bluuebunny/crossref_metadata_2025_split huggingface dataset:
Operational Planning Of Optimal Wood Supply-Chain Network With Focus On Inbound Logistics Constraints
Authors: Parsakhoo Aidin , Ezzati Sattar , Pirov Saba , Akerdi Yadollah Rasouli 
Published: March 2022

Abstract
Procuring enough raw materials is an important decision faced with industries’ logistic managers to sustain production lines and improve the competitiveness of an industry within the global market. Since 2017 a large numbers of forest companies in northern Iran have struggling with providing enough wood supply to retain their production-line demands as a result of the logging ban policy over commercial forests. Therefore, they have to buy commercial logs from far-distance domestic plantation and low-quality timbers, either from legitimate or illegitimate sources. This will negatively affect transportation and unit delivery cost of raw materials. The current study is aimed to provide an integrated modeling approach to analyze the current supply-chain network and propose possible logistic scenarios to improve inbound logistics. The model was applied to a realistic wood supply-chain network of 23,000 km² with 172 forest companies which stretch across 20 cities in Mazandaran province, located in northern Iran. To do so, supply sites, demand locations, cost data (transport, loading and unloading type of machine, etc.) and assortment types were collected. Then, an optimization model with in inventory management was formulated to integrate this information and provide an optimal solution. The results showed that the demand portfolio of the studied logistic network consisted of sawlogs (38%), low-quality timbers (15%) and farm-tree pruning woods (45%). Illegitimated timbers provided 22% of the small-sized mill’s demands, while the rest came from legal sources and/or wood yard terminals. The use of wood-yard terminal instead of purchasing woods from illegitimate wood dealers led to a saving of US$1.29 of available tonnes of wood fibers. We assessed the sensitivity of the solution, such as changing in the policy of illegitimate woods, which shows a significant effect on the total cost of network.
Is Checklist an Effective Tool for Teaching Research Students? A Survey-based Study
Authors: Makram Abdelrahman M , Wang Julia , Vaghela Gladson , Gala Dhir , Quan Nguyen Khoi , Duc Minh , Imoto Atsuko , Moji Kazuhiko , Huy Nguyen Tien 
Published: March 2022

Abstract
Background: Students face hardships in determining what are the main points that need more studying in every subject. Checklists are one of the ways that can help students identify the most important pieces of information. Accordingly, in this study, we aimed at examining the impact of using educational checklists on the learning process of postgraduate students in Nagasaki University, Japan.Methods: Thirty-one Master students, who finished a “how to write a research protocol” course were recruited by sending them an invitation email that had an attached link to a previously developed and tested questionnaire on the SurveyMonkey® platform. After signing the electronic informed consent, twenty-two participants (response rate = 71%) finished the survey. The data was analyzed using Microsoft Excel and expressed in the form of frequencies and percentages.Results: More than half of the students declared that they know the checklist will be used in the course which we investigated. Only two students used checklists as a means of studying (9%). Twelve students (55%) confirmed that no other courses or lessons in the School of Tropical Medicine and Global Health (TMGH) use checklists. No students found the usage of checklists not easy or not practical to apply. Many students thought the length of the checklist was suitable and not too short (64%), although three students (14%) found it lengthy. Moreover, most students described the checklist as beyond good (86%) and they would recommend using a checklist for teaching other college students (73%).Conclusion: Using checklists in education can facilitate the learning process, help in memorization, and deepen the concepts being studied. Further studies are required to examine the impact of checklists in teaching undergraduate students and students from other non-healthcare disciplines.
Deep Learning for Necrosis Detection Using Canine Perivascular Wall Tumour Whole Slide Images
Authors: Rai Taranpreet , Morisi Ambra , Wells Kevin , Bober Miroslaw , Ragione Roberto La , Bacci Barbara , Bacon Nicholas J. , Thomas Spencer Angus , Aboellail Tawfik , Dark Michael J. 
Published: March 2022

