bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crystal structure of N-(4-bromobenzyl)-3-(difluoromethyl)-1-methyl-N-(pyridin-2-yl)-1H-pyrazole-4-carboxamide, C18H15BrF2N4O
Authors: Liu Ya-Li , Zhang Hua-Jin , Luo Juan , Chen Shang-Xing , Zhang Ji 
Published: January 2024

Abstract
C18H15BrF2N4O, monoclinic, C2/c (no. 15), a = 22.984(4) Å, b = 10.0726(16) Å, c = 16.551(3) Å, β = 107.972(2)°, V = 3644.8(10) Å3, Z = 8, Rgt
(F) = 0.0412, wRref
(F
2) = 0.1051, T = 296(2) K.
Modifying the valence phase transition in Eu2Al15Pt6 by the solid solutions Eu2Al15(Pt1−x

T

x
)6 (T = Pd, Ir, Au; x = 1/6)
Authors: Engel Stefan , Schumacher Lars , Janka Oliver 
Published: January 2024

Abstract
The solid solutions Eu2Al15(Pt1−x

T

x
)6 with T = Pd, Ir, Au and x = 1/6 were prepared by arc-melting the stoichiometric mixture of the elements, and subsequent annealing. For x = 1/6, all three solid solutions adopt the same structure type as Eu2Al15Pt6 according to powder X-ray diffraction data. Since the platinide Eu2Al15Pt6 exhibits a (3 + 1)D modulated structure (approximant in space group P121/m1), only the averaged hexagonal unit cell (P63/mmc, Sc0.6Fe2Si4.9 type) was refined by the Rietveld method. Scanning electron microscopy in combination with energy-dispersive X-ray spectroscopy (SEM/EDX) showed that the degree of substitution is in line with the weighed amounts. For values of x > 1/6, no phase-pure samples could be obtained. The results of the magnetic susceptibility measurements indicate that the isoelectronic substitution of Pd for Pt lowers the temperature of the first-order valence phase transition from T
trans = 45 K in Eu2Al15Pt6 to T
trans = 42 K in Eu2Al15(Pt5/6Pd1/6)6. For Eu2Al15(Pt5/6Ir1/6)6 and Eu2Al15(Pt5/6Au1/6)6 a change in the electronic situation occurs since the Ir substituted compound exhibits one electron less compared to the pristine Pt compound, while Eu2Al15(Pt5/6Au1/6)6 has one additional electron. As a consequence, Eu2Al15(Pt5/6Ir1/6)6 shows a higher valence phase transition temperature of T
trans = 52 K while for Eu2Al15(Pt5/6Au1/6)6 no such transition is obvious.
Interventions to Improve Long-Term Adherence to Physical Rehabilitation: A Systematic Review
Authors: Burke Colleen A. , Seidler Katie J. , Rethorn Zachary D. , Hoenig Helen , Allen Kelli , Tabriz Amir Alishahi , Norman Katherine , Murphy-McMillan Laura K. , Sharpe Jason , Joseph Letha M. , Dietch Jessica R. , Kosinski Andrzej S. , Cantrell Sarah , Gierisch Jennifer M. , Ear Belinda , Gordon Adelaide , Goldstein Karen M. 
Published: January 2024

Objective:
To evaluate the impact of physical rehabilitation interventions, supplemented with one or more adherence-enhancing components, on outcomes among adults with hip or knee osteoarthritis or chronic lower back pain.

Design:
Primary literature search from inception of each database to July 27, 2021, guided by relevant search terms and keywords to search titles and abstracts. All articles meeting eligibility criteria were included for data abstraction.

Data Sources:
MEDLINE, CINAHL Complete, and Embase.

Eligibility Criteria for Selecting Studies:
Randomized and nonrandomized trials evaluating adherence-focused intervention components conducted in addition to an index usual care or usual care–like physical rehabilitation program among adults with hip or knee osteoarthritis or chronic low back pain. Eligible studies included a comparator group of the same index physical rehabilitation intervention without the adjunctive adherence components. Included studies measured outcomes at least 3 months after the rehabilitation course.

Results:
Of the 10 studies meeting inclusion criteria, 6 interventions were delivered concurrent to an index rehabilitation program and 4 were delivered sequentially. Of the 3 studies that reported a positive effect on long-term adherence, only 1 was a low risk of bias study. There is very limited evidence of a beneficial treatment effect of adjunct adherence interventions on long-term physical function, self-efficacy, or adverse events.

