bluuebunny/crossref_metadata_2025_split huggingface dataset:
A pan-cancer analysis of the oncogenic role of 7-dehydrocholesterol reductase (DHCR7) in human tumors
Authors: Dai Wumin , Chen Yongyi , Gong Wangang , Su Ying , Zhang Yingli 
Published: July 2022

Abstract
Background: DHCR7, a switch between cholesterol and vitamin D synthesis that plays a pivotal role in tumorigenesis, is a promising therapeutic target in oncology. Despite increasing strong support for its importance, there is no pan-cancer analysis across multiple databases that can be available for in-depth data mining of the gene. Methods: We first investigated the potential oncogenic roles of DHCR7 based on tumor data from both The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). A variety of analytical methods were used to gain a better mechanistic understanding of DHCR7: gene expression, survival situations, genetic mutations, immunocyte infiltration, and correlative cellular pathways. Results: DHCR7 was highly expressed in many cancers, and distinct correlations exist between DHCR7 expression and prognosis of cancer patients. cBioPortal reported that a nonsense mutation of F215L* was considered to be the primary tumorigenic genetic alteration to DHCR7 and was found in cases of LUSC, STAD, and CESC. The DHCR7 expression levels were found to be positively correlated with level of infiltration of cancer-associated fibroblasts (CAFs) and myeloid-derived suppressor cells (MDSCs) and negatively correlated with anti-tumor immune cells in majority of tumors. The main enrichments for biological processes were steroid biosynthesis, cholesterol metabolic process, and lipid metabolic process for DHCR7. Conclusion: This is the first time to conduct a comprehensive pan-cancer analysis of DHCR7. It provides critical insights into the functions of DHCR7 in tumorigenesis and highlights the potential diagnostic and therapeutic targeted role of DHCR7 for cancers.
Attention-based Row Selecting Networks for Lane Detection
Authors: Jiang Man , Zhang Qian , Zhang Yuhang , Su Jiangtao 
Published: July 2022

Abstract
Most mainstream methods mainly regard lane detection as a pixel-by-pixel segmentation task, resulting in high computational cost and time-consuming, and the accuracy is influenced by severe occlusion and extreme lighting conditions. To tackle these issues, we propose a novel Attention-based Row Selecting Networks(ARS-Net), which utilizes the row selecting method based on global features to detect lanes, greatly improves the detection speed. At the same time, channel and spatial attention mechanisms are integrated into ResNet as the backbone to focus on important features and suppress unimportant ones, so as to adjust feature weights and reduce information loss. Besides, group normalization is employed to replace batch normaliza-tion, which enhances the stability of accuracy. We carry out immense amounts of experiments on two international public datasets TuSimple and CULane, the experimental results show that our method achieves the state-of-the-art performance in both accuracy and speed and significantly outperforms other methods for real-time and efficient lane detection in real-world applications.
Impact of main living room’s ventilation quality on occurrence of obstructive pulmonary diseases (Asthma and COPD) in Medina (Senegal)
Authors: THIAM Salimata , DAFFE Mahammadoul Lamine , THIAM Khady , BA Awa NDONG , FAYE Adama , DIAW Mor , NDIOR Mathilde Cabral , BAH Fatoumata , TOURE Nafissatou Omar , FALL Mamadou 
Published: July 2022

Abstract
Indoor air pollution is the underlying cause of 4 million deaths worldwide, of which 11% is directly attributable to obstructive pulmonary disease. This study made it possible to characterize indoor air pollution in the Medina (Dakar) and to estimate occurrence risk of obstructive pulmonary diseases associated to lack of ventilation in main living room. This is a cross-sectional study combining a socio-demographic survey, air quality metrology (CO, PM10, NO, CO2) and a Functional Respiratory Assessment (spirometry). Estimation of the risk was carried out by logistic regression by adjusting for a certain number of factors. Participants are distributed between 27 households using mainly gas (55.56%) and charcoal (29.63%) as cooking fuel and closed kitchens with window (66.67%). Obstructive pulmonary diseases are noted with an estimated prevalence of 33.06%. Regarding pollutants, levels are below WHO guidelines: CO (3.81 ppm), CO2 (531.5 ppm), PM10 (0.27 µg/m3) and NO (2.88 µg/m3). In addition, study reveals an occurrence risk (AOR [95%CI]) of obstructive pulmonary diseases multiplied by 2.54 [1.27–5.08] where ventilation of main living room is medium and for exposure to poor ventilation, risk is multiplied by 2.06 [1.02–4.17]. These results therefore suggest indoor air quality, in particular renewal of air in main living room, as a factor determining residents respiratory health.
An unusual tandem kinase fusion protein confers leaf rust resistance in wheat
Authors: Wang Yajun , Abrouk Michael , Gourdoupis Spyridon , Koo Dal-Hoe , Karafiátová Miroslava , Molnár István , Doležel Jaroslav , Athiyannan Naveenkumar , Cavalet-Giorsa Emile , Jaremko Łukasz , Poland Jesse , Krattinger Simon G. 
Published: July 2022

