bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable food garden program in urban farming, Banda Aceh
Authors: Effikayana E , Hakim L 
Published: June 2023

Abstract
Social Impact Assessment aims to help individuals, groups or communities to understand impacts that have occurred and are likely to occur. The purpose of this research to analyze the supporting and inhibiting factors of social impact assessment on the effectiveness of the sustainable food garden program and to analyze the social impact assessment process that can be applied to the effectiveness of the sustainable food garden program in Banda Aceh City. The research method uses a descriptive qualitative approach. The data used in this study comes from previous literature research. The aims and objectives of P2L activities are to increase the availability, accessibility and utilization of household food through diverse, balanced and safe food needs, as well as to increase household income through market-oriented food supply In this case, want to see how far the implementation of the social impact assessment has on the effectiveness of the Sustainable Food Garden Program implemented in Banda Aceh City The results of the study can be seen that the Sustainable Food Garden Program in Banda Aceh City is less effective due to aspects of the urban community who are not farmers, motivation, intensity of counseling and low levels of independence, food adequacy, while in terms of participation in planting the ability to grow crops is already good. From the results of measuring the effectiveness of the sustainable food garden program itself, it can be seen that program sustainability and food self-sufficiency are relatively low while the ability to cultivate crops is relatively good.
Machine learning using magnetic stochastic synapses
Authors: Ellis Matthew O A , Welbourne Alexander , Kyle Stephan J , Fry Paul W , Allwood Dan A , Hayward Thomas J , Vasilaki Eleni 
Published: June 2023

Abstract
The impressive performance of artificial neural networks has come at the cost of high energy usage and CO2 emissions. Unconventional computing architectures, with magnetic systems as a candidate, have potential as alternative energy-efficient hardware, but, still face challenges, such as stochastic behaviour, in implementation. Here, we present a methodology for exploiting the traditionally detrimental stochastic effects in magnetic domain-wall motion in nanowires. We demonstrate functional binary stochastic synapses alongside a gradient learning rule that allows their training with applicability to a range of stochastic systems. The rule, utilising the mean and variance of the neuronal output distribution, finds a trade-off between synaptic stochasticity and energy efficiency depending on the number of measurements of each synapse. For single measurements, the rule results in binary synapses with minimal stochasticity, sacrificing potential performance for robustness. For multiple measurements, synaptic distributions are broad, approximating better-performing continuous synapses. This observation allows us to choose design principles depending on the desired performance and the device’s operational speed and energy cost. We verify performance on physical hardware, showing it is comparable to a standard neural network.
Thoracic Aortic Injuries Following Intra-Aortic Balloon Pump Placement: A Retrospective Case Series
Authors: Kiernan Zachary , Wu Kainuo , Chaturvedi Abhishek , Kontos Michael C. , Roberts Charlotte S. , Shah Keyur , Quader Mohammed 
Published: June 2023

OBJECTIVES:
Thoracic aortic injuries from intra-aortic balloon pump (IABP) are rare, and no publications exist in the context of patients awaiting heart transplantation. We present a single-institution case series involving five patients out of 107 who sustained thoracic aortic injuries following IABP placement awaiting heart transplantation. The goal of this study is to describe the characteristics of patients, presenting symptoms, treatment and the impact of these injuries on their suitability for transplantation.

DESIGN:
Retrospective, single-institution study through chart review of five patients with known thoracic aortic injuries following IABP placement awaiting heart transplant.

SETTING:
Tertiary care academic teaching hospital with all patients requiring cardiac ICU admission.

PATIENTS:
All five patients were diagnosed with advanced heart failure awaiting heart transplantation.

INTERVENTIONS:
Each patient had an IABP placed while awaiting transplant.

MEASUREMENTS AND MAIN RESULTS:
Five patients (4.6%) out of a total of 107 supported with IABP awaiting heart transplantation were identified with thoracic aortic injury. Three underwent transplantation and subsequently received thoracic endovascular aortic repair, and they are doing well with a mean follow-up of 6 months. One patient died acutely and the other did not require intervention.

