bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement in depressive symptoms in a patient with severe and enduring anorexia nervosa and comorbid major depressive disorder using psychotherapy-assisted IV ketamine : a case report
Authors: Timek Amanda , Daniels-Brady Catherine , Ferrando Stephen 
Published: June 2024

Abstract
Background
Anorexia nervosa is a life-threatening psychiatric illness with a high mortality rate and limited treatment options. This illness is frequently comorbid with major depressive disorder, leading to additional obstacles in patient quality of life, and increasing the mortality rate further due to risk of suicide. Ketamine, a competitive N-methyl-D-aspartate receptor antagonist, has been shown to be beneficial in depression given its effects on neuroplasticity. There are few cases in the literature describing ketamine use in patients with eating disorders, and even fewer that describe psychotherapy-assisted ketamine use in this patient population. We present the case of a 33-year-old woman with a history of severe and enduring anorexia nervosa and comorbid major depressive disorder who we treated safely with ketamine-assisted psychotherapy using intravenous ketamine in a general hospital setting.

Case presentation
Our patient is a 33-year-old woman with past psychiatric history of severe and enduring anorexia nervosa and major depressive disorder with comorbid psychiatric and medical conditions who presented to the hospital due to malnutrition. She had an extensive psychiatric history as well as multiple medical hospitalizations due to her eating disorder. She had tried numerous psychiatric treatments, including antidepressants, mood stabilizers, antipsychotics, electroconvulsive therapy, and multiple types of therapies without significant improvement in symptoms. She agreed to try ketamine for treatment-resistant depression and received it intravenously for seven sessions in a closely monitored setting, and simultaneously engaged in acceptance and commitment therapy during sessions. She demonstrated increased cognitive flexibility, disappearance of suicidal ideation, and reduction in Beck Depression Inventory Scores.

Conclusions
Our case is unique in that it demonstrates the successful usage of ketamine-assisted psychotherapy in a hospital setting with severe and enduring anorexia nervosa and comorbid major depressive disorder. Her body mass index was profoundly low at 13, whereas the lowest documented in the literature was 16.9. This case shows that ketamine-assisted psychotherapy may be a promising treatment modality for patients with anorexia nervosa with co-morbid depression who have failed other interventions.
Comprehensive multiomics analysis reveals distinct differences between pediatric choroid plexus papilloma and carcinoma
Authors: Choi Yeonsong , Choi Seung Ah , Koh Eun Jung , Yun Ilsun , Park Suhyun , Jeon Sungwon , Kim Yeonkyung , Park Sangbeen , Woo Donggeon , Phi Ji Hoon , Park Sung-Hye , Kim Dong-Seok , Kim Se Hoon , Choi Jung Won , Lee Ji Won , Jung Tae-Young , Bhak Jong , Lee Semin , Kim Seung-Ki 
Published: June 2024

AbstractChoroid plexus tumors (CPTs) are intraventricular tumors derived from the choroid plexus epithelium and occur frequently in children. The aim of this study was to investigate the genomic and epigenomic characteristics of CPT and identify the differences between choroid plexus papilloma (CPP) and choroid plexus carcinoma (CPC). We conducted multiomics analyses of 20 CPT patients including CPP and CPC. Multiomics analysis included whole-genome sequencing, whole-transcriptome sequencing, and methylation sequencing. Mutually exclusive TP53 and EPHA7 point mutations, coupled with the amplification of chromosome 1, were exclusively identified in CPC. In contrast, amplification of chromosome 9 was specific to CPP. Differential gene expression analysis uncovered a significant overexpression of genes related to cell cycle regulation and epithelial-mesenchymal transition pathways in CPC compared to CPP. Overexpression of genes associated with tumor metastasis and progression was observed in the CPC subgroup with leptomeningeal dissemination. Furthermore, methylation profiling unveiled hypomethylation in major repeat regions, including long interspersed nuclear elements, short interspersed nuclear elements, long terminal repeats, and retrotransposons in CPC compared to CPP, implying that the loss of epigenetic silencing of transposable elements may play a role in tumorigenesis of CPC. Finally, the differential expression of AK1, regulated by both genomic and epigenomic factors, emerged as a potential contributing factor to the histological difference of CPP against CPC. Our results suggest pronounced genomic and epigenomic disparities between CPP and CPC, providing insights into the pathogenesis of CPT at the molecular level.
The role of moisture and salt distribution in the weathering of the medieval cave town of Uplistsikhe, Georgia
Authors: Sass Oliver , Heil Stefanie 
Published: June 2024