Abstract
Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards scoring tumour grade which then determines treatment options. However conventional manual assessment suffers from inter-operator reproducibility impacting grading precision. To address this, automatic necrosis detection using AI may be used to assess necrosis for final scoring that contributes towards the final clinical grade. Using deep learning AI, we describe a novel approach for automating necrosis detection in Whole Slide Images, tested on a canine Soft Tissue Sarcoma data set consisting of canine Perivascular Wall Tumours (cPWTs). A patch-based deep learning approach was developed where different variations of training a DenseNet-161 Convolutional Neural Network architecture were investigated as well as a stacking ensemble. An optimised DenseNet-161 with post-processing produced a hold-out test F1-score of 0.708 demonstrating state-of-the-art performance. This represents a novel first-time automated necrosis detection method in the canine Soft Tissue Sarcoma domain as well specifically in detecting necrosis in cPWTs demonstrating a significant step forward in reproducible and reliable necrosis assessment for improving the precision of tumour grading.
A functional and neuropsychological perspective of digital financial decision- making: betrayal aversion and risk behavior
Authors: Carbó-Valverde Santiago , Martín-Ríos Raquel , Fernández Francisco Rodríguez 
Published: March 2022

Abstract
Aims: Detecting the factors associated with financial decision-making is an unresolved challenge when trying to predict digital financial behavior. This study was designed to better understand how both neuropsychological factors and neuronal correlates affect digital financial decision-making regarding two specific behaviors: betrayal aversion and risk tendency. Methods: 120 Participants (Xage=21.7; SD=2.8) were assessed with measures of impulsivity (UPPS Impulsive Behavior Scale), the Sensitivity to Punishment and Reward (SPSRQ) and the level of confidence in both digital and traditional financial transactions. In order to determine the impact of these factors on financial decision-making, we conducted a neuro-experiment using a risk and trust game approach. Results: Upon analysis of the statistical results from the experiment, we find that sensation seeking and confidence in mobile digital transactions are significant predictors of risk behavior in financial decision-making; however, we also find that a high aversion to betrayal is characterized by a lower mean volume in the left temporal area, as well as a lower volume in the parietal and insular areas. Conclusion: High aversion implies an impulsive and stimulus-seeking behavioral pattern. In addition, this group presents lower volumes in parietal areas, traditionally associated with working memory performance, as well as insular areas linked to decision-making.
DC-derived IL-27 suppresses anti-tumor immunity via the modulation of gut microbiota
Authors: Liu Yonghao , Song Yuan , Gong Huanle , Jin Ziqi , Lei Lei , Zhu Ying , Mei Yu , Teo Huey Yee , Yin Zhinan , Wu Depei , Liu Haiyan 
Published: March 2022

Abstract
BackgroundChronic inflammation has been shown to be crucial in promoting tumor initiation and development in many cancer types, including hepatocellular carcinoma (HCC). It is characterized by the persistent expression of inflammatory cytokines surrounding the tissues. IL-27 is a heterodimeric cytokine that consists of EBI3 and p28, which can be expressed by many antigen presenting cells, including monocytes, macrophages, and dendritic cells (DCs). The role of IL-27 in tumor development is controversial. Gut microbiota plays an important role in immune system development and homeostasis, while how it can be regulated to impact anti-tumor immune response is poorly understood.ResultsWe demonstrated a tumor-promoting role of DC-derived IL-27 via the modulation of gut microbiota in murine models. IL-27p28 DC-conditional knockout (Itgax-IL-27p28f/f) mice exhibited reduced tumor growth compared with WT controls. T cell anti-tumor response was enhanced, and inhibitory receptor expression was decreased. Interestingly, when WT mice received fecal transplant from Itgax-IL-27p28f/f mice, tumor growth was significantly inhibited. Their gut microbiota exhibited distinct features and gavage of bifidobacterium, a bacteria strain that was greatly increased in Itgax-IL-27p28f/f mice, reduced tumor growth. Furthermore, MHC class II expression on tumor necrosis factor and inducible nitric-oxide-synthase-producing DCs (TIP-DCs) was increased in Itgax-IL-27p28f/f mice, and their activation could be inhibited by the gut microbiota modulated by IL-27. Their function of activating CD8+ T cells was also enhanced in the absence of DC-derived IL-27. ConclusionDC-derived IL-27 could promote tumor development and suppress anti-tumor immune response by inhibiting the function of TIP-DCs via the modulation of gut microbiota. This indirect effect of IL-27 on adaptive immune response provides insights into possible organ-specific functions of IL-27 and targeting IL-27 in tumor immunotherapy.
Periappendiceal Fluid Collection on Preoperative Computed Tomography Can be an Indication for Interval Appendectomy: a Retrospective Study
Authors: Kanaka Shintaro , Mizutani Satoshi , Yokoyama Yasuyuki , Matsutani Takeshi , Katsuno Akira , Takata Hideyuki , Nakata Ryosuke , Mishima Keisuke , Wada Yudai , Shimizu Takao , Yamagiwa Ryo , Haruna Takahiro , Nakamura Yuka , Hamaguchi Akira , Taniai Nobuhiko , Yoshida Hiroshi 
Published: March 2022

