constructed a risk model and the predictive ability of the model was evaluated by using ROC (Receiver Operating Characteristic Curve) analysis. NSCLC single-cell RNA sequencing (scRNA-seq) data were downloaded from the Gene Expression Omnibus (GEO) database. Cell subgroups were determined and annotated by dimensionality reduction clustering, and the cell subgroups in disease development were clarified by establishing pseudotime analysis using Monocle.
Results
We identified four apoptosis prognostic genes and constructed a stable prognostic risk model. Kaplan-Meier curve analysis showed that the high-risk group had a poorer prognosis (P < 0.05). Furthermore, the ROC curve confirmed that the model had good predictive value for LUSC patients. Through analysis of single-cell sequencing data, apoptosis prognostic genes were found to be enriched in epithelial cells, smooth muscle cells, and T cells. Pseudotime analysis was used to infer the differentiation process and time sequence of cells.
Conclusions
This study identified apoptosis-related genes that are associated with prognosis in LUSC, and constructed a risk model based on these prognostic genes that accurately predicts the prognosis of LUSC. Single-cell sequencing analysis provided new insights into the cellular-level development of tumors. These findings provide more guidance for the diagnosis and treatment of LUSC patients.
Deep Inspiratory Breath-hold Technique (DIBH) In Postoperative Radiotherapy For Patients With Left-sided Breast Cancer: Dosimetric Analysis, Clinical Evaluation, and Prediction
Authors: SHEN Jing , ZHANG Kun , Meng Xiangyin , Yang Bo , Ma Jiabin , Hu Ke , Hou Xiaorong , ZHANG Fuquan 
Published: June 2023

Abstract
Background: Radiotherapy has long been connected with a risk of cardiovascular disease. In order to help in the selection of DIBH patients for patients with left breast cancer who underwent radiotherapy after breast conserving surgery, our research aims to evaluate the dosimetric advantages of deep inspiration breath holding technique (DIBH) and the clinically available prediction criteria.
Materials and Methods: 58 patients with left breast cancer who had had breast conserving surgery were scanned with planned CT for free breathing (FB) and DIBH. The IMRT plan was created, the dosimetry and anatomical characteristics of the two groups were assessed and analyzed, myocardial enzymes were tested in all patients within 2 weeks before to, throughout, and 6 months after radiation. The paired t-test and correlation were evaluated using Pearson correlation. Linear regression is used to select prediction parameters.
Results: 1)The average cardiac dose Dmean of the DIBH group signifificantly dropped as compared to the FB group, 3.81 Gy vs 1.65 Gy, p=0.001, and the cardiac V40, V30, V25, V10, and V5 likewise dramatically decreased. LAD's mean and maximum doses both reduced signifificantly, with LAD Dmean 20.29 Gy and LAD Dmax 42.73 Gy and p values of 0.001 and 0.001, respectively. 2) 9/58 patients (15.51%) had changes in myocardial enzymes ,with CTnI was the most sensitive(5 patients) and 4 patients had changes in NTproBNP. Using the method of cross table and binary logic analysis, the changes of myocardial enzymes have no clear statistical correlation with other factors but the exposure dose of the heart, and the ROC curve analysis shows that AUC is 0.6. 3) When the average cardiac dose of Dmean is taken as cut-off 2Gy, SE and SP are both more than 0.7, and the incidence of cardiac events is high, Pearson coefficient is 0.874.
Conclusion: DIBH can significantly reduce the cardiac radiation dose of left breast cancer patients, and the cardiac radiation dose is strongly related to the changes of myocardial enzymes. The cardiac radiation dose Dmean more than 2Gy and the incidence of cardiac events can better screen patients with greater benefits from DIBH.
Alya towards Exascale: Algorithmic Scalability using PSCToolkit
Authors: Owen Herbert , Lehmkuhl Oriol , D'Ambra Pasqua , Durastante Fabio , Filippone Salvatore 
Published: June 2023

Abstract

In this paper we describe some work aimed at upgrading the Alya code with up-to-date parallel linear solvers capable of achieving reliability, efficiency and scalability in the computation of the pressure field at each time step of the numerical procedure for solving a LES formulation of the incompressible Navier-Stokes equations. We developed a software module in the Alya's kernel to interface the libraries included in the current version of PSCToolkit, a framework for the iterative solution of sparse linear systems on parallel distributed-memory computers by Krylov methods coupled to Algebraic MultiGrid preconditioners. The Toolkit has undergone some extensions within the EoCoE-II project with the primary goal to face the exascale challenge. Results on a realistic benchmark for airflow simulations in wind farm applications show that the PSCToolkit solvers significantly outperform the original versions of the Conjugate Gradient method available in the Alya kernel in terms of scalability and parallel efficiency and represent a very promising software layer to move the Alya code towards exascale.
Is home environment associated with child general intellectual abilities in middle childhood in high-risk settings? Findings from a rural cohort in Pakistan
Authors: Rasheed Muneera , Nilsen Sondre Aasen , Strand Tor A. , Shaheen Fariha , Kvestad Ingrid 
Published: June 2023

