bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can the Pareto optimality theory reveal cellular trade-offs in diffuse large B-Cell lymphoma transcriptomic data?
Authors: Blais Jonatan , Jeukens Julie 
Published: October 2023

Abstract

One of the main challenges in cancer treatment is the selection of treatment resistant clones which leads to the emergence of resistance to previously efficacious therapies. Identifying vulnerabilities in the form of cellular trade-offs constraining the phenotypic possibility space could allow to avoid the emergence of resistance by simultaneously targeting cellular processes that are involved in different alternative phenotypic strategies linked by trade-offs. The Pareto optimality theory has been proposed as a framework allowing to identify such trade-offs in biological data from its prediction that it would lead to the presence of specific geometrical patterns (polytopes) in e.g. gene expression space, with vertices representing specialized phenotypes. We tested this approach in diffuse large B-cell lymphoma (DLCBL) transcriptomic data. As predicted, there was highly statistically significant evidence for the data forming a tetrahedron in gene expression space, defining four specialized phenotypes (archetypes). These archetypes were significantly enriched in certain biological functions, and contained genes that formed a pattern of shared and unique elements among archetypes, as expected if trade-offs between essential functions underlie the observed structure. The results can be interpreted as reflecting trade-offs between aerobic energy production and protein synthesis, and between immunotolerant and immune escape strategies. Targeting genes on both sides of these trade-offs simultaneously represent potential promising avenues for therapeutic applications.
Dengue hemorrhagic fever: a growing global menace
Authors: Parveen Shakeela , Riaz Zainab , Saeed Saba , Ishaque Urwah , Sultana Mehwish , Faiz Zunaira , Shafqat Zainab , Shabbir Saman , Ashraf Sana , Marium Amna 
Published: October 2023

AbstractDengue virus is an arthropod-borne virus, transmitted by Aedes aegypti among humans. In this review, we discussed the epidemiology of dengue hemorrhagic fever (DHF) as well as the disease's natural history, cycles of transmission, clinical diagnosis, aetiology, prevention, therapy, and management. A systematic literature search was done by databases such as PubMed and Google Scholar using search terms, ‘dengue fever’, ‘symptoms and causes of dengue fever’, ‘dengue virus transmission’, and ‘strategies to control dengue’. We reviewed relevant literature to identify hazards related to DHF and the most recent recommendations for its management and prevention. Clinical signs and symptoms of dengue infection range from mild dengue fever (DF) to potentially lethal conditions like DHF or dengue shock syndrome (DSS). Acute-onset high fever, muscle and joint pain, myalgia, a rash on the skin, hemorrhagic episodes, and circulatory shock are among the most common symptoms. An early diagnosis is vital to lower mortality. As dengue virus infections are self-limiting, but in tropical and subtropical areas, dengue infection has become a public health concern. Hence, developing and executing long-term control policies that can reduce the global burden of DHF is a major issue for public health specialists everywhere.
A Review of Proposed Mechanisms in Rheumatoid Arthritis and Therapeutic
Strategies for the Disease
Authors: Mohite Rupali , Doshi Gaurav 
Published: October 2023

Abstract:
Rheumatoid arthritis (RA) is characterized by synovial edema, inflammation, bone and cartilage loss, and joint degradation. Patients experience swelling, stiffness, pain, limited joint movement, and decreased mobility as the condition worsens. RA treatment regimens often come with various side effects, including an increased risk of developing cancer and organ failure, potentially leading to mortality. However, researchers have proposed mechanistic hy-potheses to explain the underlying causes of synovitis and joint damage in RA patients. This review article focuses on the role of synoviocytes and synoviocytes resembling fibroblasts in the RA synovium. Additionally, it explores the involvement of epigenetic regulatory systems, such as microRNA pathways, silent information regulator 1 (SIRT1), Peroxisome proliferator-activated receptor-gamma coactivator (PGC1-α), and protein phosphatase 1A (PPM1A)/high mobility group box 1 (HMGB1) regulators. These mechanisms are believed to modulate the function of receptors, cytokines, and growth factors associated with RA. The review article includes data from preclinical and clinical trials that provide insights into potential treatment options for RA.
Value of Multimodal Diffusion-weighted Imaging in Preoperative Evaluation of
Ki-67 Expression in Endometrial Carcinoma
Authors: Meng Huan , Ding Si-Xuan , Zhang Yu , Zhu Feng-Ying , Wang Jing , Wang Jia-Ning , Gao Bu-Lang , Yin Xiao-Ping 
Published: October 2023

Purpose:
To investigate the value of multimodal diffusion weighted imaging (DWI) in preoperative evaluation of Ki-67 expression of endometrial carcinoma (EC).

