bluuebunny/crossref_metadata_2025_split huggingface dataset:
Formulation of Jackfruit-Papaya Blended Fruit Bar
Authors: T. S. Sariga , Kumar Athulya S. 
Published: December 2024

Aims: Fruit bars serve as a natural, healthier alternative to sugary snacks like cookies, cakes, and candies. Preparation of fruit bar by blending multiple fruit pulps can enhance their nutritional values, sensory qualities and health benefits. The present study aims to develop a jackfruit-papaya blended fruit bar with superior nutritional and sensory qualities that meets the growing demand of consumer preferences for natural, plant based options, supporting both health and sustainability.
Study Design: Completely Randomized Design by using GRAPES (General R based Analysis Platform Empowered by Statistics)
Place and Duration of Study: Department of Postharvest Management, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University between February 2022 and July 2024.
Methodology: In the present study, the pulps of jackfruit (J) and papaya (P) were blended in different ratios viz., 90J:10P (B1), 80J:20P (B2), 70J:30P (B3), 60J:40P (B4), 50J:50P (B5) and 100J (B6) (control) for the production of fruit bars as per the FSSAI specifications. The prepared pulp was dried at 55°C temperature till it attained a moisture content of 15-20%. The blended fruit bars were compared with pure jackfruit bar (100J) for various chemical, nutritional and organoleptic quality parameters (100J) to explore the possibility of efficient blending and for the selection of a superior blending ratio.
Results: The blended fruit bar prepared with 50% jackfruit pulp and 50% papaya pulp (B5) had superior chemical, nutritional and organoleptic quality parameters. Hence, 50% jackfruit pulp and 50% papaya pulp (B5) was selected as the best blending ratio of jackfruit-papaya blended fruit bar. The blended fruit bar prepared with B5 recorded the highest TSS (55.53 0Brix), reducing sugar (42.86%), total sugar (67.58%), ascorbic acid (29.7 6mg 100 g-1), carotenoid content (1.41 mg 100 g-1), crude fibre (9.30%) and lowest acidity (0.93%) and protein content (0.20 mg 100 g-1) with superior organoleptic quality parameters.
Conclusion: The fruit bar offers several health benefits by blending different fruit pulps, each rich in essential nutrients. In this study, the blended fruit bar prepared with 50% jackfruit pulp and 50% papaya pulp (B5) was selected as the best blending ratio based on superior chemical, nutritional, and organoleptic properties, making it a promising option for a healthy and nutrient-packed snack.
Necessity of invaginating the appendiceal stump in laparoscopic appendectomy for acute nonperforated appendicitis
Authors: Shioda Mio , Yokoyama Yasuyuki , Chihara Naoto , Mizutani Satoshi , Mishima Keisuke , Shimizu Takao , Taniai Nobuhiko , Yoshida Hiroshi 
Published: December 2024

Abstract:

Objectives
This study aimed to assess the necessity of invaginating the appendiceal stump in laparoscopic appendectomy for patients with acute nonperforated appendicitis. Summary of Background Data: Laparoscopic appendectomy has become the preferred method over open appendectomy for acute appendicitis, offering benefits like shorter intraoperative times and reduced wound sepsis. However, the necessity of invaginating the appendiceal stump, aimed at preventing stump leakage and intrabdominal infection, remains unclear.

Methods
This retrospective observational study was conducted at Nippon Medical School Musashikosugi Hospital from 2009 to 2018 and involved patients aged ≥15 years diagnosed with acute nonperforated appendicitis who underwent emergency surgery without preoperative intra-abdominal abscess. Patients were divided into two groups: open appendectomy with stump invagination (Group O) and laparoscopic appendectomy without stump invagination (Group L). The primary outcomes were incidences of appendiceal stump leakage and postoperative intra-abdominal abscess.

Results
The study involved 119 patients in Group O and 175 in Group L. Both groups were comparable in age, sex, body mass index, blood examination results, operating time, and drain insertion rate. Group L presented more cases of gangrenous appendicitis with severe inflammation but had shorter postoperative stays compared with Group O. The incidence of postoperative intra-abdominal abscess was 2% (2 cases) in Group O and 2% (4 cases) in Group L, with no significant difference. No cases of stump leakage were observed in either group.

