bluuebunny/crossref_metadata_2025 huggingface dataset:
Tinjauan Hukum Islam terhadap Pinjaman Kredit Usaha Masyarakat di Unit BUMDes “Loh Jinawi” Desa Candipari Kecamatan Porong Kabupaten Sidoarjo
Authors: Faruq Muhammad Al , Masduqie Muhammad Hamdan Ali , Djalaluddin Ahmad Ahmad
Published: March 2024

Mu'amalah in the Islamic context requires fellow human beings to cooperate and relate to
each other to increase benefit and not cause harm to each other. The debt receivables
agreement is intended to help each other among fellow human beings, tosolvean problem
and facilitate the continuity of hislife. The purpose of this study is to analyze the borrowing
of community business loans in the BUMDes unit "Loh Jinawi" Candipari Village, Porong
District, Sidoarjo Regency based on a review of Islamic law. This research is a field research
(field research). The research used is qualitative research, where the author conducts
research by looking for direct data in the field to understand comprehensively how the
implementation of business credit loans in the community in the BUMDes unit "Loh
Jinawi" Candipari Village, Porong District, Sidoarjo District viewed from Islamic law.
The results of the research obtained by the researchers showed that the practice or
mechanism of community business credit loans in the BUMDes unit "Loh Jinawi"
candipari village, Porong district, Sidoarjo Regency, found that there was interest interest
charged to borrowers or debtors. So according to the clerics' adherents of madzhab imams,
if in a contract of debts there is an additional element or interest then the law is illegitimate.
Filosofi Kepemilikan Harta dalam Perspektif Hukum Islam
Authors: Mursid Fadillah , Janwari Yadi , Zulfikar Hafizd Jefik
Published: March 2024

Treasure is something that everyone wants. In this modern era, people's orientation about wealth has shifted from utilization to ownership. Ironically, nowadays everyone makes every effort to acquire wealth to fulfill their desires, without thinking about the rights of others, and the sustainability of natural resources. The focus and purpose of this research are to examine how the philosophy of property ownership in Islam realizes economic welfare and social harmony. This type of research is normative research using a philosophical approach. The philosophical approach is used as an auxiliary science to examine the object of research from a philosophical point of view, in order to obtain the meaning and nature, value and usefulness of the object of study being studied. The findings of this research are that Islam does not prohibit individual ownership, although the essence of property ownership belongs to God. Therefore, in obtaining property must be subject to the rules in Islam, and after owning property must be fair in terms of individual ownership, social ownership, and state ownership. This aims to realize economic welfare and social justice in society.
Living Economy: Relevansi Fatwa DSN-MUI tentang Online Shop dalam Etika Bisnis Seller E-commerce pada Aplikasi TikTok
Authors: Alfarisi Muhammad Adib , Suhedi Suhedi
Published: March 2024

This study discusses e-commerce business ethics that realize business continuity, but there are problems between buyers and sellers not meeting face to face which can harm consumers. Therefore, the importance of the trust of both parties is an absolute requirement in buying and selling online. This is implementing business ethics based on the provisions of Islamic law and the presence of maqashid sharia and the DSN-MUI Fatwa regarding online shops. This study aims to analyze the application of the DSN-MUI Fatwa regarding online shops that pay attention to TikTok e-commerce business ethics. This research method is a normative research using maqashid sharia theory by Wahbah Zuhaili. The results of the study, that the authors argue find the relevance of e-commerce that is aligned with the DSN-MUI Fatwa regarding online shops as Islamic legal rules that maintain trust in sellers and buyers in the continuity of business ethics, such as the findings of fathanah ethics (professional), amanah (trusted), shiddiq (honest), and tabligh (transparent). Thus, the implications of TikTok e-commerce contribute to maintaining the stability of the continuity of seller's business ethics for the people's economy.
Autonomous vehicle testing : a survey of commercial test sites and features
Authors: Webster Julie , Smith Emma , Stumpf Annette , Fuhler Megan
Published: March 2024

Connected and autonomous technologies are valuable to the Army because of their recognized potential to reduce the number of personnel exposed to threats in forward operations. The successful integration of such technologies has the potential to reduce Soldier deaths and injuries. Automation of routine tasks can also allow warfighters to focus their time on more strategic efforts. Furthermore, a reduction in manpower is expected to proportionally reduce energy use and material supply and resupply demands while bolstering resilience. To achieve these benefits, the reliability, safety, and utility of connected and autonomous systems must be successfully demonstrated in a variety of conditions before widespread adoption. Therefore, the Army needs a realistic testing environment to develop, test, and evaluate emerging technologies. This environment and its supporting infrastructure should provide a variety of terrain, functional areas, and power scenarios and should be able to demonstrate the viability of connected and autonomous technologies on an operational scale. The primary objective of this research was to survey US commercial facilities associated with autonomous vehicle development, testing, and evaluation.
Competitive Knowledge Transfer–Enhanced Surrogate-Assisted Search for Production Optimization
Authors: Cao Chenming , Xue Xiaoming , Zhang Kai , Song Linqi , Zhang Liming , Yan Xia , Yang Yongfei , Yao Jun , Zhou Wensheng , Liu Chen
Published: March 2024