Abstract
The introgression of chromosome segments from wild relatives is an established strategy to enrich crop germplasm with novel disease resistance genes. Here, we use mutagenesis and transcriptome sequencing to clone the leaf rust resistance gene Lr9, which was introduced into bread wheat from the wild grass species Aegilops umbellulata. We establish that Lr9 encodes an unusual tandem kinase fusion protein. Long-read sequencing of a wheat Lr9 introgression line and the putative Ae. umbellulata Lr9 donor enabled us to assemble the ~28.4-Mb Lr9 translocation and to identify the translocation breakpoint. We likewise cloned Lr58, which was reportedly introgressed from Ae. triuncialis, but has an identical coding sequence compared to Lr9. Cytogenetic and haplotype analyses corroborate that the two genes originate from the same translocation event. Our work sheds light on the emerging role of kinase fusion proteins in wheat disease resistance, expanding the repertoire of disease resistance genes for breeding.
Growth dynamics and amorphous-to-crystalline phase transformation in natural nacre
Authors: Otter Laura , Eder Katja , Kilburn Matt , Yang Limei , O'Reilly Padraic , Nowak Derek , Cairney Julie , Jacob Dorrit 
Published: July 2022

Abstract
Biominerals, such as nacreous bivalve shells, are important archives of environmental information. The processes explaining how the organisms code this information into the structure and composition of their shells are yet unknown. Most marine calcifiers form their shells from amorphous calcium carbonate by particle attachment and stepwise crystallisation of metastable precursor phases. However, the mechanism of this transformation including its incorporation of trace metal ions used for environmental reconstructions are poorly constrained. Using the nacreous shell of the Mediterranean mussel, we explore the formation of nacre from the meso- to the atomic scale. We use a novel combination of strontium pulse-chase labelling in aquaculture experiments and correlative micro- to sub-nanoscale analysis to show that nacre grows in a two-step process and crystallizes via localised dissolution and reprecipitation within nanogranules. Our findings elucidate how stepwise crystallization pathways affect trace element incorporation in natural biominerals, while preserving their intricate hierarchical structure.
Violence Against Healthcare Workers in Haj El-Safi Teaching Hospital, Sudan: A Cross-Sectional Study
Authors: Gaafar Nada , Hemmeda Lina 
Published: July 2022

Abstract
Background: Although violence in the workplace occurs in all fields of work, healthcare workers are particularly vulnerable to this matter, whether it be in the form of physical or verbal abuse. This could lead to negative effects such as mental health issues, a desire to change the line of work and decreased productivity. Objectives: The purpose of this research was to assess violence against healthcare workers in Sudan, represented in Haj El-Safi Teaching Hospital in 2021. Methodology: This study is a hospital-based cross-sectional study that was carried out in Haj El-Safi Teaching Hospital. There was a total of 153 responses that were taken using proportional quota sampling. Data collection was done using a standardized closed-ended questionnaire and was analyzed using SPSS-20 (Statistical Package for Social Sciences-20). Results: The prevalence of physical violence was found to be 6.7% and the prevalence of verbal abuse was found to be 55.7%. Underreporting seems to be an issue, with 35.6% mentioning that they were unaware of procedures in place to report and of those who were aware of the presents of a reporting system, 27.3% did not know how to report. Participants seemed to be neutral (neither worried nor unworried) concerning workplace violence with the question on level of worriness having a mean of 2.7 ± 1.5.Conclusion: The results of this research were concerning. Approximately most of the included doctors experienced violence either from the patients or co-patients, and female were mostly affected than male. Most of the healthcare workers were aware of an established protective policy, but it was either inactive or inaccessible for them.
Municipal wastewater stabilization and the potential reuse for African Catfish (Clarias gariepinus) culture in waste-fed earthen ponds in the tropics
Authors: Nsiah-Gyambibi Rapheal 
Published: July 2022