Conclusions
Invaginating the appendiceal stump in laparoscopic appendectomy for nonperforated appendicitis may be unnecessary, as its omission does not increase short-term postoperative complications.
Evaluation of the effect of split administration of compound polyethylene glycol electrolyte powder combined with simethicone oil in bowel preparation before colonoscopy in the elderly
Authors: Sun Yanfang , Liu Ying , Xie Yanna , Zhang Yisha , Yang Hongyan , Yang Yong , Wang Aihua 
Published: December 2024

ABSTRACT

Objective:
This study is to explore the application value of fractional administration of compound polyethylene glycol electrolyte powder combined with simethicone for bowel preparation before colonoscopy in elderly patients.

Methods:
The objects are 60 elderly patients who underwent colonoscopy in our hospital in 2021.The patients were randomly divided into the control group and the observation group, 30 cases in each group. The control group took polyethylene glycol electrolyte powder for bowel preparation by several times. On this basis, the observation group was given simethicone for bowel preparation. The adverse reactions, intestinal cleanliness, air bubbles in the intestines, lens clarity, time of entering the lens, the amount of saline flushing, and lesion detection were compared between the two groups.

Results
There was no significant difference in adverse reactions, bowel cleanliness score, detection rate of ≥0.5 cm polyps and adenomas between the two groups（P&gt;0.05）, but the air bubbles and lens clarity , the time of entering the lens, the amount of saline flushing, the detection rate of&lt;0.5 cm polyps of the observation group was significantly better than that of the control group（P&lt;0.05）.

Conclusion:
It is safe and effective for elderly patients to take compound polyethylene glycol electrolyte powder combined with simethicone for intestinal preparation.
Approaching Trap‐Minimized Polymer Thin‐Film Transistors
Authors: Kitahara Gyo , Ikawa Mitsuhiro , Matsuoka Satoshi , Arai Shunto , Hasegawa Tatsuo 
Published: October 2021

AbstractSemiconducting π‐conjugated polymers are the most promising candidates for flexible electronics owing to their facile processability and mechanical robustness; however, achieving steep and stable switching operations in polymer thin‐film transistors (TFTs) remains a serious challenge. Herein, it is shown that whole optimizations for eliminating interfacial carrier traps throughout the conductive path are necessary in achieving TFTs showing both exceptionally sharp switching and bias‐stress‐free characteristics. Inverted‐coplanar‐type TFTs composed of a highly lyophobic amorphous perfluoropolymer gate–dielectric interfaced with a push‐coated semiconducting polymer layer are manufactured. The use of the dielectric allows the establishment of bias‐stress‐free characteristics with minimized contact resistance. Additionally, fairly sharp on/off switching TFTs with the smallest normalized subthreshold swing can be obtained by utilizing a particular donor–acceptor copolymer that involves a self‐passivation mechanism working to achieve a trap‐minimized interface. These findings have opened a way for low‐power and robust device operations in polymer‐based flexible electronics.
Green Recycling Methods to Treat Lithium‐Ion Batteries E‐Waste: A Circular Approach to Sustainability
Authors: Roy Joseph Jegan , Rarotra Saptak , Krikstolaityte Vida , Zhuoran Kenny Wu , Cindy Yang Dja‐Ia , Tan Xian Yi , Carboni Michael , Meyer Daniel , Yan Qingyu , Srinivasan Madhavi 
Published: October 2021