Production optimization is a crucial component of closed-loop reservoir management, which typically aims to search for the best development scheme for maximum economic benefit. Over the decades, a large body of algorithms have been proposed to address production optimization problems, among which the surrogate-assisted evolutionary algorithm (SAEA) gained much research popularity due to its problem information-agnostic implementation and strong global search capability. However, existing production optimization methods often optimize individual tasks from scratch in an isolated manner, ignoring the available optimization experience hidden in previously optimized tasks. The incapability of transferring knowledge from possibly related tasks makes these algorithms always require a considerable number of simulation runs to obtain high-quality development schemes, which could be computationally prohibitive. To address this issue, this paper proposes a novel competitive knowledge transfer (CKT) method to leverage the knowledge from previously solved tasks toward enhanced production optimization performance. The proposed method consists of two parts: (1) similarity measurement that uses both reservoir features and optimization data for identifying the most promising previously solved task and (2) CKT that launches a competition between the development schemes of different tasks to decide whether to trigger the knowledge transfer. The efficacy of the proposed method is validated on a number of synthetic benchmark functions as well as two production optimization tasks. The experimental results demonstrate that the proposed method can significantly improve production optimization performance and achieve better optimization results when certain helpful previously optimized tasks are available.
Compositional Simulation for Carbon Storage in Porous Media Using an Electrolyte Association Equation of State
Authors: Xiong Wei , Zhang Lie-Hui , Zhao Yu-Long , Wen Shao-Mu , Bao Kai , Møyner Olav , Lie Knut-Andreas
Published: March 2024

We present a new algorithm based on automatic differentiation that enables precise computation of the derivatives of the Z-factor, facilitating the utilization of Newton’s method or coupling with a robust flow solver. Leveraging a free open-source code [MATLAB Reservoir Simulation Toolbox (MRST)], we develop an electrolyte cubic plus association (e-CPA) equation of state (EoS) model to accurately represent the injection of carbon dioxide (CO2) in brine. By integrating flow and thermodynamics, we construct an advanced compositional simulator using MRST’s object-oriented, automatic differentiation framework and the newly developed e-CPA EoS model. This simulator offers flexibility through both overall-composition and natural-variable formulations, achieved by selecting different primary variables. The Péneloux volume translation technique is employed to modify the EoS model’s volume, ensuring accurate density calculation for the mixture. Additionally, we introduce a viscosity model, e-CPA-FV, which accurately predicts the viscosity of carbon capture and storage (CCS) fluids, surpassing the accuracy of the traditional Lohrenz-Bray-Clark (LBC) model. Our simulator demonstrates superior performance in predicting CO2-brine systems compared with the standard formulation based on the Peng-Robinson (PR) EoS and can handle brine with various salts. The self-contained source code necessary to reproduce all examples is available on the open-access Zenodo digital repository (doi: 10.5281/zenodo.10691505).
Potential Moderators of the Effects of Blood Flow Restriction Training on Muscle Strength and Hypertrophy: A Meta-Analysis Based on a Comparison with High-Load Resistance Training
Authors: Geng Yu , Wu Xueping , Zhang Yong , Zhang Meng
Published: March 2024

Background Although, it has been examined whether there are similar magnitudes of muscle strength and hypertrophy adaptations between low-load resistance training combined with blood-flow restriction training (BFR-RT) and high-load resistance training (HL-RT), some important potential moderators (e.g., age, gender, upper and lower limbs, frequency and duration etc.) have yet to be analyzed further. Furthermore, training status, specificity of muscle strength tests (dynamic versus isometric or isokinetic) and specificity of muscle mass assessments (locations of muscle hypertrophy assessments) seem to exhibit different effects on the results of the analysis. The role of these influencing factors, therefore, remains to be elucidated. Objectives The aim of this meta-analysis was to compare the effects of BFR- versus HL-RT on muscle adaptations, when considering the influence of population characteristics (training status, gender and age), protocol characteristics (upper or lower limbs, duration and frequency) and test specificity. Methods Studies were searched through database based on the following inclusion criteria: (1) pre- and post-training assessment of muscular strength; (2) pre- and post-training assessment of muscular hypertrophy; (3) comparison of BFR-RT vs. HL-RT; (4) score ≥ 4 on PEDro scale; (5) means and standard deviations (or standard errors) are reported or allow estimation from graphs. In cases where the fifth criterion was not met, the data were requested directly from the authors. Results The main finding of the present study was that training status was an important influencing factor in the effects of BFR-RT. The trained individuals may gain greater muscle strength and hypertrophy with BFR-RT as compared to HL-RT. However, the results showed that the untrained individuals experienced similar muscle mass gains and superior muscle strength gains in with HL-RT compared to BFR-RT. Conclusion Compared to HL-RT, training status is an important factor influencing the effects of the BFR-RT, in which trained can obtain greater muscle strength and hypertrophy gains in BFR-RT, while untrained individuals can obtain greater strength gains and similar hypertrophy in HL-RT.
Preparation of Carbon nitride/Carbon dots/4A molecular sieve composite and evaluation of adsorption performance for Methylene Blue
Authors: Jia Bohan , Xia Tao , Zhao Long , He Junhui , Liu Dan , Bao Qiburi , Dong Zhen , Yang Miao
Published: March 2024