Abstract
Knowledge of salt and moisture distribution is a key factor for understanding rock decay at cultural heritage sites. The cave town of Uplistsikhe in Georgia, carved from sandstone in late bronze age to medieval times, suffers from progressive scaling and flaking processes. Multi-method investigations of rock moisture and salt distribution were carried out in order to better understand the patterns of decay. Salt distribution was investigated using drill dust samples and paper pulp poultices; moisture was determined by 2D-resistivity and handheld microwave sensors, supplemented by infrared thermography. The combined results from the different methods revealed a complex pattern of salt and moisture distribution. At most sites, K2SO4 (arcanite) and its hydrates dominate, sometimes in combination with CaSO4 (gypsum). At one site (Grandhall), halite (NaCl) and niter (KNO3) prevail. Sulphates are assumed to be a legacy of air pollution; origin of halite and niter remains unsolved but might be due to concrete reinforcements. Two main sources of moisture were evidenced depending on season and spatial situation: (1) Condensation of air humidity at cool cave backwalls in spring (combined with and aided by salt hygroscopicity), evidenced by 2D-resistivity and infrared thermography; (2) seepage along joints particularly at the cave backwalls and roofs, evidenced by handheld microwave sensors. Further investigations should focus on identifying seepage pathways and on clarifying the origin of destructive halite and nitrates.
Mapping and assessment of karst landscape aesthetic value from a world heritage perspective: a case study of the Huangguoshu Scenic area
Authors: Zhang Meng , Xiong Kangning , Zhao Xi , Lyu Xiaoxi 
Published: June 2024

Abstract
Aesthetic value is an essential component of outstanding universal value (OUV) for natural world heritage (NWH) site. However, comparisons of aesthetic value lack a set of effective evaluation systems. In the identification of aesthetic value, there is subjectivity and difficulty in quantifying the methodology suggested by the IUCN in the operation manual, and it is difficult to compare in different NWH sites. This study focused on establishing a universal system to map and assess the aesthetic value of karst NWH sites. The research focused on three dimensions: naturalness, diversity, and uniqueness. The final combination of the three is achieved by geographic information system (GIS)-based spatial map overlay analysis with multisource data. To verify the rationality of the model, the aesthetic value of a case study in the Huangguoshu Scenic Area in China at the WH nominated site was evaluated. The results revealed that the areas with low, relatively low, medium, relatively high, and high values accounted for 12.2%, 20.2%, 32.4%, 21.4% and 13.8%, respectively. The distribution of aesthetic value is basically consistent with the boundary division of the NWH site, and high scores are mostly distributed in areas with high protection levels. Moreover, the impacts of naturalness, uniqueness and diversity on aesthetic value in the research area are in decreasing order. Furthermore, the research analyses the aesthetic characteristics and causes at different levels. The research area combines the quintessential nature of karst, hills and water, caves, fenglin and historic villages; it unifies sturdiness, peculiarity, precipitousness, and peace. Among the 7 nominated NWH sites, the Huangguoshu Waterfall has the highest aesthetic value, while those of Tiantaishan Ancient Temple and Getuhe are relatively low. The rationality of the evaluation system for extracting areas with high aesthetic value was demonstrated. This study compensates for the limitation of the inability of existing studies to quantify the aesthetic value. This approach fills a previous gap in the research on the aesthetic value of WH and can provide a useful reference for better protection and management decisions.
Repair of a right coronary artery rupture with perforated right ventricle following spontaneous pseudoaneurysm: a case report
Authors: Furui Masato , Matsumura Hitoshi , Hayashida Yoshio , Kuwahara Go , Shimizu Masayuki , Morita Yuichi , Matsuoka Yuta , Ito Chihaya , Hayama Masato , Wakamatsu Kayo , Wada Hideichi 
Published: June 2024

Abstract
Background
Following the rupture of a coronary artery, a patient’s condition usually deteriorates rapidly due to cardiac tamponade. A pseudoaneurysm due to a coronary artery rupture is rare; however, when a spontaneous coronary artery pseudoaneurysm occurs without tamponade, it creates a fistula in the right ventricle, often requiring surgical repair.