Conclusion:
We found inadequate evidence evaluating adherence-enhancing interventions for the specific promotion of long-term adherence to home rehabilitation programs. Future studies should consider testing interventions specifically built to target behavioral maintenance of home rehabilitation programs.
Identification and Characterization of the DREB2C Drought-tolerant Gene in Peanut Cultivar L14 and Genetic Diversity Assessment of Some Peanut Cultivars based on SSR Markers Linked to Drought Tolerance
Authors: Tien Nguyen Quang Duc , Kha Hoang , Loc Nguyen Hoang 
Published: January 2024

Background: Peanut is a widely cultivated food crop of the legume family and is a major source of vegetable oil and protein in the global agricultural economy. However, the productivity of peanuts is severely affected by abiotic stress, particularly drought. Therefore, it is necessary to identify genes related to abiotic stress tolerance and analyze genetic diversity by SSR markers related to drought tolerance in peanut varieties. Methods: PCR amplification was used for the isolation of the DREB2C gene. The DREB2C gene sequence was analyzed using bioinformatic tools to identify functional domains, 3D modeling structures and other important characteristics. RT-qPCR was performed to evaluate the expression level of the DREB2C gene in the different tissues of peanut cultivars. A phylogenetic tree was constructed based on SSR markers linked to drought tolerance to assess the genetic diversity among peanut cultivars. Result: The present study identified the DREB2C gene in peanut cultivar L14. The gene encodes a polypeptide chain of 492 amino acids lacking transmembrane domains and signal peptides and with a conserved domain (AP2/ERF) and DNA binding site. The 3D protein structure was predicted with high confidence using various tools. The gene expression was investigated in different tissues and at different growth and developmental stages, as well as in various cultivars. Based on SSR markers linked to drought tolerance, the study revealed that peanut cultivars in Vietnam exhibit a medium level of diversity. It may be suggested that cross-breeding between different groups may increase variability among crops, allowing the generation of dominant varieties with improved drought tolerance.
Real Clinical Practice Register of Albuminuria Detection in Patients with Previously Undiagnosed Chronic Kidney Disease
Authors: Arutyunov A. G. , Batyushin M. M. , Arutyunov G. P. , Lopatin M. Yu. , Tarlovskaya E. I. , Chesnikova A. I. , Nedogoda S. V. , Galyavich A. S. , Tokmin D. S. , Batluk T. I. , Bashkinov R. A. , Gordeychuk E. D. , Melnikov E. S. , Semenova E. V. , Trubnikova M. A. 
Published: January 2024

Aim. To collect data on the patient phenotype at the highest risk of developing albuminuria, to assess the prevalence of albuminuria in the identified phenotypes, and to collect data on the characteristics, prescribed therapy, and comorbidities of patients with and without identified albuminuria.Materials and methods. Data on presence or absence of albuminuria are collected in this register of real clinical practice instantaneously. All patients seeking medical attention are screened for the presence and extent of albuminuria. All data are collected in anonymized form and entered into an electronic case report form. Inclusion criteria: 1) men and women aged 40 years and older at the time of data collection; 2) the possibility to perform an albuminuria test using dipsticks and/or a test for microalbuminuria or urine albumin/creatinine ratio in a spot urine sample. Exclusion criteria: 1) the patient’s reluctance to participate in the registry; 2) diagnosis of CKD made before screening for the registry; 3) diagnosis of diabetes mellitus type 1 or 2 made before screening for the registry; 4) pregnancy; 5) long distance running or very heavy physical activity in the last 24 hours.Results. At the time of submission of this material, the active phase of patient recruitment for the registry with the specified power has been ongoing. Based on the expected recruitment rate at 45–50 sites, the registry is expected to include data from 12,000–15,000 patients. If fewer than 12,000 patients are recruited and the estimated recruitment rate for the registry is insufficient, the number of study sites or the screening period may be extended.Conclusion. Despite the established prognostic significance of the data on AU, the test is prescribed in routine practice to individuals at risk of developing CKD or to patients with an established nephrological disorder. A local registry that combines diverse patient populations, namely patients not only from established CKD risk groups but also patients with a dipstick test for AU, is of scientific and practical interest and can be used in the development of national clinical guidelines and educational materials and used in clinical practice.
Breast Cancer Molecular Subtyping in Practice: A Real-World Study of the APIS Breast Cancer Subtyping Assay in a Consecutive Series of Breast Core Biopsies
Authors: Di Palma Silvana , Koliou Panagiotis , Simonovic Alex , Costa Daniela , Faulkes Catherine , Kobutungi Brenda , Paterson Felicity , Horsnell Jonathan David , Pakzad Farrokh , Irvine Tracey , Partlett Polly , Clayton Elizabeth , Collins Nadine 
Published: January 2024