CONCLUSIONS:
IABP-related aortic injuries may be more common in patients awaiting transplantation and that endovascular therapy is a suitable treatment modality with no immediate impact on transplantation outcomes. Pooled data from multiple centers may help identify patients risk profile to potentially design an algorithm that can more quickly identify these injuries.
Does use of long-term aspirin impact outcomes in patients with acute pancreatitis?
Authors: Chaudhry Hunza , Sohal Aalam , Dukovic Dino , Kohli Isha , Sharma Raghav , Singla Piyush , Prajapati Devang , Yang Juliana 
Published: June 2023

Introduction
Although the effect of rectal indomethacin in post-endoscopic retrograde cholangiopancreatography pancreatitis is well established, the effect of aspirin on acute pancreatitis (AP) is not well studied. We investigate the effect of aspirin on AP.

Methods
We collected data from the National Inpatient Sample database from 2016 to 2020, to identify adult patients with acute pancreatitis. Patients were stratified into 2 groups, based on the presence of aspirin use. The primary outcome was mortality, while other outcomes were sepsis, shock, acute kidney injury (AKI), ICU admission, deep venous thrombosis (DVT), pulmonary embolism (PE), portal vein thrombosis (PVT), pseudocyst and ileus.

Results
A total of 2.09 million patients met the inclusion criteria, of which 197 170 (9.41%) had long-term aspirin use. The majority of the patients with aspirin use were aged >65 years, male, White and had Medicare insurance. There was a higher incidence of biliary pancreatitis while rates of alcohol-induced pancreatitis were lower in patients with aspirin use. There was a lower incidence of mortality, sepsis, shock, PE, DVT, PVT and pseudocyst in patients with aspirin use. There was no difference in the incidence of ileus, while the incidence of AKI was higher. After adjusting for confounding factors, patients with aspirin use had a 23.6% lower risk of mortality.

Discussion
Our results reveal a significant finding of aspirin’s protective effect on AP in the US population. Our study is the largest study revealing an association between aspirin and AP. Further studies assessing the role of aspirin use in AP are warranted.
Gynecological Cancer Survivors’ Experiences and Desire for Follow-up After Recent Treatment
Authors: Breistig Sigrund , Thorkildsen Kari Marie , Tveit Sekse Ragnhild Johanne 
Published: June 2023

Background
Gynecological cancer survivors experience a variety of challenges after discharge from hospital treatment. Cancer support and rehabilitation are recognized as significant facilitators for quality of life in survivorship but are reported to be insufficient by gynecological cancer survivors.

Objective
To describe the lived experiences of gynecological cancer survivors and how their needs for follow-up should be met following recently completed treatment.

Method
This study used a phenomenological hermeneutic design with individual in-depth interviews with 20 women after recently completed cancer treatment. Transcribed interviews were analyzed with the Lindseth and Norberg phenomenological hermeneutic method.

Results
Four themes were identified: “a brutal transition to life after cancer,” “fear of recurrence overshadowing the existence,” “a need for professional support,” and “information is not given unless asked for.”

Conclusion
After completing gynecological cancer treatment, the fear of cancer recurrence is dominating, regardless of prognosis and diagnosis. At the same time, information and support from healthcare professionals are described as lacking. Participants expressed a need to be contacted directly as a formal routine by healthcare professionals after cancer treatment with cancer-specific information as this may alleviate the existential suffering that the cancer experience brings.

Implications for clinical practice
A person-centered, systematic follow-up rehabilitation is needed as a continuation of the care provided during cancer treatment. Future research is needed to explore the impact on women’s quality of life when gynecologic-specific information is given in advance of hospital discharge after completing treatment.
Application of Artificial Intelligence in Oncology Nursing
Authors: Zhou Tianji , Luo Yuanhui , Li Juan , Zhang Hanyi , Meng Zhenyu , Xiong Wenjin , Zhang Jingping 
Published: June 2023

Background
Artificial intelligence (AI) has been increasingly used in healthcare during the last decade, and recent applications in oncology nursing have shown great potential in improving care for patients with cancer. It is timely to comprehensively synthesize knowledge about the progress of AI technologies in oncology nursing.

Objective
The aims of this study were to synthesize and evaluate the existing evidence of AI technologies applied in oncology nursing.

Methods
A scoping review was conducted based on the methodological framework proposed by Arksey and O’Malley and later improved by the Joanna Briggs Institute. Six English databases and 3 Chinese databases were searched dating from January 2010 to November 2022.