Case presentation
This report describes the case of a 68-year-old man who presented with chest discomfort after a 12-day course of antibiotic treatment for bacteremia. Following coronary angiography, echocardiography, and enhanced computed tomography, he was diagnosed with a right coronary artery pseudoaneurysm accompanied with perforation of the right ventricle. Severe adhesions were observed during emergency surgery surrounding the entire heart. The patient presented with risk factors for coronary artery disease, including hypertension and smoking history. His coronary artery was severely calcified due to end-stage renal failure requiring dialysis; thus, a covered stent could not fit inside the arterial lumen. Consequently, coronary artery bypass grafting to the right coronary artery and right ventricle repair were performed. Unfortunately, the patient died postoperatively due to sepsis from intestinal translocation. This rare development was hypothesized to be an incidental result of the combination of severe post-inflammatory adhesions, extensive coronary artery calcification, and rupture of the calcification crevices.

Conclusions
In the case of a severe post-inflammatory response, shock without cardiac tamponade may require further scrutiny by assuming the possibility of inward rupture. For patients in poor condition, two-stage surgical treatment might be considered after stabilization with a covered stent.
Second-degree atrioventricular block induced by electrical stimulation of transcranial motor-evoked potential: a case report
Authors: Murakami Toru , Tanaka Satoshi , Tanaka Ryusuke , Ito Mariko , Ishida Takashi , Kawamata Mikito 
Published: June 2024

Abstract
Background
Although several complications of transcranial motor-evoked potentials (Tc-MEPs) have been reported, reports of arrhythmias during Tc-MEP are very rare.

Case presentation
A 71-year-old woman underwent transforaminal lumbar interbody fusion under general anesthesia, with intraoperative Tc-MEP monitoring. Preoperative electrocardiography showed an incomplete right bundle branch block but no cardiovascular events in her life. After induction of anesthesia, Tc-MEP was recorded prior to the surgery. During the Tc-MEP monitoring, electrocardiography and arterial blood pressure showed a second-degree atrioventricular block, but it improved rapidly at the end of the stimulation, and the patient was hemodynamically stable. Tc-MEP was recorded seven times during surgery; the incidence of P waves without QRS complexes was significantly higher than before stimulation. The surgery was uneventful, and she was discharged eight days postoperatively without complications.

Conclusions
Our case suggests that electrical stimulation for Tc-MEP can cause arrhythmia. Electrocardiography and blood pressure must be closely monitored during Tc-MEP monitoring.
Correlation analysis of energy consumption, carbon emissions and economic growth
Authors: Wang Xiaofei 
Published: June 2024

AbstractIn today's highly advanced industrialised and modernised world, China's economy is still growing, and its demand for energy is increasing daily. It is crucial to examine the connection between energy consumption, carbon emissions, and economic growth in order to promote economic growth based on energy conservation and emission reduction. Using Dezhou City in Shandong Province as an example, the study builds a VAR model of carbon emission, energy consumption, and economic growth in Dezhou City based on simplified macroeconomic sub-models, energy sub-models, and environmental sub-models. It then determines the correlation and influence mechanism between the three using tests like ADF unit root and Granger causality. The pertinent elements affecting Dezhou's carbon emissions were then investigated using grey correlation analysis. Finally, based on the study's findings, policy suggestions are made regarding energy use, carbon emissions, and economic expansion. It is necessary not only to restrain high-energy consumption industries and fundamentally optimize the energy consumption structure, but also to find new economic growth points and improve economic growth channels, so as to optimize the industrial structure. In this process, increasing the proportion of the tertiary industry is a key measure. In addition, the government needs to advocate the citizens to adopt a low-carbon lifestyle, and the concept of low-carbon environmental protection will be deeply rooted in the hearts of the people. This study will provide suggestions and theoretical guidance for China's energy consumption and carbon emissions, and help achieve high-quality growth of China and even the world economy.
Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis
Authors: Lai Tin , Farid Farnaz , Bello Abubakar , Sabrina Fariza 
Published: June 2024