The APIS Breast Cancer Subtyping Kit is an mRNA-based assessment of the three biomarkers routinely assessed in all newly diagnosed breast cancers (BC), estrogen receptor (ER), progesterone receptor (PR), and HER2 as well as an additional four genes that create a novel proliferation signature, MKI67, PCNA, CCNA2, KIF23. Taken together the data is used to produce a molecular sub-type for every sample.
The kit was evaluated against the current standard protocol of immunohistochemistry (IHC) and/or in situ hybridization (ISH) in breast cancer patients. The data was presented at the weekly breast Multidisciplinary Team (MDT) meeting. 98 consecutive cases of pre-operative breast cancer core biopsies and two core biopsy of nodal metastases yielding 100 cases were assessed.
IHC and APIS Results were available for 100 and 99 cases. ER was concordant in 97% cases, PR in 89% and HER2 results were concordant with IHC/ISH in 100% of the cases. Ki-67 IHC was discordant in 3% cases when compared with MK167 alone but discordant in 24% when compared with the four gene proliferation signature.
In conclusion, our study, indicates that the APIS Breast Cancer Subtyping Kit is highly concordant when compared to the results produced for ER/PR/HER2 by IHC and/or ISH. The assay could play a role in the routine assessment of newly diagnoses Breast Cancer (BC) specimens.
Pengembangan Media “Kanca” (Keseimbangan Angka Ceria) Berbasis Local Culture
Authors: Purwinda Afri , Sari Tita Tanjung , Kadarisman Kadarisman 
Published: January 2024

Media pembelajaran kreatif salah satunya adalah media “Kanca”. Media “Kanca” adalah media berhitung yang dapat digunakan pada siswa kelas 1. Penelitian ini bertujuan untuk: (1) mendeskripsikan pengembangan media “kanca” berbasis local culture (2) mengetahui respon guru dan siswa terhadap pengembangan media “kanca” berbasis local culture. Penelitian ini menggunakan metode penelitian ADDIE yang dikembangkan oleh Dick and Carry yang terdiri atas 5 tahap yaitu analyze, design, development, implementation, evuation. Kanca diujicobakan dalam uji coba terbatas dan uji coba lapangan kelas I sekolah dasar negeri Pojah II dan Paberasan I. Kelayakan produk didasarkan oleh ahli media, ahli materi, respon guru, respon siswa. Hasil penelitian menunjukkan: (1) media “kanca” dikembangkan dengan model pengembangan ADDIE, penilaian ahli media memperoleh persentase 98%, penilaian ahli materi memperoleh persentase 97,5% kriteria “Sangat Sesuai dan Tidak Revisi”, (2) penilaian respon siswa pada uji coba terbatas memperoleh persentase 92,5%, penilaian respon guru dan siswa pada uji coba lapangan memperoleh persentase 100% dan 93,6% kriteria “Sangat Baik”, media“ kanca” berbasis local culture dapat digunakan sebagai alternatif media pembelajaran matematika.
A Target-Aware Well Path Control Method Based on Transfer Reinforcement Learning
Authors: Dandan Zhu , Xu Qiuhan , Wang Fei , Chen Dong , Ye Zhihui , Zhou Hao , Zhang Ke 
Published: January 2024

Summary
In the actual construction process, well path control is a challenging task mainly due to the inevitable well deflection caused by geological factors, drilling tools as well as borehole enlargement. Most conventional well path control methods focus on elaborate mechanism model construction. The methods are typically constructed on the basis of certain constraints or assumptions, which reflect their limited ability to accurately capture the actual drilling process, low level of intelligence, poor anti-interference performance, and weak adaptive capacity. To address these challenges, this paper proposes a target-aware well path control method that integrates reinforcement learning and transfer learning. The proposed method employs a deep deterministic policy gradient model based on the prioritized experience replay mechanism and leverages transfer learning to accelerate model learning. This enables the construction of a target-aware well path adaptive control system with strong anti-interference capability. The proposed target-aware control method of well path based on reinforcement learning and transfer learning can accurately track the preset trajectory in diverse geological environments, reach the target area with high precision, and make reasonable trajectory optimization decisions with measurement while drilling (MWD) even when the target trajectory does not match the actual distribution of the reservoir. This approach exhibits excellent anti-interference and adaptive abilities.
CRISPR/Cas9 model of prostate cancer identifies Kmt2c deficiency as a metastatic driver by Odam/Cabs1 gene cluster expression
Authors: Thomsen Martin , Cai Huiqiang , Zhang Bin , Ahrenfeldt Johanne , Joseph Justin , Riedel Maria , Gao Zongliang , Christensen Ditte , Bak Rasmus , Hager Henrik , Vendelbo Mikkel , Gao Xin , Birkbak Nicolai , Thomsen Sofie 
Published: January 2024

