bluuebunny/crossref_metadata_2025_split huggingface dataset:
Soil Temperature, Environment, and Moisture Monitoring Network - A low-cost sensing network for Alabama
Authors: Perlaky Nick , Ellenburg W. Lee , Nair Udaysankar , Klein Nick , Solomon Michael B. 
Published: June 2024

Abstract

In order to bolster drought assessment and forecasting capabilities in Alabama, The University of Alabama in Huntsville has developed a network of rapidly-deployable, low-cost soil moisture, temperature, and environment monitoring stations (STEMMNet). This network provides near-real-time transmission of in-situ sensed, high temporal resolution soil data, offering an extension beyond climatological analysis into operational use. Stations are manufactured using commercially available, inexpensive hardware and use low-cost sensors which demonstrated comparable accuracy when evaluated against an existing research-grade soil moisture network. Months of testing in a variety of environments allowed for several system optimizations, yielding a robust network with a high uptime. Collaborations with outside agencies including Alabama Forestry and select National Weather Service offices proved the versatility and need for this network. This study aims to outline the design process, data flow, lab and comparative performance analysis, network design, and outcomes of STEMMNet. Overall, the network has performed well and demonstrates the ability to obtain high quality soil data from a low-cost, minimal footprint, rapidly-deployable station.
Primary prophylaxis with G-CSF for patients with non-round cell soft tissue sarcomas: a systematic review for the Clinical Practice Guidelines for the Use of G-CSF 2022 of the Japan Society of Clinical Oncology
Authors: Hirose Takeshi , Ito Mamoru , Tsuchihashi Kenji , Ozaki Yukinori , Nishio Hiroshi , Ichihara Eiki , Miura Yuji , Yano Shingo , Maruyama Dai , Yoshinami Tetsuhiro , Susumu Nobuyuki , Takekuma Munetaka , Motohashi Takashi , Baba Eishi , Ochi Nobuaki , Kubo Toshio , Uchino Keita , Kimura Takahiro , Kamiyama Yutaro , Nakao Shinji , Tamura Shinobu , Nishimoto Hitomi , Kato Yasuhisa , Sato Atsushi , Takano Toshimi , Endo Makoto 
Published: June 2024

Abstract

Background: Granulocyte colony-stimulating factor(G-CSF) is an essential supportive agent for chemotherapy-induced severe myelosuppression. We proposed two clinical questions (CQ): CQ #1, “Does primary prophylaxis with G-CSF benefit chemotherapy for non-round cell soft tissue sarcoma (NRC-STS)?” and CQ #2, “Does G-CSF-based intensified chemotherapy improve NRC-STS treatment outcomes?” for the Clinical Practice Guidelines for the Use of G-CSF 2022 of the Japan Society of Clinical Oncology.
Methods: A literature search was performed on the primary prophylactic use of G-CSF for NRC-STSs. Two reviewers assessed the extracted papers and analyzed overall survival, incidence of febrile neutropenia, infection-related mortality, quality of life, and pain.
Results: Eighty-one and 154 articles were extracted from the literature search for CQs #1 and #2, respectively. After the first and second screening, one and two articles were included in the final evaluation, respectively. Only some studies have addressed these two clinical questions through a literature review.
Conclusions: The clinical questions were converted to future research questions because of insufficient available data. The statements were proposed: "The benefit of primary G-CSF prophylaxis is not clear in NRC-STS" and “The benefit of intensified chemotherapy with primary G-CSF prophylaxis is not clear in NRC-STSs.” G-CSF is often administered as primary prophylaxis when chemotherapy with severe myelosuppression is administered. However, its effectiveness and safety are yet to be scientifically proven.
Exploiting of pipazethate HCL as a plant activator targeting a salicylic acid pathway in rice for blast fungus Pyricularia oryzae resistance
Authors: Salman Elgaly K. , Ghoniem Kamal E. , Badr Elsayedalaa S. , Arafa Ramadan A. , Das Kallol , Emeran Amero A. 
Published: June 2024