Results
A total of 28 articles were included in this review—26 in English and 2 in Chinese. Half of the studies used a descriptive design (level VI). The most widely used AI technologies were hybrid AI methods (28.6%) and machine learning (25.0%), which were primarily used for risk identification/prediction (28.6%). Almost half of the studies (46.4%) explored developmental stages of AI technologies. Ethical concerns were rarely addressed.

Conclusions
The applicability and prospect of AI in oncology nursing are promising, although there is a lack of evidence on the efficacy of these technologies in practice. More randomized controlled trials in real-life oncology nursing settings are still needed.

Implications for Practice
This scoping review presents comprehensive findings for consideration of translation into practice and may provide guidance for future AI education, research, and clinical implementation in oncology nursing.
Is Being Overweight a Risk Factor for Torsion of the Appendix Testis in Children?
Authors: Coronas-Soucheiron Maria , Martín-Solé Oriol , Massaguer Clara , Tarrado Xavier 
Published: June 2023

ObjectiveThis study aimed to determine whether being overweight during childhood is a risk factor for torsion of the appendix testis (TAT).MethodsWe conducted a paired case-control study with all boys surgically treated for TAT, paired by age and sex with patients who were seen in the emergency department for a reason other than acute scrotum. Age and weight were registered, and weight percentile (WP) by age was calculated and compared between groups. Weight percentile was classified into 4 groups (<25, 25–50, 50–75, >75), and a conditional logistic regression analysis was performed to establish the risk of TAT related to the WP.ResultsA total of 980 patients were diagnosed as having TAT in our institution, of which 118 patients (12%) were surgically treated and randomly paired with 118 controls. Mean age was the same in both groups (11.2 years,P= 0.908). Patients with TAT had a higher median of WP (79; interquartile range, 49–94) than the control group (49; interquartile range, 20–79;P< 0.0001). For each WP point increase, risk of TAT raised by 2.2% (odds ratio [OR], 1.022; 95% confidence interval [CI], 1.011–1.032;P< 0.001). Weight percentile >75 increased the risk of TAT: 6-fold compared with WP <25 (OR, 5.9; 95% CI, 2.5–14;P< 0.001), 4-fold compared with WP of 25 to 50 (OR, 4.3; 95% CI, 1.8–10.5;P= 0.001), and 3-fold compared with WP of 50 to 75 (OR, 3.3; 95% CI, 1.5–7.6;P= 0.004).ConclusionsOverweight increases the risk of being operated on because of TAT. Because obesity is a rising problem, a greater incidence of TAT remains to be proved.
68Ga-Pentixafor PET/MRI for Treatment Response Assessment in Mantle Cell Lymphoma
Authors: Mayerhoefer Marius E. , Raderer Markus , Weber Michael , Lamm Wolfgang , Kiesewetter Barbara , Hacker Marcus , Nics Lukas , Schmitl Stefan , Leithner Doris , Wester Hans-Juergen , Haug Alexander 
Published: June 2023

Purpose
The aim of this study was to compare CXCR4 imaging with 68Ga-pentixafor PET to MRI for treatment response assessment in patients with mantle cell lymphoma (MCL).

Patients and Methods
Twenty-two posttreatment 68Ga-pentixafor PET/MRI scans of 16 patients (7 women and 9 men; mean age, 69.9 ± 7.9) with a total of 67 target lesions on baseline PET/MRI were analyzed. Rates of complete remission per lesion and per scan, according to MRI (based on lesion size) and 68Ga-pentixafor PET (based on SUV decrease to lower than liver and blood pool uptake), were compared using McNemar tests. The t tests and Pearson correlation coefficients (r) were used to compare rates of change in lesion diameter products (DPs) on MRI, and standardized uptake values (SUVmax, SUVmean) on PET, relative to baseline.

Results
At interim PET/MRI, 18/32 (56.3%) target lesions met CR criteria on 68Ga-pentixafor PET, and 16/32 (50.0%) lesions met size-based MRI criteria for CR (P = 0.63). At end-of-treatment PET/MRI, 40/57 (70.2%) target lesions met 68Ga-pentixafor PET criteria for CR, and 27/57 (47.4%) lesions met size-based MRI criteria for CR (P = 0.021). Complete remission after treatment was observed more frequently on 68Ga-pentixafor PET (11/22 scans, 54.5%) than on MRI (6/22 scans, 27.3%) (P = 0.031). Rates of change did not differ significantly between lesion DP (−69.20% ± 34.62%) and SUVmax (−64.59% ± 50.78%, P = 0.22), or DP and SUVmean (−60.15 ± 64.58, P = 0.064). Correlations were strong between DP and SUVmax (r = 0.71, P < 0.001) and DP and SUVmean (r = 0.73, P < 0.001).