AbstractThe Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no human intervention. IoT enables data aggregation and analysis on a large scale to improve life quality in many domains. In particular, data collected by IoT contain a tremendous amount of information for anomaly detection. The heterogeneous nature of IoT is both a challenge and an opportunity for cybersecurity. Traditional approaches in cybersecurity monitoring often require different kinds of data pre-processing and handling for various data types, which might be problematic for datasets that contain heterogeneous features. However, heterogeneous types of network devices can often capture a more diverse set of signals than a single type of device readings, which is particularly useful for anomaly detection. In this paper, we present a comprehensive study on using ensemble machine learning methods for enhancing IoT cybersecurity via anomaly detection. Rather than using one single machine learning model, ensemble learning combines the predictive power from multiple models, enhancing their predictive accuracy in heterogeneous datasets rather than using one single machine learning model. We propose a unified framework with ensemble learning that utilises Bayesian hyperparameter optimisation to adapt to a network environment that contains multiple IoT sensor readings. Experimentally, we illustrate their high predictive power when compared to traditional methods.
Parallel processing model for low-dose computed tomography image denoising
Authors: Yao Libing , Wang Jiping , Wu Zhongyi , Du Qiang , Yang Xiaodong , Li Ming , Zheng Jian 
Published: June 2024

AbstractLow-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise and artifacts, negatively impacting the radiologists’ ability to accurately diagnose. To address this issue, many studies have focused on denoising LDCT images using deep learning (DL) methods. However, these DL-based denoising methods have been hindered by the highly variable feature distribution of LDCT data from different imaging sources, which adversely affects the performance of current denoising models. In this study, we propose a parallel processing model, the multi-encoder deep feature transformation network (MDFTN), which is designed to enhance the performance of LDCT imaging for multisource data. Unlike traditional network structures, which rely on continual learning to process multitask data, the approach can simultaneously handle LDCT images within a unified framework from various imaging sources. The proposed MDFTN consists of multiple encoders and decoders along with a deep feature transformation module (DFTM). During forward propagation in network training, each encoder extracts diverse features from its respective data source in parallel and the DFTM compresses these features into a shared feature space. Subsequently, each decoder performs an inverse operation for multisource loss estimation. Through collaborative training, the proposed MDFTN leverages the complementary advantages of multisource data distribution to enhance its adaptability and generalization. Numerous experiments were conducted on two public datasets and one local dataset, which demonstrated that the proposed network model can simultaneously process multisource data while effectively suppressing noise and preserving fine structures. The source code is available at https://github.com/123456789ey/MDFTN.
A phase I/IIa of [212Pb]VMT01 targeted a-particle therapy for unresectable or metastatic melanoma.
Authors: Morris Zachary Scott , Puhlmann Markus , Johnson Frances , Hanna Alaa , Cho Steve Y. 
Published: June 2024