The discharge of dye wastewater poses significant hazards to the ecological environment and human health. In this paper, a new composite material carbon nitride/carbon dots/4A molecular sieve (C3N4/CDs/4A) was prepared by using urea, citric acid and 4A molecular sieve to remove dyes from wastewater. The material was characterized by SEM, FTIR and XRD tests to prove the successful preparation of C3N4/CDs/4A. Compared with 4A molecular sieve, the C3N4/CDs/4A had a larger specific surface area of 164.54 m2/g. The C3N4/CDs/4A had great adsorption performance for methylene blue (MB), with the adsorption capacity of up to 44.34 mg/g. Adsorption isotherm and kinetic studies showed that the adsorption of MB on C3N4/CDs/4A followed Langmuir isotherm (R2 = 0.999) and pseudo-second-order kinetic model (R2 = 1). In addition, the C3N4/CDs/4A maintained almost the same adsorption amount for MB in the pH range of 5–11 and was less affected by temperature. Furthermore, the excellent thermal regeneration performance of C3N4/CDs/4A laid a foundation for its industrial application. This study provided a new method for treating refractory dye wastewater.
Impact of Renal Impairment on the Pharmacokinetic Profile of Intravenous Difelikefalin, a Kappa Opioid Receptor Agonist for the Treatment of Pruritus
Authors: Spencer Robert H. , Noonan Patrick K. , Marbury Thomas , Menzaghi Frédérique
Published: March 2024

Background: Difelikefalin is a selective kappa opioid receptor agonist that is approved for the treatment of moderate-to-severe pruritus associated with chronic kidney disease in adults undergoing hemodialysis (HD). In this study, we assessed the pharmacokinetics (PK) of intravenous (IV) difelikefalin in healthy subjects, in non–dialysis-dependent (NDD) subjects with varying stages of kidney disease, and in subjects with end-stage renal disease (ESRD) undergoing HD.
Methods: The PK and safety of single IV doses of difelikefalin (3.0 mcg/kg) were initially evaluated in NDD subjects with mild, moderate, or severe renal impairment compared with matched healthy subjects. Based on those data, the PK and safety of 3 dose levels of IV difelikefalin (0.5, 1.0, or 2.5 mcg/kg) were compared with matched placebo in subjects undergoing HD with each dose administered following dialysis, 3 times over a 1-week treatment period).
Results: Single IV dosing of difelikefalin in NDD subjects (N=36) with mild renal impairment demonstrated comparable exposure to healthy subjects with normal renal function, while subjects with moderate or severe renal impairment had higher total exposure. NDD subjects with severe renal impairment had higher total exposure compared with those with moderate renal impairment (ie, exposure in severe NDD > moderate NDD > mild NDD ≈ healthy subjects). Clearance of difelikefalin correspondingly decreased with increasing renal impairment. In the multiple-dose study in subjects with ESRD undergoing HD (N=19), IV difelikefalin demonstrated dose proportionality and was shown to be mostly cleared by dialysis; steady state was achieved with the second dose on day 3. Safety findings for all subjects were consistent with the known profile of IV difelikefalin.
Conclusions: IV difelikefalin was well tolerated. Similar exposure was observed in NDD subjects with mild renal impairment compared with healthy subjects with normal renal function, with reduced clearance and higher exposure in NDD subjects with moderate or severe renal impairment. Dose proportionality was demonstrated in subjects with ESRD undergoing HD administered IV difelikefalin 3 times per week following dialysis and was shown to be mostly cleared by dialysis.
Trial registration: Single-dose study: NA; multiple-dose study: ClinicalTrials.gov registration number NCT02229929, first registration 03/09/2014
High-order brain interactions in ketamine during rest and task:
A double-blinded cross-over design using portable EEG
Authors: Ibanez Agustin , Herzog Ruben , Barbey Florentine , Islam Md Nurul , Rueda-Delgado Laura , Nolan Hugh , Prado Pavel , Krylova Marina , Javaheripour Nooshin , Danyeli Lena , Sen Zümrüt , Walter Martin , Odonnell Patricio , Buhl Derek , Murphy Brian , Izyurov Igor
Published: March 2024

Methods
In a double-blinded cross-over design, 30 adults (mean age = 25.57, SD = 3.74; all male) were administered racemic ketamine and compared against saline infusion as a control. Both task-driven (auditory oddball paradigm) and resting-state EEG were recorded. HOI were computed using advanced multivariate information theory tools, allowing us to quantify nonlinear statistical dependencies between all possible electrode combinations. Results: Ketamine increased redundancy in brain dynamics, most significantly in the alpha frequency band. Redundancy was more evident during the resting state, associated with a shift in conscious states towards more dissociative tendencies. Furthermore, in the task-driven context (auditory oddball), the impact of ketamine on redundancy was more significant for predictable (standard stimuli) compared to deviant ones. Finally, associations were observed between ketamine's HOI and experiences of derealization. Conclusions: Ketamine appears to increase redundancy and genuine HOI across metrics, suggesting these effects correlate with consciousness alterations towards dissociation. HOI represents an innovative method to combine all signal spatial interactions obtained from low-density dry EEG in drug interventions, as it is the only approach that exploits all possible combinations from different electrodes. This research emphasizes the potential of complexity measures coupled with portable EEG devices in monitoring shifts in consciousness, especially when paired with low-density configurations, paving the way for better understanding and monitoring of pharmacological-induced changes.
Neuropeptide QRFP decreased food intake in the lateral hypothalamus
Authors: Zagoracz Olga , Ollmann Tamas , Peczely Laszlo , Laszlo Kristof , Kovacs Anita , Berta Beata , Kallai Veronika , Kertes Erika , Voros David , Dusa Daniella , Szabo Adam , Lenard Laszlo
Published: March 2024

