bluuebunny/crossref_metadata_2025_split huggingface dataset:
TUBERCULOSIS SURVEILLANCE SYSTEM EVALUATION IN BLITAR DISTRICT: STUDY OF SYSTEM APPROACH AND ATTRIBUTES
Authors: Florentji Adel Benu Friwanti , Atoillah Isfandiari Muhammad , Pramono Endro 
Published: February 2024

Background: Blitar district was in the last second position in East Java Province, achieving low Tuberculosis recovery and treatment of the national target by 2022. Therefore, it is necessary to support surveillance systems as a prerequisite for providing information as decision-making material. Purpose: to describe the quality of the tuberculosis surveillance system based on its approach and attributes. Methods: This research was an evaluation study design on the tuberculosis surveillance system in 2022. Respondents totaled 19 people. Data was collected by interview using a questionnaire and document study using a checklist. Data was analyzed by comparing the system approach and surveillance attributes to existing guidelines. The data was presented in tables and narratives. Results: Evaluation of tuberculosis surveillance systems based on input, process, and output was available by surveillance guidelines. Evaluation of the surveillance attributes showed that the flexible system has high data quality, high sensitivity, timeliness, and high stability. However, the system is not simple in operation, has low acceptability of the network, and has low positive predictive value because the suspect detection is too loose and not representative. Conclusion: The implementation of the tuberculosis surveillance system has largely been carried out well, supported by several complete surveillance attributes. It is necessary to provide standard operational procedures for recording and reporting, improve coordination with the network to manually and electronically report suspected tuberculosis, and optimize the Mantoux test in children.
The origin, inter-subspecies hybridization and adaptation of house mice (Mus musculus)
Authors: Huang Ling , Jing Meidong , Chen Yingjie , Yuan Wenbo , Song Ying , Bi Xiaoxin 
Published: February 2024

Abstract
The origin, inter-subspecies hybridization and genomic basis of adaptation of house mice (Mus musculus) were not well-resolved. Population genomic analyses with 349 samples from Eurasia confirmed the Pakistan-Himalaya-India junctional region as the origin centre. The divergence of Mus musculus domesticus, M. m. musculus and M. m. castaneus occurred during different interglacial stages beginning ~350 thousand years ago. Long-distance introgression from musculus into castaneus and from castaneus into musculus occurred in southern and northern China, respectively. Genomic introgression in hybrids from Europe and East Asia revealed that genomic differentiation, recombination rate, and biological functions of genes determined the introgression capability of distinct genomic regions. Unidirectional introgression of the Y chromosome made all wild mice in East Asia holding the musculus-type Y chromosome. Analyses on selective sweeps in the three subspecies elucidate the genomic basis of adaptation during spread. Our data provide novel insights into the origin and evolution of house mice.
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language Model
Authors: Soares Eduardo , Sharma Vidushi , Brazil Emilio Vital , Na Young-Hye , Cerqueira Renato 
Published: February 2024

Abstract

Recent progress in large transformers-based foundation models have demonstrated impressive capabilities in mastering complex chemical language representations. These models show promise in learning task-agnostic chemical language representations through a two-step process: pre-training on extensive unlabeled corpora and fine-tuning on specific downstream tasks. By utilizing self-supervised learning capabilities, foundation models have significantly reduced the reliance on labeled data and task-specific features, streamlining data acquisition and pushing the boundaries of chemical language representation. However, their practical implementation in further downstream tasks is still in its early stages and largely limited to sequencing problems. The proposed multimodal approach using MoLFormer, a chemical large language model, aims to demonstrate the capabilities of transformer based models to non-sequencing applications such as capturing design space of liquid formulations. Multimodal MoLFormer utilizes the extensive chemical information learned in pre-training from unlabeled corpora for predicting performance of battery electrolytes and showcases superior performance compared to state-of-the-art algorithms. The potential of foundation models in designing mixed material systems such as liquid formulations presents a groundbreaking opportunity to accelerate the discovery and optimization of new materials and formulations across various industries.
Characterization of phosphate modified red mud based composite materials and study on heavy metal adsorption
Authors: Jin Wenlou , Yang Yanzhi , Jin Jiacheng , Xu Mingchen , Zhang Zhipeng , Dong Fan , Shao Min , Wan Yushan 
Published: February 2024