Materials and Methods:
Patients who had undergone pelvic DWI, intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) sequence MRI scan before surgery were retrospectively enrolled. Single index model, double index model, and DKI were used for post-processing of the DWI data, and the apparent diffusion coefficient (ADC), real diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), non-Gaussian mean diffusion kurtosis (MK), mean diffusion coefficient (MD) and anisotropy fraction (FA) were calculated and compared between the Ki-67 high (≥50%) and low (＜50%) expression groups.

Results:
Forty-two patients with a median age of 56 (range 37 - 75) years were enrolled, including 15 patients with a high Ki-67 (≥50%) expression and 27 with a low Ki-67 (<50%) expression. The MK (0.91 ± 0.12 vs. 0.76 ± 0.12) was significantly (P<0.05) higher while MD (0.99 ± 0.17 vs. 1.16 ± 0.22), D (0.55 ± 0.06 vs. 0.62 ± 0.08), and f (0.21 vs. 0.28) were significantly (P<0.05) lower in the high than in the low expression group. The combined model of MK, MD, D, and f values had the largest area under the curve (AUC) value of 0.869 (95% CI: 0.764-0.974), sensitivity 0.733 and specificity 0.852, followed by the MK value with an AUC value 0.827 (95% CI: 0.700-0.954), sensitivity 0.733 and specificity 0.815.

Conclusions:
IVIM and DKI have certain diagnostic values for preoperative evaluation of the EC Ki-67 expression, and the combined model has the highest diagnostic efficiency.
Deep Learning Mammography Classification with a Small Set of Data
Authors: Michael Epimack , Ma He , Mawagali Palme 
Published: October 2023

Background:
Breast cancer is one of the leading causes of mortality among women. In addition, 1 in 8 women and 1 in 833 men will be diagnosed with breast cancer in 2022. The detection of breast cancer can not only lower treatment costs but also increase survival rates. Due to increased cancer awareness, more women are undergoing breast cancer screening, leading to more cases being diagnosed worldwide, but doctors' ability to analyze these images is limited. As a result, they get overloaded leading to misinterpretations. The advent of computer-aided diagnosis (CAD) minimized man’s involvement and achieved good results. CAD helps medical doctors automatically detect and analyze abnormalities found in the breast. Such abnormalities may be benign or malignant tumors.

Objective:
The goal of this study is to evaluate the effectiveness of using seven layers to classify breast cancer as either benign or malignant using mammograms.

Materials and Methods:
The open-source MIAS dataset of 322 images was used for our study, of which 207 were normal images and 115 were abnormal images. The proposed CNN model convolves an image into seven layers that extract features from the input images, and these features are used to classify breast cancer as malignant or benign.

Results:
The proposed CNN used a limited data set and achieved the best result compared to previous work. The method achieved results with a 0.39% loss, 99.89% accuracy, 99.85% precision, 99.89% recall, 99.87% F1-score, and an area under the curve noted to be 100.0%.

Conclusion:
CNN uses a small amount of data to determine abnormalities; the method will assist a medical doctor in determining whether or not a specific patient has cancer.
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study
Authors: Rollwage Max , Habicht Johanna , Juechems Keno , Carrington Ben , Viswanathan Sruthi , Stylianou Mona , Hauser Tobias U , Harper Ross 
Published: October 2023

Background
Most mental health care providers face the challenge of increased demand for psychotherapy in the absence of increased funding or staffing. To overcome this supply-demand imbalance, care providers must increase the efficiency of service delivery.

Objective
In this study, we examined whether artificial intelligence (AI)–enabled digital solutions can help mental health care practitioners to use their time more efficiently, and thus reduce strain on services and improve patient outcomes.

Methods
In this study, we focused on the use of an AI solution (Limbic Access) to support initial patient referral and clinical assessment within the UK’s National Health Service. Data were collected from 9 Talking Therapies services across England, comprising 64,862 patients.