Severe eating disorders, such as obesity, bulimia, and anorexia keep increasing to epidemic proportions worldwide. Understanding of neuropeptides’ role in complex hunger/satiety mechanisms may allow new prospectives for treatment and prevention. Pyroglutamylated arginine-phenylalanine-amide peptides (QRFPs) are thought to enhance feeding following the central administration. In our study, QRFP-26 was delivered into the lateral hypothalamic area (LHA) of male Wistar rats by direct microinjections, as QRFP-26 expressing neurons and binding sights are densely present in this neural structure. The consumption of liquid food was measured over a 60-minute period. Both doses (100 and 200 ng) significantly decreased food intake. Neuropeptide Y1 receptor antagonist BIBP3226 eliminated the anorexigenic effect caused by QRFP-26 administration. QRFP-26 did not affect general locomotion, behavioral patterns examined in the Open-Field Test, or anxiety. This study is the first to report the anorexigenic action of QRFP-26 in the hypothalamus, emphasizing steady locomotion and anxiety levels. We have shown that the effect can be linked to the NPY Y1 receptor mechanism. Our observations also suggest the contribution of NPY system to the central regulation of stress and anxiety reactions.
Association between Maternal Perinatal Stress and Depression on Infant DNA Methylation in the First Year of Life
Authors: Abrishamcar Sarina , Zhuang Beryl , Thomas Mara , Gladish Nicole , MacIsaac Julia , Jones Meaghan , Simons Elinor , Moraes Theo , Mandhane Piush , Brook Jeffrey , Subbarao Padmaja , Turvey Stuart , Chen Edith , Miller Gregory , Kobor Michael , Huels Anke
Published: March 2024

Maternal stress and depression during pregnancy and the first year of the infant’s life affect a large percentage of mothers. Maternal stress and depression have been associated with adverse fetal and childhood outcomes as well as differential child DNA methylation (DNAm). However, the biological mechanisms connecting maternal stress and depression to poor health outcomes in children are still largely unknown. Here we aim to determine whether prenatal stress and depression are associated with changes in cord blood mononuclear cell DNAm (CBMC-DNAm) in newborns (n = 119) and whether postnatal stress and depression are associated with changes in peripheral blood mononuclear cell DNAm (PBMC-DNAm) in children of 12 months of age (n = 113) from the Canadian Healthy Infant Longitudinal Development (CHILD) cohort. Stress was measured using the 10-item Perceived Stress Scale (PSS) and depression was measured using the Center for Epidemiologic Studies Depression Questionnaire (CESD). Both stress and depression were measured at 18 weeks and 36 weeks of pregnancy and six months and 12 months postpartum. We conducted epigenome-wide association studies (EWAS) using robust linear regression followed by a sensitivity analysis in which we bias-adjusted for inflation and unmeasured confounding using the bacon and cate methods. To investigate the cumulative effect of maternal stress and depression, we created composite prenatal and postnatal adversity scores. We identified a significant association between prenatal stress and differential CBMC-DNAm at 8 CpG sites and between prenatal depression and differential CBMC-DNAm at 2 CpG sites. Additionally, we identified a significant association between postnatal stress and differential PBMC-DNAm at 8 CpG sites and between postnatal depression and differential PBMC-DNAm at 11 CpG sites. Using our composite scores, we further identified 2 CpG sites significantly associated with prenatal adversity and 7 CpG sites significantly associated with postnatal adversity. Several of the associated genes, including PLAGL1, HYMAI, BRD2, and ERC2 have been implicated in adverse fetal outcomes and neuropsychiatric disorders. This suggested that differential DNAm may play a role in the relationship between maternal mental health and child health.
Multidimensional Dynamic Data Analysis and Satisfaction Study of College Students' Educational Experience in Chongqing, China
Authors: Jin Ke , Chen Yanli
Published: March 2024

This study analyzes the factors that affect satisfaction by measuring the degree of satisfaction with online education among undergraduate and graduate students in colleges and universities in Southwest China. Establish a concept matrix through TAM and UTAUT theories. Through the analysis of information quality, system quality, service quality, perceived usefulness and perceived ease of use, the impact of self-efficacy on perceived usefulness and the impact of system quality on student satisfaction will be improved to improve the quality control and evaluation system for the construction of online open courses in colleges and universities, improve the quality and effectiveness of online education courses in colleges and universities.
New model for ultraslow-spreading ridges
Authors: Johansen Ståle Emil , Amundsen Hans , Arntsen Børge , Mittet Rune , Pedersen Ole , Panzner Martin , Omosanya Kamaldeen , Wang Shunguo
Published: March 2024