Abstract

In this paper, Bayer red mud (RM) and lotus leaf powder (LL) were used as the main materials, and KH2PO4 was added to modify the material. Under the condition of high temperature carbonization, RMLL was prepared and phosphate modified red mud matrix composite (PRMLL) was prepared based on KH2PO4 modification, which can effectively remove Pb2+ from water. The optimum preparation and application conditions were obtained by orthogonal experiment: dosage 0.1g, ratio 1:1 and temperature 600℃. The effects of PH, dosage and initial concentration on the adsorption of Pb2+ were studied. The pseudo-first-order, pseudo-second-order and Elovich kinetic models were fitted to the experimental data, and it was found that RMLL and PRMLL were more consistent with the pseudo-second-order kinetic model and chemisorption. Langmuir, Freundlich, Timkin and Dubinin-Radushkevich isothermal adsorption models were used to fit the experimental data, and it was found that RMLL and PRMLL were more consistent with Langmuir model. In addition, the maximum adsorption capacity of RMLL and PRMLL was 188.1mg/g and 213.4mg/g respectively. Are larger than the adsorption capacity of their monomers. Therefore, the use of RMLL and PRMLL as the removal of Pb2+ from water is a potential application material.
Modulation of human induced neural stem cell-derived dopaminergic neurons by DREADD reveals therapeutic effects on a mouse model of Parkinson’s disease
Authors: Wang Xueyao , Han Deqiang , Zheng Tianqi , Chen Zhiguo 
Published: February 2024

Abstract

Background
Stem cell-based therapy is a promising strategy for treating Parkinson’s disease (PD) characterized by the loss of dopaminergic neurons. Recently, induced neural stem cell-derived dopaminergic precursor cells (iNSC-DAPs) have been emerged as a promising candidate for PD cell therapy because of a lower tumor-formation ability. Designer receptors exclusively activated by designer drugs (DREADDs) are useful tools for examining functional synaptic connections with host neurons.
Methods
DREADD knock-in human iNSCs to express excitatory hM3Dq and inhibitory hM4Di receptors were engineered by CRISPR. The knock-in iNSCs were differentiated into midbrain dopaminergic precursor cells (DAPs) and transplanted into PD mice. The various behavior test such as the Apomorphine-induced rotation test, Cylinder test, Rotarod test, and Open field test were assessed at 4, 8, or 12 weeks post-transplantation with or without the administration of CNO. Electrophysiology were performed to assess the integrated condition and modulatory function to host neurons.
Results
DREADD expressing iNSC was constructed with normal neural stem cell characteristics, proliferation ability, and differentiation potential into dopaminergic neuorns. DAPs derived from DREADD expressing iNSC showed matched function upon administration of clozapine N-oxide (CNO) in vitro. The results of electrophysiology and behavioral tests of transplanted PD mouse models revealed that the grafts established synaptic connections with downstream host neurons and exhibited excitatory or inhibitory modulation in response to CNO in vivo.
Conclusion
iNSC-DAPs are a promising candidate for cell replacement therapy for Parkinson’s disease. Remote DREADD-dependent activation of iNSC-DAP neurons significantly enhanced the beneficial effects on transplanted mice with Parkinson’s disease.
No impact of time from diagnosis to treatment on survival in newly diagnosed AML treated with venetoclax-based regimens
Authors: Baden David , Zukunft Sven , Hernández Gema , Wolgast Nadine , Steinhäuser Sophie , Pohlmann Alexander , Schliemann Christoph , Mikesch Jan-Henrik , Steffen Björn , Sauer Tim , Hanoun Maher , Schäfer-Eckart Kerstin , Krause Stefan , Hänel Mathias , Einsele Hermann , Jost Edgar , Brümmendorf Tim , Scholl Sebastian , Hochhaus Andreas , Neubauer Andreas , Burchert Andreas , Kaufmann Martin , Niemann Dirk , Schaich Markus , Blau Wolfgang , Kiani Alexander , Görner Martin , Kaiser Ulrich , Kullmer Johannes , Weber Thomas , Berdel Wolfgang , Ehninger Gerhard , Müller-Tidow Carsten , Platzbecker Uwe , Serve Hubert , Bornhauser Martin , Röllig Christoph , Baldus Claudia , Fransecky Lars 
Published: February 2024