Results
We showed that the use of this AI solution improves clinical efficiency by reducing the time clinicians spend on mental health assessments. Furthermore, we found improved outcomes for patients using the AI solution in several key metrics, such as reduced wait times, reduced dropout rates, improved allocation to appropriate treatment pathways, and, most importantly, improved recovery rates. When investigating the mechanism by which the AI solution achieved these improvements, we found that the provision of clinically relevant information ahead of clinical assessment was critical for these observed effects.

Conclusions
Our results emphasize the utility of using AI solutions to support the mental health workforce, further highlighting the potential of AI solutions to increase the efficiency of care delivery and improve clinical outcomes for patients.
Penerapan Prosedur Operasi Standar dalam Penyiapan Kamar Kosong oleh Room Attendant
Authors: Setyawan I Putu Ananda , Ismail Deden 
Published: October 2023

Penelitian ini bertujuan untuk mengetahui penerapan standard operating procesure penyiapan kamar vacant di Hotel The Trans Resort Bali. Populasi dalam penelitian ini adalah karyawan di Hotel The Trans Resort Bali dengan mengambil sample sebanyak 7 orang karyawan room attendant pada tanggal 30 Mei 2022. Penelitian ini dilakukan selama 6 bulan, yakni, pada bulan Desember 2021-Juni 2022. Teknik analisis data yang diperoleh dari hasil observasi adalah dengan metode analisis data menggunakan uji nonparametik analisis binomial test dengan program SPSS pRelease 24, berdasarkan distribusi binomial dengan penetapan parameter probabilitas. Proposi yang dianggap sesuai dengan SOP yaitu ? 0.85 proporsi tes. Berdasarkan hasil penelitian ini ditemukan bahwa penerapan SOP penyiapan kamar vacant sudah sesuai dengan standar. Sehingg dari penelitian ini dapat disimpulkan bahwa dalam penerapan standard operating procedure penyiapan kamar vacant di Hotel The Trans Resort Bali, Seminyak, tidak ada perbedaan yang nyata (p>0.05) antara proporsi observasi yang sesuai dengan SOP yaitu 0.78 dengan yang seharusnya ?0.85 dengan kategori sesuai standar.

This study aims to determine the application of standard operating procedure for preparing vacant room’s at the Hotel The Trans Resort Bali, Seminyak. The population in this study were employees at The Trans Resort Bali Hotel by taking a sample of 7 room attendant employess on 30 May 2022. This research was conducted for 6 month, namely in December 2021-June 2022. The data analysis technique obtained from the observation is the data analysis test with the SPSS pRelease 24 Program, based on the binomial distribution with the determination of probability parameters. The proportion that is considered in accordance with the SOP is ?0.85 the proportion of the test. Based on the result of this study, it was found that the implementation of the SOP for vacant room preparation was in accordance with the standard. From this study it can be concluded that in the application of the standard operating procedure for preparing vacat rooms at The Trans Resort Bali, Seminyak, there is no significant difference (p>0.05) between the proportion of observation that are in accordance with the SOP, which is 0.78 and those that should be ?0.85 with the appropriate category standard.
Penerapan Hygiene dan Sanitasi di Kemiri Restoran
Authors: Wahyuni Ni Putu Cindy , Juniarta Pande Putu 
Published: October 2023

Penerapan hygiene dan sanitasi direstoran merupakan salah satu hal yang sangat penting diterapkan, hal ini dikarenakan bahwa hygiene dan sanitasi memberikan dampak positif bagi pengembangan sebuah restoran, jika hygiene dan sanitasi tidak diperhatikan maka akan mengakibatkan penurunan kepuasan pelanggan dan berdampak pada reputasi restoran. Tujuan dari penelitian ini adalah untuk mengetahui penerapan hygiene dan sanitasi di Kemiri restoran pada COMO Uma Ubud Hotel. Metode penelitian yang digunakan adalah observasi, wawancara dan studi kepustakaan. Penelitian ini dilaksanakan di Kemiri restoran pada COMO Uma Ubud Hotel dalam kurun waktu 6 bulan. Berdasarkan hasil penelitian ditemukan bahwa ada 2 standar penerapan hygiene dan sanitasi yang tidak dilakukan dan 1 standar penerapan hygiene dan sanitasi yang jarang dilakukan, antara lain kerapian rambut, kebersihan diri seperti mencuci tangan sebelum maupun sesudah memulai kegiatan, dan kebersihan lingkungan kerja, untuk memperbaiki itu perlunya tingkat kesadaran para karyawan dan pengawasan dari atasan untuk memastikan para karyawan telah melakukan prosedur sesuai standar.