The oceanic crust formed at mid-ocean ridges constitutes seventy percent of the earth's solid surface 1–3. The crust in ocean basins is approximately seven km thick 4,5, but when the spreading rate drops below 15-20 mm/a (ultraslow-spreading), crustal thickness decreases rapidly 6,7. The paradigm view is that thickness depends on the spreading rate 6–8. However, current models for the ultraslow-spreading ridges are not based on direct imaging 9, and it is not well understood how tectonic processes, melt dynamics, 2,3,10,11, lithospheric structure, and crustal formation 12–15 interact along ridges 12–14,16,17. New electromagnetic (EM) data across the Mohns and Knipovich ridges show that, outside the volcanic centres, the lithosphere appears closed to melt migration, and instead of normal thinning, the lithosphere is unusually thick (35-45 km) beneath the ridges. Crustal thickness varies along the strike and is thinnest where the spreading rate is the highest, contrary to the prediction of conventional models6–8. In the new model, ambulatory volcanic centres, forming along weak zones, and fault-induced ultra-deep direct drainage of melt from the asthenosphere explain the EM data. Volcanic centres are point sources of melt supply and both centres, feeder channels and volcanism are episodic, relatively short-lived, and random in time and place. In this model with a thick and brittle lithosphere, the plate motions (rate and direction), local tectonics, lithology, weak zones, and deep faults associated with the deep drainage, control the development. Melt dynamics and crustal formation are passive buoyancy-driven responses to the tectonic development. The fact that the proposed ridge model is closely connected to fundamental tectonic processes support the idea that the model can also be applied to ultraslow-spreading ridges in general.
Integrating an AI Platform into Clinical IT: BPMN Processes for Clinical AI Model Development
Authors: Arshad Kfeel , Ardalan Saman , Schreiweis Björn , Bergh Björn
Published: March 2024

Background: There has been a resurgence of Artificial Intelligence (AI) on a global scale in recent times, resulting in the development of cutting-edge AI solutions within hospitals. However, this has also led to the creation of isolated AI solutions that are not integrated into clinical IT. To tackle this issue, a clinical Artificial Intelligence (AI) platform that handles the entire development cycle of clinical AI models and is integrated into clinical IT is required.
This research investigates the integration of a clinical AI platform into the clinical IT infrastructure. This is demonstrated by outlining the stages of the AI model development cycle within the clinical IT infrastructure, illustrating the interaction between different IT system landscapes within the hospital with BPMN diagrams.
Methods: Initially, a thorough analysis of the requirements is conducted to refine the necessary aspects of the clinical AI platform with consideration of the individual aspects of clinical IT. Subsequently, processes representing the entire development cycle of an AI model are identified. To facilitate the architecture of the AI platform, BPMN diagrams of all the identified processes are created. Clinical use cases are used to evaluate the processes using the FEDS framework.
Results: Our BPMN process diagrams cover the entire development cycle of a clinical AI model within the clinical IT. The processes involved are Data Selection, Data Annotation, On-site Training/Testing, and Inference, with distinctions between (Semi-Automated) Batch Inference and Real-Time Inference. Three clinical use cases were assessed to evaluate the processes and demonstrate that this approach covers a wide range of clinical AI use cases.
Conclusions: The evaluations were executed successfully, which indicate the comprehensive nature of our approach. The results have shown that different clinical AI use cases are covered by the BPMN diagrams. Our clinical AI platform is ideally suited for the local development of AI models within clinical IT. This approach provides a basis for further developments, e.g. enabling the training and deployment of an AI model across multiple sites or the integration of security- and privacy-related aspects.
Biplane reduction technique for restoring the length of the fibula in Maisonneuve fracture
Authors: Zhan Junfeng , Xie Yang , zhong qigang , Yang Hu , Huai Chaoyue , Yao yunfeng
Published: March 2024

Background
Fibular length is important for ankle stability; however, there is no unified and effective reduction method for fibular shortening in Maisonneuve fractures. This study aimed to investigate a biplane reduction technique for restoring fibular length in Maisonneuve fractures.
Methods
We retrospectively reviewed the data of patients with a preoperative diagnosis of Maisonneuve fractures between June 2019 and June 2022. All patients underwent a new biplane method to restore the length of the fibula. Operation time, hospital stay, complications, imaging parameters, and follow-up function scores were recorded. An independent sample t-test was used for component comparisons, and a paired sample t-test or one-way ANOVA was used for intra-group comparisons.
Results
Twelve patients were included in the study. The average age was 32.83 ± 11.46 years, including eight males and four females. No patients were lost to follow-up. The average follow-up time was 15.67 ± 2.84 months. No obvious postoperative complications were observed. In terms of imaging, there was no significant difference in the angle between the intersection of the anatomical axis of the tibia and the superior articular surface of the talus and the tip of the fibula (40.42 ± 0.43 °) than that of the healthy side (40.72 ± 0.57 °). At the last follow-up, the visual analog pain score and American Orthopedic Foot and Ankle Society ankle-hindfoot score were significantly improved compared with those before surgery.
Conclusions
The biplane reduction technique proposed in this study to restore the length of the fibula in Maisonneuve fractures was simple and effective, did not require special equipment, and had the advantage of directly examining the reduction condition.
Psychometric properties of the German version of the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) in routine clinical settings: a multi-trait/multi-method study in civilians and military personnel
Authors: Cwik Jan Christopher , Spies Jan , Kessler Henrik , Herpertz Stephan , Woud Marcella L. , Blackwell Simon E. , Willmund Gerd , Zimmermann Peter , Koch Eileen , Bohnacker Vincent , Klaer Benjamin , Schnyder Ulrich , Rau Heinrich , Köhler Kai
Published: March 2024