Abstract
Prostate cancer (PCa) is the second leading cause of cancer-related deaths in men, and treatment options for metastatic disease remain limited. In this study, we employed Adeno-associated virus (AAV) delivery and CRISPR-Cas9 technology to simultaneously mutate multiple genes in the mouse prostate, in order to investigate positive genetic interactions during PCa progression. By targeting five potential tumor suppressor genes (Pten, Trp53, Rb1, Stk11, and RnaseL), we induced advanced prostate tumors in mice without metastasis, and mice reached humane endpoint at eight weeks. When three epigenetic factors (Kmt2c, Kmt2d, and Zbtb16) were further depleted, tumor progression remained identical, but metastases were observed in the lung of all mice. Whole genome sequencing of metastatic tumors revealed few genetic alterations, confirming that mutations in the targeted genes are sufficient to transform prostatic cells into metastatic cancer. Mechanistic analysis uncovered multiple altered pathways, including impaired p-Src/p-Lyn-cMyc signaling, underscoring the importance of cMyc signaling in PCa metastasis. RNA sequencing revealed a significant dysregulation of overall transcriptome and increased expression of numerous genes in a genomic region at chr5qE1, which is highly conserved to human chr4q13.3 and regulated by KMT2C. Intriguingly, the depletion of Odam and Cabs1 in this gene cluster dismissed metastasis formation, indicating that they have critical functions for secondary tumor formation, which has not been reported before. Further genetic analysis demonstrated that Kmt2c deficiency is sufficient to facilitate lung metastasis, identifying Kmt2c as an essential gatekeeper for metastatic formation. Interestingly, the gene expression signature from mutations of the three epigenetic regulators were predictive of progression-free and overall survival and able to distinguish primary and metastatic human prostate cancer. Overall, this study highlights the positive genetic interactions between classical tumor suppressor genes and epigenetic modulators in the progression and onset of metastatic disease, providing predictions and insights into possible treatments for metastatic PCa.
Characterization of the Fusarium circinatum biofilm environmental response role
Authors: Ratsoma Francinah M , Mokoena Nthabiseng Z , Santana Quentin C , Wingfield Brenda D , Steenkamp Emma T , Motaung Thabiso E 
Published: January 2024

Abstract

The capacity to form biofilms is a common trait among many microorganisms present on Earth. In this study, we demonstrate for the first time that the fatal pine pitch canker agent, Fusarium circinatum, can lead a biofilm-like lifestyle with aggregated hyphal bundles wrapped in extracellular matrix (ECM). Our research shows F. circinatum's ability to adapt to environmental changes by assuming a biofilm-like lifestyle. This was demonstrated by varying metabolic activities exhibited by the biofilms in response to factors like temperature and pH. Further analysis revealed that while planktonic cells produced small amounts of ECM per unit of the biomass, heat- and azole-exposed biofilms produced significantly more ECM than non-exposed biofilms, further demonstrating the adaptability of F. circinatum to changing environments. The increased synthesis of ECM triggered by these abiotic factors highlights the link between ECM production in biofilm and resistance to abiotic stress. This suggests that an ECM-mediated response may be a key survival strategy of F. circinatum biofilms in response to changing environments. Interestingly, azole exposure also led to biofilms that were resistant to DNase, which typically uncouples biofilms by penetrating the biofilm and degrading its extracellular DNA; we propose that DNases were likely hindered from reaching target cells by the ECM barricade. The interplay between antifungal treatment and DNase enzyme suggests a complex relationship between eDNA, ECM, and antifungal agents in F. circinatum biofilms. Therefore, our results show how a phytopathogen’s sessile (biofilm) lifestyle could influence its response to the surrounding environment.
Investigating the Impact of Substrate Defects on the Operational Performance of a Silicon-Substrate Bimorph Piezoelectric Energy Harvester
Authors: Jamshiddoust Asghar , Karamooz Morteza , Farrokhabadi Amin 
Published: January 2024