Abstract
Background: The treatment strategies for acute appendicitis, such as emergency appendectomy (EA), interval appendectomy (IA), and repeating nonoperative management (NOM), are controversial. In this study, we examined the preoperative factors that can be used to distinguish which patients should undergo IA.Methods: We retrospectively identified 902 patients who underwent surgery for appendicitis in our hospital from January 2010 to December 2021. Of these patients, 776 were included in this study. The patients were divided into two groups: those with a periappendiceal fluid collection (PAFC) on preoperative computed tomography (PAFC-positive group, n = 170) and those without a PAFC (PAFC-negative group, n = 606). In each group, we compared patients who underwent EA and IA.Results: In the PAFC-positive group, patients who underwent EA had a significantly higher postoperative complication rate than those who underwent IA (40.5% vs. 24.0%, p = 0.037). In the multivariate analysis, only the presence of PAFC was significantly associated with an increased risk of postoperative complications (odds ratio, 7.11; 95% confidence interval, 2.73–18.60; p < 0.001). The presence of PAFC alone was not significantly associated with an increased risk of IA or NOM failure (odds ratio, 1.48; 95% confidence interval, 0.19–11.7; p = 0.71). The rate of neoplasia on pathologic examination was significantly higher in the PAFC-positive than PAFC-negative group (7.6% vs. 1.5%, p < 0.001); the rate of carcinoma was also higher in the PAFC-positive group (2.4% vs. 0.17%, p = 0.02).Conclusions: The presence of PAFC on preoperative computed tomography was found to be a risk factor for postoperative complications but not IA or NOM failure. It was also correlated with neoplasia as the etiology of appendicitis. Therefore, PAFC positivity is useful as an indication for IA.
Mutant p53 and ELK-1 co-drive the expression of FRA-1 in breast cancer cells
Authors: Hu Sike , Wang Manxue , Ji Ailing , Yang Jie , Gao Ruifang , Li Xia , Sun Lili , Yang Zibo , Zhang Ying , Liu Hongbin 
Published: March 2022

Abstract
Tumor-related p53 mutations can provoke activities different from p53 wild-type tumors to lose tumor-suppressing function. Cells harboring p53 mutations possess a more aggressive property associated with highly pro-invasion, pro-metastasis, proliferation, and cell survival. By comparing the gene expression profiles of p53 mutant and p53 knockdown cancer cells, we figure out FRA-1 as a potential effector of mutp53-mediated metastasis. We demonstrate that the expression of FRA-1, a gatekeeper of mesenchymal-epithelial transition encoded by FOSL1, elevates in the presence of p53 mutations. Mechanistically, mutant p53 binds to ELK-1 in BRCA cells, implying their collaboration to induce FRA-1 expression. In short, this study deciphers new insights into how mtp53 handles metastasis.
Impact of COVID-19 on University Students’ Quality of Life and Mental Health in Greece: a Cross-sectional Study
Authors: Tsami Faidra Foteini , Kanellopoulou Aimilia , Alexopoulou-Prounia Loukia , Tsapara Aggeliki , Katsadoros Kiriakos , Alexopoulos Panos , Vantarakis Apostolos 
Published: March 2022