Abstract

Globally, blast disease in rice is one of the most important challenges limiting affected on rice crop productivity. Systemic acquired resistance (SAR) has been broadly investigated in a variety of plant species for enhancing inner resistance to various phytopathogens. The present study aimed to investigate the potential impact of pipazethate HCL as a substance of SAR against Pyricularia oryzae in rice. The obtained results showed that pipazethate HCL has no effectiveness of P. oryzae on liner growth with various concentrations in vitro. However, it significantly improved the level of resistance to rice blast fungus under greenhouse conditions with low and high concentrations under greenhouse conditions. Furthermore, pipazethate HCL, salicylic acid, and tricyclazole 75% are significantly decreasing the number of spores produced on infected rice lesions. Additionally, pipazethate HCL activates some salicylic acid (SA) signaling pathway indicators such as OsWRKY45 and OsNPR1, but jasmonic acid (JA) pathways such as AOS2, JAMYB, and PBZ1 (OsPR10) are not clear. The results suggested that pipazethate HCL is a salicylic acid analog against blast disease in rice inducing SAR that might be interrelated with the defense pathways of SA.
Enhancing Patient-Specific Quality Assurance in Carbon-Ion Radiation Therapy: A Novel Method for Recalculating Delivered Dose Distribution Using Log Data
Authors: Yun Yongdo , Han Min Cheol , Kim Changhwan , Hong Chae-Seon , Kim Dong Wook , Lee Ho , Kim Hojin , Han Soorim , Souda Hikaru , Lee Sung Hyun , Miyasaka Yuya , Iwai Takeo , Kim Jin Sung 
Published: June 2024

Abstract

Log data from radiation treatment machines can play a crucial role in quality assurance by enabling the recalculation of the delivered dose distribution and identification of deviations in treatment delivery. This paper proposes a novel method for recalculating the delivered dose distribution in carbon-ion radiation therapy (CIRT) using log data. The proposed approach leverages existing functionality in commercial treatment planning systems, thus, eliminating the need for specialized in-house software for dose calculation and evaluation. The performed tests entail data generation from actual log files using the Digital Imaging and Communications in Medicine standard, biological dose calculations, and gamma evaluations. The log-based approach demonstrated notable advantages, including improved time efficiency and the ability to calculate three-dimensional biological doses. By recalculating the delivered dose distributions, our method improves quality assurance accuracy in CIRT. It complements conventional measurement-based patient-specific quality assurance (PSQA) methods, serving as a valuable addition to the arsenal of tools available for treatment evaluation. We believe that our method has the potential to enhance the efficacy of PSQA and contribute significantly to the advancement of CIRT, thereby reinforcing the ongoing evolution of particle therapy.
The Role of Early PSA Response After Abiraterone Treatment for Metastatic Castration Resistant Prostate Cancer
Authors: Yang Zhi-Hao , Liu Hui-Ying , Chang Yin-Lun , Wang Hung-Jen , Chuang Yao-Chi , Chen Yen-Ta , Shen Yuan-Chi , Liu Yi-Yang , Wu Yen-Ting , Luo Hao-Lun 
Published: June 2024

Abstract

Background
Novel hormone agents (NHAs), such as Abiraterone, offer an alternative treatment for metastatic castration-resistant prostate cancer (mCRPC) but often result in secondary resistance. Among prostate cancer biomarkers, prostate-specific antigen (PSA) is the most researched and correlates with survival outcomes. This study aims to assess the initial PSA response to Abiraterone in mCRPC patients and its impact on survival, using data from the Chang Gung Research Database across four tertiary referral centers in Taiwan.
Methods
This retrospective cohort study analyzed mCRPC patients who underwent abiraterone treatment from Chang Gung Research Database including the data of four major medical centers in Taiwan. The treatment involved 1000 mg of abiraterone daily and 5 mg of prednisolone twice daily over 90-day cycles, with regular monitoring of PSA levels and tumor assessments.
Results
This study examined 295 mCRPC patients undergoing abiraterone treatment, with a median follow-up of 54.7 months. Patients were divided into pre-chemotherapy (pre-chemo) and post-chemotherapy (post-chemo) groups, with median overall survival (OS) of 13.4 months and 25 months, respectively. Patients were further classified into PSA90 and non-PSA90 groups based on a 90% decrease in PSA levels. In the pre-chemo group, 14% achieved PSA90, which was associated with improved survival outcomes. In the post-chemo group, 44% reached PSA90, also correlating with better survival, fewer bone lesions, and less high-risk patients.
Conclusions
This study highlights the predictive value of a 90% decline in PSA levels within the initial three months of treatment for oncological outcomes in patients with mCRPC receiving abiraterone in chemotherapy-naïve patients and those who had previously received chemotherapy.
Machine Learning-Driven Strategies for Enhanced Pediatric Wheezing Detection
Authors: Moon Hye Jeong , Ji Hyunmin , Kim Baek Seung , Kim Beom Joon , Kim Kyunghoon 
Published: June 2024