The implementation of restaurant hygiene and sanitation is one of the most important things to do, if cleanliness and sanitation are not considered it will result in a decrease in customer satisfaction and have an impact in the hotel reputation . The purpose of this study was to know how the application of hygiene and sanitation in Kemiri restaurant at COMO Uma Ubud Hotel. Methodology used in this research is the method of observation, interview and literature study. This research was conducted at COMO Uma Ubud Hotel for 6 months. It was found that there were 2 standards of application of hygiene and sanitation that were not carried out and 1 standard of application of hygiene and sanitation that was rarely carried out, including hair neatness, washing hands before and after starting activities, and cleanliness of the work environment, to improve it. the need for awareness level of employees and supervision from superiors to ensure employees have carried out procedures according to standards.
Multi-level marketing system with industrial food processing in Africa: smallholder tomato farmers in Tanzania
Authors: Mwinyiheri Nasibu Yusuph , Salin Victoria , Zhang Yu Yvette , Lin Benxi , Chewe Chileshe 
Published: October 2023

Abstract
There are few challenges greater than the puzzle of how to move perishable goods from smallholders’ fields to final consumers, particularly where transportation barriers abound. Industrial processing can relax the perishability constraint and improve smallholders’ options. In Iringa, Tanzania, multiple tomato processing establishments and traditional marketing agents are available for farmers to use. Information about the channels is expected to be vital for producers to choose optimally. In this study, we collected field data from 286 smallholder farmers and analyzed their market channel choice using the random utility model implemented with multinomial logit regression. Revenue performance was further evaluated. Our results confirm that access to market information and extension services were associated with higher farm revenue. Women farmers had more concerns than men about lacking information. Market participation differed by size of the business. Farmers with higher harvested quantity were more likely to choose industrial processing. Producers with small farms preferred full marketing service and mid-size farms chose wholesale markets. Agribusiness management scholars may follow similar research design with future attention paid to elicitation of producers’ information about the marketing channels.
Lysophosphatidylinositols Are Upregulated After Human β-Cell Loss and Potentiate Insulin Release
Authors: Jiménez-Sánchez Cecilia , Sinturel Flore , Mezza Teresa , Loizides-Mangold Ursula , Montoya Jonathan Paz , Li Lingzi , Di Giuseppe Gianfranco , Quero Giuseppe , Guessous Idris , Jornayvaz François , Schrauwen Patrick , Stenvers Dirk Jan , Alfieri Sergio , Giaccari Andrea , Berishvili Ekaterine , Compagnon Philippe , Bosco Domenico , Riezman Howard , Dibner Charna , Maechler Pierre 
Published: October 2023

In this study, we identified new lipid species associated with the loss of pancreatic β-cells triggering diabetes. We performed lipidomics measurements on serum from prediabetic mice lacking β-cell prohibitin-2 (a model of monogenic diabetes) patients without previous history of diabetes but scheduled for pancreaticoduodenectomy resulting in the acute reduction of their β-cell mass (∼50%), and patients with type 2 diabetes (T2D). We found lysophosphatidylinositols (lysoPIs) were the main circulating lipid species altered in prediabetic mice. The changes were confirmed in the patients with acute reduction of their β-cell mass and in those with T2D. Increased lysoPIs significantly correlated with HbA1c (reflecting glycemic control), fasting glycemia, and disposition index, and did not correlate with insulin resistance or obesity in human patients with T2D. INS-1E β-cells as well as pancreatic islets isolated from nondiabetic mice and human donors exposed to exogenous lysoPIs showed potentiated glucose-stimulated and basal insulin secretion. Finally, addition of exogenous lysoPIs partially rescued impaired glucose-stimulated insulin secretion in islets from mice and humans in the diabetic state. Overall, lysoPIs appear to be lipid species upregulated in the prediabetic stage associated with the loss of β-cells and that support the secretory function of the remaining β-cells.