Abstract
Background: COVID-19 pandemic has highlighted an increasing deterioration of university students’ quality of life and mental health. COVID-19 pandemic forced university students to take online classes, which may have an impact on students’ education. In addition, students lost many job opportunities because of the pandemic. Faced with unemployment and study pressure and worried about the epidemic, university students were prone to high overall negative emotions, anxiety, and depression. Our study aims to conduct an impact assessment of the COVID-19 pandemic on the quality of life and mental health of university students.Methods: We conducted a cross-sectional study using an online interview survey on students at public universities in Greece to better understand the effects of the pandemic on their quality of life and mental health. Three tools were used (WHOQOL-BREF, IES-R, and HADS) as well as five separate questions directed only at participants who have been previously hospitalized due to self-destructive behaviors. Results: 1.266 university students from public Greek Universities participated in the study, 73.1% of which were female, 26,3% were male. We observed that 55,8% had a score lower than 50 in the psychological domain and 52,3% in the social domain of WHOQOL-BREF. Additionally, 46.6% of the respondents had a score of 37+ on the IES-R questionnaire, 45% of the respondents had abnormal results regarding anxiety and 33.6% had abnormal results regarding depression on the HADS questionnaire. Conclusions: Due to the long duration of the pandemic and measures such as lockdown and stay-at-home orders, the COVID-19 pandemic brings negative impacts on the quality of university education as well as the quality of life and wellbeing of students. The findings of our study highlight the urgent need to develop interventions and strategies to address the quality of life and mental health consequences of university students.
Relationship between ENO1 and Metastasis Risk and Prognosis in Esophageal squamous cell carcinoma
Authors: Bai Rui , Xiang Yuandi , Tian Mian , Yuan Cheng , Hua Qingquan 
Published: March 2022

Abstract
Objective
Esophageal cancer (EC), a common gastrointestinal malignancy, ranks as the sixth leading cause of cancer death worldwide. Esophageal squamous cell carcinoma (ESCC) is the predominant histological subtype of EC. Lack of potential biomarkers for treatment and prognosis is a limitation for early diagnosis and treatment of ESCC.
Methods
Based on The Cancer Genome Atlas (TCGA) database, the weighted gene co-expression network analysis (WGCNA) was constructed to identify gene modules associated with the metastasis in ESCC. The LASSO algorithm was used to construct a prognosis genes model. After the collinearity test, all independent prognostic parameters and important clinical parameters were included in the prognostic nomogram constructed by the Cox regression model. The nomogram was used to evaluate the prognostic significance of these parameters in ESCC. Finally, we used biological experiments to preliminary investigate the impact of ENO1 on the metastasis risk of ESCC.
Results
A total of 16 genetic modules were identified, and the brown module is considered the most relevant to tumor metastasis. (P = 0.02, R2 = 0.30). Protein-protein interaction (PPI) network was performed to identify the hub nodes in the brown module. The univariate and multivariate Cox regression analysis indicated that ENO1 and SUPT5H were independent prognostic factors. Expression data of ENO1 was pipelined along with patients’ clinic pathological data for nomogram construction 1-, and 2-OS forecasting. ENO1 gene was regarded as "real" hub genes for cancer metastasis risk. Low-expressed ENO1 inhibited migration and invasion of human ESCC cells in vitro. The mechanism may involve the Wnt signaling pathway and the influence of EMT.
Conclusion
ENO1 might be a novel metastasis risk biomarker for ESCC.
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
Authors: Datta Gourav , Kundu Souvik , Yin Zihan , Lakkireddy Ravi Teja , Mathai Joe , Jacob Ajey , Beerel Peter , Jaiswal Akhilesh 
Published: March 2022

Abstract
The demand to process vast amounts of data generated from state-of-the-art high resolution cameras has motivated novel energy-efficient on-device AI solutions. Visual data in such cameras are usually captured in analog voltages by a sensor pixel array, and then converted to the digital domain for subsequent AI processing using analog-to-digital converters (ADC). Recent research has tried to take advantage of massively parallel low-power analog/digital computing in the form of near- and in-sensor processing, in which the AI computation is performed partly in the periphery of the pixel array and partly in a separate on-board CPU/accelerator. Unfortunately, high-resolution input images still need to be streamed between the camera and the AI processing unit, frame by frame, causing energy, bandwidth, and security bottlenecks. To mitigate this problem, we propose a novel Processing-in-Pixel-in-memory (P2M) paradigm, that customizes the pixel array by adding support for analog multi-channel, multi-bit convolution, batch normalization, and ReLU (Rectified Linear Units). Our solution includes a holistic algorithm-circuit co-design approach and the resulting P2M paradigm can be used as a drop-in replacement for embedding memory-intensive first few layers of convolutional neural network (CNN) models within foundry-manufacturable CMOS image sensor platforms. Our experimental results indicate that P2M reduces data transfer bandwidth from sensors and analog to digital conversions by ~21x, and the energy-delay product (EDP) incurred in processing a MobileNetV2 model on a TinyML use case for visual wake words dataset (VWW) by up to ~11x compared to standard near-processing or in-sensor implementations, without any significant drop in test accuracy.
Investigation Of The Topographic Relations Regarding the Clinical Anatomy Of Levator Scapulae Muscle
Authors: Kaya Seren , Karip Burak , Köse Özlem Öztürk , Balcıoğlu Hüseyin Avni , Keleş Papatya 
Published: March 2022