Abstract

Background
Auscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models have been developed.
Methods
In this prospective study, we aimed to compare respiratory sound feature extraction methods to develop an optimal machine learning model for detecting wheezing in children. Pediatric pulmonologists recorded and verified 103 instances of wheezing and 184 other respiratory sounds in 76 children. Various methods were used for sound feature extraction, and dimensions were reduced using t-distributed Stochastic Neighbor Embedding (t-SNE). The performance of models in wheezing detection was evaluated using a kernel support vector machine (SVM).
Results
The duration of recordings in the wheezing and non-wheezing groups were 89.36 ± 39.51 ms and 63.09 ± 27.79 ms, respectively. The Mel-spectrogram, Mel-frequency Cepstral Coefficient (MFCC), and spectral contrast achieved the best expression of respiratory sounds and showed good performance in cluster classification. The SVM model using spectral contrast exhibited the best performance, with an accuracy, precision, recall, and F-1 score of 0.897, 0.800, 0.952, and 0.869, respectively.
Conclusion
Mel-spectrograms, MFCC, and spectral contrast are effective for characterizing respiratory sounds in children. A machine learning model using spectral contrast demonstrated high detection performance, indicating its potential utility in ensuring accurate diagnosis of pediatric respiratory diseases.
Investigating the eco-friendly extracts of Salvia pratensis L. for sustainable agricultural applications
Authors: Grulova Daniela , Baranová Beata , Eliašová Adriana , Brun Christelle , De Martino Laura , Caputo Lucia , Poračová Janka , Nastišin Ľuboš , Fejér Jozef , Elshafie Hazem , De Feo Vincenzo , Končná Mária 
Published: June 2024

Abstract

Salvia pratensis L. extracts boast a rich history in the food, cosmetic, and perfume industries. This study focuses on analyzing the chemical composition of S. pratensis, with emphasis on their phenolic, flavonoid, and rosmarinic acid content. Additionally, the research aims to assess the phytotoxic and antioxidant activities of S. pratensis extracts prepared using a 60 °C water bath and a Soxhlet extractor with different solvents: water, 10%, 30% and 70% alcoholic solutions. The highest dry mass was obtained for the water extract prepared in a water bath at 60 °C. The extraction method significantly impacted the quantity of phenols in the extracts. The extract prepared with 30% alcohol exhibited a notably higher concentration, with 148.4 mg/g DM (dry mass) of total phenols, compared to the aqueous extract which contained only 91.1 mg/g DM. The most evident DPPH• activity was noted in the 30% alcohol extract (DPPH• IC50 = 15.6 µg/mL DM), while the lowest activity was in the water extract (DPPH• IC50 = 37.1 µg/mL DM). The Soxhlet extract prepared with 10% ethanol demonstrated the highest efficacy in phytotoxic activity. In summary, S. pratensis appears to be a promising natural reservoir of secondary metabolites, suggesting potential herbicidal effects.
Sacral neuromodulation for Organophosphate-induced delayed neuropathy neurogenic lower urinary tract dysfunction: a case report
Authors: Han Junjie , Zhao Dingliang , Feng Shuqiang , Yang Xuesong , Wang Yinchun , Dong Zhenhua , Sun Zhao , Deng Ziyuan , Zhang Yi , Li Ranwei 
Published: June 2024

