bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wound myiasis resulting from a neglected insect bite wound
Authors: Suryabanshi Anil , Timilsina Binita , Khadka Namrata 
Published: January 2023

AbstractInfestation of maggots in humans is uncommon because humans are an accidental host for many dipterous larval species. We present a case of wound myiasis in a homeless person that resulted from a neglected minor insect bite wound.
Treatment of primary eosinophilic colitis using immunoglobulin/histamine complex
Authors: Kim Hyuk Soon , Noh Geunwoong 
Published: January 2023

AbstractPrimary eosinophilic colitis (PEC) is a primary eosinophilic gastrointestinal disorder, and immunoglobulin/histamine complex (IHC) may be an effective therapeutic for PEC. IHC has a nonallergen‐specific antinociceptive effect in the treatment of histamine‐mediated pain.
Galassi type III arachnoid cyst presenting as a migraine of weariness
Authors: Khizar Ahtesham , Shahzad Waleed , Yadav Pradhumna Kumar 
Published: January 2023

AbstractA 24‐year‐old right‐handed male presented with a 4‐month history of migraine of weariness. Typical accompanying symptoms with migraine like nausea, vomiting, photophobia and aura were not present. Non‐contrast CT brain revealed a left sided large frontotemporoparietal (Galassi Type III) arachnoid cyst. The patient underwent a cystoperitoneal shunt.
Total Syntheses of (+)‐Villocarine A, (−)‐Apogeissoschizine, and (+)‐Geissoschizine
Authors: Sakamoto Jukiya , Kitajima Mariko , Ishikawa Hayato 
Published: January 2023

AbstractTotal syntheses of geissoschizine‐type monoterpenoid indole alkaloids (MTIAs) are reported. An intramolecular Pictet‐Spengler cyclization was developed for the selective construction of the 3R stereocenter. The first total synthesis of (+)‐villocarine A was then achieved. Furthermore, the first total synthesis of the highly strained (−)‐apogeissoschizine was also accomplished in an aza‐Michael cyclization/E1cB elimination/stereoselective olefin isomerization sequence. Finally, (+)‐geissoschizine, a common biosynthetic intermediate of MTIAs, was obtained from apogeissoschizine through ring‐opening along with a release of ring strain.
A Practice‐Oriented Benchmark Strategy to Predict the UV‐Vis Spectra of Organic Photocatalysts**
Authors: Fehér Péter Pál , Madarász Ádám , Stirling András 
Published: January 2023

AbstractWith this work, we wish to facilitate further developments in photocatalysis by proposing reliable methods for the computational pre‐screening of potential photocatalysts. To this end, we have developed a new benchmark strategy, and we have applied it to evaluate the predictions given by two wavefunction and several density functional theory (DFT) methods for the UV‐vis absorption spectra of recently developed organic photocatalyst molecules. The novelty in our benchmark framework is that it focuses on evaluating the real‐world applicability of computational methods and does not penalize errors that do not contribute to spectral shapes. We employ a spectral fitting process where the calculated excitations are convoluted with Gaussians using two parameters for broadening and wavelength scaling. This way, most methods can sufficiently reproduce the experimental spectra, but they differ in how much adjustment they require from the parameters. Overall, the double hybrids (with the notable exception of DSD‐BLYP) are the best functionals that offer the highest predictive power as they require practically no scaling. They are exceptionally good in estimating the excitation energies with almost 90 % of the fitted spectra falling into the ±10 % scaling window. This is the same level of accuracy as provided by the STEOM‐DLPNO‐CCSD correlated wavefunction method. In terms of cost efficiency, M06 emerges as the best functional. It compensates a slightly less consistent performance with lower computational demand and availability in nearly all computational codes. Therefore, we recommend the use of double‐hybrid and M06 functionals for UV‐vis spectrum prediction of novel organic photocatalysts, and we also highlight that M06 can be used as a black‐box method even by those who are non‐experts in computational chemistry. The developed protocol and a user‐friendly notebook to assist the analysis are available on GitHub.
MOF‐Heterostructure‐Mediated pH‐Responsive Adsorptive Removal of Ciprofloxacin: A Step towards Pharmaceutical Wastewater Treatment
Authors: Bhattacharyya Puja , Sarma Liza , Taneja Akanksha , Parmar Prathu Raja , Jain Geetika , Bandyopadhyay Dipankar , Chakrabarti Sandip 
Published: January 2023