Abstract
Purpose: The levator scapula muscle is affected in cervical dystonia, myofascial pain syndrome, and it is a preferred muscle for tendon transfers and muscle flaps. There is no cadaveric study in the literature investigating the detailed anatomy of this clinically important muscle, including its topographic relationships and morphometric data. Therefore, our study aims to define the origins, insertions, innervations, topographic and morphological features of the muscle with cadaver dissections. Methods: Those features of the muscle with the surrounding nerves were determined by bilateral dissections on 7 cadavers (4 males, 3 females) belonging to the Department of Anatomy of the University of Health Sciences, Hamidiye Faculty of Medicine. The morphometric measurements of the muscle were evaluated in the SPSS program with nonparametric statistical analysis and correlation methods. Results: In the insertion region of the muscle, which starts with a 42.86% non-symmetrical attachment from different numbers of cervical vertebra, 66.66% m. found to be associated with serratus anterior. The origo width is 52.76 ± 7.89mm, with an average; insertion width 51.05 ± 5.25mm; axial length 124.64 ± 16.70mm; The width, thickness and distance of the widest part to the insertion were 36.57 ± 6.37, respectively; 9.14 ± 3.73; 54.97 ± 10.38 mm found. Conclusion: We anticipate that our current findings will increase anatomical knowledge about the levator scapula and provide support for anatomy education and clinical approaches such as muscle transfer, myotomy, denervation, dry needling, flap applications.
Dysregulation of lncRNA LINC00968 may contribute to the tumorigenesis of estrogen receptor-positive (ER+) breast cancer
Authors: Arabpour Maedeh , Layeghi Sepideh Mehrpour , Majidzadeh-A Keivan , bazzaz Javad Tavakkoly , Mamivand Ali , Naghizadeh Mohammad Mehdi , Shakoori Abbas 
Published: March 2022

Abstract
Background: Estrogen receptor-positive (ER+) breast cancer (BC) (luminal A and B subtypes) comprises up to 70% of all BC patients. LncRNAs can affect many biological and pathological processes, and dysregulation of them is related to human cancers. The potential role of lncRNA LINC00968 in ER+ BC is still unclear. Methods: We analyzed the LINC00968 expression across 44 paired luminal BC tissues from the TCGA-BRCA RNA sequencing dataset, and we used the GEPIA2 web server and GENEVESTIGATOR software, as well. The qRT-PCR assay was performed to confirm the LINC00968 expression in 71 paired luminal BC tissues and two luminal A cell lines (MCF7 and T47D). Moreover, to better understand the potential function of LINC00968 in luminal BC, multiple in silico data analyses have been done including co-expression, functional enrichment, and genetic alteration analyses. Results: The results of data analyses retrieved from BRCA dataset and databases revealed the significant downregulation of LINC00968 in luminal A and B BC. Also, the results of qRT-PCR in luminal BC tissues and cell lines confirmed the earlier data. LINC00968 expression was negatively associated with tumor stage and lymph node metastasis. Additionally, functional annotation analyses revealed that LINC00968 might be involved in vascular development and angiogenesis, extracellular matrix organization, and cell motility and migration. LINC00968 might have functions in some cancer-related signaling pathways, like the PPAR signaling pathway, small ligand GPCRs, etc. Conclusions: Our study found that LINC00968 may be a potential tumor suppressor gene in luminal BC. Downregulation of LINC00968 might promote tumorigenesis, invasion, and metastasis of luminal BC.