Background
The Clinician-Administered PTSD Scale (CAPS-5) is a structured diagnostic interview developed for diagnosing post-traumatic stress disorder (PTSD). To ensure compliance with PTSD inclusion criteria, an initial study investigated the psychometric properties and factorial structure of the German version of CAPS-5 using data collected previously. The present study’s objective was to validate the robustness of the psychometric properties of the German CAPS-5 by assessing its validity within a routine clinical context.
Methods
A total of 288 participants were recruited for the study. The validity of the German CAPS-5 was assessed using a multi-trait/multi-method design. Additionally, the study explored internal consistency, test-retest reliability, interrater reliability, and the interview’s diagnostic accuracy. Ultimately, a cut-off score was determined through receiver operating characteristics curve (ROC) analyses.
Results
The study demonstrated good to excellent internal consistency, test-retest reliability, interrater reliability, construct validity, and diagnostic accuracy for the German CAPS-5. Furthermore, the study established a cut-off score of ≥ 40 for the German CAPS-5 sum score.
Discussion
The German CAPS-5 emerged as a structured diagnostic interview exhibiting good to excellent psychometric properties. The findings indicated solid convergent validity of the German CAPS-5; however, further research is warranted to investigate its divergent validity.
Trial registration:
DRKS00015325 (https://www.drks.de)
Auto-sumoylation of the Ubc9 E2 SUMO-conjugating Enzyme Extends Cellular Lifespan
Authors: Ryu Hong-Yeoul , Jeong Dong-Won , Kim Seung Yeon , Jeoung Seok-Won , Zhao Dejian , Knight James , Lam TuKiet , Jin Jong Hwa , Lee Hyun-Shik , Hochstrasser Mark
Published: March 2024

Calorie restriction (CR) provides anti-aging benefits through diverse processes, such as reduced metabolism and growth and increased mitochondrial activity. Although controversy still exists regarding CR-mediated lifespan effects, many researchers are seeking interventions that mimic the effects of CR. Yeast has proven to be a useful model system for aging studies, including CR effects. We report here that yeast adapted through in vitro evolution to the severe cellular stress caused by loss of the Ulp2 SUMO-specific protease exhibit both enhanced growth rates and replicative lifespan, and they have altered gene expression profiles similar to those observed in CR. Notably, in certain evolved ulp2Δ lines, a dramatic increase in the auto-sumoylation of Ubc9 E2 SUMO-conjugating enzyme results in altered regulation of multiple targets involved in energy metabolism and translation at both transcriptional and post-translational levels. This increase is essential for the survival of aged cells and CR-mediated lifespan extension. Thus, we suggest that high Ubc9 auto-sumoylation exerts potent anti-aging effects by promoting efficient energy metabolism-driven improvements in cell replication abilities. This potential could be therapeutically explored for the development of novel CR-mimetic strategies.
Machine Learning Approach for Process Optimization of Black Nickel Electroplating
Authors: SUN YAJUAN , Tan Yong Teck , Zhao Yang , Teo Aaron , Zhou Yujie , Wong Joseph
Published: March 2024

Optimization of electroplating processes is crucial yet time-consuming. In an electroplating process like black nickel plating, achieving a consistent coating becomes challenging without boric acid, which serves as a pH buffer and widens the operational process window. Despite its benefits, the use of boric acid conflicts with the growing emphasis on sustainable and eco-friendly manufacturing. This complication intensifies the intricacy of process optimization. To tackle this challenge, this study employs machine learning techniques to gain insights into optimizing a boric acid-free black nickel plating process. Specifically, three machine learning models were developed to predict coating defects, coating colour, and coating mass. Drawing from the predictions
of these models, an optimization algorithm is proposed to select process parameters ensuring a flawless coating with the desired colour and mass, which is validated by experimental result. The machine learning models were able to give accurate predictions for black nickel electroplating process which behaves in a non-linear manner. This research illustrates how machine learning can enhance the manufacturing industry, particularly in the surface finishing sector, by providing an effective approach to optimize processes in non-linear scenarios, thereby improving product quality and work productivity.
Sculpting Molecules in Text-3D Space: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization
Authors: du weitao , Zhang Kaiwei , Lin Yange , Wu Guangcheng , Ren Yuxiang , Zhang Xuecang , Wang Bo , Zhang Xiao-Yu
Published: March 2024

The integration of deep learning, particularly AI-Generated Content, with high-quality data derived from ab initio calculations has emerged as a promising avenue for transforming the landscape of scientific research. However, the challenge of designing molecular drugs or materials that incorporate multi-modality prior knowledge remains a critical and complex undertaking. Specifically, achieving a practical molecular design necessitates not only meeting the diversity requirements but also addressing structural and textural constraints with various symmetries outlined by domain experts. In this article, we present an innovative approach to tackle this inverse design problem by formulating it as a multi-modality guidance generation/optimization task. Our proposed solution involves a textural-structure alignment symmetric diffusion framework for the implementation of molecular generation/optimization tasks, namely 3DToMolo. 3DToMolo aims to harmonize diverse modalities, aligning them seamlessly to produce molecular structures adhere to specified symmetric structural and textural constraints by experts in the field. Experimental trials across three guidance generation settings have shown a superior hit generation performance compared to state-of-the-art methodologies. Moreover, 3DToMolo demonstrates the capability to generate novel molecules, incorporating specified target substructures, without the need for prior knowledge. This work not only holds general significance for the advancement of deep learning methodologies but also paves the way for a transformative shift in molecular design strategies. 3DToMolo creates opportunities for a more nuanced and effective exploration of the vast chemical space, opening new frontiers in the development of molecular entities with tailored properties and functionalities.
Nudging Outgroup Altruism: A Human-Agent Interactional Approach for Reducing Ingroup Favoritism
Authors: Igwe Kevin , Durrheim Kevin
Published: March 2024