AbstractOne of the biggest challenges of the modern world is the antibiotic pollution in the water resources owing to the lack of effective removal techniques in the conventional wastewater treatment processes. Importantly, very few commercially available adsorbents are at the same time porous, magnetic, and have the capacity to bind and remove particular antibiotic classes from the slurries in a selective manner. Herein we report CNS@ZIF67 heterostructure derived adsorbent for the pH‐dependent removal of ciprofloxacin (CIP). The materials can be synthesized via a simple two‐step wet chemical method followed by annealing in a controlled atmosphere. The material demonstrates an attractive surface‐to‐mass ratio of 203.02 m2 g−1. We have performed a detailed time dependent adsorption study indicating a high removal efficiency of 96% within 2 h. Experimental adsorption data matches the Langmuir isotherm model and the kinetics follows pseudo‐second‐order reaction kinetics suggesting a chemisorption pathway of adsorption kinetics. The adsorbent has an interesting pH dependent adsorption behavior towards CIP. The adsorbent has also demonstrated its value in being reusable for four cycles of adsorption and desorption without significantly changing the removal efficiency.
Water wave optimized nonsubsampled shearlet transformation technique for multimodal medical image fusion
Authors: Amrita  , Joshi Shivani , Kumar Rajiv , Dwivedi Avinash , Rai Vipin , Chauhan Sansar Singh 
Published: January 2023

SummaryMedical image fusion has advanced to the point that it is now possible to combine multiple medical images for accurate disease diagnosis and treatment. The state‐of‐art techniques based on spatial and transform domains suffer from different limitations such as low fused image quality, spectral degradation, contrast reduction, low edge information preserving, lack of shift‐invariance, high computational complexity, classification accuracy, and sensitivity to noise. The main motivation of this work is to generate a single image with excellent visual clarity that retains the features of the source images. This article proposes a water wave optimized nonsubsampled shearlet transformation technique (NSST) for multimodal medical image fusion, in which the water wave optimization (WWO) algorithm is used to allocate the weights of the NSST approach's high‐frequency subbands. The NSST approach is primarily used in this work due to its ability to withstand shift‐invariance and its potential to improve the visual clarity of the fused multimodal image by preserving the essential features present in the image's various directions and edges. We combined the NSST technique with the WWO algorithm, which processes the edges, details, and contourlets of medical images using a max selection strategy based on the fitness function, to improve image quality and computational costs. The WWO algorithm is mainly applied to the NSST to minimize the L1 distance between the fused and the source images. Hence to overcome this problem a condition CNN optimized with a hybrid tunicate swarm memetic (TSM) algorithm is used to incorporate both the benefits offered by the condition CNN–TSM algorithm and NSST. The TSM optimized condition CNN architecture is used to preserve the coefficients of the image and improve the perceiving capability of the high‐frequency sub‐bands. An inverse NSST is used for fused frequency sub‐band integration. Finally, the efficiency of the proposed methodology is evaluated in terms of enhanced visual feature quality, edge detection, contour detection, and computational performance.
Uncovering Triradicaloid Structures in S1 Benzene Photochemistry**
Authors: Guerra Cristian , Ayarde‐Henríquez Leandro , Chamorro Eduardo , Ensuncho Adolfo 
Published: January 2023

AbstractTheoretical evidence concerning the multiradicaloid character in benzene photochemistry is reported based on a topological analysis of the correlated electron localization function. The bonding implications of triradicaloid conditions in both ground and excited states of S1 benzene are discussed within the bonding evolution theory. Our results suggest that triradicaloid/biradicaloid structures form due to the non‐bonding density concentration over C atoms, causing the distorted geometry near the S1/S0 crossing. Biradicaloid centers formed in the excited state trigger new CC bonds, leading to a variety of photoproducts.
Initiative of clinical single‐cell biomedicine in clinical and translational medicine
Authors: Liu Fangming , Liu Xuanqi , Powell Charles A. , Chen Chengshui , Zeng Yiming , Fang Hao , Wang Xiangdong 
Published: January 2023