Abstract

In newly diagnosed acute myeloid leukemia, immediate initiation of treatment is standard of care. However, deferral of antileukemic therapy may be indicated to assess comorbidities or pre-therapeutic risk factors. We explored the impact of time from diagnosis to treatment on outcomes in newly diagnosed acute myeloid leukemia undergoing venetoclax-based therapy in two distinct cohorts.
By querying the Study Alliance Leukemia database and the health network TriNetX, we identified 138 and 717 patients respectively with an average age of 76 and 72 years who received venetoclax-based first-line therapy. When comparing patients who started treatment earlier or later than 10 days after initial diagnosis, no significant difference in median overall survival was observed - neither in the SAL cohort (7.7 vs. 9.6 months, p=.42) nor in the TriNetX cohort (7.5 vs. 7.2 months, p=.41). Similarly, severe infections, bleeding, and thromboembolic events were equally observed between early and later treatments, both in the overall patient groups and specific subgroups (age ≥75 years or leukocytes ≥20/nl).
This retrospective analysis indicates that delaying the start of venetoclax-based therapy in newly diagnosed acute myeloid leukemia might be a safe option for selected patients, provided that close clinical monitoring is performed.
Study on Three-Dimensional Geological Sweet Spot Evaluation of Tight Sandstone Reservoirs Based on Well Logging Data
Authors: Xiao Hui , Zhang Lei , Liu Junchen , Xiang Jiuzhou , Wang Chunbing , Zhang Han 
Published: February 2024

Abstract
Tight sandstone oil and gas resources have emerged as a crucial element in the future energy landscape. The primary focus of geological evaluation for the development of tight sandstone reservoirs involves the comprehensive assessment and selection of oil layers with high potential, commonly referred to as 'sweet spots.' This study proposes a geological sweet spot evaluation model for tight sandstone reservoirs, which utilizes eight conventional well logging curve data as samples: crosswave time difference, compressional wave time difference, natural gamma, density, wellbore diameter, phase resistivity, amplitude resistivity, and average neutron porosity. The model applies factor analysis and normalization principles to quantitatively assess the vertical distribution of geological sweet spots within the reservoir. Validation of the model is conducted using exemplar wells. Additionally, the study integrates seismic data with well logging data and employs waveform indication simulation techniques to simulate the stratigraphic parameters of the reservoir. This approach facilitates the establishment of a three-dimensional geological sweet spot evaluation model, enabling the inversion of key parameters of geological sweet spots in the target stratum. Consequently, the model allows for a quantitative assessment of the lateral distribution of geological sweet spots in Block DF11-2.
Comparison of ex vivo periodontal defects with their respective 3D models generated by artificial intelligence on CBCT images
Authors: Gerhardt Maurício do Nascimento , Bittencourt Hélio Radke , Rockenbach Maria Ivete Bolzan 
Published: February 2024