Abstract
In many low to middle income countries like Ghana, most wastewater treatment plants operate below capacity owing to lack of maintenance and lack of proper management. This affects the stabilization efficiency of treatment plants. The Chirapatre wastewater treatment plant was established to serve as a model system for municipal wastewater treatment in the Ashanti region of Ghana, however, very little is known about its stabilization efficiency. This study evaluated the current stabilization efficiency of the Chirapatre stabilization ponds for municipal wastewater treatment, as well as the potential reuse of the stabilized effluents for wastewater-fed aquaculture. Stabilization efficiency (SE) were assessed using the physico-chemical analysis of the influent at the anaerobic stabilization pond and effluent at discharge of the 2nd maturation pond. African catfish Clarias gariepinus fingerlings of average size 40g were stocked into two maturation ponds at a density of 3 fish/m2. Fish were not fed during the study period. Sampling was done every 14 days to monitor growth, and total fish harvest was done at the end of the study (12th week). Variables monitored included: fish survival and growth performance (condition factor, weight gain, specific growth weight and yield) as well physicochemical water quality parameters. The results indicated that TSS, TDS, alkalinity, ammonia, COD, and BOD5 stabilization efficiency were 89.99%, 62.21%, 37.54%, 67.21%, 91.33% and 88.77% respectively. The plant was non-compliant in terms of morning DO and the ammonia levels in effluents which posed lethal to aquatic life in receiving waters. However, the plant satisfied the USEPA and GEPA standards for all other physicochemical parameters including the DO (evening) concentrations in effluent. Fish survival of > 65% with > 30 condition factors and fish yields of > 1500 kg/ha were recorded at the end of the study.
Q-functional applications
Authors: CR Jisha 
Published: July 2022

Abstract
The Q-measure indicate a weak* limit of the barycenter of a sequence of Borel measurable functions. In this paper, we will look only at Q-functional. Q-functional is defined by Q- measure, it is useful in the field of optimization. Computational results for Q-functional are presented and compared with Young functional. The obtained analytical results demonstrate relative error in Q-functional is lesser compared to Young functional.subjclass60A10, 65K10, 49J20, 97N40, 60B10.
The Unemployment – Inflation Dynamics: the role of Entrepreneurship Development in Nigeria.
Authors: Orji Jonah Olo , Opualla-Charles Silva 
Published: July 2022

Abstract
The study empirically discussed Unemployment – Inflation Dynamics: as it impacts Entrepreneurship Development in Nigeria spanning the period of 1990 -2021.The technique of Auto Regressive Distributed Lag (ARDL) model was employed to study the dependent variable of Private Sector Productive Capacity Index (PSPC) in Nigeria, proxy of Entrepreneurship Development, and the explanatory variables of Inflation rate (INFR);Commercial Bank Credit to Small Scale Enterprises as percent of total Credit to Private Sector (CBCER);Unemployment rate (UNEMPR);and Real Interest rate (RINTR). The findings revealed among others; a statistically significant positive relationship exist between UNEMPR and PSPC in Nigeria. As a result, non-inclusive and segregated approaches of institutions to government entrepreneurship development programmes especially on youth employment coupled with, institutional based constraints including property rights and justice system could be a cog on the wheel. RINTR resulted in a positively insignificant relation with PSPC yielding non-conformity to theoretical expectation owing to structural and financial inflexibility to enterprise development in Nigeria. Whereas, INFR conformed to expectation but statistically inadequate to expand the course of PSPC in Nigeria during the review period. However, policy recommendations based on research findings suggest proactive and practical steps be followed to adjust mundane policy frameworks and strict implementation to ensure financial inclusion to start – ups businesses and private sector to a large extent.
Realization of the Haldane Chern insulator in a moiré lattice
Authors: Mak Kin Fai , Zhao Wenjin , Kang Kaifei , Li Lizhong , Tschirhart Charles , Redekop Evgeny , Watanabe Kenji , Taniguchi Takashi , Young Andrea , Shan Jie 
Published: July 2022