BackgroundWith rapid developments of single‐cell sequencing and multi/trans‐omics, clinical single‐cell biomedicine is a new and emergent discipline to integrate single‐cell molecular and clinical phenomes and uncover new disease‐specific diagnosis and therapy.AimsThe journal of Clinical and Translational Medicine (CTM) launches the first CTM initiative of Clinical Single‐Cell Biomedicine (cscBioMed) to promote the discovery and development of single‐cell‐based biology and medicine, speed the translation from single‐cell biology into clinical application, and improve early diagnosis and therapy for human diseases.Materials & MethodsThe cscBioMed initiative is speeding translational processes from circulating single‐cell RNA sequencing (scRNA‐seq) into routine measures in clinical biochemistry of hematology, from spatial transcriptomics into single‐cell pathology, from single‐cell‐based biomarkers and targets into clinical diagnostics and target drugs.ConclusionWith a clear goal, we expect that cscBioMed will benefit the human health by establishing a clinical single‐cell dynamic monitoring and early predicting system and by improving diagnosis and treatment.
Energy efficient power allocation in MIMO relaying systems with the MRT precoding
Authors: Imani Nima , Sakhaei Gharagezlou Abdolrasoul , Nangir Mahdi 
Published: January 2023

SummaryMultiple‐input multiple‐output (MIMO) systems perform well from the energy efficiency (EE) and the spectral efficiency (SE) points of view in fifth generation (5G) communication systems. This paper considers the operation of a MIMO system with a relay. The optimization problem relates to the EE maximization. This problem has two types of limitations, which provide a maximum transmission power and a minimum data rate for users. The encountered objective function is in a fractional form and thus it is a non‐convex function. Besides, the problem is constrained. We utilize a lower bound analysis for the data rates, some properties of the linear programming, and the maximum ratio transmission (MRT) precoding scheme to obtain a convex objective function. Using the Lagrange dual function, we obliterate the constraints of the problem and then it is easy to solve. To improve system performance, users are divided into two groups based on their channel gains, and the maximum transmission power is reasonably divided between them. Two iterative algorithms are proposed to solve the optimization problem numerically, and finally we investigate performance of the proposed method.
Multi‐objective‐derived energy efficient routing in wireless sensor networks using hybrid African vultures‐cuckoo search optimization
Authors: Asha A , A Rajesh , Verma Neha , Poonguzhali I 
Published: January 2023

SummaryWireless Sensor Network (WSN) plays an essential role in consumer electronics, remote monitoring, an electromagnetic signal, and so forth. The functional capacity of WSN gets enhanced everyday with different technologies. The rapid development of wireless communication, as well as digital electronics, provides automatic sensor networks with low cost and power in various functions, but the challenge faced in WSN is to forward a huge amount of data between the nodes, which is a highly complex task to provide superior delay and energy loss. To overcome these issues, the development of a routing protocol is used for the optimal selection of multipath to perform efficient routing in WSN. This paper developed an energy‐efficient routing in WSNs utilizing the hybrid meta‐heuristic algorithm with the help of Hybrid African Vultures‐Cuckoo Search Optimization (HAV‐CSO). Here, the designed method is utilized for choosing the optimal cluster heads for progressing the routing. The developed HAV‐CSO method is used to enhance the network lifetime in WSN. Hence, the hybrid algorithm also helps select the cluster heads by solving the multi‐objective function in terms of distance, intra‐cluster distance, delay, inter‐cluster distance, throughput, path loss, energy, transmission load, temperature, and fault tolerance. The developed model achieved 7.8% higher than C‐SSA, 25.45% better than BSO‐MTLBO, 23.21% enhanced than AVOA, and 1.29% improved than CSO. The performance of the suggested model is validated, and the efficacy of the developed work is proved over other existing works.
Automated identification of unknown doping agents in confiscation samples by flow‐injection mass spectrometry and mass spectral library searches
Authors: Guan Fuyu , Fay Savannah , Adreance Matthew A. , McGoldrick Leif K. , Proctor Rachel M. , Missanelli Jaclyn R. , You Youwen , Robinson Mary A. 
Published: January 2023