Conclusions
In MCL patients, 68Ga-pentixafor PET may be superior for assessment of complete remission status than anatomic MRI using lesion size criteria, especially at the end of treatment.
Simultaneous Lung-abdominal Organ Procurement From Donation After Circulatory Death Donors Reduces Donor Hepatectomy Time
Authors: Blondeel Joris , Blondeel Maarten , Gilbo Nicholas , Vandervelde Christelle M. , Fieuws Steffen , Jochmans Ina , Van Raemdonck Dirk , Pirenne Jacques , Ceulemans Laurens J. , Monbaliu Diethard 
Published: June 2023

Introduction.
Prolonged organ procurement time impairs the outcome of donation after circulatory death (DCD) and liver transplantation (LiT). Our transplant team developed a simultaneous, rather than sequential, lung-abdominal organ explantation strategy for DCD donation to prioritize liver procurement. We evaluated whether this change in strategy effectively reduced donor hepatectomy time (dHT), without affecting donor pneumonectomy time (dPT), and influenced LiT and lung transplantation outcome.

Methods.
All lung-abdominal and abdominal-only transplant procedures between 2010 and 2020 were analyzed in this retrospective cohort study. Relationships were assessed between the year of transplant and dHT and dPT (univariate linear regression), 1-y patient and graft survival, primary graft dysfunction, and nonanastomotic biliary strictures (univariate logistic regression).

Results.
Fifty-two lung-abdominal and 110 abdominal-only DCD procedures were analyzed. A significant decrease in dHT was noted in lung-abdominal (slope −1.14 [−2.14; −0.15], P = 0.026) but not in abdominal-only procedures; dPT did not increase. There were no significant associations between the year of transplant and nonanastomotic biliary strictures frequency, primary graft dysfunction incidence, 1-y patient, and graft survival.

Conclusions.
Simultaneous organ procurement in multiorgan lung-abdominal DCD procedures is feasible, and effectively shortened dHT without affecting lung transplantation outcome. No impact on LiT outcome was observed; however, larger multicenter studies are needed.
Effects of inaudible binaural beats on visuospatial memory
Authors: Kim Ye-Jin , Kim Kyu-Beom , Kim Ji-Su , Kim Hyung-Sik , Choi Mi-Hyun , Yi Jeong-Han , Chung Soon-Cheol 
Published: June 2023

Objectives
Binaural beats are auditory beat stimulation that produces sounds and induces a specific state of brain wave based on the difference in the frequency of stimulation. This study aimed to investigate the effects of inaudible binaural beats on visuospatial memory at 18 000 Hz reference and 10 Hz difference frequencies.

Methods
Eighteen adult subjects in their twenties were enrolled, including 12 males (mean age: 23.8 ± 1.2) and 6 females (mean age: 22.8 ± 0.8). An auditory stimulator providing 10 Hz binaural beats stimulation via 18 000 Hz to the left and 18 010 Hz to the right ears was used. The experiment consisted of two 5-min phases, including a rest phase and a task phase involving task performance without (Task-only) and with binaural beats stimulation (Task+BB). A 3-back task was used to measure visuospatial memory. Cognitive ability measured by task performance (accuracy and reaction time) with and without binaural beats, as well as variations in alpha power across different brain domains, were compared using paired t-tests.

Results
Compared to the Task-only condition, the Task+BB condition had significantly higher accuracy and significantly shorter reaction time. The electroencephalogram analysis showed that the reduction level in alpha power for the task performance under the Task+BB condition was significantly lower in all brain areas except the frontal, compared to that under the Task-only condition.