Abstract
The Chern insulator displays a quantized Hall effect without Landau levels. In a landmark paper in 1988, Haldane showed that a Chern insulator could be realized through complex next-nearest-neighbor hopping in a honeycomb lattice. Despite its profound impact on the field of topological physics and recent implementation in cold-atom experiments, the Haldane model has remained elusive in solid-state materials. Here, we report the experimental realization of a Haldane Chern insulator in AB-stacked MoTe2/WSe2 moiré bilayers, which form a honeycomb moiré lattice with two sublattices residing in different layers. We show that the moiré bilayer filled with two charge particles per unit cell is a quantum spin Hall (QSH) insulator with a tunable charge gap. Under a small out-of-plane magnetic field, it becomes a Chern insulator with Chern number c=1 from magneto-transport studies. The results are qualitatively captured by a generalized Kane-Mele tight-binding Hamiltonian. The Zeeman field splits the QSH insulator into two halves of opposite valley--one with a positive and the other a negative moiré band gap. Our study highlights the unique potential of semiconductor moiré materials in engineering topological lattice Hamiltonians.
Fluorine-modified cobalt electrocatalyst for quinoline hydrogenation with water at room temperature
Authors: Guo Shuoshuo , Wu Yongmeng , Wang Changhong , Gao Ying , Li Mengyang , Zhang Bin , Liu Cuibo 
Published: July 2022

Abstract
The room temperature selective hydrogenation of quinolines to 1,2,3,4-tetrahydroquinolines (THQs) using a safe and clean hydrogen donor catalyzed by cost-effective catalysts is significant but challenging because of the difficult activation of quinolines and H2. Here, a fluorine-modified cobalt catalyst is synthesized via electroreduction of Co(OH)F precursor that exhibits high activity for electrocatalytic hydrogenation of quinolines by using H2O as the hydrogen source to produce THQs with up to 99% selectivity and 94% isolated yield under ambient conditions. F is revealed to enhance the adsorption of quinolines, and promote water activation to produce active atomic hydrogen (H*) by forming F−-K+(H2O)7 networks. A unique 1,4/2,3-addition pathway involving H* is proposed by combining experimental and theoretical results. Wide substrate scopes, scalable synthesis of bioactive precursors, expedient fabrication of deuterated analogues, and paired synthesis of tetrahydroquinoline and industrially important adiponitrile at a low voltage highlight the promising application of this methodology.
CBMAT: a data assistant for coordinate-based meta-analyses
Authors: Manuello Jordi , Liloia Donato , Cauda Franco , Costa Tommaso 
Published: July 2022

Abstract
Coordinate-based meta-analysis (CBMA) is a powerful technique in the field of human brain imaging research. Due to its intense usage, several procedures for data-preparation and post-hoc analyses had been suggested so far. However, these steps often manually performed by the researcher, being therefore potentially prone to errors and time consuming. We hence developed the Coordinate-Based Meta-Analyses Toolbox (CBMAT) to provide a suite of user-friendly and automated functions allowing to perform all these procedures in a fast, reproducible and reliable way. CBMAT is coded in MATLAB®, and at the current stage the code is freely shared by the authors upon request.
Pendekatan Artificial Neural Network untuk Mengestimasi Dimensi Optimum dan Rasio Tulangan Gedung
Authors: Harahap Kinanti Faradiba , Aminullah Akhmad , Priyosulistyo Henricus 
Published: July 2022

The conceptual design stage is necessary because it is considered as a fundamental input in decision making for maximizing the performance of a building. On the other hand, to maximize the performance of the building, there are many things that need to be considered. Therefore, an estimation of the optimum dimensions and the reinforcement ratios of beam and column was carried out at the conceptual design stage using the artificial neural network (ANN). ANN is a network based method that allows to get an accurate approach even with the limited information provided. This study aims to help engineers shorten the time for trial at the conceptual design stage. A total of 36 building variations modelling were prepared as the training data for the set up ANN model. Eight parameters used which consist of earthquake accelarations, soil sites class, joint types, beam spans, number of storey, high of storey, concrete strengths and diameters of the reinforcement. There are 16 empirical formulas for estimating the optimum dimensions and the reinforcement ratios of beam and column. The results showed that the dimensional regression values and the reinforcement ratio were 98.53% and 96.06% respectively. This value indicates that ANN can estimate well.
Stabilisasi Tanah dengan Penambahan Arang Kayu terhadap Nilai Daya Dukung CBR (Studi Kasus Jalan Desa Cibingbin, Kecamatan Cibaliung, Kabupaten Pandeglang)
Authors: Kusuma Rama Indera , Mina Enden , Fathonah Woelandari , Gilbran Althaf Machammad Wally , Fajarwati Yuli 
Published: July 2022