AbstractE‐waste generated from end‐of‐life spent lithium‐ion batteries (LIBs) is increasing at a rapid rate owing to the increasing consumption of these batteries in portable electronics, electric vehicles, and renewable energy storage worldwide. On the one hand, landfilling and incinerating LIBs e‐waste poses environmental and safety concerns owing to their constituent materials. On the other hand, scarcity of metal resources used in manufacturing LIBs and potential value creation through the recovery of these metal resources from spent LIBs has triggered increased interest in recycling spent LIBs from e‐waste. State of the art recycling of spent LIBs involving pyrometallurgy and hydrometallurgy processes generates considerable unwanted environmental concerns. Hence, alternative innovative approaches toward the green recycling process of spent LIBs are essential to tackle large volumes of spent LIBs in an environmentally friendly way. Such evolving techniques for spent LIBs recycling based on green approaches, including bioleaching, waste for waste approach, and electrodeposition, are discussed here. Furthermore, the ways to regenerate strategic metals post leaching, efficiently reprocess extracted high‐value materials, and reuse them in applications including electrode materials for new LIBs. The concept of “circular economy” is highlighted through closed‐loop recycling of spent LIBs achieved through green‐sustainable approaches.
Soft Magnetic Composites as Quantitative 3D Compression Sensors for Wearable Technology
Authors: Miller Jonathan D. , Cabarkapa Dimitrije , Hermes Matthew J. , Fry Andrew C. , Berkland Cory J. 
Published: October 2021

AbstractDetecting the magnitude of compression or shear events can provide valuable data to assess forces experienced by sensitive equipment or even the human body. Compression sensors have historically had limited use in fields such as wearable technology due to the large size of the sensors, lack of 3D sensing capacity, need for rigid components, or signal quality issues associated with the orientation or deformation of soft composites under compression. In particular, soft magnetic composites paired with a magnetometer to sense material deformation have been hindered by such issues. Here, experiments evaluated soft silicone‐magnetic powder composites of various shapes, sizes, magnetic filler concentrations, and orientations to a magnetometer to optimize sensor performance. Sensors with smaller diameter (≤2.5 mm) cylinder‐shaped magnetic elements exhibited a linear response to compression when paired with a 3 mm × 3 mm magnetometer. The soft magnetic elements composed of 80% magnetic powder by weight, the highest concentration tested, had the greatest sensitivity. Parameters from these studies are used to design a sensor integrated into a football helmet, which successfully recorded 3D force data from head impacts while being worn, demonstrating the potential for such sensors in wearable technology applications.
Soft, Thiol‐ene/Acrylate‐Based Electrode Array for Long‐Term Recording of Intracranial EEG Signals with Improved Biocompatibility in Mice
Authors: Fedor Flóra Zsófia , Madarász Miklós , Zátonyi Anita , Szabó Ágnes , Lőrincz Tibor , Danda Vindhya , Spurgin Lisa , Manz Connie , Rózsa Balázs , Fekete Zoltán 
Published: October 2021

AbstractThiol‐ene/acrylate, a softening polymer material, rapidly gained attention during the past few years as a substrate of intracortical probes, as soft polymers can mitigate foreign body response by reducing mechanical mismatch between the neural implant and the surrounding brain tissue. This paper presents a comprehensive analysis of a thiol‐ene/acrylate based microECoG (micro – electrocorticography, μECoG) device with 31 sputtered iridium oxide electrodes. Long‐term electrochemical measurements provide firm evidence on the reliability of the novel layer structure and the related packaging method. In vivo impedance measurements indicated stable electrode yield (over 75%), without apparent signs of delamination or material degradation over 75 days. Awake recordings of theta oscillations with signal‐to‐noise ratio between 1.04 and 5.74 over this extended period also confirmed the applicability of the device. Chronic immune response characterized by Glial Fibrillary Acidic Protein staining of astrocytes and fluorescent Nissl (NeuroTrace) staining of neurons revealed only modest foreign body reaction after 80 days of implantation. The study presents novel data that confirms the feasibility of softening polymer‐based μECoG devices as chronically implantable neural interfaces.
Fabrication of ω‐Transaminase@Metal‐Organic Framework Biocomposites for Efficiently Synthesizing Benzylamines and Pyridylmethylamines
Authors: Yu Jinhai , Zong Weilu , Ding Yingying , Liu Junzhong , Chen Lina , Zhang Hongjuan , Jiao Qingcai 
Published: October 2021