Abstract
Objectives
To evaluate the correlation of measures of periodontal defects in 3D models segmented by an AI-driven tool with the actual defects in dry skulls and mandibles and to verify the influence of arch, presence of metal artifact (dental fillings/metal posts), type of defect and dental implant artifact on the measures.
Material and Methods
45 periodontal defects were measured with a digital caliper and periodontal probe in three human dried skulls and five mandibles. These skulls and mandibles were scanned with a Cone-Beam Computed Tomography (CBCT) device and their digital files followed automated segmentation by an AI-driven tool (Patient Creator, Relu BV, Leuven, Belgium). The same periodontal defects were measured on the digital model generated by the AI-tool. Correlations of the measuring methods were assessed by means of Intraclass Correlation Coefficient and the influence of arch, presence of artifact and type of defects on the differences were assessed by Student’s t-test.
Results
The intraclass correlations ranged from moderate to excellent values. None of the studied factors (arch, dental fillings/metal posts and type of defect) played a role on the differences between actual and digital defects (P > 0.05). Three-wall defects presented significant influence of dental implant artifact on the measures of height (P = 0.002).
Conclusions
3D models generated by the AI-driven tool presented periodontal defects with linear measures ranging from moderate to excellent correlations with the actual measures.
The effect of coach-athlete relationship on athlete burnout among college soccer players: The mediating role of training satisfaction
Authors: Liu Jiahao , Li Jing 
Published: February 2024

Abstract

Purpose: Athlete burnout is an essential adverse factor that usually decreases athletes’ sports performance and reduces their passion for entire athletic career development. The present study examined the association of coach-athlete relationship, training satisfaction, and athlete burnout, and then explored the training satisfaction as a mediating role of the effect of coach-athlete relationship on athlete burnout among college soccer players.
Methods: Two hundred and eighteen college soccer players who came from seven Chinese higher education institutions participated in this study. The Coach-Athlete Relationship Scale, Training Satisfaction Scale, and Athlete Burnout Questionnaire were used to measure the basic information of participants respectively. Pearson’s product-moment correlation analysis, linear regression analysis, and bootstrap method were conducted to analyze the collected data set.
Results: The results showed that 1) there was a significant correlation relationship between coach-athlete relationship, training satisfaction, and athlete burnout. 2) emotion, behavior, and cognition in coach-athlete relationship significantly negatively affected emotional/ physical exhaustion and sport devaluation in athlete burnout; emotion and behavior in coach-athlete relationship significantly negatively affected reduced athletic accomplishment in athlete burnout; emotion and behavior in coach-athlete relationship significantly positively affected training satisfaction; training satisfaction significantly negatively affected emotional/ physical exhaustion, reduced athletic accomplishment, and sport devaluation in athlete burnout. 3) training satisfaction has a significantly mediating effect on the relationship between coach-athlete relationship and athlete burnout.
Conclusion: Emotion and behavior in coach-athlete relationship can not only directly negative impact on athlete burnout but can also negatively influence athlete burnout through the mediating effect of training satisfaction. Therefore. We suggest that to mitigate athlete burnout, coaches should ensure timely communication with collegiate athletes during training, and collegiate athletes should incorporate mental training techniques into their routines.
Molecular, physiological and functional features underlying antipsychotic medication use related cortical thinning
Authors: Tuominen Lauri , Armio Reetta-Liina , Hansen Justine , Walta Maija , Koutsouleris Nikolaos , Laurikainen Heikki , Salokangas Raimo , Misic Bratislav , Hietala Jarmo 
Published: February 2024

Abstract
Use of antipsychotic medication is related to thinning of the cerebral cortex, but the underlying mechanisms of this effect remain largely unknown. Here, we investigated potential mechanisms across multiple levels of description, from molecular and physiological factors to whole-brain functional patterns. We first analyzed a single site discovery sample of patients (N=131) with early psychosis for whom antipsychotic related cortical thinning was estimated based on lifetime exposure to antipsychotics. Findings were replicated using data from a large (N≥2168) ENIGMA meta-analysis. We discovered that antipsychotic related cortical thinning is associated with a number of neurotransmitter systems, most notably the serotonin system, physiological measures, and functional networks and neural oscillatory power distributions typical for regions subserving higher cognition. At the functional level, antipsychotic related cortical thinning affects regions involved in executive function and motivation, but not perception. These results show how molecular, physiological, and large-scale functional patterns underlie antipsychotic related cortical thinning.
Recurrent spontaneous pneumothorax in a patient Wilson disease who is on long term D-penicillamine. Case report
Authors: Gunathilaka Nilanthi , LMH Bandara , Handagala S , WNS Kularatne 
Published: February 2024