AbstractRapid and accurate identification of unknown compounds within suspicious samples confiscated for sports doping control and law enforcement drug testing is critical, but such analyses are often conducted manually and can be time‐consuming. Here, we report a methodology for automated identification of unknown substances in confiscation samples by rapid automatic flow‐injection analysis on a liquid chromatography coupled to high‐resolution mass spectrometry system and identifying unknown compounds with Compound Discoverer software. The developed methodology was validated by comparing the automated identification results with those obtained from manual syringe‐infusion experiments and manual tandem mass spectral library searches. The automated methodology resulted in far higher throughput and remarkably shorter turnaround time for analysis when compared with manual procedures and, in most cases, yielded more compounds. As this is the first such report to the authors' knowledge, this methodology may potentially transform analysis of confiscated samples in sports doping control and law enforcement drug testing.
Risk of dialysis and renal diseases in patients with anorexia nervosa in Taiwan
Authors: Tseng Mei‐Chih Meg , Chien Li‐Nien , Tu Chao‐Ying , Zheng Cai‐Mei , Liu Hung‐Yi 
Published: January 2023

AbstractObjectiveTo investigate the incidence and risk of renal‐related complications in a nationwide cohort of Taiwanese patients with anorexia nervosa (AN).MethodThis longitudinal cohort study analyzed the data of 43,951 individuals—comprising 2091 patients with AN and their controls matched (1:20) using propensity scores according to sex, age, degree of urbanization of residence, socioeconomic status, and year of diagnosis—from a population‐based health insurance database; the study lasted 16 years. We used Kaplan–Meier curves to estimate the cumulative incidence of renal events. We also performed Cox proportional regression and constructed a risk model with death as a competing event (both adjusted for basic characteristics, renal diseases, and psychiatric comorbidities) to examine the risk of dialysis and renal outcomes in the AN group relative to the control group.ResultsIn total, 204 and 10 patients with AN had renal‐related outcomes and end‐stage renal disease (ESRD), respectively. The cumulative incidence rates of all renal outcomes and ESRD in the AN group were 10.72% and .64%, respectively, at 10‐year follow‐up. Compared with the control group, the AN group had a significantly higher risk of acute dialysis (adjusted hazard ratio 2.10 [95% confidence interval 1.19–3.68]), hypokalemia, hypovolemia, nephritis, acute renal failure, and chronic renal failure. The AN group did not have a significantly higher risk of ESRD.DiscussionThe elevated risks of acute dialysis and some renal outcomes in AN highlight the importance of monitoring electrolyte imbalance and renal malfunctioning.Public SignificanceMalnutrition and purging behaviors may cause renal complications in patients with AN. In this longitudinal cohort study, we found that the 10‐year cumulative incidence of all renal outcomes in AN was 10.72%, and that patients with AN had a two‐fold higher risk of overall renal outcomes compared with those without AN. Our findings imply that weight restoration and ceasing purging behaviors are crucial for recovery from AN.
No‐shows in T‐cell responses are frequent for clones of low T‐cell receptor affinity
Authors: van Gisbergen Klaas P.J.M. , Gerlach Carmen 
Published: January 2023

AbstractThe magnitude of CD8 T‐cell responses against intracellular pathogens is thought to primarily depend on the expansion capacity of naïve T cells, given that their recruitment is considered optimal. In the current issue of the European Journal of Immunology [Eur. J. Immunol. 2023. 53: 000‐000], Leube et al. challenge these concepts and show that the recruitment of naïve T‐cell clones into primary responses can be far from complete. The failure to efficiently recruit T‐cell clones occurs more frequently in case of low‐affinity interactions of the T‐cell receptor with cognate antigen of the pathogen. Using single‐cell fate‐mapping in the Lm‐OVA model, the authors demonstrate that naïve T‐cell clones of low affinity in contrast to those of high affinity often do not expand after pathogen encounter. These low‐affinity clones are maintained as naïve CD8 T cells that can robustly respond upon secondary encounter with the same pathogen, in particular when the reencountered pathogen contains modifications resulting in improved recognition. Thus, this study indicates that the regulation of the response size of CD8 T cells is yet more elaborate than anticipated and involves control at the level of recruitment and expansion of naïve CD8 T cells.
The selfBACK artificial intelligence‐based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress
Authors: Rughani Guy , Nilsen Tom I. L. , Wood Karen , Mair Frances S. , Hartvigsen Jan , Mork Paul J. , Nicholl Barbara I. 
Published: January 2023