AbstractIn this study, ten ω‐transaminases (ω‐TAs) have been investigated to efficiently catalyze the synthesis of twenty‐four functionalized benzylamines and pyridylmethylamines. We optimized the reactions, screened suitable amino donors and compared ω‐transaminases activities for all aromatic aldehyde substrates. Under the optimized conditions, eighteen aromatic amines have been obtained with 60.4%–96.6% conversions and isolated only via simple extraction and recrystallization with 18.5%–81% yields on a preparative scale. Furthermore, we first immobilized the Bm‐STA onto the MOFs via the physical adsorption to overcome the limitation of free enzyme and improve their industrial applications. The obtained Bm‐STA/UiO‐66‐NH2 composites exhibited not only high enzymes loading (80.4 mg g−1) and enzyme activity recovery (95.8%), but also the better reusability, storage stability, pH stability and the tolerance to acetone and DMF.magnified image
Tiny Video Networks
Authors: Piergiovanni A. J. , Angelova Anelia , Ryoo Michael S. 
Published: October 2021

AbstractAutomatic video understanding is becoming more important for applications where real‐time performance is crucial and compute is limited: for example, automated video tagging, robot perception, activity recognition for mobile devices. Yet, accurate solutions so far have been computationally intensive. We propose efficient models for videos—Tiny Video Networks—which are video architectures, automatically designed to comply with fast runtimes and, at the same time are effective at video recognition tasks. The TVNs run at faster‐than‐real‐time speeds and demonstrate strong performance across several video benchmarks. These models not only provide new tools for real‐time video applications, but also enable fast research and development in video understanding. Code and models are available.
An ongoing challenge: The impact of federal policies on organisations, communities and individuals serving people seeking asylum
Authors: Murray Kate E. , Meuter Renata F. I. , Cox Mandy , Ostapiej‐Piatkowski Beata 
Published: October 2021

AbstractThe world is facing unprecedented numbers of people forcibly displaced, and there is a need for an enhanced global response. In turn, there are significant implications for those seeking asylum and the service providers working with them. Using thematic analysis, the current research analyses qualitative data from 16 semi‐structured interviews with individuals providing services to people seeking asylum in Australia, exploring the relevance of policy to service providers. There were two meta‐themes identified that linked government policies to their adverse impacts (1) on asylum seekers and on staff and volunteers, and (2) on organisations and their service provision. Participants identified changing and unpredictable policies, the uncertainty over lengthy application review processes for those seeking asylum, and the limited access to resources and financial supports available as impacting service delivery and overall well‐being. The findings highlighted the negative impact of federal policies on those seeking asylum, and on service provider and organisational capacity to provide services and to fulfil their duty of care. Participants highlighted how changing policies compromise their ability to plan for current and future needs and add further strain and uncertainty to the system. The findings can inform Australian conversations on policy and practice for people seeking asylum.
Acupuncture inhibits NLRP3 inflammasome activation in the prefrontal cortex of a chronic stress rat model of depression
Authors: Li Xiaoyan , Wang Hongmei , Li Chen , Wu Jihong , Lu Jun , Guo Jian‐You , Tu Ya 
Published: October 2021

AbstractThe Nod‐like receptor family pyrin domain‐containing 3 (NLRP3) inflammasome‐driven inflammatory response plays a key role in the pathophysiology of depression. Mounting evidence suggests that acupuncture is an effective treatment for depression. In this study, we investigated the effects of acupuncture treatment at the acupoints Baihui (GV20) and Yintang (GV29) on NLRP3 inflammasome in the prefrontal cortex (PFC) of an animal model of depression. Rats that underwent chronic unpredictable mild stress (CUMS) for 6 weeks showed depressive‐like behaviors, which were confirmed by sucrose preference and locomotor activity in the open field test. The protein levels of NLRP3, apoptotic speck‐containing protein with a card (ASC), and cysteinyl aspartate specific proteinase‐1 (Caspase‐1) in the PFC were detected by Western blot analysis. The mRNA and protein expressions of interleukin‐1β (IL‐1β) and interleukin‐18 (IL‐18) in the PFC were measured by the real‐time polymerase chain reaction (RT‐PCR) and enzyme‐linked immunosorbent assay (ELISA), respectively. Our results showed that the depressive‐like behaviors in stressed rats were reversed by acupuncture treatment. Compared with control rats, the protein expression of NLRP3, ASC, and Caspase‐1 and the mRNA and protein expressions of IL‐1β and IL‐18 in the PFC were markedly increased in CUMS rats. Acupuncture treatment significantly decreased the levels of NLRP3 inflammasome components and inflammatory cytokines in the PFC. Acupuncture treatment also reduced the number of TUNEL‐positive cells in the PFC. These results suggested that acupuncture has antidepressant‐like effects, and its mechanism appears to be involved in the inhibition of NLRP3 inflammasome activation and apoptosis in the PFC.
Does double‐blind peer review reduce bias? Evidence from a top computer science conference
Authors: Sun Mengyi , Barry Danfa Jainabou , Teplitskiy Misha 
Published: October 2021