Abstract
Background
Recurrent spontaneous pneumothoraces (PSP) in association with liver disease is well known to occur with alpha 1 antitrypsin deficiency (AATD). Wilson disease (WD) association to recurrent PSP is not a known entity.
Case presentation
A 42-year-old nonsmoker man with a history of recurrent PSP admitted with large right pneumothorax. Following intercostal chest drain (ICD) patient’s breathing improved and the lung expanded. Despite that, he continued to have a small residual pneumothorax (< 2cm). Twelve years ago, he was diagnosed to have WD. Patient was on treatment with D-penicillamine. After 3 years to the diagnosis of WD, patient had developed left sided recurrent PSPs where he ended up with left-pleurectomy in 2015. For the current event, initially expectant management was done for residual pneumothorax. All the possible causes for PSP were excluded. On follow up, he continued to be symptomatic. Thoracic surgical referral was arranged for Video-Assisted Thoracoscopic Surgery (VATS) and redo-pleurectomy. Safety of future treatment with D-penicillamine is not concluded as there is no convincing evidence to prove it as a culprit agent for PSPs. Multidisciplinary discussion arranged and consideration of treatment with alternative copper chelating therapy was emphasized.
Conclusions
Though rare, it is important to observe for occurrence of PSP in WD patients. This case report will be an eye opening for association of lung disease and WD and related treatment.
Research on Aerodynamic Drag Reduction of EMU Tail Car Bogie on Combined Suction and Blowing
Authors: Cui Hongjiang , Tang Huaiyu , Guan Ying , Wu Di 
Published: February 2024

Abstract
The flow field structure in the bogie region has an important impact on the aerodynamic drag of the EMU. In order to meet the lower aerodynamic drag requirements for further speed increases of EMU trains, this paper adopts numerical simulation method to study the active control drag reduction technology of suction and blowing air combined with bogie. The results indicate that the setting of suction and blowing air holes at the front and rear end plates of the tail bogie has only a drag reduction effect on the pressure drag in the aerodynamic drag of the bogie and tail car. With the change of suction and blowing air speeds, the drag reduction rate of the tail car reaches the optimal value of 3.82% at 0.05U, and the drag reduction rate of the bogie reaches the optimal value of 4.61% at 0.2U. The study on the combined suction and blowing air drag reduction method of the bogie has important significance in breaking through the limitations of traditional bogie aerodynamic drag reduction.
Identification of methylation markers for age and Bovine Respiratory Disease in dairy cattle
Authors: Psifidi Androniki , Attree Elizabeth , Griffiths Bethany , Panchal Ketankumar , Xia Dong , Werling Dirk , Banos Georgios , Oikonomou George 
Published: February 2024

Abstract

Methylation profiles of animals is known to differ by age and disease status. Bovine respiratory disease (BRD), a complex infectious disease, primarily affects calves and has significant impact on animal welfare and the cattle industry, predominantly from production losses. BRD susceptibility is multifactorial, influenced by both environmental and genetic factors. We investigated the epigenetic profile of BRD susceptibility in calves and age-related methylation differences between healthy calves and adult dairy cows using Reduced Representation Bisulfite Sequencing (RRBS).
We identified 3,452 genes within differentially methylated regions between calves and adults. Functional analysis revealed enrichment of developmental pathways including cell fate commitment and tissue morphogenesis. Between healthy and BRD affected calves, 964 genes were identified within differentially methylated regions. Immune and vasculature regulatory pathways were enriched and key candidates in BRD susceptibility involved in complement cascade regulation, vasoconstriction and respiratory cilia structure and function were identified.