Abstract

Background: Organophosphate-Induced Delayed Neuropathy (OPIDN) is a rare neurological disorder triggered by exposure to organophosphorus compounds. These compounds exert their neurotoxic effects by impacting the nervous system, leading to systemic manifestations. Urinary system symptoms are infrequently observed in clinical settings. Currently, effective therapeutic interventions for OPIDN-related urinary symptoms are lacking. Sacral nerve modulation therapy, an FDA-approved approach for managing lower urinary tract symptomatology, presents as a promising way. Herein, we present a case of OPIDN-induced lower urinary tract obstruction successfully treated with sacral nerve modulation therapy, resulting in substantial symptom relief.
Case report: a 27-year-old male patient. He presented with severe bilateral hydronephrosis, attributed to low bladder compliance and accompanied by a fever persisting for 6 days. The patient's medical history revealed accidental ingestion of organophosphate pesticide (Dimethoate) with no concomitant underlying diseases. In consideration of the potential for OPIDN, surgical intervention in the form of sacral nerve I modulation was undertaken. Subsequent evaluation one month post-surgery revealed notable improvements in both bladder compliance and bilateral hydronephrosis, necessitating sacral nerve II surgery. Presently, following a 5-month follow-up period, the patient remains asymptomatic and in favorable health.
Conclusion: This patient achieved long-term relief using Sacral neuromodulation.
Transcatheter aortic valve replacement for severe aortic stenosis and left ventricular thrombus: A series of three cases
Authors: Wang Rui , Li Guang , Luo Jianfang , Dong Haojian 
Published: June 2024

Abstract

Background
The presence of left ventricular thrombus has long been regarded as a contraindication for transcatheter aortic valve replacement (TAVR) in patients with aortic valve stenosis (AS). However, these patients often present with compromised cardiac function and face significant surgical risks, making TAVR a last-resort option. Currently, there are limited reports of TAVR being performed in such cases.
Case presentation:
We present three cases of severe aortic valve stenosis, all of which occurred in patients with end-stage heart failure. Ultrasound assessments revealed a marked decrease in the left ventricular ejection fraction and the presence of left ventricular thrombi. The first patient underwent TAVR via carotid artery access with ECMO assistance, while the remaining two patients underwent conventional TAVR via femoral artery access. All procedures were successfully completed without postoperative thrombotic events. Subsequent follow-up demonstrated significant improvements in cardiac function compared to baseline, accompanied by a reduction or complete resolution of left ventricular thrombi.
Conclusions
We present a series of three successful TAVR procedures without embolic events, despite the presence of left ventricular thrombus. Concurrently, this is the first report of the use of the carotid artery route for the TAVR procedure in such patients.
Structural and Physicochemical Characters of Starch Isolated from Tubers of an Aquatic Plant Aponogeton natans using modern analytical tools
Authors: Dash Sujit , Sahoo Amaresh Chandra , Sahoo Prabhat Kumar , Sinhamahapatra Prabir Kumar , Banerjee Mrityunjay 
Published: June 2024

Abstract

Background: Aponogeton natans, an aquatic floating plant belonging to the family Aponogetonaceae, is endemic to India. Its tubers have been traditionally consumed by various tribal communities in India, either raw or after processing.
Materials and Methods: The starch was extracted from the tubers of Aponogeton natans, and its physicochemical properties were analyzed using UV-Vis spectrophotometry, scanning electron microscopy (SEM), zeta potential analysis, X-ray diffraction (XRD), and differential scanning calorimetry (DSC).
Results: The tubers of Aponogeton natans yielded 77.4% starch, of which 87.6% was amylose. SEM analysis revealed that the starch granules were spherical with a smooth surface. The zeta potential value indicated good colloidal stability. The XRD and DSC analyses confirmed the presence of B-type starch polymorphs.
Conclusion: Aponogeton natans could serve as an important dietary source of starch due to its high amylose content, which contributes to increased retrogradation and resistant starch formation. The study suggests potential applications of this starch in the food processing and pharmaceutical industries, owing to its unique properties.
Chatbot or Humanaut? How the Source of
Advice Impacts Behavior in One-shot Social
Dilemmas
Authors: Babin J. Jobu , Chauhan Haritima 
Published: June 2024

Abstract

This paper explores how the source of advice – human or generative AI (genAI)
– impacts behavior in three classic social dilemmas. Utilizing a novel experiment,
we show that, when it comes to prosociality, the source of advice matters. Players
preferred human advice over that from genAI and were more willing to pay for
it. Prosocial behavior was more prevalent when players received human advice,
increasing cooperation in stag hunts and driving contributions in public goods and
dictator games. Potential explanations include genAI’s empathy limitations and
potential moral wiggle room. Leveraging natural language processing advances
through large language models topic modeling, we demonstrate that the advice
corpora differ significantly. Human advice was more objective, specific, intuitive,
and norm-oriented; genAI offered reasoning and targeted concepts of risk. We
propose that the adoption of genAI technologies should include an investment in
human connectivity and organizational input with a goal of the constrained agency.
Triadic shared decision making in emergency psychiatry: an explorative study
Authors: Asperen G. C. Roselie van , Wierdsma A. I. , Winter R. F. P. , Mulder C. L. 
Published: June 2024