Abstract
Background
A strong body of evidence from low- and middle-income countries (LMIC) suggests that home environment is associated with early childhood development outcomes. However, studies from LMIC that have examined the similar role of home environment with later cognitive abilities during middle childhood are scarce. The objective of the study was to explore the association between different aspects of the home environment and intellectual abilities at 7-8 years in a rural, high-risk cohort in Pakistan.
Methods
We employed a cross-sectional research design to examine 1172 children between 7-8 years and their families, utilizing the Home Observation for Measurement of Environment for Middle Childhood (HOME-MC) to evaluate various aspects of the home environment and the Fluid Reasoning Index (FRI) of the Wechsler Intelligence Scale for Children (WISC) 5th edition to gauge the intellectual abilities of the children. Multivariable regression analyses were used to examine the association between different indices of HOME-MC and FRI.
Findings
Learning materials and opportunities subscale (β = 1.74, 95% CI= 1.15, 2.33) had the strongest association with FRI score followed by Responsivity (β = 1.73, 95% CI=1.07, 2.38) and Family companionship (β = 1.27, 95% CI=.63, 1.90). The eight different indices of the home environment explained 22% of the total variation in FRI scores.
Conclusion
We conclude that concurrent learning opportunities, parental responsivity and family companionship at home are associated with intellectual abilities during middle childhood which is comparable to what has been found in early childhood years.
Impacts of climate change on crop growing season characteristics in Northern Ethiopia
Authors: Berhe Amdom Gebremedhin , Misgna Solomon Habtu , Abraha Girmay Gebresamuel , Abraha Amanuel Zenebe 
Published: June 2023

Abstract

Understanding the likely impact of climate change on crop growth is very important to identify possible areas of intervention and consider climate-related impacts. This study aimed to investigate the future impact of climate change on the crop growing season in the Tigray region. Five global climate models under two representative concentration paths were projected for future periods using a delta downscaling approach. Results indicate that projections of rainfall showed an increase in annual and summer (Kiremt) rainfall at most stations. However, the Belg rainfall season had a declining trend except under RCP4.5 in a mid-term period that showed positive changes at most stations. On the contrary, projections of maximum and minimum temperatures indicated a continuous increase. In line with the increase in temperatures, the reference evapotranspiration consistently increased at all stations. Cumulatively, late onset and early cessation of rainfall are observed, accompanied by a 5.5–19% reduction in the length of the growing period (LGP), exacerbating the current short LGP in the study area and affecting the proper growth and maturity of major crops. The findings of this study have global implications in that similar areas may be alarmed to get prepared ahead and develop adaptive and sustainable crop production strategies.
Anaerobic digestibility of aerobic granular sludge from continuous flow reactors: the role of granule size distribution
Authors: Dababat Salahaldeen , Berzio Stephan , Wichern Marc , Lübken Manfred 
Published: June 2023

Abstract

There is an increasing interest in integrating aerobic granular sludge (AGS) technology into wastewater industries. Several projects are being performed to cultivate the aerobic granules for continuous flow reactors (AGS-CFR), while there is a scarcity of those projects that investigate the bio-energy recovery from AGS-CFR. This research was designed to examine the digestibility of AGS-CFR. Beyond that, it aimed at defining the role of the granule size on their digestibility. For this purpose, a series of bio-methane potential (BMP) tests have been run at mesophilic conditions. The results showed that AGS-CFR has a lower methane potential (107.43 ± 4.30 NmL/g VS) compared to activated sludge. This may be the result of the high sludge age (30 days) of AGS-CFR. Additionally, the results revealed that the average size of granules is among the main factors that reduce their digestibility, but it does not inhibit it. It was noticed that granules of size &gt;250 μm have a significantly lower methane yield than the smaller ones. Kinetically, it was noticed that the kinetic models with two hydrolysis rates fit well with the methane curve of AGS-CFR. Overall, this work showed that the average size of AGS-CFR characterizes its biodegradability, which in turn defines its methane yield.
Ability of Cupriavidus necator H16 to resist, bioremove, and accumulate some hazardous metal ions in water
Authors: Akkurt Şeyma , Alkan Uçkun Aysel , Varınca Kamil , Uçkun Miraç 
Published: June 2023