Ingroup favoritism and intergroup conflict can be mutually reinforcing during social interaction, threatening the peace and sustainability of societies. In two studies (N = 880), we investigated whether promoting prosocial outgroup altruism would weaken the ingroup favoritism cycle of influence. Using novel methods of human-agent interaction via a computer-mediated experimental platform, we introduced outgroup altruism by (i) nonadaptive artificial agents with preprogrammed outgroup altruistic behavior (Study 1; N = 400) and (ii) adaptive artificial agents whose altruistic behavior was informed by the prediction of a machine learning algorithm (Study 2; N = 480). A rating task ensured that the observed behavior did not result from the participant’s awareness of the artificial agents. In Study 1, nonadaptive agents prompted ingroup members to uphold their group identity by reinforcing ingroup favoritism. In Study 2, adaptive agents were able to weaken ingroup favoritism over time by maintaining a good reputation with both the ingroup and outgroup members, who perceived agents as being fairer than humans and rated agents as more human than humans. We conclude that a good reputation of the individual exhibiting outgroup altruism is necessary to weaken ingroup favoritism and reduce intergroup conflict. Thus, reputation is important for designing nudge agents.
A new four-area method for evaluating biochemical changes in lumbar facet joint degeneration at T2* mapping
Authors: Ding Yi , Ruan Shidong , Liu Liping , Zhang Xiaodong , Chen Rongchun , Chen Qin , Xu Shuaishuai
Published: March 2024

Purpose
To investigate the diagnostic efficacy of a new four-area method for evaluating biochemical changes in lumbar facet joint (LFJ) degeneration at T2* mapping.
Methods
Fifty-eight patients with low back pain underwent standard MRI protocols and axial T2* mapping. Morphological evaluation of LFJ was performed on T2-weighted imaging according to Weishaupt grading system. T2* value of LFJ was measured at T2* mapping using all-inclusive and four-area methods, respectively. Inter-observer reliability for continuous and categorical variables were respectively evaluated using Pearson correlation coefficient and Kappa value. For evaluating the correlation between continuous variables and ordered categorical variables, one way ANOVA or Kruskal-Wallis test was used.
Results
In the analyses of both all-inclusive and four-area methods, the mean T2* value of grade 0 LFJ was higher than those of grade I, grade II and grade III LFJ, and a downward trend of T2* value was observed as the grade of LFJ rised except grade III. The mean T2* values of LFJ obtained by all-inclusive method were higher than those obtained by four-area method, except grade 0 LFJ. Besides, four-area method had a perfect inter-observer reliability with PCC of 0.992 (p = 0.000), higher than that of all-inclusive method with PCC of 0.943 (p < 0.001).
Conclusions
Being more reproducible and accurate than conventional all-inclusive method in the measurement of T2* value, the new four-area method can be used in evaluating biochemical changes in LFJ degeneration at T2* mapping.
Exploration of Signature Genes and Their Correlation with Immune Cell Infiltration in Cirrhosis
Authors: Li Yuxin , Zhang Wenjie , Mao Lina , Ma Yue , Wang Qiangsong , Zhao Yuanyuan
Published: March 2024

Early diagnosis of cirrhosis is crucial for improving patient prognosis. This study aims to investigate signature genes and their correlation with immune cell infiltration in cirrhosis. We utilized a liver cirrhosis patient dataset obtained from the GEO database to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and random forest analysis were employed to identify signature genes, including RGS1, DEFB1, and ANOS2P. Subsequently, gene set enrichment analysis (GSEA) revealed that these signature genes are associated with positive correlations with allograft rejection and the focal adhesion pathway. Moreover, CIBERSORT analysis suggested potential involvement of these signature genes in immune cell infiltration within cirrhotic conditions. This study enhances our understanding of cirrhosis pathogenesis and may contribute to the development of early diagnostic tools and therapeutic strategies.
Short-term lipopolysaccharide treatment leads to astrocyte activation in LRRK2 G2019S knock-in mice without loss of dopaminergic neurons
Authors: Ngo Hoang Kieu Chi , Le Hoang , Ayer Samuel J. , Crotty Grace F. , Schwarzschild Michael A. , Bakshi Rachit
Published: March 2024

Background
The G2019S mutation of LRRK2, which enhances kinase activity of the protein, confers a substantial risk of developing Parkinson’s disease (PD). However, the mutation demonstrates incomplete penetrance, suggesting the involvement of other genetic or environmental modulating factors. Here, we investigated whether LRRK2 G2019S knock-in (KI) mice treated with the inflammogen lipopolysaccharide (LPS) could model LRRK2 PD.
Results
We found that short-term (2 weeks) treatment with LPS did not result in the loss of dopaminergic neurons in either LRRK2 G2019S KI or wild-type (WT) mice. Compared with WT mice, LRRK2 G2019S-KI mice showed incomplete recovery from LPS-induced weight loss. In LRRK2 G2019S KI mice, LPS treatment led to upregulated phosphorylation of LRRK2 at the autophosphorylation site Serine 1292, which is known as a direct readout of LRRK2 kinase activity. LPS treatment caused a greater increase in the activated astrocyte marker glial fibrillary acidic protein (GFAP) in the striatum and substantia nigra of LRRK2 G2019S mice than in those of WT mice. The administration of caffeine, which was recently identified as a biomarker of resistance to developing PD in individuals with LRRK2 mutations, attenuated LPS-induced astrocyte activation specifically in LRRK2 G2019S KI mice.
Conclusions
Our findings suggest that 2 weeks of exposure to LPS is not sufficient to cause dopaminergic neuronal loss in LRRK2 G2019S KI mice but rather results in increased astrocyte activation, which can be ameliorated by caffeine.
A vehicle-to-infrastructure communication privacy protocolused Blockchain
Authors: Harrabi Samira , Jaafar Ines Ben , Omrani Oumaima
Published: March 2024