Conclusion
The significance of this study lies in having verified the independent effects of binaural beats stimulation without any auditory influence, based on visuospatial memory.
Subthalamic nucleus deep brain stimulation induces nigrostriatal dopaminergic plasticity in a stable rat model of Parkinson’s disease
Authors: Helf Charlotte , Kober Maria , Markert Franz , Lanto Jennifer , Overhoff Leonie , Badstübner-Meeske Kathrin , Storch Alexander , Fauser Mareike 
Published: June 2023

Objective
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been a highly effective treatment option for middle to late stage Parkinson’s disease for decades. Though, the underlying mechanisms of action, particularly effects on the cellular level, remain in part unclear. In the context of identifying disease-modifying effects of STN-DBS by prompting cellular plasticity in midbrain dopaminergic systems, we analyzed neuronal tyrosine hydroxylase and c-Fos expression in the substantia nigra pars compacta (SNpc) and ventral tegmental area (VTA).

Methods
We applied 1 week of continuous unilateral STN-DBS in a group of stable 6-hydroxydopamine (6-OHDA) hemiparkinsonian rats (STNSTIM) in comparison to a 6-OHDA control group (STNSHAM). Immunohistochemistry identified NeuN+, tyrosine hydroxylase+ and c-Fos+ cells within the SNpc and VTA.

Results
After 1 week, rats in the STNSTIM group had 3.5-fold more tyrosine hydroxylase+ neurons within the SNpc (P = 0.010) but not in the VTA compared to sham controls. There was no difference in basal cell activity as indicated by c-Fos expression in both midbrain dopaminergic systems.

Conclusion
Our data support a neurorestorative effect of STN-DBS in the nigrostriatal dopaminergic system already after 7 days of continuous STN-DBS in the stable Parkinson’s disease rat model without affecting basal cell activity.
How could we make a social robot? A virtual bargaining approach
Authors: Chater Nick 
Published: June 2023

What is required to allow an artificial agent to engage in rich, human-like interactions with people? I argue that this will require capturing the process by which humans continually create and renegotiate ‘bargains’ with each other. These hidden negotiations will concern topics including who should do what in a particular interaction, which actions are allowed and which are forbidden, and the momentary conventions governing communication, including language. Such bargains are far too numerous, and social interactions too rapid, for negotiation to be conducted explicitly. Moreover, the very process of communication presupposes innumerable momentary agreements concerning the meaning of communicative signals, thus raising the threat of circularity. Thus, the improvised ‘social contracts’ that govern our interactions must be implicit. I draw on the recent theory of virtual bargaining, according to which social partners mentally simulate a process of negotiation, to outline how these implicit agreements can be made, and note that this viewpoint raises substantial theoretical and computational challenges. Nonetheless, I suggest that these challenges must be met if we are ever to create AI systems that can work collaboratively alongside people, rather than serving primarily as valuable special-purpose computational tools.This article is part of a discussion meeting issue 'Cognitive artificial intelligence'.
Argument and explanation
Authors: Hahn Ulrike , Tešić Marko 
Published: June 2023

In this paper, we bring together two closely related, but distinct, notions: argument and explanation. We clarify their relationship. We then provide an integrative review of relevant research on these notions, drawn both from the cognitive science and the artificial intelligence (AI) literatures. We then use this material to identify key directions for future research, indicating areas where bringing together cognitive science and AI perspectives would be mutually beneficial.This article is part of a discussion meeting issue ‘Cognitive artificial intelligence’.
Peano: learning formal mathematical reasoning
Authors: Poesia Gabriel , Goodman Noah D. 
Published: June 2023

General mathematical reasoning is computationally undecidable, but humans routinely solve new problems. Moreover, discoveries developed over centuries are taught to subsequent generations quickly. What structure enables this, and how might that inform automated mathematical reasoning? We posit that central to both puzzles is the structure of procedural abstractions underlying mathematics. We explore this idea in a case study on five sections of beginning algebra on the Khan Academy platform. To define a computational foundation, we introduce Peano, a theorem-proving environment where the set of valid actions at any point is finite. We use Peano to formalize introductory algebra problems and axioms, obtaining well-defined search problems. We observe existing reinforcement learning methods for symbolic reasoning to be insufficient to solve harder problems. Adding the ability to induce reusable abstractions (‘tactics’) from its own solutions allows an agent to make steady progress, solving all problems. Furthermore, these abstractions induce an order to the problems, seen at random during training. The recovered order has significant agreement with the expert-designed Khan Academy curriculum, and second-generation agents trained on the recovered curriculum learn significantly faster. These results illustrate the synergistic role of abstractions and curricula in the cultural transmission of mathematics.This article is part of a discussion meeting issue ‘Cognitive artificial intelligence’.