Abstract
Bacterial biomasses are suitable and inexpensive biosorbents for the removal of metal ions. The Gram-negative betaproteobacterium Cupriavidus necator H16 is found in soil and freshwater environments. In this study, C. necator H16 was used to remove chromium (Cr), arsenic (As), aluminum (Al), and cadmium (Cd) ions from water. Minimum inhibition concentration (MIC) values of C. necator to Cr, As, Al, and Cd were found as 76, 69, 341, and 275 mg/L, respectively. The highest rates of Cr, As, Al, and Cd bioremoval were 45, 60, 54, and 78%, respectively. pH levels between 6.0 and 8.0 and an average temperature of 30 °C were optimum for the most efficient bioremoval. Scanning electron microscopy (SEM) images of Cd-treated cells showed that the morphology of the cells was significantly impaired compared to the control. Shifts in the Fourier transform infrared spectroscopy analysis (FTIR) spectra of the Cd-treated cell walls also confirmed the presence of active groups. As a result, it can be said that C. necator H16 has a moderate bioremoval efficiency for Cr, As, and Al and a high bioremoval efficiency for Cd.
A Rare Case Report: Bilateral Spontaneous Twin Tubal Ectopic Pregnancy
from Iran
Authors: Sarbazi Fereshte , Akbari Elham , Nasr Reza , Tamizi Nayereh , Khoshravesh Sahar 
Published: June 2023

Introduction/Background:
One of the main problems of women of reproductive age is ectopic
pregnancy. Lack of early diagnosis and treatment can lead to internal bleeding and death of the
patient. Approximately 1.2 to 1.4% of the reported pregnancies is ectopic pregnancy and one of the
rarest types of ectopic pregnancy is bilateral ectopic pregnancy, which is reported in only 0.0005% of
pregnant women.

Case Presentation:
A 35-year-old woman with polycystic ovary syndrome, weight 65 kg and height
153 cm, referred for pregnancy. Using examination and history taking, ultrasound and β-hCG titer
measurement, one of the masses at 5 to 6 weeks and in the area of the isthmus of the right tube and the
other mass two weeks later at 7 to 8 weeks, in the area Infundibulum of the left tube was diagnosed.
The most common complication that the patient complained about was abdominal pain and frequent
bleeding. Both times, the patient underwent laparoscopy and because of the patient's condition, salpingectomy
was performed on both left and right tubes of the patient.

Conclusion:
Due to the rarity of bilateral twin ectopic pregnancy, early diagnosis with the help of history
taking and clinical examination, measurement of β-hCG titer and ultrasound is necessary. Early
diagnosis can lead to the reduction of women's mortality.
Determination of Cyanide at Trace Levels by Computational Scanning
Densitometry
Authors: Waheed-Uz-Zaman  , Salman Muhammad , Farooq Umar , Dar Amara , Haq Isma , Burhan Tahira , Anwar Jamil , Manuel Anzano Jesús , Shafique Umer 
Published: June 2023

Introduction:
Cyanide is one of the most commonly present anions in industrial effluents,
highly toxic to human and animal life. Therefore, its determination in aqueous media by simple, portable,
and quick methods is required.

Objective:
This study aims to develop a simple and quick method to determine this anion at the micro
level in aqueous media without using any expensive instrument.

Method:
The method is based on treating the microliter sample of aqueous cyanide with the classical
Lassaigne’s reagents on a TLC plate. After heating in an oven for a few minutes, a deep blue spot of ferric
ferrocyanide complex appeared on the plate. The color depth of the spots was measured by scanning the
TLC plate and analyzing the image with an indigenous software package.

Result:
As a result of fusion with metallic sodium, carbon and nitrogen of the organic compound combine
to form cyanide, which first reacts with Fe(II) to form hexacyanoferrate ion [Fe(CN)6]4- that further combines
with Fe(III) to create a neutral deep blue colored coordination complex, ferric ferrocyanide
Fe4[Fe(CN)6]3.

Discussion:
This process converts real-world colors into numeric computer data consisting of rows and
columns of pixels. Each pixel will consist of three numeric components, i.e., red, green, and blue. The
pixel's color will be one of 16.8 million possible color combinations (256 shades of red, green, and blue
each).