Article Highlights
Circulating lysophosphatidylinositols (lysoPIs) are increased in situations associated with β-cell loss in mice and humans such as (pre-)diabetes, and hemipancreatectomy. Pancreatic islets isolated from nondiabetic mice and human donors, as well as INS-1E β-cells, exposed to exogenous lysoPIs exhibited potentiated glucose-stimulated and basal insulin secretion. Addition of exogenous lysoPIs partially rescued impaired glucose-stimulated insulin secretion in islets from mice and humans in the diabetic state. LysoPIs appear as lipid species being upregulated already in the prediabetic stage associated with the loss of β-cells and supporting the function of the remaining β-cells.
Sensory Phenotypes Provide Insight Into the Natural Course of Diabetic Polyneuropathy
Authors: Tsilingiris Dimitrios , Schimpfle Lukas , von Rauchhaupt Ekaterina , Sulaj Alba , Seebauer Lukas , Herzig Stephan , Szendroedi Julia , Kopf Stefan , Κender Ζoltan 
Published: October 2023

We aimed to investigate the characteristics and longitudinal course of sensory phenotypes identified through quantitative sensory testing (QST) in the frame of diabetic sensorimotor polyneuropathy (DSPN). A total of 316 individuals with diabetes were examined (type 2 diabetes 78.8%), 250 of whom were undergoing follow-up visits at 1, 2, and/or 4 (2.88 ± 1.27) years. Allocation into four sensory phenotypes (healthy, thermal hyperalgesia [TH], mechanical hyperalgesia [MH], and sensory loss [SL]) at every time point was based on QST profiles of the right foot. Cross-sectional analysis demonstrated a gradual worsening of clinical and electrophysiological sensory findings and increased DSPN prevalence across the groups, culminating in SL. Motor nerve impairment was observed solely in the SL group. Longitudinal analysis revealed a distinct pattern in the developmental course of the phenotype (from healthy to TH, MH, and finally SL). Those with baseline MH exhibited the highest risk of transition to SL. Reversion to healthy status was uncommon and mostly observed in the TH group. Among those without DSPN initially, presence or future occurrence of SL was associated with a three- to fivefold higher likelihood of DSPN development. Our comprehensive longitudinal study of phenotyped patients with diabetes elucidates the natural course of DSPN. QST-based sensory examination together with other tools for phenotyping may be useful in determining the natural course of diabetic neuropathy to identify patients at high risk of DSPN and guide preventive and therapeutic interventions.

Article Highlights
The course of diabetic sensorimotor polyneuropathy (DSPN) development, from healthy status to overt DSPN, is poorly understood. We studied the characteristics and longitudinal appearance of lower-extremity sensory phenotypes (healthy, thermal hyperalgesia [TH], mechanical hyperalgesia [MH], and sensory loss [SL]) identified through quantitative sensory testing in individuals with diabetes. There was an increasing severity and patterned order of longitudinal appearance across healthy, TH, MH, and SL phenotypes. SL was most strongly associated with formal DSPN. Our findings provide insight into the natural history of DSPN. Sensory phenotyping can be implemented to identify high-risk individuals and those most likely to benefit from therapeutic interventions.
Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management
Authors: Lăzăroiu George , Bogdan Mădălina , Geamănu Marinela , Hurloiu Lăcrămioara , Luminița Luminița , Ștefănescu Roxana 
Published: October 2023

Research background: Fintech development shapes corporate investment efficiency and economic growth with innovative tools, and can decrease financing constraints of enterprises, enabling direct and indirect financing and furthering inter-bank competition. Crowdfunding- and blockchain-based fintech operations harness deep and maching learning algorithms, augmented and virtual reality technologies, and big data analytics in mobile payment transactions.
Purpose of the article: We show that fintechs have reconfigured financial service delivery by harnessing AI-based data-driven algorithms and cloud and blockchain technologies. Fintech optimizes financial organization and services, economic structures and growth, data analysis, and digital banking performance. Machine learning algorithms can streamline payment operation capabilities and process promptness, ensuring smooth operational flows, assessing risks, and detecting frauds and money laundering by historical data and customer behavior analysis across instant payment networks and infrastructures.
Methods: Quality tools: AXIS, Eppi-Reviewer, PICO Portal, and SRDR. Search period: July 2023. Search terms: “fintech” + “artificial intelligence algorithms”, “cloud computing technologies”, and “blockchain technologies”. Selected sources: 40 out of 195. Published research inspected: 2023. Data visualization tools: Dimensions and VOSviewer. Reporting quality assessment tool: PRISMA.
Findings & value added: Fintech development enables organizational innovation by mitigating information asymmetry and financing limitations while providing financial assistance and tax incentives in relation to products and services. The fintech growth has influenced the dynamic intermediary function of financial institutions in terms of sustainability and economic development. Fintech and natural resources negatively influence, while green innovations and financial development further, environmental sustainability.