Abstract
Cracks are prevalent defects found in micro-electromechanical systems, influencing both the operational dynamics and performance of these structures. These cracks have the potential to alter the stiffness of the structure and impact various parameters such as resonance frequency, voltage, and output power. This transformation may eventually result in structural failure over a defined period. Hence, it is imperative to diagnose and detect structural cracks. In this study, we introduce a semi-analytical method to examine transverse cracks occurring within the mid-layer of a bimorph piezoelectric energy harvester. The investigation encompasses reductions in stiffness and variations in capacitance resulting from mid-layer transverse cracks. From a microscale perspective, we employ a stress transfer technique based on crack density to quantify stiffness reduction caused by mid-layer cracks. Analytical outcomes concerning the influence of cracks in the mid-layer of the bimorph are obtained using assumptions derived from the Euler-Bernoulli beam theory and substantiated through finite element analysis. The consequences of these imperfections on mechanical parameters such as resonance frequency, as well as electrical parameters like output electrical power, are deliberated upon. It is observed that the existence of cracks in the mid-layer of the bimorph piezoelectric energy harvester leads to a decline in its resonance frequency, accompanied by an increase in voltage and output power, indicative of impending device malfunction. This research facilitates the identification of defects in MEMS by monitoring the harvester's operational performance.
Graded changes in local functional connectivity of the cerebral cortex in young people with depression
Authors: Jamieson Alec , Davey Christopher , Pujol Jesus , Blanco-Hinojo Laura , Harrison Ben 
Published: January 2024

Abstract
Major depressive disorder (MDD) is marked by significant changes to the coupling of spontaneous neural activity within various brain regions. However, many methods for assessing this local connectivity use fixed or arbitrary neighborhood sizes, resulting in a decreased capacity to capture smooth changes to the spatial gradient of local correlations. A newly developed method sensitive to classical anatomo-functional boundaries, Iso-Distant Average Correlation (IDAC), was therefore used to examine depression associated alterations to the local functional connectivity of the brain. One-hundred and forty-five adolescents and young adults with MDD and 95 healthy controls underwent a resting-state fMRI scan. Whole-brain functional connectivity maps of intracortical neural activity within iso-distant local areas (5-10mm, 15-20mm, and 25-30mm) were generated to characterize local fMRI signal similarities. Across all spatial distances, MDD participants demonstrated greater local functional connectivity of the bilateral posterior hippocampus, retrosplenial cortex, dorsal insula, fusiform gyrus, and supplementary motor area. Additionally, in the short and medium range connections there were depression associated alterations in the midcingulate (15-20mm and 25-30mm) and subgenual anterior cingulate (15-20mm). Our study identified increased synchrony of the neural activity in several regions commonly implicated in the neurobiology of depression; however, a subset of identified effects was dependent on the spatial distance under consideration. Longitudinal examination of these effects will clarify whether these differences are also found in other age groups and if this synchrony is additionally altered by continued disease progression.
Good Statistical Monitoring: A Flexible Open-Source Tool to Detect Risks in Clinical Trials
Authors: Wu George , Childress Spencer , Wang Zhongkai , Roumaya Matt , Stern Colleen , Dickens Chelsea , Wildfire Jeremy 
Published: January 2024

Abstract

Background
Risk-based quality management is a regulatory-recommended approach to manage risk in a clinical trial. A key element of this strategy is to conduct risk-based monitoring to detect potential risks to critical data and processes earlier. However, there are limited publicly available tools to perform the analytics required for this purpose. Good Statistical Monitoring is a new open-source solution developed to help address this need.
Methods
A team of statisticians, data scientists, clinicians, data managers, clinical operations, regulatory, and quality compliance staff collaborated to design Good Statistical Monitoring, an R package, to flexibly and efficiently implement end-to-end analyses of key risks. The package currently supports the mapping of clinical trial data from a variety of formats, evaluation of 12 key risk indicators, interactive visualization of analysis results, and creation of standardized reports.
Results
The Good Statistical Monitoring package is freely available on GitHub and empowers clinical study teams to proactively monitor key risks. It employs a modular workflow to perform risk assessments that can be customized by replacing any workflow component with a study-specific alternative. Results can be exported to other clinical systems or can be viewed as an interactive report to facilitate follow-up risk mitigation. Rigorous testing and qualification are performed as part of each release to ensure package quality.
Conclusions
Good Statistical Monitoring is an open-source solution designed to enable clinical study teams to implement statistical monitoring of critical risks, as part of a comprehensive risk-based quality management strategy.