ABSTRACTThe condition of the road in Cibingbin village, Cibaliung sub-district, Pandeglang district, was used as the main soil sample in this test. This study aims to determine the effect of Sengon Wood (Paraserianthes Falcataria) Charcoal as a soil stabilizing agent that can increase the bearing capacity of the soil.This study uses 2 methods, the first is testing the physical properties of the soil, such as testing water content, specific gravity, sieve analysis, liquid limit and plastic limit and the second testing is soil mechanical testing including compaction, DCP, and CBR testing with curing for 3 days.From the results of the study, it was found that the original soil based on the USCS classification was included in the soil type of inorganic clay with high plasticity (CH), and the CBR test without soaking the original soil obtained a value of 4.8%, and by using Wood Charcoal added in the mixture. 4%,6%,8%,10% and 12%, the CBR values obtained are 9.83% ,13%, 20%, 19% and 17.5%. and the optimum wood charcoal mixture obtained was 19%. For curing for 3 days at a mixture of 4%, 6%, 8%, and 10%, the CBR values were 12%, 14.3%, 22% and 20%, and the optimum value was obtained in the 8% charcoal mixture. ABSTRAKKondisi jalan pada desa Cibingbin, Kecamatan Cibaliung, Kabupaten Pandeglang , dijadikan sebagai sampel utama tanah pada pengujian ini. Penelitian ini bertujuan untuk mengetahui pengaruh Arang Kayu berjenis Kayu Sengon sebagai bahan stabilisasi tanah yang bisa menaikan daya dukung tanah. Penelitian ini menggunakan 2 metode, yang pertama pengujian sifat fisik tanah, seperti pengujian kadar air, berat jenis, analisa saringan, batas cair dan batas plastis dan pengujian kedua yaitu pengujian mekanis tanah meliputi pemadatan, DCP, dan pengujian CBR dengan pemeraman selama 3 hari. Dari hasil penelitian didapatkan tanah asli berdasarkan klasifikasi USCS termasuk dalam tanah berjenis tanah lempung tak organik dengan plastisitas tinggi (CH), dan pada pengujian CBR tanpa rendaman pada tanah asli didapat nilai sebesar 4,8% ,dan dengan menggunakan bahan tambah Arang Kayu pada campuran 4%,6%,8%,10% dan 12%, didapatkan nilai CBR sebesar 9,83% ,13%, 20%, 19% dan 17,5%. dan campuran arang kayu optimum yang didapat sebesar 19%,Untuk pemeraman selama 3 hari pada campuran 4%,6%,8%,dan 10% , didapatkan nilai CBR sebesar 12%,14,3%, 22% dan 20%, dan didapatkan nilai optimum pada campuran arang 8%.
Improving Clinical and Family Communication for Adult Child Caregivers of a Parent With a Blood Cancer: Single-Arm Pre-Post Pilot Intervention
Authors: Bylund Carma L , Wollney Easton N , Campbell-Salome Gemme , Applebaum Allison J , Paige Samantha R , DeGruccio Kennan , Weiss Elisa , Sae-Hau Maria , Arnold Jason , Durante Domenic , Amin Tithi B , Hampton Chelsea N , Fisher Carla L 
Published: July 2022

Background
Adult child caregivers of parents with cancer may face challenges when communicating with the patient and other family members, communicating during clinical interactions, and navigating web-based information seeking.

Objective
We developed and pilot-tested the Healthy Communication Practice program for adult child caregivers of parents with a blood cancer, which aims to help participants learn and implement communication skills central to caregiving. We assessed the feasibility and acceptability of the training.

Methods
Eligible participants completed a preprogram survey. We assessed the feasibility of participants completing the intervention in the allotted time. Participants had 2 weeks to complete the 2-part, 90-minute online program and completed a postprogram survey that included program evaluation items and the Acceptability of Intervention Measure (AIM) using a 1-5 rating scale (5=strongly agree).

Results
Of 50 caregivers who initially expressed interest, 34 consented, and 30 completed the program and both surveys (88% completion rate). Caregivers had a mean age of 45.07 (SD 11.96) years and provided care for parents who had a mean age of 73.31 (SD 9.38) years. Caregivers were primarily daughters (n=22, 73%). Overall, scores on the AIM scale were high (mean 4.48, SD 0.67). Specifically, caregivers felt the content met their communication needs (mean 4.58, SD 0.62) and their own needs as a caregiver of a parent with a blood cancer (mean 4.39, SD 0.72).

Conclusions
We demonstrated the feasibility and acceptability of the Healthy Communication Practice program, which aims to enhance family and clinical communication skills among caregivers of a parent with a blood cancer. Future studies will examine the efficacy of the program and its impact on both caregiver and patient communication and health outcomes.