AbstractBackgroundselfBACK provides individually tailored self‐management support for low back pain (LBP) via an artificial intelligence‐based smartphone app. We explore whether those with depressive/stress symptoms can benefit from this technology.MethodsSecondary analysis of the selfBACK randomized controlled trial (n = 461). Participants with LBP were randomized to usual care (n = 229), or usual care plus selfBACK (n = 232). Primary outcome: LBP‐related disability (Roland–Morris Disability Questionnaire, RMDQ) over 9 months. Secondary outcomes: global perceived effect (GPE)/pain self‐efficacy (PSEQ)/satisfaction/app engagement. Baseline depressive symptoms were measured using the patient health questionnaire (PHQ‐8) and stress with the perceived stress scale (PSS). Outcomes stratified by baseline PHQ‐8/PSS scores to assess associations across the whole cohort, and intervention versus control groups.ResultsParticipants with higher levels of depressive/stress symptoms reported more baseline LBP‐related disability (RMDQ 3.1; 1.6 points higher in most vs least depressed/stressed groups respectively); lower self‐efficacy (PSEQ 8.1; 4.6 points lower in most vs least depressive/stressed groups respectively). LBP‐related disability improved over time; relative risk of improvement in those with greatest depressive/stress symptoms versus nil symptom comparators at 9 months: 0.8 (95% CI: 0.6 to 1.0) and 0.8 (95% CI: 0.7 to 1.0) respectively. No evidence that different baseline levels of depressive/perceived stress symptoms are associated with different RMDQ/GPE/PSEQ outcomes. Whilst participants with higher PHQ‐8/PSS were less likely to be satisfied or engage with the app, there was no consistent association among PHQ‐8/PSS level, the intervention and outcomes.ConclusionsThe selfBACK app can improve outcomes even in those with high levels of depressive/stress symptoms and could be recommended for patients with LBP.SignificanceWe have demonstrated that an app supporting the self‐management of LBP is helpful, even in those with higher levels of baseline depression and stress symptoms. selfBACK offers an opportunity to support people with LBP and provides clinicians with an additional tool for their patients, even those with depression or high levels of stress. This highlights the potential for digital health interventions for chronic pain.
Electrochemical detection of asparaginase antibodies using bifunctionalized carbon interfaces
Authors: Marshall Daisy , Lehr Joshua 
Published: January 2023

AbstractThe early detection of anti‐asparaginase biomarker can facilitate timely modification of asparaginase chemotherapy, thereby avoiding serious complications. Herein we describe the preparation of a novel electrochemical biosensing interface for rapid detection of anti‐asparaginase in the picomolar range (1–10 000 pM). Coimmobilization of ferrocene and asparaginase on a carbon interface (via diazonium grafting) facilitates transduction through attenuation of the surface‐bound ferrocene redox couple. The limit of detection of 0.8 pM for this point‐of‐care applicable method compares favourably to that of traditional faradaic assaying (2.0 pM) where transduction occurs by the target blocking the diffusion of the solution redox probe [Fe(CN)6]3−/4−.
Potentiometric determination of mephedrone in oral fluids with ion‐selective membranes
Authors: Pospíšilová Eva , Paškanová Natálie , Kuchař Martin , Shishkanova Tatiana V. 
Published: January 2023

AbstractThis work presents a potentiometric approach for the detection of two cathinone derivatives, namely mephedrone (4‐MMC) and clephedrone (4‐CMC). Contrary to neutral‐carriers (dibenzo‐18‐crown‐6‐ether and calix[4]arene), cation‐exchanger (tetraphenylborate sodium) as active component of ion‐selective membrane showed near‐Nernstian response (+47 mV/decade from 1.7 ⋅ 10−6 to 5.6 ⋅ 10−4 mol l−1) and selectivity for 4‐MMC in oral fluids (OF). The agreement between the quantitative results obtained with the potentiometric approach and the HPLC/MS‐MS method determination of 4‐MMC in OF shows the potential of the proposed potentiometric approach for forensic analysis.