Conclusion:
From the comparison of results obtained by the proposed method and standard ion-selective
electrode method, it can be concluded that the former method for determining micro quantities of cyanide
in aqueous samples using computational densitometry is a simple, accurate, and adequately precise method
without the involvement of sophisticated instrumentation.
Lifestyle Modulators of Neuroplasticity in Parkinson’s Disease: Evidence
in Human Neuroimaging Studies
Authors: Paola Caminiti Silvia , Gallo Silvia , Menegon Federico , Naldi Andrea , Comi Cristoforo , Tondo Giacomo 
Published: June 2023

Abstract:
Parkinson’s disease (PD) is a neurodegenerative disease characterized by both motor and
non-motor symptoms. A progressive neuronal loss and the consequent clinical impairment lead to
deleterious effects on daily living and quality of life. Despite effective symptomatic therapeutic
approaches, no disease-modifying therapies are currently available. Emerging evidence suggests that
adopting a healthy lifestyle can improve the quality of life of PD patients. In addition, modulating lifestyle
factors can positively affect the microstructural and macrostructural brain levels, corresponding
to clinical improvement. Neuroimaging studies may help to identify the mechanisms through which
physical exercise, dietary changes, cognitive enrichment, and exposure to substances modulate neuroprotection.
All these factors have been associated with a modified risk of developing PD, with attenuation
or exacerbation of motor and non-motor symptomatology, and possibly with structural and
molecular changes. In the present work, we review the current knowledge on how lifestyle factors
influence PD development and progression and the neuroimaging evidence for the brain structural,
functional, and molecular changes induced by the adoption of positive or negative lifestyle behaviours.
Research Patents on Potato Harvesters
Authors: Li Wei , Liu Yu , Li Chunyi , Zhang Rui , Huang Qiujiao , Yang Fan 
Published: June 2023

Background:
Potato is a major food crop that is widely grown in more than 100 countries
around the world. The production of this crop is a labor-intensive process, and its field production
mainly includes seed arrangement, seedling cutting, ploughing, ridging, transplanting,
field management, and harvesting (vine cutting, digging, cleaning up, and collection). With the
improved models, the labor can be reduced to nearly half in the production process of potato.

Objective:
The objective of this study was to provide a comprehensive description of the classification,
characteristics, and development of existing potato harvesters.

Methods:
In this study, a review on the principle of potato harvesting and related patents has been
conducted. We have also introduced the structural characteristics and differences in applications
of potato harvesters.

Results:
The existing potato harvesters have been analyzed and compared in this paper, and the
typical characteristics have been summarized. The main problems existing in the development of
potato harvesters are analyzed, the development trend of potato harvesters is forecasted, and the
research status and future development trend of potato harvesters and patents are discussed.

Conclusion:
Based on our research, we have found that potato harvesters can be classified into
three categories based on the harvesting process, clearing the vine, and harvesting machine. The
combine harvester is capable of both clearing the vine and harvesting, and it has been reported to
significantly improve the efficiency. However, for special terrain or other conditions not suitable
for the combine harvester, the cutting and harvesting machine can perform both the steps. Currently,
potato harvesters are not popular at home and abroad, and future development of potato harvesters
must focus on them being intelligent, lightweight, and unmanned.
Multi-objective Optimal Scheduling of Stacker–reclaimers Using the RPCNSGA
II Algorithm
Authors: Yi Lingzhi , Liu Qiankun , Wang Yahui , Zhang Huiting , Peng Xinlong 
Published: June 2023

Background:
The stacker-reclaimer is a device for transporting bulk materials in ironmaking
raw material yards. An excellent scheduling plan can provide a good raw material supply basis for steel
enterprises. It is of great significance to improve the efficiency of steel production, reduce unnecessary
operating waste and management costs, and realize scientific management of steel production.

Objective:
This patent aims to optimize the total material transportation time and equipment utilization
balance within a single operation plan of the stacker-reclaimer involved in the raw material yard.

Methods:
A multi-objective optimization model for the stacker reclaimer is established, and the Reverse
learning and Population Competitive-NSGA II (RPC-NSGA II) algorithm is introduced for solving.
This algorithm uses reverse learning and population competition mechanism to improve the convergence
and diversity of the algorithm.

Results:
The proposed method was experimentally verified in a raw material yard with a 360m2 sintering
machine and a bulk material port. The method converges well and obtains a Pareto front with a uniform
distribution. Compared with the actual scheduling plan, the scheduling plan under the optimal
compromise solution reduces the maximum completion time by 11.23 minutes and increases the equipment
utilization balance rate by 11.70%.

Conclusion:
The proposed method can consider the material transportation time and equipment utilization
balance, which is of great significance for the optimized use of the stacker reclaimer in steel enterprises
and the quality assurance of raw material supply