AbstractPeer review is essential for advancing scientific research, but there are long‐standing concerns that authors' prestige or other characteristics can bias reviewers. Double‐blind peer review has been proposed as a way to reduce reviewer bias, but the evidence for its effectiveness is limited and mixed. Here, we examine the effects of double‐blind peer review by analyzing the review files of 5,027 papers submitted to a top computer science conference that changed its reviewing format from single‐ to double‐blind in 2018. First, we find that the scores given to the most prestigious authors significantly decreased after switching to double‐blind review. However, because many of these papers were above the threshold for acceptance, the change did not affect paper acceptance significantly. Second, the inter‐reviewer disagreement increased significantly in the double‐blind format. Third, papers rejected in the single‐blind format are cited more than those rejected under double‐blind, suggesting that double‐blind review better excludes poorer quality papers. Lastly, an apparently unrelated change in the rating scale from 10 to 4 points likely reduced prestige bias significantly such that papers' acceptance was affected. These results support the effectiveness of double‐blind review in reducing biases, while opening new research directions on the impact of peer‐review formats.
Highly sensitive SERS detection of residual nitrofurantoin and 1‐amino‐hydantoin in aquatic products and feeds
Authors: Fan Wanli , Gao Weixing , Jiao Jian , Wang Dongmei , Fan Meikun 
Published: October 2021

AbstractNitrofurantoin (NFT), a typical highly effective nitrofuran antibiotic drug, has been prohibited but still widely found in animal food products. It can be metabolized in animals to form 1‐amino‐hydantoin (AHD) that can then form stable and toxic metabolite‐protein adducts. Hence, the detection of NFT and AHD in aquatic products and feeds is very important. However, there are limited reports concerning NFT detection and none about AHD by using surface‐enhanced Raman spectroscopy (SERS) method. Herein, potassium bromide (KBr) decorated silver (Ag) nanoparticles (Ag‐BrNPs)‐based SERS approach was proposed for NFT and AHD detection. The limit of detection (LOD) for NFT was 1 μg/L. The detection of NFT residues in sea cucumber and fish feeds was also realized with the LOD of 1 and 50 ng/g, respectively. More importantly, the sensing of AHD was easily realized with the SERS approach for the first time. After the derivatization with 2‐nitrobenzaldehyde (2‐NBA), Ag‐BrNPs were also successfully utilized for AHD detection in sea cucumber with the LOD of 5 ng/g.
Illumination correction with optimized kernel extreme learning machine based on improved marine predators algorithm
Authors: Yang Junyi , Zheng Minhui , Chen Sheng 
Published: October 2021

AbstractAiming at the problem of poor image illumination correction accuracy, a kernel extreme learning machine optimized based on the differential evolution‐improved marine predators algorithm is proposed to estimate the scene illumination information and restore the image. First, in order to solve the problem of randomization of the initial population of the marine predators algorithm, differential evolutions is used to provide a set of suitable initial populations to the algorithm. Then, an improved algorithm is used to optimize the weight and bias of the kernel extreme learning machine to solve the problem of the randomness of the weight and bias, so that the learning machine converges to the global optimal value and avoids the unstable predictions. Finally, after obtaining the predicted illumination information, the image model is corrected to the image effect under standard illumination through diagonal transformation. It can be seen from the experimental results that the best predictive value of the differential evolution marine predator algorithm learning machine is 0.0135915, and the quasi‐bias is only 0.001687. Compared with traditional illumination estimation algorithms such as random vector functional link and extreme learning machine, the differential evolution marine predator algorithm learning machine algorithm proposed in this article has better stability, higher accuracy of calculated predicted values, and better image restoration effect.