TPS9610 Background: Melanoma is an aggressive skin cancer with potential to metastasize early in disease development. Unresectable and metastatic melanoma accounts for 12% of cases and, despite recent advances in treatment, 5-year overall survival for this disease remains low at 35%. The melanocortin 1 receptor (MC1R) is highly expressed in melanoma with low expression in normal tissues and is therefore a target for radiopharmaceutical therapy. We developed [212Pb]VMT01, a MC1R-targeting peptide conjugated to a lead-specific chelator. Targeted therapy with 212Pb has the potential to be efficacious due to the high relative biological effectiveness of α-particles emitted upon its decay. The short physical half-life of 212Pb (10.6 h) and fast tumor targeting and clearance properties of [212Pb]VMT01 can achieve highly efficient delivery of α-particles to MC1R-expressing cancers while sparing healthy tissues. We hypothesize that [212Pb]VMT01 can be safely administered to patients with metastatic or unresectable melanoma and can enable disease control. Methods: This is an open-label, multi-center, dose-escalation/dose expansion, phase I/IIa clinical trial evaluating the safety, tolerability, pharmacokinetics, and efficacy of [212Pb]VMT01 (NCT05655312). Phase I of the trial follows a mTPI-2 design. The first two cohorts incorporate dosimetry, where participants receive up to 925 MBq or 278 MBq of the therapeutic surrogate [203Pb]VMT01 or [68Ga]VMT02, respectively, prior to receiving treatment cycles. In these participants, SPECT/CT or PET/CT imaging is obtained up to 24 hours post-injection. Up to 3 treatment cycles of [212Pb]VMT01, co-administered with renal protective amino acids, are given 8 weeks apart, with a dose-limiting toxicity observation period of 6 weeks. The cohort 1 dose was 111 MBq, while the ongoing cohort 2 utilizes 185 MBq. Eligibility criteria include MC1R+ disease as determined by SPECT or PET, melanoma stage III or IV and progressive disease by RECIST 1.1. Study participants must have progressed on at least one prior SOC therapy. As part of the study, CT and/or MRI, and FDG PET are acquired at baseline, during, and at the end of treatment. Safety is assessed weekly during cycle 1 and bi-weekly for subsequent cycles. The total in-trial follow-up period is 18 months following final administration of drug. Efficacy is assessed by RECIST 1.1 criteria. The primary objectives are evaluation of the safety of [212Pb]VMT01, determination of the maximum tolerated or maximum feasible dose, and determination of the anti-tumor efficacy of [212Pb]. All primary, secondary, and exploratory objectives’ data will be collected for all participants. An interim futility evaluation may be performed after ~10 participants in the dose escalation phase for participants who have completed their first post-treatment response assessment. The trial is open for recruitment. Clinical trial information: NCT05655312 .
Direct Trade Sourcing Strategies for Specialty Coffee
Authors: Webster Scott , Kazaz Burak , Gheibi Shahryar 
Published: June 2024

Problem definition: Leading specialty coffee roasters rely on direct trade to source premium coffee beans. We examine a roaster who sells two basic types of roasts: (1) a single-origin roast sourced from a specific locale and (2) a blend roast that uses a mix of beans from sources that vary over the course of a year. The prices of blend roasts are lower than those of single-origin roasts and appeal to a larger market. We study how characteristics of the operating and market environment affect the optimal sourcing strategy for single-origin beans. Methodology/results: We develop a two-stage stochastic program with recourse that reflects these characteristics. A roaster has the option to allocate some of the single-origin beans for sale under a blend label, known as downward substitution. We identify three distinct optimal sourcing strategies—specialized (no downward substitution), diversified (consistent downward substitution), and mixed (between these extremes)—and show that they are robust under different definitions of yield and demand. Managerial implications: We identify four main insights: (1) Two factors determine which strategy is optimal: the mean price of the inferior product (blend label) and the marginal cost of the superior product (single-origin label). (2) When compared with the newsvendor model, we find distinct structural differences across strategies. For example, whereas the effects of increasing uncertainty on optimal quantity align with the newsvendor model under a mixed strategy, the effects are distinctly different under specialized and diversified strategies (e.g., monotonic decreasing behavior for specialized, no change in quantity under diversified). (3) The weighted average price of an agricultural product is decreasing in negative yield–price correlation. We coin this as the “farmer’s curse,” which carries lessons for direct trade sourcing (e.g., advocating against paying the grower at postharvest market prices). (4) We find evidence of a virtuous feedback loop wherein the grower–roaster relationship becomes stronger over time. Our findings also point to a simple signal that policymakers may use to identify coffee growing locales where targeted interventions can improve grower welfare. Funding: B. Kazaz is thankful for summer support provided by the Whitman School of Management, Syracuse University. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0586 .