Since several decade, the Internet of Things IoT hasattracted enormous interest in the research communityand industry. However, IoT technologies has completelytransformed vehicular ad hoc networks (VANETs) intothe "Internet of Vehicles" IoV. In IoV networks, we needto integrate many different technologies, services andstandards. However, the heterogeneity and large numberof vehicles will increase the need of data security.The IoV security issues are critical because of the vulnerabilitiesthat exist during the transmission of informationthat expose the IoV to attacks. Each attack hasa security procedure. Many protocols and mechanismsexist to combat or avoid this communication securityproblem. One of these protocols is VIPER (a Vehicleto-Infrastructure communication Privacy EnforcementpRotocol). In our work, we try to improve this protocolby using Blockchain technology and certificationauthority.
Ramucirumab for advanced hepatocellular carcinoma in the current real world: A Japanese single-arm study post-REACH-2 (The R-evolution Study)
Authors: Kobayashi Kazufumi , Ogasawara Sadahisa , Itobayashi Ei , Okubo Tomomi , Itokawa Norio , Nakamura Kazuyoshi , Moriguchi Michihisa , Watanabe Shunji , Ikeda Masafumi , Kuroda Hidekatsu , Kawaoka Tomokazu , Hiraoka Atsushi , Yasui Yutaka , Kuzuya Teiji , Sato Rui , Kanzaki Hiroaki , Koroki Keisuke , Inoue Masanori , Nakamura Masato , Kiyono Soichiro , Kanogawa Naoya , Kondo Takayuki , Nakamoto Shingo , Ozawa Yoshihito , Tsuchiya Kaoru , Atsukawa Masanori , Aikata Hiroshi , Aramaki Takeshi , Oka Shiro , Morimoto Naoki , Kurosaki Masayuki , Itoh Yoshito , Izumi Namiki , Kato Naoya
Published: March 2024

Background
This study aimed to complement the results of the REACH-2 study by prospectively evaluating the safety and efficacy of ramucirumab in advanced hepatocellular carcinoma (HCC) in a real-world setting.
Methods
This was an open-label, nonrandomized, multicenter, prospective study conducted at 13 institutions in Japan (jRCTs031190236). The study included Child–Pugh Class A patients with advanced HCC who had received pretreatment with atezolizumab plus bevacizumab (Atez/Bev) or lenvatinib. Ramucirumab was introduced as a second-line treatment after Atez/Bev or lenvatinib and as a third-line treatment after Atez/Bev and lenvatinib.
Results
Between May 2020 and July 2022, we enrolled 19 patients, including 17 who received ramucirumab. Additionally, seven patients received lenvatinib, another seven patients received Atez/Bev, and three patients received Atez/Bev followed by lenvatinib as prior treatment. The primary endpoint was a 6-month progression-free survival (PFS) rate, which was 14.3%. The median PFS and overall survival were 3.7 and 12.0 months, respectively. The most common grade ≥ 3 adverse events (AEs) were hypertension (23.5%), proteinuria (17.6%), and neutropenia (11.8%). The discontinuation rate due to AEs was 29.4%. Six patients progressed from Child–Pugh A to B after treatment with ramucirumab. Thirteen patients were eligible for post-ramucirumab treatment, including systemic therapy.
Conclusions
Despite the limited number of patients, the efficacy of ramucirumab was comparable to that observed in the REACH-2 study when used after lenvatinib and Atez/Bev. However, the incidence of AEs was higher than that in the REACH-2 study.
The ER stress related gene panel guide the prognosis and chemosensitivity in acute myeloid leukemia
Authors: Ren Simei , Peng Hongwei , Long Luyao , Guo Jie , Dai Qi , Sun Li , Yang Lin
Published: March 2024

Background
Acute myeloid leukemia possess high heterogeneity and current European Leukemia Net (ELN) risk stratification system cannot be applicable to all AML patients and needs about 3 weeks testing cycle. The aim of this study was to develop a applicable prognostic tool that may overcome the above shortcomings.
Methods
We used AML patients collected in clinic and TCGA database to explore the role of ER stress in response to chemotherapy. Patients from the TCGA database were used as the training cohort, and two GEO datasets were used as external validation cohorts. Univariate /multivariate COX and LASSO regression was exemplified to establish the prognostic model. Kaplan-Meier and time-dependent ROC were used to assess and compare the efficiency of the model with ELN stratification and other models. R package "pRRophetic" was utilized to assess drug sensitivity.
Results
In the training cohort, we selected 5 ER stress-related genes to predict chemosensitivity and establish the ERS-5 prognostic model. The model successfully predicted the overall survival of patients; p < 0.0001, HR = 4.86 (2.79–8.44); AUC = 0.83. The model was verified in validation cohorts and could further stratify the risk of various AML subgroups. It also complemented the ability of ELN to predict the response of patients with AML to main chemotherapeutic drugs. Finally, a “ERS-5” risk score was construced by the nomogram based on the ERS-5 model and age.
Conclusions
The ERS-5 model allowed more rapid (about 3 hours) and accurate risk stratification and complemented the ability of ELN to assess chemosensitivity.