Abstract

Background
This study aims to understand the complex triadic shared decision-making process in psychiatric emergency services, focusing on the choice between inpatient and outpatient care post-triage. It also identify scenarios where patient or significant others’ preferences override clinical judgment.
Methods
Conducted in the greater Rotterdam area, Netherlands, this explorative study surveyed patient and significant others’ preferences for voluntary or involuntary admission versus outpatient treatment, alongside professionals' clinical indications. Descriptive statistics were used to profile participants, and preference data were used to categorize groups, revealing patterns of agreement.
Results
Among 5680 assessments involving significant others, four groups emerged: agreement among the triad on in- or outpatient care (48.2%), patient disagrees (38.5%), significant others disagree (11.0%), and professionals disagree (2.3%). Professionals' recommendations were followed more frequently (57.0%) than patient (9.4%) or significant others’ preferences (11.0%).
Conclusions
We observed that consensus could often be reached among the members of the triad on inpatient or outpatient care following triage. Disagreements typically occurred when patients preferred outpatient care while others favoured inpatient care, or when significant others advocated for inpatient care while others preferred outpatient care. While professionals' recommendations held the most influence, they could be overridden in cases where valid criteria mandated involuntary care.
Blunted ventral striatal reactivity to social reward is associated with more severe motivation and pleasure deficits in psychosis.
Authors: Blanchard Jack , Shackman Alexander , Smith Jason , Orth Ryan , Savage Christina , Didier Paige , McCarthy Julie , Bennett Melanie 
Published: June 2024

Abstract

Among individuals living with psychotic disorders, social impairment is common, debilitating, and challenging to treat. While the roots of this impairment are undoubtedly complex, converging lines of evidence suggest that social motivation and pleasure (MAP) deficits play a key role. Yet most neuroimaging studies have focused on monetary rewards, precluding decisive inferences. Here we leveraged parallel social and monetary incentive delay fMRI paradigms to test whether blunted reactivity to social incentives in the ventral striatum—a key component of the distributed neural circuit mediating appetitive motivation and hedonic pleasure—is associated with more severe MAP symptoms in a transdiagnostic sample enriched for psychosis. To maximize ecological validity and translational relevance, we capitalized on naturalistic audiovisual clips of an established social partner expressing positive feedback. Although both paradigms robustly engaged the ventral striatum, only reactivity to social incentives was associated with clinician-rated MAP deficits. This association remained significant when controlling for other symptoms, binary diagnostic status, or ventral striatum reactivity to monetary incentives. Follow-up analyses suggested that this association predominantly reflects diminished striatal activation during the receipt of social reward. These observations provide a neurobiologically grounded framework for conceptualizing the social-anhedonia symptoms and social impairments that characterize many individuals living with psychotic disorders and underscore the need to establish targeted intervention strategies.
Design of CMOS Low Noise and High Responsivity Terahertz Linear Array Detector
Authors: Xu Leijun , Ma Yujie , Huang Lei , Bai Xue , Chen Jianfeng 
Published: June 2024

Abstract

This paper presents the design of a low-noise, high-responsivity terahertz linear array detector circuit based on CMOS 0.18µm technology. We propose a 1×4 terahertz detector array structure composed of a self-mixing power detection circuit, voltage buffer stage, and low-noise operational amplifier. The self-mixing power detection circuit utilizes a source-coupled differential drive approach to couple terahertz differential signals to the gate and source of the field-effect transistor, enhancing the intensity of terahertz signals within the transistor channel and achieving high responsivity. The voltage buffer stage effectively collects output signals from the detection circuit and reduces noise contributions from the main operational amplifier, thereby lowering overall noise. The low-noise operational amplifier efficiently amplifies detection signals, thereby enhancing detector responsivity. The overall area of the 1×4 detector array is 0.8mm². Test results indicate that when the gate bias of the detector core is set to 0.5V, the detector system achieves a maximum voltage responsivity (RV) of 441 kV/W for a 0.37THz radiation signal, with a corresponding minimum noise equivalent power (NEP) of 48 pW/Hz1/2. Compared to single-pixel detectors, this detector array effectively enhances detection imaging speed, while compared to traditional detector arrays, it exhibits superior performance parameters.